2025-09-07T06:40:48.9050271Z Current runner version: '2.328.0' 2025-09-07T06:40:48.9055265Z Runner name: 'i-04f70f15c9cb3402f' 2025-09-07T06:40:48.9056030Z Runner group name: 'default' 2025-09-07T06:40:48.9056756Z Machine name: 'ip-10-0-37-81' 2025-09-07T06:40:48.9058915Z ##[group]GITHUB_TOKEN Permissions 2025-09-07T06:40:48.9060932Z Contents: read 2025-09-07T06:40:48.9061512Z Metadata: read 2025-09-07T06:40:48.9061997Z ##[endgroup] 2025-09-07T06:40:48.9063696Z Secret source: Actions 2025-09-07T06:40:48.9064439Z Prepare workflow directory 2025-09-07T06:40:48.9462018Z Prepare all required actions 2025-09-07T06:40:48.9494083Z Getting action download info 2025-09-07T06:40:49.2010099Z Download action repository 'pytorch/test-infra@main' (SHA:548a4bc624d43a01cdf165a63b041f0ae014ddbd) 2025-09-07T06:40:50.8559689Z Download action repository 'pytorch/pytorch@main' (SHA:93fb23d6fae7c4e82c4239a1033e522088742634) 2025-09-07T06:41:06.7790020Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065) 2025-09-07T06:41:07.1032870Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722) 2025-09-07T06:41:07.4002489Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076) 2025-09-07T06:41:07.5805077Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-09-07T06:41:07.8239054Z Getting action download info 2025-09-07T06:41:07.9259128Z Download action repository 'actions/checkout@v4' (SHA:08eba0b27e820071cde6df949e0beb9ba4906955) 2025-09-07T06:41:08.1872056Z Getting action download info 2025-09-07T06:41:08.4126519Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e) 2025-09-07T06:41:08.6082346Z Getting action download info 2025-09-07T06:41:08.7271359Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482) 2025-09-07T06:41:08.9293533Z Getting action download info 2025-09-07T06:41:09.0935437Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (93fb23d6fae7c4e82c4239a1033e522088742634) 2025-09-07T06:41:09.0938521Z ##[group] Inputs 2025-09-07T06:41:09.0938827Z build-environment: linux-jammy-py3.9-gcc11-build 2025-09-07T06:41:09.0940367Z 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"}]} 2025-09-07T06:41:09.0942179Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T06:41:09.0942681Z sync-tag: 2025-09-07T06:41:09.0943319Z timeout-minutes: 240 2025-09-07T06:41:09.0943495Z use-gha: 2025-09-07T06:41:09.0943653Z dashboard-tag: 2025-09-07T06:41:09.0943838Z s3-bucket: gha-artifacts 2025-09-07T06:41:09.0944022Z aws-role-to-assume: 2025-09-07T06:41:09.0944376Z disable-monitor: false 2025-09-07T06:41:09.0944563Z monitor-log-interval: 5 2025-09-07T06:41:09.0945034Z monitor-data-collect-interval: 1 2025-09-07T06:41:09.0945349Z ##[endgroup] 2025-09-07T06:41:09.0945641Z Complete job name: inductor-cpu-test / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx) 2025-09-07T06:41:09.1421100Z A job started hook has been configured by the self-hosted runner administrator 2025-09-07T06:41:09.1501599Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh' 2025-09-07T06:41:09.1508586Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T06:41:09.1509058Z ##[endgroup] 2025-09-07T06:41:10.1133395Z Runner Type: linux.8xlarge.amx 2025-09-07T06:41:10.1133912Z Instance Type: m7i-flex.8xlarge 2025-09-07T06:41:10.1134315Z AMI Name: unknown 2025-09-07T06:41:10.1171269Z AMI ID: ami-05ffe3c48a9991133 2025-09-07T06:41:14.3061296Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main 2025-09-07T06:41:14.3061697Z with: 2025-09-07T06:41:14.3062265Z github-secret: *** 2025-09-07T06:41:14.3062784Z instructions: All testing is done inside the container, to start an interactive session run: docker exec -it $(docker container ps --format '{{.ID}}') bash 2025-09-07T06:41:14.3063312Z activate-with-label: false 2025-09-07T06:41:14.3063556Z label: with-ssh 2025-09-07T06:41:14.3063822Z remove-existing-keys: true 2025-09-07T06:41:14.3064033Z fail-silently: true 2025-09-07T06:41:14.3064267Z env: 2025-09-07T06:41:14.3064507Z GIT_DEFAULT_BRANCH: main 2025-09-07T06:41:14.3064761Z ##[endgroup] 2025-09-07T06:41:14.4259698Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info. 2025-09-07T06:41:14.4261063Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys 2025-09-07T06:41:14.4484783Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main 2025-09-07T06:41:14.4485292Z with: 2025-09-07T06:41:14.4485454Z no-sudo: true 2025-09-07T06:41:14.4485629Z submodules: recursive 2025-09-07T06:41:14.4485825Z fetch-depth: 0 2025-09-07T06:41:14.4485980Z env: 2025-09-07T06:41:14.4486136Z GIT_DEFAULT_BRANCH: main 2025-09-07T06:41:14.4486344Z ##[endgroup] 2025-09-07T06:41:14.4559892Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T06:41:14.4560469Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T06:41:14.4568764Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T06:41:14.4569031Z env: 2025-09-07T06:41:14.4569208Z GIT_DEFAULT_BRANCH: main 2025-09-07T06:41:14.4569407Z ##[endgroup] 2025-09-07T06:41:14.4661354Z ##[group]Run # Use all available CPUs for fetching 2025-09-07T06:41:14.4661662Z # Use all available CPUs for fetching 2025-09-07T06:41:14.4661915Z cd "${GITHUB_WORKSPACE}" 2025-09-07T06:41:14.4662186Z git config --global fetch.parallel 0 2025-09-07T06:41:14.4662436Z git config --global submodule.fetchJobs 0 2025-09-07T06:41:14.4662652Z  2025-09-07T06:41:14.4662900Z # Clean workspace. The default checkout action should also do this, but 2025-09-07T06:41:14.4663207Z # do it here as well just in case 2025-09-07T06:41:14.4663417Z if [[ -d .git ]]; then 2025-09-07T06:41:14.4663619Z  if [ -z "${NO_SUDO}" ]; then 2025-09-07T06:41:14.4663817Z  sudo git clean -ffdx 2025-09-07T06:41:14.4664003Z  else 2025-09-07T06:41:14.4664172Z  git clean -ffdx 2025-09-07T06:41:14.4664350Z  fi 2025-09-07T06:41:14.4664496Z fi 2025-09-07T06:41:14.4668676Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T06:41:14.4668925Z env: 2025-09-07T06:41:14.4669180Z GIT_DEFAULT_BRANCH: main 2025-09-07T06:41:14.4669385Z NO_SUDO: true 2025-09-07T06:41:14.4669541Z ##[endgroup] 2025-09-07T06:41:14.4780158Z ##[group]Run actions/checkout@v4 2025-09-07T06:41:14.4780390Z with: 2025-09-07T06:41:14.4780565Z ref: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T06:41:14.4780947Z fetch-depth: 0 2025-09-07T06:41:14.4781116Z submodules: recursive 2025-09-07T06:41:14.4781294Z show-progress: false 2025-09-07T06:41:14.4781474Z repository: pytorch/pytorch 2025-09-07T06:41:14.4781745Z token: *** 2025-09-07T06:41:14.4781903Z ssh-strict: true 2025-09-07T06:41:14.4782065Z ssh-user: git 2025-09-07T06:41:14.4782228Z persist-credentials: true 2025-09-07T06:41:14.4782400Z clean: true 2025-09-07T06:41:14.4782582Z sparse-checkout-cone-mode: true 2025-09-07T06:41:14.4782779Z fetch-tags: false 2025-09-07T06:41:14.4782938Z lfs: false 2025-09-07T06:41:14.4783089Z set-safe-directory: true 2025-09-07T06:41:14.4783273Z env: 2025-09-07T06:41:14.4783424Z GIT_DEFAULT_BRANCH: main 2025-09-07T06:41:14.4783597Z ##[endgroup] 2025-09-07T06:41:14.5675580Z Syncing repository: pytorch/pytorch 2025-09-07T06:41:14.5676739Z ##[group]Getting Git version info 2025-09-07T06:41:14.5677126Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-09-07T06:41:14.5677598Z [command]/usr/bin/git version 2025-09-07T06:41:14.5892459Z git version 2.47.1 2025-09-07T06:41:14.5920887Z ##[endgroup] 2025-09-07T06:41:14.5936496Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/61d309be-ace8-4e91-8714-a20a1aa80a6d/.gitconfig' 2025-09-07T06:41:14.5963170Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/61d309be-ace8-4e91-8714-a20a1aa80a6d' before making global git config changes 2025-09-07T06:41:14.5963766Z Adding repository directory to the temporary git global config as a safe directory 2025-09-07T06:41:14.5977604Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-09-07T06:41:14.6030455Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-09-07T06:41:14.6041119Z ##[group]Initializing the repository 2025-09-07T06:41:14.6041719Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-09-07T06:41:14.6101869Z hint: Using 'master' as the name for the initial branch. This default branch name 2025-09-07T06:41:14.6102325Z hint: is subject to change. To configure the initial branch name to use in all 2025-09-07T06:41:14.6102716Z hint: of your new repositories, which will suppress this warning, call: 2025-09-07T06:41:14.6102989Z hint: 