2025-08-26T20:07:13.8591627Z Current runner version: '2.328.0'
2025-08-26T20:07:13.8595918Z Runner name: 'i-0e4d03f5ccda2c09d'
2025-08-26T20:07:13.8596477Z Runner group name: 'default'
2025-08-26T20:07:13.8597145Z Machine name: 'ip-10-0-38-113'
2025-08-26T20:07:13.8599190Z ##[group]GITHUB_TOKEN Permissions
2025-08-26T20:07:13.8600989Z Contents: read
2025-08-26T20:07:13.8601400Z Metadata: read
2025-08-26T20:07:13.8601813Z ##[endgroup]
2025-08-26T20:07:13.8603457Z Secret source: Actions
2025-08-26T20:07:13.8604042Z Prepare workflow directory
2025-08-26T20:07:13.8947398Z Prepare all required actions
2025-08-26T20:07:13.8977238Z Getting action download info
2025-08-26T20:07:14.2434822Z Download action repository 'pytorch/test-infra@main' (SHA:0192d56cb596bb73b125bd368553908cc5c513f0)
2025-08-26T20:07:15.9077979Z Download action repository 'pytorch/pytorch@main' (SHA:9f6e1b8730d6a7a7d012be90ae08674294aa4933)
2025-08-26T20:07:27.8199306Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065)
2025-08-26T20:07:28.1154135Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722)
2025-08-26T20:07:28.3228853Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076)
2025-08-26T20:07:28.4806478Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a)
2025-08-26T20:07:28.7837351Z Getting action download info
2025-08-26T20:07:28.8973963Z Download action repository 'actions/checkout@v4' (SHA:08eba0b27e820071cde6df949e0beb9ba4906955)
2025-08-26T20:07:29.1155094Z Getting action download info
2025-08-26T20:07:29.2480308Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e)
2025-08-26T20:07:29.4453671Z Getting action download info
2025-08-26T20:07:29.5606308Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482)
2025-08-26T20:07:29.7026705Z Getting action download info
2025-08-26T20:07:29.8356928Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (262640fd220236042fbf4443cc163c8838c84c3d)
2025-08-26T20:07:29.8359798Z ##[group] Inputs
2025-08-26T20:07:29.8360138Z   build-environment: linux-jammy-py3.9-gcc11-build
2025-08-26T20:07:29.8361835Z   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"}]}
2025-08-26T20:07:29.8363856Z   docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:07:29.8364466Z   sync-tag: 
2025-08-26T20:07:29.8365042Z   timeout-minutes: 240
2025-08-26T20:07:29.8365308Z   use-gha: 
2025-08-26T20:07:29.8365536Z   dashboard-tag: 
2025-08-26T20:07:29.8365885Z   s3-bucket: gha-artifacts
2025-08-26T20:07:29.8366111Z   aws-role-to-assume: 
2025-08-26T20:07:29.8366548Z   disable-monitor: false
2025-08-26T20:07:29.8366883Z   monitor-log-interval: 5
2025-08-26T20:07:29.8367358Z   monitor-data-collect-interval: 1
2025-08-26T20:07:29.8367697Z ##[endgroup]
2025-08-26T20:07:29.8368171Z Complete job name: linux-jammy-cpu-py3.9-gcc11-inductor / test (inductor_torchbench_cpu_smoketest_perf, 1, 1, linux.24xl.spr-metal)
2025-08-26T20:07:29.8987091Z A job started hook has been configured by the self-hosted runner administrator
2025-08-26T20:07:29.9166679Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh'
2025-08-26T20:07:29.9172504Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:07:29.9172877Z ##[endgroup]
2025-08-26T20:07:30.7836915Z Runner Type: linux.24xl.spr-metal
2025-08-26T20:07:30.7837315Z Instance Type: c7i.metal-24xl
2025-08-26T20:07:30.7837508Z AMI Name: unknown
2025-08-26T20:07:30.7870220Z AMI ID: ami-05ffe3c48a9991133
2025-08-26T20:07:34.4244289Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main
2025-08-26T20:07:34.4244591Z with:
2025-08-26T20:07:34.4245094Z   github-secret: ***
2025-08-26T20:07:34.4245519Z   instructions: All testing is done inside the container, to start an interactive session run:
  docker exec -it $(docker container ps --format '{{.ID}}') bash

2025-08-26T20:07:34.4245970Z   activate-with-label: false
2025-08-26T20:07:34.4246154Z   label: with-ssh
2025-08-26T20:07:34.4246324Z   remove-existing-keys: true
2025-08-26T20:07:34.4246505Z   fail-silently: true
2025-08-26T20:07:34.4246694Z env:
2025-08-26T20:07:34.4246837Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:07:34.4247023Z ##[endgroup]
2025-08-26T20:07:34.5355574Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info.
2025-08-26T20:07:34.5356124Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys
2025-08-26T20:07:34.5590447Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main
2025-08-26T20:07:34.5590718Z with:
2025-08-26T20:07:34.5590874Z   no-sudo: true
2025-08-26T20:07:34.5591045Z   submodules: recursive
2025-08-26T20:07:34.5591225Z   fetch-depth: 0
2025-08-26T20:07:34.5591373Z env:
2025-08-26T20:07:34.5591521Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:07:34.5591708Z ##[endgroup]
2025-08-26T20:07:34.5660708Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-08-26T20:07:34.5661260Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-08-26T20:07:34.5668927Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:07:34.5669170Z env:
2025-08-26T20:07:34.5669359Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:07:34.5669576Z ##[endgroup]
2025-08-26T20:07:34.5751716Z ##[group]Run # Use all available CPUs for fetching
2025-08-26T20:07:34.5752027Z # Use all available CPUs for fetching
2025-08-26T20:07:34.5752254Z cd "${GITHUB_WORKSPACE}"
2025-08-26T20:07:34.5752468Z git config --global fetch.parallel 0
2025-08-26T20:07:34.5752711Z git config --global submodule.fetchJobs 0
2025-08-26T20:07:34.5752937Z 
2025-08-26T20:07:34.5753254Z # Clean workspace. The default checkout action should also do this, but
2025-08-26T20:07:34.5753555Z # do it here as well just in case
2025-08-26T20:07:34.5753758Z if [[ -d .git ]]; then
2025-08-26T20:07:34.5753951Z   if [ -z "${NO_SUDO}" ]; then
2025-08-26T20:07:34.5754154Z     sudo git clean -ffdx
2025-08-26T20:07:34.5754338Z   else
2025-08-26T20:07:34.5754497Z     git clean -ffdx
2025-08-26T20:07:34.5754672Z   fi
2025-08-26T20:07:34.5754823Z fi
2025-08-26T20:07:34.5759145Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:07:34.5759373Z env:
2025-08-26T20:07:34.5759529Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:07:34.5759704Z   NO_SUDO: true
2025-08-26T20:07:34.5759861Z ##[endgroup]
2025-08-26T20:07:34.5873513Z ##[group]Run actions/checkout@v4
2025-08-26T20:07:34.5873746Z with:
2025-08-26T20:07:34.5873935Z   ref: 262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T20:07:34.5874296Z   fetch-depth: 0
2025-08-26T20:07:34.5874472Z   submodules: recursive
2025-08-26T20:07:34.5874661Z   show-progress: false
2025-08-26T20:07:34.5874845Z   repository: pytorch/pytorch
2025-08-26T20:07:34.5875125Z   token: ***
2025-08-26T20:07:34.5875283Z   ssh-strict: true
2025-08-26T20:07:34.5875440Z   ssh-user: git
2025-08-26T20:07:34.5875603Z   persist-credentials: true
2025-08-26T20:07:34.5875776Z   clean: true
2025-08-26T20:07:34.5875948Z   sparse-checkout-cone-mode: true
2025-08-26T20:07:34.5876146Z   fetch-tags: false
2025-08-26T20:07:34.5876304Z   lfs: false
2025-08-26T20:07:34.5876453Z   set-safe-directory: true
2025-08-26T20:07:34.5876637Z env:
2025-08-26T20:07:34.5876792Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:07:34.5876961Z ##[endgroup]
2025-08-26T20:07:34.6747067Z Syncing repository: pytorch/pytorch
2025-08-26T20:07:34.6748020Z ##[group]Getting Git version info
2025-08-26T20:07:34.6748327Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch'
2025-08-26T20:07:34.6748758Z [command]/usr/bin/git version
2025-08-26T20:07:34.7231627Z git version 2.47.1
2025-08-26T20:07:34.7248703Z ##[endgroup]
2025-08-26T20:07:34.7256451Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/a0ed4f02-9567-423b-81ef-96c7f431c70a/.gitconfig'
2025-08-26T20:07:34.7281725Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/a0ed4f02-9567-423b-81ef-96c7f431c70a' before making global git config changes
2025-08-26T20:07:34.7282320Z Adding repository directory to the temporary git global config as a safe directory
2025-08-26T20:07:34.7285340Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-08-26T20:07:34.7346897Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch'
2025-08-26T20:07:34.7349010Z ##[group]Initializing the repository
2025-08-26T20:07:34.7351856Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-08-26T20:07:34.7423405Z hint: Using 'master' as the name for the initial branch. This default branch name
2025-08-26T20:07:34.7423759Z hint: is subject to change. To configure the initial branch name to use in all
2025-08-26T20:07:34.7424108Z hint: of your new repositories, which will suppress this warning, call:
2025-08-26T20:07:34.7424357Z hint:
2025-08-26T20:07:34.7424567Z hint: 	git config --global init.defaultBranch <name>
2025-08-26T20:07:34.7424797Z hint:
2025-08-26T20:07:34.7425029Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and
2025-08-26T20:07:34.7425362Z hint: 'development'. The just-created branch can be renamed via this command:
2025-08-26T20:07:34.7425628Z hint:
2025-08-26T20:07:34.7425789Z hint: 	git branch -m <name>
2025-08-26T20:07:34.7471381Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/
2025-08-26T20:07:34.7478660Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch
2025-08-26T20:07:34.7524464Z ##[endgroup]
2025-08-26T20:07:34.7524757Z ##[group]Disabling automatic garbage collection
2025-08-26T20:07:34.7528075Z [command]/usr/bin/git config --local gc.auto 0
2025-08-26T20:07:34.7547231Z ##[endgroup]
2025-08-26T20:07:34.7547487Z ##[group]Setting up auth
2025-08-26T20:07:34.7551907Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-08-26T20:07:34.7573272Z [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' || :"
2025-08-26T20:07:34.7970109Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2025-08-26T20:07:34.7987570Z [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' || :"
2025-08-26T20:07:34.8286353Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-08-26T20:07:34.8329780Z ##[endgroup]
2025-08-26T20:07:34.8330089Z ##[group]Fetching the repository
2025-08-26T20:07:34.8335245Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/*
2025-08-26T20:08:14.4850124Z From https://github.com/pytorch/pytorch
2025-08-26T20:08:14.4850482Z  * [new branch]              160583                      -> origin/160583
2025-08-26T20:08:14.4850787Z  * [new branch]              2.6.0.dev20241004+          -> origin/2.6.0.dev20241004+
2025-08-26T20:08:14.4851264Z  * [new branch]              5addvllmbuild               -> origin/5addvllmbuild
2025-08-26T20:08:14.4851618Z  * [new branch]              AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest
2025-08-26T20:08:14.4852017Z  * [new branch]              HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes
2025-08-26T20:08:14.4852359Z  * [new branch]              ISSUE-154849                -> origin/ISSUE-154849
2025-08-26T20:08:14.4852732Z  * [new branch]              JackCaoG/dynamo_make_fx_non_core_aten_ops -> origin/JackCaoG/dynamo_make_fx_non_core_aten_ops
2025-08-26T20:08:14.4853135Z  * [new branch]              PR-AOTInductorNoneBug       -> origin/PR-AOTInductorNoneBug
2025-08-26T20:08:14.4853492Z  * [new branch]              PR-AOTInductorNoneBugFix    -> origin/PR-AOTInductorNoneBugFix
2025-08-26T20:08:14.4853842Z  * [new branch]              PR-FixConfigsIssue          -> origin/PR-FixConfigsIssue
2025-08-26T20:08:14.4854481Z  * [new branch]              PR-NoneBugFix-viable        -> origin/PR-NoneBugFix-viable
2025-08-26T20:08:14.4854806Z  * [new branch]              PR-ResetToZero              -> origin/PR-ResetToZero
2025-08-26T20:08:14.4855128Z  * [new branch]              Update-Flash-Packaging      -> origin/Update-Flash-Packaging
2025-08-26T20:08:14.4855437Z  * [new branch]              VLA_exp                     -> origin/VLA_exp
2025-08-26T20:08:14.4855788Z  * [new branch]              add-missing-args-normalization -> origin/add-missing-args-normalization
2025-08-26T20:08:14.4856157Z  * [new branch]              add-user-guide-structure    -> origin/add-user-guide-structure
2025-08-26T20:08:14.4856476Z  * [new branch]              addVllmPin                  -> origin/addVllmPin
2025-08-26T20:08:14.4856793Z  * [new branch]              add_compile_benchmarking    -> origin/add_compile_benchmarking
2025-08-26T20:08:14.4857127Z  * [new branch]              add_windows_testing_back    -> origin/add_windows_testing_back
2025-08-26T20:08:14.4857981Z  * [new branch]              addbuildvllm                -> origin/addbuildvllm
2025-08-26T20:08:14.4858356Z  * [new branch]              addmm-heuristic             -> origin/addmm-heuristic
2025-08-26T20:08:14.4858789Z  * [new branch]              addsimde                    -> origin/addsimde
2025-08-26T20:08:14.4859955Z  * [new branch]              adi/acl_upgrade             -> origin/adi/acl_upgrade
2025-08-26T20:08:14.4860448Z  * [new branch]              adi/test                    -> origin/adi/test
2025-08-26T20:08:14.4861027Z  * [new branch]              adi/test_bgemm              -> origin/adi/test_bgemm
2025-08-26T20:08:14.4861604Z  * [new branch]              adi/test_fusions            -> origin/adi/test_fusions
2025-08-26T20:08:14.4862206Z  * [new branch]              adi/test_onednn_v3.9        -> origin/adi/test_onednn_v3.9
2025-08-26T20:08:14.4862786Z  * [new branch]              adi/test_presve_change      -> origin/adi/test_presve_change
2025-08-26T20:08:14.4864001Z  * [new branch]              adi/test_timm               -> origin/adi/test_timm
2025-08-26T20:08:14.4864307Z  * [new branch]              adi/testpresve_change       -> origin/adi/testpresve_change
2025-08-26T20:08:14.4865327Z  * [new branch]              aditew01/test/vec_bf16      -> origin/aditew01/test/vec_bf16
2025-08-26T20:08:14.4865889Z  * [new branch]              ah-globalfeedback-hook      -> origin/ah-globalfeedback-hook
2025-08-26T20:08:14.4866761Z  * [new branch]              alt-disable                 -> origin/alt-disable
2025-08-26T20:08:14.4867762Z  * [new branch]              angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files
2025-08-26T20:08:14.4868310Z  * [new branch]              angelayi/aoti_inductor_fx   -> origin/angelayi/aoti_inductor_fx
2025-08-26T20:08:14.4868963Z  * [new branch]              angelayi/assert_tensor_metadata_device -> origin/angelayi/assert_tensor_metadata_device
2025-08-26T20:08:14.4869468Z  * [new branch]              angelayi/benchmark          -> origin/angelayi/benchmark
2025-08-26T20:08:14.4870324Z  * [new branch]              angelayi/benchmark2         -> origin/angelayi/benchmark2
2025-08-26T20:08:14.4871119Z  * [new branch]              angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization
2025-08-26T20:08:14.4871684Z  * [new branch]              angelayi/cpp_loader         -> origin/angelayi/cpp_loader
2025-08-26T20:08:14.4872561Z  * [new branch]              angelayi/custom_op_subgraph -> origin/angelayi/custom_op_subgraph
2025-08-26T20:08:14.4873006Z  * [new branch]              angelayi/customop           -> origin/angelayi/customop
2025-08-26T20:08:14.4873618Z  * [new branch]              angelayi/is_symbolic_tracing -> origin/angelayi/is_symbolic_tracing
2025-08-26T20:08:14.4874402Z  * [new branch]              angelayi/logging.bak        -> origin/angelayi/logging.bak
2025-08-26T20:08:14.4874870Z  * [new branch]              angelayi/logging2           -> origin/angelayi/logging2
2025-08-26T20:08:14.4875733Z  * [new branch]              angelayi/no_so_weight       -> origin/angelayi/no_so_weight
2025-08-26T20:08:14.4876061Z  * [new branch]              angelayi/opoverload         -> origin/angelayi/opoverload
2025-08-26T20:08:14.4876556Z  * [new branch]              angelayi/pytree             -> origin/angelayi/pytree
2025-08-26T20:08:14.4877141Z  * [new branch]              angelayi/save_error         -> origin/angelayi/save_error
2025-08-26T20:08:14.4880260Z  * [new branch]              angelayi/scan_layers        -> origin/angelayi/scan_layers
2025-08-26T20:08:14.4880587Z  * [new branch]              angelayi/symint_input       -> origin/angelayi/symint_input
2025-08-26T20:08:14.4880933Z  * [new branch]              angelayi/tensor_nn_module_meta -> origin/angelayi/tensor_nn_module_meta
2025-08-26T20:08:14.4881263Z  * [new branch]              angelayi/test_cpp           -> origin/angelayi/test_cpp
2025-08-26T20:08:14.4881566Z  * [new branch]              angelayi/torch_size         -> origin/angelayi/torch_size
2025-08-26T20:08:14.4881876Z  * [new branch]              aoti-cuda-alloc             -> origin/aoti-cuda-alloc
2025-08-26T20:08:14.4882173Z  * [new branch]              aoti_weight_sharing         -> origin/aoti_weight_sharing
2025-08-26T20:08:14.4882497Z  * [new branch]              arsh/symint_mm_ind_decomp   -> origin/arsh/symint_mm_ind_decomp
2025-08-26T20:08:14.4882908Z  * [new branch]              atalman-inductor-perf-cu124 -> origin/atalman-inductor-perf-cu124
2025-08-26T20:08:14.4883449Z  * [new branch]              atalman-inductor-perf-cu124.1 -> origin/atalman-inductor-perf-cu124.1
2025-08-26T20:08:14.4884079Z  * [new branch]              atalman-patch-1             -> origin/atalman-patch-1
2025-08-26T20:08:14.4884804Z  * [new branch]              atalman-patch-2             -> origin/atalman-patch-2
2025-08-26T20:08:14.4885384Z  * [new branch]              atalman-patch-3             -> origin/atalman-patch-3
2025-08-26T20:08:14.4886001Z  * [new branch]              atalman-patch-4             -> origin/atalman-patch-4
2025-08-26T20:08:14.4886728Z  * [new branch]              atalman_inductor_2.3.0      -> origin/atalman_inductor_2.3.0
2025-08-26T20:08:14.4887221Z  * [new branch]              atalman_inductor_2.3.1      -> origin/atalman_inductor_2.3.1
2025-08-26T20:08:14.4887859Z  * [new branch]              atalman_inductor_2.4.0      -> origin/atalman_inductor_2.4.0
2025-08-26T20:08:14.4888769Z  * [new branch]              atalman_inductor_2.4.x      -> origin/atalman_inductor_2.4.x
2025-08-26T20:08:14.4889330Z  * [new branch]              autoupdate-transformers-pin-via-pr -> origin/autoupdate-transformers-pin-via-pr
2025-08-26T20:08:14.4889795Z  * [new branch]              backupvllm                  -> origin/backupvllm
2025-08-26T20:08:14.4890771Z  * [new branch]              bahuang/test                -> origin/bahuang/test
2025-08-26T20:08:14.4891718Z  * [new branch]              base/1.5                    -> origin/base/1.5
2025-08-26T20:08:14.4892371Z  * [new branch]              batching_sdpa_efficient_attention -> origin/batching_sdpa_efficient_attention
2025-08-26T20:08:14.4892927Z  * [new branch]              bc-lint-config              -> origin/bc-lint-config
2025-08-26T20:08:14.4893525Z  * [new branch]              bc-lint-test-new-config     -> origin/bc-lint-test-new-config
2025-08-26T20:08:14.4894110Z  * [new branch]              benchmark-updates           -> origin/benchmark-updates
2025-08-26T20:08:14.4894743Z  * [new branch]              benchmarker_compat_with_do_bench -> origin/benchmarker_compat_with_do_bench
2025-08-26T20:08:14.4895292Z  * [new branch]              benchmarking-script         -> origin/benchmarking-script
2025-08-26T20:08:14.4896252Z  * [new branch]              bertmaher/pinbump26         -> origin/bertmaher/pinbump26
2025-08-26T20:08:14.4897133Z  * [new branch]              bertrand/cutlass            -> origin/bertrand/cutlass
2025-08-26T20:08:14.4897923Z  * [new branch]              bf/cg-log                   -> origin/bf/cg-log
2025-08-26T20:08:14.4898472Z  * [new branch]              bf/cg-remove-check          -> origin/bf/cg-remove-check
2025-08-26T20:08:14.4899102Z  * [new branch]              bf/cg-skip-1-kernel         -> origin/bf/cg-skip-1-kernel
2025-08-26T20:08:14.4899619Z  * [new branch]              bf/cudagraph                -> origin/bf/cudagraph
2025-08-26T20:08:14.4900220Z  * [new branch]              bf/cudagraph-disable-input-mutation -> origin/bf/cudagraph-disable-input-mutation
2025-08-26T20:08:14.4901214Z  * [new branch]              bf/cudagraph-enable-input-mutation-support-benchmark -> origin/bf/cudagraph-enable-input-mutation-support-benchmark
2025-08-26T20:08:14.4901793Z  * [new branch]              bf/cudagraph-partition      -> origin/bf/cudagraph-partition
2025-08-26T20:08:14.4902389Z  * [new branch]              bf/default-recompile-reason -> origin/bf/default-recompile-reason
2025-08-26T20:08:14.4902907Z  * [new branch]              bf/donated-buffer-bench     -> origin/bf/donated-buffer-bench
2025-08-26T20:08:14.4903494Z  * [new branch]              bf/pa-non-divisible         -> origin/bf/pa-non-divisible
2025-08-26T20:08:14.4904033Z  * [new branch]              bf/partition-doc            -> origin/bf/partition-doc
2025-08-26T20:08:14.4904644Z  * [new branch]              bf/partition-move-cpu       -> origin/bf/partition-move-cpu
2025-08-26T20:08:14.4905224Z  * [new branch]              bf/partition-turn-on        -> origin/bf/partition-turn-on
2025-08-26T20:08:14.4905769Z  * [new branch]              bf/remove-check-55b0c39d    -> origin/bf/remove-check-55b0c39d
2025-08-26T20:08:14.4906261Z  * [new branch]              bf/rope                     -> origin/bf/rope
2025-08-26T20:08:14.4906805Z  * [new branch]              bf/skip-asserts             -> origin/bf/skip-asserts
2025-08-26T20:08:14.4907402Z  * [new branch]              bf16adamw                   -> origin/bf16adamw
2025-08-26T20:08:14.4908286Z  * [new branch]              bisect_perf_hf_T5_3acc6eac492 -> origin/bisect_perf_hf_T5_3acc6eac492
2025-08-26T20:08:14.4908777Z  * [new branch]              bisect_perf_hf_T5_3fcf66f61fb -> origin/bisect_perf_hf_T5_3fcf66f61fb
2025-08-26T20:08:14.4909295Z  * [new branch]              bisect_perf_hf_T5_4009d154129 -> origin/bisect_perf_hf_T5_4009d154129
2025-08-26T20:08:14.4909797Z  * [new branch]              bisect_perf_hf_T5_40d0740e73d -> origin/bisect_perf_hf_T5_40d0740e73d
2025-08-26T20:08:14.4910297Z  * [new branch]              bisect_perf_hf_T5_5268754e  -> origin/bisect_perf_hf_T5_5268754e
2025-08-26T20:08:14.4910808Z  * [new branch]              bisect_perf_hf_T5_7d89a8d385c -> origin/bisect_perf_hf_T5_7d89a8d385c
2025-08-26T20:08:14.4911323Z  * [new branch]              bisect_perf_hf_T5_b7a25c1ee7c -> origin/bisect_perf_hf_T5_b7a25c1ee7c
2025-08-26T20:08:14.4911854Z  * [new branch]              bisect_perf_hf_T5_c25b201583f -> origin/bisect_perf_hf_T5_c25b201583f
2025-08-26T20:08:14.4912399Z  * [new branch]              bisect_perf_hf_T5_c93e57efac0 -> origin/bisect_perf_hf_T5_c93e57efac0
2025-08-26T20:08:14.4912928Z  * [new branch]              bisect_perf_hf_T5_ca9813ea149 -> origin/bisect_perf_hf_T5_ca9813ea149
2025-08-26T20:08:14.4913426Z  * [new branch]              bisect_perf_hf_T5_d65f194a  -> origin/bisect_perf_hf_T5_d65f194a
2025-08-26T20:08:14.4913922Z  * [new branch]              bisect_perf_hf_T5_da94ab0b  -> origin/bisect_perf_hf_T5_da94ab0b
2025-08-26T20:08:14.4914484Z  * [new branch]              bisect_perf_hf_T5_da94ab0b_new -> origin/bisect_perf_hf_T5_da94ab0b_new
2025-08-26T20:08:14.4914978Z  * [new branch]              bisect_perf_hf_T5_db4e8a1d8a8 -> origin/bisect_perf_hf_T5_db4e8a1d8a8
2025-08-26T20:08:14.4915743Z  * [new branch]              bisect_perf_hf_T5_e0d97e936a2 -> origin/bisect_perf_hf_T5_e0d97e936a2
2025-08-26T20:08:14.4916213Z  * [new branch]              bisect_perf_hf_T5_f23621ec563 -> origin/bisect_perf_hf_T5_f23621ec563
2025-08-26T20:08:14.4917211Z  * [new branch]              bowbao/bench_updates_stage  -> origin/bowbao/bench_updates_stage
2025-08-26T20:08:14.4917790Z  * [new branch]              bowbao/dort_rewriter        -> origin/bowbao/dort_rewriter
2025-08-26T20:08:14.4918204Z  * [new branch]              bowbao/wip_prs              -> origin/bowbao/wip_prs
2025-08-26T20:08:14.4919203Z  * [new branch]              bowenbao/partial_min_max_reduce -> origin/bowenbao/partial_min_max_reduce
2025-08-26T20:08:14.4920077Z  * [new branch]              brister/always_wrapper_ir   -> origin/brister/always_wrapper_ir
2025-08-26T20:08:14.4920548Z  * [new branch]              brister/break_tensorbox     -> origin/brister/break_tensorbox
2025-08-26T20:08:14.4921094Z  * [new branch]              brister/flatten_contig      -> origin/brister/flatten_contig
2025-08-26T20:08:14.4921741Z  * [new branch]              brister/fx_custom_triton    -> origin/brister/fx_custom_triton
2025-08-26T20:08:14.4922286Z  * [new branch]              brister/tensor_box_output   -> origin/brister/tensor_box_output
2025-08-26T20:08:14.4922888Z  * [new branch]              brister/test_block_ptr_same -> origin/brister/test_block_ptr_same
2025-08-26T20:08:14.4923692Z  * [new branch]              brister/tiled_reduction_no_numel_check -> origin/brister/tiled_reduction_no_numel_check
2025-08-26T20:08:14.4924266Z  * [new branch]              c57382a49                   -> origin/c57382a49
2025-08-26T20:08:14.4924829Z  * [new branch]              ca_0431d47eaa               -> origin/ca_0431d47eaa
2025-08-26T20:08:14.4925611Z  * [new branch]              ca_fix_0431d47eaa           -> origin/ca_fix_0431d47eaa
2025-08-26T20:08:14.4926820Z  * [new branch]              camyll/revert-94bc900da97ad7f3c35b3b819bb53b23c74b581a-for-release-2.8 -> origin/camyll/revert-94bc900da97ad7f3c35b3b819bb53b23c74b581a-for-release-2.8
2025-08-26T20:08:14.4927437Z  * [new branch]              camyllh/test_setup_hooks_push -> origin/camyllh/test_setup_hooks_push
2025-08-26T20:08:14.4928153Z  * [new branch]              cherry-pick-149654-by-pytorch_bot_bot_ -> origin/cherry-pick-149654-by-pytorch_bot_bot_
2025-08-26T20:08:14.4928714Z  * [new branch]              cherry-pick-151939-by-pytorch_bot_bot_ -> origin/cherry-pick-151939-by-pytorch_bot_bot_
2025-08-26T20:08:14.4929258Z  * [new branch]              cherry-pick-154174-by-pytorch_bot_bot_ -> origin/cherry-pick-154174-by-pytorch_bot_bot_
2025-08-26T20:08:14.4930002Z  * [new branch]              cherry-pick-155896-by-pytorch_bot_bot_ -> origin/cherry-pick-155896-by-pytorch_bot_bot_
2025-08-26T20:08:14.4930632Z  * [new branch]              cherry-pick-156260-by-pytorch_bot_bot_ -> origin/cherry-pick-156260-by-pytorch_bot_bot_
2025-08-26T20:08:14.4931215Z  * [new branch]              cherry-pick-156719-by-pytorch_bot_bot_ -> origin/cherry-pick-156719-by-pytorch_bot_bot_
2025-08-26T20:08:14.4931865Z  * [new branch]              cherry-pick-156888-by-pytorch_bot_bot_ -> origin/cherry-pick-156888-by-pytorch_bot_bot_
2025-08-26T20:08:14.4932483Z  * [new branch]              cherry-pick-157453-by-pytorch_bot_bot_ -> origin/cherry-pick-157453-by-pytorch_bot_bot_
2025-08-26T20:08:14.4933184Z  * [new branch]              cherry-pick-157513-by-pytorch_bot_bot_ -> origin/cherry-pick-157513-by-pytorch_bot_bot_
2025-08-26T20:08:14.4933748Z  * [new branch]              cherry-pick-157558-by-pytorch_bot_bot_ -> origin/cherry-pick-157558-by-pytorch_bot_bot_
2025-08-26T20:08:14.4934285Z  * [new branch]              cherry-pick-157598-by-pytorch_bot_bot_ -> origin/cherry-pick-157598-by-pytorch_bot_bot_
2025-08-26T20:08:14.4934875Z  * [new branch]              cherry-pick-157630-by-pytorch_bot_bot_ -> origin/cherry-pick-157630-by-pytorch_bot_bot_
2025-08-26T20:08:14.4935597Z  * [new branch]              cherry-pick-157695-by-pytorch_bot_bot_ -> origin/cherry-pick-157695-by-pytorch_bot_bot_
2025-08-26T20:08:14.4936161Z  * [new branch]              cherry-pick-157732-by-pytorch_bot_bot_ -> origin/cherry-pick-157732-by-pytorch_bot_bot_
2025-08-26T20:08:14.4936808Z  * [new branch]              cherry-pick-157733-by-pytorch_bot_bot_ -> origin/cherry-pick-157733-by-pytorch_bot_bot_
2025-08-26T20:08:14.4937422Z  * [new branch]              cherry-pick-157985-by-pytorch_bot_bot_ -> origin/cherry-pick-157985-by-pytorch_bot_bot_
2025-08-26T20:08:14.4937985Z  * [new branch]              cherry-pick-157993-by-pytorch_bot_bot_ -> origin/cherry-pick-157993-by-pytorch_bot_bot_
2025-08-26T20:08:14.4938756Z  * [new branch]              cherry-pick-158064-by-pytorch_bot_bot_ -> origin/cherry-pick-158064-by-pytorch_bot_bot_
2025-08-26T20:08:14.4939308Z  * [new branch]              cherry-pick-158152-by-pytorch_bot_bot_ -> origin/cherry-pick-158152-by-pytorch_bot_bot_
2025-08-26T20:08:14.4939958Z  * [new branch]              cherry-pick-158301-by-pytorch_bot_bot_ -> origin/cherry-pick-158301-by-pytorch_bot_bot_
2025-08-26T20:08:14.4940554Z  * [new branch]              cherry-pick-158537-by-pytorch_bot_bot_ -> origin/cherry-pick-158537-by-pytorch_bot_bot_
2025-08-26T20:08:14.4941109Z  * [new branch]              cherry-pick-159181-by-pytorch_bot_bot_ -> origin/cherry-pick-159181-by-pytorch_bot_bot_
2025-08-26T20:08:14.4941696Z  * [new branch]              cherry-pick-159969-by-pytorch_bot_bot_ -> origin/cherry-pick-159969-by-pytorch_bot_bot_
2025-08-26T20:08:14.4942273Z  * [new branch]              cherry-pick-160586-by-pytorch_bot_bot_ -> origin/cherry-pick-160586-by-pytorch_bot_bot_
2025-08-26T20:08:14.4942944Z  * [new branch]              cherrypick-e4e2701429c17078c3c475382a8b1fa4c8a8cefc -> origin/cherrypick-e4e2701429c17078c3c475382a8b1fa4c8a8cefc
2025-08-26T20:08:14.4943760Z  * [new branch]              chilli/flex_vllm            -> origin/chilli/flex_vllm
2025-08-26T20:08:14.4944270Z  * [new branch]              cleantest1                  -> origin/cleantest1
2025-08-26T20:08:14.4945132Z  * [new branch]              cleanup-inductor-benchmark-images -> origin/cleanup-inductor-benchmark-images
2025-08-26T20:08:14.4945610Z  * [new branch]              codex-testing               -> origin/codex-testing
2025-08-26T20:08:14.4946624Z  * [new branch]              codex/add-metadata-field-for-file-path -> origin/codex/add-metadata-field-for-file-path
2025-08-26T20:08:14.4947208Z  * [new branch]              codex/add-test-for-inductor-local-cache-behavior -> origin/codex/add-test-for-inductor-local-cache-behavior
2025-08-26T20:08:14.4948028Z  * [new branch]              codex/create-test-for-tensor-memory-leak-in-cudagraph -> origin/codex/create-test-for-tensor-memory-leak-in-cudagraph
2025-08-26T20:08:14.4948596Z  * [new branch]              codex/fix-issue-121219-in-pytorch -> origin/codex/fix-issue-121219-in-pytorch
2025-08-26T20:08:14.4949415Z  * [new branch]              codex/fix-issue-160415-in-pytorch -> origin/codex/fix-issue-160415-in-pytorch
2025-08-26T20:08:14.4949968Z  * [new branch]              codex/fix-noqengine-quantized-engine-support -> origin/codex/fix-noqengine-quantized-engine-support
2025-08-26T20:08:14.4950463Z  * [new branch]              codex/fix-pin_memory-error-handling -> origin/codex/fix-pin_memory-error-handling
2025-08-26T20:08:14.4951053Z  * [new branch]              codex/propose-fix-for-issue-160332 -> origin/codex/propose-fix-for-issue-160332
2025-08-26T20:08:14.4951673Z  * [new branch]              codex/refactor-lintrunner-config-to-use-uv-run -> origin/codex/refactor-lintrunner-config-to-use-uv-run
2025-08-26T20:08:14.4952275Z  * [new branch]              codex/remove-allow-untyped-defs-and-fix-type-errors -> origin/codex/remove-allow-untyped-defs-and-fix-type-errors
2025-08-26T20:08:14.4952845Z  * [new branch]              codex/verify-torch-output-and-log-results -> origin/codex/verify-torch-output-and-log-results
2025-08-26T20:08:14.4953311Z  * [new branch]              compile_fsdp2_disable_stream_and_event -> origin/compile_fsdp2_disable_stream_and_event
2025-08-26T20:08:14.4953727Z  * [new branch]              context_test                -> origin/context_test
2025-08-26T20:08:14.4954807Z  * [new branch]              copilot/fix-157446          -> origin/copilot/fix-157446
2025-08-26T20:08:14.4955340Z  * [new branch]              copilot/fix-159257          -> origin/copilot/fix-159257
2025-08-26T20:08:14.4955935Z  * [new branch]              copy_graph                  -> origin/copy_graph
2025-08-26T20:08:14.4956846Z  * [new branch]              cpio/fix_new_ami_tests      -> origin/cpio/fix_new_ami_tests
2025-08-26T20:08:14.4957711Z  * [new branch]              csl/always_produce_xml      -> origin/csl/always_produce_xml
2025-08-26T20:08:14.4958332Z  * [new branch]              csl/build_test_more_procs   -> origin/csl/build_test_more_procs
2025-08-26T20:08:14.4958835Z  * [new branch]              csl/build_test_more_procs2  -> origin/csl/build_test_more_procs2
2025-08-26T20:08:14.4959397Z  * [new branch]              csl/disable_flaky_cpp_test  -> origin/csl/disable_flaky_cpp_test
2025-08-26T20:08:14.4959903Z  * [new branch]              csl/disable_periodic_test   -> origin/csl/disable_periodic_test
2025-08-26T20:08:14.4960664Z  * [new branch]              csl/executorch_docker_fail  -> origin/csl/executorch_docker_fail
2025-08-26T20:08:14.4961417Z  * [new branch]              csl/fix_check_alerts        -> origin/csl/fix_check_alerts
2025-08-26T20:08:14.4961908Z  * [new branch]              csl/katex                   -> origin/csl/katex
2025-08-26T20:08:14.4962431Z  * [new branch]              csl/larger_runner           -> origin/csl/larger_runner
2025-08-26T20:08:14.4962960Z  * [new branch]              csl/lintrunner_stuff        -> origin/csl/lintrunner_stuff
2025-08-26T20:08:14.4963690Z  * [new branch]              csl/mps_sharding            -> origin/csl/mps_sharding
2025-08-26T20:08:14.4964197Z  * [new branch]              csl/multistage_docker       -> origin/csl/multistage_docker
2025-08-26T20:08:14.4964713Z  * [new branch]              csl/name_link_check_job     -> origin/csl/name_link_check_job
2025-08-26T20:08:14.4965246Z  * [new branch]              csl/no_keep_goin_rocm       -> origin/csl/no_keep_goin_rocm
2025-08-26T20:08:14.4965849Z  * [new branch]              csl/not_600_timeout         -> origin/csl/not_600_timeout
2025-08-26T20:08:14.4966714Z  * [new branch]              csl/remove_unused_docker_images -> origin/csl/remove_unused_docker_images
2025-08-26T20:08:14.4967087Z  * [new branch]              csl/revert_open             -> origin/csl/revert_open
2025-08-26T20:08:14.4967555Z  * [new branch]              csl/skip_build              -> origin/csl/skip_build
2025-08-26T20:08:14.4968226Z  * [new branch]              csl/test_cuda_build_large_runner -> origin/csl/test_cuda_build_large_runner
2025-08-26T20:08:14.4968791Z  * [new branch]              csl/unused_docker           -> origin/csl/unused_docker
2025-08-26T20:08:14.4969143Z  * [new branch]              csl/win_sccache             -> origin/csl/win_sccache
2025-08-26T20:08:14.4969733Z  * [new branch]              cublasltrelax2              -> origin/cublasltrelax2
2025-08-26T20:08:14.4970255Z  * [new branch]              cublasrelax2                -> origin/cublasrelax2
2025-08-26T20:08:14.4970786Z  * [new branch]              cudnnsdparefactor           -> origin/cudnnsdparefactor
2025-08-26T20:08:14.4971367Z  * [new branch]              custom_lowering_dict        -> origin/custom_lowering_dict
2025-08-26T20:08:14.4972159Z  * [new branch]              czhuge_muon_dev             -> origin/czhuge_muon_dev
2025-08-26T20:08:14.4973011Z  * [new branch]              d4l3k/delete_hook           -> origin/d4l3k/delete_hook
2025-08-26T20:08:14.4973477Z  * [new branch]              dcp_zoc                     -> origin/dcp_zoc
2025-08-26T20:08:14.4974073Z  * [new branch]              delete-quant-docs           -> origin/delete-quant-docs
2025-08-26T20:08:14.4976349Z  * [new branch]              dependabot/pip/dot-ci/docker/ci_commit_pins/main/transformers-4.55.2 -> origin/dependabot/pip/dot-ci/docker/ci_commit_pins/main/transformers-4.55.2
2025-08-26T20:08:14.4977169Z  * [new branch]              dependabot/pip/dot-ci/docker/ci_commit_pins/main/transformers-4.55.3 -> origin/dependabot/pip/dot-ci/docker/ci_commit_pins/main/transformers-4.55.3
2025-08-26T20:08:14.4977980Z  * [new branch]              dependabot/pip/dot-ci/docker/ci_commit_pins/main/transformers-4.55.4 -> origin/dependabot/pip/dot-ci/docker/ci_commit_pins/main/transformers-4.55.4
2025-08-26T20:08:14.4978577Z  * [new branch]              dependabot/pip/dot-ci/docker/protobuf-5.29.5 -> origin/dependabot/pip/dot-ci/docker/protobuf-5.29.5
2025-08-26T20:08:14.4979562Z  * [new branch]              dependabot/pip/dot-github/requirements/protobuf-5.29.5 -> origin/dependabot/pip/dot-github/requirements/protobuf-5.29.5
2025-08-26T20:08:14.4980145Z  * [new branch]              desertfire/test_cpp_wrapper -> origin/desertfire/test_cpp_wrapper
2025-08-26T20:08:14.4980751Z  * [new branch]              desertfire/triton-cpu-for-aarch64 -> origin/desertfire/triton-cpu-for-aarch64
2025-08-26T20:08:14.4982081Z  * [new branch]              dev/joona/MPSNDArrayAdd     -> origin/dev/joona/MPSNDArrayAdd
2025-08-26T20:08:14.4982710Z  * [new branch]              dev/joona/Unranked          -> origin/dev/joona/Unranked
2025-08-26T20:08:14.4983611Z  * [new branch]              dev/joona/cat               -> origin/dev/joona/cat
2025-08-26T20:08:14.4984385Z  * [new branch]              dev/joona/cat_remove_graph  -> origin/dev/joona/cat_remove_graph
2025-08-26T20:08:14.4984992Z  * [new branch]              dev/joona/embeddingbag      -> origin/dev/joona/embeddingbag
2025-08-26T20:08:14.4985865Z  * [new branch]              dev/joona/getTensorsString  -> origin/dev/joona/getTensorsString
2025-08-26T20:08:14.4986793Z  * [new branch]              dev/joona/maxpool2dwithindices_errmsg -> origin/dev/joona/maxpool2dwithindices_errmsg
2025-08-26T20:08:14.4987626Z  * [new branch]              dev/joona/mps_linear_macos14 -> origin/dev/joona/mps_linear_macos14
2025-08-26T20:08:14.4988498Z  * [new branch]              dev/joona/sdpa              -> origin/dev/joona/sdpa
2025-08-26T20:08:14.4989290Z  * [new branch]              dev/joona/synchronize_benchmark -> origin/dev/joona/synchronize_benchmark
2025-08-26T20:08:14.4989914Z  * [new branch]              dev/joona/topk_newapi       -> origin/dev/joona/topk_newapi
2025-08-26T20:08:14.4990668Z  * [new branch]              dev/joona/type_inf          -> origin/dev/joona/type_inf
2025-08-26T20:08:14.4991284Z  * [new branch]              dev/joona/upsize3d          -> origin/dev/joona/upsize3d
2025-08-26T20:08:14.4991891Z  * [new branch]              disable                     -> origin/disable
2025-08-26T20:08:14.4992442Z  * [new branch]              e2e-baseline                -> origin/e2e-baseline
2025-08-26T20:08:14.4993051Z  * [new branch]              eigen_for_sparse_addmm_v2   -> origin/eigen_for_sparse_addmm_v2
2025-08-26T20:08:14.4993956Z  * [new branch]              embg/test_inductor_ci_128B  -> origin/embg/test_inductor_ci_128B
2025-08-26T20:08:14.4994447Z  * [new branch]              embg/test_inductor_ci_base  -> origin/embg/test_inductor_ci_base
2025-08-26T20:08:14.4995086Z  * [new branch]              embg/test_inductor_ci_control -> origin/embg/test_inductor_ci_control
2025-08-26T20:08:14.4995697Z  * [new branch]              embg/triton_l2_prefetch_128B -> origin/embg/triton_l2_prefetch_128B
2025-08-26T20:08:14.4996300Z  * [new branch]              embg/triton_l2_prefetch_256B -> origin/embg/triton_l2_prefetch_256B
2025-08-26T20:08:14.4996894Z  * [new branch]              enable-b200-benchmark       -> origin/enable-b200-benchmark
2025-08-26T20:08:14.4997457Z  * [new branch]              eqy-patch-1                 -> origin/eqy-patch-1
2025-08-26T20:08:14.4997997Z  * [new branch]              eqy-patch-2                 -> origin/eqy-patch-2
2025-08-26T20:08:14.4998537Z  * [new branch]              eqy-patch-3                 -> origin/eqy-patch-3
2025-08-26T20:08:14.4999075Z  * [new branch]              eqy-patch-4                 -> origin/eqy-patch-4
2025-08-26T20:08:14.4999628Z  * [new branch]              example-convert-torch.nn    -> origin/example-convert-torch.nn
2025-08-26T20:08:14.5000495Z  * [new branch]              exclamaforte/amd-ma         -> origin/exclamaforte/amd-ma
2025-08-26T20:08:14.5001066Z  * [new branch]              exclamaforte/bump-transformer-version -> origin/exclamaforte/bump-transformer-version
2025-08-26T20:08:14.5001530Z  * [new branch]              exclamaforte/clear-feedback-savers -> origin/exclamaforte/clear-feedback-savers
2025-08-26T20:08:14.5002060Z  * [new branch]              exclamaforte/combo-kernels-perf-run -> origin/exclamaforte/combo-kernels-perf-run
2025-08-26T20:08:14.5002578Z  * [new branch]              exclamaforte/debug-autotuner-profile -> origin/exclamaforte/debug-autotuner-profile
2025-08-26T20:08:14.5003273Z  * [new branch]              exclamaforte/do_bench_refactor -> origin/exclamaforte/do_bench_refactor
2025-08-26T20:08:14.5004156Z  * [new branch]              exclamaforte/enable-mem-dep-fusion -> origin/exclamaforte/enable-mem-dep-fusion
2025-08-26T20:08:14.5004806Z  * [new branch]              exclamaforte/fix-exhaustive-autotuning -> origin/exclamaforte/fix-exhaustive-autotuning
2025-08-26T20:08:14.5005405Z  * [new branch]              exclamaforte/fix-trace-parsing-fx-svg -> origin/exclamaforte/fix-trace-parsing-fx-svg
2025-08-26T20:08:14.5005957Z  * [new branch]              exclamaforte/force-pointwise-cat-perf-run -> origin/exclamaforte/force-pointwise-cat-perf-run
2025-08-26T20:08:14.5006396Z  * [new branch]              exclamaforte/fusion-data    -> origin/exclamaforte/fusion-data
2025-08-26T20:08:14.5007032Z  * [new branch]              exclamaforte/gemm-benchmark-run -> origin/exclamaforte/gemm-benchmark-run
2025-08-26T20:08:14.5007539Z  * [new branch]              exclamaforte/gemm-export-model -> origin/exclamaforte/gemm-export-model
2025-08-26T20:08:14.5008032Z  * [new branch]              exclamaforte/gemm-model     -> origin/exclamaforte/gemm-model
2025-08-26T20:08:14.5008727Z  * [new branch]              exclamaforte/gemm-model-all-data-collection -> origin/exclamaforte/gemm-model-all-data-collection
2025-08-26T20:08:14.5009164Z  * [new branch]              exclamaforte/gemm-to-amd    -> origin/exclamaforte/gemm-to-amd
2025-08-26T20:08:14.5009749Z  * [new branch]              exclamaforte/just-gemm-model -> origin/exclamaforte/just-gemm-model
2025-08-26T20:08:14.5010350Z  * [new branch]              exclamaforte/just-gemm-model-no-refactor -> origin/exclamaforte/just-gemm-model-no-refactor
2025-08-26T20:08:14.5010831Z  * [new branch]              exclamaforte/memory-counter -> origin/exclamaforte/memory-counter
2025-08-26T20:08:14.5011391Z  * [new branch]              exclamaforte/profiler-combo -> origin/exclamaforte/profiler-combo
2025-08-26T20:08:14.5011961Z  * [new branch]              exclamaforte/test_cpp_wrapper_mode -> origin/exclamaforte/test_cpp_wrapper_mode
2025-08-26T20:08:14.5012614Z  * [new branch]              exclamaforte/update-autotune-configs -> origin/exclamaforte/update-autotune-configs
2025-08-26T20:08:14.5013179Z  * [new branch]              exclamaforte/update-autotune-configs-2 -> origin/exclamaforte/update-autotune-configs-2
2025-08-26T20:08:14.5014121Z  * [new branch]              exclamforte/gemm-model-final -> origin/exclamforte/gemm-model-final
2025-08-26T20:08:14.5014586Z  * [new branch]              exec                        -> origin/exec
2025-08-26T20:08:14.5015303Z  * [new branch]              experimental-mosaic         -> origin/experimental-mosaic
2025-08-26T20:08:14.5015838Z  * [new branch]              export-D58091437            -> origin/export-D58091437
2025-08-26T20:08:14.5016440Z  * [new branch]              export-D61047529            -> origin/export-D61047529
2025-08-26T20:08:14.5017025Z  * [new branch]              export-D70112642            -> origin/export-D70112642
2025-08-26T20:08:14.5017626Z  * [new branch]              export-D71412006            -> origin/export-D71412006
2025-08-26T20:08:14.5018215Z  * [new branch]              export-D72483950            -> origin/export-D72483950
2025-08-26T20:08:14.5018958Z  * [new branch]              export-D73042989            -> origin/export-D73042989
2025-08-26T20:08:14.5019503Z  * [new branch]              export-D75183591            -> origin/export-D75183591
2025-08-26T20:08:14.5020133Z  * [new branch]              export-D75605373            -> origin/export-D75605373
2025-08-26T20:08:14.5020718Z  * [new branch]              export-D75617432            -> origin/export-D75617432
2025-08-26T20:08:14.5021258Z  * [new branch]              export-D75659965            -> origin/export-D75659965
2025-08-26T20:08:14.5021969Z  * [new branch]              export-D76080931            -> origin/export-D76080931
2025-08-26T20:08:14.5022505Z  * [new branch]              export-D76463347            -> origin/export-D76463347
2025-08-26T20:08:14.5023087Z  * [new branch]              export-D76797250            -> origin/export-D76797250
2025-08-26T20:08:14.5024110Z  * [new branch]              export-D76885271            -> origin/export-D76885271
2025-08-26T20:08:14.5024573Z  * [new branch]              export-D76885620            -> origin/export-D76885620
2025-08-26T20:08:14.5025140Z  * [new branch]              export-D76936623            -> origin/export-D76936623
2025-08-26T20:08:14.5025672Z  * [new branch]              export-D76958268            -> origin/export-D76958268
2025-08-26T20:08:14.5026231Z  * [new branch]              export-D78308105            -> origin/export-D78308105
2025-08-26T20:08:14.5026753Z  * [new branch]              export-D78375400            -> origin/export-D78375400
2025-08-26T20:08:14.5027347Z  * [new branch]              export-D78431305            -> origin/export-D78431305
2025-08-26T20:08:14.5027956Z  * [new branch]              export-D78580107            -> origin/export-D78580107
2025-08-26T20:08:14.5028487Z  * [new branch]              export-D78822171            -> origin/export-D78822171
2025-08-26T20:08:14.5029060Z  * [new branch]              export-D78822351            -> origin/export-D78822351
2025-08-26T20:08:14.5029561Z  * [new branch]              export-D78822507            -> origin/export-D78822507
2025-08-26T20:08:14.5030080Z  * [new branch]              export-D78826994            -> origin/export-D78826994
2025-08-26T20:08:14.5030739Z  * [new branch]              export-D78894142            -> origin/export-D78894142
2025-08-26T20:08:14.5031236Z  * [new branch]              export-D78894324            -> origin/export-D78894324
2025-08-26T20:08:14.5031770Z  * [new branch]              export-D78929245            -> origin/export-D78929245
2025-08-26T20:08:14.5032307Z  * [new branch]              export-D78934925            -> origin/export-D78934925
2025-08-26T20:08:14.5032882Z  * [new branch]              export-D78953203            -> origin/export-D78953203
2025-08-26T20:08:14.5033381Z  * [new branch]              export-D78953229            -> origin/export-D78953229
2025-08-26T20:08:14.5033877Z  * [new branch]              export-D78957093            -> origin/export-D78957093
2025-08-26T20:08:14.5034339Z  * [new branch]              export-D78957389            -> origin/export-D78957389
2025-08-26T20:08:14.5034924Z  * [new branch]              export-D78979812            -> origin/export-D78979812
2025-08-26T20:08:14.5035502Z  * [new branch]              export-D78996107            -> origin/export-D78996107
2025-08-26T20:08:14.5036041Z  * [new branch]              export-D79026433            -> origin/export-D79026433
2025-08-26T20:08:14.5036621Z  * [new branch]              export-D79230339            -> origin/export-D79230339
2025-08-26T20:08:14.5037163Z  * [new branch]              export-D79319835            -> origin/export-D79319835
2025-08-26T20:08:14.5037662Z  * [new branch]              export-D79328456            -> origin/export-D79328456
2025-08-26T20:08:14.5038219Z  * [new branch]              export-D79534608            -> origin/export-D79534608
2025-08-26T20:08:14.5038941Z  * [new branch]              export-D79647167            -> origin/export-D79647167
2025-08-26T20:08:14.5039481Z  * [new branch]              export-D79751098            -> origin/export-D79751098
2025-08-26T20:08:14.5040281Z  * [new branch]              export-D79785974            -> origin/export-D79785974
2025-08-26T20:08:14.5040837Z  * [new branch]              export-D80025417            -> origin/export-D80025417
2025-08-26T20:08:14.5041386Z  * [new branch]              export-D80120333            -> origin/export-D80120333
2025-08-26T20:08:14.5042401Z  * [new branch]              export-D80214882            -> origin/export-D80214882
2025-08-26T20:08:14.5042849Z  * [new branch]              export-D80319069            -> origin/export-D80319069
2025-08-26T20:08:14.5043384Z  * [new branch]              export-D80321215            -> origin/export-D80321215
2025-08-26T20:08:14.5043971Z  * [new branch]              export-D80503451            -> origin/export-D80503451
2025-08-26T20:08:14.5044536Z  * [new branch]              export-D80771648            -> origin/export-D80771648
2025-08-26T20:08:14.5045113Z  * [new branch]              export-D80823877            -> origin/export-D80823877
2025-08-26T20:08:14.5045665Z  * [new branch]              export-D80948073            -> origin/export-D80948073
2025-08-26T20:08:14.5046373Z  * [new branch]              export-D80958642            -> origin/export-D80958642
2025-08-26T20:08:14.5046824Z  * [new branch]              export-D80970483            -> origin/export-D80970483
2025-08-26T20:08:14.5047387Z  * [new branch]              export-D81054193            -> origin/export-D81054193
2025-08-26T20:08:14.5048171Z  * [new branch]              export-D81060182            -> origin/export-D81060182
2025-08-26T20:08:14.5048773Z  * [new branch]              exported-model-train-idempotent -> origin/exported-model-train-idempotent
2025-08-26T20:08:14.5049693Z  * [new branch]              ezyang/wip-aot-descriptors  -> origin/ezyang/wip-aot-descriptors
2025-08-26T20:08:14.5050137Z  * [new branch]              fa_u8_brgemm                -> origin/fa_u8_brgemm
2025-08-26T20:08:14.5050736Z  * [new branch]              fastmath_baseline           -> origin/fastmath_baseline
2025-08-26T20:08:14.5051689Z  * [new branch]              fbcode/warm                 -> origin/fbcode/warm
2025-08-26T20:08:14.5052384Z  * [new branch]              fca                         -> origin/fca
2025-08-26T20:08:14.5052848Z  * [new branch]              fca2_ca5984c                -> origin/fca2_ca5984c
2025-08-26T20:08:14.5053368Z  * [new branch]              fca5                        -> origin/fca5
2025-08-26T20:08:14.5054371Z  * [new branch]              feature/function-numa-binding -> origin/feature/function-numa-binding
2025-08-26T20:08:14.5054837Z  * [new branch]              feature/function-numa-binding-take2 -> origin/feature/function-numa-binding-take2
2025-08-26T20:08:14.5055330Z  * [new branch]              feature/numa-nproc-fix      -> origin/feature/numa-nproc-fix
2025-08-26T20:08:14.5055874Z  * [new branch]              feature/numa-signpost-serialize -> origin/feature/numa-signpost-serialize
2025-08-26T20:08:14.5056770Z  * [new branch]              fengyuan/external-proj      -> origin/fengyuan/external-proj
2025-08-26T20:08:14.5057414Z  * [new branch]              fengyuan/out-of-tree-xpu-ops-improve-test -> origin/fengyuan/out-of-tree-xpu-ops-improve-test
2025-08-26T20:08:14.5057911Z  * [new branch]              fengyuan/out-of-tree-xpu-ops-remove-dtype -> origin/fengyuan/out-of-tree-xpu-ops-remove-dtype
2025-08-26T20:08:14.5058382Z  * [new branch]              fengyuan/test-xpu           -> origin/fengyuan/test-xpu
2025-08-26T20:08:14.5059419Z  * [new branch]              ffast_math_baseline         -> origin/ffast_math_baseline
2025-08-26T20:08:14.5059991Z  * [new branch]              ffast_math_target           -> origin/ffast_math_target
2025-08-26T20:08:14.5060996Z  * [new branch]              findhao/base_commit         -> origin/findhao/base_commit
2025-08-26T20:08:14.5061516Z  * [new branch]              findhao/base_commit1        -> origin/findhao/base_commit1
2025-08-26T20:08:14.5062038Z  * [new branch]              findhao/multistream2        -> origin/findhao/multistream2
2025-08-26T20:08:14.5062548Z  * [new branch]              findhao/multistream5        -> origin/findhao/multistream5
2025-08-26T20:08:14.5063140Z  * [new branch]              findhao/multistream6        -> origin/findhao/multistream6
2025-08-26T20:08:14.5063641Z  * [new branch]              findhao/operatorbench3      -> origin/findhao/operatorbench3
2025-08-26T20:08:14.5064124Z  * [new branch]              findhao/operatorbench5      -> origin/findhao/operatorbench5
2025-08-26T20:08:14.5064660Z  * [new branch]              findhao/tritonparse         -> origin/findhao/tritonparse
2025-08-26T20:08:14.5065251Z  * [new branch]              fix                         -> origin/fix
2025-08-26T20:08:14.5065995Z  * [new branch]              fix-ck-gemm-template-format -> origin/fix-ck-gemm-template-format
2025-08-26T20:08:14.5066854Z  * [new branch]              fix-config-ignore           -> origin/fix-config-ignore
2025-08-26T20:08:14.5067365Z  * [new branch]              fix-dict-guard              -> origin/fix-dict-guard
2025-08-26T20:08:14.5068101Z  * [new branch]              fix-distributed-warning     -> origin/fix-distributed-warning
2025-08-26T20:08:14.5068608Z  * [new branch]              fix-inductor-periodic-0528  -> origin/fix-inductor-periodic-0528
2025-08-26T20:08:14.5069441Z  * [new branch]              fix-mps-benchmark           -> origin/fix-mps-benchmark
2025-08-26T20:08:14.5069939Z  * [new branch]              fix-rlease-feature-template -> origin/fix-rlease-feature-template
2025-08-26T20:08:14.5070554Z  * [new branch]              fix-run-condition-upload-results -> origin/fix-run-condition-upload-results
2025-08-26T20:08:14.5071012Z  * [new branch]              fix-torchbench              -> origin/fix-torchbench
2025-08-26T20:08:14.5071529Z  * [new branch]              fix_153389                  -> origin/fix_153389
2025-08-26T20:08:14.5072085Z  * [new branch]              fix_fsdp_rs_bucket2         -> origin/fix_fsdp_rs_bucket2
2025-08-26T20:08:14.5072630Z  * [new branch]              fix_inductor_peridic_tests  -> origin/fix_inductor_peridic_tests
2025-08-26T20:08:14.5073552Z  * [new branch]              fix_ubn_159469              -> origin/fix_ubn_159469
2025-08-26T20:08:14.5074070Z  * [new branch]              fixes-triage                -> origin/fixes-triage
2025-08-26T20:08:14.5074613Z  * [new branch]              flash_decoding_cpu          -> origin/flash_decoding_cpu
2025-08-26T20:08:14.5075166Z  * [new branch]              flex-flash                  -> origin/flex-flash
2025-08-26T20:08:14.5075944Z  * [new branch]              flex-lowering               -> origin/flex-lowering
2025-08-26T20:08:14.5076460Z  * [new branch]              flex-warning                -> origin/flex-warning
2025-08-26T20:08:14.5077202Z  * [new branch]              flex_attention_functorch_grad -> origin/flex_attention_functorch_grad
2025-08-26T20:08:14.5077642Z  * [new branch]              flex_flash                  -> origin/flex_flash
2025-08-26T20:08:14.5078225Z  * [new branch]              flexdecode-gqa-groups       -> origin/flexdecode-gqa-groups
2025-08-26T20:08:14.5079140Z  * [new branch]              fmassa/fix_memeff_sharding_rule -> origin/fmassa/fix_memeff_sharding_rule
2025-08-26T20:08:14.5079613Z  * [new branch]              fmassa/try_fix_ac_tag_propagation -> origin/fmassa/try_fix_ac_tag_propagation
2025-08-26T20:08:14.5080129Z  * [new branch]              fsdp2_trace_rules           -> origin/fsdp2_trace_rules
2025-08-26T20:08:14.5080683Z  * [new branch]              fsdpv2_3d                   -> origin/fsdpv2_3d
2025-08-26T20:08:14.5081390Z  * [new branch]              fsdpv2_3d_m1                -> origin/fsdpv2_3d_m1
2025-08-26T20:08:14.5081937Z  * [new branch]              fx_cpp                      -> origin/fx_cpp
2025-08-26T20:08:14.5082865Z  * [new branch]              fy/fix-win                  -> origin/fy/fix-win
2025-08-26T20:08:14.5084492Z  * [new branch]              gh/AlnisM/1/base            -> origin/gh/AlnisM/1/base
2025-08-26T20:08:14.5085015Z  * [new branch]              gh/AlnisM/1/head            -> origin/gh/AlnisM/1/head
2025-08-26T20:08:14.5086159Z  * [new branch]              gh/CaoE/2/base              -> origin/gh/CaoE/2/base
2025-08-26T20:08:14.5086669Z  * [new branch]              gh/CaoE/2/head              -> origin/gh/CaoE/2/head
2025-08-26T20:08:14.5087441Z  * [new branch]              gh/CaoE/2/orig              -> origin/gh/CaoE/2/orig
2025-08-26T20:08:14.5088558Z  * [new branch]              gh/ColinPeppler/78/base     -> origin/gh/ColinPeppler/78/base
2025-08-26T20:08:14.5089024Z  * [new branch]              gh/ColinPeppler/78/head     -> origin/gh/ColinPeppler/78/head
2025-08-26T20:08:14.5089548Z  * [new branch]              gh/ColinPeppler/78/orig     -> origin/gh/ColinPeppler/78/orig
2025-08-26T20:08:14.5090388Z  * [new branch]              gh/ColinPeppler/79/base     -> origin/gh/ColinPeppler/79/base
2025-08-26T20:08:14.5090915Z  * [new branch]              gh/ColinPeppler/79/head     -> origin/gh/ColinPeppler/79/head
2025-08-26T20:08:14.5091442Z  * [new branch]              gh/ColinPeppler/79/orig     -> origin/gh/ColinPeppler/79/orig
2025-08-26T20:08:14.5092629Z  * [new branch]              gh/EikanWang/67/base        -> origin/gh/EikanWang/67/base
2025-08-26T20:08:14.5093095Z  * [new branch]              gh/EikanWang/67/head        -> origin/gh/EikanWang/67/head
2025-08-26T20:08:14.5093943Z  * [new branch]              gh/EikanWang/80/base        -> origin/gh/EikanWang/80/base
2025-08-26T20:08:14.5094408Z  * [new branch]              gh/EikanWang/80/head        -> origin/gh/EikanWang/80/head
2025-08-26T20:08:14.5094988Z  * [new branch]              gh/EikanWang/80/orig        -> origin/gh/EikanWang/80/orig
2025-08-26T20:08:14.5095840Z  * [new branch]              gh/EikanWang/81/base        -> origin/gh/EikanWang/81/base
2025-08-26T20:08:14.5096300Z  * [new branch]              gh/EikanWang/81/head        -> origin/gh/EikanWang/81/head
2025-08-26T20:08:14.5097026Z  * [new branch]              gh/EikanWang/81/orig        -> origin/gh/EikanWang/81/orig
2025-08-26T20:08:14.5098385Z  * [new branch]              gh/Gasoonjia/1/base         -> origin/gh/Gasoonjia/1/base
2025-08-26T20:08:14.5098881Z  * [new branch]              gh/Gasoonjia/1/head         -> origin/gh/Gasoonjia/1/head
2025-08-26T20:08:14.5100014Z  * [new branch]              gh/H-Huang/131/base         -> origin/gh/H-Huang/131/base
2025-08-26T20:08:14.5100464Z  * [new branch]              gh/H-Huang/131/head         -> origin/gh/H-Huang/131/head
2025-08-26T20:08:14.5101015Z  * [new branch]              gh/H-Huang/131/orig         -> origin/gh/H-Huang/131/orig
2025-08-26T20:08:14.5101929Z  * [new branch]              gh/H-Huang/132/base         -> origin/gh/H-Huang/132/base
2025-08-26T20:08:14.5102406Z  * [new branch]              gh/H-Huang/132/head         -> origin/gh/H-Huang/132/head
2025-08-26T20:08:14.5102976Z  * [new branch]              gh/H-Huang/132/orig         -> origin/gh/H-Huang/132/orig
2025-08-26T20:08:14.5103876Z  * [new branch]              gh/H-Huang/180/base         -> origin/gh/H-Huang/180/base
2025-08-26T20:08:14.5104313Z  * [new branch]              gh/H-Huang/180/head         -> origin/gh/H-Huang/180/head
2025-08-26T20:08:14.5104832Z  * [new branch]              gh/H-Huang/180/orig         -> origin/gh/H-Huang/180/orig
2025-08-26T20:08:14.5105649Z  * [new branch]              gh/H-Huang/182/base         -> origin/gh/H-Huang/182/base
2025-08-26T20:08:14.5106136Z  * [new branch]              gh/H-Huang/182/head         -> origin/gh/H-Huang/182/head
2025-08-26T20:08:14.5106919Z  * [new branch]              gh/H-Huang/182/orig         -> origin/gh/H-Huang/182/orig
2025-08-26T20:08:14.5107795Z  * [new branch]              gh/H-Huang/187/base         -> origin/gh/H-Huang/187/base
2025-08-26T20:08:14.5108198Z  * [new branch]              gh/H-Huang/187/head         -> origin/gh/H-Huang/187/head
2025-08-26T20:08:14.5108691Z  * [new branch]              gh/H-Huang/187/orig         -> origin/gh/H-Huang/187/orig
2025-08-26T20:08:14.5109705Z  * [new branch]              gh/H-Huang/196/base         -> origin/gh/H-Huang/196/base
2025-08-26T20:08:14.5110122Z  * [new branch]              gh/H-Huang/196/head         -> origin/gh/H-Huang/196/head
2025-08-26T20:08:14.5110664Z  * [new branch]              gh/H-Huang/196/orig         -> origin/gh/H-Huang/196/orig
2025-08-26T20:08:14.5111610Z  * [new branch]              gh/H-Huang/197/base         -> origin/gh/H-Huang/197/base
2025-08-26T20:08:14.5112330Z  * [new branch]              gh/H-Huang/197/head         -> origin/gh/H-Huang/197/head
2025-08-26T20:08:14.5112891Z  * [new branch]              gh/H-Huang/197/orig         -> origin/gh/H-Huang/197/orig
2025-08-26T20:08:14.5113829Z  * [new branch]              gh/H-Huang/198/base         -> origin/gh/H-Huang/198/base
2025-08-26T20:08:14.5114392Z  * [new branch]              gh/H-Huang/198/head         -> origin/gh/H-Huang/198/head
2025-08-26T20:08:14.5114904Z  * [new branch]              gh/H-Huang/198/orig         -> origin/gh/H-Huang/198/orig
2025-08-26T20:08:14.5115767Z  * [new branch]              gh/H-Huang/200/base         -> origin/gh/H-Huang/200/base
2025-08-26T20:08:14.5116225Z  * [new branch]              gh/H-Huang/200/head         -> origin/gh/H-Huang/200/head
2025-08-26T20:08:14.5117000Z  * [new branch]              gh/H-Huang/200/orig         -> origin/gh/H-Huang/200/orig
2025-08-26T20:08:14.5117556Z  * [new branch]              gh/H-Huang/201/base         -> origin/gh/H-Huang/201/base
2025-08-26T20:08:14.5118073Z  * [new branch]              gh/H-Huang/201/head         -> origin/gh/H-Huang/201/head
2025-08-26T20:08:14.5118618Z  * [new branch]              gh/H-Huang/201/orig         -> origin/gh/H-Huang/201/orig
2025-08-26T20:08:14.5119427Z  * [new branch]              gh/H-Huang/202/base         -> origin/gh/H-Huang/202/base
2025-08-26T20:08:14.5119884Z  * [new branch]              gh/H-Huang/202/head         -> origin/gh/H-Huang/202/head
2025-08-26T20:08:14.5120413Z  * [new branch]              gh/H-Huang/202/orig         -> origin/gh/H-Huang/202/orig
2025-08-26T20:08:14.5121270Z  * [new branch]              gh/H-Huang/203/base         -> origin/gh/H-Huang/203/base
2025-08-26T20:08:14.5121717Z  * [new branch]              gh/H-Huang/203/head         -> origin/gh/H-Huang/203/head
2025-08-26T20:08:14.5122261Z  * [new branch]              gh/H-Huang/203/orig         -> origin/gh/H-Huang/203/orig
2025-08-26T20:08:14.5123157Z  * [new branch]              gh/H-Huang/204/base         -> origin/gh/H-Huang/204/base
2025-08-26T20:08:14.5123585Z  * [new branch]              gh/H-Huang/204/head         -> origin/gh/H-Huang/204/head
2025-08-26T20:08:14.5124110Z  * [new branch]              gh/H-Huang/204/orig         -> origin/gh/H-Huang/204/orig
2025-08-26T20:08:14.5124955Z  * [new branch]              gh/H-Huang/205/base         -> origin/gh/H-Huang/205/base
2025-08-26T20:08:14.5125415Z  * [new branch]              gh/H-Huang/205/head         -> origin/gh/H-Huang/205/head
2025-08-26T20:08:14.5126189Z  * [new branch]              gh/H-Huang/205/orig         -> origin/gh/H-Huang/205/orig
2025-08-26T20:08:14.5126963Z  * [new branch]              gh/H-Huang/206/base         -> origin/gh/H-Huang/206/base
2025-08-26T20:08:14.5127415Z  * [new branch]              gh/H-Huang/206/head         -> origin/gh/H-Huang/206/head
2025-08-26T20:08:14.5127937Z  * [new branch]              gh/H-Huang/206/orig         -> origin/gh/H-Huang/206/orig
2025-08-26T20:08:14.5128808Z  * [new branch]              gh/H-Huang/207/base         -> origin/gh/H-Huang/207/base
2025-08-26T20:08:14.5129255Z  * [new branch]              gh/H-Huang/207/head         -> origin/gh/H-Huang/207/head
2025-08-26T20:08:14.5129777Z  * [new branch]              gh/H-Huang/207/orig         -> origin/gh/H-Huang/207/orig
2025-08-26T20:08:14.5130936Z  * [new branch]              gh/H-Huang/208/base         -> origin/gh/H-Huang/208/base
2025-08-26T20:08:14.5131380Z  * [new branch]              gh/H-Huang/208/head         -> origin/gh/H-Huang/208/head
2025-08-26T20:08:14.5131879Z  * [new branch]              gh/H-Huang/208/orig         -> origin/gh/H-Huang/208/orig
2025-08-26T20:08:14.5132728Z  * [new branch]              gh/H-Huang/209/base         -> origin/gh/H-Huang/209/base
2025-08-26T20:08:14.5133232Z  * [new branch]              gh/H-Huang/209/head         -> origin/gh/H-Huang/209/head
2025-08-26T20:08:14.5133691Z  * [new branch]              gh/H-Huang/209/orig         -> origin/gh/H-Huang/209/orig
2025-08-26T20:08:14.5134519Z  * [new branch]              gh/H-Huang/210/base         -> origin/gh/H-Huang/210/base
2025-08-26T20:08:14.5134964Z  * [new branch]              gh/H-Huang/210/head         -> origin/gh/H-Huang/210/head
2025-08-26T20:08:14.5135689Z  * [new branch]              gh/H-Huang/210/orig         -> origin/gh/H-Huang/210/orig
2025-08-26T20:08:14.5136723Z  * [new branch]              gh/H-Huang/211/base         -> origin/gh/H-Huang/211/base
2025-08-26T20:08:14.5137206Z  * [new branch]              gh/H-Huang/211/head         -> origin/gh/H-Huang/211/head
2025-08-26T20:08:14.5137737Z  * [new branch]              gh/H-Huang/211/orig         -> origin/gh/H-Huang/211/orig
2025-08-26T20:08:14.5138509Z  * [new branch]              gh/H-Huang/212/base         -> origin/gh/H-Huang/212/base
2025-08-26T20:08:14.5138975Z  * [new branch]              gh/H-Huang/212/head         -> origin/gh/H-Huang/212/head
2025-08-26T20:08:14.5139508Z  * [new branch]              gh/H-Huang/212/orig         -> origin/gh/H-Huang/212/orig
2025-08-26T20:08:14.5140664Z  * [new branch]              gh/IvanKobzarev/111/base    -> origin/gh/IvanKobzarev/111/base
2025-08-26T20:08:14.5141127Z  * [new branch]              gh/IvanKobzarev/111/head    -> origin/gh/IvanKobzarev/111/head
2025-08-26T20:08:14.5141659Z  * [new branch]              gh/IvanKobzarev/111/orig    -> origin/gh/IvanKobzarev/111/orig
2025-08-26T20:08:14.5142541Z  * [new branch]              gh/IvanKobzarev/112/base    -> origin/gh/IvanKobzarev/112/base
2025-08-26T20:08:14.5143049Z  * [new branch]              gh/IvanKobzarev/112/head    -> origin/gh/IvanKobzarev/112/head
2025-08-26T20:08:14.5143556Z  * [new branch]              gh/IvanKobzarev/112/orig    -> origin/gh/IvanKobzarev/112/orig
2025-08-26T20:08:14.5144477Z  * [new branch]              gh/IvanKobzarev/115/base    -> origin/gh/IvanKobzarev/115/base
2025-08-26T20:08:14.5144974Z  * [new branch]              gh/IvanKobzarev/115/head    -> origin/gh/IvanKobzarev/115/head
2025-08-26T20:08:14.5145750Z  * [new branch]              gh/IvanKobzarev/115/orig    -> origin/gh/IvanKobzarev/115/orig
2025-08-26T20:08:14.5146736Z  * [new branch]              gh/IvanKobzarev/116/base    -> origin/gh/IvanKobzarev/116/base
2025-08-26T20:08:14.5147254Z  * [new branch]              gh/IvanKobzarev/116/head    -> origin/gh/IvanKobzarev/116/head
2025-08-26T20:08:14.5147873Z  * [new branch]              gh/IvanKobzarev/116/orig    -> origin/gh/IvanKobzarev/116/orig
2025-08-26T20:08:14.5148777Z  * [new branch]              gh/IvanKobzarev/118/base    -> origin/gh/IvanKobzarev/118/base
2025-08-26T20:08:14.5149226Z  * [new branch]              gh/IvanKobzarev/118/head    -> origin/gh/IvanKobzarev/118/head
2025-08-26T20:08:14.5149744Z  * [new branch]              gh/IvanKobzarev/118/orig    -> origin/gh/IvanKobzarev/118/orig
2025-08-26T20:08:14.5150725Z  * [new branch]              gh/IvanKobzarev/124/base    -> origin/gh/IvanKobzarev/124/base
2025-08-26T20:08:14.5151264Z  * [new branch]              gh/IvanKobzarev/124/head    -> origin/gh/IvanKobzarev/124/head
2025-08-26T20:08:14.5151805Z  * [new branch]              gh/IvanKobzarev/124/orig    -> origin/gh/IvanKobzarev/124/orig
2025-08-26T20:08:14.5152799Z  * [new branch]              gh/IvanKobzarev/126/base    -> origin/gh/IvanKobzarev/126/base
2025-08-26T20:08:14.5153323Z  * [new branch]              gh/IvanKobzarev/126/head    -> origin/gh/IvanKobzarev/126/head
2025-08-26T20:08:14.5153848Z  * [new branch]              gh/IvanKobzarev/126/orig    -> origin/gh/IvanKobzarev/126/orig
2025-08-26T20:08:14.5154813Z  * [new branch]              gh/IvanKobzarev/127/base    -> origin/gh/IvanKobzarev/127/base
2025-08-26T20:08:14.5155364Z  * [new branch]              gh/IvanKobzarev/127/head    -> origin/gh/IvanKobzarev/127/head
2025-08-26T20:08:14.5155916Z  * [new branch]              gh/IvanKobzarev/127/orig    -> origin/gh/IvanKobzarev/127/orig
2025-08-26T20:08:14.5156791Z  * [new branch]              gh/IvanKobzarev/128/base    -> origin/gh/IvanKobzarev/128/base
2025-08-26T20:08:14.5157236Z  * [new branch]              gh/IvanKobzarev/128/head    -> origin/gh/IvanKobzarev/128/head
2025-08-26T20:08:14.5157760Z  * [new branch]              gh/IvanKobzarev/128/orig    -> origin/gh/IvanKobzarev/128/orig
2025-08-26T20:08:14.5158673Z  * [new branch]              gh/IvanKobzarev/132/base    -> origin/gh/IvanKobzarev/132/base
2025-08-26T20:08:14.5159177Z  * [new branch]              gh/IvanKobzarev/132/head    -> origin/gh/IvanKobzarev/132/head
2025-08-26T20:08:14.5159717Z  * [new branch]              gh/IvanKobzarev/132/orig    -> origin/gh/IvanKobzarev/132/orig
2025-08-26T20:08:14.5161069Z  * [new branch]              gh/IvanKobzarev/133/base    -> origin/gh/IvanKobzarev/133/base
2025-08-26T20:08:14.5162864Z  * [new branch]              gh/IvanKobzarev/133/head    -> origin/gh/IvanKobzarev/133/head
2025-08-26T20:08:14.5163195Z  * [new branch]              gh/IvanKobzarev/133/orig    -> origin/gh/IvanKobzarev/133/orig
2025-08-26T20:08:14.5163521Z  * [new branch]              gh/IvanKobzarev/134/base    -> origin/gh/IvanKobzarev/134/base
2025-08-26T20:08:14.5163857Z  * [new branch]              gh/IvanKobzarev/134/head    -> origin/gh/IvanKobzarev/134/head
2025-08-26T20:08:14.5164261Z  * [new branch]              gh/IvanKobzarev/134/orig    -> origin/gh/IvanKobzarev/134/orig
2025-08-26T20:08:14.5165276Z  * [new branch]              gh/IvanKobzarev/135/base    -> origin/gh/IvanKobzarev/135/base
2025-08-26T20:08:14.5165646Z  * [new branch]              gh/IvanKobzarev/135/head    -> origin/gh/IvanKobzarev/135/head
2025-08-26T20:08:14.5166272Z  * [new branch]              gh/IvanKobzarev/135/orig    -> origin/gh/IvanKobzarev/135/orig
2025-08-26T20:08:14.5167309Z  * [new branch]              gh/IvanKobzarev/136/base    -> origin/gh/IvanKobzarev/136/base
2025-08-26T20:08:14.5167813Z  * [new branch]              gh/IvanKobzarev/136/head    -> origin/gh/IvanKobzarev/136/head
2025-08-26T20:08:14.5168310Z  * [new branch]              gh/IvanKobzarev/136/orig    -> origin/gh/IvanKobzarev/136/orig
2025-08-26T20:08:14.5169096Z  * [new branch]              gh/IvanKobzarev/137/base    -> origin/gh/IvanKobzarev/137/base
2025-08-26T20:08:14.5169571Z  * [new branch]              gh/IvanKobzarev/137/head    -> origin/gh/IvanKobzarev/137/head
2025-08-26T20:08:14.5170111Z  * [new branch]              gh/IvanKobzarev/137/orig    -> origin/gh/IvanKobzarev/137/orig
2025-08-26T20:08:14.5170971Z  * [new branch]              gh/IvanKobzarev/138/base    -> origin/gh/IvanKobzarev/138/base
2025-08-26T20:08:14.5171475Z  * [new branch]              gh/IvanKobzarev/138/head    -> origin/gh/IvanKobzarev/138/head
2025-08-26T20:08:14.5172039Z  * [new branch]              gh/IvanKobzarev/138/orig    -> origin/gh/IvanKobzarev/138/orig
2025-08-26T20:08:14.5173244Z  * [new branch]              gh/IvanKobzarev/139/base    -> origin/gh/IvanKobzarev/139/base
2025-08-26T20:08:14.5173734Z  * [new branch]              gh/IvanKobzarev/139/head    -> origin/gh/IvanKobzarev/139/head
2025-08-26T20:08:14.5174278Z  * [new branch]              gh/IvanKobzarev/139/orig    -> origin/gh/IvanKobzarev/139/orig
2025-08-26T20:08:14.5175240Z  * [new branch]              gh/IvanKobzarev/140/base    -> origin/gh/IvanKobzarev/140/base
2025-08-26T20:08:14.5176041Z  * [new branch]              gh/IvanKobzarev/140/head    -> origin/gh/IvanKobzarev/140/head
2025-08-26T20:08:14.5176515Z  * [new branch]              gh/IvanKobzarev/140/orig    -> origin/gh/IvanKobzarev/140/orig
2025-08-26T20:08:14.5177489Z  * [new branch]              gh/IvanKobzarev/141/base    -> origin/gh/IvanKobzarev/141/base
2025-08-26T20:08:14.5177911Z  * [new branch]              gh/IvanKobzarev/141/head    -> origin/gh/IvanKobzarev/141/head
2025-08-26T20:08:14.5178414Z  * [new branch]              gh/IvanKobzarev/141/orig    -> origin/gh/IvanKobzarev/141/orig
2025-08-26T20:08:14.5179669Z  * [new branch]              gh/IvanKobzarev/142/base    -> origin/gh/IvanKobzarev/142/base
2025-08-26T20:08:14.5180062Z  * [new branch]              gh/IvanKobzarev/142/head    -> origin/gh/IvanKobzarev/142/head
2025-08-26T20:08:14.5180568Z  * [new branch]              gh/IvanKobzarev/142/orig    -> origin/gh/IvanKobzarev/142/orig
2025-08-26T20:08:14.5181424Z  * [new branch]              gh/IvanKobzarev/143/base    -> origin/gh/IvanKobzarev/143/base
2025-08-26T20:08:14.5181887Z  * [new branch]              gh/IvanKobzarev/143/head    -> origin/gh/IvanKobzarev/143/head
2025-08-26T20:08:14.5182450Z  * [new branch]              gh/IvanKobzarev/143/orig    -> origin/gh/IvanKobzarev/143/orig
2025-08-26T20:08:14.5183545Z  * [new branch]              gh/NikhilAPatel/1/base      -> origin/gh/NikhilAPatel/1/base
2025-08-26T20:08:14.5184101Z  * [new branch]              gh/NikhilAPatel/1/head      -> origin/gh/NikhilAPatel/1/head
2025-08-26T20:08:14.5185057Z  * [new branch]              gh/NikhilAPatel/2/base      -> origin/gh/NikhilAPatel/2/base
2025-08-26T20:08:14.5185453Z  * [new branch]              gh/NikhilAPatel/2/head      -> origin/gh/NikhilAPatel/2/head
2025-08-26T20:08:14.5186912Z  * [new branch]              gh/NikhilAPatel/4/base      -> origin/gh/NikhilAPatel/4/base
2025-08-26T20:08:14.5187323Z  * [new branch]              gh/NikhilAPatel/4/head      -> origin/gh/NikhilAPatel/4/head
2025-08-26T20:08:14.5187940Z  * [new branch]              gh/NikhilAPatel/8/base      -> origin/gh/NikhilAPatel/8/base
2025-08-26T20:08:14.5188431Z  * [new branch]              gh/NikhilAPatel/8/head      -> origin/gh/NikhilAPatel/8/head
2025-08-26T20:08:14.5188948Z  * [new branch]              gh/NikhilAPatel/8/orig      -> origin/gh/NikhilAPatel/8/orig
2025-08-26T20:08:14.5189905Z  * [new branch]              gh/NikhilAPatel/9/base      -> origin/gh/NikhilAPatel/9/base
2025-08-26T20:08:14.5190440Z  * [new branch]              gh/NikhilAPatel/9/head      -> origin/gh/NikhilAPatel/9/head
2025-08-26T20:08:14.5191180Z  * [new branch]              gh/NikhilAPatel/9/orig      -> origin/gh/NikhilAPatel/9/orig
2025-08-26T20:08:14.5191966Z  * [new branch]              gh/PaliC/1/base             -> origin/gh/PaliC/1/base
2025-08-26T20:08:14.5192492Z  * [new branch]              gh/PaliC/1/head             -> origin/gh/PaliC/1/head
2025-08-26T20:08:14.5193041Z  * [new branch]              gh/PaliC/1/orig             -> origin/gh/PaliC/1/orig
2025-08-26T20:08:14.5194002Z  * [new branch]              gh/PaliC/12/base            -> origin/gh/PaliC/12/base
2025-08-26T20:08:14.5194496Z  * [new branch]              gh/PaliC/12/head            -> origin/gh/PaliC/12/head
2025-08-26T20:08:14.5195089Z  * [new branch]              gh/PaliC/12/orig            -> origin/gh/PaliC/12/orig
2025-08-26T20:08:14.5195956Z  * [new branch]              gh/PaliC/13/base            -> origin/gh/PaliC/13/base
2025-08-26T20:08:14.5196526Z  * [new branch]              gh/PaliC/13/head            -> origin/gh/PaliC/13/head
2025-08-26T20:08:14.5197086Z  * [new branch]              gh/PaliC/13/orig            -> origin/gh/PaliC/13/orig
2025-08-26T20:08:14.5197885Z  * [new branch]              gh/PaliC/14/base            -> origin/gh/PaliC/14/base
2025-08-26T20:08:14.5198363Z  * [new branch]              gh/PaliC/14/head            -> origin/gh/PaliC/14/head
2025-08-26T20:08:14.5198907Z  * [new branch]              gh/PaliC/14/orig            -> origin/gh/PaliC/14/orig
2025-08-26T20:08:14.5199667Z  * [new branch]              gh/PaliC/16/base            -> origin/gh/PaliC/16/base
2025-08-26T20:08:14.5200127Z  * [new branch]              gh/PaliC/16/head            -> origin/gh/PaliC/16/head
2025-08-26T20:08:14.5200705Z  * [new branch]              gh/PaliC/16/orig            -> origin/gh/PaliC/16/orig
2025-08-26T20:08:14.5201518Z  * [new branch]              gh/PaliC/17/base            -> origin/gh/PaliC/17/base
2025-08-26T20:08:14.5201966Z  * [new branch]              gh/PaliC/17/head            -> origin/gh/PaliC/17/head
2025-08-26T20:08:14.5202571Z  * [new branch]              gh/PaliC/17/orig            -> origin/gh/PaliC/17/orig
2025-08-26T20:08:14.5203383Z  * [new branch]              gh/PaliC/18/base            -> origin/gh/PaliC/18/base
2025-08-26T20:08:14.5203856Z  * [new branch]              gh/PaliC/18/head            -> origin/gh/PaliC/18/head
2025-08-26T20:08:14.5204363Z  * [new branch]              gh/PaliC/18/orig            -> origin/gh/PaliC/18/orig
2025-08-26T20:08:14.5205309Z  * [new branch]              gh/PaliC/19/base            -> origin/gh/PaliC/19/base
2025-08-26T20:08:14.5205785Z  * [new branch]              gh/PaliC/19/head            -> origin/gh/PaliC/19/head
2025-08-26T20:08:14.5206316Z  * [new branch]              gh/PaliC/19/orig            -> origin/gh/PaliC/19/orig
2025-08-26T20:08:14.5207164Z  * [new branch]              gh/PaliC/2/base             -> origin/gh/PaliC/2/base
2025-08-26T20:08:14.5207606Z  * [new branch]              gh/PaliC/2/head             -> origin/gh/PaliC/2/head
2025-08-26T20:08:14.5208153Z  * [new branch]              gh/PaliC/2/orig             -> origin/gh/PaliC/2/orig
2025-08-26T20:08:14.5209067Z  * [new branch]              gh/PaliC/20/base            -> origin/gh/PaliC/20/base
2025-08-26T20:08:14.5209533Z  * [new branch]              gh/PaliC/20/head            -> origin/gh/PaliC/20/head
2025-08-26T20:08:14.5210134Z  * [new branch]              gh/PaliC/20/orig            -> origin/gh/PaliC/20/orig
2025-08-26T20:08:14.5210956Z  * [new branch]              gh/PaliC/21/base            -> origin/gh/PaliC/21/base
2025-08-26T20:08:14.5211433Z  * [new branch]              gh/PaliC/21/head            -> origin/gh/PaliC/21/head
2025-08-26T20:08:14.5211983Z  * [new branch]              gh/PaliC/21/orig            -> origin/gh/PaliC/21/orig
2025-08-26T20:08:14.5212780Z  * [new branch]              gh/PaliC/22/base            -> origin/gh/PaliC/22/base
2025-08-26T20:08:14.5213243Z  * [new branch]              gh/PaliC/22/head            -> origin/gh/PaliC/22/head
2025-08-26T20:08:14.5213772Z  * [new branch]              gh/PaliC/22/orig            -> origin/gh/PaliC/22/orig
2025-08-26T20:08:14.5214676Z  * [new branch]              gh/PaliC/23/base            -> origin/gh/PaliC/23/base
2025-08-26T20:08:14.5215108Z  * [new branch]              gh/PaliC/23/head            -> origin/gh/PaliC/23/head
2025-08-26T20:08:14.5215662Z  * [new branch]              gh/PaliC/23/orig            -> origin/gh/PaliC/23/orig
2025-08-26T20:08:14.5216525Z  * [new branch]              gh/PaliC/24/base            -> origin/gh/PaliC/24/base
2025-08-26T20:08:14.5217003Z  * [new branch]              gh/PaliC/24/head            -> origin/gh/PaliC/24/head
2025-08-26T20:08:14.5217525Z  * [new branch]              gh/PaliC/24/orig            -> origin/gh/PaliC/24/orig
2025-08-26T20:08:14.5218670Z  * [new branch]              gh/PaulZhang12/17/base      -> origin/gh/PaulZhang12/17/base
2025-08-26T20:08:14.5219125Z  * [new branch]              gh/PaulZhang12/17/head      -> origin/gh/PaulZhang12/17/head
2025-08-26T20:08:14.5220149Z  * [new branch]              gh/PaulZhang12/20/base      -> origin/gh/PaulZhang12/20/base
2025-08-26T20:08:14.5220671Z  * [new branch]              gh/PaulZhang12/20/head      -> origin/gh/PaulZhang12/20/head
2025-08-26T20:08:14.5221219Z  * [new branch]              gh/PaulZhang12/20/orig      -> origin/gh/PaulZhang12/20/orig
2025-08-26T20:08:14.5222102Z  * [new branch]              gh/PaulZhang12/21/base      -> origin/gh/PaulZhang12/21/base
2025-08-26T20:08:14.5222607Z  * [new branch]              gh/PaulZhang12/21/head      -> origin/gh/PaulZhang12/21/head
2025-08-26T20:08:14.5223152Z  * [new branch]              gh/PaulZhang12/21/orig      -> origin/gh/PaulZhang12/21/orig
2025-08-26T20:08:14.5224007Z  * [new branch]              gh/PaulZhang12/22/base      -> origin/gh/PaulZhang12/22/base
2025-08-26T20:08:14.5224588Z  * [new branch]              gh/PaulZhang12/22/head      -> origin/gh/PaulZhang12/22/head
2025-08-26T20:08:14.5225118Z  * [new branch]              gh/PaulZhang12/22/orig      -> origin/gh/PaulZhang12/22/orig
2025-08-26T20:08:14.5226211Z  * [new branch]              gh/SamGinzburg/11/base      -> origin/gh/SamGinzburg/11/base
2025-08-26T20:08:14.5226591Z  * [new branch]              gh/SamGinzburg/11/head      -> origin/gh/SamGinzburg/11/head
2025-08-26T20:08:14.5227974Z  * [new branch]              gh/Sidharth123-cpu/24/base  -> origin/gh/Sidharth123-cpu/24/base
2025-08-26T20:08:14.5228556Z  * [new branch]              gh/Sidharth123-cpu/25/base  -> origin/gh/Sidharth123-cpu/25/base
2025-08-26T20:08:14.5229324Z  * [new branch]              gh/Sidharth123-cpu/26/base  -> origin/gh/Sidharth123-cpu/26/base
2025-08-26T20:08:14.5230135Z  * [new branch]              gh/Sidharth123-cpu/27/base  -> origin/gh/Sidharth123-cpu/27/base
2025-08-26T20:08:14.5231129Z  * [new branch]              gh/StrongerXi/1/base        -> origin/gh/StrongerXi/1/base
2025-08-26T20:08:14.5231621Z  * [new branch]              gh/StrongerXi/1/head        -> origin/gh/StrongerXi/1/head
2025-08-26T20:08:14.5232458Z  * [new branch]              gh/StrongerXi/103/base      -> origin/gh/StrongerXi/103/base
2025-08-26T20:08:14.5232908Z  * [new branch]              gh/StrongerXi/103/head      -> origin/gh/StrongerXi/103/head
2025-08-26T20:08:14.5233414Z  * [new branch]              gh/StrongerXi/103/orig      -> origin/gh/StrongerXi/103/orig
2025-08-26T20:08:14.5234274Z  * [new branch]              gh/StrongerXi/133/base      -> origin/gh/StrongerXi/133/base
2025-08-26T20:08:14.5234717Z  * [new branch]              gh/StrongerXi/133/head      -> origin/gh/StrongerXi/133/head
2025-08-26T20:08:14.5235461Z  * [new branch]              gh/StrongerXi/133/orig      -> origin/gh/StrongerXi/133/orig
2025-08-26T20:08:14.5236206Z  * [new branch]              gh/StrongerXi/134/base      -> origin/gh/StrongerXi/134/base
2025-08-26T20:08:14.5236661Z  * [new branch]              gh/StrongerXi/134/head      -> origin/gh/StrongerXi/134/head
2025-08-26T20:08:14.5237220Z  * [new branch]              gh/StrongerXi/134/orig      -> origin/gh/StrongerXi/134/orig
2025-08-26T20:08:14.5238025Z  * [new branch]              gh/StrongerXi/136/base      -> origin/gh/StrongerXi/136/base
2025-08-26T20:08:14.5238454Z  * [new branch]              gh/StrongerXi/136/head      -> origin/gh/StrongerXi/136/head
2025-08-26T20:08:14.5239001Z  * [new branch]              gh/StrongerXi/136/orig      -> origin/gh/StrongerXi/136/orig
2025-08-26T20:08:14.5239786Z  * [new branch]              gh/StrongerXi/137/base      -> origin/gh/StrongerXi/137/base
2025-08-26T20:08:14.5240240Z  * [new branch]              gh/StrongerXi/137/head      -> origin/gh/StrongerXi/137/head
2025-08-26T20:08:14.5240773Z  * [new branch]              gh/StrongerXi/137/orig      -> origin/gh/StrongerXi/137/orig
2025-08-26T20:08:14.5241536Z  * [new branch]              gh/StrongerXi/138/base      -> origin/gh/StrongerXi/138/base
2025-08-26T20:08:14.5241969Z  * [new branch]              gh/StrongerXi/138/head      -> origin/gh/StrongerXi/138/head
2025-08-26T20:08:14.5242511Z  * [new branch]              gh/StrongerXi/138/orig      -> origin/gh/StrongerXi/138/orig
2025-08-26T20:08:14.5243305Z  * [new branch]              gh/StrongerXi/139/base      -> origin/gh/StrongerXi/139/base
2025-08-26T20:08:14.5243741Z  * [new branch]              gh/StrongerXi/139/head      -> origin/gh/StrongerXi/139/head
2025-08-26T20:08:14.5244550Z  * [new branch]              gh/StrongerXi/139/orig      -> origin/gh/StrongerXi/139/orig
2025-08-26T20:08:14.5245310Z  * [new branch]              gh/StrongerXi/140/base      -> origin/gh/StrongerXi/140/base
2025-08-26T20:08:14.5245744Z  * [new branch]              gh/StrongerXi/140/head      -> origin/gh/StrongerXi/140/head
2025-08-26T20:08:14.5246485Z  * [new branch]              gh/StrongerXi/140/orig      -> origin/gh/StrongerXi/140/orig
2025-08-26T20:08:14.5247237Z  * [new branch]              gh/StrongerXi/71/base       -> origin/gh/StrongerXi/71/base
2025-08-26T20:08:14.5247679Z  * [new branch]              gh/StrongerXi/71/head       -> origin/gh/StrongerXi/71/head
2025-08-26T20:08:14.5248495Z  * [new branch]              gh/StrongerXi/72/base       -> origin/gh/StrongerXi/72/base
2025-08-26T20:08:14.5248938Z  * [new branch]              gh/StrongerXi/72/head       -> origin/gh/StrongerXi/72/head
2025-08-26T20:08:14.5250074Z  * [new branch]              gh/XilunWu/133/base         -> origin/gh/XilunWu/133/base
2025-08-26T20:08:14.5250533Z  * [new branch]              gh/XilunWu/133/head         -> origin/gh/XilunWu/133/head
2025-08-26T20:08:14.5251266Z  * [new branch]              gh/XilunWu/133/orig         -> origin/gh/XilunWu/133/orig
2025-08-26T20:08:14.5252106Z  * [new branch]              gh/XilunWu/139/base         -> origin/gh/XilunWu/139/base
2025-08-26T20:08:14.5252584Z  * [new branch]              gh/XilunWu/139/head         -> origin/gh/XilunWu/139/head
2025-08-26T20:08:14.5253072Z  * [new branch]              gh/XilunWu/139/orig         -> origin/gh/XilunWu/139/orig
2025-08-26T20:08:14.5254119Z  * [new branch]              gh/XilunWu/143/base         -> origin/gh/XilunWu/143/base
2025-08-26T20:08:14.5254621Z  * [new branch]              gh/XilunWu/143/head         -> origin/gh/XilunWu/143/head
2025-08-26T20:08:14.5255145Z  * [new branch]              gh/XilunWu/143/orig         -> origin/gh/XilunWu/143/orig
2025-08-26T20:08:14.5256079Z  * [new branch]              gh/XilunWu/144/base         -> origin/gh/XilunWu/144/base
2025-08-26T20:08:14.5256540Z  * [new branch]              gh/XilunWu/144/head         -> origin/gh/XilunWu/144/head
2025-08-26T20:08:14.5257474Z  * [new branch]              gh/XilunWu/144/orig         -> origin/gh/XilunWu/144/orig
2025-08-26T20:08:14.5258326Z  * [new branch]              gh/XilunWu/145/base         -> origin/gh/XilunWu/145/base
2025-08-26T20:08:14.5258739Z  * [new branch]              gh/XilunWu/145/head         -> origin/gh/XilunWu/145/head
2025-08-26T20:08:14.5259299Z  * [new branch]              gh/XilunWu/145/orig         -> origin/gh/XilunWu/145/orig
2025-08-26T20:08:14.5260070Z  * [new branch]              gh/XilunWu/146/base         -> origin/gh/XilunWu/146/base
2025-08-26T20:08:14.5260486Z  * [new branch]              gh/XilunWu/146/head         -> origin/gh/XilunWu/146/head
2025-08-26T20:08:14.5261048Z  * [new branch]              gh/XilunWu/146/orig         -> origin/gh/XilunWu/146/orig
2025-08-26T20:08:14.5261869Z  * [new branch]              gh/XilunWu/147/base         -> origin/gh/XilunWu/147/base
2025-08-26T20:08:14.5262315Z  * [new branch]              gh/XilunWu/147/head         -> origin/gh/XilunWu/147/head
2025-08-26T20:08:14.5262876Z  * [new branch]              gh/XilunWu/147/orig         -> origin/gh/XilunWu/147/orig
2025-08-26T20:08:14.5263709Z  * [new branch]              gh/XilunWu/148/base         -> origin/gh/XilunWu/148/base
2025-08-26T20:08:14.5264175Z  * [new branch]              gh/XilunWu/148/head         -> origin/gh/XilunWu/148/head
2025-08-26T20:08:14.5264738Z  * [new branch]              gh/XilunWu/148/orig         -> origin/gh/XilunWu/148/orig
2025-08-26T20:08:14.5265473Z  * [new branch]              gh/XilunWu/149/base         -> origin/gh/XilunWu/149/base
2025-08-26T20:08:14.5265968Z  * [new branch]              gh/XilunWu/149/head         -> origin/gh/XilunWu/149/head
2025-08-26T20:08:14.5266540Z  * [new branch]              gh/XilunWu/149/orig         -> origin/gh/XilunWu/149/orig
2025-08-26T20:08:14.5267303Z  * [new branch]              gh/XilunWu/150/base         -> origin/gh/XilunWu/150/base
2025-08-26T20:08:14.5267790Z  * [new branch]              gh/XilunWu/150/head         -> origin/gh/XilunWu/150/head
2025-08-26T20:08:14.5268328Z  * [new branch]              gh/XilunWu/150/orig         -> origin/gh/XilunWu/150/orig
2025-08-26T20:08:14.5269233Z  * [new branch]              gh/XilunWu/151/base         -> origin/gh/XilunWu/151/base
2025-08-26T20:08:14.5269697Z  * [new branch]              gh/XilunWu/151/head         -> origin/gh/XilunWu/151/head
2025-08-26T20:08:14.5270282Z  * [new branch]              gh/XilunWu/151/orig         -> origin/gh/XilunWu/151/orig
2025-08-26T20:08:14.5271154Z  * [new branch]              gh/XilunWu/152/base         -> origin/gh/XilunWu/152/base
2025-08-26T20:08:14.5271846Z  * [new branch]              gh/XilunWu/152/head         -> origin/gh/XilunWu/152/head
2025-08-26T20:08:14.5272160Z  * [new branch]              gh/XilunWu/152/orig         -> origin/gh/XilunWu/152/orig
2025-08-26T20:08:14.5273040Z  * [new branch]              gh/XilunWu/153/base         -> origin/gh/XilunWu/153/base
2025-08-26T20:08:14.5273479Z  * [new branch]              gh/XilunWu/153/head         -> origin/gh/XilunWu/153/head
2025-08-26T20:08:14.5274015Z  * [new branch]              gh/XilunWu/153/orig         -> origin/gh/XilunWu/153/orig
2025-08-26T20:08:14.5275062Z  * [new branch]              gh/XilunWu/159/base         -> origin/gh/XilunWu/159/base
2025-08-26T20:08:14.5275676Z  * [new branch]              gh/XilunWu/159/head         -> origin/gh/XilunWu/159/head
2025-08-26T20:08:14.5276214Z  * [new branch]              gh/XilunWu/159/orig         -> origin/gh/XilunWu/159/orig
2025-08-26T20:08:14.5277208Z  * [new branch]              gh/XilunWu/160/base         -> origin/gh/XilunWu/160/base
2025-08-26T20:08:14.5277608Z  * [new branch]              gh/XilunWu/160/head         -> origin/gh/XilunWu/160/head
2025-08-26T20:08:14.5278168Z  * [new branch]              gh/XilunWu/160/orig         -> origin/gh/XilunWu/160/orig
2025-08-26T20:08:14.5279153Z  * [new branch]              gh/XilunWu/161/base         -> origin/gh/XilunWu/161/base
2025-08-26T20:08:14.5279579Z  * [new branch]              gh/XilunWu/161/head         -> origin/gh/XilunWu/161/head
2025-08-26T20:08:14.5280073Z  * [new branch]              gh/XilunWu/161/orig         -> origin/gh/XilunWu/161/orig
2025-08-26T20:08:14.5281329Z  * [new branch]              gh/XilunWu/162/base         -> origin/gh/XilunWu/162/base
2025-08-26T20:08:14.5281891Z  * [new branch]              gh/XilunWu/162/head         -> origin/gh/XilunWu/162/head
2025-08-26T20:08:14.5282448Z  * [new branch]              gh/XilunWu/162/orig         -> origin/gh/XilunWu/162/orig
2025-08-26T20:08:14.5283519Z  * [new branch]              gh/XilunWu/163/base         -> origin/gh/XilunWu/163/base
2025-08-26T20:08:14.5283973Z  * [new branch]              gh/XilunWu/163/head         -> origin/gh/XilunWu/163/head
2025-08-26T20:08:14.5284505Z  * [new branch]              gh/XilunWu/163/orig         -> origin/gh/XilunWu/163/orig
2025-08-26T20:08:14.5285359Z  * [new branch]              gh/XilunWu/164/base         -> origin/gh/XilunWu/164/base
2025-08-26T20:08:14.5285877Z  * [new branch]              gh/XilunWu/164/head         -> origin/gh/XilunWu/164/head
2025-08-26T20:08:14.5286413Z  * [new branch]              gh/XilunWu/164/orig         -> origin/gh/XilunWu/164/orig
2025-08-26T20:08:14.5287302Z  * [new branch]              gh/XilunWu/165/base         -> origin/gh/XilunWu/165/base
2025-08-26T20:08:14.5287741Z  * [new branch]              gh/XilunWu/165/head         -> origin/gh/XilunWu/165/head
2025-08-26T20:08:14.5288259Z  * [new branch]              gh/XilunWu/165/orig         -> origin/gh/XilunWu/165/orig
2025-08-26T20:08:14.5289110Z  * [new branch]              gh/XilunWu/166/base         -> origin/gh/XilunWu/166/base
2025-08-26T20:08:14.5289606Z  * [new branch]              gh/XilunWu/166/head         -> origin/gh/XilunWu/166/head
2025-08-26T20:08:14.5290192Z  * [new branch]              gh/XilunWu/166/orig         -> origin/gh/XilunWu/166/orig
2025-08-26T20:08:14.5291066Z  * [new branch]              gh/XilunWu/167/base         -> origin/gh/XilunWu/167/base
2025-08-26T20:08:14.5291596Z  * [new branch]              gh/XilunWu/167/head         -> origin/gh/XilunWu/167/head
2025-08-26T20:08:14.5292160Z  * [new branch]              gh/XilunWu/167/orig         -> origin/gh/XilunWu/167/orig
2025-08-26T20:08:14.5293367Z  * [new branch]              gh/XuehaiPan/14/base        -> origin/gh/XuehaiPan/14/base
2025-08-26T20:08:14.5293816Z  * [new branch]              gh/XuehaiPan/14/head        -> origin/gh/XuehaiPan/14/head
2025-08-26T20:08:14.5294354Z  * [new branch]              gh/XuehaiPan/14/orig        -> origin/gh/XuehaiPan/14/orig
2025-08-26T20:08:14.5295273Z  * [new branch]              gh/XuehaiPan/179/base       -> origin/gh/XuehaiPan/179/base
2025-08-26T20:08:14.5295715Z  * [new branch]              gh/XuehaiPan/179/head       -> origin/gh/XuehaiPan/179/head
2025-08-26T20:08:14.5296390Z  * [new branch]              gh/XuehaiPan/179/orig       -> origin/gh/XuehaiPan/179/orig
2025-08-26T20:08:14.5297262Z  * [new branch]              gh/XuehaiPan/189/base       -> origin/gh/XuehaiPan/189/base
2025-08-26T20:08:14.5307404Z  * [new branch]              gh/XuehaiPan/189/head       -> origin/gh/XuehaiPan/189/head
2025-08-26T20:08:14.5307724Z  * [new branch]              gh/XuehaiPan/189/orig       -> origin/gh/XuehaiPan/189/orig
2025-08-26T20:08:14.5308068Z  * [new branch]              gh/XuehaiPan/227/base       -> origin/gh/XuehaiPan/227/base
2025-08-26T20:08:14.5308380Z  * [new branch]              gh/XuehaiPan/227/head       -> origin/gh/XuehaiPan/227/head
2025-08-26T20:08:14.5308695Z  * [new branch]              gh/XuehaiPan/227/orig       -> origin/gh/XuehaiPan/227/orig
2025-08-26T20:08:14.5309008Z  * [new branch]              gh/XuehaiPan/231/base       -> origin/gh/XuehaiPan/231/base
2025-08-26T20:08:14.5309314Z  * [new branch]              gh/XuehaiPan/231/head       -> origin/gh/XuehaiPan/231/head
2025-08-26T20:08:14.5309621Z  * [new branch]              gh/XuehaiPan/231/orig       -> origin/gh/XuehaiPan/231/orig
2025-08-26T20:08:14.5309932Z  * [new branch]              gh/XuehaiPan/232/base       -> origin/gh/XuehaiPan/232/base
2025-08-26T20:08:14.5310232Z  * [new branch]              gh/XuehaiPan/232/head       -> origin/gh/XuehaiPan/232/head
2025-08-26T20:08:14.5310534Z  * [new branch]              gh/XuehaiPan/232/orig       -> origin/gh/XuehaiPan/232/orig
2025-08-26T20:08:14.5310839Z  * [new branch]              gh/XuehaiPan/249/base       -> origin/gh/XuehaiPan/249/base
2025-08-26T20:08:14.5311145Z  * [new branch]              gh/XuehaiPan/249/head       -> origin/gh/XuehaiPan/249/head
2025-08-26T20:08:14.5311454Z  * [new branch]              gh/XuehaiPan/249/orig       -> origin/gh/XuehaiPan/249/orig
2025-08-26T20:08:14.5311753Z  * [new branch]              gh/XuehaiPan/253/base       -> origin/gh/XuehaiPan/253/base
2025-08-26T20:08:14.5312061Z  * [new branch]              gh/XuehaiPan/253/head       -> origin/gh/XuehaiPan/253/head
2025-08-26T20:08:14.5312371Z  * [new branch]              gh/XuehaiPan/253/orig       -> origin/gh/XuehaiPan/253/orig
2025-08-26T20:08:14.5312729Z  * [new branch]              gh/XuehaiPan/254/base       -> origin/gh/XuehaiPan/254/base
2025-08-26T20:08:14.5313039Z  * [new branch]              gh/XuehaiPan/254/head       -> origin/gh/XuehaiPan/254/head
2025-08-26T20:08:14.5313340Z  * [new branch]              gh/XuehaiPan/254/orig       -> origin/gh/XuehaiPan/254/orig
2025-08-26T20:08:14.5313645Z  * [new branch]              gh/XuehaiPan/255/base       -> origin/gh/XuehaiPan/255/base
2025-08-26T20:08:14.5313956Z  * [new branch]              gh/XuehaiPan/255/head       -> origin/gh/XuehaiPan/255/head
2025-08-26T20:08:14.5314267Z  * [new branch]              gh/XuehaiPan/255/orig       -> origin/gh/XuehaiPan/255/orig
2025-08-26T20:08:14.5314580Z  * [new branch]              gh/XuehaiPan/257/base       -> origin/gh/XuehaiPan/257/base
2025-08-26T20:08:14.5314879Z  * [new branch]              gh/XuehaiPan/257/head       -> origin/gh/XuehaiPan/257/head
2025-08-26T20:08:14.5315197Z  * [new branch]              gh/XuehaiPan/257/orig       -> origin/gh/XuehaiPan/257/orig
2025-08-26T20:08:14.5315514Z  * [new branch]              gh/XuehaiPan/271/base       -> origin/gh/XuehaiPan/271/base
2025-08-26T20:08:14.5315824Z  * [new branch]              gh/XuehaiPan/271/head       -> origin/gh/XuehaiPan/271/head
2025-08-26T20:08:14.5316137Z  * [new branch]              gh/XuehaiPan/271/orig       -> origin/gh/XuehaiPan/271/orig
2025-08-26T20:08:14.5316448Z  * [new branch]              gh/XuehaiPan/290/base       -> origin/gh/XuehaiPan/290/base
2025-08-26T20:08:14.5316757Z  * [new branch]              gh/XuehaiPan/290/head       -> origin/gh/XuehaiPan/290/head
2025-08-26T20:08:14.5317115Z  * [new branch]              gh/XuehaiPan/290/orig       -> origin/gh/XuehaiPan/290/orig
2025-08-26T20:08:14.5317534Z  * [new branch]              gh/XuehaiPan/343/base       -> origin/gh/XuehaiPan/343/base
2025-08-26T20:08:14.5318048Z  * [new branch]              gh/XuehaiPan/343/head       -> origin/gh/XuehaiPan/343/head
2025-08-26T20:08:14.5318688Z  * [new branch]              gh/XuehaiPan/343/orig       -> origin/gh/XuehaiPan/343/orig
2025-08-26T20:08:14.5319551Z  * [new branch]              gh/XuehaiPan/347/base       -> origin/gh/XuehaiPan/347/base
2025-08-26T20:08:14.5320012Z  * [new branch]              gh/XuehaiPan/347/head       -> origin/gh/XuehaiPan/347/head
2025-08-26T20:08:14.5320811Z  * [new branch]              gh/XuehaiPan/347/orig       -> origin/gh/XuehaiPan/347/orig
2025-08-26T20:08:14.5321625Z  * [new branch]              gh/XuehaiPan/348/base       -> origin/gh/XuehaiPan/348/base
2025-08-26T20:08:14.5322064Z  * [new branch]              gh/XuehaiPan/348/head       -> origin/gh/XuehaiPan/348/head
2025-08-26T20:08:14.5322580Z  * [new branch]              gh/XuehaiPan/348/orig       -> origin/gh/XuehaiPan/348/orig
2025-08-26T20:08:14.5323391Z  * [new branch]              gh/XuehaiPan/350/base       -> origin/gh/XuehaiPan/350/base
2025-08-26T20:08:14.5323823Z  * [new branch]              gh/XuehaiPan/350/head       -> origin/gh/XuehaiPan/350/head
2025-08-26T20:08:14.5324333Z  * [new branch]              gh/XuehaiPan/350/orig       -> origin/gh/XuehaiPan/350/orig
2025-08-26T20:08:14.5325509Z  * [new branch]              gh/XuehaiPan/356/base       -> origin/gh/XuehaiPan/356/base
2025-08-26T20:08:14.5325965Z  * [new branch]              gh/XuehaiPan/356/head       -> origin/gh/XuehaiPan/356/head
2025-08-26T20:08:14.5326749Z  * [new branch]              gh/XuehaiPan/356/orig       -> origin/gh/XuehaiPan/356/orig
2025-08-26T20:08:14.5327394Z  * [new branch]              gh/XuehaiPan/357/base       -> origin/gh/XuehaiPan/357/base
2025-08-26T20:08:14.5327910Z  * [new branch]              gh/XuehaiPan/357/head       -> origin/gh/XuehaiPan/357/head
2025-08-26T20:08:14.5328438Z  * [new branch]              gh/XuehaiPan/357/orig       -> origin/gh/XuehaiPan/357/orig
2025-08-26T20:08:14.5329233Z  * [new branch]              gh/XuehaiPan/358/base       -> origin/gh/XuehaiPan/358/base
2025-08-26T20:08:14.5329692Z  * [new branch]              gh/XuehaiPan/358/head       -> origin/gh/XuehaiPan/358/head
2025-08-26T20:08:14.5330517Z  * [new branch]              gh/XuehaiPan/358/orig       -> origin/gh/XuehaiPan/358/orig
2025-08-26T20:08:14.5331320Z  * [new branch]              gh/XuehaiPan/359/base       -> origin/gh/XuehaiPan/359/base
2025-08-26T20:08:14.5331767Z  * [new branch]              gh/XuehaiPan/359/head       -> origin/gh/XuehaiPan/359/head
2025-08-26T20:08:14.5332310Z  * [new branch]              gh/XuehaiPan/359/orig       -> origin/gh/XuehaiPan/359/orig
2025-08-26T20:08:14.5333091Z  * [new branch]              gh/XuehaiPan/360/base       -> origin/gh/XuehaiPan/360/base
2025-08-26T20:08:14.5333549Z  * [new branch]              gh/XuehaiPan/360/head       -> origin/gh/XuehaiPan/360/head
2025-08-26T20:08:14.5334174Z  * [new branch]              gh/XuehaiPan/360/orig       -> origin/gh/XuehaiPan/360/orig
2025-08-26T20:08:14.5335012Z  * [new branch]              gh/XuehaiPan/365/base       -> origin/gh/XuehaiPan/365/base
2025-08-26T20:08:14.5335506Z  * [new branch]              gh/XuehaiPan/365/head       -> origin/gh/XuehaiPan/365/head
2025-08-26T20:08:14.5336012Z  * [new branch]              gh/XuehaiPan/365/orig       -> origin/gh/XuehaiPan/365/orig
2025-08-26T20:08:14.5336791Z  * [new branch]              gh/XuehaiPan/366/base       -> origin/gh/XuehaiPan/366/base
2025-08-26T20:08:14.5337239Z  * [new branch]              gh/XuehaiPan/366/head       -> origin/gh/XuehaiPan/366/head
2025-08-26T20:08:14.5338070Z  * [new branch]              gh/XuehaiPan/369/base       -> origin/gh/XuehaiPan/369/base
2025-08-26T20:08:14.5338591Z  * [new branch]              gh/XuehaiPan/369/head       -> origin/gh/XuehaiPan/369/head
2025-08-26T20:08:14.5339084Z  * [new branch]              gh/XuehaiPan/369/orig       -> origin/gh/XuehaiPan/369/orig
2025-08-26T20:08:14.5340027Z  * [new branch]              gh/XuehaiPan/370/base       -> origin/gh/XuehaiPan/370/base
2025-08-26T20:08:14.5340473Z  * [new branch]              gh/XuehaiPan/370/head       -> origin/gh/XuehaiPan/370/head
2025-08-26T20:08:14.5341014Z  * [new branch]              gh/XuehaiPan/370/orig       -> origin/gh/XuehaiPan/370/orig
2025-08-26T20:08:14.5341917Z  * [new branch]              gh/XuehaiPan/371/base       -> origin/gh/XuehaiPan/371/base
2025-08-26T20:08:14.5342351Z  * [new branch]              gh/XuehaiPan/371/head       -> origin/gh/XuehaiPan/371/head
2025-08-26T20:08:14.5342880Z  * [new branch]              gh/XuehaiPan/371/orig       -> origin/gh/XuehaiPan/371/orig
2025-08-26T20:08:14.5343673Z  * [new branch]              gh/XuehaiPan/377/base       -> origin/gh/XuehaiPan/377/base
2025-08-26T20:08:14.5344103Z  * [new branch]              gh/XuehaiPan/377/head       -> origin/gh/XuehaiPan/377/head
2025-08-26T20:08:14.5344656Z  * [new branch]              gh/XuehaiPan/377/orig       -> origin/gh/XuehaiPan/377/orig
2025-08-26T20:08:14.5345566Z  * [new branch]              gh/XuehaiPan/378/base       -> origin/gh/XuehaiPan/378/base
2025-08-26T20:08:14.5345981Z  * [new branch]              gh/XuehaiPan/378/head       -> origin/gh/XuehaiPan/378/head
2025-08-26T20:08:14.5346553Z  * [new branch]              gh/XuehaiPan/378/orig       -> origin/gh/XuehaiPan/378/orig
2025-08-26T20:08:14.5347404Z  * [new branch]              gh/XuehaiPan/379/base       -> origin/gh/XuehaiPan/379/base
2025-08-26T20:08:14.5347799Z  * [new branch]              gh/XuehaiPan/379/head       -> origin/gh/XuehaiPan/379/head
2025-08-26T20:08:14.5348558Z  * [new branch]              gh/XuehaiPan/379/orig       -> origin/gh/XuehaiPan/379/orig
2025-08-26T20:08:14.5349395Z  * [new branch]              gh/XuehaiPan/380/base       -> origin/gh/XuehaiPan/380/base
2025-08-26T20:08:14.5349843Z  * [new branch]              gh/XuehaiPan/380/head       -> origin/gh/XuehaiPan/380/head
2025-08-26T20:08:14.5350437Z  * [new branch]              gh/XuehaiPan/380/orig       -> origin/gh/XuehaiPan/380/orig
2025-08-26T20:08:14.5351303Z  * [new branch]              gh/XuehaiPan/381/base       -> origin/gh/XuehaiPan/381/base
2025-08-26T20:08:14.5351758Z  * [new branch]              gh/XuehaiPan/381/head       -> origin/gh/XuehaiPan/381/head
2025-08-26T20:08:14.5352547Z  * [new branch]              gh/XuehaiPan/382/base       -> origin/gh/XuehaiPan/382/base
2025-08-26T20:08:14.5353004Z  * [new branch]              gh/XuehaiPan/382/head       -> origin/gh/XuehaiPan/382/head
2025-08-26T20:08:14.5353527Z  * [new branch]              gh/XuehaiPan/382/orig       -> origin/gh/XuehaiPan/382/orig
2025-08-26T20:08:14.5354350Z  * [new branch]              gh/XuehaiPan/383/base       -> origin/gh/XuehaiPan/383/base
2025-08-26T20:08:14.5354783Z  * [new branch]              gh/XuehaiPan/383/head       -> origin/gh/XuehaiPan/383/head
2025-08-26T20:08:14.5355320Z  * [new branch]              gh/XuehaiPan/383/orig       -> origin/gh/XuehaiPan/383/orig
2025-08-26T20:08:14.5356185Z  * [new branch]              gh/XuehaiPan/384/base       -> origin/gh/XuehaiPan/384/base
2025-08-26T20:08:14.5356649Z  * [new branch]              gh/XuehaiPan/384/head       -> origin/gh/XuehaiPan/384/head
2025-08-26T20:08:14.5357166Z  * [new branch]              gh/XuehaiPan/384/orig       -> origin/gh/XuehaiPan/384/orig
2025-08-26T20:08:14.5358310Z  * [new branch]              gh/ZhiweiYan-96/39/base     -> origin/gh/ZhiweiYan-96/39/base
2025-08-26T20:08:14.5358741Z  * [new branch]              gh/ZhiweiYan-96/39/head     -> origin/gh/ZhiweiYan-96/39/head
2025-08-26T20:08:14.5359301Z  * [new branch]              gh/ZhiweiYan-96/39/orig     -> origin/gh/ZhiweiYan-96/39/orig
2025-08-26T20:08:14.5360105Z  * [new branch]              gh/ZhiweiYan-96/44/base     -> origin/gh/ZhiweiYan-96/44/base
2025-08-26T20:08:14.5360591Z  * [new branch]              gh/ZhiweiYan-96/44/head     -> origin/gh/ZhiweiYan-96/44/head
2025-08-26T20:08:14.5361327Z  * [new branch]              gh/ZhiweiYan-96/45/base     -> origin/gh/ZhiweiYan-96/45/base
2025-08-26T20:08:14.5361734Z  * [new branch]              gh/ZhiweiYan-96/45/head     -> origin/gh/ZhiweiYan-96/45/head
2025-08-26T20:08:14.5362598Z  * [new branch]              gh/ZhiweiYan-96/49/base     -> origin/gh/ZhiweiYan-96/49/base
2025-08-26T20:08:14.5363111Z  * [new branch]              gh/ZhiweiYan-96/49/head     -> origin/gh/ZhiweiYan-96/49/head
2025-08-26T20:08:14.5363909Z  * [new branch]              gh/ZhiweiYan-96/62/base     -> origin/gh/ZhiweiYan-96/62/base
2025-08-26T20:08:14.5364351Z  * [new branch]              gh/ZhiweiYan-96/62/head     -> origin/gh/ZhiweiYan-96/62/head
2025-08-26T20:08:14.5365202Z  * [new branch]              gh/ZhiweiYan-96/64/base     -> origin/gh/ZhiweiYan-96/64/base
2025-08-26T20:08:14.5365650Z  * [new branch]              gh/ZhiweiYan-96/64/head     -> origin/gh/ZhiweiYan-96/64/head
2025-08-26T20:08:14.5367961Z  * [new branch]              gh/ZhiweiYan-96/64/orig     -> origin/gh/ZhiweiYan-96/64/orig
2025-08-26T20:08:14.5368742Z  * [new branch]              gh/ZhiweiYan-96/65/base     -> origin/gh/ZhiweiYan-96/65/base
2025-08-26T20:08:14.5369491Z  * [new branch]              gh/ZhiweiYan-96/65/head     -> origin/gh/ZhiweiYan-96/65/head
2025-08-26T20:08:14.5369954Z  * [new branch]              gh/ZhiweiYan-96/65/orig     -> origin/gh/ZhiweiYan-96/65/orig
2025-08-26T20:08:14.5370773Z  * [new branch]              gh/ZhiweiYan-96/66/base     -> origin/gh/ZhiweiYan-96/66/base
2025-08-26T20:08:14.5371250Z  * [new branch]              gh/ZhiweiYan-96/66/head     -> origin/gh/ZhiweiYan-96/66/head
2025-08-26T20:08:14.5372131Z  * [new branch]              gh/ZhiweiYan-96/67/base     -> origin/gh/ZhiweiYan-96/67/base
2025-08-26T20:08:14.5372513Z  * [new branch]              gh/ZhiweiYan-96/67/head     -> origin/gh/ZhiweiYan-96/67/head
2025-08-26T20:08:14.5373296Z  * [new branch]              gh/ZhiweiYan-96/68/base     -> origin/gh/ZhiweiYan-96/68/base
2025-08-26T20:08:14.5373668Z  * [new branch]              gh/ZhiweiYan-96/68/head     -> origin/gh/ZhiweiYan-96/68/head
2025-08-26T20:08:14.5374215Z  * [new branch]              gh/ZhiweiYan-96/68/orig     -> origin/gh/ZhiweiYan-96/68/orig
2025-08-26T20:08:14.5375294Z  * [new branch]              gh/aakhundov/1/base         -> origin/gh/aakhundov/1/base
2025-08-26T20:08:14.5375818Z  * [new branch]              gh/aakhundov/1/head         -> origin/gh/aakhundov/1/head
2025-08-26T20:08:14.5376547Z  * [new branch]              gh/aakhundov/2/base         -> origin/gh/aakhundov/2/base
2025-08-26T20:08:14.5376949Z  * [new branch]              gh/aakhundov/2/head         -> origin/gh/aakhundov/2/head
2025-08-26T20:08:14.5378269Z  * [new branch]              gh/aditew01/openblas        -> origin/gh/aditew01/openblas
2025-08-26T20:08:14.5378744Z  * [new branch]              gh/aditew01/sbgemm          -> origin/gh/aditew01/sbgemm
2025-08-26T20:08:14.5379614Z  * [new branch]              gh/aditew01/vecbf16         -> origin/gh/aditew01/vecbf16
2025-08-26T20:08:14.5380519Z  * [new branch]              gh/alexbrauckmann/paddedtensor_faketensor_init -> origin/gh/alexbrauckmann/paddedtensor_faketensor_init
2025-08-26T20:08:14.5381322Z  * [new branch]              gh/alexsamardzic/8/base     -> origin/gh/alexsamardzic/8/base
2025-08-26T20:08:14.5381811Z  * [new branch]              gh/alexsamardzic/8/head     -> origin/gh/alexsamardzic/8/head
2025-08-26T20:08:14.5382340Z  * [new branch]              gh/alexsamardzic/8/orig     -> origin/gh/alexsamardzic/8/orig
2025-08-26T20:08:14.5383381Z  * [new branch]              gh/amjames/18/base          -> origin/gh/amjames/18/base
2025-08-26T20:08:14.5383846Z  * [new branch]              gh/amjames/18/head          -> origin/gh/amjames/18/head
2025-08-26T20:08:14.5384389Z  * [new branch]              gh/amjames/18/orig          -> origin/gh/amjames/18/orig
2025-08-26T20:08:14.5385528Z  * [new branch]              gh/andrewor14/35/base       -> origin/gh/andrewor14/35/base
2025-08-26T20:08:14.5386097Z  * [new branch]              gh/andrewor14/35/head       -> origin/gh/andrewor14/35/head
2025-08-26T20:08:14.5386634Z  * [new branch]              gh/andrewor14/35/orig       -> origin/gh/andrewor14/35/orig
2025-08-26T20:08:14.5387589Z  * [new branch]              gh/andrewor14/50/base       -> origin/gh/andrewor14/50/base
2025-08-26T20:08:14.5388117Z  * [new branch]              gh/andrewor14/50/head       -> origin/gh/andrewor14/50/head
2025-08-26T20:08:14.5388686Z  * [new branch]              gh/andrewor14/50/orig       -> origin/gh/andrewor14/50/orig
2025-08-26T20:08:14.5389808Z  * [new branch]              gh/andyanwang/1/base        -> origin/gh/andyanwang/1/base
2025-08-26T20:08:14.5390378Z  * [new branch]              gh/andyanwang/1/head        -> origin/gh/andyanwang/1/head
2025-08-26T20:08:14.5390889Z  * [new branch]              gh/andyanwang/1/orig        -> origin/gh/andyanwang/1/orig
2025-08-26T20:08:14.5391865Z  * [new branch]              gh/andyanwang/13/base       -> origin/gh/andyanwang/13/base
2025-08-26T20:08:14.5392370Z  * [new branch]              gh/andyanwang/13/head       -> origin/gh/andyanwang/13/head
2025-08-26T20:08:14.5392923Z  * [new branch]              gh/andyanwang/13/orig       -> origin/gh/andyanwang/13/orig
2025-08-26T20:08:14.5393863Z  * [new branch]              gh/andyanwang/2/base        -> origin/gh/andyanwang/2/base
2025-08-26T20:08:14.5394397Z  * [new branch]              gh/andyanwang/2/head        -> origin/gh/andyanwang/2/head
2025-08-26T20:08:14.5394968Z  * [new branch]              gh/andyanwang/2/orig        -> origin/gh/andyanwang/2/orig
2025-08-26T20:08:14.5395881Z  * [new branch]              gh/andyanwang/28/base       -> origin/gh/andyanwang/28/base
2025-08-26T20:08:14.5396374Z  * [new branch]              gh/andyanwang/28/head       -> origin/gh/andyanwang/28/head
2025-08-26T20:08:14.5396900Z  * [new branch]              gh/andyanwang/28/orig       -> origin/gh/andyanwang/28/orig
2025-08-26T20:08:14.5397637Z  * [new branch]              gh/andyanwang/3/base        -> origin/gh/andyanwang/3/base
2025-08-26T20:08:14.5398122Z  * [new branch]              gh/andyanwang/3/head        -> origin/gh/andyanwang/3/head
2025-08-26T20:08:14.5398685Z  * [new branch]              gh/andyanwang/3/orig        -> origin/gh/andyanwang/3/orig
2025-08-26T20:08:14.5399661Z  * [new branch]              gh/andyanwang/30/base       -> origin/gh/andyanwang/30/base
2025-08-26T20:08:14.5400296Z  * [new branch]              gh/andyanwang/30/orig       -> origin/gh/andyanwang/30/orig
2025-08-26T20:08:14.5401139Z  * [new branch]              gh/andyanwang/31/base       -> origin/gh/andyanwang/31/base
2025-08-26T20:08:14.5401914Z  * [new branch]              gh/andyanwang/31/orig       -> origin/gh/andyanwang/31/orig
2025-08-26T20:08:14.5403033Z  * [new branch]              gh/andyanwang/32/base       -> origin/gh/andyanwang/32/base
2025-08-26T20:08:14.5403494Z  * [new branch]              gh/andyanwang/32/head       -> origin/gh/andyanwang/32/head
2025-08-26T20:08:14.5404236Z  * [new branch]              gh/andyanwang/32/orig       -> origin/gh/andyanwang/32/orig
2025-08-26T20:08:14.5405092Z  * [new branch]              gh/andyanwang/35/base       -> origin/gh/andyanwang/35/base
2025-08-26T20:08:14.5405588Z  * [new branch]              gh/andyanwang/35/head       -> origin/gh/andyanwang/35/head
2025-08-26T20:08:14.5406151Z  * [new branch]              gh/andyanwang/35/orig       -> origin/gh/andyanwang/35/orig
2025-08-26T20:08:14.5407257Z  * [new branch]              gh/andyanwang/36/base       -> origin/gh/andyanwang/36/base
2025-08-26T20:08:14.5408047Z  * [new branch]              gh/andyanwang/36/head       -> origin/gh/andyanwang/36/head
2025-08-26T20:08:14.5408593Z  * [new branch]              gh/andyanwang/36/orig       -> origin/gh/andyanwang/36/orig
2025-08-26T20:08:14.5409482Z  * [new branch]              gh/andyanwang/37/base       -> origin/gh/andyanwang/37/base
2025-08-26T20:08:14.5409938Z  * [new branch]              gh/andyanwang/37/head       -> origin/gh/andyanwang/37/head
2025-08-26T20:08:14.5410832Z  * [new branch]              gh/andyanwang/37/orig       -> origin/gh/andyanwang/37/orig
2025-08-26T20:08:14.5411572Z  * [new branch]              gh/andyanwang/38/base       -> origin/gh/andyanwang/38/base
2025-08-26T20:08:14.5412022Z  * [new branch]              gh/andyanwang/38/head       -> origin/gh/andyanwang/38/head
2025-08-26T20:08:14.5412639Z  * [new branch]              gh/andyanwang/38/orig       -> origin/gh/andyanwang/38/orig
2025-08-26T20:08:14.5413457Z  * [new branch]              gh/andyanwang/39/base       -> origin/gh/andyanwang/39/base
2025-08-26T20:08:14.5413967Z  * [new branch]              gh/andyanwang/39/head       -> origin/gh/andyanwang/39/head
2025-08-26T20:08:14.5414510Z  * [new branch]              gh/andyanwang/39/orig       -> origin/gh/andyanwang/39/orig
2025-08-26T20:08:14.5415401Z  * [new branch]              gh/andyanwang/4/base        -> origin/gh/andyanwang/4/base
2025-08-26T20:08:14.5415892Z  * [new branch]              gh/andyanwang/4/head        -> origin/gh/andyanwang/4/head
2025-08-26T20:08:14.5416461Z  * [new branch]              gh/andyanwang/4/orig        -> origin/gh/andyanwang/4/orig
2025-08-26T20:08:14.5417308Z  * [new branch]              gh/andyanwang/40/base       -> origin/gh/andyanwang/40/base
2025-08-26T20:08:14.5417786Z  * [new branch]              gh/andyanwang/40/head       -> origin/gh/andyanwang/40/head
2025-08-26T20:08:14.5418518Z  * [new branch]              gh/andyanwang/40/orig       -> origin/gh/andyanwang/40/orig
2025-08-26T20:08:14.5419436Z  * [new branch]              gh/angelayi/106/base        -> origin/gh/angelayi/106/base
2025-08-26T20:08:14.5419928Z  * [new branch]              gh/angelayi/106/head        -> origin/gh/angelayi/106/head
2025-08-26T20:08:14.5420753Z  * [new branch]              gh/angelayi/106/orig        -> origin/gh/angelayi/106/orig
2025-08-26T20:08:14.5421492Z  * [new branch]              gh/angelayi/107/base        -> origin/gh/angelayi/107/base
2025-08-26T20:08:14.5421946Z  * [new branch]              gh/angelayi/107/head        -> origin/gh/angelayi/107/head
2025-08-26T20:08:14.5422771Z  * [new branch]              gh/angelayi/108/base        -> origin/gh/angelayi/108/base
2025-08-26T20:08:14.5423226Z  * [new branch]              gh/angelayi/108/head        -> origin/gh/angelayi/108/head
2025-08-26T20:08:14.5423771Z  * [new branch]              gh/angelayi/108/orig        -> origin/gh/angelayi/108/orig
2025-08-26T20:08:14.5424619Z  * [new branch]              gh/angelayi/109/base        -> origin/gh/angelayi/109/base
2025-08-26T20:08:14.5425069Z  * [new branch]              gh/angelayi/109/head        -> origin/gh/angelayi/109/head
2025-08-26T20:08:14.5425662Z  * [new branch]              gh/angelayi/109/orig        -> origin/gh/angelayi/109/orig
2025-08-26T20:08:14.5426528Z  * [new branch]              gh/angelayi/110/base        -> origin/gh/angelayi/110/base
2025-08-26T20:08:14.5427006Z  * [new branch]              gh/angelayi/110/head        -> origin/gh/angelayi/110/head
2025-08-26T20:08:14.5427577Z  * [new branch]              gh/angelayi/110/orig        -> origin/gh/angelayi/110/orig
2025-08-26T20:08:14.5428363Z  * [new branch]              gh/angelayi/111/base        -> origin/gh/angelayi/111/base
2025-08-26T20:08:14.5428807Z  * [new branch]              gh/angelayi/111/head        -> origin/gh/angelayi/111/head
2025-08-26T20:08:14.5429322Z  * [new branch]              gh/angelayi/111/orig        -> origin/gh/angelayi/111/orig
2025-08-26T20:08:14.5430373Z  * [new branch]              gh/angelayi/112/base        -> origin/gh/angelayi/112/base
2025-08-26T20:08:14.5430889Z  * [new branch]              gh/angelayi/112/head        -> origin/gh/angelayi/112/head
2025-08-26T20:08:14.5431457Z  * [new branch]              gh/angelayi/112/orig        -> origin/gh/angelayi/112/orig
2025-08-26T20:08:14.5432335Z  * [new branch]              gh/angelayi/113/base        -> origin/gh/angelayi/113/base
2025-08-26T20:08:14.5432810Z  * [new branch]              gh/angelayi/113/head        -> origin/gh/angelayi/113/head
2025-08-26T20:08:14.5433343Z  * [new branch]              gh/angelayi/113/orig        -> origin/gh/angelayi/113/orig
2025-08-26T20:08:14.5434224Z  * [new branch]              gh/angelayi/114/base        -> origin/gh/angelayi/114/base
2025-08-26T20:08:14.5434639Z  * [new branch]              gh/angelayi/114/head        -> origin/gh/angelayi/114/head
2025-08-26T20:08:14.5435196Z  * [new branch]              gh/angelayi/114/orig        -> origin/gh/angelayi/114/orig
2025-08-26T20:08:14.5436079Z  * [new branch]              gh/angelayi/115/base        -> origin/gh/angelayi/115/base
2025-08-26T20:08:14.5436581Z  * [new branch]              gh/angelayi/115/head        -> origin/gh/angelayi/115/head
2025-08-26T20:08:14.5437105Z  * [new branch]              gh/angelayi/115/orig        -> origin/gh/angelayi/115/orig
2025-08-26T20:08:14.5438190Z  * [new branch]              gh/anijain2305/753/base     -> origin/gh/anijain2305/753/base
2025-08-26T20:08:14.5438628Z  * [new branch]              gh/anijain2305/753/head     -> origin/gh/anijain2305/753/head
2025-08-26T20:08:14.5439181Z  * [new branch]              gh/anijain2305/753/orig     -> origin/gh/anijain2305/753/orig
2025-08-26T20:08:14.5440216Z  * [new branch]              gh/anijain2305/766/base     -> origin/gh/anijain2305/766/base
2025-08-26T20:08:14.5440696Z  * [new branch]              gh/anijain2305/766/head     -> origin/gh/anijain2305/766/head
2025-08-26T20:08:14.5441321Z  * [new branch]              gh/anijain2305/766/orig     -> origin/gh/anijain2305/766/orig
2025-08-26T20:08:14.5442054Z  * [new branch]              gh/anijain2305/790/base     -> origin/gh/anijain2305/790/base
2025-08-26T20:08:14.5442538Z  * [new branch]              gh/anijain2305/790/head     -> origin/gh/anijain2305/790/head
2025-08-26T20:08:14.5443036Z  * [new branch]              gh/anijain2305/790/orig     -> origin/gh/anijain2305/790/orig
2025-08-26T20:08:14.5443840Z  * [new branch]              gh/anijain2305/792/base     -> origin/gh/anijain2305/792/base
2025-08-26T20:08:14.5444298Z  * [new branch]              gh/anijain2305/792/head     -> origin/gh/anijain2305/792/head
2025-08-26T20:08:14.5444825Z  * [new branch]              gh/anijain2305/792/orig     -> origin/gh/anijain2305/792/orig
2025-08-26T20:08:14.5445631Z  * [new branch]              gh/anijain2305/803/base     -> origin/gh/anijain2305/803/base
2025-08-26T20:08:14.5446093Z  * [new branch]              gh/anijain2305/803/head     -> origin/gh/anijain2305/803/head
2025-08-26T20:08:14.5446611Z  * [new branch]              gh/anijain2305/803/orig     -> origin/gh/anijain2305/803/orig
2025-08-26T20:08:14.5447392Z  * [new branch]              gh/anijain2305/804/base     -> origin/gh/anijain2305/804/base
2025-08-26T20:08:14.5447903Z  * [new branch]              gh/anijain2305/804/head     -> origin/gh/anijain2305/804/head
2025-08-26T20:08:14.5448694Z  * [new branch]              gh/anijain2305/804/orig     -> origin/gh/anijain2305/804/orig
2025-08-26T20:08:14.5449448Z  * [new branch]              gh/anijain2305/805/base     -> origin/gh/anijain2305/805/base
2025-08-26T20:08:14.5449884Z  * [new branch]              gh/anijain2305/805/head     -> origin/gh/anijain2305/805/head
2025-08-26T20:08:14.5450414Z  * [new branch]              gh/anijain2305/805/orig     -> origin/gh/anijain2305/805/orig
2025-08-26T20:08:14.5451469Z  * [new branch]              gh/anijain2305/810/base     -> origin/gh/anijain2305/810/base
2025-08-26T20:08:14.5451790Z  * [new branch]              gh/anijain2305/810/head     -> origin/gh/anijain2305/810/head
2025-08-26T20:08:14.5452281Z  * [new branch]              gh/anijain2305/810/orig     -> origin/gh/anijain2305/810/orig
2025-08-26T20:08:14.5453141Z  * [new branch]              gh/anijain2305/812/base     -> origin/gh/anijain2305/812/base
2025-08-26T20:08:14.5453664Z  * [new branch]              gh/anijain2305/812/head     -> origin/gh/anijain2305/812/head
2025-08-26T20:08:14.5454264Z  * [new branch]              gh/anijain2305/812/orig     -> origin/gh/anijain2305/812/orig
2025-08-26T20:08:14.5455002Z  * [new branch]              gh/anijain2305/817/base     -> origin/gh/anijain2305/817/base
2025-08-26T20:08:14.5455584Z  * [new branch]              gh/anijain2305/817/head     -> origin/gh/anijain2305/817/head
2025-08-26T20:08:14.5456380Z  * [new branch]              gh/anijain2305/817/orig     -> origin/gh/anijain2305/817/orig
2025-08-26T20:08:14.5456891Z  * [new branch]              gh/anijain2305/823/base     -> origin/gh/anijain2305/823/base
2025-08-26T20:08:14.5457450Z  * [new branch]              gh/anijain2305/823/head     -> origin/gh/anijain2305/823/head
2025-08-26T20:08:14.5458239Z  * [new branch]              gh/anijain2305/823/orig     -> origin/gh/anijain2305/823/orig
2025-08-26T20:08:14.5459015Z  * [new branch]              gh/anijain2305/829/base     -> origin/gh/anijain2305/829/base
2025-08-26T20:08:14.5459458Z  * [new branch]              gh/anijain2305/829/head     -> origin/gh/anijain2305/829/head
2025-08-26T20:08:14.5459963Z  * [new branch]              gh/anijain2305/829/orig     -> origin/gh/anijain2305/829/orig
2025-08-26T20:08:14.5460751Z  * [new branch]              gh/anijain2305/830/base     -> origin/gh/anijain2305/830/base
2025-08-26T20:08:14.5461209Z  * [new branch]              gh/anijain2305/830/head     -> origin/gh/anijain2305/830/head
2025-08-26T20:08:14.5461740Z  * [new branch]              gh/anijain2305/830/orig     -> origin/gh/anijain2305/830/orig
2025-08-26T20:08:14.5462538Z  * [new branch]              gh/anijain2305/831/base     -> origin/gh/anijain2305/831/base
2025-08-26T20:08:14.5463108Z  * [new branch]              gh/anijain2305/831/head     -> origin/gh/anijain2305/831/head
2025-08-26T20:08:14.5463941Z  * [new branch]              gh/anijain2305/831/orig     -> origin/gh/anijain2305/831/orig
2025-08-26T20:08:14.5464353Z  * [new branch]              gh/anijain2305/832/base     -> origin/gh/anijain2305/832/base
2025-08-26T20:08:14.5464875Z  * [new branch]              gh/anijain2305/832/head     -> origin/gh/anijain2305/832/head
2025-08-26T20:08:14.5465396Z  * [new branch]              gh/anijain2305/832/orig     -> origin/gh/anijain2305/832/orig
2025-08-26T20:08:14.5466286Z  * [new branch]              gh/anijain2305/833/base     -> origin/gh/anijain2305/833/base
2025-08-26T20:08:14.5466748Z  * [new branch]              gh/anijain2305/833/head     -> origin/gh/anijain2305/833/head
2025-08-26T20:08:14.5467419Z  * [new branch]              gh/anijain2305/833/orig     -> origin/gh/anijain2305/833/orig
2025-08-26T20:08:14.5468519Z  * [new branch]              gh/anijain2305/834/base     -> origin/gh/anijain2305/834/base
2025-08-26T20:08:14.5468973Z  * [new branch]              gh/anijain2305/834/head     -> origin/gh/anijain2305/834/head
2025-08-26T20:08:14.5469488Z  * [new branch]              gh/anijain2305/834/orig     -> origin/gh/anijain2305/834/orig
2025-08-26T20:08:14.5470401Z  * [new branch]              gh/anijain2305/835/base     -> origin/gh/anijain2305/835/base
2025-08-26T20:08:14.5470917Z  * [new branch]              gh/anijain2305/835/head     -> origin/gh/anijain2305/835/head
2025-08-26T20:08:14.5471465Z  * [new branch]              gh/anijain2305/835/orig     -> origin/gh/anijain2305/835/orig
2025-08-26T20:08:14.5472300Z  * [new branch]              gh/anijain2305/836/base     -> origin/gh/anijain2305/836/base
2025-08-26T20:08:14.5472774Z  * [new branch]              gh/anijain2305/836/head     -> origin/gh/anijain2305/836/head
2025-08-26T20:08:14.5473292Z  * [new branch]              gh/anijain2305/836/orig     -> origin/gh/anijain2305/836/orig
2025-08-26T20:08:14.5474147Z  * [new branch]              gh/anijain2305/837/base     -> origin/gh/anijain2305/837/base
2025-08-26T20:08:14.5474598Z  * [new branch]              gh/anijain2305/837/head     -> origin/gh/anijain2305/837/head
2025-08-26T20:08:14.5475153Z  * [new branch]              gh/anijain2305/837/orig     -> origin/gh/anijain2305/837/orig
2025-08-26T20:08:14.5475973Z  * [new branch]              gh/anijain2305/838/base     -> origin/gh/anijain2305/838/base
2025-08-26T20:08:14.5476360Z  * [new branch]              gh/anijain2305/838/head     -> origin/gh/anijain2305/838/head
2025-08-26T20:08:14.5477101Z  * [new branch]              gh/anijain2305/838/orig     -> origin/gh/anijain2305/838/orig
2025-08-26T20:08:14.5477859Z  * [new branch]              gh/anijain2305/839/base     -> origin/gh/anijain2305/839/base
2025-08-26T20:08:14.5478375Z  * [new branch]              gh/anijain2305/839/head     -> origin/gh/anijain2305/839/head
2025-08-26T20:08:14.5478876Z  * [new branch]              gh/anijain2305/839/orig     -> origin/gh/anijain2305/839/orig
2025-08-26T20:08:14.5479662Z  * [new branch]              gh/anijain2305/840/base     -> origin/gh/anijain2305/840/base
2025-08-26T20:08:14.5480121Z  * [new branch]              gh/anijain2305/840/head     -> origin/gh/anijain2305/840/head
2025-08-26T20:08:14.5480656Z  * [new branch]              gh/anijain2305/840/orig     -> origin/gh/anijain2305/840/orig
2025-08-26T20:08:14.5481491Z  * [new branch]              gh/anijain2305/841/base     -> origin/gh/anijain2305/841/base
2025-08-26T20:08:14.5481975Z  * [new branch]              gh/anijain2305/841/head     -> origin/gh/anijain2305/841/head
2025-08-26T20:08:14.5482481Z  * [new branch]              gh/anijain2305/841/orig     -> origin/gh/anijain2305/841/orig
2025-08-26T20:08:14.5483260Z  * [new branch]              gh/anijain2305/842/base     -> origin/gh/anijain2305/842/base
2025-08-26T20:08:14.5483702Z  * [new branch]              gh/anijain2305/842/head     -> origin/gh/anijain2305/842/head
2025-08-26T20:08:14.5484236Z  * [new branch]              gh/anijain2305/842/orig     -> origin/gh/anijain2305/842/orig
2025-08-26T20:08:14.5485051Z  * [new branch]              gh/anijain2305/843/base     -> origin/gh/anijain2305/843/base
2025-08-26T20:08:14.5485562Z  * [new branch]              gh/anijain2305/843/head     -> origin/gh/anijain2305/843/head
2025-08-26T20:08:14.5486299Z  * [new branch]              gh/anijain2305/843/orig     -> origin/gh/anijain2305/843/orig
2025-08-26T20:08:14.5487071Z  * [new branch]              gh/anijain2305/844/base     -> origin/gh/anijain2305/844/base
2025-08-26T20:08:14.5487505Z  * [new branch]              gh/anijain2305/844/head     -> origin/gh/anijain2305/844/head
2025-08-26T20:08:14.5487994Z  * [new branch]              gh/anijain2305/844/orig     -> origin/gh/anijain2305/844/orig
2025-08-26T20:08:14.5488857Z  * [new branch]              gh/anijain2305/845/base     -> origin/gh/anijain2305/845/base
2025-08-26T20:08:14.5489349Z  * [new branch]              gh/anijain2305/845/head     -> origin/gh/anijain2305/845/head
2025-08-26T20:08:14.5489904Z  * [new branch]              gh/anijain2305/845/orig     -> origin/gh/anijain2305/845/orig
2025-08-26T20:08:14.5490756Z  * [new branch]              gh/anijain2305/846/base     -> origin/gh/anijain2305/846/base
2025-08-26T20:08:14.5491188Z  * [new branch]              gh/anijain2305/846/head     -> origin/gh/anijain2305/846/head
2025-08-26T20:08:14.5491734Z  * [new branch]              gh/anijain2305/846/orig     -> origin/gh/anijain2305/846/orig
2025-08-26T20:08:14.5492580Z  * [new branch]              gh/anijain2305/847/base     -> origin/gh/anijain2305/847/base
2025-08-26T20:08:14.5493128Z  * [new branch]              gh/anijain2305/847/head     -> origin/gh/anijain2305/847/head
2025-08-26T20:08:14.5493673Z  * [new branch]              gh/anijain2305/847/orig     -> origin/gh/anijain2305/847/orig
2025-08-26T20:08:14.5494598Z  * [new branch]              gh/anijain2305/848/base     -> origin/gh/anijain2305/848/base
2025-08-26T20:08:14.5495196Z  * [new branch]              gh/anijain2305/848/head     -> origin/gh/anijain2305/848/head
2025-08-26T20:08:14.5495743Z  * [new branch]              gh/anijain2305/848/orig     -> origin/gh/anijain2305/848/orig
2025-08-26T20:08:14.5496577Z  * [new branch]              gh/anijain2305/849/base     -> origin/gh/anijain2305/849/base
2025-08-26T20:08:14.5497032Z  * [new branch]              gh/anijain2305/849/head     -> origin/gh/anijain2305/849/head
2025-08-26T20:08:14.5497511Z  * [new branch]              gh/anijain2305/849/orig     -> origin/gh/anijain2305/849/orig
2025-08-26T20:08:14.5498314Z  * [new branch]              gh/anijain2305/850/base     -> origin/gh/anijain2305/850/base
2025-08-26T20:08:14.5498790Z  * [new branch]              gh/anijain2305/850/head     -> origin/gh/anijain2305/850/head
2025-08-26T20:08:14.5499303Z  * [new branch]              gh/anijain2305/850/orig     -> origin/gh/anijain2305/850/orig
2025-08-26T20:08:14.5500138Z  * [new branch]              gh/anijain2305/851/base     -> origin/gh/anijain2305/851/base
2025-08-26T20:08:14.5500660Z  * [new branch]              gh/anijain2305/851/head     -> origin/gh/anijain2305/851/head
2025-08-26T20:08:14.5501256Z  * [new branch]              gh/anijain2305/851/orig     -> origin/gh/anijain2305/851/orig
2025-08-26T20:08:14.5502119Z  * [new branch]              gh/anijain2305/852/base     -> origin/gh/anijain2305/852/base
2025-08-26T20:08:14.5502604Z  * [new branch]              gh/anijain2305/852/head     -> origin/gh/anijain2305/852/head
2025-08-26T20:08:14.5503136Z  * [new branch]              gh/anijain2305/852/orig     -> origin/gh/anijain2305/852/orig
2025-08-26T20:08:14.5503902Z  * [new branch]              gh/anijain2305/853/base     -> origin/gh/anijain2305/853/base
2025-08-26T20:08:14.5504433Z  * [new branch]              gh/anijain2305/853/head     -> origin/gh/anijain2305/853/head
2025-08-26T20:08:14.5504937Z  * [new branch]              gh/anijain2305/853/orig     -> origin/gh/anijain2305/853/orig
2025-08-26T20:08:14.5505912Z  * [new branch]              gh/anijain2305/854/base     -> origin/gh/anijain2305/854/base
2025-08-26T20:08:14.5506296Z  * [new branch]              gh/anijain2305/854/head     -> origin/gh/anijain2305/854/head
2025-08-26T20:08:14.5506836Z  * [new branch]              gh/anijain2305/854/orig     -> origin/gh/anijain2305/854/orig
2025-08-26T20:08:14.5507695Z  * [new branch]              gh/anijain2305/855/base     -> origin/gh/anijain2305/855/base
2025-08-26T20:08:14.5508325Z  * [new branch]              gh/anijain2305/855/head     -> origin/gh/anijain2305/855/head
2025-08-26T20:08:14.5508837Z  * [new branch]              gh/anijain2305/855/orig     -> origin/gh/anijain2305/855/orig
2025-08-26T20:08:14.5509669Z  * [new branch]              gh/anijain2305/856/base     -> origin/gh/anijain2305/856/base
2025-08-26T20:08:14.5510131Z  * [new branch]              gh/anijain2305/856/head     -> origin/gh/anijain2305/856/head
2025-08-26T20:08:14.5510678Z  * [new branch]              gh/anijain2305/856/orig     -> origin/gh/anijain2305/856/orig
2025-08-26T20:08:14.5511443Z  * [new branch]              gh/anijain2305/857/base     -> origin/gh/anijain2305/857/base
2025-08-26T20:08:14.5511910Z  * [new branch]              gh/anijain2305/857/head     -> origin/gh/anijain2305/857/head
2025-08-26T20:08:14.5512482Z  * [new branch]              gh/anijain2305/857/orig     -> origin/gh/anijain2305/857/orig
2025-08-26T20:08:14.5513252Z  * [new branch]              gh/anijain2305/858/base     -> origin/gh/anijain2305/858/base
2025-08-26T20:08:14.5513939Z  * [new branch]              gh/anijain2305/858/head     -> origin/gh/anijain2305/858/head
2025-08-26T20:08:14.5514386Z  * [new branch]              gh/anijain2305/858/orig     -> origin/gh/anijain2305/858/orig
2025-08-26T20:08:14.5515263Z  * [new branch]              gh/anijain2305/859/base     -> origin/gh/anijain2305/859/base
2025-08-26T20:08:14.5515863Z  * [new branch]              gh/anijain2305/859/head     -> origin/gh/anijain2305/859/head
2025-08-26T20:08:14.5516297Z  * [new branch]              gh/anijain2305/859/orig     -> origin/gh/anijain2305/859/orig
2025-08-26T20:08:14.5517466Z  * [new branch]              gh/anjali411/216/base       -> origin/gh/anjali411/216/base
2025-08-26T20:08:14.5518068Z  * [new branch]              gh/anjali411/216/head       -> origin/gh/anjali411/216/head
2025-08-26T20:08:14.5518476Z  * [new branch]              gh/anjali411/216/orig       -> origin/gh/anjali411/216/orig
2025-08-26T20:08:14.5519498Z  * [new branch]              gh/ankitageorge/13/base     -> origin/gh/ankitageorge/13/base
2025-08-26T20:08:14.5520114Z  * [new branch]              gh/ankitageorge/13/head     -> origin/gh/ankitageorge/13/head
2025-08-26T20:08:14.5520556Z  * [new branch]              gh/ankitageorge/13/orig     -> origin/gh/ankitageorge/13/orig
2025-08-26T20:08:14.5521515Z  * [new branch]              gh/ankitageorge/14/base     -> origin/gh/ankitageorge/14/base
2025-08-26T20:08:14.5521941Z  * [new branch]              gh/ankitageorge/14/head     -> origin/gh/ankitageorge/14/head
2025-08-26T20:08:14.5522692Z  * [new branch]              gh/ankitageorge/14/orig     -> origin/gh/ankitageorge/14/orig
2025-08-26T20:08:14.5523523Z  * [new branch]              gh/ankitageorge/15/base     -> origin/gh/ankitageorge/15/base
2025-08-26T20:08:14.5524187Z  * [new branch]              gh/ankitageorge/15/head     -> origin/gh/ankitageorge/15/head
2025-08-26T20:08:14.5524754Z  * [new branch]              gh/ankitageorge/15/orig     -> origin/gh/ankitageorge/15/orig
2025-08-26T20:08:14.5525547Z  * [new branch]              gh/ankitageorge/16/base     -> origin/gh/ankitageorge/16/base
2025-08-26T20:08:14.5526151Z  * [new branch]              gh/ankitageorge/16/head     -> origin/gh/ankitageorge/16/head
2025-08-26T20:08:14.5526722Z  * [new branch]              gh/ankitageorge/16/orig     -> origin/gh/ankitageorge/16/orig
2025-08-26T20:08:14.5527662Z  * [new branch]              gh/ankitageorge/17/base     -> origin/gh/ankitageorge/17/base
2025-08-26T20:08:14.5528099Z  * [new branch]              gh/ankitageorge/17/head     -> origin/gh/ankitageorge/17/head
2025-08-26T20:08:14.5528698Z  * [new branch]              gh/ankitageorge/17/orig     -> origin/gh/ankitageorge/17/orig
2025-08-26T20:08:14.5529572Z  * [new branch]              gh/ankitageorge/18/base     -> origin/gh/ankitageorge/18/base
2025-08-26T20:08:14.5530145Z  * [new branch]              gh/ankitageorge/18/head     -> origin/gh/ankitageorge/18/head
2025-08-26T20:08:14.5530715Z  * [new branch]              gh/ankitageorge/18/orig     -> origin/gh/ankitageorge/18/orig
2025-08-26T20:08:14.5531587Z  * [new branch]              gh/ankitageorge/19/base     -> origin/gh/ankitageorge/19/base
2025-08-26T20:08:14.5532147Z  * [new branch]              gh/ankitageorge/19/head     -> origin/gh/ankitageorge/19/head
2025-08-26T20:08:14.5532628Z  * [new branch]              gh/ankitageorge/19/orig     -> origin/gh/ankitageorge/19/orig
2025-08-26T20:08:14.5533575Z  * [new branch]              gh/ankitageorge/20/base     -> origin/gh/ankitageorge/20/base
2025-08-26T20:08:14.5534318Z  * [new branch]              gh/ankitageorge/20/head     -> origin/gh/ankitageorge/20/head
2025-08-26T20:08:14.5534876Z  * [new branch]              gh/ankitageorge/20/orig     -> origin/gh/ankitageorge/20/orig
2025-08-26T20:08:14.5535755Z  * [new branch]              gh/ankitageorge/21/base     -> origin/gh/ankitageorge/21/base
2025-08-26T20:08:14.5536150Z  * [new branch]              gh/ankitageorge/21/head     -> origin/gh/ankitageorge/21/head
2025-08-26T20:08:14.5536776Z  * [new branch]              gh/ankitageorge/21/orig     -> origin/gh/ankitageorge/21/orig
2025-08-26T20:08:14.5537896Z  * [new branch]              gh/anshul-si/1/base         -> origin/gh/anshul-si/1/base
2025-08-26T20:08:14.5538379Z  * [new branch]              gh/anshul-si/1/head         -> origin/gh/anshul-si/1/head
2025-08-26T20:08:14.5539571Z  * [new branch]              gh/anshul-si/10/base        -> origin/gh/anshul-si/10/base
2025-08-26T20:08:14.5539992Z  * [new branch]              gh/anshul-si/10/head        -> origin/gh/anshul-si/10/head
2025-08-26T20:08:14.5540612Z  * [new branch]              gh/anshul-si/10/orig        -> origin/gh/anshul-si/10/orig
2025-08-26T20:08:14.5541551Z  * [new branch]              gh/anshul-si/11/base        -> origin/gh/anshul-si/11/base
2025-08-26T20:08:14.5542008Z  * [new branch]              gh/anshul-si/11/head        -> origin/gh/anshul-si/11/head
2025-08-26T20:08:14.5542658Z  * [new branch]              gh/anshul-si/11/orig        -> origin/gh/anshul-si/11/orig
2025-08-26T20:08:14.5543351Z  * [new branch]              gh/anshul-si/12/base        -> origin/gh/anshul-si/12/base
2025-08-26T20:08:14.5544073Z  * [new branch]              gh/anshul-si/12/head        -> origin/gh/anshul-si/12/head
2025-08-26T20:08:14.5544627Z  * [new branch]              gh/anshul-si/12/orig        -> origin/gh/anshul-si/12/orig
2025-08-26T20:08:14.5545421Z  * [new branch]              gh/anshul-si/13/base        -> origin/gh/anshul-si/13/base
2025-08-26T20:08:14.5545858Z  * [new branch]              gh/anshul-si/13/head        -> origin/gh/anshul-si/13/head
2025-08-26T20:08:14.5546499Z  * [new branch]              gh/anshul-si/13/orig        -> origin/gh/anshul-si/13/orig
2025-08-26T20:08:14.5547338Z  * [new branch]              gh/anshul-si/14/base        -> origin/gh/anshul-si/14/base
2025-08-26T20:08:14.5547781Z  * [new branch]              gh/anshul-si/14/head        -> origin/gh/anshul-si/14/head
2025-08-26T20:08:14.5548375Z  * [new branch]              gh/anshul-si/14/orig        -> origin/gh/anshul-si/14/orig
2025-08-26T20:08:14.5549047Z  * [new branch]              gh/anshul-si/15/base        -> origin/gh/anshul-si/15/base
2025-08-26T20:08:14.5549479Z  * [new branch]              gh/anshul-si/15/head        -> origin/gh/anshul-si/15/head
2025-08-26T20:08:14.5550072Z  * [new branch]              gh/anshul-si/15/orig        -> origin/gh/anshul-si/15/orig
2025-08-26T20:08:14.5550944Z  * [new branch]              gh/anshul-si/16/base        -> origin/gh/anshul-si/16/base
2025-08-26T20:08:14.5551336Z  * [new branch]              gh/anshul-si/16/head        -> origin/gh/anshul-si/16/head
2025-08-26T20:08:14.5551958Z  * [new branch]              gh/anshul-si/16/orig        -> origin/gh/anshul-si/16/orig
2025-08-26T20:08:14.5552827Z  * [new branch]              gh/anshul-si/17/base        -> origin/gh/anshul-si/17/base
2025-08-26T20:08:14.5553456Z  * [new branch]              gh/anshul-si/17/head        -> origin/gh/anshul-si/17/head
2025-08-26T20:08:14.5553935Z  * [new branch]              gh/anshul-si/17/orig        -> origin/gh/anshul-si/17/orig
2025-08-26T20:08:14.5554956Z  * [new branch]              gh/anshul-si/18/base        -> origin/gh/anshul-si/18/base
2025-08-26T20:08:14.5555534Z  * [new branch]              gh/anshul-si/18/head        -> origin/gh/anshul-si/18/head
2025-08-26T20:08:14.5556007Z  * [new branch]              gh/anshul-si/18/orig        -> origin/gh/anshul-si/18/orig
2025-08-26T20:08:14.5556896Z  * [new branch]              gh/anshul-si/19/base        -> origin/gh/anshul-si/19/base
2025-08-26T20:08:14.5557526Z  * [new branch]              gh/anshul-si/19/head        -> origin/gh/anshul-si/19/head
2025-08-26T20:08:14.5558105Z  * [new branch]              gh/anshul-si/19/orig        -> origin/gh/anshul-si/19/orig
2025-08-26T20:08:14.5558781Z  * [new branch]              gh/anshul-si/2/base         -> origin/gh/anshul-si/2/base
2025-08-26T20:08:14.5559182Z  * [new branch]              gh/anshul-si/2/head         -> origin/gh/anshul-si/2/head
2025-08-26T20:08:14.5559985Z  * [new branch]              gh/anshul-si/20/base        -> origin/gh/anshul-si/20/base
2025-08-26T20:08:14.5560418Z  * [new branch]              gh/anshul-si/20/head        -> origin/gh/anshul-si/20/head
2025-08-26T20:08:14.5561007Z  * [new branch]              gh/anshul-si/20/orig        -> origin/gh/anshul-si/20/orig
2025-08-26T20:08:14.5561789Z  * [new branch]              gh/anshul-si/21/base        -> origin/gh/anshul-si/21/base
2025-08-26T20:08:14.5562193Z  * [new branch]              gh/anshul-si/21/head        -> origin/gh/anshul-si/21/head
2025-08-26T20:08:14.5562924Z  * [new branch]              gh/anshul-si/21/orig        -> origin/gh/anshul-si/21/orig
2025-08-26T20:08:14.5563734Z  * [new branch]              gh/anshul-si/22/base        -> origin/gh/anshul-si/22/base
2025-08-26T20:08:14.5564304Z  * [new branch]              gh/anshul-si/22/head        -> origin/gh/anshul-si/22/head
2025-08-26T20:08:14.5564927Z  * [new branch]              gh/anshul-si/22/orig        -> origin/gh/anshul-si/22/orig
2025-08-26T20:08:14.5565651Z  * [new branch]              gh/anshul-si/23/base        -> origin/gh/anshul-si/23/base
2025-08-26T20:08:14.5569476Z  * [new branch]              gh/anshul-si/23/head        -> origin/gh/anshul-si/23/head
2025-08-26T20:08:14.5570040Z  * [new branch]              gh/anshul-si/23/orig        -> origin/gh/anshul-si/23/orig
2025-08-26T20:08:14.5570833Z  * [new branch]              gh/anshul-si/24/base        -> origin/gh/anshul-si/24/base
2025-08-26T20:08:14.5571434Z  * [new branch]              gh/anshul-si/24/head        -> origin/gh/anshul-si/24/head
2025-08-26T20:08:14.5571986Z  * [new branch]              gh/anshul-si/24/orig        -> origin/gh/anshul-si/24/orig
2025-08-26T20:08:14.5572887Z  * [new branch]              gh/anshul-si/25/base        -> origin/gh/anshul-si/25/base
2025-08-26T20:08:14.5573331Z  * [new branch]              gh/anshul-si/25/head        -> origin/gh/anshul-si/25/head
2025-08-26T20:08:14.5573927Z  * [new branch]              gh/anshul-si/25/orig        -> origin/gh/anshul-si/25/orig
2025-08-26T20:08:14.5574900Z  * [new branch]              gh/anshul-si/26/base        -> origin/gh/anshul-si/26/base
2025-08-26T20:08:14.5575451Z  * [new branch]              gh/anshul-si/26/head        -> origin/gh/anshul-si/26/head
2025-08-26T20:08:14.5576108Z  * [new branch]              gh/anshul-si/26/orig        -> origin/gh/anshul-si/26/orig
2025-08-26T20:08:14.5576795Z  * [new branch]              gh/anshul-si/27/base        -> origin/gh/anshul-si/27/base
2025-08-26T20:08:14.5578806Z  * [new branch]              gh/anshul-si/27/head        -> origin/gh/anshul-si/27/head
2025-08-26T20:08:14.5578948Z  * [new branch]              gh/anshul-si/27/orig        -> origin/gh/anshul-si/27/orig
2025-08-26T20:08:14.5579071Z  * [new branch]              gh/anshul-si/28/base        -> origin/gh/anshul-si/28/base
2025-08-26T20:08:14.5579459Z  * [new branch]              gh/anshul-si/28/head        -> origin/gh/anshul-si/28/head
2025-08-26T20:08:14.5579619Z  * [new branch]              gh/anshul-si/28/orig        -> origin/gh/anshul-si/28/orig
2025-08-26T20:08:14.5580680Z  * [new branch]              gh/anshul-si/3/base         -> origin/gh/anshul-si/3/base
2025-08-26T20:08:14.5580872Z  * [new branch]              gh/anshul-si/3/head         -> origin/gh/anshul-si/3/head
2025-08-26T20:08:14.5581476Z  * [new branch]              gh/anshul-si/4/base         -> origin/gh/anshul-si/4/base
2025-08-26T20:08:14.5581986Z  * [new branch]              gh/anshul-si/4/head         -> origin/gh/anshul-si/4/head
2025-08-26T20:08:14.5582678Z  * [new branch]              gh/anshul-si/5/base         -> origin/gh/anshul-si/5/base
2025-08-26T20:08:14.5583122Z  * [new branch]              gh/anshul-si/5/head         -> origin/gh/anshul-si/5/head
2025-08-26T20:08:14.5583917Z  * [new branch]              gh/anshul-si/7/base         -> origin/gh/anshul-si/7/base
2025-08-26T20:08:14.5584582Z  * [new branch]              gh/anshul-si/7/head         -> origin/gh/anshul-si/7/head
2025-08-26T20:08:14.5585308Z  * [new branch]              gh/anshul-si/7/orig         -> origin/gh/anshul-si/7/orig
2025-08-26T20:08:14.5586048Z  * [new branch]              gh/anshul-si/8/base         -> origin/gh/anshul-si/8/base
2025-08-26T20:08:14.5586638Z  * [new branch]              gh/anshul-si/8/head         -> origin/gh/anshul-si/8/head
2025-08-26T20:08:14.5587201Z  * [new branch]              gh/anshul-si/8/orig         -> origin/gh/anshul-si/8/orig
2025-08-26T20:08:14.5588153Z  * [new branch]              gh/anshul-si/9/base         -> origin/gh/anshul-si/9/base
2025-08-26T20:08:14.5588826Z  * [new branch]              gh/anshul-si/9/head         -> origin/gh/anshul-si/9/head
2025-08-26T20:08:14.5589257Z  * [new branch]              gh/anshul-si/9/orig         -> origin/gh/anshul-si/9/orig
2025-08-26T20:08:14.5590395Z  * [new branch]              gh/aorenste/132/base        -> origin/gh/aorenste/132/base
2025-08-26T20:08:14.5590922Z  * [new branch]              gh/aorenste/132/head        -> origin/gh/aorenste/132/head
2025-08-26T20:08:14.5591671Z  * [new branch]              gh/aorenste/237/base        -> origin/gh/aorenste/237/base
2025-08-26T20:08:14.5592240Z  * [new branch]              gh/aorenste/237/head        -> origin/gh/aorenste/237/head
2025-08-26T20:08:14.5592652Z  * [new branch]              gh/aorenste/237/orig        -> origin/gh/aorenste/237/orig
2025-08-26T20:08:14.5593490Z  * [new branch]              gh/aorenste/238/base        -> origin/gh/aorenste/238/base
2025-08-26T20:08:14.5593942Z  * [new branch]              gh/aorenste/238/head        -> origin/gh/aorenste/238/head
2025-08-26T20:08:14.5594678Z  * [new branch]              gh/aorenste/238/orig        -> origin/gh/aorenste/238/orig
2025-08-26T20:08:14.5595800Z  * [new branch]              gh/bdhirsh/650/base         -> origin/gh/bdhirsh/650/base
2025-08-26T20:08:14.5596452Z  * [new branch]              gh/bdhirsh/650/head         -> origin/gh/bdhirsh/650/head
2025-08-26T20:08:14.5597024Z  * [new branch]              gh/bdhirsh/650/orig         -> origin/gh/bdhirsh/650/orig
2025-08-26T20:08:14.5598106Z  * [new branch]              gh/bdhirsh/656/base         -> origin/gh/bdhirsh/656/base
2025-08-26T20:08:14.5598287Z  * [new branch]              gh/bdhirsh/656/head         -> origin/gh/bdhirsh/656/head
2025-08-26T20:08:14.5599091Z  * [new branch]              gh/bdhirsh/657/base         -> origin/gh/bdhirsh/657/base
2025-08-26T20:08:14.5599485Z  * [new branch]              gh/bdhirsh/657/head         -> origin/gh/bdhirsh/657/head
2025-08-26T20:08:14.5600306Z  * [new branch]              gh/bdhirsh/663/base         -> origin/gh/bdhirsh/663/base
2025-08-26T20:08:14.5600932Z  * [new branch]              gh/bdhirsh/663/head         -> origin/gh/bdhirsh/663/head
2025-08-26T20:08:14.5601354Z  * [new branch]              gh/bdhirsh/663/orig         -> origin/gh/bdhirsh/663/orig
2025-08-26T20:08:14.5602361Z  * [new branch]              gh/bdhirsh/665/base         -> origin/gh/bdhirsh/665/base
2025-08-26T20:08:14.5602920Z  * [new branch]              gh/bdhirsh/665/head         -> origin/gh/bdhirsh/665/head
2025-08-26T20:08:14.5603341Z  * [new branch]              gh/bdhirsh/665/orig         -> origin/gh/bdhirsh/665/orig
2025-08-26T20:08:14.5604401Z  * [new branch]              gh/bdhirsh/666/base         -> origin/gh/bdhirsh/666/base
2025-08-26T20:08:14.5605154Z  * [new branch]              gh/bdhirsh/666/head         -> origin/gh/bdhirsh/666/head
2025-08-26T20:08:14.5605711Z  * [new branch]              gh/bdhirsh/666/orig         -> origin/gh/bdhirsh/666/orig
2025-08-26T20:08:14.5606677Z  * [new branch]              gh/bdhirsh/667/base         -> origin/gh/bdhirsh/667/base
2025-08-26T20:08:14.5607204Z  * [new branch]              gh/bdhirsh/667/head         -> origin/gh/bdhirsh/667/head
2025-08-26T20:08:14.5607753Z  * [new branch]              gh/bdhirsh/667/orig         -> origin/gh/bdhirsh/667/orig
2025-08-26T20:08:14.5608519Z  * [new branch]              gh/bdhirsh/668/base         -> origin/gh/bdhirsh/668/base
2025-08-26T20:08:14.5608935Z  * [new branch]              gh/bdhirsh/668/head         -> origin/gh/bdhirsh/668/head
2025-08-26T20:08:14.5609536Z  * [new branch]              gh/bdhirsh/668/orig         -> origin/gh/bdhirsh/668/orig
2025-08-26T20:08:14.5610627Z  * [new branch]              gh/benjaminglass1/100/base  -> origin/gh/benjaminglass1/100/base
2025-08-26T20:08:14.5611080Z  * [new branch]              gh/benjaminglass1/100/head  -> origin/gh/benjaminglass1/100/head
2025-08-26T20:08:14.5611741Z  * [new branch]              gh/benjaminglass1/100/orig  -> origin/gh/benjaminglass1/100/orig
2025-08-26T20:08:14.5612518Z  * [new branch]              gh/benjaminglass1/101/base  -> origin/gh/benjaminglass1/101/base
2025-08-26T20:08:14.5612977Z  * [new branch]              gh/benjaminglass1/101/head  -> origin/gh/benjaminglass1/101/head
2025-08-26T20:08:14.5613627Z  * [new branch]              gh/benjaminglass1/101/orig  -> origin/gh/benjaminglass1/101/orig
2025-08-26T20:08:14.5614432Z  * [new branch]              gh/benjaminglass1/102/base  -> origin/gh/benjaminglass1/102/base
2025-08-26T20:08:14.5615037Z  * [new branch]              gh/benjaminglass1/102/head  -> origin/gh/benjaminglass1/102/head
2025-08-26T20:08:14.5615636Z  * [new branch]              gh/benjaminglass1/102/orig  -> origin/gh/benjaminglass1/102/orig
2025-08-26T20:08:14.5616325Z  * [new branch]              gh/benjaminglass1/103/base  -> origin/gh/benjaminglass1/103/base
2025-08-26T20:08:14.5616778Z  * [new branch]              gh/benjaminglass1/103/head  -> origin/gh/benjaminglass1/103/head
2025-08-26T20:08:14.5617397Z  * [new branch]              gh/benjaminglass1/103/orig  -> origin/gh/benjaminglass1/103/orig
2025-08-26T20:08:14.5618251Z  * [new branch]              gh/benjaminglass1/79/base   -> origin/gh/benjaminglass1/79/base
2025-08-26T20:08:14.5618704Z  * [new branch]              gh/benjaminglass1/79/head   -> origin/gh/benjaminglass1/79/head
2025-08-26T20:08:14.5619326Z  * [new branch]              gh/benjaminglass1/79/orig   -> origin/gh/benjaminglass1/79/orig
2025-08-26T20:08:14.5620081Z  * [new branch]              gh/benjaminglass1/86/base   -> origin/gh/benjaminglass1/86/base
2025-08-26T20:08:14.5620512Z  * [new branch]              gh/benjaminglass1/86/head   -> origin/gh/benjaminglass1/86/head
2025-08-26T20:08:14.5621182Z  * [new branch]              gh/benjaminglass1/86/orig   -> origin/gh/benjaminglass1/86/orig
2025-08-26T20:08:14.5621885Z  * [new branch]              gh/benjaminglass1/89/base   -> origin/gh/benjaminglass1/89/base
2025-08-26T20:08:14.5622330Z  * [new branch]              gh/benjaminglass1/89/head   -> origin/gh/benjaminglass1/89/head
2025-08-26T20:08:14.5622969Z  * [new branch]              gh/benjaminglass1/89/orig   -> origin/gh/benjaminglass1/89/orig
2025-08-26T20:08:14.5623674Z  * [new branch]              gh/benjaminglass1/91/base   -> origin/gh/benjaminglass1/91/base
2025-08-26T20:08:14.5624286Z  * [new branch]              gh/benjaminglass1/91/head   -> origin/gh/benjaminglass1/91/head
2025-08-26T20:08:14.5624928Z  * [new branch]              gh/benjaminglass1/91/orig   -> origin/gh/benjaminglass1/91/orig
2025-08-26T20:08:14.5625669Z  * [new branch]              gh/benjaminglass1/93/base   -> origin/gh/benjaminglass1/93/base
2025-08-26T20:08:14.5626116Z  * [new branch]              gh/benjaminglass1/93/head   -> origin/gh/benjaminglass1/93/head
2025-08-26T20:08:14.5626759Z  * [new branch]              gh/benjaminglass1/93/orig   -> origin/gh/benjaminglass1/93/orig
2025-08-26T20:08:14.5627505Z  * [new branch]              gh/benjaminglass1/95/base   -> origin/gh/benjaminglass1/95/base
2025-08-26T20:08:14.5628121Z  * [new branch]              gh/benjaminglass1/95/head   -> origin/gh/benjaminglass1/95/head
2025-08-26T20:08:14.5628480Z  * [new branch]              gh/benjaminglass1/95/orig   -> origin/gh/benjaminglass1/95/orig
2025-08-26T20:08:14.5629340Z  * [new branch]              gh/benjaminglass1/97/base   -> origin/gh/benjaminglass1/97/base
2025-08-26T20:08:14.5629763Z  * [new branch]              gh/benjaminglass1/97/head   -> origin/gh/benjaminglass1/97/head
2025-08-26T20:08:14.5630367Z  * [new branch]              gh/benjaminglass1/97/orig   -> origin/gh/benjaminglass1/97/orig
2025-08-26T20:08:14.5631127Z  * [new branch]              gh/benjaminglass1/98/base   -> origin/gh/benjaminglass1/98/base
2025-08-26T20:08:14.5631585Z  * [new branch]              gh/benjaminglass1/98/head   -> origin/gh/benjaminglass1/98/head
2025-08-26T20:08:14.5632188Z  * [new branch]              gh/benjaminglass1/98/orig   -> origin/gh/benjaminglass1/98/orig
2025-08-26T20:08:14.5633045Z  * [new branch]              gh/benjaminglass1/99/base   -> origin/gh/benjaminglass1/99/base
2025-08-26T20:08:14.5633716Z  * [new branch]              gh/benjaminglass1/99/head   -> origin/gh/benjaminglass1/99/head
2025-08-26T20:08:14.5634286Z  * [new branch]              gh/benjaminglass1/99/orig   -> origin/gh/benjaminglass1/99/orig
2025-08-26T20:08:14.5635291Z  * [new branch]              gh/bobrenjc93/514/base      -> origin/gh/bobrenjc93/514/base
2025-08-26T20:08:14.5635725Z  * [new branch]              gh/bobrenjc93/514/head      -> origin/gh/bobrenjc93/514/head
2025-08-26T20:08:14.5636328Z  * [new branch]              gh/bobrenjc93/514/orig      -> origin/gh/bobrenjc93/514/orig
2025-08-26T20:08:14.5637019Z  * [new branch]              gh/bobrenjc93/521/base      -> origin/gh/bobrenjc93/521/base
2025-08-26T20:08:14.5637471Z  * [new branch]              gh/bobrenjc93/521/head      -> origin/gh/bobrenjc93/521/head
2025-08-26T20:08:14.5638066Z  * [new branch]              gh/bobrenjc93/521/orig      -> origin/gh/bobrenjc93/521/orig
2025-08-26T20:08:14.5638830Z  * [new branch]              gh/bobrenjc93/522/base      -> origin/gh/bobrenjc93/522/base
2025-08-26T20:08:14.5639256Z  * [new branch]              gh/bobrenjc93/522/head      -> origin/gh/bobrenjc93/522/head
2025-08-26T20:08:14.5639940Z  * [new branch]              gh/bobrenjc93/522/orig      -> origin/gh/bobrenjc93/522/orig
2025-08-26T20:08:14.5640622Z  * [new branch]              gh/bobrenjc93/525/base      -> origin/gh/bobrenjc93/525/base
2025-08-26T20:08:14.5641200Z  * [new branch]              gh/bobrenjc93/525/head      -> origin/gh/bobrenjc93/525/head
2025-08-26T20:08:14.5641631Z  * [new branch]              gh/bobrenjc93/525/orig      -> origin/gh/bobrenjc93/525/orig
2025-08-26T20:08:14.5642568Z  * [new branch]              gh/bobrenjc93/526/base      -> origin/gh/bobrenjc93/526/base
2025-08-26T20:08:14.5643021Z  * [new branch]              gh/bobrenjc93/526/head      -> origin/gh/bobrenjc93/526/head
2025-08-26T20:08:14.5643627Z  * [new branch]              gh/bobrenjc93/526/orig      -> origin/gh/bobrenjc93/526/orig
2025-08-26T20:08:14.5644369Z  * [new branch]              gh/bobrenjc93/527/base      -> origin/gh/bobrenjc93/527/base
2025-08-26T20:08:14.5644816Z  * [new branch]              gh/bobrenjc93/527/head      -> origin/gh/bobrenjc93/527/head
2025-08-26T20:08:14.5645420Z  * [new branch]              gh/bobrenjc93/527/orig      -> origin/gh/bobrenjc93/527/orig
2025-08-26T20:08:14.5646127Z  * [new branch]              gh/bobrenjc93/528/base      -> origin/gh/bobrenjc93/528/base
2025-08-26T20:08:14.5646587Z  * [new branch]              gh/bobrenjc93/528/head      -> origin/gh/bobrenjc93/528/head
2025-08-26T20:08:14.5647261Z  * [new branch]              gh/bobrenjc93/528/orig      -> origin/gh/bobrenjc93/528/orig
2025-08-26T20:08:14.5647911Z  * [new branch]              gh/bobrenjc93/529/base      -> origin/gh/bobrenjc93/529/base
2025-08-26T20:08:14.5648504Z  * [new branch]              gh/bobrenjc93/529/head      -> origin/gh/bobrenjc93/529/head
2025-08-26T20:08:14.5648963Z  * [new branch]              gh/bobrenjc93/529/orig      -> origin/gh/bobrenjc93/529/orig
2025-08-26T20:08:14.5649736Z  * [new branch]              gh/bobrenjc93/535/base      -> origin/gh/bobrenjc93/535/base
2025-08-26T20:08:14.5650174Z  * [new branch]              gh/bobrenjc93/535/head      -> origin/gh/bobrenjc93/535/head
2025-08-26T20:08:14.5650766Z  * [new branch]              gh/bobrenjc93/535/orig      -> origin/gh/bobrenjc93/535/orig
2025-08-26T20:08:14.5651868Z  * [new branch]              gh/bobrenjc93/537/base      -> origin/gh/bobrenjc93/537/base
2025-08-26T20:08:14.5652192Z  * [new branch]              gh/bobrenjc93/537/head      -> origin/gh/bobrenjc93/537/head
2025-08-26T20:08:14.5652769Z  * [new branch]              gh/bobrenjc93/537/orig      -> origin/gh/bobrenjc93/537/orig
2025-08-26T20:08:14.5653475Z  * [new branch]              gh/bobrenjc93/538/base      -> origin/gh/bobrenjc93/538/base
2025-08-26T20:08:14.5653909Z  * [new branch]              gh/bobrenjc93/538/head      -> origin/gh/bobrenjc93/538/head
2025-08-26T20:08:14.5654581Z  * [new branch]              gh/bobrenjc93/538/orig      -> origin/gh/bobrenjc93/538/orig
2025-08-26T20:08:14.5655485Z  * [new branch]              gh/bobrenjc93/539/base      -> origin/gh/bobrenjc93/539/base
2025-08-26T20:08:14.5656071Z  * [new branch]              gh/bobrenjc93/539/head      -> origin/gh/bobrenjc93/539/head
2025-08-26T20:08:14.5656580Z  * [new branch]              gh/bobrenjc93/539/orig      -> origin/gh/bobrenjc93/539/orig
2025-08-26T20:08:14.5657350Z  * [new branch]              gh/bobrenjc93/540/base      -> origin/gh/bobrenjc93/540/base
2025-08-26T20:08:14.5657925Z  * [new branch]              gh/bobrenjc93/540/head      -> origin/gh/bobrenjc93/540/head
2025-08-26T20:08:14.5658540Z  * [new branch]              gh/bobrenjc93/540/orig      -> origin/gh/bobrenjc93/540/orig
2025-08-26T20:08:14.5659270Z  * [new branch]              gh/bobrenjc93/541/base      -> origin/gh/bobrenjc93/541/base
2025-08-26T20:08:14.5659716Z  * [new branch]              gh/bobrenjc93/541/head      -> origin/gh/bobrenjc93/541/head
2025-08-26T20:08:14.5660315Z  * [new branch]              gh/bobrenjc93/541/orig      -> origin/gh/bobrenjc93/541/orig
2025-08-26T20:08:14.5661166Z  * [new branch]              gh/bobrenjc93/542/base      -> origin/gh/bobrenjc93/542/base
2025-08-26T20:08:14.5661607Z  * [new branch]              gh/bobrenjc93/542/head      -> origin/gh/bobrenjc93/542/head
2025-08-26T20:08:14.5662328Z  * [new branch]              gh/bobrenjc93/542/orig      -> origin/gh/bobrenjc93/542/orig
2025-08-26T20:08:14.5663044Z  * [new branch]              gh/bobrenjc93/543/base      -> origin/gh/bobrenjc93/543/base
2025-08-26T20:08:14.5663501Z  * [new branch]              gh/bobrenjc93/543/head      -> origin/gh/bobrenjc93/543/head
2025-08-26T20:08:14.5664094Z  * [new branch]              gh/bobrenjc93/543/orig      -> origin/gh/bobrenjc93/543/orig
2025-08-26T20:08:14.5665029Z  * [new branch]              gh/bobrenjc93/544/base      -> origin/gh/bobrenjc93/544/base
2025-08-26T20:08:14.5665585Z  * [new branch]              gh/bobrenjc93/544/head      -> origin/gh/bobrenjc93/544/head
2025-08-26T20:08:14.5666198Z  * [new branch]              gh/bobrenjc93/544/orig      -> origin/gh/bobrenjc93/544/orig
2025-08-26T20:08:14.5666886Z  * [new branch]              gh/bobrenjc93/545/base      -> origin/gh/bobrenjc93/545/base
2025-08-26T20:08:14.5667498Z  * [new branch]              gh/bobrenjc93/545/head      -> origin/gh/bobrenjc93/545/head
2025-08-26T20:08:14.5668068Z  * [new branch]              gh/bobrenjc93/545/orig      -> origin/gh/bobrenjc93/545/orig
2025-08-26T20:08:14.5668841Z  * [new branch]              gh/bobrenjc93/546/base      -> origin/gh/bobrenjc93/546/base
2025-08-26T20:08:14.5669296Z  * [new branch]              gh/bobrenjc93/546/head      -> origin/gh/bobrenjc93/546/head
2025-08-26T20:08:14.5669986Z  * [new branch]              gh/bobrenjc93/546/orig      -> origin/gh/bobrenjc93/546/orig
2025-08-26T20:08:14.5671270Z  * [new branch]              gh/bobrenjc93/547/base      -> origin/gh/bobrenjc93/547/base
2025-08-26T20:08:14.5671833Z  * [new branch]              gh/bobrenjc93/547/head      -> origin/gh/bobrenjc93/547/head
2025-08-26T20:08:14.5672451Z  * [new branch]              gh/bobrenjc93/547/orig      -> origin/gh/bobrenjc93/547/orig
2025-08-26T20:08:14.5673111Z  * [new branch]              gh/bobrenjc93/548/base      -> origin/gh/bobrenjc93/548/base
2025-08-26T20:08:14.5673529Z  * [new branch]              gh/bobrenjc93/548/head      -> origin/gh/bobrenjc93/548/head
2025-08-26T20:08:14.5674087Z  * [new branch]              gh/bobrenjc93/548/orig      -> origin/gh/bobrenjc93/548/orig
2025-08-26T20:08:14.5674731Z  * [new branch]              gh/bobrenjc93/549/base      -> origin/gh/bobrenjc93/549/base
2025-08-26T20:08:14.5675344Z  * [new branch]              gh/bobrenjc93/549/head      -> origin/gh/bobrenjc93/549/head
2025-08-26T20:08:14.5675918Z  * [new branch]              gh/bobrenjc93/549/orig      -> origin/gh/bobrenjc93/549/orig
2025-08-26T20:08:14.5676891Z  * [new branch]              gh/bobrenjc93/550/base      -> origin/gh/bobrenjc93/550/base
2025-08-26T20:08:14.5677464Z  * [new branch]              gh/bobrenjc93/550/head      -> origin/gh/bobrenjc93/550/head
2025-08-26T20:08:14.5678085Z  * [new branch]              gh/bobrenjc93/550/orig      -> origin/gh/bobrenjc93/550/orig
2025-08-26T20:08:14.5679206Z  * [new branch]              gh/bobrenjc93/551/base      -> origin/gh/bobrenjc93/551/base
2025-08-26T20:08:14.5679480Z  * [new branch]              gh/bobrenjc93/551/head      -> origin/gh/bobrenjc93/551/head
2025-08-26T20:08:14.5680102Z  * [new branch]              gh/bobrenjc93/551/orig      -> origin/gh/bobrenjc93/551/orig
2025-08-26T20:08:14.5681181Z  * [new branch]              gh/briancoutinho/2/base     -> origin/gh/briancoutinho/2/base
2025-08-26T20:08:14.5681762Z  * [new branch]              gh/briancoutinho/2/head     -> origin/gh/briancoutinho/2/head
2025-08-26T20:08:14.5683127Z  * [new branch]              gh/c00w/23/base             -> origin/gh/c00w/23/base
2025-08-26T20:08:14.5683730Z  * [new branch]              gh/c00w/23/head             -> origin/gh/c00w/23/head
2025-08-26T20:08:14.5684719Z  * [new branch]              gh/c00w/38/base             -> origin/gh/c00w/38/base
2025-08-26T20:08:14.5685356Z  * [new branch]              gh/c00w/38/head             -> origin/gh/c00w/38/head
2025-08-26T20:08:14.5685767Z  * [new branch]              gh/c00w/38/orig             -> origin/gh/c00w/38/orig
2025-08-26T20:08:14.5686618Z  * [new branch]              gh/c00w/48/base             -> origin/gh/c00w/48/base
2025-08-26T20:08:14.5687163Z  * [new branch]              gh/c00w/48/head             -> origin/gh/c00w/48/head
2025-08-26T20:08:14.5687713Z  * [new branch]              gh/c00w/48/orig             -> origin/gh/c00w/48/orig
2025-08-26T20:08:14.5688759Z  * [new branch]              gh/c00w/51/base             -> origin/gh/c00w/51/base
2025-08-26T20:08:14.5689393Z  * [new branch]              gh/c00w/51/head             -> origin/gh/c00w/51/head
2025-08-26T20:08:14.5690016Z  * [new branch]              gh/c00w/51/orig             -> origin/gh/c00w/51/orig
2025-08-26T20:08:14.5690781Z  * [new branch]              gh/c00w/52/base             -> origin/gh/c00w/52/base
2025-08-26T20:08:14.5691500Z  * [new branch]              gh/c00w/52/head             -> origin/gh/c00w/52/head
2025-08-26T20:08:14.5692087Z  * [new branch]              gh/c00w/52/orig             -> origin/gh/c00w/52/orig
2025-08-26T20:08:14.5692930Z  * [new branch]              gh/c00w/53/base             -> origin/gh/c00w/53/base
2025-08-26T20:08:14.5693339Z  * [new branch]              gh/c00w/53/head             -> origin/gh/c00w/53/head
2025-08-26T20:08:14.5693980Z  * [new branch]              gh/c00w/53/orig             -> origin/gh/c00w/53/orig
2025-08-26T20:08:14.5694613Z  * [new branch]              gh/c00w/54/base             -> origin/gh/c00w/54/base
2025-08-26T20:08:14.5695167Z  * [new branch]              gh/c00w/54/head             -> origin/gh/c00w/54/head
2025-08-26T20:08:14.5695728Z  * [new branch]              gh/c00w/54/orig             -> origin/gh/c00w/54/orig
2025-08-26T20:08:14.5696427Z  * [new branch]              gh/c00w/55/base             -> origin/gh/c00w/55/base
2025-08-26T20:08:14.5697055Z  * [new branch]              gh/c00w/55/head             -> origin/gh/c00w/55/head
2025-08-26T20:08:14.5697640Z  * [new branch]              gh/c00w/55/orig             -> origin/gh/c00w/55/orig
2025-08-26T20:08:14.5698533Z  * [new branch]              gh/chenmillie/1/base        -> origin/gh/chenmillie/1/base
2025-08-26T20:08:14.5699174Z  * [new branch]              gh/chenmillie/1/head        -> origin/gh/chenmillie/1/head
2025-08-26T20:08:14.5699802Z  * [new branch]              gh/chenmillie/1/orig        -> origin/gh/chenmillie/1/orig
2025-08-26T20:08:14.5700810Z  * [new branch]              gh/clee2000/1/base          -> origin/gh/clee2000/1/base
2025-08-26T20:08:14.5701548Z  * [new branch]              gh/clee2000/1/head          -> origin/gh/clee2000/1/head
2025-08-26T20:08:14.5702101Z  * [new branch]              gh/clee2000/1/orig          -> origin/gh/clee2000/1/orig
2025-08-26T20:08:14.5703070Z  * [new branch]              gh/coconutruben/1/base      -> origin/gh/coconutruben/1/base
2025-08-26T20:08:14.5703677Z  * [new branch]              gh/coconutruben/1/head      -> origin/gh/coconutruben/1/head
2025-08-26T20:08:14.5704665Z  * [new branch]              gh/coconutruben/11/base     -> origin/gh/coconutruben/11/base
2025-08-26T20:08:14.5705521Z  * [new branch]              gh/coconutruben/11/head     -> origin/gh/coconutruben/11/head
2025-08-26T20:08:14.5706094Z  * [new branch]              gh/coconutruben/11/orig     -> origin/gh/coconutruben/11/orig
2025-08-26T20:08:14.5707275Z  * [new branch]              gh/coconutruben/12/base     -> origin/gh/coconutruben/12/base
2025-08-26T20:08:14.5708029Z  * [new branch]              gh/coconutruben/12/head     -> origin/gh/coconutruben/12/head
2025-08-26T20:08:14.5708751Z  * [new branch]              gh/coconutruben/12/orig     -> origin/gh/coconutruben/12/orig
2025-08-26T20:08:14.5709586Z  * [new branch]              gh/coconutruben/13/base     -> origin/gh/coconutruben/13/base
2025-08-26T20:08:14.5710204Z  * [new branch]              gh/coconutruben/13/head     -> origin/gh/coconutruben/13/head
2025-08-26T20:08:14.5710770Z  * [new branch]              gh/coconutruben/13/orig     -> origin/gh/coconutruben/13/orig
2025-08-26T20:08:14.5711574Z  * [new branch]              gh/coconutruben/14/base     -> origin/gh/coconutruben/14/base
2025-08-26T20:08:14.5712181Z  * [new branch]              gh/coconutruben/14/head     -> origin/gh/coconutruben/14/head
2025-08-26T20:08:14.5712883Z  * [new branch]              gh/coconutruben/14/orig     -> origin/gh/coconutruben/14/orig
2025-08-26T20:08:14.5713828Z  * [new branch]              gh/coconutruben/15/base     -> origin/gh/coconutruben/15/base
2025-08-26T20:08:14.5714467Z  * [new branch]              gh/coconutruben/15/head     -> origin/gh/coconutruben/15/head
2025-08-26T20:08:14.5715095Z  * [new branch]              gh/coconutruben/15/orig     -> origin/gh/coconutruben/15/orig
2025-08-26T20:08:14.5715835Z  * [new branch]              gh/coconutruben/16/base     -> origin/gh/coconutruben/16/base
2025-08-26T20:08:14.5716300Z  * [new branch]              gh/coconutruben/16/head     -> origin/gh/coconutruben/16/head
2025-08-26T20:08:14.5716915Z  * [new branch]              gh/coconutruben/16/orig     -> origin/gh/coconutruben/16/orig
2025-08-26T20:08:14.5717883Z  * [new branch]              gh/coconutruben/17/base     -> origin/gh/coconutruben/17/base
2025-08-26T20:08:14.5718597Z  * [new branch]              gh/coconutruben/17/head     -> origin/gh/coconutruben/17/head
2025-08-26T20:08:14.5719210Z  * [new branch]              gh/coconutruben/17/orig     -> origin/gh/coconutruben/17/orig
2025-08-26T20:08:14.5719978Z  * [new branch]              gh/coconutruben/18/base     -> origin/gh/coconutruben/18/base
2025-08-26T20:08:14.5720584Z  * [new branch]              gh/coconutruben/18/head     -> origin/gh/coconutruben/18/head
2025-08-26T20:08:14.5721035Z  * [new branch]              gh/coconutruben/18/orig     -> origin/gh/coconutruben/18/orig
2025-08-26T20:08:14.5722060Z  * [new branch]              gh/coconutruben/19/base     -> origin/gh/coconutruben/19/base
2025-08-26T20:08:14.5722658Z  * [new branch]              gh/coconutruben/19/head     -> origin/gh/coconutruben/19/head
2025-08-26T20:08:14.5723404Z  * [new branch]              gh/coconutruben/19/orig     -> origin/gh/coconutruben/19/orig
2025-08-26T20:08:14.5724263Z  * [new branch]              gh/coconutruben/20/base     -> origin/gh/coconutruben/20/base
2025-08-26T20:08:14.5724872Z  * [new branch]              gh/coconutruben/20/head     -> origin/gh/coconutruben/20/head
2025-08-26T20:08:14.5725443Z  * [new branch]              gh/coconutruben/20/orig     -> origin/gh/coconutruben/20/orig
2025-08-26T20:08:14.5726325Z  * [new branch]              gh/coconutruben/21/base     -> origin/gh/coconutruben/21/base
2025-08-26T20:08:14.5726760Z  * [new branch]              gh/coconutruben/21/head     -> origin/gh/coconutruben/21/head
2025-08-26T20:08:14.5727371Z  * [new branch]              gh/coconutruben/21/orig     -> origin/gh/coconutruben/21/orig
2025-08-26T20:08:14.5728098Z  * [new branch]              gh/coconutruben/22/base     -> origin/gh/coconutruben/22/base
2025-08-26T20:08:14.5728568Z  * [new branch]              gh/coconutruben/22/head     -> origin/gh/coconutruben/22/head
2025-08-26T20:08:14.5729260Z  * [new branch]              gh/coconutruben/22/orig     -> origin/gh/coconutruben/22/orig
2025-08-26T20:08:14.5730075Z  * [new branch]              gh/coconutruben/23/base     -> origin/gh/coconutruben/23/base
2025-08-26T20:08:14.5730698Z  * [new branch]              gh/coconutruben/23/head     -> origin/gh/coconutruben/23/head
2025-08-26T20:08:14.5731119Z  * [new branch]              gh/coconutruben/23/orig     -> origin/gh/coconutruben/23/orig
2025-08-26T20:08:14.5732085Z  * [new branch]              gh/coconutruben/24/base     -> origin/gh/coconutruben/24/base
2025-08-26T20:08:14.5732650Z  * [new branch]              gh/coconutruben/24/head     -> origin/gh/coconutruben/24/head
2025-08-26T20:08:14.5733312Z  * [new branch]              gh/coconutruben/24/orig     -> origin/gh/coconutruben/24/orig
2025-08-26T20:08:14.5734537Z  * [new branch]              gh/coconutruben/25/base     -> origin/gh/coconutruben/25/base
2025-08-26T20:08:14.5735407Z  * [new branch]              gh/coconutruben/25/head     -> origin/gh/coconutruben/25/head
2025-08-26T20:08:14.5736170Z  * [new branch]              gh/coconutruben/25/orig     -> origin/gh/coconutruben/25/orig
2025-08-26T20:08:14.5737149Z  * [new branch]              gh/coconutruben/26/base     -> origin/gh/coconutruben/26/base
2025-08-26T20:08:14.5737765Z  * [new branch]              gh/coconutruben/26/head     -> origin/gh/coconutruben/26/head
2025-08-26T20:08:14.5738197Z  * [new branch]              gh/coconutruben/26/orig     -> origin/gh/coconutruben/26/orig
2025-08-26T20:08:14.5738975Z  * [new branch]              gh/coconutruben/27/base     -> origin/gh/coconutruben/27/base
2025-08-26T20:08:14.5739622Z  * [new branch]              gh/coconutruben/27/head     -> origin/gh/coconutruben/27/head
2025-08-26T20:08:14.5740257Z  * [new branch]              gh/coconutruben/27/orig     -> origin/gh/coconutruben/27/orig
2025-08-26T20:08:14.5741344Z  * [new branch]              gh/coconutruben/28/base     -> origin/gh/coconutruben/28/base
2025-08-26T20:08:14.5741903Z  * [new branch]              gh/coconutruben/28/head     -> origin/gh/coconutruben/28/head
2025-08-26T20:08:14.5742478Z  * [new branch]              gh/coconutruben/28/orig     -> origin/gh/coconutruben/28/orig
2025-08-26T20:08:14.5743436Z  * [new branch]              gh/coconutruben/29/base     -> origin/gh/coconutruben/29/base
2025-08-26T20:08:14.5744193Z  * [new branch]              gh/coconutruben/29/head     -> origin/gh/coconutruben/29/head
2025-08-26T20:08:14.5744802Z  * [new branch]              gh/coconutruben/29/orig     -> origin/gh/coconutruben/29/orig
2025-08-26T20:08:14.5745772Z  * [new branch]              gh/coconutruben/30/base     -> origin/gh/coconutruben/30/base
2025-08-26T20:08:14.5746437Z  * [new branch]              gh/coconutruben/30/head     -> origin/gh/coconutruben/30/head
2025-08-26T20:08:14.5747015Z  * [new branch]              gh/coconutruben/30/orig     -> origin/gh/coconutruben/30/orig
2025-08-26T20:08:14.5747889Z  * [new branch]              gh/coconutruben/31/base     -> origin/gh/coconutruben/31/base
2025-08-26T20:08:14.5748534Z  * [new branch]              gh/coconutruben/31/head     -> origin/gh/coconutruben/31/head
2025-08-26T20:08:14.5749181Z  * [new branch]              gh/coconutruben/31/orig     -> origin/gh/coconutruben/31/orig
2025-08-26T20:08:14.5750009Z  * [new branch]              gh/coconutruben/32/base     -> origin/gh/coconutruben/32/base
2025-08-26T20:08:14.5750647Z  * [new branch]              gh/coconutruben/32/head     -> origin/gh/coconutruben/32/head
2025-08-26T20:08:14.5751263Z  * [new branch]              gh/coconutruben/32/orig     -> origin/gh/coconutruben/32/orig
2025-08-26T20:08:14.5751999Z  * [new branch]              gh/coconutruben/33/base     -> origin/gh/coconutruben/33/base
2025-08-26T20:08:14.5752571Z  * [new branch]              gh/coconutruben/33/head     -> origin/gh/coconutruben/33/head
2025-08-26T20:08:14.5753332Z  * [new branch]              gh/coconutruben/33/orig     -> origin/gh/coconutruben/33/orig
2025-08-26T20:08:14.5754055Z  * [new branch]              gh/coconutruben/34/base     -> origin/gh/coconutruben/34/base
2025-08-26T20:08:14.5754677Z  * [new branch]              gh/coconutruben/34/head     -> origin/gh/coconutruben/34/head
2025-08-26T20:08:14.5755112Z  * [new branch]              gh/coconutruben/34/orig     -> origin/gh/coconutruben/34/orig
2025-08-26T20:08:14.5755969Z  * [new branch]              gh/coconutruben/35/base     -> origin/gh/coconutruben/35/base
2025-08-26T20:08:14.5756527Z  * [new branch]              gh/coconutruben/35/head     -> origin/gh/coconutruben/35/head
2025-08-26T20:08:14.5756962Z  * [new branch]              gh/coconutruben/35/orig     -> origin/gh/coconutruben/35/orig
2025-08-26T20:08:14.5758951Z  * [new branch]              gh/coconutruben/36/base     -> origin/gh/coconutruben/36/base
2025-08-26T20:08:14.5759747Z  * [new branch]              gh/coconutruben/36/head     -> origin/gh/coconutruben/36/head
2025-08-26T20:08:14.5760872Z  * [new branch]              gh/coconutruben/36/orig     -> origin/gh/coconutruben/36/orig
2025-08-26T20:08:14.5761697Z  * [new branch]              gh/coconutruben/37/base     -> origin/gh/coconutruben/37/base
2025-08-26T20:08:14.5762393Z  * [new branch]              gh/coconutruben/37/head     -> origin/gh/coconutruben/37/head
2025-08-26T20:08:14.5762970Z  * [new branch]              gh/coconutruben/37/orig     -> origin/gh/coconutruben/37/orig
2025-08-26T20:08:14.5763844Z  * [new branch]              gh/coconutruben/38/base     -> origin/gh/coconutruben/38/base
2025-08-26T20:08:14.5764226Z  * [new branch]              gh/coconutruben/38/head     -> origin/gh/coconutruben/38/head
2025-08-26T20:08:14.5764917Z  * [new branch]              gh/coconutruben/38/orig     -> origin/gh/coconutruben/38/orig
2025-08-26T20:08:14.5765805Z  * [new branch]              gh/coconutruben/39/base     -> origin/gh/coconutruben/39/base
2025-08-26T20:08:14.5766585Z  * [new branch]              gh/coconutruben/39/head     -> origin/gh/coconutruben/39/head
2025-08-26T20:08:14.5767150Z  * [new branch]              gh/coconutruben/39/orig     -> origin/gh/coconutruben/39/orig
2025-08-26T20:08:14.5767993Z  * [new branch]              gh/coconutruben/40/base     -> origin/gh/coconutruben/40/base
2025-08-26T20:08:14.5768632Z  * [new branch]              gh/coconutruben/40/head     -> origin/gh/coconutruben/40/head
2025-08-26T20:08:14.5769127Z  * [new branch]              gh/coconutruben/40/orig     -> origin/gh/coconutruben/40/orig
2025-08-26T20:08:14.5769998Z  * [new branch]              gh/coconutruben/41/base     -> origin/gh/coconutruben/41/base
2025-08-26T20:08:14.5770653Z  * [new branch]              gh/coconutruben/41/head     -> origin/gh/coconutruben/41/head
2025-08-26T20:08:14.5771235Z  * [new branch]              gh/coconutruben/41/orig     -> origin/gh/coconutruben/41/orig
2025-08-26T20:08:14.5772017Z  * [new branch]              gh/coconutruben/42/base     -> origin/gh/coconutruben/42/base
2025-08-26T20:08:14.5772657Z  * [new branch]              gh/coconutruben/42/head     -> origin/gh/coconutruben/42/head
2025-08-26T20:08:14.5773229Z  * [new branch]              gh/coconutruben/42/orig     -> origin/gh/coconutruben/42/orig
2025-08-26T20:08:14.5773991Z  * [new branch]              gh/coconutruben/43/base     -> origin/gh/coconutruben/43/base
2025-08-26T20:08:14.5774595Z  * [new branch]              gh/coconutruben/43/head     -> origin/gh/coconutruben/43/head