2025-09-07T06:41:14.6103230Z hint: git config --global init.defaultBranch 2025-09-07T06:41:14.6103478Z hint: 2025-09-07T06:41:14.6103722Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2025-09-07T06:41:14.6104126Z hint: 'development'. The just-created branch can be renamed via this command: 2025-09-07T06:41:14.6104436Z hint: 2025-09-07T06:41:14.6104594Z hint: git branch -m 2025-09-07T06:41:14.6117413Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/ 2025-09-07T06:41:14.6126650Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch 2025-09-07T06:41:14.6164207Z ##[endgroup] 2025-09-07T06:41:14.6164612Z ##[group]Disabling automatic garbage collection 2025-09-07T06:41:14.6165114Z [command]/usr/bin/git config --local gc.auto 0 2025-09-07T06:41:14.6189995Z ##[endgroup] 2025-09-07T06:41:14.6190317Z ##[group]Setting up auth 2025-09-07T06:41:14.6192843Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-09-07T06:41:14.6226557Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :" 2025-09-07T06:41:14.6572480Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-09-07T06:41:14.6602110Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :" 2025-09-07T06:41:14.6934027Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-09-07T06:41:14.7004290Z ##[endgroup] 2025-09-07T06:41:14.7004714Z ##[group]Fetching the repository 2025-09-07T06:41:14.7010327Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2025-09-07T06:41:58.4863657Z From https://github.com/pytorch/pytorch 2025-09-07T06:41:58.4870725Z * [new branch] 160583 -> origin/160583 2025-09-07T06:41:58.4871153Z * [new branch] 2.6.0.dev20241004+ -> origin/2.6.0.dev20241004+ 2025-09-07T06:41:58.4871501Z * [new branch] 5addvllmbuild -> origin/5addvllmbuild 2025-09-07T06:41:58.4871861Z * [new branch] AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest 2025-09-07T06:41:58.4874020Z * [new branch] HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes 2025-09-07T06:41:58.4874571Z * [new branch] ISSUE-154849 -> origin/ISSUE-154849 2025-09-07T06:41:58.4875106Z * [new branch] JackCaoG/dynamo_make_fx_non_core_aten_ops -> origin/JackCaoG/dynamo_make_fx_non_core_aten_ops 2025-09-07T06:41:58.4875491Z * [new branch] NicoshevSVE128 -> origin/NicoshevSVE128 2025-09-07T06:41:58.4875827Z * [new branch] PR-AOTInductorNoneBug -> origin/PR-AOTInductorNoneBug 2025-09-07T06:41:58.4876180Z * [new branch] PR-AOTInductorNoneBugFix -> origin/PR-AOTInductorNoneBugFix 2025-09-07T06:41:58.4876836Z * [new branch] PR-FixConfigsIssue -> origin/PR-FixConfigsIssue 2025-09-07T06:41:58.4877181Z * [new branch] PR-NoneBugFix-viable -> origin/PR-NoneBugFix-viable 2025-09-07T06:41:58.4877498Z * [new branch] PR-ResetToZero -> origin/PR-ResetToZero 2025-09-07T06:41:58.4877824Z * [new branch] Update-Flash-Packaging -> origin/Update-Flash-Packaging 2025-09-07T06:41:58.4878146Z * [new branch] VLA_exp -> origin/VLA_exp 2025-09-07T06:41:58.4878491Z * [new branch] actually-run-mps-aot-inductor -> origin/actually-run-mps-aot-inductor 2025-09-07T06:41:58.4878902Z * [new branch] add-missing-args-normalization -> origin/add-missing-args-normalization 2025-09-07T06:41:58.4879289Z * [new branch] add-user-guide-structure -> origin/add-user-guide-structure 2025-09-07T06:41:58.4879629Z * [new branch] add-vllm-nightly-build -> origin/add-vllm-nightly-build 2025-09-07T06:41:58.4879974Z * [new branch] add_compile_benchmarking -> origin/add_compile_benchmarking 2025-09-07T06:41:58.4880298Z * [new branch] addmm-heuristic -> origin/addmm-heuristic 2025-09-07T06:41:58.4880591Z * [new branch] addsimde -> origin/addsimde 2025-09-07T06:41:58.4880873Z * [new branch] addvllmtest -> origin/addvllmtest 2025-09-07T06:41:58.4881163Z * [new branch] adi/acl_upgrade -> origin/adi/acl_upgrade 2025-09-07T06:41:58.4881448Z * [new branch] adi/test -> origin/adi/test 2025-09-07T06:41:58.4881728Z * [new branch] adi/test_bgemm -> origin/adi/test_bgemm 2025-09-07T06:41:58.4882042Z * [new branch] adi/test_fusions -> origin/adi/test_fusions 2025-09-07T06:41:58.4882349Z * [new branch] adi/test_onednn_v3.9 -> origin/adi/test_onednn_v3.9 2025-09-07T06:41:58.4882755Z * [new branch] adi/test_presve_change -> origin/adi/test_presve_change 