2025-08-26T20:08:14.5775166Z  * [new branch]              gh/coconutruben/43/orig     -> origin/gh/coconutruben/43/orig
2025-08-26T20:08:14.5775908Z  * [new branch]              gh/coconutruben/44/base     -> origin/gh/coconutruben/44/base
2025-08-26T20:08:14.5776706Z  * [new branch]              gh/coconutruben/44/head     -> origin/gh/coconutruben/44/head
2025-08-26T20:08:14.5777319Z  * [new branch]              gh/coconutruben/44/orig     -> origin/gh/coconutruben/44/orig
2025-08-26T20:08:14.5778029Z  * [new branch]              gh/coconutruben/45/base     -> origin/gh/coconutruben/45/base
2025-08-26T20:08:14.5778689Z  * [new branch]              gh/coconutruben/45/head     -> origin/gh/coconutruben/45/head
2025-08-26T20:08:14.5779116Z  * [new branch]              gh/coconutruben/45/orig     -> origin/gh/coconutruben/45/orig
2025-08-26T20:08:14.5780020Z  * [new branch]              gh/coconutruben/46/base     -> origin/gh/coconutruben/46/base
2025-08-26T20:08:14.5780640Z  * [new branch]              gh/coconutruben/46/head     -> origin/gh/coconutruben/46/head
2025-08-26T20:08:14.5781255Z  * [new branch]              gh/coconutruben/46/orig     -> origin/gh/coconutruben/46/orig
2025-08-26T20:08:14.5781952Z  * [new branch]              gh/coconutruben/47/base     -> origin/gh/coconutruben/47/base
2025-08-26T20:08:14.5782536Z  * [new branch]              gh/coconutruben/47/head     -> origin/gh/coconutruben/47/head
2025-08-26T20:08:14.5782934Z  * [new branch]              gh/coconutruben/47/orig     -> origin/gh/coconutruben/47/orig
2025-08-26T20:08:14.5783837Z  * [new branch]              gh/coconutruben/48/base     -> origin/gh/coconutruben/48/base
2025-08-26T20:08:14.5784418Z  * [new branch]              gh/coconutruben/48/head     -> origin/gh/coconutruben/48/head
2025-08-26T20:08:14.5784974Z  * [new branch]              gh/coconutruben/48/orig     -> origin/gh/coconutruben/48/orig
2025-08-26T20:08:14.5785689Z  * [new branch]              gh/coconutruben/49/base     -> origin/gh/coconutruben/49/base
2025-08-26T20:08:14.5786430Z  * [new branch]              gh/coconutruben/49/head     -> origin/gh/coconutruben/49/head
2025-08-26T20:08:14.5787006Z  * [new branch]              gh/coconutruben/49/orig     -> origin/gh/coconutruben/49/orig
2025-08-26T20:08:14.5787894Z  * [new branch]              gh/coconutruben/50/base     -> origin/gh/coconutruben/50/base
2025-08-26T20:08:14.5788531Z  * [new branch]              gh/coconutruben/50/head     -> origin/gh/coconutruben/50/head
2025-08-26T20:08:14.5789131Z  * [new branch]              gh/coconutruben/50/orig     -> origin/gh/coconutruben/50/orig
2025-08-26T20:08:14.5789969Z  * [new branch]              gh/coconutruben/51/base     -> origin/gh/coconutruben/51/base
2025-08-26T20:08:14.5790576Z  * [new branch]              gh/coconutruben/51/head     -> origin/gh/coconutruben/51/head
2025-08-26T20:08:14.5791209Z  * [new branch]              gh/coconutruben/51/orig     -> origin/gh/coconutruben/51/orig
2025-08-26T20:08:14.5792163Z  * [new branch]              gh/coconutruben/52/base     -> origin/gh/coconutruben/52/base
2025-08-26T20:08:14.5792764Z  * [new branch]              gh/coconutruben/52/head     -> origin/gh/coconutruben/52/head
2025-08-26T20:08:14.5793202Z  * [new branch]              gh/coconutruben/52/orig     -> origin/gh/coconutruben/52/orig
2025-08-26T20:08:14.5794081Z  * [new branch]              gh/coconutruben/53/base     -> origin/gh/coconutruben/53/base
2025-08-26T20:08:14.5794775Z  * [new branch]              gh/coconutruben/53/head     -> origin/gh/coconutruben/53/head
2025-08-26T20:08:14.5795224Z  * [new branch]              gh/coconutruben/53/orig     -> origin/gh/coconutruben/53/orig
2025-08-26T20:08:14.5796203Z  * [new branch]              gh/coconutruben/54/base     -> origin/gh/coconutruben/54/base
2025-08-26T20:08:14.5796809Z  * [new branch]              gh/coconutruben/54/head     -> origin/gh/coconutruben/54/head
2025-08-26T20:08:14.5797389Z  * [new branch]              gh/coconutruben/54/orig     -> origin/gh/coconutruben/54/orig
2025-08-26T20:08:14.5798030Z  * [new branch]              gh/coconutruben/55/base     -> origin/gh/coconutruben/55/base
2025-08-26T20:08:14.5798605Z  * [new branch]              gh/coconutruben/55/head     -> origin/gh/coconutruben/55/head
2025-08-26T20:08:14.5799064Z  * [new branch]              gh/coconutruben/55/orig     -> origin/gh/coconutruben/55/orig
2025-08-26T20:08:14.5800517Z  * [new branch]              gh/codingwithsurya/12/base  -> origin/gh/codingwithsurya/12/base
2025-08-26T20:08:14.5801201Z  * [new branch]              gh/codingwithsurya/12/head  -> origin/gh/codingwithsurya/12/head
2025-08-26T20:08:14.5801959Z  * [new branch]              gh/codingwithsurya/12/orig  -> origin/gh/codingwithsurya/12/orig
2025-08-26T20:08:14.5802801Z  * [new branch]              gh/codingwithsurya/13/base  -> origin/gh/codingwithsurya/13/base
2025-08-26T20:08:14.5803426Z  * [new branch]              gh/codingwithsurya/13/head  -> origin/gh/codingwithsurya/13/head
2025-08-26T20:08:14.5804009Z  * [new branch]              gh/codingwithsurya/13/orig  -> origin/gh/codingwithsurya/13/orig
2025-08-26T20:08:14.5804741Z  * [new branch]              gh/codingwithsurya/14/base  -> origin/gh/codingwithsurya/14/base
2025-08-26T20:08:14.5805209Z  * [new branch]              gh/codingwithsurya/14/head  -> origin/gh/codingwithsurya/14/head
2025-08-26T20:08:14.5805750Z  * [new branch]              gh/codingwithsurya/14/orig  -> origin/gh/codingwithsurya/14/orig
2025-08-26T20:08:14.5806868Z  * [new branch]              gh/codingwithsurya/15/base  -> origin/gh/codingwithsurya/15/base
2025-08-26T20:08:14.5807489Z  * [new branch]              gh/codingwithsurya/15/head  -> origin/gh/codingwithsurya/15/head
2025-08-26T20:08:14.5807916Z  * [new branch]              gh/codingwithsurya/15/orig  -> origin/gh/codingwithsurya/15/orig
2025-08-26T20:08:14.5809161Z  * [new branch]              gh/codingwithsurya/16/base  -> origin/gh/codingwithsurya/16/base
2025-08-26T20:08:14.5809400Z  * [new branch]              gh/codingwithsurya/16/head  -> origin/gh/codingwithsurya/16/head
2025-08-26T20:08:14.5810019Z  * [new branch]              gh/codingwithsurya/16/orig  -> origin/gh/codingwithsurya/16/orig
2025-08-26T20:08:14.5811099Z  * [new branch]              gh/codingwithsurya/17/base  -> origin/gh/codingwithsurya/17/base
2025-08-26T20:08:14.5811727Z  * [new branch]              gh/codingwithsurya/17/head  -> origin/gh/codingwithsurya/17/head
2025-08-26T20:08:14.5812191Z  * [new branch]              gh/codingwithsurya/17/orig  -> origin/gh/codingwithsurya/17/orig
2025-08-26T20:08:14.5813090Z  * [new branch]              gh/codingwithsurya/18/base  -> origin/gh/codingwithsurya/18/base
2025-08-26T20:08:14.5813659Z  * [new branch]              gh/codingwithsurya/18/head  -> origin/gh/codingwithsurya/18/head
2025-08-26T20:08:14.5814125Z  * [new branch]              gh/codingwithsurya/18/orig  -> origin/gh/codingwithsurya/18/orig
2025-08-26T20:08:14.5815041Z  * [new branch]              gh/codingwithsurya/19/base  -> origin/gh/codingwithsurya/19/base
2025-08-26T20:08:14.5815521Z  * [new branch]              gh/codingwithsurya/19/head  -> origin/gh/codingwithsurya/19/head
2025-08-26T20:08:14.5816136Z  * [new branch]              gh/codingwithsurya/19/orig  -> origin/gh/codingwithsurya/19/orig
2025-08-26T20:08:14.5817126Z  * [new branch]              gh/codingwithsurya/20/base  -> origin/gh/codingwithsurya/20/base
2025-08-26T20:08:14.5817571Z  * [new branch]              gh/codingwithsurya/20/head  -> origin/gh/codingwithsurya/20/head
2025-08-26T20:08:14.5818260Z  * [new branch]              gh/codingwithsurya/20/orig  -> origin/gh/codingwithsurya/20/orig
2025-08-26T20:08:14.5819198Z  * [new branch]              gh/codingwithsurya/21/base  -> origin/gh/codingwithsurya/21/base
2025-08-26T20:08:14.5819716Z  * [new branch]              gh/codingwithsurya/21/head  -> origin/gh/codingwithsurya/21/head
2025-08-26T20:08:14.5820298Z  * [new branch]              gh/codingwithsurya/21/orig  -> origin/gh/codingwithsurya/21/orig
2025-08-26T20:08:14.5821287Z  * [new branch]              gh/colinchan15/1/base       -> origin/gh/colinchan15/1/base
2025-08-26T20:08:14.5821739Z  * [new branch]              gh/colinchan15/1/head       -> origin/gh/colinchan15/1/head
2025-08-26T20:08:14.5822457Z  * [new branch]              gh/colinchan15/2/base       -> origin/gh/colinchan15/2/base
2025-08-26T20:08:14.5822880Z  * [new branch]              gh/colinchan15/2/head       -> origin/gh/colinchan15/2/head
2025-08-26T20:08:14.5823589Z  * [new branch]              gh/colinchan15/3/base       -> origin/gh/colinchan15/3/base
2025-08-26T20:08:14.5824022Z  * [new branch]              gh/colinchan15/3/head       -> origin/gh/colinchan15/3/head
2025-08-26T20:08:14.5824720Z  * [new branch]              gh/colinchan15/4/base       -> origin/gh/colinchan15/4/base
2025-08-26T20:08:14.5825103Z  * [new branch]              gh/colinchan15/4/head       -> origin/gh/colinchan15/4/head
2025-08-26T20:08:14.5825945Z  * [new branch]              gh/colinchan15/5/base       -> origin/gh/colinchan15/5/base
2025-08-26T20:08:14.5826592Z  * [new branch]              gh/colinchan15/5/head       -> origin/gh/colinchan15/5/head
2025-08-26T20:08:14.5827241Z  * [new branch]              gh/colinchan15/6/base       -> origin/gh/colinchan15/6/base
2025-08-26T20:08:14.5827624Z  * [new branch]              gh/colinchan15/6/head       -> origin/gh/colinchan15/6/head
2025-08-26T20:08:14.5828754Z  * [new branch]              gh/davidberard98/382/base   -> origin/gh/davidberard98/382/base
2025-08-26T20:08:14.5829385Z  * [new branch]              gh/davidberard98/382/head   -> origin/gh/davidberard98/382/head
2025-08-26T20:08:14.5829991Z  * [new branch]              gh/davidberard98/382/orig   -> origin/gh/davidberard98/382/orig
2025-08-26T20:08:14.5830679Z  * [new branch]              gh/davidberard98/386/base   -> origin/gh/davidberard98/386/base
2025-08-26T20:08:14.5831323Z  * [new branch]              gh/davidberard98/386/head   -> origin/gh/davidberard98/386/head
2025-08-26T20:08:14.5831751Z  * [new branch]              gh/davidberard98/386/orig   -> origin/gh/davidberard98/386/orig
2025-08-26T20:08:14.5832779Z  * [new branch]              gh/davidberard98/391/base   -> origin/gh/davidberard98/391/base
2025-08-26T20:08:14.5833344Z  * [new branch]              gh/davidberard98/391/head   -> origin/gh/davidberard98/391/head
2025-08-26T20:08:14.5833780Z  * [new branch]              gh/davidberard98/391/orig   -> origin/gh/davidberard98/391/orig
2025-08-26T20:08:14.5834632Z  * [new branch]              gh/davidberard98/392/base   -> origin/gh/davidberard98/392/base
2025-08-26T20:08:14.5835082Z  * [new branch]              gh/davidberard98/392/head   -> origin/gh/davidberard98/392/head
2025-08-26T20:08:14.5835828Z  * [new branch]              gh/davidberard98/392/orig   -> origin/gh/davidberard98/392/orig
2025-08-26T20:08:14.5836538Z  * [new branch]              gh/davidberard98/393/base   -> origin/gh/davidberard98/393/base
2025-08-26T20:08:14.5836988Z  * [new branch]              gh/davidberard98/393/head   -> origin/gh/davidberard98/393/head
2025-08-26T20:08:14.5837591Z  * [new branch]              gh/davidberard98/393/orig   -> origin/gh/davidberard98/393/orig
2025-08-26T20:08:14.5838470Z  * [new branch]              gh/davidberard98/394/base   -> origin/gh/davidberard98/394/base
2025-08-26T20:08:14.5838973Z  * [new branch]              gh/davidberard98/394/head   -> origin/gh/davidberard98/394/head
2025-08-26T20:08:14.5839583Z  * [new branch]              gh/davidberard98/394/orig   -> origin/gh/davidberard98/394/orig
2025-08-26T20:08:14.5840568Z  * [new branch]              gh/davidberard98/395/base   -> origin/gh/davidberard98/395/base
2025-08-26T20:08:14.5841214Z  * [new branch]              gh/davidberard98/395/head   -> origin/gh/davidberard98/395/head
2025-08-26T20:08:14.5841774Z  * [new branch]              gh/davidberard98/395/orig   -> origin/gh/davidberard98/395/orig
2025-08-26T20:08:14.5842551Z  * [new branch]              gh/davidberard98/396/base   -> origin/gh/davidberard98/396/base
2025-08-26T20:08:14.5843012Z  * [new branch]              gh/davidberard98/396/head   -> origin/gh/davidberard98/396/head
2025-08-26T20:08:14.5843623Z  * [new branch]              gh/davidberard98/396/orig   -> origin/gh/davidberard98/396/orig
2025-08-26T20:08:14.5844590Z  * [new branch]              gh/davidberard98/397/base   -> origin/gh/davidberard98/397/base
2025-08-26T20:08:14.5845182Z  * [new branch]              gh/davidberard98/397/head   -> origin/gh/davidberard98/397/head
2025-08-26T20:08:14.5845812Z  * [new branch]              gh/davidberard98/397/orig   -> origin/gh/davidberard98/397/orig
2025-08-26T20:08:14.5846595Z  * [new branch]              gh/davidberard98/398/base   -> origin/gh/davidberard98/398/base
2025-08-26T20:08:14.5846964Z  * [new branch]              gh/davidberard98/398/head   -> origin/gh/davidberard98/398/head
2025-08-26T20:08:14.5847592Z  * [new branch]              gh/davidberard98/398/orig   -> origin/gh/davidberard98/398/orig
2025-08-26T20:08:14.5848506Z  * [new branch]              gh/davidberard98/399/base   -> origin/gh/davidberard98/399/base
2025-08-26T20:08:14.5849112Z  * [new branch]              gh/davidberard98/399/head   -> origin/gh/davidberard98/399/head
2025-08-26T20:08:14.5849527Z  * [new branch]              gh/davidberard98/399/orig   -> origin/gh/davidberard98/399/orig
2025-08-26T20:08:14.5850413Z  * [new branch]              gh/davidberard98/400/base   -> origin/gh/davidberard98/400/base
2025-08-26T20:08:14.5851091Z  * [new branch]              gh/davidberard98/400/head   -> origin/gh/davidberard98/400/head
2025-08-26T20:08:14.5851469Z  * [new branch]              gh/davidberard98/400/orig   -> origin/gh/davidberard98/400/orig
2025-08-26T20:08:14.5852271Z  * [new branch]              gh/davidberard98/401/base   -> origin/gh/davidberard98/401/base
2025-08-26T20:08:14.5852729Z  * [new branch]              gh/davidberard98/401/head   -> origin/gh/davidberard98/401/head
2025-08-26T20:08:14.5853350Z  * [new branch]              gh/davidberard98/401/orig   -> origin/gh/davidberard98/401/orig
2025-08-26T20:08:14.5854067Z  * [new branch]              gh/davidberard98/402/base   -> origin/gh/davidberard98/402/base
2025-08-26T20:08:14.5854687Z  * [new branch]              gh/davidberard98/402/head   -> origin/gh/davidberard98/402/head
2025-08-26T20:08:14.5855276Z  * [new branch]              gh/davidberard98/402/orig   -> origin/gh/davidberard98/402/orig
2025-08-26T20:08:14.5856383Z  * [new branch]              gh/desertfire/589/base      -> origin/gh/desertfire/589/base
2025-08-26T20:08:14.5856945Z  * [new branch]              gh/desertfire/589/head      -> origin/gh/desertfire/589/head
2025-08-26T20:08:14.5857576Z  * [new branch]              gh/desertfire/589/orig      -> origin/gh/desertfire/589/orig
2025-08-26T20:08:14.5858245Z  * [new branch]              gh/desertfire/591/base      -> origin/gh/desertfire/591/base
2025-08-26T20:08:14.5858689Z  * [new branch]              gh/desertfire/591/head      -> origin/gh/desertfire/591/head
2025-08-26T20:08:14.5859374Z  * [new branch]              gh/desertfire/591/orig      -> origin/gh/desertfire/591/orig
2025-08-26T20:08:14.5860099Z  * [new branch]              gh/desertfire/592/base      -> origin/gh/desertfire/592/base
2025-08-26T20:08:14.5860525Z  * [new branch]              gh/desertfire/592/head      -> origin/gh/desertfire/592/head
2025-08-26T20:08:14.5861210Z  * [new branch]              gh/desertfire/592/orig      -> origin/gh/desertfire/592/orig
2025-08-26T20:08:14.5861924Z  * [new branch]              gh/desertfire/593/base      -> origin/gh/desertfire/593/base
2025-08-26T20:08:14.5862365Z  * [new branch]              gh/desertfire/593/head      -> origin/gh/desertfire/593/head
2025-08-26T20:08:14.5863089Z  * [new branch]              gh/desertfire/593/orig      -> origin/gh/desertfire/593/orig
2025-08-26T20:08:14.5863947Z  * [new branch]              gh/desertfire/594/base      -> origin/gh/desertfire/594/base
2025-08-26T20:08:14.5864383Z  * [new branch]              gh/desertfire/594/head      -> origin/gh/desertfire/594/head
2025-08-26T20:08:14.5865156Z  * [new branch]              gh/desertfire/594/orig      -> origin/gh/desertfire/594/orig
2025-08-26T20:08:14.5865935Z  * [new branch]              gh/desertfire/595/base      -> origin/gh/desertfire/595/base
2025-08-26T20:08:14.5866374Z  * [new branch]              gh/desertfire/595/head      -> origin/gh/desertfire/595/head
2025-08-26T20:08:14.5866984Z  * [new branch]              gh/desertfire/595/orig      -> origin/gh/desertfire/595/orig
2025-08-26T20:08:14.5867692Z  * [new branch]              gh/desertfire/596/base      -> origin/gh/desertfire/596/base
2025-08-26T20:08:14.5868178Z  * [new branch]              gh/desertfire/596/head      -> origin/gh/desertfire/596/head
2025-08-26T20:08:14.5868780Z  * [new branch]              gh/desertfire/596/orig      -> origin/gh/desertfire/596/orig
2025-08-26T20:08:14.5869542Z  * [new branch]              gh/desertfire/597/base      -> origin/gh/desertfire/597/base
2025-08-26T20:08:14.5870109Z  * [new branch]              gh/desertfire/597/head      -> origin/gh/desertfire/597/head
2025-08-26T20:08:14.5870553Z  * [new branch]              gh/desertfire/597/orig      -> origin/gh/desertfire/597/orig
2025-08-26T20:08:14.5871682Z  * [new branch]              gh/dharakk/1/base           -> origin/gh/dharakk/1/base
2025-08-26T20:08:14.5872237Z  * [new branch]              gh/dharakk/1/head           -> origin/gh/dharakk/1/head
2025-08-26T20:08:14.5873056Z  * [new branch]              gh/dharakk/4/base           -> origin/gh/dharakk/4/base
2025-08-26T20:08:14.5873457Z  * [new branch]              gh/dharakk/4/head           -> origin/gh/dharakk/4/head
2025-08-26T20:08:14.5874092Z  * [new branch]              gh/dharakk/4/orig           -> origin/gh/dharakk/4/orig
2025-08-26T20:08:14.5875112Z  * [new branch]              gh/drisspg/149/base         -> origin/gh/drisspg/149/base
2025-08-26T20:08:14.5875562Z  * [new branch]              gh/drisspg/149/head         -> origin/gh/drisspg/149/head
2025-08-26T20:08:14.5876195Z  * [new branch]              gh/drisspg/149/orig         -> origin/gh/drisspg/149/orig
2025-08-26T20:08:14.5876926Z  * [new branch]              gh/drisspg/150/base         -> origin/gh/drisspg/150/base
2025-08-26T20:08:14.5877377Z  * [new branch]              gh/drisspg/150/head         -> origin/gh/drisspg/150/head
2025-08-26T20:08:14.5878043Z  * [new branch]              gh/drisspg/150/orig         -> origin/gh/drisspg/150/orig
2025-08-26T20:08:14.5878755Z  * [new branch]              gh/drisspg/151/base         -> origin/gh/drisspg/151/base
2025-08-26T20:08:14.5879334Z  * [new branch]              gh/drisspg/151/head         -> origin/gh/drisspg/151/head
2025-08-26T20:08:14.5879724Z  * [new branch]              gh/drisspg/151/orig         -> origin/gh/drisspg/151/orig
2025-08-26T20:08:14.5880497Z  * [new branch]              gh/drisspg/159/base         -> origin/gh/drisspg/159/base
2025-08-26T20:08:14.5880926Z  * [new branch]              gh/drisspg/159/head         -> origin/gh/drisspg/159/head
2025-08-26T20:08:14.5881545Z  * [new branch]              gh/drisspg/159/orig         -> origin/gh/drisspg/159/orig
2025-08-26T20:08:14.5882327Z  * [new branch]              gh/drisspg/166/base         -> origin/gh/drisspg/166/base
2025-08-26T20:08:14.5882813Z  * [new branch]              gh/drisspg/166/head         -> origin/gh/drisspg/166/head
2025-08-26T20:08:14.5883473Z  * [new branch]              gh/drisspg/166/orig         -> origin/gh/drisspg/166/orig
2025-08-26T20:08:14.5884180Z  * [new branch]              gh/drisspg/170/base         -> origin/gh/drisspg/170/base
2025-08-26T20:08:14.5884628Z  * [new branch]              gh/drisspg/170/head         -> origin/gh/drisspg/170/head
2025-08-26T20:08:14.5885266Z  * [new branch]              gh/drisspg/170/orig         -> origin/gh/drisspg/170/orig
2025-08-26T20:08:14.5886004Z  * [new branch]              gh/drisspg/172/base         -> origin/gh/drisspg/172/base
2025-08-26T20:08:14.5886445Z  * [new branch]              gh/drisspg/172/head         -> origin/gh/drisspg/172/head
2025-08-26T20:08:14.5887054Z  * [new branch]              gh/drisspg/172/orig         -> origin/gh/drisspg/172/orig
2025-08-26T20:08:14.5887799Z  * [new branch]              gh/drisspg/173/base         -> origin/gh/drisspg/173/base
2025-08-26T20:08:14.5888239Z  * [new branch]              gh/drisspg/173/head         -> origin/gh/drisspg/173/head
2025-08-26T20:08:14.5888871Z  * [new branch]              gh/drisspg/173/orig         -> origin/gh/drisspg/173/orig
2025-08-26T20:08:14.5889811Z  * [new branch]              gh/drisspg/175/base         -> origin/gh/drisspg/175/base
2025-08-26T20:08:14.5890410Z  * [new branch]              gh/drisspg/175/head         -> origin/gh/drisspg/175/head
2025-08-26T20:08:14.5891049Z  * [new branch]              gh/drisspg/175/orig         -> origin/gh/drisspg/175/orig
2025-08-26T20:08:14.5891660Z  * [new branch]              gh/drisspg/176/base         -> origin/gh/drisspg/176/base
2025-08-26T20:08:14.5892088Z  * [new branch]              gh/drisspg/176/head         -> origin/gh/drisspg/176/head
2025-08-26T20:08:14.5892855Z  * [new branch]              gh/drisspg/176/orig         -> origin/gh/drisspg/176/orig
2025-08-26T20:08:14.5893600Z  * [new branch]              gh/drisspg/177/base         -> origin/gh/drisspg/177/base
2025-08-26T20:08:14.5894155Z  * [new branch]              gh/drisspg/177/head         -> origin/gh/drisspg/177/head
2025-08-26T20:08:14.5894597Z  * [new branch]              gh/drisspg/177/orig         -> origin/gh/drisspg/177/orig
2025-08-26T20:08:14.5895376Z  * [new branch]              gh/drisspg/178/base         -> origin/gh/drisspg/178/base
2025-08-26T20:08:14.5895813Z  * [new branch]              gh/drisspg/178/head         -> origin/gh/drisspg/178/head
2025-08-26T20:08:14.5896257Z  * [new branch]              gh/drisspg/178/orig         -> origin/gh/drisspg/178/orig
2025-08-26T20:08:14.5897074Z  * [new branch]              gh/drisspg/179/base         -> origin/gh/drisspg/179/base
2025-08-26T20:08:14.5897511Z  * [new branch]              gh/drisspg/179/head         -> origin/gh/drisspg/179/head
2025-08-26T20:08:14.5898112Z  * [new branch]              gh/drisspg/179/orig         -> origin/gh/drisspg/179/orig
2025-08-26T20:08:14.5898833Z  * [new branch]              gh/drisspg/180/base         -> origin/gh/drisspg/180/base
2025-08-26T20:08:14.5899386Z  * [new branch]              gh/drisspg/180/head         -> origin/gh/drisspg/180/head
2025-08-26T20:08:14.5900013Z  * [new branch]              gh/drisspg/180/orig         -> origin/gh/drisspg/180/orig
2025-08-26T20:08:14.5900667Z  * [new branch]              gh/drisspg/181/base         -> origin/gh/drisspg/181/base
2025-08-26T20:08:14.5901117Z  * [new branch]              gh/drisspg/181/head         -> origin/gh/drisspg/181/head
2025-08-26T20:08:14.5901781Z  * [new branch]              gh/drisspg/181/orig         -> origin/gh/drisspg/181/orig
2025-08-26T20:08:14.5902542Z  * [new branch]              gh/drisspg/182/base         -> origin/gh/drisspg/182/base
2025-08-26T20:08:14.5903122Z  * [new branch]              gh/drisspg/182/head         -> origin/gh/drisspg/182/head
2025-08-26T20:08:14.5904199Z  * [new branch]              gh/drisspg/183/base         -> origin/gh/drisspg/183/base
2025-08-26T20:08:14.5904454Z  * [new branch]              gh/drisspg/183/head         -> origin/gh/drisspg/183/head
2025-08-26T20:08:14.5905259Z  * [new branch]              gh/drisspg/184/base         -> origin/gh/drisspg/184/base
2025-08-26T20:08:14.5905683Z  * [new branch]              gh/drisspg/184/head         -> origin/gh/drisspg/184/head
2025-08-26T20:08:14.5906551Z  * [new branch]              gh/drisspg/185/base         -> origin/gh/drisspg/185/base
2025-08-26T20:08:14.5907155Z  * [new branch]              gh/drisspg/185/head         -> origin/gh/drisspg/185/head
2025-08-26T20:08:14.5907903Z  * [new branch]              gh/drisspg/186/base         -> origin/gh/drisspg/186/base
2025-08-26T20:08:14.5908506Z  * [new branch]              gh/drisspg/186/head         -> origin/gh/drisspg/186/head
2025-08-26T20:08:14.5909061Z  * [new branch]              gh/drisspg/186/orig         -> origin/gh/drisspg/186/orig
2025-08-26T20:08:14.5909751Z  * [new branch]              gh/drisspg/187/base         -> origin/gh/drisspg/187/base
2025-08-26T20:08:14.5910350Z  * [new branch]              gh/drisspg/187/head         -> origin/gh/drisspg/187/head
2025-08-26T20:08:14.5910707Z  * [new branch]              gh/drisspg/187/orig         -> origin/gh/drisspg/187/orig
2025-08-26T20:08:14.5911698Z  * [new branch]              gh/drisspg/188/base         -> origin/gh/drisspg/188/base
2025-08-26T20:08:14.5912146Z  * [new branch]              gh/drisspg/188/head         -> origin/gh/drisspg/188/head
2025-08-26T20:08:14.5912781Z  * [new branch]              gh/drisspg/188/orig         -> origin/gh/drisspg/188/orig
2025-08-26T20:08:14.5913454Z  * [new branch]              gh/drisspg/189/base         -> origin/gh/drisspg/189/base
2025-08-26T20:08:14.5913890Z  * [new branch]              gh/drisspg/189/head         -> origin/gh/drisspg/189/head
2025-08-26T20:08:14.5914543Z  * [new branch]              gh/drisspg/189/orig         -> origin/gh/drisspg/189/orig
2025-08-26T20:08:14.5915493Z  * [new branch]              gh/dsjohns2/1/base          -> origin/gh/dsjohns2/1/base
2025-08-26T20:08:14.5915936Z  * [new branch]              gh/dsjohns2/1/head          -> origin/gh/dsjohns2/1/head
2025-08-26T20:08:14.5916910Z  * [new branch]              gh/eellison/784/base        -> origin/gh/eellison/784/base
2025-08-26T20:08:14.5917462Z  * [new branch]              gh/eellison/784/head        -> origin/gh/eellison/784/head
2025-08-26T20:08:14.5918095Z  * [new branch]              gh/eellison/784/orig        -> origin/gh/eellison/784/orig
2025-08-26T20:08:14.5918968Z  * [new branch]              gh/eellison/785/base        -> origin/gh/eellison/785/base
2025-08-26T20:08:14.5919561Z  * [new branch]              gh/eellison/785/head        -> origin/gh/eellison/785/head
2025-08-26T20:08:14.5919943Z  * [new branch]              gh/eellison/785/orig        -> origin/gh/eellison/785/orig
2025-08-26T20:08:14.5920760Z  * [new branch]              gh/eellison/789/base        -> origin/gh/eellison/789/base
2025-08-26T20:08:14.5921428Z  * [new branch]              gh/eellison/789/head        -> origin/gh/eellison/789/head
2025-08-26T20:08:14.5921878Z  * [new branch]              gh/eellison/789/orig        -> origin/gh/eellison/789/orig
2025-08-26T20:08:14.5922711Z  * [new branch]              gh/eellison/800/base        -> origin/gh/eellison/800/base
2025-08-26T20:08:14.5923092Z  * [new branch]              gh/eellison/800/head        -> origin/gh/eellison/800/head
2025-08-26T20:08:14.5923731Z  * [new branch]              gh/eellison/800/orig        -> origin/gh/eellison/800/orig
2025-08-26T20:08:14.5924761Z  * [new branch]              gh/eellison/801/base        -> origin/gh/eellison/801/base
2025-08-26T20:08:14.5925341Z  * [new branch]              gh/eellison/801/head        -> origin/gh/eellison/801/head
2025-08-26T20:08:14.5925725Z  * [new branch]              gh/eellison/801/orig        -> origin/gh/eellison/801/orig
2025-08-26T20:08:14.5926608Z  * [new branch]              gh/eellison/802/base        -> origin/gh/eellison/802/base
2025-08-26T20:08:14.5927173Z  * [new branch]              gh/eellison/802/head        -> origin/gh/eellison/802/head
2025-08-26T20:08:14.5927609Z  * [new branch]              gh/eellison/802/orig        -> origin/gh/eellison/802/orig
2025-08-26T20:08:14.5928417Z  * [new branch]              gh/eellison/805/base        -> origin/gh/eellison/805/base
2025-08-26T20:08:14.5929022Z  * [new branch]              gh/eellison/805/head        -> origin/gh/eellison/805/head
2025-08-26T20:08:14.5929461Z  * [new branch]              gh/eellison/805/orig        -> origin/gh/eellison/805/orig
2025-08-26T20:08:14.5930519Z  * [new branch]              gh/eellison/808/base        -> origin/gh/eellison/808/base
2025-08-26T20:08:14.5931073Z  * [new branch]              gh/eellison/808/head        -> origin/gh/eellison/808/head
2025-08-26T20:08:14.5931524Z  * [new branch]              gh/eellison/808/orig        -> origin/gh/eellison/808/orig
2025-08-26T20:08:14.5932332Z  * [new branch]              gh/eellison/809/base        -> origin/gh/eellison/809/base
2025-08-26T20:08:14.5932752Z  * [new branch]              gh/eellison/809/head        -> origin/gh/eellison/809/head
2025-08-26T20:08:14.5933375Z  * [new branch]              gh/eellison/809/orig        -> origin/gh/eellison/809/orig
2025-08-26T20:08:14.5934098Z  * [new branch]              gh/eellison/810/base        -> origin/gh/eellison/810/base
2025-08-26T20:08:14.5934503Z  * [new branch]              gh/eellison/810/head        -> origin/gh/eellison/810/head
2025-08-26T20:08:14.5935166Z  * [new branch]              gh/eellison/810/orig        -> origin/gh/eellison/810/orig
2025-08-26T20:08:14.5935853Z  * [new branch]              gh/eellison/811/base        -> origin/gh/eellison/811/base
2025-08-26T20:08:14.5936446Z  * [new branch]              gh/eellison/811/head        -> origin/gh/eellison/811/head
2025-08-26T20:08:14.5936895Z  * [new branch]              gh/eellison/811/orig        -> origin/gh/eellison/811/orig
2025-08-26T20:08:14.5937691Z  * [new branch]              gh/eellison/812/base        -> origin/gh/eellison/812/base
2025-08-26T20:08:14.5938121Z  * [new branch]              gh/eellison/812/head        -> origin/gh/eellison/812/head
2025-08-26T20:08:14.5938766Z  * [new branch]              gh/eellison/812/orig        -> origin/gh/eellison/812/orig
2025-08-26T20:08:14.5939561Z  * [new branch]              gh/eellison/813/base        -> origin/gh/eellison/813/base
2025-08-26T20:08:14.5940010Z  * [new branch]              gh/eellison/813/head        -> origin/gh/eellison/813/head
2025-08-26T20:08:14.5940629Z  * [new branch]              gh/eellison/813/orig        -> origin/gh/eellison/813/orig
2025-08-26T20:08:14.5941351Z  * [new branch]              gh/eellison/814/base        -> origin/gh/eellison/814/base
2025-08-26T20:08:14.5941902Z  * [new branch]              gh/eellison/814/head        -> origin/gh/eellison/814/head
2025-08-26T20:08:14.5942330Z  * [new branch]              gh/eellison/814/orig        -> origin/gh/eellison/814/orig
2025-08-26T20:08:14.5943464Z  * [new branch]              gh/eellison/815/base        -> origin/gh/eellison/815/base
2025-08-26T20:08:14.5944049Z  * [new branch]              gh/eellison/815/head        -> origin/gh/eellison/815/head
2025-08-26T20:08:14.5944470Z  * [new branch]              gh/eellison/815/orig        -> origin/gh/eellison/815/orig
2025-08-26T20:08:14.5945273Z  * [new branch]              gh/eellison/816/base        -> origin/gh/eellison/816/base
2025-08-26T20:08:14.5945714Z  * [new branch]              gh/eellison/816/head        -> origin/gh/eellison/816/head
2025-08-26T20:08:14.5946343Z  * [new branch]              gh/eellison/816/orig        -> origin/gh/eellison/816/orig
2025-08-26T20:08:14.5947341Z  * [new branch]              gh/eellison/817/base        -> origin/gh/eellison/817/base
2025-08-26T20:08:14.5947787Z  * [new branch]              gh/eellison/817/head        -> origin/gh/eellison/817/head
2025-08-26T20:08:14.5948268Z  * [new branch]              gh/eellison/817/orig        -> origin/gh/eellison/817/orig
2025-08-26T20:08:14.5949256Z  * [new branch]              gh/eellison/818/base        -> origin/gh/eellison/818/base
2025-08-26T20:08:14.5949828Z  * [new branch]              gh/eellison/818/head        -> origin/gh/eellison/818/head
2025-08-26T20:08:14.5950275Z  * [new branch]              gh/eellison/818/orig        -> origin/gh/eellison/818/orig
2025-08-26T20:08:14.5951265Z  * [new branch]              gh/eellison/819/base        -> origin/gh/eellison/819/base
2025-08-26T20:08:14.5951822Z  * [new branch]              gh/eellison/819/head        -> origin/gh/eellison/819/head
2025-08-26T20:08:14.5952258Z  * [new branch]              gh/eellison/819/orig        -> origin/gh/eellison/819/orig
2025-08-26T20:08:14.5953229Z  * [new branch]              gh/eellison/820/base        -> origin/gh/eellison/820/base
2025-08-26T20:08:14.5953682Z  * [new branch]              gh/eellison/820/head        -> origin/gh/eellison/820/head
2025-08-26T20:08:14.5954300Z  * [new branch]              gh/eellison/820/orig        -> origin/gh/eellison/820/orig
2025-08-26T20:08:14.5954967Z  * [new branch]              gh/eellison/821/base        -> origin/gh/eellison/821/base
2025-08-26T20:08:14.5955517Z  * [new branch]              gh/eellison/821/head        -> origin/gh/eellison/821/head
2025-08-26T20:08:14.5956070Z  * [new branch]              gh/eellison/821/orig        -> origin/gh/eellison/821/orig
2025-08-26T20:08:14.5956792Z  * [new branch]              gh/eellison/822/base        -> origin/gh/eellison/822/base
2025-08-26T20:08:14.5957292Z  * [new branch]              gh/eellison/822/head        -> origin/gh/eellison/822/head
2025-08-26T20:08:14.5957784Z  * [new branch]              gh/eellison/822/orig        -> origin/gh/eellison/822/orig
2025-08-26T20:08:14.5958935Z  * [new branch]              gh/etaf/132/base            -> origin/gh/etaf/132/base
2025-08-26T20:08:14.5959385Z  * [new branch]              gh/etaf/132/head            -> origin/gh/etaf/132/head
2025-08-26T20:08:14.5959970Z  * [new branch]              gh/etaf/132/orig            -> origin/gh/etaf/132/orig
2025-08-26T20:08:14.5960783Z  * [new branch]              gh/etaf/138/base            -> origin/gh/etaf/138/base
2025-08-26T20:08:14.5961333Z  * [new branch]              gh/etaf/138/head            -> origin/gh/etaf/138/head
2025-08-26T20:08:14.5961892Z  * [new branch]              gh/etaf/138/orig            -> origin/gh/etaf/138/orig
2025-08-26T20:08:14.5962628Z  * [new branch]              gh/etaf/140/base            -> origin/gh/etaf/140/base
2025-08-26T20:08:14.5963068Z  * [new branch]              gh/etaf/140/head            -> origin/gh/etaf/140/head
2025-08-26T20:08:14.5963688Z  * [new branch]              gh/etaf/140/orig            -> origin/gh/etaf/140/orig
2025-08-26T20:08:14.5964454Z  * [new branch]              gh/etaf/143/base            -> origin/gh/etaf/143/base
2025-08-26T20:08:14.5965120Z  * [new branch]              gh/etaf/143/head            -> origin/gh/etaf/143/head
2025-08-26T20:08:14.5965424Z  * [new branch]              gh/etaf/143/orig            -> origin/gh/etaf/143/orig
2025-08-26T20:08:14.5967742Z  * [new branch]              gh/etaf/147/base            -> origin/gh/etaf/147/base
2025-08-26T20:08:14.5968319Z  * [new branch]              gh/etaf/147/head            -> origin/gh/etaf/147/head
2025-08-26T20:08:14.5969115Z  * [new branch]              gh/etaf/149/base            -> origin/gh/etaf/149/base
2025-08-26T20:08:14.5969751Z  * [new branch]              gh/etaf/149/head            -> origin/gh/etaf/149/head
2025-08-26T20:08:14.5970354Z  * [new branch]              gh/etaf/149/orig            -> origin/gh/etaf/149/orig
2025-08-26T20:08:14.5971236Z  * [new branch]              gh/etaf/150/base            -> origin/gh/etaf/150/base
2025-08-26T20:08:14.5971780Z  * [new branch]              gh/etaf/150/head            -> origin/gh/etaf/150/head
2025-08-26T20:08:14.5972327Z  * [new branch]              gh/etaf/150/orig            -> origin/gh/etaf/150/orig
2025-08-26T20:08:14.5973135Z  * [new branch]              gh/etaf/151/base            -> origin/gh/etaf/151/base
2025-08-26T20:08:14.5973730Z  * [new branch]              gh/etaf/151/head            -> origin/gh/etaf/151/head
2025-08-26T20:08:14.5974270Z  * [new branch]              gh/etaf/151/orig            -> origin/gh/etaf/151/orig
2025-08-26T20:08:14.5975105Z  * [new branch]              gh/etaf/152/base            -> origin/gh/etaf/152/base
2025-08-26T20:08:14.5975751Z  * [new branch]              gh/etaf/152/head            -> origin/gh/etaf/152/head
2025-08-26T20:08:14.5976306Z  * [new branch]              gh/etaf/152/orig            -> origin/gh/etaf/152/orig
2025-08-26T20:08:14.5977086Z  * [new branch]              gh/etaf/153/base            -> origin/gh/etaf/153/base
2025-08-26T20:08:14.5977676Z  * [new branch]              gh/etaf/153/head            -> origin/gh/etaf/153/head
2025-08-26T20:08:14.5978093Z  * [new branch]              gh/etaf/153/orig            -> origin/gh/etaf/153/orig
2025-08-26T20:08:14.5978997Z  * [new branch]              gh/etaf/154/base            -> origin/gh/etaf/154/base
2025-08-26T20:08:14.5979634Z  * [new branch]              gh/etaf/154/head            -> origin/gh/etaf/154/head
2025-08-26T20:08:14.5980175Z  * [new branch]              gh/etaf/154/orig            -> origin/gh/etaf/154/orig
2025-08-26T20:08:14.5980976Z  * [new branch]              gh/etaf/155/base            -> origin/gh/etaf/155/base
2025-08-26T20:08:14.5981522Z  * [new branch]              gh/etaf/155/head            -> origin/gh/etaf/155/head
2025-08-26T20:08:14.5982115Z  * [new branch]              gh/etaf/155/orig            -> origin/gh/etaf/155/orig
2025-08-26T20:08:14.5982858Z  * [new branch]              gh/etaf/156/base            -> origin/gh/etaf/156/base
2025-08-26T20:08:14.5983408Z  * [new branch]              gh/etaf/156/head            -> origin/gh/etaf/156/head
2025-08-26T20:08:14.5983942Z  * [new branch]              gh/etaf/156/orig            -> origin/gh/etaf/156/orig
2025-08-26T20:08:14.5984738Z  * [new branch]              gh/etaf/157/base            -> origin/gh/etaf/157/base
2025-08-26T20:08:14.5985138Z  * [new branch]              gh/etaf/157/head            -> origin/gh/etaf/157/head
2025-08-26T20:08:14.5985736Z  * [new branch]              gh/etaf/157/orig            -> origin/gh/etaf/157/orig
2025-08-26T20:08:14.5986509Z  * [new branch]              gh/etaf/158/base            -> origin/gh/etaf/158/base
2025-08-26T20:08:14.5986944Z  * [new branch]              gh/etaf/158/head            -> origin/gh/etaf/158/head
2025-08-26T20:08:14.5987536Z  * [new branch]              gh/etaf/158/orig            -> origin/gh/etaf/158/orig
2025-08-26T20:08:14.5988394Z  * [new branch]              gh/etaf/159/base            -> origin/gh/etaf/159/base
2025-08-26T20:08:14.5988804Z  * [new branch]              gh/etaf/159/head            -> origin/gh/etaf/159/head
2025-08-26T20:08:14.5989399Z  * [new branch]              gh/etaf/159/orig            -> origin/gh/etaf/159/orig
2025-08-26T20:08:14.5990463Z  * [new branch]              gh/etaf/160/base            -> origin/gh/etaf/160/base
2025-08-26T20:08:14.5991136Z  * [new branch]              gh/etaf/160/head            -> origin/gh/etaf/160/head
2025-08-26T20:08:14.5991785Z  * [new branch]              gh/etaf/160/orig            -> origin/gh/etaf/160/orig
2025-08-26T20:08:14.5992416Z  * [new branch]              gh/etaf/161/base            -> origin/gh/etaf/161/base
2025-08-26T20:08:14.5992825Z  * [new branch]              gh/etaf/161/head            -> origin/gh/etaf/161/head
2025-08-26T20:08:14.5993375Z  * [new branch]              gh/etaf/161/orig            -> origin/gh/etaf/161/orig
2025-08-26T20:08:14.5994188Z  * [new branch]              gh/etaf/162/base            -> origin/gh/etaf/162/base
2025-08-26T20:08:14.5994734Z  * [new branch]              gh/etaf/162/head            -> origin/gh/etaf/162/head
2025-08-26T20:08:14.5995269Z  * [new branch]              gh/etaf/162/orig            -> origin/gh/etaf/162/orig
2025-08-26T20:08:14.5996014Z  * [new branch]              gh/etaf/163/base            -> origin/gh/etaf/163/base
2025-08-26T20:08:14.5996571Z  * [new branch]              gh/etaf/163/head            -> origin/gh/etaf/163/head
2025-08-26T20:08:14.5997197Z  * [new branch]              gh/etaf/163/orig            -> origin/gh/etaf/163/orig
2025-08-26T20:08:14.5997987Z  * [new branch]              gh/etaf/164/base            -> origin/gh/etaf/164/base
2025-08-26T20:08:14.5998594Z  * [new branch]              gh/etaf/164/head            -> origin/gh/etaf/164/head
2025-08-26T20:08:14.5999437Z  * [new branch]              gh/etaf/164/orig            -> origin/gh/etaf/164/orig
2025-08-26T20:08:14.5999794Z  * [new branch]              gh/etaf/165/base            -> origin/gh/etaf/165/base
2025-08-26T20:08:14.6000406Z  * [new branch]              gh/etaf/165/head            -> origin/gh/etaf/165/head
2025-08-26T20:08:14.6000998Z  * [new branch]              gh/etaf/165/orig            -> origin/gh/etaf/165/orig
2025-08-26T20:08:14.6001958Z  * [new branch]              gh/ezyang/2374/base         -> origin/gh/ezyang/2374/base
2025-08-26T20:08:14.6002524Z  * [new branch]              gh/ezyang/2374/head         -> origin/gh/ezyang/2374/head
2025-08-26T20:08:14.6002953Z  * [new branch]              gh/ezyang/2374/orig         -> origin/gh/ezyang/2374/orig
2025-08-26T20:08:14.6003791Z  * [new branch]              gh/ezyang/2973/base         -> origin/gh/ezyang/2973/base
2025-08-26T20:08:14.6004339Z  * [new branch]              gh/ezyang/2973/head         -> origin/gh/ezyang/2973/head
2025-08-26T20:08:14.6004977Z  * [new branch]              gh/ezyang/2973/orig         -> origin/gh/ezyang/2973/orig
2025-08-26T20:08:14.6005698Z  * [new branch]              gh/ezyang/2974/base         -> origin/gh/ezyang/2974/base
2025-08-26T20:08:14.6006261Z  * [new branch]              gh/ezyang/2974/head         -> origin/gh/ezyang/2974/head
2025-08-26T20:08:14.6006682Z  * [new branch]              gh/ezyang/2974/orig         -> origin/gh/ezyang/2974/orig
2025-08-26T20:08:14.6007598Z  * [new branch]              gh/ezyang/3068/base         -> origin/gh/ezyang/3068/base
2025-08-26T20:08:14.6008034Z  * [new branch]              gh/ezyang/3068/head         -> origin/gh/ezyang/3068/head
2025-08-26T20:08:14.6008668Z  * [new branch]              gh/ezyang/3068/orig         -> origin/gh/ezyang/3068/orig
2025-08-26T20:08:14.6009448Z  * [new branch]              gh/ezyang/3071/base         -> origin/gh/ezyang/3071/base
2025-08-26T20:08:14.6009993Z  * [new branch]              gh/ezyang/3071/head         -> origin/gh/ezyang/3071/head
2025-08-26T20:08:14.6010603Z  * [new branch]              gh/ezyang/3071/orig         -> origin/gh/ezyang/3071/orig
2025-08-26T20:08:14.6011307Z  * [new branch]              gh/ezyang/3074/base         -> origin/gh/ezyang/3074/base
2025-08-26T20:08:14.6011745Z  * [new branch]              gh/ezyang/3074/head         -> origin/gh/ezyang/3074/head
2025-08-26T20:08:14.6012345Z  * [new branch]              gh/ezyang/3074/orig         -> origin/gh/ezyang/3074/orig
2025-08-26T20:08:14.6013168Z  * [new branch]              gh/ezyang/3088/base         -> origin/gh/ezyang/3088/base
2025-08-26T20:08:14.6013727Z  * [new branch]              gh/ezyang/3088/head         -> origin/gh/ezyang/3088/head
2025-08-26T20:08:14.6014170Z  * [new branch]              gh/ezyang/3088/orig         -> origin/gh/ezyang/3088/orig
2025-08-26T20:08:14.6015367Z  * [new branch]              gh/ezyang/3092/base         -> origin/gh/ezyang/3092/base
2025-08-26T20:08:14.6015964Z  * [new branch]              gh/ezyang/3092/head         -> origin/gh/ezyang/3092/head
2025-08-26T20:08:14.6016411Z  * [new branch]              gh/ezyang/3092/orig         -> origin/gh/ezyang/3092/orig
2025-08-26T20:08:14.6017328Z  * [new branch]              gh/ezyang/3103/base         -> origin/gh/ezyang/3103/base
2025-08-26T20:08:14.6017827Z  * [new branch]              gh/ezyang/3103/head         -> origin/gh/ezyang/3103/head
2025-08-26T20:08:14.6018294Z  * [new branch]              gh/ezyang/3103/orig         -> origin/gh/ezyang/3103/orig
2025-08-26T20:08:14.6019138Z  * [new branch]              gh/ezyang/3105/base         -> origin/gh/ezyang/3105/base
2025-08-26T20:08:14.6019727Z  * [new branch]              gh/ezyang/3105/head         -> origin/gh/ezyang/3105/head
2025-08-26T20:08:14.6020113Z  * [new branch]              gh/ezyang/3105/orig         -> origin/gh/ezyang/3105/orig
2025-08-26T20:08:14.6021045Z  * [new branch]              gh/ezyang/3114/base         -> origin/gh/ezyang/3114/base
2025-08-26T20:08:14.6021657Z  * [new branch]              gh/ezyang/3114/head         -> origin/gh/ezyang/3114/head
2025-08-26T20:08:14.6022076Z  * [new branch]              gh/ezyang/3114/orig         -> origin/gh/ezyang/3114/orig
2025-08-26T20:08:14.6023932Z  * [new branch]              gh/ezyang/3116/base         -> origin/gh/ezyang/3116/base
2025-08-26T20:08:14.6024553Z  * [new branch]              gh/ezyang/3116/head         -> origin/gh/ezyang/3116/head
2025-08-26T20:08:14.6024898Z  * [new branch]              gh/ezyang/3116/orig         -> origin/gh/ezyang/3116/orig
2025-08-26T20:08:14.6025748Z  * [new branch]              gh/ezyang/3117/base         -> origin/gh/ezyang/3117/base
2025-08-26T20:08:14.6026171Z  * [new branch]              gh/ezyang/3117/head         -> origin/gh/ezyang/3117/head
2025-08-26T20:08:14.6026797Z  * [new branch]              gh/ezyang/3117/orig         -> origin/gh/ezyang/3117/orig
2025-08-26T20:08:14.6027617Z  * [new branch]              gh/ezyang/3118/base         -> origin/gh/ezyang/3118/base
2025-08-26T20:08:14.6028123Z  * [new branch]              gh/ezyang/3118/head         -> origin/gh/ezyang/3118/head
2025-08-26T20:08:14.6028678Z  * [new branch]              gh/ezyang/3118/orig         -> origin/gh/ezyang/3118/orig
2025-08-26T20:08:14.6029773Z  * [new branch]              gh/ezyang/3119/base         -> origin/gh/ezyang/3119/base
2025-08-26T20:08:14.6030173Z  * [new branch]              gh/ezyang/3119/head         -> origin/gh/ezyang/3119/head
2025-08-26T20:08:14.6030795Z  * [new branch]              gh/ezyang/3119/orig         -> origin/gh/ezyang/3119/orig
2025-08-26T20:08:14.6031775Z  * [new branch]              gh/ezyang/3120/base         -> origin/gh/ezyang/3120/base
2025-08-26T20:08:14.6032404Z  * [new branch]              gh/ezyang/3120/head         -> origin/gh/ezyang/3120/head
2025-08-26T20:08:14.6032827Z  * [new branch]              gh/ezyang/3120/orig         -> origin/gh/ezyang/3120/orig
2025-08-26T20:08:14.6033639Z  * [new branch]              gh/ezyang/3121/base         -> origin/gh/ezyang/3121/base
2025-08-26T20:08:14.6034094Z  * [new branch]              gh/ezyang/3121/head         -> origin/gh/ezyang/3121/head
2025-08-26T20:08:14.6034690Z  * [new branch]              gh/ezyang/3121/orig         -> origin/gh/ezyang/3121/orig
2025-08-26T20:08:14.6035397Z  * [new branch]              gh/ezyang/3122/base         -> origin/gh/ezyang/3122/base
2025-08-26T20:08:14.6035811Z  * [new branch]              gh/ezyang/3122/head         -> origin/gh/ezyang/3122/head
2025-08-26T20:08:14.6036564Z  * [new branch]              gh/ezyang/3122/orig         -> origin/gh/ezyang/3122/orig
2025-08-26T20:08:14.6037377Z  * [new branch]              gh/ezyang/3123/base         -> origin/gh/ezyang/3123/base
2025-08-26T20:08:14.6037813Z  * [new branch]              gh/ezyang/3123/head         -> origin/gh/ezyang/3123/head
2025-08-26T20:08:14.6038402Z  * [new branch]              gh/ezyang/3123/orig         -> origin/gh/ezyang/3123/orig
2025-08-26T20:08:14.6039164Z  * [new branch]              gh/ezyang/3124/base         -> origin/gh/ezyang/3124/base
2025-08-26T20:08:14.6039618Z  * [new branch]              gh/ezyang/3124/head         -> origin/gh/ezyang/3124/head
2025-08-26T20:08:14.6040239Z  * [new branch]              gh/ezyang/3124/orig         -> origin/gh/ezyang/3124/orig
2025-08-26T20:08:14.6040868Z  * [new branch]              gh/ezyang/3125/base         -> origin/gh/ezyang/3125/base
2025-08-26T20:08:14.6041422Z  * [new branch]              gh/ezyang/3125/head         -> origin/gh/ezyang/3125/head
2025-08-26T20:08:14.6041854Z  * [new branch]              gh/ezyang/3125/orig         -> origin/gh/ezyang/3125/orig
2025-08-26T20:08:14.6042680Z  * [new branch]              gh/ezyang/3126/base         -> origin/gh/ezyang/3126/base
2025-08-26T20:08:14.6043131Z  * [new branch]              gh/ezyang/3126/head         -> origin/gh/ezyang/3126/head
2025-08-26T20:08:14.6043741Z  * [new branch]              gh/ezyang/3126/orig         -> origin/gh/ezyang/3126/orig
2025-08-26T20:08:14.6044523Z  * [new branch]              gh/ezyang/3127/base         -> origin/gh/ezyang/3127/base
2025-08-26T20:08:14.6044977Z  * [new branch]              gh/ezyang/3127/head         -> origin/gh/ezyang/3127/head
2025-08-26T20:08:14.6045699Z  * [new branch]              gh/ezyang/3127/orig         -> origin/gh/ezyang/3127/orig
2025-08-26T20:08:14.6046466Z  * [new branch]              gh/ezyang/3128/base         -> origin/gh/ezyang/3128/base
2025-08-26T20:08:14.6046898Z  * [new branch]              gh/ezyang/3128/head         -> origin/gh/ezyang/3128/head
2025-08-26T20:08:14.6047502Z  * [new branch]              gh/ezyang/3128/orig         -> origin/gh/ezyang/3128/orig
2025-08-26T20:08:14.6048222Z  * [new branch]              gh/ezyang/3129/base         -> origin/gh/ezyang/3129/base
2025-08-26T20:08:14.6048663Z  * [new branch]              gh/ezyang/3129/head         -> origin/gh/ezyang/3129/head
2025-08-26T20:08:14.6049269Z  * [new branch]              gh/ezyang/3129/orig         -> origin/gh/ezyang/3129/orig
2025-08-26T20:08:14.6049959Z  * [new branch]              gh/ezyang/3130/base         -> origin/gh/ezyang/3130/base
2025-08-26T20:08:14.6050547Z  * [new branch]              gh/ezyang/3130/head         -> origin/gh/ezyang/3130/head
2025-08-26T20:08:14.6050951Z  * [new branch]              gh/ezyang/3130/orig         -> origin/gh/ezyang/3130/orig
2025-08-26T20:08:14.6051907Z  * [new branch]              gh/ezyang/3131/base         -> origin/gh/ezyang/3131/base
2025-08-26T20:08:14.6052408Z  * [new branch]              gh/ezyang/3131/head         -> origin/gh/ezyang/3131/head
2025-08-26T20:08:14.6052992Z  * [new branch]              gh/ezyang/3131/orig         -> origin/gh/ezyang/3131/orig
2025-08-26T20:08:14.6053616Z  * [new branch]              gh/ezyang/3132/base         -> origin/gh/ezyang/3132/base
2025-08-26T20:08:14.6054047Z  * [new branch]              gh/ezyang/3132/head         -> origin/gh/ezyang/3132/head
2025-08-26T20:08:14.6054730Z  * [new branch]              gh/ezyang/3132/orig         -> origin/gh/ezyang/3132/orig
2025-08-26T20:08:14.6055444Z  * [new branch]              gh/ezyang/3133/base         -> origin/gh/ezyang/3133/base
2025-08-26T20:08:14.6055876Z  * [new branch]              gh/ezyang/3133/head         -> origin/gh/ezyang/3133/head
2025-08-26T20:08:14.6056489Z  * [new branch]              gh/ezyang/3133/orig         -> origin/gh/ezyang/3133/orig
2025-08-26T20:08:14.6057227Z  * [new branch]              gh/ezyang/3134/base         -> origin/gh/ezyang/3134/base
2025-08-26T20:08:14.6057674Z  * [new branch]              gh/ezyang/3134/head         -> origin/gh/ezyang/3134/head
2025-08-26T20:08:14.6058272Z  * [new branch]              gh/ezyang/3134/orig         -> origin/gh/ezyang/3134/orig
2025-08-26T20:08:14.6059055Z  * [new branch]              gh/ezyang/3135/base         -> origin/gh/ezyang/3135/base
2025-08-26T20:08:14.6059500Z  * [new branch]              gh/ezyang/3135/head         -> origin/gh/ezyang/3135/head
2025-08-26T20:08:14.6060097Z  * [new branch]              gh/ezyang/3135/orig         -> origin/gh/ezyang/3135/orig
2025-08-26T20:08:14.6060795Z  * [new branch]              gh/ezyang/3136/base         -> origin/gh/ezyang/3136/base
2025-08-26T20:08:14.6061212Z  * [new branch]              gh/ezyang/3136/head         -> origin/gh/ezyang/3136/head
2025-08-26T20:08:14.6061835Z  * [new branch]              gh/ezyang/3136/orig         -> origin/gh/ezyang/3136/orig
2025-08-26T20:08:14.6062549Z  * [new branch]              gh/ezyang/3137/base         -> origin/gh/ezyang/3137/base
2025-08-26T20:08:14.6062983Z  * [new branch]              gh/ezyang/3137/head         -> origin/gh/ezyang/3137/head
2025-08-26T20:08:14.6063676Z  * [new branch]              gh/ezyang/3137/orig         -> origin/gh/ezyang/3137/orig
2025-08-26T20:08:14.6064651Z  * [new branch]              gh/fadara01/1/base          -> origin/gh/fadara01/1/base
2025-08-26T20:08:14.6065199Z  * [new branch]              gh/fadara01/1/head          -> origin/gh/fadara01/1/head
2025-08-26T20:08:14.6065628Z  * [new branch]              gh/fadara01/1/orig          -> origin/gh/fadara01/1/orig
2025-08-26T20:08:14.6066866Z  * [new branch]              gh/fduwjj/169/base          -> origin/gh/fduwjj/169/base
2025-08-26T20:08:14.6067464Z  * [new branch]              gh/fduwjj/169/head          -> origin/gh/fduwjj/169/head
2025-08-26T20:08:14.6068020Z  * [new branch]              gh/fduwjj/169/orig          -> origin/gh/fduwjj/169/orig
2025-08-26T20:08:14.6068952Z  * [new branch]              gh/fduwjj/171/base          -> origin/gh/fduwjj/171/base
2025-08-26T20:08:14.6069675Z  * [new branch]              gh/fduwjj/171/head          -> origin/gh/fduwjj/171/head
2025-08-26T20:08:14.6070024Z  * [new branch]              gh/fduwjj/171/orig          -> origin/gh/fduwjj/171/orig
2025-08-26T20:08:14.6071065Z  * [new branch]              gh/fduwjj/175/base          -> origin/gh/fduwjj/175/base
2025-08-26T20:08:14.6071755Z  * [new branch]              gh/fduwjj/175/head          -> origin/gh/fduwjj/175/head
2025-08-26T20:08:14.6072310Z  * [new branch]              gh/fduwjj/175/orig          -> origin/gh/fduwjj/175/orig
2025-08-26T20:08:14.6073147Z  * [new branch]              gh/fduwjj/176/base          -> origin/gh/fduwjj/176/base
2025-08-26T20:08:14.6073532Z  * [new branch]              gh/fduwjj/176/head          -> origin/gh/fduwjj/176/head
2025-08-26T20:08:14.6074371Z  * [new branch]              gh/fduwjj/176/orig          -> origin/gh/fduwjj/176/orig
2025-08-26T20:08:14.6075126Z  * [new branch]              gh/fduwjj/177/base          -> origin/gh/fduwjj/177/base
2025-08-26T20:08:14.6076089Z  * [new branch]              gh/fduwjj/177/head          -> origin/gh/fduwjj/177/head
2025-08-26T20:08:14.6076637Z  * [new branch]              gh/fduwjj/177/orig          -> origin/gh/fduwjj/177/orig
2025-08-26T20:08:14.6077479Z  * [new branch]              gh/fduwjj/178/base          -> origin/gh/fduwjj/178/base
2025-08-26T20:08:14.6078092Z  * [new branch]              gh/fduwjj/178/head          -> origin/gh/fduwjj/178/head
2025-08-26T20:08:14.6078675Z  * [new branch]              gh/fduwjj/178/orig          -> origin/gh/fduwjj/178/orig
2025-08-26T20:08:14.6079368Z  * [new branch]              gh/fduwjj/179/base          -> origin/gh/fduwjj/179/base
2025-08-26T20:08:14.6082980Z  * [new branch]              gh/fduwjj/179/head          -> origin/gh/fduwjj/179/head
2025-08-26T20:08:14.6083109Z  * [new branch]              gh/fduwjj/179/orig          -> origin/gh/fduwjj/179/orig
2025-08-26T20:08:14.6083245Z  * [new branch]              gh/fduwjj/180/base          -> origin/gh/fduwjj/180/base
2025-08-26T20:08:14.6083371Z  * [new branch]              gh/fduwjj/180/head          -> origin/gh/fduwjj/180/head
2025-08-26T20:08:14.6083496Z  * [new branch]              gh/fduwjj/180/orig          -> origin/gh/fduwjj/180/orig
2025-08-26T20:08:14.6083614Z  * [new branch]              gh/fduwjj/181/base          -> origin/gh/fduwjj/181/base
2025-08-26T20:08:14.6083762Z  * [new branch]              gh/fduwjj/181/head          -> origin/gh/fduwjj/181/head
2025-08-26T20:08:14.6084308Z  * [new branch]              gh/fduwjj/181/orig          -> origin/gh/fduwjj/181/orig
2025-08-26T20:08:14.6085105Z  * [new branch]              gh/fduwjj/182/base          -> origin/gh/fduwjj/182/base
2025-08-26T20:08:14.6085720Z  * [new branch]              gh/fduwjj/182/head          -> origin/gh/fduwjj/182/head
2025-08-26T20:08:14.6086075Z  * [new branch]              gh/fduwjj/182/orig          -> origin/gh/fduwjj/182/orig
2025-08-26T20:08:14.6086945Z  * [new branch]              gh/fduwjj/183/base          -> origin/gh/fduwjj/183/base
2025-08-26T20:08:14.6087701Z  * [new branch]              gh/fduwjj/183/head          -> origin/gh/fduwjj/183/head
2025-08-26T20:08:14.6088265Z  * [new branch]              gh/fduwjj/183/orig          -> origin/gh/fduwjj/183/orig
2025-08-26T20:08:14.6089239Z  * [new branch]              gh/fduwjj/184/base          -> origin/gh/fduwjj/184/base
2025-08-26T20:08:14.6089790Z  * [new branch]              gh/fduwjj/184/head          -> origin/gh/fduwjj/184/head
2025-08-26T20:08:14.6090420Z  * [new branch]              gh/fduwjj/184/orig          -> origin/gh/fduwjj/184/orig
2025-08-26T20:08:14.6091227Z  * [new branch]              gh/fduwjj/185/base          -> origin/gh/fduwjj/185/base
2025-08-26T20:08:14.6091773Z  * [new branch]              gh/fduwjj/185/head          -> origin/gh/fduwjj/185/head
2025-08-26T20:08:14.6092324Z  * [new branch]              gh/fduwjj/185/orig          -> origin/gh/fduwjj/185/orig
2025-08-26T20:08:14.6092949Z  * [new branch]              gh/fduwjj/186/base          -> origin/gh/fduwjj/186/base
2025-08-26T20:08:14.6093599Z  * [new branch]              gh/fduwjj/186/head          -> origin/gh/fduwjj/186/head
2025-08-26T20:08:14.6094143Z  * [new branch]              gh/fduwjj/186/orig          -> origin/gh/fduwjj/186/orig
2025-08-26T20:08:14.6094799Z  * [new branch]              gh/fduwjj/187/base          -> origin/gh/fduwjj/187/base
2025-08-26T20:08:14.6095223Z  * [new branch]              gh/fduwjj/187/head          -> origin/gh/fduwjj/187/head
2025-08-26T20:08:14.6095812Z  * [new branch]              gh/fduwjj/187/orig          -> origin/gh/fduwjj/187/orig
2025-08-26T20:08:14.6096506Z  * [new branch]              gh/fduwjj/188/base          -> origin/gh/fduwjj/188/base
2025-08-26T20:08:14.6096892Z  * [new branch]              gh/fduwjj/188/head          -> origin/gh/fduwjj/188/head
2025-08-26T20:08:14.6097494Z  * [new branch]              gh/fduwjj/188/orig          -> origin/gh/fduwjj/188/orig
2025-08-26T20:08:14.6098395Z  * [new branch]              gh/fduwjj/189/base          -> origin/gh/fduwjj/189/base
2025-08-26T20:08:14.6098879Z  * [new branch]              gh/fduwjj/189/head          -> origin/gh/fduwjj/189/head
2025-08-26T20:08:14.6099322Z  * [new branch]              gh/fduwjj/189/orig          -> origin/gh/fduwjj/189/orig
2025-08-26T20:08:14.6100117Z  * [new branch]              gh/fduwjj/190/base          -> origin/gh/fduwjj/190/base
2025-08-26T20:08:14.6100547Z  * [new branch]              gh/fduwjj/190/head          -> origin/gh/fduwjj/190/head
2025-08-26T20:08:14.6101154Z  * [new branch]              gh/fduwjj/190/orig          -> origin/gh/fduwjj/190/orig
2025-08-26T20:08:14.6101822Z  * [new branch]              gh/fduwjj/191/base          -> origin/gh/fduwjj/191/base
2025-08-26T20:08:14.6102611Z  * [new branch]              gh/fduwjj/191/head          -> origin/gh/fduwjj/191/head
2025-08-26T20:08:14.6103065Z  * [new branch]              gh/fduwjj/191/orig          -> origin/gh/fduwjj/191/orig
2025-08-26T20:08:14.6104092Z  * [new branch]              gh/fegin/306/base           -> origin/gh/fegin/306/base
2025-08-26T20:08:14.6104641Z  * [new branch]              gh/fegin/306/head           -> origin/gh/fegin/306/head
2025-08-26T20:08:14.6105186Z  * [new branch]              gh/fegin/306/orig           -> origin/gh/fegin/306/orig
2025-08-26T20:08:14.6105926Z  * [new branch]              gh/fegin/307/base           -> origin/gh/fegin/307/base
2025-08-26T20:08:14.6106342Z  * [new branch]              gh/fegin/307/head           -> origin/gh/fegin/307/head
2025-08-26T20:08:14.6106939Z  * [new branch]              gh/fegin/307/orig           -> origin/gh/fegin/307/orig
2025-08-26T20:08:14.6107853Z  * [new branch]              gh/fffrog/124/base          -> origin/gh/fffrog/124/base
2025-08-26T20:08:14.6108403Z  * [new branch]              gh/fffrog/124/head          -> origin/gh/fffrog/124/head
2025-08-26T20:08:14.6108952Z  * [new branch]              gh/fffrog/124/orig          -> origin/gh/fffrog/124/orig
2025-08-26T20:08:14.6109696Z  * [new branch]              gh/fffrog/128/base          -> origin/gh/fffrog/128/base
2025-08-26T20:08:14.6110260Z  * [new branch]              gh/fffrog/128/head          -> origin/gh/fffrog/128/head
2025-08-26T20:08:14.6111166Z  * [new branch]              gh/fffrog/128/orig          -> origin/gh/fffrog/128/orig
2025-08-26T20:08:14.6112024Z  * [new branch]              gh/fffrog/129/base          -> origin/gh/fffrog/129/base
2025-08-26T20:08:14.6112667Z  * [new branch]              gh/fffrog/129/head          -> origin/gh/fffrog/129/head
2025-08-26T20:08:14.6113585Z  * [new branch]              gh/fffrog/129/orig          -> origin/gh/fffrog/129/orig
2025-08-26T20:08:14.6114336Z  * [new branch]              gh/fffrog/130/base          -> origin/gh/fffrog/130/base
2025-08-26T20:08:14.6114895Z  * [new branch]              gh/fffrog/130/head          -> origin/gh/fffrog/130/head
2025-08-26T20:08:14.6115366Z  * [new branch]              gh/fffrog/130/orig          -> origin/gh/fffrog/130/orig
2025-08-26T20:08:14.6116179Z  * [new branch]              gh/fffrog/131/base          -> origin/gh/fffrog/131/base
2025-08-26T20:08:14.6116752Z  * [new branch]              gh/fffrog/131/head          -> origin/gh/fffrog/131/head
2025-08-26T20:08:14.6117162Z  * [new branch]              gh/fffrog/131/orig          -> origin/gh/fffrog/131/orig
2025-08-26T20:08:14.6118386Z  * [new branch]              gh/fffrog/132/base          -> origin/gh/fffrog/132/base
2025-08-26T20:08:14.6118758Z  * [new branch]              gh/fffrog/132/head          -> origin/gh/fffrog/132/head
2025-08-26T20:08:14.6119439Z  * [new branch]              gh/fffrog/132/orig          -> origin/gh/fffrog/132/orig
2025-08-26T20:08:14.6120195Z  * [new branch]              gh/fffrog/133/base          -> origin/gh/fffrog/133/base
2025-08-26T20:08:14.6120635Z  * [new branch]              gh/fffrog/133/head          -> origin/gh/fffrog/133/head
2025-08-26T20:08:14.6121250Z  * [new branch]              gh/fffrog/133/orig          -> origin/gh/fffrog/133/orig
2025-08-26T20:08:14.6121990Z  * [new branch]              gh/fffrog/134/base          -> origin/gh/fffrog/134/base
2025-08-26T20:08:14.6122638Z  * [new branch]              gh/fffrog/134/head          -> origin/gh/fffrog/134/head
2025-08-26T20:08:14.6123192Z  * [new branch]              gh/fffrog/134/orig          -> origin/gh/fffrog/134/orig
2025-08-26T20:08:14.6123903Z  * [new branch]              gh/fffrog/135/base          -> origin/gh/fffrog/135/base
2025-08-26T20:08:14.6124342Z  * [new branch]              gh/fffrog/135/head          -> origin/gh/fffrog/135/head
2025-08-26T20:08:14.6124958Z  * [new branch]              gh/fffrog/135/orig          -> origin/gh/fffrog/135/orig
2025-08-26T20:08:14.6125688Z  * [new branch]              gh/fffrog/136/base          -> origin/gh/fffrog/136/base
2025-08-26T20:08:14.6126136Z  * [new branch]              gh/fffrog/136/head          -> origin/gh/fffrog/136/head
2025-08-26T20:08:14.6126713Z  * [new branch]              gh/fffrog/136/orig          -> origin/gh/fffrog/136/orig
2025-08-26T20:08:14.6127540Z  * [new branch]              gh/fffrog/137/base          -> origin/gh/fffrog/137/base
2025-08-26T20:08:14.6128448Z  * [new branch]              gh/fffrog/137/head          -> origin/gh/fffrog/137/head
2025-08-26T20:08:14.6128628Z  * [new branch]              gh/fffrog/137/orig          -> origin/gh/fffrog/137/orig
2025-08-26T20:08:14.6129320Z  * [new branch]              gh/fffrog/138/base          -> origin/gh/fffrog/138/base
2025-08-26T20:08:14.6129686Z  * [new branch]              gh/fffrog/138/head          -> origin/gh/fffrog/138/head
2025-08-26T20:08:14.6130371Z  * [new branch]              gh/fffrog/138/orig          -> origin/gh/fffrog/138/orig
2025-08-26T20:08:14.6131184Z  * [new branch]              gh/fffrog/139/base          -> origin/gh/fffrog/139/base
2025-08-26T20:08:14.6131763Z  * [new branch]              gh/fffrog/139/head          -> origin/gh/fffrog/139/head
2025-08-26T20:08:14.6132198Z  * [new branch]              gh/fffrog/139/orig          -> origin/gh/fffrog/139/orig
2025-08-26T20:08:14.6132991Z  * [new branch]              gh/fffrog/140/base          -> origin/gh/fffrog/140/base
2025-08-26T20:08:14.6133431Z  * [new branch]              gh/fffrog/140/head          -> origin/gh/fffrog/140/head
2025-08-26T20:08:14.6133929Z  * [new branch]              gh/fffrog/140/orig          -> origin/gh/fffrog/140/orig
2025-08-26T20:08:14.6134750Z  * [new branch]              gh/fffrog/141/base          -> origin/gh/fffrog/141/base
2025-08-26T20:08:14.6135167Z  * [new branch]              gh/fffrog/141/head          -> origin/gh/fffrog/141/head
2025-08-26T20:08:14.6135777Z  * [new branch]              gh/fffrog/141/orig          -> origin/gh/fffrog/141/orig
2025-08-26T20:08:14.6136535Z  * [new branch]              gh/fffrog/142/base          -> origin/gh/fffrog/142/base
2025-08-26T20:08:14.6136979Z  * [new branch]              gh/fffrog/142/head          -> origin/gh/fffrog/142/head
2025-08-26T20:08:14.6137598Z  * [new branch]              gh/fffrog/142/orig          -> origin/gh/fffrog/142/orig
2025-08-26T20:08:14.6138576Z  * [new branch]              gh/fffrog/143/base          -> origin/gh/fffrog/143/base
2025-08-26T20:08:14.6139005Z  * [new branch]              gh/fffrog/143/head          -> origin/gh/fffrog/143/head
2025-08-26T20:08:14.6139868Z  * [new branch]              gh/fffrog/143/orig          -> origin/gh/fffrog/143/orig
2025-08-26T20:08:14.6140794Z  * [new branch]              gh/fffrog/144/base          -> origin/gh/fffrog/144/base
2025-08-26T20:08:14.6141218Z  * [new branch]              gh/fffrog/144/head          -> origin/gh/fffrog/144/head
2025-08-26T20:08:14.6141901Z  * [new branch]              gh/fffrog/144/orig          -> origin/gh/fffrog/144/orig
2025-08-26T20:08:14.6142871Z  * [new branch]              gh/gmagogsfm/1/base         -> origin/gh/gmagogsfm/1/base
2025-08-26T20:08:14.6143292Z  * [new branch]              gh/gmagogsfm/1/head         -> origin/gh/gmagogsfm/1/head
2025-08-26T20:08:14.6143856Z  * [new branch]              gh/gmagogsfm/1/orig         -> origin/gh/gmagogsfm/1/orig
2025-08-26T20:08:14.6144558Z  * [new branch]              gh/gmagogsfm/2/base         -> origin/gh/gmagogsfm/2/base
2025-08-26T20:08:14.6144912Z  * [new branch]              gh/gmagogsfm/2/head         -> origin/gh/gmagogsfm/2/head
2025-08-26T20:08:14.6145586Z  * [new branch]              gh/gmagogsfm/2/orig         -> origin/gh/gmagogsfm/2/orig
2025-08-26T20:08:14.6146245Z  * [new branch]              gh/gmagogsfm/3/base         -> origin/gh/gmagogsfm/3/base
2025-08-26T20:08:14.6146865Z  * [new branch]              gh/gmagogsfm/3/head         -> origin/gh/gmagogsfm/3/head
2025-08-26T20:08:14.6147229Z  * [new branch]              gh/gmagogsfm/3/orig         -> origin/gh/gmagogsfm/3/orig
2025-08-26T20:08:14.6148238Z  * [new branch]              gh/guangyey/130/base        -> origin/gh/guangyey/130/base
2025-08-26T20:08:14.6148665Z  * [new branch]              gh/guangyey/130/head        -> origin/gh/guangyey/130/head
2025-08-26T20:08:14.6149352Z  * [new branch]              gh/guangyey/130/orig        -> origin/gh/guangyey/130/orig
2025-08-26T20:08:14.6150216Z  * [new branch]              gh/guangyey/133/base        -> origin/gh/guangyey/133/base
2025-08-26T20:08:14.6150781Z  * [new branch]              gh/guangyey/133/head        -> origin/gh/guangyey/133/head
2025-08-26T20:08:14.6151332Z  * [new branch]              gh/guangyey/133/orig        -> origin/gh/guangyey/133/orig
2025-08-26T20:08:14.6152016Z  * [new branch]              gh/guangyey/134/base        -> origin/gh/guangyey/134/base
2025-08-26T20:08:14.6152571Z  * [new branch]              gh/guangyey/134/head        -> origin/gh/guangyey/134/head
2025-08-26T20:08:14.6153001Z  * [new branch]              gh/guangyey/134/orig        -> origin/gh/guangyey/134/orig
2025-08-26T20:08:14.6153806Z  * [new branch]              gh/guangyey/135/base        -> origin/gh/guangyey/135/base
2025-08-26T20:08:14.6154232Z  * [new branch]              gh/guangyey/135/head        -> origin/gh/guangyey/135/head
2025-08-26T20:08:14.6154892Z  * [new branch]              gh/guangyey/135/orig        -> origin/gh/guangyey/135/orig
2025-08-26T20:08:14.6155599Z  * [new branch]              gh/guangyey/139/base        -> origin/gh/guangyey/139/base
2025-08-26T20:08:14.6156102Z  * [new branch]              gh/guangyey/139/head        -> origin/gh/guangyey/139/head
2025-08-26T20:08:14.6156723Z  * [new branch]              gh/guangyey/139/orig        -> origin/gh/guangyey/139/orig
2025-08-26T20:08:14.6157483Z  * [new branch]              gh/guangyey/140/base        -> origin/gh/guangyey/140/base
2025-08-26T20:08:14.6158034Z  * [new branch]              gh/guangyey/140/head        -> origin/gh/guangyey/140/head
2025-08-26T20:08:14.6158512Z  * [new branch]              gh/guangyey/140/orig        -> origin/gh/guangyey/140/orig
2025-08-26T20:08:14.6159411Z  * [new branch]              gh/guangyey/142/base        -> origin/gh/guangyey/142/base
2025-08-26T20:08:14.6159853Z  * [new branch]              gh/guangyey/142/head        -> origin/gh/guangyey/142/head
2025-08-26T20:08:14.6160467Z  * [new branch]              gh/guangyey/142/orig        -> origin/gh/guangyey/142/orig
2025-08-26T20:08:14.6161226Z  * [new branch]              gh/guangyey/145/base        -> origin/gh/guangyey/145/base
2025-08-26T20:08:14.6161662Z  * [new branch]              gh/guangyey/145/head        -> origin/gh/guangyey/145/head
2025-08-26T20:08:14.6162253Z  * [new branch]              gh/guangyey/145/orig        -> origin/gh/guangyey/145/orig
2025-08-26T20:08:14.6163030Z  * [new branch]              gh/guangyey/153/base        -> origin/gh/guangyey/153/base
2025-08-26T20:08:14.6163626Z  * [new branch]              gh/guangyey/153/head        -> origin/gh/guangyey/153/head
2025-08-26T20:08:14.6164182Z  * [new branch]              gh/guangyey/153/orig        -> origin/gh/guangyey/153/orig
2025-08-26T20:08:14.6164919Z  * [new branch]              gh/guangyey/158/base        -> origin/gh/guangyey/158/base
2025-08-26T20:08:14.6165467Z  * [new branch]              gh/guangyey/158/head        -> origin/gh/guangyey/158/head
2025-08-26T20:08:14.6165909Z  * [new branch]              gh/guangyey/158/orig        -> origin/gh/guangyey/158/orig
2025-08-26T20:08:14.6166761Z  * [new branch]              gh/guangyey/159/base        -> origin/gh/guangyey/159/base
2025-08-26T20:08:14.6167207Z  * [new branch]              gh/guangyey/159/head        -> origin/gh/guangyey/159/head
2025-08-26T20:08:14.6167813Z  * [new branch]              gh/guangyey/159/orig        -> origin/gh/guangyey/159/orig
2025-08-26T20:08:14.6168647Z  * [new branch]              gh/guangyey/163/base        -> origin/gh/guangyey/163/base
2025-08-26T20:08:14.6169060Z  * [new branch]              gh/guangyey/163/head        -> origin/gh/guangyey/163/head
2025-08-26T20:08:14.6169664Z  * [new branch]              gh/guangyey/163/orig        -> origin/gh/guangyey/163/orig
2025-08-26T20:08:14.6170393Z  * [new branch]              gh/guangyey/165/base        -> origin/gh/guangyey/165/base
2025-08-26T20:08:14.6170832Z  * [new branch]              gh/guangyey/165/head        -> origin/gh/guangyey/165/head
2025-08-26T20:08:14.6171498Z  * [new branch]              gh/guangyey/165/orig        -> origin/gh/guangyey/165/orig
2025-08-26T20:08:14.6172234Z  * [new branch]              gh/guangyey/168/base        -> origin/gh/guangyey/168/base
2025-08-26T20:08:14.6172793Z  * [new branch]              gh/guangyey/168/head        -> origin/gh/guangyey/168/head
2025-08-26T20:08:14.6173340Z  * [new branch]              gh/guangyey/168/orig        -> origin/gh/guangyey/168/orig
2025-08-26T20:08:14.6174084Z  * [new branch]              gh/guangyey/169/base        -> origin/gh/guangyey/169/base
2025-08-26T20:08:14.6174562Z  * [new branch]              gh/guangyey/169/head        -> origin/gh/guangyey/169/head
2025-08-26T20:08:14.6175156Z  * [new branch]              gh/guangyey/169/orig        -> origin/gh/guangyey/169/orig
2025-08-26T20:08:14.6175853Z  * [new branch]              gh/guangyey/170/base        -> origin/gh/guangyey/170/base
2025-08-26T20:08:14.6176289Z  * [new branch]              gh/guangyey/170/head        -> origin/gh/guangyey/170/head
2025-08-26T20:08:14.6177048Z  * [new branch]              gh/guangyey/170/orig        -> origin/gh/guangyey/170/orig
2025-08-26T20:08:14.6178177Z  * [new branch]              gh/guangyey/171/base        -> origin/gh/guangyey/171/base
2025-08-26T20:08:14.6178718Z  * [new branch]              gh/guangyey/171/head        -> origin/gh/guangyey/171/head
2025-08-26T20:08:14.6179336Z  * [new branch]              gh/guangyey/171/orig        -> origin/gh/guangyey/171/orig
2025-08-26T20:08:14.6180349Z  * [new branch]              gh/guangyey/173/base        -> origin/gh/guangyey/173/base
2025-08-26T20:08:14.6180895Z  * [new branch]              gh/guangyey/173/head        -> origin/gh/guangyey/173/head
2025-08-26T20:08:14.6181329Z  * [new branch]              gh/guangyey/173/orig        -> origin/gh/guangyey/173/orig
2025-08-26T20:08:14.6182130Z  * [new branch]              gh/guangyey/174/base        -> origin/gh/guangyey/174/base
2025-08-26T20:08:14.6182683Z  * [new branch]              gh/guangyey/174/head        -> origin/gh/guangyey/174/head
2025-08-26T20:08:14.6183120Z  * [new branch]              gh/guangyey/174/orig        -> origin/gh/guangyey/174/orig
2025-08-26T20:08:14.6183941Z  * [new branch]              gh/guangyey/175/base        -> origin/gh/guangyey/175/base
2025-08-26T20:08:14.6184343Z  * [new branch]              gh/guangyey/175/head        -> origin/gh/guangyey/175/head
2025-08-26T20:08:14.6184985Z  * [new branch]              gh/guangyey/175/orig        -> origin/gh/guangyey/175/orig
2025-08-26T20:08:14.6185781Z  * [new branch]              gh/guangyey/176/base        -> origin/gh/guangyey/176/base
2025-08-26T20:08:14.6186208Z  * [new branch]              gh/guangyey/176/head        -> origin/gh/guangyey/176/head
2025-08-26T20:08:14.6187005Z  * [new branch]              gh/guangyey/176/orig        -> origin/gh/guangyey/176/orig
2025-08-26T20:08:14.6187758Z  * [new branch]              gh/guangyey/177/base        -> origin/gh/guangyey/177/base
2025-08-26T20:08:14.6188158Z  * [new branch]              gh/guangyey/177/head        -> origin/gh/guangyey/177/head
2025-08-26T20:08:14.6188797Z  * [new branch]              gh/guangyey/177/orig        -> origin/gh/guangyey/177/orig
2025-08-26T20:08:14.6189506Z  * [new branch]              gh/guangyey/178/base        -> origin/gh/guangyey/178/base
2025-08-26T20:08:14.6189938Z  * [new branch]              gh/guangyey/178/head        -> origin/gh/guangyey/178/head
2025-08-26T20:08:14.6190566Z  * [new branch]              gh/guangyey/178/orig        -> origin/gh/guangyey/178/orig
2025-08-26T20:08:14.6191286Z  * [new branch]              gh/guangyey/179/base        -> origin/gh/guangyey/179/base
2025-08-26T20:08:14.6191722Z  * [new branch]              gh/guangyey/179/head        -> origin/gh/guangyey/179/head
2025-08-26T20:08:14.6192316Z  * [new branch]              gh/guangyey/179/orig        -> origin/gh/guangyey/179/orig
2025-08-26T20:08:14.6193051Z  * [new branch]              gh/guangyey/180/base        -> origin/gh/guangyey/180/base
2025-08-26T20:08:14.6193478Z  * [new branch]              gh/guangyey/180/head        -> origin/gh/guangyey/180/head
2025-08-26T20:08:14.6194136Z  * [new branch]              gh/guangyey/180/orig        -> origin/gh/guangyey/180/orig
2025-08-26T20:08:14.6194869Z  * [new branch]              gh/guangyey/181/base        -> origin/gh/guangyey/181/base
2025-08-26T20:08:14.6195415Z  * [new branch]              gh/guangyey/181/head        -> origin/gh/guangyey/181/head
2025-08-26T20:08:14.6196034Z  * [new branch]              gh/guangyey/181/orig        -> origin/gh/guangyey/181/orig
2025-08-26T20:08:14.6196815Z  * [new branch]              gh/guangyey/182/base        -> origin/gh/guangyey/182/base
2025-08-26T20:08:14.6197484Z  * [new branch]              gh/guangyey/182/head        -> origin/gh/guangyey/182/head
2025-08-26T20:08:14.6197795Z  * [new branch]              gh/guangyey/182/orig        -> origin/gh/guangyey/182/orig
2025-08-26T20:08:14.6198602Z  * [new branch]              gh/guangyey/183/base        -> origin/gh/guangyey/183/base
2025-08-26T20:08:14.6199053Z  * [new branch]              gh/guangyey/183/head        -> origin/gh/guangyey/183/head
2025-08-26T20:08:14.6199674Z  * [new branch]              gh/guangyey/183/orig        -> origin/gh/guangyey/183/orig
2025-08-26T20:08:14.6200402Z  * [new branch]              gh/guangyey/184/base        -> origin/gh/guangyey/184/base
2025-08-26T20:08:14.6200964Z  * [new branch]              gh/guangyey/184/head        -> origin/gh/guangyey/184/head
2025-08-26T20:08:14.6201599Z  * [new branch]              gh/guangyey/184/orig        -> origin/gh/guangyey/184/orig
2025-08-26T20:08:14.6202366Z  * [new branch]              gh/guangyey/185/base        -> origin/gh/guangyey/185/base
2025-08-26T20:08:14.6202765Z  * [new branch]              gh/guangyey/185/head        -> origin/gh/guangyey/185/head
2025-08-26T20:08:14.6203323Z  * [new branch]              gh/guangyey/185/orig        -> origin/gh/guangyey/185/orig
2025-08-26T20:08:14.6204078Z  * [new branch]              gh/guangyey/186/base        -> origin/gh/guangyey/186/base
2025-08-26T20:08:14.6204510Z  * [new branch]              gh/guangyey/186/head        -> origin/gh/guangyey/186/head
2025-08-26T20:08:14.6205171Z  * [new branch]              gh/guangyey/186/orig        -> origin/gh/guangyey/186/orig
2025-08-26T20:08:14.6206027Z  * [new branch]              gh/guangyey/187/base        -> origin/gh/guangyey/187/base
2025-08-26T20:08:14.6206413Z  * [new branch]              gh/guangyey/187/head        -> origin/gh/guangyey/187/head
2025-08-26T20:08:14.6207076Z  * [new branch]              gh/guangyey/187/orig        -> origin/gh/guangyey/187/orig
2025-08-26T20:08:14.6207738Z  * [new branch]              gh/guangyey/188/base        -> origin/gh/guangyey/188/base
2025-08-26T20:08:14.6208308Z  * [new branch]              gh/guangyey/188/head        -> origin/gh/guangyey/188/head
2025-08-26T20:08:14.6208862Z  * [new branch]              gh/guangyey/188/orig        -> origin/gh/guangyey/188/orig
2025-08-26T20:08:14.6209579Z  * [new branch]              gh/guangyey/189/base        -> origin/gh/guangyey/189/base
2025-08-26T20:08:14.6210124Z  * [new branch]              gh/guangyey/189/head        -> origin/gh/guangyey/189/head
2025-08-26T20:08:14.6210573Z  * [new branch]              gh/guangyey/189/orig        -> origin/gh/guangyey/189/orig
2025-08-26T20:08:14.6211374Z  * [new branch]              gh/guangyey/190/base        -> origin/gh/guangyey/190/base
2025-08-26T20:08:14.6212282Z  * [new branch]              gh/guangyey/190/head        -> origin/gh/guangyey/190/head
2025-08-26T20:08:14.6212701Z  * [new branch]              gh/guangyey/190/orig        -> origin/gh/guangyey/190/orig
2025-08-26T20:08:14.6213572Z  * [new branch]              gh/guangyey/191/base        -> origin/gh/guangyey/191/base
2025-08-26T20:08:14.6213986Z  * [new branch]              gh/guangyey/191/head        -> origin/gh/guangyey/191/head
2025-08-26T20:08:14.6214862Z  * [new branch]              gh/guangyey/191/orig        -> origin/gh/guangyey/191/orig
2025-08-26T20:08:14.6215471Z  * [new branch]              gh/guangyey/79/base         -> origin/gh/guangyey/79/base
2025-08-26T20:08:14.6215904Z  * [new branch]              gh/guangyey/79/head         -> origin/gh/guangyey/79/head
2025-08-26T20:08:14.6216567Z  * [new branch]              gh/guangyey/79/orig         -> origin/gh/guangyey/79/orig
2025-08-26T20:08:14.6217290Z  * [new branch]              gh/guangyey/89/base         -> origin/gh/guangyey/89/base
2025-08-26T20:08:14.6217715Z  * [new branch]              gh/guangyey/89/head         -> origin/gh/guangyey/89/head
2025-08-26T20:08:14.6218279Z  * [new branch]              gh/guangyey/89/orig         -> origin/gh/guangyey/89/orig
2025-08-26T20:08:14.6219427Z  * [new branch]              gh/guilhermeleobas/107/base -> origin/gh/guilhermeleobas/107/base
2025-08-26T20:08:14.6219881Z  * [new branch]              gh/guilhermeleobas/107/head -> origin/gh/guilhermeleobas/107/head
2025-08-26T20:08:14.6220511Z  * [new branch]              gh/guilhermeleobas/107/orig -> origin/gh/guilhermeleobas/107/orig
2025-08-26T20:08:14.6221153Z  * [new branch]              gh/guilhermeleobas/108/base -> origin/gh/guilhermeleobas/108/base
2025-08-26T20:08:14.6221615Z  * [new branch]              gh/guilhermeleobas/108/head -> origin/gh/guilhermeleobas/108/head
2025-08-26T20:08:14.6222244Z  * [new branch]              gh/guilhermeleobas/108/orig -> origin/gh/guilhermeleobas/108/orig
2025-08-26T20:08:14.6223266Z  * [new branch]              gh/guilhermeleobas/124/base -> origin/gh/guilhermeleobas/124/base
2025-08-26T20:08:14.6223993Z  * [new branch]              gh/guilhermeleobas/124/head -> origin/gh/guilhermeleobas/124/head
2025-08-26T20:08:14.6224564Z  * [new branch]              gh/guilhermeleobas/124/orig -> origin/gh/guilhermeleobas/124/orig
2025-08-26T20:08:14.6225305Z  * [new branch]              gh/guilhermeleobas/147/base -> origin/gh/guilhermeleobas/147/base
2025-08-26T20:08:14.6225737Z  * [new branch]              gh/guilhermeleobas/147/head -> origin/gh/guilhermeleobas/147/head
2025-08-26T20:08:14.6226315Z  * [new branch]              gh/guilhermeleobas/147/orig -> origin/gh/guilhermeleobas/147/orig
2025-08-26T20:08:14.6227043Z  * [new branch]              gh/guilhermeleobas/150/base -> origin/gh/guilhermeleobas/150/base
2025-08-26T20:08:14.6227560Z  * [new branch]              gh/guilhermeleobas/150/head -> origin/gh/guilhermeleobas/150/head
2025-08-26T20:08:14.6228127Z  * [new branch]              gh/guilhermeleobas/150/orig -> origin/gh/guilhermeleobas/150/orig
2025-08-26T20:08:14.6228958Z  * [new branch]              gh/guilhermeleobas/163/base -> origin/gh/guilhermeleobas/163/base
2025-08-26T20:08:14.6229565Z  * [new branch]              gh/guilhermeleobas/163/head -> origin/gh/guilhermeleobas/163/head
2025-08-26T20:08:14.6229982Z  * [new branch]              gh/guilhermeleobas/163/orig -> origin/gh/guilhermeleobas/163/orig
2025-08-26T20:08:14.6230737Z  * [new branch]              gh/guilhermeleobas/164/base -> origin/gh/guilhermeleobas/164/base
2025-08-26T20:08:14.6231361Z  * [new branch]              gh/guilhermeleobas/164/head -> origin/gh/guilhermeleobas/164/head
2025-08-26T20:08:14.6231759Z  * [new branch]              gh/guilhermeleobas/164/orig -> origin/gh/guilhermeleobas/164/orig
2025-08-26T20:08:14.6232539Z  * [new branch]              gh/guilhermeleobas/165/base -> origin/gh/guilhermeleobas/165/base
2025-08-26T20:08:14.6233225Z  * [new branch]              gh/guilhermeleobas/165/head -> origin/gh/guilhermeleobas/165/head
2025-08-26T20:08:14.6233590Z  * [new branch]              gh/guilhermeleobas/165/orig -> origin/gh/guilhermeleobas/165/orig
2025-08-26T20:08:14.6234413Z  * [new branch]              gh/guilhermeleobas/166/base -> origin/gh/guilhermeleobas/166/base
2025-08-26T20:08:14.6235032Z  * [new branch]              gh/guilhermeleobas/166/head -> origin/gh/guilhermeleobas/166/head
2025-08-26T20:08:14.6235362Z  * [new branch]              gh/guilhermeleobas/166/orig -> origin/gh/guilhermeleobas/166/orig
2025-08-26T20:08:14.6236189Z  * [new branch]              gh/guilhermeleobas/167/base -> origin/gh/guilhermeleobas/167/base
2025-08-26T20:08:14.6236611Z  * [new branch]              gh/guilhermeleobas/167/head -> origin/gh/guilhermeleobas/167/head
2025-08-26T20:08:14.6237285Z  * [new branch]              gh/guilhermeleobas/167/orig -> origin/gh/guilhermeleobas/167/orig
2025-08-26T20:08:14.6238007Z  * [new branch]              gh/guilhermeleobas/168/base -> origin/gh/guilhermeleobas/168/base
2025-08-26T20:08:14.6238691Z  * [new branch]              gh/guilhermeleobas/168/head -> origin/gh/guilhermeleobas/168/head
2025-08-26T20:08:14.6239116Z  * [new branch]              gh/guilhermeleobas/168/orig -> origin/gh/guilhermeleobas/168/orig
2025-08-26T20:08:14.6239931Z  * [new branch]              gh/guilhermeleobas/169/base -> origin/gh/guilhermeleobas/169/base
2025-08-26T20:08:14.6240502Z  * [new branch]              gh/guilhermeleobas/169/head -> origin/gh/guilhermeleobas/169/head
2025-08-26T20:08:14.6240905Z  * [new branch]              gh/guilhermeleobas/169/orig -> origin/gh/guilhermeleobas/169/orig
2025-08-26T20:08:14.6241729Z  * [new branch]              gh/guilhermeleobas/170/base -> origin/gh/guilhermeleobas/170/base
2025-08-26T20:08:14.6242401Z  * [new branch]              gh/guilhermeleobas/170/head -> origin/gh/guilhermeleobas/170/head
2025-08-26T20:08:14.6242780Z  * [new branch]              gh/guilhermeleobas/170/orig -> origin/gh/guilhermeleobas/170/orig
2025-08-26T20:08:14.6243587Z  * [new branch]              gh/guilhermeleobas/171/base -> origin/gh/guilhermeleobas/171/base
2025-08-26T20:08:14.6244161Z  * [new branch]              gh/guilhermeleobas/171/head -> origin/gh/guilhermeleobas/171/head
2025-08-26T20:08:14.6244573Z  * [new branch]              gh/guilhermeleobas/171/orig -> origin/gh/guilhermeleobas/171/orig
2025-08-26T20:08:14.6245383Z  * [new branch]              gh/guilhermeleobas/173/base -> origin/gh/guilhermeleobas/173/base
2025-08-26T20:08:14.6245965Z  * [new branch]              gh/guilhermeleobas/173/head -> origin/gh/guilhermeleobas/173/head
2025-08-26T20:08:14.6246607Z  * [new branch]              gh/guilhermeleobas/173/orig -> origin/gh/guilhermeleobas/173/orig
2025-08-26T20:08:14.6247283Z  * [new branch]              gh/guilhermeleobas/183/base -> origin/gh/guilhermeleobas/183/base
2025-08-26T20:08:14.6247743Z  * [new branch]              gh/guilhermeleobas/183/head -> origin/gh/guilhermeleobas/183/head
2025-08-26T20:08:14.6248410Z  * [new branch]              gh/guilhermeleobas/183/orig -> origin/gh/guilhermeleobas/183/orig
2025-08-26T20:08:14.6249422Z  * [new branch]              gh/guilhermeleobas/184/base -> origin/gh/guilhermeleobas/184/base
2025-08-26T20:08:14.6249816Z  * [new branch]              gh/guilhermeleobas/184/head -> origin/gh/guilhermeleobas/184/head
2025-08-26T20:08:14.6250401Z  * [new branch]              gh/guilhermeleobas/184/orig -> origin/gh/guilhermeleobas/184/orig
2025-08-26T20:08:14.6251189Z  * [new branch]              gh/guilhermeleobas/185/base -> origin/gh/guilhermeleobas/185/base
2025-08-26T20:08:14.6252149Z  * [new branch]              gh/guilhermeleobas/185/head -> origin/gh/guilhermeleobas/185/head
2025-08-26T20:08:14.6252768Z  * [new branch]              gh/guilhermeleobas/185/orig -> origin/gh/guilhermeleobas/185/orig
2025-08-26T20:08:14.6253476Z  * [new branch]              gh/guilhermeleobas/192/base -> origin/gh/guilhermeleobas/192/base
2025-08-26T20:08:14.6254184Z  * [new branch]              gh/guilhermeleobas/192/head -> origin/gh/guilhermeleobas/192/head
2025-08-26T20:08:14.6254622Z  * [new branch]              gh/guilhermeleobas/192/orig -> origin/gh/guilhermeleobas/192/orig
2025-08-26T20:08:14.6255479Z  * [new branch]              gh/guilhermeleobas/193/base -> origin/gh/guilhermeleobas/193/base
2025-08-26T20:08:14.6255907Z  * [new branch]              gh/guilhermeleobas/193/head -> origin/gh/guilhermeleobas/193/head
2025-08-26T20:08:14.6256577Z  * [new branch]              gh/guilhermeleobas/193/orig -> origin/gh/guilhermeleobas/193/orig
2025-08-26T20:08:14.6257305Z  * [new branch]              gh/guilhermeleobas/194/base -> origin/gh/guilhermeleobas/194/base
2025-08-26T20:08:14.6257771Z  * [new branch]              gh/guilhermeleobas/194/head -> origin/gh/guilhermeleobas/194/head
2025-08-26T20:08:14.6258379Z  * [new branch]              gh/guilhermeleobas/194/orig -> origin/gh/guilhermeleobas/194/orig
2025-08-26T20:08:14.6259111Z  * [new branch]              gh/guilhermeleobas/203/base -> origin/gh/guilhermeleobas/203/base
2025-08-26T20:08:14.6259562Z  * [new branch]              gh/guilhermeleobas/203/head -> origin/gh/guilhermeleobas/203/head
2025-08-26T20:08:14.6260194Z  * [new branch]              gh/guilhermeleobas/203/orig -> origin/gh/guilhermeleobas/203/orig
2025-08-26T20:08:14.6260848Z  * [new branch]              gh/guilhermeleobas/204/base -> origin/gh/guilhermeleobas/204/base
2025-08-26T20:08:14.6261609Z  * [new branch]              gh/guilhermeleobas/204/head -> origin/gh/guilhermeleobas/204/head
2025-08-26T20:08:14.6261961Z  * [new branch]              gh/guilhermeleobas/204/orig -> origin/gh/guilhermeleobas/204/orig
2025-08-26T20:08:14.6262818Z  * [new branch]              gh/guilhermeleobas/205/base -> origin/gh/guilhermeleobas/205/base
2025-08-26T20:08:14.6263397Z  * [new branch]              gh/guilhermeleobas/205/head -> origin/gh/guilhermeleobas/205/head
2025-08-26T20:08:14.6263832Z  * [new branch]              gh/guilhermeleobas/205/orig -> origin/gh/guilhermeleobas/205/orig
2025-08-26T20:08:14.6264587Z  * [new branch]              gh/guilhermeleobas/206/base -> origin/gh/guilhermeleobas/206/base
2025-08-26T20:08:14.6265016Z  * [new branch]              gh/guilhermeleobas/206/head -> origin/gh/guilhermeleobas/206/head
2025-08-26T20:08:14.6265594Z  * [new branch]              gh/guilhermeleobas/206/orig -> origin/gh/guilhermeleobas/206/orig
2025-08-26T20:08:14.6266405Z  * [new branch]              gh/guilhermeleobas/209/base -> origin/gh/guilhermeleobas/209/base
2025-08-26T20:08:14.6266876Z  * [new branch]              gh/guilhermeleobas/209/head -> origin/gh/guilhermeleobas/209/head
2025-08-26T20:08:14.6267489Z  * [new branch]              gh/guilhermeleobas/209/orig -> origin/gh/guilhermeleobas/209/orig
2025-08-26T20:08:14.6268253Z  * [new branch]              gh/guilhermeleobas/210/base -> origin/gh/guilhermeleobas/210/base
2025-08-26T20:08:14.6268914Z  * [new branch]              gh/guilhermeleobas/210/head -> origin/gh/guilhermeleobas/210/head
2025-08-26T20:08:14.6269301Z  * [new branch]              gh/guilhermeleobas/210/orig -> origin/gh/guilhermeleobas/210/orig
2025-08-26T20:08:14.6270358Z  * [new branch]              gh/guilhermeleobas/211/base -> origin/gh/guilhermeleobas/211/base
2025-08-26T20:08:14.6270730Z  * [new branch]              gh/guilhermeleobas/211/head -> origin/gh/guilhermeleobas/211/head
2025-08-26T20:08:14.6271356Z  * [new branch]              gh/guilhermeleobas/211/orig -> origin/gh/guilhermeleobas/211/orig
2025-08-26T20:08:14.6272055Z  * [new branch]              gh/guilhermeleobas/213/base -> origin/gh/guilhermeleobas/213/base
2025-08-26T20:08:14.6272502Z  * [new branch]              gh/guilhermeleobas/213/head -> origin/gh/guilhermeleobas/213/head
2025-08-26T20:08:14.6273137Z  * [new branch]              gh/guilhermeleobas/213/orig -> origin/gh/guilhermeleobas/213/orig
2025-08-26T20:08:14.6273911Z  * [new branch]              gh/guilhermeleobas/214/base -> origin/gh/guilhermeleobas/214/base
2025-08-26T20:08:14.6274359Z  * [new branch]              gh/guilhermeleobas/214/head -> origin/gh/guilhermeleobas/214/head
2025-08-26T20:08:14.6274938Z  * [new branch]              gh/guilhermeleobas/214/orig -> origin/gh/guilhermeleobas/214/orig
2025-08-26T20:08:14.6276026Z  * [new branch]              gh/guilhermeleobas/215/base -> origin/gh/guilhermeleobas/215/base
2025-08-26T20:08:14.6276635Z  * [new branch]              gh/guilhermeleobas/215/head -> origin/gh/guilhermeleobas/215/head
2025-08-26T20:08:14.6277090Z  * [new branch]              gh/guilhermeleobas/215/orig -> origin/gh/guilhermeleobas/215/orig
2025-08-26T20:08:14.6277922Z  * [new branch]              gh/guilhermeleobas/216/base -> origin/gh/guilhermeleobas/216/base
2025-08-26T20:08:14.6278346Z  * [new branch]              gh/guilhermeleobas/216/head -> origin/gh/guilhermeleobas/216/head
2025-08-26T20:08:14.6278918Z  * [new branch]              gh/guilhermeleobas/216/orig -> origin/gh/guilhermeleobas/216/orig
2025-08-26T20:08:14.6279768Z  * [new branch]              gh/guilhermeleobas/217/base -> origin/gh/guilhermeleobas/217/base
2025-08-26T20:08:14.6280225Z  * [new branch]              gh/guilhermeleobas/217/head -> origin/gh/guilhermeleobas/217/head
2025-08-26T20:08:14.6280874Z  * [new branch]              gh/guilhermeleobas/217/orig -> origin/gh/guilhermeleobas/217/orig
2025-08-26T20:08:14.6281599Z  * [new branch]              gh/guilhermeleobas/218/base -> origin/gh/guilhermeleobas/218/base
2025-08-26T20:08:14.6282057Z  * [new branch]              gh/guilhermeleobas/218/head -> origin/gh/guilhermeleobas/218/head
2025-08-26T20:08:14.6282673Z  * [new branch]              gh/guilhermeleobas/218/orig -> origin/gh/guilhermeleobas/218/orig
2025-08-26T20:08:14.6283374Z  * [new branch]              gh/guilhermeleobas/219/base -> origin/gh/guilhermeleobas/219/base
2025-08-26T20:08:14.6283969Z  * [new branch]              gh/guilhermeleobas/219/head -> origin/gh/guilhermeleobas/219/head
2025-08-26T20:08:14.6284403Z  * [new branch]              gh/guilhermeleobas/219/orig -> origin/gh/guilhermeleobas/219/orig
2025-08-26T20:08:14.6285250Z  * [new branch]              gh/guilhermeleobas/220/base -> origin/gh/guilhermeleobas/220/base
2025-08-26T20:08:14.6285705Z  * [new branch]              gh/guilhermeleobas/220/head -> origin/gh/guilhermeleobas/220/head
2025-08-26T20:08:14.6286316Z  * [new branch]              gh/guilhermeleobas/220/orig -> origin/gh/guilhermeleobas/220/orig
2025-08-26T20:08:14.6287065Z  * [new branch]              gh/guilhermeleobas/221/base -> origin/gh/guilhermeleobas/221/base
2025-08-26T20:08:14.6287508Z  * [new branch]              gh/guilhermeleobas/221/head -> origin/gh/guilhermeleobas/221/head
2025-08-26T20:08:14.6288131Z  * [new branch]              gh/guilhermeleobas/221/orig -> origin/gh/guilhermeleobas/221/orig
2025-08-26T20:08:14.6288973Z  * [new branch]              gh/guilhermeleobas/222/base -> origin/gh/guilhermeleobas/222/base
2025-08-26T20:08:14.6289409Z  * [new branch]              gh/guilhermeleobas/222/head -> origin/gh/guilhermeleobas/222/head
2025-08-26T20:08:14.6289988Z  * [new branch]              gh/guilhermeleobas/222/orig -> origin/gh/guilhermeleobas/222/orig
2025-08-26T20:08:14.6290749Z  * [new branch]              gh/guilhermeleobas/223/base -> origin/gh/guilhermeleobas/223/base
2025-08-26T20:08:14.6291358Z  * [new branch]              gh/guilhermeleobas/223/head -> origin/gh/guilhermeleobas/223/head
2025-08-26T20:08:14.6291976Z  * [new branch]              gh/guilhermeleobas/223/orig -> origin/gh/guilhermeleobas/223/orig
2025-08-26T20:08:14.6292681Z  * [new branch]              gh/guilhermeleobas/224/base -> origin/gh/guilhermeleobas/224/base
2025-08-26T20:08:14.6293151Z  * [new branch]              gh/guilhermeleobas/224/head -> origin/gh/guilhermeleobas/224/head
2025-08-26T20:08:14.6293759Z  * [new branch]              gh/guilhermeleobas/224/orig -> origin/gh/guilhermeleobas/224/orig
2025-08-26T20:08:14.6294435Z  * [new branch]              gh/guilhermeleobas/225/base -> origin/gh/guilhermeleobas/225/base
2025-08-26T20:08:14.6295007Z  * [new branch]              gh/guilhermeleobas/225/head -> origin/gh/guilhermeleobas/225/head
2025-08-26T20:08:14.6295417Z  * [new branch]              gh/guilhermeleobas/225/orig -> origin/gh/guilhermeleobas/225/orig
2025-08-26T20:08:14.6296186Z  * [new branch]              gh/guilhermeleobas/226/base -> origin/gh/guilhermeleobas/226/base
2025-08-26T20:08:14.6296616Z  * [new branch]              gh/guilhermeleobas/226/head -> origin/gh/guilhermeleobas/226/head
2025-08-26T20:08:14.6297233Z  * [new branch]              gh/guilhermeleobas/226/orig -> origin/gh/guilhermeleobas/226/orig
2025-08-26T20:08:14.6298086Z  * [new branch]              gh/guilhermeleobas/227/base -> origin/gh/guilhermeleobas/227/base
2025-08-26T20:08:14.6298705Z  * [new branch]              gh/guilhermeleobas/227/head -> origin/gh/guilhermeleobas/227/head
2025-08-26T20:08:14.6299273Z  * [new branch]              gh/guilhermeleobas/227/orig -> origin/gh/guilhermeleobas/227/orig
2025-08-26T20:08:14.6300022Z  * [new branch]              gh/guilhermeleobas/228/base -> origin/gh/guilhermeleobas/228/base
2025-08-26T20:08:14.6300459Z  * [new branch]              gh/guilhermeleobas/228/head -> origin/gh/guilhermeleobas/228/head
2025-08-26T20:08:14.6301036Z  * [new branch]              gh/guilhermeleobas/228/orig -> origin/gh/guilhermeleobas/228/orig
2025-08-26T20:08:14.6301726Z  * [new branch]              gh/guilhermeleobas/229/base -> origin/gh/guilhermeleobas/229/base
2025-08-26T20:08:14.6302187Z  * [new branch]              gh/guilhermeleobas/229/head -> origin/gh/guilhermeleobas/229/head
2025-08-26T20:08:14.6302865Z  * [new branch]              gh/guilhermeleobas/229/orig -> origin/gh/guilhermeleobas/229/orig
2025-08-26T20:08:14.6303509Z  * [new branch]              gh/guilhermeleobas/230/base -> origin/gh/guilhermeleobas/230/base
2025-08-26T20:08:14.6304094Z  * [new branch]              gh/guilhermeleobas/230/head -> origin/gh/guilhermeleobas/230/head
2025-08-26T20:08:14.6304543Z  * [new branch]              gh/guilhermeleobas/230/orig -> origin/gh/guilhermeleobas/230/orig
2025-08-26T20:08:14.6305380Z  * [new branch]              gh/guilhermeleobas/231/base -> origin/gh/guilhermeleobas/231/base
2025-08-26T20:08:14.6305967Z  * [new branch]              gh/guilhermeleobas/231/head -> origin/gh/guilhermeleobas/231/head
2025-08-26T20:08:14.6306626Z  * [new branch]              gh/guilhermeleobas/231/orig -> origin/gh/guilhermeleobas/231/orig
2025-08-26T20:08:14.6307337Z  * [new branch]              gh/guilhermeleobas/232/base -> origin/gh/guilhermeleobas/232/base
2025-08-26T20:08:14.6307787Z  * [new branch]              gh/guilhermeleobas/232/head -> origin/gh/guilhermeleobas/232/head
2025-08-26T20:08:14.6308365Z  * [new branch]              gh/guilhermeleobas/232/orig -> origin/gh/guilhermeleobas/232/orig
2025-08-26T20:08:14.6309120Z  * [new branch]              gh/guilhermeleobas/233/base -> origin/gh/guilhermeleobas/233/base
2025-08-26T20:08:14.6309516Z  * [new branch]              gh/guilhermeleobas/233/head -> origin/gh/guilhermeleobas/233/head
2025-08-26T20:08:14.6310135Z  * [new branch]              gh/guilhermeleobas/233/orig -> origin/gh/guilhermeleobas/233/orig
2025-08-26T20:08:14.6310983Z  * [new branch]              gh/guilhermeleobas/234/base -> origin/gh/guilhermeleobas/234/base
2025-08-26T20:08:14.6311375Z  * [new branch]              gh/guilhermeleobas/234/head -> origin/gh/guilhermeleobas/234/head
2025-08-26T20:08:14.6312007Z  * [new branch]              gh/guilhermeleobas/234/orig -> origin/gh/guilhermeleobas/234/orig
2025-08-26T20:08:14.6312732Z  * [new branch]              gh/guilhermeleobas/235/base -> origin/gh/guilhermeleobas/235/base
2025-08-26T20:08:14.6313381Z  * [new branch]              gh/guilhermeleobas/235/head -> origin/gh/guilhermeleobas/235/head
2025-08-26T20:08:14.6313819Z  * [new branch]              gh/guilhermeleobas/235/orig -> origin/gh/guilhermeleobas/235/orig
2025-08-26T20:08:14.6314649Z  * [new branch]              gh/guilhermeleobas/236/base -> origin/gh/guilhermeleobas/236/base
2025-08-26T20:08:14.6315052Z  * [new branch]              gh/guilhermeleobas/236/head -> origin/gh/guilhermeleobas/236/head
2025-08-26T20:08:14.6315777Z  * [new branch]              gh/guilhermeleobas/236/orig -> origin/gh/guilhermeleobas/236/orig
2025-08-26T20:08:14.6316489Z  * [new branch]              gh/guilhermeleobas/237/base -> origin/gh/guilhermeleobas/237/base
2025-08-26T20:08:14.6316923Z  * [new branch]              gh/guilhermeleobas/237/head -> origin/gh/guilhermeleobas/237/head
2025-08-26T20:08:14.6317510Z  * [new branch]              gh/guilhermeleobas/237/orig -> origin/gh/guilhermeleobas/237/orig
2025-08-26T20:08:14.6318274Z  * [new branch]              gh/guilhermeleobas/238/base -> origin/gh/guilhermeleobas/238/base
2025-08-26T20:08:14.6318706Z  * [new branch]              gh/guilhermeleobas/238/head -> origin/gh/guilhermeleobas/238/head
2025-08-26T20:08:14.6319283Z  * [new branch]              gh/guilhermeleobas/238/orig -> origin/gh/guilhermeleobas/238/orig
2025-08-26T20:08:14.6320073Z  * [new branch]              gh/guilhermeleobas/239/base -> origin/gh/guilhermeleobas/239/base
2025-08-26T20:08:14.6320683Z  * [new branch]              gh/guilhermeleobas/239/head -> origin/gh/guilhermeleobas/239/head
2025-08-26T20:08:14.6321104Z  * [new branch]              gh/guilhermeleobas/239/orig -> origin/gh/guilhermeleobas/239/orig
2025-08-26T20:08:14.6321933Z  * [new branch]              gh/guilhermeleobas/73/base  -> origin/gh/guilhermeleobas/73/base
2025-08-26T20:08:14.6322586Z  * [new branch]              gh/guilhermeleobas/73/head  -> origin/gh/guilhermeleobas/73/head
2025-08-26T20:08:14.6322961Z  * [new branch]              gh/guilhermeleobas/73/orig  -> origin/gh/guilhermeleobas/73/orig
2025-08-26T20:08:14.6324414Z  * [new branch]              gh/henrylhtsang/103/base    -> origin/gh/henrylhtsang/103/base
2025-08-26T20:08:14.6324996Z  * [new branch]              gh/henrylhtsang/103/head    -> origin/gh/henrylhtsang/103/head
2025-08-26T20:08:14.6325656Z  * [new branch]              gh/henrylhtsang/103/orig    -> origin/gh/henrylhtsang/103/orig
2025-08-26T20:08:14.6326451Z  * [new branch]              gh/henrylhtsang/132/base    -> origin/gh/henrylhtsang/132/base
2025-08-26T20:08:14.6327027Z  * [new branch]              gh/henrylhtsang/132/head    -> origin/gh/henrylhtsang/132/head
2025-08-26T20:08:14.6327601Z  * [new branch]              gh/henrylhtsang/132/orig    -> origin/gh/henrylhtsang/132/orig
2025-08-26T20:08:14.6328473Z  * [new branch]              gh/henrylhtsang/133/base    -> origin/gh/henrylhtsang/133/base
2025-08-26T20:08:14.6329040Z  * [new branch]              gh/henrylhtsang/133/head    -> origin/gh/henrylhtsang/133/head
2025-08-26T20:08:14.6329498Z  * [new branch]              gh/henrylhtsang/133/orig    -> origin/gh/henrylhtsang/133/orig
2025-08-26T20:08:14.6330361Z  * [new branch]              gh/henrylhtsang/134/base    -> origin/gh/henrylhtsang/134/base
2025-08-26T20:08:14.6330928Z  * [new branch]              gh/henrylhtsang/134/head    -> origin/gh/henrylhtsang/134/head
2025-08-26T20:08:14.6331374Z  * [new branch]              gh/henrylhtsang/134/orig    -> origin/gh/henrylhtsang/134/orig
2025-08-26T20:08:14.6332219Z  * [new branch]              gh/henrylhtsang/135/base    -> origin/gh/henrylhtsang/135/base
2025-08-26T20:08:14.6332994Z  * [new branch]              gh/henrylhtsang/135/head    -> origin/gh/henrylhtsang/135/head
2025-08-26T20:08:14.6333239Z  * [new branch]              gh/henrylhtsang/135/orig    -> origin/gh/henrylhtsang/135/orig
2025-08-26T20:08:14.6334144Z  * [new branch]              gh/henrylhtsang/136/base    -> origin/gh/henrylhtsang/136/base
2025-08-26T20:08:14.6334507Z  * [new branch]              gh/henrylhtsang/136/head    -> origin/gh/henrylhtsang/136/head
2025-08-26T20:08:14.6335318Z  * [new branch]              gh/henrylhtsang/136/orig    -> origin/gh/henrylhtsang/136/orig
2025-08-26T20:08:14.6336021Z  * [new branch]              gh/henrylhtsang/137/base    -> origin/gh/henrylhtsang/137/base
2025-08-26T20:08:14.6336477Z  * [new branch]              gh/henrylhtsang/137/head    -> origin/gh/henrylhtsang/137/head
2025-08-26T20:08:14.6336921Z  * [new branch]              gh/henrylhtsang/137/orig    -> origin/gh/henrylhtsang/137/orig
2025-08-26T20:08:14.6337716Z  * [new branch]              gh/henrylhtsang/138/base    -> origin/gh/henrylhtsang/138/base
2025-08-26T20:08:14.6338158Z  * [new branch]              gh/henrylhtsang/138/head    -> origin/gh/henrylhtsang/138/head
2025-08-26T20:08:14.6338764Z  * [new branch]              gh/henrylhtsang/138/orig    -> origin/gh/henrylhtsang/138/orig
2025-08-26T20:08:14.6339503Z  * [new branch]              gh/henrylhtsang/139/base    -> origin/gh/henrylhtsang/139/base
2025-08-26T20:08:14.6339967Z  * [new branch]              gh/henrylhtsang/139/head    -> origin/gh/henrylhtsang/139/head
2025-08-26T20:08:14.6340547Z  * [new branch]              gh/henrylhtsang/139/orig    -> origin/gh/henrylhtsang/139/orig
2025-08-26T20:08:14.6341401Z  * [new branch]              gh/henrylhtsang/140/base    -> origin/gh/henrylhtsang/140/base
2025-08-26T20:08:14.6382350Z  * [new branch]              gh/henrylhtsang/140/head    -> origin/gh/henrylhtsang/140/head
2025-08-26T20:08:14.6382641Z  * [new branch]              gh/henrylhtsang/140/orig    -> origin/gh/henrylhtsang/140/orig
2025-08-26T20:08:14.6382881Z  * [new branch]              gh/henrylhtsang/141/base    -> origin/gh/henrylhtsang/141/base
2025-08-26T20:08:14.6383030Z  * [new branch]              gh/henrylhtsang/141/head    -> origin/gh/henrylhtsang/141/head
2025-08-26T20:08:14.6383180Z  * [new branch]              gh/henrylhtsang/141/orig    -> origin/gh/henrylhtsang/141/orig
2025-08-26T20:08:14.6383470Z  * [new branch]              gh/henrylhtsang/142/base    -> origin/gh/henrylhtsang/142/base
2025-08-26T20:08:14.6383621Z  * [new branch]              gh/henrylhtsang/142/head    -> origin/gh/henrylhtsang/142/head
2025-08-26T20:08:14.6383758Z  * [new branch]              gh/henrylhtsang/142/orig    -> origin/gh/henrylhtsang/142/orig
2025-08-26T20:08:14.6383907Z  * [new branch]              gh/henrylhtsang/143/base    -> origin/gh/henrylhtsang/143/base
2025-08-26T20:08:14.6384046Z  * [new branch]              gh/henrylhtsang/143/head    -> origin/gh/henrylhtsang/143/head
2025-08-26T20:08:14.6384184Z  * [new branch]              gh/henrylhtsang/143/orig    -> origin/gh/henrylhtsang/143/orig
2025-08-26T20:08:14.6384331Z  * [new branch]              gh/henrylhtsang/144/base    -> origin/gh/henrylhtsang/144/base
2025-08-26T20:08:14.6384467Z  * [new branch]              gh/henrylhtsang/144/head    -> origin/gh/henrylhtsang/144/head
2025-08-26T20:08:14.6384610Z  * [new branch]              gh/henrylhtsang/144/orig    -> origin/gh/henrylhtsang/144/orig
2025-08-26T20:08:14.6384745Z  * [new branch]              gh/henrylhtsang/145/base    -> origin/gh/henrylhtsang/145/base
2025-08-26T20:08:14.6384890Z  * [new branch]              gh/henrylhtsang/145/head    -> origin/gh/henrylhtsang/145/head
2025-08-26T20:08:14.6385027Z  * [new branch]              gh/henrylhtsang/145/orig    -> origin/gh/henrylhtsang/145/orig
2025-08-26T20:08:14.6385159Z  * [new branch]              gh/henrylhtsang/146/base    -> origin/gh/henrylhtsang/146/base
2025-08-26T20:08:14.6385376Z  * [new branch]              gh/henrylhtsang/146/head    -> origin/gh/henrylhtsang/146/head
2025-08-26T20:08:14.6385516Z  * [new branch]              gh/henrylhtsang/146/orig    -> origin/gh/henrylhtsang/146/orig
2025-08-26T20:08:14.6385660Z  * [new branch]              gh/henrylhtsang/147/base    -> origin/gh/henrylhtsang/147/base
2025-08-26T20:08:14.6385796Z  * [new branch]              gh/henrylhtsang/147/head    -> origin/gh/henrylhtsang/147/head
2025-08-26T20:08:14.6385936Z  * [new branch]              gh/henrylhtsang/147/orig    -> origin/gh/henrylhtsang/147/orig
2025-08-26T20:08:14.6386078Z  * [new branch]              gh/henrylhtsang/148/base    -> origin/gh/henrylhtsang/148/base
2025-08-26T20:08:14.6386213Z  * [new branch]              gh/henrylhtsang/148/head    -> origin/gh/henrylhtsang/148/head
2025-08-26T20:08:14.6386356Z  * [new branch]              gh/henrylhtsang/148/orig    -> origin/gh/henrylhtsang/148/orig
2025-08-26T20:08:14.6386491Z  * [new branch]              gh/henrylhtsang/149/base    -> origin/gh/henrylhtsang/149/base
2025-08-26T20:08:14.6386636Z  * [new branch]              gh/henrylhtsang/149/head    -> origin/gh/henrylhtsang/149/head
2025-08-26T20:08:14.6386770Z  * [new branch]              gh/henrylhtsang/149/orig    -> origin/gh/henrylhtsang/149/orig
2025-08-26T20:08:14.6386906Z  * [new branch]              gh/huydhn/1/next            -> origin/gh/huydhn/1/next
2025-08-26T20:08:14.6387041Z  * [new branch]              gh/huydhn/2/next            -> origin/gh/huydhn/2/next
2025-08-26T20:08:14.6387161Z  * [new branch]              gh/huydhn/3/next            -> origin/gh/huydhn/3/next
2025-08-26T20:08:14.6387287Z  * [new branch]              gh/huydhn/4/next            -> origin/gh/huydhn/4/next
2025-08-26T20:08:14.6387406Z  * [new branch]              gh/huydhn/5/next            -> origin/gh/huydhn/5/next
2025-08-26T20:08:14.6387523Z  * [new branch]              gh/huydhn/6/head            -> origin/gh/huydhn/6/head
2025-08-26T20:08:14.6387648Z  * [new branch]              gh/huydhn/6/next            -> origin/gh/huydhn/6/next
2025-08-26T20:08:14.6387766Z  * [new branch]              gh/huydhn/6/orig            -> origin/gh/huydhn/6/orig
2025-08-26T20:08:14.6387902Z  * [new branch]              gh/int3/97/base             -> origin/gh/int3/97/base
2025-08-26T20:08:14.6388022Z  * [new branch]              gh/int3/97/head             -> origin/gh/int3/97/head
2025-08-26T20:08:14.6388156Z  * [new branch]              gh/isuruf/101/base          -> origin/gh/isuruf/101/base
2025-08-26T20:08:14.6388314Z  * [new branch]              gh/isuruf/101/head          -> origin/gh/isuruf/101/head
2025-08-26T20:08:14.6388434Z  * [new branch]              gh/isuruf/116/base          -> origin/gh/isuruf/116/base
2025-08-26T20:08:14.6388563Z  * [new branch]              gh/isuruf/116/head          -> origin/gh/isuruf/116/head
2025-08-26T20:08:14.6388683Z  * [new branch]              gh/isuruf/116/orig          -> origin/gh/isuruf/116/orig
2025-08-26T20:08:14.6388807Z  * [new branch]              gh/isuruf/141/base          -> origin/gh/isuruf/141/base
2025-08-26T20:08:14.6388927Z  * [new branch]              gh/isuruf/141/head          -> origin/gh/isuruf/141/head
2025-08-26T20:08:14.6389054Z  * [new branch]              gh/isuruf/141/orig          -> origin/gh/isuruf/141/orig
2025-08-26T20:08:14.6389172Z  * [new branch]              gh/isuruf/142/base          -> origin/gh/isuruf/142/base
2025-08-26T20:08:14.6389289Z  * [new branch]              gh/isuruf/142/head          -> origin/gh/isuruf/142/head
2025-08-26T20:08:14.6389417Z  * [new branch]              gh/isuruf/142/orig          -> origin/gh/isuruf/142/orig
2025-08-26T20:08:14.6389537Z  * [new branch]              gh/isuruf/143/base          -> origin/gh/isuruf/143/base
2025-08-26T20:08:14.6389662Z  * [new branch]              gh/isuruf/143/head          -> origin/gh/isuruf/143/head
2025-08-26T20:08:14.6389780Z  * [new branch]              gh/isuruf/143/orig          -> origin/gh/isuruf/143/orig
2025-08-26T20:08:14.6389903Z  * [new branch]              gh/isuruf/81/base           -> origin/gh/isuruf/81/base
2025-08-26T20:08:14.6390057Z  * [new branch]              gh/isuruf/81/head           -> origin/gh/isuruf/81/head
2025-08-26T20:08:14.6390175Z  * [new branch]              gh/isuruf/81/orig           -> origin/gh/isuruf/81/orig
2025-08-26T20:08:14.6390322Z  * [new branch]              gh/jamesjwu/140/base        -> origin/gh/jamesjwu/140/base
2025-08-26T20:08:14.6390451Z  * [new branch]              gh/jamesjwu/140/head        -> origin/gh/jamesjwu/140/head
2025-08-26T20:08:14.6390587Z  * [new branch]              gh/jamesjwu/140/orig        -> origin/gh/jamesjwu/140/orig
2025-08-26T20:08:14.6390729Z  * [new branch]              gh/jamesjwu/150/base        -> origin/gh/jamesjwu/150/base
2025-08-26T20:08:14.6390853Z  * [new branch]              gh/jamesjwu/150/head        -> origin/gh/jamesjwu/150/head
2025-08-26T20:08:14.6390988Z  * [new branch]              gh/jamesjwu/150/orig        -> origin/gh/jamesjwu/150/orig
2025-08-26T20:08:14.6391112Z  * [new branch]              gh/jamesjwu/154/base        -> origin/gh/jamesjwu/154/base
2025-08-26T20:08:14.6391261Z  * [new branch]              gh/jamesjwu/154/head        -> origin/gh/jamesjwu/154/head
2025-08-26T20:08:14.6391387Z  * [new branch]              gh/jamesjwu/154/orig        -> origin/gh/jamesjwu/154/orig
2025-08-26T20:08:14.6391527Z  * [new branch]              gh/jamesjwu/155/base        -> origin/gh/jamesjwu/155/base
2025-08-26T20:08:14.6391653Z  * [new branch]              gh/jamesjwu/155/head        -> origin/gh/jamesjwu/155/head
2025-08-26T20:08:14.6391794Z  * [new branch]              gh/jamesjwu/155/orig        -> origin/gh/jamesjwu/155/orig
2025-08-26T20:08:14.6391928Z  * [new branch]              gh/jamesjwu/159/base        -> origin/gh/jamesjwu/159/base
2025-08-26T20:08:14.6392051Z  * [new branch]              gh/jamesjwu/159/head        -> origin/gh/jamesjwu/159/head
2025-08-26T20:08:14.6392185Z  * [new branch]              gh/jamesjwu/159/orig        -> origin/gh/jamesjwu/159/orig
2025-08-26T20:08:14.6392322Z  * [new branch]              gh/jamesjwu/163/base        -> origin/gh/jamesjwu/163/base
2025-08-26T20:08:14.6392455Z  * [new branch]              gh/jamesjwu/163/head        -> origin/gh/jamesjwu/163/head
2025-08-26T20:08:14.6392578Z  * [new branch]              gh/jamesjwu/163/orig        -> origin/gh/jamesjwu/163/orig
2025-08-26T20:08:14.6393008Z  * [new branch]              gh/jamesjwu/171/base        -> origin/gh/jamesjwu/171/base
2025-08-26T20:08:14.6393350Z  * [new branch]              gh/jamesjwu/171/head        -> origin/gh/jamesjwu/171/head
2025-08-26T20:08:14.6393703Z  * [new branch]              gh/jamesjwu/171/orig        -> origin/gh/jamesjwu/171/orig
2025-08-26T20:08:14.6394489Z  * [new branch]              gh/jamesjwu/175/base        -> origin/gh/jamesjwu/175/base
2025-08-26T20:08:14.6395160Z  * [new branch]              gh/jamesjwu/175/head        -> origin/gh/jamesjwu/175/head
2025-08-26T20:08:14.6395601Z  * [new branch]              gh/jamesjwu/175/orig        -> origin/gh/jamesjwu/175/orig
2025-08-26T20:08:14.6396498Z  * [new branch]              gh/jamesjwu/176/base        -> origin/gh/jamesjwu/176/base
2025-08-26T20:08:14.6396910Z  * [new branch]              gh/jamesjwu/176/head        -> origin/gh/jamesjwu/176/head
2025-08-26T20:08:14.6397555Z  * [new branch]              gh/jamesjwu/176/orig        -> origin/gh/jamesjwu/176/orig
2025-08-26T20:08:14.6398218Z  * [new branch]              gh/jamesjwu/180/base        -> origin/gh/jamesjwu/180/base
2025-08-26T20:08:14.6398648Z  * [new branch]              gh/jamesjwu/180/head        -> origin/gh/jamesjwu/180/head
2025-08-26T20:08:14.6399286Z  * [new branch]              gh/jamesjwu/180/orig        -> origin/gh/jamesjwu/180/orig
2025-08-26T20:08:14.6399972Z  * [new branch]              gh/jamesjwu/181/base        -> origin/gh/jamesjwu/181/base
2025-08-26T20:08:14.6400672Z  * [new branch]              gh/jamesjwu/181/head        -> origin/gh/jamesjwu/181/head
2025-08-26T20:08:14.6401385Z  * [new branch]              gh/jamesjwu/181/orig        -> origin/gh/jamesjwu/181/orig
2025-08-26T20:08:14.6402188Z  * [new branch]              gh/jamesjwu/182/base        -> origin/gh/jamesjwu/182/base
2025-08-26T20:08:14.6402612Z  * [new branch]              gh/jamesjwu/182/head        -> origin/gh/jamesjwu/182/head
2025-08-26T20:08:14.6403329Z  * [new branch]              gh/jamesjwu/182/orig        -> origin/gh/jamesjwu/182/orig
2025-08-26T20:08:14.6404265Z  * [new branch]              gh/jamesjwu/183/base        -> origin/gh/jamesjwu/183/base
2025-08-26T20:08:14.6404824Z  * [new branch]              gh/jamesjwu/183/head        -> origin/gh/jamesjwu/183/head
2025-08-26T20:08:14.6405228Z  * [new branch]              gh/jamesjwu/183/orig        -> origin/gh/jamesjwu/183/orig
2025-08-26T20:08:14.6406032Z  * [new branch]              gh/jamesjwu/184/base        -> origin/gh/jamesjwu/184/base
2025-08-26T20:08:14.6406464Z  * [new branch]              gh/jamesjwu/184/head        -> origin/gh/jamesjwu/184/head
2025-08-26T20:08:14.6407071Z  * [new branch]              gh/jamesjwu/184/orig        -> origin/gh/jamesjwu/184/orig
2025-08-26T20:08:14.6407817Z  * [new branch]              gh/jamesjwu/185/base        -> origin/gh/jamesjwu/185/base
2025-08-26T20:08:14.6408253Z  * [new branch]              gh/jamesjwu/185/head        -> origin/gh/jamesjwu/185/head
2025-08-26T20:08:14.6408843Z  * [new branch]              gh/jamesjwu/185/orig        -> origin/gh/jamesjwu/185/orig
2025-08-26T20:08:14.6409648Z  * [new branch]              gh/jamesjwu/52/base         -> origin/gh/jamesjwu/52/base
2025-08-26T20:08:14.6410211Z  * [new branch]              gh/jamesjwu/52/head         -> origin/gh/jamesjwu/52/head
2025-08-26T20:08:14.6410864Z  * [new branch]              gh/jamesjwu/53/base         -> origin/gh/jamesjwu/53/base
2025-08-26T20:08:14.6411424Z  * [new branch]              gh/jamesjwu/53/head         -> origin/gh/jamesjwu/53/head
2025-08-26T20:08:14.6412388Z  * [new branch]              gh/jamesjwu/54/base         -> origin/gh/jamesjwu/54/base
2025-08-26T20:08:14.6412819Z  * [new branch]              gh/jamesjwu/54/head         -> origin/gh/jamesjwu/54/head
2025-08-26T20:08:14.6413682Z  * [new branch]              gh/jamesjwu/55/base         -> origin/gh/jamesjwu/55/base
2025-08-26T20:08:14.6414097Z  * [new branch]              gh/jamesjwu/55/head         -> origin/gh/jamesjwu/55/head
2025-08-26T20:08:14.6414839Z  * [new branch]              gh/jamesjwu/56/base         -> origin/gh/jamesjwu/56/base
2025-08-26T20:08:14.6415231Z  * [new branch]              gh/jamesjwu/56/head         -> origin/gh/jamesjwu/56/head
2025-08-26T20:08:14.6415960Z  * [new branch]              gh/jamesjwu/57/base         -> origin/gh/jamesjwu/57/base
2025-08-26T20:08:14.6416380Z  * [new branch]              gh/jamesjwu/57/head         -> origin/gh/jamesjwu/57/head
2025-08-26T20:08:14.6417116Z  * [new branch]              gh/jamesjwu/58/base         -> origin/gh/jamesjwu/58/base
2025-08-26T20:08:14.6417500Z  * [new branch]              gh/jamesjwu/58/head         -> origin/gh/jamesjwu/58/head
2025-08-26T20:08:14.6418345Z  * [new branch]              gh/jamesjwu/59/base         -> origin/gh/jamesjwu/59/base
2025-08-26T20:08:14.6418705Z  * [new branch]              gh/jamesjwu/59/head         -> origin/gh/jamesjwu/59/head
2025-08-26T20:08:14.6419452Z  * [new branch]              gh/jamesjwu/60/base         -> origin/gh/jamesjwu/60/base
2025-08-26T20:08:14.6419839Z  * [new branch]              gh/jamesjwu/60/head         -> origin/gh/jamesjwu/60/head
2025-08-26T20:08:14.6420608Z  * [new branch]              gh/jamesjwu/61/base         -> origin/gh/jamesjwu/61/base
2025-08-26T20:08:14.6421044Z  * [new branch]              gh/jamesjwu/61/head         -> origin/gh/jamesjwu/61/head
2025-08-26T20:08:14.6421784Z  * [new branch]              gh/jamesjwu/62/base         -> origin/gh/jamesjwu/62/base
2025-08-26T20:08:14.6422390Z  * [new branch]              gh/jamesjwu/62/head         -> origin/gh/jamesjwu/62/head
2025-08-26T20:08:14.6423073Z  * [new branch]              gh/jamesjwu/63/base         -> origin/gh/jamesjwu/63/base
2025-08-26T20:08:14.6423598Z  * [new branch]              gh/jamesjwu/63/head         -> origin/gh/jamesjwu/63/head
2025-08-26T20:08:14.6424446Z  * [new branch]              gh/jamesjwu/64/base         -> origin/gh/jamesjwu/64/base
2025-08-26T20:08:14.6424992Z  * [new branch]              gh/jamesjwu/64/head         -> origin/gh/jamesjwu/64/head
2025-08-26T20:08:14.6425989Z  * [new branch]              gh/jamesjwu/65/base         -> origin/gh/jamesjwu/65/base
2025-08-26T20:08:14.6426420Z  * [new branch]              gh/jamesjwu/65/head         -> origin/gh/jamesjwu/65/head
2025-08-26T20:08:14.6427412Z  * [new branch]              gh/janeyx99/165/base        -> origin/gh/janeyx99/165/base
2025-08-26T20:08:14.6428008Z  * [new branch]              gh/janeyx99/165/head        -> origin/gh/janeyx99/165/head
2025-08-26T20:08:14.6428557Z  * [new branch]              gh/janeyx99/165/orig        -> origin/gh/janeyx99/165/orig
2025-08-26T20:08:14.6429533Z  * [new branch]              gh/janeyx99/201/base        -> origin/gh/janeyx99/201/base
2025-08-26T20:08:14.6430371Z  * [new branch]              gh/janeyx99/201/head        -> origin/gh/janeyx99/201/head
2025-08-26T20:08:14.6430847Z  * [new branch]              gh/janeyx99/201/orig        -> origin/gh/janeyx99/201/orig
2025-08-26T20:08:14.6431829Z  * [new branch]              gh/janeyx99/225/base        -> origin/gh/janeyx99/225/base
2025-08-26T20:08:14.6432428Z  * [new branch]              gh/janeyx99/225/head        -> origin/gh/janeyx99/225/head
2025-08-26T20:08:14.6433081Z  * [new branch]              gh/janeyx99/225/orig        -> origin/gh/janeyx99/225/orig
2025-08-26T20:08:14.6433898Z  * [new branch]              gh/janeyx99/282/base        -> origin/gh/janeyx99/282/base
2025-08-26T20:08:14.6434345Z  * [new branch]              gh/janeyx99/282/head        -> origin/gh/janeyx99/282/head
2025-08-26T20:08:14.6434963Z  * [new branch]              gh/janeyx99/282/orig        -> origin/gh/janeyx99/282/orig
2025-08-26T20:08:14.6435669Z  * [new branch]              gh/janeyx99/283/base        -> origin/gh/janeyx99/283/base
2025-08-26T20:08:14.6436250Z  * [new branch]              gh/janeyx99/283/head        -> origin/gh/janeyx99/283/head
2025-08-26T20:08:14.6436792Z  * [new branch]              gh/janeyx99/283/orig        -> origin/gh/janeyx99/283/orig
2025-08-26T20:08:14.6437685Z  * [new branch]              gh/janeyx99/284/base        -> origin/gh/janeyx99/284/base
2025-08-26T20:08:14.6438102Z  * [new branch]              gh/janeyx99/284/head        -> origin/gh/janeyx99/284/head
2025-08-26T20:08:14.6438695Z  * [new branch]              gh/janeyx99/284/orig        -> origin/gh/janeyx99/284/orig
2025-08-26T20:08:14.6439380Z  * [new branch]              gh/janeyx99/285/base        -> origin/gh/janeyx99/285/base
2025-08-26T20:08:14.6439971Z  * [new branch]              gh/janeyx99/285/head        -> origin/gh/janeyx99/285/head
2025-08-26T20:08:14.6440563Z  * [new branch]              gh/janeyx99/285/orig        -> origin/gh/janeyx99/285/orig
2025-08-26T20:08:14.6441371Z  * [new branch]              gh/janeyx99/286/base        -> origin/gh/janeyx99/286/base
2025-08-26T20:08:14.6442208Z  * [new branch]              gh/janeyx99/286/head        -> origin/gh/janeyx99/286/head
2025-08-26T20:08:14.6442870Z  * [new branch]              gh/janeyx99/286/orig        -> origin/gh/janeyx99/286/orig
2025-08-26T20:08:14.6443585Z  * [new branch]              gh/janeyx99/287/base        -> origin/gh/janeyx99/287/base
2025-08-26T20:08:14.6444135Z  * [new branch]              gh/janeyx99/287/head        -> origin/gh/janeyx99/287/head
2025-08-26T20:08:14.6444682Z  * [new branch]              gh/janeyx99/287/orig        -> origin/gh/janeyx99/287/orig
2025-08-26T20:08:14.6445413Z  * [new branch]              gh/janeyx99/288/base        -> origin/gh/janeyx99/288/base
2025-08-26T20:08:14.6445992Z  * [new branch]              gh/janeyx99/288/head        -> origin/gh/janeyx99/288/head
2025-08-26T20:08:14.6446402Z  * [new branch]              gh/janeyx99/288/orig        -> origin/gh/janeyx99/288/orig
2025-08-26T20:08:14.6447267Z  * [new branch]              gh/janeyx99/289/base        -> origin/gh/janeyx99/289/base
2025-08-26T20:08:14.6447813Z  * [new branch]              gh/janeyx99/289/head        -> origin/gh/janeyx99/289/head
2025-08-26T20:08:14.6448259Z  * [new branch]              gh/janeyx99/289/orig        -> origin/gh/janeyx99/289/orig
2025-08-26T20:08:14.6449187Z  * [new branch]              gh/janeyx99/290/base        -> origin/gh/janeyx99/290/base
2025-08-26T20:08:14.6449587Z  * [new branch]              gh/janeyx99/290/head        -> origin/gh/janeyx99/290/head
2025-08-26T20:08:14.6450104Z  * [new branch]              gh/janeyx99/290/orig        -> origin/gh/janeyx99/290/orig
2025-08-26T20:08:14.6450880Z  * [new branch]              gh/janeyx99/291/base        -> origin/gh/janeyx99/291/base
2025-08-26T20:08:14.6451510Z  * [new branch]              gh/janeyx99/291/head        -> origin/gh/janeyx99/291/head
2025-08-26T20:08:14.6452051Z  * [new branch]              gh/janeyx99/291/orig        -> origin/gh/janeyx99/291/orig
2025-08-26T20:08:14.6452843Z  * [new branch]              gh/janeyx99/292/base        -> origin/gh/janeyx99/292/base
2025-08-26T20:08:14.6453386Z  * [new branch]              gh/janeyx99/292/head        -> origin/gh/janeyx99/292/head
2025-08-26T20:08:14.6453956Z  * [new branch]              gh/janeyx99/292/orig        -> origin/gh/janeyx99/292/orig
2025-08-26T20:08:14.6454670Z  * [new branch]              gh/janeyx99/293/base        -> origin/gh/janeyx99/293/base
2025-08-26T20:08:14.6455278Z  * [new branch]              gh/janeyx99/293/head        -> origin/gh/janeyx99/293/head
2025-08-26T20:08:14.6455819Z  * [new branch]              gh/janeyx99/293/orig        -> origin/gh/janeyx99/293/orig
2025-08-26T20:08:14.6456580Z  * [new branch]              gh/janeyx99/294/base        -> origin/gh/janeyx99/294/base
2025-08-26T20:08:14.6457010Z  * [new branch]              gh/janeyx99/294/head        -> origin/gh/janeyx99/294/head
2025-08-26T20:08:14.6457594Z  * [new branch]              gh/janeyx99/294/orig        -> origin/gh/janeyx99/294/orig
2025-08-26T20:08:14.6458622Z  * [new branch]              gh/janeyx99/295/base        -> origin/gh/janeyx99/295/base
2025-08-26T20:08:14.6459234Z  * [new branch]              gh/janeyx99/295/head        -> origin/gh/janeyx99/295/head
2025-08-26T20:08:14.6459644Z  * [new branch]              gh/janeyx99/295/orig        -> origin/gh/janeyx99/295/orig
2025-08-26T20:08:14.6460538Z  * [new branch]              gh/janeyx99/296/base        -> origin/gh/janeyx99/296/base
2025-08-26T20:08:14.6461162Z  * [new branch]              gh/janeyx99/296/head        -> origin/gh/janeyx99/296/head
2025-08-26T20:08:14.6461599Z  * [new branch]              gh/janeyx99/296/orig        -> origin/gh/janeyx99/296/orig
2025-08-26T20:08:14.6462412Z  * [new branch]              gh/janeyx99/297/base        -> origin/gh/janeyx99/297/base
2025-08-26T20:08:14.6462992Z  * [new branch]              gh/janeyx99/297/head        -> origin/gh/janeyx99/297/head
2025-08-26T20:08:14.6463582Z  * [new branch]              gh/janeyx99/297/orig        -> origin/gh/janeyx99/297/orig
2025-08-26T20:08:14.6464282Z  * [new branch]              gh/janeyx99/298/base        -> origin/gh/janeyx99/298/base
2025-08-26T20:08:14.6464729Z  * [new branch]              gh/janeyx99/298/head        -> origin/gh/janeyx99/298/head
2025-08-26T20:08:14.6465324Z  * [new branch]              gh/janeyx99/298/orig        -> origin/gh/janeyx99/298/orig
2025-08-26T20:08:14.6466066Z  * [new branch]              gh/janeyx99/299/base        -> origin/gh/janeyx99/299/base
2025-08-26T20:08:14.6466674Z  * [new branch]              gh/janeyx99/299/head        -> origin/gh/janeyx99/299/head
2025-08-26T20:08:14.6467085Z  * [new branch]              gh/janeyx99/299/orig        -> origin/gh/janeyx99/299/orig
2025-08-26T20:08:14.6468050Z  * [new branch]              gh/janeyx99/300/base        -> origin/gh/janeyx99/300/base
2025-08-26T20:08:14.6468681Z  * [new branch]              gh/janeyx99/300/head        -> origin/gh/janeyx99/300/head
2025-08-26T20:08:14.6469497Z  * [new branch]              gh/janeyx99/300/orig        -> origin/gh/janeyx99/300/orig
2025-08-26T20:08:14.6469918Z  * [new branch]              gh/janeyx99/301/base        -> origin/gh/janeyx99/301/base
2025-08-26T20:08:14.6470592Z  * [new branch]              gh/janeyx99/301/head        -> origin/gh/janeyx99/301/head
2025-08-26T20:08:14.6471490Z  * [new branch]              gh/janeyx99/301/orig        -> origin/gh/janeyx99/301/orig
2025-08-26T20:08:14.6471940Z  * [new branch]              gh/janeyx99/88/base         -> origin/gh/janeyx99/88/base
2025-08-26T20:08:14.6472551Z  * [new branch]              gh/janeyx99/88/head         -> origin/gh/janeyx99/88/head
2025-08-26T20:08:14.6472961Z  * [new branch]              gh/janeyx99/88/orig         -> origin/gh/janeyx99/88/orig
2025-08-26T20:08:14.6474015Z  * [new branch]              gh/jansel/360/base          -> origin/gh/jansel/360/base
2025-08-26T20:08:14.6474456Z  * [new branch]              gh/jansel/360/head          -> origin/gh/jansel/360/head
2025-08-26T20:08:14.6475341Z  * [new branch]              gh/jansel/451/base          -> origin/gh/jansel/451/base
2025-08-26T20:08:14.6475699Z  * [new branch]              gh/jansel/451/head          -> origin/gh/jansel/451/head
2025-08-26T20:08:14.6476308Z  * [new branch]              gh/jansel/451/orig          -> origin/gh/jansel/451/orig
2025-08-26T20:08:14.6477080Z  * [new branch]              gh/jansel/462/base          -> origin/gh/jansel/462/base
2025-08-26T20:08:14.6477703Z  * [new branch]              gh/jansel/462/head          -> origin/gh/jansel/462/head
2025-08-26T20:08:14.6478123Z  * [new branch]              gh/jansel/462/orig          -> origin/gh/jansel/462/orig
2025-08-26T20:08:14.6478931Z  * [new branch]              gh/jansel/531/base          -> origin/gh/jansel/531/base
2025-08-26T20:08:14.6479379Z  * [new branch]              gh/jansel/531/head          -> origin/gh/jansel/531/head
2025-08-26T20:08:14.6480102Z  * [new branch]              gh/jansel/531/orig          -> origin/gh/jansel/531/orig
2025-08-26T20:08:14.6480852Z  * [new branch]              gh/jansel/534/base          -> origin/gh/jansel/534/base
2025-08-26T20:08:14.6481398Z  * [new branch]              gh/jansel/534/head          -> origin/gh/jansel/534/head
2025-08-26T20:08:14.6481965Z  * [new branch]              gh/jansel/534/orig          -> origin/gh/jansel/534/orig
2025-08-26T20:08:14.6482936Z  * [new branch]              gh/jbschlosser/208/head     -> origin/gh/jbschlosser/208/head
2025-08-26T20:08:14.6483743Z  * [new branch]              gh/jbschlosser/239/base     -> origin/gh/jbschlosser/239/base
2025-08-26T20:08:14.6484310Z  * [new branch]              gh/jbschlosser/239/head     -> origin/gh/jbschlosser/239/head
2025-08-26T20:08:14.6484927Z  * [new branch]              gh/jbschlosser/239/orig     -> origin/gh/jbschlosser/239/orig
2025-08-26T20:08:14.6485626Z  * [new branch]              gh/jbschlosser/247/base     -> origin/gh/jbschlosser/247/base
2025-08-26T20:08:14.6486076Z  * [new branch]              gh/jbschlosser/247/head     -> origin/gh/jbschlosser/247/head
2025-08-26T20:08:14.6486686Z  * [new branch]              gh/jbschlosser/247/orig     -> origin/gh/jbschlosser/247/orig
2025-08-26T20:08:14.6487453Z  * [new branch]              gh/jbschlosser/248/base     -> origin/gh/jbschlosser/248/base
2025-08-26T20:08:14.6488096Z  * [new branch]              gh/jbschlosser/248/head     -> origin/gh/jbschlosser/248/head
2025-08-26T20:08:14.6488684Z  * [new branch]              gh/jbschlosser/248/orig     -> origin/gh/jbschlosser/248/orig
2025-08-26T20:08:14.6489458Z  * [new branch]              gh/jbschlosser/250/base     -> origin/gh/jbschlosser/250/base
2025-08-26T20:08:14.6490063Z  * [new branch]              gh/jbschlosser/250/head     -> origin/gh/jbschlosser/250/head
2025-08-26T20:08:14.6490627Z  * [new branch]              gh/jbschlosser/250/orig     -> origin/gh/jbschlosser/250/orig
2025-08-26T20:08:14.6491873Z  * [new branch]              gh/jiayisunx/57/base        -> origin/gh/jiayisunx/57/base
2025-08-26T20:08:14.6492543Z  * [new branch]              gh/jiayisunx/57/head        -> origin/gh/jiayisunx/57/head
2025-08-26T20:08:14.6492915Z  * [new branch]              gh/jiayisunx/57/orig        -> origin/gh/jiayisunx/57/orig
2025-08-26T20:08:14.6493734Z  * [new branch]              gh/jiayisunx/59/base        -> origin/gh/jiayisunx/59/base
2025-08-26T20:08:14.6494227Z  * [new branch]              gh/jiayisunx/59/head        -> origin/gh/jiayisunx/59/head
2025-08-26T20:08:14.6494831Z  * [new branch]              gh/jiayisunx/59/orig        -> origin/gh/jiayisunx/59/orig
2025-08-26T20:08:14.6495536Z  * [new branch]              gh/jiayisunx/61/base        -> origin/gh/jiayisunx/61/base
2025-08-26T20:08:14.6495964Z  * [new branch]              gh/jiayisunx/61/head        -> origin/gh/jiayisunx/61/head
2025-08-26T20:08:14.6496572Z  * [new branch]              gh/jiayisunx/61/orig        -> origin/gh/jiayisunx/61/orig
2025-08-26T20:08:14.6497260Z  * [new branch]              gh/jiayisunx/64/base        -> origin/gh/jiayisunx/64/base
2025-08-26T20:08:14.6497695Z  * [new branch]              gh/jiayisunx/64/head        -> origin/gh/jiayisunx/64/head
2025-08-26T20:08:14.6498406Z  * [new branch]              gh/jiayisunx/64/orig        -> origin/gh/jiayisunx/64/orig
2025-08-26T20:08:14.6499119Z  * [new branch]              gh/jiayisunx/65/base        -> origin/gh/jiayisunx/65/base
2025-08-26T20:08:14.6499722Z  * [new branch]              gh/jiayisunx/65/head        -> origin/gh/jiayisunx/65/head
2025-08-26T20:08:14.6500600Z  * [new branch]              gh/jiayisunx/65/orig        -> origin/gh/jiayisunx/65/orig
2025-08-26T20:08:14.6501335Z  * [new branch]              gh/jiayisunx/66/base        -> origin/gh/jiayisunx/66/base
2025-08-26T20:08:14.6501907Z  * [new branch]              gh/jiayisunx/66/head        -> origin/gh/jiayisunx/66/head
2025-08-26T20:08:14.6502297Z  * [new branch]              gh/jiayisunx/66/orig        -> origin/gh/jiayisunx/66/orig
2025-08-26T20:08:14.6503071Z  * [new branch]              gh/jiayisunx/67/base        -> origin/gh/jiayisunx/67/base
2025-08-26T20:08:14.6503523Z  * [new branch]              gh/jiayisunx/67/head        -> origin/gh/jiayisunx/67/head
2025-08-26T20:08:14.6504074Z  * [new branch]              gh/jiayisunx/67/orig        -> origin/gh/jiayisunx/67/orig
2025-08-26T20:08:14.6504823Z  * [new branch]              gh/jiayisunx/68/base        -> origin/gh/jiayisunx/68/base
2025-08-26T20:08:14.6505203Z  * [new branch]              gh/jiayisunx/68/head        -> origin/gh/jiayisunx/68/head
2025-08-26T20:08:14.6505815Z  * [new branch]              gh/jiayisunx/68/orig        -> origin/gh/jiayisunx/68/orig
2025-08-26T20:08:14.6506508Z  * [new branch]              gh/jiayisunx/69/base        -> origin/gh/jiayisunx/69/base
2025-08-26T20:08:14.6507076Z  * [new branch]              gh/jiayisunx/69/head        -> origin/gh/jiayisunx/69/head
2025-08-26T20:08:14.6507864Z  * [new branch]              gh/jiayisunx/69/orig        -> origin/gh/jiayisunx/69/orig
2025-08-26T20:08:14.6508669Z  * [new branch]              gh/jiayisunx/70/base        -> origin/gh/jiayisunx/70/base
2025-08-26T20:08:14.6509224Z  * [new branch]              gh/jiayisunx/70/head        -> origin/gh/jiayisunx/70/head
2025-08-26T20:08:14.6509650Z  * [new branch]              gh/jiayisunx/70/orig        -> origin/gh/jiayisunx/70/orig
2025-08-26T20:08:14.6510614Z  * [new branch]              gh/jjwu@meta.com/1/base     -> origin/gh/jjwu@meta.com/1/base
2025-08-26T20:08:14.6511012Z  * [new branch]              gh/jjwu@meta.com/1/head     -> origin/gh/jjwu@meta.com/1/head
2025-08-26T20:08:14.6511995Z  * [new branch]              gh/justinchuby/111/base     -> origin/gh/justinchuby/111/base
2025-08-26T20:08:14.6512431Z  * [new branch]              gh/justinchuby/111/head     -> origin/gh/justinchuby/111/head
2025-08-26T20:08:14.6513060Z  * [new branch]              gh/justinchuby/111/orig     -> origin/gh/justinchuby/111/orig
2025-08-26T20:08:14.6513848Z  * [new branch]              gh/justinchuby/112/base     -> origin/gh/justinchuby/112/base
2025-08-26T20:08:14.6514467Z  * [new branch]              gh/justinchuby/112/head     -> origin/gh/justinchuby/112/head
2025-08-26T20:08:14.6514807Z  * [new branch]              gh/justinchuby/112/orig     -> origin/gh/justinchuby/112/orig
2025-08-26T20:08:14.6515581Z  * [new branch]              gh/justinchuby/113/base     -> origin/gh/justinchuby/113/base
2025-08-26T20:08:14.6516146Z  * [new branch]              gh/justinchuby/113/head     -> origin/gh/justinchuby/113/head
2025-08-26T20:08:14.6516538Z  * [new branch]              gh/justinchuby/113/orig     -> origin/gh/justinchuby/113/orig
2025-08-26T20:08:14.6517317Z  * [new branch]              gh/justinchuby/114/base     -> origin/gh/justinchuby/114/base
2025-08-26T20:08:14.6517933Z  * [new branch]              gh/justinchuby/114/head     -> origin/gh/justinchuby/114/head
2025-08-26T20:08:14.6518541Z  * [new branch]              gh/justinchuby/114/orig     -> origin/gh/justinchuby/114/orig
2025-08-26T20:08:14.6519346Z  * [new branch]              gh/karthickai/1/base        -> origin/gh/karthickai/1/base
2025-08-26T20:08:14.6519786Z  * [new branch]              gh/karthickai/1/head        -> origin/gh/karthickai/1/head
2025-08-26T20:08:14.6520379Z  * [new branch]              gh/karthickai/1/orig        -> origin/gh/karthickai/1/orig
2025-08-26T20:08:14.6521168Z  * [new branch]              gh/karthickai/2/base        -> origin/gh/karthickai/2/base
2025-08-26T20:08:14.6521718Z  * [new branch]              gh/karthickai/2/head        -> origin/gh/karthickai/2/head
2025-08-26T20:08:14.6522520Z  * [new branch]              gh/karthickai/2/orig        -> origin/gh/karthickai/2/orig
2025-08-26T20:08:14.6523418Z  * [new branch]              gh/kurtamohler/32/base      -> origin/gh/kurtamohler/32/base
2025-08-26T20:08:14.6523857Z  * [new branch]              gh/kurtamohler/32/head      -> origin/gh/kurtamohler/32/head
2025-08-26T20:08:14.6524456Z  * [new branch]              gh/kurtamohler/32/orig      -> origin/gh/kurtamohler/32/orig
2025-08-26T20:08:14.6525181Z  * [new branch]              gh/kurtamohler/33/base      -> origin/gh/kurtamohler/33/base
2025-08-26T20:08:14.6525603Z  * [new branch]              gh/kurtamohler/33/head      -> origin/gh/kurtamohler/33/head
2025-08-26T20:08:14.6526208Z  * [new branch]              gh/kurtamohler/33/orig      -> origin/gh/kurtamohler/33/orig
2025-08-26T20:08:14.6526946Z  * [new branch]              gh/kurtamohler/34/base      -> origin/gh/kurtamohler/34/base
2025-08-26T20:08:14.6527599Z  * [new branch]              gh/kurtamohler/34/head      -> origin/gh/kurtamohler/34/head
2025-08-26T20:08:14.6528156Z  * [new branch]              gh/kurtamohler/34/orig      -> origin/gh/kurtamohler/34/orig
2025-08-26T20:08:14.6528883Z  * [new branch]              gh/kurtamohler/41/base      -> origin/gh/kurtamohler/41/base
2025-08-26T20:08:14.6529340Z  * [new branch]              gh/kurtamohler/41/head      -> origin/gh/kurtamohler/41/head
2025-08-26T20:08:14.6529944Z  * [new branch]              gh/kurtamohler/41/orig      -> origin/gh/kurtamohler/41/orig
2025-08-26T20:08:14.6530659Z  * [new branch]              gh/kurtamohler/42/base      -> origin/gh/kurtamohler/42/base
2025-08-26T20:08:14.6531099Z  * [new branch]              gh/kurtamohler/42/head      -> origin/gh/kurtamohler/42/head
2025-08-26T20:08:14.6531708Z  * [new branch]              gh/kurtamohler/42/orig      -> origin/gh/kurtamohler/42/orig
2025-08-26T20:08:14.6532420Z  * [new branch]              gh/kurtamohler/43/base      -> origin/gh/kurtamohler/43/base
2025-08-26T20:08:14.6532860Z  * [new branch]              gh/kurtamohler/43/head      -> origin/gh/kurtamohler/43/head
2025-08-26T20:08:14.6533461Z  * [new branch]              gh/kurtamohler/43/orig      -> origin/gh/kurtamohler/43/orig
2025-08-26T20:08:14.6534445Z  * [new branch]              gh/kurtamohler/44/base      -> origin/gh/kurtamohler/44/base
2025-08-26T20:08:14.6534881Z  * [new branch]              gh/kurtamohler/44/head      -> origin/gh/kurtamohler/44/head
2025-08-26T20:08:14.6535595Z  * [new branch]              gh/kurtamohler/44/orig      -> origin/gh/kurtamohler/44/orig
2025-08-26T20:08:14.6536282Z  * [new branch]              gh/kurtamohler/45/base      -> origin/gh/kurtamohler/45/base
2025-08-26T20:08:14.6536961Z  * [new branch]              gh/kurtamohler/45/head      -> origin/gh/kurtamohler/45/head
2025-08-26T20:08:14.6537467Z  * [new branch]              gh/kurtamohler/45/orig      -> origin/gh/kurtamohler/45/orig
2025-08-26T20:08:14.6538210Z  * [new branch]              gh/kurtamohler/46/base      -> origin/gh/kurtamohler/46/base
2025-08-26T20:08:14.6538755Z  * [new branch]              gh/kurtamohler/46/head      -> origin/gh/kurtamohler/46/head
2025-08-26T20:08:14.6539150Z  * [new branch]              gh/kurtamohler/46/orig      -> origin/gh/kurtamohler/46/orig
2025-08-26T20:08:14.6539953Z  * [new branch]              gh/kurtamohler/47/base      -> origin/gh/kurtamohler/47/base
2025-08-26T20:08:14.6540378Z  * [new branch]              gh/kurtamohler/47/head      -> origin/gh/kurtamohler/47/head
2025-08-26T20:08:14.6541011Z  * [new branch]              gh/kurtamohler/47/orig      -> origin/gh/kurtamohler/47/orig
2025-08-26T20:08:14.6541693Z  * [new branch]              gh/kurtamohler/48/base      -> origin/gh/kurtamohler/48/base
2025-08-26T20:08:14.6542131Z  * [new branch]              gh/kurtamohler/48/head      -> origin/gh/kurtamohler/48/head
2025-08-26T20:08:14.6542783Z  * [new branch]              gh/kurtamohler/48/orig      -> origin/gh/kurtamohler/48/orig
2025-08-26T20:08:14.6543789Z  * [new branch]              gh/kwen2501/130/base        -> origin/gh/kwen2501/130/base
2025-08-26T20:08:14.6544447Z  * [new branch]              gh/kwen2501/130/head        -> origin/gh/kwen2501/130/head
2025-08-26T20:08:14.6545041Z  * [new branch]              gh/kwen2501/130/orig        -> origin/gh/kwen2501/130/orig
2025-08-26T20:08:14.6545857Z  * [new branch]              gh/kwen2501/142/base        -> origin/gh/kwen2501/142/base
2025-08-26T20:08:14.6546429Z  * [new branch]              gh/kwen2501/142/head        -> origin/gh/kwen2501/142/head
2025-08-26T20:08:14.6546803Z  * [new branch]              gh/kwen2501/142/orig        -> origin/gh/kwen2501/142/orig
2025-08-26T20:08:14.6547678Z  * [new branch]              gh/kwen2501/15/base         -> origin/gh/kwen2501/15/base
2025-08-26T20:08:14.6548278Z  * [new branch]              gh/kwen2501/15/head         -> origin/gh/kwen2501/15/head
2025-08-26T20:08:14.6548904Z  * [new branch]              gh/kwen2501/156/base        -> origin/gh/kwen2501/156/base
2025-08-26T20:08:14.6549678Z  * [new branch]              gh/kwen2501/156/head        -> origin/gh/kwen2501/156/head
2025-08-26T20:08:14.6550037Z  * [new branch]              gh/kwen2501/156/orig        -> origin/gh/kwen2501/156/orig
2025-08-26T20:08:14.6550889Z  * [new branch]              gh/kwen2501/170/base        -> origin/gh/kwen2501/170/base
2025-08-26T20:08:14.6551470Z  * [new branch]              gh/kwen2501/170/head        -> origin/gh/kwen2501/170/head
2025-08-26T20:08:14.6552233Z  * [new branch]              gh/kwen2501/186/base        -> origin/gh/kwen2501/186/base
2025-08-26T20:08:14.6552673Z  * [new branch]              gh/kwen2501/186/head        -> origin/gh/kwen2501/186/head
2025-08-26T20:08:14.6553384Z  * [new branch]              gh/kwen2501/186/orig        -> origin/gh/kwen2501/186/orig
2025-08-26T20:08:14.6553939Z  * [new branch]              gh/kwen2501/187/base        -> origin/gh/kwen2501/187/base
2025-08-26T20:08:14.6554492Z  * [new branch]              gh/kwen2501/187/head        -> origin/gh/kwen2501/187/head
2025-08-26T20:08:14.6555164Z  * [new branch]              gh/kwen2501/187/orig        -> origin/gh/kwen2501/187/orig
2025-08-26T20:08:14.6555904Z  * [new branch]              gh/kwen2501/188/base        -> origin/gh/kwen2501/188/base
2025-08-26T20:08:14.6556394Z  * [new branch]              gh/kwen2501/188/head        -> origin/gh/kwen2501/188/head
2025-08-26T20:08:14.6556943Z  * [new branch]              gh/kwen2501/188/orig        -> origin/gh/kwen2501/188/orig
2025-08-26T20:08:14.6557840Z  * [new branch]              gh/kwen2501/194/base        -> origin/gh/kwen2501/194/base
2025-08-26T20:08:14.6558218Z  * [new branch]              gh/kwen2501/194/head        -> origin/gh/kwen2501/194/head
2025-08-26T20:08:14.6558789Z  * [new branch]              gh/kwen2501/194/orig        -> origin/gh/kwen2501/194/orig
2025-08-26T20:08:14.6559506Z  * [new branch]              gh/kwen2501/199/base        -> origin/gh/kwen2501/199/base
2025-08-26T20:08:14.6560108Z  * [new branch]              gh/kwen2501/199/head        -> origin/gh/kwen2501/199/head
2025-08-26T20:08:14.6560479Z  * [new branch]              gh/kwen2501/199/orig        -> origin/gh/kwen2501/199/orig
2025-08-26T20:08:14.6561238Z  * [new branch]              gh/kwen2501/200/base        -> origin/gh/kwen2501/200/base
2025-08-26T20:08:14.6561683Z  * [new branch]              gh/kwen2501/200/head        -> origin/gh/kwen2501/200/head
2025-08-26T20:08:14.6562288Z  * [new branch]              gh/kwen2501/200/orig        -> origin/gh/kwen2501/200/orig
2025-08-26T20:08:14.6563024Z  * [new branch]              gh/kwen2501/201/base        -> origin/gh/kwen2501/201/base
2025-08-26T20:08:14.6563421Z  * [new branch]              gh/kwen2501/201/head        -> origin/gh/kwen2501/201/head
2025-08-26T20:08:14.6564147Z  * [new branch]              gh/kwen2501/201/orig        -> origin/gh/kwen2501/201/orig
2025-08-26T20:08:14.6564925Z  * [new branch]              gh/kwen2501/202/base        -> origin/gh/kwen2501/202/base
2025-08-26T20:08:14.6565868Z  * [new branch]              gh/kwen2501/202/head        -> origin/gh/kwen2501/202/head
2025-08-26T20:08:14.6566413Z  * [new branch]              gh/kwen2501/202/orig        -> origin/gh/kwen2501/202/orig
2025-08-26T20:08:14.6567139Z  * [new branch]              gh/kwen2501/203/base        -> origin/gh/kwen2501/203/base
2025-08-26T20:08:14.6567551Z  * [new branch]              gh/kwen2501/203/head        -> origin/gh/kwen2501/203/head
2025-08-26T20:08:14.6568206Z  * [new branch]              gh/kwen2501/203/orig        -> origin/gh/kwen2501/203/orig
2025-08-26T20:08:14.6568958Z  * [new branch]              gh/kwen2501/204/base        -> origin/gh/kwen2501/204/base
2025-08-26T20:08:14.6569385Z  * [new branch]              gh/kwen2501/204/head        -> origin/gh/kwen2501/204/head
2025-08-26T20:08:14.6569992Z  * [new branch]              gh/kwen2501/204/orig        -> origin/gh/kwen2501/204/orig
2025-08-26T20:08:14.6570699Z  * [new branch]              gh/kwen2501/205/base        -> origin/gh/kwen2501/205/base
2025-08-26T20:08:14.6571108Z  * [new branch]              gh/kwen2501/205/head        -> origin/gh/kwen2501/205/head
2025-08-26T20:08:14.6571712Z  * [new branch]              gh/kwen2501/205/orig        -> origin/gh/kwen2501/205/orig
2025-08-26T20:08:14.6572557Z  * [new branch]              gh/kwen2501/206/base        -> origin/gh/kwen2501/206/base
2025-08-26T20:08:14.6573041Z  * [new branch]              gh/kwen2501/206/head        -> origin/gh/kwen2501/206/head
2025-08-26T20:08:14.6573702Z  * [new branch]              gh/kwen2501/206/orig        -> origin/gh/kwen2501/206/orig
2025-08-26T20:08:14.6574955Z  * [new branch]              gh/kwen2501/207/base        -> origin/gh/kwen2501/207/base
2025-08-26T20:08:14.6575391Z  * [new branch]              gh/kwen2501/207/head        -> origin/gh/kwen2501/207/head
2025-08-26T20:08:14.6575998Z  * [new branch]              gh/kwen2501/207/orig        -> origin/gh/kwen2501/207/orig
2025-08-26T20:08:14.6576701Z  * [new branch]              gh/kwen2501/208/base        -> origin/gh/kwen2501/208/base
2025-08-26T20:08:14.6577138Z  * [new branch]              gh/kwen2501/208/head        -> origin/gh/kwen2501/208/head
2025-08-26T20:08:14.6577682Z  * [new branch]              gh/kwen2501/208/orig        -> origin/gh/kwen2501/208/orig
2025-08-26T20:08:14.6578419Z  * [new branch]              gh/kwen2501/209/base        -> origin/gh/kwen2501/209/base
2025-08-26T20:08:14.6578956Z  * [new branch]              gh/kwen2501/209/head        -> origin/gh/kwen2501/209/head
2025-08-26T20:08:14.6579455Z  * [new branch]              gh/kwen2501/209/orig        -> origin/gh/kwen2501/209/orig
2025-08-26T20:08:14.6580258Z  * [new branch]              gh/kwen2501/210/base        -> origin/gh/kwen2501/210/base
2025-08-26T20:08:14.6580687Z  * [new branch]              gh/kwen2501/210/head        -> origin/gh/kwen2501/210/head
2025-08-26T20:08:14.6581297Z  * [new branch]              gh/kwen2501/210/orig        -> origin/gh/kwen2501/210/orig
2025-08-26T20:08:14.6582081Z  * [new branch]              gh/kwen2501/211/base        -> origin/gh/kwen2501/211/base
2025-08-26T20:08:14.6582685Z  * [new branch]              gh/kwen2501/211/head        -> origin/gh/kwen2501/211/head
2025-08-26T20:08:14.6583423Z  * [new branch]              gh/kwen2501/212/base        -> origin/gh/kwen2501/212/base
2025-08-26T20:08:14.6583853Z  * [new branch]              gh/kwen2501/212/head        -> origin/gh/kwen2501/212/head
2025-08-26T20:08:14.6584448Z  * [new branch]              gh/kwen2501/212/orig        -> origin/gh/kwen2501/212/orig
2025-08-26T20:08:14.6585151Z  * [new branch]              gh/kwen2501/213/base        -> origin/gh/kwen2501/213/base
2025-08-26T20:08:14.6585594Z  * [new branch]              gh/kwen2501/213/head        -> origin/gh/kwen2501/213/head
2025-08-26T20:08:14.6586145Z  * [new branch]              gh/kwen2501/213/orig        -> origin/gh/kwen2501/213/orig
2025-08-26T20:08:14.6586955Z  * [new branch]              gh/kwen2501/214/base        -> origin/gh/kwen2501/214/base
2025-08-26T20:08:14.6587507Z  * [new branch]              gh/kwen2501/214/head        -> origin/gh/kwen2501/214/head
2025-08-26T20:08:14.6587937Z  * [new branch]              gh/kwen2501/214/orig        -> origin/gh/kwen2501/214/orig
2025-08-26T20:08:14.6588728Z  * [new branch]              gh/kwen2501/215/base        -> origin/gh/kwen2501/215/base
2025-08-26T20:08:14.6589313Z  * [new branch]              gh/kwen2501/215/head        -> origin/gh/kwen2501/215/head
2025-08-26T20:08:14.6589699Z  * [new branch]              gh/kwen2501/215/orig        -> origin/gh/kwen2501/215/orig
2025-08-26T20:08:14.6590486Z  * [new branch]              gh/kwen2501/216/base        -> origin/gh/kwen2501/216/base
2025-08-26T20:08:14.6590915Z  * [new branch]              gh/kwen2501/216/head        -> origin/gh/kwen2501/216/head
2025-08-26T20:08:14.6591613Z  * [new branch]              gh/kwen2501/216/orig        -> origin/gh/kwen2501/216/orig
2025-08-26T20:08:14.6592365Z  * [new branch]              gh/kwen2501/217/base        -> origin/gh/kwen2501/217/base
2025-08-26T20:08:14.6592948Z  * [new branch]              gh/kwen2501/217/head        -> origin/gh/kwen2501/217/head
2025-08-26T20:08:14.6593273Z  * [new branch]              gh/kwen2501/217/orig        -> origin/gh/kwen2501/217/orig
2025-08-26T20:08:14.6594147Z  * [new branch]              gh/kwen2501/218/base        -> origin/gh/kwen2501/218/base
2025-08-26T20:08:14.6594594Z  * [new branch]              gh/kwen2501/218/head        -> origin/gh/kwen2501/218/head
2025-08-26T20:08:14.6595093Z  * [new branch]              gh/kwen2501/218/orig        -> origin/gh/kwen2501/218/orig
2025-08-26T20:08:14.6596215Z  * [new branch]              gh/laithsakka/156/base      -> origin/gh/laithsakka/156/base
2025-08-26T20:08:14.6596639Z  * [new branch]              gh/laithsakka/156/head      -> origin/gh/laithsakka/156/head
2025-08-26T20:08:14.6597252Z  * [new branch]              gh/laithsakka/156/orig      -> origin/gh/laithsakka/156/orig
2025-08-26T20:08:14.6598059Z  * [new branch]              gh/laithsakka/160/base      -> origin/gh/laithsakka/160/base
2025-08-26T20:08:14.6598468Z  * [new branch]              gh/laithsakka/160/head      -> origin/gh/laithsakka/160/head
2025-08-26T20:08:14.6599031Z  * [new branch]              gh/laithsakka/160/orig      -> origin/gh/laithsakka/160/orig
2025-08-26T20:08:14.6599859Z  * [new branch]              gh/laithsakka/178/base      -> origin/gh/laithsakka/178/base
2025-08-26T20:08:14.6600415Z  * [new branch]              gh/laithsakka/178/head      -> origin/gh/laithsakka/178/head
2025-08-26T20:08:14.6601115Z  * [new branch]              gh/laithsakka/178/orig      -> origin/gh/laithsakka/178/orig
2025-08-26T20:08:14.6601849Z  * [new branch]              gh/laithsakka/191/base      -> origin/gh/laithsakka/191/base
2025-08-26T20:08:14.6602297Z  * [new branch]              gh/laithsakka/191/head      -> origin/gh/laithsakka/191/head
2025-08-26T20:08:14.6602860Z  * [new branch]              gh/laithsakka/191/orig      -> origin/gh/laithsakka/191/orig
2025-08-26T20:08:14.6603564Z  * [new branch]              gh/laithsakka/237/base      -> origin/gh/laithsakka/237/base
2025-08-26T20:08:14.6604474Z  * [new branch]              gh/laithsakka/237/head      -> origin/gh/laithsakka/237/head
2025-08-26T20:08:14.6605032Z  * [new branch]              gh/laithsakka/237/orig      -> origin/gh/laithsakka/237/orig
2025-08-26T20:08:14.6606018Z  * [new branch]              gh/laithsakka/238/base      -> origin/gh/laithsakka/238/base
2025-08-26T20:08:14.6606444Z  * [new branch]              gh/laithsakka/238/head      -> origin/gh/laithsakka/238/head
2025-08-26T20:08:14.6607061Z  * [new branch]              gh/laithsakka/238/orig      -> origin/gh/laithsakka/238/orig
2025-08-26T20:08:14.6607753Z  * [new branch]              gh/laithsakka/248/base      -> origin/gh/laithsakka/248/base
2025-08-26T20:08:14.6608183Z  * [new branch]              gh/laithsakka/248/head      -> origin/gh/laithsakka/248/head
2025-08-26T20:08:14.6608809Z  * [new branch]              gh/laithsakka/248/orig      -> origin/gh/laithsakka/248/orig
2025-08-26T20:08:14.6609593Z  * [new branch]              gh/laithsakka/249/base      -> origin/gh/laithsakka/249/base
2025-08-26T20:08:14.6610184Z  * [new branch]              gh/laithsakka/249/head      -> origin/gh/laithsakka/249/head
2025-08-26T20:08:14.6610802Z  * [new branch]              gh/laithsakka/249/orig      -> origin/gh/laithsakka/249/orig
2025-08-26T20:08:14.6611485Z  * [new branch]              gh/laithsakka/250/base      -> origin/gh/laithsakka/250/base
2025-08-26T20:08:14.6611932Z  * [new branch]              gh/laithsakka/250/head      -> origin/gh/laithsakka/250/head
2025-08-26T20:08:14.6612537Z  * [new branch]              gh/laithsakka/250/orig      -> origin/gh/laithsakka/250/orig
2025-08-26T20:08:14.6613199Z  * [new branch]              gh/laithsakka/251/base      -> origin/gh/laithsakka/251/base
2025-08-26T20:08:14.6613643Z  * [new branch]              gh/laithsakka/251/head      -> origin/gh/laithsakka/251/head
2025-08-26T20:08:14.6614266Z  * [new branch]              gh/laithsakka/251/orig      -> origin/gh/laithsakka/251/orig
2025-08-26T20:08:14.6614966Z  * [new branch]              gh/laithsakka/252/base      -> origin/gh/laithsakka/252/base
2025-08-26T20:08:14.6615403Z  * [new branch]              gh/laithsakka/252/head      -> origin/gh/laithsakka/252/head
2025-08-26T20:08:14.6615965Z  * [new branch]              gh/laithsakka/252/orig      -> origin/gh/laithsakka/252/orig
2025-08-26T20:08:14.6616702Z  * [new branch]              gh/laithsakka/253/base      -> origin/gh/laithsakka/253/base
2025-08-26T20:08:14.6617134Z  * [new branch]              gh/laithsakka/253/head      -> origin/gh/laithsakka/253/head
2025-08-26T20:08:14.6617706Z  * [new branch]              gh/laithsakka/253/orig      -> origin/gh/laithsakka/253/orig
2025-08-26T20:08:14.6618431Z  * [new branch]              gh/laithsakka/254/base      -> origin/gh/laithsakka/254/base
2025-08-26T20:08:14.6619004Z  * [new branch]              gh/laithsakka/254/head      -> origin/gh/laithsakka/254/head
2025-08-26T20:08:14.6619558Z  * [new branch]              gh/laithsakka/254/orig      -> origin/gh/laithsakka/254/orig
2025-08-26T20:08:14.6620278Z  * [new branch]              gh/laithsakka/255/base      -> origin/gh/laithsakka/255/base
2025-08-26T20:08:14.6620851Z  * [new branch]              gh/laithsakka/255/head      -> origin/gh/laithsakka/255/head
2025-08-26T20:08:14.6621222Z  * [new branch]              gh/laithsakka/255/orig      -> origin/gh/laithsakka/255/orig
2025-08-26T20:08:14.6622077Z  * [new branch]              gh/laithsakka/256/base      -> origin/gh/laithsakka/256/base
2025-08-26T20:08:14.6622459Z  * [new branch]              gh/laithsakka/256/head      -> origin/gh/laithsakka/256/head
2025-08-26T20:08:14.6623097Z  * [new branch]              gh/laithsakka/256/orig      -> origin/gh/laithsakka/256/orig
2025-08-26T20:08:14.6623903Z  * [new branch]              gh/laithsakka/257/base      -> origin/gh/laithsakka/257/base
2025-08-26T20:08:14.6624343Z  * [new branch]              gh/laithsakka/257/head      -> origin/gh/laithsakka/257/head
2025-08-26T20:08:14.6624962Z  * [new branch]              gh/laithsakka/257/orig      -> origin/gh/laithsakka/257/orig
2025-08-26T20:08:14.6625982Z  * [new branch]              gh/laithsakka/258/base      -> origin/gh/laithsakka/258/base
2025-08-26T20:08:14.6626432Z  * [new branch]              gh/laithsakka/258/head      -> origin/gh/laithsakka/258/head
2025-08-26T20:08:14.6627052Z  * [new branch]              gh/laithsakka/258/orig      -> origin/gh/laithsakka/258/orig
2025-08-26T20:08:14.6627841Z  * [new branch]              gh/laithsakka/259/base      -> origin/gh/laithsakka/259/base
2025-08-26T20:08:14.6628297Z  * [new branch]              gh/laithsakka/259/head      -> origin/gh/laithsakka/259/head
2025-08-26T20:08:14.6628988Z  * [new branch]              gh/laithsakka/259/orig      -> origin/gh/laithsakka/259/orig
2025-08-26T20:08:14.6629723Z  * [new branch]              gh/laithsakka/260/base      -> origin/gh/laithsakka/260/base
2025-08-26T20:08:14.6630148Z  * [new branch]              gh/laithsakka/260/head      -> origin/gh/laithsakka/260/head
2025-08-26T20:08:14.6630707Z  * [new branch]              gh/laithsakka/260/orig      -> origin/gh/laithsakka/260/orig
2025-08-26T20:08:14.6631522Z  * [new branch]              gh/laithsakka/261/base      -> origin/gh/laithsakka/261/base
2025-08-26T20:08:14.6631943Z  * [new branch]              gh/laithsakka/261/head      -> origin/gh/laithsakka/261/head
2025-08-26T20:08:14.6632555Z  * [new branch]              gh/laithsakka/261/orig      -> origin/gh/laithsakka/261/orig
2025-08-26T20:08:14.6633251Z  * [new branch]              gh/laithsakka/262/base      -> origin/gh/laithsakka/262/base
2025-08-26T20:08:14.6633846Z  * [new branch]              gh/laithsakka/262/head      -> origin/gh/laithsakka/262/head
2025-08-26T20:08:14.6634614Z  * [new branch]              gh/laithsakka/262/orig      -> origin/gh/laithsakka/262/orig
2025-08-26T20:08:14.6635378Z  * [new branch]              gh/laithsakka/263/base      -> origin/gh/laithsakka/263/base
2025-08-26T20:08:14.6635812Z  * [new branch]              gh/laithsakka/263/head      -> origin/gh/laithsakka/263/head
2025-08-26T20:08:14.6636363Z  * [new branch]              gh/laithsakka/263/orig      -> origin/gh/laithsakka/263/orig
2025-08-26T20:08:14.6637312Z  * [new branch]              gh/laithsakka/28/base       -> origin/gh/laithsakka/28/base
2025-08-26T20:08:14.6638134Z  * [new branch]              gh/laithsakka/29/base       -> origin/gh/laithsakka/29/base
2025-08-26T20:08:14.6638901Z  * [new branch]              gh/laithsakka/30/base       -> origin/gh/laithsakka/30/base
2025-08-26T20:08:14.6639492Z  * [new branch]              gh/laithsakka/30/head       -> origin/gh/laithsakka/30/head
2025-08-26T20:08:14.6640127Z  * [new branch]              gh/laithsakka/31/base       -> origin/gh/laithsakka/31/base
2025-08-26T20:08:14.6640505Z  * [new branch]              gh/laithsakka/31/head       -> origin/gh/laithsakka/31/head
2025-08-26T20:08:14.6641547Z  * [new branch]              gh/laithsakka/32/base       -> origin/gh/laithsakka/32/base
2025-08-26T20:08:14.6641989Z  * [new branch]              gh/laithsakka/32/head       -> origin/gh/laithsakka/32/head
2025-08-26T20:08:14.6644483Z  * [new branch]              gh/lucaskabela/1/base       -> origin/gh/lucaskabela/1/base
2025-08-26T20:08:14.6645042Z  * [new branch]              gh/lucaskabela/1/head       -> origin/gh/lucaskabela/1/head
2025-08-26T20:08:14.6646220Z  * [new branch]              gh/lucaskabela/10/base      -> origin/gh/lucaskabela/10/base
2025-08-26T20:08:14.6646724Z  * [new branch]              gh/lucaskabela/10/head      -> origin/gh/lucaskabela/10/head
2025-08-26T20:08:14.6647368Z  * [new branch]              gh/lucaskabela/10/orig      -> origin/gh/lucaskabela/10/orig
2025-08-26T20:08:14.6648027Z  * [new branch]              gh/lucaskabela/11/base      -> origin/gh/lucaskabela/11/base
2025-08-26T20:08:14.6648469Z  * [new branch]              gh/lucaskabela/11/head      -> origin/gh/lucaskabela/11/head
2025-08-26T20:08:14.6649074Z  * [new branch]              gh/lucaskabela/11/orig      -> origin/gh/lucaskabela/11/orig
2025-08-26T20:08:14.6650151Z  * [new branch]              gh/lucaskabela/12/base      -> origin/gh/lucaskabela/12/base
2025-08-26T20:08:14.6650663Z  * [new branch]              gh/lucaskabela/12/head      -> origin/gh/lucaskabela/12/head
2025-08-26T20:08:14.6651266Z  * [new branch]              gh/lucaskabela/12/orig      -> origin/gh/lucaskabela/12/orig
2025-08-26T20:08:14.6651923Z  * [new branch]              gh/lucaskabela/13/base      -> origin/gh/lucaskabela/13/base
2025-08-26T20:08:14.6652367Z  * [new branch]              gh/lucaskabela/13/head      -> origin/gh/lucaskabela/13/head
2025-08-26T20:08:14.6653020Z  * [new branch]              gh/lucaskabela/13/orig      -> origin/gh/lucaskabela/13/orig
2025-08-26T20:08:14.6653625Z  * [new branch]              gh/lucaskabela/14/base      -> origin/gh/lucaskabela/14/base
2025-08-26T20:08:14.6654041Z  * [new branch]              gh/lucaskabela/14/head      -> origin/gh/lucaskabela/14/head
2025-08-26T20:08:14.6654688Z  * [new branch]              gh/lucaskabela/14/orig      -> origin/gh/lucaskabela/14/orig
2025-08-26T20:08:14.6655325Z  * [new branch]              gh/lucaskabela/15/base      -> origin/gh/lucaskabela/15/base
2025-08-26T20:08:14.6655884Z  * [new branch]              gh/lucaskabela/15/head      -> origin/gh/lucaskabela/15/head
2025-08-26T20:08:14.6656332Z  * [new branch]              gh/lucaskabela/15/orig      -> origin/gh/lucaskabela/15/orig
2025-08-26T20:08:14.6657036Z  * [new branch]              gh/lucaskabela/16/base      -> origin/gh/lucaskabela/16/base
2025-08-26T20:08:14.6657532Z  * [new branch]              gh/lucaskabela/16/head      -> origin/gh/lucaskabela/16/head
2025-08-26T20:08:14.6658104Z  * [new branch]              gh/lucaskabela/16/orig      -> origin/gh/lucaskabela/16/orig
2025-08-26T20:08:14.6658821Z  * [new branch]              gh/lucaskabela/17/base      -> origin/gh/lucaskabela/17/base
2025-08-26T20:08:14.6659272Z  * [new branch]              gh/lucaskabela/17/head      -> origin/gh/lucaskabela/17/head
2025-08-26T20:08:14.6659832Z  * [new branch]              gh/lucaskabela/17/orig      -> origin/gh/lucaskabela/17/orig
2025-08-26T20:08:14.6660637Z  * [new branch]              gh/lucaskabela/2/base       -> origin/gh/lucaskabela/2/base
2025-08-26T20:08:14.6661062Z  * [new branch]              gh/lucaskabela/2/head       -> origin/gh/lucaskabela/2/head
2025-08-26T20:08:14.6661756Z  * [new branch]              gh/lucaskabela/2/orig       -> origin/gh/lucaskabela/2/orig
2025-08-26T20:08:14.6662527Z  * [new branch]              gh/lucaskabela/3/base       -> origin/gh/lucaskabela/3/base
2025-08-26T20:08:14.6662986Z  * [new branch]              gh/lucaskabela/3/head       -> origin/gh/lucaskabela/3/head
2025-08-26T20:08:14.6663555Z  * [new branch]              gh/lucaskabela/3/orig       -> origin/gh/lucaskabela/3/orig
2025-08-26T20:08:14.6664241Z  * [new branch]              gh/lucaskabela/4/base       -> origin/gh/lucaskabela/4/base
2025-08-26T20:08:14.6664799Z  * [new branch]              gh/lucaskabela/4/head       -> origin/gh/lucaskabela/4/head
2025-08-26T20:08:14.6665245Z  * [new branch]              gh/lucaskabela/4/orig       -> origin/gh/lucaskabela/4/orig
2025-08-26T20:08:14.6666085Z  * [new branch]              gh/lucaskabela/5/base       -> origin/gh/lucaskabela/5/base
2025-08-26T20:08:14.6666637Z  * [new branch]              gh/lucaskabela/5/head       -> origin/gh/lucaskabela/5/head
2025-08-26T20:08:14.6667131Z  * [new branch]              gh/lucaskabela/5/orig       -> origin/gh/lucaskabela/5/orig
2025-08-26T20:08:14.6667925Z  * [new branch]              gh/lucaskabela/6/base       -> origin/gh/lucaskabela/6/base
2025-08-26T20:08:14.6668347Z  * [new branch]              gh/lucaskabela/6/head       -> origin/gh/lucaskabela/6/head
2025-08-26T20:08:14.6669005Z  * [new branch]              gh/lucaskabela/6/orig       -> origin/gh/lucaskabela/6/orig
2025-08-26T20:08:14.6670207Z  * [new branch]              gh/lucaskabela/7/base       -> origin/gh/lucaskabela/7/base
2025-08-26T20:08:14.6670644Z  * [new branch]              gh/lucaskabela/7/head       -> origin/gh/lucaskabela/7/head
2025-08-26T20:08:14.6671205Z  * [new branch]              gh/lucaskabela/7/orig       -> origin/gh/lucaskabela/7/orig
2025-08-26T20:08:14.6671906Z  * [new branch]              gh/lucaskabela/8/base       -> origin/gh/lucaskabela/8/base
2025-08-26T20:08:14.6672467Z  * [new branch]              gh/lucaskabela/8/head       -> origin/gh/lucaskabela/8/head
2025-08-26T20:08:14.6673034Z  * [new branch]              gh/lucaskabela/8/orig       -> origin/gh/lucaskabela/8/orig
2025-08-26T20:08:14.6673721Z  * [new branch]              gh/lucaskabela/9/base       -> origin/gh/lucaskabela/9/base
2025-08-26T20:08:14.6674297Z  * [new branch]              gh/lucaskabela/9/head       -> origin/gh/lucaskabela/9/head
2025-08-26T20:08:14.6674847Z  * [new branch]              gh/lucaskabela/9/orig       -> origin/gh/lucaskabela/9/orig
2025-08-26T20:08:14.6676176Z  * [new branch]              gh/lw/1/base                -> origin/gh/lw/1/base
2025-08-26T20:08:14.6676308Z  * [new branch]              gh/lw/1/head                -> origin/gh/lw/1/head
2025-08-26T20:08:14.6676717Z  * [new branch]              gh/lw/1/orig                -> origin/gh/lw/1/orig
2025-08-26T20:08:14.6679156Z  * [new branch]              gh/lw/2/base                -> origin/gh/lw/2/base
2025-08-26T20:08:14.6679322Z  * [new branch]              gh/lw/2/head                -> origin/gh/lw/2/head
2025-08-26T20:08:14.6679451Z  * [new branch]              gh/lw/2/orig                -> origin/gh/lw/2/orig
2025-08-26T20:08:14.6679578Z  * [new branch]              gh/lw/3/base                -> origin/gh/lw/3/base
2025-08-26T20:08:14.6680134Z  * [new branch]              gh/lw/3/head                -> origin/gh/lw/3/head
2025-08-26T20:08:14.6680847Z  * [new branch]              gh/lw/3/orig                -> origin/gh/lw/3/orig
2025-08-26T20:08:14.6682113Z  * [new branch]              gh/malfet/14/base           -> origin/gh/malfet/14/base
2025-08-26T20:08:14.6682894Z  * [new branch]              gh/malfet/330/base          -> origin/gh/malfet/330/base
2025-08-26T20:08:14.6683335Z  * [new branch]              gh/malfet/330/head          -> origin/gh/malfet/330/head
2025-08-26T20:08:14.6684034Z  * [new branch]              gh/malfet/330/orig          -> origin/gh/malfet/330/orig
2025-08-26T20:08:14.6684770Z  * [new branch]              gh/malfet/396/base          -> origin/gh/malfet/396/base
2025-08-26T20:08:14.6685328Z  * [new branch]              gh/malfet/396/head          -> origin/gh/malfet/396/head
2025-08-26T20:08:14.6685753Z  * [new branch]              gh/malfet/396/orig          -> origin/gh/malfet/396/orig
2025-08-26T20:08:14.6686597Z  * [new branch]              gh/malfet/397/base          -> origin/gh/malfet/397/base
2025-08-26T20:08:14.6687261Z  * [new branch]              gh/malfet/397/head          -> origin/gh/malfet/397/head
2025-08-26T20:08:14.6687809Z  * [new branch]              gh/malfet/397/orig          -> origin/gh/malfet/397/orig
2025-08-26T20:08:14.6688558Z  * [new branch]              gh/malfet/398/base          -> origin/gh/malfet/398/base
2025-08-26T20:08:14.6688937Z  * [new branch]              gh/malfet/398/head          -> origin/gh/malfet/398/head
2025-08-26T20:08:14.6689590Z  * [new branch]              gh/malfet/398/orig          -> origin/gh/malfet/398/orig
2025-08-26T20:08:14.6690302Z  * [new branch]              gh/malfet/399/base          -> origin/gh/malfet/399/base
2025-08-26T20:08:14.6690923Z  * [new branch]              gh/malfet/399/head          -> origin/gh/malfet/399/head
2025-08-26T20:08:14.6691320Z  * [new branch]              gh/malfet/399/orig          -> origin/gh/malfet/399/orig
2025-08-26T20:08:14.6692118Z  * [new branch]              gh/malfet/414/base          -> origin/gh/malfet/414/base
2025-08-26T20:08:14.6692519Z  * [new branch]              gh/malfet/414/head          -> origin/gh/malfet/414/head
2025-08-26T20:08:14.6693142Z  * [new branch]              gh/malfet/414/orig          -> origin/gh/malfet/414/orig
2025-08-26T20:08:14.6693864Z  * [new branch]              gh/malfet/417/base          -> origin/gh/malfet/417/base
2025-08-26T20:08:14.6694286Z  * [new branch]              gh/malfet/417/head          -> origin/gh/malfet/417/head
2025-08-26T20:08:14.6694884Z  * [new branch]              gh/malfet/417/orig          -> origin/gh/malfet/417/orig
2025-08-26T20:08:14.6695580Z  * [new branch]              gh/malfet/418/base          -> origin/gh/malfet/418/base
2025-08-26T20:08:14.6696215Z  * [new branch]              gh/malfet/418/head          -> origin/gh/malfet/418/head
2025-08-26T20:08:14.6696772Z  * [new branch]              gh/malfet/418/orig          -> origin/gh/malfet/418/orig
2025-08-26T20:08:14.6697488Z  * [new branch]              gh/malfet/456/base          -> origin/gh/malfet/456/base
2025-08-26T20:08:14.6698037Z  * [new branch]              gh/malfet/456/head          -> origin/gh/malfet/456/head
2025-08-26T20:08:14.6698633Z  * [new branch]              gh/malfet/456/orig          -> origin/gh/malfet/456/orig
2025-08-26T20:08:14.6699353Z  * [new branch]              gh/malfet/457/base          -> origin/gh/malfet/457/base
2025-08-26T20:08:14.6699905Z  * [new branch]              gh/malfet/457/head          -> origin/gh/malfet/457/head
2025-08-26T20:08:14.6700460Z  * [new branch]              gh/malfet/457/orig          -> origin/gh/malfet/457/orig
2025-08-26T20:08:14.6701150Z  * [new branch]              gh/malfet/459/base          -> origin/gh/malfet/459/base
2025-08-26T20:08:14.6701559Z  * [new branch]              gh/malfet/459/head          -> origin/gh/malfet/459/head
2025-08-26T20:08:14.6702223Z  * [new branch]              gh/malfet/459/orig          -> origin/gh/malfet/459/orig
2025-08-26T20:08:14.6702896Z  * [new branch]              gh/malfet/460/base          -> origin/gh/malfet/460/base
2025-08-26T20:08:14.6703323Z  * [new branch]              gh/malfet/460/head          -> origin/gh/malfet/460/head
2025-08-26T20:08:14.6703923Z  * [new branch]              gh/malfet/460/orig          -> origin/gh/malfet/460/orig
2025-08-26T20:08:14.6704604Z  * [new branch]              gh/malfet/461/base          -> origin/gh/malfet/461/base
2025-08-26T20:08:14.6705213Z  * [new branch]              gh/malfet/461/head          -> origin/gh/malfet/461/head
2025-08-26T20:08:14.6705846Z  * [new branch]              gh/malfet/461/orig          -> origin/gh/malfet/461/orig
2025-08-26T20:08:14.6706566Z  * [new branch]              gh/malfet/462/base          -> origin/gh/malfet/462/base
2025-08-26T20:08:14.6707127Z  * [new branch]              gh/malfet/462/head          -> origin/gh/malfet/462/head
2025-08-26T20:08:14.6707703Z  * [new branch]              gh/malfet/462/orig          -> origin/gh/malfet/462/orig
2025-08-26T20:08:14.6708400Z  * [new branch]              gh/malfet/463/base          -> origin/gh/malfet/463/base
2025-08-26T20:08:14.6708796Z  * [new branch]              gh/malfet/463/head          -> origin/gh/malfet/463/head
2025-08-26T20:08:14.6709446Z  * [new branch]              gh/malfet/463/orig          -> origin/gh/malfet/463/orig
2025-08-26T20:08:14.6710100Z  * [new branch]              gh/malfet/464/base          -> origin/gh/malfet/464/base
2025-08-26T20:08:14.6710542Z  * [new branch]              gh/malfet/464/head          -> origin/gh/malfet/464/head
2025-08-26T20:08:14.6711151Z  * [new branch]              gh/malfet/464/orig          -> origin/gh/malfet/464/orig
2025-08-26T20:08:14.6712102Z  * [new branch]              gh/malfet/465/base          -> origin/gh/malfet/465/base
2025-08-26T20:08:14.6712704Z  * [new branch]              gh/malfet/465/head          -> origin/gh/malfet/465/head
2025-08-26T20:08:14.6713245Z  * [new branch]              gh/malfet/465/orig          -> origin/gh/malfet/465/orig
2025-08-26T20:08:14.6713998Z  * [new branch]              gh/malfet/466/base          -> origin/gh/malfet/466/base
2025-08-26T20:08:14.6714668Z  * [new branch]              gh/malfet/466/head          -> origin/gh/malfet/466/head
2025-08-26T20:08:14.6715236Z  * [new branch]              gh/malfet/466/orig          -> origin/gh/malfet/466/orig
2025-08-26T20:08:14.6715930Z  * [new branch]              gh/malfet/467/base          -> origin/gh/malfet/467/base
2025-08-26T20:08:14.6716373Z  * [new branch]              gh/malfet/467/head          -> origin/gh/malfet/467/head
2025-08-26T20:08:14.6716966Z  * [new branch]              gh/malfet/467/orig          -> origin/gh/malfet/467/orig
2025-08-26T20:08:14.6717704Z  * [new branch]              gh/malfet/468/base          -> origin/gh/malfet/468/base
2025-08-26T20:08:14.6718144Z  * [new branch]              gh/malfet/468/head          -> origin/gh/malfet/468/head
2025-08-26T20:08:14.6718767Z  * [new branch]              gh/malfet/468/orig          -> origin/gh/malfet/468/orig
2025-08-26T20:08:14.6719475Z  * [new branch]              gh/malfet/469/base          -> origin/gh/malfet/469/base
2025-08-26T20:08:14.6719899Z  * [new branch]              gh/malfet/469/head          -> origin/gh/malfet/469/head
2025-08-26T20:08:14.6720636Z  * [new branch]              gh/malfet/469/orig          -> origin/gh/malfet/469/orig
2025-08-26T20:08:14.6721390Z  * [new branch]              gh/malfet/470/base          -> origin/gh/malfet/470/base
2025-08-26T20:08:14.6721837Z  * [new branch]              gh/malfet/470/head          -> origin/gh/malfet/470/head
2025-08-26T20:08:14.6722423Z  * [new branch]              gh/malfet/470/orig          -> origin/gh/malfet/470/orig
2025-08-26T20:08:14.6723162Z  * [new branch]              gh/malfet/471/base          -> origin/gh/malfet/471/base
2025-08-26T20:08:14.6723783Z  * [new branch]              gh/malfet/471/head          -> origin/gh/malfet/471/head
2025-08-26T20:08:14.6724336Z  * [new branch]              gh/malfet/471/orig          -> origin/gh/malfet/471/orig
2025-08-26T20:08:14.6725052Z  * [new branch]              gh/malfet/472/base          -> origin/gh/malfet/472/base
2025-08-26T20:08:14.6725493Z  * [new branch]              gh/malfet/472/head          -> origin/gh/malfet/472/head
2025-08-26T20:08:14.6726137Z  * [new branch]              gh/malfet/472/orig          -> origin/gh/malfet/472/orig
2025-08-26T20:08:14.6726846Z  * [new branch]              gh/malfet/473/base          -> origin/gh/malfet/473/base
2025-08-26T20:08:14.6727280Z  * [new branch]              gh/malfet/473/head          -> origin/gh/malfet/473/head
2025-08-26T20:08:14.6727973Z  * [new branch]              gh/malfet/473/orig          -> origin/gh/malfet/473/orig
2025-08-26T20:08:14.6728657Z  * [new branch]              gh/malfet/474/base          -> origin/gh/malfet/474/base
2025-08-26T20:08:14.6729258Z  * [new branch]              gh/malfet/474/head          -> origin/gh/malfet/474/head
2025-08-26T20:08:14.6729685Z  * [new branch]              gh/malfet/474/orig          -> origin/gh/malfet/474/orig
2025-08-26T20:08:14.6730533Z  * [new branch]              gh/malfet/475/base          -> origin/gh/malfet/475/base
2025-08-26T20:08:14.6731149Z  * [new branch]              gh/malfet/475/head          -> origin/gh/malfet/475/head
2025-08-26T20:08:14.6731592Z  * [new branch]              gh/malfet/475/orig          -> origin/gh/malfet/475/orig
2025-08-26T20:08:14.6732446Z  * [new branch]              gh/malfet/476/base          -> origin/gh/malfet/476/base
2025-08-26T20:08:14.6733128Z  * [new branch]              gh/malfet/476/head          -> origin/gh/malfet/476/head
2025-08-26T20:08:14.6733575Z  * [new branch]              gh/malfet/476/orig          -> origin/gh/malfet/476/orig
2025-08-26T20:08:14.6734323Z  * [new branch]              gh/malfet/477/base          -> origin/gh/malfet/477/base
2025-08-26T20:08:14.6734788Z  * [new branch]              gh/malfet/477/head          -> origin/gh/malfet/477/head
2025-08-26T20:08:14.6735509Z  * [new branch]              gh/malfet/477/orig          -> origin/gh/malfet/477/orig
2025-08-26T20:08:14.6736160Z  * [new branch]              gh/malfet/478/base          -> origin/gh/malfet/478/base
2025-08-26T20:08:14.6736716Z  * [new branch]              gh/malfet/478/head          -> origin/gh/malfet/478/head
2025-08-26T20:08:14.6737134Z  * [new branch]              gh/malfet/478/orig          -> origin/gh/malfet/478/orig
2025-08-26T20:08:14.6737844Z  * [new branch]              gh/malfet/479/base          -> origin/gh/malfet/479/base
2025-08-26T20:08:14.6738466Z  * [new branch]              gh/malfet/479/head          -> origin/gh/malfet/479/head
2025-08-26T20:08:14.6738859Z  * [new branch]              gh/malfet/479/orig          -> origin/gh/malfet/479/orig
2025-08-26T20:08:14.6739674Z  * [new branch]              gh/malfet/480/base          -> origin/gh/malfet/480/base
2025-08-26T20:08:14.6740099Z  * [new branch]              gh/malfet/480/head          -> origin/gh/malfet/480/head
2025-08-26T20:08:14.6740715Z  * [new branch]              gh/malfet/480/orig          -> origin/gh/malfet/480/orig
2025-08-26T20:08:14.6741574Z  * [new branch]              gh/malfet/481/base          -> origin/gh/malfet/481/base
2025-08-26T20:08:14.6742020Z  * [new branch]              gh/malfet/481/head          -> origin/gh/malfet/481/head
2025-08-26T20:08:14.6743039Z  * [new branch]              gh/malfet/481/orig          -> origin/gh/malfet/481/orig
2025-08-26T20:08:14.6743732Z  * [new branch]              gh/malfet/482/base          -> origin/gh/malfet/482/base
2025-08-26T20:08:14.6744271Z  * [new branch]              gh/malfet/482/head          -> origin/gh/malfet/482/head
2025-08-26T20:08:14.6744808Z  * [new branch]              gh/malfet/482/orig          -> origin/gh/malfet/482/orig
2025-08-26T20:08:14.6745520Z  * [new branch]              gh/malfet/483/base          -> origin/gh/malfet/483/base
2025-08-26T20:08:14.6746002Z  * [new branch]              gh/malfet/483/head          -> origin/gh/malfet/483/head
2025-08-26T20:08:14.6746543Z  * [new branch]              gh/malfet/483/orig          -> origin/gh/malfet/483/orig
2025-08-26T20:08:14.6747268Z  * [new branch]              gh/malfet/484/base          -> origin/gh/malfet/484/base
2025-08-26T20:08:14.6748111Z  * [new branch]              gh/malfet/484/head          -> origin/gh/malfet/484/head
2025-08-26T20:08:14.6748755Z  * [new branch]              gh/malfet/484/orig          -> origin/gh/malfet/484/orig
2025-08-26T20:08:14.6749442Z  * [new branch]              gh/malfet/485/base          -> origin/gh/malfet/485/base
2025-08-26T20:08:14.6749980Z  * [new branch]              gh/malfet/485/head          -> origin/gh/malfet/485/head
2025-08-26T20:08:14.6750511Z  * [new branch]              gh/malfet/485/orig          -> origin/gh/malfet/485/orig
2025-08-26T20:08:14.6751730Z  * [new branch]              gh/malfet/486/base          -> origin/gh/malfet/486/base
2025-08-26T20:08:14.6752140Z  * [new branch]              gh/malfet/486/head          -> origin/gh/malfet/486/head
2025-08-26T20:08:14.6752753Z  * [new branch]              gh/malfet/486/orig          -> origin/gh/malfet/486/orig
2025-08-26T20:08:14.6753404Z  * [new branch]              gh/malfet/487/base          -> origin/gh/malfet/487/base
2025-08-26T20:08:14.6753840Z  * [new branch]              gh/malfet/487/head          -> origin/gh/malfet/487/head
2025-08-26T20:08:14.6754440Z  * [new branch]              gh/malfet/487/orig          -> origin/gh/malfet/487/orig
2025-08-26T20:08:14.6755178Z  * [new branch]              gh/malfet/488/base          -> origin/gh/malfet/488/base
2025-08-26T20:08:14.6755601Z  * [new branch]              gh/malfet/488/head          -> origin/gh/malfet/488/head
2025-08-26T20:08:14.6756186Z  * [new branch]              gh/malfet/488/orig          -> origin/gh/malfet/488/orig
2025-08-26T20:08:14.6757007Z  * [new branch]              gh/malfet/489/base          -> origin/gh/malfet/489/base
2025-08-26T20:08:14.6757387Z  * [new branch]              gh/malfet/489/head          -> origin/gh/malfet/489/head
2025-08-26T20:08:14.6758198Z  * [new branch]              gh/malfet/489/orig          -> origin/gh/malfet/489/orig
2025-08-26T20:08:14.6758921Z  * [new branch]              gh/malfet/490/base          -> origin/gh/malfet/490/base
2025-08-26T20:08:14.6759394Z  * [new branch]              gh/malfet/490/head          -> origin/gh/malfet/490/head
2025-08-26T20:08:14.6760028Z  * [new branch]              gh/malfet/490/orig          -> origin/gh/malfet/490/orig
2025-08-26T20:08:14.6760923Z  * [new branch]              gh/malfet/491/base          -> origin/gh/malfet/491/base
2025-08-26T20:08:14.6761517Z  * [new branch]              gh/malfet/491/head          -> origin/gh/malfet/491/head
2025-08-26T20:08:14.6762063Z  * [new branch]              gh/malfet/491/orig          -> origin/gh/malfet/491/orig
2025-08-26T20:08:14.6763160Z  * [new branch]              gh/malfet/492/base          -> origin/gh/malfet/492/base
2025-08-26T20:08:14.6763519Z  * [new branch]              gh/malfet/492/head          -> origin/gh/malfet/492/head
2025-08-26T20:08:14.6764122Z  * [new branch]              gh/malfet/492/orig          -> origin/gh/malfet/492/orig
2025-08-26T20:08:14.6765219Z  * [new branch]              gh/malfet/493/base          -> origin/gh/malfet/493/base
2025-08-26T20:08:14.6765625Z  * [new branch]              gh/malfet/493/head          -> origin/gh/malfet/493/head
2025-08-26T20:08:14.6770378Z  * [new branch]              gh/malfet/493/orig          -> origin/gh/malfet/493/orig
2025-08-26T20:08:14.6771084Z  * [new branch]              gh/malfet/494/base          -> origin/gh/malfet/494/base
2025-08-26T20:08:14.6771638Z  * [new branch]              gh/malfet/494/head          -> origin/gh/malfet/494/head
2025-08-26T20:08:14.6772193Z  * [new branch]              gh/malfet/494/orig          -> origin/gh/malfet/494/orig
2025-08-26T20:08:14.6772876Z  * [new branch]              gh/malfet/495/base          -> origin/gh/malfet/495/base
2025-08-26T20:08:14.6773492Z  * [new branch]              gh/malfet/495/head          -> origin/gh/malfet/495/head
2025-08-26T20:08:14.6774045Z  * [new branch]              gh/malfet/495/orig          -> origin/gh/malfet/495/orig
2025-08-26T20:08:14.6774901Z  * [new branch]              gh/malfet/496/base          -> origin/gh/malfet/496/base
2025-08-26T20:08:14.6775342Z  * [new branch]              gh/malfet/496/head          -> origin/gh/malfet/496/head
2025-08-26T20:08:14.6775956Z  * [new branch]              gh/malfet/496/orig          -> origin/gh/malfet/496/orig
2025-08-26T20:08:14.6776685Z  * [new branch]              gh/malfet/497/base          -> origin/gh/malfet/497/base
2025-08-26T20:08:14.6777128Z  * [new branch]              gh/malfet/497/head          -> origin/gh/malfet/497/head
2025-08-26T20:08:14.6777842Z  * [new branch]              gh/malfet/497/orig          -> origin/gh/malfet/497/orig
2025-08-26T20:08:14.6778632Z  * [new branch]              gh/malfet/498/base          -> origin/gh/malfet/498/base
2025-08-26T20:08:14.6779065Z  * [new branch]              gh/malfet/498/head          -> origin/gh/malfet/498/head
2025-08-26T20:08:14.6779749Z  * [new branch]              gh/malfet/498/orig          -> origin/gh/malfet/498/orig
2025-08-26T20:08:14.6780352Z  * [new branch]              gh/malfet/499/base          -> origin/gh/malfet/499/base
2025-08-26T20:08:14.6780788Z  * [new branch]              gh/malfet/499/head          -> origin/gh/malfet/499/head
2025-08-26T20:08:14.6781389Z  * [new branch]              gh/malfet/499/orig          -> origin/gh/malfet/499/orig
2025-08-26T20:08:14.6782091Z  * [new branch]              gh/malfet/500/base          -> origin/gh/malfet/500/base
2025-08-26T20:08:14.6782690Z  * [new branch]              gh/malfet/500/head          -> origin/gh/malfet/500/head
2025-08-26T20:08:14.6783079Z  * [new branch]              gh/malfet/500/orig          -> origin/gh/malfet/500/orig
2025-08-26T20:08:14.6784061Z  * [new branch]              gh/malfet/64/base           -> origin/gh/malfet/64/base
2025-08-26T20:08:14.6784432Z  * [new branch]              gh/malfet/64/head           -> origin/gh/malfet/64/head
2025-08-26T20:08:14.6785574Z  * [new branch]              gh/manuelcandales/10/base   -> origin/gh/manuelcandales/10/base
2025-08-26T20:08:14.6786042Z  * [new branch]              gh/manuelcandales/10/head   -> origin/gh/manuelcandales/10/head
2025-08-26T20:08:14.6786686Z  * [new branch]              gh/manuelcandales/10/orig   -> origin/gh/manuelcandales/10/orig
2025-08-26T20:08:14.6787389Z  * [new branch]              gh/manuelcandales/11/base   -> origin/gh/manuelcandales/11/base
2025-08-26T20:08:14.6787840Z  * [new branch]              gh/manuelcandales/11/head   -> origin/gh/manuelcandales/11/head
2025-08-26T20:08:14.6788562Z  * [new branch]              gh/manuelcandales/11/orig   -> origin/gh/manuelcandales/11/orig
2025-08-26T20:08:14.6789238Z  * [new branch]              gh/manuelcandales/9/base    -> origin/gh/manuelcandales/9/base
2025-08-26T20:08:14.6789683Z  * [new branch]              gh/manuelcandales/9/head    -> origin/gh/manuelcandales/9/head
2025-08-26T20:08:14.6790254Z  * [new branch]              gh/manuelcandales/9/orig    -> origin/gh/manuelcandales/9/orig
2025-08-26T20:08:14.6791322Z  * [new branch]              gh/markkm/1/base            -> origin/gh/markkm/1/base
2025-08-26T20:08:14.6792475Z  * [new branch]              gh/masnesral/204/base       -> origin/gh/masnesral/204/base
2025-08-26T20:08:14.6793099Z  * [new branch]              gh/masnesral/204/head       -> origin/gh/masnesral/204/head
2025-08-26T20:08:14.6793759Z  * [new branch]              gh/masnesral/204/orig       -> origin/gh/masnesral/204/orig
2025-08-26T20:08:14.6794595Z  * [new branch]              gh/masnesral/232/base       -> origin/gh/masnesral/232/base
2025-08-26T20:08:14.6795343Z  * [new branch]              gh/masnesral/232/head       -> origin/gh/masnesral/232/head
2025-08-26T20:08:14.6795602Z  * [new branch]              gh/masnesral/232/orig       -> origin/gh/masnesral/232/orig
2025-08-26T20:08:14.6796428Z  * [new branch]              gh/masnesral/233/base       -> origin/gh/masnesral/233/base
2025-08-26T20:08:14.6796910Z  * [new branch]              gh/masnesral/233/head       -> origin/gh/masnesral/233/head
2025-08-26T20:08:14.6797575Z  * [new branch]              gh/masnesral/233/orig       -> origin/gh/masnesral/233/orig
2025-08-26T20:08:14.6798333Z  * [new branch]              gh/masnesral/234/base       -> origin/gh/masnesral/234/base
2025-08-26T20:08:14.6798907Z  * [new branch]              gh/masnesral/234/head       -> origin/gh/masnesral/234/head
2025-08-26T20:08:14.6799536Z  * [new branch]              gh/masnesral/234/orig       -> origin/gh/masnesral/234/orig
2025-08-26T20:08:14.6800361Z  * [new branch]              gh/masnesral/235/base       -> origin/gh/masnesral/235/base
2025-08-26T20:08:14.6801004Z  * [new branch]              gh/masnesral/235/head       -> origin/gh/masnesral/235/head
2025-08-26T20:08:14.6801412Z  * [new branch]              gh/masnesral/235/orig       -> origin/gh/masnesral/235/orig
2025-08-26T20:08:14.6802219Z  * [new branch]              gh/masnesral/236/base       -> origin/gh/masnesral/236/base
2025-08-26T20:08:14.6802788Z  * [new branch]              gh/masnesral/236/head       -> origin/gh/masnesral/236/head
2025-08-26T20:08:14.6803403Z  * [new branch]              gh/masnesral/236/orig       -> origin/gh/masnesral/236/orig
2025-08-26T20:08:14.6804227Z  * [new branch]              gh/masnesral/34/base        -> origin/gh/masnesral/34/base
2025-08-26T20:08:14.6805525Z  * [new branch]              gh/mhorowitz/0/base         -> origin/gh/mhorowitz/0/base
2025-08-26T20:08:14.6806129Z  * [new branch]              gh/mhorowitz/0/head         -> origin/gh/mhorowitz/0/head
2025-08-26T20:08:14.6806856Z  * [new branch]              gh/mhorowitz/1/base         -> origin/gh/mhorowitz/1/base
2025-08-26T20:08:14.6807337Z  * [new branch]              gh/mhorowitz/1/head         -> origin/gh/mhorowitz/1/head
2025-08-26T20:08:14.6808040Z  * [new branch]              gh/mhorowitz/2/base         -> origin/gh/mhorowitz/2/base
2025-08-26T20:08:14.6808595Z  * [new branch]              gh/mhorowitz/2/head         -> origin/gh/mhorowitz/2/head
2025-08-26T20:08:14.6809540Z  * [new branch]              gh/mhorowitz/3/base         -> origin/gh/mhorowitz/3/base
2025-08-26T20:08:14.6809973Z  * [new branch]              gh/mhorowitz/3/head         -> origin/gh/mhorowitz/3/head
2025-08-26T20:08:14.6811027Z  * [new branch]              gh/mhorowitz/4/base         -> origin/gh/mhorowitz/4/base
2025-08-26T20:08:14.6811434Z  * [new branch]              gh/mhorowitz/4/head         -> origin/gh/mhorowitz/4/head
2025-08-26T20:08:14.6812158Z  * [new branch]              gh/mhorowitz/5/base         -> origin/gh/mhorowitz/5/base
2025-08-26T20:08:14.6812541Z  * [new branch]              gh/mhorowitz/5/head         -> origin/gh/mhorowitz/5/head
2025-08-26T20:08:14.6813278Z  * [new branch]              gh/mhorowitz/6/base         -> origin/gh/mhorowitz/6/base
2025-08-26T20:08:14.6813935Z  * [new branch]              gh/mhorowitz/6/head         -> origin/gh/mhorowitz/6/head
2025-08-26T20:08:14.6814961Z  * [new branch]              gh/mikaylagawarecki/234/base -> origin/gh/mikaylagawarecki/234/base
2025-08-26T20:08:14.6815414Z  * [new branch]              gh/mikaylagawarecki/234/head -> origin/gh/mikaylagawarecki/234/head
2025-08-26T20:08:14.6816167Z  * [new branch]              gh/mikaylagawarecki/235/base -> origin/gh/mikaylagawarecki/235/base
2025-08-26T20:08:14.6816558Z  * [new branch]              gh/mikaylagawarecki/235/head -> origin/gh/mikaylagawarecki/235/head
2025-08-26T20:08:14.6817621Z  * [new branch]              gh/mikaylagawarecki/236/base -> origin/gh/mikaylagawarecki/236/base
2025-08-26T20:08:14.6818042Z  * [new branch]              gh/mikaylagawarecki/236/head -> origin/gh/mikaylagawarecki/236/head
2025-08-26T20:08:14.6819080Z  * [new branch]              gh/mikaylagawarecki/237/base -> origin/gh/mikaylagawarecki/237/base
2025-08-26T20:08:14.6819461Z  * [new branch]              gh/mikaylagawarecki/237/head -> origin/gh/mikaylagawarecki/237/head
2025-08-26T20:08:14.6820284Z  * [new branch]              gh/mikaylagawarecki/238/base -> origin/gh/mikaylagawarecki/238/base
2025-08-26T20:08:14.6820895Z  * [new branch]              gh/mikaylagawarecki/238/head -> origin/gh/mikaylagawarecki/238/head
2025-08-26T20:08:14.6821610Z  * [new branch]              gh/mikaylagawarecki/317/base -> origin/gh/mikaylagawarecki/317/base
2025-08-26T20:08:14.6822183Z  * [new branch]              gh/mikaylagawarecki/317/head -> origin/gh/mikaylagawarecki/317/head
2025-08-26T20:08:14.6822626Z  * [new branch]              gh/mikaylagawarecki/317/orig -> origin/gh/mikaylagawarecki/317/orig
2025-08-26T20:08:14.6823398Z  * [new branch]              gh/mikaylagawarecki/320/base -> origin/gh/mikaylagawarecki/320/base
2025-08-26T20:08:14.6824129Z  * [new branch]              gh/mikaylagawarecki/320/head -> origin/gh/mikaylagawarecki/320/head
2025-08-26T20:08:14.6824543Z  * [new branch]              gh/mikaylagawarecki/320/orig -> origin/gh/mikaylagawarecki/320/orig
2025-08-26T20:08:14.6825306Z  * [new branch]              gh/mikaylagawarecki/329/base -> origin/gh/mikaylagawarecki/329/base
2025-08-26T20:08:14.6825731Z  * [new branch]              gh/mikaylagawarecki/329/head -> origin/gh/mikaylagawarecki/329/head
2025-08-26T20:08:14.6826369Z  * [new branch]              gh/mikaylagawarecki/329/orig -> origin/gh/mikaylagawarecki/329/orig
2025-08-26T20:08:14.6827108Z  * [new branch]              gh/mikaylagawarecki/330/base -> origin/gh/mikaylagawarecki/330/base
2025-08-26T20:08:14.6827522Z  * [new branch]              gh/mikaylagawarecki/330/head -> origin/gh/mikaylagawarecki/330/head
2025-08-26T20:08:14.6828211Z  * [new branch]              gh/mikaylagawarecki/330/orig -> origin/gh/mikaylagawarecki/330/orig
2025-08-26T20:08:14.6829012Z  * [new branch]              gh/mikaylagawarecki/331/base -> origin/gh/mikaylagawarecki/331/base
2025-08-26T20:08:14.6829790Z  * [new branch]              gh/mikaylagawarecki/331/head -> origin/gh/mikaylagawarecki/331/head
2025-08-26T20:08:14.6830063Z  * [new branch]              gh/mikaylagawarecki/331/orig -> origin/gh/mikaylagawarecki/331/orig
2025-08-26T20:08:14.6831119Z  * [new branch]              gh/mikaylagawarecki/332/base -> origin/gh/mikaylagawarecki/332/base
2025-08-26T20:08:14.6831538Z  * [new branch]              gh/mikaylagawarecki/332/head -> origin/gh/mikaylagawarecki/332/head
2025-08-26T20:08:14.6832123Z  * [new branch]              gh/mikaylagawarecki/332/orig -> origin/gh/mikaylagawarecki/332/orig
2025-08-26T20:08:14.6832737Z  * [new branch]              gh/mikaylagawarecki/333/base -> origin/gh/mikaylagawarecki/333/base
2025-08-26T20:08:14.6833416Z  * [new branch]              gh/mikaylagawarecki/333/head -> origin/gh/mikaylagawarecki/333/head
2025-08-26T20:08:14.6833863Z  * [new branch]              gh/mikaylagawarecki/333/orig -> origin/gh/mikaylagawarecki/333/orig
2025-08-26T20:08:14.6834672Z  * [new branch]              gh/mikaylagawarecki/334/base -> origin/gh/mikaylagawarecki/334/base
2025-08-26T20:08:14.6835053Z  * [new branch]              gh/mikaylagawarecki/334/head -> origin/gh/mikaylagawarecki/334/head
2025-08-26T20:08:14.6835775Z  * [new branch]              gh/mikaylagawarecki/334/orig -> origin/gh/mikaylagawarecki/334/orig
2025-08-26T20:08:14.6836515Z  * [new branch]              gh/mikaylagawarecki/335/base -> origin/gh/mikaylagawarecki/335/base
2025-08-26T20:08:14.6837089Z  * [new branch]              gh/mikaylagawarecki/335/head -> origin/gh/mikaylagawarecki/335/head
2025-08-26T20:08:14.6837536Z  * [new branch]              gh/mikaylagawarecki/335/orig -> origin/gh/mikaylagawarecki/335/orig
2025-08-26T20:08:14.6838375Z  * [new branch]              gh/mikaylagawarecki/336/base -> origin/gh/mikaylagawarecki/336/base
2025-08-26T20:08:14.6838825Z  * [new branch]              gh/mikaylagawarecki/336/head -> origin/gh/mikaylagawarecki/336/head
2025-08-26T20:08:14.6839401Z  * [new branch]              gh/mikaylagawarecki/336/orig -> origin/gh/mikaylagawarecki/336/orig
2025-08-26T20:08:14.6840052Z  * [new branch]              gh/mikaylagawarecki/337/base -> origin/gh/mikaylagawarecki/337/base
2025-08-26T20:08:14.6840485Z  * [new branch]              gh/mikaylagawarecki/337/head -> origin/gh/mikaylagawarecki/337/head
2025-08-26T20:08:14.6841092Z  * [new branch]              gh/mikaylagawarecki/337/orig -> origin/gh/mikaylagawarecki/337/orig
2025-08-26T20:08:14.6842251Z  * [new branch]              gh/mlazos/1/base            -> origin/gh/mlazos/1/base
2025-08-26T20:08:14.6842847Z  * [new branch]              gh/mlazos/1/head            -> origin/gh/mlazos/1/head
2025-08-26T20:08:14.6843272Z  * [new branch]              gh/mlazos/1/orig            -> origin/gh/mlazos/1/orig
2025-08-26T20:08:14.6844221Z  * [new branch]              gh/mlazos/10/base           -> origin/gh/mlazos/10/base
2025-08-26T20:08:14.6844814Z  * [new branch]              gh/mlazos/10/head           -> origin/gh/mlazos/10/head
2025-08-26T20:08:14.6845179Z  * [new branch]              gh/mlazos/10/orig           -> origin/gh/mlazos/10/orig
2025-08-26T20:08:14.6845900Z  * [new branch]              gh/mlazos/11/base           -> origin/gh/mlazos/11/base
2025-08-26T20:08:14.6846520Z  * [new branch]              gh/mlazos/11/head           -> origin/gh/mlazos/11/head
2025-08-26T20:08:14.6846944Z  * [new branch]              gh/mlazos/11/orig           -> origin/gh/mlazos/11/orig
2025-08-26T20:08:14.6847804Z  * [new branch]              gh/mlazos/12/base           -> origin/gh/mlazos/12/base
2025-08-26T20:08:14.6848352Z  * [new branch]              gh/mlazos/12/head           -> origin/gh/mlazos/12/head
2025-08-26T20:08:14.6848798Z  * [new branch]              gh/mlazos/12/orig           -> origin/gh/mlazos/12/orig
2025-08-26T20:08:14.6849649Z  * [new branch]              gh/mlazos/13/base           -> origin/gh/mlazos/13/base
2025-08-26T20:08:14.6850243Z  * [new branch]              gh/mlazos/13/head           -> origin/gh/mlazos/13/head
2025-08-26T20:08:14.6850705Z  * [new branch]              gh/mlazos/13/orig           -> origin/gh/mlazos/13/orig
2025-08-26T20:08:14.6851635Z  * [new branch]              gh/mlazos/14/base           -> origin/gh/mlazos/14/base
2025-08-26T20:08:14.6852211Z  * [new branch]              gh/mlazos/14/head           -> origin/gh/mlazos/14/head
2025-08-26T20:08:14.6852588Z  * [new branch]              gh/mlazos/14/orig           -> origin/gh/mlazos/14/orig
2025-08-26T20:08:14.6853481Z  * [new branch]              gh/mlazos/15/base           -> origin/gh/mlazos/15/base
2025-08-26T20:08:14.6854033Z  * [new branch]              gh/mlazos/15/head           -> origin/gh/mlazos/15/head
2025-08-26T20:08:14.6854460Z  * [new branch]              gh/mlazos/15/orig           -> origin/gh/mlazos/15/orig
2025-08-26T20:08:14.6855356Z  * [new branch]              gh/mlazos/16/base           -> origin/gh/mlazos/16/base
2025-08-26T20:08:14.6855953Z  * [new branch]              gh/mlazos/16/head           -> origin/gh/mlazos/16/head
2025-08-26T20:08:14.6856503Z  * [new branch]              gh/mlazos/16/orig           -> origin/gh/mlazos/16/orig
2025-08-26T20:08:14.6857174Z  * [new branch]              gh/mlazos/17/base           -> origin/gh/mlazos/17/base
2025-08-26T20:08:14.6857716Z  * [new branch]              gh/mlazos/17/head           -> origin/gh/mlazos/17/head
2025-08-26T20:08:14.6858103Z  * [new branch]              gh/mlazos/17/orig           -> origin/gh/mlazos/17/orig
2025-08-26T20:08:14.6858991Z  * [new branch]              gh/mlazos/2/base            -> origin/gh/mlazos/2/base
2025-08-26T20:08:14.6859319Z  * [new branch]              gh/mlazos/2/head            -> origin/gh/mlazos/2/head
2025-08-26T20:08:14.6859898Z  * [new branch]              gh/mlazos/2/orig            -> origin/gh/mlazos/2/orig
2025-08-26T20:08:14.6860831Z  * [new branch]              gh/mlazos/3/base            -> origin/gh/mlazos/3/base
2025-08-26T20:08:14.6861213Z  * [new branch]              gh/mlazos/3/head            -> origin/gh/mlazos/3/head
2025-08-26T20:08:14.6861841Z  * [new branch]              gh/mlazos/3/orig            -> origin/gh/mlazos/3/orig
2025-08-26T20:08:14.6862534Z  * [new branch]              gh/mlazos/4/base            -> origin/gh/mlazos/4/base
2025-08-26T20:08:14.6863078Z  * [new branch]              gh/mlazos/4/head            -> origin/gh/mlazos/4/head
2025-08-26T20:08:14.6863510Z  * [new branch]              gh/mlazos/4/orig            -> origin/gh/mlazos/4/orig
2025-08-26T20:08:14.6864346Z  * [new branch]              gh/mlazos/5/base            -> origin/gh/mlazos/5/base
2025-08-26T20:08:14.6864965Z  * [new branch]              gh/mlazos/5/head            -> origin/gh/mlazos/5/head
2025-08-26T20:08:14.6865564Z  * [new branch]              gh/mlazos/5/orig            -> origin/gh/mlazos/5/orig
2025-08-26T20:08:14.6866402Z  * [new branch]              gh/mlazos/6/base            -> origin/gh/mlazos/6/base
2025-08-26T20:08:14.6866775Z  * [new branch]              gh/mlazos/6/head            -> origin/gh/mlazos/6/head
2025-08-26T20:08:14.6867388Z  * [new branch]              gh/mlazos/6/orig            -> origin/gh/mlazos/6/orig
2025-08-26T20:08:14.6868198Z  * [new branch]              gh/mlazos/7/base            -> origin/gh/mlazos/7/base
2025-08-26T20:08:14.6868793Z  * [new branch]              gh/mlazos/7/head            -> origin/gh/mlazos/7/head
2025-08-26T20:08:14.6869219Z  * [new branch]              gh/mlazos/7/orig            -> origin/gh/mlazos/7/orig
2025-08-26T20:08:14.6870097Z  * [new branch]              gh/mlazos/8/base            -> origin/gh/mlazos/8/base
2025-08-26T20:08:14.6870506Z  * [new branch]              gh/mlazos/8/head            -> origin/gh/mlazos/8/head
2025-08-26T20:08:14.6871142Z  * [new branch]              gh/mlazos/8/orig            -> origin/gh/mlazos/8/orig
2025-08-26T20:08:14.6871953Z  * [new branch]              gh/mlazos/9/base            -> origin/gh/mlazos/9/base
2025-08-26T20:08:14.6872588Z  * [new branch]              gh/mlazos/9/head            -> origin/gh/mlazos/9/head
2025-08-26T20:08:14.6873195Z  * [new branch]              gh/mlazos/9/orig            -> origin/gh/mlazos/9/orig
2025-08-26T20:08:14.6874150Z  * [new branch]              gh/mrmiywj/1/base           -> origin/gh/mrmiywj/1/base
2025-08-26T20:08:14.6874753Z  * [new branch]              gh/mrmiywj/1/head           -> origin/gh/mrmiywj/1/head
2025-08-26T20:08:14.6875690Z  * [new branch]              gh/muchulee8/62/base        -> origin/gh/muchulee8/62/base
2025-08-26T20:08:14.6876316Z  * [new branch]              gh/muchulee8/62/head        -> origin/gh/muchulee8/62/head
2025-08-26T20:08:14.6877219Z  * [new branch]              gh/muchulee8/62/orig        -> origin/gh/muchulee8/62/orig
2025-08-26T20:08:14.6877965Z  * [new branch]              gh/muchulee8/63/base        -> origin/gh/muchulee8/63/base
2025-08-26T20:08:14.6878416Z  * [new branch]              gh/muchulee8/63/head        -> origin/gh/muchulee8/63/head
2025-08-26T20:08:14.6879367Z  * [new branch]              gh/muchulee8/63/orig        -> origin/gh/muchulee8/63/orig
2025-08-26T20:08:14.6880325Z  * [new branch]              gh/muchulee8/64/base        -> origin/gh/muchulee8/64/base
2025-08-26T20:08:14.6880925Z  * [new branch]              gh/muchulee8/64/head        -> origin/gh/muchulee8/64/head
2025-08-26T20:08:14.6881493Z  * [new branch]              gh/muchulee8/64/orig        -> origin/gh/muchulee8/64/orig
2025-08-26T20:08:14.6882327Z  * [new branch]              gh/muchulee8/65/base        -> origin/gh/muchulee8/65/base
2025-08-26T20:08:14.6882939Z  * [new branch]              gh/muchulee8/65/head        -> origin/gh/muchulee8/65/head
2025-08-26T20:08:14.6883546Z  * [new branch]              gh/muchulee8/65/orig        -> origin/gh/muchulee8/65/orig
2025-08-26T20:08:14.6884525Z  * [new branch]              gh/naveenthangudu/1/base    -> origin/gh/naveenthangudu/1/base
2025-08-26T20:08:14.6885090Z  * [new branch]              gh/naveenthangudu/1/head    -> origin/gh/naveenthangudu/1/head
2025-08-26T20:08:14.6885713Z  * [new branch]              gh/naveenthangudu/1/orig    -> origin/gh/naveenthangudu/1/orig
2025-08-26T20:08:14.6886418Z  * [new branch]              gh/naveenthangudu/2/base    -> origin/gh/naveenthangudu/2/base
2025-08-26T20:08:14.6886862Z  * [new branch]              gh/naveenthangudu/2/head    -> origin/gh/naveenthangudu/2/head
2025-08-26T20:08:14.6887485Z  * [new branch]              gh/naveenthangudu/2/orig    -> origin/gh/naveenthangudu/2/orig
2025-08-26T20:08:14.6888260Z  * [new branch]              gh/naveenthangudu/3/base    -> origin/gh/naveenthangudu/3/base
2025-08-26T20:08:14.6888707Z  * [new branch]              gh/naveenthangudu/3/head    -> origin/gh/naveenthangudu/3/head
2025-08-26T20:08:14.6889328Z  * [new branch]              gh/naveenthangudu/3/orig    -> origin/gh/naveenthangudu/3/orig
2025-08-26T20:08:14.6890155Z  * [new branch]              gh/naveenthangudu/4/base    -> origin/gh/naveenthangudu/4/base
2025-08-26T20:08:14.6890596Z  * [new branch]              gh/naveenthangudu/4/head    -> origin/gh/naveenthangudu/4/head
2025-08-26T20:08:14.6891270Z  * [new branch]              gh/naveenthangudu/4/orig    -> origin/gh/naveenthangudu/4/orig
2025-08-26T20:08:14.6892043Z  * [new branch]              gh/naveenthangudu/5/base    -> origin/gh/naveenthangudu/5/base
2025-08-26T20:08:14.6892503Z  * [new branch]              gh/naveenthangudu/5/head    -> origin/gh/naveenthangudu/5/head
2025-08-26T20:08:14.6893223Z  * [new branch]              gh/naveenthangudu/5/orig    -> origin/gh/naveenthangudu/5/orig
2025-08-26T20:08:14.6893952Z  * [new branch]              gh/naveenthangudu/6/base    -> origin/gh/naveenthangudu/6/base
2025-08-26T20:08:14.6894388Z  * [new branch]              gh/naveenthangudu/6/head    -> origin/gh/naveenthangudu/6/head
2025-08-26T20:08:14.6894947Z  * [new branch]              gh/naveenthangudu/6/orig    -> origin/gh/naveenthangudu/6/orig
2025-08-26T20:08:14.6895931Z  * [new branch]              gh/oulgen/35/base           -> origin/gh/oulgen/35/base
2025-08-26T20:08:14.6896513Z  * [new branch]              gh/oulgen/35/head           -> origin/gh/oulgen/35/head
2025-08-26T20:08:14.6896931Z  * [new branch]              gh/oulgen/35/orig           -> origin/gh/oulgen/35/orig
2025-08-26T20:08:14.6897865Z  * [new branch]              gh/oulgen/44/base           -> origin/gh/oulgen/44/base
2025-08-26T20:08:14.6898298Z  * [new branch]              gh/oulgen/44/head           -> origin/gh/oulgen/44/head
2025-08-26T20:08:14.6898913Z  * [new branch]              gh/oulgen/44/orig           -> origin/gh/oulgen/44/orig
2025-08-26T20:08:14.6899812Z  * [new branch]              gh/oulgen/45/base           -> origin/gh/oulgen/45/base
2025-08-26T20:08:14.6900244Z  * [new branch]              gh/oulgen/45/head           -> origin/gh/oulgen/45/head
2025-08-26T20:08:14.6900862Z  * [new branch]              gh/oulgen/45/orig           -> origin/gh/oulgen/45/orig
2025-08-26T20:08:14.6901564Z  * [new branch]              gh/oulgen/46/base           -> origin/gh/oulgen/46/base
2025-08-26T20:08:14.6902160Z  * [new branch]              gh/oulgen/46/head           -> origin/gh/oulgen/46/head
2025-08-26T20:08:14.6903027Z  * [new branch]              gh/oulgen/46/orig           -> origin/gh/oulgen/46/orig
2025-08-26T20:08:14.6903759Z  * [new branch]              gh/oulgen/47/base           -> origin/gh/oulgen/47/base
2025-08-26T20:08:14.6904252Z  * [new branch]              gh/oulgen/47/head           -> origin/gh/oulgen/47/head
2025-08-26T20:08:14.6904839Z  * [new branch]              gh/oulgen/47/orig           -> origin/gh/oulgen/47/orig
2025-08-26T20:08:14.6905940Z  * [new branch]              gh/pearu/108/base           -> origin/gh/pearu/108/base
2025-08-26T20:08:14.6906551Z  * [new branch]              gh/pearu/108/head           -> origin/gh/pearu/108/head
2025-08-26T20:08:14.6907096Z  * [new branch]              gh/pearu/108/orig           -> origin/gh/pearu/108/orig
2025-08-26T20:08:14.6908103Z  * [new branch]              gh/pearu/56/base            -> origin/gh/pearu/56/base
2025-08-26T20:08:14.6908846Z  * [new branch]              gh/pearu/56/head            -> origin/gh/pearu/56/head
2025-08-26T20:08:14.6909386Z  * [new branch]              gh/pearu/56/orig            -> origin/gh/pearu/56/orig
2025-08-26T20:08:14.6910353Z  * [new branch]              gh/pearu/97/base            -> origin/gh/pearu/97/base
2025-08-26T20:08:14.6911008Z  * [new branch]              gh/pearu/97/head            -> origin/gh/pearu/97/head
2025-08-26T20:08:14.6911462Z  * [new branch]              gh/pearu/97/orig            -> origin/gh/pearu/97/orig
2025-08-26T20:08:14.6912441Z  * [new branch]              gh/qqaatw/29/base           -> origin/gh/qqaatw/29/base
2025-08-26T20:08:14.6912978Z  * [new branch]              gh/qqaatw/29/head           -> origin/gh/qqaatw/29/head
2025-08-26T20:08:14.6913517Z  * [new branch]              gh/qqaatw/29/orig           -> origin/gh/qqaatw/29/orig
2025-08-26T20:08:14.6914346Z  * [new branch]              gh/raymo/cleanup-dynamo-logging -> origin/gh/raymo/cleanup-dynamo-logging
2025-08-26T20:08:14.6914753Z  * [new branch]              gh/raymo/refresh-script     -> origin/gh/raymo/refresh-script
2025-08-26T20:08:14.6915662Z  * [new branch]              gh/rec/141/base             -> origin/gh/rec/141/base
2025-08-26T20:08:14.6916205Z  * [new branch]              gh/rec/141/head             -> origin/gh/rec/141/head
2025-08-26T20:08:14.6916913Z  * [new branch]              gh/rec/153/base             -> origin/gh/rec/153/base
2025-08-26T20:08:14.6917515Z  * [new branch]              gh/rec/153/head             -> origin/gh/rec/153/head
2025-08-26T20:08:14.6918057Z  * [new branch]              gh/rec/153/orig             -> origin/gh/rec/153/orig
2025-08-26T20:08:14.6918760Z  * [new branch]              gh/rec/154/base             -> origin/gh/rec/154/base
2025-08-26T20:08:14.6919305Z  * [new branch]              gh/rec/154/head             -> origin/gh/rec/154/head
2025-08-26T20:08:14.6919929Z  * [new branch]              gh/rec/154/orig             -> origin/gh/rec/154/orig
2025-08-26T20:08:14.6920860Z  * [new branch]              gh/rec/156/base             -> origin/gh/rec/156/base
2025-08-26T20:08:14.6921144Z  * [new branch]              gh/rec/156/head             -> origin/gh/rec/156/head
2025-08-26T20:08:14.6921727Z  * [new branch]              gh/rec/156/orig             -> origin/gh/rec/156/orig
2025-08-26T20:08:14.6922446Z  * [new branch]              gh/rec/158/base             -> origin/gh/rec/158/base
2025-08-26T20:08:14.6922986Z  * [new branch]              gh/rec/158/head             -> origin/gh/rec/158/head
2025-08-26T20:08:14.6923525Z  * [new branch]              gh/rec/158/orig             -> origin/gh/rec/158/orig
2025-08-26T20:08:14.6924241Z  * [new branch]              gh/rec/159/base             -> origin/gh/rec/159/base
2025-08-26T20:08:14.6925143Z  * [new branch]              gh/rec/159/head             -> origin/gh/rec/159/head
2025-08-26T20:08:14.6925845Z  * [new branch]              gh/rec/160/base             -> origin/gh/rec/160/base
2025-08-26T20:08:14.6926390Z  * [new branch]              gh/rec/160/head             -> origin/gh/rec/160/head
2025-08-26T20:08:14.6926850Z  * [new branch]              gh/rec/160/orig             -> origin/gh/rec/160/orig
2025-08-26T20:08:14.6927601Z  * [new branch]              gh/rec/161/base             -> origin/gh/rec/161/base
2025-08-26T20:08:14.6928129Z  * [new branch]              gh/rec/161/head             -> origin/gh/rec/161/head
2025-08-26T20:08:14.6928667Z  * [new branch]              gh/rec/161/orig             -> origin/gh/rec/161/orig
2025-08-26T20:08:14.6929581Z  * [new branch]              gh/rec/162/base             -> origin/gh/rec/162/base
2025-08-26T20:08:14.6929978Z  * [new branch]              gh/rec/162/head             -> origin/gh/rec/162/head
2025-08-26T20:08:14.6930553Z  * [new branch]              gh/rec/162/orig             -> origin/gh/rec/162/orig
2025-08-26T20:08:14.6931254Z  * [new branch]              gh/rec/163/base             -> origin/gh/rec/163/base
2025-08-26T20:08:14.6931799Z  * [new branch]              gh/rec/163/head             -> origin/gh/rec/163/head
2025-08-26T20:08:14.6932349Z  * [new branch]              gh/rec/163/orig             -> origin/gh/rec/163/orig
2025-08-26T20:08:14.6933084Z  * [new branch]              gh/rec/164/base             -> origin/gh/rec/164/base
2025-08-26T20:08:14.6933511Z  * [new branch]              gh/rec/164/head             -> origin/gh/rec/164/head
2025-08-26T20:08:14.6934172Z  * [new branch]              gh/rec/164/orig             -> origin/gh/rec/164/orig
2025-08-26T20:08:14.6935179Z  * [new branch]              gh/rec/165/base             -> origin/gh/rec/165/base
2025-08-26T20:08:14.6935718Z  * [new branch]              gh/rec/165/head             -> origin/gh/rec/165/head
2025-08-26T20:08:14.6936141Z  * [new branch]              gh/rec/165/orig             -> origin/gh/rec/165/orig
2025-08-26T20:08:14.6937201Z  * [new branch]              gh/robert-hardwick/1/base   -> origin/gh/robert-hardwick/1/base
2025-08-26T20:08:14.6937788Z  * [new branch]              gh/robert-hardwick/1/head   -> origin/gh/robert-hardwick/1/head
2025-08-26T20:08:14.6938403Z  * [new branch]              gh/robert-hardwick/1/orig   -> origin/gh/robert-hardwick/1/orig
2025-08-26T20:08:14.6939196Z  * [new branch]              gh/robert-hardwick/2/base   -> origin/gh/robert-hardwick/2/base
2025-08-26T20:08:14.6939812Z  * [new branch]              gh/robert-hardwick/2/head   -> origin/gh/robert-hardwick/2/head
2025-08-26T20:08:14.6940373Z  * [new branch]              gh/robert-hardwick/2/orig   -> origin/gh/robert-hardwick/2/orig
2025-08-26T20:08:14.6941101Z  * [new branch]              gh/robert-hardwick/3/base   -> origin/gh/robert-hardwick/3/base
2025-08-26T20:08:14.6941607Z  * [new branch]              gh/robert-hardwick/3/head   -> origin/gh/robert-hardwick/3/head
2025-08-26T20:08:14.6942174Z  * [new branch]              gh/robert-hardwick/3/orig   -> origin/gh/robert-hardwick/3/orig
2025-08-26T20:08:14.6942901Z  * [new branch]              gh/robert-hardwick/4/base   -> origin/gh/robert-hardwick/4/base
2025-08-26T20:08:14.6943360Z  * [new branch]              gh/robert-hardwick/4/head   -> origin/gh/robert-hardwick/4/head
2025-08-26T20:08:14.6943919Z  * [new branch]              gh/robert-hardwick/4/orig   -> origin/gh/robert-hardwick/4/orig
2025-08-26T20:08:14.6944774Z  * [new branch]              gh/rtimpe/1/base            -> origin/gh/rtimpe/1/base
2025-08-26T20:08:14.6945325Z  * [new branch]              gh/rtimpe/1/head            -> origin/gh/rtimpe/1/head
2025-08-26T20:08:14.6946083Z  * [new branch]              gh/rtimpe/10/base           -> origin/gh/rtimpe/10/base
2025-08-26T20:08:14.6946689Z  * [new branch]              gh/rtimpe/10/head           -> origin/gh/rtimpe/10/head
2025-08-26T20:08:14.6947253Z  * [new branch]              gh/rtimpe/10/orig           -> origin/gh/rtimpe/10/orig
2025-08-26T20:08:14.6948047Z  * [new branch]              gh/rtimpe/11/base           -> origin/gh/rtimpe/11/base
2025-08-26T20:08:14.6948484Z  * [new branch]              gh/rtimpe/11/head           -> origin/gh/rtimpe/11/head
2025-08-26T20:08:14.6949105Z  * [new branch]              gh/rtimpe/11/orig           -> origin/gh/rtimpe/11/orig
2025-08-26T20:08:14.6949757Z  * [new branch]              gh/rtimpe/12/base           -> origin/gh/rtimpe/12/base
2025-08-26T20:08:14.6950192Z  * [new branch]              gh/rtimpe/12/head           -> origin/gh/rtimpe/12/head
2025-08-26T20:08:14.6950795Z  * [new branch]              gh/rtimpe/12/orig           -> origin/gh/rtimpe/12/orig
2025-08-26T20:08:14.6951482Z  * [new branch]              gh/rtimpe/13/base           -> origin/gh/rtimpe/13/base
2025-08-26T20:08:14.6951923Z  * [new branch]              gh/rtimpe/13/head           -> origin/gh/rtimpe/13/head
2025-08-26T20:08:14.6952478Z  * [new branch]              gh/rtimpe/13/orig           -> origin/gh/rtimpe/13/orig
2025-08-26T20:08:14.6953554Z  * [new branch]              gh/rtimpe/14/base           -> origin/gh/rtimpe/14/base
2025-08-26T20:08:14.6954147Z  * [new branch]              gh/rtimpe/14/head           -> origin/gh/rtimpe/14/head
2025-08-26T20:08:14.6954740Z  * [new branch]              gh/rtimpe/14/orig           -> origin/gh/rtimpe/14/orig
2025-08-26T20:08:14.6955422Z  * [new branch]              gh/rtimpe/2/base            -> origin/gh/rtimpe/2/base
2025-08-26T20:08:14.6955846Z  * [new branch]              gh/rtimpe/2/head            -> origin/gh/rtimpe/2/head
2025-08-26T20:08:14.6956637Z  * [new branch]              gh/rtimpe/3/base            -> origin/gh/rtimpe/3/base
2025-08-26T20:08:14.6957189Z  * [new branch]              gh/rtimpe/3/head            -> origin/gh/rtimpe/3/head
2025-08-26T20:08:14.6957875Z  * [new branch]              gh/rtimpe/4/base            -> origin/gh/rtimpe/4/base
2025-08-26T20:08:14.6958427Z  * [new branch]              gh/rtimpe/4/head            -> origin/gh/rtimpe/4/head
2025-08-26T20:08:14.6959192Z  * [new branch]              gh/rtimpe/6/base            -> origin/gh/rtimpe/6/base
2025-08-26T20:08:14.6959736Z  * [new branch]              gh/rtimpe/6/head            -> origin/gh/rtimpe/6/head
2025-08-26T20:08:14.6960164Z  * [new branch]              gh/rtimpe/6/orig            -> origin/gh/rtimpe/6/orig
2025-08-26T20:08:14.6960982Z  * [new branch]              gh/rtimpe/7/base            -> origin/gh/rtimpe/7/base
2025-08-26T20:08:14.6961411Z  * [new branch]              gh/rtimpe/7/head            -> origin/gh/rtimpe/7/head
2025-08-26T20:08:14.6962049Z  * [new branch]              gh/rtimpe/7/orig            -> origin/gh/rtimpe/7/orig
2025-08-26T20:08:14.6962746Z  * [new branch]              gh/rtimpe/8/base            -> origin/gh/rtimpe/8/base
2025-08-26T20:08:14.6963188Z  * [new branch]              gh/rtimpe/8/head            -> origin/gh/rtimpe/8/head
2025-08-26T20:08:14.6963784Z  * [new branch]              gh/rtimpe/8/orig            -> origin/gh/rtimpe/8/orig
2025-08-26T20:08:14.6964539Z  * [new branch]              gh/rtimpe/9/base            -> origin/gh/rtimpe/9/base
2025-08-26T20:08:14.6965078Z  * [new branch]              gh/rtimpe/9/head            -> origin/gh/rtimpe/9/head
2025-08-26T20:08:14.6965570Z  * [new branch]              gh/rtimpe/9/orig            -> origin/gh/rtimpe/9/orig
2025-08-26T20:08:14.6966745Z  * [new branch]              gh/ruisizhang123/1/base     -> origin/gh/ruisizhang123/1/base
2025-08-26T20:08:14.6967181Z  * [new branch]              gh/ruisizhang123/1/head     -> origin/gh/ruisizhang123/1/head
2025-08-26T20:08:14.6967759Z  * [new branch]              gh/ruisizhang123/1/orig     -> origin/gh/ruisizhang123/1/orig
2025-08-26T20:08:14.6968521Z  * [new branch]              gh/ruisizhang123/4/base     -> origin/gh/ruisizhang123/4/base
2025-08-26T20:08:14.6968952Z  * [new branch]              gh/ruisizhang123/4/head     -> origin/gh/ruisizhang123/4/head
2025-08-26T20:08:14.6969605Z  * [new branch]              gh/ruisizhang123/4/orig     -> origin/gh/ruisizhang123/4/orig
2025-08-26T20:08:14.6970295Z  * [new branch]              gh/ruisizhang123/5/base     -> origin/gh/ruisizhang123/5/base
2025-08-26T20:08:14.6970733Z  * [new branch]              gh/ruisizhang123/5/head     -> origin/gh/ruisizhang123/5/head
2025-08-26T20:08:14.6971354Z  * [new branch]              gh/ruisizhang123/5/orig     -> origin/gh/ruisizhang123/5/orig
2025-08-26T20:08:14.6972070Z  * [new branch]              gh/ruisizhang123/6/base     -> origin/gh/ruisizhang123/6/base
2025-08-26T20:08:14.6972500Z  * [new branch]              gh/ruisizhang123/6/head     -> origin/gh/ruisizhang123/6/head
2025-08-26T20:08:14.6973114Z  * [new branch]              gh/ruisizhang123/6/orig     -> origin/gh/ruisizhang123/6/orig
2025-08-26T20:08:14.6973792Z  * [new branch]              gh/ruisizhang123/7/base     -> origin/gh/ruisizhang123/7/base
2025-08-26T20:08:14.6974353Z  * [new branch]              gh/ruisizhang123/7/head     -> origin/gh/ruisizhang123/7/head
2025-08-26T20:08:14.6974775Z  * [new branch]              gh/ruisizhang123/7/orig     -> origin/gh/ruisizhang123/7/orig
2025-08-26T20:08:14.6975684Z  * [new branch]              gh/ruisizhang123/8/base     -> origin/gh/ruisizhang123/8/base
2025-08-26T20:08:14.6976131Z  * [new branch]              gh/ruisizhang123/8/head     -> origin/gh/ruisizhang123/8/head
2025-08-26T20:08:14.6976768Z  * [new branch]              gh/ruisizhang123/8/orig     -> origin/gh/ruisizhang123/8/orig
2025-08-26T20:08:14.6977982Z  * [new branch]              gh/sarckk/2/base            -> origin/gh/sarckk/2/base
2025-08-26T20:08:14.6978536Z  * [new branch]              gh/sarckk/2/head            -> origin/gh/sarckk/2/head
2025-08-26T20:08:14.6978987Z  * [new branch]              gh/sarckk/2/orig            -> origin/gh/sarckk/2/orig
2025-08-26T20:08:14.6979979Z  * [new branch]              gh/seemethere/23/head       -> origin/gh/seemethere/23/head
2025-08-26T20:08:14.6980691Z  * [new branch]              gh/seemethere/32/base       -> origin/gh/seemethere/32/base
2025-08-26T20:08:14.6981123Z  * [new branch]              gh/seemethere/32/head       -> origin/gh/seemethere/32/head
2025-08-26T20:08:14.6981743Z  * [new branch]              gh/seemethere/32/orig       -> origin/gh/seemethere/32/orig
2025-08-26T20:08:14.6982543Z  * [new branch]              gh/seemethere/33/base       -> origin/gh/seemethere/33/base
2025-08-26T20:08:14.6982976Z  * [new branch]              gh/seemethere/33/head       -> origin/gh/seemethere/33/head
2025-08-26T20:08:14.6983602Z  * [new branch]              gh/seemethere/33/orig       -> origin/gh/seemethere/33/orig
2025-08-26T20:08:14.6984311Z  * [new branch]              gh/seemethere/34/base       -> origin/gh/seemethere/34/base
2025-08-26T20:08:14.6984938Z  * [new branch]              gh/seemethere/34/head       -> origin/gh/seemethere/34/head
2025-08-26T20:08:14.6985496Z  * [new branch]              gh/seemethere/34/orig       -> origin/gh/seemethere/34/orig
2025-08-26T20:08:14.6986243Z  * [new branch]              gh/seemethere/35/base       -> origin/gh/seemethere/35/base
2025-08-26T20:08:14.6986579Z  * [new branch]              gh/seemethere/35/head       -> origin/gh/seemethere/35/head
2025-08-26T20:08:14.6987354Z  * [new branch]              gh/seemethere/35/orig       -> origin/gh/seemethere/35/orig
2025-08-26T20:08:14.6988048Z  * [new branch]              gh/seemethere/37/base       -> origin/gh/seemethere/37/base
2025-08-26T20:08:14.6988481Z  * [new branch]              gh/seemethere/37/head       -> origin/gh/seemethere/37/head
2025-08-26T20:08:14.6989095Z  * [new branch]              gh/seemethere/37/orig       -> origin/gh/seemethere/37/orig
2025-08-26T20:08:14.6989898Z  * [new branch]              gh/seemethere/43/base       -> origin/gh/seemethere/43/base
2025-08-26T20:08:14.6990445Z  * [new branch]              gh/seemethere/43/head       -> origin/gh/seemethere/43/head
2025-08-26T20:08:14.6991026Z  * [new branch]              gh/seemethere/43/orig       -> origin/gh/seemethere/43/orig
2025-08-26T20:08:14.6991690Z  * [new branch]              gh/seemethere/44/base       -> origin/gh/seemethere/44/base
2025-08-26T20:08:14.6992264Z  * [new branch]              gh/seemethere/44/head       -> origin/gh/seemethere/44/head
2025-08-26T20:08:14.6992677Z  * [new branch]              gh/seemethere/44/orig       -> origin/gh/seemethere/44/orig
2025-08-26T20:08:14.6993491Z  * [new branch]              gh/seemethere/48/base       -> origin/gh/seemethere/48/base
2025-08-26T20:08:14.6994098Z  * [new branch]              gh/seemethere/48/head       -> origin/gh/seemethere/48/head
2025-08-26T20:08:14.6994694Z  * [new branch]              gh/seemethere/48/orig       -> origin/gh/seemethere/48/orig
2025-08-26T20:08:14.6995327Z  * [new branch]              gh/seemethere/49/base       -> origin/gh/seemethere/49/base
2025-08-26T20:08:14.6995758Z  * [new branch]              gh/seemethere/49/head       -> origin/gh/seemethere/49/head
2025-08-26T20:08:14.6996392Z  * [new branch]              gh/seemethere/49/orig       -> origin/gh/seemethere/49/orig
2025-08-26T20:08:14.6997121Z  * [new branch]              gh/seemethere/51/base       -> origin/gh/seemethere/51/base
2025-08-26T20:08:14.6997560Z  * [new branch]              gh/seemethere/51/head       -> origin/gh/seemethere/51/head
2025-08-26T20:08:14.6998526Z  * [new branch]              gh/seemethere/51/orig       -> origin/gh/seemethere/51/orig
2025-08-26T20:08:14.6999541Z  * [new branch]              gh/seemethere/52/base       -> origin/gh/seemethere/52/base
2025-08-26T20:08:14.7000034Z  * [new branch]              gh/seemethere/52/head       -> origin/gh/seemethere/52/head
2025-08-26T20:08:14.7000514Z  * [new branch]              gh/seemethere/52/orig       -> origin/gh/seemethere/52/orig
2025-08-26T20:08:14.7001299Z  * [new branch]              gh/seemethere/53/base       -> origin/gh/seemethere/53/base
2025-08-26T20:08:14.7001862Z  * [new branch]              gh/seemethere/53/head       -> origin/gh/seemethere/53/head
2025-08-26T20:08:14.7002430Z  * [new branch]              gh/seemethere/53/orig       -> origin/gh/seemethere/53/orig
2025-08-26T20:08:14.7003123Z  * [new branch]              gh/seemethere/54/base       -> origin/gh/seemethere/54/base
2025-08-26T20:08:14.7003754Z  * [new branch]              gh/seemethere/54/head       -> origin/gh/seemethere/54/head
2025-08-26T20:08:14.7004247Z  * [new branch]              gh/seemethere/54/orig       -> origin/gh/seemethere/54/orig
2025-08-26T20:08:14.7005060Z  * [new branch]              gh/seemethere/55/base       -> origin/gh/seemethere/55/base
2025-08-26T20:08:14.7005422Z  * [new branch]              gh/seemethere/55/head       -> origin/gh/seemethere/55/head
2025-08-26T20:08:14.7006041Z  * [new branch]              gh/seemethere/55/orig       -> origin/gh/seemethere/55/orig
2025-08-26T20:08:14.7006730Z  * [new branch]              gh/seemethere/56/base       -> origin/gh/seemethere/56/base
2025-08-26T20:08:14.7007285Z  * [new branch]              gh/seemethere/56/head       -> origin/gh/seemethere/56/head
2025-08-26T20:08:14.7007705Z  * [new branch]              gh/seemethere/56/orig       -> origin/gh/seemethere/56/orig
2025-08-26T20:08:14.7008477Z  * [new branch]              gh/seemethere/57/base       -> origin/gh/seemethere/57/base
2025-08-26T20:08:14.7008954Z  * [new branch]              gh/seemethere/57/head       -> origin/gh/seemethere/57/head
2025-08-26T20:08:14.7009437Z  * [new branch]              gh/seemethere/57/orig       -> origin/gh/seemethere/57/orig
2025-08-26T20:08:14.7010183Z  * [new branch]              gh/seemethere/58/base       -> origin/gh/seemethere/58/base
2025-08-26T20:08:14.7010608Z  * [new branch]              gh/seemethere/58/head       -> origin/gh/seemethere/58/head
2025-08-26T20:08:14.7011252Z  * [new branch]              gh/seemethere/58/orig       -> origin/gh/seemethere/58/orig
2025-08-26T20:08:14.7012297Z  * [new branch]              gh/seemethere/59/base       -> origin/gh/seemethere/59/base
2025-08-26T20:08:14.7012968Z  * [new branch]              gh/seemethere/59/head       -> origin/gh/seemethere/59/head
2025-08-26T20:08:14.7013522Z  * [new branch]              gh/seemethere/59/orig       -> origin/gh/seemethere/59/orig
2025-08-26T20:08:14.7014684Z  * [new branch]              gh/seemethere/7/head        -> origin/gh/seemethere/7/head
2025-08-26T20:08:14.7015794Z  * [new branch]              gh/shunting314/145/base     -> origin/gh/shunting314/145/base
2025-08-26T20:08:14.7016368Z  * [new branch]              gh/shunting314/145/head     -> origin/gh/shunting314/145/head
2025-08-26T20:08:14.7016929Z  * [new branch]              gh/shunting314/145/orig     -> origin/gh/shunting314/145/orig
2025-08-26T20:08:14.7017936Z  * [new branch]              gh/shunting314/176/base     -> origin/gh/shunting314/176/base
2025-08-26T20:08:14.7018522Z  * [new branch]              gh/shunting314/176/head     -> origin/gh/shunting314/176/head
2025-08-26T20:08:14.7019105Z  * [new branch]              gh/shunting314/176/orig     -> origin/gh/shunting314/176/orig
2025-08-26T20:08:14.7019960Z  * [new branch]              gh/shunting314/211/base     -> origin/gh/shunting314/211/base
2025-08-26T20:08:14.7020534Z  * [new branch]              gh/shunting314/211/head     -> origin/gh/shunting314/211/head
2025-08-26T20:08:14.7020937Z  * [new branch]              gh/shunting314/211/orig     -> origin/gh/shunting314/211/orig
2025-08-26T20:08:14.7021661Z  * [new branch]              gh/shunting314/212/base     -> origin/gh/shunting314/212/base
2025-08-26T20:08:14.7022083Z  * [new branch]              gh/shunting314/212/head     -> origin/gh/shunting314/212/head
2025-08-26T20:08:14.7022683Z  * [new branch]              gh/shunting314/212/orig     -> origin/gh/shunting314/212/orig
2025-08-26T20:08:14.7023914Z  * [new branch]              gh/shunting314/213/base     -> origin/gh/shunting314/213/base
2025-08-26T20:08:14.7024480Z  * [new branch]              gh/shunting314/213/head     -> origin/gh/shunting314/213/head
2025-08-26T20:08:14.7025107Z  * [new branch]              gh/shunting314/213/orig     -> origin/gh/shunting314/213/orig
2025-08-26T20:08:14.7025984Z  * [new branch]              gh/silverguo/1/base         -> origin/gh/silverguo/1/base
2025-08-26T20:08:14.7026553Z  * [new branch]              gh/silverguo/1/head         -> origin/gh/silverguo/1/head
2025-08-26T20:08:14.7027314Z  * [new branch]              gh/silverguo/2/base         -> origin/gh/silverguo/2/base
2025-08-26T20:08:14.7027699Z  * [new branch]              gh/silverguo/2/head         -> origin/gh/silverguo/2/head
2025-08-26T20:08:14.7028446Z  * [new branch]              gh/silverguo/3/base         -> origin/gh/silverguo/3/base
2025-08-26T20:08:14.7029014Z  * [new branch]              gh/silverguo/3/head         -> origin/gh/silverguo/3/head
2025-08-26T20:08:14.7029649Z  * [new branch]              gh/silverguo/4/base         -> origin/gh/silverguo/4/base
2025-08-26T20:08:14.7030079Z  * [new branch]              gh/silverguo/4/head         -> origin/gh/silverguo/4/head
2025-08-26T20:08:14.7031074Z  * [new branch]              gh/sinhaanhsul/1/base       -> origin/gh/sinhaanhsul/1/base
2025-08-26T20:08:14.7031627Z  * [new branch]              gh/sinhaanhsul/1/head       -> origin/gh/sinhaanhsul/1/head
2025-08-26T20:08:14.7032505Z  * [new branch]              gh/skarjala/13/base         -> origin/gh/skarjala/13/base
2025-08-26T20:08:14.7033219Z  * [new branch]              gh/skarjala/13/head         -> origin/gh/skarjala/13/head
2025-08-26T20:08:14.7033838Z  * [new branch]              gh/skarjala/13/orig         -> origin/gh/skarjala/13/orig
2025-08-26T20:08:14.7034538Z  * [new branch]              gh/skarjala/15/base         -> origin/gh/skarjala/15/base
2025-08-26T20:08:14.7034980Z  * [new branch]              gh/skarjala/15/head         -> origin/gh/skarjala/15/head
2025-08-26T20:08:14.7035595Z  * [new branch]              gh/skarjala/15/orig         -> origin/gh/skarjala/15/orig
2025-08-26T20:08:14.7036308Z  * [new branch]              gh/skarjala/16/base         -> origin/gh/skarjala/16/base
2025-08-26T20:08:14.7036737Z  * [new branch]              gh/skarjala/16/head         -> origin/gh/skarjala/16/head
2025-08-26T20:08:14.7037488Z  * [new branch]              gh/skarjala/16/orig         -> origin/gh/skarjala/16/orig
2025-08-26T20:08:14.7038097Z  * [new branch]              gh/skarjala/17/base         -> origin/gh/skarjala/17/base
2025-08-26T20:08:14.7038698Z  * [new branch]              gh/skarjala/17/head         -> origin/gh/skarjala/17/head
2025-08-26T20:08:14.7039075Z  * [new branch]              gh/skarjala/17/orig         -> origin/gh/skarjala/17/orig
2025-08-26T20:08:14.7039880Z  * [new branch]              gh/skarjala/18/base         -> origin/gh/skarjala/18/base
2025-08-26T20:08:14.7040327Z  * [new branch]              gh/skarjala/18/head         -> origin/gh/skarjala/18/head
2025-08-26T20:08:14.7041052Z  * [new branch]              gh/skarjala/18/orig         -> origin/gh/skarjala/18/orig
2025-08-26T20:08:14.7041751Z  * [new branch]              gh/skarjala/19/base         -> origin/gh/skarjala/19/base
2025-08-26T20:08:14.7042388Z  * [new branch]              gh/skarjala/19/head         -> origin/gh/skarjala/19/head
2025-08-26T20:08:14.7042788Z  * [new branch]              gh/skarjala/19/orig         -> origin/gh/skarjala/19/orig
2025-08-26T20:08:14.7043753Z  * [new branch]              gh/slayton58/1/base         -> origin/gh/slayton58/1/base
2025-08-26T20:08:14.7044201Z  * [new branch]              gh/slayton58/1/head         -> origin/gh/slayton58/1/head
2025-08-26T20:08:14.7044837Z  * [new branch]              gh/slayton58/1/orig         -> origin/gh/slayton58/1/orig
2025-08-26T20:08:14.7045493Z  * [new branch]              gh/slayton58/2/base         -> origin/gh/slayton58/2/base
2025-08-26T20:08:14.7045959Z  * [new branch]              gh/slayton58/2/head         -> origin/gh/slayton58/2/head
2025-08-26T20:08:14.7046601Z  * [new branch]              gh/slayton58/2/orig         -> origin/gh/slayton58/2/orig
2025-08-26T20:08:14.7047279Z  * [new branch]              gh/slayton58/3/base         -> origin/gh/slayton58/3/base
2025-08-26T20:08:14.7047883Z  * [new branch]              gh/slayton58/3/head         -> origin/gh/slayton58/3/head
2025-08-26T20:08:14.7048489Z  * [new branch]              gh/slayton58/3/orig         -> origin/gh/slayton58/3/orig
2025-08-26T20:08:14.7049156Z  * [new branch]              gh/slayton58/4/base         -> origin/gh/slayton58/4/base
2025-08-26T20:08:14.7049602Z  * [new branch]              gh/slayton58/4/head         -> origin/gh/slayton58/4/head
2025-08-26T20:08:14.7050187Z  * [new branch]              gh/slayton58/4/orig         -> origin/gh/slayton58/4/orig
2025-08-26T20:08:14.7050860Z  * [new branch]              gh/slayton58/5/base         -> origin/gh/slayton58/5/base
2025-08-26T20:08:14.7051472Z  * [new branch]              gh/slayton58/5/head         -> origin/gh/slayton58/5/head
2025-08-26T20:08:14.7052020Z  * [new branch]              gh/slayton58/5/orig         -> origin/gh/slayton58/5/orig
2025-08-26T20:08:14.7053045Z  * [new branch]              gh/soulitzer/269/base       -> origin/gh/soulitzer/269/base
2025-08-26T20:08:14.7053440Z  * [new branch]              gh/soulitzer/269/head       -> origin/gh/soulitzer/269/head
2025-08-26T20:08:14.7054094Z  * [new branch]              gh/soulitzer/269/orig       -> origin/gh/soulitzer/269/orig
2025-08-26T20:08:14.7055072Z  * [new branch]              gh/soulitzer/276/base       -> origin/gh/soulitzer/276/base
2025-08-26T20:08:14.7055506Z  * [new branch]              gh/soulitzer/276/head       -> origin/gh/soulitzer/276/head
2025-08-26T20:08:14.7056104Z  * [new branch]              gh/soulitzer/276/orig       -> origin/gh/soulitzer/276/orig
2025-08-26T20:08:14.7057436Z  * [new branch]              gh/soulitzer/287/base       -> origin/gh/soulitzer/287/base
2025-08-26T20:08:14.7057868Z  * [new branch]              gh/soulitzer/287/head       -> origin/gh/soulitzer/287/head
2025-08-26T20:08:14.7058499Z  * [new branch]              gh/soulitzer/287/orig       -> origin/gh/soulitzer/287/orig
2025-08-26T20:08:14.7059301Z  * [new branch]              gh/soulitzer/296/base       -> origin/gh/soulitzer/296/base
2025-08-26T20:08:14.7059898Z  * [new branch]              gh/soulitzer/296/head       -> origin/gh/soulitzer/296/head
2025-08-26T20:08:14.7060290Z  * [new branch]              gh/soulitzer/296/orig       -> origin/gh/soulitzer/296/orig
2025-08-26T20:08:14.7061129Z  * [new branch]              gh/soulitzer/299/base       -> origin/gh/soulitzer/299/base
2025-08-26T20:08:14.7061870Z  * [new branch]              gh/soulitzer/299/head       -> origin/gh/soulitzer/299/head
2025-08-26T20:08:14.7062315Z  * [new branch]              gh/soulitzer/299/orig       -> origin/gh/soulitzer/299/orig
2025-08-26T20:08:14.7063510Z  * [new branch]              gh/soulitzer/300/base       -> origin/gh/soulitzer/300/base
2025-08-26T20:08:14.7064131Z  * [new branch]              gh/soulitzer/300/head       -> origin/gh/soulitzer/300/head
2025-08-26T20:08:14.7064576Z  * [new branch]              gh/soulitzer/300/orig       -> origin/gh/soulitzer/300/orig
2025-08-26T20:08:14.7065525Z  * [new branch]              gh/soulitzer/301/base       -> origin/gh/soulitzer/301/base
2025-08-26T20:08:14.7066122Z  * [new branch]              gh/soulitzer/301/head       -> origin/gh/soulitzer/301/head
2025-08-26T20:08:14.7066745Z  * [new branch]              gh/soulitzer/301/orig       -> origin/gh/soulitzer/301/orig
2025-08-26T20:08:14.7067436Z  * [new branch]              gh/soulitzer/313/base       -> origin/gh/soulitzer/313/base
2025-08-26T20:08:14.7067889Z  * [new branch]              gh/soulitzer/313/head       -> origin/gh/soulitzer/313/head
2025-08-26T20:08:14.7068488Z  * [new branch]              gh/soulitzer/313/orig       -> origin/gh/soulitzer/313/orig
2025-08-26T20:08:14.7069242Z  * [new branch]              gh/soulitzer/319/base       -> origin/gh/soulitzer/319/base
2025-08-26T20:08:14.7069669Z  * [new branch]              gh/soulitzer/319/head       -> origin/gh/soulitzer/319/head
2025-08-26T20:08:14.7070556Z  * [new branch]              gh/soulitzer/319/orig       -> origin/gh/soulitzer/319/orig
2025-08-26T20:08:14.7071466Z  * [new branch]              gh/soulitzer/320/base       -> origin/gh/soulitzer/320/base
2025-08-26T20:08:14.7072077Z  * [new branch]              gh/soulitzer/320/head       -> origin/gh/soulitzer/320/head
2025-08-26T20:08:14.7072451Z  * [new branch]              gh/soulitzer/320/orig       -> origin/gh/soulitzer/320/orig
2025-08-26T20:08:14.7073461Z  * [new branch]              gh/soulitzer/336/base       -> origin/gh/soulitzer/336/base
2025-08-26T20:08:14.7073789Z  * [new branch]              gh/soulitzer/336/head       -> origin/gh/soulitzer/336/head
2025-08-26T20:08:14.7074392Z  * [new branch]              gh/soulitzer/336/orig       -> origin/gh/soulitzer/336/orig
2025-08-26T20:08:14.7075203Z  * [new branch]              gh/soulitzer/347/base       -> origin/gh/soulitzer/347/base
2025-08-26T20:08:14.7075605Z  * [new branch]              gh/soulitzer/347/head       -> origin/gh/soulitzer/347/head
2025-08-26T20:08:14.7076211Z  * [new branch]              gh/soulitzer/347/orig       -> origin/gh/soulitzer/347/orig
2025-08-26T20:08:14.7077065Z  * [new branch]              gh/soulitzer/349/base       -> origin/gh/soulitzer/349/base
2025-08-26T20:08:14.7077677Z  * [new branch]              gh/soulitzer/349/head       -> origin/gh/soulitzer/349/head
2025-08-26T20:08:14.7078162Z  * [new branch]              gh/soulitzer/349/orig       -> origin/gh/soulitzer/349/orig
2025-08-26T20:08:14.7078953Z  * [new branch]              gh/soulitzer/350/base       -> origin/gh/soulitzer/350/base
2025-08-26T20:08:14.7079323Z  * [new branch]              gh/soulitzer/350/head       -> origin/gh/soulitzer/350/head
2025-08-26T20:08:14.7079885Z  * [new branch]              gh/soulitzer/350/orig       -> origin/gh/soulitzer/350/orig
2025-08-26T20:08:14.7080725Z  * [new branch]              gh/soulitzer/351/base       -> origin/gh/soulitzer/351/base
2025-08-26T20:08:14.7081162Z  * [new branch]              gh/soulitzer/351/head       -> origin/gh/soulitzer/351/head
2025-08-26T20:08:14.7081705Z  * [new branch]              gh/soulitzer/351/orig       -> origin/gh/soulitzer/351/orig
2025-08-26T20:08:14.7082524Z  * [new branch]              gh/soulitzer/353/base       -> origin/gh/soulitzer/353/base
2025-08-26T20:08:14.7083148Z  * [new branch]              gh/soulitzer/353/head       -> origin/gh/soulitzer/353/head
2025-08-26T20:08:14.7083563Z  * [new branch]              gh/soulitzer/353/orig       -> origin/gh/soulitzer/353/orig
2025-08-26T20:08:14.7084926Z  * [new branch]              gh/soulitzer/358/base       -> origin/gh/soulitzer/358/base
2025-08-26T20:08:14.7085472Z  * [new branch]              gh/soulitzer/358/head       -> origin/gh/soulitzer/358/head
2025-08-26T20:08:14.7085915Z  * [new branch]              gh/soulitzer/358/orig       -> origin/gh/soulitzer/358/orig
2025-08-26T20:08:14.7087439Z  * [new branch]              gh/soulitzer/359/base       -> origin/gh/soulitzer/359/base
2025-08-26T20:08:14.7087992Z  * [new branch]              gh/soulitzer/359/head       -> origin/gh/soulitzer/359/head
2025-08-26T20:08:14.7088560Z  * [new branch]              gh/soulitzer/359/orig       -> origin/gh/soulitzer/359/orig
2025-08-26T20:08:14.7089381Z  * [new branch]              gh/soulitzer/362/base       -> origin/gh/soulitzer/362/base
2025-08-26T20:08:14.7089876Z  * [new branch]              gh/soulitzer/362/head       -> origin/gh/soulitzer/362/head
2025-08-26T20:08:14.7090431Z  * [new branch]              gh/soulitzer/362/orig       -> origin/gh/soulitzer/362/orig
2025-08-26T20:08:14.7091284Z  * [new branch]              gh/soulitzer/372/base       -> origin/gh/soulitzer/372/base
2025-08-26T20:08:14.7091721Z  * [new branch]              gh/soulitzer/372/head       -> origin/gh/soulitzer/372/head
2025-08-26T20:08:14.7092354Z  * [new branch]              gh/soulitzer/372/orig       -> origin/gh/soulitzer/372/orig
2025-08-26T20:08:14.7093037Z  * [new branch]              gh/soulitzer/373/base       -> origin/gh/soulitzer/373/base
2025-08-26T20:08:14.7093495Z  * [new branch]              gh/soulitzer/373/head       -> origin/gh/soulitzer/373/head
2025-08-26T20:08:14.7094108Z  * [new branch]              gh/soulitzer/373/orig       -> origin/gh/soulitzer/373/orig
2025-08-26T20:08:14.7094920Z  * [new branch]              gh/soulitzer/374/base       -> origin/gh/soulitzer/374/base
2025-08-26T20:08:14.7095469Z  * [new branch]              gh/soulitzer/374/head       -> origin/gh/soulitzer/374/head
2025-08-26T20:08:14.7096034Z  * [new branch]              gh/soulitzer/374/orig       -> origin/gh/soulitzer/374/orig
2025-08-26T20:08:14.7096681Z  * [new branch]              gh/soulitzer/375/base       -> origin/gh/soulitzer/375/base
2025-08-26T20:08:14.7097075Z  * [new branch]              gh/soulitzer/375/head       -> origin/gh/soulitzer/375/head
2025-08-26T20:08:14.7097679Z  * [new branch]              gh/soulitzer/375/orig       -> origin/gh/soulitzer/375/orig
2025-08-26T20:08:14.7098421Z  * [new branch]              gh/soulitzer/376/base       -> origin/gh/soulitzer/376/base
2025-08-26T20:08:14.7098981Z  * [new branch]              gh/soulitzer/376/head       -> origin/gh/soulitzer/376/head
2025-08-26T20:08:14.7099425Z  * [new branch]              gh/soulitzer/376/orig       -> origin/gh/soulitzer/376/orig
2025-08-26T20:08:14.7100340Z  * [new branch]              gh/soulitzer/377/base       -> origin/gh/soulitzer/377/base
2025-08-26T20:08:14.7100743Z  * [new branch]              gh/soulitzer/377/head       -> origin/gh/soulitzer/377/head
2025-08-26T20:08:14.7101404Z  * [new branch]              gh/soulitzer/377/orig       -> origin/gh/soulitzer/377/orig
2025-08-26T20:08:14.7102443Z  * [new branch]              gh/swolchok/728/next        -> origin/gh/swolchok/728/next
2025-08-26T20:08:14.7103213Z  * [new branch]              gh/swolchok/758/base        -> origin/gh/swolchok/758/base
2025-08-26T20:08:14.7103767Z  * [new branch]              gh/swolchok/758/head        -> origin/gh/swolchok/758/head
2025-08-26T20:08:14.7104315Z  * [new branch]              gh/swolchok/758/orig        -> origin/gh/swolchok/758/orig
2025-08-26T20:08:14.7105355Z  * [new branch]              gh/swolchok/767/base        -> origin/gh/swolchok/767/base
2025-08-26T20:08:14.7106006Z  * [new branch]              gh/swolchok/767/head        -> origin/gh/swolchok/767/head
2025-08-26T20:08:14.7106744Z  * [new branch]              gh/swolchok/767/orig        -> origin/gh/swolchok/767/orig
2025-08-26T20:08:14.7107529Z  * [new branch]              gh/swolchok/768/base        -> origin/gh/swolchok/768/base
2025-08-26T20:08:14.7108147Z  * [new branch]              gh/swolchok/768/head        -> origin/gh/swolchok/768/head
2025-08-26T20:08:14.7108720Z  * [new branch]              gh/swolchok/768/orig        -> origin/gh/swolchok/768/orig
2025-08-26T20:08:14.7109731Z  * [new branch]              gh/swolchok/769/base        -> origin/gh/swolchok/769/base
2025-08-26T20:08:14.7110299Z  * [new branch]              gh/swolchok/769/head        -> origin/gh/swolchok/769/head
2025-08-26T20:08:14.7110999Z  * [new branch]              gh/swolchok/769/orig        -> origin/gh/swolchok/769/orig
2025-08-26T20:08:14.7111802Z  * [new branch]              gh/swolchok/771/base        -> origin/gh/swolchok/771/base
2025-08-26T20:08:14.7112356Z  * [new branch]              gh/swolchok/771/head        -> origin/gh/swolchok/771/head
2025-08-26T20:08:14.7112856Z  * [new branch]              gh/swolchok/771/orig        -> origin/gh/swolchok/771/orig
2025-08-26T20:08:14.7113614Z  * [new branch]              gh/swolchok/772/base        -> origin/gh/swolchok/772/base
2025-08-26T20:08:14.7114232Z  * [new branch]              gh/swolchok/772/head        -> origin/gh/swolchok/772/head
2025-08-26T20:08:14.7114825Z  * [new branch]              gh/swolchok/772/orig        -> origin/gh/swolchok/772/orig
2025-08-26T20:08:14.7115611Z  * [new branch]              gh/swolchok/773/base        -> origin/gh/swolchok/773/base
2025-08-26T20:08:14.7116162Z  * [new branch]              gh/swolchok/773/head        -> origin/gh/swolchok/773/head
2025-08-26T20:08:14.7116768Z  * [new branch]              gh/swolchok/773/orig        -> origin/gh/swolchok/773/orig
2025-08-26T20:08:14.7117487Z  * [new branch]              gh/swolchok/786/base        -> origin/gh/swolchok/786/base
2025-08-26T20:08:14.7118041Z  * [new branch]              gh/swolchok/786/head        -> origin/gh/swolchok/786/head
2025-08-26T20:08:14.7118476Z  * [new branch]              gh/swolchok/786/orig        -> origin/gh/swolchok/786/orig
2025-08-26T20:08:14.7119260Z  * [new branch]              gh/swolchok/787/base        -> origin/gh/swolchok/787/base
2025-08-26T20:08:14.7119682Z  * [new branch]              gh/swolchok/787/head        -> origin/gh/swolchok/787/head
2025-08-26T20:08:14.7120395Z  * [new branch]              gh/swolchok/787/orig        -> origin/gh/swolchok/787/orig
2025-08-26T20:08:14.7121155Z  * [new branch]              gh/swolchok/788/base        -> origin/gh/swolchok/788/base
2025-08-26T20:08:14.7121704Z  * [new branch]              gh/swolchok/788/head        -> origin/gh/swolchok/788/head
2025-08-26T20:08:14.7122252Z  * [new branch]              gh/swolchok/788/orig        -> origin/gh/swolchok/788/orig
2025-08-26T20:08:14.7122953Z  * [new branch]              gh/swolchok/789/base        -> origin/gh/swolchok/789/base
2025-08-26T20:08:14.7123475Z  * [new branch]              gh/swolchok/789/head        -> origin/gh/swolchok/789/head
2025-08-26T20:08:14.7124007Z  * [new branch]              gh/swolchok/789/orig        -> origin/gh/swolchok/789/orig
2025-08-26T20:08:14.7124783Z  * [new branch]              gh/swolchok/790/base        -> origin/gh/swolchok/790/base
2025-08-26T20:08:14.7125387Z  * [new branch]              gh/swolchok/790/head        -> origin/gh/swolchok/790/head
2025-08-26T20:08:14.7125810Z  * [new branch]              gh/swolchok/790/orig        -> origin/gh/swolchok/790/orig
2025-08-26T20:08:14.7126673Z  * [new branch]              gh/swolchok/791/base        -> origin/gh/swolchok/791/base
2025-08-26T20:08:14.7127075Z  * [new branch]              gh/swolchok/791/head        -> origin/gh/swolchok/791/head
2025-08-26T20:08:14.7127715Z  * [new branch]              gh/swolchok/791/orig        -> origin/gh/swolchok/791/orig
2025-08-26T20:08:14.7128460Z  * [new branch]              gh/swolchok/792/base        -> origin/gh/swolchok/792/base
2025-08-26T20:08:14.7129074Z  * [new branch]              gh/swolchok/792/head        -> origin/gh/swolchok/792/head
2025-08-26T20:08:14.7129494Z  * [new branch]              gh/swolchok/792/orig        -> origin/gh/swolchok/792/orig
2025-08-26T20:08:14.7130340Z  * [new branch]              gh/swolchok/793/base        -> origin/gh/swolchok/793/base
2025-08-26T20:08:14.7130694Z  * [new branch]              gh/swolchok/793/head        -> origin/gh/swolchok/793/head
2025-08-26T20:08:14.7131295Z  * [new branch]              gh/swolchok/793/orig        -> origin/gh/swolchok/793/orig
2025-08-26T20:08:14.7132322Z  * [new branch]              gh/swolchok/794/base        -> origin/gh/swolchok/794/base
2025-08-26T20:08:14.7132931Z  * [new branch]              gh/swolchok/794/head        -> origin/gh/swolchok/794/head
2025-08-26T20:08:14.7133532Z  * [new branch]              gh/swolchok/794/orig        -> origin/gh/swolchok/794/orig
2025-08-26T20:08:14.7134274Z  * [new branch]              gh/swolchok/795/base        -> origin/gh/swolchok/795/base
2025-08-26T20:08:14.7134839Z  * [new branch]              gh/swolchok/795/head        -> origin/gh/swolchok/795/head
2025-08-26T20:08:14.7135274Z  * [new branch]              gh/swolchok/795/orig        -> origin/gh/swolchok/795/orig
2025-08-26T20:08:14.7136128Z  * [new branch]              gh/swolchok/796/base        -> origin/gh/swolchok/796/base
2025-08-26T20:08:14.7136663Z  * [new branch]              gh/swolchok/796/head        -> origin/gh/swolchok/796/head
2025-08-26T20:08:14.7137593Z  * [new branch]              gh/swolchok/796/orig        -> origin/gh/swolchok/796/orig
2025-08-26T20:08:14.7138464Z  * [new branch]              gh/swolchok/797/base        -> origin/gh/swolchok/797/base
2025-08-26T20:08:14.7139165Z  * [new branch]              gh/swolchok/797/head        -> origin/gh/swolchok/797/head
2025-08-26T20:08:14.7139751Z  * [new branch]              gh/swolchok/797/orig        -> origin/gh/swolchok/797/orig
2025-08-26T20:08:14.7140471Z  * [new branch]              gh/swolchok/798/base        -> origin/gh/swolchok/798/base
2025-08-26T20:08:14.7141091Z  * [new branch]              gh/swolchok/798/head        -> origin/gh/swolchok/798/head
2025-08-26T20:08:14.7141533Z  * [new branch]              gh/swolchok/798/orig        -> origin/gh/swolchok/798/orig
2025-08-26T20:08:14.7142429Z  * [new branch]              gh/swolchok/799/base        -> origin/gh/swolchok/799/base
2025-08-26T20:08:14.7142987Z  * [new branch]              gh/swolchok/799/head        -> origin/gh/swolchok/799/head
2025-08-26T20:08:14.7143607Z  * [new branch]              gh/swolchok/799/orig        -> origin/gh/swolchok/799/orig
2025-08-26T20:08:14.7144375Z  * [new branch]              gh/swolchok/800/base        -> origin/gh/swolchok/800/base
2025-08-26T20:08:14.7144932Z  * [new branch]              gh/swolchok/800/head        -> origin/gh/swolchok/800/head
2025-08-26T20:08:14.7145531Z  * [new branch]              gh/swolchok/800/orig        -> origin/gh/swolchok/800/orig
2025-08-26T20:08:14.7146306Z  * [new branch]              gh/swolchok/801/base        -> origin/gh/swolchok/801/base
2025-08-26T20:08:14.7146869Z  * [new branch]              gh/swolchok/801/head        -> origin/gh/swolchok/801/head
2025-08-26T20:08:14.7147456Z  * [new branch]              gh/swolchok/801/orig        -> origin/gh/swolchok/801/orig
2025-08-26T20:08:14.7148152Z  * [new branch]              gh/swolchok/802/base        -> origin/gh/swolchok/802/base
2025-08-26T20:08:14.7148874Z  * [new branch]              gh/swolchok/802/head        -> origin/gh/swolchok/802/head
2025-08-26T20:08:14.7149321Z  * [new branch]              gh/swolchok/802/orig        -> origin/gh/swolchok/802/orig
2025-08-26T20:08:14.7150248Z  * [new branch]              gh/swolchok/803/base        -> origin/gh/swolchok/803/base
2025-08-26T20:08:14.7150619Z  * [new branch]              gh/swolchok/803/head        -> origin/gh/swolchok/803/head
2025-08-26T20:08:14.7151261Z  * [new branch]              gh/swolchok/803/orig        -> origin/gh/swolchok/803/orig
2025-08-26T20:08:14.7151929Z  * [new branch]              gh/swolchok/804/base        -> origin/gh/swolchok/804/base
2025-08-26T20:08:14.7152516Z  * [new branch]              gh/swolchok/804/head        -> origin/gh/swolchok/804/head
2025-08-26T20:08:14.7153070Z  * [new branch]              gh/swolchok/804/orig        -> origin/gh/swolchok/804/orig
2025-08-26T20:08:14.7153751Z  * [new branch]              gh/swolchok/805/base        -> origin/gh/swolchok/805/base
2025-08-26T20:08:14.7154306Z  * [new branch]              gh/swolchok/805/head        -> origin/gh/swolchok/805/head
2025-08-26T20:08:14.7154857Z  * [new branch]              gh/swolchok/805/orig        -> origin/gh/swolchok/805/orig
2025-08-26T20:08:14.7155549Z  * [new branch]              gh/swolchok/806/base        -> origin/gh/swolchok/806/base
2025-08-26T20:08:14.7156155Z  * [new branch]              gh/swolchok/806/head        -> origin/gh/swolchok/806/head
2025-08-26T20:08:14.7156642Z  * [new branch]              gh/swolchok/806/orig        -> origin/gh/swolchok/806/orig
2025-08-26T20:08:14.7157351Z  * [new branch]              gh/swolchok/807/base        -> origin/gh/swolchok/807/base
2025-08-26T20:08:14.7158014Z  * [new branch]              gh/swolchok/807/head        -> origin/gh/swolchok/807/head
2025-08-26T20:08:14.7158458Z  * [new branch]              gh/swolchok/807/orig        -> origin/gh/swolchok/807/orig
2025-08-26T20:08:14.7159174Z  * [new branch]              gh/swolchok/808/base        -> origin/gh/swolchok/808/base
2025-08-26T20:08:14.7159618Z  * [new branch]              gh/swolchok/808/head        -> origin/gh/swolchok/808/head
2025-08-26T20:08:14.7160213Z  * [new branch]              gh/swolchok/808/orig        -> origin/gh/swolchok/808/orig
2025-08-26T20:08:14.7160933Z  * [new branch]              gh/swolchok/809/base        -> origin/gh/swolchok/809/base
2025-08-26T20:08:14.7161485Z  * [new branch]              gh/swolchok/809/head        -> origin/gh/swolchok/809/head
2025-08-26T20:08:14.7161826Z  * [new branch]              gh/swolchok/809/orig        -> origin/gh/swolchok/809/orig
2025-08-26T20:08:14.7162992Z  * [new branch]              gh/syed-ahmed/2/base        -> origin/gh/syed-ahmed/2/base
2025-08-26T20:08:14.7163413Z  * [new branch]              gh/syed-ahmed/2/head        -> origin/gh/syed-ahmed/2/head
2025-08-26T20:08:14.7164012Z  * [new branch]              gh/syed-ahmed/2/orig        -> origin/gh/syed-ahmed/2/orig
2025-08-26T20:08:14.7164756Z  * [new branch]              gh/syed-ahmed/3/base        -> origin/gh/syed-ahmed/3/base
2025-08-26T20:08:14.7165191Z  * [new branch]              gh/syed-ahmed/3/head        -> origin/gh/syed-ahmed/3/head
2025-08-26T20:08:14.7165817Z  * [new branch]              gh/syed-ahmed/3/orig        -> origin/gh/syed-ahmed/3/orig
2025-08-26T20:08:14.7170860Z  * [new branch]              gh/syed-ahmed/4/base        -> origin/gh/syed-ahmed/4/base
2025-08-26T20:08:14.7171521Z  * [new branch]              gh/syed-ahmed/4/head        -> origin/gh/syed-ahmed/4/head
2025-08-26T20:08:14.7172149Z  * [new branch]              gh/syed-ahmed/4/orig        -> origin/gh/syed-ahmed/4/orig
2025-08-26T20:08:14.7173160Z  * [new branch]              gh/teja-rao/4/base          -> origin/gh/teja-rao/4/base
2025-08-26T20:08:14.7173756Z  * [new branch]              gh/teja-rao/4/head          -> origin/gh/teja-rao/4/head
2025-08-26T20:08:14.7174349Z  * [new branch]              gh/teja-rao/4/orig          -> origin/gh/teja-rao/4/orig
2025-08-26T20:08:14.7175348Z  * [new branch]              gh/tianyu-l/2/base          -> origin/gh/tianyu-l/2/base
2025-08-26T20:08:14.7175888Z  * [new branch]              gh/tianyu-l/2/head          -> origin/gh/tianyu-l/2/head
2025-08-26T20:08:14.7176445Z  * [new branch]              gh/tianyu-l/2/orig          -> origin/gh/tianyu-l/2/orig
2025-08-26T20:08:14.7177451Z  * [new branch]              gh/tugsbayasgalan/1/base    -> origin/gh/tugsbayasgalan/1/base
2025-08-26T20:08:14.7177968Z  * [new branch]              gh/tugsbayasgalan/1/head    -> origin/gh/tugsbayasgalan/1/head
2025-08-26T20:08:14.7178549Z  * [new branch]              gh/tugsbayasgalan/1/orig    -> origin/gh/tugsbayasgalan/1/orig
2025-08-26T20:08:14.7179672Z  * [new branch]              gh/tugsbayasgalan/2/base    -> origin/gh/tugsbayasgalan/2/base
2025-08-26T20:08:14.7180111Z  * [new branch]              gh/tugsbayasgalan/2/head    -> origin/gh/tugsbayasgalan/2/head
2025-08-26T20:08:14.7180705Z  * [new branch]              gh/tugsbayasgalan/2/orig    -> origin/gh/tugsbayasgalan/2/orig
2025-08-26T20:08:14.7181437Z  * [new branch]              gh/tugsbayasgalan/3/base    -> origin/gh/tugsbayasgalan/3/base
2025-08-26T20:08:14.7182125Z  * [new branch]              gh/tugsbayasgalan/3/head    -> origin/gh/tugsbayasgalan/3/head
2025-08-26T20:08:14.7182582Z  * [new branch]              gh/tugsbayasgalan/3/orig    -> origin/gh/tugsbayasgalan/3/orig
2025-08-26T20:08:14.7183667Z  * [new branch]              gh/v0i0/1/base              -> origin/gh/v0i0/1/base
2025-08-26T20:08:14.7184217Z  * [new branch]              gh/v0i0/1/head              -> origin/gh/v0i0/1/head
2025-08-26T20:08:14.7184641Z  * [new branch]              gh/v0i0/1/orig              -> origin/gh/v0i0/1/orig
2025-08-26T20:08:14.7185433Z  * [new branch]              gh/v0i0/2/base              -> origin/gh/v0i0/2/base
2025-08-26T20:08:14.7185965Z  * [new branch]              gh/v0i0/2/head              -> origin/gh/v0i0/2/head
2025-08-26T20:08:14.7186499Z  * [new branch]              gh/v0i0/2/orig              -> origin/gh/v0i0/2/orig
2025-08-26T20:08:14.7187480Z  * [new branch]              gh/v0i0/3/base              -> origin/gh/v0i0/3/base
2025-08-26T20:08:14.7188014Z  * [new branch]              gh/v0i0/3/head              -> origin/gh/v0i0/3/head
2025-08-26T20:08:14.7188545Z  * [new branch]              gh/v0i0/3/orig              -> origin/gh/v0i0/3/orig
2025-08-26T20:08:14.7189353Z  * [new branch]              gh/v0i0/4/base              -> origin/gh/v0i0/4/base
2025-08-26T20:08:14.7189752Z  * [new branch]              gh/v0i0/4/head              -> origin/gh/v0i0/4/head
2025-08-26T20:08:14.7190320Z  * [new branch]              gh/v0i0/4/orig              -> origin/gh/v0i0/4/orig
2025-08-26T20:08:14.7191159Z  * [new branch]              gh/v0i0/5/base              -> origin/gh/v0i0/5/base
2025-08-26T20:08:14.7191591Z  * [new branch]              gh/v0i0/5/head              -> origin/gh/v0i0/5/head
2025-08-26T20:08:14.7192192Z  * [new branch]              gh/v0i0/5/orig              -> origin/gh/v0i0/5/orig
2025-08-26T20:08:14.7192975Z  * [new branch]              gh/v0i0/6/base              -> origin/gh/v0i0/6/base
2025-08-26T20:08:14.7193523Z  * [new branch]              gh/v0i0/6/head              -> origin/gh/v0i0/6/head
2025-08-26T20:08:14.7194080Z  * [new branch]              gh/v0i0/6/orig              -> origin/gh/v0i0/6/orig
2025-08-26T20:08:14.7194758Z  * [new branch]              gh/v0i0/7/base              -> origin/gh/v0i0/7/base
2025-08-26T20:08:14.7195302Z  * [new branch]              gh/v0i0/7/head              -> origin/gh/v0i0/7/head
2025-08-26T20:08:14.7195948Z  * [new branch]              gh/v0i0/7/orig              -> origin/gh/v0i0/7/orig
2025-08-26T20:08:14.7196890Z  * [new branch]              gh/vkuzo/1/next             -> origin/gh/vkuzo/1/next
2025-08-26T20:08:14.7197619Z  * [new branch]              gh/vkuzo/2/next             -> origin/gh/vkuzo/2/next
2025-08-26T20:08:14.7198447Z  * [new branch]              gh/vkuzo/3/next             -> origin/gh/vkuzo/3/next
2025-08-26T20:08:14.7199206Z  * [new branch]              gh/vkuzo/4/base             -> origin/gh/vkuzo/4/base
2025-08-26T20:08:14.7199754Z  * [new branch]              gh/vkuzo/4/head             -> origin/gh/vkuzo/4/head
2025-08-26T20:08:14.7200340Z  * [new branch]              gh/vkuzo/4/orig             -> origin/gh/vkuzo/4/orig
2025-08-26T20:08:14.7201487Z  * [new branch]              gh/wconstab/392/base        -> origin/gh/wconstab/392/base
2025-08-26T20:08:14.7202044Z  * [new branch]              gh/wconstab/392/head        -> origin/gh/wconstab/392/head
2025-08-26T20:08:14.7202926Z  * [new branch]              gh/wconstab/392/orig        -> origin/gh/wconstab/392/orig
2025-08-26T20:08:14.7203845Z  * [new branch]              gh/wconstab/419/base        -> origin/gh/wconstab/419/base
2025-08-26T20:08:14.7204213Z  * [new branch]              gh/wconstab/419/head        -> origin/gh/wconstab/419/head
2025-08-26T20:08:14.7204843Z  * [new branch]              gh/wconstab/419/orig        -> origin/gh/wconstab/419/orig
2025-08-26T20:08:14.7205630Z  * [new branch]              gh/wconstab/424/base        -> origin/gh/wconstab/424/base
2025-08-26T20:08:14.7206046Z  * [new branch]              gh/wconstab/424/head        -> origin/gh/wconstab/424/head
2025-08-26T20:08:14.7206642Z  * [new branch]              gh/wconstab/424/orig        -> origin/gh/wconstab/424/orig
2025-08-26T20:08:14.7207371Z  * [new branch]              gh/wconstab/432/base        -> origin/gh/wconstab/432/base
2025-08-26T20:08:14.7207942Z  * [new branch]              gh/wconstab/432/head        -> origin/gh/wconstab/432/head
2025-08-26T20:08:14.7208701Z  * [new branch]              gh/wconstab/432/orig        -> origin/gh/wconstab/432/orig
2025-08-26T20:08:14.7209452Z  * [new branch]              gh/wconstab/433/base        -> origin/gh/wconstab/433/base
2025-08-26T20:08:14.7209888Z  * [new branch]              gh/wconstab/433/head        -> origin/gh/wconstab/433/head
2025-08-26T20:08:14.7210549Z  * [new branch]              gh/wconstab/433/orig        -> origin/gh/wconstab/433/orig
2025-08-26T20:08:14.7211297Z  * [new branch]              gh/wconstab/434/base        -> origin/gh/wconstab/434/base
2025-08-26T20:08:14.7212192Z  * [new branch]              gh/wconstab/434/head        -> origin/gh/wconstab/434/head
2025-08-26T20:08:14.7212742Z  * [new branch]              gh/wconstab/434/orig        -> origin/gh/wconstab/434/orig
2025-08-26T20:08:14.7213500Z  * [new branch]              gh/wconstab/435/base        -> origin/gh/wconstab/435/base
2025-08-26T20:08:14.7214098Z  * [new branch]              gh/wconstab/435/head        -> origin/gh/wconstab/435/head
2025-08-26T20:08:14.7214512Z  * [new branch]              gh/wconstab/435/orig        -> origin/gh/wconstab/435/orig
2025-08-26T20:08:14.7215355Z  * [new branch]              gh/wconstab/436/base        -> origin/gh/wconstab/436/base
2025-08-26T20:08:14.7215966Z  * [new branch]              gh/wconstab/436/head        -> origin/gh/wconstab/436/head
2025-08-26T20:08:14.7216391Z  * [new branch]              gh/wconstab/436/orig        -> origin/gh/wconstab/436/orig
2025-08-26T20:08:14.7217221Z  * [new branch]              gh/wconstab/437/base        -> origin/gh/wconstab/437/base
2025-08-26T20:08:14.7217661Z  * [new branch]              gh/wconstab/437/head        -> origin/gh/wconstab/437/head
2025-08-26T20:08:14.7218257Z  * [new branch]              gh/wconstab/437/orig        -> origin/gh/wconstab/437/orig
2025-08-26T20:08:14.7218949Z  * [new branch]              gh/wconstab/438/base        -> origin/gh/wconstab/438/base
2025-08-26T20:08:14.7219549Z  * [new branch]              gh/wconstab/438/head        -> origin/gh/wconstab/438/head
2025-08-26T20:08:14.7219925Z  * [new branch]              gh/wconstab/438/orig        -> origin/gh/wconstab/438/orig
2025-08-26T20:08:14.7220755Z  * [new branch]              gh/wconstab/439/base        -> origin/gh/wconstab/439/base
2025-08-26T20:08:14.7221366Z  * [new branch]              gh/wconstab/439/head        -> origin/gh/wconstab/439/head
2025-08-26T20:08:14.7221914Z  * [new branch]              gh/wconstab/439/orig        -> origin/gh/wconstab/439/orig
2025-08-26T20:08:14.7222651Z  * [new branch]              gh/wconstab/440/base        -> origin/gh/wconstab/440/base
2025-08-26T20:08:14.7223276Z  * [new branch]              gh/wconstab/440/head        -> origin/gh/wconstab/440/head
2025-08-26T20:08:14.7223908Z  * [new branch]              gh/wconstab/440/orig        -> origin/gh/wconstab/440/orig
2025-08-26T20:08:14.7224667Z  * [new branch]              gh/wconstab/441/base        -> origin/gh/wconstab/441/base
2025-08-26T20:08:14.7225281Z  * [new branch]              gh/wconstab/441/head        -> origin/gh/wconstab/441/head
2025-08-26T20:08:14.7225833Z  * [new branch]              gh/wconstab/441/orig        -> origin/gh/wconstab/441/orig
2025-08-26T20:08:14.7226769Z  * [new branch]              gh/wconstab/442/base        -> origin/gh/wconstab/442/base
2025-08-26T20:08:14.7227390Z  * [new branch]              gh/wconstab/442/head        -> origin/gh/wconstab/442/head
2025-08-26T20:08:14.7227947Z  * [new branch]              gh/wconstab/442/orig        -> origin/gh/wconstab/442/orig
2025-08-26T20:08:14.7229020Z  * [new branch]              gh/wconstab/443/base        -> origin/gh/wconstab/443/base
2025-08-26T20:08:14.7229568Z  * [new branch]              gh/wconstab/443/head        -> origin/gh/wconstab/443/head
2025-08-26T20:08:14.7230216Z  * [new branch]              gh/wconstab/443/orig        -> origin/gh/wconstab/443/orig
2025-08-26T20:08:14.7230963Z  * [new branch]              gh/wconstab/444/base        -> origin/gh/wconstab/444/base
2025-08-26T20:08:14.7231525Z  * [new branch]              gh/wconstab/444/head        -> origin/gh/wconstab/444/head
2025-08-26T20:08:14.7232068Z  * [new branch]              gh/wconstab/444/orig        -> origin/gh/wconstab/444/orig
2025-08-26T20:08:14.7233033Z  * [new branch]              gh/wconstab/445/base        -> origin/gh/wconstab/445/base
2025-08-26T20:08:14.7233650Z  * [new branch]              gh/wconstab/445/head        -> origin/gh/wconstab/445/head
2025-08-26T20:08:14.7234085Z  * [new branch]              gh/wconstab/445/orig        -> origin/gh/wconstab/445/orig
2025-08-26T20:08:14.7235222Z  * [new branch]              gh/weifengpy/27/base        -> origin/gh/weifengpy/27/base
2025-08-26T20:08:14.7235645Z  * [new branch]              gh/weifengpy/27/head        -> origin/gh/weifengpy/27/head
2025-08-26T20:08:14.7236250Z  * [new branch]              gh/weifengpy/27/orig        -> origin/gh/weifengpy/27/orig
2025-08-26T20:08:14.7237001Z  * [new branch]              gh/weifengpy/30/base        -> origin/gh/weifengpy/30/base
2025-08-26T20:08:14.7237446Z  * [new branch]              gh/weifengpy/30/head        -> origin/gh/weifengpy/30/head
2025-08-26T20:08:14.7238064Z  * [new branch]              gh/weifengpy/30/orig        -> origin/gh/weifengpy/30/orig
2025-08-26T20:08:14.7238750Z  * [new branch]              gh/weifengpy/33/base        -> origin/gh/weifengpy/33/base
2025-08-26T20:08:14.7239193Z  * [new branch]              gh/weifengpy/33/head        -> origin/gh/weifengpy/33/head
2025-08-26T20:08:14.7239909Z  * [new branch]              gh/weifengpy/33/orig        -> origin/gh/weifengpy/33/orig
2025-08-26T20:08:14.7241010Z  * [new branch]              gh/williamwen42/196/base    -> origin/gh/williamwen42/196/base
2025-08-26T20:08:14.7241981Z  * [new branch]              gh/williamwen42/196/head    -> origin/gh/williamwen42/196/head
2025-08-26T20:08:14.7242916Z  * [new branch]              gh/williamwen42/196/orig    -> origin/gh/williamwen42/196/orig
2025-08-26T20:08:14.7243743Z  * [new branch]              gh/williamwen42/250/base    -> origin/gh/williamwen42/250/base
2025-08-26T20:08:14.7244170Z  * [new branch]              gh/williamwen42/250/head    -> origin/gh/williamwen42/250/head
2025-08-26T20:08:14.7244781Z  * [new branch]              gh/williamwen42/250/orig    -> origin/gh/williamwen42/250/orig
2025-08-26T20:08:14.7245803Z  * [new branch]              gh/williamwen42/258/base    -> origin/gh/williamwen42/258/base
2025-08-26T20:08:14.7246437Z  * [new branch]              gh/williamwen42/258/head    -> origin/gh/williamwen42/258/head
2025-08-26T20:08:14.7246861Z  * [new branch]              gh/williamwen42/258/orig    -> origin/gh/williamwen42/258/orig
2025-08-26T20:08:14.7247687Z  * [new branch]              gh/williamwen42/260/base    -> origin/gh/williamwen42/260/base
2025-08-26T20:08:14.7248253Z  * [new branch]              gh/williamwen42/260/head    -> origin/gh/williamwen42/260/head
2025-08-26T20:08:14.7248696Z  * [new branch]              gh/williamwen42/260/orig    -> origin/gh/williamwen42/260/orig
2025-08-26T20:08:14.7249488Z  * [new branch]              gh/williamwen42/261/base    -> origin/gh/williamwen42/261/base
2025-08-26T20:08:14.7250068Z  * [new branch]              gh/williamwen42/261/head    -> origin/gh/williamwen42/261/head
2025-08-26T20:08:14.7250790Z  * [new branch]              gh/williamwen42/261/orig    -> origin/gh/williamwen42/261/orig
2025-08-26T20:08:14.7251524Z  * [new branch]              gh/williamwen42/263/base    -> origin/gh/williamwen42/263/base
2025-08-26T20:08:14.7251975Z  * [new branch]              gh/williamwen42/263/head    -> origin/gh/williamwen42/263/head
2025-08-26T20:08:14.7252557Z  * [new branch]              gh/williamwen42/263/orig    -> origin/gh/williamwen42/263/orig
2025-08-26T20:08:14.7253321Z  * [new branch]              gh/williamwen42/264/base    -> origin/gh/williamwen42/264/base
2025-08-26T20:08:14.7253885Z  * [new branch]              gh/williamwen42/264/head    -> origin/gh/williamwen42/264/head
2025-08-26T20:08:14.7254325Z  * [new branch]              gh/williamwen42/264/orig    -> origin/gh/williamwen42/264/orig
2025-08-26T20:08:14.7255160Z  * [new branch]              gh/williamwen42/265/base    -> origin/gh/williamwen42/265/base
2025-08-26T20:08:14.7255661Z  * [new branch]              gh/williamwen42/265/head    -> origin/gh/williamwen42/265/head
2025-08-26T20:08:14.7256225Z  * [new branch]              gh/williamwen42/265/orig    -> origin/gh/williamwen42/265/orig
2025-08-26T20:08:14.7256980Z  * [new branch]              gh/williamwen42/266/base    -> origin/gh/williamwen42/266/base
2025-08-26T20:08:14.7257431Z  * [new branch]              gh/williamwen42/266/head    -> origin/gh/williamwen42/266/head
2025-08-26T20:08:14.7258102Z  * [new branch]              gh/williamwen42/266/orig    -> origin/gh/williamwen42/266/orig
2025-08-26T20:08:14.7258870Z  * [new branch]              gh/williamwen42/267/base    -> origin/gh/williamwen42/267/base
2025-08-26T20:08:14.7259489Z  * [new branch]              gh/williamwen42/267/head    -> origin/gh/williamwen42/267/head
2025-08-26T20:08:14.7260144Z  * [new branch]              gh/williamwen42/267/orig    -> origin/gh/williamwen42/267/orig
2025-08-26T20:08:14.7260876Z  * [new branch]              gh/williamwen42/268/base    -> origin/gh/williamwen42/268/base
2025-08-26T20:08:14.7261310Z  * [new branch]              gh/williamwen42/268/head    -> origin/gh/williamwen42/268/head
2025-08-26T20:08:14.7261921Z  * [new branch]              gh/williamwen42/268/orig    -> origin/gh/williamwen42/268/orig
2025-08-26T20:08:14.7262528Z  * [new branch]              gh/williamwen42/269/base    -> origin/gh/williamwen42/269/base
2025-08-26T20:08:14.7262985Z  * [new branch]              gh/williamwen42/269/head    -> origin/gh/williamwen42/269/head
2025-08-26T20:08:14.7263549Z  * [new branch]              gh/williamwen42/269/orig    -> origin/gh/williamwen42/269/orig
2025-08-26T20:08:14.7264620Z  * [new branch]              gh/williamwen42/270/base    -> origin/gh/williamwen42/270/base
2025-08-26T20:08:14.7265221Z  * [new branch]              gh/williamwen42/270/head    -> origin/gh/williamwen42/270/head
2025-08-26T20:08:14.7265817Z  * [new branch]              gh/williamwen42/270/orig    -> origin/gh/williamwen42/270/orig
2025-08-26T20:08:14.7266518Z  * [new branch]              gh/williamwen42/271/base    -> origin/gh/williamwen42/271/base
2025-08-26T20:08:14.7266974Z  * [new branch]              gh/williamwen42/271/head    -> origin/gh/williamwen42/271/head
2025-08-26T20:08:14.7267624Z  * [new branch]              gh/williamwen42/271/orig    -> origin/gh/williamwen42/271/orig
2025-08-26T20:08:14.7268311Z  * [new branch]              gh/williamwen42/272/base    -> origin/gh/williamwen42/272/base
2025-08-26T20:08:14.7268885Z  * [new branch]              gh/williamwen42/272/head    -> origin/gh/williamwen42/272/head
2025-08-26T20:08:14.7269525Z  * [new branch]              gh/williamwen42/272/orig    -> origin/gh/williamwen42/272/orig
2025-08-26T20:08:14.7270316Z  * [new branch]              gh/williamwen42/273/base    -> origin/gh/williamwen42/273/base
2025-08-26T20:08:14.7270875Z  * [new branch]              gh/williamwen42/273/head    -> origin/gh/williamwen42/273/head
2025-08-26T20:08:14.7271452Z  * [new branch]              gh/williamwen42/273/orig    -> origin/gh/williamwen42/273/orig
2025-08-26T20:08:14.7272396Z  * [new branch]              gh/williamwen42/274/base    -> origin/gh/williamwen42/274/base
2025-08-26T20:08:14.7272814Z  * [new branch]              gh/williamwen42/274/head    -> origin/gh/williamwen42/274/head
2025-08-26T20:08:14.7273439Z  * [new branch]              gh/williamwen42/274/orig    -> origin/gh/williamwen42/274/orig
2025-08-26T20:08:14.7274208Z  * [new branch]              gh/williamwen42/275/base    -> origin/gh/williamwen42/275/base
2025-08-26T20:08:14.7274769Z  * [new branch]              gh/williamwen42/275/head    -> origin/gh/williamwen42/275/head
2025-08-26T20:08:14.7275420Z  * [new branch]              gh/williamwen42/276/base    -> origin/gh/williamwen42/276/base
2025-08-26T20:08:14.7275850Z  * [new branch]              gh/williamwen42/276/head    -> origin/gh/williamwen42/276/head
2025-08-26T20:08:14.7276403Z  * [new branch]              gh/williamwen42/276/orig    -> origin/gh/williamwen42/276/orig
2025-08-26T20:08:14.7277313Z  * [new branch]              gh/williamwen42/277/base    -> origin/gh/williamwen42/277/base
2025-08-26T20:08:14.7277723Z  * [new branch]              gh/williamwen42/277/head    -> origin/gh/williamwen42/277/head
2025-08-26T20:08:14.7278451Z  * [new branch]              gh/williamwen42/277/orig    -> origin/gh/williamwen42/277/orig
2025-08-26T20:08:14.7279211Z  * [new branch]              gh/williamwen42/278/base    -> origin/gh/williamwen42/278/base
2025-08-26T20:08:14.7279787Z  * [new branch]              gh/williamwen42/278/head    -> origin/gh/williamwen42/278/head
2025-08-26T20:08:14.7280203Z  * [new branch]              gh/williamwen42/278/orig    -> origin/gh/williamwen42/278/orig
2025-08-26T20:08:14.7281134Z  * [new branch]              gh/williamwen42/279/base    -> origin/gh/williamwen42/279/base
2025-08-26T20:08:14.7281948Z  * [new branch]              gh/williamwen42/279/head    -> origin/gh/williamwen42/279/head
2025-08-26T20:08:14.7282390Z  * [new branch]              gh/williamwen42/279/orig    -> origin/gh/williamwen42/279/orig
2025-08-26T20:08:14.7283410Z  * [new branch]              gh/xmfan/169/base           -> origin/gh/xmfan/169/base
2025-08-26T20:08:14.7283958Z  * [new branch]              gh/xmfan/169/head           -> origin/gh/xmfan/169/head
2025-08-26T20:08:14.7284691Z  * [new branch]              gh/xmfan/170/base           -> origin/gh/xmfan/170/base
2025-08-26T20:08:14.7285041Z  * [new branch]              gh/xmfan/170/head           -> origin/gh/xmfan/170/head
2025-08-26T20:08:14.7285948Z  * [new branch]              gh/xmfan/18/base            -> origin/gh/xmfan/18/base
2025-08-26T20:08:14.7286365Z  * [new branch]              gh/xmfan/18/head            -> origin/gh/xmfan/18/head
2025-08-26T20:08:14.7287275Z  * [new branch]              gh/xmfan/229/base           -> origin/gh/xmfan/229/base
2025-08-26T20:08:14.7287813Z  * [new branch]              gh/xmfan/229/head           -> origin/gh/xmfan/229/head
2025-08-26T20:08:14.7288424Z  * [new branch]              gh/xmfan/229/orig           -> origin/gh/xmfan/229/orig
2025-08-26T20:08:14.7289173Z  * [new branch]              gh/xmfan/237/base           -> origin/gh/xmfan/237/base
2025-08-26T20:08:14.7289717Z  * [new branch]              gh/xmfan/237/head           -> origin/gh/xmfan/237/head
2025-08-26T20:08:14.7290267Z  * [new branch]              gh/xmfan/237/orig           -> origin/gh/xmfan/237/orig
2025-08-26T20:08:14.7290955Z  * [new branch]              gh/xmfan/244/base           -> origin/gh/xmfan/244/base
2025-08-26T20:08:14.7291397Z  * [new branch]              gh/xmfan/244/head           -> origin/gh/xmfan/244/head
2025-08-26T20:08:14.7291987Z  * [new branch]              gh/xmfan/244/orig           -> origin/gh/xmfan/244/orig
2025-08-26T20:08:14.7292719Z  * [new branch]              gh/xmfan/246/base           -> origin/gh/xmfan/246/base
2025-08-26T20:08:14.7293139Z  * [new branch]              gh/xmfan/246/head           -> origin/gh/xmfan/246/head
2025-08-26T20:08:14.7293739Z  * [new branch]              gh/xmfan/246/orig           -> origin/gh/xmfan/246/orig
2025-08-26T20:08:14.7294698Z  * [new branch]              gh/xmfan/253/base           -> origin/gh/xmfan/253/base
2025-08-26T20:08:14.7295301Z  * [new branch]              gh/xmfan/253/head           -> origin/gh/xmfan/253/head
2025-08-26T20:08:14.7295739Z  * [new branch]              gh/xmfan/253/orig           -> origin/gh/xmfan/253/orig
2025-08-26T20:08:14.7296508Z  * [new branch]              gh/xmfan/254/base           -> origin/gh/xmfan/254/base
2025-08-26T20:08:14.7296954Z  * [new branch]              gh/xmfan/254/head           -> origin/gh/xmfan/254/head
2025-08-26T20:08:14.7297645Z  * [new branch]              gh/xmfan/254/orig           -> origin/gh/xmfan/254/orig
2025-08-26T20:08:14.7298805Z  * [new branch]              gh/xmfan/260/base           -> origin/gh/xmfan/260/base
2025-08-26T20:08:14.7299221Z  * [new branch]              gh/xmfan/260/head           -> origin/gh/xmfan/260/head
2025-08-26T20:08:14.7299833Z  * [new branch]              gh/xmfan/260/orig           -> origin/gh/xmfan/260/orig
2025-08-26T20:08:14.7300529Z  * [new branch]              gh/xmfan/262/base           -> origin/gh/xmfan/262/base
2025-08-26T20:08:14.7300968Z  * [new branch]              gh/xmfan/262/head           -> origin/gh/xmfan/262/head
2025-08-26T20:08:14.7301554Z  * [new branch]              gh/xmfan/262/orig           -> origin/gh/xmfan/262/orig
2025-08-26T20:08:14.7302595Z  * [new branch]              gh/xmfan/263/base           -> origin/gh/xmfan/263/base
2025-08-26T20:08:14.7303193Z  * [new branch]              gh/xmfan/263/head           -> origin/gh/xmfan/263/head
2025-08-26T20:08:14.7303745Z  * [new branch]              gh/xmfan/263/orig           -> origin/gh/xmfan/263/orig
2025-08-26T20:08:14.7304416Z  * [new branch]              gh/xmfan/264/base           -> origin/gh/xmfan/264/base
2025-08-26T20:08:14.7304839Z  * [new branch]              gh/xmfan/264/head           -> origin/gh/xmfan/264/head
2025-08-26T20:08:14.7305442Z  * [new branch]              gh/xmfan/264/orig           -> origin/gh/xmfan/264/orig
2025-08-26T20:08:14.7306157Z  * [new branch]              gh/xmfan/270/base           -> origin/gh/xmfan/270/base
2025-08-26T20:08:14.7306708Z  * [new branch]              gh/xmfan/270/head           -> origin/gh/xmfan/270/head
2025-08-26T20:08:14.7307263Z  * [new branch]              gh/xmfan/270/orig           -> origin/gh/xmfan/270/orig
2025-08-26T20:08:14.7308074Z  * [new branch]              gh/xmfan/271/base           -> origin/gh/xmfan/271/base
2025-08-26T20:08:14.7308495Z  * [new branch]              gh/xmfan/271/head           -> origin/gh/xmfan/271/head
2025-08-26T20:08:14.7309071Z  * [new branch]              gh/xmfan/271/orig           -> origin/gh/xmfan/271/orig
2025-08-26T20:08:14.7309828Z  * [new branch]              gh/xmfan/272/base           -> origin/gh/xmfan/272/base
2025-08-26T20:08:14.7310372Z  * [new branch]              gh/xmfan/272/head           -> origin/gh/xmfan/272/head
2025-08-26T20:08:14.7310914Z  * [new branch]              gh/xmfan/272/orig           -> origin/gh/xmfan/272/orig
2025-08-26T20:08:14.7311603Z  * [new branch]              gh/xmfan/273/base           -> origin/gh/xmfan/273/base
2025-08-26T20:08:14.7312176Z  * [new branch]              gh/xmfan/273/head           -> origin/gh/xmfan/273/head
2025-08-26T20:08:14.7312544Z  * [new branch]              gh/xmfan/273/orig           -> origin/gh/xmfan/273/orig
2025-08-26T20:08:14.7313968Z  * [new branch]              gh/xmfan/274/base           -> origin/gh/xmfan/274/base
2025-08-26T20:08:14.7314384Z  * [new branch]              gh/xmfan/274/head           -> origin/gh/xmfan/274/head
2025-08-26T20:08:14.7314987Z  * [new branch]              gh/xmfan/274/orig           -> origin/gh/xmfan/274/orig
2025-08-26T20:08:14.7315713Z  * [new branch]              gh/xmfan/275/base           -> origin/gh/xmfan/275/base
2025-08-26T20:08:14.7316199Z  * [new branch]              gh/xmfan/275/head           -> origin/gh/xmfan/275/head
2025-08-26T20:08:14.7316843Z  * [new branch]              gh/xmfan/275/orig           -> origin/gh/xmfan/275/orig
2025-08-26T20:08:14.7317596Z  * [new branch]              gh/xmfan/276/base           -> origin/gh/xmfan/276/base
2025-08-26T20:08:14.7318192Z  * [new branch]              gh/xmfan/276/head           -> origin/gh/xmfan/276/head
2025-08-26T20:08:14.7319342Z  * [new branch]              gh/xmfan/276/orig           -> origin/gh/xmfan/276/orig
2025-08-26T20:08:14.7319469Z  * [new branch]              gh/xmfan/277/base           -> origin/gh/xmfan/277/base
2025-08-26T20:08:14.7319835Z  * [new branch]              gh/xmfan/277/head           -> origin/gh/xmfan/277/head
2025-08-26T20:08:14.7322045Z  * [new branch]              gh/xmfan/277/orig           -> origin/gh/xmfan/277/orig
2025-08-26T20:08:14.7322226Z  * [new branch]              gh/xmfan/278/base           -> origin/gh/xmfan/278/base
2025-08-26T20:08:14.7322362Z  * [new branch]              gh/xmfan/278/head           -> origin/gh/xmfan/278/head
2025-08-26T20:08:14.7322500Z  * [new branch]              gh/xmfan/278/orig           -> origin/gh/xmfan/278/orig
2025-08-26T20:08:14.7322848Z  * [new branch]              gh/xmfan/279/base           -> origin/gh/xmfan/279/base
2025-08-26T20:08:14.7323316Z  * [new branch]              gh/xmfan/279/head           -> origin/gh/xmfan/279/head
2025-08-26T20:08:14.7323939Z  * [new branch]              gh/xmfan/279/orig           -> origin/gh/xmfan/279/orig
2025-08-26T20:08:14.7324678Z  * [new branch]              gh/xmfan/280/base           -> origin/gh/xmfan/280/base
2025-08-26T20:08:14.7325450Z  * [new branch]              gh/xmfan/280/head           -> origin/gh/xmfan/280/head
2025-08-26T20:08:14.7325974Z  * [new branch]              gh/xmfan/280/orig           -> origin/gh/xmfan/280/orig
2025-08-26T20:08:14.7326720Z  * [new branch]              gh/xmfan/281/base           -> origin/gh/xmfan/281/base
2025-08-26T20:08:14.7327270Z  * [new branch]              gh/xmfan/281/head           -> origin/gh/xmfan/281/head
2025-08-26T20:08:14.7327805Z  * [new branch]              gh/xmfan/281/orig           -> origin/gh/xmfan/281/orig
2025-08-26T20:08:14.7328557Z  * [new branch]              gh/xmfan/282/base           -> origin/gh/xmfan/282/base
2025-08-26T20:08:14.7328984Z  * [new branch]              gh/xmfan/282/head           -> origin/gh/xmfan/282/head
2025-08-26T20:08:14.7329785Z  * [new branch]              gh/xmfan/283/base           -> origin/gh/xmfan/283/base
2025-08-26T20:08:14.7330221Z  * [new branch]              gh/xmfan/283/head           -> origin/gh/xmfan/283/head
2025-08-26T20:08:14.7330802Z  * [new branch]              gh/xmfan/283/orig           -> origin/gh/xmfan/283/orig
2025-08-26T20:08:14.7331774Z  * [new branch]              gh/xuanzhang816/14/base     -> origin/gh/xuanzhang816/14/base
2025-08-26T20:08:14.7332476Z  * [new branch]              gh/xuanzhang816/14/head     -> origin/gh/xuanzhang816/14/head
2025-08-26T20:08:14.7332845Z  * [new branch]              gh/xuanzhang816/14/orig     -> origin/gh/xuanzhang816/14/orig
2025-08-26T20:08:14.7333747Z  * [new branch]              gh/xuanzhang816/19/base     -> origin/gh/xuanzhang816/19/base
2025-08-26T20:08:14.7334171Z  * [new branch]              gh/xuanzhang816/19/head     -> origin/gh/xuanzhang816/19/head
2025-08-26T20:08:14.7334848Z  * [new branch]              gh/xuanzhang816/19/orig     -> origin/gh/xuanzhang816/19/orig
2025-08-26T20:08:14.7335640Z  * [new branch]              gh/xuanzhang816/22/base     -> origin/gh/xuanzhang816/22/base
2025-08-26T20:08:14.7336058Z  * [new branch]              gh/xuanzhang816/22/head     -> origin/gh/xuanzhang816/22/head
2025-08-26T20:08:14.7336671Z  * [new branch]              gh/xuanzhang816/22/orig     -> origin/gh/xuanzhang816/22/orig
2025-08-26T20:08:14.7337361Z  * [new branch]              gh/xuanzhang816/23/base     -> origin/gh/xuanzhang816/23/base
2025-08-26T20:08:14.7337806Z  * [new branch]              gh/xuanzhang816/23/head     -> origin/gh/xuanzhang816/23/head
2025-08-26T20:08:14.7338415Z  * [new branch]              gh/xuanzhang816/23/orig     -> origin/gh/xuanzhang816/23/orig
2025-08-26T20:08:14.7339086Z  * [new branch]              gh/xuanzhang816/24/base     -> origin/gh/xuanzhang816/24/base
2025-08-26T20:08:14.7339991Z  * [new branch]              gh/xuanzhang816/24/head     -> origin/gh/xuanzhang816/24/head
2025-08-26T20:08:14.7340562Z  * [new branch]              gh/xuanzhang816/24/orig     -> origin/gh/xuanzhang816/24/orig
2025-08-26T20:08:14.7341458Z  * [new branch]              gh/yanbing-j/11/base        -> origin/gh/yanbing-j/11/base
2025-08-26T20:08:14.7342060Z  * [new branch]              gh/yanbing-j/11/head        -> origin/gh/yanbing-j/11/head
2025-08-26T20:08:14.7342566Z  * [new branch]              gh/yanbing-j/11/orig        -> origin/gh/yanbing-j/11/orig
2025-08-26T20:08:14.7343315Z  * [new branch]              gh/yanbing-j/12/base        -> origin/gh/yanbing-j/12/base
2025-08-26T20:08:14.7343869Z  * [new branch]              gh/yanbing-j/12/head        -> origin/gh/yanbing-j/12/head
2025-08-26T20:08:14.7344784Z  * [new branch]              gh/yanbing-j/12/orig        -> origin/gh/yanbing-j/12/orig
2025-08-26T20:08:14.7345538Z  * [new branch]              gh/yanbing-j/13/base        -> origin/gh/yanbing-j/13/base
2025-08-26T20:08:14.7346004Z  * [new branch]              gh/yanbing-j/13/head        -> origin/gh/yanbing-j/13/head
2025-08-26T20:08:14.7346602Z  * [new branch]              gh/yanbing-j/13/orig        -> origin/gh/yanbing-j/13/orig
2025-08-26T20:08:14.7347373Z  * [new branch]              gh/yanbing-j/14/base        -> origin/gh/yanbing-j/14/base
2025-08-26T20:08:14.7347937Z  * [new branch]              gh/yanbing-j/14/head        -> origin/gh/yanbing-j/14/head
2025-08-26T20:08:14.7348336Z  * [new branch]              gh/yanbing-j/14/orig        -> origin/gh/yanbing-j/14/orig
2025-08-26T20:08:14.7349139Z  * [new branch]              gh/yanbing-j/15/base        -> origin/gh/yanbing-j/15/base
2025-08-26T20:08:14.7349556Z  * [new branch]              gh/yanbing-j/15/head        -> origin/gh/yanbing-j/15/head
2025-08-26T20:08:14.7350146Z  * [new branch]              gh/yanbing-j/15/orig        -> origin/gh/yanbing-j/15/orig
2025-08-26T20:08:14.7350832Z  * [new branch]              gh/yanbing-j/18/base        -> origin/gh/yanbing-j/18/base
2025-08-26T20:08:14.7351271Z  * [new branch]              gh/yanbing-j/18/head        -> origin/gh/yanbing-j/18/head
2025-08-26T20:08:14.7351932Z  * [new branch]              gh/yanbing-j/18/orig        -> origin/gh/yanbing-j/18/orig
2025-08-26T20:08:14.7352554Z  * [new branch]              gh/yanbing-j/19/base        -> origin/gh/yanbing-j/19/base
2025-08-26T20:08:14.7353029Z  * [new branch]              gh/yanbing-j/19/head        -> origin/gh/yanbing-j/19/head
2025-08-26T20:08:14.7353718Z  * [new branch]              gh/yanbing-j/19/orig        -> origin/gh/yanbing-j/19/orig
2025-08-26T20:08:14.7354544Z  * [new branch]              gh/yanbing-j/20/base        -> origin/gh/yanbing-j/20/base
2025-08-26T20:08:14.7354962Z  * [new branch]              gh/yanbing-j/20/head        -> origin/gh/yanbing-j/20/head
2025-08-26T20:08:14.7355553Z  * [new branch]              gh/yanbing-j/20/orig        -> origin/gh/yanbing-j/20/orig
2025-08-26T20:08:14.7356363Z  * [new branch]              gh/yanbing-j/21/base        -> origin/gh/yanbing-j/21/base
2025-08-26T20:08:14.7356731Z  * [new branch]              gh/yanbing-j/21/head        -> origin/gh/yanbing-j/21/head
2025-08-26T20:08:14.7357515Z  * [new branch]              gh/yanbing-j/22/base        -> origin/gh/yanbing-j/22/base
2025-08-26T20:08:14.7357946Z  * [new branch]              gh/yanbing-j/22/head        -> origin/gh/yanbing-j/22/head
2025-08-26T20:08:14.7358539Z  * [new branch]              gh/yanbing-j/22/orig        -> origin/gh/yanbing-j/22/orig
2025-08-26T20:08:14.7359258Z  * [new branch]              gh/yanbing-j/23/base        -> origin/gh/yanbing-j/23/base
2025-08-26T20:08:14.7359805Z  * [new branch]              gh/yanbing-j/23/head        -> origin/gh/yanbing-j/23/head
2025-08-26T20:08:14.7360226Z  * [new branch]              gh/yanbing-j/23/orig        -> origin/gh/yanbing-j/23/orig
2025-08-26T20:08:14.7360985Z  * [new branch]              gh/yanbing-j/24/base        -> origin/gh/yanbing-j/24/base
2025-08-26T20:08:14.7361607Z  * [new branch]              gh/yanbing-j/24/head        -> origin/gh/yanbing-j/24/head
2025-08-26T20:08:14.7362153Z  * [new branch]              gh/yanbing-j/24/orig        -> origin/gh/yanbing-j/24/orig
2025-08-26T20:08:14.7363016Z  * [new branch]              gh/yanbing-j/25/base        -> origin/gh/yanbing-j/25/base
2025-08-26T20:08:14.7363446Z  * [new branch]              gh/yanbing-j/25/head        -> origin/gh/yanbing-j/25/head
2025-08-26T20:08:14.7364047Z  * [new branch]              gh/yanbing-j/25/orig        -> origin/gh/yanbing-j/25/orig
2025-08-26T20:08:14.7364737Z  * [new branch]              gh/yanbing-j/26/base        -> origin/gh/yanbing-j/26/base
2025-08-26T20:08:14.7365529Z  * [new branch]              gh/yanbing-j/26/head        -> origin/gh/yanbing-j/26/head
2025-08-26T20:08:14.7365959Z  * [new branch]              gh/yanbing-j/26/orig        -> origin/gh/yanbing-j/26/orig
2025-08-26T20:08:14.7366812Z  * [new branch]              gh/yanbing-j/36/base        -> origin/gh/yanbing-j/36/base
2025-08-26T20:08:14.7367294Z  * [new branch]              gh/yanbing-j/36/head        -> origin/gh/yanbing-j/36/head
2025-08-26T20:08:14.7367884Z  * [new branch]              gh/yanbing-j/36/orig        -> origin/gh/yanbing-j/36/orig
2025-08-26T20:08:14.7368615Z  * [new branch]              gh/yanbing-j/37/base        -> origin/gh/yanbing-j/37/base
2025-08-26T20:08:14.7371954Z  * [new branch]              gh/yanbing-j/37/head        -> origin/gh/yanbing-j/37/head
2025-08-26T20:08:14.7372560Z  * [new branch]              gh/yanbing-j/37/orig        -> origin/gh/yanbing-j/37/orig
2025-08-26T20:08:14.7373665Z  * [new branch]              gh/yangw-dev/1/base         -> origin/gh/yangw-dev/1/base
2025-08-26T20:08:14.7374368Z  * [new branch]              gh/yangw-dev/10/base        -> origin/gh/yangw-dev/10/base
2025-08-26T20:08:14.7375021Z  * [new branch]              gh/yangw-dev/10/head        -> origin/gh/yangw-dev/10/head
2025-08-26T20:08:14.7375574Z  * [new branch]              gh/yangw-dev/10/orig        -> origin/gh/yangw-dev/10/orig
2025-08-26T20:08:14.7376222Z  * [new branch]              gh/yangw-dev/11/base        -> origin/gh/yangw-dev/11/base
2025-08-26T20:08:14.7376774Z  * [new branch]              gh/yangw-dev/11/head        -> origin/gh/yangw-dev/11/head
2025-08-26T20:08:14.7377207Z  * [new branch]              gh/yangw-dev/11/orig        -> origin/gh/yangw-dev/11/orig
2025-08-26T20:08:14.7378006Z  * [new branch]              gh/yangw-dev/12/base        -> origin/gh/yangw-dev/12/base
2025-08-26T20:08:14.7378582Z  * [new branch]              gh/yangw-dev/12/head        -> origin/gh/yangw-dev/12/head
2025-08-26T20:08:14.7379179Z  * [new branch]              gh/yangw-dev/12/orig        -> origin/gh/yangw-dev/12/orig
2025-08-26T20:08:14.7379892Z  * [new branch]              gh/yangw-dev/13/base        -> origin/gh/yangw-dev/13/base
2025-08-26T20:08:14.7380440Z  * [new branch]              gh/yangw-dev/13/head        -> origin/gh/yangw-dev/13/head
2025-08-26T20:08:14.7380877Z  * [new branch]              gh/yangw-dev/13/orig        -> origin/gh/yangw-dev/13/orig
2025-08-26T20:08:14.7381693Z  * [new branch]              gh/yangw-dev/14/base        -> origin/gh/yangw-dev/14/base
2025-08-26T20:08:14.7382360Z  * [new branch]              gh/yangw-dev/14/head        -> origin/gh/yangw-dev/14/head
2025-08-26T20:08:14.7382694Z  * [new branch]              gh/yangw-dev/14/orig        -> origin/gh/yangw-dev/14/orig
2025-08-26T20:08:14.7383880Z  * [new branch]              gh/yangw-dev/15/base        -> origin/gh/yangw-dev/15/base
2025-08-26T20:08:14.7384522Z  * [new branch]              gh/yangw-dev/15/head        -> origin/gh/yangw-dev/15/head
2025-08-26T20:08:14.7384975Z  * [new branch]              gh/yangw-dev/15/orig        -> origin/gh/yangw-dev/15/orig
2025-08-26T20:08:14.7385796Z  * [new branch]              gh/yangw-dev/16/base        -> origin/gh/yangw-dev/16/base
2025-08-26T20:08:14.7386165Z  * [new branch]              gh/yangw-dev/16/head        -> origin/gh/yangw-dev/16/head
2025-08-26T20:08:14.7386816Z  * [new branch]              gh/yangw-dev/16/orig        -> origin/gh/yangw-dev/16/orig
2025-08-26T20:08:14.7387549Z  * [new branch]              gh/yangw-dev/17/base        -> origin/gh/yangw-dev/17/base
2025-08-26T20:08:14.7388119Z  * [new branch]              gh/yangw-dev/17/head        -> origin/gh/yangw-dev/17/head
2025-08-26T20:08:14.7388845Z  * [new branch]              gh/yangw-dev/17/orig        -> origin/gh/yangw-dev/17/orig
2025-08-26T20:08:14.7389578Z  * [new branch]              gh/yangw-dev/18/base        -> origin/gh/yangw-dev/18/base
2025-08-26T20:08:14.7390008Z  * [new branch]              gh/yangw-dev/18/head        -> origin/gh/yangw-dev/18/head
2025-08-26T20:08:14.7390608Z  * [new branch]              gh/yangw-dev/18/orig        -> origin/gh/yangw-dev/18/orig
2025-08-26T20:08:14.7391254Z  * [new branch]              gh/yangw-dev/19/base        -> origin/gh/yangw-dev/19/base
2025-08-26T20:08:14.7391794Z  * [new branch]              gh/yangw-dev/19/head        -> origin/gh/yangw-dev/19/head
2025-08-26T20:08:14.7392250Z  * [new branch]              gh/yangw-dev/19/orig        -> origin/gh/yangw-dev/19/orig
2025-08-26T20:08:14.7393018Z  * [new branch]              gh/yangw-dev/2/base         -> origin/gh/yangw-dev/2/base
2025-08-26T20:08:14.7393642Z  * [new branch]              gh/yangw-dev/2/head         -> origin/gh/yangw-dev/2/head
2025-08-26T20:08:14.7394438Z  * [new branch]              gh/yangw-dev/20/base        -> origin/gh/yangw-dev/20/base
2025-08-26T20:08:14.7394993Z  * [new branch]              gh/yangw-dev/20/head        -> origin/gh/yangw-dev/20/head
2025-08-26T20:08:14.7395441Z  * [new branch]              gh/yangw-dev/20/orig        -> origin/gh/yangw-dev/20/orig
2025-08-26T20:08:14.7396246Z  * [new branch]              gh/yangw-dev/21/base        -> origin/gh/yangw-dev/21/base
2025-08-26T20:08:14.7396684Z  * [new branch]              gh/yangw-dev/21/head        -> origin/gh/yangw-dev/21/head
2025-08-26T20:08:14.7397307Z  * [new branch]              gh/yangw-dev/21/orig        -> origin/gh/yangw-dev/21/orig
2025-08-26T20:08:14.7398007Z  * [new branch]              gh/yangw-dev/22/base        -> origin/gh/yangw-dev/22/base
2025-08-26T20:08:14.7398556Z  * [new branch]              gh/yangw-dev/22/head        -> origin/gh/yangw-dev/22/head
2025-08-26T20:08:14.7398983Z  * [new branch]              gh/yangw-dev/22/orig        -> origin/gh/yangw-dev/22/orig
2025-08-26T20:08:14.7399731Z  * [new branch]              gh/yangw-dev/23/base        -> origin/gh/yangw-dev/23/base
2025-08-26T20:08:14.7400170Z  * [new branch]              gh/yangw-dev/23/head        -> origin/gh/yangw-dev/23/head
2025-08-26T20:08:14.7400858Z  * [new branch]              gh/yangw-dev/23/orig        -> origin/gh/yangw-dev/23/orig
2025-08-26T20:08:14.7401615Z  * [new branch]              gh/yangw-dev/3/base         -> origin/gh/yangw-dev/3/base
2025-08-26T20:08:14.7402039Z  * [new branch]              gh/yangw-dev/3/head         -> origin/gh/yangw-dev/3/head
2025-08-26T20:08:14.7402900Z  * [new branch]              gh/yangw-dev/4/base         -> origin/gh/yangw-dev/4/base
2025-08-26T20:08:14.7403307Z  * [new branch]              gh/yangw-dev/4/head         -> origin/gh/yangw-dev/4/head
2025-08-26T20:08:14.7404050Z  * [new branch]              gh/yangw-dev/5/base         -> origin/gh/yangw-dev/5/base
2025-08-26T20:08:14.7404468Z  * [new branch]              gh/yangw-dev/5/head         -> origin/gh/yangw-dev/5/head
2025-08-26T20:08:14.7405512Z  * [new branch]              gh/yangw-dev/6/base         -> origin/gh/yangw-dev/6/base
2025-08-26T20:08:14.7405835Z  * [new branch]              gh/yangw-dev/6/head         -> origin/gh/yangw-dev/6/head
2025-08-26T20:08:14.7406618Z  * [new branch]              gh/yangw-dev/7/base         -> origin/gh/yangw-dev/7/base
2025-08-26T20:08:14.7407058Z  * [new branch]              gh/yangw-dev/7/head         -> origin/gh/yangw-dev/7/head
2025-08-26T20:08:14.7407917Z  * [new branch]              gh/yangw-dev/8/base         -> origin/gh/yangw-dev/8/base
2025-08-26T20:08:14.7408344Z  * [new branch]              gh/yangw-dev/8/head         -> origin/gh/yangw-dev/8/head
2025-08-26T20:08:14.7408904Z  * [new branch]              gh/yangw-dev/8/orig         -> origin/gh/yangw-dev/8/orig
2025-08-26T20:08:14.7409637Z  * [new branch]              gh/yangw-dev/9/base         -> origin/gh/yangw-dev/9/base
2025-08-26T20:08:14.7410077Z  * [new branch]              gh/yangw-dev/9/head         -> origin/gh/yangw-dev/9/head
2025-08-26T20:08:14.7410634Z  * [new branch]              gh/yangw-dev/9/orig         -> origin/gh/yangw-dev/9/orig
2025-08-26T20:08:14.7411539Z  * [new branch]              gh/ydwu4/233/base           -> origin/gh/ydwu4/233/base
2025-08-26T20:08:14.7412237Z  * [new branch]              gh/ydwu4/233/head           -> origin/gh/ydwu4/233/head
2025-08-26T20:08:14.7412670Z  * [new branch]              gh/ydwu4/233/orig           -> origin/gh/ydwu4/233/orig
2025-08-26T20:08:14.7413629Z  * [new branch]              gh/ydwu4/246/base           -> origin/gh/ydwu4/246/base
2025-08-26T20:08:14.7414092Z  * [new branch]              gh/ydwu4/246/head           -> origin/gh/ydwu4/246/head
2025-08-26T20:08:14.7414734Z  * [new branch]              gh/ydwu4/246/orig           -> origin/gh/ydwu4/246/orig
2025-08-26T20:08:14.7415645Z  * [new branch]              gh/ydwu4/253/base           -> origin/gh/ydwu4/253/base
2025-08-26T20:08:14.7416247Z  * [new branch]              gh/ydwu4/253/head           -> origin/gh/ydwu4/253/head
2025-08-26T20:08:14.7416689Z  * [new branch]              gh/ydwu4/253/orig           -> origin/gh/ydwu4/253/orig
2025-08-26T20:08:14.7417542Z  * [new branch]              gh/ydwu4/255/base           -> origin/gh/ydwu4/255/base
2025-08-26T20:08:14.7417972Z  * [new branch]              gh/ydwu4/255/head           -> origin/gh/ydwu4/255/head
2025-08-26T20:08:14.7418569Z  * [new branch]              gh/ydwu4/255/orig           -> origin/gh/ydwu4/255/orig
2025-08-26T20:08:14.7419400Z  * [new branch]              gh/ydwu4/259/base           -> origin/gh/ydwu4/259/base
2025-08-26T20:08:14.7419928Z  * [new branch]              gh/ydwu4/259/head           -> origin/gh/ydwu4/259/head
2025-08-26T20:08:14.7420403Z  * [new branch]              gh/ydwu4/259/orig           -> origin/gh/ydwu4/259/orig
2025-08-26T20:08:14.7421388Z  * [new branch]              gh/ydwu4/262/base           -> origin/gh/ydwu4/262/base
2025-08-26T20:08:14.7421934Z  * [new branch]              gh/ydwu4/262/head           -> origin/gh/ydwu4/262/head
2025-08-26T20:08:14.7422480Z  * [new branch]              gh/ydwu4/262/orig           -> origin/gh/ydwu4/262/orig
2025-08-26T20:08:14.7423259Z  * [new branch]              gh/ydwu4/263/base           -> origin/gh/ydwu4/263/base
2025-08-26T20:08:14.7423847Z  * [new branch]              gh/ydwu4/263/head           -> origin/gh/ydwu4/263/head
2025-08-26T20:08:14.7424244Z  * [new branch]              gh/ydwu4/263/orig           -> origin/gh/ydwu4/263/orig
2025-08-26T20:08:14.7425206Z  * [new branch]              gh/ydwu4/269/base           -> origin/gh/ydwu4/269/base
2025-08-26T20:08:14.7425579Z  * [new branch]              gh/ydwu4/269/head           -> origin/gh/ydwu4/269/head
2025-08-26T20:08:14.7426168Z  * [new branch]              gh/ydwu4/269/orig           -> origin/gh/ydwu4/269/orig
2025-08-26T20:08:14.7426902Z  * [new branch]              gh/ydwu4/270/base           -> origin/gh/ydwu4/270/base
2025-08-26T20:08:14.7427507Z  * [new branch]              gh/ydwu4/270/head           -> origin/gh/ydwu4/270/head
2025-08-26T20:08:14.7428102Z  * [new branch]              gh/ydwu4/270/orig           -> origin/gh/ydwu4/270/orig
2025-08-26T20:08:14.7428827Z  * [new branch]              gh/ydwu4/272/base           -> origin/gh/ydwu4/272/base
2025-08-26T20:08:14.7429458Z  * [new branch]              gh/ydwu4/272/head           -> origin/gh/ydwu4/272/head
2025-08-26T20:08:14.7430004Z  * [new branch]              gh/ydwu4/272/orig           -> origin/gh/ydwu4/272/orig
2025-08-26T20:08:14.7430827Z  * [new branch]              gh/ydwu4/275/base           -> origin/gh/ydwu4/275/base
2025-08-26T20:08:14.7431259Z  * [new branch]              gh/ydwu4/275/head           -> origin/gh/ydwu4/275/head
2025-08-26T20:08:14.7431904Z  * [new branch]              gh/ydwu4/275/orig           -> origin/gh/ydwu4/275/orig
2025-08-26T20:08:14.7432490Z  * [new branch]              gh/ydwu4/276/base           -> origin/gh/ydwu4/276/base
2025-08-26T20:08:14.7432911Z  * [new branch]              gh/ydwu4/276/head           -> origin/gh/ydwu4/276/head
2025-08-26T20:08:14.7433521Z  * [new branch]              gh/ydwu4/276/orig           -> origin/gh/ydwu4/276/orig
2025-08-26T20:08:14.7434355Z  * [new branch]              gh/ydwu4/279/base           -> origin/gh/ydwu4/279/base
2025-08-26T20:08:14.7435000Z  * [new branch]              gh/ydwu4/279/head           -> origin/gh/ydwu4/279/head
2025-08-26T20:08:14.7435435Z  * [new branch]              gh/ydwu4/279/orig           -> origin/gh/ydwu4/279/orig
2025-08-26T20:08:14.7436436Z  * [new branch]              gh/ydwu4/283/base           -> origin/gh/ydwu4/283/base
2025-08-26T20:08:14.7436898Z  * [new branch]              gh/ydwu4/283/head           -> origin/gh/ydwu4/283/head
2025-08-26T20:08:14.7437509Z  * [new branch]              gh/ydwu4/283/orig           -> origin/gh/ydwu4/283/orig
2025-08-26T20:08:14.7438317Z  * [new branch]              gh/ydwu4/289/base           -> origin/gh/ydwu4/289/base
2025-08-26T20:08:14.7438870Z  * [new branch]              gh/ydwu4/289/head           -> origin/gh/ydwu4/289/head
2025-08-26T20:08:14.7439459Z  * [new branch]              gh/ydwu4/289/orig           -> origin/gh/ydwu4/289/orig
2025-08-26T20:08:14.7440397Z  * [new branch]              gh/ydwu4/290/base           -> origin/gh/ydwu4/290/base
2025-08-26T20:08:14.7440943Z  * [new branch]              gh/ydwu4/290/head           -> origin/gh/ydwu4/290/head
2025-08-26T20:08:14.7441484Z  * [new branch]              gh/ydwu4/290/orig           -> origin/gh/ydwu4/290/orig
2025-08-26T20:08:14.7442596Z  * [new branch]              gh/ydwu4/291/base           -> origin/gh/ydwu4/291/base
2025-08-26T20:08:14.7443027Z  * [new branch]              gh/ydwu4/291/head           -> origin/gh/ydwu4/291/head
2025-08-26T20:08:14.7443616Z  * [new branch]              gh/ydwu4/291/orig           -> origin/gh/ydwu4/291/orig
2025-08-26T20:08:14.7444460Z  * [new branch]              gh/ydwu4/292/base           -> origin/gh/ydwu4/292/base
2025-08-26T20:08:14.7444879Z  * [new branch]              gh/ydwu4/292/head           -> origin/gh/ydwu4/292/head
2025-08-26T20:08:14.7445417Z  * [new branch]              gh/ydwu4/292/orig           -> origin/gh/ydwu4/292/orig
2025-08-26T20:08:14.7446178Z  * [new branch]              gh/ydwu4/293/base           -> origin/gh/ydwu4/293/base
2025-08-26T20:08:14.7446864Z  * [new branch]              gh/ydwu4/293/head           -> origin/gh/ydwu4/293/head
2025-08-26T20:08:14.7447151Z  * [new branch]              gh/ydwu4/293/orig           -> origin/gh/ydwu4/293/orig
2025-08-26T20:08:14.7447996Z  * [new branch]              gh/ydwu4/294/base           -> origin/gh/ydwu4/294/base
2025-08-26T20:08:14.7448425Z  * [new branch]              gh/ydwu4/294/head           -> origin/gh/ydwu4/294/head
2025-08-26T20:08:14.7449006Z  * [new branch]              gh/ydwu4/294/orig           -> origin/gh/ydwu4/294/orig
2025-08-26T20:08:14.7450231Z  * [new branch]              gh/ydwu4/295/base           -> origin/gh/ydwu4/295/base
2025-08-26T20:08:14.7450768Z  * [new branch]              gh/ydwu4/295/head           -> origin/gh/ydwu4/295/head
2025-08-26T20:08:14.7451206Z  * [new branch]              gh/ydwu4/295/orig           -> origin/gh/ydwu4/295/orig
2025-08-26T20:08:14.7451972Z  * [new branch]              gh/ydwu4/296/base           -> origin/gh/ydwu4/296/base
2025-08-26T20:08:14.7452378Z  * [new branch]              gh/ydwu4/296/head           -> origin/gh/ydwu4/296/head
2025-08-26T20:08:14.7452923Z  * [new branch]              gh/ydwu4/296/orig           -> origin/gh/ydwu4/296/orig
2025-08-26T20:08:14.7454426Z  * [new branch]              gh/ydwu4/300/base           -> origin/gh/ydwu4/300/base
2025-08-26T20:08:14.7455628Z  * [new branch]              gh/ydwu4/300/head           -> origin/gh/ydwu4/300/head
2025-08-26T20:08:14.7456262Z  * [new branch]              gh/ydwu4/300/orig           -> origin/gh/ydwu4/300/orig
2025-08-26T20:08:14.7457292Z  * [new branch]              gh/ydwu4/301/base           -> origin/gh/ydwu4/301/base
2025-08-26T20:08:14.7457681Z  * [new branch]              gh/ydwu4/301/head           -> origin/gh/ydwu4/301/head
2025-08-26T20:08:14.7458276Z  * [new branch]              gh/ydwu4/301/orig           -> origin/gh/ydwu4/301/orig
2025-08-26T20:08:14.7459019Z  * [new branch]              gh/ydwu4/302/base           -> origin/gh/ydwu4/302/base
2025-08-26T20:08:14.7459451Z  * [new branch]              gh/ydwu4/302/head           -> origin/gh/ydwu4/302/head
2025-08-26T20:08:14.7460048Z  * [new branch]              gh/ydwu4/302/orig           -> origin/gh/ydwu4/302/orig
2025-08-26T20:08:14.7460825Z  * [new branch]              gh/ydwu4/303/base           -> origin/gh/ydwu4/303/base
2025-08-26T20:08:14.7461276Z  * [new branch]              gh/ydwu4/303/head           -> origin/gh/ydwu4/303/head
2025-08-26T20:08:14.7461884Z  * [new branch]              gh/ydwu4/303/orig           -> origin/gh/ydwu4/303/orig
2025-08-26T20:08:14.7462626Z  * [new branch]              gh/ydwu4/304/base           -> origin/gh/ydwu4/304/base
2025-08-26T20:08:14.7463174Z  * [new branch]              gh/ydwu4/304/head           -> origin/gh/ydwu4/304/head
2025-08-26T20:08:14.7463723Z  * [new branch]              gh/ydwu4/304/orig           -> origin/gh/ydwu4/304/orig
2025-08-26T20:08:14.7464614Z  * [new branch]              gh/ydwu4/305/base           -> origin/gh/ydwu4/305/base
2025-08-26T20:08:14.7465198Z  * [new branch]              gh/ydwu4/305/head           -> origin/gh/ydwu4/305/head
2025-08-26T20:08:14.7465556Z  * [new branch]              gh/ydwu4/305/orig           -> origin/gh/ydwu4/305/orig
2025-08-26T20:08:14.7471051Z  * [new branch]              gh/ydwu4/306/base           -> origin/gh/ydwu4/306/base
2025-08-26T20:08:14.7471669Z  * [new branch]              gh/ydwu4/306/head           -> origin/gh/ydwu4/306/head
2025-08-26T20:08:14.7472216Z  * [new branch]              gh/ydwu4/306/orig           -> origin/gh/ydwu4/306/orig
2025-08-26T20:08:14.7472958Z  * [new branch]              gh/ydwu4/307/base           -> origin/gh/ydwu4/307/base
2025-08-26T20:08:14.7473745Z  * [new branch]              gh/ydwu4/307/head           -> origin/gh/ydwu4/307/head
2025-08-26T20:08:14.7474389Z  * [new branch]              gh/ydwu4/307/orig           -> origin/gh/ydwu4/307/orig
2025-08-26T20:08:14.7475450Z  * [new branch]              gh/ydwu4/308/base           -> origin/gh/ydwu4/308/base
2025-08-26T20:08:14.7475761Z  * [new branch]              gh/ydwu4/308/head           -> origin/gh/ydwu4/308/head
2025-08-26T20:08:14.7476392Z  * [new branch]              gh/ydwu4/308/orig           -> origin/gh/ydwu4/308/orig
2025-08-26T20:08:14.7477152Z  * [new branch]              gh/ydwu4/309/base           -> origin/gh/ydwu4/309/base
2025-08-26T20:08:14.7477702Z  * [new branch]              gh/ydwu4/309/head           -> origin/gh/ydwu4/309/head
2025-08-26T20:08:14.7478230Z  * [new branch]              gh/ydwu4/309/orig           -> origin/gh/ydwu4/309/orig
2025-08-26T20:08:14.7478986Z  * [new branch]              gh/ydwu4/310/base           -> origin/gh/ydwu4/310/base
2025-08-26T20:08:14.7479540Z  * [new branch]              gh/ydwu4/310/head           -> origin/gh/ydwu4/310/head
2025-08-26T20:08:14.7480075Z  * [new branch]              gh/ydwu4/310/orig           -> origin/gh/ydwu4/310/orig
2025-08-26T20:08:14.7480842Z  * [new branch]              gh/ydwu4/311/base           -> origin/gh/ydwu4/311/base
2025-08-26T20:08:14.7481426Z  * [new branch]              gh/ydwu4/311/head           -> origin/gh/ydwu4/311/head
2025-08-26T20:08:14.7481845Z  * [new branch]              gh/ydwu4/311/orig           -> origin/gh/ydwu4/311/orig
2025-08-26T20:08:14.7482767Z  * [new branch]              gh/ydwu4/312/base           -> origin/gh/ydwu4/312/base
2025-08-26T20:08:14.7483206Z  * [new branch]              gh/ydwu4/312/head           -> origin/gh/ydwu4/312/head
2025-08-26T20:08:14.7483905Z  * [new branch]              gh/ydwu4/312/orig           -> origin/gh/ydwu4/312/orig
2025-08-26T20:08:14.7484830Z  * [new branch]              gh/ydwu4/313/base           -> origin/gh/ydwu4/313/base
2025-08-26T20:08:14.7485483Z  * [new branch]              gh/ydwu4/313/head           -> origin/gh/ydwu4/313/head
2025-08-26T20:08:14.7486031Z  * [new branch]              gh/ydwu4/313/orig           -> origin/gh/ydwu4/313/orig
2025-08-26T20:08:14.7486833Z  * [new branch]              gh/ydwu4/314/base           -> origin/gh/ydwu4/314/base
2025-08-26T20:08:14.7487488Z  * [new branch]              gh/ydwu4/314/head           -> origin/gh/ydwu4/314/head
2025-08-26T20:08:14.7487933Z  * [new branch]              gh/ydwu4/314/orig           -> origin/gh/ydwu4/314/orig
2025-08-26T20:08:14.7488795Z  * [new branch]              gh/ydwu4/315/base           -> origin/gh/ydwu4/315/base
2025-08-26T20:08:14.7489250Z  * [new branch]              gh/ydwu4/315/head           -> origin/gh/ydwu4/315/head
2025-08-26T20:08:14.7489884Z  * [new branch]              gh/ydwu4/315/orig           -> origin/gh/ydwu4/315/orig
2025-08-26T20:08:14.7490755Z  * [new branch]              gh/ydwu4/316/base           -> origin/gh/ydwu4/316/base
2025-08-26T20:08:14.7491334Z  * [new branch]              gh/ydwu4/316/head           -> origin/gh/ydwu4/316/head
2025-08-26T20:08:14.7491886Z  * [new branch]              gh/ydwu4/316/orig           -> origin/gh/ydwu4/316/orig
2025-08-26T20:08:14.7492584Z  * [new branch]              gh/ydwu4/317/base           -> origin/gh/ydwu4/317/base
2025-08-26T20:08:14.7493011Z  * [new branch]              gh/ydwu4/317/head           -> origin/gh/ydwu4/317/head
2025-08-26T20:08:14.7494044Z  * [new branch]              gh/ydwu4/317/orig           -> origin/gh/ydwu4/317/orig
2025-08-26T20:08:14.7495321Z  * [new branch]              gh/yf225/133/base           -> origin/gh/yf225/133/base
2025-08-26T20:08:14.7495914Z  * [new branch]              gh/yf225/133/head           -> origin/gh/yf225/133/head
2025-08-26T20:08:14.7496763Z  * [new branch]              gh/yf225/171/base           -> origin/gh/yf225/171/base
2025-08-26T20:08:14.7497385Z  * [new branch]              gh/yf225/171/head           -> origin/gh/yf225/171/head
2025-08-26T20:08:14.7497925Z  * [new branch]              gh/yf225/171/orig           -> origin/gh/yf225/171/orig
2025-08-26T20:08:14.7498784Z  * [new branch]              gh/yf225/172/base           -> origin/gh/yf225/172/base
2025-08-26T20:08:14.7499208Z  * [new branch]              gh/yf225/172/head           -> origin/gh/yf225/172/head
2025-08-26T20:08:14.7499760Z  * [new branch]              gh/yf225/172/orig           -> origin/gh/yf225/172/orig
2025-08-26T20:08:14.7500505Z  * [new branch]              gh/yf225/93/base            -> origin/gh/yf225/93/base
2025-08-26T20:08:14.7501170Z  * [new branch]              gh/yf225/93/head            -> origin/gh/yf225/93/head
2025-08-26T20:08:14.7502695Z  * [new branch]              gh/yifuwang/152/base        -> origin/gh/yifuwang/152/base
2025-08-26T20:08:14.7503359Z  * [new branch]              gh/yifuwang/152/head        -> origin/gh/yifuwang/152/head
2025-08-26T20:08:14.7503956Z  * [new branch]              gh/yifuwang/152/orig        -> origin/gh/yifuwang/152/orig
2025-08-26T20:08:14.7504627Z  * [new branch]              gh/yifuwang/195/base        -> origin/gh/yifuwang/195/base
2025-08-26T20:08:14.7505317Z  * [new branch]              gh/yifuwang/195/head        -> origin/gh/yifuwang/195/head
2025-08-26T20:08:14.7505903Z  * [new branch]              gh/yifuwang/195/orig        -> origin/gh/yifuwang/195/orig
2025-08-26T20:08:14.7506853Z  * [new branch]              gh/yiming0416/1/base        -> origin/gh/yiming0416/1/base
2025-08-26T20:08:14.7507409Z  * [new branch]              gh/yiming0416/1/head        -> origin/gh/yiming0416/1/head
2025-08-26T20:08:14.7508043Z  * [new branch]              gh/yiming0416/2/base        -> origin/gh/yiming0416/2/base
2025-08-26T20:08:14.7508429Z  * [new branch]              gh/yiming0416/2/head        -> origin/gh/yiming0416/2/head
2025-08-26T20:08:14.7509459Z  * [new branch]              gh/ysiraichi/79/base        -> origin/gh/ysiraichi/79/base
2025-08-26T20:08:14.7510080Z  * [new branch]              gh/ysiraichi/79/head        -> origin/gh/ysiraichi/79/head
2025-08-26T20:08:14.7510684Z  * [new branch]              gh/ysiraichi/79/orig        -> origin/gh/ysiraichi/79/orig
2025-08-26T20:08:14.7511438Z  * [new branch]              gh/ysiraichi/81/base        -> origin/gh/ysiraichi/81/base
2025-08-26T20:08:14.7511894Z  * [new branch]              gh/ysiraichi/81/head        -> origin/gh/ysiraichi/81/head
2025-08-26T20:08:14.7512507Z  * [new branch]              gh/ysiraichi/81/orig        -> origin/gh/ysiraichi/81/orig
2025-08-26T20:08:14.7513349Z  * [new branch]              gh/ysiraichi/88/base        -> origin/gh/ysiraichi/88/base
2025-08-26T20:08:14.7513947Z  * [new branch]              gh/ysiraichi/88/head        -> origin/gh/ysiraichi/88/head
2025-08-26T20:08:14.7514356Z  * [new branch]              gh/ysiraichi/88/orig        -> origin/gh/ysiraichi/88/orig
2025-08-26T20:08:14.7515541Z  * [new branch]              gh/zhxchen17/25/base        -> origin/gh/zhxchen17/25/base
2025-08-26T20:08:14.7516109Z  * [new branch]              gh/zhxchen17/25/head        -> origin/gh/zhxchen17/25/head
2025-08-26T20:08:14.7516504Z  * [new branch]              gh/zhxchen17/25/orig        -> origin/gh/zhxchen17/25/orig
2025-08-26T20:08:14.7517482Z  * [new branch]              gh/zhxchen17/31/base        -> origin/gh/zhxchen17/31/base
2025-08-26T20:08:14.7518042Z  * [new branch]              gh/zhxchen17/31/head        -> origin/gh/zhxchen17/31/head
2025-08-26T20:08:14.7518595Z  * [new branch]              gh/zhxchen17/31/orig        -> origin/gh/zhxchen17/31/orig
2025-08-26T20:08:14.7519342Z  * [new branch]              gh/zhxchen17/34/base        -> origin/gh/zhxchen17/34/base
2025-08-26T20:08:14.7519961Z  * [new branch]              gh/zhxchen17/34/head        -> origin/gh/zhxchen17/34/head
2025-08-26T20:08:14.7520592Z  * [new branch]              gh/zhxchen17/35/base        -> origin/gh/zhxchen17/35/base
2025-08-26T20:08:14.7520983Z  * [new branch]              gh/zhxchen17/35/head        -> origin/gh/zhxchen17/35/head
2025-08-26T20:08:14.7521736Z  * [new branch]              gh/zhxchen17/36/base        -> origin/gh/zhxchen17/36/base
2025-08-26T20:08:14.7522174Z  * [new branch]              gh/zhxchen17/36/head        -> origin/gh/zhxchen17/36/head
2025-08-26T20:08:14.7522867Z  * [new branch]              gh/zhxchen17/36/orig        -> origin/gh/zhxchen17/36/orig
2025-08-26T20:08:14.7523785Z  * [new branch]              gh/zhxchen17/37/base        -> origin/gh/zhxchen17/37/base
2025-08-26T20:08:14.7524422Z  * [new branch]              gh/zhxchen17/37/head        -> origin/gh/zhxchen17/37/head
2025-08-26T20:08:14.7524838Z  * [new branch]              gh/zhxchen17/37/orig        -> origin/gh/zhxchen17/37/orig
2025-08-26T20:08:14.7525787Z  * [new branch]              gh/zhxchen17/38/base        -> origin/gh/zhxchen17/38/base
2025-08-26T20:08:14.7526211Z  * [new branch]              gh/zhxchen17/38/head        -> origin/gh/zhxchen17/38/head
2025-08-26T20:08:14.7526812Z  * [new branch]              gh/zhxchen17/38/orig        -> origin/gh/zhxchen17/38/orig
2025-08-26T20:08:14.7527514Z  * [new branch]              gh/zhxchen17/39/base        -> origin/gh/zhxchen17/39/base
2025-08-26T20:08:14.7528136Z  * [new branch]              gh/zhxchen17/39/head        -> origin/gh/zhxchen17/39/head
2025-08-26T20:08:14.7528695Z  * [new branch]              gh/zhxchen17/39/orig        -> origin/gh/zhxchen17/39/orig
2025-08-26T20:08:14.7529512Z  * [new branch]              gh/zhxchen17/40/base        -> origin/gh/zhxchen17/40/base
2025-08-26T20:08:14.7530067Z  * [new branch]              gh/zhxchen17/40/head        -> origin/gh/zhxchen17/40/head
2025-08-26T20:08:14.7530617Z  * [new branch]              gh/zhxchen17/40/orig        -> origin/gh/zhxchen17/40/orig
2025-08-26T20:08:14.7531655Z  * [new branch]              gh/zhxchen17/41/base        -> origin/gh/zhxchen17/41/base
2025-08-26T20:08:14.7531999Z  * [new branch]              gh/zhxchen17/41/head        -> origin/gh/zhxchen17/41/head
2025-08-26T20:08:14.7532581Z  * [new branch]              gh/zhxchen17/41/orig        -> origin/gh/zhxchen17/41/orig
2025-08-26T20:08:14.7533344Z  * [new branch]              gh/zhxchen17/42/base        -> origin/gh/zhxchen17/42/base
2025-08-26T20:08:14.7534162Z  * [new branch]              gh/zhxchen17/42/head        -> origin/gh/zhxchen17/42/head
2025-08-26T20:08:14.7534786Z  * [new branch]              gh/zhxchen17/42/orig        -> origin/gh/zhxchen17/42/orig
2025-08-26T20:08:14.7535479Z  * [new branch]              gh/zhxchen17/43/base        -> origin/gh/zhxchen17/43/base
2025-08-26T20:08:14.7535892Z  * [new branch]              gh/zhxchen17/43/head        -> origin/gh/zhxchen17/43/head
2025-08-26T20:08:14.7536487Z  * [new branch]              gh/zhxchen17/43/orig        -> origin/gh/zhxchen17/43/orig
2025-08-26T20:08:14.7537464Z  * [new branch]              gh/zklaus/10/base           -> origin/gh/zklaus/10/base
2025-08-26T20:08:14.7538006Z  * [new branch]              gh/zklaus/10/head           -> origin/gh/zklaus/10/head
2025-08-26T20:08:14.7538551Z  * [new branch]              gh/zklaus/10/orig           -> origin/gh/zklaus/10/orig
2025-08-26T20:08:14.7539214Z  * [new branch]              gh/zklaus/11/base           -> origin/gh/zklaus/11/base
2025-08-26T20:08:14.7539659Z  * [new branch]              gh/zklaus/11/head           -> origin/gh/zklaus/11/head
2025-08-26T20:08:14.7540253Z  * [new branch]              gh/zklaus/11/orig           -> origin/gh/zklaus/11/orig
2025-08-26T20:08:14.7540923Z  * [new branch]              gh/zklaus/12/base           -> origin/gh/zklaus/12/base
2025-08-26T20:08:14.7541465Z  * [new branch]              gh/zklaus/12/head           -> origin/gh/zklaus/12/head
2025-08-26T20:08:14.7542036Z  * [new branch]              gh/zklaus/12/orig           -> origin/gh/zklaus/12/orig
2025-08-26T20:08:14.7542792Z  * [new branch]              gh/zklaus/14/base           -> origin/gh/zklaus/14/base
2025-08-26T20:08:14.7543465Z  * [new branch]              gh/zklaus/14/head           -> origin/gh/zklaus/14/head
2025-08-26T20:08:14.7544050Z  * [new branch]              gh/zklaus/14/orig           -> origin/gh/zklaus/14/orig
2025-08-26T20:08:14.7544765Z  * [new branch]              gh/zklaus/15/base           -> origin/gh/zklaus/15/base
2025-08-26T20:08:14.7545207Z  * [new branch]              gh/zklaus/15/head           -> origin/gh/zklaus/15/head
2025-08-26T20:08:14.7545840Z  * [new branch]              gh/zklaus/15/orig           -> origin/gh/zklaus/15/orig
2025-08-26T20:08:14.7546465Z  * [new branch]              gh/zklaus/16/base           -> origin/gh/zklaus/16/base
2025-08-26T20:08:14.7546950Z  * [new branch]              gh/zklaus/16/head           -> origin/gh/zklaus/16/head
2025-08-26T20:08:14.7547503Z  * [new branch]              gh/zklaus/16/orig           -> origin/gh/zklaus/16/orig
2025-08-26T20:08:14.7548629Z  * [new branch]              gh/zklaus/17/base           -> origin/gh/zklaus/17/base
2025-08-26T20:08:14.7549177Z  * [new branch]              gh/zklaus/17/head           -> origin/gh/zklaus/17/head
2025-08-26T20:08:14.7549601Z  * [new branch]              gh/zklaus/17/orig           -> origin/gh/zklaus/17/orig
2025-08-26T20:08:14.7550485Z  * [new branch]              gh/zklaus/18/base           -> origin/gh/zklaus/18/base
2025-08-26T20:08:14.7550908Z  * [new branch]              gh/zklaus/18/head           -> origin/gh/zklaus/18/head
2025-08-26T20:08:14.7551524Z  * [new branch]              gh/zklaus/18/orig           -> origin/gh/zklaus/18/orig
2025-08-26T20:08:14.7552520Z  * [new branch]              gh/zklaus/19/base           -> origin/gh/zklaus/19/base
2025-08-26T20:08:14.7553127Z  * [new branch]              gh/zklaus/19/head           -> origin/gh/zklaus/19/head
2025-08-26T20:08:14.7553623Z  * [new branch]              gh/zklaus/19/orig           -> origin/gh/zklaus/19/orig
2025-08-26T20:08:14.7554426Z  * [new branch]              gh/zklaus/7/base            -> origin/gh/zklaus/7/base
2025-08-26T20:08:14.7555004Z  * [new branch]              gh/zklaus/7/head            -> origin/gh/zklaus/7/head
2025-08-26T20:08:14.7555386Z  * [new branch]              gh/zklaus/7/orig            -> origin/gh/zklaus/7/orig
2025-08-26T20:08:14.7556159Z  * [new branch]              gh/zklaus/9/base            -> origin/gh/zklaus/9/base
2025-08-26T20:08:14.7556717Z  * [new branch]              gh/zklaus/9/head            -> origin/gh/zklaus/9/head
2025-08-26T20:08:14.7557104Z  * [new branch]              gh/zklaus/9/orig            -> origin/gh/zklaus/9/orig
2025-08-26T20:08:14.7558213Z  * [new branch]              gh/zou3519/1175/base        -> origin/gh/zou3519/1175/base
2025-08-26T20:08:14.7558782Z  * [new branch]              gh/zou3519/1175/head        -> origin/gh/zou3519/1175/head
2025-08-26T20:08:14.7559578Z  * [new branch]              gh/zou3519/1175/orig        -> origin/gh/zou3519/1175/orig
2025-08-26T20:08:14.7560347Z  * [new branch]              gh/zou3519/1177/base        -> origin/gh/zou3519/1177/base
2025-08-26T20:08:14.7560793Z  * [new branch]              gh/zou3519/1177/head        -> origin/gh/zou3519/1177/head
2025-08-26T20:08:14.7561695Z  * [new branch]              gh/zou3519/1177/orig        -> origin/gh/zou3519/1177/orig
2025-08-26T20:08:14.7562468Z  * [new branch]              gh/zou3519/1188/base        -> origin/gh/zou3519/1188/base
2025-08-26T20:08:14.7563190Z  * [new branch]              gh/zou3519/1188/head        -> origin/gh/zou3519/1188/head
2025-08-26T20:08:14.7563784Z  * [new branch]              gh/zou3519/1188/orig        -> origin/gh/zou3519/1188/orig
2025-08-26T20:08:14.7564455Z  * [new branch]              gh/zou3519/1189/base        -> origin/gh/zou3519/1189/base
2025-08-26T20:08:14.7564870Z  * [new branch]              gh/zou3519/1189/head        -> origin/gh/zou3519/1189/head
2025-08-26T20:08:14.7565506Z  * [new branch]              gh/zou3519/1189/orig        -> origin/gh/zou3519/1189/orig
2025-08-26T20:08:14.7566288Z  * [new branch]              gh/zou3519/1190/base        -> origin/gh/zou3519/1190/base
2025-08-26T20:08:14.7566887Z  * [new branch]              gh/zou3519/1190/head        -> origin/gh/zou3519/1190/head
2025-08-26T20:08:14.7567513Z  * [new branch]              gh/zou3519/1190/orig        -> origin/gh/zou3519/1190/orig
2025-08-26T20:08:14.7568626Z  * [new branch]              gh/zou3519/1191/base        -> origin/gh/zou3519/1191/base
2025-08-26T20:08:14.7569285Z  * [new branch]              gh/zou3519/1191/head        -> origin/gh/zou3519/1191/head
2025-08-26T20:08:14.7569822Z  * [new branch]              gh/zou3519/1191/orig        -> origin/gh/zou3519/1191/orig
2025-08-26T20:08:14.7570603Z  * [new branch]              gh/zou3519/1192/base        -> origin/gh/zou3519/1192/base
2025-08-26T20:08:14.7571158Z  * [new branch]              gh/zou3519/1192/head        -> origin/gh/zou3519/1192/head
2025-08-26T20:08:14.7571706Z  * [new branch]              gh/zou3519/1192/orig        -> origin/gh/zou3519/1192/orig
2025-08-26T20:08:14.7572782Z  * [new branch]              gh/zpcore/1/base            -> origin/gh/zpcore/1/base
2025-08-26T20:08:14.7573379Z  * [new branch]              gh/zpcore/1/head            -> origin/gh/zpcore/1/head
2025-08-26T20:08:14.7574178Z  * [new branch]              gh/zpcore/10/base           -> origin/gh/zpcore/10/base
2025-08-26T20:08:14.7574551Z  * [new branch]              gh/zpcore/10/head           -> origin/gh/zpcore/10/head
2025-08-26T20:08:14.7575149Z  * [new branch]              gh/zpcore/10/orig           -> origin/gh/zpcore/10/orig
2025-08-26T20:08:14.7575944Z  * [new branch]              gh/zpcore/11/base           -> origin/gh/zpcore/11/base
2025-08-26T20:08:14.7576483Z  * [new branch]              gh/zpcore/11/head           -> origin/gh/zpcore/11/head
2025-08-26T20:08:14.7577020Z  * [new branch]              gh/zpcore/11/orig           -> origin/gh/zpcore/11/orig
2025-08-26T20:08:14.7577998Z  * [new branch]              gh/zpcore/12/base           -> origin/gh/zpcore/12/base
2025-08-26T20:08:14.7578574Z  * [new branch]              gh/zpcore/12/head           -> origin/gh/zpcore/12/head
2025-08-26T20:08:14.7578972Z  * [new branch]              gh/zpcore/12/orig           -> origin/gh/zpcore/12/orig
2025-08-26T20:08:14.7579852Z  * [new branch]              gh/zpcore/13/base           -> origin/gh/zpcore/13/base
2025-08-26T20:08:14.7580247Z  * [new branch]              gh/zpcore/13/head           -> origin/gh/zpcore/13/head
2025-08-26T20:08:14.7580882Z  * [new branch]              gh/zpcore/13/orig           -> origin/gh/zpcore/13/orig
2025-08-26T20:08:14.7581640Z  * [new branch]              gh/zpcore/2/base            -> origin/gh/zpcore/2/base
2025-08-26T20:08:14.7582331Z  * [new branch]              gh/zpcore/2/head            -> origin/gh/zpcore/2/head
2025-08-26T20:08:14.7583010Z  * [new branch]              gh/zpcore/3/base            -> origin/gh/zpcore/3/base
2025-08-26T20:08:14.7583365Z  * [new branch]              gh/zpcore/3/head            -> origin/gh/zpcore/3/head
2025-08-26T20:08:14.7584366Z  * [new branch]              gh/zpcore/4/base            -> origin/gh/zpcore/4/base
2025-08-26T20:08:14.7584746Z  * [new branch]              gh/zpcore/4/head            -> origin/gh/zpcore/4/head
2025-08-26T20:08:14.7585477Z  * [new branch]              gh/zpcore/5/base            -> origin/gh/zpcore/5/base
2025-08-26T20:08:14.7586076Z  * [new branch]              gh/zpcore/5/head            -> origin/gh/zpcore/5/head
2025-08-26T20:08:14.7586690Z  * [new branch]              gh/zpcore/6/base            -> origin/gh/zpcore/6/base
2025-08-26T20:08:14.7587114Z  * [new branch]              gh/zpcore/6/head            -> origin/gh/zpcore/6/head
2025-08-26T20:08:14.7587908Z  * [new branch]              gh/zpcore/7/base            -> origin/gh/zpcore/7/base
2025-08-26T20:08:14.7588301Z  * [new branch]              gh/zpcore/7/head            -> origin/gh/zpcore/7/head
2025-08-26T20:08:14.7589027Z  * [new branch]              gh/zpcore/8/base            -> origin/gh/zpcore/8/base
2025-08-26T20:08:14.7589469Z  * [new branch]              gh/zpcore/8/head            -> origin/gh/zpcore/8/head
2025-08-26T20:08:14.7590636Z  * [new branch]              gh/zpcore/9/head            -> origin/gh/zpcore/9/head
2025-08-26T20:08:14.7591226Z  * [new branch]              gh/zpcore/9/orig            -> origin/gh/zpcore/9/orig
2025-08-26T20:08:14.7592166Z  * [new branch]              google-main                 -> origin/google-main
2025-08-26T20:08:14.7593018Z  * [new branch]              guangyey/external_stream    -> origin/guangyey/external_stream
2025-08-26T20:08:14.7593390Z  * [new branch]              guangyey/host_alloc         -> origin/guangyey/host_alloc
2025-08-26T20:08:14.7593986Z  * [new branch]              guangyey/test_2025          -> origin/guangyey/test_2025
2025-08-26T20:08:14.7594889Z  * [new branch]              guilhermeleobas/cherry-pick-55d87d9dfd9 -> origin/guilhermeleobas/cherry-pick-55d87d9dfd9
2025-08-26T20:08:14.7595694Z  * [new branch]              haozhe/bf16-dynamic-shape   -> origin/haozhe/bf16-dynamic-shape
2025-08-26T20:08:14.7596247Z  * [new branch]              hc_baseline                 -> origin/hc_baseline
2025-08-26T20:08:14.7596922Z  * [new branch]              headeronlyScalarType        -> origin/headeronlyScalarType
2025-08-26T20:08:14.7597512Z  * [new branch]              hf_update                   -> origin/hf_update
2025-08-26T20:08:14.7598109Z  * [new branch]              hhh_decomp_mul              -> origin/hhh_decomp_mul
2025-08-26T20:08:14.7598659Z  * [new branch]              hhh_rand                    -> origin/hhh_rand
2025-08-26T20:08:14.7599717Z  * [new branch]              hoy/mmsplitk                -> origin/hoy/mmsplitk
2025-08-26T20:08:14.7600170Z  * [new branch]              hoy/triton-PR3973           -> origin/hoy/triton-PR3973
2025-08-26T20:08:14.7600875Z  * [new branch]              hoy/triton-coalescing-baseline -> origin/hoy/triton-coalescing-baseline
2025-08-26T20:08:14.7601292Z  * [new branch]              hoy/triton-coalescing-min   -> origin/hoy/triton-coalescing-min
2025-08-26T20:08:14.7601960Z  * [new branch]              hoy/triton-coalescing-new   -> origin/hoy/triton-coalescing-new
2025-08-26T20:08:14.7602670Z  * [new branch]              hoy/triton-coalescing-vec   -> origin/hoy/triton-coalescing-vec
2025-08-26T20:08:14.7603243Z  * [new branch]              inductordecompfix           -> origin/inductordecompfix
2025-08-26T20:08:14.7603936Z  * [new branch]              inline                      -> origin/inline
2025-08-26T20:08:14.7604580Z  * [new branch]              inlining                    -> origin/inlining
2025-08-26T20:08:14.7605179Z  * [new branch]              inlining-ezyang             -> origin/inlining-ezyang
2025-08-26T20:08:14.7605778Z  * [new branch]              int8_sdpa                   -> origin/int8_sdpa
2025-08-26T20:08:14.7606389Z  * [new branch]              invoke-subgraph             -> origin/invoke-subgraph
2025-08-26T20:08:14.7607014Z  * [new branch]              issue#58739                 -> origin/issue#58739
2025-08-26T20:08:14.7607566Z  * [new branch]              issue-154849                -> origin/issue-154849
2025-08-26T20:08:14.7608415Z  * [new branch]              ivanov/cherry-pick-ckpt-fixes -> origin/ivanov/cherry-pick-ckpt-fixes
2025-08-26T20:08:14.7609251Z  * [new branch]              jcaip/test-cusparselt-version-0.6.2 -> origin/jcaip/test-cusparselt-version-0.6.2
2025-08-26T20:08:14.7609694Z  * [new branch]              jcaip/update-cusparselt-0.6.2 -> origin/jcaip/update-cusparselt-0.6.2
2025-08-26T20:08:14.7610497Z  * [new branch]              justinchu/attention-tests   -> origin/justinchu/attention-tests
2025-08-26T20:08:14.7611009Z  * [new branch]              justinchu/native-qdq        -> origin/justinchu/native-qdq
2025-08-26T20:08:14.7611742Z  * [new branch]              justinchu/ort-122           -> origin/justinchu/ort-122
2025-08-26T20:08:14.7612638Z  * [new branch]              justinchuby/JitScalarType   -> origin/justinchuby/JitScalarType
2025-08-26T20:08:14.7613059Z  * [new branch]              justinchuby/dynamo-true     -> origin/justinchuby/dynamo-true
2025-08-26T20:08:14.7613873Z  * [new branch]              kainan666/xlf_debug         -> origin/kainan666/xlf_debug
2025-08-26T20:08:14.7614466Z  * [new branch]              kainan_test                 -> origin/kainan_test
2025-08-26T20:08:14.7615013Z  * [new branch]              learnablebias               -> origin/learnablebias
2025-08-26T20:08:14.7615848Z  * [new branch]              leslie/test_group_gemm_epilogues -> origin/leslie/test_group_gemm_epilogues
2025-08-26T20:08:14.7616615Z  * [new branch]              lessw2020/fix_cutlass_cache_error -> origin/lessw2020/fix_cutlass_cache_error
2025-08-26T20:08:14.7617344Z  * [new branch]              liaoxuan/shm_all_reduce     -> origin/liaoxuan/shm_all_reduce
2025-08-26T20:08:14.7617756Z  * [new branch]              liaoxuan/tags_issue         -> origin/liaoxuan/tags_issue
2025-08-26T20:08:14.7618389Z  * [new branch]              liaoxuan/test_fa_disable_softmax -> origin/liaoxuan/test_fa_disable_softmax
2025-08-26T20:08:14.7618726Z  * [new branch]              liaoxuan/test_int8_sdpa     -> origin/liaoxuan/test_int8_sdpa
2025-08-26T20:08:14.7619367Z  * [new branch]              lintbuilddocker             -> origin/lintbuilddocker
2025-08-26T20:08:14.7619970Z  * [new branch]              llama4-stable               -> origin/llama4-stable
2025-08-26T20:08:14.7620582Z  * [new branch]              logdetfix                   -> origin/logdetfix
2025-08-26T20:08:14.7621732Z  * [new branch]              lts/release/1.8             -> origin/lts/release/1.8
2025-08-26T20:08:14.7622500Z  * [new branch]              lucaskabela/#94773          -> origin/lucaskabela/#94773
2025-08-26T20:08:14.7622909Z  * [new branch]              lucaskabela/fix_157452      -> origin/lucaskabela/fix_157452
2025-08-26T20:08:14.7623651Z  * [new branch]              lucaskabela/func_under_decomp -> origin/lucaskabela/func_under_decomp
2025-08-26T20:08:14.7623975Z  * [new branch]              lucaskabela/functional_in_dynamo -> origin/lucaskabela/functional_in_dynamo
2025-08-26T20:08:14.7624604Z  * [new branch]              lucaskabela/install_params_as_graph_attr -> origin/lucaskabela/install_params_as_graph_attr
2025-08-26T20:08:14.7625349Z  * [new branch]              lucaskabela/issue_120648    -> origin/lucaskabela/issue_120648
2025-08-26T20:08:14.7626062Z  * [new branch]              lucaskabela/misc_typing_dynamo -> origin/lucaskabela/misc_typing_dynamo
2025-08-26T20:08:14.7626803Z  * [new branch]              lucaskabela/parameters_as_graph_attr -> origin/lucaskabela/parameters_as_graph_attr
2025-08-26T20:08:14.7627213Z  * [new branch]              lucaskabela/registry_fix    -> origin/lucaskabela/registry_fix
2025-08-26T20:08:14.7628020Z  * [new branch]              lucaskabela/remove_aot_dispatcher_metadata -> origin/lucaskabela/remove_aot_dispatcher_metadata
2025-08-26T20:08:14.7628366Z  * [new branch]              lucaskabela/rnn_decomp      -> origin/lucaskabela/rnn_decomp
2025-08-26T20:08:14.7629042Z  * [new branch]              lucaskabela/type_guards     -> origin/lucaskabela/type_guards
2025-08-26T20:08:14.7629519Z  * [new branch]              lucaskabela/typing_backends -> origin/lucaskabela/typing_backends
2025-08-26T20:08:14.7630552Z  * [new branch]              lucaskabela/typing_compile_autograd -> origin/lucaskabela/typing_compile_autograd
2025-08-26T20:08:14.7631015Z  * [new branch]              lucaskabela/typing_output_graph -> origin/lucaskabela/typing_output_graph
2025-08-26T20:08:14.7631702Z  * [new branch]              lucaskabela/typing_source_guard -> origin/lucaskabela/typing_source_guard
2025-08-26T20:08:14.7632185Z  * [new branch]              lucaskabela/typing_symbolic_convert -> origin/lucaskabela/typing_symbolic_convert
2025-08-26T20:08:14.7632638Z  * [new branch]              lucaskabela/typing_utils.py -> origin/lucaskabela/typing_utils.py
2025-08-26T20:08:14.7633313Z  * [new branch]              lucaskabela/typing_utils_improvements -> origin/lucaskabela/typing_utils_improvements
2025-08-26T20:08:14.7633851Z  * [new branch]              main                        -> origin/main
2025-08-26T20:08:14.7634681Z  * [new branch]              main-enable-b200-distributed-tests -> origin/main-enable-b200-distributed-tests
2025-08-26T20:08:14.7635293Z  * [new branch]              malfet-patch-1              -> origin/malfet-patch-1
2025-08-26T20:08:14.7635985Z  * [new branch]              malfet-patch-11             -> origin/malfet-patch-11
2025-08-26T20:08:14.7636654Z  * [new branch]              malfet-patch-12             -> origin/malfet-patch-12
2025-08-26T20:08:14.7637255Z  * [new branch]              malfet-patch-14             -> origin/malfet-patch-14
2025-08-26T20:08:14.7637816Z  * [new branch]              malfet-patch-2              -> origin/malfet-patch-2
2025-08-26T20:08:14.7638613Z  * [new branch]              malfet-patch-3              -> origin/malfet-patch-3
2025-08-26T20:08:14.7639350Z  * [new branch]              malfet-patch-4              -> origin/malfet-patch-4
2025-08-26T20:08:14.7640147Z  * [new branch]              malfet-patch-5              -> origin/malfet-patch-5
2025-08-26T20:08:14.7641095Z  * [new branch]              malfet-patch-6              -> origin/malfet-patch-6
2025-08-26T20:08:14.7641750Z  * [new branch]              malfet-patch-7              -> origin/malfet-patch-7
2025-08-26T20:08:14.7642411Z  * [new branch]              malfet-patch-8              -> origin/malfet-patch-8
2025-08-26T20:08:14.7643014Z  * [new branch]              malfet-patch-9              -> origin/malfet-patch-9
2025-08-26T20:08:14.7643835Z  * [new branch]              malfet/delete-upsteam-cuda  -> origin/malfet/delete-upsteam-cuda
2025-08-26T20:08:14.7644300Z  * [new branch]              malfet/mps-implement-col2im -> origin/malfet/mps-implement-col2im
2025-08-26T20:08:14.7645164Z  * [new branch]              manuel/test-ops-common-allow-mps -> origin/manuel/test-ops-common-allow-mps
2025-08-26T20:08:14.7645724Z  * [new branch]              metascroy-patch-1           -> origin/metascroy-patch-1
2025-08-26T20:08:14.7646531Z  * [new branch]              mlazos/S429861-debug        -> origin/mlazos/S429861-debug
2025-08-26T20:08:14.7646935Z  * [new branch]              mlazos/aa                   -> origin/mlazos/aa
2025-08-26T20:08:14.7647592Z  * [new branch]              mlazos/arg-renames          -> origin/mlazos/arg-renames
2025-08-26T20:08:14.7648167Z  * [new branch]              mlazos/backup-test-branch   -> origin/mlazos/backup-test-branch
2025-08-26T20:08:14.7648593Z  * [new branch]              mlazos/bad-cudagraphs       -> origin/mlazos/bad-cudagraphs
2025-08-26T20:08:14.7649140Z  * [new branch]              mlazos/baseline             -> origin/mlazos/baseline
2025-08-26T20:08:14.7649804Z  * [new branch]              mlazos/baseline-graph-breaks -> origin/mlazos/baseline-graph-breaks
2025-08-26T20:08:14.7650175Z  * [new branch]              mlazos/beta-tensor          -> origin/mlazos/beta-tensor
2025-08-26T20:08:14.7650904Z  * [new branch]              mlazos/better-msg           -> origin/mlazos/better-msg
2025-08-26T20:08:14.7651610Z  * [new branch]              mlazos/buffers              -> origin/mlazos/buffers
2025-08-26T20:08:14.7651993Z  * [new branch]              mlazos/buffers2             -> origin/mlazos/buffers2
2025-08-26T20:08:14.7652594Z  * [new branch]              mlazos/buffers3             -> origin/mlazos/buffers3
2025-08-26T20:08:14.7653483Z  * [new branch]              mlazos/ck2                  -> origin/mlazos/ck2
2025-08-26T20:08:14.7654087Z  * [new branch]              mlazos/combokernels         -> origin/mlazos/combokernels
2025-08-26T20:08:14.7654576Z  * [new branch]              mlazos/ctx-cleanup          -> origin/mlazos/ctx-cleanup
2025-08-26T20:08:14.7654973Z  * [new branch]              mlazos/cuda-cmd-log         -> origin/mlazos/cuda-cmd-log
2025-08-26T20:08:14.7655696Z  * [new branch]              mlazos/cudagraph-tests      -> origin/mlazos/cudagraph-tests
2025-08-26T20:08:14.7656156Z  * [new branch]              mlazos/cudagraphs-measurement -> origin/mlazos/cudagraphs-measurement
2025-08-26T20:08:14.7656869Z  * [new branch]              mlazos/cutlass-test         -> origin/mlazos/cutlass-test
2025-08-26T20:08:14.7657741Z  * [new branch]              mlazos/cutlass-topo-bug     -> origin/mlazos/cutlass-topo-bug
2025-08-26T20:08:14.7658233Z  * [new branch]              mlazos/data-gather          -> origin/mlazos/data-gather
2025-08-26T20:08:14.7658880Z  * [new branch]              mlazos/data-ptrs2           -> origin/mlazos/data-ptrs2
2025-08-26T20:08:14.7659346Z  * [new branch]              mlazos/data-ptrs3           -> origin/mlazos/data-ptrs3
2025-08-26T20:08:14.7660003Z  * [new branch]              mlazos/dataclass-proxy      -> origin/mlazos/dataclass-proxy
2025-08-26T20:08:14.7660432Z  * [new branch]              mlazos/dc-attrs             -> origin/mlazos/dc-attrs
2025-08-26T20:08:14.7661241Z  * [new branch]              mlazos/dc-helion            -> origin/mlazos/dc-helion
2025-08-26T20:08:14.7661662Z  * [new branch]              mlazos/dict-fix             -> origin/mlazos/dict-fix
2025-08-26T20:08:14.7662384Z  * [new branch]              mlazos/disable-closures     -> origin/mlazos/disable-closures
2025-08-26T20:08:14.7662809Z  * [new branch]              mlazos/disable-tf           -> origin/mlazos/disable-tf
2025-08-26T20:08:14.7663245Z  * [new branch]              mlazos/dupe-fix             -> origin/mlazos/dupe-fix
2025-08-26T20:08:14.7663907Z  * [new branch]              mlazos/dyn-batch            -> origin/mlazos/dyn-batch
2025-08-26T20:08:14.7664384Z  * [new branch]              mlazos/evt                  -> origin/mlazos/evt
2025-08-26T20:08:14.7665005Z  * [new branch]              mlazos/exp_disable          -> origin/mlazos/exp_disable
2025-08-26T20:08:14.7665455Z  * [new branch]              mlazos/extract-examples     -> origin/mlazos/extract-examples
2025-08-26T20:08:14.7666079Z  * [new branch]              mlazos/foreach-op           -> origin/mlazos/foreach-op
2025-08-26T20:08:14.7666624Z  * [new branch]              mlazos/fp8                  -> origin/mlazos/fp8
2025-08-26T20:08:14.7667307Z  * [new branch]              mlazos/fp8-bias             -> origin/mlazos/fp8-bias
2025-08-26T20:08:14.7667924Z  * [new branch]              mlazos/fp8-bias-fusion      -> origin/mlazos/fp8-bias-fusion
2025-08-26T20:08:14.7668272Z  * [new branch]              mlazos/fp8-fixes            -> origin/mlazos/fp8-fixes
2025-08-26T20:08:14.7668855Z  * [new branch]              mlazos/freezing             -> origin/mlazos/freezing
2025-08-26T20:08:14.7669424Z  * [new branch]              mlazos/h-comp               -> origin/mlazos/h-comp
2025-08-26T20:08:14.7669805Z  * [new branch]              mlazos/h-comp2              -> origin/mlazos/h-comp2
2025-08-26T20:08:14.7670285Z  * [new branch]              mlazos/hash-hop             -> origin/mlazos/hash-hop
2025-08-26T20:08:14.7670897Z  * [new branch]              mlazos/hc                   -> origin/mlazos/hc
2025-08-26T20:08:14.7671449Z  * [new branch]              mlazos/hc-cycles            -> origin/mlazos/hc-cycles
2025-08-26T20:08:14.7671958Z  * [new branch]              mlazos/hc-fixes             -> origin/mlazos/hc-fixes
2025-08-26T20:08:14.7672477Z  * [new branch]              mlazos/hc-fixes3            -> origin/mlazos/hc-fixes3
2025-08-26T20:08:14.7672997Z  * [new branch]              mlazos/hc-fixes4            -> origin/mlazos/hc-fixes4
2025-08-26T20:08:14.7673537Z  * [new branch]              mlazos/hc-hf                -> origin/mlazos/hc-hf
2025-08-26T20:08:14.7674056Z  * [new branch]              mlazos/hc-mut               -> origin/mlazos/hc-mut
2025-08-26T20:08:14.7674747Z  * [new branch]              mlazos/hc10                 -> origin/mlazos/hc10
2025-08-26T20:08:14.7675340Z  * [new branch]              mlazos/hc11                 -> origin/mlazos/hc11
2025-08-26T20:08:14.7675923Z  * [new branch]              mlazos/hc12                 -> origin/mlazos/hc12
2025-08-26T20:08:14.7676325Z  * [new branch]              mlazos/hc13                 -> origin/mlazos/hc13
2025-08-26T20:08:14.7676912Z  * [new branch]              mlazos/hc14                 -> origin/mlazos/hc14
2025-08-26T20:08:14.7677320Z  * [new branch]              mlazos/hc15                 -> origin/mlazos/hc15
2025-08-26T20:08:14.7677926Z  * [new branch]              mlazos/hc2                  -> origin/mlazos/hc2
2025-08-26T20:08:14.7678400Z  * [new branch]              mlazos/hc4                  -> origin/mlazos/hc4
2025-08-26T20:08:14.7678995Z  * [new branch]              mlazos/hc5                  -> origin/mlazos/hc5
2025-08-26T20:08:14.7679389Z  * [new branch]              mlazos/hc6                  -> origin/mlazos/hc6
2025-08-26T20:08:14.7680007Z  * [new branch]              mlazos/hc7                  -> origin/mlazos/hc7
2025-08-26T20:08:14.7680363Z  * [new branch]              mlazos/hc8                  -> origin/mlazos/hc8
2025-08-26T20:08:14.7681122Z  * [new branch]              mlazos/hc9                  -> origin/mlazos/hc9
2025-08-26T20:08:14.7681471Z  * [new branch]              mlazos/hc_baseline2         -> origin/mlazos/hc_baseline2
2025-08-26T20:08:14.7682018Z  * [new branch]              mlazos/hop-modes            -> origin/mlazos/hop-modes
2025-08-26T20:08:14.7682675Z  * [new branch]              mlazos/init-per-param       -> origin/mlazos/init-per-param
2025-08-26T20:08:14.7683253Z  * [new branch]              mlazos/init_per_param       -> origin/mlazos/init_per_param
2025-08-26T20:08:14.7683816Z  * [new branch]              mlazos/less-guards          -> origin/mlazos/less-guards
2025-08-26T20:08:14.7684274Z  * [new branch]              mlazos/lr-composibility     -> origin/mlazos/lr-composibility
2025-08-26T20:08:14.7684811Z  * [new branch]              mlazos/main                 -> origin/mlazos/main
2025-08-26T20:08:14.7685381Z  * [new branch]              mlazos/main-test-enablement -> origin/mlazos/main-test-enablement
2025-08-26T20:08:14.7685815Z  * [new branch]              mlazos/main2                -> origin/mlazos/main2
2025-08-26T20:08:14.7686321Z  * [new branch]              mlazos/mcg                  -> origin/mlazos/mcg
2025-08-26T20:08:14.7686826Z  * [new branch]              mlazos/mcg2                 -> origin/mlazos/mcg2
2025-08-26T20:08:14.7687388Z  * [new branch]              mlazos/meta-guards          -> origin/mlazos/meta-guards
2025-08-26T20:08:14.7688140Z  * [new branch]              mlazos/mlazos/ck2           -> origin/mlazos/mlazos/ck2
2025-08-26T20:08:14.7688741Z  * [new branch]              mlazos/mlazos/foreach-map-adam -> origin/mlazos/mlazos/foreach-map-adam
2025-08-26T20:08:14.7689186Z  * [new branch]              mlazos/mlazos/tf-mode-backup -> origin/mlazos/mlazos/tf-mode-backup
2025-08-26T20:08:14.7689747Z  * [new branch]              mlazos/mod-fix              -> origin/mlazos/mod-fix
2025-08-26T20:08:14.7690350Z  * [new branch]              mlazos/mode-fix             -> origin/mlazos/mode-fix
2025-08-26T20:08:14.7691026Z  * [new branch]              mlazos/more-tests           -> origin/mlazos/more-tests
2025-08-26T20:08:14.7691627Z  * [new branch]              mlazos/no-cpp               -> origin/mlazos/no-cpp
2025-08-26T20:08:14.7692271Z  * [new branch]              mlazos/no-init-group-handling -> origin/mlazos/no-init-group-handling
2025-08-26T20:08:14.7692587Z  * [new branch]              mlazos/offsets              -> origin/mlazos/offsets
2025-08-26T20:08:14.7693234Z  * [new branch]              mlazos/opt-bench-exp2       -> origin/mlazos/opt-bench-exp2
2025-08-26T20:08:14.7693624Z  * [new branch]              mlazos/opt-incr             -> origin/mlazos/opt-incr
2025-08-26T20:08:14.7694520Z  * [new branch]              mlazos/proxy-ctors          -> origin/mlazos/proxy-ctors
2025-08-26T20:08:14.7695074Z  * [new branch]              mlazos/quant-fix            -> origin/mlazos/quant-fix
2025-08-26T20:08:14.7695432Z  * [new branch]              mlazos/rm-buf-names         -> origin/mlazos/rm-buf-names
2025-08-26T20:08:14.7695981Z  * [new branch]              mlazos/rm-code              -> origin/mlazos/rm-code
2025-08-26T20:08:14.7696399Z  * [new branch]              mlazos/rm-spam              -> origin/mlazos/rm-spam
2025-08-26T20:08:14.7697016Z  * [new branch]              mlazos/rtp                  -> origin/mlazos/rtp
2025-08-26T20:08:14.7697808Z  * [new branch]              mlazos/static-idx-dbg       -> origin/mlazos/static-idx-dbg
2025-08-26T20:08:14.7698422Z  * [new branch]              mlazos/static-inputs-log    -> origin/mlazos/static-inputs-log
2025-08-26T20:08:14.7698800Z  * [new branch]              mlazos/sub-param-fix        -> origin/mlazos/sub-param-fix
2025-08-26T20:08:14.7699466Z  * [new branch]              mlazos/td-fix2              -> origin/mlazos/td-fix2
2025-08-26T20:08:14.7700055Z  * [new branch]              mlazos/tensor-hasattr2      -> origin/mlazos/tensor-hasattr2
2025-08-26T20:08:14.7700588Z  * [new branch]              mlazos/test                 -> origin/mlazos/test
2025-08-26T20:08:14.7701074Z  * [new branch]              mlazos/tf-mode              -> origin/mlazos/tf-mode
2025-08-26T20:08:14.7701683Z  * [new branch]              mlazos/tf-mode-backup2      -> origin/mlazos/tf-mode-backup2
2025-08-26T20:08:14.7702129Z  * [new branch]              mlazos/tf-mode-reland       -> origin/mlazos/tf-mode-reland
2025-08-26T20:08:14.7702820Z  * [new branch]              mlazos/tf-mode-reland2      -> origin/mlazos/tf-mode-reland2
2025-08-26T20:08:14.7703275Z  * [new branch]              mlazos/tf-mode-reland3      -> origin/mlazos/tf-mode-reland3
2025-08-26T20:08:14.7703872Z  * [new branch]              mlazos/topo-fix             -> origin/mlazos/topo-fix
2025-08-26T20:08:14.7704306Z  * [new branch]              mlazos/triton-no-epi        -> origin/mlazos/triton-no-epi
2025-08-26T20:08:14.7704907Z  * [new branch]              mlazos/tune-proto           -> origin/mlazos/tune-proto
2025-08-26T20:08:14.7705351Z  * [new branch]              mlazos/tuple-fixes          -> origin/mlazos/tuple-fixes
2025-08-26T20:08:14.7705809Z  * [new branch]              mlazos/tuple-fixes2         -> origin/mlazos/tuple-fixes2
2025-08-26T20:08:14.7706412Z  * [new branch]              mlazos/tuple-handling       -> origin/mlazos/tuple-handling
2025-08-26T20:08:14.7707032Z  * [new branch]              mlazos/user-streams         -> origin/mlazos/user-streams
2025-08-26T20:08:14.7707648Z  * [new branch]              mlazos/vary-beta            -> origin/mlazos/vary-beta
2025-08-26T20:08:14.7708247Z  * [new branch]              mlazos/vary-beta2           -> origin/mlazos/vary-beta2
2025-08-26T20:08:14.7708786Z  * [new branch]              mlazos/weird-perf1          -> origin/mlazos/weird-perf1
2025-08-26T20:08:14.7709654Z  * [new branch]              mm_out_dtype_compile        -> origin/mm_out_dtype_compile
2025-08-26T20:08:14.7710286Z  * [new branch]              modify-setupvllm            -> origin/modify-setupvllm
2025-08-26T20:08:14.7710856Z  * [new branch]              move-theme-out-docker       -> origin/move-theme-out-docker
2025-08-26T20:08:14.7711445Z  * [new branch]              mps-linear-1d               -> origin/mps-linear-1d
2025-08-26T20:08:14.7712295Z  * [new branch]              msaroufim/be1               -> origin/msaroufim/be1
2025-08-26T20:08:14.7712863Z  * [new branch]              msaroufim/cn_path           -> origin/msaroufim/cn_path
2025-08-26T20:08:14.7713449Z  * [new branch]              msaroufim/dtensorfusedadam  -> origin/msaroufim/dtensorfusedadam
2025-08-26T20:08:14.7714049Z  * [new branch]              msaroufim/reduce            -> origin/msaroufim/reduce
2025-08-26T20:08:14.7714787Z  * [new branch]              mtia/basic-cmake            -> origin/mtia/basic-cmake
2025-08-26T20:08:14.7715401Z  * [new branch]              muon_dev                    -> origin/muon_dev
2025-08-26T20:08:14.7716015Z  * [new branch]              muon_dev_1                  -> origin/muon_dev_1
2025-08-26T20:08:14.7716770Z  * [new branch]              new-modifiy-setupvllm       -> origin/new-modifiy-setupvllm
2025-08-26T20:08:14.7717350Z  * [new branch]              new-setupvllm               -> origin/new-setupvllm
2025-08-26T20:08:14.7718005Z  * [new branch]              newtest-base                -> origin/newtest-base
2025-08-26T20:08:14.7718835Z  * [new branch]              ngimel/cat_perf             -> origin/ngimel/cat_perf
2025-08-26T20:08:14.7719279Z  * [new branch]              ngimel/error_index_list     -> origin/ngimel/error_index_list
2025-08-26T20:08:14.7719883Z  * [new branch]              ngimel/fabric_check         -> origin/ngimel/fabric_check
2025-08-26T20:08:14.7720525Z  * [new branch]              ngimel/fabric_driver_version -> origin/ngimel/fabric_driver_version
2025-08-26T20:08:14.7720819Z  * [new branch]              ngimel/fabric_fix           -> origin/ngimel/fabric_fix
2025-08-26T20:08:14.7721426Z  * [new branch]              ngimel/fabric_symm          -> origin/ngimel/fabric_symm
2025-08-26T20:08:14.7722156Z  * [new branch]              ngimel/fix_driver_init_error -> origin/ngimel/fix_driver_init_error
2025-08-26T20:08:14.7722816Z  * [new branch]              ngimel/fix_nccl_segment_seg -> origin/ngimel/fix_nccl_segment_seg
2025-08-26T20:08:14.7723458Z  * [new branch]              ngimel/gg_new               -> origin/ngimel/gg_new
2025-08-26T20:08:14.7724023Z  * [new branch]              ngimel/grouped_mm_checks    -> origin/ngimel/grouped_mm_checks
2025-08-26T20:08:14.7724458Z  * [new branch]              ngimel/guardfabric          -> origin/ngimel/guardfabric
2025-08-26T20:08:14.7725041Z  * [new branch]              ngimel/modeguard            -> origin/ngimel/modeguard
2025-08-26T20:08:14.7725701Z  * [new branch]              ngimel/multicast_fix        -> origin/ngimel/multicast_fix
2025-08-26T20:08:14.7726138Z  * [new branch]              ngimel/unbind_multimem      -> origin/ngimel/unbind_multimem
2025-08-26T20:08:14.7726837Z  * [new branch]              nightly                     -> origin/nightly
2025-08-26T20:08:14.7727666Z  * [new branch]              nmacchioni-patch-10         -> origin/nmacchioni-patch-10
2025-08-26T20:08:14.7728290Z  * [new branch]              nmacchioni-patch-7          -> origin/nmacchioni-patch-7
2025-08-26T20:08:14.7728938Z  * [new branch]              nmacchioni-patch-8          -> origin/nmacchioni-patch-8
2025-08-26T20:08:14.7729599Z  * [new branch]              nmacchioni-patch-9          -> origin/nmacchioni-patch-9
2025-08-26T20:08:14.7730210Z  * [new branch]              nullplay_fuse_matmul        -> origin/nullplay_fuse_matmul
2025-08-26T20:08:14.7731082Z  * [new branch]              nweidia/enable-B200-inductor-nightly-ci -> origin/nweidia/enable-B200-inductor-nightly-ci
2025-08-26T20:08:14.7731472Z  * [new branch]              one-off                     -> origin/one-off
2025-08-26T20:08:14.7732863Z  * [new branch]              orig/release/1.10           -> origin/orig/release/1.10
2025-08-26T20:08:14.7733479Z  * [new branch]              orig/release/1.11           -> origin/orig/release/1.11
2025-08-26T20:08:14.7734110Z  * [new branch]              orig/release/1.12           -> origin/orig/release/1.12
2025-08-26T20:08:14.7734814Z  * [new branch]              orig/release/1.13           -> origin/orig/release/1.13
2025-08-26T20:08:14.7735441Z  * [new branch]              orig/release/1.6            -> origin/orig/release/1.6
2025-08-26T20:08:14.7736266Z  * [new branch]              orig/release/1.7            -> origin/orig/release/1.7
2025-08-26T20:08:14.7736959Z  * [new branch]              orig/release/1.8            -> origin/orig/release/1.8
2025-08-26T20:08:14.7737563Z  * [new branch]              orig/release/1.9            -> origin/orig/release/1.9
2025-08-26T20:08:14.7738165Z  * [new branch]              orig/release/2.0            -> origin/orig/release/2.0
2025-08-26T20:08:14.7738714Z  * [new branch]              orig/release/2.1            -> origin/orig/release/2.1
2025-08-26T20:08:14.7739342Z  * [new branch]              orig/release/2.2            -> origin/orig/release/2.2
2025-08-26T20:08:14.7739890Z  * [new branch]              orig/release/2.3            -> origin/orig/release/2.3
2025-08-26T20:08:14.7740454Z  * [new branch]              orig/release/2.4            -> origin/orig/release/2.4
2025-08-26T20:08:14.7740872Z  * [new branch]              orig/release/2.5            -> origin/orig/release/2.5
2025-08-26T20:08:14.7741483Z  * [new branch]              orig/release/2.6            -> origin/orig/release/2.6
2025-08-26T20:08:14.7742259Z  * [new branch]              orig/release/2.7            -> origin/orig/release/2.7
2025-08-26T20:08:14.7743063Z  * [new branch]              orig/release/2.8            -> origin/orig/release/2.8
2025-08-26T20:08:14.7743857Z  * [new branch]              oulgen/fx_graph             -> origin/oulgen/fx_graph
2025-08-26T20:08:14.7744446Z  * [new branch]              padded-tensor               -> origin/padded-tensor