2025-09-07T06:41:58.4883063Z * [new branch] adi/test_timm -> origin/adi/test_timm 2025-09-07T06:41:58.4883418Z * [new branch] adi/testpresve_change -> origin/adi/testpresve_change 2025-09-07T06:41:58.4883742Z * [new branch] aditew01/test/vec_bf16 -> origin/aditew01/test/vec_bf16 2025-09-07T06:41:58.4884153Z * [new branch] ah-globalfeedback-hook -> origin/ah-globalfeedback-hook 2025-09-07T06:41:58.4884461Z * [new branch] alt-disable -> origin/alt-disable 2025-09-07T06:41:58.4884802Z * [new branch] angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files 2025-09-07T06:41:58.4885169Z * [new branch] angelayi/aoti_inductor_fx -> origin/angelayi/aoti_inductor_fx 2025-09-07T06:41:58.4885648Z * [new branch] angelayi/benchmark -> origin/angelayi/benchmark 2025-09-07T06:41:58.4886010Z * [new branch] angelayi/benchmark2 -> origin/angelayi/benchmark2 2025-09-07T06:41:58.4886428Z * [new branch] angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization 2025-09-07T06:41:58.4886823Z * [new branch] angelayi/cpp_loader -> origin/angelayi/cpp_loader 2025-09-07T06:41:58.4887178Z * [new branch] angelayi/custom_op_subgraph -> origin/angelayi/custom_op_subgraph 2025-09-07T06:41:58.4887508Z * [new branch] angelayi/customop -> origin/angelayi/customop 2025-09-07T06:41:58.4887977Z * [new branch] angelayi/fake_cache_empty -> origin/angelayi/fake_cache_empty 2025-09-07T06:41:58.4892305Z * [new branch] angelayi/is_symbolic_tracing -> origin/angelayi/is_symbolic_tracing 2025-09-07T06:41:58.4892697Z * [new branch] angelayi/item -> origin/angelayi/item 2025-09-07T06:41:58.4893196Z * [new branch] angelayi/no_so_weight -> origin/angelayi/no_so_weight 2025-09-07T06:41:58.4893540Z * [new branch] angelayi/opoverload -> origin/angelayi/opoverload 2025-09-07T06:41:58.4893888Z * [new branch] angelayi/pattern -> origin/angelayi/pattern 2025-09-07T06:41:58.4894191Z * [new branch] angelayi/pytree -> origin/angelayi/pytree 2025-09-07T06:41:58.4894509Z * [new branch] angelayi/scan_layers -> origin/angelayi/scan_layers 2025-09-07T06:41:58.4894825Z * [new branch] angelayi/symint_input -> origin/angelayi/symint_input 2025-09-07T06:41:58.4895147Z * [new branch] angelayi/test_cpp -> origin/angelayi/test_cpp 2025-09-07T06:41:58.4895450Z * [new branch] angelayi/torch_size -> origin/angelayi/torch_size 2025-09-07T06:41:58.4895746Z * [new branch] aoti-cuda-alloc -> origin/aoti-cuda-alloc 2025-09-07T06:41:58.4896051Z * [new branch] aoti_target_windows -> origin/aoti_target_windows 2025-09-07T06:41:58.4896352Z * [new branch] aoti_weight_sharing -> origin/aoti_weight_sharing 2025-09-07T06:41:58.4896692Z * [new branch] atalman-inductor-perf-cu124 -> origin/atalman-inductor-perf-cu124 2025-09-07T06:41:58.4897083Z * [new branch] atalman-inductor-perf-cu124.1 -> origin/atalman-inductor-perf-cu124.1 2025-09-07T06:41:58.4897432Z * [new branch] atalman-patch-1 -> origin/atalman-patch-1 2025-09-07T06:41:58.4897734Z * [new branch] atalman-patch-3 -> origin/atalman-patch-3 2025-09-07T06:41:58.4898229Z * [new branch] atalman-patch-4 -> origin/atalman-patch-4 2025-09-07T06:41:58.4898680Z * [new branch] atalman-patch-5 -> origin/atalman-patch-5 2025-09-07T06:41:58.4899694Z * [new branch] atalman-patch-6 -> origin/atalman-patch-6 2025-09-07T06:41:58.4900227Z * [new branch] atalman_inductor_2.3.0 -> origin/atalman_inductor_2.3.0 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2025-09-07T06:41:58.8361016Z * [new branch] xmfan/ca_fix_polyfills -> origin/xmfan/ca_fix_polyfills 2025-09-07T06:41:58.8361228Z * [new branch] xmfan/ca_jan3 -> origin/xmfan/ca_jan3 2025-09-07T06:41:58.8361385Z * [new branch] xmfan/ca_jun18 -> origin/xmfan/ca_jun18 2025-09-07T06:41:58.8361520Z * [new branch] xmfan/ca_jun24 -> origin/xmfan/ca_jun24 2025-09-07T06:41:58.8361654Z * [new branch] xmfan/ca_mem_base -> origin/xmfan/ca_mem_base 2025-09-07T06:41:58.8361774Z * [new branch] xmfan/ca_mem_fix -> origin/xmfan/ca_mem_fix 2025-09-07T06:41:58.8361910Z * [new branch] xmfan/ca_memory_fix -> origin/xmfan/ca_memory_fix 2025-09-07T06:41:58.8362056Z * [new branch] xmfan/ca_memory_fix_rebased -> origin/xmfan/ca_memory_fix_rebased 2025-09-07T06:41:58.8362328Z * [new