2025-08-26T20:08:14.7745355Z  * [new branch]              parallel_cat                -> origin/parallel_cat
2025-08-26T20:08:14.7746137Z  * [new branch]              pca2                        -> origin/pca2
2025-08-26T20:08:14.7746921Z  * [new branch]              pianpwk-patch-1             -> origin/pianpwk-patch-1
2025-08-26T20:08:14.7747812Z  * [new branch]              pianpwk/backed_size_oblivious_export -> origin/pianpwk/backed_size_oblivious_export
2025-08-26T20:08:14.7748197Z  * [new branch]              pianpwk/dde_repeat_cat      -> origin/pianpwk/dde_repeat_cat
2025-08-26T20:08:14.7748828Z  * [new branch]              pianpwk/invalidate_fake_memo -> origin/pianpwk/invalidate_fake_memo
2025-08-26T20:08:14.7749224Z  * [new branch]              pianpwk/max_1_strides       -> origin/pianpwk/max_1_strides
2025-08-26T20:08:14.7749786Z  * [new branch]              pianpwk/nonzero_memo        -> origin/pianpwk/nonzero_memo
2025-08-26T20:08:14.7750468Z  * [new branch]              pianpwk/oblivious_reshape_view_better -> origin/pianpwk/oblivious_reshape_view_better
2025-08-26T20:08:14.7751205Z  * [new branch]              pianpwk/oblivious_should_swap -> origin/pianpwk/oblivious_should_swap
2025-08-26T20:08:14.7751966Z  * [new branch]              pianpwk/oblivious_slice_forward -> origin/pianpwk/oblivious_slice_forward
2025-08-26T20:08:14.7752407Z  * [new branch]              pianpwk/oblivious_where     -> origin/pianpwk/oblivious_where
2025-08-26T20:08:14.7753024Z  * [new branch]              pianpwk/param_static_pgo    -> origin/pianpwk/param_static_pgo
2025-08-26T20:08:14.7753437Z  * [new branch]              pianpwk/pre_forward_hook    -> origin/pianpwk/pre_forward_hook
2025-08-26T20:08:14.7754140Z  * [new branch]              pianpwk/remove_guard_fail_break -> origin/pianpwk/remove_guard_fail_break
2025-08-26T20:08:14.7754571Z  * [new branch]              pianpwk/slice_fresh_symbols -> origin/pianpwk/slice_fresh_symbols
2025-08-26T20:08:14.7755264Z  * [new branch]              pianpwk/test_slice_fake_impl -> origin/pianpwk/test_slice_fake_impl
2025-08-26T20:08:14.7755929Z  * [new branch]              pianpwk/unbacked_channels_last -> origin/pianpwk/unbacked_channels_last
2025-08-26T20:08:14.7756406Z  * [new branch]              pianpwk/unbacked_safe_conv1d -> origin/pianpwk/unbacked_safe_conv1d
2025-08-26T20:08:14.7756985Z  * [new branch]              pianpwk/unbacked_sdpa_flash -> origin/pianpwk/unbacked_sdpa_flash
2025-08-26T20:08:14.7757653Z  * [new branch]              pianpwk/unbacked_should_swap -> origin/pianpwk/unbacked_should_swap
2025-08-26T20:08:14.7758094Z  * [new branch]              pianpwk/unbacked_should_swap_2 -> origin/pianpwk/unbacked_should_swap_2
2025-08-26T20:08:14.7758683Z  * [new branch]              pianpwk/unbacked_slice_binding -> origin/pianpwk/unbacked_slice_binding
2025-08-26T20:08:14.7759125Z  * [new branch]              pianpwk/unbacked_slice_forward -> origin/pianpwk/unbacked_slice_forward
2025-08-26T20:08:14.7759694Z  * [new branch]              pianpwk/wan21_reshape       -> origin/pianpwk/wan21_reshape
2025-08-26T20:08:14.7760132Z  * [new branch]              pianpwk/whitelist_optimizer -> origin/pianpwk/whitelist_optimizer
2025-08-26T20:08:14.7760849Z  * [new branch]              pin-torchao                 -> origin/pin-torchao
2025-08-26T20:08:14.7761686Z  * [new branch]              piz/fall_back_missing_0716  -> origin/piz/fall_back_missing_0716
2025-08-26T20:08:14.7762117Z  * [new branch]              piz/fix_sort_               -> origin/piz/fix_sort_
2025-08-26T20:08:14.7762731Z  * [new branch]              piz/improve_scatter_0808    -> origin/piz/improve_scatter_0808
2025-08-26T20:08:14.7763486Z  * [new branch]              pool-separate               -> origin/pool-separate
2025-08-26T20:08:14.7764106Z  * [new branch]              pr-156087                   -> origin/pr-156087
2025-08-26T20:08:14.7764979Z  * [new branch]              pr/131860                   -> origin/pr/131860
2025-08-26T20:08:14.7765592Z  * [new branch]              predispatch_to              -> origin/predispatch_to
2025-08-26T20:08:14.7768915Z  * [new branch]              pt-opt-cuda3                -> origin/pt-opt-cuda3
2025-08-26T20:08:14.7770402Z  * [new branch]              pt2e-cache-model-device     -> origin/pt2e-cache-model-device
2025-08-26T20:08:14.7771300Z  * [new branch]              pyobjectslot                -> origin/pyobjectslot
2025-08-26T20:08:14.7772428Z  * [new branch]              python_compiled_autograd    -> origin/python_compiled_autograd
2025-08-26T20:08:14.7773580Z  * [new branch]              qchip/export-D54134695      -> origin/qchip/export-D54134695
2025-08-26T20:08:14.7774145Z  * [new branch]              quint-bits                  -> origin/quint-bits
2025-08-26T20:08:14.7775032Z  * [new branch]              release/1.10                -> origin/release/1.10
2025-08-26T20:08:14.7775623Z  * [new branch]              release/1.11                -> origin/release/1.11
2025-08-26T20:08:14.7776240Z  * [new branch]              release/1.12                -> origin/release/1.12
2025-08-26T20:08:14.7776773Z  * [new branch]              release/1.13                -> origin/release/1.13
2025-08-26T20:08:14.7777315Z  * [new branch]              release/1.4                 -> origin/release/1.4
2025-08-26T20:08:14.7777635Z  * [new branch]              release/1.4.1               -> origin/release/1.4.1
2025-08-26T20:08:14.7778312Z  * [new branch]              release/1.5                 -> origin/release/1.5
2025-08-26T20:08:14.7779122Z  * [new branch]              release/1.6                 -> origin/release/1.6
2025-08-26T20:08:14.7779711Z  * [new branch]              release/1.7                 -> origin/release/1.7
2025-08-26T20:08:14.7780432Z  * [new branch]              release/1.8                 -> origin/release/1.8
2025-08-26T20:08:14.7781246Z  * [new branch]              release/1.9                 -> origin/release/1.9
2025-08-26T20:08:14.7781779Z  * [new branch]              release/2.0                 -> origin/release/2.0
2025-08-26T20:08:14.7782438Z  * [new branch]              release/2.1                 -> origin/release/2.1
2025-08-26T20:08:14.7783029Z  * [new branch]              release/2.2                 -> origin/release/2.2
2025-08-26T20:08:14.7783783Z  * [new branch]              release/2.3                 -> origin/release/2.3
2025-08-26T20:08:14.7784580Z  * [new branch]              release/2.4                 -> origin/release/2.4
2025-08-26T20:08:14.7785319Z  * [new branch]              release/2.5                 -> origin/release/2.5
2025-08-26T20:08:14.7785969Z  * [new branch]              release/2.6                 -> origin/release/2.6
2025-08-26T20:08:14.7786592Z  * [new branch]              release/2.7                 -> origin/release/2.7
2025-08-26T20:08:14.7787218Z  * [new branch]              release/2.8                 -> origin/release/2.8
2025-08-26T20:08:14.7787804Z  * [new branch]              release_notes               -> origin/release_notes
2025-08-26T20:08:14.7788458Z  * [new branch]              remove-actionable-label     -> origin/remove-actionable-label
2025-08-26T20:08:14.7789060Z  * [new branch]              remove-ao                   -> origin/remove-ao
2025-08-26T20:08:14.7789761Z  * [new branch]              replace-pytorch-labs-20250812-195836 -> origin/replace-pytorch-labs-20250812-195836
2025-08-26T20:08:14.7790151Z  * [new branch]              replace-pytorch-labs-20250812-200248 -> origin/replace-pytorch-labs-20250812-200248
2025-08-26T20:08:14.7790770Z  * [new branch]              replace-pytorch-labs-20250812-200324 -> origin/replace-pytorch-labs-20250812-200324
2025-08-26T20:08:14.7791207Z  * [new branch]              replace-pytorch-labs-20250812-204020 -> origin/replace-pytorch-labs-20250812-204020
2025-08-26T20:08:14.7791859Z  * [new branch]              replace-pytorch-labs-20250812-204125 -> origin/replace-pytorch-labs-20250812-204125
2025-08-26T20:08:14.7792289Z  * [new branch]              replace-pytorch-labs-20250812-205624 -> origin/replace-pytorch-labs-20250812-205624
2025-08-26T20:08:14.7793552Z  * [new branch]              revert-131069-gh/krzysztofjordan/1/head -> origin/revert-131069-gh/krzysztofjordan/1/head
2025-08-26T20:08:14.7794681Z  * [new branch]              revert-131469-gh/andrewor14/51/head -> origin/revert-131469-gh/andrewor14/51/head
2025-08-26T20:08:14.7795890Z  * [new branch]              revert-156870-gh/skarjala/3/head -> origin/revert-156870-gh/skarjala/3/head
2025-08-26T20:08:14.7796779Z  * [new branch]              revert-157914-cherry-pick-157503-by-pytorch_bot_bot_ -> origin/revert-157914-cherry-pick-157503-by-pytorch_bot_bot_
2025-08-26T20:08:14.7797145Z  * [new branch]              revert-direct-updates       -> origin/revert-direct-updates
2025-08-26T20:08:14.7797806Z  * [new branch]              rocm-monitoring             -> origin/rocm-monitoring
2025-08-26T20:08:14.7798707Z  * [new branch]              ryanguo99/cleanup-dynamo-expected-failures -> origin/ryanguo99/cleanup-dynamo-expected-failures
2025-08-26T20:08:14.7799081Z  * [new branch]              ryanguo99/fix-closure-var   -> origin/ryanguo99/fix-closure-var
2025-08-26T20:08:14.7800312Z  * [new branch]              rzou/faketensor_bench       -> origin/rzou/faketensor_bench
2025-08-26T20:08:14.7800723Z  * [new branch]              rzou/njt                    -> origin/rzou/njt
2025-08-26T20:08:14.7801329Z  * [new branch]              rzou/operator               -> origin/rzou/operator
2025-08-26T20:08:14.7801904Z  * [new branch]              rzou/pca                    -> origin/rzou/pca
2025-08-26T20:08:14.7802449Z  * [new branch]              rzou/realprop               -> origin/rzou/realprop
2025-08-26T20:08:14.7802862Z  * [new branch]              rzou/setup_context          -> origin/rzou/setup_context
2025-08-26T20:08:14.7803921Z  * [new branch]              sanchitintel/refactor_aten_int8_woq_gemm -> origin/sanchitintel/refactor_aten_int8_woq_gemm
2025-08-26T20:08:14.7804472Z  * [new branch]              sanchitintel/weird_thing_with_test_cpu_select_algorithm -> origin/sanchitintel/weird_thing_with_test_cpu_select_algorithm
2025-08-26T20:08:14.7805149Z  * [new branch]              sapling-pr-archive-SS-JIA   -> origin/sapling-pr-archive-SS-JIA
2025-08-26T20:08:14.7805588Z  * [new branch]              save                        -> origin/save
2025-08-26T20:08:14.7806437Z  * [new branch]              sdym/2.5.1                  -> origin/sdym/2.5.1
2025-08-26T20:08:14.7807103Z  * [new branch]              seemethere-patch-1          -> origin/seemethere-patch-1
2025-08-26T20:08:14.7807520Z  * [new branch]              setup-torchci               -> origin/setup-torchci
2025-08-26T20:08:14.7808121Z  * [new branch]              setupvllm                   -> origin/setupvllm
2025-08-26T20:08:14.7808731Z  * [new branch]              share_and_pin_fork          -> origin/share_and_pin_fork
2025-08-26T20:08:14.7809570Z  * [new branch]              shengf/fx-xform-perf        -> origin/shengf/fx-xform-perf
2025-08-26T20:08:14.7810183Z  * [new branch]              shikaili_fp8_allgather      -> origin/shikaili_fp8_allgather
2025-08-26T20:08:14.7810752Z  * [new branch]              shoumikhin-patch-12         -> origin/shoumikhin-patch-12
2025-08-26T20:08:14.7811395Z  * [new branch]              simplify-fq-per-channel     -> origin/simplify-fq-per-channel
2025-08-26T20:08:14.7812007Z  * [new branch]              solve-accuracy-fix          -> origin/solve-accuracy-fix
2025-08-26T20:08:14.7812716Z  * [new branch]              sqzhang/flight4             -> origin/sqzhang/flight4
2025-08-26T20:08:14.7813339Z  * [new branch]              sqzhang/flight4plus         -> origin/sqzhang/flight4plus
2025-08-26T20:08:14.7814119Z  * [new branch]              sraikund/record_funct_test  -> origin/sraikund/record_funct_test
2025-08-26T20:08:14.7815043Z  * [new branch]              sraikund16/test             -> origin/sraikund16/test
2025-08-26T20:08:14.7815353Z  * [new branch]              stablize-compilation-time   -> origin/stablize-compilation-time
2025-08-26T20:08:14.7816015Z  * [new branch]              standalone-templates        -> origin/standalone-templates
2025-08-26T20:08:14.7816623Z  * [new branch]              standalone_package_weights  -> origin/standalone_package_weights
2025-08-26T20:08:14.7817078Z  * [new branch]              starterTaskUpdate           -> origin/starterTaskUpdate
2025-08-26T20:08:14.7817705Z  * [new branch]              subgraph_fuse               -> origin/subgraph_fuse
2025-08-26T20:08:14.7818481Z  * [new branch]              support-uv-in-collect_env   -> origin/support-uv-in-collect_env
2025-08-26T20:08:14.7819012Z  * [new branch]              sve-poc                     -> origin/sve-poc
2025-08-26T20:08:14.7819891Z  * [new branch]              svekars-patch-1             -> origin/svekars-patch-1
2025-08-26T20:08:14.7820432Z  * [new branch]              switch-bn                   -> origin/switch-bn
2025-08-26T20:08:14.7821095Z  * [new branch]              sympy-bottleneck-repro      -> origin/sympy-bottleneck-repro
2025-08-26T20:08:14.7821927Z  * [new branch]              tenpercent/ck_inductor_gfx950 -> origin/tenpercent/ck_inductor_gfx950
2025-08-26T20:08:14.7822487Z  * [new branch]              tensordict_integration      -> origin/tensordict_integration
2025-08-26T20:08:14.7823029Z  * [new branch]              test-7054                   -> origin/test-7054
2025-08-26T20:08:14.7823631Z  * [new branch]              test-half-migration-internally -> origin/test-half-migration-internally
2025-08-26T20:08:14.7824288Z  * [new branch]              test-move-conda-builds      -> origin/test-move-conda-builds
2025-08-26T20:08:14.7824875Z  * [new branch]              test-myst-markdown-docstring -> origin/test-myst-markdown-docstring
2025-08-26T20:08:14.7825348Z  * [new branch]              test-old                    -> origin/test-old
2025-08-26T20:08:14.7825975Z  * [new branch]              test-vec-migration-internally -> origin/test-vec-migration-internally
2025-08-26T20:08:14.7826671Z  * [new branch]              test/bmm_heur               -> origin/test/bmm_heur
2025-08-26T20:08:14.7827104Z  * [new branch]              test/inductor               -> origin/test/inductor
2025-08-26T20:08:14.7827991Z  * [new branch]              tianren/flex_paged_attn_fix -> origin/tianren/flex_paged_attn_fix
2025-08-26T20:08:14.7828582Z  * [new branch]              tidy_performance_cyy        -> origin/tidy_performance_cyy
2025-08-26T20:08:14.7829445Z  * [new branch]              torchtitan_ep               -> origin/torchtitan_ep
2025-08-26T20:08:14.7830058Z  * [new branch]              trace_fsdp_torchtune_lora   -> origin/trace_fsdp_torchtune_lora
2025-08-26T20:08:14.7830622Z  * [new branch]              traceable_fsdp_unit_tests   -> origin/traceable_fsdp_unit_tests
2025-08-26T20:08:14.7831231Z  * [new branch]              tree_loop_vec_base          -> origin/tree_loop_vec_base
2025-08-26T20:08:14.7831825Z  * [new branch]              tree_vec_base               -> origin/tree_vec_base
2025-08-26T20:08:14.7832435Z  * [new branch]              triton-update               -> origin/triton-update
2025-08-26T20:08:14.7833026Z  * [new branch]              triton_kernel               -> origin/triton_kernel
2025-08-26T20:08:14.7833423Z  * [new branch]              triton_kernel_perf          -> origin/triton_kernel_perf
2025-08-26T20:08:14.7834066Z  * [new branch]              try-runllm                  -> origin/try-runllm
2025-08-26T20:08:14.7834675Z  * [new branch]              tt_pkg_1908                 -> origin/tt_pkg_1908
2025-08-26T20:08:14.7835294Z  * [new branch]              tweak-transformer-dependabot -> origin/tweak-transformer-dependabot
2025-08-26T20:08:14.7835830Z  * [new branch]              type_dec                    -> origin/type_dec
2025-08-26T20:08:14.7836476Z  * [new branch]              udate-sphinx-dependancies   -> origin/udate-sphinx-dependancies
2025-08-26T20:08:14.7837507Z  * [new branch]              update-audio-commit-hash/16583472358-1693-1 -> origin/update-audio-commit-hash/16583472358-1693-1
2025-08-26T20:08:14.7837878Z  * [new branch]              update-audio-commit-hash/16663082088-1700-1 -> origin/update-audio-commit-hash/16663082088-1700-1
2025-08-26T20:08:14.7838496Z  * [new branch]              update-audio-commit-hash/16737365217-1704-1 -> origin/update-audio-commit-hash/16737365217-1704-1
2025-08-26T20:08:14.7838993Z  * [new branch]              update-audio-commit-hash/16791960928-1711-1 -> origin/update-audio-commit-hash/16791960928-1711-1
2025-08-26T20:08:14.7839605Z  * [new branch]              update-audio-commit-hash/16818882925-1712-1 -> origin/update-audio-commit-hash/16818882925-1712-1
2025-08-26T20:08:14.7840291Z  * [new branch]              update-audio-commit-hash/16895560422-1720-1 -> origin/update-audio-commit-hash/16895560422-1720-1
2025-08-26T20:08:14.7840981Z  * [new branch]              update-audio-commit-hash/16924174496-1738-1 -> origin/update-audio-commit-hash/16924174496-1738-1
2025-08-26T20:08:14.7842046Z  * [new branch]              update-audio-commit-hash/17002010821-1749-1 -> origin/update-audio-commit-hash/17002010821-1749-1
2025-08-26T20:08:14.7842336Z  * [new branch]              update-audio-commit-hash/17056004427-1766-1 -> origin/update-audio-commit-hash/17056004427-1766-1
2025-08-26T20:08:14.7843144Z  * [new branch]              update-audio-commit-hash/17085054029-1767-1 -> origin/update-audio-commit-hash/17085054029-1767-1
2025-08-26T20:08:14.7843445Z  * [new branch]              update-audio-commit-hash/17142507405-1771-1 -> origin/update-audio-commit-hash/17142507405-1771-1
2025-08-26T20:08:14.7843731Z  * [new branch]              update-audio-commit-hash/17168762740-1773-1 -> origin/update-audio-commit-hash/17168762740-1773-1
2025-08-26T20:08:14.7844102Z  * [new branch]              update-dynamic-shapes-doc   -> origin/update-dynamic-shapes-doc
2025-08-26T20:08:14.7845031Z  * [new branch]              update-executorch-commit-hash/15694981040-1626-1 -> origin/update-executorch-commit-hash/15694981040-1626-1
2025-08-26T20:08:14.7845797Z  * [new branch]              update-triton-commit-hash/13663274526-1487-2 -> origin/update-triton-commit-hash/13663274526-1487-2
2025-08-26T20:08:14.7846658Z  * [new branch]              update-vision-commit-hash/15336342773-1607-1 -> origin/update-vision-commit-hash/15336342773-1607-1
2025-08-26T20:08:14.7847553Z  * [new branch]              update-vllm-commit-hash/16545403308-1687-1 -> origin/update-vllm-commit-hash/16545403308-1687-1
2025-08-26T20:08:14.7847972Z  * [new branch]              update-vllm-commit-hash/16557202787-1688-1 -> origin/update-vllm-commit-hash/16557202787-1688-1
2025-08-26T20:08:14.7848457Z  * [new branch]              update-vllm-commit-hash/16583472358-1693-1 -> origin/update-vllm-commit-hash/16583472358-1693-1
2025-08-26T20:08:14.7848945Z  * [new branch]              update-vllm-commit-hash/16663082088-1700-1 -> origin/update-vllm-commit-hash/16663082088-1700-1
2025-08-26T20:08:14.7849419Z  * [new branch]              update-vllm-commit-hash/16737365217-1704-1 -> origin/update-vllm-commit-hash/16737365217-1704-1
2025-08-26T20:08:14.7850155Z  * [new branch]              update-vllm-commit-hash/16843157111-1713-1 -> origin/update-vllm-commit-hash/16843157111-1713-1
2025-08-26T20:08:14.7850839Z  * [new branch]              update-vllm-commit-hash/16855312394-1714-1 -> origin/update-vllm-commit-hash/16855312394-1714-1
2025-08-26T20:08:14.7851468Z  * [new branch]              update-vllm-commit-hash/16924174496-1738-1 -> origin/update-vllm-commit-hash/16924174496-1738-1
2025-08-26T20:08:14.7851897Z  * [new branch]              update-vllm-commit-hash/16952608705-1745-1 -> origin/update-vllm-commit-hash/16952608705-1745-1
2025-08-26T20:08:14.7852415Z  * [new branch]              update-vllm-commit-hash/16979836546-1748-1 -> origin/update-vllm-commit-hash/16979836546-1748-1
2025-08-26T20:08:14.7852960Z  * [new branch]              update-vllm-commit-hash/17014576881-1756-1 -> origin/update-vllm-commit-hash/17014576881-1756-1
2025-08-26T20:08:14.7853428Z  * [new branch]              update-vllm-commit-hash/17027830869-1761-1 -> origin/update-vllm-commit-hash/17027830869-1761-1
2025-08-26T20:08:14.7854046Z  * [new branch]              update-vllm-commit-hash/17056004427-1766-1 -> origin/update-vllm-commit-hash/17056004427-1766-1
2025-08-26T20:08:14.7854682Z  * [new branch]              update-vllm-commit-hash/17085054029-1767-1 -> origin/update-vllm-commit-hash/17085054029-1767-1
2025-08-26T20:08:14.7855131Z  * [new branch]              update-vllm-commit-hash/17113610216-1768-1 -> origin/update-vllm-commit-hash/17113610216-1768-1
2025-08-26T20:08:14.7855641Z  * [new branch]              update-vllm-commit-hash/17142507405-1771-1 -> origin/update-vllm-commit-hash/17142507405-1771-1
2025-08-26T20:08:14.7856384Z  * [new branch]              update-vllm-commit-hash/17181878974-1774-1 -> origin/update-vllm-commit-hash/17181878974-1774-1
2025-08-26T20:08:14.7857136Z  * [new branch]              update-xla-commit-hash/16260974441-194-1 -> origin/update-xla-commit-hash/16260974441-194-1
2025-08-26T20:08:14.7857507Z  * [new branch]              update-xla-commit-hash/16717126778-197-1 -> origin/update-xla-commit-hash/16717126778-197-1
2025-08-26T20:08:14.7858022Z  * [new branch]              update-xla-commit-hash/16873912760-198-1 -> origin/update-xla-commit-hash/16873912760-198-1
2025-08-26T20:08:14.7858481Z  * [new branch]              update-xla-commit-hash/17034266655-199-1 -> origin/update-xla-commit-hash/17034266655-199-1
2025-08-26T20:08:14.7858963Z  * [new branch]              update-xla-commit-hash/17202464405-200-1 -> origin/update-xla-commit-hash/17202464405-200-1
2025-08-26T20:08:14.7859668Z  * [new branch]              update_docs_torch_multinomial_issue#125388 -> origin/update_docs_torch_multinomial_issue#125388
2025-08-26T20:08:14.7860060Z  * [new branch]              update_executorch_pin       -> origin/update_executorch_pin
2025-08-26T20:08:14.7860692Z  * [new branch]              update_slow_tests_1722488736 -> origin/update_slow_tests_1722488736
2025-08-26T20:08:14.7861137Z  * [new branch]              update_slow_tests_1722879173 -> origin/update_slow_tests_1722879173
2025-08-26T20:08:14.7861757Z  * [new branch]              update_slow_tests_1752478971 -> origin/update_slow_tests_1752478971
2025-08-26T20:08:14.7862211Z  * [new branch]              update_slow_tests_1755502951 -> origin/update_slow_tests_1755502951
2025-08-26T20:08:14.7862928Z  * [new branch]              update_slow_tests_1756107664 -> origin/update_slow_tests_1756107664
2025-08-26T20:08:14.7863372Z  * [new branch]              update_submodule_FBGEMM     -> origin/update_submodule_FBGEMM
2025-08-26T20:08:14.7864129Z  * [new branch]              update_submodule_kineto     -> origin/update_submodule_kineto
2025-08-26T20:08:14.7864716Z  * [new branch]              update_submodule_tensorpipe -> origin/update_submodule_tensorpipe
2025-08-26T20:08:14.7865368Z  * [new branch]              v0.1.2                      -> origin/v0.1.2
2025-08-26T20:08:14.7866049Z  * [new branch]              v1.0.1                      -> origin/v1.0.1
2025-08-26T20:08:14.7866923Z  * [new branch]              v1.0.3                      -> origin/v1.0.3
2025-08-26T20:08:14.7867520Z  * [new branch]              v1.1.0                      -> origin/v1.1.0
2025-08-26T20:08:14.7868161Z  * [new branch]              v1.2.0                      -> origin/v1.2.0
2025-08-26T20:08:14.7868796Z  * [new branch]              v1.3.0                      -> origin/v1.3.0
2025-08-26T20:08:14.7869403Z  * [new branch]              v1.3.1                      -> origin/v1.3.1
2025-08-26T20:08:14.7870139Z  * [new branch]              validate_fn                 -> origin/validate_fn
2025-08-26T20:08:14.7870702Z  * [new branch]              validations_2.6             -> origin/validations_2.6
2025-08-26T20:08:14.7871271Z  * [new branch]              validations_2.8             -> origin/validations_2.8
2025-08-26T20:08:14.7872144Z  * [new branch]              viable/strict               -> origin/viable/strict
2025-08-26T20:08:14.7872781Z  * [new branch]              vllmbuildci                 -> origin/vllmbuildci
2025-08-26T20:08:14.7873391Z  * [new branch]              vllmpin                     -> origin/vllmpin
2025-08-26T20:08:14.7874294Z  * [new branch]              wdvr/conda_devcontainer     -> origin/wdvr/conda_devcontainer
2025-08-26T20:08:14.7874870Z  * [new branch]              wdvr/fix_logging_test       -> origin/wdvr/fix_logging_test
2025-08-26T20:08:14.7875275Z  * [new branch]              wdvr/iss_145259             -> origin/wdvr/iss_145259
2025-08-26T20:08:14.7875960Z  * [new branch]              weight_sharing_cpp          -> origin/weight_sharing_cpp
2025-08-26T20:08:14.7876849Z  * [new branch]              whc/flight4                 -> origin/whc/flight4
2025-08-26T20:08:14.7877396Z  * [new branch]              whc/flight51                -> origin/whc/flight51
2025-08-26T20:08:14.7877825Z  * [new branch]              whc/flight53                -> origin/whc/flight53
2025-08-26T20:08:14.7878427Z  * [new branch]              whc/p2phang                 -> origin/whc/p2phang
2025-08-26T20:08:14.7879044Z  * [new branch]              whc/stage2                  -> origin/whc/stage2
2025-08-26T20:08:14.7879396Z  * [new branch]              whc/uneven                  -> origin/whc/uneven
2025-08-26T20:08:14.7880278Z  * [new branch]              whc/uneven-merge            -> origin/whc/uneven-merge
2025-08-26T20:08:14.7880856Z  * [new branch]              win_warnings                -> origin/win_warnings
2025-08-26T20:08:14.7881379Z  * [new branch]              workonoldcommit             -> origin/workonoldcommit
2025-08-26T20:08:14.7882258Z  * [new branch]              wwen/programming-model-2.8  -> origin/wwen/programming-model-2.8
2025-08-26T20:08:14.7883015Z  * [new branch]              xmfan/ca_0516               -> origin/xmfan/ca_0516
2025-08-26T20:08:14.7883450Z  * [new branch]              xmfan/ca_1051b93192         -> origin/xmfan/ca_1051b93192
2025-08-26T20:08:14.7884018Z  * [new branch]              xmfan/ca_1a722f62c248391fc4a542e8851a5559aa356ae8 -> origin/xmfan/ca_1a722f62c248391fc4a542e8851a5559aa356ae8
2025-08-26T20:08:14.7884379Z  * [new branch]              xmfan/ca_5a2be192d1         -> origin/xmfan/ca_5a2be192d1
2025-08-26T20:08:14.7884935Z  * [new branch]              xmfan/ca_9d59b516e9         -> origin/xmfan/ca_9d59b516e9
2025-08-26T20:08:14.7885415Z  * [new branch]              xmfan/ca_api                -> origin/xmfan/ca_api
2025-08-26T20:08:14.7885966Z  * [new branch]              xmfan/ca_apr8               -> origin/xmfan/ca_apr8
2025-08-26T20:08:14.7886634Z  * [new branch]              xmfan/ca_base               -> origin/xmfan/ca_base
2025-08-26T20:08:14.7887328Z  * [new branch]              xmfan/ca_cudagraphs         -> origin/xmfan/ca_cudagraphs
2025-08-26T20:08:14.7887877Z  * [new branch]              xmfan/ca_dynamic            -> origin/xmfan/ca_dynamic
2025-08-26T20:08:14.7888312Z  * [new branch]              xmfan/ca_fix_dyn            -> origin/xmfan/ca_fix_dyn
2025-08-26T20:08:14.7888922Z  * [new branch]              xmfan/ca_fix_lowering       -> origin/xmfan/ca_fix_lowering
2025-08-26T20:08:14.7889356Z  * [new branch]              xmfan/ca_fix_polyfills      -> origin/xmfan/ca_fix_polyfills
2025-08-26T20:08:14.7889784Z  * [new branch]              xmfan/ca_jan3               -> origin/xmfan/ca_jan3
2025-08-26T20:08:14.7890496Z  * [new branch]              xmfan/ca_jun18              -> origin/xmfan/ca_jun18
2025-08-26T20:08:14.7891125Z  * [new branch]              xmfan/ca_jun24              -> origin/xmfan/ca_jun24
2025-08-26T20:08:14.7891547Z  * [new branch]              xmfan/ca_mem_base           -> origin/xmfan/ca_mem_base
2025-08-26T20:08:14.7892127Z  * [new branch]              xmfan/ca_mem_fix            -> origin/xmfan/ca_mem_fix
2025-08-26T20:08:14.7892560Z  * [new branch]              xmfan/ca_memory_fix         -> origin/xmfan/ca_memory_fix
2025-08-26T20:08:14.7893212Z  * [new branch]              xmfan/ca_memory_fix_rebased -> origin/xmfan/ca_memory_fix_rebased
2025-08-26T20:08:14.7893611Z  * [new branch]              xmfan/ca_memory_fix_rebased2 -> origin/xmfan/ca_memory_fix_rebased2
2025-08-26T20:08:14.7894202Z  * [new branch]              xmfan/ca_move_to_cuda       -> origin/xmfan/ca_move_to_cuda
2025-08-26T20:08:14.7894605Z  * [new branch]              xmfan/ca_nested             -> origin/xmfan/ca_nested
2025-08-26T20:08:14.7895166Z  * [new branch]              xmfan/ca_overhead           -> origin/xmfan/ca_overhead
2025-08-26T20:08:14.7895747Z  * [new branch]              xmfan/ca_overhead_0eba7e5451 -> origin/xmfan/ca_overhead_0eba7e5451
2025-08-26T20:08:14.7896109Z  * [new branch]              xmfan/ca_scalar             -> origin/xmfan/ca_scalar
2025-08-26T20:08:14.7896719Z  * [new branch]              xmfan/ca_subclass_mem_fix   -> origin/xmfan/ca_subclass_mem_fix
2025-08-26T20:08:14.7897147Z  * [new branch]              xmfan/ca_warm_mem           -> origin/xmfan/ca_warm_mem
2025-08-26T20:08:14.7897843Z  * [new branch]              xmfan/ca_warm_mem_base      -> origin/xmfan/ca_warm_mem_base
2025-08-26T20:08:14.7898264Z  * [new branch]              xmfan/cacu_jun18            -> origin/xmfan/cacu_jun18
2025-08-26T20:08:14.7898847Z  * [new branch]              xmfan/cacu_jun19            -> origin/xmfan/cacu_jun19
2025-08-26T20:08:14.7899398Z  * [new branch]              xmfan/cacu_jun4             -> origin/xmfan/cacu_jun4
2025-08-26T20:08:14.7899833Z  * [new branch]              xmfan/cacu_may27            -> origin/xmfan/cacu_may27
2025-08-26T20:08:14.7900714Z  * [new branch]              xmfan/circular_dep          -> origin/xmfan/circular_dep
2025-08-26T20:08:14.7901187Z  * [new branch]              xmfan/compiled_autograd_feb_29 -> origin/xmfan/compiled_autograd_feb_29
2025-08-26T20:08:14.7901774Z  * [new branch]              xmfan/disable_duck_shape    -> origin/xmfan/disable_duck_shape
2025-08-26T20:08:14.7902216Z  * [new branch]              xmfan/fca_cpp_node_passthrough -> origin/xmfan/fca_cpp_node_passthrough
2025-08-26T20:08:14.7902767Z  * [new branch]              xmfan/issue_123374          -> origin/xmfan/issue_123374
2025-08-26T20:08:14.7903437Z  * [new branch]              xmfan/post_3945954741e2d37023c5d6954f9483008e0892f9 -> origin/xmfan/post_3945954741e2d37023c5d6954f9483008e0892f9
2025-08-26T20:08:14.7903876Z  * [new branch]              xmfan/pre_3945954741e2d37023c5d6954f9483008e0892f9 -> origin/xmfan/pre_3945954741e2d37023c5d6954f9483008e0892f9
2025-08-26T20:08:14.7904290Z  * [new branch]              xmfan/segfault_test         -> origin/xmfan/segfault_test
2025-08-26T20:08:14.7904883Z  * [new branch]              xmfan/single_step           -> origin/xmfan/single_step
2025-08-26T20:08:14.7905283Z  * [new branch]              xmfan/sth_0829              -> origin/xmfan/sth_0829
2025-08-26T20:08:14.7906039Z  * [new branch]              xmfan/test                  -> origin/xmfan/test
2025-08-26T20:08:14.7906953Z  * [new branch]              yguo/debug-0226-constexpr   -> origin/yguo/debug-0226-constexpr
2025-08-26T20:08:14.7907310Z  * [new branch]              yguo/new_latest_changes     -> origin/yguo/new_latest_changes
2025-08-26T20:08:14.7907964Z  * [new branch]              yguo/patch_constexpr_changes -> origin/yguo/patch_constexpr_changes
2025-08-26T20:08:14.7908555Z  * [new branch]              yihan_quantization          -> origin/yihan_quantization
2025-08-26T20:08:14.7909345Z  * [new branch]              yiming/add_jit_trace_benchmark -> origin/yiming/add_jit_trace_benchmark
2025-08-26T20:08:14.7909732Z  * [new branch]              yiming/add_nativert_benchmark -> origin/yiming/add_nativert_benchmark
2025-08-26T20:08:14.7910286Z  * [new branch]              yiming/bootcamp             -> origin/yiming/bootcamp
2025-08-26T20:08:14.7911006Z  * [new branch]              zainr/canary-test           -> origin/zainr/canary-test
2025-08-26T20:08:14.7911634Z  * [new branch]              zainr/cleanup-gh-runners    -> origin/zainr/cleanup-gh-runners
2025-08-26T20:08:14.7912201Z  * [new branch]              zainr/git-push-v2           -> origin/zainr/git-push-v2
2025-08-26T20:08:14.7912522Z  * [new branch]              zainr/pull-migration-c      -> origin/zainr/pull-migration-c
2025-08-26T20:08:14.7912947Z  * [new branch]              zainr/test2                 -> origin/zainr/test2
2025-08-26T20:08:14.7913524Z  * [new branch]              zainr/unstable              -> origin/zainr/unstable
2025-08-26T20:08:14.7913902Z  * [new branch]              zainr/unstable-xla          -> origin/zainr/unstable-xla
2025-08-26T20:08:14.7914578Z  * [new branch]              zainr/uv-pip-fix            -> origin/zainr/uv-pip-fix
2025-08-26T20:08:14.7915345Z  * [new branch]              zainr/vs-aarch64            -> origin/zainr/vs-aarch64
2025-08-26T20:08:14.7916104Z  * [new branch]              zasdfgbnm-patch-3           -> origin/zasdfgbnm-patch-3
2025-08-26T20:08:14.7916680Z  * [new branch]              zb2p                        -> origin/zb2p
2025-08-26T20:08:14.7917303Z  * [new branch]              zdevito-patch-1             -> origin/zdevito-patch-1
2025-08-26T20:08:14.7917902Z  * [new branch]              zero_grad_optimization      -> origin/zero_grad_optimization
2025-08-26T20:08:14.7918505Z  * [new branch]              zeros-and-scatter-part2     -> origin/zeros-and-scatter-part2
2025-08-26T20:08:14.7919697Z  * [new branch]              zhxchen17/scratch/0         -> origin/zhxchen17/scratch/0
2025-08-26T20:08:14.7920482Z  * [new branch]              zhxhcen17/moodycamel        -> origin/zhxhcen17/moodycamel
2025-08-26T20:08:14.7921244Z  * [new branch]              zxiiro/main                 -> origin/zxiiro/main
2025-08-26T20:08:14.7921720Z  * [new branch]              zxiiro/test                 -> origin/zxiiro/test
2025-08-26T20:08:14.7922492Z  * [new tag]                 bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug -> bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug
2025-08-26T20:08:14.7922799Z  * [new tag]                 ci/binaries/77164           -> ci/binaries/77164
2025-08-26T20:08:14.7923510Z  * [new tag]                 ciflow/binaries/153920      -> ciflow/binaries/153920
2025-08-26T20:08:14.7923784Z  * [new tag]                 ciflow/binaries/158104      -> ciflow/binaries/158104
2025-08-26T20:08:14.7924177Z  * [new tag]                 ciflow/binaries/160229      -> ciflow/binaries/160229
2025-08-26T20:08:14.7924539Z  * [new tag]                 ciflow/binaries/160853      -> ciflow/binaries/160853
2025-08-26T20:08:14.7924868Z  * [new tag]                 ciflow/binaries/161257      -> ciflow/binaries/161257
2025-08-26T20:08:14.7925592Z  * [new tag]                 ciflow/binaries_libtorch/156049 -> ciflow/binaries_libtorch/156049
2025-08-26T20:08:14.7925875Z  * [new tag]                 ciflow/binaries_wheel/156049 -> ciflow/binaries_wheel/156049
2025-08-26T20:08:14.7926290Z  * [new tag]                 ciflow/binaries_wheel/158733 -> ciflow/binaries_wheel/158733
2025-08-26T20:08:14.7926894Z  * [new tag]                 ciflow/binaries_wheel/160207 -> ciflow/binaries_wheel/160207
2025-08-26T20:08:14.7927195Z  * [new tag]                 ciflow/h100-symm-mem/151845 -> ciflow/h100-symm-mem/151845
2025-08-26T20:08:14.7927551Z  * [new tag]                 ciflow/h100-symm-mem/155923 -> ciflow/h100-symm-mem/155923
2025-08-26T20:08:14.7927859Z  * [new tag]                 ciflow/h100-symm-mem/157635 -> ciflow/h100-symm-mem/157635
2025-08-26T20:08:14.7928398Z  * [new tag]                 ciflow/h100-symm-mem/159562 -> ciflow/h100-symm-mem/159562
2025-08-26T20:08:14.7928617Z  * [new tag]                 ciflow/h100-symm-mem/159889 -> ciflow/h100-symm-mem/159889
2025-08-26T20:08:14.7928948Z  * [new tag]                 ciflow/h100-symm-mem/160825 -> ciflow/h100-symm-mem/160825
2025-08-26T20:08:14.7929303Z  * [new tag]                 ciflow/h100-symm-mem/161008 -> ciflow/h100-symm-mem/161008
2025-08-26T20:08:14.7929602Z  * [new tag]                 ciflow/h100-symm-mem/161090 -> ciflow/h100-symm-mem/161090
2025-08-26T20:08:14.7929987Z  * [new tag]                 ciflow/h100-symm-mem/161214 -> ciflow/h100-symm-mem/161214
2025-08-26T20:08:14.7930214Z  * [new tag]                 ciflow/h100-symm-mem/161217 -> ciflow/h100-symm-mem/161217
2025-08-26T20:08:14.7930522Z  * [new tag]                 ciflow/h100-symm-mem/161232 -> ciflow/h100-symm-mem/161232
2025-08-26T20:08:14.7931106Z  * [new tag]                 ciflow/h100-symm-mem/161257 -> ciflow/h100-symm-mem/161257
2025-08-26T20:08:14.7931540Z  * [new tag]                 ciflow/h100-symm-mem/161309 -> ciflow/h100-symm-mem/161309
2025-08-26T20:08:14.7931932Z  * [new tag]                 ciflow/h100-symm-mem/161470 -> ciflow/h100-symm-mem/161470
2025-08-26T20:08:14.7932309Z  * [new tag]                 ciflow/h100-symm-mem/161471 -> ciflow/h100-symm-mem/161471
2025-08-26T20:08:14.7932658Z  * [new tag]                 ciflow/h100-symm-mem/161532 -> ciflow/h100-symm-mem/161532
2025-08-26T20:08:14.7932952Z  * [new tag]                 ciflow/h100-symm-mem/161533 -> ciflow/h100-symm-mem/161533
2025-08-26T20:08:14.7933512Z  * [new tag]                 ciflow/h100/159158          -> ciflow/h100/159158
2025-08-26T20:08:14.7933659Z  * [new tag]                 ciflow/h100/161225          -> ciflow/h100/161225
2025-08-26T20:08:14.7934374Z  * [new tag]                 ciflow/inductor-perf-test-nightly-rocm/151845 -> ciflow/inductor-perf-test-nightly-rocm/151845
2025-08-26T20:08:14.7934725Z  * [new tag]                 ciflow/inductor-perf-test-nightly-x86-zen/161512 -> ciflow/inductor-perf-test-nightly-x86-zen/161512
2025-08-26T20:08:14.7935373Z  * [new tag]                 ciflow/inductor-periodic/158137 -> ciflow/inductor-periodic/158137
2025-08-26T20:08:14.7935574Z  * [new tag]                 ciflow/inductor-periodic/160807 -> ciflow/inductor-periodic/160807
2025-08-26T20:08:14.7935898Z  * [new tag]                 ciflow/inductor-periodic/161461 -> ciflow/inductor-periodic/161461
2025-08-26T20:08:14.7936197Z  * [new tag]                 ciflow/inductor-periodic/161536 -> ciflow/inductor-periodic/161536
2025-08-26T20:08:14.7936984Z  * [new tag]                 ciflow/inductor-periodic/2f0de0ff9361ca4f2b1e6f9edbc600b5fb6abcd6 -> ciflow/inductor-periodic/2f0de0ff9361ca4f2b1e6f9edbc600b5fb6abcd6
2025-08-26T20:08:14.7937506Z  * [new tag]                 ciflow/inductor-periodic/3e5b021f217a42ae55dc690083f67a28126808ed -> ciflow/inductor-periodic/3e5b021f217a42ae55dc690083f67a28126808ed
2025-08-26T20:08:14.7938025Z  * [new tag]                 ciflow/inductor-periodic/f912c93344caa74e24c8164a2e25fe84a8203073 -> ciflow/inductor-periodic/f912c93344caa74e24c8164a2e25fe84a8203073
2025-08-26T20:08:14.7938274Z  * [new tag]                 ciflow/inductor-rocm/151845 -> ciflow/inductor-rocm/151845
2025-08-26T20:08:14.7938874Z  * [new tag]                 ciflow/inductor-rocm/159158 -> ciflow/inductor-rocm/159158
2025-08-26T20:08:14.7939090Z  * [new tag]                 ciflow/inductor-rocm/160671 -> ciflow/inductor-rocm/160671
2025-08-26T20:08:14.7939520Z  * [new tag]                 ciflow/inductor-rocm/161180 -> ciflow/inductor-rocm/161180
2025-08-26T20:08:14.7939749Z  * [new tag]                 ciflow/inductor-rocm/161225 -> ciflow/inductor-rocm/161225
2025-08-26T20:08:14.7940273Z  * [new tag]                 ciflow/inductor-rocm/161521 -> ciflow/inductor-rocm/161521
2025-08-26T20:08:14.7940743Z  * [new tag]                 ciflow/inductor-windows/160406 -> ciflow/inductor-windows/160406
2025-08-26T20:08:14.7941131Z  * [new tag]                 ciflow/inductor/148492      -> ciflow/inductor/148492
2025-08-26T20:08:14.7941474Z  * [new tag]                 ciflow/inductor/151845      -> ciflow/inductor/151845
2025-08-26T20:08:14.7941758Z  * [new tag]                 ciflow/inductor/154694      -> ciflow/inductor/154694
2025-08-26T20:08:14.7942103Z  * [new tag]                 ciflow/inductor/155072      -> ciflow/inductor/155072
2025-08-26T20:08:14.7942398Z  * [new tag]                 ciflow/inductor/155152      -> ciflow/inductor/155152
2025-08-26T20:08:14.7942838Z  * [new tag]                 ciflow/inductor/155153      -> ciflow/inductor/155153
2025-08-26T20:08:14.7943032Z  * [new tag]                 ciflow/inductor/155154      -> ciflow/inductor/155154
2025-08-26T20:08:14.7943385Z  * [new tag]                 ciflow/inductor/155501      -> ciflow/inductor/155501
2025-08-26T20:08:14.7943662Z  * [new tag]                 ciflow/inductor/155502      -> ciflow/inductor/155502
2025-08-26T20:08:14.7943989Z  * [new tag]                 ciflow/inductor/155503      -> ciflow/inductor/155503
2025-08-26T20:08:14.7944401Z  * [new tag]                 ciflow/inductor/155557      -> ciflow/inductor/155557
2025-08-26T20:08:14.7944941Z  * [new tag]                 ciflow/inductor/155608      -> ciflow/inductor/155608
2025-08-26T20:08:14.7945258Z  * [new tag]                 ciflow/inductor/155923      -> ciflow/inductor/155923
2025-08-26T20:08:14.7945739Z  * [new tag]                 ciflow/inductor/155928      -> ciflow/inductor/155928
2025-08-26T20:08:14.7946313Z  * [new tag]                 ciflow/inductor/156875      -> ciflow/inductor/156875
2025-08-26T20:08:14.7946541Z  * [new tag]                 ciflow/inductor/156967      -> ciflow/inductor/156967
2025-08-26T20:08:14.7946891Z  * [new tag]                 ciflow/inductor/157298      -> ciflow/inductor/157298
2025-08-26T20:08:14.7947257Z  * [new tag]                 ciflow/inductor/157572      -> ciflow/inductor/157572
2025-08-26T20:08:14.7947577Z  * [new tag]                 ciflow/inductor/157635      -> ciflow/inductor/157635
2025-08-26T20:08:14.7947964Z  * [new tag]                 ciflow/inductor/157743      -> ciflow/inductor/157743
2025-08-26T20:08:14.7948558Z  * [new tag]                 ciflow/inductor/157767      -> ciflow/inductor/157767
2025-08-26T20:08:14.7948891Z  * [new tag]                 ciflow/inductor/157944      -> ciflow/inductor/157944
2025-08-26T20:08:14.7949222Z  * [new tag]                 ciflow/inductor/158061      -> ciflow/inductor/158061
2025-08-26T20:08:14.7949597Z  * [new tag]                 ciflow/inductor/158097      -> ciflow/inductor/158097
2025-08-26T20:08:14.7949893Z  * [new tag]                 ciflow/inductor/158098      -> ciflow/inductor/158098
2025-08-26T20:08:14.7950240Z  * [new tag]                 ciflow/inductor/158104      -> ciflow/inductor/158104
2025-08-26T20:08:14.7950579Z  * [new tag]                 ciflow/inductor/158137      -> ciflow/inductor/158137
2025-08-26T20:08:14.7950934Z  * [new tag]                 ciflow/inductor/158321      -> ciflow/inductor/158321
2025-08-26T20:08:14.7951218Z  * [new tag]                 ciflow/inductor/158609      -> ciflow/inductor/158609
2025-08-26T20:08:14.7951768Z  * [new tag]                 ciflow/inductor/158932      -> ciflow/inductor/158932
2025-08-26T20:08:14.7952059Z  * [new tag]                 ciflow/inductor/159003      -> ciflow/inductor/159003
2025-08-26T20:08:14.7952368Z  * [new tag]                 ciflow/inductor/159158      -> ciflow/inductor/159158
2025-08-26T20:08:14.7952932Z  * [new tag]                 ciflow/inductor/159274      -> ciflow/inductor/159274
2025-08-26T20:08:14.7953148Z  * [new tag]                 ciflow/inductor/159387      -> ciflow/inductor/159387
2025-08-26T20:08:14.7953528Z  * [new tag]                 ciflow/inductor/159473      -> ciflow/inductor/159473
2025-08-26T20:08:14.7953835Z  * [new tag]                 ciflow/inductor/159664      -> ciflow/inductor/159664
2025-08-26T20:08:14.7954373Z  * [new tag]                 ciflow/inductor/159778      -> ciflow/inductor/159778
2025-08-26T20:08:14.7954655Z  * [new tag]                 ciflow/inductor/159786      -> ciflow/inductor/159786
2025-08-26T20:08:14.7954968Z  * [new tag]                 ciflow/inductor/159835      -> ciflow/inductor/159835
2025-08-26T20:08:14.7955324Z  * [new tag]                 ciflow/inductor/159889      -> ciflow/inductor/159889
2025-08-26T20:08:14.7955732Z  * [new tag]                 ciflow/inductor/159923      -> ciflow/inductor/159923
2025-08-26T20:08:14.7956324Z  * [new tag]                 ciflow/inductor/159944      -> ciflow/inductor/159944
2025-08-26T20:08:14.7956596Z  * [new tag]                 ciflow/inductor/160080      -> ciflow/inductor/160080
2025-08-26T20:08:14.7957131Z  * [new tag]                 ciflow/inductor/160111      -> ciflow/inductor/160111
2025-08-26T20:08:14.7957762Z  * [new tag]                 ciflow/inductor/160138      -> ciflow/inductor/160138
2025-08-26T20:08:14.7958044Z  * [new tag]                 ciflow/inductor/160156      -> ciflow/inductor/160156
2025-08-26T20:08:14.7958451Z  * [new tag]                 ciflow/inductor/160180      -> ciflow/inductor/160180
2025-08-26T20:08:14.7958940Z  * [new tag]                 ciflow/inductor/160198      -> ciflow/inductor/160198
2025-08-26T20:08:14.7959309Z  * [new tag]                 ciflow/inductor/160258      -> ciflow/inductor/160258
2025-08-26T20:08:14.7959882Z  * [new tag]                 ciflow/inductor/160266      -> ciflow/inductor/160266
2025-08-26T20:08:14.7960083Z  * [new tag]                 ciflow/inductor/160282      -> ciflow/inductor/160282
2025-08-26T20:08:14.7960636Z  * [new tag]                 ciflow/inductor/160323      -> ciflow/inductor/160323
2025-08-26T20:08:14.7961182Z  * [new tag]                 ciflow/inductor/160324      -> ciflow/inductor/160324
2025-08-26T20:08:14.7961572Z  * [new tag]                 ciflow/inductor/160325      -> ciflow/inductor/160325
2025-08-26T20:08:14.7962109Z  * [new tag]                 ciflow/inductor/160326      -> ciflow/inductor/160326
2025-08-26T20:08:14.7962427Z  * [new tag]                 ciflow/inductor/160327      -> ciflow/inductor/160327
2025-08-26T20:08:14.7962791Z  * [new tag]                 ciflow/inductor/160328      -> ciflow/inductor/160328
2025-08-26T20:08:14.7963204Z  * [new tag]                 ciflow/inductor/160329      -> ciflow/inductor/160329
2025-08-26T20:08:14.7963770Z  * [new tag]                 ciflow/inductor/160431      -> ciflow/inductor/160431
2025-08-26T20:08:14.7964062Z  * [new tag]                 ciflow/inductor/160448      -> ciflow/inductor/160448
2025-08-26T20:08:14.7964375Z  * [new tag]                 ciflow/inductor/160449      -> ciflow/inductor/160449
2025-08-26T20:08:14.7964733Z  * [new tag]                 ciflow/inductor/160467      -> ciflow/inductor/160467
2025-08-26T20:08:14.7965097Z  * [new tag]                 ciflow/inductor/160470      -> ciflow/inductor/160470
2025-08-26T20:08:14.7965445Z  * [new tag]                 ciflow/inductor/160483      -> ciflow/inductor/160483
2025-08-26T20:08:14.7965729Z  * [new tag]                 ciflow/inductor/160527      -> ciflow/inductor/160527
2025-08-26T20:08:14.7966501Z  * [new tag]                 ciflow/inductor/160532      -> ciflow/inductor/160532
2025-08-26T20:08:14.7967333Z  * [new tag]                 ciflow/inductor/160539      -> ciflow/inductor/160539
2025-08-26T20:08:14.7967561Z  * [new tag]                 ciflow/inductor/160580      -> ciflow/inductor/160580
2025-08-26T20:08:14.7967940Z  * [new tag]                 ciflow/inductor/160601      -> ciflow/inductor/160601
2025-08-26T20:08:14.7968283Z  * [new tag]                 ciflow/inductor/160611      -> ciflow/inductor/160611
2025-08-26T20:08:14.7968608Z  * [new tag]                 ciflow/inductor/160669      -> ciflow/inductor/160669
2025-08-26T20:08:14.7968912Z  * [new tag]                 ciflow/inductor/160670      -> ciflow/inductor/160670
2025-08-26T20:08:14.7969255Z  * [new tag]                 ciflow/inductor/160671      -> ciflow/inductor/160671
2025-08-26T20:08:14.7969809Z  * [new tag]                 ciflow/inductor/160677      -> ciflow/inductor/160677
2025-08-26T20:08:14.7970116Z  * [new tag]                 ciflow/inductor/160690      -> ciflow/inductor/160690
2025-08-26T20:08:14.7970516Z  * [new tag]                 ciflow/inductor/160763      -> ciflow/inductor/160763
2025-08-26T20:08:14.7970806Z  * [new tag]                 ciflow/inductor/160772      -> ciflow/inductor/160772
2025-08-26T20:08:14.7971367Z  * [new tag]                 ciflow/inductor/160798      -> ciflow/inductor/160798
2025-08-26T20:08:14.7971856Z  * [new tag]                 ciflow/inductor/160807      -> ciflow/inductor/160807
2025-08-26T20:08:14.7972135Z  * [new tag]                 ciflow/inductor/160836      -> ciflow/inductor/160836
2025-08-26T20:08:14.7972446Z  * [new tag]                 ciflow/inductor/160861      -> ciflow/inductor/160861
2025-08-26T20:08:14.7972790Z  * [new tag]                 ciflow/inductor/160883      -> ciflow/inductor/160883
2025-08-26T20:08:14.7973171Z  * [new tag]                 ciflow/inductor/160888      -> ciflow/inductor/160888
2025-08-26T20:08:14.7973469Z  * [new tag]                 ciflow/inductor/160903      -> ciflow/inductor/160903
2025-08-26T20:08:14.7973863Z  * [new tag]                 ciflow/inductor/160913      -> ciflow/inductor/160913
2025-08-26T20:08:14.7974167Z  * [new tag]                 ciflow/inductor/160941      -> ciflow/inductor/160941
2025-08-26T20:08:14.7974525Z  * [new tag]                 ciflow/inductor/160943      -> ciflow/inductor/160943
2025-08-26T20:08:14.7974853Z  * [new tag]                 ciflow/inductor/160991      -> ciflow/inductor/160991
2025-08-26T20:08:14.7975446Z  * [new tag]                 ciflow/inductor/160997      -> ciflow/inductor/160997
2025-08-26T20:08:14.7975671Z  * [new tag]                 ciflow/inductor/161003      -> ciflow/inductor/161003
2025-08-26T20:08:14.7976079Z  * [new tag]                 ciflow/inductor/161026      -> ciflow/inductor/161026
2025-08-26T20:08:14.7976433Z  * [new tag]                 ciflow/inductor/161032      -> ciflow/inductor/161032
2025-08-26T20:08:14.7977016Z  * [new tag]                 ciflow/inductor/161040      -> ciflow/inductor/161040
2025-08-26T20:08:14.7977234Z  * [new tag]                 ciflow/inductor/161055      -> ciflow/inductor/161055
2025-08-26T20:08:14.7977571Z  * [new tag]                 ciflow/inductor/161062      -> ciflow/inductor/161062
2025-08-26T20:08:14.7977920Z  * [new tag]                 ciflow/inductor/161069      -> ciflow/inductor/161069
2025-08-26T20:08:14.7978271Z  * [new tag]                 ciflow/inductor/161092      -> ciflow/inductor/161092
2025-08-26T20:08:14.7978574Z  * [new tag]                 ciflow/inductor/161093      -> ciflow/inductor/161093
2025-08-26T20:08:14.7978912Z  * [new tag]                 ciflow/inductor/161097      -> ciflow/inductor/161097
2025-08-26T20:08:14.7979236Z  * [new tag]                 ciflow/inductor/161098      -> ciflow/inductor/161098
2025-08-26T20:08:14.7979591Z  * [new tag]                 ciflow/inductor/161100      -> ciflow/inductor/161100
2025-08-26T20:08:14.7980004Z  * [new tag]                 ciflow/inductor/161107      -> ciflow/inductor/161107
2025-08-26T20:08:14.7980608Z  * [new tag]                 ciflow/inductor/161110      -> ciflow/inductor/161110
2025-08-26T20:08:14.7980850Z  * [new tag]                 ciflow/inductor/161117      -> ciflow/inductor/161117
2025-08-26T20:08:14.7981228Z  * [new tag]                 ciflow/inductor/161118      -> ciflow/inductor/161118
2025-08-26T20:08:14.7981610Z  * [new tag]                 ciflow/inductor/161123      -> ciflow/inductor/161123
2025-08-26T20:08:14.7982002Z  * [new tag]                 ciflow/inductor/161124      -> ciflow/inductor/161124
2025-08-26T20:08:14.7982557Z  * [new tag]                 ciflow/inductor/161125      -> ciflow/inductor/161125
2025-08-26T20:08:14.7983202Z  * [new tag]                 ciflow/inductor/161126      -> ciflow/inductor/161126
2025-08-26T20:08:14.7983541Z  * [new tag]                 ciflow/inductor/161144      -> ciflow/inductor/161144
2025-08-26T20:08:14.7983946Z  * [new tag]                 ciflow/inductor/161148      -> ciflow/inductor/161148
2025-08-26T20:08:14.7984307Z  * [new tag]                 ciflow/inductor/161158      -> ciflow/inductor/161158
2025-08-26T20:08:14.7984716Z  * [new tag]                 ciflow/inductor/161178      -> ciflow/inductor/161178
2025-08-26T20:08:14.7985043Z  * [new tag]                 ciflow/inductor/161190      -> ciflow/inductor/161190
2025-08-26T20:08:14.7985417Z  * [new tag]                 ciflow/inductor/161208      -> ciflow/inductor/161208
2025-08-26T20:08:14.7985821Z  * [new tag]                 ciflow/inductor/161225      -> ciflow/inductor/161225
2025-08-26T20:08:14.7986172Z  * [new tag]                 ciflow/inductor/161229      -> ciflow/inductor/161229
2025-08-26T20:08:14.7986568Z  * [new tag]                 ciflow/inductor/161237      -> ciflow/inductor/161237
2025-08-26T20:08:14.7986909Z  * [new tag]                 ciflow/inductor/161241      -> ciflow/inductor/161241
2025-08-26T20:08:14.7987346Z  * [new tag]                 ciflow/inductor/161246      -> ciflow/inductor/161246
2025-08-26T20:08:14.7987713Z  * [new tag]                 ciflow/inductor/161274      -> ciflow/inductor/161274
2025-08-26T20:08:14.7988148Z  * [new tag]                 ciflow/inductor/161278      -> ciflow/inductor/161278
2025-08-26T20:08:14.7988546Z  * [new tag]                 ciflow/inductor/161279      -> ciflow/inductor/161279
2025-08-26T20:08:14.7988905Z  * [new tag]                 ciflow/inductor/161288      -> ciflow/inductor/161288
2025-08-26T20:08:14.7989345Z  * [new tag]                 ciflow/inductor/161314      -> ciflow/inductor/161314
2025-08-26T20:08:14.7989718Z  * [new tag]                 ciflow/inductor/161320      -> ciflow/inductor/161320
2025-08-26T20:08:14.7990054Z  * [new tag]                 ciflow/inductor/161336      -> ciflow/inductor/161336
2025-08-26T20:08:14.7990401Z  * [new tag]                 ciflow/inductor/161337      -> ciflow/inductor/161337
2025-08-26T20:08:14.7990724Z  * [new tag]                 ciflow/inductor/161338      -> ciflow/inductor/161338
2025-08-26T20:08:14.7991065Z  * [new tag]                 ciflow/inductor/161339      -> ciflow/inductor/161339
2025-08-26T20:08:14.7991405Z  * [new tag]                 ciflow/inductor/161340      -> ciflow/inductor/161340
2025-08-26T20:08:14.7991743Z  * [new tag]                 ciflow/inductor/161341      -> ciflow/inductor/161341
2025-08-26T20:08:14.7992103Z  * [new tag]                 ciflow/inductor/161342      -> ciflow/inductor/161342
2025-08-26T20:08:14.7992432Z  * [new tag]                 ciflow/inductor/161343      -> ciflow/inductor/161343
2025-08-26T20:08:14.7992828Z  * [new tag]                 ciflow/inductor/161344      -> ciflow/inductor/161344
2025-08-26T20:08:14.7993185Z  * [new tag]                 ciflow/inductor/161345      -> ciflow/inductor/161345
2025-08-26T20:08:14.7993765Z  * [new tag]                 ciflow/inductor/161346      -> ciflow/inductor/161346
2025-08-26T20:08:14.7994006Z  * [new tag]                 ciflow/inductor/161347      -> ciflow/inductor/161347
2025-08-26T20:08:14.7994417Z  * [new tag]                 ciflow/inductor/161348      -> ciflow/inductor/161348
2025-08-26T20:08:14.7994747Z  * [new tag]                 ciflow/inductor/161349      -> ciflow/inductor/161349
2025-08-26T20:08:14.7995068Z  * [new tag]                 ciflow/inductor/161350      -> ciflow/inductor/161350
2025-08-26T20:08:14.7995423Z  * [new tag]                 ciflow/inductor/161351      -> ciflow/inductor/161351
2025-08-26T20:08:14.7995759Z  * [new tag]                 ciflow/inductor/161353      -> ciflow/inductor/161353
2025-08-26T20:08:14.7996109Z  * [new tag]                 ciflow/inductor/161354      -> ciflow/inductor/161354
2025-08-26T20:08:14.7996447Z  * [new tag]                 ciflow/inductor/161355      -> ciflow/inductor/161355
2025-08-26T20:08:14.7996780Z  * [new tag]                 ciflow/inductor/161362      -> ciflow/inductor/161362
2025-08-26T20:08:14.7997138Z  * [new tag]                 ciflow/inductor/161363      -> ciflow/inductor/161363
2025-08-26T20:08:14.7997510Z  * [new tag]                 ciflow/inductor/161382      -> ciflow/inductor/161382
2025-08-26T20:08:14.7997860Z  * [new tag]                 ciflow/inductor/161383      -> ciflow/inductor/161383
2025-08-26T20:08:14.7998168Z  * [new tag]                 ciflow/inductor/161385      -> ciflow/inductor/161385
2025-08-26T20:08:14.7998526Z  * [new tag]                 ciflow/inductor/161396      -> ciflow/inductor/161396
2025-08-26T20:08:14.7998932Z  * [new tag]                 ciflow/inductor/161397      -> ciflow/inductor/161397
2025-08-26T20:08:14.7999310Z  * [new tag]                 ciflow/inductor/161404      -> ciflow/inductor/161404
2025-08-26T20:08:14.7999630Z  * [new tag]                 ciflow/inductor/161405      -> ciflow/inductor/161405
2025-08-26T20:08:14.7999936Z  * [new tag]                 ciflow/inductor/161406      -> ciflow/inductor/161406
2025-08-26T20:08:14.8000492Z  * [new tag]                 ciflow/inductor/161409      -> ciflow/inductor/161409
2025-08-26T20:08:14.8000864Z  * [new tag]                 ciflow/inductor/161410      -> ciflow/inductor/161410
2025-08-26T20:08:14.8001221Z  * [new tag]                 ciflow/inductor/161414      -> ciflow/inductor/161414
2025-08-26T20:08:14.8001585Z  * [new tag]                 ciflow/inductor/161416      -> ciflow/inductor/161416
2025-08-26T20:08:14.8001945Z  * [new tag]                 ciflow/inductor/161420      -> ciflow/inductor/161420
2025-08-26T20:08:14.8002315Z  * [new tag]                 ciflow/inductor/161431      -> ciflow/inductor/161431
2025-08-26T20:08:14.8002633Z  * [new tag]                 ciflow/inductor/161435      -> ciflow/inductor/161435
2025-08-26T20:08:14.8003043Z  * [new tag]                 ciflow/inductor/161440      -> ciflow/inductor/161440
2025-08-26T20:08:14.8003413Z  * [new tag]                 ciflow/inductor/161447      -> ciflow/inductor/161447
2025-08-26T20:08:14.8003736Z  * [new tag]                 ciflow/inductor/161452      -> ciflow/inductor/161452
2025-08-26T20:08:14.8004100Z  * [new tag]                 ciflow/inductor/161453      -> ciflow/inductor/161453
2025-08-26T20:08:14.8004657Z  * [new tag]                 ciflow/inductor/161458      -> ciflow/inductor/161458
2025-08-26T20:08:14.8004929Z  * [new tag]                 ciflow/inductor/161461      -> ciflow/inductor/161461
2025-08-26T20:08:14.8005313Z  * [new tag]                 ciflow/inductor/161464      -> ciflow/inductor/161464
2025-08-26T20:08:14.8005688Z  * [new tag]                 ciflow/inductor/161466      -> ciflow/inductor/161466
2025-08-26T20:08:14.8006095Z  * [new tag]                 ciflow/inductor/161468      -> ciflow/inductor/161468
2025-08-26T20:08:14.8006473Z  * [new tag]                 ciflow/inductor/161469      -> ciflow/inductor/161469
2025-08-26T20:08:14.8007160Z  * [new tag]                 ciflow/inductor/161474      -> ciflow/inductor/161474
2025-08-26T20:08:14.8007400Z  * [new tag]                 ciflow/inductor/161477      -> ciflow/inductor/161477
2025-08-26T20:08:14.8007889Z  * [new tag]                 ciflow/inductor/161485      -> ciflow/inductor/161485
2025-08-26T20:08:14.8008219Z  * [new tag]                 ciflow/inductor/161486      -> ciflow/inductor/161486
2025-08-26T20:08:14.8008537Z  * [new tag]                 ciflow/inductor/161487      -> ciflow/inductor/161487
2025-08-26T20:08:14.8008892Z  * [new tag]                 ciflow/inductor/161495      -> ciflow/inductor/161495
2025-08-26T20:08:14.8009307Z  * [new tag]                 ciflow/inductor/161497      -> ciflow/inductor/161497
2025-08-26T20:08:14.8009613Z  * [new tag]                 ciflow/inductor/161499      -> ciflow/inductor/161499
2025-08-26T20:08:14.8010010Z  * [new tag]                 ciflow/inductor/161512      -> ciflow/inductor/161512
2025-08-26T20:08:14.8010297Z  * [new tag]                 ciflow/inductor/161521      -> ciflow/inductor/161521
2025-08-26T20:08:14.8010670Z  * [new tag]                 ciflow/inductor/161526      -> ciflow/inductor/161526
2025-08-26T20:08:14.8011027Z  * [new tag]                 ciflow/inductor/161530      -> ciflow/inductor/161530
2025-08-26T20:08:14.8011353Z  * [new tag]                 ciflow/inductor/161534      -> ciflow/inductor/161534
2025-08-26T20:08:14.8011703Z  * [new tag]                 ciflow/inductor/161536      -> ciflow/inductor/161536
2025-08-26T20:08:14.8012289Z  * [new tag]                 ciflow/inductor/3b9a386     -> ciflow/inductor/3b9a386
2025-08-26T20:08:14.8012669Z  * [new tag]                 ciflow/inductor/3d4b92b     -> ciflow/inductor/3d4b92b
2025-08-26T20:08:14.8013249Z  * [new tag]                 ciflow/inductor/d224ac7     -> ciflow/inductor/d224ac7
2025-08-26T20:08:14.8013595Z  * [new tag]                 ciflow/linux-aarch64/159737 -> ciflow/linux-aarch64/159737
2025-08-26T20:08:14.8013971Z  * [new tag]                 ciflow/linux-aarch64/160078 -> ciflow/linux-aarch64/160078
2025-08-26T20:08:14.8014254Z  * [new tag]                 ciflow/linux-aarch64/160080 -> ciflow/linux-aarch64/160080
2025-08-26T20:08:14.8015057Z  * [new tag]                 ciflow/mps/155923           -> ciflow/mps/155923
2025-08-26T20:08:14.8015277Z  * [new tag]                 ciflow/mps/157553           -> ciflow/mps/157553
2025-08-26T20:08:14.8015610Z  * [new tag]                 ciflow/mps/157635           -> ciflow/mps/157635
2025-08-26T20:08:14.8016217Z  * [new tag]                 ciflow/mps/160839           -> ciflow/mps/160839
2025-08-26T20:08:14.8016455Z  * [new tag]                 ciflow/mps/161511           -> ciflow/mps/161511
2025-08-26T20:08:14.8017032Z  * [new tag]                 ciflow/nightly/158104       -> ciflow/nightly/158104
2025-08-26T20:08:14.8017449Z  * [new tag]                 ciflow/periodic-rocm-mi300/161180 -> ciflow/periodic-rocm-mi300/161180
2025-08-26T20:08:14.8018031Z  * [new tag]                 ciflow/periodic/054a2fd     -> ciflow/periodic/054a2fd
2025-08-26T20:08:14.8018571Z  * [new tag]                 ciflow/periodic/0dea191ff7b844352dc2cd5e3b5ef5ea13a76756 -> ciflow/periodic/0dea191ff7b844352dc2cd5e3b5ef5ea13a76756
2025-08-26T20:08:14.8018778Z  * [new tag]                 ciflow/periodic/156491      -> ciflow/periodic/156491
2025-08-26T20:08:14.8019199Z  * [new tag]                 ciflow/periodic/161013      -> ciflow/periodic/161013
2025-08-26T20:08:14.8019750Z  * [new tag]                 ciflow/periodic/2a6d37d     -> ciflow/periodic/2a6d37d
2025-08-26T20:08:14.8020060Z  * [new tag]                 ciflow/periodic/317eeb8     -> ciflow/periodic/317eeb8
2025-08-26T20:08:14.8020623Z  * [new tag]                 ciflow/periodic/3c32        -> ciflow/periodic/3c32
2025-08-26T20:08:14.8020940Z  * [new tag]                 ciflow/periodic/3e98831     -> ciflow/periodic/3e98831
2025-08-26T20:08:14.8021822Z  * [new tag]                 ciflow/periodic/94512-point -> ciflow/periodic/94512-point
2025-08-26T20:08:14.8022573Z  * [new tag]                 ciflow/periodic/bc7eaa0d8a1f5ca8ec0eaac461d1df500dcaea84 -> ciflow/periodic/bc7eaa0d8a1f5ca8ec0eaac461d1df500dcaea84
2025-08-26T20:08:14.8022948Z  * [new tag]                 ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519
2025-08-26T20:08:14.8023763Z  * [new tag]                 ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275
2025-08-26T20:08:14.8024124Z  * [new tag]                 ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761
2025-08-26T20:08:14.8024689Z  * [new tag]                 ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12
2025-08-26T20:08:14.8025190Z  * [new tag]                 ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0
2025-08-26T20:08:14.8025801Z  * [new tag]                 ciflow/periodic/sha-ec5b83  -> ciflow/periodic/sha-ec5b83
2025-08-26T20:08:14.8026135Z  * [new tag]                 ciflow/rocm-mi300/159158    -> ciflow/rocm-mi300/159158
2025-08-26T20:08:14.8026442Z  * [new tag]                 ciflow/rocm-mi300/161040    -> ciflow/rocm-mi300/161040
2025-08-26T20:08:14.8026783Z  * [new tag]                 ciflow/rocm-mi300/161180    -> ciflow/rocm-mi300/161180
2025-08-26T20:08:14.8027079Z  * [new tag]                 ciflow/rocm-mi300/161225    -> ciflow/rocm-mi300/161225
2025-08-26T20:08:14.8027454Z  * [new tag]                 ciflow/rocm-mi300/161429    -> ciflow/rocm-mi300/161429
2025-08-26T20:08:14.8028080Z  * [new tag]                 ciflow/rocm-mi355/160215    -> ciflow/rocm-mi355/160215
2025-08-26T20:08:14.8028407Z  * [new tag]                 ciflow/rocm/148492          -> ciflow/rocm/148492
2025-08-26T20:08:14.8028733Z  * [new tag]                 ciflow/rocm/151845          -> ciflow/rocm/151845
2025-08-26T20:08:14.8029166Z  * [new tag]                 ciflow/rocm/152526          -> ciflow/rocm/152526
2025-08-26T20:08:14.8029719Z  * [new tag]                 ciflow/rocm/154864          -> ciflow/rocm/154864
2025-08-26T20:08:14.8030007Z  * [new tag]                 ciflow/rocm/156491          -> ciflow/rocm/156491
2025-08-26T20:08:14.8030543Z  * [new tag]                 ciflow/rocm/158352          -> ciflow/rocm/158352
2025-08-26T20:08:14.8030775Z  * [new tag]                 ciflow/rocm/159158          -> ciflow/rocm/159158
2025-08-26T20:08:14.8031084Z  * [new tag]                 ciflow/rocm/160215          -> ciflow/rocm/160215
2025-08-26T20:08:14.8031419Z  * [new tag]                 ciflow/rocm/160671          -> ciflow/rocm/160671
2025-08-26T20:08:14.8032023Z  * [new tag]                 ciflow/rocm/160676          -> ciflow/rocm/160676
2025-08-26T20:08:14.8032290Z  * [new tag]                 ciflow/rocm/161180          -> ciflow/rocm/161180
2025-08-26T20:08:14.8032834Z  * [new tag]                 ciflow/rocm/161225          -> ciflow/rocm/161225
2025-08-26T20:08:14.8033392Z  * [new tag]                 ciflow/rocm/161277          -> ciflow/rocm/161277
2025-08-26T20:08:14.8033713Z  * [new tag]                 ciflow/rocm/161429          -> ciflow/rocm/161429
2025-08-26T20:08:14.8034083Z  * [new tag]                 ciflow/rocm/161496          -> ciflow/rocm/161496
2025-08-26T20:08:14.8034614Z  * [new tag]                 ciflow/s390/160893          -> ciflow/s390/160893
2025-08-26T20:08:14.8035168Z  * [new tag]                 ciflow/slow/01c7106         -> ciflow/slow/01c7106
2025-08-26T20:08:14.8035419Z  * [new tag]                 ciflow/slow/0577043         -> ciflow/slow/0577043
2025-08-26T20:08:14.8036188Z  * [new tag]                 ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym
2025-08-26T20:08:14.8036358Z  * [new tag]                 ciflow/slow/0e81104         -> ciflow/slow/0e81104
2025-08-26T20:08:14.8036787Z  * [new tag]                 ciflow/slow/161182          -> ciflow/slow/161182
2025-08-26T20:08:14.8037083Z  * [new tag]                 ciflow/slow/161395          -> ciflow/slow/161395
2025-08-26T20:08:14.8037627Z  * [new tag]                 ciflow/slow/1732077         -> ciflow/slow/1732077
2025-08-26T20:08:14.8038017Z  * [new tag]                 ciflow/slow/187eb7c         -> ciflow/slow/187eb7c
2025-08-26T20:08:14.8038619Z  * [new tag]                 ciflow/slow/1faef89         -> ciflow/slow/1faef89
2025-08-26T20:08:14.8039213Z  * [new tag]                 ciflow/slow/3920ec1         -> ciflow/slow/3920ec1
2025-08-26T20:08:14.8039798Z  * [new tag]                 ciflow/slow/3b7c6b2         -> ciflow/slow/3b7c6b2
2025-08-26T20:08:14.8040117Z  * [new tag]                 ciflow/slow/59a3759         -> ciflow/slow/59a3759
2025-08-26T20:08:14.8040645Z  * [new tag]                 ciflow/slow/70ef0bb         -> ciflow/slow/70ef0bb
2025-08-26T20:08:14.8040971Z  * [new tag]                 ciflow/slow/788ff06         -> ciflow/slow/788ff06
2025-08-26T20:08:14.8041789Z  * [new tag]                 ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym
2025-08-26T20:08:14.8041911Z  * [new tag]                 ciflow/slow/9d85864         -> ciflow/slow/9d85864
2025-08-26T20:08:14.8042537Z  * [new tag]                 ciflow/slow/9ffad5b         -> ciflow/slow/9ffad5b
2025-08-26T20:08:14.8042925Z  * [new tag]                 ciflow/slow/a206e8b         -> ciflow/slow/a206e8b
2025-08-26T20:08:14.8043570Z  * [new tag]                 ciflow/slow/a837609         -> ciflow/slow/a837609
2025-08-26T20:08:14.8043912Z  * [new tag]                 ciflow/slow/af841f3         -> ciflow/slow/af841f3
2025-08-26T20:08:14.8044703Z  * [new tag]                 ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym
2025-08-26T20:08:14.8044858Z  * [new tag]                 ciflow/torchbench/158137    -> ciflow/torchbench/158137
2025-08-26T20:08:14.8045442Z  * [new tag]                 ciflow/trunk/148492         -> ciflow/trunk/148492
2025-08-26T20:08:14.8045613Z  * [new tag]                 ciflow/trunk/151845         -> ciflow/trunk/151845
2025-08-26T20:08:14.8046001Z  * [new tag]                 ciflow/trunk/153784         -> ciflow/trunk/153784
2025-08-26T20:08:14.8046290Z  * [new tag]                 ciflow/trunk/154694         -> ciflow/trunk/154694
2025-08-26T20:08:14.8046626Z  * [new tag]                 ciflow/trunk/154864         -> ciflow/trunk/154864
2025-08-26T20:08:14.8047033Z  * [new tag]                 ciflow/trunk/156418         -> ciflow/trunk/156418
2025-08-26T20:08:14.8047837Z  * [new tag]                 ciflow/trunk/157196         -> ciflow/trunk/157196
2025-08-26T20:08:14.8048153Z  * [new tag]                 ciflow/trunk/157537         -> ciflow/trunk/157537
2025-08-26T20:08:14.8048511Z  * [new tag]                 ciflow/trunk/157767         -> ciflow/trunk/157767
2025-08-26T20:08:14.8048803Z  * [new tag]                 ciflow/trunk/157944         -> ciflow/trunk/157944
2025-08-26T20:08:14.8049117Z  * [new tag]                 ciflow/trunk/158104         -> ciflow/trunk/158104
2025-08-26T20:08:14.8049681Z  * [new tag]                 ciflow/trunk/158541         -> ciflow/trunk/158541
2025-08-26T20:08:14.8050043Z  * [new tag]                 ciflow/trunk/158733         -> ciflow/trunk/158733
2025-08-26T20:08:14.8050585Z  * [new tag]                 ciflow/trunk/158747         -> ciflow/trunk/158747
2025-08-26T20:08:14.8050834Z  * [new tag]                 ciflow/trunk/159158         -> ciflow/trunk/159158
2025-08-26T20:08:14.8051186Z  * [new tag]                 ciflow/trunk/159387         -> ciflow/trunk/159387
2025-08-26T20:08:14.8051544Z  * [new tag]                 ciflow/trunk/159562         -> ciflow/trunk/159562
2025-08-26T20:08:14.8051880Z  * [new tag]                 ciflow/trunk/159786         -> ciflow/trunk/159786
2025-08-26T20:08:14.8052233Z  * [new tag]                 ciflow/trunk/159835         -> ciflow/trunk/159835
2025-08-26T20:08:14.8052579Z  * [new tag]                 ciflow/trunk/159889         -> ciflow/trunk/159889
2025-08-26T20:08:14.8052917Z  * [new tag]                 ciflow/trunk/159923         -> ciflow/trunk/159923
2025-08-26T20:08:14.8053255Z  * [new tag]                 ciflow/trunk/160156         -> ciflow/trunk/160156
2025-08-26T20:08:14.8053628Z  * [new tag]                 ciflow/trunk/160180         -> ciflow/trunk/160180
2025-08-26T20:08:14.8053943Z  * [new tag]                 ciflow/trunk/160198         -> ciflow/trunk/160198
2025-08-26T20:08:14.8054500Z  * [new tag]                 ciflow/trunk/160258         -> ciflow/trunk/160258
2025-08-26T20:08:14.8054779Z  * [new tag]                 ciflow/trunk/160431         -> ciflow/trunk/160431
2025-08-26T20:08:14.8055294Z  * [new tag]                 ciflow/trunk/160448         -> ciflow/trunk/160448
2025-08-26T20:08:14.8055555Z  * [new tag]                 ciflow/trunk/160449         -> ciflow/trunk/160449
2025-08-26T20:08:14.8055926Z  * [new tag]                 ciflow/trunk/160527         -> ciflow/trunk/160527
2025-08-26T20:08:14.8056338Z  * [new tag]                 ciflow/trunk/160532         -> ciflow/trunk/160532
2025-08-26T20:08:14.8056623Z  * [new tag]                 ciflow/trunk/160671         -> ciflow/trunk/160671
2025-08-26T20:08:14.8056923Z  * [new tag]                 ciflow/trunk/160677         -> ciflow/trunk/160677
2025-08-26T20:08:14.8057403Z  * [new tag]                 ciflow/trunk/160692         -> ciflow/trunk/160692
2025-08-26T20:08:14.8057649Z  * [new tag]                 ciflow/trunk/160781         -> ciflow/trunk/160781
2025-08-26T20:08:14.8058030Z  * [new tag]                 ciflow/trunk/160825         -> ciflow/trunk/160825
2025-08-26T20:08:14.8058360Z  * [new tag]                 ciflow/trunk/160836         -> ciflow/trunk/160836
2025-08-26T20:08:14.8058745Z  * [new tag]                 ciflow/trunk/160866         -> ciflow/trunk/160866
2025-08-26T20:08:14.8059207Z  * [new tag]                 ciflow/trunk/160915         -> ciflow/trunk/160915
2025-08-26T20:08:14.8059523Z  * [new tag]                 ciflow/trunk/160991         -> ciflow/trunk/160991
2025-08-26T20:08:14.8059903Z  * [new tag]                 ciflow/trunk/160992         -> ciflow/trunk/160992
2025-08-26T20:08:14.8060225Z  * [new tag]                 ciflow/trunk/161004         -> ciflow/trunk/161004
2025-08-26T20:08:14.8060562Z  * [new tag]                 ciflow/trunk/161016         -> ciflow/trunk/161016
2025-08-26T20:08:14.8061081Z  * [new tag]                 ciflow/trunk/161023         -> ciflow/trunk/161023
2025-08-26T20:08:14.8061302Z  * [new tag]                 ciflow/trunk/161026         -> ciflow/trunk/161026
2025-08-26T20:08:14.8061660Z  * [new tag]                 ciflow/trunk/161032         -> ciflow/trunk/161032
2025-08-26T20:08:14.8062059Z  * [new tag]                 ciflow/trunk/161035         -> ciflow/trunk/161035
2025-08-26T20:08:14.8062403Z  * [new tag]                 ciflow/trunk/161040         -> ciflow/trunk/161040
2025-08-26T20:08:14.8062793Z  * [new tag]                 ciflow/trunk/161094         -> ciflow/trunk/161094
2025-08-26T20:08:14.8063182Z  * [new tag]                 ciflow/trunk/161097         -> ciflow/trunk/161097
2025-08-26T20:08:14.8063543Z  * [new tag]                 ciflow/trunk/161098         -> ciflow/trunk/161098
2025-08-26T20:08:14.8063875Z  * [new tag]                 ciflow/trunk/161100         -> ciflow/trunk/161100
2025-08-26T20:08:14.8064201Z  * [new tag]                 ciflow/trunk/161106         -> ciflow/trunk/161106
2025-08-26T20:08:14.8064550Z  * [new tag]                 ciflow/trunk/161110         -> ciflow/trunk/161110
2025-08-26T20:08:14.8065185Z  * [new tag]                 ciflow/trunk/161114         -> ciflow/trunk/161114
2025-08-26T20:08:14.8065457Z  * [new tag]                 ciflow/trunk/161117         -> ciflow/trunk/161117
2025-08-26T20:08:14.8065821Z  * [new tag]                 ciflow/trunk/161123         -> ciflow/trunk/161123
2025-08-26T20:08:14.8066230Z  * [new tag]                 ciflow/trunk/161124         -> ciflow/trunk/161124
2025-08-26T20:08:14.8066763Z  * [new tag]                 ciflow/trunk/161126         -> ciflow/trunk/161126
2025-08-26T20:08:14.8067393Z  * [new tag]                 ciflow/trunk/161131         -> ciflow/trunk/161131
2025-08-26T20:08:14.8067984Z  * [new tag]                 ciflow/trunk/161143         -> ciflow/trunk/161143
2025-08-26T20:08:14.8068405Z  * [new tag]                 ciflow/trunk/161144         -> ciflow/trunk/161144
2025-08-26T20:08:14.8068806Z  * [new tag]                 ciflow/trunk/161164         -> ciflow/trunk/161164
2025-08-26T20:08:14.8069353Z  * [new tag]                 ciflow/trunk/161180         -> ciflow/trunk/161180
2025-08-26T20:08:14.8069678Z  * [new tag]                 ciflow/trunk/161214         -> ciflow/trunk/161214
2025-08-26T20:08:14.8069989Z  * [new tag]                 ciflow/trunk/161217         -> ciflow/trunk/161217
2025-08-26T20:08:14.8070303Z  * [new tag]                 ciflow/trunk/161225         -> ciflow/trunk/161225
2025-08-26T20:08:14.8070685Z  * [new tag]                 ciflow/trunk/161236         -> ciflow/trunk/161236
2025-08-26T20:08:14.8071048Z  * [new tag]                 ciflow/trunk/161237         -> ciflow/trunk/161237
2025-08-26T20:08:14.8071318Z  * [new tag]                 ciflow/trunk/161241         -> ciflow/trunk/161241
2025-08-26T20:08:14.8071864Z  * [new tag]                 ciflow/trunk/161262         -> ciflow/trunk/161262
2025-08-26T20:08:14.8073149Z  * [new tag]                 ciflow/trunk/161263         -> ciflow/trunk/161263
2025-08-26T20:08:14.8073432Z  * [new tag]                 ciflow/trunk/161279         -> ciflow/trunk/161279
2025-08-26T20:08:14.8074047Z  * [new tag]                 ciflow/trunk/161306         -> ciflow/trunk/161306
2025-08-26T20:08:14.8074237Z  * [new tag]                 ciflow/trunk/161311         -> ciflow/trunk/161311
2025-08-26T20:08:14.8074602Z  * [new tag]                 ciflow/trunk/161354         -> ciflow/trunk/161354
2025-08-26T20:08:14.8075035Z  * [new tag]                 ciflow/trunk/161355         -> ciflow/trunk/161355
2025-08-26T20:08:14.8075262Z  * [new tag]                 ciflow/trunk/161362         -> ciflow/trunk/161362
2025-08-26T20:08:14.8075645Z  * [new tag]                 ciflow/trunk/161363         -> ciflow/trunk/161363
2025-08-26T20:08:14.8076179Z  * [new tag]                 ciflow/trunk/161370         -> ciflow/trunk/161370
2025-08-26T20:08:14.8076428Z  * [new tag]                 ciflow/trunk/161383         -> ciflow/trunk/161383
2025-08-26T20:08:14.8076726Z  * [new tag]                 ciflow/trunk/161385         -> ciflow/trunk/161385
2025-08-26T20:08:14.8077243Z  * [new tag]                 ciflow/trunk/161389         -> ciflow/trunk/161389
2025-08-26T20:08:14.8077772Z  * [new tag]                 ciflow/trunk/161392         -> ciflow/trunk/161392
2025-08-26T20:08:14.8078086Z  * [new tag]                 ciflow/trunk/161395         -> ciflow/trunk/161395
2025-08-26T20:08:14.8078377Z  * [new tag]                 ciflow/trunk/161396         -> ciflow/trunk/161396
2025-08-26T20:08:14.8078737Z  * [new tag]                 ciflow/trunk/161409         -> ciflow/trunk/161409
2025-08-26T20:08:14.8079037Z  * [new tag]                 ciflow/trunk/161410         -> ciflow/trunk/161410
2025-08-26T20:08:14.8079433Z  * [new tag]                 ciflow/trunk/161435         -> ciflow/trunk/161435
2025-08-26T20:08:14.8079854Z  * [new tag]                 ciflow/trunk/161437         -> ciflow/trunk/161437
2025-08-26T20:08:14.8080252Z  * [new tag]                 ciflow/trunk/161451         -> ciflow/trunk/161451
2025-08-26T20:08:14.8080711Z  * [new tag]                 ciflow/trunk/161453         -> ciflow/trunk/161453
2025-08-26T20:08:14.8081110Z  * [new tag]                 ciflow/trunk/161454         -> ciflow/trunk/161454
2025-08-26T20:08:14.8081509Z  * [new tag]                 ciflow/trunk/161489         -> ciflow/trunk/161489
2025-08-26T20:08:14.8082056Z  * [new tag]                 ciflow/trunk/161517         -> ciflow/trunk/161517
2025-08-26T20:08:14.8082623Z  * [new tag]                 ciflow/unstable/123         -> ciflow/unstable/123
2025-08-26T20:08:14.8083045Z  * [new tag]                 ciflow/win-arm64/158104     -> ciflow/win-arm64/158104
2025-08-26T20:08:14.8083341Z  * [new tag]                 ciflow/win-arm64/159562     -> ciflow/win-arm64/159562
2025-08-26T20:08:14.8083667Z  * [new tag]                 ciflow/win-arm64/160258     -> ciflow/win-arm64/160258
2025-08-26T20:08:14.8084317Z  * [new tag]                 ciflow/win-arm64/161504     -> ciflow/win-arm64/161504
2025-08-26T20:08:14.8084635Z  * [new tag]                 ciflow/xpu/143553           -> ciflow/xpu/143553
2025-08-26T20:08:14.8084943Z  * [new tag]                 ciflow/xpu/158733           -> ciflow/xpu/158733
2025-08-26T20:08:14.8085280Z  * [new tag]                 ciflow/xpu/159473           -> ciflow/xpu/159473
2025-08-26T20:08:14.8085997Z  * [new tag]                 ciflow/xpu/159944           -> ciflow/xpu/159944
2025-08-26T20:08:14.8086227Z  * [new tag]                 ciflow/xpu/160067           -> ciflow/xpu/160067
2025-08-26T20:08:14.8086813Z  * [new tag]                 ciflow/xpu/160158           -> ciflow/xpu/160158
2025-08-26T20:08:14.8087133Z  * [new tag]                 ciflow/xpu/160940           -> ciflow/xpu/160940
2025-08-26T20:08:14.8087528Z  * [new tag]                 ciflow/xpu/161041           -> ciflow/xpu/161041
2025-08-26T20:08:14.8087894Z  * [new tag]                 ciflow/xpu/161045           -> ciflow/xpu/161045
2025-08-26T20:08:14.8088240Z  * [new tag]                 ciflow/xpu/161142           -> ciflow/xpu/161142
2025-08-26T20:08:14.8088776Z  * [new tag]                 ciflow/xpu/161152           -> ciflow/xpu/161152
2025-08-26T20:08:14.8089181Z  * [new tag]                 ciflow/xpu/161246           -> ciflow/xpu/161246
2025-08-26T20:08:14.8089865Z  * [new tag]                 ciflow/xpu/161389           -> ciflow/xpu/161389
2025-08-26T20:08:14.8090174Z  * [new tag]                 ciflow/xpu/161392           -> ciflow/xpu/161392
2025-08-26T20:08:14.8090627Z  * [new tag]                 ciflow/xpu/161397           -> ciflow/xpu/161397
2025-08-26T20:08:14.8090880Z  * [new tag]                 ciflow/xpu/161477           -> ciflow/xpu/161477
2025-08-26T20:08:14.8091246Z  * [new tag]                 ciflow/xpu/161489           -> ciflow/xpu/161489
2025-08-26T20:08:14.8091783Z  * [new tag]                 cslpull75                   -> cslpull75
2025-08-26T20:08:14.8092108Z  * [new tag]                 cslpull76                   -> cslpull76
2025-08-26T20:08:14.8092459Z  * [new tag]                 cslpull77                   -> cslpull77
2025-08-26T20:08:14.8093030Z  * [new tag]                 cslpull78                   -> cslpull78
2025-08-26T20:08:14.8093429Z  * [new tag]                 cslpull79                   -> cslpull79
2025-08-26T20:08:14.8094065Z  * [new tag]                 cslpull80                   -> cslpull80
2025-08-26T20:08:14.8094422Z  * [new tag]                 cslpull81                   -> cslpull81
2025-08-26T20:08:14.8094971Z  * [new tag]                 cslpull82                   -> cslpull82
2025-08-26T20:08:14.8095282Z  * [new tag]                 cslpull83                   -> cslpull83
2025-08-26T20:08:14.8095788Z  * [new tag]                 cslpull84                   -> cslpull84
2025-08-26T20:08:14.8096069Z  * [new tag]                 cslpull85                   -> cslpull85
2025-08-26T20:08:14.8096597Z  * [new tag]                 cslpull86                   -> cslpull86
2025-08-26T20:08:14.8096946Z  * [new tag]                 cslpull87                   -> cslpull87
2025-08-26T20:08:14.8097484Z  * [new tag]                 cslpull88                   -> cslpull88
2025-08-26T20:08:14.8097829Z  * [new tag]                 cslpull89                   -> cslpull89
2025-08-26T20:08:14.8098119Z  * [new tag]                 cslpull90                   -> cslpull90
2025-08-26T20:08:14.8098891Z  * [new tag]                 cslpull91                   -> cslpull91
2025-08-26T20:08:14.8099205Z  * [new tag]                 cslpull92                   -> cslpull92
2025-08-26T20:08:14.8099735Z  * [new tag]                 flight_5                    -> flight_5
2025-08-26T20:08:14.8100267Z  * [new tag]                 flight_5.1                  -> flight_5.1
2025-08-26T20:08:14.8100629Z  * [new tag]                 flight_5.2                  -> flight_5.2
2025-08-26T20:08:14.8100987Z  * [new tag]                 flight_5.3                  -> flight_5.3
2025-08-26T20:08:14.8101513Z  * [new tag]                 forpull1                    -> forpull1
2025-08-26T20:08:14.8102099Z  * [new tag]                 malfet/tag-2ef5611          -> malfet/tag-2ef5611
2025-08-26T20:08:14.8102441Z  * [new tag]                 malfet/tag-317b1a0          -> malfet/tag-317b1a0
2025-08-26T20:08:14.8103125Z  * [new tag]                 malfet/tag-ec6f767          -> malfet/tag-ec6f767
2025-08-26T20:08:14.8103499Z  * [new tag]                 nightly-binary              -> nightly-binary
2025-08-26T20:08:14.8103881Z  * [new tag]                 sqzhang_flight4_plus        -> sqzhang_flight4_plus
2025-08-26T20:08:14.8104411Z  * [new tag]                 sqzhang_flight_3            -> sqzhang_flight_3
2025-08-26T20:08:14.8105068Z  * [new tag]                 trunk/00efeabc295e072fb9d6e68b008a31fb04201fd1 -> trunk/00efeabc295e072fb9d6e68b008a31fb04201fd1
2025-08-26T20:08:14.8105379Z  * [new tag]                 trunk/037c43d3b24d4db733011cb904c385eaa6e11bcf -> trunk/037c43d3b24d4db733011cb904c385eaa6e11bcf
2025-08-26T20:08:14.8106137Z  * [new tag]                 trunk/0533ff2ccba7e77622ac3c6758f1032bdc10feff -> trunk/0533ff2ccba7e77622ac3c6758f1032bdc10feff
2025-08-26T20:08:14.8106604Z  * [new tag]                 trunk/05e8fac4f374c4dbf0cd0e85e925e9112cf234a2 -> trunk/05e8fac4f374c4dbf0cd0e85e925e9112cf234a2
2025-08-26T20:08:14.8107294Z  * [new tag]                 trunk/089ad1d88bf31ddab769a4f87750b474ed1214c8 -> trunk/089ad1d88bf31ddab769a4f87750b474ed1214c8
2025-08-26T20:08:14.8107694Z  * [new tag]                 trunk/0924304e728b9507a54eced28c812fbd5b13c397 -> trunk/0924304e728b9507a54eced28c812fbd5b13c397
2025-08-26T20:08:14.8108113Z  * [new tag]                 trunk/0a5ab612dd2b9fc5bb2e1281ec7ca8730c5c3c89 -> trunk/0a5ab612dd2b9fc5bb2e1281ec7ca8730c5c3c89
2025-08-26T20:08:14.8108499Z  * [new tag]                 trunk/0d19541284c38212235f78db24e3ac3ae4787e45 -> trunk/0d19541284c38212235f78db24e3ac3ae4787e45
2025-08-26T20:08:14.8108958Z  * [new tag]                 trunk/0d9da384ef76e3ce2e7eaf951252ae9edb922863 -> trunk/0d9da384ef76e3ce2e7eaf951252ae9edb922863
2025-08-26T20:08:14.8109365Z  * [new tag]                 trunk/0dea191ff7b844352dc2cd5e3b5ef5ea13a76756 -> trunk/0dea191ff7b844352dc2cd5e3b5ef5ea13a76756
2025-08-26T20:08:14.8109737Z  * [new tag]                 trunk/0f801a510f5f185543388717241adb7237c3d46a -> trunk/0f801a510f5f185543388717241adb7237c3d46a
2025-08-26T20:08:14.8110170Z  * [new tag]                 trunk/10e67f5ec3834da93fc2022caa7ac69cf97c01f0 -> trunk/10e67f5ec3834da93fc2022caa7ac69cf97c01f0
2025-08-26T20:08:14.8110630Z  * [new tag]                 trunk/1113e7de30da95973c1eac7921601f9a0e94f2db -> trunk/1113e7de30da95973c1eac7921601f9a0e94f2db
2025-08-26T20:08:14.8111064Z  * [new tag]                 trunk/117f11adb4b41a5485b570c4337c22ecc8e00aeb -> trunk/117f11adb4b41a5485b570c4337c22ecc8e00aeb
2025-08-26T20:08:14.8111460Z  * [new tag]                 trunk/1471b20cb3fc502931ef12b1420414e32facd5b0 -> trunk/1471b20cb3fc502931ef12b1420414e32facd5b0
2025-08-26T20:08:14.8112210Z  * [new tag]                 trunk/16e811e0b5073c7b42fe76f650ca2b79e339e053 -> trunk/16e811e0b5073c7b42fe76f650ca2b79e339e053
2025-08-26T20:08:14.8112661Z  * [new tag]                 trunk/17b0263e86aec8aed068bb8b6744b129233e8084 -> trunk/17b0263e86aec8aed068bb8b6744b129233e8084
2025-08-26T20:08:14.8112888Z  * [new tag]                 trunk/18271148d32da3d48897e9e7515de45066fce5bc -> trunk/18271148d32da3d48897e9e7515de45066fce5bc
2025-08-26T20:08:14.8113389Z  * [new tag]                 trunk/19c70c2f3dc345a6555318f5f8b46cd55c42d0b4 -> trunk/19c70c2f3dc345a6555318f5f8b46cd55c42d0b4
2025-08-26T20:08:14.8113766Z  * [new tag]                 trunk/1a566c4909ccf16ace1fbf1f65d90c995b362712 -> trunk/1a566c4909ccf16ace1fbf1f65d90c995b362712
2025-08-26T20:08:14.8114198Z  * [new tag]                 trunk/1d458e294755ff2bfa314c67ddc5cb1dacc2aee8 -> trunk/1d458e294755ff2bfa314c67ddc5cb1dacc2aee8
2025-08-26T20:08:14.8114607Z  * [new tag]                 trunk/1d46aa736fc8870dc88015c729a8c64470fa985c -> trunk/1d46aa736fc8870dc88015c729a8c64470fa985c
2025-08-26T20:08:14.8115124Z  * [new tag]                 trunk/1de4540449ad6b9df8f452ab72da30ce8908af60 -> trunk/1de4540449ad6b9df8f452ab72da30ce8908af60
2025-08-26T20:08:14.8115535Z  * [new tag]                 trunk/1e3fe78a104776cd708f150116348540346dae25 -> trunk/1e3fe78a104776cd708f150116348540346dae25
2025-08-26T20:08:14.8115945Z  * [new tag]                 trunk/1ea918caf990c84bcb4e4ee5eee90f1102815b0a -> trunk/1ea918caf990c84bcb4e4ee5eee90f1102815b0a
2025-08-26T20:08:14.8116582Z  * [new tag]                 trunk/1eccfb157ab9855b3f81872a23502fb15f455e0a -> trunk/1eccfb157ab9855b3f81872a23502fb15f455e0a
2025-08-26T20:08:14.8116944Z  * [new tag]                 trunk/1fbe230b0d82251c6de8b5ae86c4da456b1db05c -> trunk/1fbe230b0d82251c6de8b5ae86c4da456b1db05c
2025-08-26T20:08:14.8117431Z  * [new tag]                 trunk/209143ddeb99b0b075d16525088cee4893be7492 -> trunk/209143ddeb99b0b075d16525088cee4893be7492
2025-08-26T20:08:14.8117889Z  * [new tag]                 trunk/22df59efc0a845b3ff37019029efd07c5a25c456 -> trunk/22df59efc0a845b3ff37019029efd07c5a25c456
2025-08-26T20:08:14.8118332Z  * [new tag]                 trunk/23b033452fb1d4b404216279bbf5b6d06d8570c3 -> trunk/23b033452fb1d4b404216279bbf5b6d06d8570c3
2025-08-26T20:08:14.8119179Z  * [new tag]                 trunk/24e7f3c21c9452c81d72bbd4b0c6b1f96f33536a -> trunk/24e7f3c21c9452c81d72bbd4b0c6b1f96f33536a
2025-08-26T20:08:14.8119580Z  * [new tag]                 trunk/25df65afd8b5e2fffbcaf2b7ed63ef7a1e37ecb9 -> trunk/25df65afd8b5e2fffbcaf2b7ed63ef7a1e37ecb9
2025-08-26T20:08:14.8120029Z  * [new tag]                 trunk/262640fd220236042fbf4443cc163c8838c84c3d -> trunk/262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T20:08:14.8120415Z  * [new tag]                 trunk/266784ec6ae82f823abe406582e7a91f2ebb564a -> trunk/266784ec6ae82f823abe406582e7a91f2ebb564a
2025-08-26T20:08:14.8120805Z  * [new tag]                 trunk/2835cc5e91eda8cbc4ac59de2ca990fa17107409 -> trunk/2835cc5e91eda8cbc4ac59de2ca990fa17107409
2025-08-26T20:08:14.8121180Z  * [new tag]                 trunk/284b7190054686e68d9cc683b6ce43e45dd22338 -> trunk/284b7190054686e68d9cc683b6ce43e45dd22338
2025-08-26T20:08:14.8121677Z  * [new tag]                 trunk/29afde20203ee6773641b4e3552942a37315316f -> trunk/29afde20203ee6773641b4e3552942a37315316f
2025-08-26T20:08:14.8122108Z  * [new tag]                 trunk/2a7a7ad7116d930fde86cda02f668e624d26ec3e -> trunk/2a7a7ad7116d930fde86cda02f668e624d26ec3e
2025-08-26T20:08:14.8122644Z  * [new tag]                 trunk/2b62ef74208792c7c4bf923f872e54b5f384efc8 -> trunk/2b62ef74208792c7c4bf923f872e54b5f384efc8
2025-08-26T20:08:14.8123030Z  * [new tag]                 trunk/2beffb3311a41589021c121dac543994a7cbdff2 -> trunk/2beffb3311a41589021c121dac543994a7cbdff2
2025-08-26T20:08:14.8123492Z  * [new tag]                 trunk/2c0650a00a0a0dd2bbf25ed22780fdd881bcda54 -> trunk/2c0650a00a0a0dd2bbf25ed22780fdd881bcda54
2025-08-26T20:08:14.8123951Z  * [new tag]                 trunk/2cf69fe0e1bdb1413fe9e802c4b84d8958708421 -> trunk/2cf69fe0e1bdb1413fe9e802c4b84d8958708421
2025-08-26T20:08:14.8124385Z  * [new tag]                 trunk/2cf7ac2fb7ab4067e17cc5ca71034b1c61a4fb10 -> trunk/2cf7ac2fb7ab4067e17cc5ca71034b1c61a4fb10
2025-08-26T20:08:14.8124812Z  * [new tag]                 trunk/2f0cba934de7094a66c6ce68f5e937254f23142a -> trunk/2f0cba934de7094a66c6ce68f5e937254f23142a
2025-08-26T20:08:14.8125114Z  * [new tag]                 trunk/2f0de0ff9361ca4f2b1e6f9edbc600b5fb6abcd6 -> trunk/2f0de0ff9361ca4f2b1e6f9edbc600b5fb6abcd6
2025-08-26T20:08:14.8125585Z  * [new tag]                 trunk/2f50ae7d2022cb096c4156f5a207c291e36ddecf -> trunk/2f50ae7d2022cb096c4156f5a207c291e36ddecf
2025-08-26T20:08:14.8126021Z  * [new tag]                 trunk/2fdd4f918cdc5fc8070e4c9c0d87b9045d316c06 -> trunk/2fdd4f918cdc5fc8070e4c9c0d87b9045d316c06
2025-08-26T20:08:14.8126481Z  * [new tag]                 trunk/30384abcb1d181e774c0ac21b580aa34336a96c6 -> trunk/30384abcb1d181e774c0ac21b580aa34336a96c6
2025-08-26T20:08:14.8127013Z  * [new tag]                 trunk/31a41daff49f2cde941d8b9e35cb2eaeeb606c0d -> trunk/31a41daff49f2cde941d8b9e35cb2eaeeb606c0d
2025-08-26T20:08:14.8127481Z  * [new tag]                 trunk/332fa5b388521c05a19217649745c6edfdc2836d -> trunk/332fa5b388521c05a19217649745c6edfdc2836d
2025-08-26T20:08:14.8128110Z  * [new tag]                 trunk/33346b58148c55592994a43385c321ae8c8808f2 -> trunk/33346b58148c55592994a43385c321ae8c8808f2
2025-08-26T20:08:14.8128540Z  * [new tag]                 trunk/3373b074f5ea5277974fa6e945544fdfb16bb446 -> trunk/3373b074f5ea5277974fa6e945544fdfb16bb446
2025-08-26T20:08:14.8128947Z  * [new tag]                 trunk/33c3794533844236a6e30ba377e0a6802b279fc8 -> trunk/33c3794533844236a6e30ba377e0a6802b279fc8
2025-08-26T20:08:14.8129355Z  * [new tag]                 trunk/35e4d97e047bff8b38fee1dcf6ef6503f0fc9208 -> trunk/35e4d97e047bff8b38fee1dcf6ef6503f0fc9208
2025-08-26T20:08:14.8129955Z  * [new tag]                 trunk/36ac916929ca67b533cc45932970297e9824324e -> trunk/36ac916929ca67b533cc45932970297e9824324e
2025-08-26T20:08:14.8130356Z  * [new tag]                 trunk/371909cfd10e0da1bab1e12fb54a2403c37c5f76 -> trunk/371909cfd10e0da1bab1e12fb54a2403c37c5f76
2025-08-26T20:08:14.8130772Z  * [new tag]                 trunk/373e25c2eb9f882356a9c7a2f18020935ff1d78b -> trunk/373e25c2eb9f882356a9c7a2f18020935ff1d78b
2025-08-26T20:08:14.8131253Z  * [new tag]                 trunk/37a34022b59a6ff2757e5cec0fdc72278418f339 -> trunk/37a34022b59a6ff2757e5cec0fdc72278418f339
2025-08-26T20:08:14.8131735Z  * [new tag]                 trunk/38a492d40d7ebb2856cb120df337c6cdac244528 -> trunk/38a492d40d7ebb2856cb120df337c6cdac244528
2025-08-26T20:08:14.8132203Z  * [new tag]                 trunk/394728bab2de21e8002fc6a47aa4d3acb2d7a728 -> trunk/394728bab2de21e8002fc6a47aa4d3acb2d7a728
2025-08-26T20:08:14.8132624Z  * [new tag]                 trunk/39862acb2e320783245d2a03acfd1b14cae28038 -> trunk/39862acb2e320783245d2a03acfd1b14cae28038
2025-08-26T20:08:14.8133115Z  * [new tag]                 trunk/3a4140bf8e783db3f0094d2a2ce1d8534066432f -> trunk/3a4140bf8e783db3f0094d2a2ce1d8534066432f
2025-08-26T20:08:14.8133566Z  * [new tag]                 trunk/3caddd4daa5b1a167663c07219e065e86247ad76 -> trunk/3caddd4daa5b1a167663c07219e065e86247ad76
2025-08-26T20:08:14.8133985Z  * [new tag]                 trunk/3dacaf0e1eb3286e70bf8d572000ecebf2c1f4c9 -> trunk/3dacaf0e1eb3286e70bf8d572000ecebf2c1f4c9
2025-08-26T20:08:14.8134414Z  * [new tag]                 trunk/3e210f90c2cbd5817aa23d430da10cad200a3ffa -> trunk/3e210f90c2cbd5817aa23d430da10cad200a3ffa
2025-08-26T20:08:14.8134724Z  * [new tag]                 trunk/3e3e83418d0f6b1495f79380f3a3dbc8b2d23062 -> trunk/3e3e83418d0f6b1495f79380f3a3dbc8b2d23062
2025-08-26T20:08:14.8135106Z  * [new tag]                 trunk/3e5b021f217a42ae55dc690083f67a28126808ed -> trunk/3e5b021f217a42ae55dc690083f67a28126808ed
2025-08-26T20:08:14.8135507Z  * [new tag]                 trunk/3ea6cc8c2d443d6104159d50e8328c144f6caa39 -> trunk/3ea6cc8c2d443d6104159d50e8328c144f6caa39
2025-08-26T20:08:14.8136156Z  * [new tag]                 trunk/3f1a97a99cad4cc682b20b43c1178ed9e1b81f24 -> trunk/3f1a97a99cad4cc682b20b43c1178ed9e1b81f24
2025-08-26T20:08:14.8136489Z  * [new tag]                 trunk/3f5a8e2003f2234ca8be19fdc307ba7b995f9be3 -> trunk/3f5a8e2003f2234ca8be19fdc307ba7b995f9be3
2025-08-26T20:08:14.8136940Z  * [new tag]                 trunk/40c0e700a488191cd8f541b30d8e3b9f2c0bc759 -> trunk/40c0e700a488191cd8f541b30d8e3b9f2c0bc759
2025-08-26T20:08:14.8137360Z  * [new tag]                 trunk/419a2dbf5f69cee52382090200b532a81da92c69 -> trunk/419a2dbf5f69cee52382090200b532a81da92c69
2025-08-26T20:08:14.8137819Z  * [new tag]                 trunk/431846a6323c6f1d02da49e311ac694324f386f4 -> trunk/431846a6323c6f1d02da49e311ac694324f386f4
2025-08-26T20:08:14.8138254Z  * [new tag]                 trunk/44549c7146bd6c4166f97e856037babe1b7f4f49 -> trunk/44549c7146bd6c4166f97e856037babe1b7f4f49
2025-08-26T20:08:14.8138741Z  * [new tag]                 trunk/447d34b5f80fb7350f79decd855cb599cab39083 -> trunk/447d34b5f80fb7350f79decd855cb599cab39083
2025-08-26T20:08:14.8139166Z  * [new tag]                 trunk/46429be72323c1807a785234164bd91011f68d08 -> trunk/46429be72323c1807a785234164bd91011f68d08
2025-08-26T20:08:14.8139504Z  * [new tag]                 trunk/4651aaac47ff855e08a74e2fdbfa605bc53afba8 -> trunk/4651aaac47ff855e08a74e2fdbfa605bc53afba8
2025-08-26T20:08:14.8139956Z  * [new tag]                 trunk/46576f5a164fcf95ec7fceaa13516bcb1ca4f6ab -> trunk/46576f5a164fcf95ec7fceaa13516bcb1ca4f6ab
2025-08-26T20:08:14.8140372Z  * [new tag]                 trunk/47d267364cad407b5612bf4a5faa160d2f4a7121 -> trunk/47d267364cad407b5612bf4a5faa160d2f4a7121
2025-08-26T20:08:14.8140829Z  * [new tag]                 trunk/49ff884b1edc3b872eeb2387ec60ef230cae7f24 -> trunk/49ff884b1edc3b872eeb2387ec60ef230cae7f24
2025-08-26T20:08:14.8141255Z  * [new tag]                 trunk/4a1aca11c20cfa29a1513b9f289d75bfe32d05d4 -> trunk/4a1aca11c20cfa29a1513b9f289d75bfe32d05d4
2025-08-26T20:08:14.8141710Z  * [new tag]                 trunk/4acdbb8311f760513556e2e4fdd7bfd88c225e52 -> trunk/4acdbb8311f760513556e2e4fdd7bfd88c225e52
2025-08-26T20:08:14.8142092Z  * [new tag]                 trunk/4c36c8a99463c898190a462300ba7f05b5b3384e -> trunk/4c36c8a99463c898190a462300ba7f05b5b3384e
2025-08-26T20:08:14.8142738Z  * [new tag]                 trunk/4e19c1906a830714c1d9d71361357ce616a034d6 -> trunk/4e19c1906a830714c1d9d71361357ce616a034d6
2025-08-26T20:08:14.8143129Z  * [new tag]                 trunk/4ed3184dee1bf4f775839bfd1448a7a34fe5a898 -> trunk/4ed3184dee1bf4f775839bfd1448a7a34fe5a898
2025-08-26T20:08:14.8143551Z  * [new tag]                 trunk/50cfe76231768ee2c784f68a1eba03369f386019 -> trunk/50cfe76231768ee2c784f68a1eba03369f386019
2025-08-26T20:08:14.8143940Z  * [new tag]                 trunk/510825e5fed8b56eb5e9352c12f0df1feeadb810 -> trunk/510825e5fed8b56eb5e9352c12f0df1feeadb810
2025-08-26T20:08:14.8144415Z  * [new tag]                 trunk/512fc768e94c937df350911aaa4ebce757d1f9df -> trunk/512fc768e94c937df350911aaa4ebce757d1f9df
2025-08-26T20:08:14.8145198Z  * [new tag]                 trunk/517d38d3406abbba35d0694bff259a698cad3ec9 -> trunk/517d38d3406abbba35d0694bff259a698cad3ec9
2025-08-26T20:08:14.8145601Z  * [new tag]                 trunk/5255e65c01bf48bbcd916ecf16ed81cf28d3c6e2 -> trunk/5255e65c01bf48bbcd916ecf16ed81cf28d3c6e2
2025-08-26T20:08:14.8146035Z  * [new tag]                 trunk/543896fcf3312f2053018edf9ee74c0fbb1d28ed -> trunk/543896fcf3312f2053018edf9ee74c0fbb1d28ed
2025-08-26T20:08:14.8146523Z  * [new tag]                 trunk/54c2b66592d168e4a7525f7a58f8ca020517a9cb -> trunk/54c2b66592d168e4a7525f7a58f8ca020517a9cb
2025-08-26T20:08:14.8146816Z  * [new tag]                 trunk/54cc63b467f24242cf0d6538d3e1df39e553daf1 -> trunk/54cc63b467f24242cf0d6538d3e1df39e553daf1
2025-08-26T20:08:14.8147305Z  * [new tag]                 trunk/56ebed627a23eea36190e1ced5024a18ffcedbd7 -> trunk/56ebed627a23eea36190e1ced5024a18ffcedbd7
2025-08-26T20:08:14.8148340Z  * [new tag]                 trunk/576a0e64ed2470abd2c430205d1984a11951ce05 -> trunk/576a0e64ed2470abd2c430205d1984a11951ce05
2025-08-26T20:08:14.8148723Z  * [new tag]                 trunk/5805c4210b477f0a7315d6038078dc4a8be1c8fa -> trunk/5805c4210b477f0a7315d6038078dc4a8be1c8fa
2025-08-26T20:08:14.8149165Z  * [new tag]                 trunk/58f9a3dd6391397e439c5f5075837e8f983735aa -> trunk/58f9a3dd6391397e439c5f5075837e8f983735aa
2025-08-26T20:08:14.8149548Z  * [new tag]                 trunk/595987d28d4c8aee68de83734af919c7710ad58b -> trunk/595987d28d4c8aee68de83734af919c7710ad58b
2025-08-26T20:08:14.8150044Z  * [new tag]                 trunk/599f639ddb8bb45abb2dc305542f38288427183d -> trunk/599f639ddb8bb45abb2dc305542f38288427183d
2025-08-26T20:08:14.8150507Z  * [new tag]                 trunk/5afa4187dfe1e99278f8e372ec09102d5b937572 -> trunk/5afa4187dfe1e99278f8e372ec09102d5b937572
2025-08-26T20:08:14.8151010Z  * [new tag]                 trunk/5d9653d90ee003173dd03f93e09fed236500ef06 -> trunk/5d9653d90ee003173dd03f93e09fed236500ef06
2025-08-26T20:08:14.8151427Z  * [new tag]                 trunk/5dad5b4f57ade4001c0f421dbdad2e418304870e -> trunk/5dad5b4f57ade4001c0f421dbdad2e418304870e
2025-08-26T20:08:14.8152133Z  * [new tag]                 trunk/5ee464db5c4293ac09521f9069fa7d2106680a7f -> trunk/5ee464db5c4293ac09521f9069fa7d2106680a7f
2025-08-26T20:08:14.8152410Z  * [new tag]                 trunk/6096d277c543f5dd40351431ef9a8d556134c74d -> trunk/6096d277c543f5dd40351431ef9a8d556134c74d
2025-08-26T20:08:14.8152803Z  * [new tag]                 trunk/62db8ec39116544ae247f876b3e06753178db49b -> trunk/62db8ec39116544ae247f876b3e06753178db49b
2025-08-26T20:08:14.8153206Z  * [new tag]                 trunk/639b8cc51ddebf10361f3840a6b0a244eb6092a1 -> trunk/639b8cc51ddebf10361f3840a6b0a244eb6092a1
2025-08-26T20:08:14.8153602Z  * [new tag]                 trunk/6443ea337df843681bc558d99efa84a3e5559b7f -> trunk/6443ea337df843681bc558d99efa84a3e5559b7f
2025-08-26T20:08:14.8154119Z  * [new tag]                 trunk/6598f00c18dfcc4fc50427305b6b5724e617246f -> trunk/6598f00c18dfcc4fc50427305b6b5724e617246f
2025-08-26T20:08:14.8154573Z  * [new tag]                 trunk/65d21dae18a34e8bd1b2f0e5aec7144b9dd33611 -> trunk/65d21dae18a34e8bd1b2f0e5aec7144b9dd33611
2025-08-26T20:08:14.8155009Z  * [new tag]                 trunk/660b5656a436dcccb0275ea5421d3eb4f1157b43 -> trunk/660b5656a436dcccb0275ea5421d3eb4f1157b43
2025-08-26T20:08:14.8155474Z  * [new tag]                 trunk/66166cf1e7696bf25f6f7bb815a93df367db48dc -> trunk/66166cf1e7696bf25f6f7bb815a93df367db48dc
2025-08-26T20:08:14.8156004Z  * [new tag]                 trunk/667245dc60242a35ae0a6b0072628eb8e15a6d03 -> trunk/667245dc60242a35ae0a6b0072628eb8e15a6d03
2025-08-26T20:08:14.8156514Z  * [new tag]                 trunk/67b98da1b262317f9c0375d64a4b467c82712548 -> trunk/67b98da1b262317f9c0375d64a4b467c82712548
2025-08-26T20:08:14.8156993Z  * [new tag]                 trunk/67d31f6b281d3b15b205756fc7ebc450cdde1dab -> trunk/67d31f6b281d3b15b205756fc7ebc450cdde1dab
2025-08-26T20:08:14.8157450Z  * [new tag]                 trunk/67fc16c7447f4fc04e7d28bfe201a4a0c78f3ea4 -> trunk/67fc16c7447f4fc04e7d28bfe201a4a0c78f3ea4
2025-08-26T20:08:14.8157878Z  * [new tag]                 trunk/6aef9f3a6906c011a57541c1de7a246222bc9ac9 -> trunk/6aef9f3a6906c011a57541c1de7a246222bc9ac9
2025-08-26T20:08:14.8158189Z  * [new tag]                 trunk/6ea4be1e2eca952ea66090182bd2eede89799a45 -> trunk/6ea4be1e2eca952ea66090182bd2eede89799a45
2025-08-26T20:08:14.8158649Z  * [new tag]                 trunk/7006fd0c8874cb0228d3f2bfd83a989bde4b7021 -> trunk/7006fd0c8874cb0228d3f2bfd83a989bde4b7021
2025-08-26T20:08:14.8159096Z  * [new tag]                 trunk/710514a2a51facaba445d2c188541d778f9fdb59 -> trunk/710514a2a51facaba445d2c188541d778f9fdb59
2025-08-26T20:08:14.8159566Z  * [new tag]                 trunk/7131bfab89c46ffe31b61ea4937a8727e9cf33c1 -> trunk/7131bfab89c46ffe31b61ea4937a8727e9cf33c1
2025-08-26T20:08:14.8159959Z  * [new tag]                 trunk/726dce3c944cbda16e54d3b15cdb4b6ced05af72 -> trunk/726dce3c944cbda16e54d3b15cdb4b6ced05af72
2025-08-26T20:08:14.8160400Z  * [new tag]                 trunk/72e4786d1635681b8d053d0168c7d16b980e5124 -> trunk/72e4786d1635681b8d053d0168c7d16b980e5124
2025-08-26T20:08:14.8160854Z  * [new tag]                 trunk/7376111d59f3170c2814d565c09d09435189692a -> trunk/7376111d59f3170c2814d565c09d09435189692a
2025-08-26T20:08:14.8161339Z  * [new tag]                 trunk/74124d1b46774f2a73aa1aadc2b0874cb523b1c1 -> trunk/74124d1b46774f2a73aa1aadc2b0874cb523b1c1
2025-08-26T20:08:14.8162269Z  * [new tag]                 trunk/74280d091321343b47a2975e17584b973d7c22c4 -> trunk/74280d091321343b47a2975e17584b973d7c22c4
2025-08-26T20:08:14.8162578Z  * [new tag]                 trunk/74c4c758afa8c28162f00a456c185552e1159fd3 -> trunk/74c4c758afa8c28162f00a456c185552e1159fd3
2025-08-26T20:08:14.8163017Z  * [new tag]                 trunk/763053dc536341997641e920d8887b3010901b3b -> trunk/763053dc536341997641e920d8887b3010901b3b
2025-08-26T20:08:14.8163463Z  * [new tag]                 trunk/774b4befa18741b3115802cae71000168a40c384 -> trunk/774b4befa18741b3115802cae71000168a40c384
2025-08-26T20:08:14.8163927Z  * [new tag]                 trunk/77bc959fe122bfd131e339ca36cab445a1860806 -> trunk/77bc959fe122bfd131e339ca36cab445a1860806
2025-08-26T20:08:14.8164353Z  * [new tag]                 trunk/78a8e6a671c5631bc0e89b0e674790a424540547 -> trunk/78a8e6a671c5631bc0e89b0e674790a424540547
2025-08-26T20:08:14.8164820Z  * [new tag]                 trunk/7e4bfa74eafab994b01f8b5501d4d061cbf64808 -> trunk/7e4bfa74eafab994b01f8b5501d4d061cbf64808
2025-08-26T20:08:14.8165278Z  * [new tag]                 trunk/7e6ce41555d595e3fa0d91059491f21cee3eb5ea -> trunk/7e6ce41555d595e3fa0d91059491f21cee3eb5ea
2025-08-26T20:08:14.8165794Z  * [new tag]                 trunk/7f201baf414301b3312576893b7f6f2698acd9ba -> trunk/7f201baf414301b3312576893b7f6f2698acd9ba
2025-08-26T20:08:14.8166338Z  * [new tag]                 trunk/7fcdd8d6afeda6a4c8630816e12bf7cca44b8f8a -> trunk/7fcdd8d6afeda6a4c8630816e12bf7cca44b8f8a
2025-08-26T20:08:14.8166986Z  * [new tag]                 trunk/801851086d09506d081800108c9e214edb3f5b7d -> trunk/801851086d09506d081800108c9e214edb3f5b7d
2025-08-26T20:08:14.8167335Z  * [new tag]                 trunk/8047cde0f3a27f3afa218792b8464d5e0c9d942f -> trunk/8047cde0f3a27f3afa218792b8464d5e0c9d942f
2025-08-26T20:08:14.8167808Z  * [new tag]                 trunk/80df27a612be3433516d7e6dfc8d8be058425d3e -> trunk/80df27a612be3433516d7e6dfc8d8be058425d3e
2025-08-26T20:08:14.8168523Z  * [new tag]                 trunk/818ba434c7de4cd604184b2857d544e0ad95735f -> trunk/818ba434c7de4cd604184b2857d544e0ad95735f
2025-08-26T20:08:14.8168824Z  * [new tag]                 trunk/83283ce7f5a7847b4e561e22be9b0f4530b05527 -> trunk/83283ce7f5a7847b4e561e22be9b0f4530b05527
2025-08-26T20:08:14.8169205Z  * [new tag]                 trunk/85adf80cf15538a7e010fa235036fe8e06f8bede -> trunk/85adf80cf15538a7e010fa235036fe8e06f8bede
2025-08-26T20:08:14.8169716Z  * [new tag]                 trunk/8aad3a60ce16a4acab17a8e46e5df339db2ff740 -> trunk/8aad3a60ce16a4acab17a8e46e5df339db2ff740
2025-08-26T20:08:14.8170510Z  * [new tag]                 trunk/8c442e4fd3310e15f57770944f883ac1d73e77e2 -> trunk/8c442e4fd3310e15f57770944f883ac1d73e77e2
2025-08-26T20:08:14.8171012Z  * [new tag]                 trunk/8c506e6310b9b5295151fb725be479d0f80ce5e8 -> trunk/8c506e6310b9b5295151fb725be479d0f80ce5e8
2025-08-26T20:08:14.8171503Z  * [new tag]                 trunk/8cfc119491f533c4edded4263a78eb0af782a2d5 -> trunk/8cfc119491f533c4edded4263a78eb0af782a2d5
2025-08-26T20:08:14.8172023Z  * [new tag]                 trunk/8dbe7f99bd707ee28ae12ecb9cab54e1785bf13e -> trunk/8dbe7f99bd707ee28ae12ecb9cab54e1785bf13e
2025-08-26T20:08:14.8172438Z  * [new tag]                 trunk/8e1770905565cd67d6c3a91c7afa462f4ef6e6aa -> trunk/8e1770905565cd67d6c3a91c7afa462f4ef6e6aa
2025-08-26T20:08:14.8172900Z  * [new tag]                 trunk/8f31aa97a3e1e17bed29b6cedf9884f0c6b145e9 -> trunk/8f31aa97a3e1e17bed29b6cedf9884f0c6b145e9
2025-08-26T20:08:14.8173394Z  * [new tag]                 trunk/8f766d68397736053883aa281cae0eb46bb233bb -> trunk/8f766d68397736053883aa281cae0eb46bb233bb
2025-08-26T20:08:14.8173864Z  * [new tag]                 trunk/908b0ccb1f70ed2cfa830484e05ee32af13b1836 -> trunk/908b0ccb1f70ed2cfa830484e05ee32af13b1836
2025-08-26T20:08:14.8174309Z  * [new tag]                 trunk/90ea9ccefe3e2d9a9e4840016d1af10c1814d48b -> trunk/90ea9ccefe3e2d9a9e4840016d1af10c1814d48b
2025-08-26T20:08:14.8174744Z  * [new tag]                 trunk/9225c6199412f8a2ee99b7c29f533fb98b9ff62e -> trunk/9225c6199412f8a2ee99b7c29f533fb98b9ff62e
2025-08-26T20:08:14.8175181Z  * [new tag]                 trunk/923bc46122d173a7964c646311a3bea3cd8dd561 -> trunk/923bc46122d173a7964c646311a3bea3cd8dd561
2025-08-26T20:08:14.8175683Z  * [new tag]                 trunk/92ab18482459a63e97f1374e27e8411964da9762 -> trunk/92ab18482459a63e97f1374e27e8411964da9762
2025-08-26T20:08:14.8176135Z  * [new tag]                 trunk/94b9569c4a86e12b944ca66e3125357a14d0eb9e -> trunk/94b9569c4a86e12b944ca66e3125357a14d0eb9e
2025-08-26T20:08:14.8176709Z  * [new tag]                 trunk/957b170d8efe2a51147e0cdb7515acc345ba81da -> trunk/957b170d8efe2a51147e0cdb7515acc345ba81da
2025-08-26T20:08:14.8177169Z  * [new tag]                 trunk/958f9ca88e9a1580de7c94a5a2ca8a750b1335ae -> trunk/958f9ca88e9a1580de7c94a5a2ca8a750b1335ae
2025-08-26T20:08:14.8177490Z  * [new tag]                 trunk/96682103026b5ea27f19e6db9303e17572095b0e -> trunk/96682103026b5ea27f19e6db9303e17572095b0e
2025-08-26T20:08:14.8178062Z  * [new tag]                 trunk/97200c971110d54030feaad999698c7341f8acc7 -> trunk/97200c971110d54030feaad999698c7341f8acc7
2025-08-26T20:08:14.8178829Z  * [new tag]                 trunk/981ac533c6e69a77538aaa7a9747c3d840dfa8be -> trunk/981ac533c6e69a77538aaa7a9747c3d840dfa8be
2025-08-26T20:08:14.8179247Z  * [new tag]                 trunk/995397d47a0e27394ee1010f158e181eb304100a -> trunk/995397d47a0e27394ee1010f158e181eb304100a
2025-08-26T20:08:14.8179877Z  * [new tag]                 trunk/9a41570199155eee92ebd28452a556075e34e1b4 -> trunk/9a41570199155eee92ebd28452a556075e34e1b4
2025-08-26T20:08:14.8180248Z  * [new tag]                 trunk/9b3ebd25acfd2ff4e9b7428079ba364d6f8a14da -> trunk/9b3ebd25acfd2ff4e9b7428079ba364d6f8a14da
2025-08-26T20:08:14.8180700Z  * [new tag]                 trunk/9b4adc4db7494dbc4dbbac5dd85ccbf5babaef44 -> trunk/9b4adc4db7494dbc4dbbac5dd85ccbf5babaef44
2025-08-26T20:08:14.8181527Z  * [new tag]                 trunk/9d18bf01b1661d227f6af41ac07a1e9ef20a9e1a -> trunk/9d18bf01b1661d227f6af41ac07a1e9ef20a9e1a
2025-08-26T20:08:14.8182063Z  * [new tag]                 trunk/9d7cecdd6c44c5421d341bcc359be4097ea9a2f5 -> trunk/9d7cecdd6c44c5421d341bcc359be4097ea9a2f5
2025-08-26T20:08:14.8182520Z  * [new tag]                 trunk/9d882fd9ffc6ad2a292fee548740aabfea745002 -> trunk/9d882fd9ffc6ad2a292fee548740aabfea745002
2025-08-26T20:08:14.8182981Z  * [new tag]                 trunk/9d9cc9897ac44a1a8df38211b03d8342a8af48c3 -> trunk/9d9cc9897ac44a1a8df38211b03d8342a8af48c3
2025-08-26T20:08:14.8183432Z  * [new tag]                 trunk/9e1c9541344b2aa1c946edb779d275072f3b8f4a -> trunk/9e1c9541344b2aa1c946edb779d275072f3b8f4a
2025-08-26T20:08:14.8183863Z  * [new tag]                 trunk/9e491f753ee521a70e6a7e7dbb36f96c9350f5ea -> trunk/9e491f753ee521a70e6a7e7dbb36f96c9350f5ea
2025-08-26T20:08:14.8184224Z  * [new tag]                 trunk/9f6e1b8730d6a7a7d012be90ae08674294aa4933 -> trunk/9f6e1b8730d6a7a7d012be90ae08674294aa4933
2025-08-26T20:08:14.8184883Z  * [new tag]                 trunk/a03cc53e6f6e2fe67316cb8c74c25f5b953f445b -> trunk/a03cc53e6f6e2fe67316cb8c74c25f5b953f445b
2025-08-26T20:08:14.8185206Z  * [new tag]                 trunk/a154c2093c0f2646346f032e1f30012779b3c51d -> trunk/a154c2093c0f2646346f032e1f30012779b3c51d
2025-08-26T20:08:14.8185709Z  * [new tag]                 trunk/a391fa1c42dd32e32a2e5b1cb196bac56daaca88 -> trunk/a391fa1c42dd32e32a2e5b1cb196bac56daaca88
2025-08-26T20:08:14.8186231Z  * [new tag]                 trunk/a3a82e3da85a53afc4bbf3d75bd3d3dcc2e06645 -> trunk/a3a82e3da85a53afc4bbf3d75bd3d3dcc2e06645
2025-08-26T20:08:14.8186668Z  * [new tag]                 trunk/a3fe1ced409d186628ff2975f05ba529a86fae84 -> trunk/a3fe1ced409d186628ff2975f05ba529a86fae84
2025-08-26T20:08:14.8187136Z  * [new tag]                 trunk/a43480d19cdd68e544163b1a07c328a9c54723b8 -> trunk/a43480d19cdd68e544163b1a07c328a9c54723b8
2025-08-26T20:08:14.8187584Z  * [new tag]                 trunk/a445b41e4f11daa82a53a21ec413c15d5079ae77 -> trunk/a445b41e4f11daa82a53a21ec413c15d5079ae77
2025-08-26T20:08:14.8188045Z  * [new tag]                 trunk/a44a0d3671b4ccf2fe915896a8a5204fe79b1e7b -> trunk/a44a0d3671b4ccf2fe915896a8a5204fe79b1e7b
2025-08-26T20:08:14.8188488Z  * [new tag]                 trunk/a6401cb5aa51622045c3f9a03b2cebef236e4182 -> trunk/a6401cb5aa51622045c3f9a03b2cebef236e4182
2025-08-26T20:08:14.8188944Z  * [new tag]                 trunk/a68f63e33161b4665e0f4c399bf8072135a35a57 -> trunk/a68f63e33161b4665e0f4c399bf8072135a35a57
2025-08-26T20:08:14.8189303Z  * [new tag]                 trunk/a72803f1e3c69c780b7d7bcdd9b35360fd98148b -> trunk/a72803f1e3c69c780b7d7bcdd9b35360fd98148b
2025-08-26T20:08:14.8189773Z  * [new tag]                 trunk/a7b5955ea8851d73e35f50a0de5bb0626bae24cb -> trunk/a7b5955ea8851d73e35f50a0de5bb0626bae24cb
2025-08-26T20:08:14.8190236Z  * [new tag]                 trunk/a818fa77e3a72271f144514ef349c5a666313205 -> trunk/a818fa77e3a72271f144514ef349c5a666313205
2025-08-26T20:08:14.8190866Z  * [new tag]                 trunk/a825557ed53507e85ac613862311a81eb88710a4 -> trunk/a825557ed53507e85ac613862311a81eb88710a4
2025-08-26T20:08:14.8191157Z  * [new tag]                 trunk/a85711d565f37b0095af9f7dafa77f392c9aa31e -> trunk/a85711d565f37b0095af9f7dafa77f392c9aa31e
2025-08-26T20:08:14.8191626Z  * [new tag]                 trunk/a941d7ffe54b5f256c1fbd3959ddbf608b7eea88 -> trunk/a941d7ffe54b5f256c1fbd3959ddbf608b7eea88
2025-08-26T20:08:14.8192094Z  * [new tag]                 trunk/a9fabeb012a4b804836a2b8d4b3742b92c9a6b58 -> trunk/a9fabeb012a4b804836a2b8d4b3742b92c9a6b58
2025-08-26T20:08:14.8192540Z  * [new tag]                 trunk/ab7787fb82dd777b2f777ef58bc20dbb7bd8289b -> trunk/ab7787fb82dd777b2f777ef58bc20dbb7bd8289b
2025-08-26T20:08:14.8192990Z  * [new tag]                 trunk/ab8d60f4c86ca19ed00d6e79ae8e6939266f28e6 -> trunk/ab8d60f4c86ca19ed00d6e79ae8e6939266f28e6
2025-08-26T20:08:14.8193357Z  * [new tag]                 trunk/ac8d9418aee4543fa193c86ae0bc3e63707bcd3b -> trunk/ac8d9418aee4543fa193c86ae0bc3e63707bcd3b
2025-08-26T20:08:14.8193896Z  * [new tag]                 trunk/acb00d3ccf5f2d566225f07ed66bd579d5d3e44e -> trunk/acb00d3ccf5f2d566225f07ed66bd579d5d3e44e
2025-08-26T20:08:14.8194285Z  * [new tag]                 trunk/adecb0c9e89e0dfe18d944d292c98c97b686fc83 -> trunk/adecb0c9e89e0dfe18d944d292c98c97b686fc83
2025-08-26T20:08:14.8194765Z  * [new tag]                 trunk/ae8d319fd4a0b0fa7b1372aa07690a36ce823abc -> trunk/ae8d319fd4a0b0fa7b1372aa07690a36ce823abc
2025-08-26T20:08:14.8195211Z  * [new tag]                 trunk/af3265d20f763e5366bfa37e3d4a6307036d0c18 -> trunk/af3265d20f763e5366bfa37e3d4a6307036d0c18
2025-08-26T20:08:14.8195699Z  * [new tag]                 trunk/b0420d24386263f2727fd5714b63cfa6bc89f3e6 -> trunk/b0420d24386263f2727fd5714b63cfa6bc89f3e6
2025-08-26T20:08:14.8196165Z  * [new tag]                 trunk/b1380f434da2fa2de0e5ff6fd70f73082dc08687 -> trunk/b1380f434da2fa2de0e5ff6fd70f73082dc08687
2025-08-26T20:08:14.8196661Z  * [new tag]                 trunk/b2632e79828300302fd11e093d765196c3c0db58 -> trunk/b2632e79828300302fd11e093d765196c3c0db58
2025-08-26T20:08:14.8197180Z  * [new tag]                 trunk/b2e06e0194c3fa8f7578a1b48751cc027394fb67 -> trunk/b2e06e0194c3fa8f7578a1b48751cc027394fb67
2025-08-26T20:08:14.8197616Z  * [new tag]                 trunk/b3e215b864e6ca43b2c4e50ce666673f80feee27 -> trunk/b3e215b864e6ca43b2c4e50ce666673f80feee27
2025-08-26T20:08:14.8198256Z  * [new tag]                 trunk/b708966201811b31ee765ec57715ac21d06ef652 -> trunk/b708966201811b31ee765ec57715ac21d06ef652
2025-08-26T20:08:14.8198524Z  * [new tag]                 trunk/b9e9e92817fd7d1a778f074105603efb07e05004 -> trunk/b9e9e92817fd7d1a778f074105603efb07e05004
2025-08-26T20:08:14.8198922Z  * [new tag]                 trunk/bc7eaa0d8a1f5ca8ec0eaac461d1df500dcaea84 -> trunk/bc7eaa0d8a1f5ca8ec0eaac461d1df500dcaea84
2025-08-26T20:08:14.8199368Z  * [new tag]                 trunk/bcfe1b2d714cbb2716495e09ae010e7c34daf045 -> trunk/bcfe1b2d714cbb2716495e09ae010e7c34daf045
2025-08-26T20:08:14.8199819Z  * [new tag]                 trunk/bd5857a1d6d5455d4f0057c182dff5e8ad2a4c8a -> trunk/bd5857a1d6d5455d4f0057c182dff5e8ad2a4c8a
2025-08-26T20:08:14.8200289Z  * [new tag]                 trunk/be2e6b3158552405acc13ef7829a0217826fb271 -> trunk/be2e6b3158552405acc13ef7829a0217826fb271
2025-08-26T20:08:14.8200728Z  * [new tag]                 trunk/be87f22dfba4488963fcc854699829e2782ee0f2 -> trunk/be87f22dfba4488963fcc854699829e2782ee0f2
2025-08-26T20:08:14.8201219Z  * [new tag]                 trunk/becd6cd744bdf950578519437652a0d1f4b48781 -> trunk/becd6cd744bdf950578519437652a0d1f4b48781
2025-08-26T20:08:14.8201946Z  * [new tag]                 trunk/bf8431ba062efa9ff0cdd5032a3ddf2e007a3216 -> trunk/bf8431ba062efa9ff0cdd5032a3ddf2e007a3216
2025-08-26T20:08:14.8202321Z  * [new tag]                 trunk/c02e26bf31eb3da301158a061aa68527dbfb4d32 -> trunk/c02e26bf31eb3da301158a061aa68527dbfb4d32
2025-08-26T20:08:14.8202799Z  * [new tag]                 trunk/c081481bbebdb568d07ee19cfe2cd3125de6cba7 -> trunk/c081481bbebdb568d07ee19cfe2cd3125de6cba7
2025-08-26T20:08:14.8203247Z  * [new tag]                 trunk/c2390087c34c964ef648addf43efb8c6a34e30c2 -> trunk/c2390087c34c964ef648addf43efb8c6a34e30c2
2025-08-26T20:08:14.8204140Z  * [new tag]                 trunk/c4670e40c9b741d50a79b714e3830149833be908 -> trunk/c4670e40c9b741d50a79b714e3830149833be908
2025-08-26T20:08:14.8204468Z  * [new tag]                 trunk/c5cb255625deb4cdbc5780e6911b73498e17ed5a -> trunk/c5cb255625deb4cdbc5780e6911b73498e17ed5a
2025-08-26T20:08:14.8204675Z  * [new tag]                 trunk/c60dea5261d9648d1da51528a07731966bb6823e -> trunk/c60dea5261d9648d1da51528a07731966bb6823e
2025-08-26T20:08:14.8205158Z  * [new tag]                 trunk/c74e5f60611b7eac4321f53a9e4a15b077fb1bcc -> trunk/c74e5f60611b7eac4321f53a9e4a15b077fb1bcc
2025-08-26T20:08:14.8205810Z  * [new tag]                 trunk/c7a77470c54b28e555319e34048af14d1d66198a -> trunk/c7a77470c54b28e555319e34048af14d1d66198a
2025-08-26T20:08:14.8206077Z  * [new tag]                 trunk/c7fb031706330684fc3a2d8d169bebea874d4e95 -> trunk/c7fb031706330684fc3a2d8d169bebea874d4e95
2025-08-26T20:08:14.8206917Z  * [new tag]                 trunk/c8bb0e4720ddddf3cd1b0b48b336978f763c71ca -> trunk/c8bb0e4720ddddf3cd1b0b48b336978f763c71ca
2025-08-26T20:08:14.8207209Z  * [new tag]                 trunk/ca9fe0107e165a4a4147325ff6d34235ebde447f -> trunk/ca9fe0107e165a4a4147325ff6d34235ebde447f
2025-08-26T20:08:14.8207515Z  * [new tag]                 trunk/caf98fde0d5c47452af45dc77099449edd521579 -> trunk/caf98fde0d5c47452af45dc77099449edd521579
2025-08-26T20:08:14.8207902Z  * [new tag]                 trunk/cb579532150c9e87e7c143adcb020fb7de7cc6b1 -> trunk/cb579532150c9e87e7c143adcb020fb7de7cc6b1
2025-08-26T20:08:14.8208142Z  * [new tag]                 trunk/cc2b65a91ae7773d4ecf9a600dda48fc3e69aa8f -> trunk/cc2b65a91ae7773d4ecf9a600dda48fc3e69aa8f
2025-08-26T20:08:14.8208959Z  * [new tag]                 trunk/cc791d5857f4aa06b8d4e567b1fb2852e3ae963d -> trunk/cc791d5857f4aa06b8d4e567b1fb2852e3ae963d
2025-08-26T20:08:14.8209443Z  * [new tag]                 trunk/cd31be28ec5cd0c4d9cdb6742efe151eee1406ec -> trunk/cd31be28ec5cd0c4d9cdb6742efe151eee1406ec
2025-08-26T20:08:14.8209891Z  * [new tag]                 trunk/cd87f3029582cedb3b88747a3bd7d200b05c1138 -> trunk/cd87f3029582cedb3b88747a3bd7d200b05c1138
2025-08-26T20:08:14.8210401Z  * [new tag]                 trunk/ce048de608180fa88335e5821070472539968b54 -> trunk/ce048de608180fa88335e5821070472539968b54
2025-08-26T20:08:14.8210834Z  * [new tag]                 trunk/ce467df5d1d763d1648aee51c93ce3e9a4699936 -> trunk/ce467df5d1d763d1648aee51c93ce3e9a4699936
2025-08-26T20:08:14.8211320Z  * [new tag]                 trunk/cee72119b2dec7776bc2550dd39a9b1349772751 -> trunk/cee72119b2dec7776bc2550dd39a9b1349772751
2025-08-26T20:08:14.8212294Z  * [new tag]                 trunk/cf94cadbeee31a4d1d46a57f11bce7c9fd1cebc0 -> trunk/cf94cadbeee31a4d1d46a57f11bce7c9fd1cebc0
2025-08-26T20:08:14.8212690Z  * [new tag]                 trunk/cfdaaaaa26d7f34427ba941569eca46f02f79f3e -> trunk/cfdaaaaa26d7f34427ba941569eca46f02f79f3e
2025-08-26T20:08:14.8213227Z  * [new tag]                 trunk/d1faf2ef0476eb60b42c057baee9af0f48ae849a -> trunk/d1faf2ef0476eb60b42c057baee9af0f48ae849a
2025-08-26T20:08:14.8213696Z  * [new tag]                 trunk/d228a776e90368bb693837ae23285ad8fc33def5 -> trunk/d228a776e90368bb693837ae23285ad8fc33def5
2025-08-26T20:08:14.8214145Z  * [new tag]                 trunk/d2b8c0d431e00ad57354c5247e46c1bea0b8cd31 -> trunk/d2b8c0d431e00ad57354c5247e46c1bea0b8cd31
2025-08-26T20:08:14.8214605Z  * [new tag]                 trunk/d2bd55d8de784df439b38378f161271dc43b744c -> trunk/d2bd55d8de784df439b38378f161271dc43b744c
2025-08-26T20:08:14.8215054Z  * [new tag]                 trunk/d4703fb91c3510460d71f648da113177edf593c8 -> trunk/d4703fb91c3510460d71f648da113177edf593c8
2025-08-26T20:08:14.8215511Z  * [new tag]                 trunk/d875d3ca1e5099636c766c9df70ac5888c25215a -> trunk/d875d3ca1e5099636c766c9df70ac5888c25215a
2025-08-26T20:08:14.8215990Z  * [new tag]                 trunk/d8fcb2a4acb506f9c72a1f44fc8b857158bda892 -> trunk/d8fcb2a4acb506f9c72a1f44fc8b857158bda892
2025-08-26T20:08:14.8216430Z  * [new tag]                 trunk/daeb3a6094c62d1881ea68091fcadb02d1dc687e -> trunk/daeb3a6094c62d1881ea68091fcadb02d1dc687e
2025-08-26T20:08:14.8216871Z  * [new tag]                 trunk/db38c44ad639e7ada3e9df2ba026a2cb5e40feb0 -> trunk/db38c44ad639e7ada3e9df2ba026a2cb5e40feb0
2025-08-26T20:08:14.8217702Z  * [new tag]                 trunk/db44de4c0d3e9f1fe5334ff4cc261fb8fe4390c8 -> trunk/db44de4c0d3e9f1fe5334ff4cc261fb8fe4390c8
2025-08-26T20:08:14.8218157Z  * [new tag]                 trunk/dbef6066311a1ce6e60e1f2b6084249d1ad45769 -> trunk/dbef6066311a1ce6e60e1f2b6084249d1ad45769
2025-08-26T20:08:14.8218603Z  * [new tag]                 trunk/df571ae7ad7dacf77ce42c00189cf369d7993387 -> trunk/df571ae7ad7dacf77ce42c00189cf369d7993387
2025-08-26T20:08:14.8219101Z  * [new tag]                 trunk/df6073641079c781e66a905e4f15ee49ac257eb2 -> trunk/df6073641079c781e66a905e4f15ee49ac257eb2
2025-08-26T20:08:14.8219583Z  * [new tag]                 trunk/e1a64b75ff3dc834774a9174c2e7b1c46dea35ec -> trunk/e1a64b75ff3dc834774a9174c2e7b1c46dea35ec
2025-08-26T20:08:14.8219998Z  * [new tag]                 trunk/e20f6d798606f3245686e950c43635bbe526232d -> trunk/e20f6d798606f3245686e950c43635bbe526232d
2025-08-26T20:08:14.8220359Z  * [new tag]                 trunk/e25ee0290ef16503f178e04890c15717f6e9ea44 -> trunk/e25ee0290ef16503f178e04890c15717f6e9ea44
2025-08-26T20:08:14.8220829Z  * [new tag]                 trunk/e34b6a01039df5d8940acdccd8d8989f3cd827aa -> trunk/e34b6a01039df5d8940acdccd8d8989f3cd827aa
2025-08-26T20:08:14.8221340Z  * [new tag]                 trunk/e3d68dfae2dee15e74d3b95beaed7149b6afb94a -> trunk/e3d68dfae2dee15e74d3b95beaed7149b6afb94a
2025-08-26T20:08:14.8221813Z  * [new tag]                 trunk/e3ebf364e6d2fb8008da113a596d3cc426ba9c79 -> trunk/e3ebf364e6d2fb8008da113a596d3cc426ba9c79
2025-08-26T20:08:14.8222150Z  * [new tag]                 trunk/e4839470470168648dee5997f57347bb8541ea2b -> trunk/e4839470470168648dee5997f57347bb8541ea2b
2025-08-26T20:08:14.8222647Z  * [new tag]                 trunk/e63155751825ba026ced3a1fc89563231bc85ccc -> trunk/e63155751825ba026ced3a1fc89563231bc85ccc
2025-08-26T20:08:14.8223090Z  * [new tag]                 trunk/e6aa7287f8c8cac76d792097f20ba1dae6dc8717 -> trunk/e6aa7287f8c8cac76d792097f20ba1dae6dc8717
2025-08-26T20:08:14.8223563Z  * [new tag]                 trunk/e6e45e6ae8452f0bc5e3e258027c42eb9a1394fb -> trunk/e6e45e6ae8452f0bc5e3e258027c42eb9a1394fb
2025-08-26T20:08:14.8223990Z  * [new tag]                 trunk/e795450a35bca909902e12de99245e1c0e7e2872 -> trunk/e795450a35bca909902e12de99245e1c0e7e2872
2025-08-26T20:08:14.8224442Z  * [new tag]                 trunk/e7e270a33a3f368c3ef0c3339950a47fdbfadd71 -> trunk/e7e270a33a3f368c3ef0c3339950a47fdbfadd71
2025-08-26T20:08:14.8224896Z  * [new tag]                 trunk/e836323a23f5750e800abe04ef8ca386b3066b58 -> trunk/e836323a23f5750e800abe04ef8ca386b3066b58
2025-08-26T20:08:14.8225418Z  * [new tag]                 trunk/e83825f91cb2901567fedbf31ba7cc434a897271 -> trunk/e83825f91cb2901567fedbf31ba7cc434a897271
2025-08-26T20:08:14.8226244Z  * [new tag]                 trunk/e9d42b3880dcdbd823bbdc9370c8b0b3af0ba2e3 -> trunk/e9d42b3880dcdbd823bbdc9370c8b0b3af0ba2e3
2025-08-26T20:08:14.8226657Z  * [new tag]                 trunk/eb5549a43164cdf8689cd7d177c03b2508c699f4 -> trunk/eb5549a43164cdf8689cd7d177c03b2508c699f4
2025-08-26T20:08:14.8227141Z  * [new tag]                 trunk/eba1ad09e47b66478f973e03cece7f314ac3b412 -> trunk/eba1ad09e47b66478f973e03cece7f314ac3b412
2025-08-26T20:08:14.8227647Z  * [new tag]                 trunk/eba20d2d748cb17dce9aa26e5513e4567bfd8282 -> trunk/eba20d2d748cb17dce9aa26e5513e4567bfd8282
2025-08-26T20:08:14.8228106Z  * [new tag]                 trunk/ec21cafd85d491d2d220e4e54080fe340a37c4c2 -> trunk/ec21cafd85d491d2d220e4e54080fe340a37c4c2
2025-08-26T20:08:14.8228562Z  * [new tag]                 trunk/ed8bcccf31e1ba01a35e818a4afbb74c333e8dc3 -> trunk/ed8bcccf31e1ba01a35e818a4afbb74c333e8dc3
2025-08-26T20:08:14.8229020Z  * [new tag]                 trunk/eddaaa6c2a66a84e17b17bf8af5131852067b259 -> trunk/eddaaa6c2a66a84e17b17bf8af5131852067b259
2025-08-26T20:08:14.8229455Z  * [new tag]                 trunk/ef761c43538abae5bccc0c4b6ebaf42ff676db7a -> trunk/ef761c43538abae5bccc0c4b6ebaf42ff676db7a
2025-08-26T20:08:14.8229944Z  * [new tag]                 trunk/f085f299584b06a2a7d8855eda2a411313e782ad -> trunk/f085f299584b06a2a7d8855eda2a411313e782ad
2025-08-26T20:08:14.8230406Z  * [new tag]                 trunk/f09458c2e16b4fe7063d73d80fd3e7e354bad3f8 -> trunk/f09458c2e16b4fe7063d73d80fd3e7e354bad3f8
2025-08-26T20:08:14.8230872Z  * [new tag]                 trunk/f0e0a6897ee5cb31ccee10ee8e2d3c01140ff999 -> trunk/f0e0a6897ee5cb31ccee10ee8e2d3c01140ff999
2025-08-26T20:08:14.8231295Z  * [new tag]                 trunk/f30501937738a2440f90988d1d46920529309ba8 -> trunk/f30501937738a2440f90988d1d46920529309ba8
2025-08-26T20:08:14.8231829Z  * [new tag]                 trunk/f391afe9bf8c542fdbb822423d2a1e454b3d9744 -> trunk/f391afe9bf8c542fdbb822423d2a1e454b3d9744
2025-08-26T20:08:14.8232262Z  * [new tag]                 trunk/f521e82a4e80df502fa57e5852af14d8779dcbd1 -> trunk/f521e82a4e80df502fa57e5852af14d8779dcbd1
2025-08-26T20:08:14.8232663Z  * [new tag]                 trunk/f5bf5147ad18994c9a6e0f565d7831362bf5a18a -> trunk/f5bf5147ad18994c9a6e0f565d7831362bf5a18a
2025-08-26T20:08:14.8233069Z  * [new tag]                 trunk/f795e92802c55608ad4f4f198726d250056d0232 -> trunk/f795e92802c55608ad4f4f198726d250056d0232
2025-08-26T20:08:14.8233591Z  * [new tag]                 trunk/f8bd85827d465a8a2a610c27ed9e62a4c27ac07d -> trunk/f8bd85827d465a8a2a610c27ed9e62a4c27ac07d
2025-08-26T20:08:14.8234036Z  * [new tag]                 trunk/f90ccad1651b5a1698b2232acc3e92e2829b7935 -> trunk/f90ccad1651b5a1698b2232acc3e92e2829b7935
2025-08-26T20:08:14.8234388Z  * [new tag]                 trunk/f912c93344caa74e24c8164a2e25fe84a8203073 -> trunk/f912c93344caa74e24c8164a2e25fe84a8203073
2025-08-26T20:08:14.8234906Z  * [new tag]                 trunk/f9875166a953a51bbd454d963ee03d41818a27e8 -> trunk/f9875166a953a51bbd454d963ee03d41818a27e8
2025-08-26T20:08:14.8235407Z  * [new tag]                 trunk/f9df4ec2af0ac19b42f658ae87acf12067e67b36 -> trunk/f9df4ec2af0ac19b42f658ae87acf12067e67b36
2025-08-26T20:08:14.8235882Z  * [new tag]                 trunk/fab5dac734344105ae107e85c08151758a4a9b4d -> trunk/fab5dac734344105ae107e85c08151758a4a9b4d
2025-08-26T20:08:14.8236370Z  * [new tag]                 trunk/fb241d0a448f1dd88471098ac149418124a7c4aa -> trunk/fb241d0a448f1dd88471098ac149418124a7c4aa
2025-08-26T20:08:14.8236840Z  * [new tag]                 trunk/fc0683b1e75fdf3182e0855b3f79e80fe0124ef1 -> trunk/fc0683b1e75fdf3182e0855b3f79e80fe0124ef1
2025-08-26T20:08:14.8238655Z  * [new tag]                 trunk/fc69c2bc67672c3b2d0c62c1821895f09288f1c0 -> trunk/fc69c2bc67672c3b2d0c62c1821895f09288f1c0
2025-08-26T20:08:14.8239061Z  * [new tag]                 trunk/febfc3ec03004116dfd6d504e6853ff02a1dd6e0 -> trunk/febfc3ec03004116dfd6d504e6853ff02a1dd6e0
2025-08-26T20:08:14.8239547Z  * [new tag]                 trunk/fecc5f600110209aaaedead11770a445b3c879e6 -> trunk/fecc5f600110209aaaedead11770a445b3c879e6
2025-08-26T20:08:14.8240021Z  * [new tag]                 trunk/ff4f5dd8ed8e2aaee903c7d30cd4f8bd04d883c8 -> trunk/ff4f5dd8ed8e2aaee903c7d30cd4f8bd04d883c8
2025-08-26T20:08:14.8240350Z  * [new tag]                 trunk/ffa1ce7650766c2ae6eaa96415dfc29e9eb0b3ec -> trunk/ffa1ce7650766c2ae6eaa96415dfc29e9eb0b3ec
2025-08-26T20:08:14.8240989Z  * [new tag]                 v0.1.1                      -> v0.1.1
2025-08-26T20:08:14.8241330Z  * [new tag]                 v0.1.10                     -> v0.1.10
2025-08-26T20:08:14.8241856Z  * [new tag]                 v0.1.11                     -> v0.1.11
2025-08-26T20:08:14.8242179Z  * [new tag]                 v0.1.12                     -> v0.1.12
2025-08-26T20:08:14.8242595Z  * [new tag]                 v0.1.2                      -> v0.1.2
2025-08-26T20:08:14.8242953Z  * [new tag]                 v0.1.3                      -> v0.1.3
2025-08-26T20:08:14.8243479Z  * [new tag]                 v0.1.4                      -> v0.1.4
2025-08-26T20:08:14.8243807Z  * [new tag]                 v0.1.5                      -> v0.1.5
2025-08-26T20:08:14.8244317Z  * [new tag]                 v0.1.6                      -> v0.1.6
2025-08-26T20:08:14.8244622Z  * [new tag]                 v0.1.7                      -> v0.1.7
2025-08-26T20:08:14.8244995Z  * [new tag]                 v0.1.8                      -> v0.1.8
2025-08-26T20:08:14.8245350Z  * [new tag]                 v0.1.9                      -> v0.1.9
2025-08-26T20:08:14.8245857Z  * [new tag]                 v0.2.0                      -> v0.2.0
2025-08-26T20:08:14.8246560Z  * [new tag]                 v0.3.0                      -> v0.3.0
2025-08-26T20:08:14.8247080Z  * [new tag]                 v0.3.1                      -> v0.3.1
2025-08-26T20:08:14.8247394Z  * [new tag]                 v0.4.0                      -> v0.4.0
2025-08-26T20:08:14.8248016Z  * [new tag]                 v0.4.1                      -> v0.4.1
2025-08-26T20:08:14.8248265Z  * [new tag]                 v1.0.0                      -> v1.0.0
2025-08-26T20:08:14.8248780Z  * [new tag]                 v1.0.0a0                    -> v1.0.0a0
2025-08-26T20:08:14.8249165Z  * [new tag]                 v1.0.1                      -> v1.0.1
2025-08-26T20:08:14.8249695Z  * [new tag]                 v1.0rc0                     -> v1.0rc0
2025-08-26T20:08:14.8249950Z  * [new tag]                 v1.0rc1                     -> v1.0rc1
2025-08-26T20:08:14.8250353Z  * [new tag]                 v1.1.0                      -> v1.1.0
2025-08-26T20:08:14.8250874Z  * [new tag]                 v1.1.0a0                    -> v1.1.0a0
2025-08-26T20:08:14.8251485Z  * [new tag]                 v1.10.0                     -> v1.10.0
2025-08-26T20:08:14.8251890Z  * [new tag]                 v1.10.0-rc1                 -> v1.10.0-rc1
2025-08-26T20:08:14.8252404Z  * [new tag]                 v1.10.0-rc2                 -> v1.10.0-rc2
2025-08-26T20:08:14.8252637Z  * [new tag]                 v1.10.0-rc3                 -> v1.10.0-rc3
2025-08-26T20:08:14.8253187Z  * [new tag]                 v1.10.1                     -> v1.10.1
2025-08-26T20:08:14.8253648Z  * [new tag]                 v1.10.1-rc1                 -> v1.10.1-rc1
2025-08-26T20:08:14.8253903Z  * [new tag]                 v1.10.2                     -> v1.10.2
2025-08-26T20:08:14.8254232Z  * [new tag]                 v1.10.2-rc1                 -> v1.10.2-rc1
2025-08-26T20:08:14.8254792Z  * [new tag]                 v1.11.0                     -> v1.11.0
2025-08-26T20:08:14.8255168Z  * [new tag]                 v1.11.0-rc1                 -> v1.11.0-rc1
2025-08-26T20:08:14.8255788Z  * [new tag]                 v1.11.0-rc2                 -> v1.11.0-rc2
2025-08-26T20:08:14.8256395Z  * [new tag]                 v1.11.0-rc3                 -> v1.11.0-rc3
2025-08-26T20:08:14.8256685Z  * [new tag]                 v1.11.0-rc4                 -> v1.11.0-rc4
2025-08-26T20:08:14.8257212Z  * [new tag]                 v1.11.0-rc5                 -> v1.11.0-rc5
2025-08-26T20:08:14.8257533Z  * [new tag]                 v1.11.0-rc6                 -> v1.11.0-rc6
2025-08-26T20:08:14.8257850Z  * [new tag]                 v1.11.0-rc7                 -> v1.11.0-rc7
2025-08-26T20:08:14.8258391Z  * [new tag]                 v1.12.0                     -> v1.12.0
2025-08-26T20:08:14.8258705Z  * [new tag]                 v1.12.0-rc1                 -> v1.12.0-rc1
2025-08-26T20:08:14.8259244Z  * [new tag]                 v1.12.0-rc2                 -> v1.12.0-rc2
2025-08-26T20:08:14.8259630Z  * [new tag]                 v1.12.0-rc3                 -> v1.12.0-rc3
2025-08-26T20:08:14.8260216Z  * [new tag]                 v1.12.0-rc4                 -> v1.12.0-rc4
2025-08-26T20:08:14.8260514Z  * [new tag]                 v1.12.0-rc5                 -> v1.12.0-rc5
2025-08-26T20:08:14.8261109Z  * [new tag]                 v1.12.0-rc6                 -> v1.12.0-rc6
2025-08-26T20:08:14.8261317Z  * [new tag]                 v1.12.0-rc7                 -> v1.12.0-rc7
2025-08-26T20:08:14.8261631Z  * [new tag]                 v1.12.0-rc8                 -> v1.12.0-rc8
2025-08-26T20:08:14.8261906Z  * [new tag]                 v1.12.1                     -> v1.12.1
2025-08-26T20:08:14.8262546Z  * [new tag]                 v1.12.1-rc1                 -> v1.12.1-rc1
2025-08-26T20:08:14.8262916Z  * [new tag]                 v1.12.1-rc2                 -> v1.12.1-rc2
2025-08-26T20:08:14.8263525Z  * [new tag]                 v1.12.1-rc3                 -> v1.12.1-rc3
2025-08-26T20:08:14.8263893Z  * [new tag]                 v1.12.1-rc4                 -> v1.12.1-rc4
2025-08-26T20:08:14.8264183Z  * [new tag]                 v1.12.1-rc5                 -> v1.12.1-rc5
2025-08-26T20:08:14.8264755Z  * [new tag]                 v1.13.0                     -> v1.13.0
2025-08-26T20:08:14.8265099Z  * [new tag]                 v1.13.0-rc1                 -> v1.13.0-rc1
2025-08-26T20:08:14.8265662Z  * [new tag]                 v1.13.0-rc2                 -> v1.13.0-rc2
2025-08-26T20:08:14.8265929Z  * [new tag]                 v1.13.0-rc3                 -> v1.13.0-rc3
2025-08-26T20:08:14.8266810Z  * [new tag]                 v1.13.0-rc4                 -> v1.13.0-rc4
2025-08-26T20:08:14.8267027Z  * [new tag]                 v1.13.0-rc5                 -> v1.13.0-rc5
2025-08-26T20:08:14.8267342Z  * [new tag]                 v1.13.0-rc6                 -> v1.13.0-rc6
2025-08-26T20:08:14.8267922Z  * [new tag]                 v1.13.1                     -> v1.13.1
2025-08-26T20:08:14.8268130Z  * [new tag]                 v1.13.1-rc1                 -> v1.13.1-rc1
2025-08-26T20:08:14.8268669Z  * [new tag]                 v1.2.0                      -> v1.2.0
2025-08-26T20:08:14.8268926Z  * [new tag]                 v1.2.0a0                    -> v1.2.0a0
2025-08-26T20:08:14.8269477Z  * [new tag]                 v1.3.0                      -> v1.3.0
2025-08-26T20:08:14.8269833Z  * [new tag]                 v1.3.0a0                    -> v1.3.0a0
2025-08-26T20:08:14.8270124Z  * [new tag]                 v1.3.1                      -> v1.3.1
2025-08-26T20:08:14.8270521Z  * [new tag]                 v1.4.0                      -> v1.4.0
2025-08-26T20:08:14.8271085Z  * [new tag]                 v1.4.0a0                    -> v1.4.0a0
2025-08-26T20:08:14.8271428Z  * [new tag]                 v1.4.1                      -> v1.4.1
2025-08-26T20:08:14.8272050Z  * [new tag]                 v1.5.0                      -> v1.5.0
2025-08-26T20:08:14.8272415Z  * [new tag]                 v1.5.0-rc1                  -> v1.5.0-rc1
2025-08-26T20:08:14.8272942Z  * [new tag]                 v1.5.0-rc2                  -> v1.5.0-rc2
2025-08-26T20:08:14.8273473Z  * [new tag]                 v1.5.0-rc3                  -> v1.5.0-rc3
2025-08-26T20:08:14.8273718Z  * [new tag]                 v1.5.0-rc4                  -> v1.5.0-rc4
2025-08-26T20:08:14.8274407Z  * [new tag]                 v1.5.0-rc5                  -> v1.5.0-rc5
2025-08-26T20:08:14.8274811Z  * [new tag]                 v1.5.1                      -> v1.5.1
2025-08-26T20:08:14.8275100Z  * [new tag]                 v1.5.1-rc1                  -> v1.5.1-rc1
2025-08-26T20:08:14.8275442Z  * [new tag]                 v1.6.0                      -> v1.6.0
2025-08-26T20:08:14.8275993Z  * [new tag]                 v1.6.0-rc1                  -> v1.6.0-rc1
2025-08-26T20:08:14.8276427Z  * [new tag]                 v1.6.0-rc2                  -> v1.6.0-rc2
2025-08-26T20:08:14.8276940Z  * [new tag]                 v1.6.0-rc3                  -> v1.6.0-rc3
2025-08-26T20:08:14.8277351Z  * [new tag]                 v1.6.0-rc4                  -> v1.6.0-rc4
2025-08-26T20:08:14.8277863Z  * [new tag]                 v1.6.0-rc5                  -> v1.6.0-rc5
2025-08-26T20:08:14.8278230Z  * [new tag]                 v1.6.0-rc6                  -> v1.6.0-rc6
2025-08-26T20:08:14.8278556Z  * [new tag]                 v1.6.0-rc7                  -> v1.6.0-rc7
2025-08-26T20:08:14.8279211Z  * [new tag]                 v1.7.0                      -> v1.7.0
2025-08-26T20:08:14.8279595Z  * [new tag]                 v1.7.0-rc1                  -> v1.7.0-rc1
2025-08-26T20:08:14.8280214Z  * [new tag]                 v1.7.0-rc2                  -> v1.7.0-rc2
2025-08-26T20:08:14.8280531Z  * [new tag]                 v1.7.0-rc3                  -> v1.7.0-rc3
2025-08-26T20:08:14.8280878Z  * [new tag]                 v1.7.0-rc4                  -> v1.7.0-rc4
2025-08-26T20:08:14.8281397Z  * [new tag]                 v1.7.1                      -> v1.7.1
2025-08-26T20:08:14.8282009Z  * [new tag]                 v1.7.1-rc1                  -> v1.7.1-rc1
2025-08-26T20:08:14.8282392Z  * [new tag]                 v1.7.1-rc2                  -> v1.7.1-rc2
2025-08-26T20:08:14.8282712Z  * [new tag]                 v1.7.1-rc3                  -> v1.7.1-rc3
2025-08-26T20:08:14.8283233Z  * [new tag]                 v1.8.0                      -> v1.8.0
2025-08-26T20:08:14.8283458Z  * [new tag]                 v1.8.0-rc1                  -> v1.8.0-rc1
2025-08-26T20:08:14.8284064Z  * [new tag]                 v1.8.0-rc2                  -> v1.8.0-rc2
2025-08-26T20:08:14.8284390Z  * [new tag]                 v1.8.0-rc3                  -> v1.8.0-rc3
2025-08-26T20:08:14.8284899Z  * [new tag]                 v1.8.0-rc4                  -> v1.8.0-rc4
2025-08-26T20:08:14.8285190Z  * [new tag]                 v1.8.0-rc5                  -> v1.8.0-rc5
2025-08-26T20:08:14.8285513Z  * [new tag]                 v1.8.1                      -> v1.8.1
2025-08-26T20:08:14.8286052Z  * [new tag]                 v1.8.1-rc1                  -> v1.8.1-rc1
2025-08-26T20:08:14.8286252Z  * [new tag]                 v1.8.1-rc2                  -> v1.8.1-rc2
2025-08-26T20:08:14.8286570Z  * [new tag]                 v1.8.1-rc3                  -> v1.8.1-rc3
2025-08-26T20:08:14.8287462Z  * [new tag]                 v1.8.2                      -> v1.8.2
2025-08-26T20:08:14.8287694Z  * [new tag]                 v1.8.2-rc1                  -> v1.8.2-rc1
2025-08-26T20:08:14.8288244Z  * [new tag]                 v1.9.0                      -> v1.9.0
2025-08-26T20:08:14.8288603Z  * [new tag]                 v1.9.0-rc1                  -> v1.9.0-rc1
2025-08-26T20:08:14.8289157Z  * [new tag]                 v1.9.0-rc2                  -> v1.9.0-rc2
2025-08-26T20:08:14.8289547Z  * [new tag]                 v1.9.0-rc3                  -> v1.9.0-rc3
2025-08-26T20:08:14.8289848Z  * [new tag]                 v1.9.0-rc4                  -> v1.9.0-rc4
2025-08-26T20:08:14.8290361Z  * [new tag]                 v1.9.1                      -> v1.9.1
2025-08-26T20:08:14.8291002Z  * [new tag]                 v1.9.1-rc1                  -> v1.9.1-rc1
2025-08-26T20:08:14.8291251Z  * [new tag]                 v1.9.1-rc2                  -> v1.9.1-rc2
2025-08-26T20:08:14.8291879Z  * [new tag]                 v2.0.0                      -> v2.0.0
2025-08-26T20:08:14.8292232Z  * [new tag]                 v2.0.0-rc1                  -> v2.0.0-rc1
2025-08-26T20:08:14.8292818Z  * [new tag]                 v2.0.0-rc2                  -> v2.0.0-rc2
2025-08-26T20:08:14.8293215Z  * [new tag]                 v2.0.0-rc3                  -> v2.0.0-rc3
2025-08-26T20:08:14.8293745Z  * [new tag]                 v2.0.0-rc4                  -> v2.0.0-rc4
2025-08-26T20:08:14.8294083Z  * [new tag]                 v2.0.0-rc5                  -> v2.0.0-rc5
2025-08-26T20:08:14.8294376Z  * [new tag]                 v2.0.0-rc6                  -> v2.0.0-rc6
2025-08-26T20:08:14.8294967Z  * [new tag]                 v2.0.1                      -> v2.0.1
2025-08-26T20:08:14.8295331Z  * [new tag]                 v2.0.1-rc1                  -> v2.0.1-rc1
2025-08-26T20:08:14.8295676Z  * [new tag]                 v2.0.1-rc2                  -> v2.0.1-rc2
2025-08-26T20:08:14.8296055Z  * [new tag]                 v2.0.1-rc3                  -> v2.0.1-rc3
2025-08-26T20:08:14.8296407Z  * [new tag]                 v2.0.1-rc4                  -> v2.0.1-rc4
2025-08-26T20:08:14.8297286Z  * [new tag]                 v2.1.0                      -> v2.1.0
2025-08-26T20:08:14.8297638Z  * [new tag]                 v2.1.0-rc1                  -> v2.1.0-rc1
2025-08-26T20:08:14.8298193Z  * [new tag]                 v2.1.0-rc2                  -> v2.1.0-rc2
2025-08-26T20:08:14.8298703Z  * [new tag]                 v2.1.0-rc3                  -> v2.1.0-rc3
2025-08-26T20:08:14.8299084Z  * [new tag]                 v2.1.0-rc4                  -> v2.1.0-rc4
2025-08-26T20:08:14.8299705Z  * [new tag]                 v2.1.0-rc5                  -> v2.1.0-rc5
2025-08-26T20:08:14.8299917Z  * [new tag]                 v2.1.0-rc6                  -> v2.1.0-rc6
2025-08-26T20:08:14.8300496Z  * [new tag]                 v2.1.1                      -> v2.1.1
2025-08-26T20:08:14.8300856Z  * [new tag]                 v2.1.1-rc1                  -> v2.1.1-rc1
2025-08-26T20:08:14.8301359Z  * [new tag]                 v2.1.1-rc2                  -> v2.1.1-rc2
2025-08-26T20:08:14.8301874Z  * [new tag]                 v2.1.1-rc3                  -> v2.1.1-rc3
2025-08-26T20:08:14.8302310Z  * [new tag]                 v2.1.1-rc4                  -> v2.1.1-rc4
2025-08-26T20:08:14.8303093Z  * [new tag]                 v2.1.1-rc5                  -> v2.1.1-rc5
2025-08-26T20:08:14.8303328Z  * [new tag]                 v2.1.1-rc6                  -> v2.1.1-rc6
2025-08-26T20:08:14.8303843Z  * [new tag]                 v2.1.2                      -> v2.1.2
2025-08-26T20:08:14.8304353Z  * [new tag]                 v2.1.2-rc1                  -> v2.1.2-rc1
2025-08-26T20:08:14.8304872Z  * [new tag]                 v2.1.2-rc2                  -> v2.1.2-rc2
2025-08-26T20:08:14.8305036Z  * [new tag]                 v2.1.2-rc3                  -> v2.1.2-rc3
2025-08-26T20:08:14.8305720Z  * [new tag]                 v2.2.0                      -> v2.2.0
2025-08-26T20:08:14.8306118Z  * [new tag]                 v2.2.0-rc1                  -> v2.2.0-rc1
2025-08-26T20:08:14.8306618Z  * [new tag]                 v2.2.0-rc2                  -> v2.2.0-rc2
2025-08-26T20:08:14.8307044Z  * [new tag]                 v2.2.0-rc3                  -> v2.2.0-rc3
2025-08-26T20:08:14.8307367Z  * [new tag]                 v2.2.0-rc4                  -> v2.2.0-rc4
2025-08-26T20:08:14.8307782Z  * [new tag]                 v2.2.0-rc5                  -> v2.2.0-rc5
2025-08-26T20:08:14.8308300Z  * [new tag]                 v2.2.0-rc6                  -> v2.2.0-rc6
2025-08-26T20:08:14.8308546Z  * [new tag]                 v2.2.0-rc7                  -> v2.2.0-rc7
2025-08-26T20:08:14.8308844Z  * [new tag]                 v2.2.0-rc8                  -> v2.2.0-rc8
2025-08-26T20:08:14.8309447Z  * [new tag]                 v2.2.1                      -> v2.2.1
2025-08-26T20:08:14.8309847Z  * [new tag]                 v2.2.1-rc1                  -> v2.2.1-rc1
2025-08-26T20:08:14.8310181Z  * [new tag]                 v2.2.1-rc2                  -> v2.2.1-rc2
2025-08-26T20:08:14.8310459Z  * [new tag]                 v2.2.1-rc3                  -> v2.2.1-rc3
2025-08-26T20:08:14.8310773Z  * [new tag]                 v2.2.2                      -> v2.2.2
2025-08-26T20:08:14.8311386Z  * [new tag]                 v2.2.2-rc1                  -> v2.2.2-rc1
2025-08-26T20:08:14.8311592Z  * [new tag]                 v2.2.2-rc2                  -> v2.2.2-rc2
2025-08-26T20:08:14.8311903Z  * [new tag]                 v2.2.2-rc3                  -> v2.2.2-rc3
2025-08-26T20:08:14.8312534Z  * [new tag]                 v2.3.0                      -> v2.3.0
2025-08-26T20:08:14.8312908Z  * [new tag]                 v2.3.0-rc1                  -> v2.3.0-rc1
2025-08-26T20:08:14.8313598Z  * [new tag]                 v2.3.0-rc10                 -> v2.3.0-rc10
2025-08-26T20:08:14.8314104Z  * [new tag]                 v2.3.0-rc11                 -> v2.3.0-rc11
2025-08-26T20:08:14.8314368Z  * [new tag]                 v2.3.0-rc12                 -> v2.3.0-rc12
2025-08-26T20:08:14.8314837Z  * [new tag]                 v2.3.0-rc2                  -> v2.3.0-rc2
2025-08-26T20:08:14.8315369Z  * [new tag]                 v2.3.0-rc3                  -> v2.3.0-rc3
2025-08-26T20:08:14.8315695Z  * [new tag]                 v2.3.0-rc4                  -> v2.3.0-rc4
2025-08-26T20:08:14.8316222Z  * [new tag]                 v2.3.0-rc5                  -> v2.3.0-rc5
2025-08-26T20:08:14.8316409Z  * [new tag]                 v2.3.0-rc6                  -> v2.3.0-rc6
2025-08-26T20:08:14.8316985Z  * [new tag]                 v2.3.0-rc7                  -> v2.3.0-rc7
2025-08-26T20:08:14.8317330Z  * [new tag]                 v2.3.0-rc8                  -> v2.3.0-rc8
2025-08-26T20:08:14.8317850Z  * [new tag]                 v2.3.0-rc9                  -> v2.3.0-rc9
2025-08-26T20:08:14.8318103Z  * [new tag]                 v2.3.1                      -> v2.3.1
2025-08-26T20:08:14.8318620Z  * [new tag]                 v2.3.1-rc1                  -> v2.3.1-rc1
2025-08-26T20:08:14.8319032Z  * [new tag]                 v2.3.1-rc2                  -> v2.3.1-rc2
2025-08-26T20:08:14.8319552Z  * [new tag]                 v2.3.1-rc3                  -> v2.3.1-rc3
2025-08-26T20:08:14.8320014Z  * [new tag]                 v2.4.0                      -> v2.4.0
2025-08-26T20:08:14.8320537Z  * [new tag]                 v2.4.0-rc1                  -> v2.4.0-rc1
2025-08-26T20:08:14.8320844Z  * [new tag]                 v2.4.0-rc2                  -> v2.4.0-rc2
2025-08-26T20:08:14.8321367Z  * [new tag]                 v2.4.0-rc3                  -> v2.4.0-rc3
2025-08-26T20:08:14.8321710Z  * [new tag]                 v2.4.0-rc4                  -> v2.4.0-rc4
2025-08-26T20:08:14.8322303Z  * [new tag]                 v2.4.0-rc5                  -> v2.4.0-rc5
2025-08-26T20:08:14.8322678Z  * [new tag]                 v2.4.0-rc6                  -> v2.4.0-rc6
2025-08-26T20:08:14.8323263Z  * [new tag]                 v2.4.0-rc7                  -> v2.4.0-rc7
2025-08-26T20:08:14.8323596Z  * [new tag]                 v2.4.0-rc8                  -> v2.4.0-rc8
2025-08-26T20:08:14.8324220Z  * [new tag]                 v2.4.0-rc9                  -> v2.4.0-rc9
2025-08-26T20:08:14.8324451Z  * [new tag]                 v2.4.1                      -> v2.4.1
2025-08-26T20:08:14.8325060Z  * [new tag]                 v2.4.1-rc1                  -> v2.4.1-rc1
2025-08-26T20:08:14.8325431Z  * [new tag]                 v2.4.1-rc2                  -> v2.4.1-rc2
2025-08-26T20:08:14.8326036Z  * [new tag]                 v2.4.1-rc3                  -> v2.4.1-rc3
2025-08-26T20:08:14.8326403Z  * [new tag]                 v2.5.0                      -> v2.5.0
2025-08-26T20:08:14.8326975Z  * [new tag]                 v2.5.0-rc1                  -> v2.5.0-rc1
2025-08-26T20:08:14.8327171Z  * [new tag]                 v2.5.0-rc10                 -> v2.5.0-rc10
2025-08-26T20:08:14.8327804Z  * [new tag]                 v2.5.0-rc2                  -> v2.5.0-rc2
2025-08-26T20:08:14.8328193Z  * [new tag]                 v2.5.0-rc3                  -> v2.5.0-rc3
2025-08-26T20:08:14.8328734Z  * [new tag]                 v2.5.0-rc4                  -> v2.5.0-rc4
2025-08-26T20:08:14.8329098Z  * [new tag]                 v2.5.0-rc5                  -> v2.5.0-rc5
2025-08-26T20:08:14.8329712Z  * [new tag]                 v2.5.0-rc6                  -> v2.5.0-rc6
2025-08-26T20:08:14.8330076Z  * [new tag]                 v2.5.0-rc7                  -> v2.5.0-rc7
2025-08-26T20:08:14.8330637Z  * [new tag]                 v2.5.0-rc8                  -> v2.5.0-rc8
2025-08-26T20:08:14.8331512Z  * [new tag]                 v2.5.0-rc9                  -> v2.5.0-rc9
2025-08-26T20:08:14.8331731Z  * [new tag]                 v2.5.1                      -> v2.5.1
2025-08-26T20:08:14.8332070Z  * [new tag]                 v2.5.1-rc1                  -> v2.5.1-rc1
2025-08-26T20:08:14.8332322Z  * [new tag]                 v2.6.0                      -> v2.6.0
2025-08-26T20:08:14.8332986Z  * [new tag]                 v2.6.0-rc1                  -> v2.6.0-rc1
2025-08-26T20:08:14.8333493Z  * [new tag]                 v2.6.0-rc2                  -> v2.6.0-rc2
2025-08-26T20:08:14.8333999Z  * [new tag]                 v2.6.0-rc3                  -> v2.6.0-rc3
2025-08-26T20:08:14.8334336Z  * [new tag]                 v2.6.0-rc4                  -> v2.6.0-rc4
2025-08-26T20:08:14.8335040Z  * [new tag]                 v2.6.0-rc5                  -> v2.6.0-rc5
2025-08-26T20:08:14.8335668Z  * [new tag]                 v2.6.0-rc6                  -> v2.6.0-rc6
2025-08-26T20:08:14.8336166Z  * [new tag]                 v2.6.0-rc7                  -> v2.6.0-rc7
2025-08-26T20:08:14.8336716Z  * [new tag]                 v2.6.0-rc8                  -> v2.6.0-rc8
2025-08-26T20:08:14.8337096Z  * [new tag]                 v2.6.0-rc9                  -> v2.6.0-rc9
2025-08-26T20:08:14.8337807Z  * [new tag]                 v2.7.0                      -> v2.7.0
2025-08-26T20:08:14.8338164Z  * [new tag]                 v2.7.0-rc1                  -> v2.7.0-rc1
2025-08-26T20:08:14.8338584Z  * [new tag]                 v2.7.0-rc10                 -> v2.7.0-rc10
2025-08-26T20:08:14.8339173Z  * [new tag]                 v2.7.0-rc2                  -> v2.7.0-rc2
2025-08-26T20:08:14.8339738Z  * [new tag]                 v2.7.0-rc3                  -> v2.7.0-rc3
2025-08-26T20:08:14.8340102Z  * [new tag]                 v2.7.0-rc4                  -> v2.7.0-rc4
2025-08-26T20:08:14.8340626Z  * [new tag]                 v2.7.0-rc5                  -> v2.7.0-rc5
2025-08-26T20:08:14.8340992Z  * [new tag]                 v2.7.0-rc6                  -> v2.7.0-rc6
2025-08-26T20:08:14.8341575Z  * [new tag]                 v2.7.0-rc7                  -> v2.7.0-rc7
2025-08-26T20:08:14.8341975Z  * [new tag]                 v2.7.0-rc8                  -> v2.7.0-rc8
2025-08-26T20:08:14.8342569Z  * [new tag]                 v2.7.0-rc9                  -> v2.7.0-rc9
2025-08-26T20:08:14.8342781Z  * [new tag]                 v2.7.1                      -> v2.7.1
2025-08-26T20:08:14.8343490Z  * [new tag]                 v2.7.1-rc1                  -> v2.7.1-rc1
2025-08-26T20:08:14.8344004Z  * [new tag]                 v2.7.1-rc2                  -> v2.7.1-rc2
2025-08-26T20:08:14.8344532Z  * [new tag]                 v2.7.1-rc3                  -> v2.7.1-rc3
2025-08-26T20:08:14.8345052Z  * [new tag]                 v2.7.1-rc4                  -> v2.7.1-rc4
2025-08-26T20:08:14.8345452Z  * [new tag]                 v2.7.1-rc5                  -> v2.7.1-rc5
2025-08-26T20:08:14.8346057Z  * [new tag]                 v2.8.0                      -> v2.8.0
2025-08-26T20:08:14.8346428Z  * [new tag]                 v2.8.0-rc1                  -> v2.8.0-rc1
2025-08-26T20:08:14.8346997Z  * [new tag]                 v2.8.0-rc2                  -> v2.8.0-rc2
2025-08-26T20:08:14.8347398Z  * [new tag]                 v2.8.0-rc3                  -> v2.8.0-rc3
2025-08-26T20:08:14.8347975Z  * [new tag]                 v2.8.0-rc4                  -> v2.8.0-rc4
2025-08-26T20:08:14.8348555Z  * [new tag]                 v2.8.0-rc5                  -> v2.8.0-rc5
2025-08-26T20:08:14.8348920Z  * [new tag]                 v2.8.0-rc6                  -> v2.8.0-rc6
2025-08-26T20:08:14.8349465Z  * [new tag]                 v2.8.0-rc7                  -> v2.8.0-rc7
2025-08-26T20:08:14.8349850Z  * [new tag]                 v2.8.0-rc8                  -> v2.8.0-rc8
2025-08-26T20:08:14.8350367Z  * [new tag]                 whc_flight_1                -> whc_flight_1
2025-08-26T20:08:14.8350729Z  * [new tag]                 whc_flight_2                -> whc_flight_2
2025-08-26T20:08:14.8351105Z  * [new tag]                 whc_flight_4                -> whc_flight_4
2025-08-26T20:08:14.8756855Z [command]/usr/bin/git rev-parse --verify --quiet 262640fd220236042fbf4443cc163c8838c84c3d^{object}
2025-08-26T20:08:14.8777398Z 262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T20:08:14.8779893Z ##[endgroup]
2025-08-26T20:08:14.8780219Z ##[group]Determining the checkout info
2025-08-26T20:08:14.8781327Z ##[endgroup]
2025-08-26T20:08:14.8783556Z [command]/usr/bin/git sparse-checkout disable
2025-08-26T20:08:14.8815864Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig
2025-08-26T20:08:14.8835263Z ##[group]Checking out the ref
2025-08-26T20:08:14.8837841Z [command]/usr/bin/git checkout --progress --force 262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T20:08:15.8124103Z Note: switching to '262640fd220236042fbf4443cc163c8838c84c3d'.
2025-08-26T20:08:15.8124328Z 
2025-08-26T20:08:15.8124479Z You are in 'detached HEAD' state. You can look around, make experimental
2025-08-26T20:08:15.8124816Z changes and commit them, and you can discard any commits you make in this
2025-08-26T20:08:15.8125161Z state without impacting any branches by switching back to a branch.
2025-08-26T20:08:15.8125342Z 
2025-08-26T20:08:15.8125471Z If you want to create a new branch to retain commits you create, you may
2025-08-26T20:08:15.8125769Z do so (now or later) by using -c with the switch command. Example:
2025-08-26T20:08:15.8125940Z 
2025-08-26T20:08:15.8126022Z   git switch -c <new-branch-name>
2025-08-26T20:08:15.8126150Z 
2025-08-26T20:08:15.8126235Z Or undo this operation with:
2025-08-26T20:08:15.8126350Z 
2025-08-26T20:08:15.8126424Z   git switch -
2025-08-26T20:08:15.8126527Z 
2025-08-26T20:08:15.8126905Z Turn off this advice by setting config variable advice.detachedHead to false
2025-08-26T20:08:15.8127126Z 
2025-08-26T20:08:15.8127270Z HEAD is now at 262640fd220 [ROCm][CI] restore test_flex_attention tests (#161519)
2025-08-26T20:08:15.8162975Z ##[endgroup]
2025-08-26T20:08:15.8163315Z ##[group]Setting up auth for fetching submodules
2025-08-26T20:08:15.8169134Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-08-26T20:08:15.8206624Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf
2025-08-26T20:08:15.8227873Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com:
2025-08-26T20:08:15.8249136Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com:
2025-08-26T20:08:15.8267849Z ##[endgroup]
2025-08-26T20:08:15.8268104Z ##[group]Fetching submodules
2025-08-26T20:08:15.8270361Z [command]/usr/bin/git submodule sync --recursive
2025-08-26T20:08:15.8518782Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive
2025-08-26T20:08:15.8777190Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni'
2025-08-26T20:08:15.8777808Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16'
2025-08-26T20:08:15.9112330Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv'
2025-08-26T20:08:15.9112930Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK'
2025-08-26T20:08:15.9113437Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX'
2025-08-26T20:08:15.9114117Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator'
2025-08-26T20:08:15.9114844Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK'
2025-08-26T20:08:15.9116453Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter'
2025-08-26T20:08:15.9130978Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark'
2025-08-26T20:08:15.9132751Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel'
2025-08-26T20:08:15.9134536Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib'
2025-08-26T20:08:15.9136310Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo'
2025-08-26T20:08:15.9138265Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend'
2025-08-26T20:08:15.9140139Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass'
2025-08-26T20:08:15.9153684Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm'
2025-08-26T20:08:15.9155720Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention'
2025-08-26T20:08:15.9157664Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers'
2025-08-26T20:08:15.9159622Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt'
2025-08-26T20:08:15.9161731Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp'
2025-08-26T20:08:15.9164948Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo'
2025-08-26T20:08:15.9178239Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest'
2025-08-26T20:08:15.9180399Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep'
2025-08-26T20:08:15.9182751Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi'
2025-08-26T20:08:15.9185375Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto'
2025-08-26T20:08:15.9187695Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai'
2025-08-26T20:08:15.9190016Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc'
2025-08-26T20:08:15.9203424Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann'
2025-08-26T20:08:15.9205788Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx'
2025-08-26T20:08:15.9208388Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp'
2025-08-26T20:08:15.9210732Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft'
2025-08-26T20:08:15.9213306Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf'
2025-08-26T20:08:15.9215893Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd'
2025-08-26T20:08:15.9229790Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool'
2025-08-26T20:08:15.9232384Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11'
2025-08-26T20:08:15.9235084Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy'
2025-08-26T20:08:15.9237771Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef'
2025-08-26T20:08:15.9241544Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe'
2025-08-26T20:08:15.9267280Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'...
2025-08-26T20:08:16.1650776Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'...
2025-08-26T20:08:16.1651293Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'...
2025-08-26T20:08:16.1651738Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/psimd'...
2025-08-26T20:08:16.1652224Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'...
2025-08-26T20:08:16.1729670Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NVTX'...
2025-08-26T20:08:16.3406633Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pthreadpool'...
2025-08-26T20:08:16.3407181Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pocketfft'...
2025-08-26T20:08:16.3407679Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/python-peachpy'...
2025-08-26T20:08:16.3408160Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep'...
2025-08-26T20:08:16.3408605Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gloo'...
2025-08-26T20:08:16.3409050Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'...
2025-08-26T20:08:16.3409677Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kleidiai'...
2025-08-26T20:08:16.3469327Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'...
2025-08-26T20:08:17.2825258Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'...
2025-08-26T20:08:17.2825826Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe'...
2025-08-26T20:08:17.2826344Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ittapi'...
2025-08-26T20:08:17.2826832Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention'...
2025-08-26T20:08:17.2827343Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpp-httplib'...
2025-08-26T20:08:17.2827815Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'...
2025-08-26T20:08:17.2828310Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/sleef'...
2025-08-26T20:08:17.2828765Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/mimalloc'...
2025-08-26T20:08:17.2829239Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pybind11'...
2025-08-26T20:08:17.2829707Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/googletest'...
2025-08-26T20:08:17.2830202Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'...
2025-08-26T20:08:17.2830678Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto'...
2025-08-26T20:08:17.2831115Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fmt'...
2025-08-26T20:08:17.3823400Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flatbuffers'...
2025-08-26T20:08:17.3823931Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'...
2025-08-26T20:08:25.2982633Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm'...
2025-08-26T20:08:25.2983116Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cutlass'...
2025-08-26T20:08:25.2983528Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx'...
2025-08-26T20:08:25.2983961Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/composable_kernel'...
2025-08-26T20:08:25.2984673Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter'...
2025-08-26T20:08:25.2985099Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp'...
2025-08-26T20:08:25.2985520Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nlohmann'...
2025-08-26T20:08:25.2985927Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf'...
2025-08-26T20:08:25.3102402Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f'
2025-08-26T20:08:25.3189279Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3'
2025-08-26T20:08:25.3256029Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1'
2025-08-26T20:08:25.3434431Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73'
2025-08-26T20:08:25.4032508Z Submodule path 'third_party/NVTX': checked out '2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07'
2025-08-26T20:08:25.4395769Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1'
2025-08-26T20:08:25.9273438Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883'
2025-08-26T20:08:26.0433608Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150'
2025-08-26T20:08:26.0444058Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel'
2025-08-26T20:08:26.0467449Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'...
2025-08-26T20:08:29.1734007Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf'
2025-08-26T20:08:29.1908959Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f'
2025-08-26T20:08:29.4134629Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977'
2025-08-26T20:08:29.4527884Z Submodule path 'third_party/cpp-httplib': checked out '3af7f2c16147f3fbc6e4d717032daf505dc1652c'
2025-08-26T20:08:29.5286089Z Submodule path 'third_party/cpuinfo': checked out '5e3d2445e6a84d9599bee2bf78edbb4d80865e1d'
2025-08-26T20:08:29.5632624Z Submodule path 'third_party/cudnn_frontend': checked out 'f937055efc6d414d11f4c6577e3977fe74f35fb6'
2025-08-26T20:08:30.0352073Z Submodule path 'third_party/cutlass': checked out 'e51efbfe18fe4f4cbb66ab814c55bf4aa0185491'
2025-08-26T20:08:30.1377936Z Submodule path 'third_party/fbgemm': checked out '21c7d30c526c0f1ad873ecc632dca6cfa8a69067'
2025-08-26T20:08:30.1390680Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit'
2025-08-26T20:08:30.1391526Z Submodule 'external/composable_kernel' (https://github.com/jwfromm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel'
2025-08-26T20:08:30.1392789Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo'
2025-08-26T20:08:30.1394040Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass'
2025-08-26T20:08:30.1395613Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest'
2025-08-26T20:08:30.1396958Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch'
2025-08-26T20:08:30.1398260Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json'
2025-08-26T20:08:30.1421153Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'...
2025-08-26T20:08:31.1588610Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'...
2025-08-26T20:08:31.1589229Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'...
2025-08-26T20:08:31.1589767Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'...
2025-08-26T20:08:31.1590343Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'...
2025-08-26T20:08:31.2589258Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'...
2025-08-26T20:08:31.9048734Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/json'...
2025-08-26T20:08:35.3654654Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea'
2025-08-26T20:08:35.5431207Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out 'b1281b8b08d973a7064f864f47eeb30f3e2596e9'
2025-08-26T20:08:35.6220957Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349'
2025-08-26T20:08:36.0832518Z Submodule path 'third_party/fbgemm/external/cutlass': checked out 'b40777404c174b9694a870bff5c13ce6b7f656ad'
2025-08-26T20:08:36.1193474Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-08-26T20:08:36.1288006Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out 'a4337c69fe0e2552a7b7b0669178926beeed828c'
2025-08-26T20:08:36.2121582Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03'
2025-08-26T20:08:36.2628272Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5'
2025-08-26T20:08:36.2640681Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel'
2025-08-26T20:08:36.2641820Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass'
2025-08-26T20:08:36.2662481Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'...
2025-08-26T20:08:39.2545934Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'...
2025-08-26T20:08:39.4196462Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33'
2025-08-26T20:08:39.8487637Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420'
2025-08-26T20:08:39.9453009Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757'
2025-08-26T20:08:39.9715031Z Submodule path 'third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21'
2025-08-26T20:08:40.0013350Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350'
2025-08-26T20:08:40.0192515Z Submodule path 'third_party/gloo': checked out 'c7b7b022c124d9643957d9bd55f57ac59fce8fa2'
2025-08-26T20:08:40.0539252Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-08-26T20:08:40.0635269Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3'
2025-08-26T20:08:40.0648561Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn'
2025-08-26T20:08:40.0668097Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'...
2025-08-26T20:08:50.4129318Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d'
2025-08-26T20:08:50.4281554Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959'
2025-08-26T20:08:50.5038650Z Submodule path 'third_party/kineto': checked out '5e7501833f1021ce6f618572d3baf657b6319658'
2025-08-26T20:08:50.5049538Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog'
2025-08-26T20:08:50.5050277Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt'
2025-08-26T20:08:50.5052007Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest'
2025-08-26T20:08:50.5073431Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'...
2025-08-26T20:08:51.1080098Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'...
2025-08-26T20:08:51.5006092Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'...
2025-08-26T20:08:51.5628837Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out '7d04a0053a845370ae06ce317a22a48e9edcc74e'
2025-08-26T20:08:51.5637536Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-08-26T20:08:51.5638998Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-08-26T20:08:51.5640033Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-08-26T20:08:51.5641331Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-08-26T20:08:51.5642728Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-08-26T20:08:51.5644193Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-08-26T20:08:51.5645623Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-08-26T20:08:51.5647482Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-08-26T20:08:51.5670976Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'...
2025-08-26T20:08:52.7411780Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'...
2025-08-26T20:08:52.7412478Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'...
2025-08-26T20:08:52.7413073Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'...
2025-08-26T20:08:52.7413662Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'...
2025-08-26T20:08:52.7414264Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'...
2025-08-26T20:08:52.7414866Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'...
2025-08-26T20:08:52.8411311Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'...
2025-08-26T20:08:58.4157334Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9'
2025-08-26T20:08:58.4289674Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400'
2025-08-26T20:08:58.4562739Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05'
2025-08-26T20:08:58.4665872Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067'
2025-08-26T20:08:58.4675829Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-08-26T20:08:58.4698158Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'...
2025-08-26T20:08:58.7330212Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4'
2025-08-26T20:08:58.7476247Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446'
2025-08-26T20:08:58.7794530Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '58d77fa8070e8cec2dc1ed015d66b454c8d78850'
2025-08-26T20:08:58.8595957Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5'
2025-08-26T20:08:58.8723995Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150'
2025-08-26T20:08:58.9027460Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '0041a40c1350ba702d475b9c4ad62da77caea164'
2025-08-26T20:08:58.9486222Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '7aca84427f224eeed3144123d5230d5871e93347'
2025-08-26T20:08:58.9813871Z Submodule path 'third_party/kleidiai': checked out 'cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7'
2025-08-26T20:08:59.0100001Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e'
2025-08-26T20:08:59.0960516Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72'
2025-08-26T20:08:59.3531735Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83'
2025-08-26T20:08:59.3553701Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/onnx/third_party/pybind11'
2025-08-26T20:08:59.3574570Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx/third_party/pybind11'...
2025-08-26T20:09:00.1494937Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4'
2025-08-26T20:09:00.1979961Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878'
2025-08-26T20:09:00.1989463Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark) registered for path 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-08-26T20:09:00.1990867Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/opentelemetry-cpp/third_party/googletest'
2025-08-26T20:09:00.1992101Z Submodule 'third_party/ms-gsl' (https://github.com/microsoft/GSL) registered for path 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-08-26T20:09:00.1993437Z Submodule 'third_party/nlohmann-json' (https://github.com/nlohmann/json) registered for path 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-08-26T20:09:00.1994884Z Submodule 'third_party/opentelemetry-proto' (https://github.com/open-telemetry/opentelemetry-proto) registered for path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-08-26T20:09:00.1996152Z Submodule 'third_party/opentracing-cpp' (https://github.com/opentracing/opentracing-cpp.git) registered for path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-08-26T20:09:00.1997524Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-08-26T20:09:00.1998948Z Submodule 'tools/vcpkg' (https://github.com/Microsoft/vcpkg) registered for path 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-08-26T20:09:00.2020129Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/benchmark'...
2025-08-26T20:09:00.5728907Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentelemetry-proto'...
2025-08-26T20:09:00.5729847Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentracing-cpp'...
2025-08-26T20:09:00.5730562Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp'...
2025-08-26T20:09:00.5731204Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/ms-gsl'...
2025-08-26T20:09:00.6729399Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/googletest'...
2025-08-26T20:09:01.0440833Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/nlohmann-json'...
2025-08-26T20:09:07.0920544Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/tools/vcpkg'...
2025-08-26T20:09:07.1064507Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2'
2025-08-26T20:09:07.1381936Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1'
2025-08-26T20:09:07.1513919Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out '6f4529395c5b7c2d661812257cd6780c67e54afa'
2025-08-26T20:09:07.2320171Z Submodule path 'third_party/opentelemetry-cpp/third_party/nlohmann-json': checked out 'bc889afb4c5bf1c0d8ee29ef35eaaf4c8bef8a5d'
2025-08-26T20:09:07.2419775Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto': checked out '4ca4f0335c63cda7ab31ea7ed70d6553aee14dce'
2025-08-26T20:09:07.2528696Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp': checked out '06b57f48ded1fa3bdd3d4346f6ef29e40e08eaf5'
2025-08-26T20:09:07.2639360Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp': checked out 'c9ffcdda9086ffd9e1283ea7a0276d831f3c8a8d'
2025-08-26T20:09:07.2651149Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-08-26T20:09:07.2652397Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-08-26T20:09:07.2676127Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'...
2025-08-26T20:09:08.5720763Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'...
2025-08-26T20:09:08.7670727Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'eefb26f82b233268fc98577d265352720d477ba4'
2025-08-26T20:09:08.8012389Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929'
2025-08-26T20:09:09.1001135Z Submodule path 'third_party/opentelemetry-cpp/tools/vcpkg': checked out '8eb57355a4ffb410a2e94c07b4dca2dffbee8e50'
2025-08-26T20:09:09.1085701Z Submodule path 'third_party/pocketfft': checked out '0fa0ef591e38c2758e3184c6c23e497b9f732ffa'
2025-08-26T20:09:09.3100334Z Submodule path 'third_party/protobuf': checked out 'd1eca4e4b421cd2997495c4b4e65cea6be4e9b8a'
2025-08-26T20:09:09.3111500Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/protobuf/third_party/benchmark'
2025-08-26T20:09:09.3112717Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/protobuf/third_party/googletest'
2025-08-26T20:09:09.3132582Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf/third_party/benchmark'...
2025-08-26T20:09:10.1741356Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf/third_party/googletest'...
2025-08-26T20:09:10.2303373Z Submodule path 'third_party/protobuf/third_party/benchmark': checked out '5b7683f49e1e9223cf9927b24f6fd3d6bd82e3f8'
2025-08-26T20:09:10.2854110Z Submodule path 'third_party/protobuf/third_party/googletest': checked out '5ec7f0c4a113e2f18ac2c6cc7df51ad6afc24081'
2025-08-26T20:09:10.2924037Z Submodule path 'third_party/psimd': checked out '072586a71b55b7f8c584153d223e95687148a900'
2025-08-26T20:09:10.3454417Z Submodule path 'third_party/pthreadpool': checked out '4fe0e1e183925bf8cfa6aae24237e724a96479b8'
2025-08-26T20:09:10.3759463Z Submodule path 'third_party/pybind11': checked out 'f5fbe867d2d26e4a0a9177a51f6e568868ad3dc8'
2025-08-26T20:09:10.3971243Z Submodule path 'third_party/python-peachpy': checked out 'f45429b087dd7d5bc78bb40dc7cf06425c252d67'
2025-08-26T20:09:10.4306280Z Submodule path 'third_party/sleef': checked out '5a1d179df9cf652951b59010a2d2075372d67f68'
2025-08-26T20:09:10.4498578Z Submodule path 'third_party/tensorpipe': checked out 'af0118d13e52f5a08841464a768e01a0bf3e3075'
2025-08-26T20:09:10.4507793Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/tensorpipe/third_party/googletest'
2025-08-26T20:09:10.4508952Z Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 'third_party/tensorpipe/third_party/libnop'
2025-08-26T20:09:10.4510111Z Submodule 'third_party/libuv' (https://github.com/libuv/libuv.git) registered for path 'third_party/tensorpipe/third_party/libuv'
2025-08-26T20:09:10.4511389Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/tensorpipe/third_party/pybind11'
2025-08-26T20:09:10.4533606Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/googletest'...
2025-08-26T20:09:11.8149630Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/libnop'...
2025-08-26T20:09:11.8151019Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/pybind11'...
2025-08-26T20:09:11.8796093Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/libuv'...
2025-08-26T20:09:11.9254237Z Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e'
2025-08-26T20:09:11.9370891Z Submodule path 'third_party/tensorpipe/third_party/libnop': checked out '910b55815be16109f04f4180e9adee14fb4ce281'
2025-08-26T20:09:11.9923233Z Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '5152db2cbfeb5582e9c27c5ea1dba2cd9e10759b'
2025-08-26T20:09:12.0137185Z Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef'
2025-08-26T20:09:12.0147385Z Submodule 'tools/clang' (https://github.com/wjakob/clang-cindex-python3) registered for path 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-08-26T20:09:12.0167147Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/pybind11/tools/clang'...
2025-08-26T20:09:12.3751863Z Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5'
2025-08-26T20:09:12.3783223Z [command]/usr/bin/git submodule foreach --recursive git config --local gc.auto 0
2025-08-26T20:09:12.4033997Z Entering 'android/libs/fbjni'
2025-08-26T20:09:12.4063019Z Entering 'third_party/FP16'
2025-08-26T20:09:12.4095287Z Entering 'third_party/FXdiv'
2025-08-26T20:09:12.4129849Z Entering 'third_party/NNPACK'
2025-08-26T20:09:12.4163750Z Entering 'third_party/NVTX'
2025-08-26T20:09:12.4199652Z Entering 'third_party/VulkanMemoryAllocator'
2025-08-26T20:09:12.4235711Z Entering 'third_party/XNNPACK'
2025-08-26T20:09:12.4278795Z Entering 'third_party/aiter'
2025-08-26T20:09:12.4312580Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-08-26T20:09:12.4351552Z Entering 'third_party/benchmark'
2025-08-26T20:09:12.4387099Z Entering 'third_party/composable_kernel'
2025-08-26T20:09:12.4431156Z Entering 'third_party/cpp-httplib'
2025-08-26T20:09:12.4466839Z Entering 'third_party/cpuinfo'
2025-08-26T20:09:12.4500849Z Entering 'third_party/cudnn_frontend'
2025-08-26T20:09:12.4535482Z Entering 'third_party/cutlass'
2025-08-26T20:09:12.4576668Z Entering 'third_party/fbgemm'
2025-08-26T20:09:12.4611993Z Entering 'third_party/fbgemm/external/asmjit'
2025-08-26T20:09:12.4645713Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-08-26T20:09:12.4682659Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-08-26T20:09:12.4714265Z Entering 'third_party/fbgemm/external/cutlass'
2025-08-26T20:09:12.4750833Z Entering 'third_party/fbgemm/external/googletest'
2025-08-26T20:09:12.4783054Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-08-26T20:09:12.4815114Z Entering 'third_party/fbgemm/external/json'
2025-08-26T20:09:12.4848746Z Entering 'third_party/flash-attention'
2025-08-26T20:09:12.4882635Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-08-26T20:09:12.4921774Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-08-26T20:09:12.4962542Z Entering 'third_party/flatbuffers'
2025-08-26T20:09:12.4999827Z Entering 'third_party/fmt'
2025-08-26T20:09:12.5032976Z Entering 'third_party/gemmlowp/gemmlowp'
2025-08-26T20:09:12.5065941Z Entering 'third_party/gloo'
2025-08-26T20:09:12.5096870Z Entering 'third_party/googletest'
2025-08-26T20:09:12.5129635Z Entering 'third_party/ideep'
2025-08-26T20:09:12.5159108Z Entering 'third_party/ideep/mkl-dnn'
2025-08-26T20:09:12.5197400Z Entering 'third_party/ittapi'
2025-08-26T20:09:12.5231147Z Entering 'third_party/kineto'
2025-08-26T20:09:12.5264398Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-08-26T20:09:12.5293935Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-08-26T20:09:12.5322375Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-08-26T20:09:12.5354828Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-08-26T20:09:12.5388320Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-08-26T20:09:12.5420773Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-08-26T20:09:12.5455123Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-08-26T20:09:12.5488903Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-08-26T20:09:12.5522181Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-08-26T20:09:12.5555452Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-08-26T20:09:12.5586697Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-08-26T20:09:12.5619367Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-08-26T20:09:12.5651529Z Entering 'third_party/kleidiai'
2025-08-26T20:09:12.5685494Z Entering 'third_party/mimalloc'
2025-08-26T20:09:12.5716237Z Entering 'third_party/nlohmann'
2025-08-26T20:09:12.5753040Z Entering 'third_party/onnx'
2025-08-26T20:09:12.5798209Z Entering 'third_party/onnx/third_party/pybind11'
2025-08-26T20:09:12.5832789Z Entering 'third_party/opentelemetry-cpp'
2025-08-26T20:09:12.5870316Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-08-26T20:09:12.5902458Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-08-26T20:09:12.5937152Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-08-26T20:09:12.5972743Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-08-26T20:09:12.6003445Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-08-26T20:09:12.6032258Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-08-26T20:09:12.6064935Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-08-26T20:09:12.6098062Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-08-26T20:09:12.6132842Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-08-26T20:09:12.6165139Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-08-26T20:09:12.6211369Z Entering 'third_party/pocketfft'
2025-08-26T20:09:12.6243606Z Entering 'third_party/protobuf'
2025-08-26T20:09:12.6278043Z Entering 'third_party/protobuf/third_party/benchmark'
2025-08-26T20:09:12.6310271Z Entering 'third_party/protobuf/third_party/googletest'
2025-08-26T20:09:12.6343479Z Entering 'third_party/psimd'
2025-08-26T20:09:12.6378495Z Entering 'third_party/pthreadpool'
2025-08-26T20:09:12.6413431Z Entering 'third_party/pybind11'
2025-08-26T20:09:12.6447725Z Entering 'third_party/python-peachpy'
2025-08-26T20:09:12.6479893Z Entering 'third_party/sleef'
2025-08-26T20:09:12.6511928Z Entering 'third_party/tensorpipe'
2025-08-26T20:09:12.6543627Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-08-26T20:09:12.6579169Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-08-26T20:09:12.6612119Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-08-26T20:09:12.6644949Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-08-26T20:09:12.6677018Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-08-26T20:09:12.6721692Z ##[endgroup]
2025-08-26T20:09:12.6722044Z ##[group]Persisting credentials for submodules
2025-08-26T20:09:12.6727733Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'url\.https\:\/\/github\.com\/\.insteadOf' && git config --local --unset-all 'url.https://github.com/.insteadOf' || :"
2025-08-26T20:09:12.6981718Z Entering 'android/libs/fbjni'
2025-08-26T20:09:12.7024538Z Entering 'third_party/FP16'
2025-08-26T20:09:12.7069675Z Entering 'third_party/FXdiv'
2025-08-26T20:09:12.7111714Z Entering 'third_party/NNPACK'
2025-08-26T20:09:12.7153098Z Entering 'third_party/NVTX'
2025-08-26T20:09:12.7196323Z Entering 'third_party/VulkanMemoryAllocator'
2025-08-26T20:09:12.7240425Z Entering 'third_party/XNNPACK'
2025-08-26T20:09:12.7296632Z Entering 'third_party/aiter'
2025-08-26T20:09:12.7339544Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-08-26T20:09:12.7386029Z Entering 'third_party/benchmark'
2025-08-26T20:09:12.7431258Z Entering 'third_party/composable_kernel'
2025-08-26T20:09:12.7481841Z Entering 'third_party/cpp-httplib'
2025-08-26T20:09:12.7523082Z Entering 'third_party/cpuinfo'
2025-08-26T20:09:12.7570394Z Entering 'third_party/cudnn_frontend'
2025-08-26T20:09:12.7610419Z Entering 'third_party/cutlass'
2025-08-26T20:09:12.7660173Z Entering 'third_party/fbgemm'
2025-08-26T20:09:12.7702960Z Entering 'third_party/fbgemm/external/asmjit'
2025-08-26T20:09:12.7746386Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-08-26T20:09:12.7792468Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-08-26T20:09:12.7833651Z Entering 'third_party/fbgemm/external/cutlass'
2025-08-26T20:09:12.7880603Z Entering 'third_party/fbgemm/external/googletest'
2025-08-26T20:09:12.7920970Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-08-26T20:09:12.7967092Z Entering 'third_party/fbgemm/external/json'
2025-08-26T20:09:12.8012762Z Entering 'third_party/flash-attention'
2025-08-26T20:09:12.8059696Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-08-26T20:09:12.8103552Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-08-26T20:09:12.8153377Z Entering 'third_party/flatbuffers'
2025-08-26T20:09:12.8197785Z Entering 'third_party/fmt'
2025-08-26T20:09:12.8240431Z Entering 'third_party/gemmlowp/gemmlowp'
2025-08-26T20:09:12.8282775Z Entering 'third_party/gloo'
2025-08-26T20:09:12.8329683Z Entering 'third_party/googletest'
2025-08-26T20:09:12.8374217Z Entering 'third_party/ideep'
2025-08-26T20:09:12.8419592Z Entering 'third_party/ideep/mkl-dnn'
2025-08-26T20:09:12.8470293Z Entering 'third_party/ittapi'
2025-08-26T20:09:12.8514837Z Entering 'third_party/kineto'
2025-08-26T20:09:12.8559460Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-08-26T20:09:12.8600453Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-08-26T20:09:12.8643906Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-08-26T20:09:12.8686161Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-08-26T20:09:12.8729117Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-08-26T20:09:12.8772262Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-08-26T20:09:12.8815485Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-08-26T20:09:12.8857794Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-08-26T20:09:12.8899770Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-08-26T20:09:12.8940033Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-08-26T20:09:12.8985084Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-08-26T20:09:12.9023974Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-08-26T20:09:12.9069385Z Entering 'third_party/kleidiai'
2025-08-26T20:09:12.9110089Z Entering 'third_party/mimalloc'
2025-08-26T20:09:12.9156709Z Entering 'third_party/nlohmann'
2025-08-26T20:09:12.9202343Z Entering 'third_party/onnx'
2025-08-26T20:09:12.9257047Z Entering 'third_party/onnx/third_party/pybind11'
2025-08-26T20:09:12.9301222Z Entering 'third_party/opentelemetry-cpp'
2025-08-26T20:09:12.9343306Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-08-26T20:09:12.9387648Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-08-26T20:09:12.9432259Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-08-26T20:09:12.9477997Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-08-26T20:09:12.9522262Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-08-26T20:09:12.9567481Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-08-26T20:09:12.9610379Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-08-26T20:09:12.9654119Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-08-26T20:09:12.9700053Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-08-26T20:09:12.9746388Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-08-26T20:09:12.9802095Z Entering 'third_party/pocketfft'
2025-08-26T20:09:12.9846301Z Entering 'third_party/protobuf'
2025-08-26T20:09:12.9890120Z Entering 'third_party/protobuf/third_party/benchmark'
2025-08-26T20:09:12.9929438Z Entering 'third_party/protobuf/third_party/googletest'
2025-08-26T20:09:12.9972708Z Entering 'third_party/psimd'
2025-08-26T20:09:13.0015930Z Entering 'third_party/pthreadpool'
2025-08-26T20:09:13.0059956Z Entering 'third_party/pybind11'
2025-08-26T20:09:13.0102534Z Entering 'third_party/python-peachpy'
2025-08-26T20:09:13.0143637Z Entering 'third_party/sleef'
2025-08-26T20:09:13.0189110Z Entering 'third_party/tensorpipe'
2025-08-26T20:09:13.0233615Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-08-26T20:09:13.0275556Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-08-26T20:09:13.0312106Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-08-26T20:09:13.0356127Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-08-26T20:09:13.0398283Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-08-26T20:09:13.0457131Z [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"
2025-08-26T20:09:13.0707099Z Entering 'android/libs/fbjni'
2025-08-26T20:09:13.0750176Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config	remote.origin.url
2025-08-26T20:09:13.0764465Z Entering 'third_party/FP16'
2025-08-26T20:09:13.0804970Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config	remote.origin.url
2025-08-26T20:09:13.0817397Z Entering 'third_party/FXdiv'
2025-08-26T20:09:13.0855383Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config	remote.origin.url
2025-08-26T20:09:13.0867395Z Entering 'third_party/NNPACK'
2025-08-26T20:09:13.0906900Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK/config	remote.origin.url
2025-08-26T20:09:13.0920726Z Entering 'third_party/NVTX'
2025-08-26T20:09:13.0961661Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NVTX/config	remote.origin.url
2025-08-26T20:09:13.0975113Z Entering 'third_party/VulkanMemoryAllocator'
2025-08-26T20:09:13.1017040Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/VulkanMemoryAllocator/config	remote.origin.url
2025-08-26T20:09:13.1030434Z Entering 'third_party/XNNPACK'
2025-08-26T20:09:13.1069415Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/XNNPACK/config	remote.origin.url
2025-08-26T20:09:13.1093002Z Entering 'third_party/aiter'
2025-08-26T20:09:13.1130618Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/aiter/config	remote.origin.url
2025-08-26T20:09:13.1159117Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-08-26T20:09:13.1183017Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/aiter/modules/3rdparty/composable_kernel/config	remote.origin.url
2025-08-26T20:09:13.1202686Z Entering 'third_party/benchmark'
2025-08-26T20:09:13.1244248Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/benchmark/config	remote.origin.url
2025-08-26T20:09:13.1258621Z Entering 'third_party/composable_kernel'
2025-08-26T20:09:13.1298791Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/composable_kernel/config	remote.origin.url
2025-08-26T20:09:13.1317237Z Entering 'third_party/cpp-httplib'
2025-08-26T20:09:13.1356263Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cpp-httplib/config	remote.origin.url
2025-08-26T20:09:13.1369409Z Entering 'third_party/cpuinfo'
2025-08-26T20:09:13.1410500Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cpuinfo/config	remote.origin.url
2025-08-26T20:09:13.1423271Z Entering 'third_party/cudnn_frontend'
2025-08-26T20:09:13.1462637Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cudnn_frontend/config	remote.origin.url
2025-08-26T20:09:13.1475606Z Entering 'third_party/cutlass'
2025-08-26T20:09:13.1516753Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cutlass/config	remote.origin.url
2025-08-26T20:09:13.1536304Z Entering 'third_party/fbgemm'
2025-08-26T20:09:13.1579338Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/config	remote.origin.url
2025-08-26T20:09:13.1592776Z Entering 'third_party/fbgemm/external/asmjit'
2025-08-26T20:09:13.1632921Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/asmjit/config	remote.origin.url
2025-08-26T20:09:13.1645665Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-08-26T20:09:13.1684813Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/composable_kernel/config	remote.origin.url
2025-08-26T20:09:13.1701019Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-08-26T20:09:13.1738354Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cpuinfo/config	remote.origin.url
2025-08-26T20:09:13.1750128Z Entering 'third_party/fbgemm/external/cutlass'
2025-08-26T20:09:13.1790602Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cutlass/config	remote.origin.url
2025-08-26T20:09:13.1808039Z Entering 'third_party/fbgemm/external/googletest'
2025-08-26T20:09:13.1847003Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/googletest/config	remote.origin.url
2025-08-26T20:09:13.1859534Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-08-26T20:09:13.1900180Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/hipify_torch/config	remote.origin.url
2025-08-26T20:09:13.1912617Z Entering 'third_party/fbgemm/external/json'
2025-08-26T20:09:13.1950166Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/json/config	remote.origin.url
2025-08-26T20:09:13.1967047Z Entering 'third_party/flash-attention'
2025-08-26T20:09:13.2007791Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/config	remote.origin.url
2025-08-26T20:09:13.2024397Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-08-26T20:09:13.2067523Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/modules/csrc/composable_kernel/config	remote.origin.url
2025-08-26T20:09:13.2084407Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-08-26T20:09:13.2120203Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/modules/csrc/cutlass/config	remote.origin.url
2025-08-26T20:09:13.2137814Z Entering 'third_party/flatbuffers'
2025-08-26T20:09:13.2176222Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/flatbuffers/config	remote.origin.url
2025-08-26T20:09:13.2190150Z Entering 'third_party/fmt'
2025-08-26T20:09:13.2230874Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fmt/config	remote.origin.url
2025-08-26T20:09:13.2244289Z Entering 'third_party/gemmlowp/gemmlowp'
2025-08-26T20:09:13.2285192Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/gemmlowp/gemmlowp/config	remote.origin.url
2025-08-26T20:09:13.2296902Z Entering 'third_party/gloo'
2025-08-26T20:09:13.2336736Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/gloo/config	remote.origin.url
2025-08-26T20:09:13.2351101Z Entering 'third_party/googletest'
2025-08-26T20:09:13.2392165Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/googletest/config	remote.origin.url
2025-08-26T20:09:13.2405304Z Entering 'third_party/ideep'
2025-08-26T20:09:13.2442158Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/ideep/config	remote.origin.url
2025-08-26T20:09:13.2455087Z Entering 'third_party/ideep/mkl-dnn'
2025-08-26T20:09:13.2497131Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/ideep/modules/mkl-dnn/config	remote.origin.url
2025-08-26T20:09:13.2519373Z Entering 'third_party/ittapi'
2025-08-26T20:09:13.2555687Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/ittapi/config	remote.origin.url
2025-08-26T20:09:13.2569484Z Entering 'third_party/kineto'
2025-08-26T20:09:13.2610590Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/config	remote.origin.url
2025-08-26T20:09:13.2623036Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-08-26T20:09:13.2661896Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/config	remote.origin.url
2025-08-26T20:09:13.2673606Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-08-26T20:09:13.2711425Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/DCGM/config	remote.origin.url
2025-08-26T20:09:13.2724890Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-08-26T20:09:13.2764766Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/cpr/config	remote.origin.url
2025-08-26T20:09:13.2777071Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-08-26T20:09:13.2816905Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/fmt/config	remote.origin.url
2025-08-26T20:09:13.2830669Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-08-26T20:09:13.2873852Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/gflags/config	remote.origin.url
2025-08-26T20:09:13.2886706Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-08-26T20:09:13.2924948Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/gflags/modules/doc/config	remote.origin.url
2025-08-26T20:09:13.2938352Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-08-26T20:09:13.2979915Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/glog/config	remote.origin.url
2025-08-26T20:09:13.2991053Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-08-26T20:09:13.3028597Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/googletest/config	remote.origin.url
2025-08-26T20:09:13.3039410Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-08-26T20:09:13.3077757Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/json/config	remote.origin.url
2025-08-26T20:09:13.3090761Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-08-26T20:09:13.3128965Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/pfs/config	remote.origin.url
2025-08-26T20:09:13.3142967Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-08-26T20:09:13.3182926Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/fmt/config	remote.origin.url
2025-08-26T20:09:13.3195636Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-08-26T20:09:13.3234221Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/googletest/config	remote.origin.url
2025-08-26T20:09:13.3249065Z Entering 'third_party/kleidiai'
2025-08-26T20:09:13.3291340Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kleidiai/config	remote.origin.url
2025-08-26T20:09:13.3304331Z Entering 'third_party/mimalloc'
2025-08-26T20:09:13.3345460Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/mimalloc/config	remote.origin.url
2025-08-26T20:09:13.3359007Z Entering 'third_party/nlohmann'
2025-08-26T20:09:13.3396587Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/nlohmann/config	remote.origin.url
2025-08-26T20:09:13.3410905Z Entering 'third_party/onnx'
2025-08-26T20:09:13.3447417Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx/config	remote.origin.url
2025-08-26T20:09:13.3472697Z Entering 'third_party/onnx/third_party/pybind11'
2025-08-26T20:09:13.3510462Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx/modules/third_party/pybind11/config	remote.origin.url
2025-08-26T20:09:13.3524438Z Entering 'third_party/opentelemetry-cpp'
2025-08-26T20:09:13.3563015Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/config	remote.origin.url
2025-08-26T20:09:13.3577218Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-08-26T20:09:13.3615828Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/benchmark/config	remote.origin.url
2025-08-26T20:09:13.3627866Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-08-26T20:09:13.3667128Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/googletest/config	remote.origin.url
2025-08-26T20:09:13.3679443Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-08-26T20:09:13.3718472Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/ms-gsl/config	remote.origin.url
2025-08-26T20:09:13.3730069Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-08-26T20:09:13.3770760Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/nlohmann-json/config	remote.origin.url
2025-08-26T20:09:13.3783505Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-08-26T20:09:13.3822810Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/opentelemetry-proto/config	remote.origin.url
2025-08-26T20:09:13.3835691Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-08-26T20:09:13.3878209Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/opentracing-cpp/config	remote.origin.url
2025-08-26T20:09:13.3889235Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-08-26T20:09:13.3925868Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/config	remote.origin.url
2025-08-26T20:09:13.3935581Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-08-26T20:09:13.3976869Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/modules/civetweb/config	remote.origin.url
2025-08-26T20:09:13.3990466Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-08-26T20:09:13.4031260Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/modules/googletest/config	remote.origin.url
2025-08-26T20:09:13.4046513Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-08-26T20:09:13.4086149Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/tools/vcpkg/config	remote.origin.url
2025-08-26T20:09:13.4112523Z Entering 'third_party/pocketfft'
2025-08-26T20:09:13.4151326Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/pocketfft/config	remote.origin.url
2025-08-26T20:09:13.4163849Z Entering 'third_party/protobuf'
2025-08-26T20:09:13.4203588Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/config	remote.origin.url
2025-08-26T20:09:13.4218664Z Entering 'third_party/protobuf/third_party/benchmark'
2025-08-26T20:09:13.4259391Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/benchmark/config	remote.origin.url
2025-08-26T20:09:13.4273366Z Entering 'third_party/protobuf/third_party/googletest'
2025-08-26T20:09:13.4314838Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/googletest/config	remote.origin.url
2025-08-26T20:09:13.4328039Z Entering 'third_party/psimd'
2025-08-26T20:09:13.4369969Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/psimd/config	remote.origin.url
2025-08-26T20:09:13.4380876Z Entering 'third_party/pthreadpool'
2025-08-26T20:09:13.4420496Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/pthreadpool/config	remote.origin.url
2025-08-26T20:09:13.4431524Z Entering 'third_party/pybind11'
2025-08-26T20:09:13.4473134Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/pybind11/config	remote.origin.url
2025-08-26T20:09:13.4487320Z Entering 'third_party/python-peachpy'
2025-08-26T20:09:13.4527445Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/python-peachpy/config	remote.origin.url
2025-08-26T20:09:13.4542100Z Entering 'third_party/sleef'
2025-08-26T20:09:13.4583992Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/sleef/config	remote.origin.url
2025-08-26T20:09:13.4596863Z Entering 'third_party/tensorpipe'
2025-08-26T20:09:13.4639002Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/config	remote.origin.url
2025-08-26T20:09:13.4650434Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-08-26T20:09:13.4688668Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/googletest/config	remote.origin.url
2025-08-26T20:09:13.4700892Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-08-26T20:09:13.4738899Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libnop/config	remote.origin.url
2025-08-26T20:09:13.4751422Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-08-26T20:09:13.4793023Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libuv/config	remote.origin.url
2025-08-26T20:09:13.4805705Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-08-26T20:09:13.4845280Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/config	remote.origin.url
2025-08-26T20:09:13.4857301Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-08-26T20:09:13.4897427Z 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
2025-08-26T20:09:13.5808373Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:'
2025-08-26T20:09:13.6055778Z Entering 'android/libs/fbjni'
2025-08-26T20:09:13.6086230Z Entering 'third_party/FP16'
2025-08-26T20:09:13.6119445Z Entering 'third_party/FXdiv'
2025-08-26T20:09:13.6154330Z Entering 'third_party/NNPACK'
2025-08-26T20:09:13.6188101Z Entering 'third_party/NVTX'
2025-08-26T20:09:13.6220593Z Entering 'third_party/VulkanMemoryAllocator'
2025-08-26T20:09:13.6253810Z Entering 'third_party/XNNPACK'
2025-08-26T20:09:13.6295864Z Entering 'third_party/aiter'
2025-08-26T20:09:13.6326243Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-08-26T20:09:13.6364523Z Entering 'third_party/benchmark'
2025-08-26T20:09:13.6397287Z Entering 'third_party/composable_kernel'
2025-08-26T20:09:13.6436334Z Entering 'third_party/cpp-httplib'
2025-08-26T20:09:13.6472507Z Entering 'third_party/cpuinfo'
2025-08-26T20:09:13.6505914Z Entering 'third_party/cudnn_frontend'
2025-08-26T20:09:13.6539372Z Entering 'third_party/cutlass'
2025-08-26T20:09:13.6577988Z Entering 'third_party/fbgemm'
2025-08-26T20:09:13.6614871Z Entering 'third_party/fbgemm/external/asmjit'
2025-08-26T20:09:13.6648747Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-08-26T20:09:13.6685430Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-08-26T20:09:13.6715962Z Entering 'third_party/fbgemm/external/cutlass'
2025-08-26T20:09:13.6756104Z Entering 'third_party/fbgemm/external/googletest'
2025-08-26T20:09:13.6788089Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-08-26T20:09:13.6819961Z Entering 'third_party/fbgemm/external/json'
2025-08-26T20:09:13.6855019Z Entering 'third_party/flash-attention'
2025-08-26T20:09:13.6888748Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-08-26T20:09:13.6925307Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-08-26T20:09:13.6966152Z Entering 'third_party/flatbuffers'
2025-08-26T20:09:13.7001358Z Entering 'third_party/fmt'
2025-08-26T20:09:13.7034925Z Entering 'third_party/gemmlowp/gemmlowp'
2025-08-26T20:09:13.7071376Z Entering 'third_party/gloo'
2025-08-26T20:09:13.7105649Z Entering 'third_party/googletest'
2025-08-26T20:09:13.7141090Z Entering 'third_party/ideep'
2025-08-26T20:09:13.7173329Z Entering 'third_party/ideep/mkl-dnn'
2025-08-26T20:09:13.7210395Z Entering 'third_party/ittapi'
2025-08-26T20:09:13.7242403Z Entering 'third_party/kineto'
2025-08-26T20:09:13.7275070Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-08-26T20:09:13.7307726Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-08-26T20:09:13.7343145Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-08-26T20:09:13.7376259Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-08-26T20:09:13.7411889Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-08-26T20:09:13.7441210Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-08-26T20:09:13.7475032Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-08-26T20:09:13.7506933Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-08-26T20:09:13.7538640Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-08-26T20:09:13.7570737Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-08-26T20:09:13.7603721Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-08-26T20:09:13.7634846Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-08-26T20:09:13.7667609Z Entering 'third_party/kleidiai'
2025-08-26T20:09:13.7700246Z Entering 'third_party/mimalloc'
2025-08-26T20:09:13.7733330Z Entering 'third_party/nlohmann'
2025-08-26T20:09:13.7768291Z Entering 'third_party/onnx'
2025-08-26T20:09:13.7814875Z Entering 'third_party/onnx/third_party/pybind11'
2025-08-26T20:09:13.7849417Z Entering 'third_party/opentelemetry-cpp'
2025-08-26T20:09:13.7884536Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-08-26T20:09:13.7919048Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-08-26T20:09:13.7952125Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-08-26T20:09:13.7984291Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-08-26T20:09:13.8016386Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-08-26T20:09:13.8047873Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-08-26T20:09:13.8079456Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-08-26T20:09:13.8111779Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-08-26T20:09:13.8146347Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-08-26T20:09:13.8179429Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-08-26T20:09:13.8224772Z Entering 'third_party/pocketfft'
2025-08-26T20:09:13.8257663Z Entering 'third_party/protobuf'
2025-08-26T20:09:13.8293626Z Entering 'third_party/protobuf/third_party/benchmark'
2025-08-26T20:09:13.8324787Z Entering 'third_party/protobuf/third_party/googletest'
2025-08-26T20:09:13.8359966Z Entering 'third_party/psimd'
2025-08-26T20:09:13.8394447Z Entering 'third_party/pthreadpool'
2025-08-26T20:09:13.8426464Z Entering 'third_party/pybind11'
2025-08-26T20:09:13.8461749Z Entering 'third_party/python-peachpy'
2025-08-26T20:09:13.8492672Z Entering 'third_party/sleef'
2025-08-26T20:09:13.8526619Z Entering 'third_party/tensorpipe'
2025-08-26T20:09:13.8561267Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-08-26T20:09:13.8593620Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-08-26T20:09:13.8624735Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-08-26T20:09:13.8657293Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-08-26T20:09:13.8687620Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-08-26T20:09:13.8735715Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:'
2025-08-26T20:09:13.8975800Z Entering 'android/libs/fbjni'
2025-08-26T20:09:13.9006698Z Entering 'third_party/FP16'
2025-08-26T20:09:13.9039189Z Entering 'third_party/FXdiv'
2025-08-26T20:09:13.9072235Z Entering 'third_party/NNPACK'
2025-08-26T20:09:13.9103131Z Entering 'third_party/NVTX'
2025-08-26T20:09:13.9136583Z Entering 'third_party/VulkanMemoryAllocator'
2025-08-26T20:09:13.9170160Z Entering 'third_party/XNNPACK'
2025-08-26T20:09:13.9211325Z Entering 'third_party/aiter'
2025-08-26T20:09:13.9244065Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-08-26T20:09:13.9282058Z Entering 'third_party/benchmark'
2025-08-26T20:09:13.9313314Z Entering 'third_party/composable_kernel'
2025-08-26T20:09:13.9353091Z Entering 'third_party/cpp-httplib'
2025-08-26T20:09:13.9388096Z Entering 'third_party/cpuinfo'
2025-08-26T20:09:13.9421201Z Entering 'third_party/cudnn_frontend'
2025-08-26T20:09:13.9454270Z Entering 'third_party/cutlass'
2025-08-26T20:09:13.9493598Z Entering 'third_party/fbgemm'
2025-08-26T20:09:13.9526588Z Entering 'third_party/fbgemm/external/asmjit'
2025-08-26T20:09:13.9558576Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-08-26T20:09:13.9595221Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-08-26T20:09:13.9627938Z Entering 'third_party/fbgemm/external/cutlass'
2025-08-26T20:09:13.9666044Z Entering 'third_party/fbgemm/external/googletest'
2025-08-26T20:09:13.9702056Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-08-26T20:09:13.9732751Z Entering 'third_party/fbgemm/external/json'
2025-08-26T20:09:13.9767416Z Entering 'third_party/flash-attention'
2025-08-26T20:09:13.9798325Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-08-26T20:09:13.9834395Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-08-26T20:09:13.9872694Z Entering 'third_party/flatbuffers'
2025-08-26T20:09:13.9906349Z Entering 'third_party/fmt'
2025-08-26T20:09:13.9938285Z Entering 'third_party/gemmlowp/gemmlowp'
2025-08-26T20:09:13.9971933Z Entering 'third_party/gloo'
2025-08-26T20:09:14.0005466Z Entering 'third_party/googletest'
2025-08-26T20:09:14.0038226Z Entering 'third_party/ideep'
2025-08-26T20:09:14.0069477Z Entering 'third_party/ideep/mkl-dnn'
2025-08-26T20:09:14.0106348Z Entering 'third_party/ittapi'
2025-08-26T20:09:14.0136915Z Entering 'third_party/kineto'
2025-08-26T20:09:14.0198115Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-08-26T20:09:14.0229204Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-08-26T20:09:14.0263179Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-08-26T20:09:14.0294695Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-08-26T20:09:14.0327290Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-08-26T20:09:14.0359205Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-08-26T20:09:14.0393929Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-08-26T20:09:14.0428399Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-08-26T20:09:14.0461218Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-08-26T20:09:14.0493685Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-08-26T20:09:14.0525697Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-08-26T20:09:14.0556055Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-08-26T20:09:14.0588896Z Entering 'third_party/kleidiai'
2025-08-26T20:09:14.0621858Z Entering 'third_party/mimalloc'
2025-08-26T20:09:14.0653856Z Entering 'third_party/nlohmann'
2025-08-26T20:09:14.0686598Z Entering 'third_party/onnx'
2025-08-26T20:09:14.0730785Z Entering 'third_party/onnx/third_party/pybind11'
2025-08-26T20:09:14.0767571Z Entering 'third_party/opentelemetry-cpp'
2025-08-26T20:09:14.0798816Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-08-26T20:09:14.0828326Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-08-26T20:09:14.0857473Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-08-26T20:09:14.0887674Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-08-26T20:09:14.0921522Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-08-26T20:09:14.0952307Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-08-26T20:09:14.0983488Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-08-26T20:09:14.1016864Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-08-26T20:09:14.1049611Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-08-26T20:09:14.1081525Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-08-26T20:09:14.1125959Z Entering 'third_party/pocketfft'
2025-08-26T20:09:14.1159343Z Entering 'third_party/protobuf'
2025-08-26T20:09:14.1193667Z Entering 'third_party/protobuf/third_party/benchmark'
2025-08-26T20:09:14.1224860Z Entering 'third_party/protobuf/third_party/googletest'
2025-08-26T20:09:14.1257123Z Entering 'third_party/psimd'
2025-08-26T20:09:14.1290485Z Entering 'third_party/pthreadpool'
2025-08-26T20:09:14.1319844Z Entering 'third_party/pybind11'
2025-08-26T20:09:14.1351977Z Entering 'third_party/python-peachpy'
2025-08-26T20:09:14.1385405Z Entering 'third_party/sleef'
2025-08-26T20:09:14.1419257Z Entering 'third_party/tensorpipe'
2025-08-26T20:09:14.1452898Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-08-26T20:09:14.1484496Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-08-26T20:09:14.1516767Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-08-26T20:09:14.1550163Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-08-26T20:09:14.1581934Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-08-26T20:09:14.1626900Z ##[endgroup]
2025-08-26T20:09:14.1653964Z [command]/usr/bin/git log -1 --format=%H
2025-08-26T20:09:14.1670686Z 262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T20:09:14.1806046Z Prepare all required actions
2025-08-26T20:09:14.1806470Z Getting action download info
2025-08-26T20:09:14.3474635Z ##[group]Run ./.github/actions/setup-linux
2025-08-26T20:09:14.3474886Z env:
2025-08-26T20:09:14.3475066Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:09:14.3475276Z ##[endgroup]
2025-08-26T20:09:14.3513215Z ##[group]Run set -euo pipefail
2025-08-26T20:09:14.3513468Z set -euo pipefail
2025-08-26T20:09:14.3513680Z function get_ec2_metadata() {
2025-08-26T20:09:14.3513933Z   # Pulled from instance metadata endpoint for EC2
2025-08-26T20:09:14.3514337Z   # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html
2025-08-26T20:09:14.3514687Z   category=$1
2025-08-26T20:09:14.3514929Z   # If it is GCP runner (runner name contains gcp), do not run this
2025-08-26T20:09:14.3515208Z   runner_name_str=i-0e4d03f5ccda2c09d
2025-08-26T20:09:14.3515485Z   if [[ -f /.inarc ]]; then
2025-08-26T20:09:14.3515718Z     echo "ARC Runner, no info on ec2 metadata"
2025-08-26T20:09:14.3515965Z   elif [[ $runner_name_str == *"gcp"* ]]; then
2025-08-26T20:09:14.3516260Z     echo "Runner is from Google Cloud Platform, No info on ec2 metadata"
2025-08-26T20:09:14.3516534Z   else
2025-08-26T20:09:14.3517063Z     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}"
2025-08-26T20:09:14.3517581Z   fi
2025-08-26T20:09:14.3517734Z }
2025-08-26T20:09:14.3517927Z echo "ami-id: $(get_ec2_metadata ami-id)"
2025-08-26T20:09:14.3518207Z echo "instance-id: $(get_ec2_metadata instance-id)"
2025-08-26T20:09:14.3518512Z echo "instance-type: $(get_ec2_metadata instance-type)"
2025-08-26T20:09:14.3518775Z echo "system info $(uname -a)"
2025-08-26T20:09:14.3524594Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:09:14.3524845Z env:
2025-08-26T20:09:14.3525006Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:09:14.3525184Z ##[endgroup]
2025-08-26T20:09:14.3639008Z ami-id: ami-05ffe3c48a9991133
2025-08-26T20:09:14.3715785Z instance-id: i-0e4d03f5ccda2c09d
2025-08-26T20:09:14.3790263Z instance-type: c7i.metal-24xl
2025-08-26T20:09:14.3798577Z system info Linux ip-10-0-38-113.ec2.internal 6.1.141-155.222.amzn2023.x86_64 #1 SMP PREEMPT_DYNAMIC Tue Jun 17 10:29:47 UTC 2025 x86_64 x86_64 x86_64 GNU/Linux
2025-08-26T20:09:14.3822398Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-08-26T20:09:14.3822993Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-08-26T20:09:14.3828156Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:09:14.3828431Z env:
2025-08-26T20:09:14.3828597Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:09:14.3828795Z ##[endgroup]
2025-08-26T20:09:14.3876189Z ##[group]Run if systemctl is-active --quiet docker; then
2025-08-26T20:09:14.3876463Z if systemctl is-active --quiet docker; then
2025-08-26T20:09:14.3876703Z     echo "Docker daemon is running...";
2025-08-26T20:09:14.3876914Z else
2025-08-26T20:09:14.3877135Z     echo "Starting docker daemon..." && sudo systemctl start docker;
2025-08-26T20:09:14.3877384Z fi
2025-08-26T20:09:14.3881062Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:09:14.3881294Z env:
2025-08-26T20:09:14.3881441Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:09:14.3881615Z ##[endgroup]
2025-08-26T20:09:14.3936720Z Docker daemon is running...
2025-08-26T20:09:14.3969857Z ##[group]Run nick-fields/retry@v3.0.0
2025-08-26T20:09:14.3970089Z with:
2025-08-26T20:09:14.3970261Z   shell: bash
2025-08-26T20:09:14.3970546Z   timeout_minutes: 5
2025-08-26T20:09:14.3970731Z   max_attempts: 3
2025-08-26T20:09:14.3970921Z   retry_wait_seconds: 30
2025-08-26T20:09:14.3972305Z   command: AWS_ACCOUNT_ID=$(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

2025-08-26T20:09:14.3973517Z   polling_interval_seconds: 1
2025-08-26T20:09:14.3973704Z   warning_on_retry: true
2025-08-26T20:09:14.3973878Z   continue_on_error: false
2025-08-26T20:09:14.3974049Z env:
2025-08-26T20:09:14.3974194Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:09:14.3974364Z   AWS_RETRY_MODE: standard
2025-08-26T20:09:14.3974531Z   AWS_MAX_ATTEMPTS: 5
2025-08-26T20:09:14.3974702Z   AWS_DEFAULT_REGION: us-east-1
2025-08-26T20:09:14.3974873Z ##[endgroup]
2025-08-26T20:09:15.2060940Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-08-26T20:09:15.2061481Z Configure a credential helper to remove this warning. See
2025-08-26T20:09:15.2061878Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-08-26T20:09:15.2062125Z 
2025-08-26T20:09:15.2062192Z Login Succeeded
2025-08-26T20:09:15.4605662Z Command completed after 1 attempt(s).
2025-08-26T20:09:15.4652437Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-08-26T20:09:15.4652773Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-08-26T20:09:15.4653050Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-08-26T20:09:15.4658296Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:09:15.4658529Z env:
2025-08-26T20:09:15.4658687Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:09:15.4658860Z ##[endgroup]
2025-08-26T20:09:15.4749493Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2025-08-26T20:09:15.4749845Z # ignore expansion of "docker ps -q" since it could be empty
2025-08-26T20:09:15.4750125Z # shellcheck disable=SC2046
2025-08-26T20:09:15.4750347Z docker stop $(docker ps -q) || true
2025-08-26T20:09:15.4750560Z # Prune all of the docker images
2025-08-26T20:09:15.4750774Z docker system prune -af
2025-08-26T20:09:15.4754842Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:09:15.4755084Z env:
2025-08-26T20:09:15.4755238Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:09:15.4755419Z ##[endgroup]
2025-08-26T20:09:15.5213036Z "docker stop" requires at least 1 argument.
2025-08-26T20:09:15.5213313Z See 'docker stop --help'.
2025-08-26T20:09:15.5213448Z 
2025-08-26T20:09:15.5213574Z Usage:  docker stop [OPTIONS] CONTAINER [CONTAINER...]
2025-08-26T20:09:15.5213733Z 
2025-08-26T20:09:15.5213810Z Stop one or more running containers
2025-08-26T20:09:15.5377749Z Total reclaimed space: 0B
2025-08-26T20:09:15.5409998Z ##[group]Run set +e
2025-08-26T20:09:15.5410194Z set +e
2025-08-26T20:09:15.5410370Z set -x
2025-08-26T20:09:15.5410523Z 
2025-08-26T20:09:15.5410692Z PT_DOMAIN=download.pytorch.org
2025-08-26T20:09:15.5411031Z # TODO: Flaky access to download.pytorch.org https://github.com/pytorch/pytorch/issues/100400,
2025-08-26T20:09:15.5411447Z # cleaning this up once the issue is fixed. There are more than one resolved IP here, the last
2025-08-26T20:09:15.5411748Z # one is returned at random
2025-08-26T20:09:15.5411996Z RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" | tail -n1)
2025-08-26T20:09:15.5412214Z 
2025-08-26T20:09:15.5412470Z if [ -z "${RESOLVED_IP}" ]; then
2025-08-26T20:09:15.5412735Z   echo "Couldn't resolve ${PT_DOMAIN}, retrying with Google DNS..."
2025-08-26T20:09:15.5413041Z   RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" @8.8.8.8 | tail -n1)
2025-08-26T20:09:15.5413272Z 
2025-08-26T20:09:15.5413427Z   if [ -z "${RESOLVED_IP}" ]; then
2025-08-26T20:09:15.5413747Z     echo "Couldn't resolve ${PT_DOMAIN}, exiting..."
2025-08-26T20:09:15.5413965Z     exit 1
2025-08-26T20:09:15.5414120Z   fi
2025-08-26T20:09:15.5414260Z fi
2025-08-26T20:09:15.5414403Z 
2025-08-26T20:09:15.5414574Z if grep -r "${PT_DOMAIN}" /etc/hosts; then
2025-08-26T20:09:15.5414797Z   # Clean up any old records first
2025-08-26T20:09:15.5415011Z   sudo sed -i "/${PT_DOMAIN}/d" /etc/hosts
2025-08-26T20:09:15.5415212Z fi
2025-08-26T20:09:15.5415350Z 
2025-08-26T20:09:15.5415553Z echo "${RESOLVED_IP} ${PT_DOMAIN}" | sudo tee -a /etc/hosts
2025-08-26T20:09:15.5415785Z cat /etc/hosts
2025-08-26T20:09:15.5419711Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:09:15.5419943Z env:
2025-08-26T20:09:15.5420102Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:09:15.5420273Z ##[endgroup]
2025-08-26T20:09:15.5437389Z + PT_DOMAIN=download.pytorch.org
2025-08-26T20:09:15.5443865Z ++ dig -4 +short download.pytorch.org
2025-08-26T20:09:15.5444504Z ++ tail -n1
2025-08-26T20:09:15.5843238Z + RESOLVED_IP=18.160.10.76
2025-08-26T20:09:15.5843493Z + '[' -z 18.160.10.76 ']'
2025-08-26T20:09:15.5843717Z + grep -r download.pytorch.org /etc/hosts
2025-08-26T20:09:15.5855121Z + echo '18.160.10.76 download.pytorch.org'
2025-08-26T20:09:15.5856993Z + sudo tee -a /etc/hosts
2025-08-26T20:09:15.9004210Z 18.160.10.76 download.pytorch.org
2025-08-26T20:09:15.9015076Z + cat /etc/hosts
2025-08-26T20:09:15.9021262Z 127.0.0.1   localhost localhost.localdomain localhost4 localhost4.localdomain4
2025-08-26T20:09:15.9025039Z ::1         localhost6 localhost6.localdomain6
2025-08-26T20:09:15.9025301Z 18.160.10.76 download.pytorch.org
2025-08-26T20:09:15.9128057Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main
2025-08-26T20:09:15.9128338Z with:
2025-08-26T20:09:15.9128823Z   docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:09:15.9129359Z   use-custom-docker-registry: true
2025-08-26T20:09:15.9129560Z   docker-build-dir: .ci/docker
2025-08-26T20:09:15.9129752Z   docker-build-script: ./build.sh
2025-08-26T20:09:15.9129943Z   working-directory: .
2025-08-26T20:09:15.9130166Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-26T20:09:15.9130400Z   force-push: false
2025-08-26T20:09:15.9130553Z env:
2025-08-26T20:09:15.9130695Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:09:15.9130865Z ##[endgroup]
2025-08-26T20:09:15.9152357Z ##[group]Run set -ex
2025-08-26T20:09:15.9152570Z set -ex
2025-08-26T20:09:15.9152723Z 
2025-08-26T20:09:15.9153008Z # If the docker build directory or the build script doesn't exist, the action will
2025-08-26T20:09:15.9153389Z # gracefully return the docker image name as it is.  Pulling docker image in Linux
2025-08-26T20:09:15.9153714Z # job could then download the pre-built image as usual
2025-08-26T20:09:15.9154108Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then
2025-08-26T20:09:15.9154468Z   echo "skip=false" >> "${GITHUB_OUTPUT}"
2025-08-26T20:09:15.9154677Z else
2025-08-26T20:09:15.9154851Z   echo "skip=true" >> "${GITHUB_OUTPUT}"
2025-08-26T20:09:15.9155112Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2025-08-26T20:09:15.9155351Z 
2025-08-26T20:09:15.9155670Z   echo "Not using custom ECR registry.  Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..."
2025-08-26T20:09:15.9156019Z   exit 0
2025-08-26T20:09:15.9156160Z fi
2025-08-26T20:09:15.9156304Z 
2025-08-26T20:09:15.9156514Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then
2025-08-26T20:09:15.9156936Z   # The docker image name already includes the ECR prefix and tag, so we can just
2025-08-26T20:09:15.9157242Z   # use it as it is, but first let's extract the tag
2025-08-26T20:09:15.9157520Z   DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}')
2025-08-26T20:09:15.9157818Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-08-26T20:09:15.9158099Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2025-08-26T20:09:15.9158341Z else
2025-08-26T20:09:15.9158518Z   if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then
2025-08-26T20:09:15.9158744Z     CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:}
2025-08-26T20:09:15.9158990Z     DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*}
2025-08-26T20:09:15.9159196Z   fi
2025-08-26T20:09:15.9159465Z   DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}")
2025-08-26T20:09:15.9159806Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-08-26T20:09:15.9160165Z   echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-08-26T20:09:15.9160554Z   echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}"
2025-08-26T20:09:15.9160804Z fi
2025-08-26T20:09:15.9166151Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:09:15.9166389Z env:
2025-08-26T20:09:15.9166556Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:09:15.9166753Z   REPO_NAME: pytorch
2025-08-26T20:09:15.9167363Z   DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:09:15.9167874Z   DOCKER_BUILD_DIR: .ci/docker
2025-08-26T20:09:15.9168063Z   DOCKER_BUILD_SCRIPT: ./build.sh
2025-08-26T20:09:15.9168304Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-26T20:09:15.9168563Z   USE_CUSTOM_DOCKER_REGISTRY: true
2025-08-26T20:09:15.9168757Z   CUSTOM_TAG_PREFIX: 
2025-08-26T20:09:15.9168917Z ##[endgroup]
2025-08-26T20:09:15.9186421Z + [[ -d .ci/docker ]]
2025-08-26T20:09:15.9186642Z + [[ -f .ci/docker/./build.sh ]]
2025-08-26T20:09:15.9186843Z + [[ true == \t\r\u\e ]]
2025-08-26T20:09:15.9187021Z + echo skip=false
2025-08-26T20:09:15.9187763Z + [[ 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 == *\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* ]]
2025-08-26T20:09:15.9192608Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:09:15.9193963Z ++ awk -F '[:,]' '{print $2}'
2025-08-26T20:09:15.9211114Z + DOCKER_TAG=pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:09:15.9211676Z + echo docker-tag=pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:09:15.9212364Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:09:15.9236804Z ##[group]Run set +e
2025-08-26T20:09:15.9237025Z set +e
2025-08-26T20:09:15.9237188Z set -x
2025-08-26T20:09:15.9237344Z 
2025-08-26T20:09:15.9237484Z login() {
2025-08-26T20:09:15.9237781Z   aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1"
2025-08-26T20:09:15.9238101Z }
2025-08-26T20:09:15.9238244Z 
2025-08-26T20:09:15.9238377Z retry () {
2025-08-26T20:09:15.9238556Z   $*  || (sleep 1 && $*) || (sleep 2 && $*)
2025-08-26T20:09:15.9238844Z }
2025-08-26T20:09:15.9238985Z 
2025-08-26T20:09:15.9239134Z retry login "${DOCKER_REGISTRY}"
2025-08-26T20:09:15.9239327Z 
2025-08-26T20:09:15.9239479Z START_TIME=$(date +%s)
2025-08-26T20:09:15.9239679Z # Wait up to 120 minutes
2025-08-26T20:09:15.9239916Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do
2025-08-26T20:09:15.9240200Z   # Check if image already exists, if it does then skip building it
2025-08-26T20:09:15.9240489Z   if docker manifest inspect "${DOCKER_IMAGE}"; then
2025-08-26T20:09:15.9240710Z     exit 0
2025-08-26T20:09:15.9240866Z   fi
2025-08-26T20:09:15.9241006Z 
2025-08-26T20:09:15.9241242Z   # NB: This flag is used by Docker build workflow to push the image to ECR, so we can
2025-08-26T20:09:15.9241609Z   # use this to differentiate between the Docker build and regular build jobs. For the
2025-08-26T20:09:15.9241979Z   # latter, it will wait for the Docker images to become available before continuing
2025-08-26T20:09:15.9242282Z   if [ "${DOCKER_PUSH:-false}" == "true" ]; then
2025-08-26T20:09:15.9242520Z     # It's a Docker build job, let's build the image
2025-08-26T20:09:15.9242729Z     break
2025-08-26T20:09:15.9242883Z   else
2025-08-26T20:09:15.9243098Z     # It's a regular build job, wait for the image to become available
2025-08-26T20:09:15.9243333Z     sleep 300
2025-08-26T20:09:15.9243501Z   fi
2025-08-26T20:09:15.9243645Z done
2025-08-26T20:09:15.9243788Z 
2025-08-26T20:09:15.9243998Z # NB: This part requires a full checkout. Otherwise, the merge base will
2025-08-26T20:09:15.9244376Z # be empty.  The default action would be to continue rebuild the image
2025-08-26T20:09:15.9244674Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then
2025-08-26T20:09:15.9244947Z   # if we're on the base branch then use the parent commit
2025-08-26T20:09:15.9245191Z   MERGE_BASE=$(git rev-parse HEAD~)
2025-08-26T20:09:15.9245380Z else
2025-08-26T20:09:15.9245586Z   # otherwise we're on a PR, so use the most recent base commit
2025-08-26T20:09:15.9245861Z   MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION")
2025-08-26T20:09:15.9246073Z fi
2025-08-26T20:09:15.9246209Z 
2025-08-26T20:09:15.9246370Z if [[ -z "${MERGE_BASE}" ]]; then
2025-08-26T20:09:15.9246591Z   echo "rebuild=true" >> "${GITHUB_OUTPUT}"
2025-08-26T20:09:15.9246795Z 
2025-08-26T20:09:15.9247063Z   echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..."
2025-08-26T20:09:15.9247372Z   exit 0
2025-08-26T20:09:15.9247525Z fi
2025-08-26T20:09:15.9247669Z 
2025-08-26T20:09:15.9247863Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then
2025-08-26T20:09:15.9248233Z   echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit"
2025-08-26T20:09:15.9248554Z   exit 1
2025-08-26T20:09:15.9248703Z fi
2025-08-26T20:09:15.9248843Z 
2025-08-26T20:09:15.9249058Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}")
2025-08-26T20:09:15.9249423Z # If no image exists but the hash is the same as the previous hash then we should error out here
2025-08-26T20:09:15.9249748Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then
2025-08-26T20:09:15.9250130Z   echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch"
2025-08-26T20:09:15.9250544Z   echo "         Will re-build docker image to store in local cache, TTS may be longer"
2025-08-26T20:09:15.9250793Z fi
2025-08-26T20:09:15.9250974Z 
2025-08-26T20:09:15.9251148Z echo "rebuild=true" >> "${GITHUB_OUTPUT}"
2025-08-26T20:09:15.9254879Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:09:15.9255113Z env:
2025-08-26T20:09:15.9255269Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:09:15.9255450Z   DOCKER_BUILD_DIR: .ci/docker
2025-08-26T20:09:15.9255665Z   BASE_REVISION: 262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T20:09:15.9256213Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:09:15.9256886Z   DOCKER_TAG: pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:09:15.9257307Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-26T20:09:15.9257543Z   DOCKER_PUSH: 
2025-08-26T20:09:15.9257690Z ##[endgroup]
2025-08-26T20:09:15.9275074Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-26T20:09:15.9275369Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-26T20:09:15.9277364Z + aws ecr get-login-password --region us-east-1
2025-08-26T20:09:15.9278390Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-26T20:09:16.3046407Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-08-26T20:09:16.3046797Z Configure a credential helper to remove this warning. See
2025-08-26T20:09:16.3047150Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-08-26T20:09:16.3047367Z 
2025-08-26T20:09:16.3047605Z Login Succeeded
2025-08-26T20:09:16.3061157Z ++ date +%s
2025-08-26T20:09:16.3068269Z + START_TIME=1756238956
2025-08-26T20:09:16.3070926Z ++ date +%s
2025-08-26T20:09:16.3077913Z + [[ 1756231756 -lt 1756238956 ]]
2025-08-26T20:09:16.3078573Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:09:16.5370800Z {
2025-08-26T20:09:16.5371093Z 	"schemaVersion": 2,
2025-08-26T20:09:16.5371415Z 	"mediaType": "application/vnd.docker.distribution.manifest.v2+json",
2025-08-26T20:09:16.5371746Z 	"config": {
2025-08-26T20:09:16.5372324Z 		"mediaType": "application/vnd.docker.container.image.v1+json",
2025-08-26T20:09:16.5372646Z 		"size": 30011,
2025-08-26T20:09:16.5372916Z 		"digest": "sha256:932da535a977ab0b0008738bb22f52295068c34f7c3dedec486c588f4545c297"
2025-08-26T20:09:16.5373196Z 	},
2025-08-26T20:09:16.5373332Z 	"layers": [
2025-08-26T20:09:16.5373479Z 		{
2025-08-26T20:09:16.5373699Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:16.5373954Z 			"size": 30448173,
2025-08-26T20:09:16.5374242Z 			"digest": "sha256:660ffc76f83b006444a5731b215acc2e35138d8be5cac8ed1ffd40f947117495"
2025-08-26T20:09:16.5374525Z 		},
2025-08-26T20:09:16.5374657Z 		{
2025-08-26T20:09:16.5374855Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:16.5375111Z 			"size": 1553,
2025-08-26T20:09:16.5375371Z 			"digest": "sha256:4d54b123ef9dd9869d9af411fedf1d5b1db8e69f8333d323cc767ea27f368335"
2025-08-26T20:09:16.5375654Z 		},
2025-08-26T20:09:16.5375789Z 		{
2025-08-26T20:09:16.5375982Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:16.5376231Z 			"size": 314206045,
2025-08-26T20:09:16.5376494Z 			"digest": "sha256:9c55cec78f8406fa713d2fc186d15d0715894b44b0f44c5405e0b0063a3f0b35"
2025-08-26T20:09:16.5376766Z 		},
2025-08-26T20:09:16.5376889Z 		{
2025-08-26T20:09:16.5377088Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:16.5377329Z 			"size": 791,
2025-08-26T20:09:16.5377587Z 			"digest": "sha256:9bc7d79f3fbb3f75440f59f706b65c619d51400f6713a7401ffda0dcaf302bb9"
2025-08-26T20:09:16.5377852Z 		},
2025-08-26T20:09:16.5377996Z 		{
2025-08-26T20:09:16.5378204Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:16.5378672Z 			"size": 106,
2025-08-26T20:09:16.5378922Z 			"digest": "sha256:aafdf104ff63b060f0439c67965849e39ee9201be5223ae1f47d0ebb26c3b325"
2025-08-26T20:09:16.5379320Z 		},
2025-08-26T20:09:16.5379451Z 		{
2025-08-26T20:09:16.5379648Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:16.5379880Z 			"size": 703,
2025-08-26T20:09:16.5380123Z 			"digest": "sha256:82c8895e8a78ab52a51c545848284071a28cc32bea40e6fdfb13397379736b4a"
2025-08-26T20:09:16.5380391Z 		},
2025-08-26T20:09:16.5380522Z 		{
2025-08-26T20:09:16.5380715Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:16.5380964Z 			"size": 1218,
2025-08-26T20:09:16.5381223Z 			"digest": "sha256:0f8cef21ed4173eec4d4181571521b7800b00cf43ce0ca11e9c9fe88d35f579a"
2025-08-26T20:09:16.5381493Z 		},
2025-08-26T20:09:16.5381615Z 		{
2025-08-26T20:09:16.5381815Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:16.5382060Z 			"size": 485,
2025-08-26T20:09:16.5382315Z 			"digest": "sha256:23a46894eb0acedf8723b47155c8b47190e9518f68cdacc3b98cbf44adb6d567"
2025-08-26T20:09:16.5382582Z 		},
2025-08-26T20:09:16.5382713Z 		{
2025-08-26T20:09:16.5382913Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:16.5383162Z 			"size": 110343865,
2025-08-26T20:09:16.5383413Z 			"digest": "sha256:71763536b7fe8d33e2a4a8ca5d37e9398128db4909b9df72878dfaa11e5fc01c"
2025-08-26T20:09:16.5383687Z 		},
2025-08-26T20:09:16.5383814Z 		{
2025-08-26T20:09:16.5384016Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:16.5384305Z 			"size": 4788,
2025-08-26T20:09:16.5384651Z 			"digest": "sha256:2d20cafec487317b3f84d0dafee9ba5dfac753ffd39b33da488c28bbe5f49e11"
2025-08-26T20:09:16.5385025Z 		},
2025-08-26T20:09:16.5385161Z 		{
2025-08-26T20:09:16.5385365Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:16.5385607Z 			"size": 1709,
2025-08-26T20:09:16.5385855Z 			"digest": "sha256:24343f5bbf5c9b05649870203050524a23cf8203b02ed938517d81427cfba66f"
2025-08-26T20:09:16.5386127Z 		},
2025-08-26T20:09:16.5386259Z 		{
2025-08-26T20:09:16.5386452Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:16.5386701Z 			"size": 724,
2025-08-26T20:09:16.5386961Z 			"digest": "sha256:13e40e4a2eab659a96b75462cbf452eb8f13dccf5ab0ff09302a846bd5543ddf"
2025-08-26T20:09:16.5387239Z 		},
2025-08-26T20:09:16.5387366Z 		{
2025-08-26T20:09:16.5387566Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:16.5387812Z 			"size": 544,
2025-08-26T20:09:16.5388059Z 			"digest": "sha256:f6116ea55ac16326cfa791b3966b4545df025e8766eff08811885d86b5c7aed3"
2025-08-26T20:09:16.5388324Z 		},
2025-08-26T20:09:16.5388457Z 		{
2025-08-26T20:09:16.5388660Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:16.5388912Z 			"size": 3392839691,
2025-08-26T20:09:16.5389169Z 			"digest": "sha256:734ff9c3d9c1b471933cb23484266c74d0f6f14bca5d0ea678a2af748168df48"
2025-08-26T20:09:16.5389446Z 		},
2025-08-26T20:09:16.5389575Z 		{
2025-08-26T20:09:16.5389775Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:16.5390009Z 			"size": 32,
2025-08-26T20:09:16.5390264Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-08-26T20:09:16.5390540Z 		},
2025-08-26T20:09:16.5390669Z 		{
2025-08-26T20:09:16.5390859Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:16.5391107Z 			"size": 381,
2025-08-26T20:09:16.5391359Z 			"digest": "sha256:7962f79fd05ce7dabec3601db761338db0aa6ef16a4f3ad13782cc78cd70c652"
2025-08-26T20:09:16.5391637Z 		},
2025-08-26T20:09:16.5391759Z 		{
2025-08-26T20:09:16.5391963Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:16.5392210Z 			"size": 234845,
2025-08-26T20:09:16.5392466Z 			"digest": "sha256:38d0e1be877ec4bf812a7be88f0661a8cf934c1f242a73a9542b2a280865a029"
2025-08-26T20:09:16.5392786Z 		},
2025-08-26T20:09:16.5392917Z 		{
2025-08-26T20:09:16.5393118Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:16.5393360Z 			"size": 230,
2025-08-26T20:09:16.5393600Z 			"digest": "sha256:950bd866dd7860d8ac6c5ffbb1782f2690054713f28d3b709037fc9730da03d9"
2025-08-26T20:09:16.5393871Z 		},
2025-08-26T20:09:16.5393999Z 		{
2025-08-26T20:09:16.5394197Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:16.5394433Z 			"size": 3301737,
2025-08-26T20:09:16.5394692Z 			"digest": "sha256:6795befe89abaf06f5eb31de15bd2bc27124f975105cdd05fc224a19b76ff5bb"
2025-08-26T20:09:16.5394967Z 		},
2025-08-26T20:09:16.5395098Z 		{
2025-08-26T20:09:16.5395292Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:16.5395532Z 			"size": 1480,
2025-08-26T20:09:16.5395784Z 			"digest": "sha256:e7d56d45e721154b379ff640d26cec682314d71fc8e21022770cab7dd3cc5e19"
2025-08-26T20:09:16.5396056Z 		},
2025-08-26T20:09:16.5396183Z 		{
2025-08-26T20:09:16.5396383Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:16.5396625Z 			"size": 483,
2025-08-26T20:09:16.5396868Z 			"digest": "sha256:01f006747b5d902996f805ec7d7170a04598825aa7a4b06bc6fa385505089121"
2025-08-26T20:09:16.5397128Z 		},
2025-08-26T20:09:16.5397259Z 		{
2025-08-26T20:09:16.5397461Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:16.5397703Z 			"size": 195,
2025-08-26T20:09:16.5397950Z 			"digest": "sha256:c507b40a0297efab4e0a38e9d52ea7e201c791f03465ba75bd79181fd63775f6"
2025-08-26T20:09:16.5398226Z 		},
2025-08-26T20:09:16.5398361Z 		{
2025-08-26T20:09:16.5398560Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:16.5398834Z 			"size": 608,
2025-08-26T20:09:16.5399102Z 			"digest": "sha256:4e1b4afdbeeaeb2217f375fae67bcfe5c7b3c92b11212829a9948928fef1692a"
2025-08-26T20:09:16.5399388Z 		},
2025-08-26T20:09:16.5399520Z 		{
2025-08-26T20:09:16.5399721Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:16.5399967Z 			"size": 226,
2025-08-26T20:09:16.5400219Z 			"digest": "sha256:b64445d67ed16d1080d0742a1888d3edf0470bf3b6435f2425be095f835627c6"
2025-08-26T20:09:16.5400497Z 		},
2025-08-26T20:09:16.5400622Z 		{
2025-08-26T20:09:16.5400825Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:16.5401070Z 			"size": 802,
2025-08-26T20:09:16.5401319Z 			"digest": "sha256:f48ac6c01ba8292699169c761c26346d25917821734ff02aaf7c2307c86e25d9"
2025-08-26T20:09:16.5401582Z 		},
2025-08-26T20:09:16.5401716Z 		{
2025-08-26T20:09:16.5401916Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:16.5402164Z 			"size": 32,
2025-08-26T20:09:16.5402408Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-08-26T20:09:16.5402688Z 		},
2025-08-26T20:09:16.5402822Z 		{
2025-08-26T20:09:16.5403024Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:16.5403265Z 			"size": 104,
2025-08-26T20:09:16.5403516Z 			"digest": "sha256:b9fb5bb581578935aca59a4e9209cea159b83ed497fc2767d20bce961704000e"
2025-08-26T20:09:16.5403792Z 		},
2025-08-26T20:09:16.5403921Z 		{
2025-08-26T20:09:16.5404113Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:16.5404359Z 			"size": 1495,
2025-08-26T20:09:16.5404607Z 			"digest": "sha256:f593871a9673982aa4794d09514195b314a62efd7826816cd11cfba859714f73"
2025-08-26T20:09:16.5404878Z 		},
2025-08-26T20:09:16.5405002Z 		{
2025-08-26T20:09:16.5405203Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:16.5405452Z 			"size": 453909723,
2025-08-26T20:09:16.5405730Z 			"digest": "sha256:7320abfeca74acff3f57d30078a8f75bbf3d898e92fe4d03c460cbfe4a527ce4"
2025-08-26T20:09:16.5406014Z 		},
2025-08-26T20:09:16.5406137Z 		{
2025-08-26T20:09:16.5406341Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:16.5406626Z 			"size": 163,
2025-08-26T20:09:16.5406873Z 			"digest": "sha256:d35702d52345ea7ce1043851059af4f0164587a2a1a4c37f88a55e555fed8d3f"
2025-08-26T20:09:16.5407137Z 		},
2025-08-26T20:09:16.5407271Z 		{
2025-08-26T20:09:16.5407473Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:16.5407713Z 			"size": 347,
2025-08-26T20:09:16.5407993Z 			"digest": "sha256:1e9e58db0ee671d3308e0545371b2ae914cd3d0e3bcb65abd24b0a530a9ba448"
2025-08-26T20:09:16.5408271Z 		},
2025-08-26T20:09:16.5408403Z 		{
2025-08-26T20:09:16.5408594Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:16.5408838Z 			"size": 32,
2025-08-26T20:09:16.5409093Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-08-26T20:09:16.5409373Z 		},
2025-08-26T20:09:16.5409497Z 		{
2025-08-26T20:09:16.5409700Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:16.5409943Z 			"size": 106,
2025-08-26T20:09:16.5410188Z 			"digest": "sha256:425283ca33f47a6819851b20b812539935074ebbc15ed9a9b38f3143731def23"
2025-08-26T20:09:16.5410459Z 		},
2025-08-26T20:09:16.5410581Z 		{
2025-08-26T20:09:16.5410786Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:16.5411031Z 			"size": 425,
2025-08-26T20:09:16.5411274Z 			"digest": "sha256:009019a99c9c70bcc68db6f65668ecbebe198cb561981de0e7116306dad6ec03"
2025-08-26T20:09:16.5411548Z 		},
2025-08-26T20:09:16.5411681Z 		{
2025-08-26T20:09:16.5411880Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:16.5412120Z 			"size": 19309417,
2025-08-26T20:09:16.5412381Z 			"digest": "sha256:2fd6dfbf16970d024d4e40c7a670f9af439856d8e4827b53d52cdd9f87b429e0"
2025-08-26T20:09:16.5412658Z 		},
2025-08-26T20:09:16.5413818Z 		{
2025-08-26T20:09:16.5414025Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:16.5414274Z 			"size": 108,
2025-08-26T20:09:16.5414537Z 			"digest": "sha256:fd1110e8b53efb8dfaf7a4acba2ade582165d9b0570acf3aa720832ebc05fac6"
2025-08-26T20:09:16.5414829Z 		},
2025-08-26T20:09:16.5414962Z 		{
2025-08-26T20:09:16.5415160Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:16.5415408Z 			"size": 639,
2025-08-26T20:09:16.5415665Z 			"digest": "sha256:fbdbed5f255002792fbfdd3e4e23f56286e327484c5260d4cbf23eb5990df3fe"
2025-08-26T20:09:16.5415944Z 		},
2025-08-26T20:09:16.5416068Z 		{
2025-08-26T20:09:16.5416275Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:16.5416523Z 			"size": 724,
2025-08-26T20:09:16.5416776Z 			"digest": "sha256:13e40e4a2eab659a96b75462cbf452eb8f13dccf5ab0ff09302a846bd5543ddf"
2025-08-26T20:09:16.5417053Z 		},
2025-08-26T20:09:16.5417184Z 		{
2025-08-26T20:09:16.5417389Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:16.5417634Z 			"size": 148,
2025-08-26T20:09:16.5417887Z 			"digest": "sha256:e9de589665efac6d8d64d93edb0b5b6d50aee6ad8f4003ca0be710092c87cc22"
2025-08-26T20:09:16.5418177Z 		},
2025-08-26T20:09:16.5418311Z 		{
2025-08-26T20:09:16.5418519Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:16.5418756Z 			"size": 134,
2025-08-26T20:09:16.5419012Z 			"digest": "sha256:43d965cdf5c886269294d9335906d2ab6be1b7344af01bd2d7501ca5aba4e745"
2025-08-26T20:09:16.5419291Z 		},
2025-08-26T20:09:16.5419421Z 		{
2025-08-26T20:09:16.5419616Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:16.5419863Z 			"size": 139,
2025-08-26T20:09:16.5420122Z 			"digest": "sha256:c87e96cbf6b3e41fdea9351f65572cfe5b09619ace9f85e44ad6dd06fe147dea"
2025-08-26T20:09:16.5420401Z 		},
2025-08-26T20:09:16.5420525Z 		{
2025-08-26T20:09:16.5420728Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:16.5420980Z 			"size": 18559842793,
2025-08-26T20:09:16.5421256Z 			"digest": "sha256:6cefe6cfb1b53e946c0c89339815f540b13eab3d0f50daf25c8f1a61fa50cee1"
2025-08-26T20:09:16.5421579Z 		},
2025-08-26T20:09:16.5421710Z 		{
2025-08-26T20:09:16.5421917Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:16.5422163Z 			"size": 223,
2025-08-26T20:09:16.5422401Z 			"digest": "sha256:479676d38bf240769a82c4cbae1a1051bf293efb8f1277e5569dea568c94d1f0"
2025-08-26T20:09:16.5422677Z 		},
2025-08-26T20:09:16.5422814Z 		{
2025-08-26T20:09:16.5423017Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:16.5423253Z 			"size": 274477481,
2025-08-26T20:09:16.5423513Z 			"digest": "sha256:67c58b456bc9996bc671445140efba403a9d5d3e03536bbaf2c98137b44631b8"
2025-08-26T20:09:16.5423789Z 		},
2025-08-26T20:09:16.5423919Z 		{
2025-08-26T20:09:16.5424115Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:16.5424365Z 			"size": 6440372376,
2025-08-26T20:09:16.5424629Z 			"digest": "sha256:308a33031a2e65123173cbf992a394f8fba0a5f3af0905f7ad1577e27bebf819"
2025-08-26T20:09:16.5424902Z 		},
2025-08-26T20:09:16.5425029Z 		{
2025-08-26T20:09:16.5425234Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:16.5425481Z 			"size": 129,
2025-08-26T20:09:16.5425734Z 			"digest": "sha256:3e9dbc0952173a3527715a472ca0596fb0b78bc933de0e39f9d054ec8bf22a46"
2025-08-26T20:09:16.5426003Z 		},
2025-08-26T20:09:16.5426134Z 		{
2025-08-26T20:09:16.5426336Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:16.5426584Z 			"size": 777,
2025-08-26T20:09:16.5426826Z 			"digest": "sha256:469773c071e58c1493f13afaf6fb5fe2d2d578c1ddea126135316db3cb5162ff"
2025-08-26T20:09:16.5427099Z 		},
2025-08-26T20:09:16.5427232Z 		{
2025-08-26T20:09:16.5427432Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:16.5427726Z 			"size": 724,
2025-08-26T20:09:16.5427980Z 			"digest": "sha256:13e40e4a2eab659a96b75462cbf452eb8f13dccf5ab0ff09302a846bd5543ddf"
2025-08-26T20:09:16.5428256Z 		},
2025-08-26T20:09:16.5428388Z 		{
2025-08-26T20:09:16.5428583Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:16.5428835Z 			"size": 140,
2025-08-26T20:09:16.5429090Z 			"digest": "sha256:ec16a4f2a115c65620d19bf0f3c6b30e7bda76c7bab0e0419d92c471e0494910"
2025-08-26T20:09:16.5429361Z 		},
2025-08-26T20:09:16.5429484Z 		{
2025-08-26T20:09:16.5429689Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:16.5429935Z 			"size": 32,
2025-08-26T20:09:16.5430191Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-08-26T20:09:16.5430459Z 		},
2025-08-26T20:09:16.5430590Z 		{
2025-08-26T20:09:16.5430793Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:16.5431034Z 			"size": 158,
2025-08-26T20:09:16.5431272Z 			"digest": "sha256:01968fc264193aa85381c10fa67b9c79ce6214b60f43705715cb6f83d9e5dc64"
2025-08-26T20:09:16.5431540Z 		},
2025-08-26T20:09:16.5431674Z 		{
2025-08-26T20:09:16.5431876Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:16.5432112Z 			"size": 1010,
2025-08-26T20:09:16.5432361Z 			"digest": "sha256:1b890f6e6c9420a8709d391e62b53cda920b40f251889194b24172ba0dd83927"
2025-08-26T20:09:16.5432625Z 		},
2025-08-26T20:09:16.5432757Z 		{
2025-08-26T20:09:16.5432951Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:16.5433194Z 			"size": 724,
2025-08-26T20:09:16.5433442Z 			"digest": "sha256:13e40e4a2eab659a96b75462cbf452eb8f13dccf5ab0ff09302a846bd5543ddf"
2025-08-26T20:09:16.5433715Z 		},
2025-08-26T20:09:16.5433837Z 		{
2025-08-26T20:09:16.5434039Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:16.5434279Z 			"size": 135,
2025-08-26T20:09:16.5434529Z 			"digest": "sha256:f8db46864fc761918b649267a6a00baeee4f34a0eea9cea5b750685c66b17bdb"
2025-08-26T20:09:16.5434796Z 		},
2025-08-26T20:09:16.5434927Z 		{
2025-08-26T20:09:16.5435127Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:16.5435370Z 			"size": 32,
2025-08-26T20:09:16.5435653Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-08-26T20:09:16.5435927Z 		},
2025-08-26T20:09:16.5436058Z 		{
2025-08-26T20:09:16.5436261Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:16.5436499Z 			"size": 157,
2025-08-26T20:09:16.5436751Z 			"digest": "sha256:cdf1ab518f852096bfe97d860fd98a61713a73bb65739554cebfe8299d130fd1"
2025-08-26T20:09:16.5437024Z 		},
2025-08-26T20:09:16.5437157Z 		{
2025-08-26T20:09:16.5437351Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:16.5437600Z 			"size": 1369,
2025-08-26T20:09:16.5437850Z 			"digest": "sha256:0061302d04951a0b439d4dfbdfa03f500877faf187f3940a655b065d53b1fc94"
2025-08-26T20:09:16.5438124Z 		},
2025-08-26T20:09:16.5438248Z 		{
2025-08-26T20:09:16.5438456Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:16.5438705Z 			"size": 32,
2025-08-26T20:09:16.5438957Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-08-26T20:09:16.5439230Z 		},
2025-08-26T20:09:16.5439364Z 		{
2025-08-26T20:09:16.5439570Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:16.5439817Z 			"size": 136,
2025-08-26T20:09:16.5440060Z 			"digest": "sha256:7efd21765c9f354e41a6820f89addc3ce5a16766a203740a389ac5e9ce80d6fc"
2025-08-26T20:09:16.5440337Z 		},
2025-08-26T20:09:16.5440467Z 		{
2025-08-26T20:09:16.5440671Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:16.5440908Z 			"size": 380,
2025-08-26T20:09:16.5441155Z 			"digest": "sha256:47eb26c12113434e1c0cf8da7273e9040511b9884eccf4a3dcbea2d5249a023d"
2025-08-26T20:09:16.5441434Z 		},
2025-08-26T20:09:16.5441567Z 		{
2025-08-26T20:09:16.5441799Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:16.5442048Z 			"size": 32,
2025-08-26T20:09:16.5442297Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-08-26T20:09:16.5442579Z 		},
2025-08-26T20:09:16.5442703Z 		{
2025-08-26T20:09:16.5442909Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:16.5443155Z 			"size": 104,
2025-08-26T20:09:16.5443401Z 			"digest": "sha256:27c4d270ca26645b622a0d54fe5017b1e9885c1fc8798cc40732d4cd3520b3d7"
2025-08-26T20:09:16.5443667Z 		},
2025-08-26T20:09:16.5443798Z 		{
2025-08-26T20:09:16.5443998Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:16.5444246Z 			"size": 407,
2025-08-26T20:09:16.5444490Z 			"digest": "sha256:4bc6ef31bd523602cfd4f80f47fe9cf84cf74986fce29a393c69a2008ee3c78f"
2025-08-26T20:09:16.5444772Z 		},
2025-08-26T20:09:16.5444904Z 		{
2025-08-26T20:09:16.5445108Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:16.5445340Z 			"size": 32,
2025-08-26T20:09:16.5445588Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-08-26T20:09:16.5445869Z 		},
2025-08-26T20:09:16.5446000Z 		{
2025-08-26T20:09:16.5446195Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:16.5446438Z 			"size": 109,
2025-08-26T20:09:16.5446694Z 			"digest": "sha256:5ce18bf5b45dbcad8afcd0fde76d5d0a674d53e510d99cceff0587e6b948e52e"
2025-08-26T20:09:16.5446977Z 		},
2025-08-26T20:09:16.5447100Z 		{
2025-08-26T20:09:16.5447299Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:16.5447538Z 			"size": 1896,
2025-08-26T20:09:16.5447796Z 			"digest": "sha256:285c81af4b9d0b1429be21e8a67cdb35d3b2ce9652ba5bd3e7b4fe003b1da902"
2025-08-26T20:09:16.5448070Z 		},
2025-08-26T20:09:16.5448201Z 		{
2025-08-26T20:09:16.5448410Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:16.5448660Z 			"size": 242997127,
2025-08-26T20:09:16.5448918Z 			"digest": "sha256:bb07dd0d561f2f9bd5c780aefc22a73058368931be47e4e3af1a539c4d267ae2"
2025-08-26T20:09:16.5449201Z 		},
2025-08-26T20:09:16.5449367Z 		{
2025-08-26T20:09:16.5449572Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:16.5449811Z 			"size": 106,
2025-08-26T20:09:16.5450082Z 			"digest": "sha256:50a5a3b68ee3894de8898a04c6a4bfdd0ac1859da95b5a8ceab7ccb6a9a620da"
2025-08-26T20:09:16.5450362Z 		},
2025-08-26T20:09:16.5450497Z 		{
2025-08-26T20:09:16.5450690Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:16.5450935Z 			"size": 164,
2025-08-26T20:09:16.5451189Z 			"digest": "sha256:79eecebd063f6be16d85070bb148f969679d1d8df9c0dee228e3595118fcd6f0"
2025-08-26T20:09:16.5451467Z 		},
2025-08-26T20:09:16.5451594Z 		{
2025-08-26T20:09:16.5451797Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:16.5452042Z 			"size": 7943,
2025-08-26T20:09:16.5452296Z 			"digest": "sha256:1d221336b6cfad31c20882c181f430a4282a12a9be9028b5bd8280aadca44c42"
2025-08-26T20:09:16.5452572Z 		},
2025-08-26T20:09:16.5452697Z 		{
2025-08-26T20:09:16.5452901Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:16.5453146Z 			"size": 8077,
2025-08-26T20:09:16.5453398Z 			"digest": "sha256:bb9b1ab32155a02a0f4cd73062f3e3f649e281a8439037f7b94cc6df74dc4fba"
2025-08-26T20:09:16.5453666Z 		},
2025-08-26T20:09:16.5453800Z 		{
2025-08-26T20:09:16.5454001Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:16.5454251Z 			"size": 303,
2025-08-26T20:09:16.5454493Z 			"digest": "sha256:0867b7fa637cd840cab46ab9d0f60674db13df921cabda8599405045604f5b2d"
2025-08-26T20:09:16.5454768Z 		},
2025-08-26T20:09:16.5454896Z 		{
2025-08-26T20:09:16.5455086Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:16.5455330Z 			"size": 32,
2025-08-26T20:09:16.5455612Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-08-26T20:09:16.5455893Z 		},
2025-08-26T20:09:16.5456022Z 		{
2025-08-26T20:09:16.5456216Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:16.5456465Z 			"size": 108,
2025-08-26T20:09:16.5456720Z 			"digest": "sha256:0edddbef40dd990542474976dcfe8db6dca1fee30e5d623ff3c442b93de5a701"
2025-08-26T20:09:16.5456999Z 		},
2025-08-26T20:09:16.5457123Z 		{
2025-08-26T20:09:16.5457322Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:16.5457603Z + exit 0
2025-08-26T20:09:16.5457750Z 			"size": 54145663,
2025-08-26T20:09:16.5458007Z 			"digest": "sha256:bf05e37245a2b1f993edf59c7d829c700ba42dde0686edb2dc0b990fe7a97573"
2025-08-26T20:09:16.5458284Z 		},
2025-08-26T20:09:16.5458419Z 		{
2025-08-26T20:09:16.5458626Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:16.5458861Z 			"size": 32,
2025-08-26T20:09:16.5459118Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-08-26T20:09:16.5459396Z 		}
2025-08-26T20:09:16.5459532Z 	]
2025-08-26T20:09:16.5459661Z }
2025-08-26T20:09:16.5487306Z ##[group]Run set -eux
2025-08-26T20:09:16.5487513Z set -eux
2025-08-26T20:09:16.5487768Z # It's ok if this steps fails, it would then be an anonymous user like what we used to have
2025-08-26T20:09:16.5488410Z 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
2025-08-26T20:09:16.5493233Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:09:16.5493465Z env:
2025-08-26T20:09:16.5493617Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:09:16.5493794Z ##[endgroup]
2025-08-26T20:09:16.5514949Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token
2025-08-26T20:09:16.5515497Z + jq -r .docker_hub_readonly_token
2025-08-26T20:09:16.5515773Z + jq --raw-output .SecretString
2025-08-26T20:09:16.5517006Z + docker login --username pytorchbot --password-stdin
2025-08-26T20:09:16.9741865Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-08-26T20:09:16.9742506Z Configure a credential helper to remove this warning. See
2025-08-26T20:09:16.9742866Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-08-26T20:09:16.9743101Z 
2025-08-26T20:09:16.9743172Z Login Succeeded
2025-08-26T20:09:16.9809650Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:}
2025-08-26T20:09:16.9809896Z tag=${ECR_DOCKER_IMAGE##*:}
2025-08-26T20:09:16.9810143Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}"
2025-08-26T20:09:16.9814251Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:09:16.9814486Z env:
2025-08-26T20:09:16.9814640Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:09:16.9815160Z   ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:09:16.9815662Z ##[endgroup]
2025-08-26T20:09:16.9834995Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:09:16.9872629Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main
2025-08-26T20:09:16.9872906Z with:
2025-08-26T20:09:16.9873393Z   docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:09:16.9873961Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-26T20:09:16.9874206Z env:
2025-08-26T20:09:16.9874365Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:09:16.9874544Z ##[endgroup]
2025-08-26T20:09:16.9917777Z ##[group]Run set -x
2025-08-26T20:09:16.9917971Z set -x
2025-08-26T20:09:16.9918127Z set +e
2025-08-26T20:09:16.9918269Z 
2025-08-26T20:09:16.9918419Z login() {
2025-08-26T20:09:16.9918712Z   aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1"
2025-08-26T20:09:16.9919020Z }
2025-08-26T20:09:16.9919155Z 
2025-08-26T20:09:16.9919345Z retry () {
2025-08-26T20:09:16.9919529Z   $*  || (sleep 1 && $*) || (sleep 2 && $*)
2025-08-26T20:09:16.9919718Z }
2025-08-26T20:09:16.9919854Z 
2025-08-26T20:09:16.9920009Z retry login "${DOCKER_REGISTRY}"
2025-08-26T20:09:16.9920200Z 
2025-08-26T20:09:16.9920482Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024')
2025-08-26T20:09:16.9920863Z echo "Compressed size of image in MB: ${IMAGE_SIZE}"
2025-08-26T20:09:16.9921090Z 
2025-08-26T20:09:16.9921233Z set -e
2025-08-26T20:09:16.9921443Z # ignore output since only exit code is used for conditional
2025-08-26T20:09:16.9921736Z # only pull docker image if it's not available locally
2025-08-26T20:09:16.9922055Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then
2025-08-26T20:09:16.9922359Z   retry docker pull "${DOCKER_IMAGE}"
2025-08-26T20:09:16.9922561Z fi
2025-08-26T20:09:16.9926279Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:09:16.9926514Z env:
2025-08-26T20:09:16.9926672Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:09:16.9927186Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:09:16.9927746Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-26T20:09:16.9927986Z ##[endgroup]
2025-08-26T20:09:16.9967605Z + set +e
2025-08-26T20:09:16.9967896Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-26T20:09:16.9968224Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-26T20:09:16.9972842Z + aws ecr get-login-password --region us-east-1
2025-08-26T20:09:16.9973233Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-26T20:09:17.3640382Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-08-26T20:09:17.3640752Z Configure a credential helper to remove this warning. See
2025-08-26T20:09:17.3641157Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-08-26T20:09:17.3641377Z 
2025-08-26T20:09:17.3641985Z Login Succeeded
2025-08-26T20:09:17.3657666Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:09:17.3658313Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024'
2025-08-26T20:09:17.5590731Z + IMAGE_SIZE=28511.53002166748
2025-08-26T20:09:17.5591163Z + echo 'Compressed size of image in MB: 28511.53002166748'
2025-08-26T20:09:17.5591432Z Compressed size of image in MB: 28511.53002166748
2025-08-26T20:09:17.5591687Z + set -e
2025-08-26T20:09:17.5592556Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:09:17.5707947Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:09:17.5708805Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:09:17.8143515Z pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6: Pulling from pytorch/ci-image
2025-08-26T20:09:17.8144318Z 660ffc76f83b: Pulling fs layer
2025-08-26T20:09:17.8144666Z 4d54b123ef9d: Pulling fs layer
2025-08-26T20:09:17.8144952Z 9c55cec78f84: Pulling fs layer
2025-08-26T20:09:17.8145260Z 9bc7d79f3fbb: Pulling fs layer
2025-08-26T20:09:17.8145590Z aafdf104ff63: Pulling fs layer
2025-08-26T20:09:17.8145898Z 82c8895e8a78: Pulling fs layer
2025-08-26T20:09:17.8146187Z 0f8cef21ed41: Pulling fs layer
2025-08-26T20:09:17.8146454Z 23a46894eb0a: Pulling fs layer
2025-08-26T20:09:17.8146688Z 71763536b7fe: Pulling fs layer
2025-08-26T20:09:17.8146879Z 2d20cafec487: Pulling fs layer
2025-08-26T20:09:17.8147059Z 24343f5bbf5c: Pulling fs layer
2025-08-26T20:09:17.8147264Z 13e40e4a2eab: Pulling fs layer
2025-08-26T20:09:17.8147445Z f6116ea55ac1: Pulling fs layer
2025-08-26T20:09:17.8147616Z 734ff9c3d9c1: Pulling fs layer
2025-08-26T20:09:17.8147799Z 4f4fb700ef54: Pulling fs layer
2025-08-26T20:09:17.8147977Z 7962f79fd05c: Pulling fs layer
2025-08-26T20:09:17.8148154Z 38d0e1be877e: Pulling fs layer
2025-08-26T20:09:17.8148326Z 950bd866dd78: Pulling fs layer
2025-08-26T20:09:17.8148506Z 6795befe89ab: Pulling fs layer
2025-08-26T20:09:17.8148682Z e7d56d45e721: Pulling fs layer
2025-08-26T20:09:17.8148868Z 01f006747b5d: Pulling fs layer
2025-08-26T20:09:17.8149037Z c507b40a0297: Pulling fs layer
2025-08-26T20:09:17.8149207Z 4e1b4afdbeea: Pulling fs layer
2025-08-26T20:09:17.8149383Z b64445d67ed1: Pulling fs layer
2025-08-26T20:09:17.8149550Z f48ac6c01ba8: Pulling fs layer
2025-08-26T20:09:17.8149724Z b9fb5bb58157: Pulling fs layer
2025-08-26T20:09:17.8149895Z f593871a9673: Pulling fs layer
2025-08-26T20:09:17.8150065Z 7320abfeca74: Pulling fs layer
2025-08-26T20:09:17.8150227Z d35702d52345: Pulling fs layer
2025-08-26T20:09:17.8150398Z 1e9e58db0ee6: Pulling fs layer
2025-08-26T20:09:17.8150568Z 9bc7d79f3fbb: Waiting
2025-08-26T20:09:17.8150736Z 425283ca33f4: Pulling fs layer
2025-08-26T20:09:17.8150900Z aafdf104ff63: Waiting
2025-08-26T20:09:17.8151063Z 009019a99c9c: Pulling fs layer
2025-08-26T20:09:17.8151234Z 2fd6dfbf1697: Pulling fs layer
2025-08-26T20:09:17.8151399Z 82c8895e8a78: Waiting
2025-08-26T20:09:17.8151542Z f6116ea55ac1: Waiting
2025-08-26T20:09:17.8151704Z fd1110e8b53e: Pulling fs layer
2025-08-26T20:09:17.8151879Z fbdbed5f2550: Pulling fs layer
2025-08-26T20:09:17.8152234Z e9de589665ef: Pulling fs layer
2025-08-26T20:09:17.8152403Z 43d965cdf5c8: Pulling fs layer
2025-08-26T20:09:17.8152580Z 734ff9c3d9c1: Waiting
2025-08-26T20:09:17.8152737Z 4f4fb700ef54: Waiting
2025-08-26T20:09:17.8152894Z 13e40e4a2eab: Waiting
2025-08-26T20:09:17.8153050Z c87e96cbf6b3: Pulling fs layer
2025-08-26T20:09:17.8153222Z 0f8cef21ed41: Waiting
2025-08-26T20:09:17.8153386Z b9fb5bb58157: Waiting
2025-08-26T20:09:17.8153543Z 38d0e1be877e: Waiting
2025-08-26T20:09:17.8153698Z 6cefe6cfb1b5: Pulling fs layer
2025-08-26T20:09:17.8153875Z 479676d38bf2: Pulling fs layer
2025-08-26T20:09:17.8154046Z 950bd866dd78: Waiting
2025-08-26T20:09:17.8154206Z 67c58b456bc9: Pulling fs layer
2025-08-26T20:09:17.8154366Z f593871a9673: Waiting
2025-08-26T20:09:17.8154525Z 308a33031a2e: Pulling fs layer
2025-08-26T20:09:17.8154692Z 7962f79fd05c: Waiting
2025-08-26T20:09:17.8154854Z 3e9dbc095217: Pulling fs layer
2025-08-26T20:09:17.8155016Z 7320abfeca74: Waiting
2025-08-26T20:09:17.8155174Z 469773c071e5: Pulling fs layer
2025-08-26T20:09:17.8155343Z 425283ca33f4: Waiting
2025-08-26T20:09:17.8155578Z ec16a4f2a115: Pulling fs layer
2025-08-26T20:09:17.8155741Z fbdbed5f2550: Waiting
2025-08-26T20:09:17.8155911Z d35702d52345: Waiting
2025-08-26T20:09:17.8156067Z 6795befe89ab: Waiting
2025-08-26T20:09:17.8156222Z 1e9e58db0ee6: Waiting
2025-08-26T20:09:17.8156376Z 01968fc26419: Pulling fs layer
2025-08-26T20:09:17.8156547Z e7d56d45e721: Waiting
2025-08-26T20:09:17.8156703Z b64445d67ed1: Waiting
2025-08-26T20:09:17.8156857Z e9de589665ef: Waiting
2025-08-26T20:09:17.8157013Z 1b890f6e6c94: Pulling fs layer
2025-08-26T20:09:17.8157188Z 009019a99c9c: Waiting
2025-08-26T20:09:17.8157342Z 23a46894eb0a: Waiting
2025-08-26T20:09:17.8157492Z fd1110e8b53e: Waiting
2025-08-26T20:09:17.8157643Z f8db46864fc7: Pulling fs layer
2025-08-26T20:09:17.8157813Z 71763536b7fe: Waiting
2025-08-26T20:09:17.8157975Z cdf1ab518f85: Pulling fs layer
2025-08-26T20:09:17.8158147Z 2d20cafec487: Waiting
2025-08-26T20:09:17.8158293Z f48ac6c01ba8: Waiting
2025-08-26T20:09:17.8158454Z 0061302d0495: Pulling fs layer
2025-08-26T20:09:17.8158622Z 24343f5bbf5c: Waiting
2025-08-26T20:09:17.8158778Z 7efd21765c9f: Pulling fs layer
2025-08-26T20:09:17.8158938Z ec16a4f2a115: Waiting
2025-08-26T20:09:17.8159086Z 43d965cdf5c8: Waiting
2025-08-26T20:09:17.8159249Z c87e96cbf6b3: Waiting
2025-08-26T20:09:17.8159409Z 47eb26c12113: Pulling fs layer
2025-08-26T20:09:17.8159576Z 308a33031a2e: Waiting
2025-08-26T20:09:17.8159719Z 6cefe6cfb1b5: Waiting
2025-08-26T20:09:17.8159878Z 27c4d270ca26: Pulling fs layer
2025-08-26T20:09:17.8160045Z 469773c071e5: Waiting
2025-08-26T20:09:17.8160195Z 3e9dbc095217: Waiting
2025-08-26T20:09:17.8160344Z 4bc6ef31bd52: Pulling fs layer
2025-08-26T20:09:17.8160521Z 5ce18bf5b45d: Pulling fs layer
2025-08-26T20:09:17.8160688Z 67c58b456bc9: Waiting
2025-08-26T20:09:17.8160845Z 285c81af4b9d: Pulling fs layer
2025-08-26T20:09:17.8161014Z bb07dd0d561f: Pulling fs layer
2025-08-26T20:09:17.8161180Z 01968fc26419: Waiting
2025-08-26T20:09:17.8161340Z 50a5a3b68ee3: Pulling fs layer
2025-08-26T20:09:17.8161507Z 1b890f6e6c94: Waiting
2025-08-26T20:09:17.8161654Z f8db46864fc7: Waiting
2025-08-26T20:09:17.8161812Z 79eecebd063f: Pulling fs layer
2025-08-26T20:09:17.8161981Z cdf1ab518f85: Waiting
2025-08-26T20:09:17.8162136Z 1d221336b6cf: Pulling fs layer
2025-08-26T20:09:17.8162295Z 479676d38bf2: Waiting
2025-08-26T20:09:17.8162451Z bb9b1ab32155: Pulling fs layer
2025-08-26T20:09:17.8162618Z 4e1b4afdbeea: Waiting
2025-08-26T20:09:17.8162769Z 0061302d0495: Waiting
2025-08-26T20:09:17.8162916Z 0867b7fa637c: Pulling fs layer
2025-08-26T20:09:17.8163078Z c507b40a0297: Waiting
2025-08-26T20:09:17.8163236Z 0edddbef40dd: Pulling fs layer
2025-08-26T20:09:17.8163406Z bf05e37245a2: Pulling fs layer
2025-08-26T20:09:17.8163571Z bb07dd0d561f: Waiting
2025-08-26T20:09:17.8163724Z 7efd21765c9f: Waiting
2025-08-26T20:09:17.8163876Z 50a5a3b68ee3: Waiting
2025-08-26T20:09:17.8164021Z 2fd6dfbf1697: Waiting
2025-08-26T20:09:17.8164174Z 01f006747b5d: Waiting
2025-08-26T20:09:17.8164376Z 79eecebd063f: Waiting
2025-08-26T20:09:17.8164527Z 27c4d270ca26: Waiting
2025-08-26T20:09:17.8164676Z 0edddbef40dd: Waiting
2025-08-26T20:09:17.8164829Z 47eb26c12113: Waiting
2025-08-26T20:09:17.8164981Z 1d221336b6cf: Waiting
2025-08-26T20:09:17.8165137Z 4bc6ef31bd52: Waiting
2025-08-26T20:09:17.8165285Z bf05e37245a2: Waiting
2025-08-26T20:09:17.8165442Z 5ce18bf5b45d: Waiting
2025-08-26T20:09:17.8165601Z 0867b7fa637c: Waiting
2025-08-26T20:09:17.8165836Z bb9b1ab32155: Waiting
2025-08-26T20:09:17.9003776Z 4d54b123ef9d: Verifying Checksum
2025-08-26T20:09:17.9005737Z 4d54b123ef9d: Download complete
2025-08-26T20:09:17.9891895Z 9bc7d79f3fbb: Verifying Checksum
2025-08-26T20:09:17.9892240Z 9bc7d79f3fbb: Download complete
2025-08-26T20:09:18.0728532Z aafdf104ff63: Download complete
2025-08-26T20:09:18.1504584Z 82c8895e8a78: Verifying Checksum
2025-08-26T20:09:18.1504880Z 82c8895e8a78: Download complete
2025-08-26T20:09:18.1806757Z 660ffc76f83b: Verifying Checksum
2025-08-26T20:09:18.1809089Z 660ffc76f83b: Download complete
2025-08-26T20:09:18.2265804Z 0f8cef21ed41: Download complete
2025-08-26T20:09:18.2674268Z 23a46894eb0a: Verifying Checksum
2025-08-26T20:09:18.2674566Z 23a46894eb0a: Download complete
2025-08-26T20:09:18.3533690Z 2d20cafec487: Verifying Checksum
2025-08-26T20:09:18.3533925Z 2d20cafec487: Download complete
2025-08-26T20:09:18.4293029Z 24343f5bbf5c: Verifying Checksum
2025-08-26T20:09:18.4293459Z 24343f5bbf5c: Download complete
2025-08-26T20:09:18.4990012Z 13e40e4a2eab: Download complete
2025-08-26T20:09:18.5626878Z f6116ea55ac1: Verifying Checksum
2025-08-26T20:09:18.5627154Z f6116ea55ac1: Download complete
2025-08-26T20:09:18.8012382Z 660ffc76f83b: Pull complete
2025-08-26T20:09:18.8222713Z 4d54b123ef9d: Pull complete
2025-08-26T20:09:19.3737471Z 71763536b7fe: Verifying Checksum
2025-08-26T20:09:19.3737745Z 71763536b7fe: Download complete
2025-08-26T20:09:19.3813328Z 4f4fb700ef54: Verifying Checksum
2025-08-26T20:09:19.3813522Z 4f4fb700ef54: Download complete
2025-08-26T20:09:19.4659146Z 7962f79fd05c: Download complete
2025-08-26T20:09:19.5410096Z 38d0e1be877e: Download complete
2025-08-26T20:09:19.6167501Z 950bd866dd78: Download complete
2025-08-26T20:09:19.6965447Z 6795befe89ab: Verifying Checksum
2025-08-26T20:09:19.6965965Z 6795befe89ab: Download complete
2025-08-26T20:09:19.7859389Z e7d56d45e721: Download complete
2025-08-26T20:09:19.8616426Z 01f006747b5d: Download complete
2025-08-26T20:09:19.9580681Z c507b40a0297: Verifying Checksum
2025-08-26T20:09:19.9581026Z c507b40a0297: Download complete
2025-08-26T20:09:20.0576562Z 4e1b4afdbeea: Download complete
2025-08-26T20:09:20.1826004Z b64445d67ed1: Verifying Checksum
2025-08-26T20:09:20.1826345Z b64445d67ed1: Download complete
2025-08-26T20:09:20.2782498Z f48ac6c01ba8: Download complete
2025-08-26T20:09:20.3580287Z b9fb5bb58157: Download complete
2025-08-26T20:09:20.4257863Z f593871a9673: Download complete
2025-08-26T20:09:21.0115464Z 9c55cec78f84: Verifying Checksum
2025-08-26T20:09:21.0115703Z 9c55cec78f84: Download complete
2025-08-26T20:09:21.0864270Z d35702d52345: Download complete
2025-08-26T20:09:21.1654465Z 1e9e58db0ee6: Verifying Checksum
2025-08-26T20:09:21.1654803Z 1e9e58db0ee6: Download complete
2025-08-26T20:09:21.2476182Z 425283ca33f4: Verifying Checksum
2025-08-26T20:09:21.2476509Z 425283ca33f4: Download complete
2025-08-26T20:09:21.3361081Z 009019a99c9c: Verifying Checksum
2025-08-26T20:09:21.3361397Z 009019a99c9c: Download complete
2025-08-26T20:09:21.5702050Z 2fd6dfbf1697: Verifying Checksum
2025-08-26T20:09:21.5702304Z 2fd6dfbf1697: Download complete
2025-08-26T20:09:21.6748650Z fd1110e8b53e: Download complete
2025-08-26T20:09:21.7621234Z fbdbed5f2550: Verifying Checksum
2025-08-26T20:09:21.7621513Z fbdbed5f2550: Download complete
2025-08-26T20:09:21.8351461Z e9de589665ef: Verifying Checksum
2025-08-26T20:09:21.8351818Z e9de589665ef: Download complete
2025-08-26T20:09:21.9004787Z 43d965cdf5c8: Verifying Checksum
2025-08-26T20:09:21.9011488Z 43d965cdf5c8: Download complete
2025-08-26T20:09:21.9730038Z c87e96cbf6b3: Verifying Checksum
2025-08-26T20:09:21.9730759Z c87e96cbf6b3: Download complete
2025-08-26T20:09:25.0123990Z 7320abfeca74: Verifying Checksum
2025-08-26T20:09:25.0124367Z 7320abfeca74: Download complete
2025-08-26T20:09:25.1866089Z 479676d38bf2: Verifying Checksum
2025-08-26T20:09:25.1866563Z 479676d38bf2: Download complete
2025-08-26T20:09:27.7717912Z 9c55cec78f84: Pull complete
2025-08-26T20:09:27.9966169Z 67c58b456bc9: Verifying Checksum
2025-08-26T20:09:27.9966608Z 67c58b456bc9: Download complete
2025-08-26T20:09:28.2785259Z 9bc7d79f3fbb: Pull complete
2025-08-26T20:09:28.7480067Z aafdf104ff63: Pull complete
2025-08-26T20:09:29.2079667Z 82c8895e8a78: Pull complete
2025-08-26T20:09:29.6313127Z 0f8cef21ed41: Pull complete
2025-08-26T20:09:30.0859139Z 23a46894eb0a: Pull complete
2025-08-26T20:09:32.2742828Z 71763536b7fe: Pull complete
2025-08-26T20:09:32.7309272Z 2d20cafec487: Pull complete
2025-08-26T20:09:33.1762606Z 24343f5bbf5c: Pull complete
2025-08-26T20:09:33.5248408Z 13e40e4a2eab: Pull complete
2025-08-26T20:09:33.9078995Z f6116ea55ac1: Pull complete
2025-08-26T20:09:52.5523877Z 734ff9c3d9c1: Verifying Checksum
2025-08-26T20:09:52.5524501Z 734ff9c3d9c1: Download complete
2025-08-26T20:09:52.6210625Z 3e9dbc095217: Verifying Checksum
2025-08-26T20:09:52.6210883Z 3e9dbc095217: Download complete
2025-08-26T20:09:52.6915152Z 469773c071e5: Verifying Checksum
2025-08-26T20:09:52.6915406Z 469773c071e5: Download complete
2025-08-26T20:09:52.9089713Z ec16a4f2a115: Verifying Checksum
2025-08-26T20:09:52.9090065Z ec16a4f2a115: Download complete
2025-08-26T20:09:52.9995355Z 01968fc26419: Verifying Checksum
2025-08-26T20:09:52.9995597Z 01968fc26419: Download complete
2025-08-26T20:09:53.1090808Z 1b890f6e6c94: Verifying Checksum
2025-08-26T20:09:53.1091162Z 1b890f6e6c94: Download complete
2025-08-26T20:09:53.2215316Z f8db46864fc7: Download complete
2025-08-26T20:09:53.3060128Z cdf1ab518f85: Verifying Checksum
2025-08-26T20:09:53.3060519Z cdf1ab518f85: Download complete
2025-08-26T20:09:53.3805879Z 0061302d0495: Verifying Checksum
2025-08-26T20:09:53.3806278Z 0061302d0495: Download complete
2025-08-26T20:09:53.4636126Z 7efd21765c9f: Verifying Checksum
2025-08-26T20:09:53.4636405Z 7efd21765c9f: Download complete
2025-08-26T20:09:53.5440269Z 47eb26c12113: Verifying Checksum
2025-08-26T20:09:53.5440534Z 47eb26c12113: Download complete
2025-08-26T20:09:53.6220686Z 27c4d270ca26: Verifying Checksum
2025-08-26T20:09:53.6221089Z 27c4d270ca26: Download complete
2025-08-26T20:09:53.6938301Z 4bc6ef31bd52: Verifying Checksum
2025-08-26T20:09:53.6938593Z 4bc6ef31bd52: Download complete
2025-08-26T20:09:53.7696834Z 5ce18bf5b45d: Verifying Checksum
2025-08-26T20:09:53.7700122Z 5ce18bf5b45d: Download complete
2025-08-26T20:09:53.8401781Z 285c81af4b9d: Download complete
2025-08-26T20:09:56.3238058Z bb07dd0d561f: Verifying Checksum
2025-08-26T20:09:56.3238370Z bb07dd0d561f: Download complete
2025-08-26T20:09:56.4020338Z 50a5a3b68ee3: Verifying Checksum
2025-08-26T20:09:56.4020608Z 50a5a3b68ee3: Download complete
2025-08-26T20:09:56.4739745Z 79eecebd063f: Verifying Checksum
2025-08-26T20:09:56.4740037Z 79eecebd063f: Download complete
2025-08-26T20:09:56.5520976Z 1d221336b6cf: Verifying Checksum
2025-08-26T20:09:56.5521247Z 1d221336b6cf: Download complete
2025-08-26T20:09:56.6099123Z bb9b1ab32155: Verifying Checksum
2025-08-26T20:09:56.6099489Z bb9b1ab32155: Download complete
2025-08-26T20:09:56.6784136Z 0867b7fa637c: Download complete
2025-08-26T20:09:56.7571192Z 0edddbef40dd: Verifying Checksum
2025-08-26T20:09:56.7571447Z 0edddbef40dd: Download complete
2025-08-26T20:09:57.3497174Z bf05e37245a2: Verifying Checksum
2025-08-26T20:09:57.3497530Z bf05e37245a2: Download complete
2025-08-26T20:10:28.3701785Z 734ff9c3d9c1: Pull complete
2025-08-26T20:10:28.8093440Z 4f4fb700ef54: Pull complete
2025-08-26T20:10:29.2861283Z 7962f79fd05c: Pull complete
2025-08-26T20:10:29.7994238Z 38d0e1be877e: Pull complete
2025-08-26T20:10:30.1941080Z 950bd866dd78: Pull complete
2025-08-26T20:10:30.8048195Z 6795befe89ab: Pull complete
2025-08-26T20:10:31.2071910Z e7d56d45e721: Pull complete
2025-08-26T20:10:31.7106492Z 01f006747b5d: Pull complete
2025-08-26T20:10:32.1370185Z c507b40a0297: Pull complete
2025-08-26T20:10:32.4692423Z 308a33031a2e: Verifying Checksum
2025-08-26T20:10:32.4692804Z 308a33031a2e: Download complete
2025-08-26T20:10:32.5832990Z 4e1b4afdbeea: Pull complete
2025-08-26T20:10:33.0139163Z b64445d67ed1: Pull complete
2025-08-26T20:10:33.5215052Z f48ac6c01ba8: Pull complete
2025-08-26T20:10:34.1046139Z b9fb5bb58157: Pull complete
2025-08-26T20:10:34.5101766Z f593871a9673: Pull complete
2025-08-26T20:10:41.0676255Z 7320abfeca74: Pull complete
2025-08-26T20:10:41.4609770Z d35702d52345: Pull complete
2025-08-26T20:10:41.9233931Z 1e9e58db0ee6: Pull complete
2025-08-26T20:10:42.8896017Z 425283ca33f4: Pull complete
2025-08-26T20:10:43.3021880Z 009019a99c9c: Pull complete
2025-08-26T20:10:43.8877336Z 2fd6dfbf1697: Pull complete
2025-08-26T20:10:44.2297138Z fd1110e8b53e: Pull complete
2025-08-26T20:10:44.5865957Z fbdbed5f2550: Pull complete
2025-08-26T20:10:45.2606887Z e9de589665ef: Pull complete
2025-08-26T20:10:45.7663670Z 43d965cdf5c8: Pull complete
2025-08-26T20:10:46.1331832Z c87e96cbf6b3: Pull complete
2025-08-26T20:12:27.6317316Z 6cefe6cfb1b5: Verifying Checksum
2025-08-26T20:12:27.6317616Z 6cefe6cfb1b5: Download complete
2025-08-26T20:14:28.0587499Z 6cefe6cfb1b5: Pull complete
2025-08-26T20:14:28.2978686Z 479676d38bf2: Pull complete
2025-08-26T20:14:29.4430418Z 67c58b456bc9: Pull complete
2025-08-26T20:15:39.8275432Z 308a33031a2e: Pull complete
2025-08-26T20:15:40.2398354Z 3e9dbc095217: Pull complete
2025-08-26T20:15:40.6136413Z 469773c071e5: Pull complete
2025-08-26T20:15:41.4181810Z ec16a4f2a115: Pull complete
2025-08-26T20:15:42.2768364Z 01968fc26419: Pull complete
2025-08-26T20:15:42.7164548Z 1b890f6e6c94: Pull complete
2025-08-26T20:15:43.5412919Z f8db46864fc7: Pull complete
2025-08-26T20:15:44.4482561Z cdf1ab518f85: Pull complete
2025-08-26T20:15:44.8883146Z 0061302d0495: Pull complete
2025-08-26T20:15:45.6886448Z 7efd21765c9f: Pull complete
2025-08-26T20:15:46.0314697Z 47eb26c12113: Pull complete
2025-08-26T20:15:46.7297502Z 27c4d270ca26: Pull complete
2025-08-26T20:15:47.0992937Z 4bc6ef31bd52: Pull complete
2025-08-26T20:15:47.6756805Z 5ce18bf5b45d: Pull complete
2025-08-26T20:15:48.1479030Z 285c81af4b9d: Pull complete
2025-08-26T20:15:53.0399889Z bb07dd0d561f: Pull complete
2025-08-26T20:15:53.5843649Z 50a5a3b68ee3: Pull complete
2025-08-26T20:15:54.0641092Z 79eecebd063f: Pull complete
2025-08-26T20:15:54.5391593Z 1d221336b6cf: Pull complete
2025-08-26T20:15:55.0093530Z bb9b1ab32155: Pull complete
2025-08-26T20:15:55.4590322Z 0867b7fa637c: Pull complete
2025-08-26T20:15:56.5633008Z 0edddbef40dd: Pull complete
2025-08-26T20:15:58.1405269Z bf05e37245a2: Pull complete
2025-08-26T20:15:58.8959845Z Digest: sha256:acbbd4ce4ca5911beba428e48e3c25069f341e6f142804bf943d333ccc654c8c
2025-08-26T20:15:58.9724756Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:15:59.0171641Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:15:59.0215398Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-08-26T20:15:59.0215952Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-08-26T20:15:59.0223825Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:15:59.0224061Z env:
2025-08-26T20:15:59.0224225Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:15:59.0224406Z ##[endgroup]
2025-08-26T20:15:59.0289894Z Prepare all required actions
2025-08-26T20:15:59.0528676Z ##[group]Run ./.github/actions/get-workflow-job-id
2025-08-26T20:15:59.0528914Z with:
2025-08-26T20:15:59.0529435Z   github-token: ***
2025-08-26T20:15:59.0529600Z env:
2025-08-26T20:15:59.0529919Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:15:59.0530106Z ##[endgroup]
2025-08-26T20:15:59.0721679Z ##[group]Run set -eux
2025-08-26T20:15:59.0721890Z set -eux
2025-08-26T20:15:59.0722170Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}"
2025-08-26T20:15:59.0726645Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:15:59.0726885Z env:
2025-08-26T20:15:59.0727040Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:15:59.0727347Z   GITHUB_TOKEN: ***
2025-08-26T20:15:59.0727510Z ##[endgroup]
2025-08-26T20:15:59.0743923Z + python3 .github/scripts/get_workflow_job_id.py 17248463670 i-0e4d03f5ccda2c09d
2025-08-26T20:15:59.9958406Z Setting output job-id=48946862612
2025-08-26T20:15:59.9958927Z Setting output job-name=linux-jammy-cpu-py3.9-gcc11-inductor / test (inductor_torchbench_cpu_smoketest_perf, 1, 1, linux.24xl.spr-metal)
2025-08-26T20:16:00.0226081Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84
2025-08-26T20:16:00.0226540Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84
2025-08-26T20:16:00.0227095Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 &
2025-08-26T20:16:00.0227589Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}"
2025-08-26T20:16:00.0232222Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:16:00.0232455Z env:
2025-08-26T20:16:00.0232608Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:16:00.0232787Z   JOB_ID: 48946862612
2025-08-26T20:16:00.0233133Z   JOB_NAME: linux-jammy-cpu-py3.9-gcc11-inductor / test (inductor_torchbench_cpu_smoketest_perf, 1, 1, linux.24xl.spr-metal)
2025-08-26T20:16:00.0233500Z   WORKFLOW_NAME: inductor
2025-08-26T20:16:00.0233709Z   WORKFLOW_RUN_ID: 17248463670
2025-08-26T20:16:00.0233886Z   MONITOR_LOG_INTERVAL: 5
2025-08-26T20:16:00.0234062Z   MONITOR_DATA_COLLECT_INTERVAL: 1
2025-08-26T20:16:00.0234255Z ##[endgroup]
2025-08-26T20:16:00.6385162Z Defaulting to user installation because normal site-packages is not writeable
2025-08-26T20:16:00.8862984Z Collecting psutil==5.9.8
2025-08-26T20:16:00.8983236Z   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)
2025-08-26T20:16:00.9944369Z Collecting dataclasses_json==0.6.7
2025-08-26T20:16:00.9970501Z   Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB)
2025-08-26T20:16:01.0375657Z Collecting nvidia-ml-py==11.525.84
2025-08-26T20:16:01.0401935Z   Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB)
2025-08-26T20:16:01.0803313Z Collecting typing-inspect<1,>=0.4.0
2025-08-26T20:16:01.0829367Z   Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB)
2025-08-26T20:16:01.1677874Z Collecting marshmallow<4.0.0,>=3.18.0
2025-08-26T20:16:01.1701281Z   Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB)
2025-08-26T20:16:01.2535144Z Collecting packaging>=17.0
2025-08-26T20:16:01.2575887Z   Downloading packaging-25.0-py3-none-any.whl (66 kB)
2025-08-26T20:16:01.3519861Z Collecting mypy-extensions>=0.3.0
2025-08-26T20:16:01.3546051Z   Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB)
2025-08-26T20:16:01.4449948Z Collecting typing-extensions>=3.7.4
2025-08-26T20:16:01.4481440Z   Downloading typing_extensions-4.15.0-py3-none-any.whl (44 kB)
2025-08-26T20:16:01.7275212Z Installing collected packages: typing-extensions, packaging, mypy-extensions, typing-inspect, marshmallow, psutil, nvidia-ml-py, dataclasses-json
2025-08-26T20:16:02.2243850Z 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
2025-08-26T20:16:02.4118597Z Prepare all required actions
2025-08-26T20:16:02.4118870Z Getting action download info
2025-08-26T20:16:02.5825620Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6)
2025-08-26T20:16:02.9918050Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093)
2025-08-26T20:16:03.2112397Z ##[group]Run ./.github/actions/download-build-artifacts
2025-08-26T20:16:03.2112627Z with:
2025-08-26T20:16:03.2112799Z   name: linux-jammy-py3.9-gcc11-build
2025-08-26T20:16:03.2112998Z   s3-bucket: gha-artifacts
2025-08-26T20:16:03.2113172Z env:
2025-08-26T20:16:03.2113322Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:16:03.2113492Z ##[endgroup]
2025-08-26T20:16:03.2194461Z ##[group]Run seemethere/download-artifact-s3@v4
2025-08-26T20:16:03.2194680Z with:
2025-08-26T20:16:03.2194849Z   name: linux-jammy-py3.9-gcc11-build
2025-08-26T20:16:03.2195054Z   s3-bucket: gha-artifacts
2025-08-26T20:16:03.2195267Z   region: us-east-1
2025-08-26T20:16:03.2195414Z env:
2025-08-26T20:16:03.2195558Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:16:03.2195726Z ##[endgroup]
2025-08-26T20:16:03.7983234Z (node:57597) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023.
2025-08-26T20:16:03.7983678Z 
2025-08-26T20:16:03.7983890Z Please migrate your code to use AWS SDK for JavaScript (v3).
2025-08-26T20:16:03.7984236Z For more information, check the migration guide at https://a.co/7PzMCcy
2025-08-26T20:16:05.4370126Z (Use `node --trace-warnings ...` to show where the warning was created)
2025-08-26T20:16:05.4370637Z Found 1 objects with prefix pytorch/pytorch/17248463670/linux-jammy-py3.9-gcc11-build/
2025-08-26T20:16:05.4371134Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip
2025-08-26T20:16:10.0413618Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip
2025-08-26T20:16:10.0416910Z Artifact download has finished successfully
2025-08-26T20:16:10.0608644Z ##[group]Run unzip -o artifacts.zip
2025-08-26T20:16:10.0608874Z unzip -o artifacts.zip
2025-08-26T20:16:10.0613462Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:16:10.0613713Z env:
2025-08-26T20:16:10.0613866Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:16:10.0614045Z ##[endgroup]
2025-08-26T20:16:10.0839462Z Archive:  artifacts.zip
2025-08-26T20:16:10.0839794Z    creating: dist/
2025-08-26T20:16:11.0959151Z   inflating: dist/torch-2.9.0a0+git262640f-cp39-cp39-linux_x86_64.whl  
2025-08-26T20:16:11.0959570Z    creating: dist/vision/
2025-08-26T20:16:11.1029623Z   inflating: dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl  
2025-08-26T20:16:11.1029931Z    creating: dist/audio/
2025-08-26T20:16:11.1057125Z   inflating: dist/audio/torchaudio-2.8.0a0+10a5002-cp39-cp39-linux_x86_64.whl  
2025-08-26T20:16:11.1057439Z    creating: dist/ao/
2025-08-26T20:16:11.1092292Z   inflating: dist/ao/torchao-0.7.0+git51c87b6e-py3-none-any.whl  
2025-08-26T20:16:11.1198463Z   inflating: dist/.ninja_log         
2025-08-26T20:16:11.1198727Z    creating: build/custom_test_artifacts/
2025-08-26T20:16:11.1199118Z    creating: build/custom_test_artifacts/custom-op-build/
2025-08-26T20:16:11.1199428Z    creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/
2025-08-26T20:16:11.1199783Z    creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/pkgRedirects/
2025-08-26T20:16:11.1201470Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/CMakeConfigureLog.yaml  
2025-08-26T20:16:11.1201898Z    creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/4.0.0/
2025-08-26T20:16:11.1202299Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/4.0.0/CMakeSystem.cmake  
2025-08-26T20:16:11.1202710Z    creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/4.0.0/CompilerIdC/
2025-08-26T20:16:11.1203355Z    creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/4.0.0/CompilerIdC/tmp/
2025-08-26T20:16:11.1203865Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/4.0.0/CompilerIdC/CMakeCCompilerId.c  
2025-08-26T20:16:11.1205172Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/4.0.0/CompilerIdC/a.out  
2025-08-26T20:16:11.1205617Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/4.0.0/CMakeCCompiler.cmake  
2025-08-26T20:16:11.1206045Z    creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/4.0.0/CompilerIdCXX/
2025-08-26T20:16:11.1206431Z    creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/4.0.0/CompilerIdCXX/tmp/
2025-08-26T20:16:11.1207837Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/4.0.0/CompilerIdCXX/CMakeCXXCompilerId.cpp  
2025-08-26T20:16:11.1208879Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/4.0.0/CompilerIdCXX/a.out  
2025-08-26T20:16:11.1209488Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/4.0.0/CMakeCXXCompiler.cmake  
2025-08-26T20:16:11.1210607Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/4.0.0/CMakeDetermineCompilerABI_C.bin  
2025-08-26T20:16:11.1211798Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/4.0.0/CMakeDetermineCompilerABI_CXX.bin  
2025-08-26T20:16:11.1212220Z    creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/CMakeScratch/
2025-08-26T20:16:11.1212592Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/cmake.check_cache  
2025-08-26T20:16:11.1212968Z    creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/custom_ops.dir/
2025-08-26T20:16:11.1213386Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/custom_ops.dir/compiler_depend.ts  
2025-08-26T20:16:11.1213849Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/custom_ops.dir/compiler_depend.make  
2025-08-26T20:16:11.1214289Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/custom_ops.dir/depend.make  
2025-08-26T20:16:11.1214707Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/custom_ops.dir/link.txt  
2025-08-26T20:16:11.1215143Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/custom_ops.dir/cmake_clean.cmake  
2025-08-26T20:16:11.1215572Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/custom_ops.dir/build.make  
2025-08-26T20:16:11.1215996Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/custom_ops.dir/DependInfo.cmake  
2025-08-26T20:16:11.1216417Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/custom_ops.dir/flags.make  
2025-08-26T20:16:11.1216824Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/custom_ops.dir/progress.make  
2025-08-26T20:16:11.1231471Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/custom_ops.dir/op.cpp.o.d  
2025-08-26T20:16:11.1390683Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/custom_ops.dir/op.cpp.o  
2025-08-26T20:16:11.1391255Z    creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/test_custom_ops.dir/
2025-08-26T20:16:11.1391753Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/test_custom_ops.dir/compiler_depend.ts  
2025-08-26T20:16:11.1392252Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/test_custom_ops.dir/compiler_depend.make  
2025-08-26T20:16:11.1392718Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/test_custom_ops.dir/depend.make  
2025-08-26T20:16:11.1393144Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/test_custom_ops.dir/link.txt  
2025-08-26T20:16:11.1393593Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/test_custom_ops.dir/cmake_clean.cmake  
2025-08-26T20:16:11.1394038Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/test_custom_ops.dir/build.make  
2025-08-26T20:16:11.1394695Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/test_custom_ops.dir/DependInfo.cmake  
2025-08-26T20:16:11.1395161Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/test_custom_ops.dir/flags.make  
2025-08-26T20:16:11.1395657Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/test_custom_ops.dir/progress.make  
2025-08-26T20:16:11.1407920Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/test_custom_ops.dir/test_custom_ops.cpp.o.d  
2025-08-26T20:16:11.1473319Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/test_custom_ops.dir/test_custom_ops.cpp.o  
2025-08-26T20:16:11.1473835Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/CMakeDirectoryInformation.cmake  
2025-08-26T20:16:11.1474274Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/TargetDirectories.txt  
2025-08-26T20:16:11.1474686Z  extracting: build/custom_test_artifacts/custom-op-build/CMakeFiles/progress.marks  
2025-08-26T20:16:11.1475062Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/Makefile2  
2025-08-26T20:16:11.1475918Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/Makefile.cmake  
2025-08-26T20:16:11.1476305Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/InstallScripts.json  
2025-08-26T20:16:11.1477274Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeCache.txt  
2025-08-26T20:16:11.1477835Z   inflating: build/custom_test_artifacts/custom-op-build/Makefile  
2025-08-26T20:16:11.1478187Z   inflating: build/custom_test_artifacts/custom-op-build/cmake_install.cmake  
2025-08-26T20:16:11.1613846Z   inflating: build/custom_test_artifacts/custom-op-build/libcustom_ops.so  
2025-08-26T20:16:11.1660766Z   inflating: build/custom_test_artifacts/custom-op-build/test_custom_ops  
2025-08-26T20:16:11.1661072Z    creating: build/custom_test_artifacts/jit-hook-build/
2025-08-26T20:16:11.1661363Z    creating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/
2025-08-26T20:16:11.1661698Z    creating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/pkgRedirects/
2025-08-26T20:16:11.1664293Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/CMakeConfigureLog.yaml  
2025-08-26T20:16:11.1664663Z    creating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/4.0.0/
2025-08-26T20:16:11.1665020Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/4.0.0/CMakeSystem.cmake  
2025-08-26T20:16:11.1665407Z    creating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/4.0.0/CompilerIdC/
2025-08-26T20:16:11.1665817Z    creating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/4.0.0/CompilerIdC/tmp/
2025-08-26T20:16:11.1666891Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/4.0.0/CompilerIdC/CMakeCCompilerId.c  
2025-08-26T20:16:11.1668337Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/4.0.0/CompilerIdC/a.out  
2025-08-26T20:16:11.1668806Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/4.0.0/CMakeCCompiler.cmake  
2025-08-26T20:16:11.1669247Z    creating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/4.0.0/CompilerIdCXX/
2025-08-26T20:16:11.1669644Z    creating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/4.0.0/CompilerIdCXX/tmp/
2025-08-26T20:16:11.1670724Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/4.0.0/CompilerIdCXX/CMakeCXXCompilerId.cpp  
2025-08-26T20:16:11.1671719Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/4.0.0/CompilerIdCXX/a.out  
2025-08-26T20:16:11.1672249Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/4.0.0/CMakeCXXCompiler.cmake  
2025-08-26T20:16:11.1673366Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/4.0.0/CMakeDetermineCompilerABI_C.bin  
2025-08-26T20:16:11.1674475Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/4.0.0/CMakeDetermineCompilerABI_CXX.bin  
2025-08-26T20:16:11.1674903Z    creating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/CMakeScratch/
2025-08-26T20:16:11.1675462Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/cmake.check_cache  
2025-08-26T20:16:11.1675856Z    creating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/test_jit_hooks.dir/
2025-08-26T20:16:11.1676397Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/test_jit_hooks.dir/compiler_depend.ts  
2025-08-26T20:16:11.1676864Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/test_jit_hooks.dir/compiler_depend.make  
2025-08-26T20:16:11.1677316Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/test_jit_hooks.dir/depend.make  
2025-08-26T20:16:11.1677742Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/test_jit_hooks.dir/link.txt  
2025-08-26T20:16:11.1678180Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/test_jit_hooks.dir/cmake_clean.cmake  
2025-08-26T20:16:11.1678620Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/test_jit_hooks.dir/build.make  
2025-08-26T20:16:11.1679067Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/test_jit_hooks.dir/DependInfo.cmake  
2025-08-26T20:16:11.1679501Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/test_jit_hooks.dir/flags.make  
2025-08-26T20:16:11.1679935Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/test_jit_hooks.dir/progress.make  
2025-08-26T20:16:11.1694627Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/test_jit_hooks.dir/test_jit_hooks.cpp.o.d  
2025-08-26T20:16:11.1746247Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/test_jit_hooks.dir/test_jit_hooks.cpp.o  
2025-08-26T20:16:11.1746717Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/CMakeDirectoryInformation.cmake  
2025-08-26T20:16:11.1747149Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/TargetDirectories.txt  
2025-08-26T20:16:11.1747544Z  extracting: build/custom_test_artifacts/jit-hook-build/CMakeFiles/progress.marks  
2025-08-26T20:16:11.1747918Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/Makefile2  
2025-08-26T20:16:11.1748467Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/Makefile.cmake  
2025-08-26T20:16:11.1748852Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/InstallScripts.json  
2025-08-26T20:16:11.1749933Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeCache.txt  
2025-08-26T20:16:11.1750902Z   inflating: build/custom_test_artifacts/jit-hook-build/Makefile  
2025-08-26T20:16:11.1751232Z   inflating: build/custom_test_artifacts/jit-hook-build/cmake_install.cmake  
2025-08-26T20:16:11.1783058Z   inflating: build/custom_test_artifacts/jit-hook-build/test_jit_hooks  
2025-08-26T20:16:11.1783375Z    creating: build/custom_test_artifacts/custom-backend-build/
2025-08-26T20:16:11.1783687Z    creating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/
2025-08-26T20:16:11.1784055Z    creating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/pkgRedirects/
2025-08-26T20:16:11.1786421Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/CMakeConfigureLog.yaml  
2025-08-26T20:16:11.1786816Z    creating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/4.0.0/
2025-08-26T20:16:11.1787204Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/4.0.0/CMakeSystem.cmake  
2025-08-26T20:16:11.1787619Z    creating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/4.0.0/CompilerIdC/
2025-08-26T20:16:11.1788030Z    creating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/4.0.0/CompilerIdC/tmp/
2025-08-26T20:16:11.1789008Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/4.0.0/CompilerIdC/CMakeCCompilerId.c  
2025-08-26T20:16:11.1790007Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/4.0.0/CompilerIdC/a.out  
2025-08-26T20:16:11.1790521Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/4.0.0/CMakeCCompiler.cmake  
2025-08-26T20:16:11.1790953Z    creating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/4.0.0/CompilerIdCXX/
2025-08-26T20:16:11.1791358Z    creating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/4.0.0/CompilerIdCXX/tmp/
2025-08-26T20:16:11.1792871Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/4.0.0/CompilerIdCXX/CMakeCXXCompilerId.cpp  
2025-08-26T20:16:11.1793951Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/4.0.0/CompilerIdCXX/a.out  
2025-08-26T20:16:11.1794466Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/4.0.0/CMakeCXXCompiler.cmake  
2025-08-26T20:16:11.1795597Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/4.0.0/CMakeDetermineCompilerABI_C.bin  
2025-08-26T20:16:11.1796723Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/4.0.0/CMakeDetermineCompilerABI_CXX.bin  
2025-08-26T20:16:11.1797165Z    creating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/CMakeScratch/
2025-08-26T20:16:11.1797556Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/cmake.check_cache  
2025-08-26T20:16:11.1797955Z    creating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/custom_backend.dir/
2025-08-26T20:16:11.1798411Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/custom_backend.dir/compiler_depend.ts  
2025-08-26T20:16:11.1798913Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/custom_backend.dir/compiler_depend.make  
2025-08-26T20:16:11.1799390Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/custom_backend.dir/depend.make  
2025-08-26T20:16:11.1799846Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/custom_backend.dir/link.txt  
2025-08-26T20:16:11.1800331Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/custom_backend.dir/cmake_clean.cmake  
2025-08-26T20:16:11.1800809Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/custom_backend.dir/build.make  
2025-08-26T20:16:11.1801278Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/custom_backend.dir/DependInfo.cmake  
2025-08-26T20:16:11.1801745Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/custom_backend.dir/flags.make  
2025-08-26T20:16:11.1802206Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/custom_backend.dir/progress.make  
2025-08-26T20:16:11.1803461Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/custom_backend.dir/custom_backend.cpp.o.d  
2025-08-26T20:16:11.1901198Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/custom_backend.dir/custom_backend.cpp.o  
2025-08-26T20:16:11.1901668Z    creating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/test_custom_backend.dir/
2025-08-26T20:16:11.1902155Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/test_custom_backend.dir/compiler_depend.ts  
2025-08-26T20:16:11.1902668Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/test_custom_backend.dir/compiler_depend.make  
2025-08-26T20:16:11.1903180Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/test_custom_backend.dir/depend.make  
2025-08-26T20:16:11.1903654Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/test_custom_backend.dir/link.txt  
2025-08-26T20:16:11.1904141Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/test_custom_backend.dir/cmake_clean.cmake  
2025-08-26T20:16:11.1904640Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/test_custom_backend.dir/build.make  
2025-08-26T20:16:11.1905140Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/test_custom_backend.dir/DependInfo.cmake  
2025-08-26T20:16:11.1905694Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/test_custom_backend.dir/flags.make  
2025-08-26T20:16:11.1906190Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/test_custom_backend.dir/progress.make  
2025-08-26T20:16:11.1920810Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/test_custom_backend.dir/test_custom_backend.cpp.o.d  
2025-08-26T20:16:11.1965274Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/test_custom_backend.dir/test_custom_backend.cpp.o  
2025-08-26T20:16:11.1966062Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/CMakeDirectoryInformation.cmake  
2025-08-26T20:16:11.1966527Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/TargetDirectories.txt  
2025-08-26T20:16:11.1966937Z  extracting: build/custom_test_artifacts/custom-backend-build/CMakeFiles/progress.marks  
2025-08-26T20:16:11.1967335Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/Makefile2  
2025-08-26T20:16:11.1968195Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/Makefile.cmake  
2025-08-26T20:16:11.1968603Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/InstallScripts.json  
2025-08-26T20:16:11.1969547Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeCache.txt  
2025-08-26T20:16:11.1970115Z   inflating: build/custom_test_artifacts/custom-backend-build/Makefile  
2025-08-26T20:16:11.1970469Z   inflating: build/custom_test_artifacts/custom-backend-build/cmake_install.cmake  
2025-08-26T20:16:11.2054112Z   inflating: build/custom_test_artifacts/custom-backend-build/libcustom_backend.so  
2025-08-26T20:16:11.2086912Z   inflating: build/custom_test_artifacts/custom-backend-build/test_custom_backend  
2025-08-26T20:16:11.2087198Z    creating: build/lib/
2025-08-26T20:16:11.2156694Z   inflating: build/lib/libprotobuf-lite.a  
2025-08-26T20:16:11.2534123Z   inflating: build/lib/libprotobuf.a  
2025-08-26T20:16:11.2955033Z   inflating: build/lib/libprotoc.a   
2025-08-26T20:16:11.2961266Z   inflating: build/lib/libpthreadpool.a  
2025-08-26T20:16:11.2967927Z   inflating: build/lib/libcpuinfo.a  
2025-08-26T20:16:11.2974483Z   inflating: build/lib/libcpuinfo_internals.a  
2025-08-26T20:16:11.2975146Z   inflating: build/lib/libclog.a     
2025-08-26T20:16:11.2991156Z   inflating: build/lib/libpytorch_qnnpack.a  
2025-08-26T20:16:11.2992888Z   inflating: build/lib/libnnpack_reference_layers.a  
2025-08-26T20:16:11.3151408Z   inflating: build/lib/libmicrokernels-prod.a  
2025-08-26T20:16:11.3166518Z   inflating: build/lib/libnnpack.a   
2025-08-26T20:16:11.3915826Z   inflating: build/lib/libmicrokernels-all.a  
2025-08-26T20:16:11.3971759Z   inflating: build/lib/libgtest.a    
2025-08-26T20:16:11.3986286Z   inflating: build/lib/libgmock.a    
2025-08-26T20:16:11.3986760Z   inflating: build/lib/libgtest_main.a  
2025-08-26T20:16:11.4063502Z   inflating: build/lib/libXNNPACK.a  
2025-08-26T20:16:11.4064104Z   inflating: build/lib/libgmock_main.a  
2025-08-26T20:16:11.4128397Z   inflating: build/lib/libbenchmark.a  
2025-08-26T20:16:11.4128898Z   inflating: build/lib/libbenchmark_main.a  
2025-08-26T20:16:11.4184689Z   inflating: build/lib/libasmjit.a   
2025-08-26T20:16:11.4191304Z   inflating: build/lib/libittnotify.a  
2025-08-26T20:16:11.4191913Z   inflating: build/lib/libjitprofiling.a  
2025-08-26T20:16:11.5165494Z   inflating: build/lib/libfbgemm.a   
2025-08-26T20:16:11.5191351Z   inflating: build/lib/libtensorpipe_uv.a  
2025-08-26T20:16:11.5655806Z   inflating: build/lib/libtensorpipe.a  
2025-08-26T20:16:11.5757173Z   inflating: build/lib/libgloo.a     
2025-08-26T20:16:11.5795658Z   inflating: build/lib/libonnx_proto.a  
2025-08-26T20:16:11.6399568Z   inflating: build/lib/libonnx.a     
2025-08-26T20:16:12.4925040Z   inflating: build/lib/libdnnl.a     
2025-08-26T20:16:12.4938620Z   inflating: build/lib/libfmt.a      
2025-08-26T20:16:12.5164069Z   inflating: build/lib/libkineto.a   
2025-08-26T20:16:12.5255976Z   inflating: build/lib/libc10.so     
2025-08-26T20:16:12.5256956Z   inflating: build/lib/libtorch_global_deps.so  
2025-08-26T20:16:15.0714879Z   inflating: build/lib/libtorch_cpu.so  
2025-08-26T20:16:15.0715676Z   inflating: build/lib/libtorch.so   
2025-08-26T20:16:15.0775371Z   inflating: build/lib/libtorchbind_test.so  
2025-08-26T20:16:15.0791067Z   inflating: build/lib/libjitbackend_test.so  
2025-08-26T20:16:15.0811748Z   inflating: build/lib/libbackend_with_compiler.so  
2025-08-26T20:16:15.0834175Z   inflating: build/lib/libaoti_custom_ops.so  
2025-08-26T20:16:15.0837241Z   inflating: build/lib/libshm.so     
2025-08-26T20:16:15.2588473Z   inflating: build/lib/libtorch_python.so  
2025-08-26T20:16:15.2617117Z   inflating: build/lib/libnnapi_backend.so  
2025-08-26T20:16:15.2617376Z    creating: build/bin/
2025-08-26T20:16:15.2617561Z    creating: build/bin/CMakeFiles/
2025-08-26T20:16:15.2617864Z   inflating: build/bin/cmake_install.cmake  
2025-08-26T20:16:15.2618410Z   inflating: build/bin/CTestTestfile.cmake  
2025-08-26T20:16:15.3012394Z   inflating: build/bin/protoc-3.13.0.0  
2025-08-26T20:16:15.3406585Z   inflating: build/bin/protoc        
2025-08-26T20:16:15.3455113Z   inflating: build/bin/c10_AllocatorConfig_test  
2025-08-26T20:16:15.3502476Z   inflating: build/bin/c10_CompileTimeFunctionPointer_test  
2025-08-26T20:16:15.3551657Z   inflating: build/bin/c10_DeviceGuard_test  
2025-08-26T20:16:15.3601078Z   inflating: build/bin/c10_Device_test  
2025-08-26T20:16:15.3656818Z   inflating: build/bin/c10_DispatchKeySet_test  
2025-08-26T20:16:15.3703538Z   inflating: build/bin/c10_StreamGuard_test  
2025-08-26T20:16:15.3755009Z   inflating: build/bin/c10_InlineDeviceGuard_test  
2025-08-26T20:16:15.3803551Z   inflating: build/bin/c10_SymInt_test  
2025-08-26T20:16:15.3854789Z   inflating: build/bin/c10_Scalar_test  
2025-08-26T20:16:15.3901552Z   inflating: build/bin/c10_ConstexprCrc_test  
2025-08-26T20:16:15.3954278Z   inflating: build/bin/c10_InlineStreamGuard_test  
2025-08-26T20:16:15.4019741Z   inflating: build/bin/c10_cow_test  
2025-08-26T20:16:15.4072896Z   inflating: build/bin/c10_SizesAndStrides_test  
2025-08-26T20:16:15.4122998Z   inflating: build/bin/c10_Bitset_test  
2025-08-26T20:16:15.4170124Z   inflating: build/bin/c10_ArrayRef_test  
2025-08-26T20:16:15.4217428Z   inflating: build/bin/c10_DeadlockDetection_test  
2025-08-26T20:16:15.4271236Z   inflating: build/bin/c10_Enumerate_test  
2025-08-26T20:16:15.4321482Z   inflating: build/bin/c10_IntrusiveList_test  
2025-08-26T20:16:15.4374329Z   inflating: build/bin/c10_LeftRight_test  
2025-08-26T20:16:15.4422590Z   inflating: build/bin/c10_Half_test  
2025-08-26T20:16:15.4475604Z   inflating: build/bin/c10_Metaprogramming_test  
2025-08-26T20:16:15.4526270Z   inflating: build/bin/c10_NetworkFlow_test  
2025-08-26T20:16:15.4573709Z   inflating: build/bin/c10_Semaphore_test  
2025-08-26T20:16:15.4621326Z   inflating: build/bin/c10_Synchronized_test  
2025-08-26T20:16:15.4673797Z   inflating: build/bin/c10_ThreadLocal_test  
2025-08-26T20:16:15.4723145Z   inflating: build/bin/c10_TypeIndex_test  
2025-08-26T20:16:15.4771571Z   inflating: build/bin/c10_TypeList_test  
2025-08-26T20:16:15.4818384Z   inflating: build/bin/c10_TypeTraits_test  
2025-08-26T20:16:15.4867364Z   inflating: build/bin/c10_accumulate_test  
2025-08-26T20:16:15.4920353Z   inflating: build/bin/c10_bfloat16_test  
2025-08-26T20:16:15.4974105Z   inflating: build/bin/c10_complex_math_test  
2025-08-26T20:16:15.5021942Z   inflating: build/bin/c10_bit_cast_test  
2025-08-26T20:16:15.5069202Z   inflating: build/bin/c10_error_test  
2025-08-26T20:16:15.5121401Z   inflating: build/bin/c10_complex_test  
2025-08-26T20:16:15.5171373Z   inflating: build/bin/c10_exception_test  
2025-08-26T20:16:15.5219045Z   inflating: build/bin/c10_flags_test  
2025-08-26T20:16:15.5267128Z   inflating: build/bin/c10_generic_math_test  
2025-08-26T20:16:15.5315566Z   inflating: build/bin/c10_irange_test  
2025-08-26T20:16:15.5461037Z   inflating: build/bin/c10_intrusive_ptr_test  
2025-08-26T20:16:15.5514392Z   inflating: build/bin/c10_lazy_test  
2025-08-26T20:16:15.5566676Z   inflating: build/bin/c10_logging_test  
2025-08-26T20:16:15.5616687Z   inflating: build/bin/c10_registry_test  
2025-08-26T20:16:15.5686529Z   inflating: build/bin/c10_optional_test  
2025-08-26T20:16:15.5824178Z   inflating: build/bin/c10_small_vector_test  
2025-08-26T20:16:15.5882642Z   inflating: build/bin/c10_ordered_preserving_dict_test  
2025-08-26T20:16:15.5931560Z   inflating: build/bin/c10_ssize_test  
2025-08-26T20:16:15.5985255Z   inflating: build/bin/c10_string_util_test  
2025-08-26T20:16:15.6033049Z   inflating: build/bin/c10_tempfile_test  
2025-08-26T20:16:15.6080043Z   inflating: build/bin/c10_string_view_test  
2025-08-26T20:16:15.6121935Z   inflating: build/bin/c10_intrusive_ptr_benchmark  
2025-08-26T20:16:15.6175193Z   inflating: build/bin/c10_typeid_test  
2025-08-26T20:16:15.6686163Z   inflating: build/bin/vec_test_all_types_DEFAULT  
2025-08-26T20:16:15.7210056Z   inflating: build/bin/vec_test_all_types_AVX512  
2025-08-26T20:16:15.7739326Z   inflating: build/bin/vec_test_all_types_AVX2  
2025-08-26T20:16:15.7789215Z   inflating: build/bin/static_runtime_bench  
2025-08-26T20:16:15.8012349Z   inflating: build/bin/static_runtime_test  
2025-08-26T20:16:15.8078837Z   inflating: build/bin/Dict_test     
2025-08-26T20:16:15.8128573Z   inflating: build/bin/Dimname_test  
2025-08-26T20:16:15.8189441Z   inflating: build/bin/MaybeOwned_test  
2025-08-26T20:16:15.8243188Z   inflating: build/bin/NamedTensor_test  
2025-08-26T20:16:15.8298544Z   inflating: build/bin/apply_utils_test  
2025-08-26T20:16:15.8354321Z   inflating: build/bin/atest         
2025-08-26T20:16:15.8414273Z   inflating: build/bin/basic         
2025-08-26T20:16:15.8466820Z   inflating: build/bin/broadcast_test  
2025-08-26T20:16:15.8515373Z   inflating: build/bin/cpu_allocator_test  
2025-08-26T20:16:15.8570481Z   inflating: build/bin/cpu_generator_test  
2025-08-26T20:16:15.8621195Z   inflating: build/bin/cpu_profiling_allocator_test  
2025-08-26T20:16:15.8705638Z   inflating: build/bin/cpu_rng_test  
2025-08-26T20:16:15.8754381Z   inflating: build/bin/dlconvertor_test  
2025-08-26T20:16:15.8808689Z   inflating: build/bin/extension_backend_test  
2025-08-26T20:16:15.8861405Z   inflating: build/bin/half_test     
2025-08-26T20:16:15.8950061Z   inflating: build/bin/ivalue_test   
2025-08-26T20:16:15.8997792Z   inflating: build/bin/lazy_tensor_test  
2025-08-26T20:16:15.9048397Z   inflating: build/bin/math_kernel_test  
2025-08-26T20:16:15.9099770Z   inflating: build/bin/memory_format_test  
2025-08-26T20:16:15.9150605Z   inflating: build/bin/memory_overlapping_test  
2025-08-26T20:16:15.9201301Z   inflating: build/bin/mobile_memory_cleanup  
2025-08-26T20:16:15.9254415Z   inflating: build/bin/native_test   
2025-08-26T20:16:15.9302904Z   inflating: build/bin/operator_name_test  
2025-08-26T20:16:15.9350990Z   inflating: build/bin/operators_test  
2025-08-26T20:16:15.9400799Z   inflating: build/bin/packedtensoraccessor_test  
2025-08-26T20:16:15.9463377Z   inflating: build/bin/pow_test      
2025-08-26T20:16:15.9517933Z   inflating: build/bin/quantized_test  
2025-08-26T20:16:15.9565473Z   inflating: build/bin/reduce_ops_test  
2025-08-26T20:16:15.9614211Z   inflating: build/bin/reportMemoryUsage_test  
2025-08-26T20:16:15.9667742Z   inflating: build/bin/scalar_tensor_test  
2025-08-26T20:16:15.9722972Z   inflating: build/bin/scalar_test   
2025-08-26T20:16:15.9771860Z   inflating: build/bin/StorageUtils_test  
2025-08-26T20:16:15.9821351Z   inflating: build/bin/stride_properties_test  
2025-08-26T20:16:15.9893988Z   inflating: build/bin/tensor_iterator_test  
2025-08-26T20:16:15.9945510Z   inflating: build/bin/test_parallel  
2025-08-26T20:16:15.9993707Z   inflating: build/bin/thread_init_test  
2025-08-26T20:16:16.0045791Z   inflating: build/bin/type_ptr_test  
2025-08-26T20:16:16.0101896Z   inflating: build/bin/type_test     
2025-08-26T20:16:16.0151830Z   inflating: build/bin/undefined_tensor_test  
2025-08-26T20:16:16.0199112Z   inflating: build/bin/verify_api_visibility  
2025-08-26T20:16:16.0264745Z   inflating: build/bin/legacy_vmap_test  
2025-08-26T20:16:16.0313302Z   inflating: build/bin/weakref_test  
2025-08-26T20:16:16.0362127Z   inflating: build/bin/wrapdim_test  
2025-08-26T20:16:16.0411144Z   inflating: build/bin/xla_tensor_test  
2025-08-26T20:16:16.0467246Z   inflating: build/bin/IListRef_test  
2025-08-26T20:16:16.0564112Z   inflating: build/bin/List_test     
2025-08-26T20:16:16.0627847Z   inflating: build/bin/KernelFunction_test  
2025-08-26T20:16:16.0736872Z   inflating: build/bin/kernel_function_legacy_test  
2025-08-26T20:16:16.0824918Z   inflating: build/bin/kernel_function_test  
2025-08-26T20:16:16.0939412Z   inflating: build/bin/kernel_lambda_legacy_test  
2025-08-26T20:16:16.1031598Z   inflating: build/bin/kernel_lambda_test  
2025-08-26T20:16:16.1088684Z   inflating: build/bin/kernel_stackbased_test  
2025-08-26T20:16:16.1175394Z   inflating: build/bin/make_boxed_from_unboxed_functor_test  
2025-08-26T20:16:16.1223964Z   inflating: build/bin/CppSignature_test  
2025-08-26T20:16:16.1276234Z   inflating: build/bin/backend_fallback_test  
2025-08-26T20:16:16.1323102Z   inflating: build/bin/op_allowlist_test  
2025-08-26T20:16:16.1594481Z   inflating: build/bin/op_registration_test  
2025-08-26T20:16:16.1656750Z   inflating: build/bin/inline_container_test  
2025-08-26T20:16:16.2620365Z   inflating: build/bin/test_jit      
2025-08-26T20:16:16.2669201Z   inflating: build/bin/BackoffTest   
2025-08-26T20:16:16.2719738Z   inflating: build/bin/FileStoreTest  
2025-08-26T20:16:16.2773766Z   inflating: build/bin/TCPStoreTest  
2025-08-26T20:16:16.2824778Z   inflating: build/bin/HashStoreTest  
2025-08-26T20:16:16.3151650Z   inflating: build/bin/test_nativert  
2025-08-26T20:16:16.3153782Z   inflating: build/bin/example_allreduce  
2025-08-26T20:16:16.3215676Z   inflating: build/bin/ProcessGroupGlooTest  
2025-08-26T20:16:16.3267900Z   inflating: build/bin/test_dist_autograd  
2025-08-26T20:16:16.3331010Z   inflating: build/bin/test_cpp_rpc  
2025-08-26T20:16:16.4320330Z   inflating: build/bin/test_api      
2025-08-26T20:16:16.4320957Z   inflating: build/bin/parallel_benchmark  
2025-08-26T20:16:16.4621329Z   inflating: build/bin/test_lazy     
2025-08-26T20:16:16.4623736Z   inflating: build/bin/torch_shm_manager  
2025-08-26T20:16:16.4624019Z    creating: .additional_ci_files/
2025-08-26T20:16:16.4691562Z   inflating: .additional_ci_files/test-times.json  
2025-08-26T20:16:16.4953034Z   inflating: .additional_ci_files/test-class-times.json  
2025-08-26T20:16:16.4973575Z ##[group]Run rm artifacts.zip
2025-08-26T20:16:16.4973784Z rm artifacts.zip
2025-08-26T20:16:16.4979047Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:16:16.4979274Z env:
2025-08-26T20:16:16.4979430Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:16:16.4979607Z ##[endgroup]
2025-08-26T20:16:16.5440909Z ##[group]Run df -H
2025-08-26T20:16:16.5441087Z df -H
2025-08-26T20:16:16.5444848Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:16:16.5445078Z env:
2025-08-26T20:16:16.5445245Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:16:16.5445425Z ##[endgroup]
2025-08-26T20:16:16.5476522Z Filesystem        Size  Used Avail Use% Mounted on
2025-08-26T20:16:16.5476793Z devtmpfs          4.2M     0  4.2M   0% /dev
2025-08-26T20:16:16.5477034Z tmpfs             102G     0  102G   0% /dev/shm
2025-08-26T20:16:16.5477247Z tmpfs              41G   11M   41G   1% /run
2025-08-26T20:16:16.5477450Z /dev/nvme0n1p1    215G   72G  144G  34% /
2025-08-26T20:16:16.5477650Z tmpfs             102G   13k  102G   1% /tmp
2025-08-26T20:16:16.5477865Z /dev/nvme0n1p128   11M  1.4M  9.2M  13% /boot/efi
2025-08-26T20:16:16.5499993Z Prepare all required actions
2025-08-26T20:16:16.5500373Z Getting action download info
2025-08-26T20:16:16.7440669Z ##[group]Run ./.github/actions/download-td-artifacts
2025-08-26T20:16:16.7440897Z with:
2025-08-26T20:16:16.7441040Z env:
2025-08-26T20:16:16.7441191Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:16:16.7441358Z ##[endgroup]
2025-08-26T20:16:16.7623308Z ##[group]Run seemethere/download-artifact-s3@v4
2025-08-26T20:16:16.7623526Z with:
2025-08-26T20:16:16.7623667Z   name: td_results
2025-08-26T20:16:16.7623839Z   s3-bucket: gha-artifacts
2025-08-26T20:16:16.7624019Z   region: us-east-1
2025-08-26T20:16:16.7624235Z env:
2025-08-26T20:16:16.7624382Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:16:16.7624554Z ##[endgroup]
2025-08-26T20:16:17.0779666Z (node:57619) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023.
2025-08-26T20:16:17.0779953Z 
2025-08-26T20:16:17.0780128Z Please migrate your code to use AWS SDK for JavaScript (v3).
2025-08-26T20:16:17.0780452Z For more information, check the migration guide at https://a.co/7PzMCcy
2025-08-26T20:16:17.0780775Z (Use `node --trace-warnings ...` to show where the warning was created)
2025-08-26T20:16:17.1463269Z Found 0 objects with prefix pytorch/pytorch/17248463670/td_results/
2025-08-26T20:16:17.1466958Z Artifact download has finished successfully
2025-08-26T20:16:17.8515839Z ##[group]Run mkdir -p .additional_ci_files
2025-08-26T20:16:17.8516079Z mkdir -p .additional_ci_files
2025-08-26T20:16:17.8516343Z mv td_results.json .additional_ci_files/td_results.json || true
2025-08-26T20:16:17.8521223Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:16:17.8521447Z env:
2025-08-26T20:16:17.8521600Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:16:17.8521776Z ##[endgroup]
2025-08-26T20:16:17.8561349Z mv: cannot stat 'td_results.json': No such file or directory
2025-08-26T20:16:17.8737048Z ##[group]Run .github/scripts/parse_ref.py
2025-08-26T20:16:17.8737288Z .github/scripts/parse_ref.py
2025-08-26T20:16:17.8740938Z shell: /usr/bin/bash -e {0}
2025-08-26T20:16:17.8741124Z env:
2025-08-26T20:16:17.8741287Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:16:17.8741463Z ##[endgroup]
2025-08-26T20:16:17.9337815Z Setting output branch=main
2025-08-26T20:16:17.9417082Z Prepare all required actions
2025-08-26T20:16:17.9417356Z Getting action download info
2025-08-26T20:16:18.0638401Z ##[group]Run ./.github/actions/filter-test-configs
2025-08-26T20:16:18.0638659Z with:
2025-08-26T20:16:18.0639062Z   github-token: ***
2025-08-26T20:16:18.0665474Z   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"}]}
2025-08-26T20:16:18.0667343Z   job-name: linux-jammy-cpu-py3.9-gcc11-inductor / test (inductor_torchbench_cpu_smoketest_perf, 1, 1, linux.24xl.spr-metal)
2025-08-26T20:16:18.0667716Z env:
2025-08-26T20:16:18.0667879Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:16:18.0668061Z ##[endgroup]
2025-08-26T20:16:18.0846688Z ##[group]Run nick-fields/retry@v3.0.0
2025-08-26T20:16:18.0846896Z with:
2025-08-26T20:16:18.0847045Z   shell: bash
2025-08-26T20:16:18.0847193Z   timeout_minutes: 10
2025-08-26T20:16:18.0847357Z   max_attempts: 5
2025-08-26T20:16:18.0847523Z   retry_wait_seconds: 30
2025-08-26T20:16:18.0847979Z   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

2025-08-26T20:16:18.0848424Z   polling_interval_seconds: 1
2025-08-26T20:16:18.0848618Z   warning_on_retry: true
2025-08-26T20:16:18.0848788Z   continue_on_error: false
2025-08-26T20:16:18.0848952Z env:
2025-08-26T20:16:18.0849089Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:16:18.0849380Z   GITHUB_TOKEN: ***
2025-08-26T20:16:18.0849537Z ##[endgroup]
2025-08-26T20:16:18.2148134Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2
2025-08-26T20:16:18.3839039Z Defaulting to user installation because normal site-packages is not writeable
2025-08-26T20:16:18.4822575Z Collecting requests==2.27.1
2025-08-26T20:16:18.4933670Z   Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB)
2025-08-26T20:16:18.6658258Z Collecting pyyaml==6.0.2
2025-08-26T20:16:18.6684326Z   Downloading PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (737 kB)
2025-08-26T20:16:18.7483973Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (1.25.10)
2025-08-26T20:16:18.8296122Z Collecting certifi>=2017.4.17
2025-08-26T20:16:18.8325328Z   Downloading certifi-2025.8.3-py3-none-any.whl (161 kB)
2025-08-26T20:16:18.8800421Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (2.10)
2025-08-26T20:16:19.1599568Z Collecting charset-normalizer~=2.0.0
2025-08-26T20:16:19.1624885Z   Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB)
2025-08-26T20:16:19.2661296Z Installing collected packages: charset-normalizer, certifi, requests, pyyaml
2025-08-26T20:16:19.6545102Z Successfully installed certifi-2025.8.3 charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1
2025-08-26T20:16:20.1409476Z Command completed after 1 attempt(s).
2025-08-26T20:16:20.1560041Z ##[group]Run set -x
2025-08-26T20:16:20.1560215Z set -x
2025-08-26T20:16:20.1560372Z 
2025-08-26T20:16:20.1560608Z # Use relative path here as this could be checked out anywhere, not necessarily
2025-08-26T20:16:20.1560894Z # in runner workspace
2025-08-26T20:16:20.1561262Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py"
2025-08-26T20:16:20.1565657Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:16:20.1565964Z env:
2025-08-26T20:16:20.1566113Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:16:20.1566285Z ##[endgroup]
2025-08-26T20:16:20.1584059Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py
2025-08-26T20:16:20.1714821Z Setting output branch=main
2025-08-26T20:16:20.1881070Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}"
2025-08-26T20:16:20.1881332Z echo "Workflow: ${GITHUB_WORKFLOW}"
2025-08-26T20:16:20.1881553Z echo "Job name: ${JOB_NAME}"
2025-08-26T20:16:20.1881752Z 
2025-08-26T20:16:20.1881987Z # Use relative path here as this could be checked out anywhere, not necessarily
2025-08-26T20:16:20.1882278Z # in runner workspace
2025-08-26T20:16:20.1882559Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \
2025-08-26T20:16:20.1882851Z   --workflow "${GITHUB_WORKFLOW}" \
2025-08-26T20:16:20.1883061Z   --job-name "${JOB_NAME}" \
2025-08-26T20:16:20.1884596Z   --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"}]}" \
2025-08-26T20:16:20.1886119Z   --selected-test-configs "" \
2025-08-26T20:16:20.1886329Z   --pr-number "${PR_NUMBER}" \
2025-08-26T20:16:20.1886519Z   --tag "${TAG}" \
2025-08-26T20:16:20.1886710Z   --event-name "${EVENT_NAME}" \
2025-08-26T20:16:20.1886996Z   --schedule "${SCHEDULE}" \
2025-08-26T20:16:20.1887193Z   --branch "${HEAD_BRANCH}"
2025-08-26T20:16:20.1890822Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:16:20.1891044Z env:
2025-08-26T20:16:20.1891198Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:16:20.1891566Z   GITHUB_TOKEN: ***
2025-08-26T20:16:20.1891923Z   JOB_NAME: linux-jammy-cpu-py3.9-gcc11-inductor / test (inductor_torchbench_cpu_smoketest_perf, 1, 1, linux.24xl.spr-metal)
2025-08-26T20:16:20.1892289Z   PR_NUMBER: 
2025-08-26T20:16:20.1892432Z   TAG: 
2025-08-26T20:16:20.1892574Z   EVENT_NAME: push
2025-08-26T20:16:20.1892741Z   SCHEDULE: 
2025-08-26T20:16:20.1892885Z   HEAD_BRANCH: main
2025-08-26T20:16:20.1893044Z ##[endgroup]
2025-08-26T20:16:20.1909802Z Workflow: inductor
2025-08-26T20:16:20.1910240Z Job name: linux-jammy-cpu-py3.9-gcc11-inductor / test (inductor_torchbench_cpu_smoketest_perf, 1, 1, linux.24xl.spr-metal)
2025-08-26T20:16:20.3407932Z Setting output keep-going=True
2025-08-26T20:16:20.3408230Z Setting output ci-verbose-test-logs=False
2025-08-26T20:16:20.3408469Z Setting output ci-test-showlocals=False
2025-08-26T20:16:20.3408691Z Setting output ci-no-test-timeout=False
2025-08-26T20:16:20.3408890Z Setting output ci-no-td=False
2025-08-26T20:16:20.3409094Z Setting output ci-td-distributed=False
2025-08-26T20:16:20.3409305Z Setting output is-unstable=False
2025-08-26T20:16:20.3409510Z Setting output reenabled-issues=
2025-08-26T20:16:20.3411267Z 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"}]}
2025-08-26T20:16:20.3412848Z Setting output is-test-matrix-empty=False
2025-08-26T20:16:20.3651359Z ##[group]Run echo "Filtered matrix:"
2025-08-26T20:16:20.3651593Z echo "Filtered matrix:"
2025-08-26T20:16:20.3653070Z 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"}]}"
2025-08-26T20:16:20.3654542Z 
2025-08-26T20:16:20.3654687Z echo
2025-08-26T20:16:20.3654868Z echo "Is the current job unstable? False"
2025-08-26T20:16:20.3655093Z 
2025-08-26T20:16:20.3655233Z echo
2025-08-26T20:16:20.3655402Z echo "Is keep-going label set? True"
2025-08-26T20:16:20.3655592Z 
2025-08-26T20:16:20.3655728Z echo
2025-08-26T20:16:20.3655884Z echo "Reenabled issues? "
2025-08-26T20:16:20.3659399Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:16:20.3659744Z env:
2025-08-26T20:16:20.3659912Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:16:20.3660093Z ##[endgroup]
2025-08-26T20:16:20.3677941Z Filtered matrix:
2025-08-26T20:16:20.3679477Z {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}]}
2025-08-26T20:16:20.3680887Z 
2025-08-26T20:16:20.3680972Z Is the current job unstable? False
2025-08-26T20:16:20.3681110Z 
2025-08-26T20:16:20.3681198Z Is keep-going label set? True
2025-08-26T20:16:20.3681319Z 
2025-08-26T20:16:20.3681393Z Reenabled issues? 
2025-08-26T20:16:20.3783383Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}"
2025-08-26T20:16:20.3783702Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}"
2025-08-26T20:16:20.3787418Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:16:20.3787650Z env:
2025-08-26T20:16:20.3787794Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:16:20.3787970Z   JOB_TIMEOUT: 240
2025-08-26T20:16:20.3788118Z ##[endgroup]
2025-08-26T20:16:20.3948877Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-08-26T20:16:20.3949192Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-08-26T20:16:20.3949458Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-08-26T20:16:20.3952772Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:16:20.3953012Z env:
2025-08-26T20:16:20.3953168Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:16:20.3953342Z ##[endgroup]
2025-08-26T20:16:20.4160777Z ##[group]Run set -x
2025-08-26T20:16:20.4161022Z set -x
2025-08-26T20:16:20.4161171Z 
2025-08-26T20:16:20.4161351Z if [[ $TEST_CONFIG == 'multigpu' ]]; then
2025-08-26T20:16:20.4161602Z   TEST_COMMAND=.ci/pytorch/multigpu-test.sh
2025-08-26T20:16:20.4161853Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then
2025-08-26T20:16:20.4162072Z   TEST_COMMAND=.ci/onnx/test.sh
2025-08-26T20:16:20.4162266Z else
2025-08-26T20:16:20.4162435Z   TEST_COMMAND=.ci/pytorch/test.sh
2025-08-26T20:16:20.4162627Z fi
2025-08-26T20:16:20.4162761Z 
2025-08-26T20:16:20.4162935Z # Leaving 1GB for the runner and other things
2025-08-26T20:16:20.4163269Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo)
2025-08-26T20:16:20.4163773Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap
2025-08-26T20:16:20.4164161Z # comes from https://github.com/pytorch/test-infra/pull/6058
2025-08-26T20:16:20.4164468Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3))
2025-08-26T20:16:20.4164713Z 
2025-08-26T20:16:20.4164892Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then
2025-08-26T20:16:20.4165099Z   SHM_OPTS=
2025-08-26T20:16:20.4165264Z   JENKINS_USER=
2025-08-26T20:16:20.4165489Z   # ensure that docker container cleanly exits in 12 hours
2025-08-26T20:16:20.4165830Z   # if for some reason cleanup action doesn't stop container
2025-08-26T20:16:20.4166082Z   # when job is cancelled
2025-08-26T20:16:20.4166276Z   DOCKER_SHELL_CMD="sleep 12h"
2025-08-26T20:16:20.4166470Z else
2025-08-26T20:16:20.4166656Z   SHM_OPTS="--shm-size=${SHM_SIZE}"
2025-08-26T20:16:20.4166938Z   JENKINS_USER="--user jenkins"
2025-08-26T20:16:20.4167127Z   DOCKER_SHELL_CMD=
2025-08-26T20:16:20.4167302Z fi
2025-08-26T20:16:20.4167443Z 
2025-08-26T20:16:20.4167654Z # detached container should get cleaned up by teardown_ec2_linux
2025-08-26T20:16:20.4167956Z # TODO: Stop building test binaries as part of the build phase
2025-08-26T20:16:20.4168303Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice
2025-08-26T20:16:20.4168609Z # shellcheck disable=SC2086,SC2090
2025-08-26T20:16:20.4168821Z container_name=$(docker run \
2025-08-26T20:16:20.4169021Z   ${GPU_FLAG:-} \
2025-08-26T20:16:20.4169211Z   ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \
2025-08-26T20:16:20.4169423Z   -e BUILD_ENVIRONMENT \
2025-08-26T20:16:20.4169612Z   -e PR_NUMBER \
2025-08-26T20:16:20.4169789Z   -e GITHUB_ACTIONS \
2025-08-26T20:16:20.4169970Z   -e GITHUB_REPOSITORY \
2025-08-26T20:16:20.4170162Z   -e GITHUB_WORKFLOW \
2025-08-26T20:16:20.4170344Z   -e GITHUB_JOB \
2025-08-26T20:16:20.4170521Z   -e GITHUB_RUN_ID \
2025-08-26T20:16:20.4170696Z   -e GITHUB_RUN_NUMBER \
2025-08-26T20:16:20.4170881Z   -e GITHUB_RUN_ATTEMPT \
2025-08-26T20:16:20.4171070Z   -e JOB_ID \
2025-08-26T20:16:20.4171245Z   -e JOB_NAME \
2025-08-26T20:16:20.4171406Z   -e BASE_SHA \
2025-08-26T20:16:20.4171572Z   -e BRANCH \
2025-08-26T20:16:20.4171731Z   -e SHA1 \
2025-08-26T20:16:20.4171897Z   -e AWS_DEFAULT_REGION \
2025-08-26T20:16:20.4172075Z   -e IN_WHEEL_TEST \
2025-08-26T20:16:20.4172252Z   -e SHARD_NUMBER \
2025-08-26T20:16:20.4172429Z   -e TEST_CONFIG \
2025-08-26T20:16:20.4172609Z   -e NUM_TEST_SHARDS \
2025-08-26T20:16:20.4172786Z   -e REENABLED_ISSUES \
2025-08-26T20:16:20.4172982Z   -e CONTINUE_THROUGH_ERROR \
2025-08-26T20:16:20.4173265Z   -e VERBOSE_TEST_LOGS \
2025-08-26T20:16:20.4173455Z   -e TEST_SHOWLOCALS \
2025-08-26T20:16:20.4173626Z   -e NO_TEST_TIMEOUT \
2025-08-26T20:16:20.4173803Z   -e NO_TD \
2025-08-26T20:16:20.4173970Z   -e TD_DISTRIBUTED \
2025-08-26T20:16:20.4174149Z   -e PR_LABELS \
2025-08-26T20:16:20.4174342Z   -e MAX_JOBS="$(nproc --ignore=2)" \
2025-08-26T20:16:20.4174538Z   -e SCCACHE_BUCKET \
2025-08-26T20:16:20.4174714Z   -e SCCACHE_REGION \
2025-08-26T20:16:20.4174887Z   -e XLA_CUDA \
2025-08-26T20:16:20.4175074Z   -e XLA_CLANG_CACHE_S3_BUCKET_NAME \
2025-08-26T20:16:20.4175289Z   -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \
2025-08-26T20:16:20.4175517Z   -e PYTORCH_TEST_RERUN_DISABLED_TESTS \
2025-08-26T20:16:20.4175742Z   -e SKIP_SCCACHE_INITIALIZATION=1 \
2025-08-26T20:16:20.4175956Z   -e HUGGING_FACE_HUB_TOKEN \
2025-08-26T20:16:20.4176157Z   -e VLLM_TEST_HUGGING_FACE_TOKEN \
2025-08-26T20:16:20.4176368Z   -e SCRIBE_GRAPHQL_ACCESS_TOKEN \
2025-08-26T20:16:20.4176566Z   -e DASHBOARD_TAG \
2025-08-26T20:16:20.4176750Z   -e ARTIFACTS_FILE_SUFFIX \
2025-08-26T20:16:20.4176966Z   --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \
2025-08-26T20:16:20.4177224Z   --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \
2025-08-26T20:16:20.4177492Z   --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \
2025-08-26T20:16:20.4177746Z   --security-opt seccomp=unconfined \
2025-08-26T20:16:20.4177949Z   --cap-add=SYS_PTRACE \
2025-08-26T20:16:20.4178140Z   --ipc=host \
2025-08-26T20:16:20.4178309Z   ${SHM_OPTS} \
2025-08-26T20:16:20.4178472Z   --tty \
2025-08-26T20:16:20.4178622Z   --detach \
2025-08-26T20:16:20.4178799Z   --name="${container_name}" \
2025-08-26T20:16:20.4179040Z   ${JENKINS_USER} \
2025-08-26T20:16:20.4179268Z   -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \
2025-08-26T20:16:20.4179515Z   -w /var/lib/jenkins/workspace \
2025-08-26T20:16:20.4179706Z   "${DOCKER_IMAGE}" \
2025-08-26T20:16:20.4179883Z   ${DOCKER_SHELL_CMD}
2025-08-26T20:16:20.4180055Z )
2025-08-26T20:16:20.4180250Z # Propagate download.pytorch.org IP to container
2025-08-26T20:16:20.4180626Z grep download.pytorch.org /etc/hosts | docker exec -i "${container_name}" sudo bash -c "/bin/cat >> /etc/hosts"
2025-08-26T20:16:20.4181028Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}"
2025-08-26T20:16:20.4181270Z 
2025-08-26T20:16:20.4181448Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then
2025-08-26T20:16:20.4181780Z   docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt"
2025-08-26T20:16:20.4182074Z fi
2025-08-26T20:16:20.4182217Z 
2025-08-26T20:16:20.4182506Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}"
2025-08-26T20:16:20.4186090Z shell: /usr/bin/bash -e {0}
2025-08-26T20:16:20.4186259Z env:
2025-08-26T20:16:20.4186411Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:16:20.4186627Z   BUILD_ENVIRONMENT: linux-jammy-py3.9-gcc11-build
2025-08-26T20:16:20.4186842Z   PR_NUMBER: 
2025-08-26T20:16:20.4186997Z   GITHUB_REPOSITORY: pytorch/pytorch
2025-08-26T20:16:20.4187196Z   GITHUB_WORKFLOW: inductor
2025-08-26T20:16:20.4187372Z   GITHUB_JOB: test
2025-08-26T20:16:20.4187536Z   GITHUB_RUN_ID: 17248463670
2025-08-26T20:16:20.4187703Z   GITHUB_RUN_NUMBER: 149891
2025-08-26T20:16:20.4187876Z   GITHUB_RUN_ATTEMPT: 1
2025-08-26T20:16:20.4188042Z   JOB_ID: 48946862612
2025-08-26T20:16:20.4188389Z   JOB_NAME: linux-jammy-cpu-py3.9-gcc11-inductor / test (inductor_torchbench_cpu_smoketest_perf, 1, 1, linux.24xl.spr-metal)
2025-08-26T20:16:20.4188751Z   BRANCH: main
2025-08-26T20:16:20.4188978Z   SHA1: 262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T20:16:20.4189207Z   BASE_SHA: 262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T20:16:20.4189446Z   TEST_CONFIG: inductor_torchbench_cpu_smoketest_perf
2025-08-26T20:16:20.4189659Z   SHARD_NUMBER: 1
2025-08-26T20:16:20.4189811Z   NUM_TEST_SHARDS: 1
2025-08-26T20:16:20.4189975Z   REENABLED_ISSUES: 
2025-08-26T20:16:20.4190145Z   CONTINUE_THROUGH_ERROR: True
2025-08-26T20:16:20.4190326Z   VERBOSE_TEST_LOGS: False
2025-08-26T20:16:20.4190495Z   TEST_SHOWLOCALS: False
2025-08-26T20:16:20.4190671Z   NO_TEST_TIMEOUT: False
2025-08-26T20:16:20.4190842Z   NO_TD: False
2025-08-26T20:16:20.4190995Z   TD_DISTRIBUTED: False
2025-08-26T20:16:20.4191192Z   SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2
2025-08-26T20:16:20.4191416Z   SCCACHE_REGION: us-east-1
2025-08-26T20:16:20.4191587Z   SHM_SIZE: 1g
2025-08-26T20:16:20.4192055Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:16:20.4192539Z   XLA_CUDA: 
2025-08-26T20:16:20.4192765Z   XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla
2025-08-26T20:16:20.4193042Z   PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0
2025-08-26T20:16:20.4193248Z   PYTORCH_TEST_RERUN_DISABLED_TESTS: 0
2025-08-26T20:16:20.4193434Z   DASHBOARD_TAG: 
2025-08-26T20:16:20.4193722Z   VLLM_TEST_HUGGING_FACE_TOKEN: ***
2025-08-26T20:16:20.4193984Z   HUGGING_FACE_HUB_TOKEN: ***
2025-08-26T20:16:20.4194244Z   SCRIBE_GRAPHQL_ACCESS_TOKEN: ***
2025-08-26T20:16:20.4194577Z   ARTIFACTS_FILE_SUFFIX: test-inductor_torchbench_cpu_smoketest_perf-1-1-linux.24xl.spr-metal_48946862612
2025-08-26T20:16:20.4194903Z ##[endgroup]
2025-08-26T20:16:20.4211402Z + [[ inductor_torchbench_cpu_smoketest_perf == \m\u\l\t\i\g\p\u ]]
2025-08-26T20:16:20.4211725Z + [[ linux-jammy-py3.9-gcc11-build == *onnx* ]]
2025-08-26T20:16:20.4212122Z + TEST_COMMAND=.ci/pytorch/test.sh
2025-08-26T20:16:20.4214870Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo
2025-08-26T20:16:20.4229632Z + TOTAL_AVAILABLE_MEMORY_IN_GB='187.488 '
2025-08-26T20:16:20.4230092Z + TOTAL_MEMORY_WITH_SWAP=190
2025-08-26T20:16:20.4230376Z + [[ linux-jammy-py3.9-gcc11-build == *\s\3\9\0\x* ]]
2025-08-26T20:16:20.4230627Z + SHM_OPTS=--shm-size=1g
2025-08-26T20:16:20.4230822Z + JENKINS_USER='--user jenkins'
2025-08-26T20:16:20.4231014Z + DOCKER_SHELL_CMD=
2025-08-26T20:16:20.4237280Z +++ nproc --ignore=2
2025-08-26T20:16:20.4675610Z ++ 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_17248463670 --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-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:18:55.5548546Z + container_name=90499a7c701efa72093b821bf75e94463c3a8c509b45aa717ecbc8b72d32203d
2025-08-26T20:18:55.5550341Z + grep download.pytorch.org /etc/hosts
2025-08-26T20:18:55.5551673Z + docker exec -i 90499a7c701efa72093b821bf75e94463c3a8c509b45aa717ecbc8b72d32203d sudo bash -c '/bin/cat >> /etc/hosts'
2025-08-26T20:18:55.6887979Z + echo DOCKER_CONTAINER_ID=90499a7c701efa72093b821bf75e94463c3a8c509b45aa717ecbc8b72d32203d
2025-08-26T20:18:55.6888511Z + [[ linux-jammy-py3.9-gcc11-build == *\s\3\9\0\x* ]]
2025-08-26T20:18:55.6891633Z ++ echo dist/torch-2.9.0a0+git262640f-cp39-cp39-linux_x86_64.whl
2025-08-26T20:18:55.6893250Z + docker exec -t 90499a7c701efa72093b821bf75e94463c3a8c509b45aa717ecbc8b72d32203d sh -c 'python3 -m pip install dist/torch-2.9.0a0+git262640f-cp39-cp39-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh'
2025-08-26T20:18:55.9882877Z Processing ./dist/torch-2.9.0a0+git262640f-cp39-cp39-linux_x86_64.whl (from torch==2.9.0a0+git262640f)
2025-08-26T20:18:56.1926591Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git262640f->torch==2.9.0a0+git262640f) (3.19.1)
2025-08-26T20:18:56.1927391Z Requirement already satisfied: typing-extensions>=4.10.0 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git262640f->torch==2.9.0a0+git262640f) (4.15.0)
2025-08-26T20:18:56.1928087Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git262640f->torch==2.9.0a0+git262640f) (1.13.3)
2025-08-26T20:18:56.1928756Z Requirement already satisfied: networkx>=2.5.1 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git262640f->torch==2.9.0a0+git262640f) (2.8.8)
2025-08-26T20:18:56.1929446Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git262640f->torch==2.9.0a0+git262640f) (3.1.6)
2025-08-26T20:18:56.1932538Z Requirement already satisfied: fsspec>=0.8.5 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git262640f->torch==2.9.0a0+git262640f) (2025.3.0)
2025-08-26T20:18:56.1942213Z Requirement already satisfied: opt-einsum>=3.3 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git262640f->torch==2.9.0a0+git262640f) (3.3.0)
2025-08-26T20:18:56.2203256Z Requirement already satisfied: numpy>=1.7 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from opt-einsum>=3.3->torch==2.9.0a0+git262640f->torch==2.9.0a0+git262640f) (1.22.4)
2025-08-26T20:18:56.2218330Z Requirement already satisfied: mpmath<1.4,>=1.1.0 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from sympy>=1.13.3->torch==2.9.0a0+git262640f->torch==2.9.0a0+git262640f) (1.3.0)
2025-08-26T20:18:56.2243788Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from jinja2->torch==2.9.0a0+git262640f->torch==2.9.0a0+git262640f) (3.0.2)
2025-08-26T20:18:56.9148733Z Installing collected packages: torch
2025-08-26T20:19:03.4907551Z 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.
2025-08-26T20:19:03.4908174Z dall-e 0.1 requires torchvision, which is not installed.
2025-08-26T20:19:03.4908472Z effdet 0.4.1 requires torchvision, which is not installed.
2025-08-26T20:19:03.4908806Z pytorch-labs-segment-anything-fast 0.2 requires torchao, which is not installed.
2025-08-26T20:19:03.4909232Z pytorch-labs-segment-anything-fast 0.2 requires torchvision>=0.17.0.dev20231026, which is not installed.
2025-08-26T20:19:03.4909690Z timm 1.0.14 requires torchvision, which is not installed.
2025-08-26T20:19:03.4910009Z Successfully installed torch-2.9.0a0+git262640f
2025-08-26T20:19:03.5754733Z + export TERM=vt100
2025-08-26T20:19:03.5754943Z + TERM=vt100
2025-08-26T20:19:03.5755120Z ++ dirname .ci/pytorch/test.sh
2025-08-26T20:19:03.5755331Z + source .ci/pytorch/common.sh
2025-08-26T20:19:03.5758199Z +++ dirname .ci/pytorch/common.sh
2025-08-26T20:19:03.5763831Z ++ source .ci/pytorch/common_utils.sh
2025-08-26T20:19:03.5764532Z +++ declare -f -t trap_add
2025-08-26T20:19:03.5767437Z ++ set -ex -o pipefail
2025-08-26T20:19:03.5768357Z ++ [[ linux-jammy-py3.9-gcc11-build == *rocm* ]]
2025-08-26T20:19:03.5768677Z ++ BUILD_TEST_LIBTORCH=0
2025-08-26T20:19:03.5770288Z ++ dirname .ci/pytorch/test.sh
2025-08-26T20:19:03.5774098Z + source .ci/pytorch/common-build.sh
2025-08-26T20:19:03.5775095Z ++ [[ linux-jammy-py3.9-gcc11-build != *win-* ]]
2025-08-26T20:19:03.5780304Z ++++ dirname .ci/pytorch/common-build.sh
2025-08-26T20:19:03.5785697Z +++ cd .ci/pytorch
2025-08-26T20:19:03.5785981Z +++ pwd -P
2025-08-26T20:19:03.5787344Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch
2025-08-26T20:19:03.5787634Z ++ [[ linux-jammy-py3.9-gcc11-build == *-pch* ]]
2025-08-26T20:19:03.5787858Z ++ which sccache
2025-08-26T20:19:03.5805712Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]]
2025-08-26T20:19:03.5805952Z ++ sccache --stop-server
2025-08-26T20:19:03.5828582Z ++ true
2025-08-26T20:19:03.5828741Z ++ rm -f /var/lib/jenkins/sccache_error.log
2025-08-26T20:19:03.5836135Z ++ trap_add sccache_epilogue EXIT
2025-08-26T20:19:03.5836348Z ++ trap_add_cmd=sccache_epilogue
2025-08-26T20:19:03.5836547Z ++ shift
2025-08-26T20:19:03.5836702Z ++ for trap_add_name in "$@"
2025-08-26T20:19:03.5843666Z ++++ trap -p EXIT
2025-08-26T20:19:03.5844937Z +++ eval 'extract_trap_cmd '
2025-08-26T20:19:03.5845142Z ++++ extract_trap_cmd
2025-08-26T20:19:03.5845324Z ++++ printf '%s\n' ''
2025-08-26T20:19:03.5845516Z +++ printf '%s\n' sccache_epilogue
2025-08-26T20:19:03.5846545Z ++ trap -- '
2025-08-26T20:19:03.5846718Z sccache_epilogue' EXIT
2025-08-26T20:19:03.5847523Z ++ [[ -n 1 ]]
2025-08-26T20:19:03.5847793Z ++ echo 'Skipping sccache server initialization, setting environment variables'
2025-08-26T20:19:03.5848164Z Skipping sccache server initialization, setting environment variables
2025-08-26T20:19:03.5848444Z ++ export SCCACHE_IDLE_TIMEOUT=0
2025-08-26T20:19:03.5848647Z ++ SCCACHE_IDLE_TIMEOUT=0
2025-08-26T20:19:03.5848878Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-08-26T20:19:03.5849450Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-08-26T20:19:03.5849770Z ++ export RUST_LOG=sccache::server=error
2025-08-26T20:19:03.5849989Z ++ RUST_LOG=sccache::server=error
2025-08-26T20:19:03.5850183Z ++ sccache --zero-stats
2025-08-26T20:19:03.7327721Z Statistics zeroed.
2025-08-26T20:19:03.7332924Z ++ which ccache
2025-08-26T20:19:03.7361895Z + [[ linux-jammy-py3.9-gcc11-build != *rocm* ]]
2025-08-26T20:19:03.7362189Z + [[ linux-jammy-py3.9-gcc11-build != *s390x* ]]
2025-08-26T20:19:03.7362466Z + [[ -d /var/lib/jenkins/workspace ]]
2025-08-26T20:19:03.7364744Z ++ stat -c %u /var/lib/jenkins/workspace
2025-08-26T20:19:03.7373836Z + WORKSPACE_ORIGINAL_OWNER_ID=1000
2025-08-26T20:19:03.7374189Z + trap_add cleanup_workspace EXIT
2025-08-26T20:19:03.7374422Z + trap_add_cmd=cleanup_workspace
2025-08-26T20:19:03.7374638Z + shift
2025-08-26T20:19:03.7374821Z + for trap_add_name in "$@"
2025-08-26T20:19:03.7380019Z +++ trap -p EXIT
2025-08-26T20:19:03.7381930Z ++ eval 'extract_trap_cmd trap -- '\''
2025-08-26T20:19:03.7382185Z sccache_epilogue'\'' EXIT'
2025-08-26T20:19:03.7382418Z +++ extract_trap_cmd trap -- '
2025-08-26T20:19:03.7382625Z sccache_epilogue' EXIT
2025-08-26T20:19:03.7382821Z +++ printf '%s\n' '
2025-08-26T20:19:03.7383009Z sccache_epilogue'
2025-08-26T20:19:03.7383208Z ++ printf '%s\n' cleanup_workspace
2025-08-26T20:19:03.7383761Z + trap -- '
2025-08-26T20:19:03.7383931Z sccache_epilogue
2025-08-26T20:19:03.7384123Z cleanup_workspace' EXIT
2025-08-26T20:19:03.7384355Z + sudo chown -R jenkins /var/lib/jenkins/workspace
2025-08-26T20:19:04.1426729Z + git config --global --add safe.directory /var/lib/jenkins/workspace
2025-08-26T20:19:04.1432831Z + echo 'Environment variables:'
2025-08-26T20:19:04.1433040Z Environment variables:
2025-08-26T20:19:04.1433216Z + env
2025-08-26T20:19:04.1441985Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-08-26T20:19:04.1442323Z CONTINUE_THROUGH_ERROR=True
2025-08-26T20:19:04.1442609Z BUILD_ENVIRONMENT=linux-jammy-py3.9-gcc11-build
2025-08-26T20:19:04.1443100Z VLLM_TEST_HUGGING_FACE_TOKEN=***
2025-08-26T20:19:04.1444413Z HOSTNAME=90499a7c701e
2025-08-26T20:19:04.1444817Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_96a7bd99-120e-4b51-a8ba-ac91be54269e
2025-08-26T20:19:04.1445200Z GITHUB_ACTION=__run_2
2025-08-26T20:19:04.1445435Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0
2025-08-26T20:19:04.1445644Z GITHUB_RUN_NUMBER=149891
2025-08-26T20:19:04.1445854Z TEST_CONFIG=inductor_torchbench_cpu_smoketest_perf
2025-08-26T20:19:04.1446095Z GITHUB_REPOSITORY_OWNER_ID=21003710
2025-08-26T20:19:04.1446316Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all
2025-08-26T20:19:04.1446522Z SCCACHE_IDLE_TIMEOUT=0
2025-08-26T20:19:04.1446786Z SCRIBE_GRAPHQL_ACCESS_TOKEN=***
2025-08-26T20:19:04.1446995Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot
2025-08-26T20:19:04.1447202Z GITHUB_REF_TYPE=branch
2025-08-26T20:19:04.1447407Z BASE_SHA=262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T20:19:04.1447630Z XLA_CUDA=
2025-08-26T20:19:04.1447789Z NCCL_LIB_DIR=/usr/local/cuda/lib64/
2025-08-26T20:19:04.1448063Z HUGGING_FACE_HUB_TOKEN=***
2025-08-26T20:19:04.1452443Z ***
2025-08-26T20:19:04.1452619Z GITHUB_REPOSITORY_ID=65600975
2025-08-26T20:19:04.1452821Z GITHUB_ACTIONS=true
2025-08-26T20:19:04.1453026Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-08-26T20:19:04.1453284Z SHA1=262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T20:19:04.1453524Z GITHUB_SHA=262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T20:19:04.1453860Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor.yml@refs/heads/main
2025-08-26T20:19:04.1454158Z UCC_HOME=/usr
2025-08-26T20:19:04.1454326Z VERBOSE_TEST_LOGS=False
2025-08-26T20:19:04.1454510Z GITHUB_REF=refs/heads/main
2025-08-26T20:19:04.1454696Z SHARD_NUMBER=1
2025-08-26T20:19:04.1454858Z GITHUB_REF_PROTECTED=true
2025-08-26T20:19:04.1455040Z HOME=/var/lib/jenkins
2025-08-26T20:19:04.1455242Z GITHUB_API_URL=https://api.github.com
2025-08-26T20:19:04.1455466Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0
2025-08-26T20:19:04.1455784Z UCX_COMMIT=
2025-08-26T20:19:04.1455951Z USE_SYSTEM_NCCL=1
2025-08-26T20:19:04.1456132Z NUM_TEST_SHARDS=1
2025-08-26T20:19:04.1456295Z UCX_HOME=/usr
2025-08-26T20:19:04.1456666Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_96a7bd99-120e-4b51-a8ba-ac91be54269e
2025-08-26T20:19:04.1457261Z JOB_NAME=linux-jammy-cpu-py3.9-gcc11-inductor / test (inductor_torchbench_cpu_smoketest_perf, 1, 1, linux.24xl.spr-metal)
2025-08-26T20:19:04.1457831Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_96a7bd99-120e-4b51-a8ba-ac91be54269e
2025-08-26T20:19:04.1458317Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json
2025-08-26T20:19:04.1458629Z GITHUB_EVENT_NAME=push
2025-08-26T20:19:04.1458817Z DASHBOARD_TAG=
2025-08-26T20:19:04.1458996Z GITHUB_RUN_ID=17248463670
2025-08-26T20:19:04.1459185Z INSTALLED_OPENBLAS=
2025-08-26T20:19:04.1459561Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_96a7bd99-120e-4b51-a8ba-ac91be54269e
2025-08-26T20:19:04.1459985Z GITHUB_ACTOR=pytorchmergebot
2025-08-26T20:19:04.1460177Z PR_NUMBER=
2025-08-26T20:19:04.1460335Z DESIRED_CUDA=
2025-08-26T20:19:04.1460493Z GITHUB_RUN_ATTEMPT=1
2025-08-26T20:19:04.1460683Z ANACONDA_PYTHON_VERSION=3.9
2025-08-26T20:19:04.1460917Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql
2025-08-26T20:19:04.1461144Z TERM=vt100
2025-08-26T20:19:04.1461299Z INSTALLED_VISION=yes
2025-08-26T20:19:04.1461474Z BRANCH=main
2025-08-26T20:19:04.1461644Z SCCACHE_REGION=us-east-1
2025-08-26T20:19:04.1461847Z OPENSSL_ROOT_DIR=/opt/openssl
2025-08-26T20:19:04.1462040Z CUDA_PATH=/usr/local/cuda
2025-08-26T20:19:04.1462374Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux
2025-08-26T20:19:04.1462731Z GITHUB_SERVER_URL=https://github.com
2025-08-26T20:19:04.1462939Z UCC_COMMIT=
2025-08-26T20:19:04.1463089Z REENABLED_ISSUES=
2025-08-26T20:19:04.1463261Z DOCS=yes
2025-08-26T20:19:04.1463417Z SHLVL=1
2025-08-26T20:19:04.1463569Z MAX_JOBS=94
2025-08-26T20:19:04.1463786Z GITHUB_ACTOR_ID=97764156
2025-08-26T20:19:04.1464022Z GITHUB_WORKFLOW_SHA=262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T20:19:04.1464263Z GITHUB_REF_NAME=main
2025-08-26T20:19:04.1464518Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla
2025-08-26T20:19:04.1464783Z GITHUB_JOB=test
2025-08-26T20:19:04.1464949Z NO_TEST_TIMEOUT=False
2025-08-26T20:19:04.1465129Z TD_DISTRIBUTED=False
2025-08-26T20:19:04.1465317Z GITHUB_REPOSITORY=pytorch/pytorch
2025-08-26T20:19:04.1465525Z GITHUB_RETENTION_DAYS=90
2025-08-26T20:19:04.1465720Z OPENSSL_DIR=/opt/openssl
2025-08-26T20:19:04.1465988Z GITHUB_ACTION_REPOSITORY=
2025-08-26T20:19:04.1466488Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.9/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2025-08-26T20:19:04.1466959Z GITHUB_BASE_REF=
2025-08-26T20:19:04.1467128Z INSTALLED_ACL=
2025-08-26T20:19:04.1467454Z ARTIFACTS_FILE_SUFFIX=test-inductor_torchbench_cpu_smoketest_perf-1-1-linux.24xl.spr-metal_48946862612
2025-08-26T20:19:04.1467863Z CI=true
2025-08-26T20:19:04.1468023Z GITHUB_REPOSITORY_OWNER=pytorch
2025-08-26T20:19:04.1468278Z RUST_LOG=sccache::server=error
2025-08-26T20:19:04.1468469Z JOB_ID=48946862612
2025-08-26T20:19:04.1468634Z GITHUB_HEAD_REF=
2025-08-26T20:19:04.1468790Z GITHUB_ACTION_REF=
2025-08-26T20:19:04.1468989Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2
2025-08-26T20:19:04.1469223Z TEST_SHOWLOCALS=False
2025-08-26T20:19:04.1469401Z GITHUB_WORKFLOW=inductor
2025-08-26T20:19:04.1469583Z DEBIAN_FRONTEND=noninteractive
2025-08-26T20:19:04.1469971Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_96a7bd99-120e-4b51-a8ba-ac91be54269e
2025-08-26T20:19:04.1470352Z NO_TD=False
2025-08-26T20:19:04.1470521Z SKIP_SCCACHE_INITIALIZATION=1
2025-08-26T20:19:04.1470732Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/
2025-08-26T20:19:04.1471015Z _=/usr/bin/env
2025-08-26T20:19:04.1471249Z ++ python -c 'import site; print(site.getsitepackages()[0])'
2025-08-26T20:19:04.1732967Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch
2025-08-26T20:19:04.1738015Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/bin
2025-08-26T20:19:04.1739598Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib
2025-08-26T20:19:04.1739980Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/test
2025-08-26T20:19:04.1740250Z + BUILD_DIR=build
2025-08-26T20:19:04.1740433Z + BUILD_RENAMED_DIR=build_renamed
2025-08-26T20:19:04.1740639Z + BUILD_BIN_DIR=build/bin
2025-08-26T20:19:04.1740821Z + SHARD_NUMBER=1
2025-08-26T20:19:04.1740983Z + NUM_TEST_SHARDS=1
2025-08-26T20:19:04.1741173Z + export TORCH_SERIALIZATION_DEBUG=1
2025-08-26T20:19:04.1741391Z + TORCH_SERIALIZATION_DEBUG=1
2025-08-26T20:19:04.1741587Z + export VALGRIND=ON
2025-08-26T20:19:04.1741768Z + VALGRIND=ON
2025-08-26T20:19:04.1741970Z + [[ linux-jammy-py3.9-gcc11-build == *clang9* ]]
2025-08-26T20:19:04.1742238Z + [[ linux-jammy-py3.9-gcc11-build == *xpu* ]]
2025-08-26T20:19:04.1742454Z + detect_cuda_arch
2025-08-26T20:19:04.1742643Z + [[ linux-jammy-py3.9-gcc11-build == *cuda* ]]
2025-08-26T20:19:04.1742890Z + [[ linux-jammy-py3.9-gcc11-build == *s390x* ]]
2025-08-26T20:19:04.1743105Z + [[ 0 == \1 ]]
2025-08-26T20:19:04.1743265Z + [[ True == \1 ]]
2025-08-26T20:19:04.1743449Z + [[ linux-jammy-py3.9-gcc11-build != *bazel* ]]
2025-08-26T20:19:04.1743682Z ++ realpath build/custom_test_artifacts
2025-08-26T20:19:04.1744015Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts
2025-08-26T20:19:04.1744325Z + [[ -n '' ]]
2025-08-26T20:19:04.1744493Z + echo 'Environment variables'
2025-08-26T20:19:04.1744693Z Environment variables
2025-08-26T20:19:04.1744863Z + env
2025-08-26T20:19:04.1797826Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-08-26T20:19:04.1798120Z CONTINUE_THROUGH_ERROR=True
2025-08-26T20:19:04.1798563Z BUILD_ENVIRONMENT=linux-jammy-py3.9-gcc11-build
2025-08-26T20:19:04.1798965Z VLLM_TEST_HUGGING_FACE_TOKEN=***
2025-08-26T20:19:04.1799170Z HOSTNAME=90499a7c701e
2025-08-26T20:19:04.1799575Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_96a7bd99-120e-4b51-a8ba-ac91be54269e
2025-08-26T20:19:04.1799952Z GITHUB_ACTION=__run_2
2025-08-26T20:19:04.1800144Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0
2025-08-26T20:19:04.1800359Z GITHUB_RUN_NUMBER=149891
2025-08-26T20:19:04.1800582Z TEST_CONFIG=inductor_torchbench_cpu_smoketest_perf
2025-08-26T20:19:04.1800843Z GITHUB_REPOSITORY_OWNER_ID=21003710
2025-08-26T20:19:04.1801060Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all
2025-08-26T20:19:04.1801286Z SCCACHE_IDLE_TIMEOUT=0
2025-08-26T20:19:04.1801548Z SCRIBE_GRAPHQL_ACCESS_TOKEN=***
2025-08-26T20:19:04.1801757Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot
2025-08-26T20:19:04.1801959Z GITHUB_REF_TYPE=branch
2025-08-26T20:19:04.1802164Z BASE_SHA=262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T20:19:04.1802376Z XLA_CUDA=
2025-08-26T20:19:04.1802544Z NCCL_LIB_DIR=/usr/local/cuda/lib64/
2025-08-26T20:19:04.1802855Z HUGGING_FACE_HUB_TOKEN=***
2025-08-26T20:19:04.1803067Z ***
2025-08-26T20:19:04.1803229Z GITHUB_REPOSITORY_ID=65600975
2025-08-26T20:19:04.1803424Z GITHUB_ACTIONS=true
2025-08-26T20:19:04.1803627Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-08-26T20:19:04.1803865Z SHA1=262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T20:19:04.1804103Z GITHUB_SHA=262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T20:19:04.1804423Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor.yml@refs/heads/main
2025-08-26T20:19:04.1804714Z UCC_HOME=/usr
2025-08-26T20:19:04.1804870Z TORCH_SERIALIZATION_DEBUG=1
2025-08-26T20:19:04.1805055Z VERBOSE_TEST_LOGS=False
2025-08-26T20:19:04.1805233Z GITHUB_REF=refs/heads/main
2025-08-26T20:19:04.1805404Z SHARD_NUMBER=1
2025-08-26T20:19:04.1805559Z GITHUB_REF_PROTECTED=true
2025-08-26T20:19:04.1806558Z HOME=/var/lib/jenkins
2025-08-26T20:19:04.1806756Z GITHUB_API_URL=https://api.github.com
2025-08-26T20:19:04.1806978Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0
2025-08-26T20:19:04.1807168Z UCX_COMMIT=
2025-08-26T20:19:04.1807325Z USE_SYSTEM_NCCL=1
2025-08-26T20:19:04.1807492Z NUM_TEST_SHARDS=1
2025-08-26T20:19:04.1807661Z UCX_HOME=/usr
2025-08-26T20:19:04.1808039Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_96a7bd99-120e-4b51-a8ba-ac91be54269e
2025-08-26T20:19:04.1808702Z JOB_NAME=linux-jammy-cpu-py3.9-gcc11-inductor / test (inductor_torchbench_cpu_smoketest_perf, 1, 1, linux.24xl.spr-metal)
2025-08-26T20:19:04.1809313Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_96a7bd99-120e-4b51-a8ba-ac91be54269e
2025-08-26T20:19:04.1809832Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json
2025-08-26T20:19:04.1810146Z GITHUB_EVENT_NAME=push
2025-08-26T20:19:04.1810321Z DASHBOARD_TAG=
2025-08-26T20:19:04.1810490Z GITHUB_RUN_ID=17248463670
2025-08-26T20:19:04.1810680Z INSTALLED_OPENBLAS=
2025-08-26T20:19:04.1811071Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_96a7bd99-120e-4b51-a8ba-ac91be54269e
2025-08-26T20:19:04.1811469Z GITHUB_ACTOR=pytorchmergebot
2025-08-26T20:19:04.1811661Z PR_NUMBER=
2025-08-26T20:19:04.1811855Z DESIRED_CUDA=
2025-08-26T20:19:04.1812012Z GITHUB_RUN_ATTEMPT=1
2025-08-26T20:19:04.1812180Z VALGRIND=ON
2025-08-26T20:19:04.1812340Z ANACONDA_PYTHON_VERSION=3.9
2025-08-26T20:19:04.1812566Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql
2025-08-26T20:19:04.1812792Z TERM=vt100
2025-08-26T20:19:04.1812947Z INSTALLED_VISION=yes
2025-08-26T20:19:04.1813110Z BRANCH=main
2025-08-26T20:19:04.1813274Z SCCACHE_REGION=us-east-1
2025-08-26T20:19:04.1813465Z OPENSSL_ROOT_DIR=/opt/openssl
2025-08-26T20:19:04.1813659Z CUDA_PATH=/usr/local/cuda
2025-08-26T20:19:04.1813979Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux
2025-08-26T20:19:04.1814356Z GITHUB_SERVER_URL=https://github.com
2025-08-26T20:19:04.1814607Z UCC_COMMIT=
2025-08-26T20:19:04.1814763Z REENABLED_ISSUES=
2025-08-26T20:19:04.1814919Z DOCS=yes
2025-08-26T20:19:04.1815069Z SHLVL=1
2025-08-26T20:19:04.1815225Z MAX_JOBS=94
2025-08-26T20:19:04.1815368Z GITHUB_ACTOR_ID=97764156
2025-08-26T20:19:04.1815591Z GITHUB_WORKFLOW_SHA=262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T20:19:04.1815825Z GITHUB_REF_NAME=main
2025-08-26T20:19:04.1816070Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla
2025-08-26T20:19:04.1816337Z GITHUB_JOB=test
2025-08-26T20:19:04.1816489Z NO_TEST_TIMEOUT=False
2025-08-26T20:19:04.1816661Z TD_DISTRIBUTED=False
2025-08-26T20:19:04.1816841Z GITHUB_REPOSITORY=pytorch/pytorch
2025-08-26T20:19:04.1817034Z GITHUB_RETENTION_DAYS=90
2025-08-26T20:19:04.1817211Z OPENSSL_DIR=/opt/openssl
2025-08-26T20:19:04.1817395Z GITHUB_ACTION_REPOSITORY=
2025-08-26T20:19:04.1817856Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.9/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2025-08-26T20:19:04.1818310Z GITHUB_BASE_REF=
2025-08-26T20:19:04.1818464Z INSTALLED_ACL=
2025-08-26T20:19:04.1818772Z ARTIFACTS_FILE_SUFFIX=test-inductor_torchbench_cpu_smoketest_perf-1-1-linux.24xl.spr-metal_48946862612
2025-08-26T20:19:04.1819106Z CI=true
2025-08-26T20:19:04.1819261Z GITHUB_REPOSITORY_OWNER=pytorch
2025-08-26T20:19:04.1819473Z RUST_LOG=sccache::server=error
2025-08-26T20:19:04.1819659Z JOB_ID=48946862612
2025-08-26T20:19:04.1819821Z GITHUB_HEAD_REF=
2025-08-26T20:19:04.1819983Z GITHUB_ACTION_REF=
2025-08-26T20:19:04.1820176Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2
2025-08-26T20:19:04.1820405Z TEST_SHOWLOCALS=False
2025-08-26T20:19:04.1820580Z GITHUB_WORKFLOW=inductor
2025-08-26T20:19:04.1820762Z DEBIAN_FRONTEND=noninteractive
2025-08-26T20:19:04.1821128Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_96a7bd99-120e-4b51-a8ba-ac91be54269e
2025-08-26T20:19:04.1821543Z NO_TD=False
2025-08-26T20:19:04.1821714Z SKIP_SCCACHE_INITIALIZATION=1
2025-08-26T20:19:04.1821917Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/
2025-08-26T20:19:04.1822111Z _=/usr/bin/env
2025-08-26T20:19:04.1822273Z + echo 'Testing pytorch'
2025-08-26T20:19:04.1822449Z Testing pytorch
2025-08-26T20:19:04.1822622Z + export LANG=C.UTF-8
2025-08-26T20:19:04.1822781Z + LANG=C.UTF-8
2025-08-26T20:19:04.1822939Z + PR_NUMBER=
2025-08-26T20:19:04.1823156Z + [[ inductor_torchbench_cpu_smoketest_perf == \d\e\f\a\u\l\t ]]
2025-08-26T20:19:04.1823465Z + [[ inductor_torchbench_cpu_smoketest_perf == \d\i\s\t\r\i\b\u\t\e\d ]]
2025-08-26T20:19:04.1823760Z + [[ inductor_torchbench_cpu_smoketest_perf == \s\l\o\w ]]
2025-08-26T20:19:04.1824038Z + [[ linux-jammy-py3.9-gcc11-build == *slow-gradcheck* ]]
2025-08-26T20:19:04.1824298Z + [[ linux-jammy-py3.9-gcc11-build == *cuda* ]]
2025-08-26T20:19:04.1824531Z + [[ linux-jammy-py3.9-gcc11-build == *rocm* ]]
2025-08-26T20:19:04.1824760Z + [[ linux-jammy-py3.9-gcc11-build == *xpu* ]]
2025-08-26T20:19:04.1825016Z + [[ inductor_torchbench_cpu_smoketest_perf == *crossref* ]]
2025-08-26T20:19:04.1825269Z + [[ linux-jammy-py3.9-gcc11-build == *rocm* ]]
2025-08-26T20:19:04.1825498Z + [[ linux-jammy-py3.9-gcc11-build == *xpu* ]]
2025-08-26T20:19:04.1825727Z + [[ linux-jammy-py3.9-gcc11-build != *-bazel-* ]]
2025-08-26T20:19:04.1825953Z + pip_install ninja==1.10.2
2025-08-26T20:19:04.1826198Z + pip_install_pkg='python3 -m pip install --progress-bar off'
2025-08-26T20:19:04.1826491Z + python3 -m pip install --progress-bar off ninja==1.10.2
2025-08-26T20:19:04.5069074Z Collecting ninja==1.10.2
2025-08-26T20:19:04.5144324Z   Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB)
2025-08-26T20:19:04.5221488Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB)
2025-08-26T20:19:05.1928439Z Installing collected packages: ninja
2025-08-26T20:19:05.1928833Z   Attempting uninstall: ninja
2025-08-26T20:19:05.1929907Z     Found existing installation: ninja 1.11.1.3
2025-08-26T20:19:05.1943973Z     Uninstalling ninja-1.11.1.3:
2025-08-26T20:19:05.1985268Z       Successfully uninstalled ninja-1.11.1.3
2025-08-26T20:19:05.2367269Z Successfully installed ninja-1.10.2
2025-08-26T20:19:05.3144780Z + export PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.9/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2025-08-26T20:19:05.3145628Z + PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.9/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2025-08-26T20:19:05.3146178Z + [[ linux-jammy-py3.9-gcc11-build == *aarch64* ]]
2025-08-26T20:19:05.3146437Z + [[ linux-jammy-py3.9-gcc11-build == *asan* ]]
2025-08-26T20:19:05.3146680Z + [[ linux-jammy-py3.9-gcc11-build == *-debug* ]]
2025-08-26T20:19:05.3146938Z + [[ linux-jammy-py3.9-gcc11-build != *-bazel-* ]]
2025-08-26T20:19:05.3147261Z + echo 'We are not in debug mode: linux-jammy-py3.9-gcc11-build. Expect the assertion to pass'
2025-08-26T20:19:05.3147668Z We are not in debug mode: linux-jammy-py3.9-gcc11-build. Expect the assertion to pass
2025-08-26T20:19:05.3147945Z + cd test
2025-08-26T20:19:05.3148172Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)'
2025-08-26T20:19:06.3470786Z + [[ inductor_torchbench_cpu_smoketest_perf == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]]
2025-08-26T20:19:06.3471236Z + [[ inductor_torchbench_cpu_smoketest_perf == \n\o\g\p\u\_\A\V\X\5\1\2 ]]
2025-08-26T20:19:06.3471651Z + [[ inductor_torchbench_cpu_smoketest_perf == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]]
2025-08-26T20:19:06.3471976Z + DYNAMO_BENCHMARK_FLAGS=()
2025-08-26T20:19:06.3472261Z + [[ inductor_torchbench_cpu_smoketest_perf == *pr_time_benchmarks* ]]
2025-08-26T20:19:06.3472617Z + [[ inductor_torchbench_cpu_smoketest_perf == *dynamo_eager* ]]
2025-08-26T20:19:06.3473245Z + [[ inductor_torchbench_cpu_smoketest_perf == *aot_eager* ]]
2025-08-26T20:19:06.3473573Z + [[ inductor_torchbench_cpu_smoketest_perf == *aot_inductor* ]]
2025-08-26T20:19:06.3473918Z + [[ inductor_torchbench_cpu_smoketest_perf == *max_autotune_inductor* ]]
2025-08-26T20:19:06.3474269Z + [[ inductor_torchbench_cpu_smoketest_perf == *inductor* ]]
2025-08-26T20:19:06.3474557Z + [[ inductor_torchbench_cpu_smoketest_perf != *perf* ]]
2025-08-26T20:19:06.3474847Z + [[ inductor_torchbench_cpu_smoketest_perf == *dynamic* ]]
2025-08-26T20:19:06.3475148Z + [[ inductor_torchbench_cpu_smoketest_perf == *cpu* ]]
2025-08-26T20:19:06.3475431Z + DYNAMO_BENCHMARK_FLAGS+=(--device cpu)
2025-08-26T20:19:06.3495027Z + [[ linux-jammy-py3.9-gcc11-build == *libtorch* ]]
2025-08-26T20:19:06.3495311Z + [[ linux-jammy-py3.9-gcc11-build == *-bazel-* ]]
2025-08-26T20:19:06.3497575Z + cd test
2025-08-26T20:19:06.3498286Z + python -c 'import torch; print(torch.__config__.show())'
2025-08-26T20:19:07.2073420Z PyTorch built with:
2025-08-26T20:19:07.2073672Z   - GCC 11.4
2025-08-26T20:19:07.2073878Z   - C++ Version: 201703
2025-08-26T20:19:07.2074237Z   - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications
2025-08-26T20:19:07.2074657Z   - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d)
2025-08-26T20:19:07.2074924Z   - OpenMP 201511 (a.k.a. OpenMP 4.5)
2025-08-26T20:19:07.2075144Z   - LAPACK is enabled (usually provided by MKL)
2025-08-26T20:19:07.2075347Z   - NNPACK is enabled
2025-08-26T20:19:07.2075527Z   - CPU capability usage: AVX512
2025-08-26T20:19:07.2078244Z   - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, COMMIT_SHA=262640fd220236042fbf4443cc163c8838c84c3d, CXX_COMPILER=/opt/cache/bin/c++, CXX_FLAGS= -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOCUPTI -DLIBKINETO_NOROCTRACER -DLIBKINETO_NOXPUPTI=ON -DUSE_FBGEMM -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -DC10_NODEPRECATED -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=range-loop-construct -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-unknown-pragmas -Wno-unused-parameter -Wno-strict-overflow -Wno-strict-aliasing -Wno-stringop-overflow -Wsuggest-override -Wno-psabi -Wno-error=old-style-cast -faligned-new -Werror -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, TORCH_VERSION=2.9.0, USE_CUDA=OFF, USE_CUDNN=OFF, USE_CUSPARSELT=OFF, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_GLOO=ON, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=OFF, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, USE_ROCM_KERNEL_ASSERT=OFF, USE_XCCL=OFF, USE_XPU=OFF, 
2025-08-26T20:19:07.2080799Z 
2025-08-26T20:19:07.3712930Z + cd test
2025-08-26T20:19:07.3713255Z + python -c 'import torch; print(torch.__config__.parallel_info())'
2025-08-26T20:19:08.2295118Z ATen/Parallel:
2025-08-26T20:19:08.2295438Z 	at::get_num_threads() : 48
2025-08-26T20:19:08.2295649Z 	at::get_num_interop_threads() : 48
2025-08-26T20:19:08.2295872Z OpenMP 201511 (a.k.a. OpenMP 4.5)
2025-08-26T20:19:08.2296072Z 	omp_get_max_threads() : 48
2025-08-26T20:19:08.2296418Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications
2025-08-26T20:19:08.2296751Z 	mkl_get_max_threads() : 48
2025-08-26T20:19:08.2297000Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d)
2025-08-26T20:19:08.2297283Z std::thread::hardware_concurrency() : 96
2025-08-26T20:19:08.2297487Z Environment variables:
2025-08-26T20:19:08.2297657Z 	OMP_NUM_THREADS : [not set]
2025-08-26T20:19:08.2297837Z 	MKL_NUM_THREADS : [not set]
2025-08-26T20:19:08.2298019Z ATen parallel backend: OpenMP
2025-08-26T20:19:08.2298133Z 
2025-08-26T20:19:08.3908445Z + [[ inductor_torchbench_cpu_smoketest_perf == *numpy_2* ]]
2025-08-26T20:19:08.3908824Z + [[ linux-jammy-py3.9-gcc11-build == *aarch64* ]]
2025-08-26T20:19:08.3909421Z + [[ inductor_torchbench_cpu_smoketest_perf == *backward* ]]
2025-08-26T20:19:08.3909763Z + [[ inductor_torchbench_cpu_smoketest_perf == *xla* ]]
2025-08-26T20:19:08.3910072Z + [[ inductor_torchbench_cpu_smoketest_perf == *vllm* ]]
2025-08-26T20:19:08.3910396Z + [[ inductor_torchbench_cpu_smoketest_perf == *executorch* ]]
2025-08-26T20:19:08.3910746Z + [[ inductor_torchbench_cpu_smoketest_perf == \j\i\t\_\l\e\g\a\c\y ]]
2025-08-26T20:19:08.3911086Z + [[ linux-jammy-py3.9-gcc11-build == *libtorch* ]]
2025-08-26T20:19:08.3911406Z + [[ inductor_torchbench_cpu_smoketest_perf == distributed ]]
2025-08-26T20:19:08.3911761Z + [[ inductor_torchbench_cpu_smoketest_perf == *operator_benchmark* ]]
2025-08-26T20:19:08.3912139Z + [[ inductor_torchbench_cpu_smoketest_perf == *inductor_distributed* ]]
2025-08-26T20:19:08.3912508Z + [[ inductor_torchbench_cpu_smoketest_perf == *inductor-halide* ]]
2025-08-26T20:19:08.3912891Z + [[ inductor_torchbench_cpu_smoketest_perf == *inductor-triton-cpu* ]]
2025-08-26T20:19:08.3913291Z + [[ inductor_torchbench_cpu_smoketest_perf == *inductor-micro-benchmark* ]]
2025-08-26T20:19:08.3913680Z + [[ inductor_torchbench_cpu_smoketest_perf == *huggingface* ]]
2025-08-26T20:19:08.3914000Z + [[ inductor_torchbench_cpu_smoketest_perf == *timm* ]]
2025-08-26T20:19:08.3914314Z + [[ inductor_torchbench_cpu_smoketest_perf == cachebench ]]
2025-08-26T20:19:08.3914654Z + [[ inductor_torchbench_cpu_smoketest_perf == verify_cachebench ]]
2025-08-26T20:19:08.3914998Z + [[ inductor_torchbench_cpu_smoketest_perf == *torchbench* ]]
2025-08-26T20:19:08.3915280Z + install_torchaudio
2025-08-26T20:19:08.3915470Z + local commit
2025-08-26T20:19:08.3915673Z ++ get_pinned_commit audio
2025-08-26T20:19:08.3915896Z ++ cat .github/ci_commit_pins/audio.txt
2025-08-26T20:19:08.4416023Z + commit=10a5002c6195bd95e34df8fe28ff8a2d55a2a922
2025-08-26T20:19:08.4416477Z + pip_build_and_install git+https://github.com/pytorch/audio.git@10a5002c6195bd95e34df8fe28ff8a2d55a2a922 dist/audio
2025-08-26T20:19:08.4417213Z + local build_target=git+https://github.com/pytorch/audio.git@10a5002c6195bd95e34df8fe28ff8a2d55a2a922
2025-08-26T20:19:08.4417551Z + local wheel_dir=dist/audio
2025-08-26T20:19:08.4417746Z + local found_whl=0
2025-08-26T20:19:08.4417927Z + for file in "${wheel_dir}"/*.whl
2025-08-26T20:19:08.4418210Z + [[ -f dist/audio/torchaudio-2.8.0a0+10a5002-cp39-cp39-linux_x86_64.whl ]]
2025-08-26T20:19:08.4418485Z + found_whl=1
2025-08-26T20:19:08.4418639Z + break
2025-08-26T20:19:08.4418792Z + '[' 1 == 0 ']'
2025-08-26T20:19:08.4418949Z + for file in "${wheel_dir}"/*.whl
2025-08-26T20:19:08.4419232Z + pip_install_whl dist/audio/torchaudio-2.8.0a0+10a5002-cp39-cp39-linux_x86_64.whl
2025-08-26T20:19:08.4419596Z + args=('dist/audio/torchaudio-2.8.0a0+10a5002-cp39-cp39-linux_x86_64.whl')
2025-08-26T20:19:08.4419855Z + local args
2025-08-26T20:19:08.4420086Z + [[ dist/audio/torchaudio-2.8.0a0+10a5002-cp39-cp39-linux_x86_64.whl == *\ * ]]
2025-08-26T20:19:08.4420366Z + for path in "${args[@]}"
2025-08-26T20:19:08.4420647Z + echo 'Installing dist/audio/torchaudio-2.8.0a0+10a5002-cp39-cp39-linux_x86_64.whl'
2025-08-26T20:19:08.4421011Z Installing dist/audio/torchaudio-2.8.0a0+10a5002-cp39-cp39-linux_x86_64.whl
2025-08-26T20:19:08.4421426Z + python3 -mpip install --no-index --no-deps dist/audio/torchaudio-2.8.0a0+10a5002-cp39-cp39-linux_x86_64.whl
2025-08-26T20:19:08.6963063Z Processing ./dist/audio/torchaudio-2.8.0a0+10a5002-cp39-cp39-linux_x86_64.whl
2025-08-26T20:19:08.7000846Z Installing collected packages: torchaudio
2025-08-26T20:19:09.3431678Z Successfully installed torchaudio-2.8.0a0+10a5002
2025-08-26T20:19:09.3750304Z + install_torchvision
2025-08-26T20:19:09.3750661Z + local orig_preload
2025-08-26T20:19:09.3750895Z + local commit
2025-08-26T20:19:09.3751098Z ++ get_pinned_commit vision
2025-08-26T20:19:09.3751339Z ++ cat .github/ci_commit_pins/vision.txt
2025-08-26T20:19:09.3757157Z + commit=966da7e46f65d6d49df3e31214470a4fe5cc8e66
2025-08-26T20:19:09.3757382Z + orig_preload=
2025-08-26T20:19:09.3757770Z + '[' -n '' ']'
2025-08-26T20:19:09.3757971Z + [[ linux-jammy-py3.9-gcc11-build == *cuda* ]]
2025-08-26T20:19:09.3758412Z + pip_build_and_install git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 dist/vision
2025-08-26T20:19:09.3758928Z + local build_target=git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66
2025-08-26T20:19:09.3759252Z + local wheel_dir=dist/vision
2025-08-26T20:19:09.3759440Z + local found_whl=0
2025-08-26T20:19:09.3759615Z + for file in "${wheel_dir}"/*.whl
2025-08-26T20:19:09.3759914Z + [[ -f dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl ]]
2025-08-26T20:19:09.3760211Z + found_whl=1
2025-08-26T20:19:09.3760356Z + break
2025-08-26T20:19:09.3760500Z + '[' 1 == 0 ']'
2025-08-26T20:19:09.3760666Z + for file in "${wheel_dir}"/*.whl
2025-08-26T20:19:09.3760954Z + pip_install_whl dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl
2025-08-26T20:19:09.3761345Z + args=('dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl')
2025-08-26T20:19:09.3761620Z + local args
2025-08-26T20:19:09.3761875Z + [[ dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl == *\ * ]]
2025-08-26T20:19:09.3762170Z + for path in "${args[@]}"
2025-08-26T20:19:09.3762451Z + echo 'Installing dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl'
2025-08-26T20:19:09.3762838Z Installing dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl
2025-08-26T20:19:09.3763284Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl
2025-08-26T20:19:09.6219484Z Processing ./dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl
2025-08-26T20:19:09.6276597Z Installing collected packages: torchvision
2025-08-26T20:19:10.1238566Z Successfully installed torchvision-0.22.0a0+966da7e
2025-08-26T20:19:10.1557955Z + '[' -n '' ']'
2025-08-26T20:19:10.1558141Z + id=0
2025-08-26T20:19:10.1558321Z + pip_install opencv-python==4.8.0.74
2025-08-26T20:19:10.1558619Z + pip_install_pkg='python3 -m pip install --progress-bar off'
2025-08-26T20:19:10.1559140Z + python3 -m pip install --progress-bar off opencv-python==4.8.0.74
2025-08-26T20:19:10.4615107Z Collecting opencv-python==4.8.0.74
2025-08-26T20:19:10.4703836Z   Downloading opencv_python-4.8.0.74-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (19 kB)
2025-08-26T20:19:10.4780068Z Requirement already satisfied: numpy>=1.17.0 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from opencv-python==4.8.0.74) (1.22.4)
2025-08-26T20:19:10.4844011Z Downloading opencv_python-4.8.0.74-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (61.7 MB)
2025-08-26T20:19:11.6135920Z Installing collected packages: opencv-python
2025-08-26T20:19:11.6136218Z   Attempting uninstall: opencv-python
2025-08-26T20:19:11.6136589Z     Found existing installation: opencv-python 4.11.0.86
2025-08-26T20:19:11.6187942Z     Uninstalling opencv-python-4.11.0.86:
2025-08-26T20:19:11.6934089Z       Successfully uninstalled opencv-python-4.11.0.86
2025-08-26T20:19:12.4474934Z Successfully installed opencv-python-4.8.0.74
2025-08-26T20:19:12.5320269Z + [[ inductor_torchbench_cpu_smoketest_perf == *inductor_torchbench_smoketest_perf* ]]
2025-08-26T20:19:12.5320701Z + [[ inductor_torchbench_cpu_smoketest_perf == *inductor_torchbench_cpu_smoketest_perf* ]]
2025-08-26T20:19:12.5321007Z + PYTHONPATH=/torchbench
2025-08-26T20:19:12.5321225Z + test_inductor_torchbench_cpu_smoketest_perf
2025-08-26T20:19:12.5321428Z ++ pwd
2025-08-26T20:19:12.5321645Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports
2025-08-26T20:19:12.5321930Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports
2025-08-26T20:19:12.5334010Z + test_inductor_set_cpu_affinity
2025-08-26T20:19:12.5337611Z ++ find /usr/lib -name libjemalloc.so.2
2025-08-26T20:19:12.5522432Z + JEMALLOC_LIB=/usr/lib/x86_64-linux-gnu/libjemalloc.so.2
2025-08-26T20:19:12.5522868Z + export LD_PRELOAD=/usr/lib/x86_64-linux-gnu/libjemalloc.so.2:
2025-08-26T20:19:12.5523851Z + LD_PRELOAD=/usr/lib/x86_64-linux-gnu/libjemalloc.so.2:
2025-08-26T20:19:12.5524347Z + export MALLOC_CONF=oversize_threshold:1,background_thread:true,metadata_thp:auto,dirty_decay_ms:-1,muzzy_decay_ms:-1
2025-08-26T20:19:12.5524855Z + MALLOC_CONF=oversize_threshold:1,background_thread:true,metadata_thp:auto,dirty_decay_ms:-1,muzzy_decay_ms:-1
2025-08-26T20:19:12.5525243Z + [[ inductor_torchbench_cpu_smoketest_perf != *aarch64* ]]
2025-08-26T20:19:12.5525486Z +++ which python
2025-08-26T20:19:12.5539532Z ++ dirname /opt/conda/envs/py_3.9/bin/python
2025-08-26T20:19:12.5567582Z + IOMP_LIB=/opt/conda/envs/py_3.9/bin/../lib/libiomp5.so
2025-08-26T20:19:12.5567985Z + export LD_PRELOAD=/opt/conda/envs/py_3.9/bin/../lib/libiomp5.so:/usr/lib/x86_64-linux-gnu/libjemalloc.so.2:
2025-08-26T20:19:12.5568436Z + LD_PRELOAD=/opt/conda/envs/py_3.9/bin/../lib/libiomp5.so:/usr/lib/x86_64-linux-gnu/libjemalloc.so.2:
2025-08-26T20:19:12.5568780Z + export KMP_AFFINITY=granularity=fine,compact,1,0
2025-08-26T20:19:12.5569030Z + KMP_AFFINITY=granularity=fine,compact,1,0
2025-08-26T20:19:12.5569268Z + export KMP_BLOCKTIME=1
2025-08-26T20:19:12.5569448Z + KMP_BLOCKTIME=1
2025-08-26T20:19:12.5570642Z ++ nproc
2025-08-26T20:19:12.5589394Z + cpus=96
2025-08-26T20:19:12.5594622Z ++ lscpu
2025-08-26T20:19:12.5595458Z ++ awk '{print $4}'
2025-08-26T20:19:12.5595638Z ++ grep 'Thread(s) per core:'
2025-08-26T20:19:12.5843085Z + thread_per_core=2
2025-08-26T20:19:12.5843301Z + cores=48
2025-08-26T20:19:12.5843528Z + [[ inductor_torchbench_cpu_smoketest_perf == *aarch64* ]]
2025-08-26T20:19:12.5843818Z + export OMP_NUM_THREADS=48
2025-08-26T20:19:12.5844011Z + OMP_NUM_THREADS=48
2025-08-26T20:19:12.5845121Z ++ python -c 'import os; print(min(os.sched_getaffinity(0)))'
2025-08-26T20:19:12.6067387Z + start_cpu=0
2025-08-26T20:19:12.6070333Z ++ python -c 'import os; print(max(os.sched_getaffinity(0)))'
2025-08-26T20:19:12.6280792Z + end_cpu=93
2025-08-26T20:19:12.6281001Z + export 'TASKSET=taskset -c 0-93'
2025-08-26T20:19:12.6281241Z + TASKSET='taskset -c 0-93'
2025-08-26T20:19:12.6281780Z + MODELS_SPEEDUP_TARGET=benchmarks/dynamo/expected_ci_speedup_inductor_torchbench_cpu.csv
2025-08-26T20:19:12.6282106Z + IFS=,
2025-08-26T20:19:12.6282255Z + read -r -a model_cfg
2025-08-26T20:19:12.6282430Z + grep -v '^ *#'
2025-08-26T20:19:12.6306033Z + local model_name=phlippe_densenet
2025-08-26T20:19:12.6306239Z + local data_type=float32
2025-08-26T20:19:12.6306417Z + local speedup_target=1.46474287
2025-08-26T20:19:12.6306609Z + local backend=inductor
2025-08-26T20:19:12.6306797Z + [[ default == \c\p\p ]]
2025-08-26T20:19:12.6306982Z + unset TORCHINDUCTOR_CPP_WRAPPER
2025-08-26T20:19:12.6307405Z + local output_name=/var/lib/jenkins/workspace/test/test-reports/inductor_inference_phlippe_densenet_inductor_float32_static_cpu_smoketest.csv
2025-08-26T20:19:12.6307828Z + [[ static == \d\y\n\a\m\i\c ]]
2025-08-26T20:19:12.6308582Z + 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
2025-08-26T20:19:14.7108463Z 
2025-08-26T20:19:14.9234939Z loading model: 0it [00:00, ?it/s]
2025-08-26T20:19:14.9235258Z loading model: 0it [00:00, ?it/s]
2025-08-26T20:19:14.9242940Z cpu  eval  phlippe_densenet                   
2025-08-26T20:19:21.6363192Z cudagraph partition due to non gpu ops
2025-08-26T20:19:21.6363519Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6363907Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6364243Z     return mod(*inputs)
2025-08-26T20:19:21.6364576Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 165, in forward
2025-08-26T20:19:21.6364898Z     x = self.input_net(x)
2025-08-26T20:19:21.6365012Z 
2025-08-26T20:19:21.6365124Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6365896Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6366206Z     return mod(*inputs)
2025-08-26T20:19:21.6366503Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 165, in forward
2025-08-26T20:19:21.6366805Z     x = self.input_net(x)
2025-08-26T20:19:21.6366909Z 
2025-08-26T20:19:21.6367019Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6367350Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6367661Z     return mod(*inputs)
2025-08-26T20:19:21.6367943Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6368241Z     x = self.blocks(x)
2025-08-26T20:19:21.6368508Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6368810Z     out = self.block(x)
2025-08-26T20:19:21.6369091Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6369389Z     out = self.net(x)
2025-08-26T20:19:21.6369484Z 
2025-08-26T20:19:21.6369592Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6369923Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6370226Z     return mod(*inputs)
2025-08-26T20:19:21.6370501Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6370790Z     x = self.blocks(x)
2025-08-26T20:19:21.6371053Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6371347Z     out = self.block(x)
2025-08-26T20:19:21.6371615Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6371912Z     out = self.net(x)
2025-08-26T20:19:21.6372011Z 
2025-08-26T20:19:21.6372116Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6372551Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6372877Z     return mod(*inputs)
2025-08-26T20:19:21.6373155Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6373449Z     x = self.blocks(x)
2025-08-26T20:19:21.6373716Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6374008Z     out = self.block(x)
2025-08-26T20:19:21.6374276Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6374563Z     out = self.net(x)
2025-08-26T20:19:21.6374657Z 
2025-08-26T20:19:21.6374768Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6375107Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6375417Z     return mod(*inputs)
2025-08-26T20:19:21.6375692Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6375994Z     x = self.blocks(x)
2025-08-26T20:19:21.6376257Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6376552Z     out = self.block(x)
2025-08-26T20:19:21.6376819Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6377108Z     out = self.net(x)
2025-08-26T20:19:21.6377202Z 
2025-08-26T20:19:21.6377283Z cudagraph partition due to non gpu ops
2025-08-26T20:19:21.6377518Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6377856Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6378165Z     return mod(*inputs)
2025-08-26T20:19:21.6378438Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6378790Z     x = self.blocks(x)
2025-08-26T20:19:21.6379067Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6379358Z     out = self.block(x)
2025-08-26T20:19:21.6379625Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-08-26T20:19:21.6379929Z     out = torch.cat([out, x], dim=1)
2025-08-26T20:19:21.6380065Z 
2025-08-26T20:19:21.6380165Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6380502Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6380807Z     return mod(*inputs)
2025-08-26T20:19:21.6381083Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6381367Z     x = self.blocks(x)
2025-08-26T20:19:21.6381633Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6381925Z     out = self.block(x)
2025-08-26T20:19:21.6382193Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6382472Z     out = self.net(x)
2025-08-26T20:19:21.6382573Z 
2025-08-26T20:19:21.6382908Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6383247Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6383550Z     return mod(*inputs)
2025-08-26T20:19:21.6383825Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6384111Z     x = self.blocks(x)
2025-08-26T20:19:21.6384381Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6384674Z     out = self.block(x)
2025-08-26T20:19:21.6384946Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6385229Z     out = self.net(x)
2025-08-26T20:19:21.6385331Z 
2025-08-26T20:19:21.6385469Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6385811Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6386116Z     return mod(*inputs)
2025-08-26T20:19:21.6386377Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6386667Z     x = self.blocks(x)
2025-08-26T20:19:21.6386932Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6387220Z     out = self.block(x)
2025-08-26T20:19:21.6387487Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6387766Z     out = self.net(x)
2025-08-26T20:19:21.6387869Z 
2025-08-26T20:19:21.6387964Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6388294Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6388598Z     return mod(*inputs)
2025-08-26T20:19:21.6388861Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6389151Z     x = self.blocks(x)
2025-08-26T20:19:21.6389415Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6389701Z     out = self.block(x)
2025-08-26T20:19:21.6389960Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6390248Z     out = self.net(x)
2025-08-26T20:19:21.6390346Z 
2025-08-26T20:19:21.6390426Z cudagraph partition due to non gpu ops
2025-08-26T20:19:21.6390656Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6390988Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6391285Z     return mod(*inputs)
2025-08-26T20:19:21.6391559Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6391889Z     x = self.blocks(x)
2025-08-26T20:19:21.6392161Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6392446Z     out = self.block(x)
2025-08-26T20:19:21.6392717Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-08-26T20:19:21.6393016Z     out = torch.cat([out, x], dim=1)
2025-08-26T20:19:21.6393140Z 
2025-08-26T20:19:21.6393248Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6393587Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6393890Z     return mod(*inputs)
2025-08-26T20:19:21.6394168Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6394460Z     x = self.blocks(x)
2025-08-26T20:19:21.6394727Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6395016Z     out = self.block(x)
2025-08-26T20:19:21.6395286Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6395578Z     out = self.net(x)
2025-08-26T20:19:21.6395672Z 
2025-08-26T20:19:21.6395776Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6396109Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6396413Z     return mod(*inputs)
2025-08-26T20:19:21.6396691Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6396983Z     x = self.blocks(x)
2025-08-26T20:19:21.6397249Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6397534Z     out = self.block(x)
2025-08-26T20:19:21.6397802Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6398097Z     out = self.net(x)
2025-08-26T20:19:21.6398189Z 
2025-08-26T20:19:21.6398327Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6398655Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6398966Z     return mod(*inputs)
2025-08-26T20:19:21.6399244Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6399535Z     x = self.blocks(x)
2025-08-26T20:19:21.6399804Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6400090Z     out = self.block(x)
2025-08-26T20:19:21.6400362Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6400655Z     out = self.net(x)
2025-08-26T20:19:21.6400751Z 
2025-08-26T20:19:21.6400857Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6401194Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6401501Z     return mod(*inputs)
2025-08-26T20:19:21.6401776Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6402068Z     x = self.blocks(x)
2025-08-26T20:19:21.6402334Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6402629Z     out = self.block(x)
2025-08-26T20:19:21.6402899Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6403192Z     out = self.net(x)
2025-08-26T20:19:21.6403287Z 
2025-08-26T20:19:21.6403406Z cudagraph partition due to non gpu ops
2025-08-26T20:19:21.6403648Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6403983Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6404347Z     return mod(*inputs)
2025-08-26T20:19:21.6404621Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6404913Z     x = self.blocks(x)
2025-08-26T20:19:21.6405178Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6405460Z     out = self.block(x)
2025-08-26T20:19:21.6405727Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-08-26T20:19:21.6406023Z     out = torch.cat([out, x], dim=1)
2025-08-26T20:19:21.6406144Z 
2025-08-26T20:19:21.6406253Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6406582Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6406888Z     return mod(*inputs)
2025-08-26T20:19:21.6407163Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6407458Z     x = self.blocks(x)
2025-08-26T20:19:21.6407727Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6408011Z     out = self.block(x)
2025-08-26T20:19:21.6408278Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6408565Z     out = self.net(x)
2025-08-26T20:19:21.6408658Z 
2025-08-26T20:19:21.6408760Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6409087Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6409391Z     return mod(*inputs)
2025-08-26T20:19:21.6409662Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6409953Z     x = self.blocks(x)
2025-08-26T20:19:21.6410212Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6410500Z     out = self.block(x)
2025-08-26T20:19:21.6410769Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6411118Z     out = self.net(x)
2025-08-26T20:19:21.6411212Z 
2025-08-26T20:19:21.6411315Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6411643Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6411944Z     return mod(*inputs)
2025-08-26T20:19:21.6412214Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6412499Z     x = self.blocks(x)
2025-08-26T20:19:21.6412756Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6413046Z     out = self.block(x)
2025-08-26T20:19:21.6413310Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6413596Z     out = self.net(x)
2025-08-26T20:19:21.6413685Z 
2025-08-26T20:19:21.6413790Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6414119Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6414423Z     return mod(*inputs)
2025-08-26T20:19:21.6414696Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6414980Z     x = self.blocks(x)
2025-08-26T20:19:21.6415238Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6415528Z     out = self.block(x)
2025-08-26T20:19:21.6415797Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6416088Z     out = self.net(x)
2025-08-26T20:19:21.6416181Z 
2025-08-26T20:19:21.6416261Z cudagraph partition due to non gpu ops
2025-08-26T20:19:21.6416491Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6416831Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6417168Z     return mod(*inputs)
2025-08-26T20:19:21.6417448Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6417733Z     x = self.blocks(x)
2025-08-26T20:19:21.6418001Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6418289Z     out = self.block(x)
2025-08-26T20:19:21.6418557Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-08-26T20:19:21.6418845Z     out = torch.cat([out, x], dim=1)
2025-08-26T20:19:21.6418974Z 
2025-08-26T20:19:21.6419070Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6419410Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6419718Z     return mod(*inputs)
2025-08-26T20:19:21.6419982Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6420277Z     x = self.blocks(x)
2025-08-26T20:19:21.6420548Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6420842Z     out = self.block(x)
2025-08-26T20:19:21.6421113Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6421398Z     out = self.net(x)
2025-08-26T20:19:21.6421500Z 
2025-08-26T20:19:21.6421596Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6421934Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6422239Z     return mod(*inputs)
2025-08-26T20:19:21.6422502Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6422796Z     x = self.blocks(x)
2025-08-26T20:19:21.6423065Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6423356Z     out = self.block(x)
2025-08-26T20:19:21.6423656Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6423937Z     out = self.net(x)
2025-08-26T20:19:21.6424036Z 
2025-08-26T20:19:21.6424133Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6424468Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6424766Z     return mod(*inputs)
2025-08-26T20:19:21.6425027Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6425319Z     x = self.blocks(x)
2025-08-26T20:19:21.6425588Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6425879Z     out = self.block(x)
2025-08-26T20:19:21.6426139Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6426428Z     out = self.net(x)
2025-08-26T20:19:21.6426533Z 
2025-08-26T20:19:21.6426629Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6426967Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6427270Z     return mod(*inputs)
2025-08-26T20:19:21.6427532Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6427824Z     x = self.blocks(x)
2025-08-26T20:19:21.6428094Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6428382Z     out = self.block(x)
2025-08-26T20:19:21.6428641Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6428929Z     out = self.net(x)
2025-08-26T20:19:21.6429027Z 
2025-08-26T20:19:21.6429106Z cudagraph partition due to non gpu ops
2025-08-26T20:19:21.6429337Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6429670Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6430010Z     return mod(*inputs)
2025-08-26T20:19:21.6430283Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6430576Z     x = self.blocks(x)
2025-08-26T20:19:21.6430842Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6431125Z     out = self.block(x)
2025-08-26T20:19:21.6431391Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-08-26T20:19:21.6431688Z     out = torch.cat([out, x], dim=1)
2025-08-26T20:19:21.6431809Z 
2025-08-26T20:19:21.6431917Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6432249Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6432558Z     return mod(*inputs)
2025-08-26T20:19:21.6432833Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6433131Z     x = self.blocks(x)
2025-08-26T20:19:21.6433403Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6433688Z     out = self.block(x)
2025-08-26T20:19:21.6433958Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6434249Z     out = self.net(x)
2025-08-26T20:19:21.6434342Z 
2025-08-26T20:19:21.6434450Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6434783Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6435091Z     return mod(*inputs)
2025-08-26T20:19:21.6435369Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6435663Z     x = self.blocks(x)
2025-08-26T20:19:21.6435924Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6436219Z     out = self.block(x)
2025-08-26T20:19:21.6436520Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6436813Z     out = self.net(x)
2025-08-26T20:19:21.6436904Z 
2025-08-26T20:19:21.6437009Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6437336Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6437636Z     return mod(*inputs)
2025-08-26T20:19:21.6437907Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6438202Z     x = self.blocks(x)
2025-08-26T20:19:21.6438461Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6438753Z     out = self.block(x)
2025-08-26T20:19:21.6439021Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6439314Z     out = self.net(x)
2025-08-26T20:19:21.6439407Z 
2025-08-26T20:19:21.6439515Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6439841Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6440150Z     return mod(*inputs)
2025-08-26T20:19:21.6440427Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6440718Z     x = self.blocks(x)
2025-08-26T20:19:21.6440979Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6441269Z     out = self.block(x)
2025-08-26T20:19:21.6441536Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6441825Z     out = self.net(x)
2025-08-26T20:19:21.6441919Z 
2025-08-26T20:19:21.6441998Z cudagraph partition due to non gpu ops
2025-08-26T20:19:21.6442228Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6442601Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6442914Z     return mod(*inputs)
2025-08-26T20:19:21.6443193Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6443487Z     x = self.blocks(x)
2025-08-26T20:19:21.6443765Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6444062Z     out = self.block(x)
2025-08-26T20:19:21.6444341Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-08-26T20:19:21.6444636Z     out = torch.cat([out, x], dim=1)
2025-08-26T20:19:21.6444768Z 
2025-08-26T20:19:21.6444868Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6445218Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6445529Z     return mod(*inputs)
2025-08-26T20:19:21.6445815Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6446111Z     x = self.blocks(x)
2025-08-26T20:19:21.6446386Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 79, in forward
2025-08-26T20:19:21.6446693Z     return self.transition(x)
2025-08-26T20:19:21.6446810Z 
2025-08-26T20:19:21.6446919Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6447258Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6447571Z     return mod(*inputs)
2025-08-26T20:19:21.6447850Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6448147Z     x = self.blocks(x)
2025-08-26T20:19:21.6448417Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 79, in forward
2025-08-26T20:19:21.6448723Z     return self.transition(x)
2025-08-26T20:19:21.6448847Z 
2025-08-26T20:19:21.6448946Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6450191Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6450508Z     return mod(*inputs)
2025-08-26T20:19:21.6450778Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6451078Z     x = self.blocks(x)
2025-08-26T20:19:21.6451348Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 79, in forward
2025-08-26T20:19:21.6451649Z     return self.transition(x)
2025-08-26T20:19:21.6451762Z 
2025-08-26T20:19:21.6451861Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6452199Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6452506Z     return mod(*inputs)
2025-08-26T20:19:21.6452782Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6453082Z     x = self.blocks(x)
2025-08-26T20:19:21.6453348Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6453644Z     out = self.block(x)
2025-08-26T20:19:21.6453914Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6454205Z     out = self.net(x)
2025-08-26T20:19:21.6454298Z 
2025-08-26T20:19:21.6454396Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6454735Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6455044Z     return mod(*inputs)
2025-08-26T20:19:21.6455318Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6455613Z     x = self.blocks(x)
2025-08-26T20:19:21.6455875Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6456221Z     out = self.block(x)
2025-08-26T20:19:21.6456499Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6456795Z     out = self.net(x)
2025-08-26T20:19:21.6456886Z 
2025-08-26T20:19:21.6456984Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6457321Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6457623Z     return mod(*inputs)
2025-08-26T20:19:21.6457899Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6458184Z     x = self.blocks(x)
2025-08-26T20:19:21.6458454Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6458746Z     out = self.block(x)
2025-08-26T20:19:21.6459015Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6459308Z     out = self.net(x)
2025-08-26T20:19:21.6459406Z 
2025-08-26T20:19:21.6459504Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6459843Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6460145Z     return mod(*inputs)
2025-08-26T20:19:21.6460416Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6460700Z     x = self.blocks(x)
2025-08-26T20:19:21.6460969Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6461261Z     out = self.block(x)
2025-08-26T20:19:21.6461525Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6461804Z     out = self.net(x)
2025-08-26T20:19:21.6461905Z 
2025-08-26T20:19:21.6461982Z cudagraph partition due to non gpu ops
2025-08-26T20:19:21.6462216Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6462553Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6462890Z     return mod(*inputs)
2025-08-26T20:19:21.6463159Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6463448Z     x = self.blocks(x)
2025-08-26T20:19:21.6463716Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6464006Z     out = self.block(x)
2025-08-26T20:19:21.6464267Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-08-26T20:19:21.6464565Z     out = torch.cat([out, x], dim=1)
2025-08-26T20:19:21.6464695Z 
2025-08-26T20:19:21.6464793Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6465128Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6465432Z     return mod(*inputs)
2025-08-26T20:19:21.6465696Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6466049Z     x = self.blocks(x)
2025-08-26T20:19:21.6466328Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6466625Z     out = self.block(x)
2025-08-26T20:19:21.6466885Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6467185Z     out = self.net(x)
2025-08-26T20:19:21.6467288Z 
2025-08-26T20:19:21.6467388Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6467735Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6468037Z     return mod(*inputs)
2025-08-26T20:19:21.6468315Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6468615Z     x = self.blocks(x)
2025-08-26T20:19:21.6468890Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6469245Z     out = self.block(x)
2025-08-26T20:19:21.6469507Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6469800Z     out = self.net(x)
2025-08-26T20:19:21.6469892Z 
2025-08-26T20:19:21.6469998Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6470335Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6470639Z     return mod(*inputs)
2025-08-26T20:19:21.6470916Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6471212Z     x = self.blocks(x)
2025-08-26T20:19:21.6471482Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6471765Z     out = self.block(x)
2025-08-26T20:19:21.6472033Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6472328Z     out = self.net(x)
2025-08-26T20:19:21.6472422Z 
2025-08-26T20:19:21.6472530Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6472871Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6473170Z     return mod(*inputs)
2025-08-26T20:19:21.6473444Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6473737Z     x = self.blocks(x)
2025-08-26T20:19:21.6474009Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6474291Z     out = self.block(x)
2025-08-26T20:19:21.6474558Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6474848Z     out = self.net(x)
2025-08-26T20:19:21.6474940Z 
2025-08-26T20:19:21.6475026Z cudagraph partition due to non gpu ops
2025-08-26T20:19:21.6475255Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6475640Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6475947Z     return mod(*inputs)
2025-08-26T20:19:21.6476218Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6476512Z     x = self.blocks(x)
2025-08-26T20:19:21.6476773Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6477067Z     out = self.block(x)
2025-08-26T20:19:21.6477335Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-08-26T20:19:21.6477633Z     out = torch.cat([out, x], dim=1)
2025-08-26T20:19:21.6477754Z 
2025-08-26T20:19:21.6477853Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6478194Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6478500Z     return mod(*inputs)
2025-08-26T20:19:21.6478778Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6479074Z     x = self.blocks(x)
2025-08-26T20:19:21.6479340Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6479628Z     out = self.block(x)
2025-08-26T20:19:21.6479897Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6480188Z     out = self.net(x)
2025-08-26T20:19:21.6480280Z 
2025-08-26T20:19:21.6480377Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6480718Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6481025Z     return mod(*inputs)
2025-08-26T20:19:21.6481299Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6481594Z     x = self.blocks(x)
2025-08-26T20:19:21.6481896Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6482197Z     out = self.block(x)
2025-08-26T20:19:21.6482475Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6482770Z     out = self.net(x)
2025-08-26T20:19:21.6482868Z 
2025-08-26T20:19:21.6482968Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6483313Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6483623Z     return mod(*inputs)
2025-08-26T20:19:21.6483902Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6484191Z     x = self.blocks(x)
2025-08-26T20:19:21.6484468Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6484763Z     out = self.block(x)
2025-08-26T20:19:21.6485039Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6485340Z     out = self.net(x)
2025-08-26T20:19:21.6485440Z 
2025-08-26T20:19:21.6485539Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6485883Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6486191Z     return mod(*inputs)
2025-08-26T20:19:21.6486474Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6486766Z     x = self.blocks(x)
2025-08-26T20:19:21.6487041Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6487341Z     out = self.block(x)
2025-08-26T20:19:21.6487613Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6487902Z     out = self.net(x)
2025-08-26T20:19:21.6488003Z 
2025-08-26T20:19:21.6488085Z cudagraph partition due to non gpu ops
2025-08-26T20:19:21.6488321Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6488696Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6489007Z     return mod(*inputs)
2025-08-26T20:19:21.6489278Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6489573Z     x = self.blocks(x)
2025-08-26T20:19:21.6489842Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6490128Z     out = self.block(x)
2025-08-26T20:19:21.6490390Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-08-26T20:19:21.6490687Z     out = torch.cat([out, x], dim=1)
2025-08-26T20:19:21.6490815Z 
2025-08-26T20:19:21.6490916Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6491259Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6491573Z     return mod(*inputs)
2025-08-26T20:19:21.6491845Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6492145Z     x = self.blocks(x)
2025-08-26T20:19:21.6492418Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6492711Z     out = self.block(x)
2025-08-26T20:19:21.6492974Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6493267Z     out = self.net(x)
2025-08-26T20:19:21.6493367Z 
2025-08-26T20:19:21.6493466Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6493807Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6494107Z     return mod(*inputs)
2025-08-26T20:19:21.6494385Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6494720Z     x = self.blocks(x)
2025-08-26T20:19:21.6494992Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6495308Z     out = self.block(x)
2025-08-26T20:19:21.6495576Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6495869Z     out = self.net(x)
2025-08-26T20:19:21.6495970Z 
2025-08-26T20:19:21.6496067Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6496407Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6496703Z     return mod(*inputs)
2025-08-26T20:19:21.6496977Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6497271Z     x = self.blocks(x)
2025-08-26T20:19:21.6497540Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6497838Z     out = self.block(x)
2025-08-26T20:19:21.6498104Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6498402Z     out = self.net(x)
2025-08-26T20:19:21.6498498Z 
2025-08-26T20:19:21.6498600Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6498939Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6499235Z     return mod(*inputs)
2025-08-26T20:19:21.6499508Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6499803Z     x = self.blocks(x)
2025-08-26T20:19:21.6500072Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6500354Z     out = self.block(x)
2025-08-26T20:19:21.6500625Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6500919Z     out = self.net(x)
2025-08-26T20:19:21.6501012Z 
2025-08-26T20:19:21.6501099Z cudagraph partition due to non gpu ops
2025-08-26T20:19:21.6501383Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6501713Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6502016Z     return mod(*inputs)
2025-08-26T20:19:21.6502286Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6502577Z     x = self.blocks(x)
2025-08-26T20:19:21.6502838Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6503131Z     out = self.block(x)
2025-08-26T20:19:21.6503398Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-08-26T20:19:21.6503695Z     out = torch.cat([out, x], dim=1)
2025-08-26T20:19:21.6503813Z 
2025-08-26T20:19:21.6503917Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6504253Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6504567Z     return mod(*inputs)
2025-08-26T20:19:21.6504845Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6505140Z     x = self.blocks(x)
2025-08-26T20:19:21.6505402Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6505691Z     out = self.block(x)
2025-08-26T20:19:21.6505960Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6506252Z     out = self.net(x)
2025-08-26T20:19:21.6506344Z 
2025-08-26T20:19:21.6506441Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6506782Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6507088Z     return mod(*inputs)
2025-08-26T20:19:21.6507360Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6507689Z     x = self.blocks(x)
2025-08-26T20:19:21.6507952Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6508259Z     out = self.block(x)
2025-08-26T20:19:21.6508530Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6508819Z     out = self.net(x)
2025-08-26T20:19:21.6508913Z 
2025-08-26T20:19:21.6509013Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6509350Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6509651Z     return mod(*inputs)
2025-08-26T20:19:21.6509922Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6510214Z     x = self.blocks(x)
2025-08-26T20:19:21.6510479Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6510776Z     out = self.block(x)
2025-08-26T20:19:21.6511050Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6511341Z     out = self.net(x)
2025-08-26T20:19:21.6511433Z 
2025-08-26T20:19:21.6511530Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6511871Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6512179Z     return mod(*inputs)
2025-08-26T20:19:21.6512448Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6512736Z     x = self.blocks(x)
2025-08-26T20:19:21.6513007Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6513301Z     out = self.block(x)
2025-08-26T20:19:21.6513572Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6513859Z     out = self.net(x)
2025-08-26T20:19:21.6513956Z 
2025-08-26T20:19:21.6514035Z cudagraph partition due to non gpu ops
2025-08-26T20:19:21.6514321Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6514669Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6514975Z     return mod(*inputs)
2025-08-26T20:19:21.6515240Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6515533Z     x = self.blocks(x)
2025-08-26T20:19:21.6515802Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6516091Z     out = self.block(x)
2025-08-26T20:19:21.6516351Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-08-26T20:19:21.6516649Z     out = torch.cat([out, x], dim=1)
2025-08-26T20:19:21.6516774Z 
2025-08-26T20:19:21.6516871Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6517211Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6517515Z     return mod(*inputs)
2025-08-26T20:19:21.6517782Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6518078Z     x = self.blocks(x)
2025-08-26T20:19:21.6518348Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6518637Z     out = self.block(x)
2025-08-26T20:19:21.6518900Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6519196Z     out = self.net(x)
2025-08-26T20:19:21.6519296Z 
2025-08-26T20:19:21.6519393Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6519731Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6520035Z     return mod(*inputs)
2025-08-26T20:19:21.6520303Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6520630Z     x = self.blocks(x)
2025-08-26T20:19:21.6520907Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6521200Z     out = self.block(x)
2025-08-26T20:19:21.6521462Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6521754Z     out = self.net(x)
2025-08-26T20:19:21.6521854Z 
2025-08-26T20:19:21.6521952Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6522296Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6522594Z     return mod(*inputs)
2025-08-26T20:19:21.6522870Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6523163Z     x = self.blocks(x)
2025-08-26T20:19:21.6523432Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6523727Z     out = self.block(x)
2025-08-26T20:19:21.6523992Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6524285Z     out = self.net(x)
2025-08-26T20:19:21.6524379Z 
2025-08-26T20:19:21.6524485Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6524829Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6525126Z     return mod(*inputs)
2025-08-26T20:19:21.6525397Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6525691Z     x = self.blocks(x)
2025-08-26T20:19:21.6525959Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6526244Z     out = self.block(x)
2025-08-26T20:19:21.6526516Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6526812Z     out = self.net(x)
2025-08-26T20:19:21.6526905Z 
2025-08-26T20:19:21.6527018Z cudagraph partition due to non gpu ops
2025-08-26T20:19:21.6527249Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6527580Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6527884Z     return mod(*inputs)
2025-08-26T20:19:21.6528157Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6528451Z     x = self.blocks(x)
2025-08-26T20:19:21.6528712Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6529000Z     out = self.block(x)
2025-08-26T20:19:21.6529270Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-08-26T20:19:21.6529568Z     out = torch.cat([out, x], dim=1)
2025-08-26T20:19:21.6529688Z 
2025-08-26T20:19:21.6529797Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6530131Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6530434Z     return mod(*inputs)
2025-08-26T20:19:21.6530707Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6531008Z     x = self.blocks(x)
2025-08-26T20:19:21.6531272Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 79, in forward
2025-08-26T20:19:21.6531575Z     return self.transition(x)
2025-08-26T20:19:21.6531697Z 
2025-08-26T20:19:21.6531797Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6532146Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6532451Z     return mod(*inputs)
2025-08-26T20:19:21.6532718Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6533049Z     x = self.blocks(x)
2025-08-26T20:19:21.6533323Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 79, in forward
2025-08-26T20:19:21.6533623Z     return self.transition(x)
2025-08-26T20:19:21.6533736Z 
2025-08-26T20:19:21.6533837Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6534177Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6534482Z     return mod(*inputs)
2025-08-26T20:19:21.6534755Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6535039Z     x = self.blocks(x)
2025-08-26T20:19:21.6535311Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 79, in forward
2025-08-26T20:19:21.6535609Z     return self.transition(x)
2025-08-26T20:19:21.6535719Z 
2025-08-26T20:19:21.6535828Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6536170Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6536475Z     return mod(*inputs)
2025-08-26T20:19:21.6536751Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6537043Z     x = self.blocks(x)
2025-08-26T20:19:21.6537314Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6537597Z     out = self.block(x)
2025-08-26T20:19:21.6537873Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6538167Z     out = self.net(x)
2025-08-26T20:19:21.6538260Z 
2025-08-26T20:19:21.6538367Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6538704Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6539000Z     return mod(*inputs)
2025-08-26T20:19:21.6539270Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6539568Z     x = self.blocks(x)
2025-08-26T20:19:21.6539863Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6540148Z     out = self.block(x)
2025-08-26T20:19:21.6540417Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6540706Z     out = self.net(x)
2025-08-26T20:19:21.6540799Z 
2025-08-26T20:19:21.6540905Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6541233Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6541538Z     return mod(*inputs)
2025-08-26T20:19:21.6541809Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6542102Z     x = self.blocks(x)
2025-08-26T20:19:21.6542366Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6542650Z     out = self.block(x)
2025-08-26T20:19:21.6542917Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6543210Z     out = self.net(x)
2025-08-26T20:19:21.6543303Z 
2025-08-26T20:19:21.6543402Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6543733Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6544037Z     return mod(*inputs)
2025-08-26T20:19:21.6544306Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6544597Z     x = self.blocks(x)
2025-08-26T20:19:21.6544860Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6545148Z     out = self.block(x)
2025-08-26T20:19:21.6545416Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6546018Z     out = self.net(x)
2025-08-26T20:19:21.6546110Z 
2025-08-26T20:19:21.6546200Z cudagraph partition due to non gpu ops
2025-08-26T20:19:21.6546428Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6546774Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6547088Z     return mod(*inputs)
2025-08-26T20:19:21.6547367Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6547656Z     x = self.blocks(x)
2025-08-26T20:19:21.6547930Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6548225Z     out = self.block(x)
2025-08-26T20:19:21.6548500Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-08-26T20:19:21.6548805Z     out = torch.cat([out, x], dim=1)
2025-08-26T20:19:21.6548924Z 
2025-08-26T20:19:21.6549022Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6549361Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6549670Z     return mod(*inputs)
2025-08-26T20:19:21.6549941Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6550226Z     x = self.blocks(x)
2025-08-26T20:19:21.6550498Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6550788Z     out = self.block(x)
2025-08-26T20:19:21.6551058Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6551341Z     out = self.net(x)
2025-08-26T20:19:21.6551441Z 
2025-08-26T20:19:21.6551539Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6551878Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6552185Z     return mod(*inputs)
2025-08-26T20:19:21.6552461Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6552776Z     x = self.blocks(x)
2025-08-26T20:19:21.6553052Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6553349Z     out = self.block(x)
2025-08-26T20:19:21.6553626Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6553916Z     out = self.net(x)
2025-08-26T20:19:21.6554019Z 
2025-08-26T20:19:21.6554119Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6554461Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6554767Z     return mod(*inputs)
2025-08-26T20:19:21.6555048Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6555337Z     x = self.blocks(x)
2025-08-26T20:19:21.6555610Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6555910Z     out = self.block(x)
2025-08-26T20:19:21.6556187Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6556475Z     out = self.net(x)
2025-08-26T20:19:21.6556579Z 
2025-08-26T20:19:21.6556678Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6557028Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6557336Z     return mod(*inputs)
2025-08-26T20:19:21.6557608Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6557913Z     x = self.blocks(x)
2025-08-26T20:19:21.6558190Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6558485Z     out = self.block(x)
2025-08-26T20:19:21.6558766Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6559088Z     out = self.net(x)
2025-08-26T20:19:21.6559194Z 
2025-08-26T20:19:21.6559277Z cudagraph partition due to non gpu ops
2025-08-26T20:19:21.6559515Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6559868Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6560178Z     return mod(*inputs)
2025-08-26T20:19:21.6560477Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6560780Z     x = self.blocks(x)
2025-08-26T20:19:21.6561060Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6561352Z     out = self.block(x)
2025-08-26T20:19:21.6561628Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-08-26T20:19:21.6561934Z     out = torch.cat([out, x], dim=1)
2025-08-26T20:19:21.6562057Z 
2025-08-26T20:19:21.6562173Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6562523Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6562827Z     return mod(*inputs)
2025-08-26T20:19:21.6563106Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6563408Z     x = self.blocks(x)
2025-08-26T20:19:21.6563683Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6563972Z     out = self.block(x)
2025-08-26T20:19:21.6564247Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6564546Z     out = self.net(x)
2025-08-26T20:19:21.6564642Z 
2025-08-26T20:19:21.6564749Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6565094Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6565406Z     return mod(*inputs)
2025-08-26T20:19:21.6565713Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6566045Z     x = self.blocks(x)
2025-08-26T20:19:21.6566314Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6566600Z     out = self.block(x)
2025-08-26T20:19:21.6566870Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6567162Z     out = self.net(x)
2025-08-26T20:19:21.6567254Z 
2025-08-26T20:19:21.6567360Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6567694Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6568009Z     return mod(*inputs)
2025-08-26T20:19:21.6568283Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6568580Z     x = self.blocks(x)
2025-08-26T20:19:21.6568854Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6569142Z     out = self.block(x)
2025-08-26T20:19:21.6569411Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6569702Z     out = self.net(x)
2025-08-26T20:19:21.6569793Z 
2025-08-26T20:19:21.6569897Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6570227Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6570535Z     return mod(*inputs)
2025-08-26T20:19:21.6570807Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6571099Z     x = self.blocks(x)
2025-08-26T20:19:21.6571371Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6571656Z     out = self.block(x)
2025-08-26T20:19:21.6571923Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6572280Z     out = self.net(x)
2025-08-26T20:19:21.6572372Z 
2025-08-26T20:19:21.6572457Z cudagraph partition due to non gpu ops
2025-08-26T20:19:21.6572680Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6573020Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6573333Z     return mod(*inputs)
2025-08-26T20:19:21.6573611Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6573901Z     x = self.blocks(x)
2025-08-26T20:19:21.6574176Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6574470Z     out = self.block(x)
2025-08-26T20:19:21.6574741Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-08-26T20:19:21.6575042Z     out = torch.cat([out, x], dim=1)
2025-08-26T20:19:21.6575167Z 
2025-08-26T20:19:21.6575266Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6575607Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6575913Z     return mod(*inputs)
2025-08-26T20:19:21.6576188Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6576477Z     x = self.blocks(x)
2025-08-26T20:19:21.6576746Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6577036Z     out = self.block(x)
2025-08-26T20:19:21.6577304Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6577587Z     out = self.net(x)
2025-08-26T20:19:21.6577688Z 
2025-08-26T20:19:21.6577788Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6578125Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6578433Z     return mod(*inputs)
2025-08-26T20:19:21.6578753Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6579042Z     x = self.blocks(x)
2025-08-26T20:19:21.6579311Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6579601Z     out = self.block(x)
2025-08-26T20:19:21.6579869Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6580153Z     out = self.net(x)
2025-08-26T20:19:21.6580254Z 
2025-08-26T20:19:21.6580350Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6580686Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6580993Z     return mod(*inputs)
2025-08-26T20:19:21.6581266Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6581553Z     x = self.blocks(x)
2025-08-26T20:19:21.6581821Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6582115Z     out = self.block(x)
2025-08-26T20:19:21.6582383Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6582662Z     out = self.net(x)
2025-08-26T20:19:21.6582761Z 
2025-08-26T20:19:21.6582860Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6583196Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6583498Z     return mod(*inputs)
2025-08-26T20:19:21.6583765Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6584060Z     x = self.blocks(x)
2025-08-26T20:19:21.6584329Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6584620Z     out = self.block(x)
2025-08-26T20:19:21.6584930Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6585210Z     out = self.net(x)
2025-08-26T20:19:21.6585310Z 
2025-08-26T20:19:21.6585387Z cudagraph partition due to non gpu ops
2025-08-26T20:19:21.6585619Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6585953Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6586251Z     return mod(*inputs)
2025-08-26T20:19:21.6586524Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6586820Z     x = self.blocks(x)
2025-08-26T20:19:21.6587086Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6587374Z     out = self.block(x)
2025-08-26T20:19:21.6587635Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-08-26T20:19:21.6587942Z     out = torch.cat([out, x], dim=1)
2025-08-26T20:19:21.6588063Z 
2025-08-26T20:19:21.6588174Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6588518Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6588816Z     return mod(*inputs)
2025-08-26T20:19:21.6589089Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6589379Z     x = self.blocks(x)
2025-08-26T20:19:21.6589649Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6589933Z     out = self.block(x)
2025-08-26T20:19:21.6590204Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6590495Z     out = self.net(x)
2025-08-26T20:19:21.6590587Z 
2025-08-26T20:19:21.6590694Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6591037Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6591366Z     return mod(*inputs)
2025-08-26T20:19:21.6591645Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6591940Z     x = self.blocks(x)
2025-08-26T20:19:21.6592213Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6592499Z     out = self.block(x)
2025-08-26T20:19:21.6592772Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6593067Z     out = self.net(x)
2025-08-26T20:19:21.6593159Z 
2025-08-26T20:19:21.6593263Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6593604Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6593903Z     return mod(*inputs)
2025-08-26T20:19:21.6594178Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6594477Z     x = self.blocks(x)
2025-08-26T20:19:21.6594748Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6595032Z     out = self.block(x)
2025-08-26T20:19:21.6595302Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6595593Z     out = self.net(x)
2025-08-26T20:19:21.6595685Z 
2025-08-26T20:19:21.6595789Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6596120Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6596432Z     return mod(*inputs)
2025-08-26T20:19:21.6596706Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6597003Z     x = self.blocks(x)
2025-08-26T20:19:21.6597272Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6597595Z     out = self.block(x)
2025-08-26T20:19:21.6597866Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6598160Z     out = self.net(x)
2025-08-26T20:19:21.6598252Z 
2025-08-26T20:19:21.6598339Z cudagraph partition due to non gpu ops
2025-08-26T20:19:21.6598561Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6598905Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6599216Z     return mod(*inputs)
2025-08-26T20:19:21.6599491Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6599776Z     x = self.blocks(x)
2025-08-26T20:19:21.6600047Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6600339Z     out = self.block(x)
2025-08-26T20:19:21.6600608Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-08-26T20:19:21.6600908Z     out = torch.cat([out, x], dim=1)
2025-08-26T20:19:21.6601033Z 
2025-08-26T20:19:21.6601133Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6601473Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6601781Z     return mod(*inputs)
2025-08-26T20:19:21.6602048Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6602333Z     x = self.blocks(x)
2025-08-26T20:19:21.6602600Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6602898Z     out = self.block(x)
2025-08-26T20:19:21.6603167Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6603455Z     out = self.net(x)
2025-08-26T20:19:21.6603549Z 
2025-08-26T20:19:21.6603644Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6604012Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6604325Z     return mod(*inputs)
2025-08-26T20:19:21.6604600Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6604888Z     x = self.blocks(x)
2025-08-26T20:19:21.6605155Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6605442Z     out = self.block(x)
2025-08-26T20:19:21.6605711Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6605993Z     out = self.net(x)
2025-08-26T20:19:21.6606093Z 
2025-08-26T20:19:21.6606190Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6606528Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6606832Z     return mod(*inputs)
2025-08-26T20:19:21.6607105Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6607395Z     x = self.blocks(x)
2025-08-26T20:19:21.6607666Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6607954Z     out = self.block(x)
2025-08-26T20:19:21.6608220Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6608502Z     out = self.net(x)
2025-08-26T20:19:21.6608604Z 
2025-08-26T20:19:21.6608701Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6609041Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6609349Z     return mod(*inputs)
2025-08-26T20:19:21.6609621Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6609904Z     x = self.blocks(x)
2025-08-26T20:19:21.6610171Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6610493Z     out = self.block(x)
2025-08-26T20:19:21.6610766Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6611045Z     out = self.net(x)
2025-08-26T20:19:21.6611145Z 
2025-08-26T20:19:21.6611224Z cudagraph partition due to non gpu ops
2025-08-26T20:19:21.6611453Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6611793Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6612095Z     return mod(*inputs)
2025-08-26T20:19:21.6612381Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6612674Z     x = self.blocks(x)
2025-08-26T20:19:21.6612944Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6613235Z     out = self.block(x)
2025-08-26T20:19:21.6613506Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-08-26T20:19:21.6613807Z     out = torch.cat([out, x], dim=1)
2025-08-26T20:19:21.6613930Z 
2025-08-26T20:19:21.6614037Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6614371Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6614669Z     return mod(*inputs)
2025-08-26T20:19:21.6614943Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6615236Z     x = self.blocks(x)
2025-08-26T20:19:21.6615504Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 79, in forward
2025-08-26T20:19:21.6615792Z     return self.transition(x)
2025-08-26T20:19:21.6615911Z 
2025-08-26T20:19:21.6616010Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6616348Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6616657Z     return mod(*inputs)
2025-08-26T20:19:21.6616960Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6617245Z     x = self.blocks(x)
2025-08-26T20:19:21.6617516Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 79, in forward
2025-08-26T20:19:21.6617811Z     return self.transition(x)
2025-08-26T20:19:21.6617920Z 
2025-08-26T20:19:21.6618028Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6618354Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6618661Z     return mod(*inputs)
2025-08-26T20:19:21.6618932Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6619224Z     x = self.blocks(x)
2025-08-26T20:19:21.6619491Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 79, in forward
2025-08-26T20:19:21.6619786Z     return self.transition(x)
2025-08-26T20:19:21.6619903Z 
2025-08-26T20:19:21.6620003Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6620337Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6620645Z     return mod(*inputs)
2025-08-26T20:19:21.6620909Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6621201Z     x = self.blocks(x)
2025-08-26T20:19:21.6621466Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6621754Z     out = self.block(x)
2025-08-26T20:19:21.6622021Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6622302Z     out = self.net(x)
2025-08-26T20:19:21.6622399Z 
2025-08-26T20:19:21.6622500Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6622869Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6623173Z     return mod(*inputs)
2025-08-26T20:19:21.6623437Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6623730Z     x = self.blocks(x)
2025-08-26T20:19:21.6623999Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6624290Z     out = self.block(x)
2025-08-26T20:19:21.6624549Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6624840Z     out = self.net(x)
2025-08-26T20:19:21.6624944Z 
2025-08-26T20:19:21.6625041Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6625380Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6625688Z     return mod(*inputs)
2025-08-26T20:19:21.6625950Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6626248Z     x = self.blocks(x)
2025-08-26T20:19:21.6626519Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6626807Z     out = self.block(x)
2025-08-26T20:19:21.6627069Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6627358Z     out = self.net(x)
2025-08-26T20:19:21.6627460Z 
2025-08-26T20:19:21.6627557Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6627897Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6628201Z     return mod(*inputs)
2025-08-26T20:19:21.6628463Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6628759Z     x = self.blocks(x)
2025-08-26T20:19:21.6629027Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6629322Z     out = self.block(x)
2025-08-26T20:19:21.6629611Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6629902Z     out = self.net(x)
2025-08-26T20:19:21.6630002Z 
2025-08-26T20:19:21.6630083Z cudagraph partition due to non gpu ops
2025-08-26T20:19:21.6630311Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6630647Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6630950Z     return mod(*inputs)
2025-08-26T20:19:21.6631222Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6631517Z     x = self.blocks(x)
2025-08-26T20:19:21.6631781Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6632064Z     out = self.block(x)
2025-08-26T20:19:21.6632432Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-08-26T20:19:21.6632925Z     out = torch.cat([out, x], dim=1)
2025-08-26T20:19:21.6633107Z 
2025-08-26T20:19:21.6633235Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6633647Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6634074Z     return mod(*inputs)
2025-08-26T20:19:21.6634380Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6634746Z     x = self.blocks(x)
2025-08-26T20:19:21.6635096Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6635454Z     out = self.block(x)
2025-08-26T20:19:21.6635759Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6636123Z     out = self.net(x)
2025-08-26T20:19:21.6636267Z 
2025-08-26T20:19:21.6636387Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6636815Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6661978Z     return mod(*inputs)
2025-08-26T20:19:21.6662362Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6662684Z     x = self.blocks(x)
2025-08-26T20:19:21.6662978Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6663287Z     out = self.block(x)
2025-08-26T20:19:21.6663570Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6663858Z     out = self.net(x)
2025-08-26T20:19:21.6663969Z 
2025-08-26T20:19:21.6664075Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6664433Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6664749Z     return mod(*inputs)
2025-08-26T20:19:21.6665049Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6665346Z     x = self.blocks(x)
2025-08-26T20:19:21.6665618Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6665971Z     out = self.block(x)
2025-08-26T20:19:21.6666246Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6666529Z     out = self.net(x)
2025-08-26T20:19:21.6666633Z 
2025-08-26T20:19:21.6666734Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6667081Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6667394Z     return mod(*inputs)
2025-08-26T20:19:21.6667663Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6667957Z     x = self.blocks(x)
2025-08-26T20:19:21.6668233Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6668877Z     out = self.block(x)
2025-08-26T20:19:21.6669155Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6669434Z     out = self.net(x)
2025-08-26T20:19:21.6669536Z 
2025-08-26T20:19:21.6669620Z cudagraph partition due to non gpu ops
2025-08-26T20:19:21.6669852Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6670188Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6670486Z     return mod(*inputs)
2025-08-26T20:19:21.6670759Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6671053Z     x = self.blocks(x)
2025-08-26T20:19:21.6671321Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6671604Z     out = self.block(x)
2025-08-26T20:19:21.6671881Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-08-26T20:19:21.6672184Z     out = torch.cat([out, x], dim=1)
2025-08-26T20:19:21.6672308Z 
2025-08-26T20:19:21.6672417Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6672755Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6673049Z     return mod(*inputs)
2025-08-26T20:19:21.6673322Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6673616Z     x = self.blocks(x)
2025-08-26T20:19:21.6673886Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6674167Z     out = self.block(x)
2025-08-26T20:19:21.6674434Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6674722Z     out = self.net(x)
2025-08-26T20:19:21.6674896Z 
2025-08-26T20:19:21.6675003Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6675336Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6675634Z     return mod(*inputs)
2025-08-26T20:19:21.6675910Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6676201Z     x = self.blocks(x)
2025-08-26T20:19:21.6676469Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6676751Z     out = self.block(x)
2025-08-26T20:19:21.6677023Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6677310Z     out = self.net(x)
2025-08-26T20:19:21.6677402Z 
2025-08-26T20:19:21.6677508Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6677836Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6678146Z     return mod(*inputs)
2025-08-26T20:19:21.6678418Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6678716Z     x = self.blocks(x)
2025-08-26T20:19:21.6678983Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6679264Z     out = self.block(x)
2025-08-26T20:19:21.6679534Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6679822Z     out = self.net(x)
2025-08-26T20:19:21.6679915Z 
2025-08-26T20:19:21.6680022Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6680350Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6680656Z     return mod(*inputs)
2025-08-26T20:19:21.6680928Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6680993Z     x = self.blocks(x)
2025-08-26T20:19:21.6681209Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6681274Z     out = self.block(x)
2025-08-26T20:19:21.6681451Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6681510Z     out = self.net(x)
2025-08-26T20:19:21.6681514Z 
2025-08-26T20:19:21.6681594Z cudagraph partition due to non gpu ops
2025-08-26T20:19:21.6681701Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6681884Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6681953Z     return mod(*inputs)
2025-08-26T20:19:21.6682122Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6682183Z     x = self.blocks(x)
2025-08-26T20:19:21.6682358Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6682422Z     out = self.block(x)
2025-08-26T20:19:21.6682599Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-08-26T20:19:21.6682670Z     out = torch.cat([out, x], dim=1)
2025-08-26T20:19:21.6682673Z 
2025-08-26T20:19:21.6682770Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6682956Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6683018Z     return mod(*inputs)
2025-08-26T20:19:21.6683198Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6683260Z     x = self.blocks(x)
2025-08-26T20:19:21.6683427Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6683496Z     out = self.block(x)
2025-08-26T20:19:21.6683662Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6683791Z     out = self.net(x)
2025-08-26T20:19:21.6683795Z 
2025-08-26T20:19:21.6683905Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6684086Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6684147Z     return mod(*inputs)
2025-08-26T20:19:21.6684328Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6684391Z     x = self.blocks(x)
2025-08-26T20:19:21.6684569Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6684629Z     out = self.block(x)
2025-08-26T20:19:21.6684794Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6684865Z     out = self.net(x)
2025-08-26T20:19:21.6684868Z 
2025-08-26T20:19:21.6684967Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6685156Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6685222Z     return mod(*inputs)
2025-08-26T20:19:21.6685397Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6685467Z     x = self.blocks(x)
2025-08-26T20:19:21.6685635Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6685703Z     out = self.block(x)
2025-08-26T20:19:21.6685870Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6685934Z     out = self.net(x)
2025-08-26T20:19:21.6685937Z 
2025-08-26T20:19:21.6686047Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6686226Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6686301Z     return mod(*inputs)
2025-08-26T20:19:21.6686475Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6686539Z     x = self.blocks(x)
2025-08-26T20:19:21.6686742Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6686805Z     out = self.block(x)
2025-08-26T20:19:21.6686980Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6687041Z     out = self.net(x)
2025-08-26T20:19:21.6687044Z 
2025-08-26T20:19:21.6687121Z cudagraph partition due to non gpu ops
2025-08-26T20:19:21.6687226Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6687405Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6687474Z     return mod(*inputs)
2025-08-26T20:19:21.6687644Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6687705Z     x = self.blocks(x)
2025-08-26T20:19:21.6687880Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6687944Z     out = self.block(x)
2025-08-26T20:19:21.6688123Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-08-26T20:19:21.6688193Z     out = torch.cat([out, x], dim=1)
2025-08-26T20:19:21.6688196Z 
2025-08-26T20:19:21.6688300Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6688478Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6688539Z     return mod(*inputs)
2025-08-26T20:19:21.6688717Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6688778Z     x = self.blocks(x)
2025-08-26T20:19:21.6688955Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6689016Z     out = self.block(x)
2025-08-26T20:19:21.6689183Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6689288Z     out = self.net(x)
2025-08-26T20:19:21.6689291Z 
2025-08-26T20:19:21.6689391Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6689579Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6689641Z     return mod(*inputs)
2025-08-26T20:19:21.6689812Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6689885Z     x = self.blocks(x)
2025-08-26T20:19:21.6690052Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6690119Z     out = self.block(x)
2025-08-26T20:19:21.6690285Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6690346Z     out = self.net(x)
2025-08-26T20:19:21.6690349Z 
2025-08-26T20:19:21.6690455Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6690639Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6690710Z     return mod(*inputs)
2025-08-26T20:19:21.6690881Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6690943Z     x = self.blocks(x)
2025-08-26T20:19:21.6691118Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6691179Z     out = self.block(x)
2025-08-26T20:19:21.6691352Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6691414Z     out = self.net(x)
2025-08-26T20:19:21.6691417Z 
2025-08-26T20:19:21.6691510Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6691693Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6691755Z     return mod(*inputs)
2025-08-26T20:19:21.6691931Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6692053Z     x = self.blocks(x)
2025-08-26T20:19:21.6692229Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6692289Z     out = self.block(x)
2025-08-26T20:19:21.6692455Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6692526Z     out = self.net(x)
2025-08-26T20:19:21.6692529Z 
2025-08-26T20:19:21.6692606Z cudagraph partition due to non gpu ops
2025-08-26T20:19:21.6692711Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6692891Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6692952Z     return mod(*inputs)
2025-08-26T20:19:21.6693129Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6693191Z     x = self.blocks(x)
2025-08-26T20:19:21.6693367Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6693432Z     out = self.block(x)
2025-08-26T20:19:21.6693600Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-08-26T20:19:21.6693675Z     out = torch.cat([out, x], dim=1)
2025-08-26T20:19:21.6693678Z 
2025-08-26T20:19:21.6693774Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6693958Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6694018Z     return mod(*inputs)
2025-08-26T20:19:21.6694190Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6694260Z     x = self.blocks(x)
2025-08-26T20:19:21.6694426Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6694494Z     out = self.block(x)
2025-08-26T20:19:21.6694689Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6694753Z     out = self.net(x)
2025-08-26T20:19:21.6694756Z 
2025-08-26T20:19:21.6694861Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6695037Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6695106Z     return mod(*inputs)
2025-08-26T20:19:21.6695279Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6695342Z     x = self.blocks(x)
2025-08-26T20:19:21.6695516Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6695579Z     out = self.block(x)
2025-08-26T20:19:21.6695756Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6695818Z     out = self.net(x)
2025-08-26T20:19:21.6695820Z 
2025-08-26T20:19:21.6695927Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6696112Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6696175Z     return mod(*inputs)
2025-08-26T20:19:21.6696355Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6696416Z     x = self.blocks(x)
2025-08-26T20:19:21.6696591Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6696651Z     out = self.block(x)
2025-08-26T20:19:21.6696818Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6696890Z     out = self.net(x)
2025-08-26T20:19:21.6696892Z 
2025-08-26T20:19:21.6696988Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6697173Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6697234Z     return mod(*inputs)
2025-08-26T20:19:21.6697451Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6697523Z     x = self.blocks(x)
2025-08-26T20:19:21.6697690Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6697761Z     out = self.block(x)
2025-08-26T20:19:21.6697929Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-26T20:19:21.6697989Z     out = self.net(x)
2025-08-26T20:19:21.6697992Z 
2025-08-26T20:19:21.6698078Z cudagraph partition due to non gpu ops
2025-08-26T20:19:21.6698173Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6698361Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6698427Z     return mod(*inputs)
2025-08-26T20:19:21.6698595Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-26T20:19:21.6698668Z     x = self.blocks(x)
2025-08-26T20:19:21.6698836Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-26T20:19:21.6698905Z     out = self.block(x)
2025-08-26T20:19:21.6699069Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-08-26T20:19:21.6699139Z     out = torch.cat([out, x], dim=1)
2025-08-26T20:19:21.6699142Z 
2025-08-26T20:19:21.6699226Z cudagraph partition due to non gpu ops
2025-08-26T20:19:21.6699322Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:21.6699508Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:21.6699570Z     return mod(*inputs)
2025-08-26T20:19:21.6699739Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 167, in forward
2025-08-26T20:19:21.6699815Z     x = self.output_net(x)
2025-08-26T20:19:21.6699818Z 
2025-08-26T20:19:21.6699891Z cudagraph partition due to non gpu ops
2025-08-26T20:19:21.6700004Z cudagraph partition due to non gpu ops
2025-08-26T20:19:46.5312897Z 
2025-08-26T20:19:46.6355380Z running benchmark:   0% 0/50 [00:00<?, ?it/s]
2025-08-26T20:19:46.7364721Z running benchmark:   6% 3/50 [00:00<00:01, 28.64it/s]
2025-08-26T20:19:46.8420921Z running benchmark:  12% 6/50 [00:00<00:01, 29.27it/s]
2025-08-26T20:19:46.9447253Z running benchmark:  18% 9/50 [00:00<00:01, 28.87it/s]
2025-08-26T20:19:47.0450851Z running benchmark:  24% 12/50 [00:00<00:01, 29.00it/s]
2025-08-26T20:19:47.1455194Z running benchmark:  30% 15/50 [00:00<00:01, 29.32it/s]
2025-08-26T20:19:47.2459878Z running benchmark:  36% 18/50 [00:00<00:01, 29.50it/s]
2025-08-26T20:19:47.3462719Z running benchmark:  42% 21/50 [00:00<00:00, 29.62it/s]
2025-08-26T20:19:47.4467102Z running benchmark:  48% 24/50 [00:00<00:00, 29.71it/s]
2025-08-26T20:19:47.5476884Z running benchmark:  54% 27/50 [00:00<00:00, 29.76it/s]
2025-08-26T20:19:47.6480173Z running benchmark:  60% 30/50 [00:01<00:00, 29.75it/s]
2025-08-26T20:19:47.7483086Z running benchmark:  66% 33/50 [00:01<00:00, 29.78it/s]
2025-08-26T20:19:47.8488030Z running benchmark:  72% 36/50 [00:01<00:00, 29.83it/s]
2025-08-26T20:19:47.9552115Z running benchmark:  78% 39/50 [00:01<00:00, 29.84it/s]
2025-08-26T20:19:48.0560152Z running benchmark:  84% 42/50 [00:01<00:00, 29.32it/s]
2025-08-26T20:19:48.1560687Z running benchmark:  90% 45/50 [00:01<00:00, 29.45it/s]
2025-08-26T20:19:48.2231398Z running benchmark:  96% 48/50 [00:01<00:00, 29.61it/s]
2025-08-26T20:19:48.2234022Z running benchmark: 100% 50/50 [00:01<00:00, 29.54it/s]
2025-08-26T20:19:48.3184688Z 1.832x
2025-08-26T20:19:48.3185061Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:19:49.2340549Z + cat /var/lib/jenkins/workspace/test/test-reports/inductor_inference_phlippe_densenet_inductor_float32_static_cpu_smoketest.csv
2025-08-26T20:19:49.2359676Z 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
2025-08-26T20:19:49.2360417Z cpu,phlippe_densenet,128,1.832364,11.470594,30.485883,0.918992,170.794598,185.849856,186,1,0,0,0,0,1
2025-08-26T20:19:49.2361140Z + 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
2025-08-26T20:19:49.4784369Z phlippe_densenet                   1.832364
2025-08-26T20:19:49.5147877Z + IFS=,
2025-08-26T20:19:49.5148104Z + read -r -a model_cfg
2025-08-26T20:19:49.5148360Z + local model_name=basic_gnn_edgecnn
2025-08-26T20:19:49.5148605Z + local data_type=float32
2025-08-26T20:19:49.5148829Z + local speedup_target=1.30092957
2025-08-26T20:19:49.5149051Z + local backend=inductor
2025-08-26T20:19:49.5149250Z + [[ default == \c\p\p ]]
2025-08-26T20:19:49.5149463Z + unset TORCHINDUCTOR_CPP_WRAPPER
2025-08-26T20:19:49.5150027Z + local output_name=/var/lib/jenkins/workspace/test/test-reports/inductor_inference_basic_gnn_edgecnn_inductor_float32_dynamic_cpu_smoketest.csv
2025-08-26T20:19:49.5150540Z + [[ dynamic == \d\y\n\a\m\i\c ]]
2025-08-26T20:19:49.5151500Z + 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
2025-08-26T20:19:51.5649736Z 
2025-08-26T20:19:52.7034980Z loading model: 0it [00:00, ?it/s]
2025-08-26T20:19:52.7035386Z loading model: 0it [00:01, ?it/s]
2025-08-26T20:19:52.7035762Z cpu  eval  basic_gnn_edgecnn                  
2025-08-26T20:19:54.1746216Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:54.1746658Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:54.1747396Z     return mod(*inputs)
2025-08-26T20:19:54.1747776Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:19:54.1748148Z     x = self.convs[i](x, edge_index)
2025-08-26T20:19:54.1748399Z   File "/tmp/jenkins_pyg/tmp7fwoii7l.py", line 233, in forward
2025-08-26T20:19:54.1748665Z     return self.propagate(edge_index, x=x, size=None)
2025-08-26T20:19:54.1748925Z   File "/tmp/jenkins_pyg/tmp7fwoii7l.py", line 192, in propagate
2025-08-26T20:19:54.1749259Z     out = self.aggregate(out, ptr=kwargs.ptr, dim_size=kwargs.dim_size, index=kwargs.index)
2025-08-26T20:19:54.1749717Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-08-26T20:19:54.1750141Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-08-26T20:19:54.1750527Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-08-26T20:19:54.1750911Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-08-26T20:19:54.1751281Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 48, in forward
2025-08-26T20:19:54.1751663Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='max')
2025-08-26T20:19:54.1752032Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-08-26T20:19:54.1752387Z     return scatter(x, index, dim, dim_size, reduce)
2025-08-26T20:19:54.1752728Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 98, in scatter
2025-08-26T20:19:54.1753075Z     return src.new_zeros(size).scatter_reduce_(
2025-08-26T20:19:54.1753222Z 
2025-08-26T20:19:54.1753329Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:54.1753675Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:54.1753983Z     return mod(*inputs)
2025-08-26T20:19:54.1754398Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:19:54.1754756Z     x = self.convs[i](x, edge_index)
2025-08-26T20:19:54.1754997Z   File "/tmp/jenkins_pyg/tmpzroqzw36.py", line 233, in forward
2025-08-26T20:19:54.1755260Z     return self.propagate(edge_index, x=x, size=None)
2025-08-26T20:19:54.1755518Z   File "/tmp/jenkins_pyg/tmpzroqzw36.py", line 192, in propagate
2025-08-26T20:19:54.1755845Z     out = self.aggregate(out, ptr=kwargs.ptr, dim_size=kwargs.dim_size, index=kwargs.index)
2025-08-26T20:19:54.1756300Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-08-26T20:19:54.1756723Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-08-26T20:19:54.1757109Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-08-26T20:19:54.1757490Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-08-26T20:19:54.1757863Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 48, in forward
2025-08-26T20:19:54.1758234Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='max')
2025-08-26T20:19:54.1758602Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-08-26T20:19:54.1758944Z     return scatter(x, index, dim, dim_size, reduce)
2025-08-26T20:19:54.1759292Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 98, in scatter
2025-08-26T20:19:54.1759634Z     return src.new_zeros(size).scatter_reduce_(
2025-08-26T20:19:54.1759771Z 
2025-08-26T20:19:54.1759880Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:54.1760224Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:54.1760578Z     return mod(*inputs)
2025-08-26T20:19:54.1760911Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:19:54.1761262Z     x = self.convs[i](x, edge_index)
2025-08-26T20:19:54.1761496Z   File "/tmp/jenkins_pyg/tmp30ynhwfg.py", line 233, in forward
2025-08-26T20:19:54.1761742Z     return self.propagate(edge_index, x=x, size=None)
2025-08-26T20:19:54.1762003Z   File "/tmp/jenkins_pyg/tmp30ynhwfg.py", line 192, in propagate
2025-08-26T20:19:54.1762323Z     out = self.aggregate(out, ptr=kwargs.ptr, dim_size=kwargs.dim_size, index=kwargs.index)
2025-08-26T20:19:54.1762772Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-08-26T20:19:54.1763184Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-08-26T20:19:54.1763551Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-08-26T20:19:54.1763933Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-08-26T20:19:54.1764350Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 48, in forward
2025-08-26T20:19:54.1764715Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='max')
2025-08-26T20:19:54.1765079Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-08-26T20:19:54.1765426Z     return scatter(x, index, dim, dim_size, reduce)
2025-08-26T20:19:54.1765822Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 98, in scatter
2025-08-26T20:19:54.1766175Z     return src.new_zeros(size).scatter_reduce_(
2025-08-26T20:19:54.1766311Z 
2025-08-26T20:19:54.1766416Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:54.1766759Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:54.1767129Z     return mod(*inputs)
2025-08-26T20:19:54.1767460Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:19:54.1767805Z     x = self.convs[i](x, edge_index)
2025-08-26T20:19:54.1768038Z   File "/tmp/jenkins_pyg/tmp7fwoii7l.py", line 233, in forward
2025-08-26T20:19:54.1768298Z     return self.propagate(edge_index, x=x, size=None)
2025-08-26T20:19:54.1768559Z   File "/tmp/jenkins_pyg/tmp7fwoii7l.py", line 191, in propagate
2025-08-26T20:19:54.1768812Z     out = self.message(x_i=kwargs.x_i, x_j=kwargs.x_j)
2025-08-26T20:19:54.1769173Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-08-26T20:19:54.1769547Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-08-26T20:19:54.1769696Z 
2025-08-26T20:19:54.1769786Z cudagraph partition due to non gpu ops
2025-08-26T20:19:54.1770021Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:54.1770353Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:54.1770660Z     return mod(*inputs)
2025-08-26T20:19:54.1770986Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:19:54.1771335Z     x = self.convs[i](x, edge_index)
2025-08-26T20:19:54.1771560Z   File "/tmp/jenkins_pyg/tmp7fwoii7l.py", line 233, in forward
2025-08-26T20:19:54.1771815Z     return self.propagate(edge_index, x=x, size=None)
2025-08-26T20:19:54.1772074Z   File "/tmp/jenkins_pyg/tmp7fwoii7l.py", line 191, in propagate
2025-08-26T20:19:54.1772334Z     out = self.message(x_i=kwargs.x_i, x_j=kwargs.x_j)
2025-08-26T20:19:54.1772695Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-08-26T20:19:54.1773103Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-08-26T20:19:54.1773470Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 211, in forward
2025-08-26T20:19:54.1773804Z     x = self.act(x)
2025-08-26T20:19:54.1773899Z 
2025-08-26T20:19:54.1773990Z cudagraph partition due to non gpu ops
2025-08-26T20:19:54.1774218Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:54.1774563Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:54.1774873Z     return mod(*inputs)
2025-08-26T20:19:54.1775217Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:19:54.1775579Z     x = self.convs[i](x, edge_index)
2025-08-26T20:19:54.1775818Z   File "/tmp/jenkins_pyg/tmp7fwoii7l.py", line 233, in forward
2025-08-26T20:19:54.1776079Z     return self.propagate(edge_index, x=x, size=None)
2025-08-26T20:19:54.1776346Z   File "/tmp/jenkins_pyg/tmp7fwoii7l.py", line 191, in propagate
2025-08-26T20:19:54.1776607Z     out = self.message(x_i=kwargs.x_i, x_j=kwargs.x_j)
2025-08-26T20:19:54.1776972Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-08-26T20:19:54.1777344Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-08-26T20:19:54.1777704Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 217, in forward
2025-08-26T20:19:54.1778036Z     x = self.lins[-1](x)
2025-08-26T20:19:54.1778366Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-08-26T20:19:54.1778726Z     return F.linear(x, self.weight, self.bias)
2025-08-26T20:19:54.1778864Z 
2025-08-26T20:19:54.1778955Z cudagraph partition due to non gpu ops
2025-08-26T20:19:54.1779191Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:54.1779531Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:54.1779880Z     return mod(*inputs)
2025-08-26T20:19:54.1780207Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:19:54.1780555Z     x = self.convs[i](x, edge_index)
2025-08-26T20:19:54.1780785Z   File "/tmp/jenkins_pyg/tmpzroqzw36.py", line 233, in forward
2025-08-26T20:19:54.1781041Z     return self.propagate(edge_index, x=x, size=None)
2025-08-26T20:19:54.1781302Z   File "/tmp/jenkins_pyg/tmpzroqzw36.py", line 191, in propagate
2025-08-26T20:19:54.1781562Z     out = self.message(x_i=kwargs.x_i, x_j=kwargs.x_j)
2025-08-26T20:19:54.1781924Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-08-26T20:19:54.1782280Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-08-26T20:19:54.1782430Z 
2025-08-26T20:19:54.1782511Z cudagraph partition due to non gpu ops
2025-08-26T20:19:54.1782745Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:54.1783087Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:54.1783391Z     return mod(*inputs)
2025-08-26T20:19:54.1783717Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:19:54.1784069Z     x = self.convs[i](x, edge_index)
2025-08-26T20:19:54.1784301Z   File "/tmp/jenkins_pyg/tmpzroqzw36.py", line 233, in forward
2025-08-26T20:19:54.1784549Z     return self.propagate(edge_index, x=x, size=None)
2025-08-26T20:19:54.1784811Z   File "/tmp/jenkins_pyg/tmpzroqzw36.py", line 191, in propagate
2025-08-26T20:19:54.1785071Z     out = self.message(x_i=kwargs.x_i, x_j=kwargs.x_j)
2025-08-26T20:19:54.1785435Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-08-26T20:19:54.1785832Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-08-26T20:19:54.1786184Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 211, in forward
2025-08-26T20:19:54.1786532Z     x = self.act(x)
2025-08-26T20:19:54.1786662Z 
2025-08-26T20:19:54.1786768Z cudagraph partition due to non gpu ops
2025-08-26T20:19:54.1787071Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:54.1787505Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:54.1787874Z     return mod(*inputs)
2025-08-26T20:19:54.1788259Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:19:54.1788673Z     x = self.convs[i](x, edge_index)
2025-08-26T20:19:54.1788945Z   File "/tmp/jenkins_pyg/tmpzroqzw36.py", line 233, in forward
2025-08-26T20:19:54.1789228Z     return self.propagate(edge_index, x=x, size=None)
2025-08-26T20:19:54.1789535Z   File "/tmp/jenkins_pyg/tmpzroqzw36.py", line 191, in propagate
2025-08-26T20:19:54.1789854Z     out = self.message(x_i=kwargs.x_i, x_j=kwargs.x_j)
2025-08-26T20:19:54.1790284Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-08-26T20:19:54.1790708Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-08-26T20:19:54.1791134Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 217, in forward
2025-08-26T20:19:54.1791525Z     x = self.lins[-1](x)
2025-08-26T20:19:54.1791906Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-08-26T20:19:54.1792326Z     return F.linear(x, self.weight, self.bias)
2025-08-26T20:19:54.1792491Z 
2025-08-26T20:19:54.1792585Z cudagraph partition due to non gpu ops
2025-08-26T20:19:54.1792860Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:54.1793274Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:54.1793707Z     return mod(*inputs)
2025-08-26T20:19:54.1794084Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:19:54.1794495Z     x = self.convs[i](x, edge_index)
2025-08-26T20:19:54.1794760Z   File "/tmp/jenkins_pyg/tmp30ynhwfg.py", line 233, in forward
2025-08-26T20:19:54.1795051Z     return self.propagate(edge_index, x=x, size=None)
2025-08-26T20:19:54.1795356Z   File "/tmp/jenkins_pyg/tmp30ynhwfg.py", line 191, in propagate
2025-08-26T20:19:54.1795653Z     out = self.message(x_i=kwargs.x_i, x_j=kwargs.x_j)
2025-08-26T20:19:54.1796075Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-08-26T20:19:54.1796506Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-08-26T20:19:54.1796680Z 
2025-08-26T20:19:54.1796779Z cudagraph partition due to non gpu ops
2025-08-26T20:19:54.1797041Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:54.1797453Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:54.1797813Z     return mod(*inputs)
2025-08-26T20:19:54.1798194Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:19:54.1798608Z     x = self.convs[i](x, edge_index)
2025-08-26T20:19:54.1798869Z   File "/tmp/jenkins_pyg/tmp30ynhwfg.py", line 233, in forward
2025-08-26T20:19:54.1799161Z     return self.propagate(edge_index, x=x, size=None)
2025-08-26T20:19:54.1799454Z   File "/tmp/jenkins_pyg/tmp30ynhwfg.py", line 191, in propagate
2025-08-26T20:19:54.1799749Z     out = self.message(x_i=kwargs.x_i, x_j=kwargs.x_j)
2025-08-26T20:19:54.1800162Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-08-26T20:19:54.1800640Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-08-26T20:19:54.1801055Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 211, in forward
2025-08-26T20:19:54.1801445Z     x = self.act(x)
2025-08-26T20:19:54.1801552Z 
2025-08-26T20:19:54.1801650Z cudagraph partition due to non gpu ops
2025-08-26T20:19:54.1801911Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:19:54.1802316Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:19:54.1802678Z     return mod(*inputs)
2025-08-26T20:19:54.1803051Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:19:54.1803471Z     x = self.convs[i](x, edge_index)
2025-08-26T20:19:54.1803740Z   File "/tmp/jenkins_pyg/tmp30ynhwfg.py", line 233, in forward
2025-08-26T20:19:54.1804033Z     return self.propagate(edge_index, x=x, size=None)
2025-08-26T20:19:54.1804342Z   File "/tmp/jenkins_pyg/tmp30ynhwfg.py", line 191, in propagate
2025-08-26T20:19:54.1804645Z     out = self.message(x_i=kwargs.x_i, x_j=kwargs.x_j)
2025-08-26T20:19:54.1805056Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-08-26T20:19:54.1805480Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-08-26T20:19:54.1805892Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 217, in forward
2025-08-26T20:19:54.1806279Z     x = self.lins[-1](x)
2025-08-26T20:19:54.1806641Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-08-26T20:19:54.1807057Z     return F.linear(x, self.weight, self.bias)
2025-08-26T20:19:54.1807225Z 
2025-08-26T20:19:54.1807317Z cudagraph partition due to non gpu ops
2025-08-26T20:20:00.8383479Z 
2025-08-26T20:20:00.9581845Z running benchmark:   0% 0/50 [00:00<?, ?it/s]
2025-08-26T20:20:01.0698616Z running benchmark:   8% 4/50 [00:00<00:01, 33.32it/s]
2025-08-26T20:20:01.1817781Z running benchmark:  16% 8/50 [00:00<00:01, 34.73it/s]
2025-08-26T20:20:01.2935892Z running benchmark:  24% 12/50 [00:00<00:01, 35.19it/s]
2025-08-26T20:20:01.4055554Z running benchmark:  32% 16/50 [00:00<00:00, 35.41it/s]
2025-08-26T20:20:01.5228269Z running benchmark:  40% 20/50 [00:00<00:00, 35.52it/s]
2025-08-26T20:20:01.6351565Z running benchmark:  48% 24/50 [00:00<00:00, 35.03it/s]
2025-08-26T20:20:01.7466785Z running benchmark:  56% 28/50 [00:00<00:00, 35.22it/s]
2025-08-26T20:20:01.8583420Z running benchmark:  64% 32/50 [00:00<00:00, 35.42it/s]
2025-08-26T20:20:01.9701792Z running benchmark:  72% 36/50 [00:01<00:00, 35.54it/s]
2025-08-26T20:20:02.0825861Z running benchmark:  80% 40/50 [00:01<00:00, 35.61it/s]
2025-08-26T20:20:02.1944426Z running benchmark:  88% 44/50 [00:01<00:00, 35.61it/s]
2025-08-26T20:20:02.2504977Z running benchmark:  96% 48/50 [00:01<00:00, 35.66it/s]
2025-08-26T20:20:02.2505527Z running benchmark: 100% 50/50 [00:01<00:00, 35.40it/s]
2025-08-26T20:20:02.3072333Z 1.471x
2025-08-26T20:20:02.3072714Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:20:03.2612509Z + cat /var/lib/jenkins/workspace/test/test-reports/inductor_inference_basic_gnn_edgecnn_inductor_float32_dynamic_cpu_smoketest.csv
2025-08-26T20:20:03.2633652Z 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
2025-08-26T20:20:03.2634343Z cpu,basic_gnn_edgecnn,1,1.470621,11.154912,7.705873,0.955386,135.369114,141.690470,55,1,0,0,0,0,1
2025-08-26T20:20:03.2635262Z + 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
2025-08-26T20:20:03.5130619Z basic_gnn_edgecnn                  1.470621
2025-08-26T20:20:03.5485014Z + IFS=,
2025-08-26T20:20:03.5485292Z + read -r -a model_cfg
2025-08-26T20:20:03.5485551Z + local model_name=llama_v2_7b_16h
2025-08-26T20:20:03.5485793Z + local data_type=float32
2025-08-26T20:20:03.5486009Z + local speedup_target=1.23234331
2025-08-26T20:20:03.5486235Z + local backend=inductor
2025-08-26T20:20:03.5486447Z + [[ default == \c\p\p ]]
2025-08-26T20:20:03.5486663Z + unset TORCHINDUCTOR_CPP_WRAPPER
2025-08-26T20:20:03.5487189Z + local output_name=/var/lib/jenkins/workspace/test/test-reports/inductor_inference_llama_v2_7b_16h_inductor_float32_dynamic_cpu_smoketest.csv
2025-08-26T20:20:03.5487706Z + [[ dynamic == \d\y\n\a\m\i\c ]]
2025-08-26T20:20:03.5488673Z + 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
2025-08-26T20:20:05.5917822Z 
2025-08-26T20:20:34.9572228Z loading model: 0it [00:00, ?it/s]
2025-08-26T20:20:34.9572557Z loading model: 0it [00:29, ?it/s]
2025-08-26T20:20:34.9583749Z cpu  eval  llama_v2_7b_16h                    
2025-08-26T20:20:41.9141230Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:41.9141762Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 363, in forward
2025-08-26T20:20:41.9142204Z     inputs_embeds: torch.Tensor = self.embed_tokens(input_ids)
2025-08-26T20:20:41.9142376Z 
2025-08-26T20:21:00.0273562Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0274134Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 387, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0274646Z     position_embeddings = self.rotary_emb(hidden_states, position_ids)
2025-08-26T20:21:00.0275126Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_contextlib.py", line 120, in decorate_context
2025-08-26T20:21:00.0275887Z     return func(*args, **kwargs)
2025-08-26T20:21:00.0276280Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_rope_utils.py", line 87, in wrapper
2025-08-26T20:21:00.0276640Z     return rope_forward(self, x, position_ids)
2025-08-26T20:21:00.0277029Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 98, in forward
2025-08-26T20:21:00.0277502Z     freqs = (inv_freq_expanded.float() @ position_ids_expanded.float()).transpose(1, 2)
2025-08-26T20:21:00.0277717Z 
2025-08-26T20:21:00.0277819Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0278038Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0278233Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0278440Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0278654Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0278868Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0279070Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0279272Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0279469Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0279671Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0279998Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0280192Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0280395Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0280598Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0280801Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0280996Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0281233Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0281708Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0282289Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0282650Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0283013Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0283411Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0283805Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0284183Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 232, in forward
2025-08-26T20:21:00.0284634Z     query_states = self.q_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-26T20:21:00.0284843Z 
2025-08-26T20:21:00.0284948Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0285416Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 387, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0285923Z     position_embeddings = self.rotary_emb(hidden_states, position_ids)
2025-08-26T20:21:00.0286343Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_contextlib.py", line 120, in decorate_context
2025-08-26T20:21:00.0286697Z     return func(*args, **kwargs)
2025-08-26T20:21:00.0287039Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_rope_utils.py", line 87, in wrapper
2025-08-26T20:21:00.0287408Z     return rope_forward(self, x, position_ids)
2025-08-26T20:21:00.0287805Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 98, in forward
2025-08-26T20:21:00.0288271Z     freqs = (inv_freq_expanded.float() @ position_ids_expanded.float()).transpose(1, 2)
2025-08-26T20:21:00.0288482Z 
2025-08-26T20:21:00.0288586Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0289104Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0289558Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0289912Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0290277Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0290664Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0291061Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0291436Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-26T20:21:00.0291904Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-26T20:21:00.0292415Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 135, in apply_rotary_pos_emb
2025-08-26T20:21:00.0292847Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-08-26T20:21:00.0293253Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-26T20:21:00.0293651Z     return torch.cat((-x2, x1), dim=-1)
2025-08-26T20:21:00.0293781Z 
2025-08-26T20:21:00.0293870Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0294104Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0294569Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0295023Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0295369Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0295739Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0296159Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0296529Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0296902Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-26T20:21:00.0297352Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-26T20:21:00.0297837Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 135, in apply_rotary_pos_emb
2025-08-26T20:21:00.0298264Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-08-26T20:21:00.0298651Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-26T20:21:00.0299043Z     return torch.cat((-x2, x1), dim=-1)
2025-08-26T20:21:00.0299175Z 
2025-08-26T20:21:00.0299281Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0299751Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0300193Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0300526Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0300877Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0301254Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0301645Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0302001Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 233, in forward
2025-08-26T20:21:00.0302441Z     key_states = self.k_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-26T20:21:00.0302643Z 
2025-08-26T20:21:00.0302746Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0304778Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0305245Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0305585Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0305952Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0306342Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0306728Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0307106Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-26T20:21:00.0307565Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-26T20:21:00.0308071Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-26T20:21:00.0308507Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-26T20:21:00.0308907Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-26T20:21:00.0309300Z     return torch.cat((-x2, x1), dim=-1)
2025-08-26T20:21:00.0309430Z 
2025-08-26T20:21:00.0309507Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0309746Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0310216Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0310661Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0310997Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0311393Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0311794Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0312177Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0312550Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-26T20:21:00.0313004Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-26T20:21:00.0313491Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-26T20:21:00.0313924Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-26T20:21:00.0314318Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-26T20:21:00.0314711Z     return torch.cat((-x2, x1), dim=-1)
2025-08-26T20:21:00.0314837Z 
2025-08-26T20:21:00.0314940Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0315404Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0315840Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0316191Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0316549Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0316939Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0317336Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0317731Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-26T20:21:00.0318195Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-26T20:21:00.0318801Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-26T20:21:00.0319244Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-26T20:21:00.0319392Z 
2025-08-26T20:21:00.0319494Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0319958Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0320400Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0320744Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0321089Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0321477Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0321862Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0322245Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 234, in forward
2025-08-26T20:21:00.0322697Z     value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-26T20:21:00.0322894Z 
2025-08-26T20:21:00.0322976Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0323185Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0323390Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0323592Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0323819Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0324285Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0324723Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0325124Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0325478Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0325846Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0326227Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0326595Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 248, in forward
2025-08-26T20:21:00.0327007Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:21:00.0327445Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T20:21:00.0327907Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:21:00.0328095Z 
2025-08-26T20:21:00.0328214Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0328674Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0329118Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0329452Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0329799Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0330174Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0330551Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0330925Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 248, in forward
2025-08-26T20:21:00.0331321Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:21:00.0331779Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T20:21:00.0332239Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T20:21:00.0332396Z 
2025-08-26T20:21:00.0332507Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0332973Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0333405Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0333746Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0334107Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0334489Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0334876Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0335252Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 260, in forward
2025-08-26T20:21:00.0335642Z     attn_output = self.o_proj(attn_output)
2025-08-26T20:21:00.0335784Z 
2025-08-26T20:21:00.0335885Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0336350Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0336793Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0337135Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0337510Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0337889Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-26T20:21:00.0338269Z     hidden_states = self.mlp(hidden_states)
2025-08-26T20:21:00.0338684Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-26T20:21:00.0339118Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-26T20:21:00.0339317Z 
2025-08-26T20:21:00.0339418Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0339877Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0340310Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0340635Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0340991Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0341365Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-26T20:21:00.0341745Z     hidden_states = self.mlp(hidden_states)
2025-08-26T20:21:00.0342127Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-26T20:21:00.0342556Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-26T20:21:00.0342755Z 
2025-08-26T20:21:00.0342853Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0343313Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0343745Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0344082Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0344425Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0344801Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-26T20:21:00.0345186Z     hidden_states = self.mlp(hidden_states)
2025-08-26T20:21:00.0345592Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-26T20:21:00.0346032Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-26T20:21:00.0346220Z 
2025-08-26T20:21:00.0346319Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0346775Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0347207Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0347540Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0347888Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0348253Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-26T20:21:00.0348635Z     hidden_states = self.mlp(hidden_states)
2025-08-26T20:21:00.0349011Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-26T20:21:00.0349445Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-26T20:21:00.0349634Z 
2025-08-26T20:21:00.0349743Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0350193Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0350625Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0350960Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0351317Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0351717Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0352098Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0352473Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 232, in forward
2025-08-26T20:21:00.0352916Z     query_states = self.q_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-26T20:21:00.0353108Z 
2025-08-26T20:21:00.0353218Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0353677Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0354113Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0354452Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0354809Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0355192Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0355564Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0355939Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-26T20:21:00.0356396Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-26T20:21:00.0356886Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 135, in apply_rotary_pos_emb
2025-08-26T20:21:00.0357309Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-08-26T20:21:00.0357696Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-26T20:21:00.0358087Z     return torch.cat((-x2, x1), dim=-1)
2025-08-26T20:21:00.0358226Z 
2025-08-26T20:21:00.0358306Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0358572Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0359029Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0359451Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0359795Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0360145Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0360520Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0360883Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0361253Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-26T20:21:00.0361705Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-26T20:21:00.0362188Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 135, in apply_rotary_pos_emb
2025-08-26T20:21:00.0362606Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-08-26T20:21:00.0362992Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-26T20:21:00.0363378Z     return torch.cat((-x2, x1), dim=-1)
2025-08-26T20:21:00.0363511Z 
2025-08-26T20:21:00.0363613Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0364071Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0364502Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0364832Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0365215Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0365592Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0366056Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0366429Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 233, in forward
2025-08-26T20:21:00.0366856Z     key_states = self.k_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-26T20:21:00.0367054Z 
2025-08-26T20:21:00.0367155Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0367612Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0368050Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0368387Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0368738Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0369114Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0369485Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0369853Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-26T20:21:00.0370296Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-26T20:21:00.0370782Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-26T20:21:00.0371205Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-26T20:21:00.0371601Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-26T20:21:00.0371991Z     return torch.cat((-x2, x1), dim=-1)
2025-08-26T20:21:00.0372194Z 
2025-08-26T20:21:00.0372275Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0372512Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0372995Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0373449Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0373799Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0374156Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0374548Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0374935Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0375317Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-26T20:21:00.0375785Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-26T20:21:00.0376277Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-26T20:21:00.0376711Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-26T20:21:00.0377112Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-26T20:21:00.0377509Z     return torch.cat((-x2, x1), dim=-1)
2025-08-26T20:21:00.0377639Z 
2025-08-26T20:21:00.0377751Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0378220Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0378710Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0379054Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0379405Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0379774Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0380152Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0380524Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-26T20:21:00.0380972Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-26T20:21:00.0381460Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-26T20:21:00.0381871Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-26T20:21:00.0382017Z 
2025-08-26T20:21:00.0382119Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0382580Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0383017Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0383362Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0383709Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0384084Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0384459Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0384830Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 234, in forward
2025-08-26T20:21:00.0385270Z     value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-26T20:21:00.0385465Z 
2025-08-26T20:21:00.0385544Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0385784Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0385995Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0386205Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0386432Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0386903Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0387343Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0387688Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0388044Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0388417Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0388802Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0389182Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 248, in forward
2025-08-26T20:21:00.0389593Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:21:00.0390034Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T20:21:00.0390500Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:21:00.0390688Z 
2025-08-26T20:21:00.0390793Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0391261Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0391698Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0392042Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0392420Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0392797Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0393171Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0393540Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 248, in forward
2025-08-26T20:21:00.0393930Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:21:00.0394356Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T20:21:00.0394798Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T20:21:00.0394952Z 
2025-08-26T20:21:00.0395065Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0395525Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0395958Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0396292Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0396646Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0397027Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0397402Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0397765Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 260, in forward
2025-08-26T20:21:00.0398145Z     attn_output = self.o_proj(attn_output)
2025-08-26T20:21:00.0398285Z 
2025-08-26T20:21:00.0398386Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0398845Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0399309Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0399639Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0399991Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0400366Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-26T20:21:00.0400744Z     hidden_states = self.mlp(hidden_states)
2025-08-26T20:21:00.0401116Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-26T20:21:00.0401557Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-26T20:21:00.0401755Z 
2025-08-26T20:21:00.0401857Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0402323Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0402755Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0403078Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0403432Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0403807Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-26T20:21:00.0404193Z     hidden_states = self.mlp(hidden_states)
2025-08-26T20:21:00.0404578Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-26T20:21:00.0405010Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-26T20:21:00.0405207Z 
2025-08-26T20:21:00.0405308Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0406490Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0406937Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0407282Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0407632Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0408022Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-26T20:21:00.0408417Z     hidden_states = self.mlp(hidden_states)
2025-08-26T20:21:00.0408801Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-26T20:21:00.0409242Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-26T20:21:00.0409436Z 
2025-08-26T20:21:00.0409538Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0410000Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0410433Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0410771Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0411123Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0411494Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-26T20:21:00.0411879Z     hidden_states = self.mlp(hidden_states)
2025-08-26T20:21:00.0412258Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-26T20:21:00.0412696Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-26T20:21:00.0412890Z 
2025-08-26T20:21:00.0413029Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0413483Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0413915Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0414251Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0414607Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0414972Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 305, in forward
2025-08-26T20:21:00.0415361Z     hidden_states = residual + hidden_states
2025-08-26T20:21:00.0415500Z 
2025-08-26T20:21:00.0415597Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0416057Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0416492Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0416820Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0417169Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0417542Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0417916Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0418281Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 232, in forward
2025-08-26T20:21:00.0418709Z     query_states = self.q_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-26T20:21:00.0418904Z 
2025-08-26T20:21:00.0419005Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0419463Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0419929Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0420271Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0420620Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0421002Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0421384Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0421760Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-26T20:21:00.0422221Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-26T20:21:00.0422707Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 135, in apply_rotary_pos_emb
2025-08-26T20:21:00.0423144Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-08-26T20:21:00.0423551Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-26T20:21:00.0423949Z     return torch.cat((-x2, x1), dim=-1)
2025-08-26T20:21:00.0424080Z 
2025-08-26T20:21:00.0424161Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0424402Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0424873Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0425323Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0425676Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0426028Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0426456Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0426833Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0427203Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-26T20:21:00.0427654Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-26T20:21:00.0428128Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 135, in apply_rotary_pos_emb
2025-08-26T20:21:00.0428552Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-08-26T20:21:00.0428946Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-26T20:21:00.0429333Z     return torch.cat((-x2, x1), dim=-1)
2025-08-26T20:21:00.0429462Z 
2025-08-26T20:21:00.0429576Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0430034Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0430471Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0430810Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0431163Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0431531Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0431904Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0432273Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 233, in forward
2025-08-26T20:21:00.0432712Z     key_states = self.k_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-26T20:21:00.0432929Z 
2025-08-26T20:21:00.0433040Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0433490Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0433924Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0434258Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0434608Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0434976Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0435340Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0435709Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-26T20:21:00.0436158Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-26T20:21:00.0436644Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-26T20:21:00.0437063Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-26T20:21:00.0437448Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-26T20:21:00.0437831Z     return torch.cat((-x2, x1), dim=-1)
2025-08-26T20:21:00.0437964Z 
2025-08-26T20:21:00.0438042Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0438274Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0438729Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0439156Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0439491Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0439876Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0440262Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0440639Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0441024Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-26T20:21:00.0441493Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-26T20:21:00.0441993Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-26T20:21:00.0442428Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-26T20:21:00.0442830Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-26T20:21:00.0443237Z     return torch.cat((-x2, x1), dim=-1)
2025-08-26T20:21:00.0443377Z 
2025-08-26T20:21:00.0443487Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0443966Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0444415Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0444758Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0445123Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0445510Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0445896Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0446278Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-26T20:21:00.0446748Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-26T20:21:00.0447236Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-26T20:21:00.0447662Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-26T20:21:00.0447795Z 
2025-08-26T20:21:00.0447908Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0448370Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0448799Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0449140Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0449492Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0449864Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0450247Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0450610Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 234, in forward
2025-08-26T20:21:00.0451048Z     value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-26T20:21:00.0451243Z 
2025-08-26T20:21:00.0451321Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0451529Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0451723Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0451924Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0452150Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0452609Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0453047Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0453408Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0453761Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0454136Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0454509Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0454864Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 248, in forward
2025-08-26T20:21:00.0455261Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:21:00.0455690Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T20:21:00.0456157Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:21:00.0456335Z 
2025-08-26T20:21:00.0456445Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0456900Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0457336Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0457677Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0458033Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0458410Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0458777Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0459152Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 248, in forward
2025-08-26T20:21:00.0459551Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:21:00.0459983Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T20:21:00.0460459Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T20:21:00.0460614Z 
2025-08-26T20:21:00.0460715Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0461178Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0461615Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0461952Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0462306Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0462675Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0463048Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0463423Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 260, in forward
2025-08-26T20:21:00.0463804Z     attn_output = self.o_proj(attn_output)
2025-08-26T20:21:00.0463936Z 
2025-08-26T20:21:00.0464039Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0464497Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0464928Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0465267Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0465620Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0466048Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-26T20:21:00.0466431Z     hidden_states = self.mlp(hidden_states)
2025-08-26T20:21:00.0466867Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-26T20:21:00.0467311Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-26T20:21:00.0467501Z 
2025-08-26T20:21:00.0467613Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0468065Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0468495Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0468832Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0469183Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0469558Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-26T20:21:00.0469935Z     hidden_states = self.mlp(hidden_states)
2025-08-26T20:21:00.0470313Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-26T20:21:00.0470751Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-26T20:21:00.0470937Z 
2025-08-26T20:21:00.0471045Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0471502Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0471914Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0472239Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0472580Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0472939Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-26T20:21:00.0473366Z     hidden_states = self.mlp(hidden_states)
2025-08-26T20:21:00.0473736Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-26T20:21:00.0474164Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-26T20:21:00.0474349Z 
2025-08-26T20:21:00.0474456Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0474902Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0475320Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0475651Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0475993Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0476362Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-26T20:21:00.0476743Z     hidden_states = self.mlp(hidden_states)
2025-08-26T20:21:00.0477110Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-26T20:21:00.0477544Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-26T20:21:00.0477746Z 
2025-08-26T20:21:00.0477847Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0478301Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0478723Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0479042Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0479392Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0479789Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0480154Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0480518Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 232, in forward
2025-08-26T20:21:00.0480945Z     query_states = self.q_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-26T20:21:00.0481138Z 
2025-08-26T20:21:00.0481237Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0481685Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0482108Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0482438Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0482774Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0483145Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0483516Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0483876Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-26T20:21:00.0484312Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-26T20:21:00.0484782Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 135, in apply_rotary_pos_emb
2025-08-26T20:21:00.0485190Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-08-26T20:21:00.0485574Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-26T20:21:00.0485953Z     return torch.cat((-x2, x1), dim=-1)
2025-08-26T20:21:00.0486108Z 
2025-08-26T20:21:00.0486185Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0486413Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0486857Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0487283Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0487614Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0487949Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0488316Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0488677Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0489038Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-26T20:21:00.0489482Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-26T20:21:00.0489949Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 135, in apply_rotary_pos_emb
2025-08-26T20:21:00.0490357Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-08-26T20:21:00.0490742Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-26T20:21:00.0491120Z     return torch.cat((-x2, x1), dim=-1)
2025-08-26T20:21:00.0491244Z 
2025-08-26T20:21:00.0491355Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0491794Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0492217Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0492546Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0492893Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0493313Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0493684Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0494045Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 233, in forward
2025-08-26T20:21:00.0494473Z     key_states = self.k_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-26T20:21:00.0494656Z 
2025-08-26T20:21:00.0494765Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0495203Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0495626Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0495959Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0496311Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0496676Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0497033Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0497396Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-26T20:21:00.0497835Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-26T20:21:00.0498307Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-26T20:21:00.0498716Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-26T20:21:00.0499092Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-26T20:21:00.0499511Z     return torch.cat((-x2, x1), dim=-1)
2025-08-26T20:21:00.0499645Z 
2025-08-26T20:21:00.0500122Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0500350Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0500805Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0501222Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0501551Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0501893Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0502258Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0502615Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0502976Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-26T20:21:00.0503419Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-26T20:21:00.0503891Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-26T20:21:00.0504296Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-26T20:21:00.0504669Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-26T20:21:00.0505041Z     return torch.cat((-x2, x1), dim=-1)
2025-08-26T20:21:00.0505170Z 
2025-08-26T20:21:00.0505270Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0505722Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0506149Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0506502Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0506849Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0507215Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0507581Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0507941Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-26T20:21:00.0508372Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-26T20:21:00.0508848Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-26T20:21:00.0509261Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-26T20:21:00.0509396Z 
2025-08-26T20:21:00.0509504Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0509957Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0510372Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0510707Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0511051Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0511419Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0511793Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0512145Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 234, in forward
2025-08-26T20:21:00.0512574Z     value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-26T20:21:00.0512801Z 
2025-08-26T20:21:00.0512877Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0513084Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0513275Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0513477Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0513702Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0514151Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0514569Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0514891Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0515237Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0515602Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0515971Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0516324Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 248, in forward
2025-08-26T20:21:00.0516716Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:21:00.0517132Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T20:21:00.0517581Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:21:00.0517751Z 
2025-08-26T20:21:00.0517858Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0518296Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0518718Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0519045Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0519390Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0519783Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0520140Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0520500Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 248, in forward
2025-08-26T20:21:00.0520881Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:21:00.0521295Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T20:21:00.0521726Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T20:21:00.0521877Z 
2025-08-26T20:21:00.0521975Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0522423Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0522852Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0523184Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0523526Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0523885Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0524252Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0524613Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 260, in forward
2025-08-26T20:21:00.0524983Z     attn_output = self.o_proj(attn_output)
2025-08-26T20:21:00.0525110Z 
2025-08-26T20:21:00.0525211Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0525654Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0526126Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0526456Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0526799Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0527158Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-26T20:21:00.0527532Z     hidden_states = self.mlp(hidden_states)
2025-08-26T20:21:00.0527900Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-26T20:21:00.0528332Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-26T20:21:00.0528517Z 
2025-08-26T20:21:00.0528624Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0529068Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0529491Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0529820Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0530161Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0530524Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-26T20:21:00.0530892Z     hidden_states = self.mlp(hidden_states)
2025-08-26T20:21:00.0531258Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-26T20:21:00.0531689Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-26T20:21:00.0531871Z 
2025-08-26T20:21:00.0531978Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0532500Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0532916Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0533245Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0533588Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0533953Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-26T20:21:00.0534318Z     hidden_states = self.mlp(hidden_states)
2025-08-26T20:21:00.0534689Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-26T20:21:00.0535118Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-26T20:21:00.0535313Z 
2025-08-26T20:21:00.0535411Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0535862Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0536274Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0536610Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0536957Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0537325Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-26T20:21:00.0537696Z     hidden_states = self.mlp(hidden_states)
2025-08-26T20:21:00.0538053Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-26T20:21:00.0538480Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-26T20:21:00.0538699Z 
2025-08-26T20:21:00.0538804Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0539263Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0539690Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0540018Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0540367Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0540741Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 305, in forward
2025-08-26T20:21:00.0541121Z     hidden_states = residual + hidden_states
2025-08-26T20:21:00.0541251Z 
2025-08-26T20:21:00.0541358Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0541805Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0542238Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0542574Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0542923Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0543295Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0543663Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0544032Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 232, in forward
2025-08-26T20:21:00.0544469Z     query_states = self.q_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-26T20:21:00.0544659Z 
2025-08-26T20:21:00.0544772Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0545262Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0545688Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0546020Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0546366Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0546729Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0547085Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0547445Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-26T20:21:00.0547885Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-26T20:21:00.0548359Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 135, in apply_rotary_pos_emb
2025-08-26T20:21:00.0548776Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-08-26T20:21:00.0549157Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-26T20:21:00.0549538Z     return torch.cat((-x2, x1), dim=-1)
2025-08-26T20:21:00.0549669Z 
2025-08-26T20:21:00.0549746Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0549971Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0550423Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0550837Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0551166Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0551513Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0551913Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0552278Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0552632Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-26T20:21:00.0553076Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-26T20:21:00.0553548Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 135, in apply_rotary_pos_emb
2025-08-26T20:21:00.0553957Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-08-26T20:21:00.0554331Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-26T20:21:00.0554710Z     return torch.cat((-x2, x1), dim=-1)
2025-08-26T20:21:00.0554842Z 
2025-08-26T20:21:00.0554944Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0555394Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0555818Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0556141Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0556482Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0556846Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0557212Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0557572Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 233, in forward
2025-08-26T20:21:00.0557989Z     key_states = self.k_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-26T20:21:00.0558186Z 
2025-08-26T20:21:00.0558287Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0558768Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0559192Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0559521Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0559853Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0560216Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0560582Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0560941Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-26T20:21:00.0561384Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-26T20:21:00.0561854Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-26T20:21:00.0562267Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-26T20:21:00.0562651Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-26T20:21:00.0563030Z     return torch.cat((-x2, x1), dim=-1)
2025-08-26T20:21:00.0563153Z 
2025-08-26T20:21:00.0563238Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0563457Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0563906Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0564326Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0564655Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0565022Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0565388Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0565802Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0566177Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-26T20:21:00.0566705Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-26T20:21:00.0567169Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-26T20:21:00.0567580Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-26T20:21:00.0567976Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-26T20:21:00.0568369Z     return torch.cat((-x2, x1), dim=-1)
2025-08-26T20:21:00.0568496Z 
2025-08-26T20:21:00.0568615Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0569081Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0569521Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0569862Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0570217Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0570594Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0570961Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0571330Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-26T20:21:00.0571781Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-26T20:21:00.0572333Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-26T20:21:00.0572749Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-26T20:21:00.0572895Z 
2025-08-26T20:21:00.0572999Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0573463Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0573900Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0574240Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0574587Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0574962Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0575345Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0575722Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 234, in forward
2025-08-26T20:21:00.0576167Z     value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-26T20:21:00.0576361Z 
2025-08-26T20:21:00.0576442Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0576655Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0576864Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0577072Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0577293Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0577762Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0578241Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0578587Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0578942Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0579311Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0579696Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0580059Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 248, in forward
2025-08-26T20:21:00.0580450Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:21:00.0580872Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T20:21:00.0581313Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:21:00.0581492Z 
2025-08-26T20:21:00.0581597Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0582050Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0582477Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0582805Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0583139Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0583501Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0583865Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0584228Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 248, in forward
2025-08-26T20:21:00.0584605Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:21:00.0585053Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T20:21:00.0585485Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T20:21:00.0585634Z 
2025-08-26T20:21:00.0585744Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0586192Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0586602Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0586930Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0587274Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0587638Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0588002Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0588357Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 260, in forward
2025-08-26T20:21:00.0588725Z     attn_output = self.o_proj(attn_output)
2025-08-26T20:21:00.0588857Z 
2025-08-26T20:21:00.0588955Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0589400Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0589820Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0590140Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0590479Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0590838Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-26T20:21:00.0591207Z     hidden_states = self.mlp(hidden_states)
2025-08-26T20:21:00.0591602Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-26T20:21:00.0592032Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-26T20:21:00.0592222Z 
2025-08-26T20:21:00.0592322Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0592769Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0593191Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0593509Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0593847Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0594209Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-26T20:21:00.0594586Z     hidden_states = self.mlp(hidden_states)
2025-08-26T20:21:00.0594952Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-26T20:21:00.0595371Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-26T20:21:00.0595562Z 
2025-08-26T20:21:00.0595662Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0596111Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0596530Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0596858Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0597192Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0597555Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-26T20:21:00.0597924Z     hidden_states = self.mlp(hidden_states)
2025-08-26T20:21:00.0598321Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-26T20:21:00.0598750Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-26T20:21:00.0598934Z 
2025-08-26T20:21:00.0599030Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0599481Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0599901Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0600226Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0600570Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0600924Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-26T20:21:00.0601302Z     hidden_states = self.mlp(hidden_states)
2025-08-26T20:21:00.0601668Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-26T20:21:00.0602092Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-26T20:21:00.0602274Z 
2025-08-26T20:21:00.0602380Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0602821Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0603239Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0603562Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0603906Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0604297Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0604663Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0605019Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 232, in forward
2025-08-26T20:21:00.0605445Z     query_states = self.q_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-26T20:21:00.0605629Z 
2025-08-26T20:21:00.0605735Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0606172Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0606594Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0606920Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0607262Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0607625Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0607978Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0608335Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-26T20:21:00.0608772Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-26T20:21:00.0609241Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 135, in apply_rotary_pos_emb
2025-08-26T20:21:00.0609647Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-08-26T20:21:00.0610019Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-26T20:21:00.0610396Z     return torch.cat((-x2, x1), dim=-1)
2025-08-26T20:21:00.0610529Z 
2025-08-26T20:21:00.0610605Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0610865Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0611314Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0611727Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0612056Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0612400Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0612767Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0613131Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0613500Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-26T20:21:00.0613942Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-26T20:21:00.0614415Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 135, in apply_rotary_pos_emb
2025-08-26T20:21:00.0614823Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-08-26T20:21:00.0615194Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-26T20:21:00.0615573Z     return torch.cat((-x2, x1), dim=-1)
2025-08-26T20:21:00.0615702Z 
2025-08-26T20:21:00.0615802Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0616250Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0616670Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0616989Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0617369Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0617736Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0618101Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0618459Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 233, in forward
2025-08-26T20:21:00.0618876Z     key_states = self.k_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-26T20:21:00.0619065Z 
2025-08-26T20:21:00.0619166Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0619614Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0620041Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0620369Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0620709Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0621073Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0621439Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0621796Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-26T20:21:00.0622228Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-26T20:21:00.0622696Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-26T20:21:00.0623105Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-26T20:21:00.0623487Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-26T20:21:00.0623869Z     return torch.cat((-x2, x1), dim=-1)
2025-08-26T20:21:00.0624040Z 
2025-08-26T20:21:00.0624120Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0624348Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0624799Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0625225Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0625561Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0625897Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0626268Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0626638Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0627002Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-26T20:21:00.0627446Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-26T20:21:00.0627910Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-26T20:21:00.0628326Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-26T20:21:00.0628716Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-26T20:21:00.0629095Z     return torch.cat((-x2, x1), dim=-1)
2025-08-26T20:21:00.0629218Z 
2025-08-26T20:21:00.0629328Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0629771Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0630232Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0630566Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0630911Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0631270Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0631635Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0631995Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-26T20:21:00.0632437Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-26T20:21:00.0632909Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-26T20:21:00.0633314Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-26T20:21:00.0633458Z 
2025-08-26T20:21:00.0633558Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0634009Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0634435Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0634764Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0635102Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0635472Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0635840Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0636201Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 234, in forward
2025-08-26T20:21:00.0636634Z     value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-26T20:21:00.0636823Z 
2025-08-26T20:21:00.0636899Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0637136Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0637341Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0637538Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0637754Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0638201Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0638625Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0638955Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0639295Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0639655Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0640019Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0640376Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 248, in forward
2025-08-26T20:21:00.0640766Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:21:00.0641184Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T20:21:00.0641624Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:21:00.0641802Z 
2025-08-26T20:21:00.0641904Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0642347Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0642775Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0643102Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0643473Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0643843Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0644209Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0644570Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 248, in forward
2025-08-26T20:21:00.0644950Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:21:00.0645369Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T20:21:00.0645798Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T20:21:00.0645949Z 
2025-08-26T20:21:00.0646058Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0646505Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0646924Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0647256Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0647600Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0647969Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0648334Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0648684Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 260, in forward
2025-08-26T20:21:00.0649051Z     attn_output = self.o_proj(attn_output)
2025-08-26T20:21:00.0649186Z 
2025-08-26T20:21:00.0649285Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0649730Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0650184Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0650512Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0650865Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0651232Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-26T20:21:00.0651604Z     hidden_states = self.mlp(hidden_states)
2025-08-26T20:21:00.0651961Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-26T20:21:00.0652389Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-26T20:21:00.0652581Z 
2025-08-26T20:21:00.0652677Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0653133Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0653552Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0653869Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0654208Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0654573Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-26T20:21:00.0654938Z     hidden_states = self.mlp(hidden_states)
2025-08-26T20:21:00.0655303Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-26T20:21:00.0655720Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-26T20:21:00.0655912Z 
2025-08-26T20:21:00.0656010Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0656485Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0656903Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0657228Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0657562Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0657925Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-26T20:21:00.0658291Z     hidden_states = self.mlp(hidden_states)
2025-08-26T20:21:00.0658655Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-26T20:21:00.0659081Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-26T20:21:00.0659265Z 
2025-08-26T20:21:00.0659361Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0659809Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0660235Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0660562Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0660902Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0661257Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-26T20:21:00.0661624Z     hidden_states = self.mlp(hidden_states)
2025-08-26T20:21:00.0661990Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-26T20:21:00.0662124Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-26T20:21:00.0662129Z 
2025-08-26T20:21:00.0662265Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0662562Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0662642Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0662850Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0662927Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0663168Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 305, in forward
2025-08-26T20:21:00.0663248Z     hidden_states = residual + hidden_states
2025-08-26T20:21:00.0663250Z 
2025-08-26T20:21:00.0663356Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0663650Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0663733Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0663938Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0664014Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0664257Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0664329Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0664568Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 232, in forward
2025-08-26T20:21:00.0664705Z     query_states = self.q_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-26T20:21:00.0664708Z 
2025-08-26T20:21:00.0664805Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0665106Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0665214Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0665425Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0665503Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0665792Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0665868Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0666107Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-26T20:21:00.0666267Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-26T20:21:00.0666553Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 135, in apply_rotary_pos_emb
2025-08-26T20:21:00.0666650Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-08-26T20:21:00.0666899Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-26T20:21:00.0666973Z     return torch.cat((-x2, x1), dim=-1)
2025-08-26T20:21:00.0666983Z 
2025-08-26T20:21:00.0667063Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0667165Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0667472Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0667543Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0667761Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0667840Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0668135Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0668218Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0668459Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-26T20:21:00.0668617Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-26T20:21:00.0668892Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 135, in apply_rotary_pos_emb
2025-08-26T20:21:00.0668979Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-08-26T20:21:00.0669242Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-26T20:21:00.0669315Z     return torch.cat((-x2, x1), dim=-1)
2025-08-26T20:21:00.0669318Z 
2025-08-26T20:21:00.0669428Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0669730Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0669811Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0670024Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0670100Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0670346Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0670419Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0670665Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 233, in forward
2025-08-26T20:21:00.0670800Z     key_states = self.k_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-26T20:21:00.0670849Z 
2025-08-26T20:21:00.0670957Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0671258Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0671327Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0671548Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0671625Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0671874Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0671948Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0672184Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-26T20:21:00.0672340Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-26T20:21:00.0672619Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-26T20:21:00.0672713Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-26T20:21:00.0672964Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-26T20:21:00.0673047Z     return torch.cat((-x2, x1), dim=-1)
2025-08-26T20:21:00.0673050Z 
2025-08-26T20:21:00.0673126Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0673223Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0673527Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0673597Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0673815Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0673927Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0674169Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0674247Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0674485Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-26T20:21:00.0674642Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-26T20:21:00.0674913Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-26T20:21:00.0675006Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-26T20:21:00.0675257Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-26T20:21:00.0675332Z     return torch.cat((-x2, x1), dim=-1)
2025-08-26T20:21:00.0675336Z 
2025-08-26T20:21:00.0675449Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0675749Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0675831Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0676041Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0676119Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0676366Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0676439Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0676688Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-26T20:21:00.0676887Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-26T20:21:00.0677173Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-26T20:21:00.0677258Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-26T20:21:00.0677261Z 
2025-08-26T20:21:00.0677363Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0677673Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0677743Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0677964Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0678043Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0678292Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0678370Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0678610Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 234, in forward
2025-08-26T20:21:00.0678764Z     value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-26T20:21:00.0678769Z 
2025-08-26T20:21:00.0678847Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0678930Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0679005Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0679088Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0679191Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0679484Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0679564Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0679802Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0679880Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0680123Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0680193Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0680436Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 248, in forward
2025-08-26T20:21:00.0680533Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:21:00.0680810Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T20:21:00.0680938Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:21:00.0680941Z 
2025-08-26T20:21:00.0681041Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0681352Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0681423Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0681639Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0681715Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0681948Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0682025Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0682257Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 248, in forward
2025-08-26T20:21:00.0682362Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:21:00.0682661Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T20:21:00.0682775Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T20:21:00.0682778Z 
2025-08-26T20:21:00.0682874Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0683167Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0683245Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0683451Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0683535Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0683767Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0683843Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0684080Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 260, in forward
2025-08-26T20:21:00.0684160Z     attn_output = self.o_proj(attn_output)
2025-08-26T20:21:00.0684163Z 
2025-08-26T20:21:00.0684267Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0684560Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0684636Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0684839Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0684914Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0685156Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-26T20:21:00.0685233Z     hidden_states = self.mlp(hidden_states)
2025-08-26T20:21:00.0685502Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-26T20:21:00.0685639Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-26T20:21:00.0685642Z 
2025-08-26T20:21:00.0685743Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0686033Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0686101Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0686310Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0686387Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0686624Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-26T20:21:00.0686704Z     hidden_states = self.mlp(hidden_states)
2025-08-26T20:21:00.0686939Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-26T20:21:00.0687079Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-26T20:21:00.0687082Z 
2025-08-26T20:21:00.0687177Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0687478Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0687548Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0687760Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0687835Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0688064Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-26T20:21:00.0688187Z     hidden_states = self.mlp(hidden_states)
2025-08-26T20:21:00.0688424Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-26T20:21:00.0688565Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-26T20:21:00.0688568Z 
2025-08-26T20:21:00.0688665Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0688975Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0689045Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0689254Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0689338Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0689577Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-26T20:21:00.0689666Z     hidden_states = self.mlp(hidden_states)
2025-08-26T20:21:00.0689904Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-26T20:21:00.0690037Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-26T20:21:00.0690049Z 
2025-08-26T20:21:00.0690147Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0690447Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0690526Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0690735Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0690817Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0691083Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0691157Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0691402Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 232, in forward
2025-08-26T20:21:00.0691538Z     query_states = self.q_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-26T20:21:00.0691541Z 
2025-08-26T20:21:00.0691644Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0691941Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0692018Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0692223Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0692299Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0692544Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0692616Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0692857Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-26T20:21:00.0693004Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-26T20:21:00.0693271Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 135, in apply_rotary_pos_emb
2025-08-26T20:21:00.0693363Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-08-26T20:21:00.0693611Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-26T20:21:00.0693688Z     return torch.cat((-x2, x1), dim=-1)
2025-08-26T20:21:00.0693719Z 
2025-08-26T20:21:00.0693798Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0693906Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0694204Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0694272Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0694486Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0694561Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0694803Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0694874Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0695109Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-26T20:21:00.0695267Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-26T20:21:00.0695537Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 135, in apply_rotary_pos_emb
2025-08-26T20:21:00.0695627Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-08-26T20:21:00.0695872Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-26T20:21:00.0695954Z     return torch.cat((-x2, x1), dim=-1)
2025-08-26T20:21:00.0695956Z 
2025-08-26T20:21:00.0696055Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0696352Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0696430Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0696638Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0696723Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0696995Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0697067Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0697310Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 233, in forward
2025-08-26T20:21:00.0697441Z     key_states = self.k_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-26T20:21:00.0697444Z 
2025-08-26T20:21:00.0697551Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0697851Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0697925Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0698131Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0698212Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0698453Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0698521Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0698767Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-26T20:21:00.0698910Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-26T20:21:00.0699183Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-26T20:21:00.0699264Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-26T20:21:00.0699509Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-26T20:21:00.0699618Z     return torch.cat((-x2, x1), dim=-1)
2025-08-26T20:21:00.0699623Z 
2025-08-26T20:21:00.0699697Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0699802Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0700096Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0700164Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0700374Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0700450Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0700686Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0700756Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0700987Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-26T20:21:00.0701144Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-26T20:21:00.0701413Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-26T20:21:00.0701502Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-26T20:21:00.0701743Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-26T20:21:00.0701820Z     return torch.cat((-x2, x1), dim=-1)
2025-08-26T20:21:00.0701823Z 
2025-08-26T20:21:00.0701919Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0702209Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0702290Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0702524Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0702611Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0702847Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0702925Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0703158Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-26T20:21:00.0703303Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-26T20:21:00.0703578Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-26T20:21:00.0703660Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-26T20:21:00.0703666Z 
2025-08-26T20:21:00.0703772Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0704069Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0704137Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0704350Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0704425Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0704667Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0704739Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0704981Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 234, in forward
2025-08-26T20:21:00.0705116Z     value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-26T20:21:00.0705148Z 
2025-08-26T20:21:00.0705223Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0705308Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0705383Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0705464Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0705564Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0705866Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0705945Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0706153Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0706240Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0706480Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0706554Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0706808Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 248, in forward
2025-08-26T20:21:00.0706904Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:21:00.0707190Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T20:21:00.0707316Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:21:00.0707319Z 
2025-08-26T20:21:00.0707425Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0707728Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0707799Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0708020Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0708101Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0708387Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0708460Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0708699Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 248, in forward
2025-08-26T20:21:00.0708791Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:21:00.0709064Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T20:21:00.0709179Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T20:21:00.0709183Z 
2025-08-26T20:21:00.0709281Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0709586Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0709662Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0709870Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0709955Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0710191Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0710271Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0710503Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 260, in forward
2025-08-26T20:21:00.0710588Z     attn_output = self.o_proj(attn_output)
2025-08-26T20:21:00.0710591Z 
2025-08-26T20:21:00.0710689Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0710982Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0711094Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0711302Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0711385Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0711619Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-26T20:21:00.0711696Z     hidden_states = self.mlp(hidden_states)
2025-08-26T20:21:00.0711942Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-26T20:21:00.0712079Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-26T20:21:00.0712081Z 
2025-08-26T20:21:00.0712188Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0712490Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0712567Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0712773Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0712849Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0713088Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-26T20:21:00.0713166Z     hidden_states = self.mlp(hidden_states)
2025-08-26T20:21:00.0713407Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-26T20:21:00.0713542Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-26T20:21:00.0713545Z 
2025-08-26T20:21:00.0713648Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0713974Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0714045Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0714257Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0714331Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0714571Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-26T20:21:00.0714647Z     hidden_states = self.mlp(hidden_states)
2025-08-26T20:21:00.0714880Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-26T20:21:00.0715018Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-26T20:21:00.0715023Z 
2025-08-26T20:21:00.0715120Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0715420Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0715489Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0715697Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0715774Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0716005Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-26T20:21:00.0716088Z     hidden_states = self.mlp(hidden_states)
2025-08-26T20:21:00.0716326Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-26T20:21:00.0716466Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-26T20:21:00.0716499Z 
2025-08-26T20:21:00.0716598Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0716901Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0716969Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0717173Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0717255Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0717489Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 305, in forward
2025-08-26T20:21:00.0717573Z     hidden_states = residual + hidden_states
2025-08-26T20:21:00.0717576Z 
2025-08-26T20:21:00.0717674Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0717965Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0718045Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0718251Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0718334Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0718569Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0718647Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0718880Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 232, in forward
2025-08-26T20:21:00.0719016Z     query_states = self.q_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-26T20:21:00.0719019Z 
2025-08-26T20:21:00.0719124Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0719448Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0719529Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0719732Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0719807Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0720046Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0720116Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0720359Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-26T20:21:00.0720509Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-26T20:21:00.0720785Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 135, in apply_rotary_pos_emb
2025-08-26T20:21:00.0720874Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-08-26T20:21:00.0721122Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-26T20:21:00.0721203Z     return torch.cat((-x2, x1), dim=-1)
2025-08-26T20:21:00.0721207Z 
2025-08-26T20:21:00.0721282Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0721386Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0721681Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0721760Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0721968Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0722042Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0722320Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0722391Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0722630Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-26T20:21:00.0722775Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-26T20:21:00.0723042Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 135, in apply_rotary_pos_emb
2025-08-26T20:21:00.0723132Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-08-26T20:21:00.0723375Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-26T20:21:00.0723453Z     return torch.cat((-x2, x1), dim=-1)
2025-08-26T20:21:00.0723456Z 
2025-08-26T20:21:00.0723555Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0723857Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0723926Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0724131Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0724213Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0724445Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0724523Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0724752Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 233, in forward
2025-08-26T20:21:00.0724881Z     key_states = self.k_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-26T20:21:00.0724886Z 
2025-08-26T20:21:00.0724992Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0725312Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0725391Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0725598Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0725681Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0725918Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0725988Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0726227Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-26T20:21:00.0726371Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-26T20:21:00.0726653Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-26T20:21:00.0726737Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-26T20:21:00.0726986Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-26T20:21:00.0727063Z     return torch.cat((-x2, x1), dim=-1)
2025-08-26T20:21:00.0727066Z 
2025-08-26T20:21:00.0727142Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0727247Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0727542Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0727619Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0727825Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0727932Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0728184Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0728255Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0728503Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-26T20:21:00.0728646Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-26T20:21:00.0728922Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-26T20:21:00.0729009Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-26T20:21:00.0729255Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-26T20:21:00.0729335Z     return torch.cat((-x2, x1), dim=-1)
2025-08-26T20:21:00.0729338Z 
2025-08-26T20:21:00.0729438Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0729748Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0729816Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0730026Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0730112Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0730348Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0730426Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0730669Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-26T20:21:00.0730862Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-26T20:21:00.0731131Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-26T20:21:00.0731211Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-26T20:21:00.0731214Z 
2025-08-26T20:21:00.0731320Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0731611Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0731688Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0731893Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0731970Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0732210Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0732285Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0732525Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 234, in forward
2025-08-26T20:21:00.0732658Z     value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-26T20:21:00.0732661Z 
2025-08-26T20:21:00.0732744Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0732818Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0732888Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0732970Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0733066Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0733366Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0733466Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0733674Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0733757Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0733991Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0734069Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0734301Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 248, in forward
2025-08-26T20:21:00.0734393Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:21:00.0734670Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T20:21:00.0734800Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:21:00.0734803Z 
2025-08-26T20:21:00.0734909Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0735203Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0735282Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0735487Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0735563Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0735804Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0735874Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0736114Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 248, in forward
2025-08-26T20:21:00.0736208Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:21:00.0736510Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T20:21:00.0736628Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T20:21:00.0736631Z 
2025-08-26T20:21:00.0736735Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0737038Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0737108Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0737320Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0737396Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0737628Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0737708Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0737947Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 260, in forward
2025-08-26T20:21:00.0738035Z     attn_output = self.o_proj(attn_output)
2025-08-26T20:21:00.0738038Z 
2025-08-26T20:21:00.0738133Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0738437Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0738505Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0738708Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0738794Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0739027Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-26T20:21:00.0739113Z     hidden_states = self.mlp(hidden_states)
2025-08-26T20:21:00.0739378Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-26T20:21:00.0739516Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-26T20:21:00.0739527Z 
2025-08-26T20:21:00.0739626Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0739920Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0739996Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0740203Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0740290Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0740521Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-26T20:21:00.0740602Z     hidden_states = self.mlp(hidden_states)
2025-08-26T20:21:00.0740846Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-26T20:21:00.0740978Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-26T20:21:00.0740980Z 
2025-08-26T20:21:00.0741084Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0741378Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0741456Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0741663Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0741739Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0741980Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-26T20:21:00.0742059Z     hidden_states = self.mlp(hidden_states)
2025-08-26T20:21:00.0742332Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-26T20:21:00.0742464Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-26T20:21:00.0742467Z 
2025-08-26T20:21:00.0742564Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0742866Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0742937Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0743149Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0743223Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0743461Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-26T20:21:00.0743544Z     hidden_states = self.mlp(hidden_states)
2025-08-26T20:21:00.0743777Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-26T20:21:00.0743914Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-26T20:21:00.0743917Z 
2025-08-26T20:21:00.0744012Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0744315Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0744385Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0744596Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0744671Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0744935Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0745015Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0745246Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 232, in forward
2025-08-26T20:21:00.0745388Z     query_states = self.q_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-26T20:21:00.0745391Z 
2025-08-26T20:21:00.0745486Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0745780Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0745855Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0746059Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0746141Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0746380Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0746458Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0746691Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-26T20:21:00.0746837Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-26T20:21:00.0747115Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 135, in apply_rotary_pos_emb
2025-08-26T20:21:00.0747198Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-08-26T20:21:00.0747447Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-26T20:21:00.0747519Z     return torch.cat((-x2, x1), dim=-1)
2025-08-26T20:21:00.0747525Z 
2025-08-26T20:21:00.0747600Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0747731Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0748031Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0748110Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0748317Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0748400Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0748631Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0748703Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0748945Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-26T20:21:00.0749092Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-26T20:21:00.0749370Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 135, in apply_rotary_pos_emb
2025-08-26T20:21:00.0749451Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-08-26T20:21:00.0749696Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-26T20:21:00.0749774Z     return torch.cat((-x2, x1), dim=-1)
2025-08-26T20:21:00.0749777Z 
2025-08-26T20:21:00.0749874Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0750174Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0750242Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0750454Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0750570Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0750807Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0750886Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0751119Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 233, in forward
2025-08-26T20:21:00.0751261Z     key_states = self.k_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-26T20:21:00.0751264Z 
2025-08-26T20:21:00.0751364Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0751667Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0751737Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0751941Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0752031Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0752262Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0752340Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0752570Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-26T20:21:00.0752713Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-26T20:21:00.0752986Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-26T20:21:00.0753067Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-26T20:21:00.0753315Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-26T20:21:00.0753388Z     return torch.cat((-x2, x1), dim=-1)
2025-08-26T20:21:00.0753420Z 
2025-08-26T20:21:00.0753505Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0753603Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0753894Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0753972Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0754179Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0754264Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0754497Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0754568Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0754807Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-26T20:21:00.0754956Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-26T20:21:00.0755231Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-26T20:21:00.0755312Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-26T20:21:00.0755565Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-26T20:21:00.0755636Z     return torch.cat((-x2, x1), dim=-1)
2025-08-26T20:21:00.0755639Z 
2025-08-26T20:21:00.0755739Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0756041Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0756139Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0756356Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0756430Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0756663Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0756742Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0756976Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-26T20:21:00.0757132Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-26T20:21:00.0757400Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-26T20:21:00.0757490Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-26T20:21:00.0757496Z 
2025-08-26T20:21:00.0757593Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0757886Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0757961Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0758168Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0758250Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0758485Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0758560Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0758797Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 234, in forward
2025-08-26T20:21:00.0758931Z     value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-26T20:21:00.0758936Z 
2025-08-26T20:21:00.0759018Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0759120Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0759203Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0759276Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0759371Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0759672Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0759739Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0759951Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0760027Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0760258Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0760339Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0760572Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 248, in forward
2025-08-26T20:21:00.0760673Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:21:00.0760941Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T20:21:00.0761072Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:21:00.0761075Z 
2025-08-26T20:21:00.0761170Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0761463Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0761541Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0761744Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0761856Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0762092Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0762164Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0762406Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 248, in forward
2025-08-26T20:21:00.0762497Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:21:00.0762778Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T20:21:00.0762885Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T20:21:00.0762889Z 
2025-08-26T20:21:00.0762995Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0763290Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0763365Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0763578Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0763653Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0763898Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0763970Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0764203Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 260, in forward
2025-08-26T20:21:00.0764292Z     attn_output = self.o_proj(attn_output)
2025-08-26T20:21:00.0764295Z 
2025-08-26T20:21:00.0764393Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0764698Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0764798Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0765015Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0765093Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0765329Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-26T20:21:00.0765414Z     hidden_states = self.mlp(hidden_states)
2025-08-26T20:21:00.0765654Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-26T20:21:00.0765841Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-26T20:21:00.0765844Z 
2025-08-26T20:21:00.0765945Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0766264Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0766334Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0766561Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0766645Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0766875Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-26T20:21:00.0766960Z     hidden_states = self.mlp(hidden_states)
2025-08-26T20:21:00.0767192Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-26T20:21:00.0767327Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-26T20:21:00.0767340Z 
2025-08-26T20:21:00.0767439Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0767822Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0767901Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0768106Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0768192Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0768424Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-26T20:21:00.0768499Z     hidden_states = self.mlp(hidden_states)
2025-08-26T20:21:00.0768742Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-26T20:21:00.0768874Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-26T20:21:00.0768879Z 
2025-08-26T20:21:00.0768984Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0769281Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0769360Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0769567Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0769643Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0769884Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-26T20:21:00.0769959Z     hidden_states = self.mlp(hidden_states)
2025-08-26T20:21:00.0770202Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-26T20:21:00.0770335Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-26T20:21:00.0770341Z 
2025-08-26T20:21:00.0770484Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0770790Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0770858Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0771070Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0771148Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0771389Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 305, in forward
2025-08-26T20:21:00.0771466Z     hidden_states = residual + hidden_states
2025-08-26T20:21:00.0771469Z 
2025-08-26T20:21:00.0771565Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0771868Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0771944Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0772157Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0772232Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0772466Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0772546Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0772778Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 232, in forward
2025-08-26T20:21:00.0772920Z     query_states = self.q_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-26T20:21:00.0772923Z 
2025-08-26T20:21:00.0773018Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0773320Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0773425Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0773637Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0773720Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0773959Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0774036Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0774273Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-26T20:21:00.0774430Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-26T20:21:00.0774700Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 135, in apply_rotary_pos_emb
2025-08-26T20:21:00.0774789Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-08-26T20:21:00.0775048Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-26T20:21:00.0775119Z     return torch.cat((-x2, x1), dim=-1)
2025-08-26T20:21:00.0775122Z 
2025-08-26T20:21:00.0775205Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0775301Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0775599Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0775676Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0775883Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0775966Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0776237Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0776317Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0776552Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-26T20:21:00.0776699Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-26T20:21:00.0776976Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 135, in apply_rotary_pos_emb
2025-08-26T20:21:00.0777060Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-08-26T20:21:00.0777314Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-26T20:21:00.0777383Z     return torch.cat((-x2, x1), dim=-1)
2025-08-26T20:21:00.0777386Z 
2025-08-26T20:21:00.0777488Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0777797Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0777866Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0778084Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0778159Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0778400Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0778473Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0778707Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 233, in forward
2025-08-26T20:21:00.0778848Z     key_states = self.k_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-26T20:21:00.0778878Z 
2025-08-26T20:21:00.0778978Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0779280Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0779349Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0779553Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0779639Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0779868Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0779948Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0780177Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-26T20:21:00.0780329Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-26T20:21:00.0780601Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-26T20:21:00.0780686Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-26T20:21:00.0780937Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-26T20:21:00.0781009Z     return torch.cat((-x2, x1), dim=-1)
2025-08-26T20:21:00.0781011Z 
2025-08-26T20:21:00.0781093Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0781188Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0781485Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0781553Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0781758Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0781872Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0782105Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0782183Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0782412Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-26T20:21:00.0782555Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-26T20:21:00.0782830Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-26T20:21:00.0782910Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-26T20:21:00.0783163Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-26T20:21:00.0783238Z     return torch.cat((-x2, x1), dim=-1)
2025-08-26T20:21:00.0783241Z 
2025-08-26T20:21:00.0783348Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0783643Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0783711Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0783926Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0784000Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0784238Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0784310Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0784539Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-26T20:21:00.0784729Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-26T20:21:00.0784995Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-26T20:21:00.0785081Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-26T20:21:00.0785084Z 
2025-08-26T20:21:00.0785180Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0785480Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0785548Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0785753Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0785839Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0786073Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0786155Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0786387Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 234, in forward
2025-08-26T20:21:00.0786520Z     value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-26T20:21:00.0786530Z 
2025-08-26T20:21:00.0786606Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0786679Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0786758Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0786831Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0786929Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0787231Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0787303Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0787546Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0787627Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0787874Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0787948Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0788187Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 248, in forward
2025-08-26T20:21:00.0788293Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:21:00.0788569Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T20:21:00.0788704Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:21:00.0788707Z 
2025-08-26T20:21:00.0788809Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0789114Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0789188Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0789399Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0789485Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0789720Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0789802Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0790040Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 248, in forward
2025-08-26T20:21:00.0790134Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:21:00.0790443Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T20:21:00.0790549Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T20:21:00.0790553Z 
2025-08-26T20:21:00.0790657Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0790951Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0791025Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0791229Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0791304Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0791544Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0791615Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0791860Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 260, in forward
2025-08-26T20:21:00.0791940Z     attn_output = self.o_proj(attn_output)
2025-08-26T20:21:00.0791943Z 
2025-08-26T20:21:00.0792040Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0792342Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0792409Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0792623Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0792700Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0792941Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-26T20:21:00.0793021Z     hidden_states = self.mlp(hidden_states)
2025-08-26T20:21:00.0793295Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-26T20:21:00.0793441Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-26T20:21:00.0793444Z 
2025-08-26T20:21:00.0793541Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0793842Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0793911Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0794124Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0794200Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0794433Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-26T20:21:00.0794522Z     hidden_states = self.mlp(hidden_states)
2025-08-26T20:21:00.0794757Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-26T20:21:00.0794902Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-26T20:21:00.0794905Z 
2025-08-26T20:21:00.0795004Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0795298Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0795377Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0795580Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0795665Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0795899Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-26T20:21:00.0796012Z     hidden_states = self.mlp(hidden_states)
2025-08-26T20:21:00.0796249Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-26T20:21:00.0796380Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-26T20:21:00.0796382Z 
2025-08-26T20:21:00.0796487Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0796782Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0796859Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0797068Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0797142Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0797383Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-26T20:21:00.0797463Z     hidden_states = self.mlp(hidden_states)
2025-08-26T20:21:00.0797705Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-26T20:21:00.0797837Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-26T20:21:00.0797840Z 
2025-08-26T20:21:00.0797945Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0798241Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0798309Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0798526Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0798601Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0798878Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0798954Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0799195Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 232, in forward
2025-08-26T20:21:00.0799331Z     query_states = self.q_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-26T20:21:00.0799333Z 
2025-08-26T20:21:00.0799429Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0799727Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0799797Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0800008Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0800083Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0800317Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0800398Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0800630Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-26T20:21:00.0800783Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-26T20:21:00.0801050Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 135, in apply_rotary_pos_emb
2025-08-26T20:21:00.0801138Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-08-26T20:21:00.0801380Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-26T20:21:00.0801450Z     return torch.cat((-x2, x1), dim=-1)
2025-08-26T20:21:00.0801480Z 
2025-08-26T20:21:00.0801564Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0801664Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0801964Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0802033Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0802237Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0802320Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0802552Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0802632Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0802863Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-26T20:21:00.0803019Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-26T20:21:00.0803288Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 135, in apply_rotary_pos_emb
2025-08-26T20:21:00.0803371Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-08-26T20:21:00.0803622Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-26T20:21:00.0803694Z     return torch.cat((-x2, x1), dim=-1)
2025-08-26T20:21:00.0803697Z 
2025-08-26T20:21:00.0803801Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0804094Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0804171Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0804376Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0804453Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0804721Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0804793Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0805028Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 233, in forward
2025-08-26T20:21:00.0805160Z     key_states = self.k_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-26T20:21:00.0805163Z 
2025-08-26T20:21:00.0805257Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0805558Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0805627Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0805838Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0805918Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0806155Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0806227Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0806460Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-26T20:21:00.0806615Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-26T20:21:00.0806880Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-26T20:21:00.0806967Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-26T20:21:00.0807208Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-26T20:21:00.0807325Z     return torch.cat((-x2, x1), dim=-1)
2025-08-26T20:21:00.0807340Z 
2025-08-26T20:21:00.0807415Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0807514Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0807818Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0807886Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0808100Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0808176Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0808410Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0808490Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0808724Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-26T20:21:00.0808885Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-26T20:21:00.0809157Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-26T20:21:00.0809238Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-26T20:21:00.0809491Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-26T20:21:00.0809564Z     return torch.cat((-x2, x1), dim=-1)
2025-08-26T20:21:00.0809567Z 
2025-08-26T20:21:00.0809673Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0809967Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0810047Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0810279Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0810357Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0810597Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0810670Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0810909Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-26T20:21:00.0811051Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-26T20:21:00.0811317Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-26T20:21:00.0811407Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-26T20:21:00.0811413Z 
2025-08-26T20:21:00.0811511Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0811813Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0811880Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0812096Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0812171Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0812401Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0812482Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0812714Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 234, in forward
2025-08-26T20:21:00.0812852Z     value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-26T20:21:00.0812884Z 
2025-08-26T20:21:00.0812961Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0813044Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0813119Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0813192Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0813296Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0813604Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0813682Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0813893Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0813968Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0814218Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0814291Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0814540Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 248, in forward
2025-08-26T20:21:00.0814635Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:21:00.0814915Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T20:21:00.0815047Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:21:00.0815050Z 
2025-08-26T20:21:00.0815148Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0815457Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0815526Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0815742Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0815822Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0816101Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0816181Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0816412Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 248, in forward
2025-08-26T20:21:00.0816511Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:21:00.0816776Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T20:21:00.0816879Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T20:21:00.0816889Z 
2025-08-26T20:21:00.0816984Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0817276Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0817358Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0817562Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0817643Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0817873Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0817942Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0818182Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 260, in forward
2025-08-26T20:21:00.0818258Z     attn_output = self.o_proj(attn_output)
2025-08-26T20:21:00.0818261Z 
2025-08-26T20:21:00.0818363Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0818654Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0818762Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0818970Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0819046Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0819284Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-26T20:21:00.0819361Z     hidden_states = self.mlp(hidden_states)
2025-08-26T20:21:00.0819603Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-26T20:21:00.0819739Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-26T20:21:00.0819741Z 
2025-08-26T20:21:00.0819837Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0820140Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0820210Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0820423Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0820498Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0820743Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-26T20:21:00.0820821Z     hidden_states = self.mlp(hidden_states)
2025-08-26T20:21:00.0821053Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-26T20:21:00.0821194Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-26T20:21:00.0821197Z 
2025-08-26T20:21:00.0821291Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0821627Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0821697Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0821913Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0821989Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0822226Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-26T20:21:00.0822314Z     hidden_states = self.mlp(hidden_states)
2025-08-26T20:21:00.0822551Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-26T20:21:00.0822689Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-26T20:21:00.0822694Z 
2025-08-26T20:21:00.0822790Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0823091Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0823171Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0823379Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0823463Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0823702Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-26T20:21:00.0823784Z     hidden_states = self.mlp(hidden_states)
2025-08-26T20:21:00.0824019Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-26T20:21:00.0824150Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-26T20:21:00.0824180Z 
2025-08-26T20:21:00.0824289Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0824582Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0824658Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0824865Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0824943Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0825187Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 305, in forward
2025-08-26T20:21:00.0825265Z     hidden_states = residual + hidden_states
2025-08-26T20:21:00.0825268Z 
2025-08-26T20:21:00.0825376Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0825669Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0825752Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0825960Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0826034Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0826278Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0826349Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0826593Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 232, in forward
2025-08-26T20:21:00.0826730Z     query_states = self.q_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-26T20:21:00.0826732Z 
2025-08-26T20:21:00.0826837Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0827168Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0827237Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0827455Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0827529Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0827770Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0827843Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0828073Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-26T20:21:00.0828228Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-26T20:21:00.0828494Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 135, in apply_rotary_pos_emb
2025-08-26T20:21:00.0828591Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-08-26T20:21:00.0828835Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-26T20:21:00.0828914Z     return torch.cat((-x2, x1), dim=-1)
2025-08-26T20:21:00.0828918Z 
2025-08-26T20:21:00.0828993Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0829088Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0829387Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0829455Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0829671Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0829745Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0830010Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0830090Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0830323Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-26T20:21:00.0830475Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-26T20:21:00.0830740Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 135, in apply_rotary_pos_emb
2025-08-26T20:21:00.0830829Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-08-26T20:21:00.0831070Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-26T20:21:00.0831140Z     return torch.cat((-x2, x1), dim=-1)
2025-08-26T20:21:00.0831143Z 
2025-08-26T20:21:00.0831254Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0831548Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0831623Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0831832Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0831907Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0832147Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0832217Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0832455Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 233, in forward
2025-08-26T20:21:00.0832585Z     key_states = self.k_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-26T20:21:00.0832590Z 
2025-08-26T20:21:00.0832695Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0833018Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0833090Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0833307Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0833384Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0833626Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0833695Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0833928Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-26T20:21:00.0834083Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-26T20:21:00.0834359Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-26T20:21:00.0834446Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-26T20:21:00.0834691Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-26T20:21:00.0834770Z     return torch.cat((-x2, x1), dim=-1)
2025-08-26T20:21:00.0834773Z 
2025-08-26T20:21:00.0834849Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0834946Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0835249Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0835316Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0835530Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0835643Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0835886Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0835955Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0836186Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-26T20:21:00.0836337Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-26T20:21:00.0836603Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-26T20:21:00.0836695Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-26T20:21:00.0836938Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-26T20:21:00.0837011Z     return torch.cat((-x2, x1), dim=-1)
2025-08-26T20:21:00.0837013Z 
2025-08-26T20:21:00.0837120Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0837412Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0837491Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0837696Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0837782Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0838016Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0838085Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0838324Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-26T20:21:00.0838501Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-26T20:21:00.0838783Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-26T20:21:00.0838864Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-26T20:21:00.0838867Z 
2025-08-26T20:21:00.0838962Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0839261Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0839331Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0839544Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0839620Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0839860Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0839936Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0840171Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 234, in forward
2025-08-26T20:21:00.0840317Z     value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-26T20:21:00.0840320Z 
2025-08-26T20:21:00.0840394Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0840476Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0840551Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0840624Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0840729Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0841021Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0841126Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0841336Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0841421Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0841662Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0841733Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0841978Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 248, in forward
2025-08-26T20:21:00.0842072Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:21:00.0842357Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T20:21:00.0842482Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:21:00.0842485Z 
2025-08-26T20:21:00.0842586Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0842901Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0842971Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0843188Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0843263Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0843511Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0843582Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0843820Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 248, in forward
2025-08-26T20:21:00.0843919Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:21:00.0844227Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T20:21:00.0844342Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T20:21:00.0844346Z 
2025-08-26T20:21:00.0844444Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0844735Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0844812Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0845016Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0845101Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0845334Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0845412Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0845649Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 260, in forward
2025-08-26T20:21:00.0845726Z     attn_output = self.o_proj(attn_output)
2025-08-26T20:21:00.0845729Z 
2025-08-26T20:21:00.0845833Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0846125Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0846200Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0846402Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0846476Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0846713Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-26T20:21:00.0846788Z     hidden_states = self.mlp(hidden_states)
2025-08-26T20:21:00.0847066Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-26T20:21:00.0847200Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-26T20:21:00.0847203Z 
2025-08-26T20:21:00.0847304Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0847595Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0847663Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0847875Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0847949Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0848189Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-26T20:21:00.0848269Z     hidden_states = self.mlp(hidden_states)
2025-08-26T20:21:00.0848510Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-26T20:21:00.0848644Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-26T20:21:00.0848647Z 
2025-08-26T20:21:00.0848743Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0849044Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0849115Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0849325Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0849402Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0849635Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-26T20:21:00.0849721Z     hidden_states = self.mlp(hidden_states)
2025-08-26T20:21:00.0849985Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-26T20:21:00.0850123Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-26T20:21:00.0850126Z 
2025-08-26T20:21:00.0850222Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0850521Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0850588Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0850790Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0850872Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0851107Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-26T20:21:00.0851195Z     hidden_states = self.mlp(hidden_states)
2025-08-26T20:21:00.0851424Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-26T20:21:00.0851552Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-26T20:21:00.0851561Z 
2025-08-26T20:21:00.0851658Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0851949Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0852028Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0852232Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0852316Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0852594Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0852666Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0852906Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 232, in forward
2025-08-26T20:21:00.0853048Z     query_states = self.q_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-26T20:21:00.0853051Z 
2025-08-26T20:21:00.0853155Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0853449Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0853525Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0853731Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0853805Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0854048Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0854119Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0854356Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-26T20:21:00.0854502Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-26T20:21:00.0854769Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 135, in apply_rotary_pos_emb
2025-08-26T20:21:00.0854860Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-08-26T20:21:00.0855102Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-26T20:21:00.0855181Z     return torch.cat((-x2, x1), dim=-1)
2025-08-26T20:21:00.0855186Z 
2025-08-26T20:21:00.0855263Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0855415Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0855709Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0855779Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0855994Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0856070Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0856310Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0856381Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0856612Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-26T20:21:00.0856767Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-26T20:21:00.0857037Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 135, in apply_rotary_pos_emb
2025-08-26T20:21:00.0857128Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-08-26T20:21:00.0857370Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-26T20:21:00.0857448Z     return torch.cat((-x2, x1), dim=-1)
2025-08-26T20:21:00.0857451Z 
2025-08-26T20:21:00.0857547Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0857837Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0857914Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0858119Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0858238Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0858473Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0858554Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0858788Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 233, in forward
2025-08-26T20:21:00.0858921Z     key_states = self.k_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-26T20:21:00.0858924Z 
2025-08-26T20:21:00.0859026Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0859320Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0859398Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0859604Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0859687Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0859932Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0860003Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0860244Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-26T20:21:00.0860391Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-26T20:21:00.0860665Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-26T20:21:00.0860747Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-26T20:21:00.0860990Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-26T20:21:00.0861071Z     return torch.cat((-x2, x1), dim=-1)
2025-08-26T20:21:00.0861101Z 
2025-08-26T20:21:00.0861178Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0861281Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0861572Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0861640Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0861851Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0861924Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0862164Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0862232Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0862470Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-26T20:21:00.0862618Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-26T20:21:00.0862884Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-26T20:21:00.0862973Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-26T20:21:00.0863214Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-26T20:21:00.0863292Z     return torch.cat((-x2, x1), dim=-1)
2025-08-26T20:21:00.0863295Z 
2025-08-26T20:21:00.0863392Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0863695Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0863791Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0864005Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0864090Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0864325Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0864402Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0864638Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-26T20:21:00.0864784Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-26T20:21:00.0865062Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-26T20:21:00.0865144Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-26T20:21:00.0865149Z 
2025-08-26T20:21:00.0865256Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0865554Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0865635Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0865909Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0865986Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0866231Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0866301Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0866546Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 234, in forward
2025-08-26T20:21:00.0866682Z     value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-26T20:21:00.0866688Z 
2025-08-26T20:21:00.0866767Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0866907Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0866984Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0867067Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0867165Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0867460Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0867538Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0867746Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0867832Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0868073Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0868153Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0868387Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 248, in forward
2025-08-26T20:21:00.0868483Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:21:00.0868772Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T20:21:00.0868897Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:21:00.0868900Z 
2025-08-26T20:21:00.0869004Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0869299Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0869378Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0869587Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0869711Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0869956Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0870028Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0870268Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 248, in forward
2025-08-26T20:21:00.0870359Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:21:00.0870628Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T20:21:00.0870743Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T20:21:00.0870746Z 
2025-08-26T20:21:00.0870843Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0871144Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0871219Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0871431Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0871510Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0871740Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0871818Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0872049Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 260, in forward
2025-08-26T20:21:00.0872138Z     attn_output = self.o_proj(attn_output)
2025-08-26T20:21:00.0872140Z 
2025-08-26T20:21:00.0872236Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0872528Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0872635Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0872840Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0872923Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0873158Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-26T20:21:00.0873245Z     hidden_states = self.mlp(hidden_states)
2025-08-26T20:21:00.0873477Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-26T20:21:00.0873612Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-26T20:21:00.0873615Z 
2025-08-26T20:21:00.0873717Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0874011Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0874088Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0874291Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0874367Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0874605Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-26T20:21:00.0874682Z     hidden_states = self.mlp(hidden_states)
2025-08-26T20:21:00.0874926Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-26T20:21:00.0875056Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-26T20:21:00.0875060Z 
2025-08-26T20:21:00.0875164Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0875487Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0875555Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0875768Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0875841Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0876082Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-26T20:21:00.0876158Z     hidden_states = self.mlp(hidden_states)
2025-08-26T20:21:00.0876398Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-26T20:21:00.0876531Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-26T20:21:00.0876536Z 
2025-08-26T20:21:00.0876631Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0876934Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0877002Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0877213Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0877288Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0877521Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-26T20:21:00.0877605Z     hidden_states = self.mlp(hidden_states)
2025-08-26T20:21:00.0877837Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-26T20:21:00.0877976Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-26T20:21:00.0877982Z 
2025-08-26T20:21:00.0878116Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0878418Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0878487Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0878692Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0878775Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0879009Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 305, in forward
2025-08-26T20:21:00.0879095Z     hidden_states = residual + hidden_states
2025-08-26T20:21:00.0879098Z 
2025-08-26T20:21:00.0879193Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0879495Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0879568Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0879773Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0879855Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0880089Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0880169Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0880399Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 232, in forward
2025-08-26T20:21:00.0880534Z     query_states = self.q_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-26T20:21:00.0880537Z 
2025-08-26T20:21:00.0880644Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0880974Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0881052Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0881258Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0881345Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0881581Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0881654Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0881894Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-26T20:21:00.0882043Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-26T20:21:00.0882321Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 135, in apply_rotary_pos_emb
2025-08-26T20:21:00.0882409Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-08-26T20:21:00.0882654Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-26T20:21:00.0882735Z     return torch.cat((-x2, x1), dim=-1)
2025-08-26T20:21:00.0882738Z 
2025-08-26T20:21:00.0882815Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0882919Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0883213Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0883287Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0883492Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0883568Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0883839Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0883910Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0884150Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-26T20:21:00.0884296Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-26T20:21:00.0884559Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 135, in apply_rotary_pos_emb
2025-08-26T20:21:00.0884649Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-08-26T20:21:00.0884891Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-26T20:21:00.0884969Z     return torch.cat((-x2, x1), dim=-1)
2025-08-26T20:21:00.0884972Z 
2025-08-26T20:21:00.0885072Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0885372Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0885441Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0885646Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0885728Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0885961Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0886039Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0886272Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 233, in forward
2025-08-26T20:21:00.0886407Z     key_states = self.k_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-26T20:21:00.0886442Z 
2025-08-26T20:21:00.0886540Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0886832Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0886910Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0887115Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0887200Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0887431Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0887501Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0887738Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-26T20:21:00.0887883Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-26T20:21:00.0888160Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-26T20:21:00.0888241Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-26T20:21:00.0888492Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-26T20:21:00.0888562Z     return torch.cat((-x2, x1), dim=-1)
2025-08-26T20:21:00.0888565Z 
2025-08-26T20:21:00.0888640Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0888744Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0889036Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0889112Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0889314Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0889427Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0889671Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0889740Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0889977Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-26T20:21:00.0890120Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-26T20:21:00.0890395Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-26T20:21:00.0890476Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-26T20:21:00.0890718Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-26T20:21:00.0890800Z     return torch.cat((-x2, x1), dim=-1)
2025-08-26T20:21:00.0890803Z 
2025-08-26T20:21:00.0890904Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0891205Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0891275Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0891480Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0891564Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0891794Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0891871Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0892099Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-26T20:21:00.0892290Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-26T20:21:00.0892563Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-26T20:21:00.0892643Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-26T20:21:00.0892646Z 
2025-08-26T20:21:00.0892752Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0893049Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0893126Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0893335Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0893417Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0893655Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0893729Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0893976Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 234, in forward
2025-08-26T20:21:00.0894111Z     value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-26T20:21:00.0894114Z 
2025-08-26T20:21:00.0894198Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0894273Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0894346Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0894428Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0894526Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0894831Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0894905Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0895142Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0895228Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0895462Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0895540Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0895778Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 248, in forward
2025-08-26T20:21:00.0895882Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:21:00.0896152Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T20:21:00.0896277Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:21:00.0896280Z 
2025-08-26T20:21:00.0896387Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0896682Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0896760Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0896965Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0897039Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0897276Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0897346Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0897585Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 248, in forward
2025-08-26T20:21:00.0897676Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:21:00.0897984Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T20:21:00.0898092Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T20:21:00.0898095Z 
2025-08-26T20:21:00.0898193Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0898493Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0898564Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0898778Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0898856Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0899087Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0899164Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0899406Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 260, in forward
2025-08-26T20:21:00.0899493Z     attn_output = self.o_proj(attn_output)
2025-08-26T20:21:00.0899496Z 
2025-08-26T20:21:00.0899593Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0899895Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0899965Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0900170Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0900257Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0900493Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-26T20:21:00.0900579Z     hidden_states = self.mlp(hidden_states)
2025-08-26T20:21:00.0900856Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-26T20:21:00.0901002Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-26T20:21:00.0901005Z 
2025-08-26T20:21:00.0901102Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0901398Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0901476Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0901681Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0901766Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0902001Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-26T20:21:00.0902079Z     hidden_states = self.mlp(hidden_states)
2025-08-26T20:21:00.0902323Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-26T20:21:00.0902456Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-26T20:21:00.0902459Z 
2025-08-26T20:21:00.0902565Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0902859Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0902934Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0903140Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0903213Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0903452Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-26T20:21:00.0903560Z     hidden_states = self.mlp(hidden_states)
2025-08-26T20:21:00.0903802Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-26T20:21:00.0903932Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-26T20:21:00.0903935Z 
2025-08-26T20:21:00.0904036Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0904332Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0904401Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0904612Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0904688Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0904925Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-26T20:21:00.0905005Z     hidden_states = self.mlp(hidden_states)
2025-08-26T20:21:00.0905242Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-26T20:21:00.0905379Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-26T20:21:00.0905382Z 
2025-08-26T20:21:00.0905477Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0905774Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0905842Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0906052Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0906127Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0906391Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0906472Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0906705Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 232, in forward
2025-08-26T20:21:00.0906845Z     query_states = self.q_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-26T20:21:00.0906848Z 
2025-08-26T20:21:00.0906944Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0907239Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0907315Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0907521Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0907603Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0907841Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0907921Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0908152Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-26T20:21:00.0908300Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-26T20:21:00.0908574Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 135, in apply_rotary_pos_emb
2025-08-26T20:21:00.0908657Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-08-26T20:21:00.0908911Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-26T20:21:00.0908985Z     return torch.cat((-x2, x1), dim=-1)
2025-08-26T20:21:00.0909014Z 
2025-08-26T20:21:00.0909098Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0909198Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0909491Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0909572Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0909779Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0909863Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0910094Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0910166Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0910409Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-26T20:21:00.0910558Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-26T20:21:00.0910836Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 135, in apply_rotary_pos_emb
2025-08-26T20:21:00.0910919Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-08-26T20:21:00.0911181Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-26T20:21:00.0911255Z     return torch.cat((-x2, x1), dim=-1)
2025-08-26T20:21:00.0911258Z 
2025-08-26T20:21:00.0911355Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0911655Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0911724Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0911936Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0912015Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0912270Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0912351Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0912586Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 233, in forward
2025-08-26T20:21:00.0912724Z     key_states = self.k_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-26T20:21:00.0912727Z 
2025-08-26T20:21:00.0912823Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0913122Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0913190Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0913394Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0913485Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0913717Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0913796Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0914030Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-26T20:21:00.0914186Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-26T20:21:00.0914450Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-26T20:21:00.0914532Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-26T20:21:00.0914785Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-26T20:21:00.0914887Z     return torch.cat((-x2, x1), dim=-1)
2025-08-26T20:21:00.0914892Z 
2025-08-26T20:21:00.0914976Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0915073Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0915366Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0915441Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0915647Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0915728Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0915959Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0916037Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0916270Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-26T20:21:00.0916419Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-26T20:21:00.0916691Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-26T20:21:00.0916772Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-26T20:21:00.0917022Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-26T20:21:00.0917094Z     return torch.cat((-x2, x1), dim=-1)
2025-08-26T20:21:00.0917097Z 
2025-08-26T20:21:00.0917197Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0917497Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0917570Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0917816Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0917893Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0918133Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0918204Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0918436Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-26T20:21:00.0918588Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-26T20:21:00.0918857Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-26T20:21:00.0918945Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-26T20:21:00.0918951Z 
2025-08-26T20:21:00.0919048Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0919355Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0919423Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0919629Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0919711Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0919945Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0920021Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0920255Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 234, in forward
2025-08-26T20:21:00.0920388Z     value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-26T20:21:00.0920431Z 
2025-08-26T20:21:00.0920518Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0920594Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0920678Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0920749Z cudagraph partition due to non gpu ops
2025-08-26T20:21:00.0920846Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0921147Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0921216Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0921427Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0921504Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0921748Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0921820Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0922055Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 248, in forward
2025-08-26T20:21:00.0922158Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:21:00.0922426Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T20:21:00.0922558Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:21:00.0922561Z 
2025-08-26T20:21:00.0922657Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0922949Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0923026Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0923231Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0923318Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0923584Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0923665Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0923896Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 248, in forward
2025-08-26T20:21:00.0923987Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:21:00.0924263Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T20:21:00.0924372Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T20:21:00.0924375Z 
2025-08-26T20:21:00.0924477Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0924771Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0924846Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0925058Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0925134Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0925373Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-26T20:21:00.0925446Z     hidden_states, _ = self.self_attn(
2025-08-26T20:21:00.0925686Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 260, in forward
2025-08-26T20:21:00.0925765Z     attn_output = self.o_proj(attn_output)
2025-08-26T20:21:00.0925768Z 
2025-08-26T20:21:00.0925865Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0926168Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0926267Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0926490Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0926564Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0926803Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-26T20:21:00.0926888Z     hidden_states = self.mlp(hidden_states)
2025-08-26T20:21:00.0927134Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-26T20:21:00.0927280Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-26T20:21:00.0927283Z 
2025-08-26T20:21:00.0927379Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0927691Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0927761Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0927973Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0928057Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0928299Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-26T20:21:00.0928383Z     hidden_states = self.mlp(hidden_states)
2025-08-26T20:21:00.0928623Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-26T20:21:00.0928768Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-26T20:21:00.0928771Z 
2025-08-26T20:21:00.0928866Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0929199Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0929274Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0929480Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0929564Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0929796Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-26T20:21:00.0929871Z     hidden_states = self.mlp(hidden_states)
2025-08-26T20:21:00.0930113Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-26T20:21:00.0930243Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-26T20:21:00.0930249Z 
2025-08-26T20:21:00.0930353Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0930649Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0930726Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0930930Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0931004Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0931247Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-26T20:21:00.0931324Z     hidden_states = self.mlp(hidden_states)
2025-08-26T20:21:00.0931565Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-26T20:21:00.0931694Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-26T20:21:00.0931728Z 
2025-08-26T20:21:00.0931836Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:00.0932132Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-26T20:21:00.0932201Z     hidden_states = decoder_layer(
2025-08-26T20:21:00.0932421Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:21:00.0932496Z     return super().__call__(*args, **kwargs)
2025-08-26T20:21:00.0932741Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 305, in forward
2025-08-26T20:21:00.0932818Z     hidden_states = residual + hidden_states
2025-08-26T20:21:00.0932821Z 
2025-08-26T20:21:15.4773669Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:15.4774254Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 474, in torch_dynamo_resume_in_forward_at_460
2025-08-26T20:21:15.4774798Z     logits = self.lm_head(hidden_states[:, slice_indices, :])
2025-08-26T20:21:15.4774983Z 
2025-08-26T20:21:18.1007627Z 
2025-08-26T20:21:19.7176419Z running benchmark:   0% 0/50 [00:00<?, ?it/s]
2025-08-26T20:21:21.2212084Z running benchmark:   2% 1/50 [00:01<01:19,  1.62s/it]
2025-08-26T20:21:22.7299598Z running benchmark:   4% 2/50 [00:03<01:14,  1.55s/it]
2025-08-26T20:21:24.2326018Z running benchmark:   6% 3/50 [00:04<01:11,  1.53s/it]
2025-08-26T20:21:25.7325777Z running benchmark:   8% 4/50 [00:06<01:09,  1.52s/it]
2025-08-26T20:21:27.2365837Z running benchmark:  10% 5/50 [00:07<01:08,  1.51s/it]
2025-08-26T20:21:28.7279614Z running benchmark:  12% 6/50 [00:09<01:06,  1.51s/it]
2025-08-26T20:21:30.2257414Z running benchmark:  14% 7/50 [00:10<01:04,  1.50s/it]
2025-08-26T20:21:31.7320562Z running benchmark:  16% 8/50 [00:12<01:03,  1.50s/it]
2025-08-26T20:21:33.2336467Z running benchmark:  18% 9/50 [00:13<01:01,  1.50s/it]
2025-08-26T20:21:34.7285023Z running benchmark:  20% 10/50 [00:15<01:00,  1.50s/it]
2025-08-26T20:21:36.2378649Z running benchmark:  22% 11/50 [00:16<00:58,  1.50s/it]
2025-08-26T20:21:37.7367199Z running benchmark:  24% 12/50 [00:18<00:57,  1.50s/it]
2025-08-26T20:21:39.2386318Z running benchmark:  26% 13/50 [00:19<00:55,  1.50s/it]
2025-08-26T20:21:40.7328907Z running benchmark:  28% 14/50 [00:21<00:54,  1.50s/it]
2025-08-26T20:21:42.2312080Z running benchmark:  30% 15/50 [00:22<00:52,  1.50s/it]
2025-08-26T20:21:43.7417307Z running benchmark:  32% 16/50 [00:24<00:50,  1.50s/it]
2025-08-26T20:21:45.2380932Z running benchmark:  34% 17/50 [00:25<00:49,  1.50s/it]
2025-08-26T20:21:46.7399990Z running benchmark:  36% 18/50 [00:27<00:48,  1.50s/it]
2025-08-26T20:21:48.2459122Z running benchmark:  38% 19/50 [00:28<00:46,  1.50s/it]
2025-08-26T20:21:49.7456461Z running benchmark:  40% 20/50 [00:30<00:45,  1.50s/it]
2025-08-26T20:21:51.2409995Z running benchmark:  42% 21/50 [00:31<00:43,  1.50s/it]
2025-08-26T20:21:52.7383169Z running benchmark:  44% 22/50 [00:33<00:41,  1.50s/it]
2025-08-26T20:21:54.2421260Z running benchmark:  46% 23/50 [00:34<00:40,  1.50s/it]
2025-08-26T20:21:55.7557261Z running benchmark:  48% 24/50 [00:36<00:39,  1.50s/it]
2025-08-26T20:21:57.2497873Z running benchmark:  50% 25/50 [00:37<00:37,  1.50s/it]
2025-08-26T20:21:58.7493333Z running benchmark:  52% 26/50 [00:39<00:36,  1.50s/it]
2025-08-26T20:22:00.2597989Z running benchmark:  54% 27/50 [00:40<00:34,  1.50s/it]
2025-08-26T20:22:01.7540377Z running benchmark:  56% 28/50 [00:42<00:33,  1.50s/it]
2025-08-26T20:22:03.2510334Z running benchmark:  58% 29/50 [00:43<00:31,  1.50s/it]
2025-08-26T20:22:04.7678930Z running benchmark:  60% 30/50 [00:45<00:29,  1.50s/it]
2025-08-26T20:22:06.2669057Z running benchmark:  62% 31/50 [00:46<00:28,  1.50s/it]
2025-08-26T20:22:07.7752235Z running benchmark:  64% 32/50 [00:48<00:27,  1.50s/it]
2025-08-26T20:22:09.2698850Z running benchmark:  66% 33/50 [00:49<00:25,  1.50s/it]
2025-08-26T20:22:10.7646624Z running benchmark:  68% 34/50 [00:51<00:24,  1.50s/it]
2025-08-26T20:22:12.2712913Z running benchmark:  70% 35/50 [00:52<00:22,  1.50s/it]
2025-08-26T20:22:13.7686793Z running benchmark:  72% 36/50 [00:54<00:21,  1.50s/it]
2025-08-26T20:22:15.2691029Z running benchmark:  74% 37/50 [00:55<00:19,  1.50s/it]
2025-08-26T20:22:16.7770096Z running benchmark:  76% 38/50 [00:57<00:18,  1.50s/it]
2025-08-26T20:22:18.2689157Z running benchmark:  78% 39/50 [00:58<00:16,  1.50s/it]
2025-08-26T20:22:19.7810055Z running benchmark:  80% 40/50 [01:00<00:14,  1.50s/it]
2025-08-26T20:22:21.2822513Z running benchmark:  82% 41/50 [01:01<00:13,  1.50s/it]
2025-08-26T20:22:22.7834223Z running benchmark:  84% 42/50 [01:03<00:12,  1.50s/it]
2025-08-26T20:22:24.2904760Z running benchmark:  86% 43/50 [01:04<00:10,  1.50s/it]
2025-08-26T20:22:25.7888751Z running benchmark:  88% 44/50 [01:06<00:09,  1.50s/it]
2025-08-26T20:22:27.2860887Z running benchmark:  90% 45/50 [01:07<00:07,  1.50s/it]
2025-08-26T20:22:28.7890049Z running benchmark:  92% 46/50 [01:09<00:06,  1.50s/it]
2025-08-26T20:22:30.2835406Z running benchmark:  94% 47/50 [01:10<00:04,  1.50s/it]
2025-08-26T20:22:31.7820094Z running benchmark:  96% 48/50 [01:12<00:02,  1.50s/it]
2025-08-26T20:22:33.2877694Z running benchmark:  98% 49/50 [01:13<00:01,  1.50s/it]
2025-08-26T20:22:33.2878158Z running benchmark: 100% 50/50 [01:15<00:00,  1.50s/it]
2025-08-26T20:22:33.2878557Z running benchmark: 100% 50/50 [01:15<00:00,  1.50s/it]
2025-08-26T20:22:33.9316006Z 1.310x
2025-08-26T20:22:33.9316401Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:22:36.0769440Z + cat /var/lib/jenkins/workspace/test/test-reports/inductor_inference_llama_v2_7b_16h_inductor_float32_dynamic_cpu_smoketest.csv
2025-08-26T20:22:36.0782232Z 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
2025-08-26T20:22:36.0783261Z cpu,llama_v2_7b_16h,1,1.309951,649.856416,32.876004,0.955115,4519.411302,4731.797094,986,3,5,1,0,0,3
2025-08-26T20:22:36.0783914Z + 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
2025-08-26T20:22:36.3207640Z llama_v2_7b_16h                    1.309951
2025-08-26T20:22:36.3565530Z + IFS=,
2025-08-26T20:22:36.3565902Z + read -r -a model_cfg
2025-08-26T20:22:36.3566189Z + local model_name=resnet50
2025-08-26T20:22:36.3566417Z + local data_type=float32
2025-08-26T20:22:36.3566636Z + local speedup_target=1.67742767
2025-08-26T20:22:36.3566861Z + local backend=inductor
2025-08-26T20:22:36.3567064Z + [[ default == \c\p\p ]]
2025-08-26T20:22:36.3567294Z + unset TORCHINDUCTOR_CPP_WRAPPER
2025-08-26T20:22:36.3567963Z + local output_name=/var/lib/jenkins/workspace/test/test-reports/inductor_inference_resnet50_inductor_float32_dynamic_cpu_smoketest.csv
2025-08-26T20:22:36.3568485Z + [[ dynamic == \d\y\n\a\m\i\c ]]
2025-08-26T20:22:36.3569428Z + 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
2025-08-26T20:22:38.4628066Z 
2025-08-26T20:22:38.7576894Z 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
2025-08-26T20:22:38.7682658Z 
2025-08-26T20:22:38.7682665Z 
2025-08-26T20:22:38.8690415Z   0% 0.00/97.8M [00:00<?, ?B/s]
2025-08-26T20:22:38.8690599Z 
2025-08-26T20:22:38.9619483Z  54% 52.6M/97.8M [00:00<00:00, 551MB/s]
2025-08-26T20:22:38.9619841Z 100% 97.8M/97.8M [00:00<00:00, 531MB/s]
2025-08-26T20:22:39.3924958Z 
2025-08-26T20:22:39.3925465Z loading model: 0it [00:00, ?it/s]
2025-08-26T20:22:39.3933177Z cpu  eval  resnet50                           
2025-08-26T20:22:47.5443051Z cudagraph partition due to non gpu ops
2025-08-26T20:22:47.5443381Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:47.5443770Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:47.5444097Z     return mod(*inputs)
2025-08-26T20:22:47.5444435Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:22:47.5444781Z     return self._forward_impl(x)
2025-08-26T20:22:47.5445132Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 270, in _forward_impl
2025-08-26T20:22:47.5445473Z     x = self.relu(x)
2025-08-26T20:22:47.5445571Z 
2025-08-26T20:22:47.5445675Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:47.5446064Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:47.5446405Z     return mod(*inputs)
2025-08-26T20:22:47.5446721Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:22:47.5447061Z     return self._forward_impl(x)
2025-08-26T20:22:47.5447538Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 270, in _forward_impl
2025-08-26T20:22:47.5447885Z     x = self.relu(x)
2025-08-26T20:22:47.5447989Z 
2025-08-26T20:22:47.5448092Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:47.5448442Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:47.5448758Z     return mod(*inputs)
2025-08-26T20:22:47.5449061Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:22:47.5449397Z     return self._forward_impl(x)
2025-08-26T20:22:47.5449984Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 271, in _forward_impl
2025-08-26T20:22:47.5450346Z     x = self.maxpool(x)
2025-08-26T20:22:47.5450450Z 
2025-08-26T20:22:47.5450553Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:47.5450909Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:47.5451228Z     return mod(*inputs)
2025-08-26T20:22:47.5451541Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:22:47.5451885Z     return self._forward_impl(x)
2025-08-26T20:22:47.5452218Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-26T20:22:47.5452567Z     x = self.layer1(x)
2025-08-26T20:22:47.5452885Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:22:47.5453229Z     out = self.relu(out)
2025-08-26T20:22:47.5453337Z 
2025-08-26T20:22:47.5453446Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:47.5453798Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:47.5454109Z     return mod(*inputs)
2025-08-26T20:22:47.5454416Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:22:47.5454748Z     return self._forward_impl(x)
2025-08-26T20:22:47.5455078Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-26T20:22:47.5455420Z     x = self.layer1(x)
2025-08-26T20:22:47.5455726Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:22:47.5456057Z     out = self.relu(out)
2025-08-26T20:22:47.5456162Z 
2025-08-26T20:22:47.5456369Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:47.5456719Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:47.5457032Z     return mod(*inputs)
2025-08-26T20:22:47.5457342Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:22:47.5457682Z     return self._forward_impl(x)
2025-08-26T20:22:47.5458012Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-26T20:22:47.5458356Z     x = self.layer1(x)
2025-08-26T20:22:47.5458664Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:22:47.5458994Z     out = self.relu(out)
2025-08-26T20:22:47.5459100Z 
2025-08-26T20:22:47.5459201Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:47.5459547Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:47.5459858Z     return mod(*inputs)
2025-08-26T20:22:47.5460166Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:22:47.5460497Z     return self._forward_impl(x)
2025-08-26T20:22:47.5460822Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-26T20:22:47.5461158Z     x = self.layer1(x)
2025-08-26T20:22:47.5461461Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:22:47.5461789Z     out = self.relu(out)
2025-08-26T20:22:47.5461890Z 
2025-08-26T20:22:47.5461989Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:47.5462333Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:47.5462640Z     return mod(*inputs)
2025-08-26T20:22:47.5462941Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:22:47.5463319Z     return self._forward_impl(x)
2025-08-26T20:22:47.5463653Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-26T20:22:47.5463992Z     x = self.layer1(x)
2025-08-26T20:22:47.5464300Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-08-26T20:22:47.5464627Z     out = self.relu(out)
2025-08-26T20:22:47.5464732Z 
2025-08-26T20:22:47.5464833Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:47.5465181Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:47.5465494Z     return mod(*inputs)
2025-08-26T20:22:47.5465887Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:22:47.5466228Z     return self._forward_impl(x)
2025-08-26T20:22:47.5466564Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-26T20:22:47.5466910Z     x = self.layer1(x)
2025-08-26T20:22:47.5467226Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-08-26T20:22:47.5467558Z     out = self.relu(out)
2025-08-26T20:22:47.5467664Z 
2025-08-26T20:22:47.5467749Z cudagraph partition due to non gpu ops
2025-08-26T20:22:47.5467996Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:47.5468350Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:47.5468665Z     return mod(*inputs)
2025-08-26T20:22:47.5468974Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:22:47.5469297Z     return self._forward_impl(x)
2025-08-26T20:22:47.5469633Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-26T20:22:47.5470026Z     x = self.layer1(x)
2025-08-26T20:22:47.5470333Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:22:47.5470657Z     out = self.relu(out)
2025-08-26T20:22:47.5470768Z 
2025-08-26T20:22:47.5470869Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:47.5471214Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:47.5471528Z     return mod(*inputs)
2025-08-26T20:22:47.5471833Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:22:47.5472161Z     return self._forward_impl(x)
2025-08-26T20:22:47.5472505Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-26T20:22:47.5472834Z     x = self.layer1(x)
2025-08-26T20:22:47.5473132Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:22:47.5473447Z     out = self.relu(out)
2025-08-26T20:22:47.5473556Z 
2025-08-26T20:22:47.5473653Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:47.5473987Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:47.5474290Z     return mod(*inputs)
2025-08-26T20:22:47.5474585Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:22:47.5474905Z     return self._forward_impl(x)
2025-08-26T20:22:47.5475229Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-26T20:22:47.5475555Z     x = self.layer1(x)
2025-08-26T20:22:47.5475847Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:22:47.5476159Z     out = self.relu(out)
2025-08-26T20:22:47.5476266Z 
2025-08-26T20:22:47.5476407Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:47.5476746Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:47.5477044Z     return mod(*inputs)
2025-08-26T20:22:47.5477341Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:22:47.5477658Z     return self._forward_impl(x)
2025-08-26T20:22:47.5477981Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-26T20:22:47.5478308Z     x = self.layer1(x)
2025-08-26T20:22:47.5478600Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:22:47.5478914Z     out = self.relu(out)
2025-08-26T20:22:47.5479023Z 
2025-08-26T20:22:47.5479104Z cudagraph partition due to non gpu ops
2025-08-26T20:22:47.5479339Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:47.5479675Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:47.5479979Z     return mod(*inputs)
2025-08-26T20:22:47.5480272Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:22:47.5480602Z     return self._forward_impl(x)
2025-08-26T20:22:47.5480927Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-26T20:22:47.5481260Z     x = self.layer1(x)
2025-08-26T20:22:47.5481545Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:22:47.5481868Z     out = self.relu(out)
2025-08-26T20:22:47.5481974Z 
2025-08-26T20:22:47.5482070Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:47.5482405Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:47.5483521Z     return mod(*inputs)
2025-08-26T20:22:47.5483818Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:22:47.5484148Z     return self._forward_impl(x)
2025-08-26T20:22:47.5484478Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-26T20:22:47.5484830Z     x = self.layer1(x)
2025-08-26T20:22:47.5485126Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:22:47.5485445Z     out = self.relu(out)
2025-08-26T20:22:47.5485545Z 
2025-08-26T20:22:47.5485649Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:47.5485972Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:47.5486278Z     return mod(*inputs)
2025-08-26T20:22:47.5486580Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:22:47.5486907Z     return self._forward_impl(x)
2025-08-26T20:22:47.5487227Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-26T20:22:47.5487561Z     x = self.layer1(x)
2025-08-26T20:22:47.5487856Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:22:47.5488181Z     out = self.relu(out)
2025-08-26T20:22:47.5488280Z 
2025-08-26T20:22:47.5488387Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:47.5488720Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:47.5489024Z     return mod(*inputs)
2025-08-26T20:22:47.5489320Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:22:47.5489649Z     return self._forward_impl(x)
2025-08-26T20:22:47.5490006Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-26T20:22:47.5490341Z     x = self.layer1(x)
2025-08-26T20:22:47.5490635Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:22:47.5490957Z     out = self.relu(out)
2025-08-26T20:22:47.5491055Z 
2025-08-26T20:22:47.5491144Z cudagraph partition due to non gpu ops
2025-08-26T20:22:47.5491365Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:47.5491700Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:47.5492005Z     return mod(*inputs)
2025-08-26T20:22:47.5492302Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:22:47.5492619Z     return self._forward_impl(x)
2025-08-26T20:22:47.5492953Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-26T20:22:47.5493281Z     x = self.layer2(x)
2025-08-26T20:22:47.5493572Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:22:47.5493891Z     out = self.relu(out)
2025-08-26T20:22:47.5493990Z 
2025-08-26T20:22:47.5494087Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:47.5494420Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:47.5494720Z     return mod(*inputs)
2025-08-26T20:22:47.5495018Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:22:47.5495335Z     return self._forward_impl(x)
2025-08-26T20:22:47.5495660Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-26T20:22:47.5496036Z     x = self.layer2(x)
2025-08-26T20:22:47.5496341Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:22:47.5496666Z     out = self.relu(out)
2025-08-26T20:22:47.5496766Z 
2025-08-26T20:22:47.5496863Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:47.5497203Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:47.5497509Z     return mod(*inputs)
2025-08-26T20:22:47.5497813Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:22:47.5498141Z     return self._forward_impl(x)
2025-08-26T20:22:47.5498473Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-26T20:22:47.5498808Z     x = self.layer2(x)
2025-08-26T20:22:47.5499108Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:22:47.5499434Z     out = self.relu(out)
2025-08-26T20:22:47.5499537Z 
2025-08-26T20:22:47.5499637Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:47.5499976Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:47.5500277Z     return mod(*inputs)
2025-08-26T20:22:47.5500578Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:22:47.5500899Z     return self._forward_impl(x)
2025-08-26T20:22:47.5501230Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-26T20:22:47.5501564Z     x = self.layer2(x)
2025-08-26T20:22:47.5501863Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:22:47.5502185Z     out = self.relu(out)
2025-08-26T20:22:47.5502289Z 
2025-08-26T20:22:47.5502388Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:47.5502808Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:47.5503118Z     return mod(*inputs)
2025-08-26T20:22:47.5503420Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:22:47.5503737Z     return self._forward_impl(x)
2025-08-26T20:22:47.5504066Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-26T20:22:47.5504400Z     x = self.layer2(x)
2025-08-26T20:22:47.5504694Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-08-26T20:22:47.5505016Z     out = self.relu(out)
2025-08-26T20:22:47.5505118Z 
2025-08-26T20:22:47.5505216Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:47.5505558Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:47.5505864Z     return mod(*inputs)
2025-08-26T20:22:47.5506168Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:22:47.5506490Z     return self._forward_impl(x)
2025-08-26T20:22:47.5506819Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-26T20:22:47.5507154Z     x = self.layer2(x)
2025-08-26T20:22:47.5507450Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-08-26T20:22:47.5507766Z     out = self.relu(out)
2025-08-26T20:22:47.5507864Z 
2025-08-26T20:22:47.5507944Z cudagraph partition due to non gpu ops
2025-08-26T20:22:47.5508173Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:47.5508513Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:47.5508875Z     return mod(*inputs)
2025-08-26T20:22:47.5509183Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:22:47.5509526Z     return self._forward_impl(x)
2025-08-26T20:22:47.5509867Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-26T20:22:47.5510208Z     x = self.layer2(x)
2025-08-26T20:22:47.5510512Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:22:47.5510838Z     out = self.relu(out)
2025-08-26T20:22:47.5510948Z 
2025-08-26T20:22:47.5511050Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:47.5511396Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:47.5511712Z     return mod(*inputs)
2025-08-26T20:22:47.5512012Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:22:47.5512359Z     return self._forward_impl(x)
2025-08-26T20:22:47.5512703Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-26T20:22:47.5513051Z     x = self.layer2(x)
2025-08-26T20:22:47.5513361Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:22:47.5513684Z     out = self.relu(out)
2025-08-26T20:22:47.5513792Z 
2025-08-26T20:22:47.5513892Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:47.5514238Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:47.5514550Z     return mod(*inputs)
2025-08-26T20:22:47.5514848Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:22:47.5515185Z     return self._forward_impl(x)
2025-08-26T20:22:47.5515526Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-26T20:22:47.5515898Z     x = self.layer2(x)
2025-08-26T20:22:47.5516206Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:22:47.5516529Z     out = self.relu(out)
2025-08-26T20:22:47.5516639Z 
2025-08-26T20:22:47.5516738Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:47.5517084Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:47.5517394Z     return mod(*inputs)
2025-08-26T20:22:47.5517693Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:22:47.5518029Z     return self._forward_impl(x)
2025-08-26T20:22:47.5518363Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-26T20:22:47.5518706Z     x = self.layer2(x)
2025-08-26T20:22:47.5519015Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:22:47.5519338Z     out = self.relu(out)
2025-08-26T20:22:47.5519445Z 
2025-08-26T20:22:47.5519526Z cudagraph partition due to non gpu ops
2025-08-26T20:22:47.5519759Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:47.5520100Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:47.5520401Z     return mod(*inputs)
2025-08-26T20:22:47.5520708Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:22:47.5521041Z     return self._forward_impl(x)
2025-08-26T20:22:47.5521375Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-26T20:22:47.5521709Z     x = self.layer2(x)
2025-08-26T20:22:47.5522006Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:22:47.5522373Z     out = self.relu(out)
2025-08-26T20:22:47.5522486Z 
2025-08-26T20:22:47.5522585Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:47.5522931Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:47.5523233Z     return mod(*inputs)
2025-08-26T20:22:47.5523540Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:22:47.5523870Z     return self._forward_impl(x)
2025-08-26T20:22:47.5524206Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-26T20:22:47.5524549Z     x = self.layer2(x)
2025-08-26T20:22:47.5524843Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:22:47.5525171Z     out = self.relu(out)
2025-08-26T20:22:47.5525284Z 
2025-08-26T20:22:47.5525383Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:47.5525734Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:47.5526040Z     return mod(*inputs)
2025-08-26T20:22:47.5526349Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:22:47.5526684Z     return self._forward_impl(x)
2025-08-26T20:22:47.5527020Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-26T20:22:47.5527365Z     x = self.layer2(x)
2025-08-26T20:22:47.5527662Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:22:47.5527989Z     out = self.relu(out)
2025-08-26T20:22:47.5528099Z 
2025-08-26T20:22:47.5528200Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:47.5528548Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:47.5528887Z     return mod(*inputs)
2025-08-26T20:22:47.5529197Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:22:47.5529529Z     return self._forward_impl(x)
2025-08-26T20:22:47.5529865Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-26T20:22:47.5530208Z     x = self.layer2(x)
2025-08-26T20:22:47.5530501Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:22:47.5530828Z     out = self.relu(out)
2025-08-26T20:22:47.5530940Z 
2025-08-26T20:22:47.5531022Z cudagraph partition due to non gpu ops
2025-08-26T20:22:47.5531258Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:47.5531593Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:47.5531907Z     return mod(*inputs)
2025-08-26T20:22:47.5532216Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:22:47.5532551Z     return self._forward_impl(x)
2025-08-26T20:22:47.5532893Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-26T20:22:47.5533229Z     x = self.layer2(x)
2025-08-26T20:22:47.5533534Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:22:47.5533862Z     out = self.relu(out)
2025-08-26T20:22:47.5533964Z 
2025-08-26T20:22:47.5534073Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:47.5534409Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:47.5534719Z     return mod(*inputs)
2025-08-26T20:22:47.5535027Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:22:47.5535393Z     return self._forward_impl(x)
2025-08-26T20:22:47.5535733Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-26T20:22:47.5536070Z     x = self.layer2(x)
2025-08-26T20:22:47.5536373Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:22:47.5536702Z     out = self.relu(out)
2025-08-26T20:22:47.5536803Z 
2025-08-26T20:22:47.5536911Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:47.5537253Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:47.5537565Z     return mod(*inputs)
2025-08-26T20:22:47.5537876Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:22:47.5538212Z     return self._forward_impl(x)
2025-08-26T20:22:47.5538558Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-26T20:22:47.5538899Z     x = self.layer2(x)
2025-08-26T20:22:47.5539203Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:22:47.5539533Z     out = self.relu(out)
2025-08-26T20:22:47.5539637Z 
2025-08-26T20:22:47.5539745Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:47.5540084Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:47.5540400Z     return mod(*inputs)
2025-08-26T20:22:47.5540711Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:22:47.5541052Z     return self._forward_impl(x)
2025-08-26T20:22:47.5541390Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-26T20:22:47.5541732Z     x = self.layer2(x)
2025-08-26T20:22:47.5542088Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:22:47.5542421Z     out = self.relu(out)
2025-08-26T20:22:47.5542523Z 
2025-08-26T20:22:47.5542610Z cudagraph partition due to non gpu ops
2025-08-26T20:22:47.5542838Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:47.5543189Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:47.5543503Z     return mod(*inputs)
2025-08-26T20:22:47.5543811Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:22:47.5544147Z     return self._forward_impl(x)
2025-08-26T20:22:47.5544477Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-26T20:22:47.5544821Z     x = self.layer3(x)
2025-08-26T20:22:47.5545134Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:22:47.5545462Z     out = self.relu(out)
2025-08-26T20:22:47.5545564Z 
2025-08-26T20:22:47.5545664Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:47.5546012Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:47.5546323Z     return mod(*inputs)
2025-08-26T20:22:47.5546631Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:22:47.5546966Z     return self._forward_impl(x)
2025-08-26T20:22:47.5547297Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-26T20:22:47.5547651Z     x = self.layer3(x)
2025-08-26T20:22:47.5547949Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:22:47.5548298Z     out = self.relu(out)
2025-08-26T20:22:47.5548399Z 
2025-08-26T20:22:47.5548498Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:47.5548834Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:47.5549132Z     return mod(*inputs)
2025-08-26T20:22:47.5549430Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:22:47.5549752Z     return self._forward_impl(x)
2025-08-26T20:22:47.5550072Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-26T20:22:47.5550401Z     x = self.layer3(x)
2025-08-26T20:22:47.5550692Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:22:47.5551009Z     out = self.relu(out)
2025-08-26T20:22:47.5551108Z 
2025-08-26T20:22:47.5551205Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:47.5551545Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:47.5551844Z     return mod(*inputs)
2025-08-26T20:22:47.5552137Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:22:47.5552459Z     return self._forward_impl(x)
2025-08-26T20:22:47.5552779Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-26T20:22:47.5553111Z     x = self.layer3(x)
2025-08-26T20:22:47.5553404Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:22:47.5553723Z     out = self.relu(out)
2025-08-26T20:22:47.5553822Z 
2025-08-26T20:22:47.5553920Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:47.5554255Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:47.5554558Z     return mod(*inputs)
2025-08-26T20:22:47.5554891Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:22:47.5555227Z     return self._forward_impl(x)
2025-08-26T20:22:47.5555552Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-26T20:22:47.5555891Z     x = self.layer3(x)
2025-08-26T20:22:47.5556190Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-08-26T20:22:47.5556516Z     out = self.relu(out)
2025-08-26T20:22:47.5556616Z 
2025-08-26T20:22:47.5556713Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:47.5557050Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:47.5557355Z     return mod(*inputs)
2025-08-26T20:22:47.5557651Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:22:47.5557983Z     return self._forward_impl(x)
2025-08-26T20:22:47.5558304Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-26T20:22:47.5558637Z     x = self.layer3(x)
2025-08-26T20:22:47.5558936Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-08-26T20:22:47.5559262Z     out = self.relu(out)
2025-08-26T20:22:47.5559362Z 
2025-08-26T20:22:47.5559439Z cudagraph partition due to non gpu ops
2025-08-26T20:22:47.5559672Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:47.5560013Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:47.5560318Z     return mod(*inputs)
2025-08-26T20:22:47.5560609Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:22:47.5560971Z     return self._forward_impl(x)
2025-08-26T20:22:47.5561304Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-26T20:22:47.5561638Z     x = self.layer3(x)
2025-08-26T20:22:47.5561938Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:22:47.5562253Z     out = self.relu(out)
2025-08-26T20:22:47.5562359Z 
2025-08-26T20:22:47.5562455Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:47.5562793Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:47.5563094Z     return mod(*inputs)
2025-08-26T20:22:47.5563386Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:22:47.5563714Z     return self._forward_impl(x)
2025-08-26T20:22:47.5564044Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-26T20:22:47.5564380Z     x = self.layer3(x)
2025-08-26T20:22:47.5564680Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:22:47.5564998Z     out = self.relu(out)
2025-08-26T20:22:47.5565105Z 
2025-08-26T20:22:47.5565203Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:47.5565544Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:47.5565889Z     return mod(*inputs)
2025-08-26T20:22:47.5566179Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:22:47.5566505Z     return self._forward_impl(x)
2025-08-26T20:22:47.5566837Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-26T20:22:47.5567171Z     x = self.layer3(x)
2025-08-26T20:22:47.5567476Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:22:47.5567853Z     out = self.relu(out)
2025-08-26T20:22:47.5567963Z 
2025-08-26T20:22:47.5568060Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:47.5568397Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:47.5568699Z     return mod(*inputs)
2025-08-26T20:22:47.5568989Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:22:47.5569314Z     return self._forward_impl(x)
2025-08-26T20:22:47.5569641Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-26T20:22:47.5569977Z     x = self.layer3(x)
2025-08-26T20:22:47.5570279Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:22:47.5570599Z     out = self.relu(out)
2025-08-26T20:22:47.5570710Z 
2025-08-26T20:22:47.5570794Z cudagraph partition due to non gpu ops
2025-08-26T20:22:47.5571031Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:47.5571369Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:47.5571665Z     return mod(*inputs)
2025-08-26T20:22:47.5571968Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:22:47.5572296Z     return self._forward_impl(x)
2025-08-26T20:22:47.5572626Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-26T20:22:47.5572962Z     x = self.layer3(x)
2025-08-26T20:22:47.5573250Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:22:47.5573568Z     out = self.relu(out)
2025-08-26T20:22:47.5573724Z 
2025-08-26T20:22:47.5573824Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:47.5574162Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:47.5574461Z     return mod(*inputs)
2025-08-26T20:22:47.5574758Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:22:47.5575088Z     return self._forward_impl(x)
2025-08-26T20:22:47.5575415Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-26T20:22:47.5575746Z     x = self.layer3(x)
2025-08-26T20:22:47.5576034Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:22:47.5576353Z     out = self.relu(out)
2025-08-26T20:22:47.5576457Z 
2025-08-26T20:22:47.5576556Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:47.5576896Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:47.5577195Z     return mod(*inputs)
2025-08-26T20:22:47.5577500Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:22:47.5577822Z     return self._forward_impl(x)
2025-08-26T20:22:47.5578146Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-26T20:22:47.5578475Z     x = self.layer3(x)
2025-08-26T20:22:47.5578764Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:22:47.5579086Z     out = self.relu(out)
2025-08-26T20:22:47.5579195Z 
2025-08-26T20:22:47.5579292Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:47.5579626Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:47.5579921Z     return mod(*inputs)
2025-08-26T20:22:47.5580222Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:22:47.5580794Z     return self._forward_impl(x)
2025-08-26T20:22:47.5581129Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-26T20:22:47.5581462Z     x = self.layer3(x)
2025-08-26T20:22:47.5581752Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:22:47.5582072Z     out = self.relu(out)
2025-08-26T20:22:47.5582178Z 
2025-08-26T20:22:47.5582258Z cudagraph partition due to non gpu ops
2025-08-26T20:22:47.5582492Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:47.5582816Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:47.5583121Z     return mod(*inputs)
2025-08-26T20:22:47.5583424Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:22:47.5583760Z     return self._forward_impl(x)
2025-08-26T20:22:47.5584094Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-26T20:22:47.5584417Z     x = self.layer3(x)
2025-08-26T20:22:47.5584715Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:22:47.5585030Z     out = self.relu(out)
2025-08-26T20:22:47.5585128Z 
2025-08-26T20:22:47.5585234Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:47.5585562Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:47.5585855Z     return mod(*inputs)
2025-08-26T20:22:47.5586151Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:22:47.5586473Z     return self._forward_impl(x)
2025-08-26T20:22:47.5586844Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-26T20:22:47.5587179Z     x = self.layer3(x)
2025-08-26T20:22:47.5587483Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:22:47.5587806Z     out = self.relu(out)
2025-08-26T20:22:47.5587908Z 
2025-08-26T20:22:47.5588017Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:47.5588351Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:47.5588657Z     return mod(*inputs)
2025-08-26T20:22:47.5588961Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:22:47.5589294Z     return self._forward_impl(x)
2025-08-26T20:22:47.5589627Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-26T20:22:47.5589960Z     x = self.layer3(x)
2025-08-26T20:22:47.5590263Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:22:47.5590584Z     out = self.relu(out)
2025-08-26T20:22:47.5590687Z 
2025-08-26T20:22:47.5590794Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:47.5591125Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:47.5591432Z     return mod(*inputs)
2025-08-26T20:22:47.5591732Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:22:47.5592062Z     return self._forward_impl(x)
2025-08-26T20:22:47.5592394Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-26T20:22:47.5592720Z     x = self.layer3(x)
2025-08-26T20:22:47.5593022Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:22:47.5593351Z     out = self.relu(out)
2025-08-26T20:22:47.5593453Z 
2025-08-26T20:22:47.5593586Z cudagraph partition due to non gpu ops
2025-08-26T20:22:47.5593809Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:47.5594145Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:47.5594445Z     return mod(*inputs)
2025-08-26T20:22:47.5594743Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:22:47.5595069Z     return self._forward_impl(x)
2025-08-26T20:22:47.5595388Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-26T20:22:47.5595720Z     x = self.layer3(x)
2025-08-26T20:22:47.5596017Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:22:47.5596335Z     out = self.relu(out)
2025-08-26T20:22:47.5596435Z 
2025-08-26T20:22:47.5596536Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:47.5596872Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:47.5597176Z     return mod(*inputs)
2025-08-26T20:22:47.5597474Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:22:47.5597807Z     return self._forward_impl(x)
2025-08-26T20:22:47.5598129Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-26T20:22:47.5598458Z     x = self.layer3(x)
2025-08-26T20:22:47.5598757Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:22:47.5599078Z     out = self.relu(out)
2025-08-26T20:22:47.5599178Z 
2025-08-26T20:22:47.5599276Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:47.5599640Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:47.5599946Z     return mod(*inputs)
2025-08-26T20:22:47.5600246Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:22:47.5600569Z     return self._forward_impl(x)
2025-08-26T20:22:47.5600889Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-26T20:22:47.5601223Z     x = self.layer3(x)
2025-08-26T20:22:47.5601518Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:22:47.5601837Z     out = self.relu(out)
2025-08-26T20:22:47.5601936Z 
2025-08-26T20:22:47.5602032Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:47.5602364Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:47.5602667Z     return mod(*inputs)
2025-08-26T20:22:47.5602969Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:22:47.5603291Z     return self._forward_impl(x)
2025-08-26T20:22:47.5603612Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-26T20:22:47.5603940Z     x = self.layer3(x)
2025-08-26T20:22:47.5604238Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:22:47.5604555Z     out = self.relu(out)
2025-08-26T20:22:47.5604654Z 
2025-08-26T20:22:47.5604731Z cudagraph partition due to non gpu ops
2025-08-26T20:22:47.5604959Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:47.5605297Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:47.5605598Z     return mod(*inputs)
2025-08-26T20:22:47.5605893Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:22:47.5606240Z     return self._forward_impl(x)
2025-08-26T20:22:47.5606571Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-26T20:22:47.5606903Z     x = self.layer3(x)
2025-08-26T20:22:47.5607195Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:22:47.5607508Z     out = self.relu(out)
2025-08-26T20:22:47.5607616Z 
2025-08-26T20:22:47.5607714Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:47.5608050Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:47.5608346Z     return mod(*inputs)
2025-08-26T20:22:47.5608644Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:22:47.5608962Z     return self._forward_impl(x)
2025-08-26T20:22:47.5609291Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-26T20:22:47.5609622Z     x = self.layer3(x)
2025-08-26T20:22:47.5609920Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:22:47.5610230Z     out = self.relu(out)
2025-08-26T20:22:47.5610337Z 
2025-08-26T20:22:47.5610435Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:47.5610768Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:47.5611071Z     return mod(*inputs)
2025-08-26T20:22:47.5611371Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:22:47.5611691Z     return self._forward_impl(x)
2025-08-26T20:22:47.5612020Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-26T20:22:47.5612404Z     x = self.layer3(x)
2025-08-26T20:22:47.5612704Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:22:47.5613016Z     out = self.relu(out)
2025-08-26T20:22:47.5613122Z 
2025-08-26T20:22:47.5613218Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:47.5613554Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:47.5613857Z     return mod(*inputs)
2025-08-26T20:22:47.5614156Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:22:47.5614475Z     return self._forward_impl(x)
2025-08-26T20:22:47.5614806Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-26T20:22:47.5615135Z     x = self.layer3(x)
2025-08-26T20:22:47.5615431Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:22:47.5615750Z     out = self.relu(out)
2025-08-26T20:22:47.5615858Z 
2025-08-26T20:22:47.5615937Z cudagraph partition due to non gpu ops
2025-08-26T20:22:47.5616167Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:47.5616503Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:47.5616806Z     return mod(*inputs)
2025-08-26T20:22:47.5617098Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:22:47.5617422Z     return self._forward_impl(x)
2025-08-26T20:22:47.5617746Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-26T20:22:47.5618077Z     x = self.layer4(x)
2025-08-26T20:22:47.5618363Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:22:47.5618683Z     out = self.relu(out)
2025-08-26T20:22:47.5618788Z 
2025-08-26T20:22:47.5618915Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:47.5619251Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:47.5619552Z     return mod(*inputs)
2025-08-26T20:22:47.5619841Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:22:47.5620165Z     return self._forward_impl(x)
2025-08-26T20:22:47.5620488Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-26T20:22:47.5620820Z     x = self.layer4(x)
2025-08-26T20:22:47.5621106Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:22:47.5621424Z     out = self.relu(out)
2025-08-26T20:22:47.5621531Z 
2025-08-26T20:22:47.5621628Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:47.5621968Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:47.5622271Z     return mod(*inputs)
2025-08-26T20:22:47.5622561Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:22:47.5622885Z     return self._forward_impl(x)
2025-08-26T20:22:47.5623212Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-26T20:22:47.5623543Z     x = self.layer4(x)
2025-08-26T20:22:47.5623831Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:22:47.5624151Z     out = self.relu(out)
2025-08-26T20:22:47.5624257Z 
2025-08-26T20:22:47.5624355Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:47.5624690Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:47.5625020Z     return mod(*inputs)
2025-08-26T20:22:47.5625312Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:22:47.5625638Z     return self._forward_impl(x)
2025-08-26T20:22:47.5625968Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-26T20:22:47.5626301Z     x = self.layer4(x)
2025-08-26T20:22:47.5626585Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:22:47.5626902Z     out = self.relu(out)
2025-08-26T20:22:47.5627009Z 
2025-08-26T20:22:47.5627105Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:47.5627438Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:47.5627737Z     return mod(*inputs)
2025-08-26T20:22:47.5628029Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:22:47.5628359Z     return self._forward_impl(x)
2025-08-26T20:22:47.5628686Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-26T20:22:47.5629015Z     x = self.layer4(x)
2025-08-26T20:22:47.5629299Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-08-26T20:22:47.5629617Z     out = self.relu(out)
2025-08-26T20:22:47.5629725Z 
2025-08-26T20:22:47.5629821Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:47.5630158Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:47.5630458Z     return mod(*inputs)
2025-08-26T20:22:47.5630749Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:22:47.5631072Z     return self._forward_impl(x)
2025-08-26T20:22:47.5631435Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-26T20:22:47.5631774Z     x = self.layer4(x)
2025-08-26T20:22:47.5632067Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-08-26T20:22:47.5632391Z     out = self.relu(out)
2025-08-26T20:22:47.5632499Z 
2025-08-26T20:22:47.5632577Z cudagraph partition due to non gpu ops
2025-08-26T20:22:47.5632806Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:47.5633135Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:47.5633437Z     return mod(*inputs)
2025-08-26T20:22:47.5633739Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:22:47.5634066Z     return self._forward_impl(x)
2025-08-26T20:22:47.5634398Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-26T20:22:47.5634728Z     x = self.layer4(x)
2025-08-26T20:22:47.5635026Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:22:47.5635347Z     out = self.relu(out)
2025-08-26T20:22:47.5635445Z 
2025-08-26T20:22:47.5635552Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:47.5635884Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:47.5636190Z     return mod(*inputs)
2025-08-26T20:22:47.5636495Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:22:47.5636829Z     return self._forward_impl(x)
2025-08-26T20:22:47.5637161Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-26T20:22:47.5637487Z     x = self.layer4(x)
2025-08-26T20:22:47.5637830Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:22:47.5638153Z     out = self.relu(out)
2025-08-26T20:22:47.5638251Z 
2025-08-26T20:22:47.5638353Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:47.5638684Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:47.5638991Z     return mod(*inputs)
2025-08-26T20:22:47.5639291Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:22:47.5639620Z     return self._forward_impl(x)
2025-08-26T20:22:47.5639949Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-26T20:22:47.5640273Z     x = self.layer4(x)
2025-08-26T20:22:47.5640567Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:22:47.5640887Z     out = self.relu(out)
2025-08-26T20:22:47.5640986Z 
2025-08-26T20:22:47.5641093Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:47.5641421Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:47.5641725Z     return mod(*inputs)
2025-08-26T20:22:47.5642023Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:22:47.5642348Z     return self._forward_impl(x)
2025-08-26T20:22:47.5642677Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-26T20:22:47.5643000Z     x = self.layer4(x)
2025-08-26T20:22:47.5643298Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:22:47.5643615Z     out = self.relu(out)
2025-08-26T20:22:47.5643714Z 
2025-08-26T20:22:47.5643827Z cudagraph partition due to non gpu ops
2025-08-26T20:22:47.5644062Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:47.5644421Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:47.5644725Z     return mod(*inputs)
2025-08-26T20:22:47.5645023Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:22:47.5645350Z     return self._forward_impl(x)
2025-08-26T20:22:47.5645683Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-26T20:22:47.5646006Z     x = self.layer4(x)
2025-08-26T20:22:47.5646303Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:22:47.5646624Z     out = self.relu(out)
2025-08-26T20:22:47.5646722Z 
2025-08-26T20:22:47.5646830Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:47.5647156Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:47.5647460Z     return mod(*inputs)
2025-08-26T20:22:47.5647762Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:22:47.5648088Z     return self._forward_impl(x)
2025-08-26T20:22:47.5648417Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-26T20:22:47.5648739Z     x = self.layer4(x)
2025-08-26T20:22:47.5649035Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:22:47.5649355Z     out = self.relu(out)
2025-08-26T20:22:47.5649454Z 
2025-08-26T20:22:47.5649557Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:47.5649892Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:47.5650196Z     return mod(*inputs)
2025-08-26T20:22:47.5650530Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:22:47.5650860Z     return self._forward_impl(x)
2025-08-26T20:22:47.5651194Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-26T20:22:47.5651527Z     x = self.layer4(x)
2025-08-26T20:22:47.5651829Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:22:47.5652160Z     out = self.relu(out)
2025-08-26T20:22:47.5652265Z 
2025-08-26T20:22:47.5652372Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:47.5652709Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:47.5653014Z     return mod(*inputs)
2025-08-26T20:22:47.5653318Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:22:47.5653659Z     return self._forward_impl(x)
2025-08-26T20:22:47.5653998Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-26T20:22:47.5654330Z     x = self.layer4(x)
2025-08-26T20:22:47.5654635Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:22:47.5654960Z     out = self.relu(out)
2025-08-26T20:22:47.5655062Z 
2025-08-26T20:22:47.5655150Z cudagraph partition due to non gpu ops
2025-08-26T20:22:47.5655355Z cudagraph partition due to non gpu ops
2025-08-26T20:22:47.5655589Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:47.5655930Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:47.5656240Z     return mod(*inputs)
2025-08-26T20:22:47.5656537Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:22:47.5656872Z     return self._forward_impl(x)
2025-08-26T20:22:47.5657241Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 278, in _forward_impl
2025-08-26T20:22:47.5657580Z     x = self.avgpool(x)
2025-08-26T20:22:47.5657676Z 
2025-08-26T20:22:47.5657763Z cudagraph partition due to non gpu ops
2025-08-26T20:22:47.5657962Z cudagraph partition due to non gpu ops
2025-08-26T20:22:56.1459190Z 
2025-08-26T20:22:56.3076447Z running benchmark:   0% 0/50 [00:00<?, ?it/s]
2025-08-26T20:22:56.4520241Z running benchmark:   2% 1/50 [00:00<00:07,  6.18it/s]
2025-08-26T20:22:56.5967672Z running benchmark:   4% 2/50 [00:00<00:07,  6.60it/s]
2025-08-26T20:22:56.7415612Z running benchmark:   6% 3/50 [00:00<00:06,  6.73it/s]
2025-08-26T20:22:56.8864473Z running benchmark:   8% 4/50 [00:00<00:06,  6.80it/s]
2025-08-26T20:22:57.0334421Z running benchmark:  10% 5/50 [00:00<00:06,  6.84it/s]
2025-08-26T20:22:57.1879046Z running benchmark:  12% 6/50 [00:00<00:06,  6.83it/s]
2025-08-26T20:22:57.3323481Z running benchmark:  14% 7/50 [00:01<00:06,  6.71it/s]
2025-08-26T20:22:57.4767153Z running benchmark:  16% 8/50 [00:01<00:06,  6.77it/s]
2025-08-26T20:22:57.6207259Z running benchmark:  18% 9/50 [00:01<00:06,  6.82it/s]
2025-08-26T20:22:57.7650032Z running benchmark:  20% 10/50 [00:01<00:05,  6.86it/s]
2025-08-26T20:22:57.9091558Z running benchmark:  22% 11/50 [00:01<00:05,  6.88it/s]
2025-08-26T20:22:58.0539199Z running benchmark:  24% 12/50 [00:01<00:05,  6.90it/s]
2025-08-26T20:22:58.2120577Z running benchmark:  26% 13/50 [00:01<00:05,  6.90it/s]
2025-08-26T20:22:58.3570988Z running benchmark:  28% 14/50 [00:02<00:05,  6.72it/s]
2025-08-26T20:22:58.5013358Z running benchmark:  30% 15/50 [00:02<00:05,  6.77it/s]
2025-08-26T20:22:58.6474891Z running benchmark:  32% 16/50 [00:02<00:04,  6.82it/s]
2025-08-26T20:22:58.7929061Z running benchmark:  34% 17/50 [00:02<00:04,  6.83it/s]
2025-08-26T20:22:58.9396515Z running benchmark:  36% 18/50 [00:02<00:04,  6.84it/s]
2025-08-26T20:22:59.0842623Z running benchmark:  38% 19/50 [00:02<00:04,  6.83it/s]
2025-08-26T20:22:59.2371101Z running benchmark:  40% 20/50 [00:02<00:04,  6.86it/s]
2025-08-26T20:22:59.3876439Z running benchmark:  42% 21/50 [00:03<00:04,  6.76it/s]
2025-08-26T20:22:59.5340746Z running benchmark:  44% 22/50 [00:03<00:04,  6.73it/s]
2025-08-26T20:22:59.6797737Z running benchmark:  46% 23/50 [00:03<00:03,  6.76it/s]
2025-08-26T20:22:59.8258927Z running benchmark:  48% 24/50 [00:03<00:03,  6.79it/s]
2025-08-26T20:22:59.9713381Z running benchmark:  50% 25/50 [00:03<00:03,  6.80it/s]
2025-08-26T20:23:00.1178714Z running benchmark:  52% 26/50 [00:03<00:03,  6.82it/s]
2025-08-26T20:23:00.2640401Z running benchmark:  54% 27/50 [00:03<00:03,  6.82it/s]
2025-08-26T20:23:00.4224728Z running benchmark:  56% 28/50 [00:04<00:03,  6.83it/s]
2025-08-26T20:23:00.5686940Z running benchmark:  58% 29/50 [00:04<00:03,  6.67it/s]
2025-08-26T20:23:00.7148286Z running benchmark:  60% 30/50 [00:04<00:02,  6.72it/s]
2025-08-26T20:23:00.8615176Z running benchmark:  62% 31/50 [00:04<00:02,  6.75it/s]
2025-08-26T20:23:01.0073495Z running benchmark:  64% 32/50 [00:04<00:02,  6.77it/s]
2025-08-26T20:23:01.1530929Z running benchmark:  66% 33/50 [00:04<00:02,  6.80it/s]
2025-08-26T20:23:01.2978286Z running benchmark:  68% 34/50 [00:05<00:02,  6.82it/s]
2025-08-26T20:23:01.4544007Z running benchmark:  70% 35/50 [00:05<00:02,  6.84it/s]
2025-08-26T20:23:01.6010334Z running benchmark:  72% 36/50 [00:05<00:02,  6.70it/s]
2025-08-26T20:23:01.7472267Z running benchmark:  74% 37/50 [00:05<00:01,  6.74it/s]
2025-08-26T20:23:01.8933677Z running benchmark:  76% 38/50 [00:05<00:01,  6.77it/s]
2025-08-26T20:23:02.0393613Z running benchmark:  78% 39/50 [00:05<00:01,  6.79it/s]
2025-08-26T20:23:02.1855783Z running benchmark:  80% 40/50 [00:05<00:01,  6.81it/s]
2025-08-26T20:23:02.3317580Z running benchmark:  82% 41/50 [00:06<00:01,  6.82it/s]
2025-08-26T20:23:02.4797091Z running benchmark:  84% 42/50 [00:06<00:01,  6.82it/s]
2025-08-26T20:23:02.6343713Z running benchmark:  86% 43/50 [00:06<00:01,  6.80it/s]
2025-08-26T20:23:02.7803439Z running benchmark:  88% 44/50 [00:06<00:00,  6.70it/s]
2025-08-26T20:23:02.9272467Z running benchmark:  90% 45/50 [00:06<00:00,  6.74it/s]
2025-08-26T20:23:03.0733658Z running benchmark:  92% 46/50 [00:06<00:00,  6.77it/s]
2025-08-26T20:23:03.2195040Z running benchmark:  94% 47/50 [00:06<00:00,  6.78it/s]
2025-08-26T20:23:03.3654535Z running benchmark:  96% 48/50 [00:07<00:00,  6.80it/s]
2025-08-26T20:23:03.5117283Z running benchmark:  98% 49/50 [00:07<00:00,  6.82it/s]
2025-08-26T20:23:03.5117837Z running benchmark: 100% 50/50 [00:07<00:00,  6.82it/s]
2025-08-26T20:23:03.5118308Z running benchmark: 100% 50/50 [00:07<00:00,  6.79it/s]
2025-08-26T20:23:03.6153311Z 1.830x
2025-08-26T20:23:03.6153699Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:23:04.5752839Z + cat /var/lib/jenkins/workspace/test/test-reports/inductor_inference_resnet50_inductor_float32_dynamic_cpu_smoketest.csv
2025-08-26T20:23:04.5771789Z 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
2025-08-26T20:23:04.5772553Z cpu,resnet50,32,1.830423,51.142815,14.948762,0.962725,372.828979,387.264102,175,1,0,0,0,0,1
2025-08-26T20:23:04.5773296Z + 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
2025-08-26T20:23:04.8485095Z resnet50                           1.830423
2025-08-26T20:23:04.8845378Z + IFS=,
2025-08-26T20:23:04.8845592Z + read -r -a model_cfg
2025-08-26T20:23:04.8845851Z + local model_name=mobilenet_v3_large
2025-08-26T20:23:04.8846101Z + local data_type=float32
2025-08-26T20:23:04.8846316Z + local speedup_target=2.63311706
2025-08-26T20:23:04.8846530Z + local backend=inductor
2025-08-26T20:23:04.8846739Z + [[ cpp == \c\p\p ]]
2025-08-26T20:23:04.8847209Z + export TORCHINDUCTOR_CPP_WRAPPER=1
2025-08-26T20:23:04.8847457Z + TORCHINDUCTOR_CPP_WRAPPER=1
2025-08-26T20:23:04.8847978Z + local output_name=/var/lib/jenkins/workspace/test/test-reports/inductor_inference_mobilenet_v3_large_inductor_float32_static_cpu_smoketest.csv
2025-08-26T20:23:04.8848496Z + [[ static == \d\y\n\a\m\i\c ]]
2025-08-26T20:23:04.8849380Z + 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
2025-08-26T20:23:06.9554226Z 
2025-08-26T20:23:07.3795278Z loading model: 0it [00:00, ?it/s]
2025-08-26T20:23:07.3795614Z loading model: 0it [00:00, ?it/s]
2025-08-26T20:23:07.3810344Z cpu  eval  mobilenet_v3_large                 
2025-08-26T20:23:09.3516860Z skipping cudagraphs due to cpp wrapper enabled
2025-08-26T20:23:22.9369285Z 
2025-08-26T20:23:23.0424775Z running benchmark:   0% 0/50 [00:00<?, ?it/s]
2025-08-26T20:23:23.1749981Z running benchmark:   6% 3/50 [00:00<00:01, 28.47it/s]
2025-08-26T20:23:23.3077170Z running benchmark:  14% 7/50 [00:00<00:01, 29.57it/s]
2025-08-26T20:23:23.4106050Z running benchmark:  22% 11/50 [00:00<00:01, 29.84it/s]
2025-08-26T20:23:23.5434906Z running benchmark:  28% 14/50 [00:00<00:01, 29.60it/s]
2025-08-26T20:23:23.6756828Z running benchmark:  36% 18/50 [00:00<00:01, 29.80it/s]
2025-08-26T20:23:23.8074246Z running benchmark:  44% 22/50 [00:00<00:00, 29.96it/s]
2025-08-26T20:23:23.9395415Z running benchmark:  52% 26/50 [00:00<00:00, 30.10it/s]
2025-08-26T20:23:24.0712248Z running benchmark:  60% 30/50 [00:01<00:00, 30.15it/s]
2025-08-26T20:23:24.2026607Z running benchmark:  68% 34/50 [00:01<00:00, 30.22it/s]
2025-08-26T20:23:24.3344132Z running benchmark:  76% 38/50 [00:01<00:00, 30.29it/s]
2025-08-26T20:23:24.4681364Z running benchmark:  84% 42/50 [00:01<00:00, 30.31it/s]
2025-08-26T20:23:24.6015797Z running benchmark:  92% 46/50 [00:01<00:00, 30.19it/s]
2025-08-26T20:23:24.6016780Z running benchmark: 100% 50/50 [00:01<00:00, 30.12it/s]
2025-08-26T20:23:24.6017252Z running benchmark: 100% 50/50 [00:01<00:00, 30.03it/s]
2025-08-26T20:23:24.6791446Z 2.883x
2025-08-26T20:23:24.6791825Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:23:25.6499405Z + cat /var/lib/jenkins/workspace/test/test-reports/inductor_inference_mobilenet_v3_large_inductor_float32_static_cpu_smoketest.csv
2025-08-26T20:23:25.6516438Z 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
2025-08-26T20:23:25.6517240Z cpu,mobilenet_v3_large,32,2.882750,8.249310,14.424390,0.939787,206.032077,219.232666,187,1,0,0,0,0,1
2025-08-26T20:23:25.6518245Z + 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
2025-08-26T20:23:25.9003985Z mobilenet_v3_large                 2.88275
2025-08-26T20:23:25.9358811Z + IFS=,
2025-08-26T20:23:25.9359061Z + read -r -a model_cfg
2025-08-26T20:23:25.9359285Z + local model_name=timm_resnest
2025-08-26T20:23:25.9359510Z + local data_type=float32
2025-08-26T20:23:25.9359717Z + local speedup_target=1.7321529
2025-08-26T20:23:25.9359935Z + local backend=inductor
2025-08-26T20:23:25.9360140Z + [[ cpp == \c\p\p ]]
2025-08-26T20:23:25.9360357Z + export TORCHINDUCTOR_CPP_WRAPPER=1
2025-08-26T20:23:25.9360607Z + TORCHINDUCTOR_CPP_WRAPPER=1
2025-08-26T20:23:25.9361141Z + local output_name=/var/lib/jenkins/workspace/test/test-reports/inductor_inference_timm_resnest_inductor_float32_dynamic_cpu_smoketest.csv
2025-08-26T20:23:25.9361636Z + [[ dynamic == \d\y\n\a\m\i\c ]]
2025-08-26T20:23:25.9362615Z + taskset -c 0-93 python benchmarks/dynamo/torchbench.py --inference --performance --float32 -dcpu -n50 --only timm_resnest --dynamic-shapes --dynamic-batch-only --freezing --timeout 9000 --inductor --output /var/lib/jenkins/workspace/test/test-reports/inductor_inference_timm_resnest_inductor_float32_dynamic_cpu_smoketest.csv
2025-08-26T20:23:27.9856341Z 
2025-08-26T20:23:28.8889320Z loading model: 0it [00:00, ?it/s]
2025-08-26T20:23:28.8889576Z 
2025-08-26T20:23:28.9913097Z model.safetensors:   0% 0.00/42.6M [00:00<?, ?B/s]
2025-08-26T20:23:28.9913308Z 
2025-08-26T20:23:28.9913484Z model.safetensors: 100% 42.6M/42.6M [00:00<00:00, 416MB/s]
2025-08-26T20:23:28.9913768Z model.safetensors: 100% 42.6M/42.6M [00:00<00:00, 414MB/s]
2025-08-26T20:23:29.3183754Z 
2025-08-26T20:23:29.3184928Z loading model: 0it [00:01, ?it/s]
2025-08-26T20:23:29.3196484Z cpu  eval  timm_resnest                       
2025-08-26T20:23:31.4300086Z skipping cudagraphs due to cpp wrapper enabled
2025-08-26T20:23:46.6454566Z 
2025-08-26T20:23:46.7736246Z running benchmark:   0% 0/50 [00:00<?, ?it/s]
2025-08-26T20:23:46.8802952Z running benchmark:   2% 1/50 [00:00<00:06,  7.79it/s]
2025-08-26T20:23:46.9871048Z running benchmark:   4% 2/50 [00:00<00:05,  8.65it/s]
2025-08-26T20:23:47.0939780Z running benchmark:   6% 3/50 [00:00<00:05,  8.96it/s]
2025-08-26T20:23:47.2006691Z running benchmark:   8% 4/50 [00:00<00:05,  9.11it/s]
2025-08-26T20:23:47.3072567Z running benchmark:  10% 5/50 [00:00<00:04,  9.20it/s]
2025-08-26T20:23:47.4227233Z running benchmark:  12% 6/50 [00:00<00:04,  9.26it/s]
2025-08-26T20:23:47.5353214Z running benchmark:  14% 7/50 [00:00<00:04,  9.06it/s]
2025-08-26T20:23:47.6418668Z running benchmark:  16% 8/50 [00:00<00:04,  9.00it/s]
2025-08-26T20:23:47.7481942Z running benchmark:  18% 9/50 [00:00<00:04,  9.12it/s]
2025-08-26T20:23:47.8544314Z running benchmark:  20% 10/50 [00:01<00:04,  9.20it/s]
2025-08-26T20:23:47.9610369Z running benchmark:  22% 11/50 [00:01<00:04,  9.26it/s]
2025-08-26T20:23:48.0680843Z running benchmark:  24% 12/50 [00:01<00:04,  9.30it/s]
2025-08-26T20:23:48.1746685Z running benchmark:  26% 13/50 [00:01<00:03,  9.31it/s]
2025-08-26T20:23:48.2814233Z running benchmark:  28% 14/50 [00:01<00:03,  9.33it/s]
2025-08-26T20:23:48.3878435Z running benchmark:  30% 15/50 [00:01<00:03,  9.35it/s]
2025-08-26T20:23:48.5001411Z running benchmark:  32% 16/50 [00:01<00:03,  9.36it/s]
2025-08-26T20:23:48.6151874Z running benchmark:  34% 17/50 [00:01<00:03,  9.22it/s]
2025-08-26T20:23:48.7219515Z running benchmark:  36% 18/50 [00:01<00:03,  9.05it/s]
2025-08-26T20:23:48.8286950Z running benchmark:  38% 19/50 [00:02<00:03,  9.15it/s]
2025-08-26T20:23:48.9351957Z running benchmark:  40% 20/50 [00:02<00:03,  9.21it/s]
2025-08-26T20:23:49.0417018Z running benchmark:  42% 21/50 [00:02<00:03,  9.26it/s]
2025-08-26T20:23:49.1483072Z running benchmark:  44% 22/50 [00:02<00:03,  9.30it/s]
2025-08-26T20:23:49.2550790Z running benchmark:  46% 23/50 [00:02<00:02,  9.33it/s]
2025-08-26T20:23:49.3616529Z running benchmark:  48% 24/50 [00:02<00:02,  9.34it/s]
2025-08-26T20:23:49.4682541Z running benchmark:  50% 25/50 [00:02<00:02,  9.35it/s]
2025-08-26T20:23:49.5777120Z running benchmark:  52% 26/50 [00:02<00:02,  9.36it/s]
2025-08-26T20:23:49.6956495Z running benchmark:  54% 27/50 [00:02<00:02,  9.29it/s]
2025-08-26T20:23:49.8017523Z running benchmark:  56% 28/50 [00:03<00:02,  9.03it/s]
2025-08-26T20:23:49.9082592Z running benchmark:  58% 29/50 [00:03<00:02,  9.15it/s]
2025-08-26T20:23:50.0146934Z running benchmark:  60% 30/50 [00:03<00:02,  9.22it/s]
2025-08-26T20:23:50.1211399Z running benchmark:  62% 31/50 [00:03<00:02,  9.27it/s]
2025-08-26T20:23:50.2274069Z running benchmark:  64% 32/50 [00:03<00:01,  9.31it/s]
2025-08-26T20:23:50.3341465Z running benchmark:  66% 33/50 [00:03<00:01,  9.34it/s]
2025-08-26T20:23:50.4403747Z running benchmark:  68% 34/50 [00:03<00:01,  9.35it/s]
2025-08-26T20:23:50.5466968Z running benchmark:  70% 35/50 [00:03<00:01,  9.37it/s]
2025-08-26T20:23:50.6533620Z running benchmark:  72% 36/50 [00:03<00:01,  9.38it/s]
2025-08-26T20:23:50.7757362Z running benchmark:  74% 37/50 [00:04<00:01,  9.38it/s]
2025-08-26T20:23:50.8831619Z running benchmark:  76% 38/50 [00:04<00:01,  8.98it/s]
2025-08-26T20:23:50.9906575Z running benchmark:  78% 39/50 [00:04<00:01,  9.08it/s]
2025-08-26T20:23:51.0986467Z running benchmark:  80% 40/50 [00:04<00:01,  9.14it/s]
2025-08-26T20:23:51.2052389Z running benchmark:  82% 41/50 [00:04<00:00,  9.18it/s]
2025-08-26T20:23:51.3131255Z running benchmark:  84% 42/50 [00:04<00:00,  9.24it/s]
2025-08-26T20:23:51.4205719Z running benchmark:  86% 43/50 [00:04<00:00,  9.25it/s]
2025-08-26T20:23:51.5278929Z running benchmark:  88% 44/50 [00:04<00:00,  9.27it/s]
2025-08-26T20:23:51.6349605Z running benchmark:  90% 45/50 [00:04<00:00,  9.28it/s]
2025-08-26T20:23:51.7429057Z running benchmark:  92% 46/50 [00:04<00:00,  9.30it/s]
2025-08-26T20:23:51.8641982Z running benchmark:  94% 47/50 [00:05<00:00,  9.29it/s]
2025-08-26T20:23:51.9713971Z running benchmark:  96% 48/50 [00:05<00:00,  8.95it/s]
2025-08-26T20:23:52.0787031Z running benchmark:  98% 49/50 [00:05<00:00,  9.06it/s]
2025-08-26T20:23:52.0787643Z running benchmark: 100% 50/50 [00:05<00:00,  9.13it/s]
2025-08-26T20:23:52.0788146Z running benchmark: 100% 50/50 [00:05<00:00,  9.20it/s]
2025-08-26T20:23:52.1677715Z 2.043x
2025-08-26T20:23:52.1678096Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:23:53.1950432Z + cat /var/lib/jenkins/workspace/test/test-reports/inductor_inference_timm_resnest_inductor_float32_dynamic_cpu_smoketest.csv
2025-08-26T20:23:53.1970248Z 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
2025-08-26T20:23:53.1970932Z cpu,timm_resnest,32,2.043165,34.804277,15.630165,0.954092,278.283059,291.673293,131,1,0,0,0,0,1
2025-08-26T20:23:53.1974394Z + python benchmarks/dynamo/check_perf_csv.py -f /var/lib/jenkins/workspace/test/test-reports/inductor_inference_timm_resnest_inductor_float32_dynamic_cpu_smoketest.csv -t 1.7321529 -s 0.99
2025-08-26T20:23:53.4454038Z timm_resnest                       2.043165
2025-08-26T20:23:53.4807436Z + IFS=,
2025-08-26T20:23:53.4807669Z + read -r -a model_cfg
2025-08-26T20:23:53.4807910Z + local model_name=functorch_maml_omniglot
2025-08-26T20:23:53.4808164Z + local data_type=float32
2025-08-26T20:23:53.4808384Z + local speedup_target=1.126799
2025-08-26T20:23:53.4808596Z + local backend=inductor
2025-08-26T20:23:53.4808802Z + [[ cpp == \c\p\p ]]
2025-08-26T20:23:53.4809018Z + export TORCHINDUCTOR_CPP_WRAPPER=1
2025-08-26T20:23:53.4809264Z + TORCHINDUCTOR_CPP_WRAPPER=1
2025-08-26T20:23:53.4809802Z + local output_name=/var/lib/jenkins/workspace/test/test-reports/inductor_inference_functorch_maml_omniglot_inductor_float32_dynamic_cpu_smoketest.csv
2025-08-26T20:23:53.4810340Z + [[ dynamic == \d\y\n\a\m\i\c ]]
2025-08-26T20:23:53.4811368Z + 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
2025-08-26T20:23:55.5199277Z 
2025-08-26T20:23:55.6342464Z loading model: 0it [00:00, ?it/s]
2025-08-26T20:23:55.6342875Z loading model: 0it [00:00, ?it/s]
2025-08-26T20:23:55.6343216Z cpu  eval  functorch_maml_omniglot            
2025-08-26T20:23:56.5221254Z skipping cudagraphs due to cpp wrapper enabled
2025-08-26T20:24:03.7761370Z 
2025-08-26T20:24:03.9990010Z running benchmark:   0% 0/50 [00:00<?, ?it/s]
2025-08-26T20:24:04.0014577Z running benchmark:  96% 48/50 [00:00<00:00, 216.00it/s]
2025-08-26T20:24:04.0015023Z running benchmark: 100% 50/50 [00:00<00:00, 221.82it/s]
2025-08-26T20:24:04.0387244Z 1.611x
2025-08-26T20:24:04.0390816Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:24:04.7887079Z + cat /var/lib/jenkins/workspace/test/test-reports/inductor_inference_functorch_maml_omniglot_inductor_float32_dynamic_cpu_smoketest.csv
2025-08-26T20:24:04.7904323Z 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
2025-08-26T20:24:04.7905056Z cpu,functorch_maml_omniglot,1,1.610670,0.326492,7.350693,0.798323,51.245056,64.190874,14,1,0,0,0,0,1
2025-08-26T20:24:04.7905903Z + 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
2025-08-26T20:24:05.0343106Z functorch_maml_omniglot            1.61067
2025-08-26T20:24:05.0697449Z + IFS=,
2025-08-26T20:24:05.0697675Z + read -r -a model_cfg
2025-08-26T20:24:05.0697954Z + local model_name=yolov3
2025-08-26T20:24:05.0698164Z + local data_type=float32
2025-08-26T20:24:05.0698391Z + local speedup_target=1.40687424
2025-08-26T20:24:05.0698641Z + local backend=export-aot-inductor
2025-08-26T20:24:05.0698885Z + [[ default == \c\p\p ]]
2025-08-26T20:24:05.0699103Z + unset TORCHINDUCTOR_CPP_WRAPPER
2025-08-26T20:24:05.0699629Z + local output_name=/var/lib/jenkins/workspace/test/test-reports/inductor_inference_yolov3_export-aot-inductor_float32_static_cpu_smoketest.csv
2025-08-26T20:24:05.0700149Z + [[ static == \d\y\n\a\m\i\c ]]
2025-08-26T20:24:05.0701042Z + 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
2025-08-26T20:24:07.1381179Z 
2025-08-26T20:24:08.5484334Z loading model: 0it [00:00, ?it/s]
2025-08-26T20:24:08.5484700Z loading model: 0it [00:01, ?it/s]
2025-08-26T20:24:08.5501734Z cpu  eval  yolov3                             
2025-08-26T20:24:11.3411434Z skipping cudagraphs due to cpp wrapper enabled
2025-08-26T20:24:31.2769241Z 
2025-08-26T20:24:31.5991389Z running benchmark:   0% 0/50 [00:00<?, ?it/s]
2025-08-26T20:24:31.8670933Z running benchmark:   2% 1/50 [00:00<00:15,  3.10it/s]
2025-08-26T20:24:32.1326734Z running benchmark:   4% 2/50 [00:00<00:13,  3.44it/s]
2025-08-26T20:24:32.3933888Z running benchmark:   6% 3/50 [00:00<00:13,  3.58it/s]
2025-08-26T20:24:32.6714540Z running benchmark:   8% 4/50 [00:01<00:12,  3.68it/s]
2025-08-26T20:24:32.9308785Z running benchmark:  10% 5/50 [00:01<00:12,  3.65it/s]
2025-08-26T20:24:33.1920282Z running benchmark:  12% 6/50 [00:01<00:11,  3.72it/s]
2025-08-26T20:24:33.4520536Z running benchmark:  14% 7/50 [00:01<00:11,  3.75it/s]
2025-08-26T20:24:33.7280669Z running benchmark:  16% 8/50 [00:02<00:11,  3.78it/s]
2025-08-26T20:24:33.9872066Z running benchmark:  18% 9/50 [00:02<00:10,  3.73it/s]
2025-08-26T20:24:34.2518417Z running benchmark:  20% 10/50 [00:02<00:10,  3.77it/s]
2025-08-26T20:24:34.5122124Z running benchmark:  22% 11/50 [00:02<00:10,  3.77it/s]
2025-08-26T20:24:34.7897391Z running benchmark:  24% 12/50 [00:03<00:10,  3.79it/s]
2025-08-26T20:24:35.0510505Z running benchmark:  26% 13/50 [00:03<00:09,  3.73it/s]
2025-08-26T20:24:35.3135037Z running benchmark:  28% 14/50 [00:03<00:09,  3.76it/s]
2025-08-26T20:24:35.5770195Z running benchmark:  30% 15/50 [00:04<00:09,  3.78it/s]
2025-08-26T20:24:35.8528260Z running benchmark:  32% 16/50 [00:04<00:08,  3.78it/s]
2025-08-26T20:24:36.1139166Z running benchmark:  34% 17/50 [00:04<00:08,  3.73it/s]
2025-08-26T20:24:36.3766397Z running benchmark:  36% 18/50 [00:04<00:08,  3.76it/s]
2025-08-26T20:24:36.6391133Z running benchmark:  38% 19/50 [00:05<00:08,  3.77it/s]
2025-08-26T20:24:36.9206048Z running benchmark:  40% 20/50 [00:05<00:07,  3.79it/s]
2025-08-26T20:24:37.1805123Z running benchmark:  42% 21/50 [00:05<00:07,  3.71it/s]
2025-08-26T20:24:37.4433717Z running benchmark:  44% 22/50 [00:05<00:07,  3.75it/s]
2025-08-26T20:24:37.7045782Z running benchmark:  46% 23/50 [00:06<00:07,  3.77it/s]
2025-08-26T20:24:37.9827091Z running benchmark:  48% 24/50 [00:06<00:06,  3.79it/s]
2025-08-26T20:24:38.2455322Z running benchmark:  50% 25/50 [00:06<00:06,  3.73it/s]
2025-08-26T20:24:38.5080039Z running benchmark:  52% 26/50 [00:06<00:06,  3.75it/s]
2025-08-26T20:24:38.7681066Z running benchmark:  54% 27/50 [00:07<00:06,  3.77it/s]
2025-08-26T20:24:39.0505312Z running benchmark:  56% 28/50 [00:07<00:05,  3.79it/s]
2025-08-26T20:24:39.3101188Z running benchmark:  58% 29/50 [00:07<00:05,  3.71it/s]
2025-08-26T20:24:39.5718455Z running benchmark:  60% 30/50 [00:08<00:05,  3.75it/s]
2025-08-26T20:24:39.8352366Z running benchmark:  62% 31/50 [00:08<00:05,  3.77it/s]
2025-08-26T20:24:40.1140482Z running benchmark:  64% 32/50 [00:08<00:04,  3.78it/s]
2025-08-26T20:24:40.3763719Z running benchmark:  66% 33/50 [00:08<00:04,  3.72it/s]
2025-08-26T20:24:40.6400755Z running benchmark:  68% 34/50 [00:09<00:04,  3.75it/s]
2025-08-26T20:24:40.9010499Z running benchmark:  70% 35/50 [00:09<00:03,  3.76it/s]
2025-08-26T20:24:41.1735591Z running benchmark:  72% 36/50 [00:09<00:03,  3.78it/s]
2025-08-26T20:24:41.4366884Z running benchmark:  74% 37/50 [00:09<00:03,  3.75it/s]
2025-08-26T20:24:41.6988507Z running benchmark:  76% 38/50 [00:10<00:03,  3.76it/s]
2025-08-26T20:24:41.9679695Z running benchmark:  78% 39/50 [00:10<00:02,  3.78it/s]
2025-08-26T20:24:42.2363750Z running benchmark:  80% 40/50 [00:10<00:02,  3.76it/s]
2025-08-26T20:24:42.5042387Z running benchmark:  82% 41/50 [00:10<00:02,  3.75it/s]
2025-08-26T20:24:42.7688210Z running benchmark:  84% 42/50 [00:11<00:02,  3.74it/s]
2025-08-26T20:24:43.0322383Z running benchmark:  86% 43/50 [00:11<00:01,  3.75it/s]
2025-08-26T20:24:43.2967920Z running benchmark:  88% 44/50 [00:11<00:01,  3.77it/s]
2025-08-26T20:24:43.5718366Z running benchmark:  90% 45/50 [00:12<00:01,  3.77it/s]
2025-08-26T20:24:43.8352624Z running benchmark:  92% 46/50 [00:12<00:01,  3.73it/s]
2025-08-26T20:24:44.1001645Z running benchmark:  94% 47/50 [00:12<00:00,  3.75it/s]
2025-08-26T20:24:44.3681715Z running benchmark:  96% 48/50 [00:12<00:00,  3.76it/s]
2025-08-26T20:24:44.6518778Z running benchmark:  98% 49/50 [00:13<00:00,  3.75it/s]
2025-08-26T20:24:44.6519321Z running benchmark: 100% 50/50 [00:13<00:00,  3.68it/s]
2025-08-26T20:24:44.6519747Z running benchmark: 100% 50/50 [00:13<00:00,  3.74it/s]
2025-08-26T20:24:44.7767229Z 1.545x
2025-08-26T20:24:44.7767664Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:24:46.4305853Z + cat /var/lib/jenkins/workspace/test/test-reports/inductor_inference_yolov3_export-aot-inductor_float32_static_cpu_smoketest.csv
2025-08-26T20:24:46.4321495Z 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
2025-08-26T20:24:46.4322150Z cpu,yolov3,8,1.545370,102.886281,20.876227,0.908914,479.463424,527.512371,0,0,0,0,0,0,1
2025-08-26T20:24:46.4322837Z + 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
2025-08-26T20:24:46.6808236Z yolov3                             1.54537
2025-08-26T20:24:46.7163803Z + IFS=,
2025-08-26T20:24:46.7164054Z + read -r -a model_cfg
2025-08-26T20:24:46.7164278Z + local model_name=mobilenet_v2
2025-08-26T20:24:46.7164506Z + local data_type=float32
2025-08-26T20:24:46.7164722Z + local speedup_target=2.90375357
2025-08-26T20:24:46.7164967Z + local backend=export-aot-inductor
2025-08-26T20:24:46.7165194Z + [[ default == \c\p\p ]]
2025-08-26T20:24:46.7165405Z + unset TORCHINDUCTOR_CPP_WRAPPER
2025-08-26T20:24:46.7166046Z + local output_name=/var/lib/jenkins/workspace/test/test-reports/inductor_inference_mobilenet_v2_export-aot-inductor_float32_static_cpu_smoketest.csv
2025-08-26T20:24:46.7166569Z + [[ static == \d\y\n\a\m\i\c ]]
2025-08-26T20:24:46.7167809Z + 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
2025-08-26T20:24:48.7689029Z 
2025-08-26T20:24:49.1324441Z loading model: 0it [00:00, ?it/s]
2025-08-26T20:24:49.1324737Z loading model: 0it [00:00, ?it/s]
2025-08-26T20:24:49.1330129Z cpu  eval  mobilenet_v2                       
2025-08-26T20:24:50.7007768Z skipping cudagraphs due to cpp wrapper enabled
2025-08-26T20:25:04.4262039Z 
2025-08-26T20:25:04.5381118Z running benchmark:   0% 0/50 [00:00<?, ?it/s]
2025-08-26T20:25:04.6449915Z running benchmark:   8% 4/50 [00:00<00:01, 35.59it/s]
2025-08-26T20:25:04.7521097Z running benchmark:  18% 9/50 [00:00<00:00, 42.03it/s]
2025-08-26T20:25:04.8586797Z running benchmark:  28% 14/50 [00:00<00:00, 44.12it/s]
2025-08-26T20:25:04.9656110Z running benchmark:  38% 19/50 [00:00<00:00, 45.21it/s]
2025-08-26T20:25:05.0726584Z running benchmark:  48% 24/50 [00:00<00:00, 45.77it/s]
2025-08-26T20:25:05.1800213Z running benchmark:  58% 29/50 [00:00<00:00, 46.09it/s]
2025-08-26T20:25:05.2887130Z running benchmark:  68% 34/50 [00:00<00:00, 46.25it/s]
2025-08-26T20:25:05.3963775Z running benchmark:  78% 39/50 [00:00<00:00, 46.17it/s]
2025-08-26T20:25:05.5031990Z running benchmark:  88% 44/50 [00:00<00:00, 46.25it/s]
2025-08-26T20:25:05.5246435Z running benchmark:  98% 49/50 [00:01<00:00, 46.42it/s]
2025-08-26T20:25:05.5246968Z running benchmark: 100% 50/50 [00:01<00:00, 45.49it/s]
2025-08-26T20:25:05.5962116Z 3.167x
2025-08-26T20:25:05.5962500Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:25:06.6835095Z + cat /var/lib/jenkins/workspace/test/test-reports/inductor_inference_mobilenet_v2_export-aot-inductor_float32_static_cpu_smoketest.csv
2025-08-26T20:25:06.6853061Z 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
2025-08-26T20:25:06.6853761Z cpu,mobilenet_v2,16,3.167222,4.906366,14.923211,0.933971,184.479744,197.521818,0,0,0,0,0,0,1
2025-08-26T20:25:06.6854436Z + 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
2025-08-26T20:25:06.9343383Z mobilenet_v2                       3.167222
2025-08-26T20:25:06.9698695Z + IFS=,
2025-08-26T20:25:06.9698906Z + read -r -a model_cfg
2025-08-26T20:25:06.9699148Z + local model_name=resnext50_32x4d
2025-08-26T20:25:06.9699391Z + local data_type=float32
2025-08-26T20:25:06.9700305Z + local speedup_target=1.49299689
2025-08-26T20:25:06.9700545Z + local backend=export-aot-inductor
2025-08-26T20:25:06.9700814Z + [[ default == \c\p\p ]]
2025-08-26T20:25:06.9701035Z + unset TORCHINDUCTOR_CPP_WRAPPER
2025-08-26T20:25:06.9701599Z + local output_name=/var/lib/jenkins/workspace/test/test-reports/inductor_inference_resnext50_32x4d_export-aot-inductor_float32_dynamic_cpu_smoketest.csv
2025-08-26T20:25:06.9702130Z + [[ dynamic == \d\y\n\a\m\i\c ]]
2025-08-26T20:25:06.9703138Z + 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
2025-08-26T20:25:09.0052743Z 
2025-08-26T20:25:09.2944722Z 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
2025-08-26T20:25:09.3050343Z 
2025-08-26T20:25:09.3050646Z 
2025-08-26T20:25:09.4054602Z   0% 0.00/95.8M [00:00<?, ?B/s]
2025-08-26T20:25:09.4054788Z 
2025-08-26T20:25:09.4961136Z  49% 47.0M/95.8M [00:00<00:00, 492MB/s]
2025-08-26T20:25:09.4961385Z 100% 95.8M/95.8M [00:00<00:00, 527MB/s]
2025-08-26T20:25:09.7616348Z 
2025-08-26T20:25:09.7616887Z loading model: 0it [00:00, ?it/s]
2025-08-26T20:25:09.7625552Z cpu  eval  resnext50_32x4d                    
2025-08-26T20:25:11.3338961Z skipping cudagraphs due to cpp wrapper enabled
2025-08-26T20:25:25.7927318Z 
2025-08-26T20:25:25.9035878Z running benchmark:   0% 0/50 [00:00<?, ?it/s]
2025-08-26T20:25:26.0414748Z running benchmark:   4% 2/50 [00:00<00:02, 18.04it/s]
2025-08-26T20:25:26.1853872Z running benchmark:  10% 5/50 [00:00<00:02, 20.41it/s]
2025-08-26T20:25:26.3233416Z running benchmark:  16% 8/50 [00:00<00:02, 20.62it/s]
2025-08-26T20:25:26.4605742Z running benchmark:  22% 11/50 [00:00<00:01, 21.07it/s]
2025-08-26T20:25:26.5976677Z running benchmark:  28% 14/50 [00:00<00:01, 21.36it/s]
2025-08-26T20:25:26.7346012Z running benchmark:  34% 17/50 [00:00<00:01, 21.54it/s]
2025-08-26T20:25:26.8715457Z running benchmark:  40% 20/50 [00:00<00:01, 21.66it/s]
2025-08-26T20:25:27.0089547Z running benchmark:  46% 23/50 [00:01<00:01, 21.74it/s]
2025-08-26T20:25:27.1470264Z running benchmark:  52% 26/50 [00:01<00:01, 21.77it/s]
2025-08-26T20:25:27.2923603Z running benchmark:  58% 29/50 [00:01<00:00, 21.76it/s]
2025-08-26T20:25:27.4302192Z running benchmark:  64% 32/50 [00:01<00:00, 21.40it/s]
2025-08-26T20:25:27.5677077Z running benchmark:  70% 35/50 [00:01<00:00, 21.51it/s]
2025-08-26T20:25:27.7052405Z running benchmark:  76% 38/50 [00:01<00:00, 21.60it/s]
2025-08-26T20:25:27.8423929Z running benchmark:  82% 41/50 [00:01<00:00, 21.67it/s]
2025-08-26T20:25:27.9800886Z running benchmark:  88% 44/50 [00:02<00:00, 21.73it/s]
2025-08-26T20:25:28.1177221Z running benchmark:  94% 47/50 [00:02<00:00, 21.75it/s]
2025-08-26T20:25:28.1177703Z running benchmark: 100% 50/50 [00:02<00:00, 21.76it/s]
2025-08-26T20:25:28.1178123Z running benchmark: 100% 50/50 [00:02<00:00, 21.50it/s]
2025-08-26T20:25:28.1851932Z 1.921x
2025-08-26T20:25:28.1852652Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:25:29.1264548Z + cat /var/lib/jenkins/workspace/test/test-reports/inductor_inference_resnext50_32x4d_export-aot-inductor_float32_dynamic_cpu_smoketest.csv
2025-08-26T20:25:29.1286091Z 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
2025-08-26T20:25:29.1286798Z cpu,resnext50_32x4d,8,1.920917,15.529313,15.526997,0.865631,169.968435,196.352000,0,0,0,0,0,0,1
2025-08-26T20:25:29.1287489Z + 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
2025-08-26T20:25:29.3772828Z resnext50_32x4d                    1.920917
2025-08-26T20:25:29.4134597Z + IFS=,
2025-08-26T20:25:29.4134845Z + read -r -a model_cfg
2025-08-26T20:25:29.4135107Z + local model_name=hf_Albert
2025-08-26T20:25:29.4135330Z + local data_type=float32
2025-08-26T20:25:29.4135543Z + local speedup_target=1.261471
2025-08-26T20:25:29.4135780Z + local backend=export-aot-inductor
2025-08-26T20:25:29.4136017Z + [[ default == \c\p\p ]]
2025-08-26T20:25:29.4136226Z + unset TORCHINDUCTOR_CPP_WRAPPER
2025-08-26T20:25:29.4136768Z + local output_name=/var/lib/jenkins/workspace/test/test-reports/inductor_inference_hf_Albert_export-aot-inductor_float32_dynamic_cpu_smoketest.csv
2025-08-26T20:25:29.4137293Z + [[ dynamic == \d\y\n\a\m\i\c ]]
2025-08-26T20:25:29.4138281Z + taskset -c 0-93 python benchmarks/dynamo/torchbench.py --inference --performance --float32 -dcpu -n50 --only hf_Albert --dynamic-shapes --dynamic-batch-only --freezing --timeout 9000 --export-aot-inductor --output /var/lib/jenkins/workspace/test/test-reports/inductor_inference_hf_Albert_export-aot-inductor_float32_dynamic_cpu_smoketest.csv
2025-08-26T20:25:31.4655960Z 
2025-08-26T20:25:32.0519186Z loading model: 0it [00:00, ?it/s]
2025-08-26T20:25:32.0519436Z 
2025-08-26T20:25:32.0548092Z config.json:   0% 0.00/684 [00:00<?, ?B/s]
2025-08-26T20:25:32.0548387Z config.json: 100% 684/684 [00:00<00:00, 198kB/s]
2025-08-26T20:25:32.7531542Z 
2025-08-26T20:25:32.7532062Z loading model: 0it [00:01, ?it/s]
2025-08-26T20:25:32.7534599Z cpu  eval  hf_Albert                          
2025-08-26T20:25:34.3734926Z skipping cudagraphs due to cpp wrapper enabled
2025-08-26T20:25:46.8974226Z 
2025-08-26T20:25:47.0531887Z running benchmark:   0% 0/50 [00:00<?, ?it/s]
2025-08-26T20:25:47.1864464Z running benchmark:   4% 2/50 [00:00<00:03, 12.81it/s]
2025-08-26T20:25:47.3166671Z running benchmark:   8% 4/50 [00:00<00:03, 14.02it/s]
2025-08-26T20:25:47.4465407Z running benchmark:  12% 6/50 [00:00<00:03, 14.60it/s]
2025-08-26T20:25:47.5767704Z running benchmark:  16% 8/50 [00:00<00:02, 14.90it/s]
2025-08-26T20:25:47.7062908Z running benchmark:  20% 10/50 [00:00<00:02, 15.06it/s]
2025-08-26T20:25:47.8359091Z running benchmark:  24% 12/50 [00:00<00:02, 15.19it/s]
2025-08-26T20:25:47.9656561Z running benchmark:  28% 14/50 [00:00<00:02, 15.27it/s]
2025-08-26T20:25:48.0965668Z running benchmark:  32% 16/50 [00:01<00:02, 15.31it/s]
2025-08-26T20:25:48.2335342Z running benchmark:  36% 18/50 [00:01<00:02, 15.30it/s]
2025-08-26T20:25:48.3635212Z running benchmark:  40% 20/50 [00:01<00:01, 15.08it/s]
2025-08-26T20:25:48.4937462Z running benchmark:  44% 22/50 [00:01<00:01, 15.17it/s]
2025-08-26T20:25:48.6236970Z running benchmark:  48% 24/50 [00:01<00:01, 15.23it/s]
2025-08-26T20:25:48.7538220Z running benchmark:  52% 26/50 [00:01<00:01, 15.28it/s]
2025-08-26T20:25:48.8838726Z running benchmark:  56% 28/50 [00:01<00:01, 15.31it/s]
2025-08-26T20:25:49.0138270Z running benchmark:  60% 30/50 [00:01<00:01, 15.33it/s]
2025-08-26T20:25:49.1435821Z running benchmark:  64% 32/50 [00:02<00:01, 15.35it/s]
2025-08-26T20:25:49.2817755Z running benchmark:  68% 34/50 [00:02<00:01, 15.37it/s]
2025-08-26T20:25:49.4111261Z running benchmark:  72% 36/50 [00:02<00:00, 15.09it/s]
2025-08-26T20:25:49.5411944Z running benchmark:  76% 38/50 [00:02<00:00, 15.20it/s]
2025-08-26T20:25:49.6704065Z running benchmark:  80% 40/50 [00:02<00:00, 15.25it/s]
2025-08-26T20:25:49.7995781Z running benchmark:  84% 42/50 [00:02<00:00, 15.32it/s]
2025-08-26T20:25:49.9306575Z running benchmark:  88% 44/50 [00:02<00:00, 15.37it/s]
2025-08-26T20:25:50.0607190Z running benchmark:  92% 46/50 [00:03<00:00, 15.34it/s]
2025-08-26T20:25:50.1911204Z running benchmark:  96% 48/50 [00:03<00:00, 15.35it/s]
2025-08-26T20:25:50.1911789Z running benchmark: 100% 50/50 [00:03<00:00, 15.34it/s]
2025-08-26T20:25:50.1912273Z running benchmark: 100% 50/50 [00:03<00:00, 15.18it/s]
2025-08-26T20:25:50.2704903Z 1.311x
2025-08-26T20:25:50.2705446Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:25:51.3655190Z + cat /var/lib/jenkins/workspace/test/test-reports/inductor_inference_hf_Albert_export-aot-inductor_float32_dynamic_cpu_smoketest.csv
2025-08-26T20:25:51.3671551Z 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
2025-08-26T20:25:51.3672200Z cpu,hf_Albert,1,1.311295,27.903489,13.562057,0.458849,126.250189,275.145523,0,0,0,0,0,0,1
2025-08-26T20:25:51.3672864Z + python benchmarks/dynamo/check_perf_csv.py -f /var/lib/jenkins/workspace/test/test-reports/inductor_inference_hf_Albert_export-aot-inductor_float32_dynamic_cpu_smoketest.csv -t 1.261471 -s 0.99
2025-08-26T20:25:51.6155210Z hf_Albert                          1.311295
2025-08-26T20:25:51.6511242Z + IFS=,
2025-08-26T20:25:51.6511465Z + read -r -a model_cfg
2025-08-26T20:25:51.6511689Z + local model_name=resnext50_32x4d
2025-08-26T20:25:51.6511929Z + local data_type=amp
2025-08-26T20:25:51.6512485Z + local speedup_target=1.47023111
2025-08-26T20:25:51.6512702Z + local backend=inductor
2025-08-26T20:25:51.6512926Z + [[ default == \c\p\p ]]
2025-08-26T20:25:51.6513145Z + unset TORCHINDUCTOR_CPP_WRAPPER
2025-08-26T20:25:51.6513669Z + local output_name=/var/lib/jenkins/workspace/test/test-reports/inductor_inference_resnext50_32x4d_inductor_amp_static_cpu_smoketest.csv
2025-08-26T20:25:51.6514166Z + [[ static == \d\y\n\a\m\i\c ]]
2025-08-26T20:25:51.6515005Z + 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
2025-08-26T20:25:53.6958170Z 
2025-08-26T20:25:54.2335929Z loading model: 0it [00:00, ?it/s]
2025-08-26T20:25:54.2336255Z loading model: 0it [00:00, ?it/s]
2025-08-26T20:25:54.2336523Z cpu  eval  resnext50_32x4d                    
2025-08-26T20:26:00.2451696Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:00.2452367Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:00.2452836Z     return mod(*inputs)
2025-08-26T20:26:00.2453263Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:26:00.2453720Z     return self._forward_impl(x)
2025-08-26T20:26:00.2454064Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 268, in _forward_impl
2025-08-26T20:26:00.2454497Z     x = self.conv1(x)
2025-08-26T20:26:00.2454610Z 
2025-08-26T20:26:00.2454747Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:00.2455152Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:00.2455510Z     return mod(*inputs)
2025-08-26T20:26:00.2455873Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:26:00.2456261Z     return self._forward_impl(x)
2025-08-26T20:26:00.2456925Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 270, in _forward_impl
2025-08-26T20:26:00.2457357Z     x = self.relu(x)
2025-08-26T20:26:00.2457461Z 
2025-08-26T20:26:00.2457596Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:00.2457946Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:00.2458274Z     return mod(*inputs)
2025-08-26T20:26:00.2458648Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:26:00.2459021Z     return self._forward_impl(x)
2025-08-26T20:26:00.2459351Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 270, in _forward_impl
2025-08-26T20:26:00.2459676Z     x = self.relu(x)
2025-08-26T20:26:00.2459778Z 
2025-08-26T20:26:00.2459884Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:00.2460273Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:00.2460578Z     return mod(*inputs)
2025-08-26T20:26:00.2460873Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:26:00.2461200Z     return self._forward_impl(x)
2025-08-26T20:26:00.2461528Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 271, in _forward_impl
2025-08-26T20:26:00.2461862Z     x = self.maxpool(x)
2025-08-26T20:26:00.2461958Z 
2025-08-26T20:26:00.2462062Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:00.2462388Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:00.2462690Z     return mod(*inputs)
2025-08-26T20:26:00.2462985Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:26:00.2463429Z     return self._forward_impl(x)
2025-08-26T20:26:00.2463756Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-26T20:26:00.2464097Z     x = self.layer1(x)
2025-08-26T20:26:00.2464401Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:26:00.2464732Z     out = self.relu(out)
2025-08-26T20:26:00.2464836Z 
2025-08-26T20:26:00.2464940Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:00.2465272Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:00.2465586Z     return mod(*inputs)
2025-08-26T20:26:00.2465977Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:26:00.2466315Z     return self._forward_impl(x)
2025-08-26T20:26:00.2466655Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-26T20:26:00.2466999Z     x = self.layer1(x)
2025-08-26T20:26:00.2467311Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:26:00.2467643Z     out = self.relu(out)
2025-08-26T20:26:00.2467750Z 
2025-08-26T20:26:00.2467857Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:00.2468198Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:00.2468510Z     return mod(*inputs)
2025-08-26T20:26:00.2468818Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:26:00.2469152Z     return self._forward_impl(x)
2025-08-26T20:26:00.2469489Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-26T20:26:00.2469968Z     x = self.layer1(x)
2025-08-26T20:26:00.2470330Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:26:00.2470668Z     out = self.relu(out)
2025-08-26T20:26:00.2470779Z 
2025-08-26T20:26:00.2470890Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:00.2471231Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:00.2471550Z     return mod(*inputs)
2025-08-26T20:26:00.2471861Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:26:00.2472198Z     return self._forward_impl(x)
2025-08-26T20:26:00.2472539Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-26T20:26:00.2472877Z     x = self.layer1(x)
2025-08-26T20:26:00.2473190Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:26:00.2473532Z     out = self.relu(out)
2025-08-26T20:26:00.2473636Z 
2025-08-26T20:26:00.2473748Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:00.2474087Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:00.2474401Z     return mod(*inputs)
2025-08-26T20:26:00.2474716Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:26:00.2475055Z     return self._forward_impl(x)
2025-08-26T20:26:00.2475394Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-26T20:26:00.2475732Z     x = self.layer1(x)
2025-08-26T20:26:00.2476043Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-08-26T20:26:00.2476375Z     out = self.relu(out)
2025-08-26T20:26:00.2476479Z 
2025-08-26T20:26:00.2476640Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:00.2476982Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:00.2477291Z     return mod(*inputs)
2025-08-26T20:26:00.2477594Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:26:00.2477927Z     return self._forward_impl(x)
2025-08-26T20:26:00.2478265Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-26T20:26:00.2478598Z     x = self.layer1(x)
2025-08-26T20:26:00.2478902Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-08-26T20:26:00.2479227Z     out = self.relu(out)
2025-08-26T20:26:00.2479328Z 
2025-08-26T20:26:00.2479417Z cudagraph partition due to non gpu ops
2025-08-26T20:26:00.2479649Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:00.2479996Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:00.2480310Z     return mod(*inputs)
2025-08-26T20:26:00.2480612Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:26:00.2480947Z     return self._forward_impl(x)
2025-08-26T20:26:00.2481274Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-26T20:26:00.2481614Z     x = self.layer1(x)
2025-08-26T20:26:00.2481917Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:26:00.2482244Z     out = self.relu(out)
2025-08-26T20:26:00.2482347Z 
2025-08-26T20:26:00.2482448Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:00.2482789Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:00.2483103Z     return mod(*inputs)
2025-08-26T20:26:00.2483436Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:26:00.2483776Z     return self._forward_impl(x)
2025-08-26T20:26:00.2484105Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-26T20:26:00.2484440Z     x = self.layer1(x)
2025-08-26T20:26:00.2484742Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:26:00.2485067Z     out = self.relu(out)
2025-08-26T20:26:00.2485168Z 
2025-08-26T20:26:00.2485268Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:00.2485610Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:00.2485917Z     return mod(*inputs)
2025-08-26T20:26:00.2486218Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:26:00.2486549Z     return self._forward_impl(x)
2025-08-26T20:26:00.2486877Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-26T20:26:00.2487209Z     x = self.layer1(x)
2025-08-26T20:26:00.2487510Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:26:00.2487837Z     out = self.relu(out)
2025-08-26T20:26:00.2487937Z 
2025-08-26T20:26:00.2488036Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:00.2488378Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:00.2488685Z     return mod(*inputs)
2025-08-26T20:26:00.2488986Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:26:00.2489321Z     return self._forward_impl(x)
2025-08-26T20:26:00.2490541Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-26T20:26:00.2490887Z     x = self.layer1(x)
2025-08-26T20:26:00.2491195Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:26:00.2491526Z     out = self.relu(out)
2025-08-26T20:26:00.2491631Z 
2025-08-26T20:26:00.2491712Z cudagraph partition due to non gpu ops
2025-08-26T20:26:00.2491953Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:00.2492295Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:00.2492604Z     return mod(*inputs)
2025-08-26T20:26:00.2492903Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:26:00.2493241Z     return self._forward_impl(x)
2025-08-26T20:26:00.2493581Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-26T20:26:00.2493928Z     x = self.layer1(x)
2025-08-26T20:26:00.2494260Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:26:00.2494583Z     out = self.relu(out)
2025-08-26T20:26:00.2494693Z 
2025-08-26T20:26:00.2494792Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:00.2495135Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:00.2495449Z     return mod(*inputs)
2025-08-26T20:26:00.2495745Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:26:00.2496083Z     return self._forward_impl(x)
2025-08-26T20:26:00.2496418Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-26T20:26:00.2496761Z     x = self.layer1(x)
2025-08-26T20:26:00.2497062Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:26:00.2497424Z     out = self.relu(out)
2025-08-26T20:26:00.2497535Z 
2025-08-26T20:26:00.2497635Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:00.2497981Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:00.2498294Z     return mod(*inputs)
2025-08-26T20:26:00.2498595Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:26:00.2498938Z     return self._forward_impl(x)
2025-08-26T20:26:00.2499279Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-26T20:26:00.2499623Z     x = self.layer1(x)
2025-08-26T20:26:00.2499928Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:26:00.2500250Z     out = self.relu(out)
2025-08-26T20:26:00.2500362Z 
2025-08-26T20:26:00.2500461Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:00.2500811Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:00.2501125Z     return mod(*inputs)
2025-08-26T20:26:00.2501422Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:26:00.2501756Z     return self._forward_impl(x)
2025-08-26T20:26:00.2502092Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-26T20:26:00.2502438Z     x = self.layer1(x)
2025-08-26T20:26:00.2502743Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:26:00.2503062Z     out = self.relu(out)
2025-08-26T20:26:00.2503173Z 
2025-08-26T20:26:00.2503253Z cudagraph partition due to non gpu ops
2025-08-26T20:26:00.2503528Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:00.2503874Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:00.2504179Z     return mod(*inputs)
2025-08-26T20:26:00.2504485Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:26:00.2504813Z     return self._forward_impl(x)
2025-08-26T20:26:00.2505149Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-26T20:26:00.2505491Z     x = self.layer2(x)
2025-08-26T20:26:00.2505789Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:26:00.2506119Z     out = self.relu(out)
2025-08-26T20:26:00.2506228Z 
2025-08-26T20:26:00.2506326Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:00.2506671Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:00.2506975Z     return mod(*inputs)
2025-08-26T20:26:00.2507281Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:26:00.2507618Z     return self._forward_impl(x)
2025-08-26T20:26:00.2507953Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-26T20:26:00.2508293Z     x = self.layer2(x)
2025-08-26T20:26:00.2508591Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:26:00.2508918Z     out = self.relu(out)
2025-08-26T20:26:00.2509027Z 
2025-08-26T20:26:00.2509126Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:00.2509470Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:00.2509773Z     return mod(*inputs)
2025-08-26T20:26:00.2510078Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:26:00.2510440Z     return self._forward_impl(x)
2025-08-26T20:26:00.2510779Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-26T20:26:00.2511117Z     x = self.layer2(x)
2025-08-26T20:26:00.2511410Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:26:00.2511736Z     out = self.relu(out)
2025-08-26T20:26:00.2511844Z 
2025-08-26T20:26:00.2511944Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:00.2512285Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:00.2512588Z     return mod(*inputs)
2025-08-26T20:26:00.2512893Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:26:00.2513224Z     return self._forward_impl(x)
2025-08-26T20:26:00.2513560Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-26T20:26:00.2513901Z     x = self.layer2(x)
2025-08-26T20:26:00.2514193Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:26:00.2514518Z     out = self.relu(out)
2025-08-26T20:26:00.2514626Z 
2025-08-26T20:26:00.2514726Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:00.2515066Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:00.2515369Z     return mod(*inputs)
2025-08-26T20:26:00.2515674Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:26:00.2516003Z     return self._forward_impl(x)
2025-08-26T20:26:00.2516339Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-26T20:26:00.2516730Z     x = self.layer2(x)
2025-08-26T20:26:00.2517031Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-08-26T20:26:00.2517360Z     out = self.relu(out)
2025-08-26T20:26:00.2517469Z 
2025-08-26T20:26:00.2517568Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:00.2517916Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:00.2518219Z     return mod(*inputs)
2025-08-26T20:26:00.2518523Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:26:00.2518858Z     return self._forward_impl(x)
2025-08-26T20:26:00.2519202Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-26T20:26:00.2519546Z     x = self.layer2(x)
2025-08-26T20:26:00.2519845Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-08-26T20:26:00.2520181Z     out = self.relu(out)
2025-08-26T20:26:00.2520291Z 
2025-08-26T20:26:00.2520374Z cudagraph partition due to non gpu ops
2025-08-26T20:26:00.2520615Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:00.2520955Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:00.2521269Z     return mod(*inputs)
2025-08-26T20:26:00.2521579Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:26:00.2521919Z     return self._forward_impl(x)
2025-08-26T20:26:00.2522258Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-26T20:26:00.2522596Z     x = self.layer2(x)
2025-08-26T20:26:00.2522901Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:26:00.2523234Z     out = self.relu(out)
2025-08-26T20:26:00.2523334Z 
2025-08-26T20:26:00.2523468Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:00.2523801Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:00.2524110Z     return mod(*inputs)
2025-08-26T20:26:00.2524415Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:26:00.2524751Z     return self._forward_impl(x)
2025-08-26T20:26:00.2525087Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-26T20:26:00.2525418Z     x = self.layer2(x)
2025-08-26T20:26:00.2525720Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:26:00.2526051Z     out = self.relu(out)
2025-08-26T20:26:00.2526151Z 
2025-08-26T20:26:00.2526260Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:00.2526600Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:00.2526910Z     return mod(*inputs)
2025-08-26T20:26:00.2527215Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:26:00.2527553Z     return self._forward_impl(x)
2025-08-26T20:26:00.2527886Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-26T20:26:00.2528216Z     x = self.layer2(x)
2025-08-26T20:26:00.2528514Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:26:00.2528839Z     out = self.relu(out)
2025-08-26T20:26:00.2528939Z 
2025-08-26T20:26:00.2529045Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:00.2529378Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:00.2529721Z     return mod(*inputs)
2025-08-26T20:26:00.2530025Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:26:00.2530358Z     return self._forward_impl(x)
2025-08-26T20:26:00.2530691Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-26T20:26:00.2531020Z     x = self.layer2(x)
2025-08-26T20:26:00.2531323Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:26:00.2531652Z     out = self.relu(out)
2025-08-26T20:26:00.2531754Z 
2025-08-26T20:26:00.2531842Z cudagraph partition due to non gpu ops
2025-08-26T20:26:00.2532068Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:00.2532414Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:00.2532723Z     return mod(*inputs)
2025-08-26T20:26:00.2533034Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:26:00.2533364Z     return self._forward_impl(x)
2025-08-26T20:26:00.2533693Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-26T20:26:00.2534030Z     x = self.layer2(x)
2025-08-26T20:26:00.2534337Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:26:00.2534663Z     out = self.relu(out)
2025-08-26T20:26:00.2534766Z 
2025-08-26T20:26:00.2534865Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:00.2535213Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:00.2535526Z     return mod(*inputs)
2025-08-26T20:26:00.2535837Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:26:00.2536179Z     return self._forward_impl(x)
2025-08-26T20:26:00.2536537Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-26T20:26:00.2536879Z     x = self.layer2(x)
2025-08-26T20:26:00.2537183Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:26:00.2537509Z     out = self.relu(out)
2025-08-26T20:26:00.2537610Z 
2025-08-26T20:26:00.2537709Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:00.2538055Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:00.2538369Z     return mod(*inputs)
2025-08-26T20:26:00.2538675Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:26:00.2539010Z     return self._forward_impl(x)
2025-08-26T20:26:00.2539336Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-26T20:26:00.2539681Z     x = self.layer2(x)
2025-08-26T20:26:00.2539990Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:26:00.2540320Z     out = self.relu(out)
2025-08-26T20:26:00.2540421Z 
2025-08-26T20:26:00.2540522Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:00.2540869Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:00.2541178Z     return mod(*inputs)
2025-08-26T20:26:00.2541481Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:26:00.2541817Z     return self._forward_impl(x)
2025-08-26T20:26:00.2542145Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-26T20:26:00.2542483Z     x = self.layer2(x)
2025-08-26T20:26:00.2542824Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:26:00.2543158Z     out = self.relu(out)
2025-08-26T20:26:00.2543265Z 
2025-08-26T20:26:00.2543348Z cudagraph partition due to non gpu ops
2025-08-26T20:26:00.2543589Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:00.2543938Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:00.2544253Z     return mod(*inputs)
2025-08-26T20:26:00.2544560Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:26:00.2544889Z     return self._forward_impl(x)
2025-08-26T20:26:00.2545229Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-26T20:26:00.2545578Z     x = self.layer2(x)
2025-08-26T20:26:00.2545884Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:26:00.2546212Z     out = self.relu(out)
2025-08-26T20:26:00.2546331Z 
2025-08-26T20:26:00.2546432Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:00.2546787Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:00.2547108Z     return mod(*inputs)
2025-08-26T20:26:00.2547419Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:26:00.2547751Z     return self._forward_impl(x)
2025-08-26T20:26:00.2548092Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-26T20:26:00.2548442Z     x = self.layer2(x)
2025-08-26T20:26:00.2548750Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:26:00.2549081Z     out = self.relu(out)
2025-08-26T20:26:00.2549202Z 
2025-08-26T20:26:00.2549305Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:00.2549687Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:00.2550002Z     return mod(*inputs)
2025-08-26T20:26:00.2550311Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:26:00.2550638Z     return self._forward_impl(x)
2025-08-26T20:26:00.2550972Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-26T20:26:00.2551313Z     x = self.layer2(x)
2025-08-26T20:26:00.2551626Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:26:00.2551946Z     out = self.relu(out)
2025-08-26T20:26:00.2552055Z 
2025-08-26T20:26:00.2552155Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:00.2552498Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:00.2552815Z     return mod(*inputs)
2025-08-26T20:26:00.2553123Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:26:00.2553447Z     return self._forward_impl(x)
2025-08-26T20:26:00.2553781Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-26T20:26:00.2554114Z     x = self.layer2(x)
2025-08-26T20:26:00.2554421Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:26:00.2554741Z     out = self.relu(out)
2025-08-26T20:26:00.2554851Z 
2025-08-26T20:26:00.2554930Z cudagraph partition due to non gpu ops
2025-08-26T20:26:00.2555165Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:00.2555511Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:00.2555884Z     return mod(*inputs)
2025-08-26T20:26:00.2556185Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:26:00.2556518Z     return self._forward_impl(x)
2025-08-26T20:26:00.2556854Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-26T20:26:00.2557197Z     x = self.layer3(x)
2025-08-26T20:26:00.2557481Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:26:00.2557799Z     out = self.relu(out)
2025-08-26T20:26:00.2557901Z 
2025-08-26T20:26:00.2557999Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:00.2558336Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:00.2558641Z     return mod(*inputs)
2025-08-26T20:26:00.2558929Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:26:00.2559253Z     return self._forward_impl(x)
2025-08-26T20:26:00.2559576Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-26T20:26:00.2559906Z     x = self.layer3(x)
2025-08-26T20:26:00.2560190Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:26:00.2560508Z     out = self.relu(out)
2025-08-26T20:26:00.2560615Z 
2025-08-26T20:26:00.2560713Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:00.2561047Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:00.2561348Z     return mod(*inputs)
2025-08-26T20:26:00.2561638Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:26:00.2561967Z     return self._forward_impl(x)
2025-08-26T20:26:00.2562296Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-26T20:26:00.2562672Z     x = self.layer3(x)
2025-08-26T20:26:00.2562959Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:26:00.2563276Z     out = self.relu(out)
2025-08-26T20:26:00.2563388Z 
2025-08-26T20:26:00.2563486Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:00.2563817Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:00.2564123Z     return mod(*inputs)
2025-08-26T20:26:00.2564412Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:26:00.2564737Z     return self._forward_impl(x)
2025-08-26T20:26:00.2565063Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-26T20:26:00.2565394Z     x = self.layer3(x)
2025-08-26T20:26:00.2565683Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:26:00.2566077Z     out = self.relu(out)
2025-08-26T20:26:00.2566188Z 
2025-08-26T20:26:00.2566286Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:00.2566627Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:00.2566935Z     return mod(*inputs)
2025-08-26T20:26:00.2567231Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:26:00.2567648Z     return self._forward_impl(x)
2025-08-26T20:26:00.2567977Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-26T20:26:00.2568308Z     x = self.layer3(x)
2025-08-26T20:26:00.2568593Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-08-26T20:26:00.2568974Z     out = self.relu(out)
2025-08-26T20:26:00.2569078Z 
2025-08-26T20:26:00.2569178Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:00.2569516Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:00.2569820Z     return mod(*inputs)
2025-08-26T20:26:00.2570111Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:26:00.2570439Z     return self._forward_impl(x)
2025-08-26T20:26:00.2570767Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-26T20:26:00.2571101Z     x = self.layer3(x)
2025-08-26T20:26:00.2571389Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-08-26T20:26:00.2571711Z     out = self.relu(out)
2025-08-26T20:26:00.2571822Z 
2025-08-26T20:26:00.2571905Z cudagraph partition due to non gpu ops
2025-08-26T20:26:00.2572138Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:00.2572467Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:00.2572770Z     return mod(*inputs)
2025-08-26T20:26:00.2573067Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:26:00.2573392Z     return self._forward_impl(x)
2025-08-26T20:26:00.2573720Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-26T20:26:00.2574050Z     x = self.layer3(x)
2025-08-26T20:26:00.2574349Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:26:00.2574669Z     out = self.relu(out)
2025-08-26T20:26:00.2574767Z 
2025-08-26T20:26:00.2574870Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:00.2575201Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:00.2575561Z     return mod(*inputs)
2025-08-26T20:26:00.2575862Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:26:00.2576188Z     return self._forward_impl(x)
2025-08-26T20:26:00.2576514Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-26T20:26:00.2576837Z     x = self.layer3(x)
2025-08-26T20:26:00.2577136Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:26:00.2577454Z     out = self.relu(out)
2025-08-26T20:26:00.2577554Z 
2025-08-26T20:26:00.2577658Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:00.2577994Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:00.2578294Z     return mod(*inputs)
2025-08-26T20:26:00.2578599Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:26:00.2578929Z     return self._forward_impl(x)
2025-08-26T20:26:00.2579257Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-26T20:26:00.2579576Z     x = self.layer3(x)
2025-08-26T20:26:00.2579872Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:26:00.2580190Z     out = self.relu(out)
2025-08-26T20:26:00.2580288Z 
2025-08-26T20:26:00.2580393Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:00.2580724Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:00.2581020Z     return mod(*inputs)
2025-08-26T20:26:00.2581319Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:26:00.2581685Z     return self._forward_impl(x)
2025-08-26T20:26:00.2582015Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-26T20:26:00.2582340Z     x = self.layer3(x)
2025-08-26T20:26:00.2582637Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:26:00.2582955Z     out = self.relu(out)
2025-08-26T20:26:00.2583055Z 
2025-08-26T20:26:00.2583142Z cudagraph partition due to non gpu ops
2025-08-26T20:26:00.2583365Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:00.2583701Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:00.2584006Z     return mod(*inputs)
2025-08-26T20:26:00.2584304Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:26:00.2584626Z     return self._forward_impl(x)
2025-08-26T20:26:00.2584950Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-26T20:26:00.2585280Z     x = self.layer3(x)
2025-08-26T20:26:00.2585576Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:26:00.2585894Z     out = self.relu(out)
2025-08-26T20:26:00.2585992Z 
2025-08-26T20:26:00.2586088Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:00.2586423Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:00.2586725Z     return mod(*inputs)
2025-08-26T20:26:00.2587020Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:26:00.2587342Z     return self._forward_impl(x)
2025-08-26T20:26:00.2587658Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-26T20:26:00.2587991Z     x = self.layer3(x)
2025-08-26T20:26:00.2588314Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:26:00.2588634Z     out = self.relu(out)
2025-08-26T20:26:00.2588733Z 
2025-08-26T20:26:00.2588831Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:00.2589169Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:00.2589470Z     return mod(*inputs)
2025-08-26T20:26:00.2589775Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:26:00.2590100Z     return self._forward_impl(x)
2025-08-26T20:26:00.2590420Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-26T20:26:00.2590754Z     x = self.layer3(x)
2025-08-26T20:26:00.2591048Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:26:00.2591377Z     out = self.relu(out)
2025-08-26T20:26:00.2591475Z 
2025-08-26T20:26:00.2591574Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:00.2591910Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:00.2592215Z     return mod(*inputs)
2025-08-26T20:26:00.2592514Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:26:00.2592839Z     return self._forward_impl(x)
2025-08-26T20:26:00.2593162Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-26T20:26:00.2593497Z     x = self.layer3(x)
2025-08-26T20:26:00.2593794Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:26:00.2594109Z     out = self.relu(out)
2025-08-26T20:26:00.2594237Z 
2025-08-26T20:26:00.2594316Z cudagraph partition due to non gpu ops
2025-08-26T20:26:00.2594547Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:00.2594881Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:00.2595179Z     return mod(*inputs)
2025-08-26T20:26:00.2595479Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:26:00.2595800Z     return self._forward_impl(x)
2025-08-26T20:26:00.2596128Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-26T20:26:00.2596458Z     x = self.layer3(x)
2025-08-26T20:26:00.2596754Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:26:00.2597066Z     out = self.relu(out)
2025-08-26T20:26:00.2597174Z 
2025-08-26T20:26:00.2597270Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:00.2597614Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:00.2597914Z     return mod(*inputs)
2025-08-26T20:26:00.2598210Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:26:00.2598525Z     return self._forward_impl(x)
2025-08-26T20:26:00.2598852Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-26T20:26:00.2599181Z     x = self.layer3(x)
2025-08-26T20:26:00.2599477Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:26:00.2599785Z     out = self.relu(out)
2025-08-26T20:26:00.2599896Z 
2025-08-26T20:26:00.2599994Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:00.2600329Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:00.2600634Z     return mod(*inputs)
2025-08-26T20:26:00.2600961Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:26:00.2601280Z     return self._forward_impl(x)
2025-08-26T20:26:00.2601607Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-26T20:26:00.2601944Z     x = self.layer3(x)
2025-08-26T20:26:00.2602239Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:26:00.2602552Z     out = self.relu(out)
2025-08-26T20:26:00.2602660Z 
2025-08-26T20:26:00.2602757Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:00.2603095Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:00.2603399Z     return mod(*inputs)
2025-08-26T20:26:00.2603695Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:26:00.2604019Z     return self._forward_impl(x)
2025-08-26T20:26:00.2604349Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-26T20:26:00.2604681Z     x = self.layer3(x)
2025-08-26T20:26:00.2604975Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:26:00.2605288Z     out = self.relu(out)
2025-08-26T20:26:00.2605401Z 
2025-08-26T20:26:00.2605478Z cudagraph partition due to non gpu ops
2025-08-26T20:26:00.2605709Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:00.2606051Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:00.2606361Z     return mod(*inputs)
2025-08-26T20:26:00.2606654Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:26:00.2607014Z     return self._forward_impl(x)
2025-08-26T20:26:00.2607350Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-26T20:26:00.2607698Z     x = self.layer3(x)
2025-08-26T20:26:00.2607987Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:26:00.2608314Z     out = self.relu(out)
2025-08-26T20:26:00.2608423Z 
2025-08-26T20:26:00.2608518Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:00.2608855Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:00.2609159Z     return mod(*inputs)
2025-08-26T20:26:00.2609452Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:26:00.2609780Z     return self._forward_impl(x)
2025-08-26T20:26:00.2610110Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-26T20:26:00.2610447Z     x = self.layer3(x)
2025-08-26T20:26:00.2610738Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:26:00.2611058Z     out = self.relu(out)
2025-08-26T20:26:00.2611163Z 
2025-08-26T20:26:00.2611259Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:00.2611602Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:00.2611915Z     return mod(*inputs)
2025-08-26T20:26:00.2612205Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:26:00.2612530Z     return self._forward_impl(x)
2025-08-26T20:26:00.2612858Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-26T20:26:00.2613189Z     x = self.layer3(x)
2025-08-26T20:26:00.2613479Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:26:00.2613846Z     out = self.relu(out)
2025-08-26T20:26:00.2613956Z 
2025-08-26T20:26:00.2614051Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:00.2614385Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:00.2614683Z     return mod(*inputs)
2025-08-26T20:26:00.2614971Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:26:00.2615294Z     return self._forward_impl(x)
2025-08-26T20:26:00.2615617Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-26T20:26:00.2615946Z     x = self.layer3(x)
2025-08-26T20:26:00.2616232Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:26:00.2616549Z     out = self.relu(out)
2025-08-26T20:26:00.2616657Z 
2025-08-26T20:26:00.2616738Z cudagraph partition due to non gpu ops
2025-08-26T20:26:00.2616970Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:00.2617302Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:00.2617596Z     return mod(*inputs)
2025-08-26T20:26:00.2617894Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:26:00.2618220Z     return self._forward_impl(x)
2025-08-26T20:26:00.2618546Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-26T20:26:00.2618870Z     x = self.layer3(x)
2025-08-26T20:26:00.2619167Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:26:00.2619492Z     out = self.relu(out)
2025-08-26T20:26:00.2619622Z 
2025-08-26T20:26:00.2619730Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:00.2620075Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:00.2620379Z     return mod(*inputs)
2025-08-26T20:26:00.2620683Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:26:00.2621013Z     return self._forward_impl(x)
2025-08-26T20:26:00.2621345Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-26T20:26:00.2621675Z     x = self.layer3(x)
2025-08-26T20:26:00.2621976Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:26:00.2622304Z     out = self.relu(out)
2025-08-26T20:26:00.2622407Z 
2025-08-26T20:26:00.2622514Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:00.2622856Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:00.2623163Z     return mod(*inputs)
2025-08-26T20:26:00.2623468Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:26:00.2623804Z     return self._forward_impl(x)
2025-08-26T20:26:00.2624136Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-26T20:26:00.2624467Z     x = self.layer3(x)
2025-08-26T20:26:00.2624768Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:26:00.2625091Z     out = self.relu(out)
2025-08-26T20:26:00.2625192Z 
2025-08-26T20:26:00.2625299Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:00.2625643Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:00.2625948Z     return mod(*inputs)
2025-08-26T20:26:00.2626255Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:26:00.2626614Z     return self._forward_impl(x)
2025-08-26T20:26:00.2626945Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-26T20:26:00.2627268Z     x = self.layer3(x)
2025-08-26T20:26:00.2627560Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:26:00.2627879Z     out = self.relu(out)
2025-08-26T20:26:00.2627978Z 
2025-08-26T20:26:00.2628063Z cudagraph partition due to non gpu ops
2025-08-26T20:26:00.2628296Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:00.2628625Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:00.2628929Z     return mod(*inputs)
2025-08-26T20:26:00.2629234Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:26:00.2629563Z     return self._forward_impl(x)
2025-08-26T20:26:00.2629886Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-26T20:26:00.2630218Z     x = self.layer4(x)
2025-08-26T20:26:00.2630511Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:26:00.2630829Z     out = self.relu(out)
2025-08-26T20:26:00.2630929Z 
2025-08-26T20:26:00.2631034Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:00.2631359Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:00.2631662Z     return mod(*inputs)
2025-08-26T20:26:00.2631957Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:26:00.2632278Z     return self._forward_impl(x)
2025-08-26T20:26:00.2632696Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-26T20:26:00.2633028Z     x = self.layer4(x)
2025-08-26T20:26:00.2633326Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:26:00.2633646Z     out = self.relu(out)
2025-08-26T20:26:00.2633746Z 
2025-08-26T20:26:00.2633854Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:00.2634187Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:00.2634494Z     return mod(*inputs)
2025-08-26T20:26:00.2634796Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:26:00.2635124Z     return self._forward_impl(x)
2025-08-26T20:26:00.2635446Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-26T20:26:00.2635785Z     x = self.layer4(x)
2025-08-26T20:26:00.2636081Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:26:00.2636401Z     out = self.relu(out)
2025-08-26T20:26:00.2636501Z 
2025-08-26T20:26:00.2636605Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:00.2636941Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:00.2637246Z     return mod(*inputs)
2025-08-26T20:26:00.2637550Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:26:00.2637881Z     return self._forward_impl(x)
2025-08-26T20:26:00.2638207Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-26T20:26:00.2638545Z     x = self.layer4(x)
2025-08-26T20:26:00.2638842Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:26:00.2639172Z     out = self.relu(out)
2025-08-26T20:26:00.2639270Z 
2025-08-26T20:26:00.2639406Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:00.2639733Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:00.2640038Z     return mod(*inputs)
2025-08-26T20:26:00.2640332Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:26:00.2640653Z     return self._forward_impl(x)
2025-08-26T20:26:00.2640971Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-26T20:26:00.2641300Z     x = self.layer4(x)
2025-08-26T20:26:00.2641593Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-08-26T20:26:00.2641913Z     out = self.relu(out)
2025-08-26T20:26:00.2642012Z 
2025-08-26T20:26:00.2642119Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:00.2642450Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:00.2642754Z     return mod(*inputs)
2025-08-26T20:26:00.2643050Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:26:00.2643374Z     return self._forward_impl(x)
2025-08-26T20:26:00.2643694Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-26T20:26:00.2644022Z     x = self.layer4(x)
2025-08-26T20:26:00.2644312Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-08-26T20:26:00.2644630Z     out = self.relu(out)
2025-08-26T20:26:00.2644728Z 
2025-08-26T20:26:00.2644812Z cudagraph partition due to non gpu ops
2025-08-26T20:26:00.2645033Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:00.2645406Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:00.2645707Z     return mod(*inputs)
2025-08-26T20:26:00.2646009Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:26:00.2646326Z     return self._forward_impl(x)
2025-08-26T20:26:00.2646655Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-26T20:26:00.2646987Z     x = self.layer4(x)
2025-08-26T20:26:00.2647284Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:26:00.2647596Z     out = self.relu(out)
2025-08-26T20:26:00.2647705Z 
2025-08-26T20:26:00.2647803Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:00.2648137Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:00.2648445Z     return mod(*inputs)
2025-08-26T20:26:00.2648749Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:26:00.2649066Z     return self._forward_impl(x)
2025-08-26T20:26:00.2649396Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-26T20:26:00.2649726Z     x = self.layer4(x)
2025-08-26T20:26:00.2650022Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:26:00.2650337Z     out = self.relu(out)
2025-08-26T20:26:00.2650441Z 
2025-08-26T20:26:00.2650539Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:00.2650872Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:00.2651172Z     return mod(*inputs)
2025-08-26T20:26:00.2651475Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:26:00.2651795Z     return self._forward_impl(x)
2025-08-26T20:26:00.2652154Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-26T20:26:00.2652495Z     x = self.layer4(x)
2025-08-26T20:26:00.2652801Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:26:00.2653121Z     out = self.relu(out)
2025-08-26T20:26:00.2653236Z 
2025-08-26T20:26:00.2653337Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:00.2653681Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:00.2653994Z     return mod(*inputs)
2025-08-26T20:26:00.2654300Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:26:00.2654624Z     return self._forward_impl(x)
2025-08-26T20:26:00.2654960Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-26T20:26:00.2655303Z     x = self.layer4(x)
2025-08-26T20:26:00.2655606Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:26:00.2655922Z     out = self.relu(out)
2025-08-26T20:26:00.2656033Z 
2025-08-26T20:26:00.2656114Z cudagraph partition due to non gpu ops
2025-08-26T20:26:00.2656349Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:00.2656690Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:00.2656997Z     return mod(*inputs)
2025-08-26T20:26:00.2657299Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:26:00.2657639Z     return self._forward_impl(x)
2025-08-26T20:26:00.2657972Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-26T20:26:00.2658353Z     x = self.layer4(x)
2025-08-26T20:26:00.2658643Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:26:00.2658963Z     out = self.relu(out)
2025-08-26T20:26:00.2659070Z 
2025-08-26T20:26:00.2659170Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:00.2659504Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:00.2659810Z     return mod(*inputs)
2025-08-26T20:26:00.2660103Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:26:00.2660431Z     return self._forward_impl(x)
2025-08-26T20:26:00.2660759Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-26T20:26:00.2661091Z     x = self.layer4(x)
2025-08-26T20:26:00.2661381Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:26:00.2661709Z     out = self.relu(out)
2025-08-26T20:26:00.2661819Z 
2025-08-26T20:26:00.2661917Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:00.2662251Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:00.2662551Z     return mod(*inputs)
2025-08-26T20:26:00.2662844Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:26:00.2663172Z     return self._forward_impl(x)
2025-08-26T20:26:00.2663506Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-26T20:26:00.2663835Z     x = self.layer4(x)
2025-08-26T20:26:00.2664124Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:26:00.2664444Z     out = self.relu(out)
2025-08-26T20:26:00.2664555Z 
2025-08-26T20:26:00.2664654Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:00.2665020Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:00.2665328Z     return mod(*inputs)
2025-08-26T20:26:00.2665621Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:26:00.2666023Z     return self._forward_impl(x)
2025-08-26T20:26:00.2666353Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-26T20:26:00.2666682Z     x = self.layer4(x)
2025-08-26T20:26:00.2666968Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:26:00.2667288Z     out = self.relu(out)
2025-08-26T20:26:00.2667395Z 
2025-08-26T20:26:00.2667474Z cudagraph partition due to non gpu ops
2025-08-26T20:26:00.2667685Z cudagraph partition due to non gpu ops
2025-08-26T20:26:00.2667916Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:00.2668245Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:00.2668553Z     return mod(*inputs)
2025-08-26T20:26:00.2668854Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:26:00.2669176Z     return self._forward_impl(x)
2025-08-26T20:26:00.2669495Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 278, in _forward_impl
2025-08-26T20:26:00.2669828Z     x = self.avgpool(x)
2025-08-26T20:26:00.2669933Z 
2025-08-26T20:26:00.2670010Z cudagraph partition due to non gpu ops
2025-08-26T20:26:00.2670212Z cudagraph partition due to non gpu ops
2025-08-26T20:26:07.2631156Z 
2025-08-26T20:26:07.3930935Z running benchmark:   0% 0/50 [00:00<?, ?it/s]
2025-08-26T20:26:07.5223440Z running benchmark:   8% 4/50 [00:00<00:01, 30.82it/s]
2025-08-26T20:26:07.6499162Z running benchmark:  16% 8/50 [00:00<00:01, 30.89it/s]
2025-08-26T20:26:07.7786917Z running benchmark:  24% 12/50 [00:00<00:01, 31.10it/s]
2025-08-26T20:26:07.9075474Z running benchmark:  32% 16/50 [00:00<00:01, 31.09it/s]
2025-08-26T20:26:08.0447336Z running benchmark:  40% 20/50 [00:00<00:00, 31.07it/s]
2025-08-26T20:26:08.1730909Z running benchmark:  48% 24/50 [00:00<00:00, 30.39it/s]
2025-08-26T20:26:08.3020103Z running benchmark:  56% 28/50 [00:00<00:00, 30.64it/s]
2025-08-26T20:26:08.4311089Z running benchmark:  64% 32/50 [00:01<00:00, 30.76it/s]
2025-08-26T20:26:08.5590503Z running benchmark:  72% 36/50 [00:01<00:00, 30.83it/s]
2025-08-26T20:26:08.6874310Z running benchmark:  80% 40/50 [00:01<00:00, 30.96it/s]
2025-08-26T20:26:08.8155970Z running benchmark:  88% 44/50 [00:01<00:00, 31.02it/s]
2025-08-26T20:26:08.8798736Z running benchmark:  96% 48/50 [00:01<00:00, 31.08it/s]
2025-08-26T20:26:08.8799175Z running benchmark: 100% 50/50 [00:01<00:00, 30.93it/s]
2025-08-26T20:26:08.9405533Z 4.032x
2025-08-26T20:26:08.9405909Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:26:09.8316585Z + cat /var/lib/jenkins/workspace/test/test-reports/inductor_inference_resnext50_32x4d_inductor_amp_static_cpu_smoketest.csv
2025-08-26T20:26:09.8337097Z 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
2025-08-26T20:26:09.8337826Z cpu,resnext50_32x4d,8,4.032019,6.213651,11.885476,0.916871,129.688781,141.447168,177,1,0,0,0,0,1
2025-08-26T20:26:09.8338544Z + 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
2025-08-26T20:26:10.0822166Z resnext50_32x4d                    4.032019
2025-08-26T20:26:10.1179560Z + IFS=,
2025-08-26T20:26:10.1179819Z + read -r -a model_cfg
2025-08-26T20:26:10.1180038Z + local model_name=vgg16
2025-08-26T20:26:10.1180526Z + local data_type=amp
2025-08-26T20:26:10.1180743Z + local speedup_target=1.2692454
2025-08-26T20:26:10.1180965Z + local backend=inductor
2025-08-26T20:26:10.1181174Z + [[ default == \c\p\p ]]
2025-08-26T20:26:10.1181391Z + unset TORCHINDUCTOR_CPP_WRAPPER
2025-08-26T20:26:10.1181880Z + local output_name=/var/lib/jenkins/workspace/test/test-reports/inductor_inference_vgg16_inductor_amp_static_cpu_smoketest.csv
2025-08-26T20:26:10.1182359Z + [[ static == \d\y\n\a\m\i\c ]]
2025-08-26T20:26:10.1183161Z + 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
2025-08-26T20:26:12.1547170Z 
2025-08-26T20:26:12.8130544Z 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
2025-08-26T20:26:12.8244962Z 
2025-08-26T20:26:12.8245146Z 
2025-08-26T20:26:12.9250957Z   0% 0.00/528M [00:00<?, ?B/s]
2025-08-26T20:26:12.9251137Z 
2025-08-26T20:26:13.0275306Z  10% 50.5M/528M [00:00<00:00, 527MB/s]
2025-08-26T20:26:13.0275574Z 
2025-08-26T20:26:13.1277627Z  19% 101M/528M [00:00<00:00, 519MB/s] 
2025-08-26T20:26:13.1277809Z 
2025-08-26T20:26:13.2276876Z  29% 154M/528M [00:00<00:00, 537MB/s]
2025-08-26T20:26:13.2277055Z 
2025-08-26T20:26:13.3280473Z  40% 210M/528M [00:00<00:00, 556MB/s]
2025-08-26T20:26:13.3280753Z 
2025-08-26T20:26:13.4281390Z  51% 267M/528M [00:00<00:00, 571MB/s]
2025-08-26T20:26:13.4281708Z 
2025-08-26T20:26:13.5283412Z  61% 324M/528M [00:00<00:00, 580MB/s]
2025-08-26T20:26:13.5283743Z 
2025-08-26T20:26:13.6283924Z  72% 381M/528M [00:00<00:00, 585MB/s]
2025-08-26T20:26:13.6284112Z 
2025-08-26T20:26:13.7287171Z  83% 438M/528M [00:00<00:00, 589MB/s]
2025-08-26T20:26:13.7287755Z 
2025-08-26T20:26:13.7869058Z  94% 495M/528M [00:00<00:00, 591MB/s]
2025-08-26T20:26:13.7869456Z 100% 528M/528M [00:00<00:00, 575MB/s]
2025-08-26T20:26:14.2190104Z 
2025-08-26T20:26:14.2190633Z loading model: 0it [00:02, ?it/s]
2025-08-26T20:26:14.2191057Z cpu  eval  vgg16                              
2025-08-26T20:26:16.7758152Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:16.7758600Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:16.7758931Z     return mod(*inputs)
2025-08-26T20:26:16.7759270Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-08-26T20:26:16.7759603Z     x = self.features(x)
2025-08-26T20:26:16.7759712Z 
2025-08-26T20:26:16.7759817Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:16.7760167Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:16.7760511Z     return mod(*inputs)
2025-08-26T20:26:16.7760821Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-08-26T20:26:16.7761125Z     x = self.features(x)
2025-08-26T20:26:16.7761234Z 
2025-08-26T20:26:16.7761335Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:16.7761671Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:16.7761974Z     return mod(*inputs)
2025-08-26T20:26:16.7762267Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-08-26T20:26:16.7762571Z     x = self.features(x)
2025-08-26T20:26:16.7762677Z 
2025-08-26T20:26:16.7762775Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:16.7763108Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:16.7763407Z     return mod(*inputs)
2025-08-26T20:26:16.7765983Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-08-26T20:26:16.7766384Z     x = self.features(x)
2025-08-26T20:26:16.7766495Z 
2025-08-26T20:26:16.7766594Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:16.7766932Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:16.7767235Z     return mod(*inputs)
2025-08-26T20:26:16.7767519Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-08-26T20:26:16.7767832Z     x = self.features(x)
2025-08-26T20:26:16.7767935Z 
2025-08-26T20:26:16.7768033Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:16.7768366Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:16.7768661Z     return mod(*inputs)
2025-08-26T20:26:16.7768954Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-08-26T20:26:16.7769274Z     x = self.features(x)
2025-08-26T20:26:16.7769375Z 
2025-08-26T20:26:16.7769479Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:16.7769813Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:16.7770107Z     return mod(*inputs)
2025-08-26T20:26:16.7770398Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-08-26T20:26:16.7770707Z     x = self.features(x)
2025-08-26T20:26:16.7770804Z 
2025-08-26T20:26:16.7770910Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:16.7771232Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:16.7771535Z     return mod(*inputs)
2025-08-26T20:26:16.7771822Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-08-26T20:26:16.7772222Z     x = self.features(x)
2025-08-26T20:26:16.7772319Z 
2025-08-26T20:26:16.7772425Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:16.7772750Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:16.7773054Z     return mod(*inputs)
2025-08-26T20:26:16.7773346Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-08-26T20:26:16.7773660Z     x = self.features(x)
2025-08-26T20:26:16.7773756Z 
2025-08-26T20:26:16.7773857Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:16.7774190Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:16.7774544Z     return mod(*inputs)
2025-08-26T20:26:16.7774823Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-08-26T20:26:16.7775132Z     x = self.features(x)
2025-08-26T20:26:16.7775241Z 
2025-08-26T20:26:16.7775339Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:16.7775673Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:16.7775966Z     return mod(*inputs)
2025-08-26T20:26:16.7776255Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-08-26T20:26:16.7776563Z     x = self.features(x)
2025-08-26T20:26:16.7776660Z 
2025-08-26T20:26:16.7776770Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:16.7777105Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:16.7777395Z     return mod(*inputs)
2025-08-26T20:26:16.7777684Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-08-26T20:26:16.7777996Z     x = self.features(x)
2025-08-26T20:26:16.7778095Z 
2025-08-26T20:26:16.7778200Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:16.7778569Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:16.7778868Z     return mod(*inputs)
2025-08-26T20:26:16.7779154Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-08-26T20:26:16.7779462Z     x = self.features(x)
2025-08-26T20:26:16.7779559Z 
2025-08-26T20:26:16.7779663Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:16.7779986Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:16.7780289Z     return mod(*inputs)
2025-08-26T20:26:16.7780574Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-08-26T20:26:16.7780882Z     x = self.features(x)
2025-08-26T20:26:16.7780980Z 
2025-08-26T20:26:16.7781076Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:16.7781417Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:16.7781719Z     return mod(*inputs)
2025-08-26T20:26:16.7782011Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-08-26T20:26:16.7782321Z     x = self.features(x)
2025-08-26T20:26:16.7782421Z 
2025-08-26T20:26:16.7782518Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:16.7782852Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:16.7783153Z     return mod(*inputs)
2025-08-26T20:26:16.7783442Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-08-26T20:26:16.7783740Z     x = self.features(x)
2025-08-26T20:26:16.7783848Z 
2025-08-26T20:26:16.7783944Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:16.7784282Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:16.7784620Z     return mod(*inputs)
2025-08-26T20:26:16.7784943Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-08-26T20:26:16.7785249Z     x = self.features(x)
2025-08-26T20:26:16.7785358Z 
2025-08-26T20:26:16.7785455Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:16.7785786Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:16.7786092Z     return mod(*inputs)
2025-08-26T20:26:16.7786373Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-08-26T20:26:16.7786683Z     x = self.features(x)
2025-08-26T20:26:16.7786788Z 
2025-08-26T20:26:16.7786886Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:16.7787220Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:16.7787524Z     return mod(*inputs)
2025-08-26T20:26:16.7787811Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-08-26T20:26:16.7788117Z     x = self.features(x)
2025-08-26T20:26:16.7788222Z 
2025-08-26T20:26:16.7788319Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:16.7788649Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:16.7788949Z     return mod(*inputs)
2025-08-26T20:26:16.7789231Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-08-26T20:26:16.7789536Z     x = self.features(x)
2025-08-26T20:26:16.7789634Z 
2025-08-26T20:26:16.7789740Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:16.7790071Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:16.7790363Z     return mod(*inputs)
2025-08-26T20:26:16.7790656Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-08-26T20:26:16.7791003Z     x = self.features(x)
2025-08-26T20:26:16.7791103Z 
2025-08-26T20:26:16.7791208Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:16.7791535Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:16.7791828Z     return mod(*inputs)
2025-08-26T20:26:16.7792115Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-08-26T20:26:16.7792419Z     x = self.features(x)
2025-08-26T20:26:16.7792514Z 
2025-08-26T20:26:16.7792616Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:16.7792936Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:16.7793232Z     return mod(*inputs)
2025-08-26T20:26:16.7793516Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-08-26T20:26:16.7793828Z     x = self.features(x)
2025-08-26T20:26:16.7793926Z 
2025-08-26T20:26:16.7794031Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:16.7794357Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:16.7794661Z     return mod(*inputs)
2025-08-26T20:26:16.7794950Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-08-26T20:26:16.7795254Z     x = self.features(x)
2025-08-26T20:26:16.7795351Z 
2025-08-26T20:26:16.7795447Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:16.7795782Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:16.7796085Z     return mod(*inputs)
2025-08-26T20:26:16.7796369Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-08-26T20:26:16.7796714Z     x = self.features(x)
2025-08-26T20:26:16.7796814Z 
2025-08-26T20:26:16.7796915Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:16.7797253Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:16.7797560Z     return mod(*inputs)
2025-08-26T20:26:16.7797852Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-08-26T20:26:16.7798160Z     x = self.features(x)
2025-08-26T20:26:16.7798269Z 
2025-08-26T20:26:16.7798366Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:16.7798702Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:16.7799007Z     return mod(*inputs)
2025-08-26T20:26:16.7799294Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-08-26T20:26:16.7799602Z     x = self.features(x)
2025-08-26T20:26:16.7799711Z 
2025-08-26T20:26:16.7799807Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:16.7800142Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:16.7800445Z     return mod(*inputs)
2025-08-26T20:26:16.7800728Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-08-26T20:26:16.7801043Z     x = self.features(x)
2025-08-26T20:26:16.7801150Z 
2025-08-26T20:26:16.7801247Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:16.7801583Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:16.7801886Z     return mod(*inputs)
2025-08-26T20:26:16.7802168Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-08-26T20:26:16.7802482Z     x = self.features(x)
2025-08-26T20:26:16.7802578Z 
2025-08-26T20:26:16.7802683Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:16.7803067Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:16.7803365Z     return mod(*inputs)
2025-08-26T20:26:16.7803655Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-08-26T20:26:16.7803959Z     x = self.features(x)
2025-08-26T20:26:16.7804056Z 
2025-08-26T20:26:16.7804163Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:16.7804496Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:16.7804786Z     return mod(*inputs)
2025-08-26T20:26:16.7805073Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-08-26T20:26:16.7805380Z     x = self.features(x)
2025-08-26T20:26:16.7805479Z 
2025-08-26T20:26:16.7805568Z cudagraph partition due to non gpu ops
2025-08-26T20:26:16.7805792Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:16.7806131Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:16.7826637Z     return mod(*inputs)
2025-08-26T20:26:16.7827028Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/vgg.py", line 69, in forward
2025-08-26T20:26:16.7827372Z     x = self.classifier(x)
2025-08-26T20:26:16.7827489Z 
2025-08-26T20:26:16.7827599Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:16.7827959Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:16.7828285Z     return mod(*inputs)
2025-08-26T20:26:16.7828597Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/vgg.py", line 69, in forward
2025-08-26T20:26:16.7828910Z     x = self.classifier(x)
2025-08-26T20:26:16.7829025Z 
2025-08-26T20:26:16.7829126Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:16.7829580Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:16.7829898Z     return mod(*inputs)
2025-08-26T20:26:16.7830207Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/vgg.py", line 69, in forward
2025-08-26T20:26:16.7830523Z     x = self.classifier(x)
2025-08-26T20:26:16.7830636Z 
2025-08-26T20:26:16.7830737Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:16.7831082Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:26:16.7831393Z     return mod(*inputs)
2025-08-26T20:26:16.7831680Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/vgg.py", line 69, in forward
2025-08-26T20:26:16.7832002Z     x = self.classifier(x)
2025-08-26T20:26:16.7832113Z 
2025-08-26T20:26:16.7832193Z cudagraph partition due to non gpu ops
2025-08-26T20:26:16.7832405Z cudagraph partition due to non gpu ops
2025-08-26T20:26:25.3296513Z 
2025-08-26T20:26:25.4542787Z running benchmark:   0% 0/50 [00:00<?, ?it/s]
2025-08-26T20:26:25.5724233Z running benchmark:   8% 4/50 [00:00<00:01, 31.94it/s]
2025-08-26T20:26:25.6942357Z running benchmark:  16% 8/50 [00:00<00:01, 33.04it/s]
2025-08-26T20:26:25.8186022Z running benchmark:  24% 12/50 [00:00<00:01, 32.94it/s]
2025-08-26T20:26:25.9359919Z running benchmark:  32% 16/50 [00:00<00:01, 32.63it/s]
2025-08-26T20:26:26.0533580Z running benchmark:  40% 20/50 [00:00<00:00, 33.14it/s]
2025-08-26T20:26:26.1716431Z running benchmark:  48% 24/50 [00:00<00:00, 33.45it/s]
2025-08-26T20:26:26.2898301Z running benchmark:  56% 28/50 [00:00<00:00, 33.57it/s]
2025-08-26T20:26:26.4078165Z running benchmark:  64% 32/50 [00:00<00:00, 33.66it/s]
2025-08-26T20:26:26.5260687Z running benchmark:  72% 36/50 [00:01<00:00, 33.73it/s]
2025-08-26T20:26:26.6441491Z running benchmark:  80% 40/50 [00:01<00:00, 33.76it/s]
2025-08-26T20:26:26.7658888Z running benchmark:  88% 44/50 [00:01<00:00, 33.80it/s]
2025-08-26T20:26:26.8329866Z running benchmark:  96% 48/50 [00:01<00:00, 33.51it/s]
2025-08-26T20:26:26.8330748Z running benchmark: 100% 50/50 [00:01<00:00, 33.24it/s]
2025-08-26T20:26:26.9124040Z 3.868x
2025-08-26T20:26:26.9124391Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:26:27.8841601Z + cat /var/lib/jenkins/workspace/test/test-reports/inductor_inference_vgg16_inductor_amp_static_cpu_smoketest.csv
2025-08-26T20:26:27.8855680Z 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
2025-08-26T20:26:27.8856408Z cpu,vgg16,4,3.868100,5.872535,9.957403,0.943888,281.102746,297.813606,42,1,0,0,0,0,1
2025-08-26T20:26:27.8857448Z + 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
2025-08-26T20:26:28.1321869Z vgg16                              3.8681
2025-08-26T20:26:28.1673786Z + IFS=,
2025-08-26T20:26:28.1674037Z + read -r -a model_cfg
2025-08-26T20:26:28.1674266Z + local model_name=hf_Longformer
2025-08-26T20:26:28.1674499Z + local data_type=amp
2025-08-26T20:26:28.1674721Z + local speedup_target=1.22015225
2025-08-26T20:26:28.1674948Z + local backend=inductor
2025-08-26T20:26:28.1675153Z + [[ default == \c\p\p ]]
2025-08-26T20:26:28.1675368Z + unset TORCHINDUCTOR_CPP_WRAPPER
2025-08-26T20:26:28.1675877Z + local output_name=/var/lib/jenkins/workspace/test/test-reports/inductor_inference_hf_Longformer_inductor_amp_dynamic_cpu_smoketest.csv
2025-08-26T20:26:28.1676364Z + [[ dynamic == \d\y\n\a\m\i\c ]]
2025-08-26T20:26:28.1677300Z + taskset -c 0-93 python benchmarks/dynamo/torchbench.py --inference --performance --amp -dcpu -n50 --only hf_Longformer --dynamic-shapes --dynamic-batch-only --freezing --timeout 9000 --inductor --output /var/lib/jenkins/workspace/test/test-reports/inductor_inference_hf_Longformer_inductor_amp_dynamic_cpu_smoketest.csv
2025-08-26T20:26:30.2341470Z 
2025-08-26T20:26:30.8169689Z loading model: 0it [00:00, ?it/s]
2025-08-26T20:26:30.8169924Z 
2025-08-26T20:26:30.8196693Z config.json:   0% 0.00/694 [00:00<?, ?B/s]
2025-08-26T20:26:30.8196937Z config.json: 100% 694/694 [00:00<00:00, 201kB/s]
2025-08-26T20:26:33.1806277Z 
2025-08-26T20:26:33.1807911Z loading model: 0it [00:02, ?it/s]
2025-08-26T20:26:33.1808829Z cpu  eval  hf_Longformer                      
2025-08-26T20:26:34.6648067Z W0826 20:26:34.664102 16027 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] Graph break from `Tensor.item()`, consider setting:
2025-08-26T20:26:34.6648793Z W0826 20:26:34.664102 16027 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]     torch._dynamo.config.capture_scalar_outputs = True
2025-08-26T20:26:34.6649365Z W0826 20:26:34.664102 16027 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] or:
2025-08-26T20:26:34.6649880Z W0826 20:26:34.664102 16027 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]     env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1
2025-08-26T20:26:34.6650568Z W0826 20:26:34.664102 16027 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] to include these operations in the captured graph.
2025-08-26T20:26:34.6651098Z W0826 20:26:34.664102 16027 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] 
2025-08-26T20:26:34.6651605Z W0826 20:26:34.664102 16027 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] Graph break: from user code at:
2025-08-26T20:26:34.6652339Z W0826 20:26:34.664102 16027 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:26:34.6653030Z W0826 20:26:34.664102 16027 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]     return mod(**inputs)
2025-08-26T20:26:34.6654199Z W0826 20:26:34.664102 16027 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1703, in forward
2025-08-26T20:26:34.6655029Z W0826 20:26:34.664102 16027 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]     outputs = self.longformer(
2025-08-26T20:26:34.6655843Z W0826 20:26:34.664102 16027 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1600, in forward
2025-08-26T20:26:34.6656660Z W0826 20:26:34.664102 16027 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]     encoder_outputs = self.encoder(
2025-08-26T20:26:34.6657478Z W0826 20:26:34.664102 16027 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1244, in forward
2025-08-26T20:26:34.6658339Z W0826 20:26:34.664102 16027 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]     is_global_attn = is_index_global_attn.flatten().any().item()
2025-08-26T20:26:34.6658889Z W0826 20:26:34.664102 16027 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] 
2025-08-26T20:26:34.6659326Z W0826 20:26:34.664102 16027 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] 
2025-08-26T20:26:35.6868726Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:35.6869370Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1596, in forward
2025-08-26T20:26:35.6869830Z     embedding_output = self.embeddings(
2025-08-26T20:26:35.6870238Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 410, in forward
2025-08-26T20:26:35.6870757Z     position_ids = create_position_ids_from_input_ids(input_ids, self.padding_idx).to(input_ids.device)
2025-08-26T20:26:35.6871352Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 381, in create_position_ids_from_input_ids
2025-08-26T20:26:35.6872092Z     mask = input_ids.ne(padding_idx).int()
2025-08-26T20:26:35.6872230Z 
2025-08-26T20:26:35.6872346Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:35.6872763Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1592, in forward
2025-08-26T20:26:35.6873276Z     extended_attention_mask: torch.Tensor = self.get_extended_attention_mask(attention_mask, input_shape)[
2025-08-26T20:26:35.6873776Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_utils.py", line 1763, in get_extended_attention_mask
2025-08-26T20:26:35.6874236Z     extended_attention_mask = (1.0 - extended_attention_mask) * torch.finfo(dtype).min
2025-08-26T20:26:35.6874442Z 
2025-08-26T20:26:35.6874551Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:35.6874976Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1596, in forward
2025-08-26T20:26:35.6875371Z     embedding_output = self.embeddings(
2025-08-26T20:26:35.6875766Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 410, in forward
2025-08-26T20:26:35.6876261Z     position_ids = create_position_ids_from_input_ids(input_ids, self.padding_idx).to(input_ids.device)
2025-08-26T20:26:35.6876977Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 382, in create_position_ids_from_input_ids
2025-08-26T20:26:35.6877603Z     incremental_indices = torch.cumsum(mask, dim=1).type_as(mask) * mask
2025-08-26T20:26:35.6877819Z 
2025-08-26T20:26:35.6877938Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:35.6878445Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1596, in forward
2025-08-26T20:26:35.6879028Z     embedding_output = self.embeddings(
2025-08-26T20:26:35.6879504Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 410, in forward
2025-08-26T20:26:35.6880117Z     position_ids = create_position_ids_from_input_ids(input_ids, self.padding_idx).to(input_ids.device)
2025-08-26T20:26:35.6880793Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 382, in create_position_ids_from_input_ids
2025-08-26T20:26:35.6881408Z     incremental_indices = torch.cumsum(mask, dim=1).type_as(mask) * mask
2025-08-26T20:26:35.6881636Z 
2025-08-26T20:26:56.3127009Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3127654Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3128329Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3128733Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3129209Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3129716Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3130157Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3130604Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3131080Z     self_outputs = self.self(
2025-08-26T20:26:56.3131602Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward
2025-08-26T20:26:56.3132135Z     query_vectors = self.query(hidden_states)
2025-08-26T20:26:56.3132584Z 
2025-08-26T20:26:56.3132689Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3133186Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3133720Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3134058Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3134417Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3134801Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3135196Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3135685Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3136093Z     self_outputs = self.self(
2025-08-26T20:26:56.3136654Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 536, in forward
2025-08-26T20:26:56.3137272Z     diagonal_mask = self._sliding_chunks_query_key_matmul(
2025-08-26T20:26:56.3138052Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 787, in _sliding_chunks_query_key_matmul
2025-08-26T20:26:56.3138754Z     key = key.transpose(1, 2).reshape(batch_size * num_heads, seq_len, head_dim)
2025-08-26T20:26:56.3139039Z 
2025-08-26T20:26:56.3139151Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3139417Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3139753Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3140458Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3141061Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3141487Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3141836Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3142236Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3142639Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3143026Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3143414Z     self_outputs = self.self(
2025-08-26T20:26:56.3143785Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T20:26:56.3144206Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T20:26:56.3144670Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-26T20:26:56.3145240Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-26T20:26:56.3145469Z 
2025-08-26T20:26:56.3145554Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3145753Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3145984Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3146463Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3146912Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3147237Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3147578Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3148014Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3148408Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3148793Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3149180Z     self_outputs = self.self(
2025-08-26T20:26:56.3149545Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T20:26:56.3149967Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T20:26:56.3150426Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-26T20:26:56.3150968Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-26T20:26:56.3151196Z 
2025-08-26T20:26:56.3151282Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3151476Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3151676Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3151869Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3152091Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3152564Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3153024Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3153351Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3153703Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3154088Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3154483Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3154913Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3155310Z     self_outputs = self.self(
2025-08-26T20:26:56.3155684Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 536, in forward
2025-08-26T20:26:56.3156108Z     diagonal_mask = self._sliding_chunks_query_key_matmul(
2025-08-26T20:26:56.3156574Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 834, in _sliding_chunks_query_key_matmul
2025-08-26T20:26:56.3157089Z     self._mask_invalid_locations(diagonal_attention_scores, window_overlap)
2025-08-26T20:26:56.3157586Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 762, in _mask_invalid_locations
2025-08-26T20:26:56.3158097Z     input_tensor[:, :affected_seq_len, :, : affected_seq_len + 1] = torch.full_like(
2025-08-26T20:26:56.3158288Z 
2025-08-26T20:26:56.3158374Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3158596Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3159074Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3159527Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3159858Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3160202Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3160590Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3160986Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3161384Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3162660Z     self_outputs = self.self(
2025-08-26T20:26:56.3163030Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward
2025-08-26T20:26:56.3163423Z     attn_scores += diagonal_mask
2025-08-26T20:26:56.3163549Z 
2025-08-26T20:26:56.3163651Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3164136Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3164593Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3164912Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3165256Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3165654Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3166217Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3166631Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3167022Z     self_outputs = self.self(
2025-08-26T20:26:56.3167413Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward
2025-08-26T20:26:56.3167825Z     attn_probs = nn.functional.softmax(
2025-08-26T20:26:56.3167954Z 
2025-08-26T20:26:56.3168042Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3168254Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3168482Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3168981Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3169535Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3169876Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3170225Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3170633Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3171041Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3171443Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3171842Z     self_outputs = self.self(
2025-08-26T20:26:56.3172219Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:26:56.3172668Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:26:56.3173176Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 863, in _sliding_chunks_matmul_attn_probs_value
2025-08-26T20:26:56.3173744Z     padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1)
2025-08-26T20:26:56.3174159Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-26T20:26:56.3174496Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-26T20:26:56.3174651Z 
2025-08-26T20:26:56.3174753Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3175253Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3175717Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3176053Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3176448Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3176854Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3177259Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3177656Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3178048Z     self_outputs = self.self(
2025-08-26T20:26:56.3178422Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:26:56.3178857Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:26:56.3179356Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 876, in _sliding_chunks_matmul_attn_probs_value
2025-08-26T20:26:56.3179880Z     chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs)
2025-08-26T20:26:56.3180368Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize
2025-08-26T20:26:56.3180813Z     chunked_hidden_states = nn.functional.pad(
2025-08-26T20:26:56.3181144Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-26T20:26:56.3181484Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-26T20:26:56.3181631Z 
2025-08-26T20:26:56.3181743Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3182233Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3182691Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3183029Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3183426Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3183830Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3184225Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3184621Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3185017Z     self_outputs = self.self(
2025-08-26T20:26:56.3185402Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:26:56.3185838Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:26:56.3186336Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-26T20:26:56.3186884Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-26T20:26:56.3187092Z 
2025-08-26T20:26:56.3187195Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3187696Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3188162Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3188491Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3188846Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3189246Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3189649Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3190080Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3190470Z     self_outputs = self.self(
2025-08-26T20:26:56.3190853Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:26:56.3191286Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:26:56.3191786Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-26T20:26:56.3192322Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-26T20:26:56.3192515Z 
2025-08-26T20:26:56.3192616Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3193104Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3193573Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3193910Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3194263Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3194659Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3195064Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3195463Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3195864Z     self_outputs = self.self(
2025-08-26T20:26:56.3196250Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 618, in forward
2025-08-26T20:26:56.3196753Z     attn_output = attn_output.transpose(0, 1).reshape(seq_len, batch_size, embed_dim).contiguous()
2025-08-26T20:26:56.3196989Z 
2025-08-26T20:26:56.3197102Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3197318Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3197526Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3197723Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3197928Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3198132Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3198380Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3198881Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3199351Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3199685Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3200039Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3200445Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3200848Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3201244Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3201643Z     self_outputs = self.self(
2025-08-26T20:26:56.3202022Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward
2025-08-26T20:26:56.3202439Z     query_vectors = self.query(hidden_states)
2025-08-26T20:26:56.3202580Z 
2025-08-26T20:26:56.3202659Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3202865Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3203097Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3203624Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3204099Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3204434Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3204794Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3205187Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3205592Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3205990Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3206391Z     self_outputs = self.self(
2025-08-26T20:26:56.3206776Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T20:26:56.3207208Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T20:26:56.3207694Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-26T20:26:56.3208261Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-26T20:26:56.3208499Z 
2025-08-26T20:26:56.3208587Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3208796Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3209021Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3209518Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3209984Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3210322Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3210708Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3211112Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3211518Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3211923Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3212328Z     self_outputs = self.self(
2025-08-26T20:26:56.3212708Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T20:26:56.3213143Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T20:26:56.3213632Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-26T20:26:56.3214208Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-26T20:26:56.3214442Z 
2025-08-26T20:26:56.3214530Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3214731Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3214966Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3215464Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3215935Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3216273Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3216623Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3217029Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3217476Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3217889Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3218290Z     self_outputs = self.self(
2025-08-26T20:26:56.3218668Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward
2025-08-26T20:26:56.3219076Z     attn_scores += diagonal_mask
2025-08-26T20:26:56.3219202Z 
2025-08-26T20:26:56.3219306Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3219801Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3220271Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3220601Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3220965Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3221371Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3221781Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3222175Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3222576Z     self_outputs = self.self(
2025-08-26T20:26:56.3222964Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward
2025-08-26T20:26:56.3223373Z     attn_probs = nn.functional.softmax(
2025-08-26T20:26:56.3223504Z 
2025-08-26T20:26:56.3223589Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3223794Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3224031Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3224555Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3225032Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3225368Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3225732Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3226124Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3226520Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3226912Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3227293Z     self_outputs = self.self(
2025-08-26T20:26:56.3227672Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:26:56.3228112Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:26:56.3228608Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 863, in _sliding_chunks_matmul_attn_probs_value
2025-08-26T20:26:56.3229165Z     padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1)
2025-08-26T20:26:56.3229564Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-26T20:26:56.3229901Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-26T20:26:56.3230052Z 
2025-08-26T20:26:56.3230154Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3230645Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3231154Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3231479Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3231829Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3232224Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3232622Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3233012Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3233390Z     self_outputs = self.self(
2025-08-26T20:26:56.3233767Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:26:56.3234197Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:26:56.3234698Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 876, in _sliding_chunks_matmul_attn_probs_value
2025-08-26T20:26:56.3235213Z     chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs)
2025-08-26T20:26:56.3235683Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize
2025-08-26T20:26:56.3236128Z     chunked_hidden_states = nn.functional.pad(
2025-08-26T20:26:56.3236451Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-26T20:26:56.3236783Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-26T20:26:56.3236925Z 
2025-08-26T20:26:56.3237033Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3237512Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3237977Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3238336Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3238683Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3239074Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3239460Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3239850Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3240238Z     self_outputs = self.self(
2025-08-26T20:26:56.3240620Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:26:56.3241044Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:26:56.3241541Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-26T20:26:56.3242073Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-26T20:26:56.3242273Z 
2025-08-26T20:26:56.3242372Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3242853Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3243310Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3243633Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3243973Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3244366Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3244797Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3245181Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3245574Z     self_outputs = self.self(
2025-08-26T20:26:56.3245948Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:26:56.3246378Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:26:56.3246872Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-26T20:26:56.3247396Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-26T20:26:56.3247596Z 
2025-08-26T20:26:56.3247697Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3248190Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3248641Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3248972Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3249310Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3249704Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3250099Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3250493Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3250882Z     self_outputs = self.self(
2025-08-26T20:26:56.3251253Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 618, in forward
2025-08-26T20:26:56.3251780Z     attn_output = attn_output.transpose(0, 1).reshape(seq_len, batch_size, embed_dim).contiguous()
2025-08-26T20:26:56.3252013Z 
2025-08-26T20:26:56.3252090Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3252298Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3252503Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3252694Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3252891Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3253089Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3253313Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3253789Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3254248Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3254581Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3254925Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3255313Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3255711Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3256105Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3256495Z     self_outputs = self.self(
2025-08-26T20:26:56.3256872Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward
2025-08-26T20:26:56.3257264Z     query_vectors = self.query(hidden_states)
2025-08-26T20:26:56.3257402Z 
2025-08-26T20:26:56.3257475Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3257710Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3257941Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3258431Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3258881Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3259210Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3259557Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3259950Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3260341Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3260721Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3261117Z     self_outputs = self.self(
2025-08-26T20:26:56.3261494Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T20:26:56.3261916Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T20:26:56.3262382Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-26T20:26:56.3262935Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-26T20:26:56.3263173Z 
2025-08-26T20:26:56.3263250Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3263454Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3263681Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3264159Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3264620Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3264987Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3265339Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3265735Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3266203Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3266598Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3266988Z     self_outputs = self.self(
2025-08-26T20:26:56.3267368Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T20:26:56.3267795Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T20:26:56.3268265Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-26T20:26:56.3268818Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-26T20:26:56.3269058Z 
2025-08-26T20:26:56.3269135Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3269341Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3269562Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3270043Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3270498Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3270825Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3271171Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3271641Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3272041Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3272434Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3272824Z     self_outputs = self.self(
2025-08-26T20:26:56.3273199Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward
2025-08-26T20:26:56.3273582Z     attn_scores += diagonal_mask
2025-08-26T20:26:56.3273708Z 
2025-08-26T20:26:56.3273807Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3274292Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3274750Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3275082Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3275426Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3275821Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3276212Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3276604Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3276985Z     self_outputs = self.self(
2025-08-26T20:26:56.3277361Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward
2025-08-26T20:26:56.3277980Z     attn_probs = nn.functional.softmax(
2025-08-26T20:26:56.3278113Z 
2025-08-26T20:26:56.3278191Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3278398Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3278657Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3279138Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3279595Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3279921Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3280264Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3280647Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3281043Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3281430Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3281821Z     self_outputs = self.self(
2025-08-26T20:26:56.3282200Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:26:56.3282621Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:26:56.3283124Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 863, in _sliding_chunks_matmul_attn_probs_value
2025-08-26T20:26:56.3283674Z     padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1)
2025-08-26T20:26:56.3284081Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-26T20:26:56.3284414Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-26T20:26:56.3284558Z 
2025-08-26T20:26:56.3284658Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3285195Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3285658Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3285987Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3286327Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3286710Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3287102Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3287489Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3287873Z     self_outputs = self.self(
2025-08-26T20:26:56.3288238Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:26:56.3288674Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:26:56.3289169Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 876, in _sliding_chunks_matmul_attn_probs_value
2025-08-26T20:26:56.3289685Z     chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs)
2025-08-26T20:26:56.3290160Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize
2025-08-26T20:26:56.3290594Z     chunked_hidden_states = nn.functional.pad(
2025-08-26T20:26:56.3290912Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-26T20:26:56.3291244Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-26T20:26:56.3291388Z 
2025-08-26T20:26:56.3291494Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3292009Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3292464Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3292797Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3293143Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3293541Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3293935Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3294322Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3294709Z     self_outputs = self.self(
2025-08-26T20:26:56.3295086Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:26:56.3295524Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:26:56.3296019Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-26T20:26:56.3296546Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-26T20:26:56.3296747Z 
2025-08-26T20:26:56.3296846Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3297335Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3297796Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3298126Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3298494Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3298894Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3299289Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3299681Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3300067Z     self_outputs = self.self(
2025-08-26T20:26:56.3300436Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:26:56.3300865Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:26:56.3301360Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-26T20:26:56.3301888Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-26T20:26:56.3302083Z 
2025-08-26T20:26:56.3302194Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3302669Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3303128Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3303459Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3303807Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3304193Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3304585Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3304974Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3305364Z     self_outputs = self.self(
2025-08-26T20:26:56.3305763Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 618, in forward
2025-08-26T20:26:56.3306257Z     attn_output = attn_output.transpose(0, 1).reshape(seq_len, batch_size, embed_dim).contiguous()
2025-08-26T20:26:56.3306489Z 
2025-08-26T20:26:56.3306569Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3306776Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3306982Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3307182Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3307375Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3307573Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3307799Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3308295Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3308752Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3309084Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3309435Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3309834Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3310228Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3310618Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3311011Z     self_outputs = self.self(
2025-08-26T20:26:56.3311389Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward
2025-08-26T20:26:56.3311828Z     query_vectors = self.query(hidden_states)
2025-08-26T20:26:56.3311964Z 
2025-08-26T20:26:56.3312052Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3312250Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3312478Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3312968Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3313432Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3313759Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3314109Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3314508Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3314911Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3315316Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3315707Z     self_outputs = self.self(
2025-08-26T20:26:56.3316084Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T20:26:56.3316508Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T20:26:56.3316988Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-26T20:26:56.3317545Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-26T20:26:56.3317776Z 
2025-08-26T20:26:56.3317854Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3318058Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3318288Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3318808Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3319261Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3319592Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3319940Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3320335Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3320733Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3321118Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3321508Z     self_outputs = self.self(
2025-08-26T20:26:56.3321883Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T20:26:56.3322310Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T20:26:56.3322780Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-26T20:26:56.3323322Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-26T20:26:56.3323552Z 
2025-08-26T20:26:56.3323629Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3323833Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3324062Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3324551Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3324996Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3325365Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3325718Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3326121Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3326517Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3326914Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3327315Z     self_outputs = self.self(
2025-08-26T20:26:56.3327702Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward
2025-08-26T20:26:56.3328098Z     attn_scores += diagonal_mask
2025-08-26T20:26:56.3328217Z 
2025-08-26T20:26:56.3328318Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3328811Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3329277Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3329612Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3329962Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3330356Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3330762Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3331158Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3331555Z     self_outputs = self.self(
2025-08-26T20:26:56.3331935Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward
2025-08-26T20:26:56.3332336Z     attn_probs = nn.functional.softmax(
2025-08-26T20:26:56.3332517Z 
2025-08-26T20:26:56.3332595Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3332800Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3333029Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3333510Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3333969Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3334299Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3334652Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3335056Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3335453Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3335852Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3336247Z     self_outputs = self.self(
2025-08-26T20:26:56.3336626Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:26:56.3337061Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:26:56.3337555Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 863, in _sliding_chunks_matmul_attn_probs_value
2025-08-26T20:26:56.3338113Z     padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1)
2025-08-26T20:26:56.3338529Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-26T20:26:56.3338867Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-26T20:26:56.3339045Z 
2025-08-26T20:26:56.3339156Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3339638Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3340098Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3340432Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3340779Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3341176Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3341573Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3341971Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3342363Z     self_outputs = self.self(
2025-08-26T20:26:56.3342745Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:26:56.3343173Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:26:56.3343672Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 876, in _sliding_chunks_matmul_attn_probs_value
2025-08-26T20:26:56.3344193Z     chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs)
2025-08-26T20:26:56.3344677Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize
2025-08-26T20:26:56.3345121Z     chunked_hidden_states = nn.functional.pad(
2025-08-26T20:26:56.3345439Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-26T20:26:56.3345774Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-26T20:26:56.3345923Z 
2025-08-26T20:26:56.3346049Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3346536Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3346994Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3347316Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3347660Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3348054Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3348448Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3348837Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3349222Z     self_outputs = self.self(
2025-08-26T20:26:56.3349602Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:26:56.3350031Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:26:56.3350526Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-26T20:26:56.3351053Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-26T20:26:56.3351246Z 
2025-08-26T20:26:56.3351343Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3351829Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3352286Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3352655Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3353009Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3353409Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3353814Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3354218Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3354618Z     self_outputs = self.self(
2025-08-26T20:26:56.3355004Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:26:56.3355442Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:26:56.3355954Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-26T20:26:56.3356500Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-26T20:26:56.3356696Z 
2025-08-26T20:26:56.3356802Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3357299Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3357761Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3358099Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3358452Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3358854Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3359265Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3359691Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3360083Z     self_outputs = self.self(
2025-08-26T20:26:56.3360458Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 618, in forward
2025-08-26T20:26:56.3360952Z     attn_output = attn_output.transpose(0, 1).reshape(seq_len, batch_size, embed_dim).contiguous()
2025-08-26T20:26:56.3361174Z 
2025-08-26T20:26:56.3361262Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3361462Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3361668Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3361868Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3362067Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3362259Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3362484Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3362972Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3363430Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3363749Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3364095Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3364488Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3364881Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3365272Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3365653Z     self_outputs = self.self(
2025-08-26T20:26:56.3366091Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward
2025-08-26T20:26:56.3366566Z     query_vectors = self.query(hidden_states)
2025-08-26T20:26:56.3366698Z 
2025-08-26T20:26:56.3366782Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3366975Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3367203Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3367690Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3368155Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3368488Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3368827Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3369228Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3369634Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3370035Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3370429Z     self_outputs = self.self(
2025-08-26T20:26:56.3370802Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T20:26:56.3371227Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T20:26:56.3371706Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-26T20:26:56.3372265Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-26T20:26:56.3372498Z 
2025-08-26T20:26:56.3372584Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3372786Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3373086Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3373569Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3374021Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3374344Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3374693Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3375092Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3375494Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3375890Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3376280Z     self_outputs = self.self(
2025-08-26T20:26:56.3376662Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T20:26:56.3377082Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T20:26:56.3377555Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-26T20:26:56.3378107Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-26T20:26:56.3378331Z 
2025-08-26T20:26:56.3378406Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3378613Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3378837Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3379320Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3379813Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3380142Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3380489Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3380884Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3381278Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3381663Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3382055Z     self_outputs = self.self(
2025-08-26T20:26:56.3382432Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward
2025-08-26T20:26:56.3382819Z     attn_scores += diagonal_mask
2025-08-26T20:26:56.3382938Z 
2025-08-26T20:26:56.3383045Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3383526Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3383983Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3384314Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3384660Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3385056Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3385440Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3385834Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3386227Z     self_outputs = self.self(
2025-08-26T20:26:56.3386642Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward
2025-08-26T20:26:56.3387045Z     attn_probs = nn.functional.softmax(
2025-08-26T20:26:56.3387173Z 
2025-08-26T20:26:56.3387251Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3387460Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3387690Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3388177Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3388631Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3388965Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3389314Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3389717Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3390114Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3390502Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3390894Z     self_outputs = self.self(
2025-08-26T20:26:56.3391272Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:26:56.3391703Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:26:56.3392203Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 863, in _sliding_chunks_matmul_attn_probs_value
2025-08-26T20:26:56.3392752Z     padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1)
2025-08-26T20:26:56.3393188Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-26T20:26:56.3393526Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-26T20:26:56.3393670Z 
2025-08-26T20:26:56.3393776Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3394265Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3394719Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3395051Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3395397Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3395794Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3396191Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3396582Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3396976Z     self_outputs = self.self(
2025-08-26T20:26:56.3397351Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:26:56.3397784Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:26:56.3398276Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 876, in _sliding_chunks_matmul_attn_probs_value
2025-08-26T20:26:56.3398791Z     chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs)
2025-08-26T20:26:56.3399278Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize
2025-08-26T20:26:56.3399723Z     chunked_hidden_states = nn.functional.pad(
2025-08-26T20:26:56.3400078Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-26T20:26:56.3400407Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-26T20:26:56.3400561Z 
2025-08-26T20:26:56.3400666Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3401160Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3401623Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3401958Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3402303Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3402707Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3403110Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3403515Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3403911Z     self_outputs = self.self(
2025-08-26T20:26:56.3404284Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:26:56.3404726Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:26:56.3405228Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-26T20:26:56.3405765Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-26T20:26:56.3405961Z 
2025-08-26T20:26:56.3406072Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3406560Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3407059Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3407388Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3407734Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3408130Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3408522Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3408917Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3409309Z     self_outputs = self.self(
2025-08-26T20:26:56.3409698Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:26:56.3410127Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:26:56.3410616Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-26T20:26:56.3411145Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-26T20:26:56.3411339Z 
2025-08-26T20:26:56.3411440Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3411927Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3412390Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3412710Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3413056Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3413453Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3413883Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3414276Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3414655Z     self_outputs = self.self(
2025-08-26T20:26:56.3415029Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 618, in forward
2025-08-26T20:26:56.3415517Z     attn_output = attn_output.transpose(0, 1).reshape(seq_len, batch_size, embed_dim).contiguous()
2025-08-26T20:26:56.3415738Z 
2025-08-26T20:26:56.3415824Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3416024Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3416228Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3416425Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3416625Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3416822Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3417039Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3417523Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3417980Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3418304Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3418639Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3419032Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3419429Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3419818Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3420244Z     self_outputs = self.self(
2025-08-26T20:26:56.3420614Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward
2025-08-26T20:26:56.3421020Z     query_vectors = self.query(hidden_states)
2025-08-26T20:26:56.3421161Z 
2025-08-26T20:26:56.3421238Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3421441Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3421658Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3422147Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3422607Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3422940Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3423288Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3423676Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3424074Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3424466Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3424856Z     self_outputs = self.self(
2025-08-26T20:26:56.3425231Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T20:26:56.3425640Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T20:26:56.3426114Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-26T20:26:56.3426665Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-26T20:26:56.3426896Z 
2025-08-26T20:26:56.3427010Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3427213Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3427432Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3427926Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3428397Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3428734Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3429085Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3429484Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3429885Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3430290Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3430691Z     self_outputs = self.self(
2025-08-26T20:26:56.3431066Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T20:26:56.3431495Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T20:26:56.3431974Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-26T20:26:56.3432535Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-26T20:26:56.3432764Z 
2025-08-26T20:26:56.3432848Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3433044Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3433273Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3433795Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3434254Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3434585Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3434916Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3435308Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3435703Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3436096Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3436487Z     self_outputs = self.self(
2025-08-26T20:26:56.3436854Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward
2025-08-26T20:26:56.3437249Z     attn_scores += diagonal_mask
2025-08-26T20:26:56.3437374Z 
2025-08-26T20:26:56.3437473Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3437955Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3438405Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3438735Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3439079Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3439477Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3439875Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3440258Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3440683Z     self_outputs = self.self(
2025-08-26T20:26:56.3441060Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward
2025-08-26T20:26:56.3441460Z     attn_probs = nn.functional.softmax(
2025-08-26T20:26:56.3441585Z 
2025-08-26T20:26:56.3441671Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3441869Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3442098Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3442580Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3443039Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3443361Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3443707Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3444102Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3444495Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3444882Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3445265Z     self_outputs = self.self(
2025-08-26T20:26:56.3445637Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:26:56.3446068Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:26:56.3446564Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 863, in _sliding_chunks_matmul_attn_probs_value
2025-08-26T20:26:56.3447156Z     padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1)
2025-08-26T20:26:56.3447553Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-26T20:26:56.3447890Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-26T20:26:56.3448040Z 
2025-08-26T20:26:56.3448138Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3448629Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3449092Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3449416Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3449762Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3450159Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3450565Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3450957Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3451340Z     self_outputs = self.self(
2025-08-26T20:26:56.3451716Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:26:56.3452146Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:26:56.3452636Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 876, in _sliding_chunks_matmul_attn_probs_value
2025-08-26T20:26:56.3453148Z     chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs)
2025-08-26T20:26:56.3453618Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize
2025-08-26T20:26:56.3454094Z     chunked_hidden_states = nn.functional.pad(
2025-08-26T20:26:56.3454418Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-26T20:26:56.3454749Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-26T20:26:56.3454890Z 
2025-08-26T20:26:56.3454999Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3455474Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3455932Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3456263Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3456606Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3456996Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3457399Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3457797Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3458189Z     self_outputs = self.self(
2025-08-26T20:26:56.3458567Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:26:56.3458996Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:26:56.3459492Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-26T20:26:56.3460022Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-26T20:26:56.3460216Z 
2025-08-26T20:26:56.3460355Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3460845Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3461299Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3461629Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3461976Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3462372Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3462768Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3463149Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3463534Z     self_outputs = self.self(
2025-08-26T20:26:56.3463915Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:26:56.3464347Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:26:56.3464841Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-26T20:26:56.3465362Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-26T20:26:56.3465557Z 
2025-08-26T20:26:56.3465657Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3466292Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3466862Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3467265Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3467683Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3468244Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3468740Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3469222Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3469701Z     self_outputs = self.self(
2025-08-26T20:26:56.3470159Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 618, in forward
2025-08-26T20:26:56.3470772Z     attn_output = attn_output.transpose(0, 1).reshape(seq_len, batch_size, embed_dim).contiguous()
2025-08-26T20:26:56.3471052Z 
2025-08-26T20:26:56.3471140Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3471376Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3471605Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3471847Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3472081Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3472281Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3472497Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3472981Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3473438Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3473766Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3474110Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3474493Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3474937Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3475333Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3475726Z     self_outputs = self.self(
2025-08-26T20:26:56.3476108Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward
2025-08-26T20:26:56.3476504Z     query_vectors = self.query(hidden_states)
2025-08-26T20:26:56.3476645Z 
2025-08-26T20:26:56.3476722Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3476926Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3477157Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3477637Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3478096Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3478436Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3478784Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3479182Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3479568Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3479968Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3480358Z     self_outputs = self.self(
2025-08-26T20:26:56.3480736Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T20:26:56.3481153Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T20:26:56.3481616Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-26T20:26:56.3482200Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-26T20:26:56.3482436Z 
2025-08-26T20:26:56.3482513Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3482721Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3482946Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3483425Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3483884Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3484212Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3484556Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3484949Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3485338Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3485728Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3486117Z     self_outputs = self.self(
2025-08-26T20:26:56.3486490Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T20:26:56.3486900Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T20:26:56.3487372Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-26T20:26:56.3487918Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-26T20:26:56.3488145Z 
2025-08-26T20:26:56.3488222Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3488484Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3488711Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3489199Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3489658Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3489989Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3490335Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3490724Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3491123Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3491518Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3491915Z     self_outputs = self.self(
2025-08-26T20:26:56.3492297Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward
2025-08-26T20:26:56.3492688Z     attn_scores += diagonal_mask
2025-08-26T20:26:56.3492815Z 
2025-08-26T20:26:56.3492917Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3493405Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3493861Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3494191Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3494529Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3494926Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3495326Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3495751Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3496137Z     self_outputs = self.self(
2025-08-26T20:26:56.3496521Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward
2025-08-26T20:26:56.3496924Z     attn_probs = nn.functional.softmax(
2025-08-26T20:26:56.3497053Z 
2025-08-26T20:26:56.3497141Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3497348Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3497571Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3498065Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3498534Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3498869Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3499221Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3499615Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3500018Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3500418Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3500816Z     self_outputs = self.self(
2025-08-26T20:26:56.3501186Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:26:56.3501623Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:26:56.3502158Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 863, in _sliding_chunks_matmul_attn_probs_value
2025-08-26T20:26:56.3502708Z     padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1)
2025-08-26T20:26:56.3503108Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-26T20:26:56.3503433Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-26T20:26:56.3503584Z 
2025-08-26T20:26:56.3503685Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3504166Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3504622Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3504949Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3505290Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3505685Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3506080Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3506470Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3506853Z     self_outputs = self.self(
2025-08-26T20:26:56.3507227Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:26:56.3507667Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:26:56.3508172Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 876, in _sliding_chunks_matmul_attn_probs_value
2025-08-26T20:26:56.3508701Z     chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs)
2025-08-26T20:26:56.3509228Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize
2025-08-26T20:26:56.3509671Z     chunked_hidden_states = nn.functional.pad(
2025-08-26T20:26:56.3510000Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-26T20:26:56.3510336Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-26T20:26:56.3510480Z 
2025-08-26T20:26:56.3510587Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3511077Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3511532Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3511864Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3512214Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3512619Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3513024Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3513415Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3513811Z     self_outputs = self.self(
2025-08-26T20:26:56.3514190Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:26:56.3514624Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:26:56.3515116Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-26T20:26:56.3515688Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-26T20:26:56.3515894Z 
2025-08-26T20:26:56.3515996Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3516486Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3516947Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3517270Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3517615Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3518011Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3518409Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3518806Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3519195Z     self_outputs = self.self(
2025-08-26T20:26:56.3519576Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:26:56.3520010Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:26:56.3520511Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-26T20:26:56.3521042Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-26T20:26:56.3521231Z 
2025-08-26T20:26:56.3521330Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3521819Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3522277Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3522633Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3522975Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3523359Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3523751Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3524143Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3524528Z     self_outputs = self.self(
2025-08-26T20:26:56.3524908Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 618, in forward
2025-08-26T20:26:56.3525394Z     attn_output = attn_output.transpose(0, 1).reshape(seq_len, batch_size, embed_dim).contiguous()
2025-08-26T20:26:56.3525627Z 
2025-08-26T20:26:56.3525706Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3525916Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3526121Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3526311Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3526510Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3526706Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3526807Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3527149Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3527218Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3527434Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3527513Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3527809Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3527892Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3528153Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3528229Z     self_outputs = self.self(
2025-08-26T20:26:56.3528492Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward
2025-08-26T20:26:56.3528583Z     query_vectors = self.query(hidden_states)
2025-08-26T20:26:56.3528586Z 
2025-08-26T20:26:56.3528659Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3528732Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3528838Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3529166Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3529250Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3529456Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3529534Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3529802Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3529874Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3530145Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3530215Z     self_outputs = self.self(
2025-08-26T20:26:56.3530474Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T20:26:56.3530586Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T20:26:56.3530946Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-26T20:26:56.3531135Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-26T20:26:56.3531139Z 
2025-08-26T20:26:56.3531212Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3531297Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3531396Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3531726Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3531802Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3532013Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3532098Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3532370Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3532450Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3532716Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3532782Z     self_outputs = self.self(
2025-08-26T20:26:56.3533057Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T20:26:56.3533159Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T20:26:56.3533490Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-26T20:26:56.3533666Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-26T20:26:56.3533699Z 
2025-08-26T20:26:56.3533775Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3533856Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3533958Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3534292Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3534359Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3534576Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3534652Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3534918Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3534999Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3535268Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3535342Z     self_outputs = self.self(
2025-08-26T20:26:56.3535603Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward
2025-08-26T20:26:56.3535671Z     attn_scores += diagonal_mask
2025-08-26T20:26:56.3535674Z 
2025-08-26T20:26:56.3535782Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3536112Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3536189Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3536397Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3536480Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3536773Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3536846Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3537114Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3537181Z     self_outputs = self.self(
2025-08-26T20:26:56.3537447Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward
2025-08-26T20:26:56.3537524Z     attn_probs = nn.functional.softmax(
2025-08-26T20:26:56.3537527Z 
2025-08-26T20:26:56.3537601Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3537683Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3537780Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3538116Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3538186Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3538398Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3538473Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3538732Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3538808Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3539069Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3539147Z     self_outputs = self.self(
2025-08-26T20:26:56.3539406Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:26:56.3539552Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:26:56.3539898Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 863, in _sliding_chunks_matmul_attn_probs_value
2025-08-26T20:26:56.3540062Z     padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1)
2025-08-26T20:26:56.3540251Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-26T20:26:56.3540345Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-26T20:26:56.3540348Z 
2025-08-26T20:26:56.3540455Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3540783Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3540851Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3541073Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3541147Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3541421Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3541493Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3541756Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3541833Z     self_outputs = self.self(
2025-08-26T20:26:56.3542097Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:26:56.3542214Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:26:56.3542547Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 876, in _sliding_chunks_matmul_attn_probs_value
2025-08-26T20:26:56.3542720Z     chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs)
2025-08-26T20:26:56.3543021Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize
2025-08-26T20:26:56.3543109Z     chunked_hidden_states = nn.functional.pad(
2025-08-26T20:26:56.3543299Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-26T20:26:56.3543391Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-26T20:26:56.3543394Z 
2025-08-26T20:26:56.3543498Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3543830Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3543911Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3544124Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3544198Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3544471Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3544543Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3544816Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3544884Z     self_outputs = self.self(
2025-08-26T20:26:56.3545144Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:26:56.3545263Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:26:56.3545597Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-26T20:26:56.3545785Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-26T20:26:56.3545788Z 
2025-08-26T20:26:56.3545887Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3546225Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3546294Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3546502Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3546587Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3546853Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3546935Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3547209Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3547283Z     self_outputs = self.self(
2025-08-26T20:26:56.3547544Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:26:56.3547653Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:26:56.3547990Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-26T20:26:56.3548131Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-26T20:26:56.3548134Z 
2025-08-26T20:26:56.3548238Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3548598Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3548676Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3548881Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3548957Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3549232Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3549304Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3549573Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3549640Z     self_outputs = self.self(
2025-08-26T20:26:56.3549899Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 618, in forward
2025-08-26T20:26:56.3550085Z     attn_output = attn_output.transpose(0, 1).reshape(seq_len, batch_size, embed_dim).contiguous()
2025-08-26T20:26:56.3550088Z 
2025-08-26T20:26:56.3550165Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3550247Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3550321Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3550396Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3550476Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3550548Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3550653Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3550984Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3551051Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3551266Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3551373Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3551645Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3551720Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3551993Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3552063Z     self_outputs = self.self(
2025-08-26T20:26:56.3552328Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward
2025-08-26T20:26:56.3552422Z     query_vectors = self.query(hidden_states)
2025-08-26T20:26:56.3552425Z 
2025-08-26T20:26:56.3552502Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3552585Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3552684Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3553022Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3553100Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3553310Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3553395Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3553660Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3553741Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3554003Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3554071Z     self_outputs = self.self(
2025-08-26T20:26:56.3554340Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T20:26:56.3554482Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T20:26:56.3554806Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-26T20:26:56.3554983Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-26T20:26:56.3554986Z 
2025-08-26T20:26:56.3555069Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3555142Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3555239Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3555577Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3555645Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3555866Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3555942Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3556208Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3556287Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3556549Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3556624Z     self_outputs = self.self(
2025-08-26T20:26:56.3556886Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T20:26:56.3556985Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T20:26:56.3557313Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-26T20:26:56.3557520Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-26T20:26:56.3557523Z 
2025-08-26T20:26:56.3557606Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3557681Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3557785Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3558112Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3558180Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3558396Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3558472Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3558741Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3558818Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3559078Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3559153Z     self_outputs = self.self(
2025-08-26T20:26:56.3559412Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward
2025-08-26T20:26:56.3559493Z     attn_scores += diagonal_mask
2025-08-26T20:26:56.3559496Z 
2025-08-26T20:26:56.3559594Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3559927Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3559995Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3560203Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3560312Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3560577Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3560654Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3560917Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3560985Z     self_outputs = self.self(
2025-08-26T20:26:56.3561253Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward
2025-08-26T20:26:56.3561329Z     attn_probs = nn.functional.softmax(
2025-08-26T20:26:56.3561332Z 
2025-08-26T20:26:56.3561418Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3561492Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3561603Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3561936Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3562004Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3562218Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3562293Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3562563Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3562633Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3562895Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3562998Z     self_outputs = self.self(
2025-08-26T20:26:56.3563263Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:26:56.3563381Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:26:56.3563712Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 863, in _sliding_chunks_matmul_attn_probs_value
2025-08-26T20:26:56.3563881Z     padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1)
2025-08-26T20:26:56.3564064Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-26T20:26:56.3564158Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-26T20:26:56.3564161Z 
2025-08-26T20:26:56.3564267Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3564599Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3564681Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3564889Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3564975Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3565242Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3565312Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3565585Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3565651Z     self_outputs = self.self(
2025-08-26T20:26:56.3565972Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:26:56.3566088Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:26:56.3566468Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 876, in _sliding_chunks_matmul_attn_probs_value
2025-08-26T20:26:56.3566607Z     chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs)
2025-08-26T20:26:56.3566903Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize
2025-08-26T20:26:56.3566999Z     chunked_hidden_states = nn.functional.pad(
2025-08-26T20:26:56.3567178Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-26T20:26:56.3567278Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-26T20:26:56.3567281Z 
2025-08-26T20:26:56.3567378Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3567705Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3567785Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3567992Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3568074Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3568336Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3568407Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3568676Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3568743Z     self_outputs = self.self(
2025-08-26T20:26:56.3569012Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:26:56.3569173Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:26:56.3569516Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-26T20:26:56.3569659Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-26T20:26:56.3569662Z 
2025-08-26T20:26:56.3569761Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3570102Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3570170Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3570389Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3570465Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3570742Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3570813Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3571076Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3571152Z     self_outputs = self.self(
2025-08-26T20:26:56.3571416Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:26:56.3571531Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:26:56.3571863Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-26T20:26:56.3572010Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-26T20:26:56.3572016Z 
2025-08-26T20:26:56.3572117Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3572475Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3572554Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3572760Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3572846Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3573108Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3573180Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3573450Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3573517Z     self_outputs = self.self(
2025-08-26T20:26:56.3573791Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 618, in forward
2025-08-26T20:26:56.3573963Z     attn_output = attn_output.transpose(0, 1).reshape(seq_len, batch_size, embed_dim).contiguous()
2025-08-26T20:26:56.3573966Z 
2025-08-26T20:26:56.3574054Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3574128Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3574202Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3574284Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3574357Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3574439Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3574538Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3574864Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3574978Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3575187Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3575271Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3575531Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3575603Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3575872Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3575940Z     self_outputs = self.self(
2025-08-26T20:26:56.3576210Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward
2025-08-26T20:26:56.3576291Z     query_vectors = self.query(hidden_states)
2025-08-26T20:26:56.3576295Z 
2025-08-26T20:26:56.3576378Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3576450Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3576551Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3576892Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3576959Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3577175Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3577250Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3577511Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3577592Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3577855Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3577932Z     self_outputs = self.self(
2025-08-26T20:26:56.3578220Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T20:26:56.3578319Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T20:26:56.3578645Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-26T20:26:56.3578819Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-26T20:26:56.3578822Z 
2025-08-26T20:26:56.3578904Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3578976Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3579081Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3579410Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3579485Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3579700Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3579774Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3580041Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3580112Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3580381Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3580448Z     self_outputs = self.self(
2025-08-26T20:26:56.3580708Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T20:26:56.3580846Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T20:26:56.3581165Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-26T20:26:56.3581346Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-26T20:26:56.3581349Z 
2025-08-26T20:26:56.3581423Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3581497Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3581605Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3581933Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3582009Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3582216Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3582299Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3582565Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3582638Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3582905Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3582973Z     self_outputs = self.self(
2025-08-26T20:26:56.3583239Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward
2025-08-26T20:26:56.3583309Z     attn_scores += diagonal_mask
2025-08-26T20:26:56.3583312Z 
2025-08-26T20:26:56.3583410Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3583744Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3583814Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3584055Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3584131Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3584398Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3584469Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3584731Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3584806Z     self_outputs = self.self(
2025-08-26T20:26:56.3585066Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward
2025-08-26T20:26:56.3585151Z     attn_probs = nn.functional.softmax(
2025-08-26T20:26:56.3585156Z 
2025-08-26T20:26:56.3585228Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3585304Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3585409Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3585736Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3585811Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3586017Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3586099Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3586359Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3586427Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3586696Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3586795Z     self_outputs = self.self(
2025-08-26T20:26:56.3587062Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:26:56.3587173Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:26:56.3587499Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 863, in _sliding_chunks_matmul_attn_probs_value
2025-08-26T20:26:56.3587668Z     padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1)
2025-08-26T20:26:56.3587849Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-26T20:26:56.3587949Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-26T20:26:56.3587952Z 
2025-08-26T20:26:56.3588054Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3588390Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3588459Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3588664Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3588748Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3589007Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3589091Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3589350Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3589420Z     self_outputs = self.self(
2025-08-26T20:26:56.3589715Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:26:56.3589827Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:26:56.3590167Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 876, in _sliding_chunks_matmul_attn_probs_value
2025-08-26T20:26:56.3590296Z     chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs)
2025-08-26T20:26:56.3590605Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize
2025-08-26T20:26:56.3590690Z     chunked_hidden_states = nn.functional.pad(
2025-08-26T20:26:56.3590868Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-26T20:26:56.3590969Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-26T20:26:56.3590975Z 
2025-08-26T20:26:56.3591071Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3591411Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3591479Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3591695Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3591772Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3592036Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3592116Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3592381Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3592456Z     self_outputs = self.self(
2025-08-26T20:26:56.3592750Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:26:56.3592858Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:26:56.3593198Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-26T20:26:56.3593338Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-26T20:26:56.3593341Z 
2025-08-26T20:26:56.3593449Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3593781Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3593859Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3594066Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3594148Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3594422Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3594495Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3594769Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3594837Z     self_outputs = self.self(
2025-08-26T20:26:56.3595107Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:26:56.3595216Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:26:56.3595548Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-26T20:26:56.3595726Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-26T20:26:56.3595729Z 
2025-08-26T20:26:56.3595828Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3596171Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3596241Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3596447Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3596532Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3596794Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3596876Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3597138Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3597217Z     self_outputs = self.self(
2025-08-26T20:26:56.3597482Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 618, in forward
2025-08-26T20:26:56.3597659Z     attn_output = attn_output.transpose(0, 1).reshape(seq_len, batch_size, embed_dim).contiguous()
2025-08-26T20:26:56.3597662Z 
2025-08-26T20:26:56.3597745Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3597820Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3597903Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3597975Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3598049Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3598131Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3598228Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3598564Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3598666Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3598877Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3598959Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3599229Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3599310Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3599576Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3599647Z     self_outputs = self.self(
2025-08-26T20:26:56.3599915Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward
2025-08-26T20:26:56.3600002Z     query_vectors = self.query(hidden_states)
2025-08-26T20:26:56.3600007Z 
2025-08-26T20:26:56.3600091Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3600164Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3600272Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3600609Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3600677Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3600898Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3600974Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3601258Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3601333Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3601656Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3601722Z     self_outputs = self.self(
2025-08-26T20:26:56.3601988Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T20:26:56.3602094Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T20:26:56.3602422Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-26T20:26:56.3602605Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-26T20:26:56.3602609Z 
2025-08-26T20:26:56.3602684Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3602758Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3602867Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3603207Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3603284Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3603493Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3603577Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3603842Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3603915Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3604187Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3604256Z     self_outputs = self.self(
2025-08-26T20:26:56.3604554Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T20:26:56.3604652Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T20:26:56.3604970Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-26T20:26:56.3605153Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-26T20:26:56.3605156Z 
2025-08-26T20:26:56.3605230Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3605311Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3605410Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3605745Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3605817Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3606025Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3606109Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3606369Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3606452Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3606712Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3606779Z     self_outputs = self.self(
2025-08-26T20:26:56.3607084Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward
2025-08-26T20:26:56.3607495Z     attn_scores += diagonal_mask
2025-08-26T20:26:56.3607618Z 
2025-08-26T20:26:56.3607716Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3608235Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3608708Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3609047Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3609397Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3609789Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3610189Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3610588Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3610987Z     self_outputs = self.self(
2025-08-26T20:26:56.3611372Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward
2025-08-26T20:26:56.3611773Z     attn_probs = nn.functional.softmax(
2025-08-26T20:26:56.3611912Z 
2025-08-26T20:26:56.3611991Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3612203Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3612435Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3612929Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3613435Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3613773Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3614123Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3614520Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3614950Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3615340Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3615725Z     self_outputs = self.self(
2025-08-26T20:26:56.3616099Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:26:56.3616528Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:26:56.3617026Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 863, in _sliding_chunks_matmul_attn_probs_value
2025-08-26T20:26:56.3617570Z     padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1)
2025-08-26T20:26:56.3617979Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-26T20:26:56.3618320Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-26T20:26:56.3618469Z 
2025-08-26T20:26:56.3618579Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3619065Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3619520Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3619854Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3620201Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3620594Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3620989Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3621378Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3621767Z     self_outputs = self.self(
2025-08-26T20:26:56.3622174Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:26:56.3622608Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:26:56.3623102Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 876, in _sliding_chunks_matmul_attn_probs_value
2025-08-26T20:26:56.3623622Z     chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs)
2025-08-26T20:26:56.3624107Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize
2025-08-26T20:26:56.3624561Z     chunked_hidden_states = nn.functional.pad(
2025-08-26T20:26:56.3624885Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-26T20:26:56.3625216Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-26T20:26:56.3625373Z 
2025-08-26T20:26:56.3625474Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3625965Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3626430Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3626761Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3627101Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3627502Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3627904Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3628300Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3628723Z     self_outputs = self.self(
2025-08-26T20:26:56.3629096Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:26:56.3629530Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:26:56.3630031Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-26T20:26:56.3630568Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-26T20:26:56.3630761Z 
2025-08-26T20:26:56.3630871Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3631349Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3631814Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3632149Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3632497Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3632888Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3633277Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3633672Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3634064Z     self_outputs = self.self(
2025-08-26T20:26:56.3634439Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:26:56.3634875Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:26:56.3635403Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-26T20:26:56.3635937Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-26T20:26:56.3636136Z 
2025-08-26T20:26:56.3636236Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3636721Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3637181Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3637505Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3637851Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3638248Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3638648Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3639043Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3639424Z     self_outputs = self.self(
2025-08-26T20:26:56.3639803Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 618, in forward
2025-08-26T20:26:56.3640300Z     attn_output = attn_output.transpose(0, 1).reshape(seq_len, batch_size, embed_dim).contiguous()
2025-08-26T20:26:56.3640522Z 
2025-08-26T20:26:56.3640606Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3640806Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3641010Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3641210Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3641407Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3641596Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3641855Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3642344Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3642794Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3643122Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3643461Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3643855Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3644248Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3644635Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3645023Z     self_outputs = self.self(
2025-08-26T20:26:56.3645395Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward
2025-08-26T20:26:56.3645795Z     query_vectors = self.query(hidden_states)
2025-08-26T20:26:56.3645932Z 
2025-08-26T20:26:56.3646008Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3646210Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3646424Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3646900Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3647356Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3647686Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3648030Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3648447Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3648842Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3649230Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3649618Z     self_outputs = self.self(
2025-08-26T20:26:56.3649993Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T20:26:56.3650402Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T20:26:56.3650873Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-26T20:26:56.3651423Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-26T20:26:56.3651655Z 
2025-08-26T20:26:56.3651742Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3651948Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3652167Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3652651Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3653109Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3653438Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3653776Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3654171Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3654566Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3654957Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3655387Z     self_outputs = self.self(
2025-08-26T20:26:56.3655764Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T20:26:56.3656191Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T20:26:56.3656671Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-26T20:26:56.3657226Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-26T20:26:56.3657456Z 
2025-08-26T20:26:56.3657544Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3657746Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3657982Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3658471Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3658941Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3659283Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3659629Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3660036Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3660441Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3660839Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3661239Z     self_outputs = self.self(
2025-08-26T20:26:56.3661617Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward
2025-08-26T20:26:56.3662019Z     attn_scores += diagonal_mask
2025-08-26T20:26:56.3662140Z 
2025-08-26T20:26:56.3662281Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3662767Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3663219Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3663546Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3663888Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3664281Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3664670Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3665058Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3665450Z     self_outputs = self.self(
2025-08-26T20:26:56.3665881Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward
2025-08-26T20:26:56.3666285Z     attn_probs = nn.functional.softmax(
2025-08-26T20:26:56.3666412Z 
2025-08-26T20:26:56.3666500Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3666701Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3666932Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3667414Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3667871Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3668192Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3668539Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3668997Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3669391Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3669777Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3670179Z     self_outputs = self.self(
2025-08-26T20:26:56.3670557Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:26:56.3670978Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:26:56.3671479Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 863, in _sliding_chunks_matmul_attn_probs_value
2025-08-26T20:26:56.3672032Z     padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1)
2025-08-26T20:26:56.3672440Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-26T20:26:56.3672775Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-26T20:26:56.3672920Z 
2025-08-26T20:26:56.3673017Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3673499Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3673955Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3674284Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3674630Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3675013Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3675409Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3675846Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3676239Z     self_outputs = self.self(
2025-08-26T20:26:56.3676608Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:26:56.3677040Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:26:56.3677529Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 876, in _sliding_chunks_matmul_attn_probs_value
2025-08-26T20:26:56.3678040Z     chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs)
2025-08-26T20:26:56.3678519Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize
2025-08-26T20:26:56.3678967Z     chunked_hidden_states = nn.functional.pad(
2025-08-26T20:26:56.3679281Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-26T20:26:56.3679613Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-26T20:26:56.3679758Z 
2025-08-26T20:26:56.3679868Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3680352Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3680803Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3681137Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3681480Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3681875Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3682304Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3682689Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3683082Z     self_outputs = self.self(
2025-08-26T20:26:56.3683463Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:26:56.3683897Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:26:56.3684392Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-26T20:26:56.3684919Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-26T20:26:56.3685121Z 
2025-08-26T20:26:56.3685223Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3685717Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3686177Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3686508Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3686849Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3687253Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3687652Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3688050Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3688442Z     self_outputs = self.self(
2025-08-26T20:26:56.3688810Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:26:56.3689277Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:26:56.3689776Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-26T20:26:56.3690302Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-26T20:26:56.3690494Z 
2025-08-26T20:26:56.3690598Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:56.3691075Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:26:56.3691533Z     layer_outputs = layer_module(
2025-08-26T20:26:56.3691859Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:26:56.3692204Z     return super().__call__(*args, **kwargs)
2025-08-26T20:26:56.3692605Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:26:56.3692996Z     self_attn_outputs = self.attention(
2025-08-26T20:26:56.3693387Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:26:56.3693772Z     self_outputs = self.self(
2025-08-26T20:26:56.3694151Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 618, in forward
2025-08-26T20:26:56.3694643Z     attn_output = attn_output.transpose(0, 1).reshape(seq_len, batch_size, embed_dim).contiguous()
2025-08-26T20:26:56.3694871Z 
2025-08-26T20:26:56.3694949Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3695157Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3695360Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3695588Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3695778Z cudagraph partition due to non gpu ops
2025-08-26T20:26:56.3695981Z cudagraph partition due to non gpu ops
2025-08-26T20:27:10.7515213Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:27:10.7515821Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1716, in torch_dynamo_resume_in_forward_at_1703
2025-08-26T20:27:10.7516324Z     prediction_scores = self.lm_head(sequence_output)
2025-08-26T20:27:10.7516756Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1333, in forward
2025-08-26T20:27:10.7517158Z     x = self.dense(features)
2025-08-26T20:27:10.7517284Z 
2025-08-26T20:27:10.7517368Z cudagraph partition due to non gpu ops
2025-08-26T20:27:10.7517580Z cudagraph partition due to non gpu ops
2025-08-26T20:27:10.7517772Z cudagraph partition due to non gpu ops
2025-08-26T20:27:10.7518005Z cudagraph partition due to non gpu ops
2025-08-26T20:27:12.1806966Z 
2025-08-26T20:27:12.2975357Z running benchmark:   0% 0/50 [00:00<?, ?it/s]
2025-08-26T20:27:12.4103553Z running benchmark:   2% 1/50 [00:00<00:05,  8.53it/s]
2025-08-26T20:27:12.5162187Z running benchmark:   4% 2/50 [00:00<00:05,  8.72it/s]
2025-08-26T20:27:12.6284149Z running benchmark:   6% 3/50 [00:00<00:05,  9.04it/s]
2025-08-26T20:27:12.7351360Z running benchmark:   8% 4/50 [00:00<00:05,  8.99it/s]
2025-08-26T20:27:12.8419713Z running benchmark:  10% 5/50 [00:00<00:04,  9.12it/s]
2025-08-26T20:27:12.9491081Z running benchmark:  12% 6/50 [00:00<00:04,  9.20it/s]
2025-08-26T20:27:13.0548382Z running benchmark:  14% 7/50 [00:00<00:04,  9.24it/s]
2025-08-26T20:27:13.1595841Z running benchmark:  16% 8/50 [00:00<00:04,  9.31it/s]
2025-08-26T20:27:13.2648734Z running benchmark:  18% 9/50 [00:00<00:04,  9.38it/s]
2025-08-26T20:27:13.3695869Z running benchmark:  20% 10/50 [00:01<00:04,  9.42it/s]
2025-08-26T20:27:13.4739457Z running benchmark:  22% 11/50 [00:01<00:04,  9.46it/s]
2025-08-26T20:27:13.5773823Z running benchmark:  24% 12/50 [00:01<00:04,  9.50it/s]
2025-08-26T20:27:13.6877155Z running benchmark:  26% 13/50 [00:01<00:03,  9.55it/s]
2025-08-26T20:27:13.7895632Z running benchmark:  28% 14/50 [00:01<00:03,  9.40it/s]
2025-08-26T20:27:13.8915749Z running benchmark:  30% 15/50 [00:01<00:03,  9.52it/s]
2025-08-26T20:27:13.9933585Z running benchmark:  32% 16/50 [00:01<00:03,  9.60it/s]
2025-08-26T20:27:14.0955351Z running benchmark:  34% 17/50 [00:01<00:03,  9.67it/s]
2025-08-26T20:27:14.1977110Z running benchmark:  36% 18/50 [00:01<00:03,  9.70it/s]
2025-08-26T20:27:14.3004200Z running benchmark:  38% 19/50 [00:02<00:03,  9.73it/s]
2025-08-26T20:27:14.4028334Z running benchmark:  40% 20/50 [00:02<00:03,  9.73it/s]
2025-08-26T20:27:14.5055791Z running benchmark:  42% 21/50 [00:02<00:02,  9.74it/s]
2025-08-26T20:27:14.6075195Z running benchmark:  44% 22/50 [00:02<00:02,  9.74it/s]
2025-08-26T20:27:14.7147909Z running benchmark:  46% 23/50 [00:02<00:02,  9.76it/s]
2025-08-26T20:27:14.8191965Z running benchmark:  48% 24/50 [00:02<00:02,  9.62it/s]
2025-08-26T20:27:14.9216648Z running benchmark:  50% 25/50 [00:02<00:02,  9.61it/s]
2025-08-26T20:27:15.0240867Z running benchmark:  52% 26/50 [00:02<00:02,  9.65it/s]
2025-08-26T20:27:15.1264512Z running benchmark:  54% 27/50 [00:02<00:02,  9.69it/s]
2025-08-26T20:27:15.2290324Z running benchmark:  56% 28/50 [00:02<00:02,  9.71it/s]
2025-08-26T20:27:15.3313210Z running benchmark:  58% 29/50 [00:03<00:02,  9.72it/s]
2025-08-26T20:27:15.4334239Z running benchmark:  60% 30/50 [00:03<00:02,  9.74it/s]
2025-08-26T20:27:15.5355951Z running benchmark:  62% 31/50 [00:03<00:01,  9.76it/s]
2025-08-26T20:27:15.6399287Z running benchmark:  64% 32/50 [00:03<00:01,  9.77it/s]
2025-08-26T20:27:15.7420020Z running benchmark:  66% 33/50 [00:03<00:01,  9.71it/s]
2025-08-26T20:27:15.8492737Z running benchmark:  68% 34/50 [00:03<00:01,  9.74it/s]
2025-08-26T20:27:15.9513879Z running benchmark:  70% 35/50 [00:03<00:01,  9.61it/s]
2025-08-26T20:27:16.0533964Z running benchmark:  72% 36/50 [00:03<00:01,  9.66it/s]
2025-08-26T20:27:16.1556946Z running benchmark:  74% 37/50 [00:03<00:01,  9.70it/s]
2025-08-26T20:27:16.2583065Z running benchmark:  76% 38/50 [00:03<00:01,  9.73it/s]
2025-08-26T20:27:16.3601447Z running benchmark:  78% 39/50 [00:04<00:01,  9.73it/s]
2025-08-26T20:27:16.4619508Z running benchmark:  80% 40/50 [00:04<00:01,  9.76it/s]
2025-08-26T20:27:16.5643168Z running benchmark:  82% 41/50 [00:04<00:00,  9.78it/s]
2025-08-26T20:27:16.6679852Z running benchmark:  84% 42/50 [00:04<00:00,  9.78it/s]
2025-08-26T20:27:16.7718563Z running benchmark:  86% 43/50 [00:04<00:00,  9.74it/s]
2025-08-26T20:27:16.8835947Z running benchmark:  88% 44/50 [00:04<00:00,  9.70it/s]
2025-08-26T20:27:16.9871811Z running benchmark:  90% 45/50 [00:04<00:00,  9.46it/s]
2025-08-26T20:27:17.0895175Z running benchmark:  92% 46/50 [00:04<00:00,  9.52it/s]
2025-08-26T20:27:17.1919043Z running benchmark:  94% 47/50 [00:04<00:00,  9.59it/s]
2025-08-26T20:27:17.2945318Z running benchmark:  96% 48/50 [00:05<00:00,  9.65it/s]
2025-08-26T20:27:17.3973675Z running benchmark:  98% 49/50 [00:05<00:00,  9.68it/s]
2025-08-26T20:27:17.3974179Z running benchmark: 100% 50/50 [00:05<00:00,  9.69it/s]
2025-08-26T20:27:17.3974632Z running benchmark: 100% 50/50 [00:05<00:00,  9.58it/s]
2025-08-26T20:27:17.4921604Z 1.632x
2025-08-26T20:27:17.4922054Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:27:18.9203755Z + cat /var/lib/jenkins/workspace/test/test-reports/inductor_inference_hf_Longformer_inductor_amp_dynamic_cpu_smoketest.csv
2025-08-26T20:27:18.9220121Z 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
2025-08-26T20:27:18.9220786Z cpu,hf_Longformer,1,1.632435,38.763039,37.264682,0.915544,330.114253,360.566374,1737,5,4,1,0,0,4
2025-08-26T20:27:18.9221785Z + python benchmarks/dynamo/check_perf_csv.py -f /var/lib/jenkins/workspace/test/test-reports/inductor_inference_hf_Longformer_inductor_amp_dynamic_cpu_smoketest.csv -t 1.22015225 -s 0.99
2025-08-26T20:27:19.1920927Z hf_Longformer                      1.632435
2025-08-26T20:27:19.2280193Z + IFS=,
2025-08-26T20:27:19.2280423Z + read -r -a model_cfg
2025-08-26T20:27:19.2280652Z + local model_name=hf_Bert_large
2025-08-26T20:27:19.2280875Z + local data_type=amp
2025-08-26T20:27:19.2281081Z + local speedup_target=1.18572179
2025-08-26T20:27:19.2281343Z + local backend=inductor
2025-08-26T20:27:19.2281552Z + [[ default == \c\p\p ]]
2025-08-26T20:27:19.2281770Z + unset TORCHINDUCTOR_CPP_WRAPPER
2025-08-26T20:27:19.2282282Z + local output_name=/var/lib/jenkins/workspace/test/test-reports/inductor_inference_hf_Bert_large_inductor_amp_dynamic_cpu_smoketest.csv
2025-08-26T20:27:19.2282762Z + [[ dynamic == \d\y\n\a\m\i\c ]]
2025-08-26T20:27:19.2283730Z + taskset -c 0-93 python benchmarks/dynamo/torchbench.py --inference --performance --amp -dcpu -n50 --only hf_Bert_large --dynamic-shapes --dynamic-batch-only --freezing --timeout 9000 --inductor --output /var/lib/jenkins/workspace/test/test-reports/inductor_inference_hf_Bert_large_inductor_amp_dynamic_cpu_smoketest.csv
2025-08-26T20:27:21.2650808Z 
2025-08-26T20:27:25.0741106Z loading model: 0it [00:00, ?it/s]
2025-08-26T20:27:25.0741454Z loading model: 0it [00:03, ?it/s]
2025-08-26T20:27:25.0741748Z cpu  eval  hf_Bert_large                      
2025-08-26T20:27:36.5640723Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5641024Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5641225Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5641435Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5641635Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5641836Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5642030Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5642614Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5642810Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5643031Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5643232Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5643420Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5643616Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5643812Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5644008Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5644202Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5644403Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5644602Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5644797Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5644986Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5645183Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5645380Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5645580Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5645776Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5646035Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5646225Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5646423Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5646617Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5646813Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5647002Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5647203Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5647439Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:27:36.5647813Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:27:36.5648129Z     return mod(**inputs)
2025-08-26T20:27:36.5648512Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:27:36.5648894Z     outputs = self.bert(
2025-08-26T20:27:36.5649347Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:27:36.5649737Z     encoder_outputs = self.encoder(
2025-08-26T20:27:36.5650097Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:27:36.5650464Z     layer_outputs = layer_module(
2025-08-26T20:27:36.5650806Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:27:36.5651160Z     return super().__call__(*args, **kwargs)
2025-08-26T20:27:36.5651544Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:27:36.5651920Z     self_attention_outputs = self.attention(
2025-08-26T20:27:36.5652290Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:27:36.5652648Z     return func(*args, **kwargs)
2025-08-26T20:27:36.5653005Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:27:36.5653352Z     self_outputs = self.self(
2025-08-26T20:27:36.5653694Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:27:36.5654045Z     return func(*args, **kwargs)
2025-08-26T20:27:36.5654396Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:27:36.5654808Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:27:36.5654987Z 
2025-08-26T20:27:36.5655065Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5655279Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5655480Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5655726Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5655913Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5656112Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5656305Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5656501Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5656686Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5656880Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5657076Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5657275Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5657464Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5657694Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:27:36.5658043Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:27:36.5658358Z     return mod(**inputs)
2025-08-26T20:27:36.5658700Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:27:36.5659062Z     outputs = self.bert(
2025-08-26T20:27:36.5659414Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:27:36.5659783Z     encoder_outputs = self.encoder(
2025-08-26T20:27:36.5660142Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:27:36.5660491Z     layer_outputs = layer_module(
2025-08-26T20:27:36.5660824Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:27:36.5661171Z     return super().__call__(*args, **kwargs)
2025-08-26T20:27:36.5661545Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:27:36.5661911Z     self_attention_outputs = self.attention(
2025-08-26T20:27:36.5662266Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:27:36.5662669Z     return func(*args, **kwargs)
2025-08-26T20:27:36.5663019Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:27:36.5663383Z     self_outputs = self.self(
2025-08-26T20:27:36.5663734Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:27:36.5664092Z     return func(*args, **kwargs)
2025-08-26T20:27:36.5664446Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:27:36.5664869Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:27:36.5665043Z 
2025-08-26T20:27:36.5665128Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5665321Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5665526Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5665729Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5666015Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5666204Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5666400Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5666606Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5666807Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5667005Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5667218Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5667417Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5667614Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5667837Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:27:36.5668185Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:27:36.5668493Z     return mod(**inputs)
2025-08-26T20:27:36.5668921Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:27:36.5669283Z     outputs = self.bert(
2025-08-26T20:27:36.5669615Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:27:36.5669983Z     encoder_outputs = self.encoder(
2025-08-26T20:27:36.5670340Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:27:36.5670698Z     layer_outputs = layer_module(
2025-08-26T20:27:36.5671019Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:27:36.5671365Z     return super().__call__(*args, **kwargs)
2025-08-26T20:27:36.5671738Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:27:36.5672108Z     self_attention_outputs = self.attention(
2025-08-26T20:27:36.5672481Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:27:36.5672822Z     return func(*args, **kwargs)
2025-08-26T20:27:36.5673170Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:27:36.5673525Z     self_outputs = self.self(
2025-08-26T20:27:36.5673862Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:27:36.5674210Z     return func(*args, **kwargs)
2025-08-26T20:27:36.5674552Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:27:36.5674958Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:27:36.5675136Z 
2025-08-26T20:27:36.5675210Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5675413Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5675604Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5675853Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5676053Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5676250Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5676440Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5676644Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5676839Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5677035Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5677221Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5677416Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5677610Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5677838Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:27:36.5678175Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:27:36.5678484Z     return mod(**inputs)
2025-08-26T20:27:36.5678837Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:27:36.5679193Z     outputs = self.bert(
2025-08-26T20:27:36.5679527Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:27:36.5679883Z     encoder_outputs = self.encoder(
2025-08-26T20:27:36.5680236Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:27:36.5680598Z     layer_outputs = layer_module(
2025-08-26T20:27:36.5680928Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:27:36.5681265Z     return super().__call__(*args, **kwargs)
2025-08-26T20:27:36.5681619Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:27:36.5682024Z     self_attention_outputs = self.attention(
2025-08-26T20:27:36.5682391Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:27:36.5682743Z     return func(*args, **kwargs)
2025-08-26T20:27:36.5683087Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:27:36.5683444Z     self_outputs = self.self(
2025-08-26T20:27:36.5683785Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:27:36.5684137Z     return func(*args, **kwargs)
2025-08-26T20:27:36.5684484Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:27:36.5684885Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:27:36.5685071Z 
2025-08-26T20:27:36.5685147Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5685356Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5685557Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5685750Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5685975Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5686175Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5686373Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5686562Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5686760Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5686958Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5687158Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5687350Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5687550Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5687777Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:27:36.5688126Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:27:36.5688435Z     return mod(**inputs)
2025-08-26T20:27:36.5689566Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:27:36.5689931Z     outputs = self.bert(
2025-08-26T20:27:36.5690267Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:27:36.5690629Z     encoder_outputs = self.encoder(
2025-08-26T20:27:36.5690974Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:27:36.5691334Z     layer_outputs = layer_module(
2025-08-26T20:27:36.5691663Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:27:36.5692009Z     return super().__call__(*args, **kwargs)
2025-08-26T20:27:36.5692368Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:27:36.5692737Z     self_attention_outputs = self.attention(
2025-08-26T20:27:36.5693093Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:27:36.5693440Z     return func(*args, **kwargs)
2025-08-26T20:27:36.5693911Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:27:36.5694260Z     self_outputs = self.self(
2025-08-26T20:27:36.5694589Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:27:36.5694931Z     return func(*args, **kwargs)
2025-08-26T20:27:36.5695275Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:27:36.5695682Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:27:36.5695886Z 
2025-08-26T20:27:36.5695966Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5696170Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5696373Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5696574Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5696763Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5696959Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5697156Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5697349Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5697535Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5697732Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5697932Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5698127Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5698325Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5698543Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:27:36.5698895Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:27:36.5699207Z     return mod(**inputs)
2025-08-26T20:27:36.5699547Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:27:36.5699897Z     outputs = self.bert(
2025-08-26T20:27:36.5700230Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:27:36.5700590Z     encoder_outputs = self.encoder(
2025-08-26T20:27:36.5700942Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:27:36.5701299Z     layer_outputs = layer_module(
2025-08-26T20:27:36.5701620Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:27:36.5701962Z     return super().__call__(*args, **kwargs)
2025-08-26T20:27:36.5702355Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:27:36.5702725Z     self_attention_outputs = self.attention(
2025-08-26T20:27:36.5703079Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:27:36.5703430Z     return func(*args, **kwargs)
2025-08-26T20:27:36.5703781Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:27:36.5704136Z     self_outputs = self.self(
2025-08-26T20:27:36.5704477Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:27:36.5704819Z     return func(*args, **kwargs)
2025-08-26T20:27:36.5705166Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:27:36.5705581Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:27:36.5705751Z 
2025-08-26T20:27:36.5705838Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5706031Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5706232Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5706430Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5706626Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5706814Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5707008Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5707204Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5707399Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5707589Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5707787Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5707982Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5708179Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5708458Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:27:36.5708798Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:27:36.5709105Z     return mod(**inputs)
2025-08-26T20:27:36.5709448Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:27:36.5709805Z     outputs = self.bert(
2025-08-26T20:27:36.5710135Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:27:36.5710503Z     encoder_outputs = self.encoder(
2025-08-26T20:27:36.5710853Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:27:36.5711213Z     layer_outputs = layer_module(
2025-08-26T20:27:36.5711538Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:27:36.5711877Z     return super().__call__(*args, **kwargs)
2025-08-26T20:27:36.5712242Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:27:36.5712608Z     self_attention_outputs = self.attention(
2025-08-26T20:27:36.5712968Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:27:36.5713310Z     return func(*args, **kwargs)
2025-08-26T20:27:36.5713657Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:27:36.5714014Z     self_outputs = self.self(
2025-08-26T20:27:36.5714355Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:27:36.5714704Z     return func(*args, **kwargs)
2025-08-26T20:27:36.5715040Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:27:36.5715477Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:27:36.5715653Z 
2025-08-26T20:27:36.5715734Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5715940Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5716136Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5716338Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5716539Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5716738Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5716932Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5717134Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5717333Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5717530Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5717727Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5717923Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5718127Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5718357Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:27:36.5718704Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:27:36.5719011Z     return mod(**inputs)
2025-08-26T20:27:36.5719360Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:27:36.5719729Z     outputs = self.bert(
2025-08-26T20:27:36.5720075Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:27:36.5720440Z     encoder_outputs = self.encoder(
2025-08-26T20:27:36.5720802Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:27:36.5721166Z     layer_outputs = layer_module(
2025-08-26T20:27:36.5721529Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:27:36.5721870Z     return super().__call__(*args, **kwargs)
2025-08-26T20:27:36.5722222Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:27:36.5722587Z     self_attention_outputs = self.attention(
2025-08-26T20:27:36.5722944Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:27:36.5723288Z     return func(*args, **kwargs)
2025-08-26T20:27:36.5723628Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:27:36.5723984Z     self_outputs = self.self(
2025-08-26T20:27:36.5724323Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:27:36.5724677Z     return func(*args, **kwargs)
2025-08-26T20:27:36.5725023Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:27:36.5725421Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:27:36.5725595Z 
2025-08-26T20:27:36.5725670Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5725873Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5726076Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5726267Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5726464Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5726661Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5726857Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5727043Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5727241Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5727431Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5727626Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5727823Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5728039Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5728265Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:27:36.5728605Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:27:36.5728913Z     return mod(**inputs)
2025-08-26T20:27:36.5729248Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:27:36.5729603Z     outputs = self.bert(
2025-08-26T20:27:36.5729940Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:27:36.5730304Z     encoder_outputs = self.encoder(
2025-08-26T20:27:36.5730649Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:27:36.5731009Z     layer_outputs = layer_module(
2025-08-26T20:27:36.5731339Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:27:36.5731681Z     return super().__call__(*args, **kwargs)
2025-08-26T20:27:36.5732042Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:27:36.5732400Z     self_attention_outputs = self.attention(
2025-08-26T20:27:36.5732758Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:27:36.5733108Z     return func(*args, **kwargs)
2025-08-26T20:27:36.5733451Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:27:36.5733808Z     self_outputs = self.self(
2025-08-26T20:27:36.5734139Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:27:36.5734534Z     return func(*args, **kwargs)
2025-08-26T20:27:36.5734883Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:27:36.5735288Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:27:36.5735457Z 
2025-08-26T20:27:36.5735534Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5735735Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5735933Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5736128Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5736316Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5736513Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5736703Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5736897Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5737092Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5737284Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5737480Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5737677Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5737870Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5738089Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:27:36.5738431Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:27:36.5738741Z     return mod(**inputs)
2025-08-26T20:27:36.5739086Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:27:36.5739433Z     outputs = self.bert(
2025-08-26T20:27:36.5739775Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:27:36.5740135Z     encoder_outputs = self.encoder(
2025-08-26T20:27:36.5740484Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:27:36.5740842Z     layer_outputs = layer_module(
2025-08-26T20:27:36.5741190Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:27:36.5741537Z     return super().__call__(*args, **kwargs)
2025-08-26T20:27:36.5741903Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:27:36.5742273Z     self_attention_outputs = self.attention(
2025-08-26T20:27:36.5742628Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:27:36.5742978Z     return func(*args, **kwargs)
2025-08-26T20:27:36.5743322Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:27:36.5743678Z     self_outputs = self.self(
2025-08-26T20:27:36.5744019Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:27:36.5744361Z     return func(*args, **kwargs)
2025-08-26T20:27:36.5744703Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:27:36.5745105Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:27:36.5745275Z 
2025-08-26T20:27:36.5745359Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5745553Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5745752Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5745951Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5746147Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5746340Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5746524Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5746714Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5746945Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5747137Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5747329Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5747524Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5747720Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5747941Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:27:36.5748275Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:27:36.5748580Z     return mod(**inputs)
2025-08-26T20:27:36.5748921Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:27:36.5749281Z     outputs = self.bert(
2025-08-26T20:27:36.5749610Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:27:36.5749975Z     encoder_outputs = self.encoder(
2025-08-26T20:27:36.5750339Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:27:36.5750698Z     layer_outputs = layer_module(
2025-08-26T20:27:36.5751026Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:27:36.5751364Z     return super().__call__(*args, **kwargs)
2025-08-26T20:27:36.5751726Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:27:36.5752092Z     self_attention_outputs = self.attention(
2025-08-26T20:27:36.5752457Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:27:36.5752802Z     return func(*args, **kwargs)
2025-08-26T20:27:36.5753156Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:27:36.5753519Z     self_outputs = self.self(
2025-08-26T20:27:36.5753891Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:27:36.5754246Z     return func(*args, **kwargs)
2025-08-26T20:27:36.5754581Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:27:36.5754990Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:27:36.5755166Z 
2025-08-26T20:27:36.5755243Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5755444Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5755637Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5755836Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5756034Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5756230Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5756424Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5756616Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5756811Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5757010Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5757206Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5757395Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5757592Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5757819Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:27:36.5758163Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:27:36.5758460Z     return mod(**inputs)
2025-08-26T20:27:36.5758802Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:27:36.5759160Z     outputs = self.bert(
2025-08-26T20:27:36.5759494Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:27:36.5759885Z     encoder_outputs = self.encoder(
2025-08-26T20:27:36.5760242Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:27:36.5760603Z     layer_outputs = layer_module(
2025-08-26T20:27:36.5760936Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:27:36.5761280Z     return super().__call__(*args, **kwargs)
2025-08-26T20:27:36.5761639Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:27:36.5762009Z     self_attention_outputs = self.attention(
2025-08-26T20:27:36.5762370Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:27:36.5762717Z     return func(*args, **kwargs)
2025-08-26T20:27:36.5763058Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:27:36.5763419Z     self_outputs = self.self(
2025-08-26T20:27:36.5763829Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:27:36.5764219Z     return func(*args, **kwargs)
2025-08-26T20:27:36.5764566Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:27:36.5764975Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:27:36.5765159Z 
2025-08-26T20:27:36.5765240Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5765449Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5765656Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5765896Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5766096Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5766298Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5766508Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5766769Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5766965Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5767166Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5767368Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5767566Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5767763Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5767993Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:27:36.5768346Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:27:36.5768664Z     return mod(**inputs)
2025-08-26T20:27:36.5769008Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:27:36.5769377Z     outputs = self.bert(
2025-08-26T20:27:36.5769720Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:27:36.5770101Z     encoder_outputs = self.encoder(
2025-08-26T20:27:36.5770454Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:27:36.5770823Z     layer_outputs = layer_module(
2025-08-26T20:27:36.5771160Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:27:36.5771511Z     return super().__call__(*args, **kwargs)
2025-08-26T20:27:36.5771876Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:27:36.5772244Z     self_attention_outputs = self.attention(
2025-08-26T20:27:36.5772613Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:27:36.5772972Z     return func(*args, **kwargs)
2025-08-26T20:27:36.5773378Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:27:36.5773743Z     self_outputs = self.self(
2025-08-26T20:27:36.5774084Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:27:36.5774441Z     return func(*args, **kwargs)
2025-08-26T20:27:36.5774797Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:27:36.5775214Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:27:36.5775387Z 
2025-08-26T20:27:36.5775467Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5775675Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5775878Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5776081Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5776277Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5776475Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5776677Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5776879Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5777079Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5777271Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5777470Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5777671Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5777873Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5778097Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:27:36.5778448Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:27:36.5778768Z     return mod(**inputs)
2025-08-26T20:27:36.5779107Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:27:36.5779453Z     outputs = self.bert(
2025-08-26T20:27:36.5779830Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:27:36.5780198Z     encoder_outputs = self.encoder(
2025-08-26T20:27:36.5780550Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:27:36.5780910Z     layer_outputs = layer_module(
2025-08-26T20:27:36.5781232Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:27:36.5781575Z     return super().__call__(*args, **kwargs)
2025-08-26T20:27:36.5781933Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:27:36.5782301Z     self_attention_outputs = self.attention(
2025-08-26T20:27:36.5782651Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:27:36.5783006Z     return func(*args, **kwargs)
2025-08-26T20:27:36.5783357Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:27:36.5783719Z     self_outputs = self.self(
2025-08-26T20:27:36.5784058Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:27:36.5784402Z     return func(*args, **kwargs)
2025-08-26T20:27:36.5784749Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:27:36.5785157Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:27:36.5785326Z 
2025-08-26T20:27:36.5785413Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5785606Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5785804Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5785999Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5786458Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5786659Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5786851Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5787048Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5787243Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5787440Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5787626Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5787824Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5788022Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5788251Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:27:36.5788587Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:27:36.5788894Z     return mod(**inputs)
2025-08-26T20:27:36.5789235Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:27:36.5789595Z     outputs = self.bert(
2025-08-26T20:27:36.5789928Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:27:36.5790291Z     encoder_outputs = self.encoder(
2025-08-26T20:27:36.5790648Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:27:36.5791007Z     layer_outputs = layer_module(
2025-08-26T20:27:36.5791338Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:27:36.5791672Z     return super().__call__(*args, **kwargs)
2025-08-26T20:27:36.5792034Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:27:36.5792407Z     self_attention_outputs = self.attention(
2025-08-26T20:27:36.5792763Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:27:36.5793141Z     return func(*args, **kwargs)
2025-08-26T20:27:36.5793489Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:27:36.5793841Z     self_outputs = self.self(
2025-08-26T20:27:36.5794180Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:27:36.5794538Z     return func(*args, **kwargs)
2025-08-26T20:27:36.5794881Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:27:36.5795292Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:27:36.5795464Z 
2025-08-26T20:27:36.5795540Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5795742Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5795940Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5796133Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5796327Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5796522Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5796717Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5796909Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5797102Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5797297Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5797490Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5797678Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5797875Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5798099Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:27:36.5798438Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:27:36.5798737Z     return mod(**inputs)
2025-08-26T20:27:36.5799077Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:27:36.5799468Z     outputs = self.bert(
2025-08-26T20:27:36.5799802Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:27:36.5800159Z     encoder_outputs = self.encoder(
2025-08-26T20:27:36.5800508Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:27:36.5800867Z     layer_outputs = layer_module(
2025-08-26T20:27:36.5801196Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:27:36.5801538Z     return super().__call__(*args, **kwargs)
2025-08-26T20:27:36.5801885Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:27:36.5802253Z     self_attention_outputs = self.attention(
2025-08-26T20:27:36.5802622Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:27:36.5802973Z     return func(*args, **kwargs)
2025-08-26T20:27:36.5803319Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:27:36.5803668Z     self_outputs = self.self(
2025-08-26T20:27:36.5804010Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:27:36.5804358Z     return func(*args, **kwargs)
2025-08-26T20:27:36.5804701Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:27:36.5805106Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:27:36.5805286Z 
2025-08-26T20:27:36.5805364Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5805574Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5805774Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5806003Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5806196Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5806391Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5806588Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5806782Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5806971Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5807165Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5807362Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5807558Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5807748Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5807968Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:27:36.5808311Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:27:36.5808617Z     return mod(**inputs)
2025-08-26T20:27:36.5808950Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:27:36.5809307Z     outputs = self.bert(
2025-08-26T20:27:36.5809642Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:27:36.5810002Z     encoder_outputs = self.encoder(
2025-08-26T20:27:36.5810349Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:27:36.5810704Z     layer_outputs = layer_module(
2025-08-26T20:27:36.5811031Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:27:36.5811373Z     return super().__call__(*args, **kwargs)
2025-08-26T20:27:36.5811734Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:27:36.5812129Z     self_attention_outputs = self.attention(
2025-08-26T20:27:36.5812491Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:27:36.5812840Z     return func(*args, **kwargs)
2025-08-26T20:27:36.5832243Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:27:36.5832761Z     self_outputs = self.self(
2025-08-26T20:27:36.5833155Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:27:36.5833529Z     return func(*args, **kwargs)
2025-08-26T20:27:36.5833908Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:27:36.5834348Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:27:36.5834534Z 
2025-08-26T20:27:36.5834643Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5834860Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5835065Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5835275Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5835481Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5835685Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5835884Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5836088Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5836296Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5836497Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5836693Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5836901Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5837105Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5837345Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:27:36.5837700Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:27:36.5838030Z     return mod(**inputs)
2025-08-26T20:27:36.5838494Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:27:36.5838876Z     outputs = self.bert(
2025-08-26T20:27:36.5839223Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:27:36.5839607Z     encoder_outputs = self.encoder(
2025-08-26T20:27:36.5839981Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:27:36.5840357Z     layer_outputs = layer_module(
2025-08-26T20:27:36.5840705Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:27:36.5841057Z     return super().__call__(*args, **kwargs)
2025-08-26T20:27:36.5841437Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:27:36.5841828Z     self_attention_outputs = self.attention(
2025-08-26T20:27:36.5842205Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:27:36.5842572Z     return func(*args, **kwargs)
2025-08-26T20:27:36.5842924Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:27:36.5843294Z     self_outputs = self.self(
2025-08-26T20:27:36.5843653Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:27:36.5844017Z     return func(*args, **kwargs)
2025-08-26T20:27:36.5844371Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:27:36.5844801Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:27:36.5845031Z 
2025-08-26T20:27:36.5845111Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5845322Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5845530Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5845726Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5845926Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5846125Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5846328Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5846522Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5846722Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5846926Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5847129Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5847323Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5847527Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5847761Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:27:36.5848126Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:27:36.5848440Z     return mod(**inputs)
2025-08-26T20:27:36.5848798Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:27:36.5849165Z     outputs = self.bert(
2025-08-26T20:27:36.5849513Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:27:36.5849887Z     encoder_outputs = self.encoder(
2025-08-26T20:27:36.5850243Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:27:36.5850616Z     layer_outputs = layer_module(
2025-08-26T20:27:36.5850959Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:27:36.5851315Z     return super().__call__(*args, **kwargs)
2025-08-26T20:27:36.5851722Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:27:36.5852101Z     self_attention_outputs = self.attention(
2025-08-26T20:27:36.5852473Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:27:36.5852832Z     return func(*args, **kwargs)
2025-08-26T20:27:36.5853188Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:27:36.5853543Z     self_outputs = self.self(
2025-08-26T20:27:36.5853890Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:27:36.5854249Z     return func(*args, **kwargs)
2025-08-26T20:27:36.5854598Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:27:36.5855016Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:27:36.5855198Z 
2025-08-26T20:27:36.5855281Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5855483Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5855690Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5855895Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5856093Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5856282Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5856481Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5856674Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5856866Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5857051Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5857248Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5857440Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5857635Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5857886Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:27:36.5858229Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:27:36.5858542Z     return mod(**inputs)
2025-08-26T20:27:36.5858886Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:27:36.5859236Z     outputs = self.bert(
2025-08-26T20:27:36.5859561Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:27:36.5859919Z     encoder_outputs = self.encoder(
2025-08-26T20:27:36.5860271Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:27:36.5860628Z     layer_outputs = layer_module(
2025-08-26T20:27:36.5860950Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:27:36.5861298Z     return super().__call__(*args, **kwargs)
2025-08-26T20:27:36.5861657Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:27:36.5862026Z     self_attention_outputs = self.attention(
2025-08-26T20:27:36.5862383Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:27:36.5862727Z     return func(*args, **kwargs)
2025-08-26T20:27:36.5863072Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:27:36.5863425Z     self_outputs = self.self(
2025-08-26T20:27:36.5863764Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:27:36.5864110Z     return func(*args, **kwargs)
2025-08-26T20:27:36.5864447Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:27:36.5864886Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:27:36.5865063Z 
2025-08-26T20:27:36.5865138Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5865342Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5865538Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5865735Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5865981Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5866175Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5866363Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5866564Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5866761Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5866962Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5867153Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5867355Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5867556Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5867784Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:27:36.5868126Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:27:36.5868423Z     return mod(**inputs)
2025-08-26T20:27:36.5868767Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:27:36.5869123Z     outputs = self.bert(
2025-08-26T20:27:36.5869460Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:27:36.5869814Z     encoder_outputs = self.encoder(
2025-08-26T20:27:36.5870167Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:27:36.5870523Z     layer_outputs = layer_module(
2025-08-26T20:27:36.5870851Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:27:36.5871264Z     return super().__call__(*args, **kwargs)
2025-08-26T20:27:36.5871618Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:27:36.5871987Z     self_attention_outputs = self.attention(
2025-08-26T20:27:36.5872349Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:27:36.5872702Z     return func(*args, **kwargs)
2025-08-26T20:27:36.5873036Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:27:36.5873395Z     self_outputs = self.self(
2025-08-26T20:27:36.5873731Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:27:36.5874087Z     return func(*args, **kwargs)
2025-08-26T20:27:36.5874435Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:27:36.5874836Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:27:36.5875014Z 
2025-08-26T20:27:36.5875090Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5875290Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5875487Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5875675Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5875873Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5876068Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5876263Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5876451Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5876648Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5876845Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5877046Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5877236Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5877475Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5877704Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:27:36.5878047Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:27:36.5878351Z     return mod(**inputs)
2025-08-26T20:27:36.5878681Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:27:36.5879037Z     outputs = self.bert(
2025-08-26T20:27:36.5879371Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:27:36.5879730Z     encoder_outputs = self.encoder(
2025-08-26T20:27:36.5880072Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:27:36.5880430Z     layer_outputs = layer_module(
2025-08-26T20:27:36.5880763Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:27:36.5881107Z     return super().__call__(*args, **kwargs)
2025-08-26T20:27:36.5881464Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:27:36.5881820Z     self_attention_outputs = self.attention(
2025-08-26T20:27:36.5882181Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:27:36.5882530Z     return func(*args, **kwargs)
2025-08-26T20:27:36.5882876Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:27:36.5883223Z     self_outputs = self.self(
2025-08-26T20:27:36.5883559Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:27:36.5883951Z     return func(*args, **kwargs)
2025-08-26T20:27:36.5884301Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:27:36.5884712Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:27:36.5884883Z 
2025-08-26T20:27:36.5884957Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5885159Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5885360Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5885556Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5885743Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5885935Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5886129Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5886321Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5886511Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5886709Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5886909Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5887108Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5887298Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5887524Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:27:36.5887862Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:27:36.5888173Z     return mod(**inputs)
2025-08-26T20:27:36.5888512Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:27:36.5888865Z     outputs = self.bert(
2025-08-26T20:27:36.5889200Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:27:36.5889568Z     encoder_outputs = self.encoder(
2025-08-26T20:27:36.5889923Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:27:36.5890280Z     layer_outputs = layer_module(
2025-08-26T20:27:36.5890639Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:27:36.5890986Z     return super().__call__(*args, **kwargs)
2025-08-26T20:27:36.5891349Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:27:36.5891722Z     self_attention_outputs = self.attention(
2025-08-26T20:27:36.5892074Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:27:36.5892428Z     return func(*args, **kwargs)
2025-08-26T20:27:36.5892775Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:27:36.5893133Z     self_outputs = self.self(
2025-08-26T20:27:36.5893474Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:27:36.5893823Z     return func(*args, **kwargs)
2025-08-26T20:27:36.5894170Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:27:36.5894581Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:27:36.5894751Z 
2025-08-26T20:27:36.5894838Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5895032Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5895234Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5895434Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5895630Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5895831Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5896021Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5896217Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5896412Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5896639Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5896830Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5897022Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5897217Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5897440Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:27:36.5897771Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:27:36.5898076Z     return mod(**inputs)
2025-08-26T20:27:36.5898415Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:27:36.5898768Z     outputs = self.bert(
2025-08-26T20:27:36.5899094Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:27:36.5899458Z     encoder_outputs = self.encoder(
2025-08-26T20:27:36.5899814Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:27:36.5900174Z     layer_outputs = layer_module(
2025-08-26T20:27:36.5900500Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:27:36.5900833Z     return super().__call__(*args, **kwargs)
2025-08-26T20:27:36.5901192Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:27:36.5901556Z     self_attention_outputs = self.attention(
2025-08-26T20:27:36.5901915Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:27:36.5902262Z     return func(*args, **kwargs)
2025-08-26T20:27:36.5902593Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:27:36.5902948Z     self_outputs = self.self(
2025-08-26T20:27:36.5903467Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:27:36.5903819Z     return func(*args, **kwargs)
2025-08-26T20:27:36.5904156Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:27:36.5904564Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:27:36.5904737Z 
2025-08-26T20:27:36.5904816Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5905021Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5905221Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5905413Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5905615Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5905814Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5906012Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5906205Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5906406Z cudagraph partition due to non gpu ops
2025-08-26T20:27:36.5906607Z cudagraph partition due to non gpu ops
2025-08-26T20:27:46.8356092Z 
2025-08-26T20:27:46.9557434Z running benchmark:   0% 0/50 [00:00<?, ?it/s]
2025-08-26T20:27:47.0819195Z running benchmark:   2% 1/50 [00:00<00:05,  8.30it/s]
2025-08-26T20:27:47.1949721Z running benchmark:   4% 2/50 [00:00<00:05,  8.08it/s]
2025-08-26T20:27:47.3034988Z running benchmark:   6% 3/50 [00:00<00:05,  8.41it/s]
2025-08-26T20:27:47.4139236Z running benchmark:   8% 4/50 [00:00<00:05,  8.71it/s]
2025-08-26T20:27:47.5330199Z running benchmark:  10% 5/50 [00:00<00:05,  8.83it/s]
2025-08-26T20:27:47.6454279Z running benchmark:  12% 6/50 [00:00<00:05,  8.68it/s]
2025-08-26T20:27:47.7624344Z running benchmark:  14% 7/50 [00:00<00:04,  8.75it/s]
2025-08-26T20:27:47.9633868Z running benchmark:  16% 8/50 [00:00<00:04,  8.68it/s]
2025-08-26T20:27:48.0701221Z running benchmark:  20% 10/50 [00:01<00:04,  9.24it/s]
2025-08-26T20:27:48.1920141Z running benchmark:  22% 11/50 [00:01<00:04,  9.28it/s]
2025-08-26T20:27:48.2996831Z running benchmark:  24% 12/50 [00:01<00:04,  8.96it/s]
2025-08-26T20:27:48.4047470Z running benchmark:  26% 13/50 [00:01<00:04,  9.05it/s]
2025-08-26T20:27:48.5135250Z running benchmark:  28% 14/50 [00:01<00:03,  9.18it/s]
2025-08-26T20:27:48.6208323Z running benchmark:  30% 15/50 [00:01<00:03,  9.18it/s]
2025-08-26T20:27:48.7297873Z running benchmark:  32% 16/50 [00:01<00:03,  9.22it/s]
2025-08-26T20:27:48.8327189Z running benchmark:  34% 17/50 [00:01<00:03,  9.21it/s]
2025-08-26T20:27:48.9409407Z running benchmark:  36% 18/50 [00:01<00:03,  9.35it/s]
2025-08-26T20:27:49.0523148Z running benchmark:  38% 19/50 [00:02<00:03,  9.32it/s]
2025-08-26T20:27:49.1624588Z running benchmark:  40% 20/50 [00:02<00:03,  9.21it/s]
2025-08-26T20:27:49.2667477Z running benchmark:  42% 21/50 [00:02<00:03,  9.18it/s]
2025-08-26T20:27:49.3674184Z running benchmark:  44% 22/50 [00:02<00:03,  9.29it/s]
2025-08-26T20:27:49.4705382Z running benchmark:  46% 23/50 [00:02<00:02,  9.48it/s]
2025-08-26T20:27:49.5781924Z running benchmark:  48% 24/50 [00:02<00:02,  9.54it/s]
2025-08-26T20:27:49.6832624Z running benchmark:  50% 25/50 [00:02<00:02,  9.46it/s]
2025-08-26T20:27:49.7918381Z running benchmark:  52% 26/50 [00:02<00:02,  9.48it/s]
2025-08-26T20:27:49.9063918Z running benchmark:  54% 27/50 [00:02<00:02,  9.40it/s]
2025-08-26T20:27:50.0143826Z running benchmark:  56% 28/50 [00:03<00:02,  9.19it/s]
2025-08-26T20:27:50.1176386Z running benchmark:  58% 29/50 [00:03<00:02,  9.21it/s]
2025-08-26T20:27:50.2302078Z running benchmark:  60% 30/50 [00:03<00:02,  9.35it/s]
2025-08-26T20:27:50.3497387Z running benchmark:  62% 31/50 [00:03<00:02,  9.21it/s]
2025-08-26T20:27:50.4579235Z running benchmark:  64% 32/50 [00:03<00:02,  8.93it/s]
2025-08-26T20:27:50.5627549Z running benchmark:  66% 33/50 [00:03<00:01,  9.02it/s]
2025-08-26T20:27:50.6714011Z running benchmark:  68% 34/50 [00:03<00:01,  9.17it/s]
2025-08-26T20:27:50.7863276Z running benchmark:  70% 35/50 [00:03<00:01,  9.18it/s]
2025-08-26T20:27:50.8947860Z running benchmark:  72% 36/50 [00:03<00:01,  9.03it/s]
2025-08-26T20:27:50.9989896Z running benchmark:  74% 37/50 [00:04<00:01,  9.09it/s]
2025-08-26T20:27:51.1070941Z running benchmark:  76% 38/50 [00:04<00:01,  9.24it/s]
2025-08-26T20:27:51.2221668Z running benchmark:  78% 39/50 [00:04<00:01,  9.24it/s]
2025-08-26T20:27:51.3366632Z running benchmark:  80% 40/50 [00:04<00:01,  9.07it/s]
2025-08-26T20:27:51.4406316Z running benchmark:  82% 41/50 [00:04<00:01,  8.97it/s]
2025-08-26T20:27:51.5487377Z running benchmark:  84% 42/50 [00:04<00:00,  9.15it/s]
2025-08-26T20:27:51.6622092Z running benchmark:  86% 43/50 [00:04<00:00,  9.18it/s]
2025-08-26T20:27:51.7701717Z running benchmark:  88% 44/50 [00:04<00:00,  9.06it/s]
2025-08-26T20:27:51.8741293Z running benchmark:  90% 45/50 [00:04<00:00,  9.12it/s]
2025-08-26T20:27:51.9820147Z running benchmark:  92% 46/50 [00:05<00:00,  9.27it/s]
2025-08-26T20:27:52.0972166Z running benchmark:  94% 47/50 [00:05<00:00,  9.27it/s]
2025-08-26T20:27:52.2067482Z running benchmark:  96% 48/50 [00:05<00:00,  9.08it/s]
2025-08-26T20:27:52.3093724Z running benchmark:  98% 49/50 [00:05<00:00,  9.10it/s]
2025-08-26T20:27:52.3094176Z running benchmark: 100% 50/50 [00:05<00:00,  9.28it/s]
2025-08-26T20:27:52.3094584Z running benchmark: 100% 50/50 [00:05<00:00,  9.13it/s]
2025-08-26T20:27:52.6775492Z 2.336x
2025-08-26T20:27:52.6776012Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:27:54.4293473Z + cat /var/lib/jenkins/workspace/test/test-reports/inductor_inference_hf_Bert_large_inductor_amp_dynamic_cpu_smoketest.csv
2025-08-26T20:27:54.4307309Z 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
2025-08-26T20:27:54.4307956Z cpu,hf_Bert_large,1,2.335575,32.991307,19.969190,0.948346,667.075379,703.409357,552,1,0,0,0,0,1
2025-08-26T20:27:54.4309031Z + python benchmarks/dynamo/check_perf_csv.py -f /var/lib/jenkins/workspace/test/test-reports/inductor_inference_hf_Bert_large_inductor_amp_dynamic_cpu_smoketest.csv -t 1.18572179 -s 0.99
2025-08-26T20:27:54.6805134Z hf_Bert_large                      2.335575
2025-08-26T20:27:54.7159064Z + IFS=,
2025-08-26T20:27:54.7159313Z + read -r -a model_cfg
2025-08-26T20:27:54.7159535Z + local model_name=llama
2025-08-26T20:27:54.7159740Z + local data_type=amp
2025-08-26T20:27:54.7159951Z + local speedup_target=1.33157028
2025-08-26T20:27:54.7160181Z + local backend=inductor
2025-08-26T20:27:54.7160389Z + [[ default == \c\p\p ]]
2025-08-26T20:27:54.7160592Z + unset TORCHINDUCTOR_CPP_WRAPPER
2025-08-26T20:27:54.7161076Z + local output_name=/var/lib/jenkins/workspace/test/test-reports/inductor_inference_llama_inductor_amp_static_cpu_smoketest.csv
2025-08-26T20:27:54.7161557Z + [[ static == \d\y\n\a\m\i\c ]]
2025-08-26T20:27:54.7162376Z + 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
2025-08-26T20:27:56.7696922Z 
2025-08-26T20:27:57.5148863Z loading model: 0it [00:00, ?it/s]
2025-08-26T20:27:57.5149944Z loading model: 0it [00:00, ?it/s]
2025-08-26T20:27:57.5150569Z cpu  eval  llama                              
2025-08-26T20:28:04.9204793Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9205105Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9205315Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9205573Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9205957Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9206277Z     return mod(*inputs)
2025-08-26T20:28:04.9206605Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9206982Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9207531Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9207937Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9208248Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9208560Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9208894Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-08-26T20:28:04.9209310Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-08-26T20:28:04.9209730Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9210128Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9210259Z 
2025-08-26T20:28:04.9210368Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9210745Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9211081Z     return mod(*inputs)
2025-08-26T20:28:04.9211340Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9211672Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9211971Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9212301Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9212598Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9212910Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9213267Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-08-26T20:28:04.9213629Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-08-26T20:28:04.9214063Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9214506Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9214662Z 
2025-08-26T20:28:04.9214770Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9215151Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9215472Z     return mod(*inputs)
2025-08-26T20:28:04.9215746Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9216058Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9216346Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9216664Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9216930Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9217248Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9217591Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-26T20:28:04.9217935Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-26T20:28:04.9218396Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9218741Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9218864Z 
2025-08-26T20:28:04.9218976Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9219363Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9219677Z     return mod(*inputs)
2025-08-26T20:28:04.9219970Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9220259Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9220538Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9220852Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9221122Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9221503Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9221829Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-26T20:28:04.9222202Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-26T20:28:04.9222576Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9222946Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9223075Z 
2025-08-26T20:28:04.9223176Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9223528Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9223869Z     return mod(*inputs)
2025-08-26T20:28:04.9224125Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9224428Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9224743Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9225027Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9225331Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9225627Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9225954Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-26T20:28:04.9226319Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-26T20:28:04.9226690Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9227085Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9227202Z 
2025-08-26T20:28:04.9227309Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9227670Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9228059Z     return mod(*inputs)
2025-08-26T20:28:04.9228317Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9228629Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9228916Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9229219Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9229494Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9229783Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9230149Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-26T20:28:04.9230477Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-26T20:28:04.9230879Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9231255Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9231370Z 
2025-08-26T20:28:04.9231454Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9231667Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9231923Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9232153Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9232489Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9232839Z     return mod(*inputs)
2025-08-26T20:28:04.9233090Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9233399Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9233705Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9233982Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9234263Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9234609Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9234981Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-08-26T20:28:04.9235331Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-08-26T20:28:04.9235756Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9236117Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9236233Z 
2025-08-26T20:28:04.9236345Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9236692Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9237057Z     return mod(*inputs)
2025-08-26T20:28:04.9237313Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9237611Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9237900Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9238180Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9238489Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9238791Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9239111Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-08-26T20:28:04.9239465Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-08-26T20:28:04.9239856Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9240196Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9240317Z 
2025-08-26T20:28:04.9240418Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9240768Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9241079Z     return mod(*inputs)
2025-08-26T20:28:04.9241359Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9241652Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9241932Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9242209Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9242477Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9242801Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9243120Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-26T20:28:04.9243449Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-26T20:28:04.9243812Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9244156Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9244279Z 
2025-08-26T20:28:04.9244384Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9244733Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9245051Z     return mod(*inputs)
2025-08-26T20:28:04.9245295Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9245582Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9245865Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9246146Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9246410Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9246713Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9247031Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-26T20:28:04.9247360Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-26T20:28:04.9247728Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9248102Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9248225Z 
2025-08-26T20:28:04.9248326Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9248671Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9248980Z     return mod(*inputs)
2025-08-26T20:28:04.9249225Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9249511Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9249797Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9250067Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9250325Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9250622Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9250938Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-26T20:28:04.9251258Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-26T20:28:04.9251619Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9251945Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9252064Z 
2025-08-26T20:28:04.9252163Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9252504Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9252810Z     return mod(*inputs)
2025-08-26T20:28:04.9253043Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9253321Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9253595Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9253920Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9254191Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9254485Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9254806Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-26T20:28:04.9255131Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-26T20:28:04.9255502Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9255836Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9255957Z 
2025-08-26T20:28:04.9256037Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9256248Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9256454Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9256660Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9256854Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9257062Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9257265Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9257465Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9257656Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9257854Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9258054Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9258252Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9258445Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9258673Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9259017Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9259329Z     return mod(*inputs)
2025-08-26T20:28:04.9259579Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9259864Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9260137Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 197, in forward
2025-08-26T20:28:04.9260465Z     out = h + self.feed_forward.forward(self.ffn_norm(h))
2025-08-26T20:28:04.9260752Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 170, in forward
2025-08-26T20:28:04.9261043Z     return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-08-26T20:28:04.9261396Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9261732Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9261842Z 
2025-08-26T20:28:04.9261923Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9262116Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9262313Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9262509Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9262704Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9262918Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9263258Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9263565Z     return mod(*inputs)
2025-08-26T20:28:04.9263809Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9264081Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9264350Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9264624Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9264893Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9265188Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9265496Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-08-26T20:28:04.9265978Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-08-26T20:28:04.9266385Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9266790Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9266908Z 
2025-08-26T20:28:04.9267009Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9267358Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9267677Z     return mod(*inputs)
2025-08-26T20:28:04.9267929Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9268223Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9268496Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9268779Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9269059Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9269365Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9269675Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-08-26T20:28:04.9270038Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-08-26T20:28:04.9270443Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9270794Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9270909Z 
2025-08-26T20:28:04.9271020Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9271361Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9271679Z     return mod(*inputs)
2025-08-26T20:28:04.9271932Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9272217Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9272492Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9272774Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9273049Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9273392Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9273708Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-26T20:28:04.9274040Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-26T20:28:04.9274412Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9274756Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9274869Z 
2025-08-26T20:28:04.9274978Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9275313Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9275620Z     return mod(*inputs)
2025-08-26T20:28:04.9275873Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9276160Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9276432Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9276709Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9276977Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9277278Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9277596Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-26T20:28:04.9277919Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-26T20:28:04.9278286Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9278626Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9278742Z 
2025-08-26T20:28:04.9278851Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9279195Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9280253Z     return mod(*inputs)
2025-08-26T20:28:04.9280510Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9280806Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9281095Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9281371Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9281645Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9281949Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9282268Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-26T20:28:04.9282593Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-26T20:28:04.9282967Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9283317Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9283431Z 
2025-08-26T20:28:04.9283545Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9283893Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9284198Z     return mod(*inputs)
2025-08-26T20:28:04.9284450Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9284737Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9285020Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9285293Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9285568Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9285871Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9286191Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-26T20:28:04.9286524Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-26T20:28:04.9286928Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9287276Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9287397Z 
2025-08-26T20:28:04.9287479Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9287691Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9287891Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9288121Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9288465Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9288780Z     return mod(*inputs)
2025-08-26T20:28:04.9289024Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9289312Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9289593Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9289878Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9290151Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9290444Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9290760Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-08-26T20:28:04.9291116Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-08-26T20:28:04.9291518Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9291854Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9291975Z 
2025-08-26T20:28:04.9292076Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9292422Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9292734Z     return mod(*inputs)
2025-08-26T20:28:04.9293020Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9293303Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9293586Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9293867Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9294140Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9294437Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9294758Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-08-26T20:28:04.9295113Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-08-26T20:28:04.9295513Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9295858Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9295972Z 
2025-08-26T20:28:04.9296079Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9296431Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9296749Z     return mod(*inputs)
2025-08-26T20:28:04.9297000Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9297289Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9297574Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9297852Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9298123Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9298424Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9298736Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-26T20:28:04.9299064Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-26T20:28:04.9299487Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9299840Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9299956Z 
2025-08-26T20:28:04.9300058Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9300405Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9300721Z     return mod(*inputs)
2025-08-26T20:28:04.9300976Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9301262Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9301537Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9301819Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9302090Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9302398Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9302718Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-26T20:28:04.9303046Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-26T20:28:04.9303420Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9303764Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9303877Z 
2025-08-26T20:28:04.9303986Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9304325Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9304639Z     return mod(*inputs)
2025-08-26T20:28:04.9304887Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9305174Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9305447Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9305757Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9306030Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9306325Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9306632Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-26T20:28:04.9306961Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-26T20:28:04.9307331Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9307674Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9307788Z 
2025-08-26T20:28:04.9307897Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9308233Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9308546Z     return mod(*inputs)
2025-08-26T20:28:04.9308796Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9309084Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9309358Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9309635Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9309904Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9310206Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9310526Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-26T20:28:04.9310846Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-26T20:28:04.9311215Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9311556Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9311670Z 
2025-08-26T20:28:04.9311758Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9311961Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9312165Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9312395Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9312599Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9312793Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9312995Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9313195Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9313394Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9313590Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9313782Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9313980Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9314182Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9314410Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9314748Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9315061Z     return mod(*inputs)
2025-08-26T20:28:04.9315319Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9315601Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9315870Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 197, in forward
2025-08-26T20:28:04.9316175Z     out = h + self.feed_forward.forward(self.ffn_norm(h))
2025-08-26T20:28:04.9316475Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 170, in forward
2025-08-26T20:28:04.9316769Z     return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-08-26T20:28:04.9317123Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9317462Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9317586Z 
2025-08-26T20:28:04.9317662Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9317864Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9318064Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9318290Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9318492Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9318721Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9319065Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9319372Z     return mod(*inputs)
2025-08-26T20:28:04.9319626Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9319917Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9320199Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9320471Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9320747Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9321050Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9321370Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-08-26T20:28:04.9321728Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-08-26T20:28:04.9322121Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9322474Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9322596Z 
2025-08-26T20:28:04.9322698Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9323041Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9323352Z     return mod(*inputs)
2025-08-26T20:28:04.9323605Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9323893Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9324172Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9324456Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9324720Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9325057Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9325377Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-08-26T20:28:04.9325729Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-08-26T20:28:04.9326121Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9326465Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9326585Z 
2025-08-26T20:28:04.9326686Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9327033Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9327345Z     return mod(*inputs)
2025-08-26T20:28:04.9327587Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9327876Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9328156Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9328436Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9328699Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9329001Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9329318Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-26T20:28:04.9329645Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-26T20:28:04.9330015Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9330357Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9330477Z 
2025-08-26T20:28:04.9330577Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9330921Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9331264Z     return mod(*inputs)
2025-08-26T20:28:04.9331511Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9331801Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9332082Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9332363Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9332639Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9332934Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9333255Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-26T20:28:04.9333588Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-26T20:28:04.9333963Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9334303Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9334427Z 
2025-08-26T20:28:04.9334531Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9334876Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9335193Z     return mod(*inputs)
2025-08-26T20:28:04.9335444Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9335725Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9336008Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9336292Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9336567Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9336862Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9337184Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-26T20:28:04.9337515Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-26T20:28:04.9337976Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9338327Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9338440Z 
2025-08-26T20:28:04.9338543Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9338892Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9339205Z     return mod(*inputs)
2025-08-26T20:28:04.9339459Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9339741Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9340022Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9340303Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9340579Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9340877Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9341199Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-26T20:28:04.9341530Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-26T20:28:04.9341896Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9342240Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9342354Z 
2025-08-26T20:28:04.9342431Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9342639Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9342841Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9343069Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9343409Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9343718Z     return mod(*inputs)
2025-08-26T20:28:04.9344001Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9344293Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9344571Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9344845Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9345114Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9345418Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9345736Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-08-26T20:28:04.9346085Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-08-26T20:28:04.9346490Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9346838Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9346954Z 
2025-08-26T20:28:04.9347066Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9347418Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9347725Z     return mod(*inputs)
2025-08-26T20:28:04.9347978Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9348270Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9348551Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9348826Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9349100Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9349404Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9349729Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-08-26T20:28:04.9350077Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-08-26T20:28:04.9350520Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9350868Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9350983Z 
2025-08-26T20:28:04.9351104Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9351451Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9351757Z     return mod(*inputs)
2025-08-26T20:28:04.9352013Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9352297Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9352579Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9352854Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9353129Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9353431Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9353756Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-26T20:28:04.9354084Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-26T20:28:04.9354451Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9354790Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9354914Z 
2025-08-26T20:28:04.9355016Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9355362Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9355663Z     return mod(*inputs)
2025-08-26T20:28:04.9355917Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9356206Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9356488Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9356796Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9357062Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9357362Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9357675Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-26T20:28:04.9358004Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-26T20:28:04.9358374Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9358708Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9358828Z 
2025-08-26T20:28:04.9358923Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9359258Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9359560Z     return mod(*inputs)
2025-08-26T20:28:04.9359796Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9360077Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9360354Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9360817Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9361076Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9361370Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9361683Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-26T20:28:04.9362006Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-26T20:28:04.9362373Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9362703Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9362822Z 
2025-08-26T20:28:04.9362920Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9363264Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9363599Z     return mod(*inputs)
2025-08-26T20:28:04.9363843Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9364130Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9364402Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9364674Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9364941Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9365229Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9365540Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-26T20:28:04.9365939Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-26T20:28:04.9366314Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9366658Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9366791Z 
2025-08-26T20:28:04.9366872Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9367083Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9367302Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9367502Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9367694Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9367894Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9368099Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9368294Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9368482Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9368678Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9368877Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9369074Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9369260Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9369546Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9369886Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9370195Z     return mod(*inputs)
2025-08-26T20:28:04.9370432Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9370718Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9370995Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 197, in forward
2025-08-26T20:28:04.9371301Z     out = h + self.feed_forward.forward(self.ffn_norm(h))
2025-08-26T20:28:04.9371589Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 170, in forward
2025-08-26T20:28:04.9371885Z     return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-08-26T20:28:04.9372244Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9372579Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9372694Z 
2025-08-26T20:28:04.9372778Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9372972Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9373171Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9373367Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9373563Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9373779Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9374118Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9374423Z     return mod(*inputs)
2025-08-26T20:28:04.9374672Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9374947Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9375223Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9375498Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9375766Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9376249Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9376563Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-08-26T20:28:04.9376917Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-08-26T20:28:04.9377317Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9377659Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9377773Z 
2025-08-26T20:28:04.9377870Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9378215Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9378525Z     return mod(*inputs)
2025-08-26T20:28:04.9378777Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9379060Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9379331Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9379607Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9379871Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9380167Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9380474Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-08-26T20:28:04.9380820Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-08-26T20:28:04.9381206Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9381538Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9381650Z 
2025-08-26T20:28:04.9381759Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9382089Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9382434Z     return mod(*inputs)
2025-08-26T20:28:04.9382689Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9382973Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9383245Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9383527Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9383800Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9384103Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9384423Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-26T20:28:04.9384748Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-26T20:28:04.9385120Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9385468Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9385583Z 
2025-08-26T20:28:04.9385695Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9386038Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9386351Z     return mod(*inputs)
2025-08-26T20:28:04.9386606Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9386895Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9387177Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9387450Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9387720Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9388021Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9388341Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-26T20:28:04.9388667Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-26T20:28:04.9389075Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9389418Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9389533Z 
2025-08-26T20:28:04.9389642Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9389983Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9390286Z     return mod(*inputs)
2025-08-26T20:28:04.9390536Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9390822Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9391101Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9391370Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9391640Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9391943Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9392262Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-26T20:28:04.9392576Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-26T20:28:04.9392939Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9393276Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9393388Z 
2025-08-26T20:28:04.9393497Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9393836Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9394135Z     return mod(*inputs)
2025-08-26T20:28:04.9394385Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9394665Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9394985Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9395250Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9395513Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9395805Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9396113Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-26T20:28:04.9396437Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-26T20:28:04.9396791Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9397123Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9397240Z 
2025-08-26T20:28:04.9397318Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9397525Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9397721Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9397950Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9398286Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9398594Z     return mod(*inputs)
2025-08-26T20:28:04.9398835Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9399113Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9399389Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9399663Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9399934Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9400220Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9400533Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-08-26T20:28:04.9400878Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-08-26T20:28:04.9401304Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9401640Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9401762Z 
2025-08-26T20:28:04.9401865Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9402211Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9402524Z     return mod(*inputs)
2025-08-26T20:28:04.9402779Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9403061Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9403345Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9403625Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9403904Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9404197Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9404522Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-08-26T20:28:04.9404874Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-08-26T20:28:04.9405270Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9405612Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9405729Z 
2025-08-26T20:28:04.9405831Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9406174Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9406485Z     return mod(*inputs)
2025-08-26T20:28:04.9406737Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9407017Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9407293Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9407603Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9407874Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9408170Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9408473Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-26T20:28:04.9408797Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-26T20:28:04.9409156Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9409494Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9409607Z 
2025-08-26T20:28:04.9409702Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9410041Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9410350Z     return mod(*inputs)
2025-08-26T20:28:04.9410612Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9410897Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9411170Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9411443Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9411713Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9412017Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9412328Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-26T20:28:04.9412655Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-26T20:28:04.9413029Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9413373Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9413486Z 
2025-08-26T20:28:04.9413593Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9413967Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9414281Z     return mod(*inputs)
2025-08-26T20:28:04.9414534Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9414824Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9415098Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9415379Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9415652Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9415958Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9416281Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-26T20:28:04.9416602Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-26T20:28:04.9416968Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9417320Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9417437Z 
2025-08-26T20:28:04.9417548Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9417880Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9418198Z     return mod(*inputs)
2025-08-26T20:28:04.9418450Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9418736Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9419011Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9419290Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9419559Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9419862Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9420181Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-26T20:28:04.9420544Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-26T20:28:04.9420922Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9421264Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9421379Z 
2025-08-26T20:28:04.9421467Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9421669Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9421879Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9422081Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9422284Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9422485Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9422678Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9422877Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9423078Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9423307Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9423655Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9423960Z     return mod(*inputs)
2025-08-26T20:28:04.9424203Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9424487Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9424752Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9425027Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9425364Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9425694Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9425805Z 
2025-08-26T20:28:04.9425880Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9426082Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9426282Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9426481Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9426735Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9427066Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9427368Z     return mod(*inputs)
2025-08-26T20:28:04.9427620Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9427904Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9428175Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 197, in forward
2025-08-26T20:28:04.9428480Z     out = h + self.feed_forward.forward(self.ffn_norm(h))
2025-08-26T20:28:04.9428777Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 170, in forward
2025-08-26T20:28:04.9429069Z     return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-08-26T20:28:04.9429417Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9429752Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9429873Z 
2025-08-26T20:28:04.9429949Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9430152Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9430351Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9430540Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9430735Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9430960Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9431296Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9431595Z     return mod(*inputs)
2025-08-26T20:28:04.9431840Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9432119Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9432390Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9432690Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9432957Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9433255Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9433570Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-08-26T20:28:04.9433918Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-08-26T20:28:04.9434303Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9434637Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9434756Z 
2025-08-26T20:28:04.9434855Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9435194Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9435494Z     return mod(*inputs)
2025-08-26T20:28:04.9435736Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9436022Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9436296Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9436564Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9436822Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9437112Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9437419Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-08-26T20:28:04.9437763Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-08-26T20:28:04.9438143Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9438477Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9438596Z 
2025-08-26T20:28:04.9438695Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9439067Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9439377Z     return mod(*inputs)
2025-08-26T20:28:04.9439618Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9439902Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9440180Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9440458Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9440721Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9441021Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9441339Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-26T20:28:04.9441667Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-26T20:28:04.9442033Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9442370Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9442492Z 
2025-08-26T20:28:04.9442593Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9442937Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9443244Z     return mod(*inputs)
2025-08-26T20:28:04.9443482Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9443767Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9444042Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9444319Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9444583Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9444873Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9445235Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-26T20:28:04.9445563Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-26T20:28:04.9445931Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9446264Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9446384Z 
2025-08-26T20:28:04.9446484Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9446827Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9447133Z     return mod(*inputs)
2025-08-26T20:28:04.9447378Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9447653Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9447929Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9448207Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9448477Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9448769Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9449079Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-26T20:28:04.9449400Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-26T20:28:04.9449761Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9450092Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9450208Z 
2025-08-26T20:28:04.9450306Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9450640Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9450947Z     return mod(*inputs)
2025-08-26T20:28:04.9451193Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9451469Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9451776Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9452049Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9452312Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9452599Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9452910Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-26T20:28:04.9453228Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-26T20:28:04.9453591Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9453926Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9454037Z 
2025-08-26T20:28:04.9454113Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9454317Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9454523Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9454749Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9455080Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9455381Z     return mod(*inputs)
2025-08-26T20:28:04.9455626Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9455907Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9456171Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9456446Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9456718Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9457011Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9457320Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-08-26T20:28:04.9457656Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-08-26T20:28:04.9458085Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9458424Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9458536Z 
2025-08-26T20:28:04.9458643Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9458985Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9459288Z     return mod(*inputs)
2025-08-26T20:28:04.9459533Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9459815Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9460091Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9460358Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9460623Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9460920Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9461235Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-08-26T20:28:04.9461577Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-08-26T20:28:04.9461969Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9462303Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9462416Z 
2025-08-26T20:28:04.9462523Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9462863Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9463160Z     return mod(*inputs)
2025-08-26T20:28:04.9463403Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9463683Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9463959Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9464257Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9464524Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9464820Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9465135Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-26T20:28:04.9465461Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-26T20:28:04.9465925Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9466279Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9466402Z 
2025-08-26T20:28:04.9466505Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9466857Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9467159Z     return mod(*inputs)
2025-08-26T20:28:04.9467412Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9467697Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9467977Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9468254Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9468511Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9468808Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9469123Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-26T20:28:04.9469448Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-26T20:28:04.9469802Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9470138Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9470476Z 
2025-08-26T20:28:04.9470582Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9470926Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9471247Z     return mod(*inputs)
2025-08-26T20:28:04.9471498Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9471789Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9472072Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9472358Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9472625Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9472932Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9473247Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-26T20:28:04.9473575Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-26T20:28:04.9473949Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9474283Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9474406Z 
2025-08-26T20:28:04.9474510Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9474853Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9475167Z     return mod(*inputs)
2025-08-26T20:28:04.9475410Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9475697Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9475976Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9476256Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9476520Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9476820Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9477185Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-26T20:28:04.9477507Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-26T20:28:04.9477869Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9478191Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9478308Z 
2025-08-26T20:28:04.9478383Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9478587Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9478788Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9478977Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9479175Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9479372Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9479571Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9479758Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9479959Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9480157Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9480356Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9480544Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9480738Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9480961Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9481303Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9481611Z     return mod(*inputs)
2025-08-26T20:28:04.9481849Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9482130Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9482402Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 197, in forward
2025-08-26T20:28:04.9482703Z     out = h + self.feed_forward.forward(self.ffn_norm(h))
2025-08-26T20:28:04.9482989Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 170, in forward
2025-08-26T20:28:04.9483317Z     return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-08-26T20:28:04.9483672Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9484006Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9484119Z 
2025-08-26T20:28:04.9484201Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9484392Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9484591Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9484785Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9484982Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9485194Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9485529Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9485834Z     return mod(*inputs)
2025-08-26T20:28:04.9486079Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9486353Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9486628Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9486895Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9487159Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9487442Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9487753Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-08-26T20:28:04.9488100Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-08-26T20:28:04.9488492Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9488825Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9488937Z 
2025-08-26T20:28:04.9489035Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9489411Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9489720Z     return mod(*inputs)
2025-08-26T20:28:04.9489965Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9490238Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9490508Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9490780Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9491044Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9491336Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9491641Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-08-26T20:28:04.9491991Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-08-26T20:28:04.9492386Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9492732Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9492843Z 
2025-08-26T20:28:04.9492949Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9493280Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9493585Z     return mod(*inputs)
2025-08-26T20:28:04.9493831Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9494115Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9494383Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9494657Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9494920Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9495212Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9495548Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-26T20:28:04.9495876Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-26T20:28:04.9496240Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9496576Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9496686Z 
2025-08-26T20:28:04.9496792Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9497123Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9497430Z     return mod(*inputs)
2025-08-26T20:28:04.9497675Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9497954Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9498218Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9498496Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9498763Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9499060Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9499370Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-26T20:28:04.9499686Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-26T20:28:04.9500054Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9500390Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9500500Z 
2025-08-26T20:28:04.9500608Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9500938Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9501244Z     return mod(*inputs)
2025-08-26T20:28:04.9501489Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9501769Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9502076Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9502345Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9502612Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9502905Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9503214Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-26T20:28:04.9503528Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-26T20:28:04.9503889Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9504224Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9504335Z 
2025-08-26T20:28:04.9504442Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9504780Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9505084Z     return mod(*inputs)
2025-08-26T20:28:04.9505335Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9505618Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9505891Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9506160Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9506428Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9506531Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9506696Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-26T20:28:04.9506796Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-26T20:28:04.9507015Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9507122Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9507125Z 
2025-08-26T20:28:04.9507212Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9507288Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9507362Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9507471Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9507658Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9507730Z     return mod(*inputs)
2025-08-26T20:28:04.9507876Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9507955Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9508106Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9508179Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9508328Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9508424Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9508592Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-08-26T20:28:04.9508723Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-08-26T20:28:04.9508937Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9509014Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9509017Z 
2025-08-26T20:28:04.9509116Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9509316Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9509380Z     return mod(*inputs)
2025-08-26T20:28:04.9509521Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9509606Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9509748Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9509857Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9510000Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9510092Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9510262Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-08-26T20:28:04.9510384Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-08-26T20:28:04.9510599Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9510666Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9510669Z 
2025-08-26T20:28:04.9510768Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9510957Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9511023Z     return mod(*inputs)
2025-08-26T20:28:04.9511174Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9511251Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9511389Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9511466Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9511606Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9511705Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9511869Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-26T20:28:04.9511966Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-26T20:28:04.9512186Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9512253Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9512305Z 
2025-08-26T20:28:04.9512412Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9512598Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9512670Z     return mod(*inputs)
2025-08-26T20:28:04.9512814Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9512890Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9513041Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9513112Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9513260Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9513350Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9513513Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-26T20:28:04.9513616Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-26T20:28:04.9513830Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9513904Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9513907Z 
2025-08-26T20:28:04.9514005Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9514185Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9514256Z     return mod(*inputs)
2025-08-26T20:28:04.9514399Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9514486Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9514627Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9514699Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9514848Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9514938Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9515142Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-26T20:28:04.9515239Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-26T20:28:04.9515451Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9515517Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9515520Z 
2025-08-26T20:28:04.9515615Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9515803Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9515867Z     return mod(*inputs)
2025-08-26T20:28:04.9516014Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9516089Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9516229Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9516313Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9516456Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9516557Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9516721Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-26T20:28:04.9516818Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-26T20:28:04.9517033Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9517100Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9517103Z 
2025-08-26T20:28:04.9517187Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9517261Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9517334Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9517418Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9517491Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9517605Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9517680Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9517752Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9517832Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9517931Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9518122Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9518185Z     return mod(*inputs)
2025-08-26T20:28:04.9518328Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9518415Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9518556Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9518638Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9518848Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9518918Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9518921Z 
2025-08-26T20:28:04.9519003Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9519076Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9519153Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9519224Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9519320Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9519510Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9519572Z     return mod(*inputs)
2025-08-26T20:28:04.9519721Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9519798Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9519939Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 197, in forward
2025-08-26T20:28:04.9520045Z     out = h + self.feed_forward.forward(self.ffn_norm(h))
2025-08-26T20:28:04.9520187Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 170, in forward
2025-08-26T20:28:04.9520327Z     return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-08-26T20:28:04.9520539Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9520606Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9520616Z 
2025-08-26T20:28:04.9520686Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9520758Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9520837Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9520907Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9520976Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9521079Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9521263Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9521338Z     return mod(*inputs)
2025-08-26T20:28:04.9521484Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9521562Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9521709Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9521780Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9521928Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9522023Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9522196Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-08-26T20:28:04.9522320Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-08-26T20:28:04.9522533Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9522608Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9522649Z 
2025-08-26T20:28:04.9522746Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9522936Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9522999Z     return mod(*inputs)
2025-08-26T20:28:04.9523141Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9523225Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9523366Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9523442Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9523583Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9523674Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9523846Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-08-26T20:28:04.9523969Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-08-26T20:28:04.9524194Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9524262Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9524265Z 
2025-08-26T20:28:04.9524361Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9524549Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9524613Z     return mod(*inputs)
2025-08-26T20:28:04.9524760Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9524836Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9524980Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9525050Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9525193Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9525297Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9525492Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-26T20:28:04.9525599Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-26T20:28:04.9525806Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9525873Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9525875Z 
2025-08-26T20:28:04.9525980Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9526161Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9526233Z     return mod(*inputs)
2025-08-26T20:28:04.9526374Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9526450Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9526598Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9526673Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9526819Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9526911Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9527074Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-26T20:28:04.9527177Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-26T20:28:04.9527386Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9527461Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9527464Z 
2025-08-26T20:28:04.9527559Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9527746Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9527811Z     return mod(*inputs)
2025-08-26T20:28:04.9527952Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9528073Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9528215Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9528295Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9528437Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9528526Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9528697Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-26T20:28:04.9528792Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-26T20:28:04.9529012Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9529081Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9529084Z 
2025-08-26T20:28:04.9529180Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9529375Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9529441Z     return mod(*inputs)
2025-08-26T20:28:04.9529588Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9529663Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9529803Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9529885Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9530025Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9530124Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9530285Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-26T20:28:04.9530382Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-26T20:28:04.9530599Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9530840Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9530843Z 
2025-08-26T20:28:04.9530932Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9531008Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9531082Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9531191Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9531375Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9531449Z     return mod(*inputs)
2025-08-26T20:28:04.9531590Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9531666Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9531819Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9531888Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9532040Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9532134Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9532307Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-08-26T20:28:04.9532431Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-08-26T20:28:04.9532639Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9532716Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9532718Z 
2025-08-26T20:28:04.9532817Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9533009Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9533072Z     return mod(*inputs)
2025-08-26T20:28:04.9533215Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9533329Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9533472Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9533552Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9533693Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9533784Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9533955Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-08-26T20:28:04.9534076Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-08-26T20:28:04.9534293Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9534359Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9534362Z 
2025-08-26T20:28:04.9534463Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9534645Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9534713Z     return mod(*inputs)
2025-08-26T20:28:04.9534864Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9534940Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9535089Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9535159Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9535302Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9535402Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9535564Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-26T20:28:04.9535669Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-26T20:28:04.9535879Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9535949Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9535952Z 
2025-08-26T20:28:04.9536081Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9536264Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9536335Z     return mod(*inputs)
2025-08-26T20:28:04.9536476Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9536550Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9536700Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9536771Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9536919Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9537010Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9537168Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-26T20:28:04.9537278Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-26T20:28:04.9537487Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9537562Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9537564Z 
2025-08-26T20:28:04.9537662Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9537850Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9537913Z     return mod(*inputs)
2025-08-26T20:28:04.9538056Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9538138Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9538279Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9538359Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9538502Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9538633Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9538806Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-26T20:28:04.9538902Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-26T20:28:04.9539115Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9539183Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9539186Z 
2025-08-26T20:28:04.9539281Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9539472Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9539535Z     return mod(*inputs)
2025-08-26T20:28:04.9539686Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9539763Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9539907Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9539989Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9540130Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9540226Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9540388Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-26T20:28:04.9540484Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-26T20:28:04.9540701Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9540772Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9540775Z 
2025-08-26T20:28:04.9540862Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9540936Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9541012Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9541092Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9541168Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9541279Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9541352Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9541423Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9541502Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9541575Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9541654Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9541727Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9541799Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9541903Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9542082Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9542153Z     return mod(*inputs)
2025-08-26T20:28:04.9542295Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9542371Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9542521Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 197, in forward
2025-08-26T20:28:04.9542621Z     out = h + self.feed_forward.forward(self.ffn_norm(h))
2025-08-26T20:28:04.9542770Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 170, in forward
2025-08-26T20:28:04.9542860Z     return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-08-26T20:28:04.9543073Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9543149Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9543152Z 
2025-08-26T20:28:04.9543224Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9543304Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9543376Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9543446Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9543525Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9543651Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9543842Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9543906Z     return mod(*inputs)
2025-08-26T20:28:04.9544049Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9544135Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9544275Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9544353Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9544494Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9544586Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9544755Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-08-26T20:28:04.9544877Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-08-26T20:28:04.9545099Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9545166Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9545169Z 
2025-08-26T20:28:04.9545272Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9545452Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9545515Z     return mod(*inputs)
2025-08-26T20:28:04.9545665Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9545740Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9545888Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9545958Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9546098Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9546197Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9546394Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-08-26T20:28:04.9546526Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-08-26T20:28:04.9546736Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9546802Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9546805Z 
2025-08-26T20:28:04.9546906Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9547088Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9547160Z     return mod(*inputs)
2025-08-26T20:28:04.9547299Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9547376Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9547523Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9547597Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9547747Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9547838Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9548008Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-26T20:28:04.9548105Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-26T20:28:04.9548313Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9548388Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9548391Z 
2025-08-26T20:28:04.9548488Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9548680Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9548753Z     return mod(*inputs)
2025-08-26T20:28:04.9548998Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9549109Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9549314Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9549412Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9549578Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9549686Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9549886Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-26T20:28:04.9550009Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-26T20:28:04.9550255Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9550332Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9550335Z 
2025-08-26T20:28:04.9550446Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9550671Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9550742Z     return mod(*inputs)
2025-08-26T20:28:04.9550913Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9551001Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9551170Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9551253Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9551416Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9551528Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9551715Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-26T20:28:04.9551828Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-26T20:28:04.9552071Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9552182Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9552186Z 
2025-08-26T20:28:04.9552306Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9552515Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9552596Z     return mod(*inputs)
2025-08-26T20:28:04.9552761Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9552847Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9553021Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9553101Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9553270Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9553383Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9553571Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-26T20:28:04.9553694Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-26T20:28:04.9553935Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9554020Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9554023Z 
2025-08-26T20:28:04.9554109Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9554193Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9554284Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9554395Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9554612Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9554685Z     return mod(*inputs)
2025-08-26T20:28:04.9554846Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9554943Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9555146Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9555239Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9555406Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9555514Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9555721Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-08-26T20:28:04.9555860Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-08-26T20:28:04.9556109Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9556184Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9556187Z 
2025-08-26T20:28:04.9556304Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9556512Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9556587Z     return mod(*inputs)
2025-08-26T20:28:04.9556760Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9556847Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9557017Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9557097Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9557262Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9557377Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9557565Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-08-26T20:28:04.9557712Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-08-26T20:28:04.9557951Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9558032Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9558043Z 
2025-08-26T20:28:04.9558185Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9558417Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9558494Z     return mod(*inputs)
2025-08-26T20:28:04.9558660Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9558753Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9558918Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9558997Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9559167Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9559271Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9559461Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-26T20:28:04.9559575Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-26T20:28:04.9559817Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9559899Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9559902Z 
2025-08-26T20:28:04.9560013Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9560244Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9560315Z     return mod(*inputs)
2025-08-26T20:28:04.9560481Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9560573Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9560738Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9560825Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9560990Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9561143Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9561337Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-26T20:28:04.9561448Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-26T20:28:04.9561697Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9561772Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9561775Z 
2025-08-26T20:28:04.9561887Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9562123Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9562195Z     return mod(*inputs)
2025-08-26T20:28:04.9562363Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9562448Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9562619Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9562702Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9562872Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9562984Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9563170Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-26T20:28:04.9563287Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-26T20:28:04.9563527Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9563603Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9563606Z 
2025-08-26T20:28:04.9563727Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9563959Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9564041Z     return mod(*inputs)
2025-08-26T20:28:04.9564239Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9564326Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9564502Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9564581Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9564753Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:04.9564856Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:04.9565039Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-26T20:28:04.9565156Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-26T20:28:04.9565395Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9565481Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9565487Z 
2025-08-26T20:28:04.9565573Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9565661Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9565803Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9565904Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9566005Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9566091Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9566176Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9566271Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9566356Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9566482Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9566702Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9566776Z     return mod(*inputs)
2025-08-26T20:28:04.9566956Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9567046Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9567280Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:04.9567364Z     h = x + self.attention.forward(
2025-08-26T20:28:04.9567609Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9567695Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9567698Z 
2025-08-26T20:28:04.9567784Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9567873Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9567956Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9568040Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9568160Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9568373Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9568458Z     return mod(*inputs)
2025-08-26T20:28:04.9568623Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:04.9568718Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:04.9568896Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 197, in forward
2025-08-26T20:28:04.9569012Z     out = h + self.feed_forward.forward(self.ffn_norm(h))
2025-08-26T20:28:04.9569189Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 170, in forward
2025-08-26T20:28:04.9569295Z     return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-08-26T20:28:04.9569549Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9569629Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9569632Z 
2025-08-26T20:28:04.9569717Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9569806Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9569888Z cudagraph partition due to non gpu ops
2025-08-26T20:28:04.9570008Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9570265Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9570342Z     return mod(*inputs)
2025-08-26T20:28:04.9570521Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 244, in forward
2025-08-26T20:28:04.9570659Z     output = self.output(h[:, -1, :])  # only compute last logits
2025-08-26T20:28:04.9570914Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9570990Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9570994Z 
2025-08-26T20:28:04.9571106Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9571328Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9571400Z     return mod(*inputs)
2025-08-26T20:28:04.9571575Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 244, in forward
2025-08-26T20:28:04.9571714Z     output = self.output(h[:, -1, :])  # only compute last logits
2025-08-26T20:28:04.9571960Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9572045Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9572048Z 
2025-08-26T20:28:04.9572158Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9572380Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9572452Z     return mod(*inputs)
2025-08-26T20:28:04.9572626Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 244, in forward
2025-08-26T20:28:04.9572753Z     output = self.output(h[:, -1, :])  # only compute last logits
2025-08-26T20:28:04.9573007Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9573092Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9574299Z 
2025-08-26T20:28:04.9574448Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:04.9574672Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:04.9574744Z     return mod(*inputs)
2025-08-26T20:28:04.9574911Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 245, in forward
2025-08-26T20:28:04.9575003Z     return output.float()
2025-08-26T20:28:04.9575253Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:04.9575341Z     return func(*args, **kwargs)
2025-08-26T20:28:04.9575344Z 
2025-08-26T20:28:24.1232964Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1233284Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1233495Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1233734Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1234102Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1234462Z     return mod(*inputs)
2025-08-26T20:28:24.1234747Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1235044Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1235322Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1235613Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1235889Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1236298Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1236631Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-08-26T20:28:24.1236983Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-08-26T20:28:24.1237411Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1237779Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1237902Z 
2025-08-26T20:28:24.1238339Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1238718Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1239024Z     return mod(*inputs)
2025-08-26T20:28:24.1239286Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1239572Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1239850Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1240130Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1240406Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1240708Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1241029Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-08-26T20:28:24.1241393Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-08-26T20:28:24.1241789Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1242132Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1242256Z 
2025-08-26T20:28:24.1242359Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1242711Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1243021Z     return mod(*inputs)
2025-08-26T20:28:24.1243275Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1243555Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1243828Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1244101Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1244359Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1244766Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1245081Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-26T20:28:24.1245405Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-26T20:28:24.1245764Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1246103Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1246226Z 
2025-08-26T20:28:24.1246331Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1246670Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1246977Z     return mod(*inputs)
2025-08-26T20:28:24.1247216Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1247502Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1247784Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1248057Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1248319Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1248647Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1248970Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-26T20:28:24.1249292Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-26T20:28:24.1249662Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1249993Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1250119Z 
2025-08-26T20:28:24.1250220Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1250559Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1250869Z     return mod(*inputs)
2025-08-26T20:28:24.1251157Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1251440Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1251725Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1251996Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1252259Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1252560Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1252915Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-26T20:28:24.1253243Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-26T20:28:24.1253613Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1253990Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1254109Z 
2025-08-26T20:28:24.1254210Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1254558Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1254871Z     return mod(*inputs)
2025-08-26T20:28:24.1255121Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1255399Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1255678Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1256010Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1256285Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1256591Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1256903Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-26T20:28:24.1257229Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-26T20:28:24.1257671Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1258019Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1258131Z 
2025-08-26T20:28:24.1258212Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1258420Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1258627Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1258859Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1259205Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1259514Z     return mod(*inputs)
2025-08-26T20:28:24.1259764Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1260051Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1260330Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1260605Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1260877Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1261178Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1261501Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-08-26T20:28:24.1261848Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-08-26T20:28:24.1262248Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1262593Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1262707Z 
2025-08-26T20:28:24.1262818Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1263171Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1263476Z     return mod(*inputs)
2025-08-26T20:28:24.1263734Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1264025Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1264341Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1264616Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1264889Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1265190Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1265516Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-08-26T20:28:24.1265950Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-08-26T20:28:24.1266350Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1266708Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1266833Z 
2025-08-26T20:28:24.1266933Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1267287Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1267598Z     return mod(*inputs)
2025-08-26T20:28:24.1267865Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1268151Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1268438Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1268711Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1268972Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1269273Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1269592Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-26T20:28:24.1269915Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-26T20:28:24.1270277Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1270689Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1270813Z 
2025-08-26T20:28:24.1270912Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1271253Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1271566Z     return mod(*inputs)
2025-08-26T20:28:24.1271808Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1272093Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1272376Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1272656Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1272918Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1273223Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1273539Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-26T20:28:24.1273867Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-26T20:28:24.1274229Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1274560Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1274680Z 
2025-08-26T20:28:24.1274777Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1275114Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1275420Z     return mod(*inputs)
2025-08-26T20:28:24.1275661Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1275944Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1276221Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1276498Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1276764Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1277099Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1277410Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-26T20:28:24.1277729Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-26T20:28:24.1278091Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1278420Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1278544Z 
2025-08-26T20:28:24.1278643Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1278984Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1279294Z     return mod(*inputs)
2025-08-26T20:28:24.1279545Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1279825Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1280107Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1280382Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1280648Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1280937Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1281249Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-26T20:28:24.1281568Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-26T20:28:24.1281929Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1282262Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1282375Z 
2025-08-26T20:28:24.1282455Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1282662Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1282915Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1283122Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1283321Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1283526Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1283729Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1283928Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1284124Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1284328Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1284531Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1284733Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1284928Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1285162Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1285509Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1285834Z     return mod(*inputs)
2025-08-26T20:28:24.1286084Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1286385Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1286673Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 197, in forward
2025-08-26T20:28:24.1286991Z     out = h + self.feed_forward.forward(self.ffn_norm(h))
2025-08-26T20:28:24.1287301Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 170, in forward
2025-08-26T20:28:24.1287597Z     return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-08-26T20:28:24.1287968Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1288319Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1288436Z 
2025-08-26T20:28:24.1288524Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1288727Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1288939Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1289146Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1289359Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1289615Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1289966Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1290282Z     return mod(*inputs)
2025-08-26T20:28:24.1290538Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1290821Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1291102Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1291384Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1291664Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1291972Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1292291Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-08-26T20:28:24.1292653Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-08-26T20:28:24.1293060Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1293408Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1293522Z 
2025-08-26T20:28:24.1293631Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1293972Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1294284Z     return mod(*inputs)
2025-08-26T20:28:24.1294539Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1294829Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1295101Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1295383Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1295655Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1295983Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1296299Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-08-26T20:28:24.1296654Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-08-26T20:28:24.1297055Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1297401Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1297516Z 
2025-08-26T20:28:24.1297623Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1297958Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1298270Z     return mod(*inputs)
2025-08-26T20:28:24.1298525Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1298811Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1299083Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1299363Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1299635Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1299932Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1300251Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-26T20:28:24.1300570Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-26T20:28:24.1300940Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1301281Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1301394Z 
2025-08-26T20:28:24.1301502Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1301839Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1302154Z     return mod(*inputs)
2025-08-26T20:28:24.1302433Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1302721Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1303003Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1303277Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1303548Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1303849Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1304165Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-26T20:28:24.1304488Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-26T20:28:24.1304856Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1305201Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1305317Z 
2025-08-26T20:28:24.1305429Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1305778Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1306081Z     return mod(*inputs)
2025-08-26T20:28:24.1306344Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1306633Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1306914Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1307184Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1307456Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1307757Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1308074Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-26T20:28:24.1308399Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-26T20:28:24.1309485Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1309834Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1309950Z 
2025-08-26T20:28:24.1310064Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1310417Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1310726Z     return mod(*inputs)
2025-08-26T20:28:24.1310984Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1311281Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1311572Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1311850Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1312129Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1312433Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1312759Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-26T20:28:24.1313085Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-26T20:28:24.1313451Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1313795Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1313918Z 
2025-08-26T20:28:24.1313997Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1314207Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1314404Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1314631Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1314976Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1315291Z     return mod(*inputs)
2025-08-26T20:28:24.1315542Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1315827Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1316141Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1316426Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1316703Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1317003Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1317336Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-08-26T20:28:24.1317697Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-08-26T20:28:24.1318103Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1318450Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1318567Z 
2025-08-26T20:28:24.1318673Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1319028Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1319348Z     return mod(*inputs)
2025-08-26T20:28:24.1319605Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1319892Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1320178Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1320465Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1320746Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1321044Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1321370Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-08-26T20:28:24.1321729Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-08-26T20:28:24.1322133Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1322515Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1322634Z 
2025-08-26T20:28:24.1322735Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1323080Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1323395Z     return mod(*inputs)
2025-08-26T20:28:24.1323646Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1323932Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1324206Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1324489Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1324766Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1325068Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1325382Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-26T20:28:24.1325717Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-26T20:28:24.1326090Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1326436Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1326550Z 
2025-08-26T20:28:24.1326659Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1326997Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1327312Z     return mod(*inputs)
2025-08-26T20:28:24.1327566Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1327852Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1328130Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1328412Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1328685Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1329035Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1329349Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-26T20:28:24.1329679Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-26T20:28:24.1330053Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1330398Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1330514Z 
2025-08-26T20:28:24.1330622Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1330963Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1331279Z     return mod(*inputs)
2025-08-26T20:28:24.1331533Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1331821Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1332096Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1332379Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1332648Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1332951Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1333275Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-26T20:28:24.1333597Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-26T20:28:24.1333970Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1334318Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1334433Z 
2025-08-26T20:28:24.1334544Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1334890Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1335232Z     return mod(*inputs)
2025-08-26T20:28:24.1335488Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1335779Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1336062Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1336341Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1336616Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1336918Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1337239Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-26T20:28:24.1337559Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-26T20:28:24.1337940Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1338280Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1338393Z 
2025-08-26T20:28:24.1338482Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1338690Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1338886Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1339086Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1339282Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1339479Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1339667Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1339865Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1340063Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1340259Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1340447Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1340643Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1340838Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1341061Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1341427Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1341739Z     return mod(*inputs)
2025-08-26T20:28:24.1341984Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1342263Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1342528Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 197, in forward
2025-08-26T20:28:24.1342828Z     out = h + self.feed_forward.forward(self.ffn_norm(h))
2025-08-26T20:28:24.1343120Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 170, in forward
2025-08-26T20:28:24.1343414Z     return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-08-26T20:28:24.1343771Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1344099Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1344219Z 
2025-08-26T20:28:24.1344297Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1344501Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1344704Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1344893Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1345092Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1345315Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1345651Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1345952Z     return mod(*inputs)
2025-08-26T20:28:24.1346200Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1346482Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1346759Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1347034Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1347299Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1347628Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1347944Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-08-26T20:28:24.1348294Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-08-26T20:28:24.1348679Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1349016Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1349137Z 
2025-08-26T20:28:24.1349236Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1349577Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1349878Z     return mod(*inputs)
2025-08-26T20:28:24.1350117Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1350398Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1350675Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1350953Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1351213Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1351505Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1351818Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-08-26T20:28:24.1352163Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-08-26T20:28:24.1352556Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1352883Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1353003Z 
2025-08-26T20:28:24.1353106Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1353444Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1353750Z     return mod(*inputs)
2025-08-26T20:28:24.1354013Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1354295Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1354570Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1354839Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1355098Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1355393Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1355705Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-26T20:28:24.1356029Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-26T20:28:24.1356397Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1356725Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1356850Z 
2025-08-26T20:28:24.1356949Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1357290Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1357595Z     return mod(*inputs)
2025-08-26T20:28:24.1357836Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1358121Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1358397Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1358668Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1358935Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1359222Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1359535Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-26T20:28:24.1359862Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-26T20:28:24.1360297Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1360640Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1360761Z 
2025-08-26T20:28:24.1360861Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1361200Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1361508Z     return mod(*inputs)
2025-08-26T20:28:24.1361760Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1362029Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1362313Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1362586Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1362851Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1363137Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1363455Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-26T20:28:24.1363775Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-26T20:28:24.1364136Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1364471Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1364582Z 
2025-08-26T20:28:24.1364681Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1365020Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1365323Z     return mod(*inputs)
2025-08-26T20:28:24.1365575Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1365908Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1366192Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1366476Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1366824Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1367139Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1367439Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-26T20:28:24.1367763Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-26T20:28:24.1368124Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1368463Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1368576Z 
2025-08-26T20:28:24.1368867Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1369076Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1369281Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1369506Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1369846Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1370147Z     return mod(*inputs)
2025-08-26T20:28:24.1370398Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1370682Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1370963Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1371230Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1371504Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1371798Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1372112Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-08-26T20:28:24.1372453Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-08-26T20:28:24.1372848Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1373235Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1373352Z 
2025-08-26T20:28:24.1373462Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1373804Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1374106Z     return mod(*inputs)
2025-08-26T20:28:24.1374357Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1374637Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1374912Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1375176Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1375438Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1375726Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1376038Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-08-26T20:28:24.1376386Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-08-26T20:28:24.1376768Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1377111Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1377231Z 
2025-08-26T20:28:24.1377331Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1377666Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1377968Z     return mod(*inputs)
2025-08-26T20:28:24.1378209Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1378494Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1378766Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1379039Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1379297Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1379635Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1379949Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-26T20:28:24.1380268Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-26T20:28:24.1380621Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1380954Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1381074Z 
2025-08-26T20:28:24.1381170Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1381507Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1381810Z     return mod(*inputs)
2025-08-26T20:28:24.1382051Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1382335Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1382609Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1382881Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1383137Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1383434Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1383744Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-26T20:28:24.1384062Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-26T20:28:24.1384422Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1384752Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1384873Z 
2025-08-26T20:28:24.1384972Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1385313Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1385652Z     return mod(*inputs)
2025-08-26T20:28:24.1385895Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1386182Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1386458Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1386734Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1387002Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1387294Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1387609Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-26T20:28:24.1387933Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-26T20:28:24.1388297Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1388627Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1388748Z 
2025-08-26T20:28:24.1388851Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1389190Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1389498Z     return mod(*inputs)
2025-08-26T20:28:24.1389745Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1390021Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1390299Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1390575Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1390844Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1391130Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1391445Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-26T20:28:24.1391771Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-26T20:28:24.1392160Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1392498Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1392611Z 
2025-08-26T20:28:24.1392690Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1392897Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1393103Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1393300Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1393486Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1393684Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1393881Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1394075Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1394261Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1394453Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1394652Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1394845Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1395036Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1395260Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1395596Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1395902Z     return mod(*inputs)
2025-08-26T20:28:24.1396145Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1396430Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1396706Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 197, in forward
2025-08-26T20:28:24.1397009Z     out = h + self.feed_forward.forward(self.ffn_norm(h))
2025-08-26T20:28:24.1397303Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 170, in forward
2025-08-26T20:28:24.1397591Z     return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-08-26T20:28:24.1397981Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1398318Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1398432Z 
2025-08-26T20:28:24.1398518Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1398712Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1398914Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1399110Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1399309Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1399524Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1399860Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1400169Z     return mod(*inputs)
2025-08-26T20:28:24.1400416Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1400697Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1400964Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1401238Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1401506Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1401798Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1402104Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-08-26T20:28:24.1402451Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-08-26T20:28:24.1402842Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1403180Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1403292Z 
2025-08-26T20:28:24.1403398Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1403725Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1404032Z     return mod(*inputs)
2025-08-26T20:28:24.1404504Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1404790Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1405053Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1405330Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1405601Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1405900Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1406203Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-08-26T20:28:24.1406550Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-08-26T20:28:24.1406938Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1407275Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1407392Z 
2025-08-26T20:28:24.1407498Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1407826Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1408125Z     return mod(*inputs)
2025-08-26T20:28:24.1408370Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1408649Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1408912Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1409180Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1409448Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1409741Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1410051Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-26T20:28:24.1410366Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-26T20:28:24.1410777Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1411117Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1411231Z 
2025-08-26T20:28:24.1411338Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1411670Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1411980Z     return mod(*inputs)
2025-08-26T20:28:24.1412227Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1412506Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1416208Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1416509Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1416794Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1417109Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1417432Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-26T20:28:24.1417771Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-26T20:28:24.1418150Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1418498Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1418613Z 
2025-08-26T20:28:24.1418727Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1419063Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1419378Z     return mod(*inputs)
2025-08-26T20:28:24.1419668Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1419950Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1420231Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1420514Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1420838Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1421138Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1421458Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-26T20:28:24.1421791Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-26T20:28:24.1422166Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1422509Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1422625Z 
2025-08-26T20:28:24.1422731Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1423077Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1423387Z     return mod(*inputs)
2025-08-26T20:28:24.1423641Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1423931Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1424217Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1424501Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1424774Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1425077Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1425387Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-26T20:28:24.1425717Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-26T20:28:24.1426089Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1426434Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1426547Z 
2025-08-26T20:28:24.1426627Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1426866Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1427079Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1427309Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1427653Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1427962Z     return mod(*inputs)
2025-08-26T20:28:24.1428216Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1428506Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1428787Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1429061Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1429403Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1429708Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1430026Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-08-26T20:28:24.1430385Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-08-26T20:28:24.1430793Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1431136Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1431250Z 
2025-08-26T20:28:24.1431361Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1431709Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1432014Z     return mod(*inputs)
2025-08-26T20:28:24.1432264Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1432556Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1432842Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1433118Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1433397Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1433733Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1434057Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-08-26T20:28:24.1434410Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-08-26T20:28:24.1434798Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1435143Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1435264Z 
2025-08-26T20:28:24.1435366Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1435714Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1436019Z     return mod(*inputs)
2025-08-26T20:28:24.1436270Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1436564Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1436851Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1437129Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1437395Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1459946Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1460320Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-26T20:28:24.1460679Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-26T20:28:24.1461095Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1461468Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1461603Z 
2025-08-26T20:28:24.1461718Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1462086Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1462551Z     return mod(*inputs)
2025-08-26T20:28:24.1462826Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1463137Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1463436Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1463734Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1464030Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1464341Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1464676Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-26T20:28:24.1465070Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-26T20:28:24.1465459Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1465869Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1466003Z 
2025-08-26T20:28:24.1466113Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1466482Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1466814Z     return mod(*inputs)
2025-08-26T20:28:24.1467075Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1467361Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1467648Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1467936Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1468218Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1468520Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1468849Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-26T20:28:24.1469187Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-26T20:28:24.1469659Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1470013Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1470131Z 
2025-08-26T20:28:24.1470238Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1470598Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1470924Z     return mod(*inputs)
2025-08-26T20:28:24.1471186Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1471474Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1471768Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1472062Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1472341Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1472651Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1472973Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-26T20:28:24.1473306Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-26T20:28:24.1473692Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1474041Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1474157Z 
2025-08-26T20:28:24.1474242Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1474459Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1474672Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1474879Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1475071Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1475275Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1475476Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1475704Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1475902Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1476137Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1476492Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1476811Z     return mod(*inputs)
2025-08-26T20:28:24.1477069Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1477354Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1477641Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1477928Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1478315Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1478658Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1478785Z 
2025-08-26T20:28:24.1478867Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1479075Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1479283Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1479479Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1479712Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1480064Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1480381Z     return mod(*inputs)
2025-08-26T20:28:24.1480638Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1480920Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1481199Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 197, in forward
2025-08-26T20:28:24.1481516Z     out = h + self.feed_forward.forward(self.ffn_norm(h))
2025-08-26T20:28:24.1481816Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 170, in forward
2025-08-26T20:28:24.1482111Z     return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-08-26T20:28:24.1482516Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1482866Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1482990Z 
2025-08-26T20:28:24.1483078Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1483296Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1483507Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1483708Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1483919Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1484155Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1484516Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1484833Z     return mod(*inputs)
2025-08-26T20:28:24.1485093Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1485390Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1485680Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1485967Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1486241Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1486555Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1486889Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-08-26T20:28:24.1487266Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-08-26T20:28:24.1487679Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1488036Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1488165Z 
2025-08-26T20:28:24.1488270Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1488628Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1488959Z     return mod(*inputs)
2025-08-26T20:28:24.1489210Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1489498Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1489777Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1490056Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1490321Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1490628Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1490951Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-08-26T20:28:24.1491322Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-08-26T20:28:24.1491725Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1492062Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1492187Z 
2025-08-26T20:28:24.1492289Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1492635Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1492947Z     return mod(*inputs)
2025-08-26T20:28:24.1493193Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1493479Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1493762Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1494046Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1494313Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1494616Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1494938Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-26T20:28:24.1495272Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-26T20:28:24.1495701Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1496044Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1496171Z 
2025-08-26T20:28:24.1496274Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1496624Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1496940Z     return mod(*inputs)
2025-08-26T20:28:24.1497196Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1497478Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1497762Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1498047Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1498321Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1498621Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1498945Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-26T20:28:24.1499280Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-26T20:28:24.1499655Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1499996Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1500119Z 
2025-08-26T20:28:24.1500224Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1500575Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1500893Z     return mod(*inputs)
2025-08-26T20:28:24.1501152Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1501433Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1501735Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1502020Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1502294Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1502588Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1502914Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-26T20:28:24.1503246Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-26T20:28:24.1503618Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1503983Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1504100Z 
2025-08-26T20:28:24.1504203Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1504550Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1504862Z     return mod(*inputs)
2025-08-26T20:28:24.1505114Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1505393Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1505670Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1505948Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1506223Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1506523Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1506833Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-26T20:28:24.1507163Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-26T20:28:24.1507532Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1507877Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1507993Z 
2025-08-26T20:28:24.1508075Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1508316Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1508526Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1508758Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1509101Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1509418Z     return mod(*inputs)
2025-08-26T20:28:24.1509670Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1509959Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1510241Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1510521Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1510797Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1511104Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1511429Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-08-26T20:28:24.1511779Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-08-26T20:28:24.1512186Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1512530Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1512644Z 
2025-08-26T20:28:24.1512756Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1513102Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1513404Z     return mod(*inputs)
2025-08-26T20:28:24.1513660Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1513953Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1514234Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1514529Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1514807Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1515111Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1515431Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-08-26T20:28:24.1515787Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-08-26T20:28:24.1516183Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1516530Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1516653Z 
2025-08-26T20:28:24.1516774Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1517123Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1517431Z     return mod(*inputs)
2025-08-26T20:28:24.1517685Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1517972Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1518254Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1518534Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1518798Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1519096Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1519414Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-26T20:28:24.1519742Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-26T20:28:24.1520108Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1520450Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1520571Z 
2025-08-26T20:28:24.1520672Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1521319Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1521643Z     return mod(*inputs)
2025-08-26T20:28:24.1521890Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1522182Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1522464Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1522753Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1523023Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1523331Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1523663Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-26T20:28:24.1524007Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-26T20:28:24.1524377Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1524732Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1524858Z 
2025-08-26T20:28:24.1524961Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1525312Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1525629Z     return mod(*inputs)
2025-08-26T20:28:24.1525874Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1526161Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1526442Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1526724Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1526989Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1527295Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1527633Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-26T20:28:24.1527962Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-26T20:28:24.1528333Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1528665Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1528788Z 
2025-08-26T20:28:24.1528888Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1529233Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1529549Z     return mod(*inputs)
2025-08-26T20:28:24.1529792Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1530095Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1530374Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1530651Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1530916Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1531217Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1531538Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-26T20:28:24.1531862Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-26T20:28:24.1532229Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1532563Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1532686Z 
2025-08-26T20:28:24.1532768Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1532978Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1533185Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1533383Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1533587Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1533787Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1533990Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1534214Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1534422Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1534620Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1534823Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1535015Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1535216Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1535448Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1535798Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1536114Z     return mod(*inputs)
2025-08-26T20:28:24.1536360Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1536650Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1536930Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 197, in forward
2025-08-26T20:28:24.1537236Z     out = h + self.feed_forward.forward(self.ffn_norm(h))
2025-08-26T20:28:24.1537533Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 170, in forward
2025-08-26T20:28:24.1537831Z     return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-08-26T20:28:24.1538199Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1538541Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1538655Z 
2025-08-26T20:28:24.1538742Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1538937Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1539141Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1539347Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1539549Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1539770Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1540117Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1540450Z     return mod(*inputs)
2025-08-26T20:28:24.1540700Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1540979Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1541257Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1541539Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1541811Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1542107Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1542426Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-08-26T20:28:24.1542806Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-08-26T20:28:24.1543205Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1543555Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1543671Z 
2025-08-26T20:28:24.1543776Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1544120Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1544438Z     return mod(*inputs)
2025-08-26T20:28:24.1544691Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1544969Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1545251Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1545532Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1545807Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1546112Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1546434Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-08-26T20:28:24.1546794Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-08-26T20:28:24.1547240Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1547590Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1547707Z 
2025-08-26T20:28:24.1547822Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1548165Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1548480Z     return mod(*inputs)
2025-08-26T20:28:24.1548735Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1549026Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1549299Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1549586Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1549861Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1550172Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1550489Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-26T20:28:24.1550829Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-26T20:28:24.1551204Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1551552Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1551668Z 
2025-08-26T20:28:24.1551776Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1552119Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1552437Z     return mod(*inputs)
2025-08-26T20:28:24.1552691Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1552982Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1553280Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1553564Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1553839Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1554133Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1554453Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-26T20:28:24.1554784Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-26T20:28:24.1555151Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1555513Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1555629Z 
2025-08-26T20:28:24.1555731Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1556076Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1556389Z     return mod(*inputs)
2025-08-26T20:28:24.1556645Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1556926Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1557205Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1557484Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1557758Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1558050Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1558369Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-26T20:28:24.1558700Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-26T20:28:24.1559071Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1559417Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1559533Z 
2025-08-26T20:28:24.1559632Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1560009Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1560320Z     return mod(*inputs)
2025-08-26T20:28:24.1560569Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1560847Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1561123Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1561441Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1561702Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1561797Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1561965Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-26T20:28:24.1562060Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-26T20:28:24.1562274Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1562353Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1562356Z 
2025-08-26T20:28:24.1562433Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1562517Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1562590Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1562689Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1562877Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1562942Z     return mod(*inputs)
2025-08-26T20:28:24.1563093Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1563169Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1563306Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1563398Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1563541Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1563643Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1563805Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-08-26T20:28:24.1563929Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-08-26T20:28:24.1564148Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1564214Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1564217Z 
2025-08-26T20:28:24.1564342Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1564528Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1564598Z     return mod(*inputs)
2025-08-26T20:28:24.1564739Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1564820Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1564975Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1565046Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1565192Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1565283Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1565449Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-08-26T20:28:24.1565578Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-08-26T20:28:24.1565841Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1565919Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1565922Z 
2025-08-26T20:28:24.1566019Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1566264Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1566342Z     return mod(*inputs)
2025-08-26T20:28:24.1566486Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1566574Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1566715Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1566787Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1566933Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1567027Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1567196Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-26T20:28:24.1567292Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-26T20:28:24.1567509Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1567580Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1567583Z 
2025-08-26T20:28:24.1567680Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1567872Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1567937Z     return mod(*inputs)
2025-08-26T20:28:24.1568084Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1568161Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1568300Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1568382Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1568523Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1568623Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1568815Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-26T20:28:24.1568914Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-26T20:28:24.1569132Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1569201Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1569203Z 
2025-08-26T20:28:24.1569308Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1569493Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1569556Z     return mod(*inputs)
2025-08-26T20:28:24.1569706Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1569814Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1569964Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1570033Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1570173Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1570272Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1570432Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-26T20:28:24.1570535Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-26T20:28:24.1570739Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1570811Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1570814Z 
2025-08-26T20:28:24.1570913Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1571095Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1571166Z     return mod(*inputs)
2025-08-26T20:28:24.1571304Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1571388Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1571559Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1571632Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1571779Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1571873Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1572040Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-26T20:28:24.1572135Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-26T20:28:24.1572347Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1572423Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1572426Z 
2025-08-26T20:28:24.1572500Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1572586Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1572660Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1572734Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1572812Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1572882Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1572958Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1573028Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1573098Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1573204Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1573387Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1573457Z     return mod(*inputs)
2025-08-26T20:28:24.1573600Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1573676Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1573822Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1573908Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1574127Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1574195Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1574198Z 
2025-08-26T20:28:24.1574270Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1574350Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1574421Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1574500Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1574597Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1574777Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1574874Z     return mod(*inputs)
2025-08-26T20:28:24.1575016Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1575102Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1575247Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 197, in forward
2025-08-26T20:28:24.1575349Z     out = h + self.feed_forward.forward(self.ffn_norm(h))
2025-08-26T20:28:24.1575498Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 170, in forward
2025-08-26T20:28:24.1575588Z     return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-08-26T20:28:24.1575804Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1575871Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1575874Z 
2025-08-26T20:28:24.1575955Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1576026Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1576100Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1576182Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1576252Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1576358Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1576573Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1576637Z     return mod(*inputs)
2025-08-26T20:28:24.1576788Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1576865Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1577010Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1577082Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1577222Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1577322Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1577486Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-08-26T20:28:24.1577616Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-08-26T20:28:24.1577822Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1577893Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1577896Z 
2025-08-26T20:28:24.1578004Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1578184Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1578253Z     return mod(*inputs)
2025-08-26T20:28:24.1578394Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1578469Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1578612Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1578685Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1578832Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1578922Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1579101Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-08-26T20:28:24.1579230Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-08-26T20:28:24.1579438Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1579513Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1579516Z 
2025-08-26T20:28:24.1579614Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1579800Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1579861Z     return mod(*inputs)
2025-08-26T20:28:24.1580000Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1580099Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1580239Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1580315Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1580458Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1580548Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1580718Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-26T20:28:24.1580815Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-26T20:28:24.1581030Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1581099Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1581101Z 
2025-08-26T20:28:24.1581197Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1581387Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1581452Z     return mod(*inputs)
2025-08-26T20:28:24.1581599Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1581675Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1581845Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1581924Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1582062Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1582159Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1582318Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-26T20:28:24.1582413Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-26T20:28:24.1582626Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1582694Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1582697Z 
2025-08-26T20:28:24.1582799Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1582980Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1583057Z     return mod(*inputs)
2025-08-26T20:28:24.1583197Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1583274Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1583420Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1583490Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1583636Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1583727Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1583889Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-26T20:28:24.1583996Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-26T20:28:24.1584199Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1584290Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1584292Z 
2025-08-26T20:28:24.1584389Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1584572Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1584641Z     return mod(*inputs)
2025-08-26T20:28:24.1584782Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1584863Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1585005Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1585075Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1585239Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1585329Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1585498Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-26T20:28:24.1585592Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-26T20:28:24.1585798Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1585873Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1585876Z 
2025-08-26T20:28:24.1585949Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1586033Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1586105Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1586211Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1586392Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1586455Z     return mod(*inputs)
2025-08-26T20:28:24.1586603Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1586679Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1586829Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1586931Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1587073Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1587174Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1587338Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-08-26T20:28:24.1587470Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-08-26T20:28:24.1587677Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1587744Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1587748Z 
2025-08-26T20:28:24.1587854Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1588036Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1588107Z     return mod(*inputs)
2025-08-26T20:28:24.1588247Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1588323Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1588470Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1588538Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1588682Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1588772Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1588933Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-08-26T20:28:24.1589061Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-08-26T20:28:24.1589270Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1589346Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1589366Z 
2025-08-26T20:28:24.1589466Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1589660Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1589725Z     return mod(*inputs)
2025-08-26T20:28:24.1589866Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1589951Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1590093Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1590170Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1590310Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1590418Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1590585Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-26T20:28:24.1590680Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-26T20:28:24.1590899Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1590968Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1590971Z 
2025-08-26T20:28:24.1591069Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1591259Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1591321Z     return mod(*inputs)
2025-08-26T20:28:24.1591469Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1591544Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1591682Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1591761Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1591898Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1591999Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1592191Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-26T20:28:24.1592287Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-26T20:28:24.1592498Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1592565Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1592567Z 
2025-08-26T20:28:24.1592671Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1592849Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1592921Z     return mod(*inputs)
2025-08-26T20:28:24.1593061Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1593137Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1593281Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1593352Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1593500Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1593591Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1593750Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-26T20:28:24.1593852Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-26T20:28:24.1594056Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1594128Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1594130Z 
2025-08-26T20:28:24.1594230Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1594411Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1594482Z     return mod(*inputs)
2025-08-26T20:28:24.1594622Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1594731Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1594869Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1594939Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1595086Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1595175Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1595343Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-26T20:28:24.1595437Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-26T20:28:24.1595661Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1595737Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1595739Z 
2025-08-26T20:28:24.1595815Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1595898Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1595974Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1596055Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1596128Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1596202Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1596282Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1596356Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1596431Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1596508Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1596582Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1596664Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1596739Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1596836Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1597028Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1597094Z     return mod(*inputs)
2025-08-26T20:28:24.1597272Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1597349Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1597489Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 197, in forward
2025-08-26T20:28:24.1597597Z     out = h + self.feed_forward.forward(self.ffn_norm(h))
2025-08-26T20:28:24.1597737Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 170, in forward
2025-08-26T20:28:24.1597837Z     return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-08-26T20:28:24.1598052Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1598130Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1598133Z 
2025-08-26T20:28:24.1598207Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1598280Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1598359Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1598430Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1598511Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1598608Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1598790Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1598862Z     return mod(*inputs)
2025-08-26T20:28:24.1599001Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1599083Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1599224Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1599296Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1599444Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1599535Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1599722Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-08-26T20:28:24.1599847Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-08-26T20:28:24.1600055Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1600131Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1600134Z 
2025-08-26T20:28:24.1600232Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1600421Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1600484Z     return mod(*inputs)
2025-08-26T20:28:24.1600625Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1600747Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1600889Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1600967Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1601108Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1601198Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1601367Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-08-26T20:28:24.1601485Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-08-26T20:28:24.1601696Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1601762Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1601765Z 
2025-08-26T20:28:24.1601866Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1602049Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1602113Z     return mod(*inputs)
2025-08-26T20:28:24.1602261Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1602339Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1602560Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1602632Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1602773Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1602869Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1603030Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-26T20:28:24.1603134Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-26T20:28:24.1603340Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1603408Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1603410Z 
2025-08-26T20:28:24.1603516Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1603700Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1603773Z     return mod(*inputs)
2025-08-26T20:28:24.1603912Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1603990Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1604141Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1604215Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1604365Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1604456Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1604618Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-26T20:28:24.1604725Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-26T20:28:24.1604932Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1605028Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1605031Z 
2025-08-26T20:28:24.1605131Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1605322Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1605384Z     return mod(*inputs)
2025-08-26T20:28:24.1605526Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1605609Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1605749Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1605825Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1605981Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1606068Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1606237Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-26T20:28:24.1606336Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-26T20:28:24.1606550Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1606617Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1606620Z 
2025-08-26T20:28:24.1606717Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1606906Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1606969Z     return mod(*inputs)
2025-08-26T20:28:24.1607114Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1607190Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1607331Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1607411Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1607549Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1607677Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1607840Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-26T20:28:24.1607937Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-26T20:28:24.1608152Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1608221Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1608223Z 
2025-08-26T20:28:24.1608309Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1608382Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1608466Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1608564Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1608750Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1608822Z     return mod(*inputs)
2025-08-26T20:28:24.1608967Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1609051Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1609191Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1609261Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1609406Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1609496Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1609663Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-08-26T20:28:24.1609785Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-08-26T20:28:24.1609993Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1610067Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1610085Z 
2025-08-26T20:28:24.1610185Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1610375Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1610440Z     return mod(*inputs)
2025-08-26T20:28:24.1610578Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1610664Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1610803Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1610880Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1611022Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1611131Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1611302Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-08-26T20:28:24.1611422Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-08-26T20:28:24.1611643Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1611710Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1611713Z 
2025-08-26T20:28:24.1611816Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1612001Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1612066Z     return mod(*inputs)
2025-08-26T20:28:24.1612215Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1612291Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1612438Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1612509Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1612651Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1612752Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1612949Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-26T20:28:24.1613054Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-26T20:28:24.1613259Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1613325Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1613327Z 
2025-08-26T20:28:24.1613432Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1613611Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1613680Z     return mod(*inputs)
2025-08-26T20:28:24.1613824Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1613899Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1614046Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1614118Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1614264Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1614353Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1614516Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-26T20:28:24.1614617Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-26T20:28:24.1614824Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1614896Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1614898Z 
2025-08-26T20:28:24.1614996Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1615184Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1615245Z     return mod(*inputs)
2025-08-26T20:28:24.1615399Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1615480Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1615620Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1615694Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1615830Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1615919Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1616087Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-26T20:28:24.1616182Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-26T20:28:24.1616406Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1616471Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1616474Z 
2025-08-26T20:28:24.1616570Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1616761Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1616825Z     return mod(*inputs)
2025-08-26T20:28:24.1616969Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1617044Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1617183Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1617261Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1617401Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-26T20:28:24.1617501Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-26T20:28:24.1617662Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-26T20:28:24.1617757Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-26T20:28:24.1617974Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1618071Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1618074Z 
2025-08-26T20:28:24.1618160Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1618236Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1618318Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1618391Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1618464Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1618545Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1618617Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1618690Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1618771Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1618870Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1619061Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1619128Z     return mod(*inputs)
2025-08-26T20:28:24.1619270Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1619356Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1619497Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-26T20:28:24.1619576Z     h = x + self.attention.forward(
2025-08-26T20:28:24.1619786Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1619860Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1619863Z 
2025-08-26T20:28:24.1619935Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1620007Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1620088Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1620160Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1620263Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1620443Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1620523Z     return mod(*inputs)
2025-08-26T20:28:24.1620676Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-26T20:28:24.1620750Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-26T20:28:24.1620903Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 197, in forward
2025-08-26T20:28:24.1621004Z     out = h + self.feed_forward.forward(self.ffn_norm(h))
2025-08-26T20:28:24.1621147Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 170, in forward
2025-08-26T20:28:24.1621243Z     return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-08-26T20:28:24.1621455Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1621546Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1621548Z 
2025-08-26T20:28:24.1621621Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1621694Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1621773Z cudagraph partition due to non gpu ops
2025-08-26T20:28:24.1621872Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1622061Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1622125Z     return mod(*inputs)
2025-08-26T20:28:24.1622266Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 244, in forward
2025-08-26T20:28:24.1622392Z     output = self.output(h[:, -1, :])  # only compute last logits
2025-08-26T20:28:24.1622597Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1622672Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1622675Z 
2025-08-26T20:28:24.1622771Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1622949Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1623023Z     return mod(*inputs)
2025-08-26T20:28:24.1623190Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 244, in forward
2025-08-26T20:28:24.1623312Z     output = self.output(h[:, -1, :])  # only compute last logits
2025-08-26T20:28:24.1623520Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1623595Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1623598Z 
2025-08-26T20:28:24.1623697Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1623880Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1623950Z     return mod(*inputs)
2025-08-26T20:28:24.1624093Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 244, in forward
2025-08-26T20:28:24.1624208Z     output = self.output(h[:, -1, :])  # only compute last logits
2025-08-26T20:28:24.1624414Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1624483Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1624486Z 
2025-08-26T20:28:24.1624589Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:28:24.1624768Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:28:24.1624834Z     return mod(*inputs)
2025-08-26T20:28:24.1624976Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 245, in forward
2025-08-26T20:28:24.1625046Z     return output.float()
2025-08-26T20:28:24.1625259Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-26T20:28:24.1625327Z     return func(*args, **kwargs)
2025-08-26T20:28:24.1625329Z 
2025-08-26T20:28:26.2346446Z 
2025-08-26T20:28:26.4231323Z running benchmark:   0% 0/50 [00:00<?, ?it/s]
2025-08-26T20:28:26.6052307Z running benchmark:   4% 2/50 [00:00<00:04, 10.57it/s]
2025-08-26T20:28:26.7873552Z running benchmark:   8% 4/50 [00:00<00:04, 10.81it/s]
2025-08-26T20:28:26.9694521Z running benchmark:  12% 6/50 [00:00<00:04, 10.89it/s]
2025-08-26T20:28:27.1521021Z running benchmark:  16% 8/50 [00:00<00:03, 10.93it/s]
2025-08-26T20:28:27.3344895Z running benchmark:  20% 10/50 [00:00<00:03, 10.93it/s]
2025-08-26T20:28:27.5156232Z running benchmark:  24% 12/50 [00:01<00:03, 10.94it/s]
2025-08-26T20:28:27.6973792Z running benchmark:  28% 14/50 [00:01<00:03, 10.98it/s]
2025-08-26T20:28:27.8795351Z running benchmark:  32% 16/50 [00:01<00:03, 10.98it/s]
2025-08-26T20:28:28.0611583Z running benchmark:  36% 18/50 [00:01<00:02, 10.98it/s]
2025-08-26T20:28:28.2426734Z running benchmark:  40% 20/50 [00:01<00:02, 10.99it/s]
2025-08-26T20:28:28.4237663Z running benchmark:  44% 22/50 [00:02<00:02, 11.00it/s]
2025-08-26T20:28:28.6056560Z running benchmark:  48% 24/50 [00:02<00:02, 11.01it/s]
2025-08-26T20:28:28.7880997Z running benchmark:  52% 26/50 [00:02<00:02, 11.01it/s]
2025-08-26T20:28:28.9695953Z running benchmark:  56% 28/50 [00:02<00:02, 10.99it/s]
2025-08-26T20:28:29.1526281Z running benchmark:  60% 30/50 [00:02<00:01, 11.00it/s]
2025-08-26T20:28:29.3348357Z running benchmark:  64% 32/50 [00:02<00:01, 10.98it/s]
2025-08-26T20:28:29.5181191Z running benchmark:  68% 34/50 [00:03<00:01, 10.98it/s]
2025-08-26T20:28:29.7008273Z running benchmark:  72% 36/50 [00:03<00:01, 10.96it/s]
2025-08-26T20:28:29.8816474Z running benchmark:  76% 38/50 [00:03<00:01, 10.95it/s]
2025-08-26T20:28:30.0624773Z running benchmark:  80% 40/50 [00:03<00:00, 10.99it/s]
2025-08-26T20:28:30.2443052Z running benchmark:  84% 42/50 [00:03<00:00, 11.01it/s]
2025-08-26T20:28:30.4261057Z running benchmark:  88% 44/50 [00:04<00:00, 11.01it/s]
2025-08-26T20:28:30.6094504Z running benchmark:  92% 46/50 [00:04<00:00, 11.00it/s]
2025-08-26T20:28:30.7912210Z running benchmark:  96% 48/50 [00:04<00:00, 10.98it/s]
2025-08-26T20:28:30.7912753Z running benchmark: 100% 50/50 [00:04<00:00, 10.98it/s]
2025-08-26T20:28:30.7913241Z running benchmark: 100% 50/50 [00:04<00:00, 10.97it/s]
2025-08-26T20:28:30.9344258Z 9.095x
2025-08-26T20:28:30.9345468Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:28:31.9597296Z + cat /var/lib/jenkins/workspace/test/test-reports/inductor_inference_llama_inductor_amp_static_cpu_smoketest.csv
2025-08-26T20:28:31.9612786Z 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
2025-08-26T20:28:31.9613445Z cpu,llama,32,9.094613,8.932400,26.881269,0.979444,780.686950,797.071360,1062,2,0,0,0,0,2
2025-08-26T20:28:31.9614083Z + 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
2025-08-26T20:28:32.2092347Z llama                              9.094613
2025-08-26T20:28:32.2448815Z + IFS=,
2025-08-26T20:28:32.2449035Z + read -r -a model_cfg
2025-08-26T20:28:32.2449429Z + local model_name=timm_regnet
2025-08-26T20:28:32.2449651Z + local data_type=amp
2025-08-26T20:28:32.2449873Z + local speedup_target=1.12734073
2025-08-26T20:28:32.2450097Z + local backend=inductor
2025-08-26T20:28:32.2450292Z + [[ cpp == \c\p\p ]]
2025-08-26T20:28:32.2450502Z + export TORCHINDUCTOR_CPP_WRAPPER=1
2025-08-26T20:28:32.2450742Z + TORCHINDUCTOR_CPP_WRAPPER=1
2025-08-26T20:28:32.2451220Z + local output_name=/var/lib/jenkins/workspace/test/test-reports/inductor_inference_timm_regnet_inductor_amp_static_cpu_smoketest.csv
2025-08-26T20:28:32.2451668Z + [[ static == \d\y\n\a\m\i\c ]]
2025-08-26T20:28:32.2452482Z + taskset -c 0-93 python benchmarks/dynamo/torchbench.py --inference --performance --amp -dcpu -n50 --only timm_regnet --freezing --timeout 9000 --inductor --output /var/lib/jenkins/workspace/test/test-reports/inductor_inference_timm_regnet_inductor_amp_static_cpu_smoketest.csv
2025-08-26T20:28:34.2865078Z 
2025-08-26T20:28:35.4993435Z loading model: 0it [00:00, ?it/s]
2025-08-26T20:28:35.4993710Z 
2025-08-26T20:28:35.6170132Z model.safetensors:   0% 0.00/208M [00:00<?, ?B/s]
2025-08-26T20:28:35.6170343Z 
2025-08-26T20:28:35.7334783Z model.safetensors:  25% 52.4M/208M [00:00<00:00, 446MB/s]
2025-08-26T20:28:35.7335123Z 
2025-08-26T20:28:35.8476906Z model.safetensors:  56% 115M/208M [00:00<00:00, 501MB/s] 
2025-08-26T20:28:35.8477214Z 
2025-08-26T20:28:35.9077955Z model.safetensors:  86% 178M/208M [00:00<00:00, 524MB/s]
2025-08-26T20:28:35.9078441Z model.safetensors: 100% 208M/208M [00:00<00:00, 509MB/s]
2025-08-26T20:28:36.4099779Z 
2025-08-26T20:28:36.4100474Z loading model: 0it [00:02, ?it/s]
2025-08-26T20:28:36.4101216Z cpu  eval  timm_regnet                        
2025-08-26T20:28:39.3495922Z skipping cudagraphs due to cpp wrapper enabled
2025-08-26T20:28:54.8000498Z 
2025-08-26T20:28:54.9479848Z running benchmark:   0% 0/50 [00:00<?, ?it/s]
2025-08-26T20:28:55.0845527Z running benchmark:   2% 1/50 [00:00<00:07,  6.74it/s]
2025-08-26T20:28:55.2202809Z running benchmark:   4% 2/50 [00:00<00:06,  7.07it/s]
2025-08-26T20:28:55.3562255Z running benchmark:   6% 3/50 [00:00<00:06,  7.20it/s]
2025-08-26T20:28:55.5195572Z running benchmark:   8% 4/50 [00:00<00:06,  7.26it/s]
2025-08-26T20:28:55.6556734Z running benchmark:  10% 5/50 [00:00<00:06,  6.81it/s]
2025-08-26T20:28:55.7907088Z running benchmark:  12% 6/50 [00:00<00:06,  6.98it/s]
2025-08-26T20:28:55.9260517Z running benchmark:  14% 7/50 [00:00<00:06,  7.11it/s]
2025-08-26T20:28:56.0599899Z running benchmark:  16% 8/50 [00:01<00:05,  7.20it/s]
2025-08-26T20:28:56.1944099Z running benchmark:  18% 9/50 [00:01<00:05,  7.28it/s]
2025-08-26T20:28:56.3311640Z running benchmark:  20% 10/50 [00:01<00:05,  7.33it/s]
2025-08-26T20:28:56.4665041Z running benchmark:  22% 11/50 [00:01<00:05,  7.32it/s]
2025-08-26T20:28:56.6258227Z running benchmark:  24% 12/50 [00:01<00:05,  7.34it/s]
2025-08-26T20:28:56.7611206Z running benchmark:  26% 13/50 [00:01<00:05,  6.98it/s]
2025-08-26T20:28:56.8967112Z running benchmark:  28% 14/50 [00:01<00:05,  7.10it/s]
2025-08-26T20:28:57.0326822Z running benchmark:  30% 15/50 [00:02<00:04,  7.18it/s]
2025-08-26T20:28:57.1681190Z running benchmark:  32% 16/50 [00:02<00:04,  7.23it/s]
2025-08-26T20:28:57.3024669Z running benchmark:  34% 17/50 [00:02<00:04,  7.28it/s]
2025-08-26T20:28:57.4357559Z running benchmark:  36% 18/50 [00:02<00:04,  7.33it/s]
2025-08-26T20:28:57.5688506Z running benchmark:  38% 19/50 [00:02<00:04,  7.38it/s]
2025-08-26T20:28:57.7219811Z running benchmark:  40% 20/50 [00:02<00:04,  7.42it/s]
2025-08-26T20:28:57.8535202Z running benchmark:  42% 21/50 [00:02<00:04,  7.13it/s]
2025-08-26T20:28:57.9860086Z running benchmark:  44% 22/50 [00:03<00:03,  7.26it/s]
2025-08-26T20:28:58.1175390Z running benchmark:  46% 23/50 [00:03<00:03,  7.35it/s]
2025-08-26T20:28:58.2500407Z running benchmark:  48% 24/50 [00:03<00:03,  7.42it/s]
2025-08-26T20:28:58.3816284Z running benchmark:  50% 25/50 [00:03<00:03,  7.46it/s]
2025-08-26T20:28:58.5138950Z running benchmark:  52% 26/50 [00:03<00:03,  7.50it/s]
2025-08-26T20:28:58.6456537Z running benchmark:  54% 27/50 [00:03<00:03,  7.52it/s]
2025-08-26T20:28:58.8016247Z running benchmark:  56% 28/50 [00:03<00:02,  7.54it/s]
2025-08-26T20:28:58.9343897Z running benchmark:  58% 29/50 [00:04<00:02,  7.16it/s]
2025-08-26T20:28:59.0665881Z running benchmark:  60% 30/50 [00:04<00:02,  7.27it/s]
2025-08-26T20:28:59.1982254Z running benchmark:  62% 31/50 [00:04<00:02,  7.36it/s]
2025-08-26T20:28:59.3321760Z running benchmark:  64% 32/50 [00:04<00:02,  7.43it/s]
2025-08-26T20:28:59.4641450Z running benchmark:  66% 33/50 [00:04<00:02,  7.44it/s]
2025-08-26T20:28:59.5959931Z running benchmark:  68% 34/50 [00:04<00:02,  7.48it/s]
2025-08-26T20:28:59.7274523Z running benchmark:  70% 35/50 [00:04<00:01,  7.51it/s]
2025-08-26T20:28:59.8821524Z running benchmark:  72% 36/50 [00:04<00:01,  7.54it/s]
2025-08-26T20:29:00.0148051Z running benchmark:  74% 37/50 [00:05<00:01,  7.18it/s]
2025-08-26T20:29:00.1470883Z running benchmark:  76% 38/50 [00:05<00:01,  7.28it/s]
2025-08-26T20:29:00.2790589Z running benchmark:  78% 39/50 [00:05<00:01,  7.36it/s]
2025-08-26T20:29:00.4104064Z running benchmark:  80% 40/50 [00:05<00:01,  7.43it/s]
2025-08-26T20:29:00.5416311Z running benchmark:  82% 41/50 [00:05<00:01,  7.48it/s]
2025-08-26T20:29:00.6730059Z running benchmark:  84% 42/50 [00:05<00:01,  7.52it/s]
2025-08-26T20:29:00.8051556Z running benchmark:  86% 43/50 [00:05<00:00,  7.55it/s]
2025-08-26T20:29:00.9604271Z running benchmark:  88% 44/50 [00:06<00:00,  7.55it/s]
2025-08-26T20:29:01.0917090Z running benchmark:  90% 45/50 [00:06<00:00,  7.18it/s]
2025-08-26T20:29:01.2247118Z running benchmark:  92% 46/50 [00:06<00:00,  7.31it/s]
2025-08-26T20:29:01.3571536Z running benchmark:  94% 47/50 [00:06<00:00,  7.37it/s]
2025-08-26T20:29:01.4887266Z running benchmark:  96% 48/50 [00:06<00:00,  7.42it/s]
2025-08-26T20:29:01.6204546Z running benchmark:  98% 49/50 [00:06<00:00,  7.48it/s]
2025-08-26T20:29:01.6205053Z running benchmark: 100% 50/50 [00:06<00:00,  7.51it/s]
2025-08-26T20:29:01.6205463Z running benchmark: 100% 50/50 [00:06<00:00,  7.33it/s]
2025-08-26T20:29:01.7261425Z 2.933x
2025-08-26T20:29:01.7261786Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:29:02.9272250Z + cat /var/lib/jenkins/workspace/test/test-reports/inductor_inference_timm_regnet_inductor_amp_static_cpu_smoketest.csv
2025-08-26T20:29:02.9283306Z 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
2025-08-26T20:29:02.9283987Z cpu,timm_regnet,32,2.933282,33.562607,16.311389,0.971760,449.018675,462.067302,321,1,0,0,0,0,1
2025-08-26T20:29:02.9284922Z + python benchmarks/dynamo/check_perf_csv.py -f /var/lib/jenkins/workspace/test/test-reports/inductor_inference_timm_regnet_inductor_amp_static_cpu_smoketest.csv -t 1.12734073 -s 0.99
2025-08-26T20:29:03.1940016Z timm_regnet                        2.933282
2025-08-26T20:29:03.2295626Z + IFS=,
2025-08-26T20:29:03.2296269Z + read -r -a model_cfg
2025-08-26T20:29:03.2296508Z + local model_name=mnasnet1_0
2025-08-26T20:29:03.2296733Z + local data_type=amp
2025-08-26T20:29:03.2296938Z + local speedup_target=2.1296814
2025-08-26T20:29:03.2297164Z + local backend=inductor
2025-08-26T20:29:03.2297394Z + [[ cpp == \c\p\p ]]
2025-08-26T20:29:03.2297608Z + export TORCHINDUCTOR_CPP_WRAPPER=1
2025-08-26T20:29:03.2297849Z + TORCHINDUCTOR_CPP_WRAPPER=1
2025-08-26T20:29:03.2298341Z + local output_name=/var/lib/jenkins/workspace/test/test-reports/inductor_inference_mnasnet1_0_inductor_amp_static_cpu_smoketest.csv
2025-08-26T20:29:03.2298836Z + [[ static == \d\y\n\a\m\i\c ]]
2025-08-26T20:29:03.2299659Z + 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
2025-08-26T20:29:05.2630828Z 
2025-08-26T20:29:05.4090075Z 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
2025-08-26T20:29:05.4220423Z 
2025-08-26T20:29:05.4220460Z 
2025-08-26T20:29:05.4707358Z   0% 0.00/16.9M [00:00<?, ?B/s]
2025-08-26T20:29:05.4707744Z 100% 16.9M/16.9M [00:00<00:00, 366MB/s]
2025-08-26T20:29:05.6943196Z 
2025-08-26T20:29:05.6943658Z loading model: 0it [00:00, ?it/s]
2025-08-26T20:29:05.6943986Z cpu  eval  mnasnet1_0                         
2025-08-26T20:29:07.5546868Z skipping cudagraphs due to cpp wrapper enabled
2025-08-26T20:29:18.1150434Z 
2025-08-26T20:29:18.2223914Z running benchmark:   0% 0/50 [00:00<?, ?it/s]
2025-08-26T20:29:18.3224831Z running benchmark:   8% 4/50 [00:00<00:01, 37.32it/s]
2025-08-26T20:29:18.4239251Z running benchmark:  16% 8/50 [00:00<00:01, 38.82it/s]
2025-08-26T20:29:18.5498663Z running benchmark:  24% 12/50 [00:00<00:00, 39.10it/s]
2025-08-26T20:29:18.6584300Z running benchmark:  34% 17/50 [00:00<00:00, 39.36it/s]
2025-08-26T20:29:18.7597330Z running benchmark:  42% 21/50 [00:00<00:00, 38.47it/s]
2025-08-26T20:29:18.8835593Z running benchmark:  50% 25/50 [00:00<00:00, 38.80it/s]
2025-08-26T20:29:18.9856658Z running benchmark:  60% 30/50 [00:00<00:00, 39.37it/s]
2025-08-26T20:29:19.0871968Z running benchmark:  68% 34/50 [00:00<00:00, 39.31it/s]
2025-08-26T20:29:19.1892615Z running benchmark:  76% 38/50 [00:00<00:00, 39.34it/s]
2025-08-26T20:29:19.2916985Z running benchmark:  84% 42/50 [00:01<00:00, 39.29it/s]
2025-08-26T20:29:19.3933515Z running benchmark:  92% 46/50 [00:01<00:00, 39.22it/s]
2025-08-26T20:29:19.3934413Z running benchmark: 100% 50/50 [00:01<00:00, 39.26it/s]
2025-08-26T20:29:19.3934816Z running benchmark: 100% 50/50 [00:01<00:00, 39.11it/s]
2025-08-26T20:29:19.4524448Z 3.950x
2025-08-26T20:29:19.4525027Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:29:20.4169925Z + cat /var/lib/jenkins/workspace/test/test-reports/inductor_inference_mnasnet1_0_inductor_amp_static_cpu_smoketest.csv
2025-08-26T20:29:20.4187827Z 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
2025-08-26T20:29:20.4188541Z cpu,mnasnet1_0,32,3.950210,4.954721,11.342034,0.923041,136.062566,147.406848,154,1,0,0,0,0,1
2025-08-26T20:29:20.4189183Z + 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
2025-08-26T20:29:20.6653639Z mnasnet1_0                         3.95021
2025-08-26T20:29:20.7009523Z + IFS=,
2025-08-26T20:29:20.7009783Z + read -r -a model_cfg
2025-08-26T20:29:20.7010039Z + local model_name=timm_vovnet
2025-08-26T20:29:20.7010255Z + local data_type=amp
2025-08-26T20:29:20.7010843Z + local speedup_target=1.10851009
2025-08-26T20:29:20.7011087Z + local backend=inductor
2025-08-26T20:29:20.7011298Z + [[ cpp == \c\p\p ]]
2025-08-26T20:29:20.7011506Z + export TORCHINDUCTOR_CPP_WRAPPER=1
2025-08-26T20:29:20.7011750Z + TORCHINDUCTOR_CPP_WRAPPER=1
2025-08-26T20:29:20.7012246Z + local output_name=/var/lib/jenkins/workspace/test/test-reports/inductor_inference_timm_vovnet_inductor_amp_dynamic_cpu_smoketest.csv
2025-08-26T20:29:20.7012726Z + [[ dynamic == \d\y\n\a\m\i\c ]]
2025-08-26T20:29:20.7013655Z + taskset -c 0-93 python benchmarks/dynamo/torchbench.py --inference --performance --amp -dcpu -n50 --only timm_vovnet --dynamic-shapes --dynamic-batch-only --freezing --timeout 9000 --inductor --output /var/lib/jenkins/workspace/test/test-reports/inductor_inference_timm_vovnet_inductor_amp_dynamic_cpu_smoketest.csv
2025-08-26T20:29:22.7553347Z 
2025-08-26T20:29:24.0089114Z loading model: 0it [00:00, ?it/s]
2025-08-26T20:29:24.0089467Z loading model: 0it [00:01, ?it/s]
2025-08-26T20:29:24.0089736Z cpu  eval  timm_vovnet                        
2025-08-26T20:29:26.1912766Z skipping cudagraphs due to cpp wrapper enabled
2025-08-26T20:29:41.0110291Z 
2025-08-26T20:29:41.1190438Z running benchmark:   0% 0/50 [00:00<?, ?it/s]
2025-08-26T20:29:41.2649088Z running benchmark:   2% 1/50 [00:00<00:05,  9.28it/s]
2025-08-26T20:29:41.4105995Z running benchmark:   6% 3/50 [00:00<00:03, 12.20it/s]
2025-08-26T20:29:41.5760186Z running benchmark:  10% 5/50 [00:00<00:03, 12.94it/s]
2025-08-26T20:29:41.7222497Z running benchmark:  14% 7/50 [00:00<00:03, 12.56it/s]
2025-08-26T20:29:41.8673308Z running benchmark:  18% 9/50 [00:00<00:03, 12.96it/s]
2025-08-26T20:29:42.0129166Z running benchmark:  22% 11/50 [00:00<00:02, 13.24it/s]
2025-08-26T20:29:42.1589321Z running benchmark:  26% 13/50 [00:01<00:02, 13.40it/s]
2025-08-26T20:29:42.3046051Z running benchmark:  30% 15/50 [00:01<00:02, 13.49it/s]
2025-08-26T20:29:42.4510225Z running benchmark:  34% 17/50 [00:01<00:02, 13.57it/s]
2025-08-26T20:29:42.6193411Z running benchmark:  38% 19/50 [00:01<00:02, 13.60it/s]
2025-08-26T20:29:42.7654372Z running benchmark:  42% 21/50 [00:01<00:02, 13.02it/s]
2025-08-26T20:29:42.9112415Z running benchmark:  46% 23/50 [00:01<00:02, 13.22it/s]
2025-08-26T20:29:43.0580045Z running benchmark:  50% 25/50 [00:01<00:01, 13.36it/s]
2025-08-26T20:29:43.2039507Z running benchmark:  54% 27/50 [00:02<00:01, 13.44it/s]
2025-08-26T20:29:43.3499509Z running benchmark:  58% 29/50 [00:02<00:01, 13.52it/s]
2025-08-26T20:29:43.4958188Z running benchmark:  62% 31/50 [00:02<00:01, 13.57it/s]
2025-08-26T20:29:43.6592981Z running benchmark:  66% 33/50 [00:02<00:01, 13.62it/s]
2025-08-26T20:29:43.8053696Z running benchmark:  70% 35/50 [00:02<00:01, 13.17it/s]
2025-08-26T20:29:43.9513053Z running benchmark:  74% 37/50 [00:02<00:00, 13.32it/s]
2025-08-26T20:29:44.0967639Z running benchmark:  78% 39/50 [00:02<00:00, 13.43it/s]
2025-08-26T20:29:44.2451807Z running benchmark:  82% 41/50 [00:03<00:00, 13.53it/s]
2025-08-26T20:29:44.3998216Z running benchmark:  86% 43/50 [00:03<00:00, 13.51it/s]
2025-08-26T20:29:44.5454238Z running benchmark:  90% 45/50 [00:03<00:00, 13.33it/s]
2025-08-26T20:29:44.7131184Z running benchmark:  94% 47/50 [00:03<00:00, 13.45it/s]
2025-08-26T20:29:44.7871934Z running benchmark:  98% 49/50 [00:03<00:00, 12.95it/s]
2025-08-26T20:29:44.7872474Z running benchmark: 100% 50/50 [00:03<00:00, 13.24it/s]
2025-08-26T20:29:44.8614904Z 3.256x
2025-08-26T20:29:44.8617243Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:29:46.0482840Z + cat /var/lib/jenkins/workspace/test/test-reports/inductor_inference_timm_vovnet_inductor_amp_dynamic_cpu_smoketest.csv
2025-08-26T20:29:46.0503033Z 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
2025-08-26T20:29:46.0504174Z cpu,timm_vovnet,32,3.256122,16.936464,15.468868,0.945799,220.871475,233.528934,132,1,0,0,0,0,1
2025-08-26T20:29:46.0504928Z + python benchmarks/dynamo/check_perf_csv.py -f /var/lib/jenkins/workspace/test/test-reports/inductor_inference_timm_vovnet_inductor_amp_dynamic_cpu_smoketest.csv -t 1.10851009 -s 0.99
2025-08-26T20:29:46.2974235Z timm_vovnet                        3.256122
2025-08-26T20:29:46.3341711Z + IFS=,
2025-08-26T20:29:46.3343523Z + read -r -a model_cfg
2025-08-26T20:29:46.3343797Z + local model_name=hf_GPT2
2025-08-26T20:29:46.3344010Z + local data_type=amp
2025-08-26T20:29:46.3344222Z + local speedup_target=1.4432794
2025-08-26T20:29:46.3344457Z + local backend=export-aot-inductor
2025-08-26T20:29:46.3344708Z + [[ default == \c\p\p ]]
2025-08-26T20:29:46.3344912Z + unset TORCHINDUCTOR_CPP_WRAPPER
2025-08-26T20:29:46.3345416Z + local output_name=/var/lib/jenkins/workspace/test/test-reports/inductor_inference_hf_GPT2_export-aot-inductor_amp_static_cpu_smoketest.csv
2025-08-26T20:29:46.3345911Z + [[ static == \d\y\n\a\m\i\c ]]
2025-08-26T20:29:46.3346745Z + taskset -c 0-93 python benchmarks/dynamo/torchbench.py --inference --performance --amp -dcpu -n50 --only hf_GPT2 --freezing --timeout 9000 --export-aot-inductor --output /var/lib/jenkins/workspace/test/test-reports/inductor_inference_hf_GPT2_export-aot-inductor_amp_static_cpu_smoketest.csv
2025-08-26T20:29:48.3778407Z 
2025-08-26T20:29:48.9712524Z loading model: 0it [00:00, ?it/s]
2025-08-26T20:29:48.9712760Z 
2025-08-26T20:29:48.9740688Z config.json:   0% 0.00/665 [00:00<?, ?B/s]
2025-08-26T20:29:48.9740977Z config.json: 100% 665/665 [00:00<00:00, 194kB/s]
2025-08-26T20:29:52.1420197Z 
2025-08-26T20:29:52.1421346Z loading model: 0it [00:03, ?it/s]
2025-08-26T20:29:52.1422046Z cpu  eval  hf_GPT2                            
2025-08-26T20:29:54.1420070Z skipping cudagraphs due to cpp wrapper enabled
2025-08-26T20:30:08.2597298Z 
2025-08-26T20:30:08.3760859Z running benchmark:   0% 0/50 [00:00<?, ?it/s]
2025-08-26T20:30:08.4867457Z running benchmark:   6% 3/50 [00:00<00:01, 25.83it/s]
2025-08-26T20:30:08.6000522Z running benchmark:  14% 7/50 [00:00<00:01, 31.77it/s]
2025-08-26T20:30:08.7133191Z running benchmark:  22% 11/50 [00:00<00:01, 33.47it/s]
2025-08-26T20:30:08.8227026Z running benchmark:  30% 15/50 [00:00<00:01, 34.13it/s]
2025-08-26T20:30:08.9316776Z running benchmark:  38% 19/50 [00:00<00:00, 34.99it/s]
2025-08-26T20:30:09.0416779Z running benchmark:  46% 23/50 [00:00<00:00, 35.56it/s]
2025-08-26T20:30:09.1514811Z running benchmark:  54% 27/50 [00:00<00:00, 35.82it/s]
2025-08-26T20:30:09.2601452Z running benchmark:  62% 31/50 [00:00<00:00, 36.01it/s]
2025-08-26T20:30:09.3693212Z running benchmark:  70% 35/50 [00:01<00:00, 36.26it/s]
2025-08-26T20:30:09.4783921Z running benchmark:  78% 39/50 [00:01<00:00, 36.38it/s]
2025-08-26T20:30:09.5874007Z running benchmark:  86% 43/50 [00:01<00:00, 36.46it/s]
2025-08-26T20:30:09.6732798Z running benchmark:  94% 47/50 [00:01<00:00, 36.54it/s]
2025-08-26T20:30:09.6733181Z running benchmark: 100% 50/50 [00:01<00:00, 35.37it/s]
2025-08-26T20:30:09.7799240Z 2.129x
2025-08-26T20:30:09.7799641Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:30:11.1550866Z + cat /var/lib/jenkins/workspace/test/test-reports/inductor_inference_hf_GPT2_export-aot-inductor_amp_static_cpu_smoketest.csv
2025-08-26T20:30:11.1566267Z 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
2025-08-26T20:30:11.1567011Z cpu,hf_GPT2,1,2.129422,8.471007,15.566212,0.513434,263.591526,513.389773,0,0,0,0,0,0,1
2025-08-26T20:30:11.1567976Z + python benchmarks/dynamo/check_perf_csv.py -f /var/lib/jenkins/workspace/test/test-reports/inductor_inference_hf_GPT2_export-aot-inductor_amp_static_cpu_smoketest.csv -t 1.4432794 -s 0.99
2025-08-26T20:30:11.4051438Z hf_GPT2                            2.129422
2025-08-26T20:30:11.4418841Z + IFS=,
2025-08-26T20:30:11.4419087Z + read -r -a model_cfg
2025-08-26T20:30:11.4419622Z + local model_name=densenet121
2025-08-26T20:30:11.4419865Z + local data_type=amp
2025-08-26T20:30:11.4420087Z + local speedup_target=1.25591385
2025-08-26T20:30:11.4420338Z + local backend=export-aot-inductor
2025-08-26T20:30:11.4420579Z + [[ default == \c\p\p ]]
2025-08-26T20:30:11.4420806Z + unset TORCHINDUCTOR_CPP_WRAPPER
2025-08-26T20:30:11.4421358Z + local output_name=/var/lib/jenkins/workspace/test/test-reports/inductor_inference_densenet121_export-aot-inductor_amp_static_cpu_smoketest.csv
2025-08-26T20:30:11.4421887Z + [[ static == \d\y\n\a\m\i\c ]]
2025-08-26T20:30:11.4422778Z + 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
2025-08-26T20:30:13.4688931Z 
2025-08-26T20:30:13.6478558Z 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
2025-08-26T20:30:13.6582881Z 
2025-08-26T20:30:13.6582910Z 
2025-08-26T20:30:13.7444022Z   0% 0.00/30.8M [00:00<?, ?B/s]
2025-08-26T20:30:13.7444446Z 100% 30.8M/30.8M [00:00<00:00, 377MB/s]
2025-08-26T20:30:14.3092116Z 
2025-08-26T20:30:14.3092701Z loading model: 0it [00:00, ?it/s]
2025-08-26T20:30:14.3093044Z cpu  eval  densenet121                        
2025-08-26T20:30:17.6057993Z skipping cudagraphs due to cpp wrapper enabled
2025-08-26T20:30:40.9953511Z 
2025-08-26T20:30:41.2213213Z running benchmark:   0% 0/50 [00:00<?, ?it/s]
2025-08-26T20:30:41.3732719Z running benchmark:   2% 1/50 [00:00<00:11,  4.43it/s]
2025-08-26T20:30:41.5230632Z running benchmark:   4% 2/50 [00:00<00:08,  5.48it/s]
2025-08-26T20:30:41.6728295Z running benchmark:   6% 3/50 [00:00<00:07,  5.97it/s]
2025-08-26T20:30:41.8233459Z running benchmark:   8% 4/50 [00:00<00:07,  6.23it/s]
2025-08-26T20:30:41.9845489Z running benchmark:  10% 5/50 [00:00<00:07,  6.37it/s]
2025-08-26T20:30:42.1347418Z running benchmark:  12% 6/50 [00:00<00:06,  6.31it/s]
2025-08-26T20:30:42.2837721Z running benchmark:  14% 7/50 [00:01<00:06,  6.42it/s]
2025-08-26T20:30:42.4333599Z running benchmark:  16% 8/50 [00:01<00:06,  6.51it/s]
2025-08-26T20:30:42.5811603Z running benchmark:  18% 9/50 [00:01<00:06,  6.56it/s]
2025-08-26T20:30:42.7295538Z running benchmark:  20% 10/50 [00:01<00:06,  6.63it/s]
2025-08-26T20:30:42.8783749Z running benchmark:  22% 11/50 [00:01<00:05,  6.66it/s]
2025-08-26T20:30:43.0380029Z running benchmark:  24% 12/50 [00:01<00:05,  6.68it/s]
2025-08-26T20:30:43.1864755Z running benchmark:  26% 13/50 [00:02<00:05,  6.55it/s]
2025-08-26T20:30:43.3369666Z running benchmark:  28% 14/50 [00:02<00:05,  6.60it/s]
2025-08-26T20:30:43.4858150Z running benchmark:  30% 15/50 [00:02<00:05,  6.62it/s]
2025-08-26T20:30:43.6353462Z running benchmark:  32% 16/50 [00:02<00:05,  6.65it/s]
2025-08-26T20:30:43.7841356Z running benchmark:  34% 17/50 [00:02<00:04,  6.66it/s]
2025-08-26T20:30:43.9348819Z running benchmark:  36% 18/50 [00:02<00:04,  6.68it/s]
2025-08-26T20:30:44.0922055Z running benchmark:  38% 19/50 [00:02<00:04,  6.66it/s]
2025-08-26T20:30:44.2471171Z running benchmark:  40% 20/50 [00:03<00:04,  6.57it/s]
2025-08-26T20:30:44.3976007Z running benchmark:  42% 21/50 [00:03<00:04,  6.54it/s]
2025-08-26T20:30:44.5463873Z running benchmark:  44% 22/50 [00:03<00:04,  6.57it/s]
2025-08-26T20:30:44.6957443Z running benchmark:  46% 23/50 [00:03<00:04,  6.61it/s]
2025-08-26T20:30:44.8441690Z running benchmark:  48% 24/50 [00:03<00:03,  6.64it/s]
2025-08-26T20:30:44.9921952Z running benchmark:  50% 25/50 [00:03<00:03,  6.67it/s]
2025-08-26T20:30:45.1431963Z running benchmark:  52% 26/50 [00:03<00:03,  6.69it/s]
2025-08-26T20:30:45.3030231Z running benchmark:  54% 27/50 [00:04<00:03,  6.67it/s]
2025-08-26T20:30:45.4535847Z running benchmark:  56% 28/50 [00:04<00:03,  6.54it/s]
2025-08-26T20:30:45.6035874Z running benchmark:  58% 29/50 [00:04<00:03,  6.57it/s]
2025-08-26T20:30:45.7525354Z running benchmark:  60% 30/50 [00:04<00:03,  6.60it/s]
2025-08-26T20:30:45.9037686Z running benchmark:  62% 31/50 [00:04<00:02,  6.63it/s]
2025-08-26T20:30:46.0527912Z running benchmark:  64% 32/50 [00:04<00:02,  6.63it/s]
2025-08-26T20:30:46.2026818Z running benchmark:  66% 33/50 [00:05<00:02,  6.65it/s]
2025-08-26T20:30:46.3654998Z running benchmark:  68% 34/50 [00:05<00:02,  6.66it/s]
2025-08-26T20:30:46.5151586Z running benchmark:  70% 35/50 [00:05<00:02,  6.50it/s]
2025-08-26T20:30:46.6658661Z running benchmark:  72% 36/50 [00:05<00:02,  6.55it/s]
2025-08-26T20:30:46.8157228Z running benchmark:  74% 37/50 [00:05<00:01,  6.57it/s]
2025-08-26T20:30:46.9657733Z running benchmark:  76% 38/50 [00:05<00:01,  6.60it/s]
2025-08-26T20:30:47.1157228Z running benchmark:  78% 39/50 [00:05<00:01,  6.62it/s]
2025-08-26T20:30:47.2648853Z running benchmark:  80% 40/50 [00:06<00:01,  6.64it/s]
2025-08-26T20:30:47.4260571Z running benchmark:  82% 41/50 [00:06<00:01,  6.66it/s]
2025-08-26T20:30:47.5761161Z running benchmark:  84% 42/50 [00:06<00:01,  6.51it/s]
2025-08-26T20:30:47.7249459Z running benchmark:  86% 43/50 [00:06<00:01,  6.56it/s]
2025-08-26T20:30:47.8743683Z running benchmark:  88% 44/50 [00:06<00:00,  6.61it/s]
2025-08-26T20:30:48.0237645Z running benchmark:  90% 45/50 [00:06<00:00,  6.63it/s]
2025-08-26T20:30:48.1734518Z running benchmark:  92% 46/50 [00:07<00:00,  6.65it/s]
2025-08-26T20:30:48.3230454Z running benchmark:  94% 47/50 [00:07<00:00,  6.66it/s]
2025-08-26T20:30:48.4814451Z running benchmark:  96% 48/50 [00:07<00:00,  6.67it/s]
2025-08-26T20:30:48.6306392Z running benchmark:  98% 49/50 [00:07<00:00,  6.56it/s]
2025-08-26T20:30:48.6306869Z running benchmark: 100% 50/50 [00:07<00:00,  6.60it/s]
2025-08-26T20:30:48.6307271Z running benchmark: 100% 50/50 [00:07<00:00,  6.55it/s]
2025-08-26T20:30:48.7427110Z 2.858x
2025-08-26T20:30:48.7427899Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:30:50.2318569Z + cat /var/lib/jenkins/workspace/test/test-reports/inductor_inference_densenet121_export-aot-inductor_amp_static_cpu_smoketest.csv
2025-08-26T20:30:50.2336918Z 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
2025-08-26T20:30:50.2337710Z cpu,densenet121,64,2.858293,38.500566,25.305428,0.956404,512.471859,535.832166,0,0,0,0,0,0,1
2025-08-26T20:30:50.2338933Z + 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
2025-08-26T20:30:50.4822450Z densenet121                        2.858293
2025-08-26T20:30:50.5182106Z + IFS=,
2025-08-26T20:30:50.5182350Z + read -r -a model_cfg
2025-08-26T20:30:50.5182595Z + local model_name=hf_DistilBert
2025-08-26T20:30:50.5182829Z + local data_type=amp
2025-08-26T20:30:50.5183046Z + local speedup_target=1.2926442
2025-08-26T20:30:50.5183276Z + local backend=export-aot-inductor
2025-08-26T20:30:50.5183507Z + [[ default == \c\p\p ]]
2025-08-26T20:30:50.5183727Z + unset TORCHINDUCTOR_CPP_WRAPPER
2025-08-26T20:30:50.5184275Z + local output_name=/var/lib/jenkins/workspace/test/test-reports/inductor_inference_hf_DistilBert_export-aot-inductor_amp_dynamic_cpu_smoketest.csv
2025-08-26T20:30:50.5184801Z + [[ dynamic == \d\y\n\a\m\i\c ]]
2025-08-26T20:30:50.5185800Z + taskset -c 0-93 python benchmarks/dynamo/torchbench.py --inference --performance --amp -dcpu -n50 --only hf_DistilBert --dynamic-shapes --dynamic-batch-only --freezing --timeout 9000 --export-aot-inductor --output /var/lib/jenkins/workspace/test/test-reports/inductor_inference_hf_DistilBert_export-aot-inductor_amp_dynamic_cpu_smoketest.csv
2025-08-26T20:30:52.5897692Z 
2025-08-26T20:30:53.1726496Z loading model: 0it [00:00, ?it/s]
2025-08-26T20:30:53.1726723Z 
2025-08-26T20:30:53.1753181Z config.json:   0% 0.00/483 [00:00<?, ?B/s]
2025-08-26T20:30:53.1753483Z config.json: 100% 483/483 [00:00<00:00, 140kB/s]
2025-08-26T20:30:54.6676551Z 
2025-08-26T20:30:54.6676994Z loading model: 0it [00:02, ?it/s]
2025-08-26T20:30:54.6677333Z cpu  eval  hf_DistilBert                      
2025-08-26T20:30:56.1089779Z skipping cudagraphs due to cpp wrapper enabled
2025-08-26T20:31:06.6229472Z 
2025-08-26T20:31:06.7279984Z running benchmark:   0% 0/50 [00:00<?, ?it/s]
2025-08-26T20:31:06.8338851Z running benchmark:   8% 4/50 [00:00<00:01, 37.94it/s]
2025-08-26T20:31:06.9387846Z running benchmark:  20% 10/50 [00:00<00:00, 48.96it/s]
2025-08-26T20:31:07.0438254Z running benchmark:  32% 16/50 [00:00<00:00, 52.69it/s]
2025-08-26T20:31:07.1580922Z running benchmark:  44% 22/50 [00:00<00:00, 54.44it/s]
2025-08-26T20:31:07.2704704Z running benchmark:  56% 28/50 [00:00<00:00, 53.72it/s]
2025-08-26T20:31:07.3758527Z running benchmark:  68% 34/50 [00:00<00:00, 53.60it/s]
2025-08-26T20:31:07.4815412Z running benchmark:  80% 40/50 [00:00<00:00, 54.65it/s]
2025-08-26T20:31:07.5521543Z running benchmark:  92% 46/50 [00:00<00:00, 55.32it/s]
2025-08-26T20:31:07.5522096Z running benchmark: 100% 50/50 [00:00<00:00, 53.78it/s]
2025-08-26T20:31:07.6376562Z 1.901x
2025-08-26T20:31:07.6377047Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:31:08.7429639Z + cat /var/lib/jenkins/workspace/test/test-reports/inductor_inference_hf_DistilBert_export-aot-inductor_amp_dynamic_cpu_smoketest.csv
2025-08-26T20:31:08.7446774Z 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
2025-08-26T20:31:08.7447563Z cpu,hf_DistilBert,1,1.900680,5.925463,11.525029,0.552173,170.274406,308.371456,0,0,0,0,0,0,1
2025-08-26T20:31:08.7448632Z + python benchmarks/dynamo/check_perf_csv.py -f /var/lib/jenkins/workspace/test/test-reports/inductor_inference_hf_DistilBert_export-aot-inductor_amp_dynamic_cpu_smoketest.csv -t 1.2926442 -s 0.99
2025-08-26T20:31:08.9930616Z hf_DistilBert                      1.90068
2025-08-26T20:31:09.0288004Z + IFS=,
2025-08-26T20:31:09.0288262Z + read -r -a model_cfg
2025-08-26T20:31:09.0288487Z + local model_name=hf_Bart
2025-08-26T20:31:09.0288733Z + local data_type=amp
2025-08-26T20:31:09.0288941Z + local speedup_target=1.19515416
2025-08-26T20:31:09.0289180Z + local backend=export-aot-inductor
2025-08-26T20:31:09.0289408Z + [[ default == \c\p\p ]]
2025-08-26T20:31:09.0289621Z + unset TORCHINDUCTOR_CPP_WRAPPER
2025-08-26T20:31:09.0290356Z + local output_name=/var/lib/jenkins/workspace/test/test-reports/inductor_inference_hf_Bart_export-aot-inductor_amp_dynamic_cpu_smoketest.csv
2025-08-26T20:31:09.0290852Z + [[ dynamic == \d\y\n\a\m\i\c ]]
2025-08-26T20:31:09.0291868Z + taskset -c 0-93 python benchmarks/dynamo/torchbench.py --inference --performance --amp -dcpu -n50 --only hf_Bart --dynamic-shapes --dynamic-batch-only --freezing --timeout 9000 --export-aot-inductor --output /var/lib/jenkins/workspace/test/test-reports/inductor_inference_hf_Bart_export-aot-inductor_amp_dynamic_cpu_smoketest.csv
2025-08-26T20:31:11.0641995Z 
2025-08-26T20:31:11.6319103Z loading model: 0it [00:00, ?it/s]
2025-08-26T20:31:11.6319443Z 
2025-08-26T20:31:11.6319883Z config.json: 0.00B [00:00, ?B/s]
2025-08-26T20:31:11.6320119Z config.json: 1.72kB [00:00, 14.1MB/s]
2025-08-26T20:31:14.4013174Z 
2025-08-26T20:31:14.4013963Z loading model: 0it [00:03, ?it/s]
2025-08-26T20:31:14.4014386Z cpu  eval  hf_Bart                            
2025-08-26T20:31:16.4026827Z skipping cudagraphs due to cpp wrapper enabled
2025-08-26T20:31:39.2354694Z 
2025-08-26T20:31:39.3746666Z running benchmark:   0% 0/50 [00:00<?, ?it/s]
2025-08-26T20:31:39.5132834Z running benchmark:   4% 2/50 [00:00<00:03, 14.33it/s]
2025-08-26T20:31:39.6427065Z running benchmark:  10% 5/50 [00:00<00:02, 18.62it/s]
2025-08-26T20:31:39.7723971Z running benchmark:  16% 8/50 [00:00<00:02, 20.62it/s]
2025-08-26T20:31:39.9016698Z running benchmark:  22% 11/50 [00:00<00:01, 21.59it/s]
2025-08-26T20:31:40.0312905Z running benchmark:  28% 14/50 [00:00<00:01, 22.15it/s]
2025-08-26T20:31:40.1621951Z running benchmark:  34% 17/50 [00:00<00:01, 22.49it/s]
2025-08-26T20:31:40.2925067Z running benchmark:  40% 20/50 [00:00<00:01, 22.63it/s]
2025-08-26T20:31:40.4229523Z running benchmark:  46% 23/50 [00:01<00:01, 22.76it/s]
2025-08-26T20:31:40.5657525Z running benchmark:  52% 26/50 [00:01<00:01, 22.83it/s]
2025-08-26T20:31:40.6953509Z running benchmark:  58% 29/50 [00:01<00:00, 22.24it/s]
2025-08-26T20:31:40.8245510Z running benchmark:  64% 32/50 [00:01<00:00, 22.51it/s]
2025-08-26T20:31:40.9539214Z running benchmark:  70% 35/50 [00:01<00:00, 22.72it/s]
2025-08-26T20:31:41.0832669Z running benchmark:  76% 38/50 [00:01<00:00, 22.86it/s]
2025-08-26T20:31:41.2121329Z running benchmark:  82% 41/50 [00:01<00:00, 22.96it/s]
2025-08-26T20:31:41.3407154Z running benchmark:  88% 44/50 [00:01<00:00, 23.06it/s]
2025-08-26T20:31:41.4691440Z running benchmark:  94% 47/50 [00:02<00:00, 23.14it/s]
2025-08-26T20:31:41.4692006Z running benchmark: 100% 50/50 [00:02<00:00, 23.21it/s]
2025-08-26T20:31:41.4692489Z running benchmark: 100% 50/50 [00:02<00:00, 22.38it/s]
2025-08-26T20:31:41.5804462Z 1.761x
2025-08-26T20:31:41.5804870Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:31:42.9900137Z + cat /var/lib/jenkins/workspace/test/test-reports/inductor_inference_hf_Bart_export-aot-inductor_amp_dynamic_cpu_smoketest.csv
2025-08-26T20:31:42.9919229Z 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
2025-08-26T20:31:42.9919920Z cpu,hf_Bart,1,1.760714,15.477722,24.238694,0.549981,305.198694,554.925670,0,0,0,0,0,0,1
2025-08-26T20:31:42.9920891Z + python benchmarks/dynamo/check_perf_csv.py -f /var/lib/jenkins/workspace/test/test-reports/inductor_inference_hf_Bart_export-aot-inductor_amp_dynamic_cpu_smoketest.csv -t 1.19515416 -s 0.99
2025-08-26T20:31:43.2371604Z hf_Bart                            1.760714
2025-08-26T20:31:43.2726753Z + IFS=,
2025-08-26T20:31:43.2726986Z + read -r -a model_cfg
2025-08-26T20:31:43.2730130Z + sccache_epilogue
2025-08-26T20:31:43.2730398Z + echo '::group::Sccache Compilation Log'
2025-08-26T20:31:43.2731140Z ##[group]Sccache Compilation Log
2025-08-26T20:31:43.2731422Z + echo '=================== sccache compilation log ==================='
2025-08-26T20:31:43.2731744Z =================== sccache compilation log ===================
2025-08-26T20:31:43.2732479Z + python /var/lib/jenkins/workspace/.ci/pytorch/print_sccache_log.py /var/lib/jenkins/sccache_error.log
2025-08-26T20:31:43.2967303Z + echo '=========== If your build fails, please take a look at the log above for possible reasons ==========='
2025-08-26T20:31:43.2967822Z =========== If your build fails, please take a look at the log above for possible reasons ===========
2025-08-26T20:31:43.2968186Z + sccache --show-stats
2025-08-26T20:31:43.3003855Z Compile requests                    242
2025-08-26T20:31:43.3004118Z Compile requests executed            16
2025-08-26T20:31:43.3004311Z Cache hits                           12
2025-08-26T20:31:43.3004501Z Cache hits (C/C++)                   12
2025-08-26T20:31:43.3004692Z Cache misses                          4
2025-08-26T20:31:43.3004885Z Cache misses (C/C++)                  4
2025-08-26T20:31:43.3005072Z Cache hits rate                   75.00 %
2025-08-26T20:31:43.3005267Z Cache hits rate (C/C++)           75.00 %
2025-08-26T20:31:43.3005475Z Cache timeouts                        0
2025-08-26T20:31:43.3005662Z Cache read errors                     0
2025-08-26T20:31:43.3005842Z Forced recaches                       0
2025-08-26T20:31:43.3006033Z Cache write errors                    0
2025-08-26T20:31:43.3006218Z Cache errors                          0
2025-08-26T20:31:43.3006641Z Compilations                          4
2025-08-26T20:31:43.3006848Z Compilation failures                  0
2025-08-26T20:31:43.3007055Z Non-cacheable compilations            0
2025-08-26T20:31:43.3007255Z Non-cacheable calls                  39
2025-08-26T20:31:43.3007456Z Non-compilation calls               187
2025-08-26T20:31:43.3007650Z Unsupported compiler calls            0
2025-08-26T20:31:43.3007856Z Average cache write               0.068 s
2025-08-26T20:31:43.3008076Z Average compiler                  3.058 s
2025-08-26T20:31:43.3008279Z Average cache read hit            0.060 s
2025-08-26T20:31:43.3008478Z Failed distributed compilations       0
2025-08-26T20:31:43.3008619Z 
2025-08-26T20:31:43.3008689Z Non-cacheable reasons:
2025-08-26T20:31:43.3008880Z -E                                   31
2025-08-26T20:31:43.3009088Z unknown source language               8
2025-08-26T20:31:43.3009212Z 
2025-08-26T20:31:43.3009373Z Cache location                  s3, name: ossci-compiler-cache-circleci-v2, prefix: /
2025-08-26T20:31:43.3009656Z Version (client)                0.10.0
2025-08-26T20:31:43.3009862Z + sccache --stop-server
2025-08-26T20:31:43.3033718Z Stopping sccache server...
2025-08-26T20:31:43.3035863Z Compile requests                    242
2025-08-26T20:31:43.3036061Z Compile requests executed            16
2025-08-26T20:31:43.3036262Z Cache hits                           12
2025-08-26T20:31:43.3036464Z Cache hits (C/C++)                   12
2025-08-26T20:31:43.3036656Z Cache misses                          4
2025-08-26T20:31:43.3036836Z Cache misses (C/C++)                  4
2025-08-26T20:31:43.3037033Z Cache hits rate                   75.00 %
2025-08-26T20:31:43.3037234Z Cache hits rate (C/C++)           75.00 %
2025-08-26T20:31:43.3037431Z Cache timeouts                        0
2025-08-26T20:31:43.3037628Z Cache read errors                     0
2025-08-26T20:31:43.3037867Z Forced recaches                       0
2025-08-26T20:31:43.3038063Z Cache write errors                    0
2025-08-26T20:31:43.3038258Z Cache errors                          0
2025-08-26T20:31:43.3038449Z Compilations                          4
2025-08-26T20:31:43.3038640Z Compilation failures                  0
2025-08-26T20:31:43.3038844Z Non-cacheable compilations            0
2025-08-26T20:31:43.3039044Z Non-cacheable calls                  39
2025-08-26T20:31:43.3039244Z Non-compilation calls               187
2025-08-26T20:31:43.3039437Z Unsupported compiler calls            0
2025-08-26T20:31:43.3039639Z Average cache write               0.068 s
2025-08-26T20:31:43.3039843Z Average compiler                  3.058 s
2025-08-26T20:31:43.3040074Z Average cache read hit            0.060 s
2025-08-26T20:31:43.3040273Z Failed distributed compilations       0
2025-08-26T20:31:43.3040408Z 
2025-08-26T20:31:43.3040480Z Non-cacheable reasons:
2025-08-26T20:31:43.3040657Z -E                                   31
2025-08-26T20:31:43.3040856Z unknown source language               8
2025-08-26T20:31:43.3040978Z 
2025-08-26T20:31:43.3041126Z Cache location                  s3, name: ossci-compiler-cache-circleci-v2, prefix: /
2025-08-26T20:31:43.3041402Z Version (client)                0.10.0
2025-08-26T20:31:43.3041632Z + echo ::endgroup::
2025-08-26T20:31:43.3041981Z ##[endgroup]
2025-08-26T20:31:43.3042147Z + cleanup_workspace
2025-08-26T20:31:43.3042463Z + echo 'sudo may print the following warning message that can be ignored. The chown command will still run.'
2025-08-26T20:31:43.3042907Z sudo may print the following warning message that can be ignored. The chown command will still run.
2025-08-26T20:31:43.3043284Z + echo '    sudo: setrlimit(RLIMIT_STACK): Operation not permitted'
2025-08-26T20:31:43.3043571Z     sudo: setrlimit(RLIMIT_STACK): Operation not permitted
2025-08-26T20:31:43.3043914Z + echo 'For more details refer to https://github.com/sudo-project/sudo/issues/42'
2025-08-26T20:31:43.3044272Z For more details refer to https://github.com/sudo-project/sudo/issues/42
2025-08-26T20:31:43.3044612Z + sudo chown -R 1000 /var/lib/jenkins/workspace
2025-08-26T20:31:43.7039036Z ##[group]Run pytorch/test-infra/.github/actions/upload-benchmark-results@main
2025-08-26T20:31:43.7039367Z with:
2025-08-26T20:31:43.7039573Z   benchmark-results-dir: test/test-reports
2025-08-26T20:31:43.7039796Z   dry-run: false
2025-08-26T20:31:43.7039979Z   schema-version: v3
2025-08-26T20:31:43.7040342Z   github-token: ***
2025-08-26T20:31:43.7040517Z env:
2025-08-26T20:31:43.7040679Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:31:43.7040997Z   DOCKER_CONTAINER_ID: 90499a7c701efa72093b821bf75e94463c3a8c509b45aa717ecbc8b72d32203d
2025-08-26T20:31:43.7041340Z ##[endgroup]
2025-08-26T20:31:43.7062227Z ##[group]Run set -eux
2025-08-26T20:31:43.7062426Z set -eux
2025-08-26T20:31:43.7062677Z python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0
2025-08-26T20:31:43.7062952Z 
2025-08-26T20:31:43.7063128Z DEVICE_NAME=""
2025-08-26T20:31:43.7063307Z DEVICE_TYPE=""
2025-08-26T20:31:43.7063480Z 
2025-08-26T20:31:43.7063677Z if command -v nvidia-smi; then
2025-08-26T20:31:43.7063964Z   # NB: I'm using PyTorch here to get the device name, however, it needs to
2025-08-26T20:31:43.7064318Z   # install the correct version of PyTorch manually for now. Any PyTorch
2025-08-26T20:31:43.7064651Z   # version is fine, I just use 2.7.1 to satify PYPIDEP linter
2025-08-26T20:31:43.7064929Z   python3 -mpip install torch==2.7.1
2025-08-26T20:31:43.7065161Z elif command -v rocminfo; then
2025-08-26T20:31:43.7065433Z   # NB: Installing torch on ROCm runner with pip here causes CI to fail
2025-08-26T20:31:43.7065870Z   # with a memoryview is too large error only on MI300 runners. Is pip
2025-08-26T20:31:43.7066213Z   # version on ROCm runner there too old? As a workaround, let's use the
2025-08-26T20:31:43.7066588Z   # GPU device name coming from rocminfo instead
2025-08-26T20:31:43.7066827Z   DEVICE_NAME=rocm
2025-08-26T20:31:43.7067134Z   DEVICE_TYPE=$(rocminfo | grep "Marketing Name" | tail -n1 | awk -F':' '{print $2}' | xargs)
2025-08-26T20:31:43.7067446Z fi
2025-08-26T20:31:43.7067602Z 
2025-08-26T20:31:43.7067790Z echo "DEVICE_NAME=$DEVICE_NAME" >> $GITHUB_ENV
2025-08-26T20:31:43.7068035Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV
2025-08-26T20:31:43.7075802Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:31:43.7076051Z env:
2025-08-26T20:31:43.7076213Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:31:43.7076565Z   DOCKER_CONTAINER_ID: 90499a7c701efa72093b821bf75e94463c3a8c509b45aa717ecbc8b72d32203d
2025-08-26T20:31:43.7076857Z ##[endgroup]
2025-08-26T20:31:43.7101445Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0
2025-08-26T20:31:43.8740881Z Defaulting to user installation because normal site-packages is not writeable
2025-08-26T20:31:44.5606890Z Collecting boto3==1.35.33
2025-08-26T20:31:44.5734945Z   Downloading boto3-1.35.33-py3-none-any.whl (139 kB)
2025-08-26T20:31:44.7708333Z Collecting psutil==7.0.0
2025-08-26T20:31:44.7735148Z   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)
2025-08-26T20:31:44.7929427Z Collecting pynvml==12.0.0
2025-08-26T20:31:44.7954795Z   Downloading pynvml-12.0.0-py3-none-any.whl (26 kB)
2025-08-26T20:31:45.5531604Z Collecting botocore<1.36.0,>=1.35.33
2025-08-26T20:31:45.5564125Z   Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB)
2025-08-26T20:31:45.6626880Z Collecting s3transfer<0.11.0,>=0.10.0
2025-08-26T20:31:45.6651156Z   Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB)
2025-08-26T20:31:45.6686189Z 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)
2025-08-26T20:31:45.6969608Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0
2025-08-26T20:31:45.6997835Z   Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB)
2025-08-26T20:31:45.7061999Z 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)
2025-08-26T20:31:45.7070208Z 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)
2025-08-26T20:31:45.8255391Z 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)
2025-08-26T20:31:45.9146441Z Installing collected packages: botocore, s3transfer, nvidia-ml-py, pynvml, psutil, boto3
2025-08-26T20:31:46.2261365Z   Attempting uninstall: nvidia-ml-py
2025-08-26T20:31:46.2261667Z     Found existing installation: nvidia-ml-py 11.525.84
2025-08-26T20:31:46.2269828Z     Uninstalling nvidia-ml-py-11.525.84:
2025-08-26T20:31:46.2386393Z       Successfully uninstalled nvidia-ml-py-11.525.84
2025-08-26T20:31:46.2803297Z   Attempting uninstall: psutil
2025-08-26T20:31:46.2803699Z     Found existing installation: psutil 5.9.8
2025-08-26T20:31:46.2843174Z     Uninstalling psutil-5.9.8:
2025-08-26T20:31:46.2847046Z       Successfully uninstalled psutil-5.9.8
2025-08-26T20:31:46.4017423Z 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
2025-08-26T20:31:46.4866130Z + DEVICE_NAME=
2025-08-26T20:31:46.4866626Z + DEVICE_TYPE=
2025-08-26T20:31:46.4866850Z + command -v nvidia-smi
2025-08-26T20:31:46.4867115Z + command -v rocminfo
2025-08-26T20:31:46.4867304Z + echo DEVICE_NAME=
2025-08-26T20:31:46.4867471Z + echo DEVICE_TYPE=
2025-08-26T20:31:46.4888495Z ##[group]Run set -eux
2025-08-26T20:31:46.4888673Z set -eux
2025-08-26T20:31:46.4888825Z 
2025-08-26T20:31:46.4888987Z if [[ -z "${GITHUB_TOKEN}" ]]; then
2025-08-26T20:31:46.4889274Z   echo "Missing github-token input"
2025-08-26T20:31:46.4889471Z   exit 1
2025-08-26T20:31:46.4889630Z fi
2025-08-26T20:31:46.4893985Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:31:46.4894219Z env:
2025-08-26T20:31:46.4894371Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:31:46.4894651Z   DOCKER_CONTAINER_ID: 90499a7c701efa72093b821bf75e94463c3a8c509b45aa717ecbc8b72d32203d
2025-08-26T20:31:46.4894944Z   DEVICE_NAME: 
2025-08-26T20:31:46.4895094Z   DEVICE_TYPE: 
2025-08-26T20:31:46.4895439Z   GITHUB_TOKEN: ***
2025-08-26T20:31:46.4895595Z ##[endgroup]
2025-08-26T20:31:46.4913951Z + [[ -z *** ]]
2025-08-26T20:31:46.4948625Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main
2025-08-26T20:31:46.4948943Z with:
2025-08-26T20:31:46.4949213Z   github-token: ***
2025-08-26T20:31:46.4949358Z env:
2025-08-26T20:31:46.4949507Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:31:46.4949787Z   DOCKER_CONTAINER_ID: 90499a7c701efa72093b821bf75e94463c3a8c509b45aa717ecbc8b72d32203d
2025-08-26T20:31:46.4950081Z   DEVICE_NAME: 
2025-08-26T20:31:46.4950230Z   DEVICE_TYPE: 
2025-08-26T20:31:46.4950391Z ##[endgroup]
2025-08-26T20:31:46.4963909Z ##[group]Run set -eux
2025-08-26T20:31:46.4964100Z set -eux
2025-08-26T20:31:46.4964253Z 
2025-08-26T20:31:46.4964540Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}"
2025-08-26T20:31:46.4968758Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:31:46.4968995Z env:
2025-08-26T20:31:46.4969154Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:31:46.4969440Z   DOCKER_CONTAINER_ID: 90499a7c701efa72093b821bf75e94463c3a8c509b45aa717ecbc8b72d32203d
2025-08-26T20:31:46.4969732Z   DEVICE_NAME: 
2025-08-26T20:31:46.4969890Z   DEVICE_TYPE: 
2025-08-26T20:31:46.4970155Z   GITHUB_TOKEN: ***
2025-08-26T20:31:46.4970315Z ##[endgroup]
2025-08-26T20:31:46.4988520Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 17248463670 i-0e4d03f5ccda2c09d
2025-08-26T20:31:47.5903872Z setting job-id=48946862612
2025-08-26T20:31:47.5904452Z setting job-name=linux-jammy-cpu-py3.9-gcc11-inductor / test (inductor_torchbench_cpu_smoketest_perf, 1, 1, linux.24xl.spr-metal)
2025-08-26T20:31:47.5982971Z ##[group]Run set -eux
2025-08-26T20:31:47.5983156Z set -eux
2025-08-26T20:31:47.5983306Z 
2025-08-26T20:31:47.5983550Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \
2025-08-26T20:31:47.5983861Z   --schema-version "${SCHEMA_VERSION}" \
2025-08-26T20:31:47.5984082Z   --repo "${REPO}" \
2025-08-26T20:31:47.5984291Z   --head-branch "${HEAD_BRANCH}" \
2025-08-26T20:31:47.5984494Z   --head-sha "${HEAD_SHA}" \
2025-08-26T20:31:47.5984707Z   --workflow-id "${WORKFLOW_RUN_ID}" \
2025-08-26T20:31:47.5984923Z   --run-attempt "${RUN_ATTEMPT}" \
2025-08-26T20:31:47.5985128Z   --job-id "${JOB_ID}" \
2025-08-26T20:31:47.5985321Z   --job-name "${JOB_NAME}"
2025-08-26T20:31:47.5989024Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:31:47.5989261Z env:
2025-08-26T20:31:47.5989413Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:31:47.5989686Z   DOCKER_CONTAINER_ID: 90499a7c701efa72093b821bf75e94463c3a8c509b45aa717ecbc8b72d32203d
2025-08-26T20:31:47.5989978Z   DEVICE_NAME: 
2025-08-26T20:31:47.5990135Z   DEVICE_TYPE: 
2025-08-26T20:31:47.5990293Z   SCHEMA_VERSION: v3
2025-08-26T20:31:47.5990455Z   REPO: pytorch/pytorch
2025-08-26T20:31:47.5990631Z   HEAD_BRANCH: refs/heads/main
2025-08-26T20:31:47.5990834Z   HEAD_SHA: 262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T20:31:47.5991046Z   WORKFLOW_RUN_ID: 17248463670
2025-08-26T20:31:47.5991212Z   RUN_ATTEMPT: 1
2025-08-26T20:31:47.5991370Z   JOB_ID: 48946862612
2025-08-26T20:31:47.5991725Z   JOB_NAME: linux-jammy-cpu-py3.9-gcc11-inductor / test (inductor_torchbench_cpu_smoketest_perf, 1, 1, linux.24xl.spr-metal)
2025-08-26T20:31:47.5992140Z ##[endgroup]
2025-08-26T20:31:47.6013059Z + 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 262640fd220236042fbf4443cc163c8838c84c3d --workflow-id 17248463670 --run-attempt 1 --job-id 48946862612 --job-name 'linux-jammy-cpu-py3.9-gcc11-inductor / test (inductor_torchbench_cpu_smoketest_perf, 1, 1, linux.24xl.spr-metal)'
2025-08-26T20:31:47.6243098Z ##[group]Run set -eux
2025-08-26T20:31:47.6243274Z set -eux
2025-08-26T20:31:47.6243480Z 
2025-08-26T20:31:47.6243726Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py"
2025-08-26T20:31:47.6247333Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:31:47.6247568Z env:
2025-08-26T20:31:47.6247728Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:31:47.6248009Z   DOCKER_CONTAINER_ID: 90499a7c701efa72093b821bf75e94463c3a8c509b45aa717ecbc8b72d32203d
2025-08-26T20:31:47.6248297Z   DEVICE_NAME: 
2025-08-26T20:31:47.6248455Z   DEVICE_TYPE: 
2025-08-26T20:31:47.6248612Z ##[endgroup]
2025-08-26T20:31:47.6264315Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py
2025-08-26T20:31:47.6543487Z INFO:root:Fail to import torch to get the device name
2025-08-26T20:31:47.6622882Z ##[group]Run set -eux
2025-08-26T20:31:47.6623062Z set -eux
2025-08-26T20:31:47.6623214Z 
2025-08-26T20:31:47.6623406Z # TODO (huydhn): Implement this part
2025-08-26T20:31:47.6623653Z echo "dependencies={}" >> "${GITHUB_OUTPUT}"
2025-08-26T20:31:47.6627025Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:31:47.6627253Z env:
2025-08-26T20:31:47.6627412Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:31:47.6627692Z   DOCKER_CONTAINER_ID: 90499a7c701efa72093b821bf75e94463c3a8c509b45aa717ecbc8b72d32203d
2025-08-26T20:31:47.6628057Z   DEVICE_NAME: 
2025-08-26T20:31:47.6628213Z   DEVICE_TYPE: 
2025-08-26T20:31:47.6628365Z ##[endgroup]
2025-08-26T20:31:47.6641984Z + echo 'dependencies={}'
2025-08-26T20:31:47.6658944Z ##[group]Run set -eux
2025-08-26T20:31:47.6659138Z set -eux
2025-08-26T20:31:47.6659296Z 
2025-08-26T20:31:47.6659471Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then
2025-08-26T20:31:47.6659745Z   echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping"
2025-08-26T20:31:47.6660038Z   # We don't want the job to fail if the directory doesn't exist
2025-08-26T20:31:47.6660283Z   exit 0
2025-08-26T20:31:47.6660431Z fi
2025-08-26T20:31:47.6660567Z 
2025-08-26T20:31:47.6660730Z if [[ "${DRY_RUN}" == "true" ]]; then
2025-08-26T20:31:47.6661016Z   python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \
2025-08-26T20:31:47.6661362Z     --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \
2025-08-26T20:31:47.6661625Z     --metadata "${BENCHMARK_METADATA}" \
2025-08-26T20:31:47.6661847Z     --runners "${RUNNER_INFO}" \
2025-08-26T20:31:47.6662065Z     --dependencies "${DEPENDENCIES}" \
2025-08-26T20:31:47.6662270Z     --dry-run
2025-08-26T20:31:47.6662427Z else
2025-08-26T20:31:47.6662660Z   python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \
2025-08-26T20:31:47.6662971Z     --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \
2025-08-26T20:31:47.6663220Z     --metadata "${BENCHMARK_METADATA}" \
2025-08-26T20:31:47.6663437Z     --runners "${RUNNER_INFO}" \
2025-08-26T20:31:47.6663640Z     --dependencies "${DEPENDENCIES}"
2025-08-26T20:31:47.6663832Z fi
2025-08-26T20:31:47.6667887Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:31:47.6668111Z env:
2025-08-26T20:31:47.6668262Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:31:47.6668542Z   DOCKER_CONTAINER_ID: 90499a7c701efa72093b821bf75e94463c3a8c509b45aa717ecbc8b72d32203d
2025-08-26T20:31:47.6668822Z   DEVICE_NAME: 
2025-08-26T20:31:47.6668974Z   DEVICE_TYPE: 
2025-08-26T20:31:47.6669143Z   BENCHMARK_RESULTS_DIR: test/test-reports
2025-08-26T20:31:47.6669339Z   DRY_RUN: false
2025-08-26T20:31:47.6670121Z   BENCHMARK_METADATA: {"timestamp": 1756240307, "schema_version": "v3", "name": "linux-jammy-cpu-py3.9-gcc11-inductor / test (inductor_torchbench_cpu_smoketest_perf, 1, 1, linux.24xl.spr-metal)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "262640fd220236042fbf4443cc163c8838c84c3d", "workflow_id": 17248463670, "run_attempt": 1, "job_id": 48946862612}
2025-08-26T20:31:47.6671129Z   RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 96, "avail_mem_in_gb": 188, "extra_info": {"hostname": "ip-10-0-38-113.ec2.internal"}, "name": "", "type": ""}]
2025-08-26T20:31:47.6671480Z   DEPENDENCIES: {}
2025-08-26T20:31:47.6671641Z ##[endgroup]
2025-08-26T20:31:47.6687183Z + [[ ! -d test/test-reports ]]
2025-08-26T20:31:47.6687388Z + [[ false == \t\r\u\e ]]
2025-08-26T20:31:47.6688924Z + 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": 1756240307, "schema_version": "v3", "name": "linux-jammy-cpu-py3.9-gcc11-inductor / test (inductor_torchbench_cpu_smoketest_perf, 1, 1, linux.24xl.spr-metal)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "262640fd220236042fbf4443cc163c8838c84c3d", "workflow_id": 17248463670, "run_attempt": 1, "job_id": 48946862612}' --runners '[{"cpu_info": "x86_64", "cpu_count": 96, "avail_mem_in_gb": 188, "extra_info": {"hostname": "ip-10-0-38-113.ec2.internal"}, "name": "", "type": ""}]' --dependencies '{}'
2025-08-26T20:31:47.7618418Z INFO:root:Upload test/test-reports/inductor_inference_phlippe_densenet_inductor_float32_static_cpu_smoketest.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17248463670/48946862612/inductor_inference_phlippe_densenet_inductor_float32_static_cpu_smoketest.json
2025-08-26T20:31:47.7791018Z INFO:botocore.credentials:Found credentials from IAM Role: gh-ci-github-action-runners-runner-role
2025-08-26T20:31:47.9058573Z 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/17248463670/48946862612/inductor_inference_phlippe_densenet_inductor_float32_static_cpu_smoketest_compilation_metrics.json
2025-08-26T20:31:47.9777533Z INFO:root:Upload test/test-reports/inductor_inference_basic_gnn_edgecnn_inductor_float32_dynamic_cpu_smoketest.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17248463670/48946862612/inductor_inference_basic_gnn_edgecnn_inductor_float32_dynamic_cpu_smoketest.json
2025-08-26T20:31:48.0703538Z 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/17248463670/48946862612/inductor_inference_basic_gnn_edgecnn_inductor_float32_dynamic_cpu_smoketest_compilation_metrics.json
2025-08-26T20:31:48.1411730Z 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/17248463670/48946862612/inductor_inference_llama_v2_7b_16h_inductor_float32_dynamic_cpu_smoketest.json
2025-08-26T20:31:48.2351488Z 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/17248463670/48946862612/inductor_inference_llama_v2_7b_16h_inductor_float32_dynamic_cpu_smoketest_compilation_metrics.json
2025-08-26T20:31:48.4351416Z INFO:root:Upload test/test-reports/inductor_inference_resnet50_inductor_float32_dynamic_cpu_smoketest.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17248463670/48946862612/inductor_inference_resnet50_inductor_float32_dynamic_cpu_smoketest.json
2025-08-26T20:31:48.5350973Z INFO:root:Upload test/test-reports/inductor_inference_resnet50_inductor_float32_dynamic_cpu_smoketest_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17248463670/48946862612/inductor_inference_resnet50_inductor_float32_dynamic_cpu_smoketest_compilation_metrics.json
2025-08-26T20:31:48.6097453Z INFO:root:Upload test/test-reports/inductor_inference_mobilenet_v3_large_inductor_float32_static_cpu_smoketest.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17248463670/48946862612/inductor_inference_mobilenet_v3_large_inductor_float32_static_cpu_smoketest.json
2025-08-26T20:31:48.6927389Z 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/17248463670/48946862612/inductor_inference_mobilenet_v3_large_inductor_float32_static_cpu_smoketest_compilation_metrics.json
2025-08-26T20:31:48.7670763Z INFO:root:Upload test/test-reports/inductor_inference_timm_resnest_inductor_float32_dynamic_cpu_smoketest.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17248463670/48946862612/inductor_inference_timm_resnest_inductor_float32_dynamic_cpu_smoketest.json
2025-08-26T20:31:48.8305689Z INFO:root:Upload test/test-reports/inductor_inference_timm_resnest_inductor_float32_dynamic_cpu_smoketest_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17248463670/48946862612/inductor_inference_timm_resnest_inductor_float32_dynamic_cpu_smoketest_compilation_metrics.json
2025-08-26T20:31:48.9092387Z INFO:root:Upload test/test-reports/inductor_inference_functorch_maml_omniglot_inductor_float32_dynamic_cpu_smoketest.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17248463670/48946862612/inductor_inference_functorch_maml_omniglot_inductor_float32_dynamic_cpu_smoketest.json
2025-08-26T20:31:48.9790369Z 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/17248463670/48946862612/inductor_inference_functorch_maml_omniglot_inductor_float32_dynamic_cpu_smoketest_compilation_metrics.json
2025-08-26T20:31:49.0489414Z INFO:root:Upload test/test-reports/inductor_inference_yolov3_export-aot-inductor_float32_static_cpu_smoketest.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17248463670/48946862612/inductor_inference_yolov3_export-aot-inductor_float32_static_cpu_smoketest.json
2025-08-26T20:31:49.1130510Z 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/17248463670/48946862612/inductor_inference_yolov3_export-aot-inductor_float32_static_cpu_smoketest_compilation_metrics.json
2025-08-26T20:31:49.1830976Z 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/17248463670/48946862612/inductor_inference_mobilenet_v2_export-aot-inductor_float32_static_cpu_smoketest.json
2025-08-26T20:31:49.2446373Z 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/17248463670/48946862612/inductor_inference_mobilenet_v2_export-aot-inductor_float32_static_cpu_smoketest_compilation_metrics.json
2025-08-26T20:31:49.3300121Z 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/17248463670/48946862612/inductor_inference_resnext50_32x4d_export-aot-inductor_float32_dynamic_cpu_smoketest.json
2025-08-26T20:31:49.4157600Z 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/17248463670/48946862612/inductor_inference_resnext50_32x4d_export-aot-inductor_float32_dynamic_cpu_smoketest_compilation_metrics.json
2025-08-26T20:31:49.4846521Z INFO:root:Upload test/test-reports/inductor_inference_hf_Albert_export-aot-inductor_float32_dynamic_cpu_smoketest.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17248463670/48946862612/inductor_inference_hf_Albert_export-aot-inductor_float32_dynamic_cpu_smoketest.json
2025-08-26T20:31:49.5501761Z INFO:root:Upload test/test-reports/inductor_inference_hf_Albert_export-aot-inductor_float32_dynamic_cpu_smoketest_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17248463670/48946862612/inductor_inference_hf_Albert_export-aot-inductor_float32_dynamic_cpu_smoketest_compilation_metrics.json
2025-08-26T20:31:49.6144700Z INFO:root:Upload test/test-reports/inductor_inference_resnext50_32x4d_inductor_amp_static_cpu_smoketest.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17248463670/48946862612/inductor_inference_resnext50_32x4d_inductor_amp_static_cpu_smoketest.json
2025-08-26T20:31:49.6564718Z 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/17248463670/48946862612/inductor_inference_resnext50_32x4d_inductor_amp_static_cpu_smoketest_compilation_metrics.json
2025-08-26T20:31:49.7321849Z INFO:root:Upload test/test-reports/inductor_inference_vgg16_inductor_amp_static_cpu_smoketest.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17248463670/48946862612/inductor_inference_vgg16_inductor_amp_static_cpu_smoketest.json
2025-08-26T20:31:49.8049382Z INFO:root:Upload test/test-reports/inductor_inference_vgg16_inductor_amp_static_cpu_smoketest_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17248463670/48946862612/inductor_inference_vgg16_inductor_amp_static_cpu_smoketest_compilation_metrics.json
2025-08-26T20:31:49.9144689Z INFO:root:Upload test/test-reports/inductor_inference_hf_Longformer_inductor_amp_dynamic_cpu_smoketest.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17248463670/48946862612/inductor_inference_hf_Longformer_inductor_amp_dynamic_cpu_smoketest.json
2025-08-26T20:31:50.0001975Z INFO:root:Upload test/test-reports/inductor_inference_hf_Longformer_inductor_amp_dynamic_cpu_smoketest_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17248463670/48946862612/inductor_inference_hf_Longformer_inductor_amp_dynamic_cpu_smoketest_compilation_metrics.json
2025-08-26T20:31:50.0710904Z INFO:root:Upload test/test-reports/inductor_inference_hf_Bert_large_inductor_amp_dynamic_cpu_smoketest.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17248463670/48946862612/inductor_inference_hf_Bert_large_inductor_amp_dynamic_cpu_smoketest.json
2025-08-26T20:31:50.1328574Z INFO:root:Upload test/test-reports/inductor_inference_hf_Bert_large_inductor_amp_dynamic_cpu_smoketest_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17248463670/48946862612/inductor_inference_hf_Bert_large_inductor_amp_dynamic_cpu_smoketest_compilation_metrics.json
2025-08-26T20:31:50.1985435Z INFO:root:Upload test/test-reports/inductor_inference_llama_inductor_amp_static_cpu_smoketest.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17248463670/48946862612/inductor_inference_llama_inductor_amp_static_cpu_smoketest.json
2025-08-26T20:31:50.2696210Z INFO:root:Upload test/test-reports/inductor_inference_llama_inductor_amp_static_cpu_smoketest_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17248463670/48946862612/inductor_inference_llama_inductor_amp_static_cpu_smoketest_compilation_metrics.json
2025-08-26T20:31:50.3455310Z INFO:root:Upload test/test-reports/inductor_inference_timm_regnet_inductor_amp_static_cpu_smoketest.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17248463670/48946862612/inductor_inference_timm_regnet_inductor_amp_static_cpu_smoketest.json
2025-08-26T20:31:50.4453199Z INFO:root:Upload test/test-reports/inductor_inference_timm_regnet_inductor_amp_static_cpu_smoketest_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17248463670/48946862612/inductor_inference_timm_regnet_inductor_amp_static_cpu_smoketest_compilation_metrics.json
2025-08-26T20:31:50.5093260Z INFO:root:Upload test/test-reports/inductor_inference_mnasnet1_0_inductor_amp_static_cpu_smoketest.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17248463670/48946862612/inductor_inference_mnasnet1_0_inductor_amp_static_cpu_smoketest.json
2025-08-26T20:31:50.5836289Z 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/17248463670/48946862612/inductor_inference_mnasnet1_0_inductor_amp_static_cpu_smoketest_compilation_metrics.json
2025-08-26T20:31:50.6744158Z INFO:root:Upload test/test-reports/inductor_inference_timm_vovnet_inductor_amp_dynamic_cpu_smoketest.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17248463670/48946862612/inductor_inference_timm_vovnet_inductor_amp_dynamic_cpu_smoketest.json
2025-08-26T20:31:50.7349178Z INFO:root:Upload test/test-reports/inductor_inference_timm_vovnet_inductor_amp_dynamic_cpu_smoketest_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17248463670/48946862612/inductor_inference_timm_vovnet_inductor_amp_dynamic_cpu_smoketest_compilation_metrics.json
2025-08-26T20:31:50.8175799Z INFO:root:Upload test/test-reports/inductor_inference_hf_GPT2_export-aot-inductor_amp_static_cpu_smoketest.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17248463670/48946862612/inductor_inference_hf_GPT2_export-aot-inductor_amp_static_cpu_smoketest.json
2025-08-26T20:31:50.8824374Z INFO:root:Upload test/test-reports/inductor_inference_hf_GPT2_export-aot-inductor_amp_static_cpu_smoketest_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17248463670/48946862612/inductor_inference_hf_GPT2_export-aot-inductor_amp_static_cpu_smoketest_compilation_metrics.json
2025-08-26T20:31:50.9539484Z INFO:root:Upload test/test-reports/inductor_inference_densenet121_export-aot-inductor_amp_static_cpu_smoketest.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17248463670/48946862612/inductor_inference_densenet121_export-aot-inductor_amp_static_cpu_smoketest.json
2025-08-26T20:31:51.0335769Z 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/17248463670/48946862612/inductor_inference_densenet121_export-aot-inductor_amp_static_cpu_smoketest_compilation_metrics.json
2025-08-26T20:31:51.1445357Z INFO:root:Upload test/test-reports/inductor_inference_hf_DistilBert_export-aot-inductor_amp_dynamic_cpu_smoketest.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17248463670/48946862612/inductor_inference_hf_DistilBert_export-aot-inductor_amp_dynamic_cpu_smoketest.json
2025-08-26T20:31:51.2035183Z INFO:root:Upload test/test-reports/inductor_inference_hf_DistilBert_export-aot-inductor_amp_dynamic_cpu_smoketest_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17248463670/48946862612/inductor_inference_hf_DistilBert_export-aot-inductor_amp_dynamic_cpu_smoketest_compilation_metrics.json
2025-08-26T20:31:51.2944351Z INFO:root:Upload test/test-reports/inductor_inference_hf_Bart_export-aot-inductor_amp_dynamic_cpu_smoketest.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17248463670/48946862612/inductor_inference_hf_Bart_export-aot-inductor_amp_dynamic_cpu_smoketest.json
2025-08-26T20:31:51.3685973Z INFO:root:Upload test/test-reports/inductor_inference_hf_Bart_export-aot-inductor_amp_dynamic_cpu_smoketest_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17248463670/48946862612/inductor_inference_hf_Bart_export-aot-inductor_amp_dynamic_cpu_smoketest_compilation_metrics.json
2025-08-26T20:31:51.4676876Z ##[group]Run cat test/**/*_toprint.log || true
2025-08-26T20:31:51.4677227Z cat test/**/*_toprint.log || true
2025-08-26T20:31:51.4681150Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:31:51.4681385Z env:
2025-08-26T20:31:51.4681544Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:31:51.4681825Z   DOCKER_CONTAINER_ID: 90499a7c701efa72093b821bf75e94463c3a8c509b45aa717ecbc8b72d32203d
2025-08-26T20:31:51.4682113Z   DEVICE_NAME: 
2025-08-26T20:31:51.4682272Z   DEVICE_TYPE: 
2025-08-26T20:31:51.4682427Z ##[endgroup]
2025-08-26T20:31:51.4743023Z cat: 'test/**/*_toprint.log': No such file or directory
2025-08-26T20:31:51.4766311Z ##[group]Run kill "$MONITOR_SCRIPT_PID"
2025-08-26T20:31:51.4766552Z kill "$MONITOR_SCRIPT_PID"
2025-08-26T20:31:51.4770317Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:31:51.4770602Z env:
2025-08-26T20:31:51.4770763Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:31:51.4771052Z   DOCKER_CONTAINER_ID: 90499a7c701efa72093b821bf75e94463c3a8c509b45aa717ecbc8b72d32203d
2025-08-26T20:31:51.4771341Z   DEVICE_NAME: 
2025-08-26T20:31:51.4771508Z   DEVICE_TYPE: 
2025-08-26T20:31:51.4771679Z   MONITOR_SCRIPT_PID: 57585
2025-08-26T20:31:51.4771860Z ##[endgroup]
2025-08-26T20:31:51.4852835Z Prepare all required actions
2025-08-26T20:31:51.4853139Z Getting action download info
2025-08-26T20:31:51.6589619Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a)
2025-08-26T20:31:51.8523488Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02)
2025-08-26T20:31:52.1792494Z ##[group]Run ./.github/actions/upload-test-artifacts
2025-08-26T20:31:52.1792718Z with:
2025-08-26T20:31:52.1792988Z   file-suffix: test-inductor_torchbench_cpu_smoketest_perf-1-1-linux.24xl.spr-metal_48946862612
2025-08-26T20:31:52.1793310Z   s3-bucket: gha-artifacts
2025-08-26T20:31:52.1793483Z env:
2025-08-26T20:31:52.1793627Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:31:52.1793897Z   DOCKER_CONTAINER_ID: 90499a7c701efa72093b821bf75e94463c3a8c509b45aa717ecbc8b72d32203d
2025-08-26T20:31:52.1794189Z   DEVICE_NAME: 
2025-08-26T20:31:52.1794346Z   DEVICE_TYPE: 
2025-08-26T20:31:52.1794503Z ##[endgroup]
2025-08-26T20:31:52.1813866Z ##[group]Run # Remove any previous test jsons if they exist
2025-08-26T20:31:52.1814161Z # Remove any previous test jsons if they exist
2025-08-26T20:31:52.1814385Z rm -f test-jsons-*.zip
2025-08-26T20:31:52.1814652Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json'
2025-08-26T20:31:52.1818125Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:31:52.1818363Z env:
2025-08-26T20:31:52.1818508Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:31:52.1818787Z   DOCKER_CONTAINER_ID: 90499a7c701efa72093b821bf75e94463c3a8c509b45aa717ecbc8b72d32203d
2025-08-26T20:31:52.1819088Z   DEVICE_NAME: 
2025-08-26T20:31:52.1819247Z   DEVICE_TYPE: 
2025-08-26T20:31:52.1819528Z   FILE_SUFFIX: test-inductor_torchbench_cpu_smoketest_perf-1-1-linux.24xl.spr-metal_48946862612
2025-08-26T20:31:52.1819830Z ##[endgroup]
2025-08-26T20:31:52.1926663Z   adding: test/test-reports/inductor_inference_phlippe_densenet_inductor_float32_static_cpu_smoketest.json (deflated 96%)
2025-08-26T20:31:52.1930900Z   adding: test/test-reports/inductor_inference_phlippe_densenet_inductor_float32_static_cpu_smoketest_compilation_metrics.json (deflated 97%)
2025-08-26T20:31:52.1933284Z   adding: test/test-reports/inductor_inference_basic_gnn_edgecnn_inductor_float32_dynamic_cpu_smoketest.json (deflated 96%)
2025-08-26T20:31:52.1937779Z   adding: test/test-reports/inductor_inference_basic_gnn_edgecnn_inductor_float32_dynamic_cpu_smoketest_compilation_metrics.json (deflated 97%)
2025-08-26T20:31:52.1940148Z   adding: test/test-reports/inductor_inference_llama_v2_7b_16h_inductor_float32_dynamic_cpu_smoketest.json (deflated 96%)
2025-08-26T20:31:52.1944711Z   adding: test/test-reports/inductor_inference_llama_v2_7b_16h_inductor_float32_dynamic_cpu_smoketest_compilation_metrics.json (deflated 97%)
2025-08-26T20:31:52.1947080Z   adding: test/test-reports/inductor_inference_resnet50_inductor_float32_dynamic_cpu_smoketest.json (deflated 96%)
2025-08-26T20:31:52.1951468Z   adding: test/test-reports/inductor_inference_resnet50_inductor_float32_dynamic_cpu_smoketest_compilation_metrics.json (deflated 97%)
2025-08-26T20:31:52.1953799Z   adding: test/test-reports/inductor_inference_mobilenet_v3_large_inductor_float32_static_cpu_smoketest.json (deflated 96%)
2025-08-26T20:31:52.1958220Z   adding: test/test-reports/inductor_inference_mobilenet_v3_large_inductor_float32_static_cpu_smoketest_compilation_metrics.json (deflated 97%)
2025-08-26T20:31:52.1960531Z   adding: test/test-reports/inductor_inference_timm_resnest_inductor_float32_dynamic_cpu_smoketest.json (deflated 96%)
2025-08-26T20:31:52.1964959Z   adding: test/test-reports/inductor_inference_timm_resnest_inductor_float32_dynamic_cpu_smoketest_compilation_metrics.json (deflated 97%)
2025-08-26T20:31:52.1967550Z   adding: test/test-reports/inductor_inference_functorch_maml_omniglot_inductor_float32_dynamic_cpu_smoketest.json (deflated 96%)
2025-08-26T20:31:52.1972102Z   adding: test/test-reports/inductor_inference_functorch_maml_omniglot_inductor_float32_dynamic_cpu_smoketest_compilation_metrics.json (deflated 97%)
2025-08-26T20:31:52.1974123Z   adding: test/test-reports/inductor_inference_yolov3_export-aot-inductor_float32_static_cpu_smoketest.json (deflated 96%)
2025-08-26T20:31:52.1977311Z   adding: test/test-reports/inductor_inference_yolov3_export-aot-inductor_float32_static_cpu_smoketest_compilation_metrics.json (deflated 97%)
2025-08-26T20:31:52.1979623Z   adding: test/test-reports/inductor_inference_mobilenet_v2_export-aot-inductor_float32_static_cpu_smoketest.json (deflated 96%)
2025-08-26T20:31:52.1982664Z   adding: test/test-reports/inductor_inference_mobilenet_v2_export-aot-inductor_float32_static_cpu_smoketest_compilation_metrics.json (deflated 97%)
2025-08-26T20:31:52.1984939Z   adding: test/test-reports/inductor_inference_resnext50_32x4d_export-aot-inductor_float32_dynamic_cpu_smoketest.json (deflated 96%)
2025-08-26T20:31:52.1988128Z   adding: test/test-reports/inductor_inference_resnext50_32x4d_export-aot-inductor_float32_dynamic_cpu_smoketest_compilation_metrics.json (deflated 97%)
2025-08-26T20:31:52.1990344Z   adding: test/test-reports/inductor_inference_hf_Albert_export-aot-inductor_float32_dynamic_cpu_smoketest.json (deflated 96%)
2025-08-26T20:31:52.1993391Z   adding: test/test-reports/inductor_inference_hf_Albert_export-aot-inductor_float32_dynamic_cpu_smoketest_compilation_metrics.json (deflated 96%)
2025-08-26T20:31:52.1995656Z   adding: test/test-reports/inductor_inference_resnext50_32x4d_inductor_amp_static_cpu_smoketest.json (deflated 96%)
2025-08-26T20:31:52.2000130Z   adding: test/test-reports/inductor_inference_resnext50_32x4d_inductor_amp_static_cpu_smoketest_compilation_metrics.json (deflated 97%)
2025-08-26T20:31:52.2002375Z   adding: test/test-reports/inductor_inference_vgg16_inductor_amp_static_cpu_smoketest.json (deflated 96%)
2025-08-26T20:31:52.2006639Z   adding: test/test-reports/inductor_inference_vgg16_inductor_amp_static_cpu_smoketest_compilation_metrics.json (deflated 97%)
2025-08-26T20:31:52.2008882Z   adding: test/test-reports/inductor_inference_hf_Longformer_inductor_amp_dynamic_cpu_smoketest.json (deflated 96%)
2025-08-26T20:31:52.2013154Z   adding: test/test-reports/inductor_inference_hf_Longformer_inductor_amp_dynamic_cpu_smoketest_compilation_metrics.json (deflated 97%)
2025-08-26T20:31:52.2015414Z   adding: test/test-reports/inductor_inference_hf_Bert_large_inductor_amp_dynamic_cpu_smoketest.json (deflated 96%)
2025-08-26T20:31:52.2019533Z   adding: test/test-reports/inductor_inference_hf_Bert_large_inductor_amp_dynamic_cpu_smoketest_compilation_metrics.json (deflated 97%)
2025-08-26T20:31:52.2021697Z   adding: test/test-reports/inductor_inference_llama_inductor_amp_static_cpu_smoketest.json (deflated 96%)
2025-08-26T20:31:52.2025798Z   adding: test/test-reports/inductor_inference_llama_inductor_amp_static_cpu_smoketest_compilation_metrics.json (deflated 97%)
2025-08-26T20:31:52.2028021Z   adding: test/test-reports/inductor_inference_timm_regnet_inductor_amp_static_cpu_smoketest.json (deflated 96%)
2025-08-26T20:31:52.2032212Z   adding: test/test-reports/inductor_inference_timm_regnet_inductor_amp_static_cpu_smoketest_compilation_metrics.json (deflated 97%)
2025-08-26T20:31:52.2034483Z   adding: test/test-reports/inductor_inference_mnasnet1_0_inductor_amp_static_cpu_smoketest.json (deflated 96%)
2025-08-26T20:31:52.2038665Z   adding: test/test-reports/inductor_inference_mnasnet1_0_inductor_amp_static_cpu_smoketest_compilation_metrics.json (deflated 97%)
2025-08-26T20:31:52.2040871Z   adding: test/test-reports/inductor_inference_timm_vovnet_inductor_amp_dynamic_cpu_smoketest.json (deflated 96%)
2025-08-26T20:31:52.2045111Z   adding: test/test-reports/inductor_inference_timm_vovnet_inductor_amp_dynamic_cpu_smoketest_compilation_metrics.json (deflated 97%)
2025-08-26T20:31:52.2047347Z   adding: test/test-reports/inductor_inference_hf_GPT2_export-aot-inductor_amp_static_cpu_smoketest.json (deflated 96%)
2025-08-26T20:31:52.2050284Z   adding: test/test-reports/inductor_inference_hf_GPT2_export-aot-inductor_amp_static_cpu_smoketest_compilation_metrics.json (deflated 96%)
2025-08-26T20:31:52.2052450Z   adding: test/test-reports/inductor_inference_densenet121_export-aot-inductor_amp_static_cpu_smoketest.json (deflated 96%)
2025-08-26T20:31:52.2055565Z   adding: test/test-reports/inductor_inference_densenet121_export-aot-inductor_amp_static_cpu_smoketest_compilation_metrics.json (deflated 97%)
2025-08-26T20:31:52.2057862Z   adding: test/test-reports/inductor_inference_hf_DistilBert_export-aot-inductor_amp_dynamic_cpu_smoketest.json (deflated 96%)
2025-08-26T20:31:52.2060932Z   adding: test/test-reports/inductor_inference_hf_DistilBert_export-aot-inductor_amp_dynamic_cpu_smoketest_compilation_metrics.json (deflated 96%)
2025-08-26T20:31:52.2063199Z   adding: test/test-reports/inductor_inference_hf_Bart_export-aot-inductor_amp_dynamic_cpu_smoketest.json (deflated 96%)
2025-08-26T20:31:52.2066118Z   adding: test/test-reports/inductor_inference_hf_Bart_export-aot-inductor_amp_dynamic_cpu_smoketest_compilation_metrics.json (deflated 96%)
2025-08-26T20:31:52.2092455Z ##[group]Run # Remove any previous test reports if they exist
2025-08-26T20:31:52.2092750Z # Remove any previous test reports if they exist
2025-08-26T20:31:52.2092990Z rm -f test-reports-*.zip
2025-08-26T20:31:52.2093280Z zip -r "test-reports-${FILE_SUFFIX}.zip" test/test-reports -i '*.xml' -i '*.csv'
2025-08-26T20:31:52.2097033Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:31:52.2097264Z env:
2025-08-26T20:31:52.2097414Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:31:52.2097700Z   DOCKER_CONTAINER_ID: 90499a7c701efa72093b821bf75e94463c3a8c509b45aa717ecbc8b72d32203d
2025-08-26T20:31:52.2097994Z   DEVICE_NAME: 
2025-08-26T20:31:52.2098157Z   DEVICE_TYPE: 
2025-08-26T20:31:52.2098434Z   FILE_SUFFIX: test-inductor_torchbench_cpu_smoketest_perf-1-1-linux.24xl.spr-metal_48946862612
2025-08-26T20:31:52.2098751Z ##[endgroup]
2025-08-26T20:31:52.2158027Z   adding: test/test-reports/inductor_inference_phlippe_densenet_inductor_float32_static_cpu_smoketest.csv (deflated 38%)
2025-08-26T20:31:52.2158616Z   adding: test/test-reports/inductor_inference_phlippe_densenet_inductor_float32_static_cpu_smoketest_compilation_metrics.csv (deflated 45%)
2025-08-26T20:31:52.2159177Z   adding: test/test-reports/inductor_inference_basic_gnn_edgecnn_inductor_float32_dynamic_cpu_smoketest.csv (deflated 38%)
2025-08-26T20:31:52.2159742Z   adding: test/test-reports/inductor_inference_basic_gnn_edgecnn_inductor_float32_dynamic_cpu_smoketest_compilation_metrics.csv (deflated 45%)
2025-08-26T20:31:52.2160306Z   adding: test/test-reports/inductor_inference_llama_v2_7b_16h_inductor_float32_dynamic_cpu_smoketest.csv (deflated 37%)
2025-08-26T20:31:52.2160842Z   adding: test/test-reports/inductor_inference_llama_v2_7b_16h_inductor_float32_dynamic_cpu_smoketest_compilation_metrics.csv (deflated 45%)
2025-08-26T20:31:52.2161425Z   adding: test/test-reports/inductor_inference_resnet50_inductor_float32_dynamic_cpu_smoketest.csv (deflated 38%)
2025-08-26T20:31:52.2161946Z   adding: test/test-reports/inductor_inference_resnet50_inductor_float32_dynamic_cpu_smoketest_compilation_metrics.csv (deflated 45%)
2025-08-26T20:31:52.2162474Z   adding: test/test-reports/inductor_inference_mobilenet_v3_large_inductor_float32_static_cpu_smoketest.csv (deflated 38%)
2025-08-26T20:31:52.2163028Z   adding: test/test-reports/inductor_inference_mobilenet_v3_large_inductor_float32_static_cpu_smoketest_compilation_metrics.csv (deflated 46%)
2025-08-26T20:31:52.2163568Z   adding: test/test-reports/inductor_inference_timm_resnest_inductor_float32_dynamic_cpu_smoketest.csv (deflated 39%)
2025-08-26T20:31:52.2164140Z   adding: test/test-reports/inductor_inference_timm_resnest_inductor_float32_dynamic_cpu_smoketest_compilation_metrics.csv (deflated 45%)
2025-08-26T20:31:52.2164696Z   adding: test/test-reports/inductor_inference_functorch_maml_omniglot_inductor_float32_dynamic_cpu_smoketest.csv (deflated 38%)
2025-08-26T20:31:52.2165344Z   adding: test/test-reports/inductor_inference_functorch_maml_omniglot_inductor_float32_dynamic_cpu_smoketest_compilation_metrics.csv (deflated 46%)
2025-08-26T20:31:52.2165989Z   adding: test/test-reports/inductor_inference_yolov3_export-aot-inductor_float32_static_cpu_smoketest.csv (deflated 39%)
2025-08-26T20:31:52.2166598Z   adding: test/test-reports/inductor_inference_yolov3_export-aot-inductor_float32_static_cpu_smoketest_compilation_metrics.csv (deflated 43%)
2025-08-26T20:31:52.2167216Z   adding: test/test-reports/inductor_inference_mobilenet_v2_export-aot-inductor_float32_static_cpu_smoketest.csv (deflated 39%)
2025-08-26T20:31:52.2167818Z   adding: test/test-reports/inductor_inference_mobilenet_v2_export-aot-inductor_float32_static_cpu_smoketest_compilation_metrics.csv (deflated 44%)
2025-08-26T20:31:52.2168443Z   adding: test/test-reports/inductor_inference_resnext50_32x4d_export-aot-inductor_float32_dynamic_cpu_smoketest.csv (deflated 40%)
2025-08-26T20:31:52.2169096Z   adding: test/test-reports/inductor_inference_resnext50_32x4d_export-aot-inductor_float32_dynamic_cpu_smoketest_compilation_metrics.csv (deflated 44%)
2025-08-26T20:31:52.2169718Z   adding: test/test-reports/inductor_inference_hf_Albert_export-aot-inductor_float32_dynamic_cpu_smoketest.csv (deflated 39%)
2025-08-26T20:31:52.2170315Z   adding: test/test-reports/inductor_inference_hf_Albert_export-aot-inductor_float32_dynamic_cpu_smoketest_compilation_metrics.csv (deflated 44%)
2025-08-26T20:31:52.2170919Z   adding: test/test-reports/inductor_inference_resnext50_32x4d_inductor_amp_static_cpu_smoketest.csv (deflated 38%)
2025-08-26T20:31:52.2171467Z   adding: test/test-reports/inductor_inference_resnext50_32x4d_inductor_amp_static_cpu_smoketest_compilation_metrics.csv (deflated 45%)
2025-08-26T20:31:52.2172108Z   adding: test/test-reports/inductor_inference_vgg16_inductor_amp_static_cpu_smoketest.csv (deflated 38%)
2025-08-26T20:31:52.2172617Z   adding: test/test-reports/inductor_inference_vgg16_inductor_amp_static_cpu_smoketest_compilation_metrics.csv (deflated 45%)
2025-08-26T20:31:52.2173221Z   adding: test/test-reports/inductor_inference_hf_Longformer_inductor_amp_dynamic_cpu_smoketest.csv (deflated 36%)
2025-08-26T20:31:52.2173773Z   adding: test/test-reports/inductor_inference_hf_Longformer_inductor_amp_dynamic_cpu_smoketest_compilation_metrics.csv (deflated 45%)
2025-08-26T20:31:52.2174305Z   adding: test/test-reports/inductor_inference_hf_Bert_large_inductor_amp_dynamic_cpu_smoketest.csv (deflated 37%)
2025-08-26T20:31:52.2174842Z   adding: test/test-reports/inductor_inference_hf_Bert_large_inductor_amp_dynamic_cpu_smoketest_compilation_metrics.csv (deflated 45%)
2025-08-26T20:31:52.2175363Z   adding: test/test-reports/inductor_inference_llama_inductor_amp_static_cpu_smoketest.csv (deflated 38%)
2025-08-26T20:31:52.2175869Z   adding: test/test-reports/inductor_inference_llama_inductor_amp_static_cpu_smoketest_compilation_metrics.csv (deflated 44%)
2025-08-26T20:31:52.2176422Z   adding: test/test-reports/inductor_inference_timm_regnet_inductor_amp_static_cpu_smoketest.csv (deflated 38%)
2025-08-26T20:31:52.2176951Z   adding: test/test-reports/inductor_inference_timm_regnet_inductor_amp_static_cpu_smoketest_compilation_metrics.csv (deflated 45%)
2025-08-26T20:31:52.2177478Z   adding: test/test-reports/inductor_inference_mnasnet1_0_inductor_amp_static_cpu_smoketest.csv (deflated 39%)
2025-08-26T20:31:52.2178008Z   adding: test/test-reports/inductor_inference_mnasnet1_0_inductor_amp_static_cpu_smoketest_compilation_metrics.csv (deflated 46%)
2025-08-26T20:31:52.2178541Z   adding: test/test-reports/inductor_inference_timm_vovnet_inductor_amp_dynamic_cpu_smoketest.csv (deflated 38%)
2025-08-26T20:31:52.2179107Z   adding: test/test-reports/inductor_inference_timm_vovnet_inductor_amp_dynamic_cpu_smoketest_compilation_metrics.csv (deflated 45%)
2025-08-26T20:31:52.2179665Z   adding: test/test-reports/inductor_inference_hf_GPT2_export-aot-inductor_amp_static_cpu_smoketest.csv (deflated 37%)
2025-08-26T20:31:52.2180275Z   adding: test/test-reports/inductor_inference_hf_GPT2_export-aot-inductor_amp_static_cpu_smoketest_compilation_metrics.csv (deflated 44%)
2025-08-26T20:31:52.2180847Z   adding: test/test-reports/inductor_inference_densenet121_export-aot-inductor_amp_static_cpu_smoketest.csv (deflated 39%)
2025-08-26T20:31:52.2181422Z   adding: test/test-reports/inductor_inference_densenet121_export-aot-inductor_amp_static_cpu_smoketest_compilation_metrics.csv (deflated 43%)
2025-08-26T20:31:52.2182004Z   adding: test/test-reports/inductor_inference_hf_DistilBert_export-aot-inductor_amp_dynamic_cpu_smoketest.csv (deflated 38%)
2025-08-26T20:31:52.2182586Z   adding: test/test-reports/inductor_inference_hf_DistilBert_export-aot-inductor_amp_dynamic_cpu_smoketest_compilation_metrics.csv (deflated 43%)
2025-08-26T20:31:52.2183158Z   adding: test/test-reports/inductor_inference_hf_Bart_export-aot-inductor_amp_dynamic_cpu_smoketest.csv (deflated 39%)
2025-08-26T20:31:52.2183713Z   adding: test/test-reports/inductor_inference_hf_Bart_export-aot-inductor_amp_dynamic_cpu_smoketest_compilation_metrics.csv (deflated 43%)
2025-08-26T20:31:52.2200507Z ##[group]Run # Remove any previous usage logs if they exist
2025-08-26T20:31:52.2200794Z # Remove any previous usage logs if they exist
2025-08-26T20:31:52.2201029Z rm -f logs-*.zip
2025-08-26T20:31:52.2201256Z zip "logs-${FILE_SUFFIX}.zip" 'usage_log.txt' || true
2025-08-26T20:31:52.2201554Z zip -r "logs-${FILE_SUFFIX}.zip" test/test-reports -i '*.log' || true
2025-08-26T20:31:52.2205091Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:31:52.2205330Z env:
2025-08-26T20:31:52.2205491Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:31:52.2205772Z   DOCKER_CONTAINER_ID: 90499a7c701efa72093b821bf75e94463c3a8c509b45aa717ecbc8b72d32203d
2025-08-26T20:31:52.2206071Z   DEVICE_NAME: 
2025-08-26T20:31:52.2206228Z   DEVICE_TYPE: 
2025-08-26T20:31:52.2206515Z   FILE_SUFFIX: test-inductor_torchbench_cpu_smoketest_perf-1-1-linux.24xl.spr-metal_48946862612
2025-08-26T20:31:52.2206826Z ##[endgroup]
2025-08-26T20:31:52.2251574Z   adding: usage_log.txt (deflated 94%)
2025-08-26T20:31:52.2262380Z 
2025-08-26T20:31:52.2262635Z zip error: Nothing to do! (logs-test-inductor_torchbench_cpu_smoketest_perf-1-1-linux.24xl.spr-metal_48946862612.zip)
2025-08-26T20:31:52.2281620Z ##[group]Run # Remove any previous debugging artifacts if they exist
2025-08-26T20:31:52.2281942Z # Remove any previous debugging artifacts if they exist
2025-08-26T20:31:52.2282188Z rm -f debug-*.zip
2025-08-26T20:31:52.2282380Z if [ -d 'test/debug' ]; then
2025-08-26T20:31:52.2282604Z   zip -r "debug-${FILE_SUFFIX}.zip" test/debug
2025-08-26T20:31:52.2282824Z fi
2025-08-26T20:31:52.2286160Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:31:52.2286394Z env:
2025-08-26T20:31:52.2286542Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:31:52.2286871Z   DOCKER_CONTAINER_ID: 90499a7c701efa72093b821bf75e94463c3a8c509b45aa717ecbc8b72d32203d
2025-08-26T20:31:52.2287166Z   DEVICE_NAME: 
2025-08-26T20:31:52.2287331Z   DEVICE_TYPE: 
2025-08-26T20:31:52.2287604Z   FILE_SUFFIX: test-inductor_torchbench_cpu_smoketest_perf-1-1-linux.24xl.spr-metal_48946862612
2025-08-26T20:31:52.2287915Z ##[endgroup]
2025-08-26T20:31:52.2365322Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-08-26T20:31:52.2365573Z with:
2025-08-26T20:31:52.2365802Z   s3-bucket: gha-artifacts
2025-08-26T20:31:52.2366052Z   s3-prefix: pytorch/pytorch/17248463670/1/artifact

2025-08-26T20:31:52.2366298Z   retention-days: 14
2025-08-26T20:31:52.2366485Z   if-no-files-found: warn
2025-08-26T20:31:52.2366689Z   path: test-jsons-*.zip
2025-08-26T20:31:52.2366932Z   name: artifact
2025-08-26T20:31:52.2367111Z   region: us-east-1
2025-08-26T20:31:52.2367279Z env:
2025-08-26T20:31:52.2367456Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:31:52.2367759Z   DOCKER_CONTAINER_ID: 90499a7c701efa72093b821bf75e94463c3a8c509b45aa717ecbc8b72d32203d
2025-08-26T20:31:52.2368101Z   DEVICE_NAME: 
2025-08-26T20:31:52.2368256Z   DEVICE_TYPE: 
2025-08-26T20:31:52.2368491Z ##[endgroup]
2025-08-26T20:31:52.4803384Z NOTE: s3-prefix specified, ignoring name parameter
2025-08-26T20:31:52.4803703Z With the provided path, there will be 1 file uploaded
2025-08-26T20:31:52.4803984Z Uploading to s3 prefix: pytorch/pytorch/17248463670/1/artifact
2025-08-26T20:31:52.4833214Z Starting upload of test-jsons-test-inductor_torchbench_cpu_smoketest_perf-1-1-linux.24xl.spr-metal_48946862612.zip
2025-08-26T20:31:52.6914791Z Finished upload of test-jsons-test-inductor_torchbench_cpu_smoketest_perf-1-1-linux.24xl.spr-metal_48946862612.zip
2025-08-26T20:31:52.7053992Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-08-26T20:31:52.7054220Z with:
2025-08-26T20:31:52.7054388Z   s3-bucket: gha-artifacts
2025-08-26T20:31:52.7054602Z   s3-prefix: pytorch/pytorch/17248463670/1/artifact

2025-08-26T20:31:52.7054811Z   retention-days: 14
2025-08-26T20:31:52.7054991Z   if-no-files-found: error
2025-08-26T20:31:52.7055176Z   path: test-reports-*.zip
2025-08-26T20:31:52.7055353Z   name: artifact
2025-08-26T20:31:52.7055501Z   region: us-east-1
2025-08-26T20:31:52.7055654Z env:
2025-08-26T20:31:52.7055795Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:31:52.7056071Z   DOCKER_CONTAINER_ID: 90499a7c701efa72093b821bf75e94463c3a8c509b45aa717ecbc8b72d32203d
2025-08-26T20:31:52.7056349Z   DEVICE_NAME: 
2025-08-26T20:31:52.7056499Z   DEVICE_TYPE: 
2025-08-26T20:31:52.7056650Z ##[endgroup]
2025-08-26T20:31:52.9312715Z NOTE: s3-prefix specified, ignoring name parameter
2025-08-26T20:31:52.9313023Z With the provided path, there will be 1 file uploaded
2025-08-26T20:31:52.9313291Z Uploading to s3 prefix: pytorch/pytorch/17248463670/1/artifact
2025-08-26T20:31:52.9341548Z Starting upload of test-reports-test-inductor_torchbench_cpu_smoketest_perf-1-1-linux.24xl.spr-metal_48946862612.zip
2025-08-26T20:31:53.0421617Z Finished upload of test-reports-test-inductor_torchbench_cpu_smoketest_perf-1-1-linux.24xl.spr-metal_48946862612.zip
2025-08-26T20:31:53.0540513Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-08-26T20:31:53.0540739Z with:
2025-08-26T20:31:53.0540899Z   s3-bucket: gha-artifacts
2025-08-26T20:31:53.0541111Z   s3-prefix: pytorch/pytorch/17248463670/1/artifact

2025-08-26T20:31:53.0541321Z   retention-days: 14
2025-08-26T20:31:53.0541485Z   if-no-files-found: ignore
2025-08-26T20:31:53.0541665Z   path: logs-*.zip
2025-08-26T20:31:53.0541822Z   name: artifact
2025-08-26T20:31:53.0541975Z   region: us-east-1
2025-08-26T20:31:53.0542120Z env:
2025-08-26T20:31:53.0542271Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:31:53.0542557Z   DOCKER_CONTAINER_ID: 90499a7c701efa72093b821bf75e94463c3a8c509b45aa717ecbc8b72d32203d
2025-08-26T20:31:53.0542856Z   DEVICE_NAME: 
2025-08-26T20:31:53.0543001Z   DEVICE_TYPE: 
2025-08-26T20:31:53.0543152Z ##[endgroup]
2025-08-26T20:31:53.2767280Z NOTE: s3-prefix specified, ignoring name parameter
2025-08-26T20:31:53.2767629Z With the provided path, there will be 1 file uploaded
2025-08-26T20:31:53.2768209Z Uploading to s3 prefix: pytorch/pytorch/17248463670/1/artifact
2025-08-26T20:31:53.2796201Z Starting upload of logs-test-inductor_torchbench_cpu_smoketest_perf-1-1-linux.24xl.spr-metal_48946862612.zip
2025-08-26T20:31:53.3839402Z Finished upload of logs-test-inductor_torchbench_cpu_smoketest_perf-1-1-linux.24xl.spr-metal_48946862612.zip
2025-08-26T20:31:53.3972511Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-08-26T20:31:53.3972721Z with:
2025-08-26T20:31:53.3972877Z   s3-bucket: gha-artifacts
2025-08-26T20:31:53.3973089Z   s3-prefix: pytorch/pytorch/17248463670/1/artifact

2025-08-26T20:31:53.3973305Z   retention-days: 14
2025-08-26T20:31:53.3973468Z   if-no-files-found: ignore
2025-08-26T20:31:53.3973713Z   path: debug-*.zip
2025-08-26T20:31:53.3973870Z   name: artifact
2025-08-26T20:31:53.3974023Z   region: us-east-1
2025-08-26T20:31:53.3974170Z env:
2025-08-26T20:31:53.3974318Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:31:53.3974600Z   DOCKER_CONTAINER_ID: 90499a7c701efa72093b821bf75e94463c3a8c509b45aa717ecbc8b72d32203d
2025-08-26T20:31:53.3974890Z   DEVICE_NAME: 
2025-08-26T20:31:53.3975141Z   DEVICE_TYPE: 
2025-08-26T20:31:53.3975296Z ##[endgroup]
2025-08-26T20:31:53.6135183Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded.
2025-08-26T20:31:53.6273842Z ##[group]Run # shellcheck disable=SC2156
2025-08-26T20:31:53.6274123Z # shellcheck disable=SC2156
2025-08-26T20:31:53.6274462Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \;
2025-08-26T20:31:53.6279538Z shell: /usr/bin/bash -e {0}
2025-08-26T20:31:53.6279728Z env:
2025-08-26T20:31:53.6279898Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:31:53.6280183Z   DOCKER_CONTAINER_ID: 90499a7c701efa72093b821bf75e94463c3a8c509b45aa717ecbc8b72d32203d
2025-08-26T20:31:53.6280489Z   DEVICE_NAME: 
2025-08-26T20:31:53.6280644Z   DEVICE_TYPE: 
2025-08-26T20:31:53.6280800Z ##[endgroup]
2025-08-26T20:31:53.7982139Z Prepare all required actions
2025-08-26T20:31:53.7982422Z Getting action download info
2025-08-26T20:31:53.9540339Z ##[group]Run ./.github/actions/upload-utilization-stats
2025-08-26T20:31:53.9540577Z with:
2025-08-26T20:31:53.9540738Z   job_id: 48946862612
2025-08-26T20:31:53.9541097Z   job_name: linux-jammy-cpu-py3.9-gcc11-inductor / test (inductor_torchbench_cpu_smoketest_perf, 1, 1, linux.24xl.spr-metal)
2025-08-26T20:31:53.9541477Z   workflow_name: inductor
2025-08-26T20:31:53.9541656Z   workflow_run_id: 17248463670
2025-08-26T20:31:53.9541845Z   workflow_attempt: 1
2025-08-26T20:31:53.9542006Z env:
2025-08-26T20:31:53.9542159Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:31:53.9542437Z   DOCKER_CONTAINER_ID: 90499a7c701efa72093b821bf75e94463c3a8c509b45aa717ecbc8b72d32203d
2025-08-26T20:31:53.9542746Z   DEVICE_NAME: 
2025-08-26T20:31:53.9542905Z   DEVICE_TYPE: 
2025-08-26T20:31:53.9543060Z ##[endgroup]
2025-08-26T20:31:53.9557911Z ##[group]Run echo "workflow_id: 17248463670"
2025-08-26T20:31:53.9558173Z echo "workflow_id: 17248463670"
2025-08-26T20:31:53.9558379Z echo "workflow_attempt: 1"
2025-08-26T20:31:53.9558575Z echo "workflow_Name: inductor"
2025-08-26T20:31:53.9558775Z echo "job_id: 48946862612"
2025-08-26T20:31:53.9559172Z echo "job_name:  linux-jammy-cpu-py3.9-gcc11-inductor / test (inductor_torchbench_cpu_smoketest_perf, 1, 1, linux.24xl.spr-metal)"
2025-08-26T20:31:53.9559566Z echo "artifact_prefix: "
2025-08-26T20:31:53.9559763Z python3 --version
2025-08-26T20:31:53.9564318Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:31:53.9564550Z env:
2025-08-26T20:31:53.9564701Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:31:53.9564983Z   DOCKER_CONTAINER_ID: 90499a7c701efa72093b821bf75e94463c3a8c509b45aa717ecbc8b72d32203d
2025-08-26T20:31:53.9565268Z   DEVICE_NAME: 
2025-08-26T20:31:53.9565426Z   DEVICE_TYPE: 
2025-08-26T20:31:53.9565587Z ##[endgroup]
2025-08-26T20:31:53.9583014Z workflow_id: 17248463670
2025-08-26T20:31:53.9583246Z workflow_attempt: 1
2025-08-26T20:31:53.9583415Z workflow_Name: inductor
2025-08-26T20:31:53.9583592Z job_id: 48946862612
2025-08-26T20:31:53.9583974Z job_name:  linux-jammy-cpu-py3.9-gcc11-inductor / test (inductor_torchbench_cpu_smoketest_perf, 1, 1, linux.24xl.spr-metal)
2025-08-26T20:31:53.9584351Z artifact_prefix: 
2025-08-26T20:31:53.9593546Z Python 3.9.23
2025-08-26T20:31:53.9622410Z ##[group]Run nick-fields/retry@v3.0.0
2025-08-26T20:31:53.9622615Z with:
2025-08-26T20:31:53.9622757Z   shell: bash
2025-08-26T20:31:53.9622910Z   timeout_minutes: 5
2025-08-26T20:31:53.9623071Z   max_attempts: 5
2025-08-26T20:31:53.9623234Z   retry_wait_seconds: 30
2025-08-26T20:31:53.9623551Z   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

2025-08-26T20:31:53.9623954Z   polling_interval_seconds: 1
2025-08-26T20:31:53.9624135Z   warning_on_retry: true
2025-08-26T20:31:53.9624314Z   continue_on_error: false
2025-08-26T20:31:53.9624486Z env:
2025-08-26T20:31:53.9624636Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:31:53.9624910Z   DOCKER_CONTAINER_ID: 90499a7c701efa72093b821bf75e94463c3a8c509b45aa717ecbc8b72d32203d
2025-08-26T20:31:53.9625198Z   DEVICE_NAME: 
2025-08-26T20:31:53.9625354Z   DEVICE_TYPE: 
2025-08-26T20:31:53.9625500Z ##[endgroup]
2025-08-26T20:31:54.1943182Z Defaulting to user installation because normal site-packages is not writeable
2025-08-26T20:31:54.2476516Z Collecting python-dateutil==2.8.2
2025-08-26T20:31:54.2592261Z   Downloading python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB)
2025-08-26T20:31:54.8837209Z Collecting boto3==1.35.42
2025-08-26T20:31:54.8862013Z   Downloading boto3-1.35.42-py3-none-any.whl (139 kB)
2025-08-26T20:31:55.2214728Z Collecting pandas==2.1.3
2025-08-26T20:31:55.2240779Z   Downloading pandas-2.1.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.3 MB)
2025-08-26T20:31:55.3008121Z Requirement already satisfied: dataclasses_json==0.6.7 in /home/ec2-user/.local/lib/python3.9/site-packages (0.6.7)
2025-08-26T20:31:55.3015472Z Requirement already satisfied: six>=1.5 in /usr/lib/python3.9/site-packages (from python-dateutil==2.8.2) (1.15.0)
2025-08-26T20:31:55.3045264Z 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)
2025-08-26T20:31:55.3049007Z 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)
2025-08-26T20:31:55.3051365Z 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)
2025-08-26T20:31:55.8710109Z Collecting numpy<2,>=1.22.4
2025-08-26T20:31:55.8737004Z   Downloading numpy-1.26.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (18.2 MB)
2025-08-26T20:31:55.9981962Z Collecting tzdata>=2022.1
2025-08-26T20:31:56.0007283Z   Downloading tzdata-2025.2-py2.py3-none-any.whl (347 kB)
2025-08-26T20:31:56.0081191Z Requirement already satisfied: pytz>=2020.1 in /usr/lib/python3.9/site-packages (from pandas==2.1.3) (2022.7.1)
2025-08-26T20:31:56.0115316Z 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)
2025-08-26T20:31:56.0117941Z 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)
2025-08-26T20:31:56.0157421Z 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)
2025-08-26T20:31:56.0230769Z 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)
2025-08-26T20:31:56.0299357Z 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)
2025-08-26T20:31:56.0301943Z 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)
2025-08-26T20:31:56.1352723Z Installing collected packages: python-dateutil, tzdata, numpy, pandas, boto3
2025-08-26T20:31:59.6522048Z   Attempting uninstall: boto3
2025-08-26T20:31:59.6522351Z     Found existing installation: boto3 1.35.33
2025-08-26T20:31:59.6580254Z     Uninstalling boto3-1.35.33:
2025-08-26T20:31:59.6588425Z       Successfully uninstalled boto3-1.35.33
2025-08-26T20:31:59.6959974Z Successfully installed boto3-1.35.42 numpy-1.26.4 pandas-2.1.3 python-dateutil-2.8.2 tzdata-2025.2
2025-08-26T20:32:00.0212716Z Command completed after 1 attempt(s).
2025-08-26T20:32:00.0261465Z ##[group]Run python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \
2025-08-26T20:32:00.0261890Z python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \
2025-08-26T20:32:00.0262196Z   --workflow-run-id "17248463670" \
2025-08-26T20:32:00.0262418Z   --workflow-name "inductor" \
2025-08-26T20:32:00.0262634Z   --workflow-run-attempt "1" \
2025-08-26T20:32:00.0262833Z   --job-id "48946862612" \
2025-08-26T20:32:00.0263215Z   --job-name "linux-jammy-cpu-py3.9-gcc11-inductor / test (inductor_torchbench_cpu_smoketest_perf, 1, 1, linux.24xl.spr-metal)" \
2025-08-26T20:32:00.0263608Z   --local-path "" \
2025-08-26T20:32:00.0263798Z   --artifact-prefix ""
2025-08-26T20:32:00.0268870Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:32:00.0269100Z env:
2025-08-26T20:32:00.0269255Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:32:00.0269543Z   DOCKER_CONTAINER_ID: 90499a7c701efa72093b821bf75e94463c3a8c509b45aa717ecbc8b72d32203d
2025-08-26T20:32:00.0269821Z   DEVICE_NAME: 
2025-08-26T20:32:00.0269978Z   DEVICE_TYPE: 
2025-08-26T20:32:00.0270130Z ##[endgroup]
2025-08-26T20:32:00.8046781Z repo: pytorch/pytorch
2025-08-26T20:32:00.8047083Z Search for test log in s3 bucket: ossci-utilization
2025-08-26T20:32:00.8047476Z Downloading logs-test-inductor_torchbench_cpu_smoketest_perf-1-1-linux.24xl.spr-metal_48946862612.zip
2025-08-26T20:32:00.8047989Z extracting usage_log.txt from zip file logs-test-inductor_torchbench_cpu_smoketest_perf-1-1-linux.24xl.spr-metal_48946862612.zip
2025-08-26T20:32:00.8048382Z Converted Log Model: UtilizationMetadata:
2025-08-26T20:32:00.8049200Z  UtilizationMetadata(level='metadata', workflow_id='17248463670', job_id='48946862612', workflow_name='inductor', job_name='linux-jammy-cpu-py3.9-gcc11-inductor / test (inductor_torchbench_cpu_smoketest_perf, 1, 1, linux.24xl.spr-metal)', usage_collect_interval=1.0, data_model_version=1.5, start_at=1756239362, gpu_count=0, cpu_count=96, gpu_type=None, error=None)
2025-08-26T20:32:00.8050059Z [Db Segments] detected pytest cmd: 41, generated segments: 41
2025-08-26T20:32:00.8050314Z [db model] Peek db timeseries 
2025-08-26T20:32:00.8050499Z :{
2025-08-26T20:32:00.8050647Z     "created_at": 1756240320,
2025-08-26T20:32:00.8050819Z     "type": "utilization",
2025-08-26T20:32:00.8050986Z     "tags": [
2025-08-26T20:32:00.8051131Z         "record"
2025-08-26T20:32:00.8051301Z     ],
2025-08-26T20:32:00.8051441Z     "time_stamp": 1756239362,
2025-08-26T20:32:00.8051618Z     "repo": "pytorch/pytorch",
2025-08-26T20:32:00.8051804Z     "workflow_id": 17248463670,
2025-08-26T20:32:00.8051981Z     "run_attempt": 1,
2025-08-26T20:32:00.8052138Z     "job_id": 48946862612,
2025-08-26T20:32:00.8052316Z     "workflow_name": "inductor",
2025-08-26T20:32:00.8052679Z     "job_name": "linux-jammy-cpu-py3.9-gcc11-inductor / test (inductor_torchbench_cpu_smoketest_perf, 1, 1, linux.24xl.spr-metal)",
2025-08-26T20:32:00.8053038Z     "json_data": "{}"
2025-08-26T20:32:00.8053186Z }
2025-08-26T20:32:00.8053484Z Writing 1 documents to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/17248463670/1/48946862612/metadata
2025-08-26T20:32:00.8054056Z Done! Finish writing document to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/17248463670/1/48946862612/metadata 
2025-08-26T20:32:00.8054566Z Writing 182 documents to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/17248463670/1/48946862612/time_series
2025-08-26T20:32:00.8055081Z Done! Finish writing document to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/17248463670/1/48946862612/time_series 
2025-08-26T20:32:00.8784272Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main
2025-08-26T20:32:00.8784632Z with:
2025-08-26T20:32:00.8784833Z env:
2025-08-26T20:32:00.8785035Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:32:00.8785418Z   DOCKER_CONTAINER_ID: 90499a7c701efa72093b821bf75e94463c3a8c509b45aa717ecbc8b72d32203d
2025-08-26T20:32:00.8785898Z   DEVICE_NAME: 
2025-08-26T20:32:00.8786106Z   DEVICE_TYPE: 
2025-08-26T20:32:00.8786314Z ##[endgroup]
2025-08-26T20:32:00.8804160Z ##[group]Run set -eou pipefail
2025-08-26T20:32:00.8804459Z set -eou pipefail
2025-08-26T20:32:00.8804696Z 
2025-08-26T20:32:00.8805008Z echo "Holding runner for 2 hours until all ssh sessions have logged out"
2025-08-26T20:32:00.8805377Z for _ in $(seq 1440); do
2025-08-26T20:32:00.8805674Z     # Break if no ssh session exists anymore
2025-08-26T20:32:00.8805973Z     if [ "$(who)" = "" ]; then
2025-08-26T20:32:00.8806233Z       break
2025-08-26T20:32:00.8806476Z     fi
2025-08-26T20:32:00.8806684Z     echo "."
2025-08-26T20:32:00.8806895Z     sleep 5
2025-08-26T20:32:00.8807106Z done
2025-08-26T20:32:00.8812168Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:32:00.8812443Z env:
2025-08-26T20:32:00.8812617Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:32:00.8812949Z   DOCKER_CONTAINER_ID: 90499a7c701efa72093b821bf75e94463c3a8c509b45aa717ecbc8b72d32203d
2025-08-26T20:32:00.8813293Z   DEVICE_NAME: 
2025-08-26T20:32:00.8813477Z   DEVICE_TYPE: 
2025-08-26T20:32:00.8813654Z ##[endgroup]
2025-08-26T20:32:00.8831784Z Holding runner for 2 hours until all ssh sessions have logged out
2025-08-26T20:32:00.8897834Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2025-08-26T20:32:00.8898240Z # ignore expansion of "docker ps -q" since it could be empty
2025-08-26T20:32:00.8898503Z # shellcheck disable=SC2046
2025-08-26T20:32:00.8898745Z docker stop $(docker ps -q) || true
2025-08-26T20:32:00.8898964Z # Prune all of the docker images
2025-08-26T20:32:00.8899182Z docker system prune -af
2025-08-26T20:32:00.8903053Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:32:00.8903285Z env:
2025-08-26T20:32:00.8903438Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:32:00.8903726Z   DOCKER_CONTAINER_ID: 90499a7c701efa72093b821bf75e94463c3a8c509b45aa717ecbc8b72d32203d
2025-08-26T20:32:00.8904023Z   DEVICE_NAME: 
2025-08-26T20:32:00.8904188Z   DEVICE_TYPE: 
2025-08-26T20:32:00.8904341Z ##[endgroup]
2025-08-26T20:32:14.7622155Z 90499a7c701e
2025-08-26T20:32:15.2147283Z Deleted Containers:
2025-08-26T20:32:15.2147615Z 90499a7c701efa72093b821bf75e94463c3a8c509b45aa717ecbc8b72d32203d
2025-08-26T20:32:15.2147816Z 
2025-08-26T20:32:21.4968878Z Deleted Images:
2025-08-26T20:32:21.4969535Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:32:21.4970305Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image@sha256:acbbd4ce4ca5911beba428e48e3c25069f341e6f142804bf943d333ccc654c8c
2025-08-26T20:32:21.4970816Z deleted: sha256:932da535a977ab0b0008738bb22f52295068c34f7c3dedec486c588f4545c297
2025-08-26T20:32:21.4971197Z deleted: sha256:3156ea3f68016dfccfe2a536aa882b62a00395a6ca49b2ba301d13e44abb83fb
2025-08-26T20:32:21.4971571Z deleted: sha256:9a45d555dff580d21be11d679a1e837b745b873cedadc9e566a602c328aed3f9
2025-08-26T20:32:21.4972270Z deleted: sha256:daacbcb681fd57619606aab266f3ef2ef8e95a94bc72b5bc883eb754da198dd0
2025-08-26T20:32:21.4972645Z deleted: sha256:6f3fbaa56c6a2e579d2ba504e6dc8988a53f21edd9362b80c637dd0f986af706
2025-08-26T20:32:21.4973011Z deleted: sha256:0f59cd25c9612e8273fe496db436f3e7b77bc98272ba190ce9d5fc52bfc6ae1e
2025-08-26T20:32:21.4973379Z deleted: sha256:bb7d42cfe899a5cc7890b1cdeacf96ab3078904e798814ae6553db5629b011b0
2025-08-26T20:32:21.4973860Z deleted: sha256:0368680d4759f526a0230f7ab947f5ff788c0051024f5a7a5d89370f8cfdf6c4
2025-08-26T20:32:21.4974205Z deleted: sha256:4fd2473fa0515f71b6eb686fcb67c9b81d1d8dc587090242be7c3bb856ec5279
2025-08-26T20:32:21.4974566Z deleted: sha256:3f3d8fdcc126ce6c4d64636da45b1974621083f0311cd39e83c44a95236d4b2d
2025-08-26T20:32:21.4974979Z deleted: sha256:d0efbbe1f1404811bd328b19ab44fb13919f9f167b541819b4318e6756b5dda5
2025-08-26T20:32:21.4975342Z deleted: sha256:e6b349b1e58ba586e3deb3614dd8f89d1827cf032075c5e6bda88d43427154a0
2025-08-26T20:32:21.4975701Z deleted: sha256:20d80dc7cd6833183b01c3047299ec4a4c0dff02c348453530dcd112f8aafadf
2025-08-26T20:32:21.4976115Z deleted: sha256:59ffae9fb0f9d6800e2af3eb4a9ba2e33dbe8542fa52adfe5f4a44d1110333ec
2025-08-26T20:32:21.4976471Z deleted: sha256:3c8c8c9d49865e4baf47d614cd14d1bc61d707d3b568805a4e85a7bcf74f79f5
2025-08-26T20:32:21.4976835Z deleted: sha256:da52ea4cd5269f152631fb9aebe1a3f2afbb25b6f905627f4d9e0dd66a2d76ad
2025-08-26T20:32:21.4977204Z deleted: sha256:21feaf7133ed123b02de1af3d0554bf8b5ec0d0658f3735d5afe31073cd48aaa
2025-08-26T20:32:21.4977559Z deleted: sha256:75d674077e9288a3c7e3d95753931a8dfbacf0903eab4115e51ca11e517cf487
2025-08-26T20:32:21.4977908Z deleted: sha256:408f7aac39a3a9d96ef050499909b911708700828d89eb6afa629f71735f1b7b
2025-08-26T20:32:21.4978252Z deleted: sha256:2fd2fb552e32e423f74651a7422e6026cb64ccefc0af2919003dcfdb896a6fca
2025-08-26T20:32:21.4978610Z deleted: sha256:124e8f08b0ae3f1512279119a6e0eace8c6033a79f54e8853e6ca505a06dbf55
2025-08-26T20:32:21.4978961Z deleted: sha256:886281f226562d96f829be9ad27d3cc2d60358e0b4a1f15e960772d0910effaa
2025-08-26T20:32:21.4979319Z deleted: sha256:da6d03400da08da89796db7be759be8ad8940d683e7f276123a5553ec9d24a57
2025-08-26T20:32:21.4979684Z deleted: sha256:70d05a51e316f5a19f8b0631b96ccfb897a650deb917ec5c086ce3fe65f1fd0c
2025-08-26T20:32:21.4980037Z deleted: sha256:9784a26692bf6c95593aaefafffa4d56455f6eb6467404cf4f76b79372f30e4f
2025-08-26T20:32:21.4980391Z deleted: sha256:2bcffdbb59956a4717723d51f4323e665b98deaf142776a33fd610c646db860f
2025-08-26T20:32:21.4980747Z deleted: sha256:8bbddb5220d45dafe0030c7757727c3c069d86030a553f41b1f26f2e0d84b6e4
2025-08-26T20:32:21.4981103Z deleted: sha256:962d7d894f9919c1971f86b96bd19bf53721b38c227cea9e529b1db7fc80fb2e
2025-08-26T20:32:21.4981455Z deleted: sha256:9c9d93e4d4dd16b3a3d281a9a900cfb97dcce951b24cbcdb2338bdc74a6c063f
2025-08-26T20:32:21.4981816Z deleted: sha256:898c4ae00d01adeac99b034ca9ae9d71f98043a619ed3416f6afeb33622037c7
2025-08-26T20:32:21.4982173Z deleted: sha256:e6f1aa0296a85597e241ca21553f75914bfd6f9c138dafa58a1da34b6ea6c3c0
2025-08-26T20:32:21.4982531Z deleted: sha256:f53cdb93298a9c02d5a507a0f8834ba20a1dab383657f2261301cae17c8c83d2
2025-08-26T20:32:21.4982885Z deleted: sha256:9cf9854b49330c66e9fd844ccc3176494b18db80b8befa296e5b4528173cf8d1
2025-08-26T20:32:21.4983237Z deleted: sha256:00c249d37f86b7ebc84025ef002cd2f7e980b907d0ec033ff7d0ea4d1264ab1a
2025-08-26T20:32:21.4983593Z deleted: sha256:79be195b392524620bc3c3037e351999a68113dcad267d070ec43525e589a60c
2025-08-26T20:32:21.4983946Z deleted: sha256:c3008072664f92ccb9ed58aab39622f94bb36bfd41a19e2f1d420507054e1827
2025-08-26T20:32:21.4984301Z deleted: sha256:f5a3048af287e09824ae55074388f59b1fa65f22fe6dccb6faa06f6278d43dce
2025-08-26T20:32:21.4984648Z deleted: sha256:0d870fd182b585783501e1d946e3acb1b558290e650bb698ae4b2cb9cf6880a8
2025-08-26T20:32:21.4985013Z deleted: sha256:93da7fe2be0b82e03b2b3ac15ab51c8faa1b2238e56cd9ca5ce1e7476e2305cb
2025-08-26T20:32:21.4985379Z deleted: sha256:483856587b063fee6068ef50607a29eb2b214aa6f30bc9ef6eedfe90e3cda082
2025-08-26T20:32:21.4985732Z deleted: sha256:8d51b4b73a66559bf8b432663d2d608fb10900e12e33d4c5d7865998f28eeb32
2025-08-26T20:32:21.4986122Z deleted: sha256:05c1eb9d6bf1ac198c607c93e2a3d516eafd0c5d0832a870662cbfa6e9672cf5
2025-08-26T20:32:21.4986468Z deleted: sha256:d6555842191f7d93047f5b8e764ee51e09297160989fcbd64012e35a25f31404
2025-08-26T20:32:21.4986819Z deleted: sha256:9c37a35dc9a8f4c40caf440422180306711115ba043c5faa502b8c96a5eeb543
2025-08-26T20:32:21.4987250Z deleted: sha256:f47a0e3db7dca4d8e4217670ded860c7245af2c360c65ade3e78ee74618e5abb
2025-08-26T20:32:21.4987613Z deleted: sha256:45bcab22be63d761cb4e663edded34b5fcf1bf35d81fdbde11acd976d8f056c7
2025-08-26T20:32:21.4987973Z deleted: sha256:df8174fd63de0f53060c60b4e8fd435d60b39bed840065d8d681b853201c4fc7
2025-08-26T20:32:21.4988311Z deleted: sha256:5434c1485755948e233661454a808122ee876fb38c8cf827ad068cfd16aa9911
2025-08-26T20:32:21.4988694Z deleted: sha256:fefabde8ff27ac23bcaf7b61b8eb5b29e3dc9695fab4d5dad6a144db987a1c61
2025-08-26T20:32:21.4989073Z deleted: sha256:b88942f7cd22bc5670adb08b936ea4be3c34e2dc744fd9ac21a12a02408286ff
2025-08-26T20:32:21.4989447Z deleted: sha256:5db012aa0d4b57a2eafe03bb22b876c52b0c37923895813ebe0e8b88db5d3d06
2025-08-26T20:32:21.4989796Z deleted: sha256:02480388e3201a70920862a36cde623dba5d8f0aef14cbc8b8d6e86227d21418
2025-08-26T20:32:21.4990150Z deleted: sha256:a713c70ee7bdc9693825a35cef98b0f3a271a0015c904f725a456e47280752d6
2025-08-26T20:32:21.4990516Z deleted: sha256:d8f3fd0e0ae0d3b955cda7a4e28615b2ab0f71dfe6234a1d13b2bb9fc190b8de
2025-08-26T20:32:21.4990878Z deleted: sha256:967a51e1cb7095e3ed117ca1aa460b40c01c247abd428e70098df9fc79b46dad
2025-08-26T20:32:21.4991234Z deleted: sha256:bb23a0f7a6c02fcdf389ef412f9ecd22aa476ff3328f0227a325605697041fa0
2025-08-26T20:32:21.4991592Z deleted: sha256:72aedc7bd8ad37c56ab3af00deee323a3462b5acd4a148b0bc60f1cf8f107054
2025-08-26T20:32:21.4991957Z deleted: sha256:328a95f2cc869f7472c8e8246d260f4f88415b814ded53dcf65e14e9a6e0ca7a
2025-08-26T20:32:21.4992313Z deleted: sha256:822b44de6305caad1e5dc05dd69cb1d97943643f9ee64920cfcb503e0bf42e97
2025-08-26T20:32:21.4992676Z deleted: sha256:0692ae1d6bb27b1f38130fe3821bfa22518fb62e9df7348ef592533bc6de0643
2025-08-26T20:32:21.4993018Z deleted: sha256:7f148c740013645d9ca7c81672751d4f5c663268c6f41bbb023376d95eab0fe9
2025-08-26T20:32:21.4993367Z deleted: sha256:888d91ae532d8da6c76dd06e66f0b9eba31a3c34db7473162310d3d826531677
2025-08-26T20:32:21.4993724Z deleted: sha256:95f9eb56b666bddc92611dde7a1e528d20727088fcab96029a285b87863e68fe
2025-08-26T20:32:21.4994086Z deleted: sha256:9ce7d3ff2bf5368b1093479ec795208bc9c27acf3f1eaf082ec961fb98ccc34c
2025-08-26T20:32:21.4994444Z deleted: sha256:d784bd35678b07daa5cad60903b2ad799d7a0b718f0369f5f9a025c907ecec88
2025-08-26T20:32:21.4994793Z deleted: sha256:2d79ff0ccf3568d27b32eba526c0685a4026a9aedc9bce178c62cc5300cecda2
2025-08-26T20:32:21.4995153Z deleted: sha256:e6d07d4c0bd50947e4d3c16528fab6c41cc912d7c237a9ea27db2d24228a88f4
2025-08-26T20:32:21.4995517Z deleted: sha256:5da975aef14c12e2b472b92aee3c3bdc962725ba0c16213dc38cb9dba53a0291
2025-08-26T20:32:21.4995880Z deleted: sha256:af0f5da6f1f197a45609d0e68e589e32b3aeb1daa69ab8e9df6f9ab5c80ec17b
2025-08-26T20:32:21.4996242Z deleted: sha256:f6e9282d4bd65dd1f6b7d33a1ea460db63181cc5367693e00c82be5cad8a8bc7
2025-08-26T20:32:21.4996596Z deleted: sha256:d7c4b9415b941bb5d3c7f5c10aed336d45d24315f746c4fcb3dfc23c6b8908d6
2025-08-26T20:32:21.4996951Z deleted: sha256:94fa86b861fd00cea6bff33e0bbc9078b581d6deb3779fcf9906a9619f1cbd06
2025-08-26T20:32:21.4997315Z deleted: sha256:2c44a97ad498ca2eb5b0bcbb68b73dc8d3cbc9181b2b4215d5976fee8c2b5dde
2025-08-26T20:32:21.4997676Z deleted: sha256:2fac967f0d0c18773694f70ef626be174a5adce8737ced4ea4b9941934750025
2025-08-26T20:32:21.4998025Z deleted: sha256:4f98077e501f50be7f43259df16ebd857ddcd29cc93b34fad4e5b874e9f35f05
2025-08-26T20:32:21.4998384Z deleted: sha256:fc2d753ded90860f5030cfcf5f0a3c2e57dfb41484540bd81bfc7a74746eb55f
2025-08-26T20:32:21.4998744Z deleted: sha256:90a2bf02e851326fc70d05470553ed33e578342d6e06bfa0cfaf331c4079b7e4
2025-08-26T20:32:21.4998956Z 
2025-08-26T20:32:21.4999055Z Total reclaimed space: 58.03GB
2025-08-26T20:32:21.5064449Z Post job cleanup.
2025-08-26T20:32:21.5101456Z Post job cleanup.
2025-08-26T20:32:21.5819334Z [command]/usr/bin/git version
2025-08-26T20:32:21.5849723Z git version 2.47.1
2025-08-26T20:32:21.5873188Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/b85310de-8d3b-41d4-b93c-0cbde7015cf8/.gitconfig'
2025-08-26T20:32:21.5879246Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/b85310de-8d3b-41d4-b93c-0cbde7015cf8' before making global git config changes
2025-08-26T20:32:21.5879777Z Adding repository directory to the temporary git global config as a safe directory
2025-08-26T20:32:21.5882616Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-08-26T20:32:21.5921207Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-08-26T20:32:21.5943449Z [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' || :"
2025-08-26T20:32:21.6201719Z Entering 'android/libs/fbjni'
2025-08-26T20:32:21.6236489Z Entering 'third_party/FP16'
2025-08-26T20:32:21.6277867Z Entering 'third_party/FXdiv'
2025-08-26T20:32:21.6322537Z Entering 'third_party/NNPACK'
2025-08-26T20:32:21.6367575Z Entering 'third_party/NVTX'
2025-08-26T20:32:21.6411763Z Entering 'third_party/VulkanMemoryAllocator'
2025-08-26T20:32:21.6454244Z Entering 'third_party/XNNPACK'
2025-08-26T20:32:21.6511273Z Entering 'third_party/aiter'
2025-08-26T20:32:21.6551133Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-08-26T20:32:21.6602703Z Entering 'third_party/benchmark'
2025-08-26T20:32:21.6642596Z Entering 'third_party/composable_kernel'
2025-08-26T20:32:21.6694072Z Entering 'third_party/cpp-httplib'
2025-08-26T20:32:21.6737071Z Entering 'third_party/cpuinfo'
2025-08-26T20:32:21.6780814Z Entering 'third_party/cudnn_frontend'
2025-08-26T20:32:21.6822885Z Entering 'third_party/cutlass'
2025-08-26T20:32:21.6876334Z Entering 'third_party/fbgemm'
2025-08-26T20:32:21.6919946Z Entering 'third_party/fbgemm/external/asmjit'
2025-08-26T20:32:21.6961532Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-08-26T20:32:21.7008933Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-08-26T20:32:21.7052347Z Entering 'third_party/fbgemm/external/cutlass'
2025-08-26T20:32:21.7102779Z Entering 'third_party/fbgemm/external/googletest'
2025-08-26T20:32:21.7141918Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-08-26T20:32:21.7185103Z Entering 'third_party/fbgemm/external/json'
2025-08-26T20:32:21.7228665Z Entering 'third_party/flash-attention'
2025-08-26T20:32:21.7271659Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-08-26T20:32:21.7320076Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-08-26T20:32:21.7370331Z Entering 'third_party/flatbuffers'
2025-08-26T20:32:21.7415087Z Entering 'third_party/fmt'
2025-08-26T20:32:21.7463097Z Entering 'third_party/gemmlowp/gemmlowp'
2025-08-26T20:32:21.7506220Z Entering 'third_party/gloo'
2025-08-26T20:32:21.7545326Z Entering 'third_party/googletest'
2025-08-26T20:32:21.7587359Z Entering 'third_party/ideep'
2025-08-26T20:32:21.7626282Z Entering 'third_party/ideep/mkl-dnn'
2025-08-26T20:32:21.7675345Z Entering 'third_party/ittapi'
2025-08-26T20:32:21.7715236Z Entering 'third_party/kineto'
2025-08-26T20:32:21.7756013Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-08-26T20:32:21.7796982Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-08-26T20:32:21.7839580Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-08-26T20:32:21.7880283Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-08-26T20:32:21.7925072Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-08-26T20:32:21.7968744Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-08-26T20:32:21.8011965Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-08-26T20:32:21.8055629Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-08-26T20:32:21.8100367Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-08-26T20:32:21.8142538Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-08-26T20:32:21.8187115Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-08-26T20:32:21.8227108Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-08-26T20:32:21.8270775Z Entering 'third_party/kleidiai'
2025-08-26T20:32:21.8312592Z Entering 'third_party/mimalloc'
2025-08-26T20:32:21.8355811Z Entering 'third_party/nlohmann'
2025-08-26T20:32:21.8399532Z Entering 'third_party/onnx'
2025-08-26T20:32:21.8456599Z Entering 'third_party/onnx/third_party/pybind11'
2025-08-26T20:32:21.8502371Z Entering 'third_party/opentelemetry-cpp'
2025-08-26T20:32:21.8544452Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-08-26T20:32:21.8585650Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-08-26T20:32:21.8629414Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-08-26T20:32:21.8674771Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-08-26T20:32:21.8715283Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-08-26T20:32:21.8757073Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-08-26T20:32:21.8800674Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-08-26T20:32:21.8841831Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-08-26T20:32:21.8884218Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-08-26T20:32:21.8932422Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-08-26T20:32:21.8989854Z Entering 'third_party/pocketfft'
2025-08-26T20:32:21.9033406Z Entering 'third_party/protobuf'
2025-08-26T20:32:21.9079408Z Entering 'third_party/protobuf/third_party/benchmark'
2025-08-26T20:32:21.9124164Z Entering 'third_party/protobuf/third_party/googletest'
2025-08-26T20:32:21.9169646Z Entering 'third_party/psimd'
2025-08-26T20:32:21.9214861Z Entering 'third_party/pthreadpool'
2025-08-26T20:32:21.9260440Z Entering 'third_party/pybind11'
2025-08-26T20:32:21.9306493Z Entering 'third_party/python-peachpy'
2025-08-26T20:32:21.9349852Z Entering 'third_party/sleef'
2025-08-26T20:32:21.9393929Z Entering 'third_party/tensorpipe'
2025-08-26T20:32:21.9438309Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-08-26T20:32:21.9481187Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-08-26T20:32:21.9522974Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-08-26T20:32:21.9567235Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-08-26T20:32:21.9612332Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-08-26T20:32:21.9674251Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2025-08-26T20:32:21.9689644Z http.https://github.com/.extraheader
2025-08-26T20:32:21.9695818Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader
2025-08-26T20:32:21.9718024Z [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' || :"
2025-08-26T20:32:21.9962629Z Entering 'android/libs/fbjni'
2025-08-26T20:32:21.9992936Z http.https://github.com/.extraheader
2025-08-26T20:32:22.0022531Z Entering 'third_party/FP16'
2025-08-26T20:32:22.0054063Z http.https://github.com/.extraheader
2025-08-26T20:32:22.0081179Z Entering 'third_party/FXdiv'
2025-08-26T20:32:22.0109543Z http.https://github.com/.extraheader
2025-08-26T20:32:22.0136343Z Entering 'third_party/NNPACK'
2025-08-26T20:32:22.0167685Z http.https://github.com/.extraheader
2025-08-26T20:32:22.0194820Z Entering 'third_party/NVTX'
2025-08-26T20:32:22.0226385Z http.https://github.com/.extraheader
2025-08-26T20:32:22.0254395Z Entering 'third_party/VulkanMemoryAllocator'
2025-08-26T20:32:22.0285703Z http.https://github.com/.extraheader
2025-08-26T20:32:22.0309869Z Entering 'third_party/XNNPACK'
2025-08-26T20:32:22.0337611Z http.https://github.com/.extraheader
2025-08-26T20:32:22.0377156Z Entering 'third_party/aiter'
2025-08-26T20:32:22.0405383Z http.https://github.com/.extraheader
2025-08-26T20:32:22.0433570Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-08-26T20:32:22.0462840Z http.https://github.com/.extraheader
2025-08-26T20:32:22.0496442Z Entering 'third_party/benchmark'
2025-08-26T20:32:22.0524656Z http.https://github.com/.extraheader
2025-08-26T20:32:22.0549655Z Entering 'third_party/composable_kernel'
2025-08-26T20:32:22.0578604Z http.https://github.com/.extraheader
2025-08-26T20:32:22.0611174Z Entering 'third_party/cpp-httplib'
2025-08-26T20:32:22.0639883Z http.https://github.com/.extraheader
2025-08-26T20:32:22.0666892Z Entering 'third_party/cpuinfo'
2025-08-26T20:32:22.0693296Z http.https://github.com/.extraheader
2025-08-26T20:32:22.0718949Z Entering 'third_party/cudnn_frontend'
2025-08-26T20:32:22.0745950Z http.https://github.com/.extraheader
2025-08-26T20:32:22.0773424Z Entering 'third_party/cutlass'
2025-08-26T20:32:22.0802170Z http.https://github.com/.extraheader
2025-08-26T20:32:22.0834807Z Entering 'third_party/fbgemm'
2025-08-26T20:32:22.0862776Z http.https://github.com/.extraheader
2025-08-26T20:32:22.0890933Z Entering 'third_party/fbgemm/external/asmjit'
2025-08-26T20:32:22.0922010Z http.https://github.com/.extraheader
2025-08-26T20:32:22.0949375Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-08-26T20:32:22.0976030Z http.https://github.com/.extraheader
2025-08-26T20:32:22.1005067Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-08-26T20:32:22.1035559Z http.https://github.com/.extraheader
2025-08-26T20:32:22.1062570Z Entering 'third_party/fbgemm/external/cutlass'
2025-08-26T20:32:22.1090392Z http.https://github.com/.extraheader
2025-08-26T20:32:22.1125746Z Entering 'third_party/fbgemm/external/googletest'
2025-08-26T20:32:22.1154094Z http.https://github.com/.extraheader
2025-08-26T20:32:22.1182104Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-08-26T20:32:22.1210614Z http.https://github.com/.extraheader
2025-08-26T20:32:22.1235527Z Entering 'third_party/fbgemm/external/json'
2025-08-26T20:32:22.1266146Z http.https://github.com/.extraheader
2025-08-26T20:32:22.1296487Z Entering 'third_party/flash-attention'
2025-08-26T20:32:22.1324317Z http.https://github.com/.extraheader
2025-08-26T20:32:22.1350898Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-08-26T20:32:22.1378771Z http.https://github.com/.extraheader
2025-08-26T20:32:22.1408906Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-08-26T20:32:22.1435162Z http.https://github.com/.extraheader
2025-08-26T20:32:22.1470297Z Entering 'third_party/flatbuffers'
2025-08-26T20:32:22.1500590Z http.https://github.com/.extraheader
2025-08-26T20:32:22.1529314Z Entering 'third_party/fmt'
2025-08-26T20:32:22.1561640Z http.https://github.com/.extraheader
2025-08-26T20:32:22.1589784Z Entering 'third_party/gemmlowp/gemmlowp'
2025-08-26T20:32:22.1619140Z http.https://github.com/.extraheader
2025-08-26T20:32:22.1646524Z Entering 'third_party/gloo'
2025-08-26T20:32:22.1679010Z http.https://github.com/.extraheader
2025-08-26T20:32:22.1702988Z Entering 'third_party/googletest'
2025-08-26T20:32:22.1730913Z http.https://github.com/.extraheader
2025-08-26T20:32:22.1757085Z Entering 'third_party/ideep'
2025-08-26T20:32:22.1789319Z http.https://github.com/.extraheader
2025-08-26T20:32:22.1814748Z Entering 'third_party/ideep/mkl-dnn'
2025-08-26T20:32:22.1845809Z http.https://github.com/.extraheader
2025-08-26T20:32:22.1878317Z Entering 'third_party/ittapi'
2025-08-26T20:32:22.1906316Z http.https://github.com/.extraheader
2025-08-26T20:32:22.1930603Z Entering 'third_party/kineto'
2025-08-26T20:32:22.1958745Z http.https://github.com/.extraheader
2025-08-26T20:32:22.1985068Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-08-26T20:32:22.2015564Z http.https://github.com/.extraheader
2025-08-26T20:32:22.2042710Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-08-26T20:32:22.2073748Z http.https://github.com/.extraheader
2025-08-26T20:32:22.2101168Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-08-26T20:32:22.2131679Z http.https://github.com/.extraheader
2025-08-26T20:32:22.2159890Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-08-26T20:32:22.2189031Z http.https://github.com/.extraheader
2025-08-26T20:32:22.2216200Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-08-26T20:32:22.2246891Z http.https://github.com/.extraheader
2025-08-26T20:32:22.2274076Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-08-26T20:32:22.2305054Z http.https://github.com/.extraheader
2025-08-26T20:32:22.2333485Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-08-26T20:32:22.2364389Z http.https://github.com/.extraheader
2025-08-26T20:32:22.2392468Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-08-26T20:32:22.2421569Z http.https://github.com/.extraheader
2025-08-26T20:32:22.2449745Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-08-26T20:32:22.2479065Z http.https://github.com/.extraheader
2025-08-26T20:32:22.2506457Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-08-26T20:32:22.2533307Z http.https://github.com/.extraheader
2025-08-26T20:32:22.2561450Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-08-26T20:32:22.2592073Z http.https://github.com/.extraheader
2025-08-26T20:32:22.2623886Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-08-26T20:32:22.2652586Z http.https://github.com/.extraheader
2025-08-26T20:32:22.2680571Z Entering 'third_party/kleidiai'
2025-08-26T20:32:22.2711282Z http.https://github.com/.extraheader
2025-08-26T20:32:22.2737065Z Entering 'third_party/mimalloc'
2025-08-26T20:32:22.2768121Z http.https://github.com/.extraheader
2025-08-26T20:32:22.2793674Z Entering 'third_party/nlohmann'
2025-08-26T20:32:22.2824775Z http.https://github.com/.extraheader
2025-08-26T20:32:22.2853299Z Entering 'third_party/onnx'
2025-08-26T20:32:22.2885193Z http.https://github.com/.extraheader
2025-08-26T20:32:22.2923633Z Entering 'third_party/onnx/third_party/pybind11'
2025-08-26T20:32:22.2954486Z http.https://github.com/.extraheader
2025-08-26T20:32:22.2984667Z Entering 'third_party/opentelemetry-cpp'
2025-08-26T20:32:22.3012346Z http.https://github.com/.extraheader
2025-08-26T20:32:22.3042455Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-08-26T20:32:22.3071588Z http.https://github.com/.extraheader
2025-08-26T20:32:22.3098206Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-08-26T20:32:22.3130136Z http.https://github.com/.extraheader
2025-08-26T20:32:22.3156019Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-08-26T20:32:22.3185476Z http.https://github.com/.extraheader
2025-08-26T20:32:22.3208162Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-08-26T20:32:22.3236600Z http.https://github.com/.extraheader
2025-08-26T20:32:22.3262084Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-08-26T20:32:22.3292499Z http.https://github.com/.extraheader
2025-08-26T20:32:22.3319697Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-08-26T20:32:22.3347856Z http.https://github.com/.extraheader
2025-08-26T20:32:22.3375970Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-08-26T20:32:22.3405479Z http.https://github.com/.extraheader
2025-08-26T20:32:22.3430074Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-08-26T20:32:22.3458759Z http.https://github.com/.extraheader
2025-08-26T20:32:22.3489150Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-08-26T20:32:22.3519819Z http.https://github.com/.extraheader
2025-08-26T20:32:22.3546823Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-08-26T20:32:22.3576281Z http.https://github.com/.extraheader
2025-08-26T20:32:22.3616136Z Entering 'third_party/pocketfft'
2025-08-26T20:32:22.3646451Z http.https://github.com/.extraheader
2025-08-26T20:32:22.3673013Z Entering 'third_party/protobuf'
2025-08-26T20:32:22.3702908Z http.https://github.com/.extraheader
2025-08-26T20:32:22.3731624Z Entering 'third_party/protobuf/third_party/benchmark'
2025-08-26T20:32:22.3762413Z http.https://github.com/.extraheader
2025-08-26T20:32:22.3789307Z Entering 'third_party/protobuf/third_party/googletest'
2025-08-26T20:32:22.3818891Z http.https://github.com/.extraheader
2025-08-26T20:32:22.3845485Z Entering 'third_party/psimd'
2025-08-26T20:32:22.3874294Z http.https://github.com/.extraheader
2025-08-26T20:32:22.3900482Z Entering 'third_party/pthreadpool'
2025-08-26T20:32:22.3929902Z http.https://github.com/.extraheader
2025-08-26T20:32:22.3961051Z Entering 'third_party/pybind11'
2025-08-26T20:32:22.3993265Z http.https://github.com/.extraheader
2025-08-26T20:32:22.4019183Z Entering 'third_party/python-peachpy'
2025-08-26T20:32:22.4048411Z http.https://github.com/.extraheader
2025-08-26T20:32:22.4076279Z Entering 'third_party/sleef'
2025-08-26T20:32:22.4106251Z http.https://github.com/.extraheader
2025-08-26T20:32:22.4129090Z Entering 'third_party/tensorpipe'
2025-08-26T20:32:22.4158848Z http.https://github.com/.extraheader
2025-08-26T20:32:22.4187180Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-08-26T20:32:22.4217015Z http.https://github.com/.extraheader
2025-08-26T20:32:22.4243718Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-08-26T20:32:22.4273970Z http.https://github.com/.extraheader
2025-08-26T20:32:22.4300905Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-08-26T20:32:22.4329491Z http.https://github.com/.extraheader
2025-08-26T20:32:22.4356532Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-08-26T20:32:22.4387605Z http.https://github.com/.extraheader
2025-08-26T20:32:22.4413204Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-08-26T20:32:22.4443922Z http.https://github.com/.extraheader
2025-08-26T20:32:22.4539093Z A job completed hook has been configured by the self-hosted runner administrator
2025-08-26T20:32:22.4561398Z ##[group]Run '/home/ec2-user/runner-scripts/after_job.sh'
2025-08-26T20:32:22.4564795Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:32:22.4565066Z ##[endgroup]
2025-08-26T20:32:22.4629994Z [!ALERT!] Swap in detected! [!ALERT!]
2025-08-26T20:32:29.7041680Z [!ALERT!] Swap out detected [!ALERT!]
2025-08-26T20:32:41.9205857Z Cleaning up orphan processes