branch] xmfan/ca_memory_fix_rebased2 -> origin/xmfan/ca_memory_fix_rebased2 2025-09-07T06:41:58.8362468Z * [new branch] xmfan/ca_move_to_cuda -> origin/xmfan/ca_move_to_cuda 2025-09-07T06:41:58.8362589Z * [new branch] xmfan/ca_nested -> origin/xmfan/ca_nested 2025-09-07T06:41:58.8362715Z * [new branch] xmfan/ca_overhead -> origin/xmfan/ca_overhead 2025-09-07T06:41:58.8362864Z * [new branch] xmfan/ca_overhead_0eba7e5451 -> origin/xmfan/ca_overhead_0eba7e5451 2025-09-07T06:41:58.8362986Z * [new branch] xmfan/ca_scalar -> origin/xmfan/ca_scalar 2025-09-07T06:41:58.8363124Z * [new branch] xmfan/ca_subclass_mem_fix -> origin/xmfan/ca_subclass_mem_fix 2025-09-07T06:41:58.8363240Z * [new branch] xmfan/ca_warm_mem -> origin/xmfan/ca_warm_mem 2025-09-07T06:41:58.8363377Z * [new branch] xmfan/ca_warm_mem_base -> origin/xmfan/ca_warm_mem_base 2025-09-07T06:41:58.8363500Z * [new branch] xmfan/cacu_jun18 -> origin/xmfan/cacu_jun18 2025-09-07T06:41:58.8363629Z * [new branch] xmfan/cacu_jun19 -> origin/xmfan/cacu_jun19 2025-09-07T06:41:58.8363754Z * [new branch] xmfan/cacu_jun4 -> origin/xmfan/cacu_jun4 2025-09-07T06:41:58.8363882Z * [new branch] xmfan/cacu_may27 -> origin/xmfan/cacu_may27 2025-09-07T06:41:58.8364038Z * [new branch] xmfan/disable_duck_shape -> origin/xmfan/disable_duck_shape 2025-09-07T06:41:58.8364213Z * [new branch] xmfan/fca_cpp_node_passthrough -> origin/xmfan/fca_cpp_node_passthrough 2025-09-07T06:41:58.8364352Z * [new branch] xmfan/issue_123374 -> origin/xmfan/issue_123374 2025-09-07T06:41:58.8364612Z * [new branch] xmfan/post_3945954741e2d37023c5d6954f9483008e0892f9 -> origin/xmfan/post_3945954741e2d37023c5d6954f9483008e0892f9 2025-09-07T06:41:58.8364873Z * [new branch] xmfan/pre_3945954741e2d37023c5d6954f9483008e0892f9 -> origin/xmfan/pre_3945954741e2d37023c5d6954f9483008e0892f9 2025-09-07T06:41:58.8365009Z * [new branch] xmfan/segfault_test -> origin/xmfan/segfault_test 2025-09-07T06:41:58.8365163Z * [new branch] xmfan/single_step -> origin/xmfan/single_step 2025-09-07T06:41:58.8365902Z * [new branch] xmfan/sth_0829 -> origin/xmfan/sth_0829 2025-09-07T06:41:58.8366064Z * [new branch] xmfan/test -> origin/xmfan/test 2025-09-07T06:41:58.8366244Z * [new branch] yguo/debug-0226-constexpr -> origin/yguo/debug-0226-constexpr 2025-09-07T06:41:58.8366438Z * [new branch] yguo/new_latest_changes -> origin/yguo/new_latest_changes 2025-09-07T06:41:58.8366675Z * [new branch] yguo/patch_constexpr_changes -> origin/yguo/patch_constexpr_changes 2025-09-07T06:41:58.8373493Z * [new branch] yihan_quantization -> origin/yihan_quantization 2025-09-07T06:41:58.8373892Z * [new branch] yiming/add_jit_trace_benchmark -> origin/yiming/add_jit_trace_benchmark 2025-09-07T06:41:58.8374206Z * [new branch] yiming/add_nativert_benchmark -> origin/yiming/add_nativert_benchmark 2025-09-07T06:41:58.8374384Z * [new branch] yiming/bootcamp -> origin/yiming/bootcamp 2025-09-07T06:41:58.8374556Z * [new branch] zainr/canary-test -> origin/zainr/canary-test 2025-09-07T06:41:58.8374884Z * [new branch] zainr/cleanup-gh-runners -> origin/zainr/cleanup-gh-runners 2025-09-07T06:41:58.8375482Z * [new branch] zainr/git-push-v2 -> origin/zainr/git-push-v2 2025-09-07T06:41:58.8375671Z * [new branch] zainr/pull-migration-c -> origin/zainr/pull-migration-c 2025-09-07T06:41:58.8375801Z * [new branch] zainr/test -> origin/zainr/test 2025-09-07T06:41:58.8376068Z * [new branch] zainr/test2 -> origin/zainr/test2 2025-09-07T06:41:58.8376201Z * [new branch] zainr/unstable -> origin/zainr/unstable 2025-09-07T06:41:58.8376344Z * [new branch] zainr/unstable-xla -> origin/zainr/unstable-xla 2025-09-07T06:41:58.8376479Z * [new branch] zasdfgbnm-patch-3 -> origin/zasdfgbnm-patch-3 2025-09-07T06:41:58.8379364Z * [new branch] zb2p -> origin/zb2p 2025-09-07T06:41:58.8379518Z * [new branch] zero_grad_optimization -> origin/zero_grad_optimization 2025-09-07T06:41:58.8379772Z * [new branch] zeros-and-scatter-part2 -> origin/zeros-and-scatter-part2 2025-09-07T06:41:58.8379943Z * [new branch] zhxchen17/scratch/0 -> origin/zhxchen17/scratch/0 2025-09-07T06:41:58.8380113Z * [new branch] zhxhcen17/moodycamel -> origin/zhxhcen17/moodycamel 2025-09-07T06:41:58.8380277Z * [new branch] zxiiro/main -> origin/zxiiro/main 2025-09-07T06:41:58.8384450Z * [new tag] bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug -> bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug 2025-09-07T06:41:58.8384611Z * [new tag] ci/binaries/77164 -> ci/binaries/77164 2025-09-07T06:41:58.8384737Z * [new tag] ciflow/binaries/156049 -> ciflow/binaries/156049 2025-09-07T06:41:58.8384880Z * [new tag] ciflow/binaries/156712 -> ciflow/binaries/156712 2025-09-07T06:41:58.8385002Z * [new tag] ciflow/binaries/157432 -> ciflow/binaries/157432 2025-09-07T06:41:58.8385115Z * [new tag] ciflow/binaries/157685 -> ciflow/binaries/157685 2025-09-07T06:41:58.8385240Z * [new tag] ciflow/binaries/157689 -> ciflow/binaries/157689 2025-09-07T06:41:58.8389702Z * [new tag] ciflow/binaries/158104 -> ciflow/binaries/158104 2025-09-07T06:41:58.8389881Z * [new tag] ciflow/binaries/160229 -> ciflow/binaries/160229 2025-09-07T06:41:58.8389996Z * [new tag] ciflow/binaries/160720 -> ciflow/binaries/160720 2025-09-07T06:41:58.8390107Z * [new tag] ciflow/binaries/162080 -> ciflow/binaries/162080 2025-09-07T06:41:58.8390226Z * [new tag] ciflow/binaries/162329 -> ciflow/binaries/162329 2025-09-07T06:41:58.8390527Z * [new tag] ciflow/binaries_libtorch/156049 -> ciflow/binaries_libtorch/156049 2025-09-07T06:41:58.8390681Z * [new tag] ciflow/binaries_libtorch/156711 -> ciflow/binaries_libtorch/156711 2025-09-07T06:41:58.8390817Z * [new tag] ciflow/binaries_libtorch/157432 -> ciflow/binaries_libtorch/157432 2025-09-07T06:41:58.8390952Z * [new tag] ciflow/binaries_wheel/156049 -> ciflow/binaries_wheel/156049 2025-09-07T06:41:58.8391080Z * [new tag] ciflow/binaries_wheel/156711 -> ciflow/binaries_wheel/156711 2025-09-07T06:41:58.8391203Z * [new tag] ciflow/binaries_wheel/157432 -> ciflow/binaries_wheel/157432 2025-09-07T06:41:58.8391332Z * [new tag] ciflow/binaries_wheel/162136 -> ciflow/binaries_wheel/162136 2025-09-07T06:41:58.8391455Z * [new tag] ciflow/binaries_wheel/162252 -> ciflow/binaries_wheel/162252 2025-09-07T06:41:58.8391589Z * [new tag] ciflow/binaries_wheel/162325 -> ciflow/binaries_wheel/162325 2025-09-07T06:41:58.8391907Z * [new tag] ciflow/h100-distributed/156703 -> ciflow/h100-distributed/156703 2025-09-07T06:41:58.8392085Z * [new tag] ciflow/h100-symm-mem/157635 -> ciflow/h100-symm-mem/157635 2025-09-07T06:41:58.8392280Z * [new tag] ciflow/h100-symm-mem/161984 -> ciflow/h100-symm-mem/161984 2025-09-07T06:41:58.8392446Z * [new tag] ciflow/h100-symm-mem/162003 -> ciflow/h100-symm-mem/162003 2025-09-07T06:41:58.8392694Z * [new tag] ciflow/h100-symm-mem/162011 -> ciflow/h100-symm-mem/162011 2025-09-07T06:41:58.8393346Z * [new tag] ciflow/h100-symm-mem/162026 -> ciflow/h100-symm-mem/162026 2025-09-07T06:41:58.8393499Z * [new tag] ciflow/h100-symm-mem/162033 -> ciflow/h100-symm-mem/162033 2025-09-07T06:41:58.8393631Z * [new tag] ciflow/h100-symm-mem/162040 -> ciflow/h100-symm-mem/162040 2025-09-07T06:41:58.8393774Z * [new tag] ciflow/h100-symm-mem/162041 -> ciflow/h100-symm-mem/162041 2025-09-07T06:41:58.8393901Z * [new tag] ciflow/h100-symm-mem/162142 -> ciflow/h100-symm-mem/162142 2025-09-07T06:41:58.8397847Z * [new tag] ciflow/h100-symm-mem/162150 -> ciflow/h100-symm-mem/162150 2025-09-07T06:41:58.8398161Z * [new tag] ciflow/h100-symm-mem/162243 -> ciflow/h100-symm-mem/162243 2025-09-07T06:41:58.8398364Z * [new tag] ciflow/h100-symm-mem/162320 -> ciflow/h100-symm-mem/162320 2025-09-07T06:41:58.8398528Z * [new tag] ciflow/h100/159158 -> ciflow/h100/159158 2025-09-07T06:41:58.8398670Z * [new tag] ciflow/h100/160480 -> ciflow/h100/160480 2025-09-07T06:41:58.8398793Z * [new tag] ciflow/h100/161749 -> ciflow/h100/161749 2025-09-07T06:41:58.8398907Z * [new tag] ciflow/h100/162022 -> ciflow/h100/162022 2025-09-07T06:41:58.8399146Z * [new tag] ciflow/h100/162278 -> ciflow/h100/162278 2025-09-07T06:41:58.8399952Z * [new tag] ciflow/inductor-perf-test-nightly-rocm/156592 -> ciflow/inductor-perf-test-nightly-rocm/156592 2025-09-07T06:41:58.8400192Z * [new tag] ciflow/inductor-perf-test-nightly/156592 -> ciflow/inductor-perf-test-nightly/156592 2025-09-07T06:41:58.8400364Z * [new tag] ciflow/inductor-periodic/162063 -> ciflow/inductor-periodic/162063 2025-09-07T06:41:58.8400547Z * [new tag] ciflow/inductor-periodic/162227 -> ciflow/inductor-periodic/162227 2025-09-07T06:41:58.8400694Z * [new tag] ciflow/inductor-periodic/162323 -> ciflow/inductor-periodic/162323 2025-09-07T06:41:58.8400838Z * [new tag] ciflow/inductor-rocm/154170 -> ciflow/inductor-rocm/154170 2025-09-07T06:41:58.8400968Z * [new tag] ciflow/inductor-rocm/159146 -> ciflow/inductor-rocm/159146 2025-09-07T06:41:58.8401257Z * [new tag] ciflow/inductor-rocm/159158 -> ciflow/inductor-rocm/159158 2025-09-07T06:41:58.8401391Z * [new tag] ciflow/inductor-rocm/161715 -> ciflow/inductor-rocm/161715 2025-09-07T06:41:58.8401519Z * [new tag] ciflow/inductor-rocm/162053 -> ciflow/inductor-rocm/162053 2025-09-07T06:41:58.8401655Z * [new tag] ciflow/inductor-rocm/162056 -> ciflow/inductor-rocm/162056 2025-09-07T06:41:58.8401780Z * [new tag] ciflow/inductor/137400 -> ciflow/inductor/137400 2025-09-07T06:41:58.8401912Z * [new tag] ciflow/inductor/148180 -> ciflow/inductor/148180 2025-09-07T06:41:58.8402045Z * [new tag] ciflow/inductor/148328 -> ciflow/inductor/148328 2025-09-07T06:41:58.8402170Z * [new tag] ciflow/inductor/148484 -> ciflow/inductor/148484 2025-09-07T06:41:58.8402316Z * [new tag] ciflow/inductor/148492 -> ciflow/inductor/148492 2025-09-07T06:41:58.8403127Z * [new tag] ciflow/inductor/152624 -> ciflow/inductor/152624 2025-09-07T06:41:58.8403554Z * [new tag] ciflow/inductor/154694 -> ciflow/inductor/154694 2025-09-07T06:41:58.8403889Z * [new tag] ciflow/inductor/156049 -> ciflow/inductor/156049 2025-09-07T06:41:58.8404151Z * [new tag] ciflow/inductor/156592 -> ciflow/inductor/156592 2025-09-07T06:41:58.8404575Z * [new tag] ciflow/inductor/157635 -> ciflow/inductor/157635 2025-09-07T06:41:58.8405061Z * [new tag] ciflow/inductor/157685 -> ciflow/inductor/157685 2025-09-07T06:41:58.8405642Z * [new tag] ciflow/inductor/157686 -> ciflow/inductor/157686 2025-09-07T06:41:58.8409109Z * [new tag] ciflow/inductor/157689 -> ciflow/inductor/157689 2025-09-07T06:41:58.8409279Z * [new tag] ciflow/inductor/157699 -> ciflow/inductor/157699 2025-09-07T06:41:58.8409421Z * [new tag] ciflow/inductor/157743 -> ciflow/inductor/157743 2025-09-07T06:41:58.8409552Z * [new tag] ciflow/inductor/157994 -> ciflow/inductor/157994 2025-09-07T06:41:58.8409670Z * [new tag] ciflow/inductor/158091 -> ciflow/inductor/158091 2025-09-07T06:41:58.8409797Z * [new tag] ciflow/inductor/158104 -> ciflow/inductor/158104 2025-09-07T06:41:58.8409919Z * [new tag] ciflow/inductor/158404 -> ciflow/inductor/158404 2025-09-07T06:41:58.8410226Z * [new tag] ciflow/inductor/158647 -> ciflow/inductor/158647 2025-09-07T06:41:58.8410370Z * [new tag] ciflow/inductor/158932 -> ciflow/inductor/158932 2025-09-07T06:41:58.8410500Z * [new tag] ciflow/inductor/159146 -> ciflow/inductor/159146 2025-09-07T06:41:58.8410964Z * [new tag] ciflow/inductor/159158 -> ciflow/inductor/159158 2025-09-07T06:41:58.8415455Z * [new tag] ciflow/inductor/159274 -> ciflow/inductor/159274 2025-09-07T06:41:58.8415617Z * [new tag] ciflow/inductor/159664 -> ciflow/inductor/159664 2025-09-07T06:41:58.8415745Z * [new tag] ciflow/inductor/159778 -> ciflow/inductor/159778 2025-09-07T06:41:58.8415870Z * [new tag] ciflow/inductor/159835 -> ciflow/inductor/159835 2025-09-07T06:41:58.8415988Z * [new tag] ciflow/inductor/159944 -> ciflow/inductor/159944 2025-09-07T06:41:58.8416115Z * [new tag] ciflow/inductor/160161 -> ciflow/inductor/160161 2025-09-07T06:41:58.8416238Z * [new tag] ciflow/inductor/160174 -> ciflow/inductor/160174 2025-09-07T06:41:58.8421854Z * [new tag] ciflow/inductor/160323 -> ciflow/inductor/160323 2025-09-07T06:41:58.8423918Z * [new tag] ciflow/inductor/160324 -> ciflow/inductor/160324 2025-09-07T06:41:58.8424388Z * [new tag] ciflow/inductor/160325 -> ciflow/inductor/160325 2025-09-07T06:41:58.8429108Z * [new tag] ciflow/inductor/160326 -> ciflow/inductor/160326 2025-09-07T06:41:58.8431525Z * [new tag] ciflow/inductor/160327 -> ciflow/inductor/160327 2025-09-07T06:41:58.8431694Z * [new tag] ciflow/inductor/160328 -> ciflow/inductor/160328 2025-09-07T06:41:58.8431813Z * [new tag] ciflow/inductor/160329 -> ciflow/inductor/160329 2025-09-07T06:41:58.8431944Z * [new tag] ciflow/inductor/160480 -> ciflow/inductor/160480 2025-09-07T06:41:58.8432056Z * [new tag] ciflow/inductor/160532 -> ciflow/inductor/160532 2025-09-07T06:41:58.8432166Z * [new tag] ciflow/inductor/160539 -> ciflow/inductor/160539 2025-09-07T06:41:58.8432285Z * [new tag] ciflow/inductor/160580 -> ciflow/inductor/160580 2025-09-07T06:41:58.8432399Z * [new tag] ciflow/inductor/160685 -> ciflow/inductor/160685 2025-09-07T06:41:58.8432521Z * [new tag] ciflow/inductor/160686 -> ciflow/inductor/160686 2025-09-07T06:41:58.8432630Z * [new tag] ciflow/inductor/160687 -> ciflow/inductor/160687 2025-09-07T06:41:58.8432737Z * [new tag] ciflow/inductor/160688 -> ciflow/inductor/160688 2025-09-07T06:41:58.8432850Z * [new tag] ciflow/inductor/160690 -> ciflow/inductor/160690 2025-09-07T06:41:58.8432957Z * [new tag] ciflow/inductor/160706 -> ciflow/inductor/160706 2025-09-07T06:41:58.8433259Z * [new tag] ciflow/inductor/160729 -> ciflow/inductor/160729 2025-09-07T06:41:58.8433378Z * [new tag] ciflow/inductor/160798 -> ciflow/inductor/160798 2025-09-07T06:41:58.8433496Z * [new tag] ciflow/inductor/160836 -> ciflow/inductor/160836 2025-09-07T06:41:58.8433604Z * [new tag] ciflow/inductor/160843 -> ciflow/inductor/160843 2025-09-07T06:41:58.8433717Z * [new tag] ciflow/inductor/160869 -> ciflow/inductor/160869 2025-09-07T06:41:58.8433832Z * [new tag] ciflow/inductor/160920 -> ciflow/inductor/160920 2025-09-07T06:41:58.8433940Z * [new tag] ciflow/inductor/160943 -> ciflow/inductor/160943 2025-09-07T06:41:58.8434055Z * [new tag] ciflow/inductor/161092 -> ciflow/inductor/161092 2025-09-07T06:41:58.8434167Z * [new tag] ciflow/inductor/161093 -> ciflow/inductor/161093 2025-09-07T06:41:58.8434283Z * [new tag] ciflow/inductor/161109 -> ciflow/inductor/161109 2025-09-07T06:41:58.8434390Z * [new tag] ciflow/inductor/161118 -> ciflow/inductor/161118 2025-09-07T06:41:58.8434498Z * [new tag] ciflow/inductor/161178 -> ciflow/inductor/161178 2025-09-07T06:41:58.8434611Z * [new tag] ciflow/inductor/161246 -> ciflow/inductor/161246 2025-09-07T06:41:58.8434727Z * [new tag] ciflow/inductor/161349 -> ciflow/inductor/161349 2025-09-07T06:41:58.8435176Z * [new tag] ciflow/inductor/161350 -> ciflow/inductor/161350 2025-09-07T06:41:58.8435568Z * [new tag] ciflow/inductor/161351 -> ciflow/inductor/161351 2025-09-07T06:41:58.8436028Z * [new tag] ciflow/inductor/161397 -> ciflow/inductor/161397 2025-09-07T06:41:58.8436469Z * [new tag] ciflow/inductor/161404 -> ciflow/inductor/161404 2025-09-07T06:41:58.8436889Z * [new tag] ciflow/inductor/161405 -> ciflow/inductor/161405 2025-09-07T06:41:58.8437301Z * [new tag] ciflow/inductor/161406 -> ciflow/inductor/161406 2025-09-07T06:41:58.8440510Z * [new tag] ciflow/inductor/161410 -> ciflow/inductor/161410 2025-09-07T06:41:58.8440666Z * [new tag] ciflow/inductor/161414 -> ciflow/inductor/161414 2025-09-07T06:41:58.8440926Z * [new tag] ciflow/inductor/161442 -> ciflow/inductor/161442 2025-09-07T06:41:58.8441043Z * [new tag] ciflow/inductor/161458 -> ciflow/inductor/161458 2025-09-07T06:41:58.8441170Z * [new tag] ciflow/inductor/161468 -> ciflow/inductor/161468 2025-09-07T06:41:58.8441292Z * [new tag] ciflow/inductor/161469 -> ciflow/inductor/161469 2025-09-07T06:41:58.8441413Z * [new tag] ciflow/inductor/161485 -> ciflow/inductor/161485 2025-09-07T06:41:58.8441752Z * [new tag] ciflow/inductor/161499 -> ciflow/inductor/161499 2025-09-07T06:41:58.8442046Z * [new tag] ciflow/inductor/161534 -> ciflow/inductor/161534 2025-09-07T06:41:58.8442308Z * [new tag] ciflow/inductor/161595 -> ciflow/inductor/161595 2025-09-07T06:41:58.8442681Z * [new tag] ciflow/inductor/161596 -> ciflow/inductor/161596 2025-09-07T06:41:58.8443815Z * [new tag] ciflow/inductor/161630 -> ciflow/inductor/161630 2025-09-07T06:41:58.8444124Z * [new tag] ciflow/inductor/161667 -> ciflow/inductor/161667 2025-09-07T06:41:58.8444407Z * [new tag] ciflow/inductor/161670 -> ciflow/inductor/161670 2025-09-07T06:41:58.8444898Z * [new tag] ciflow/inductor/161673 -> ciflow/inductor/161673 2025-09-07T06:41:58.8445361Z * [new tag] ciflow/inductor/161674 -> ciflow/inductor/161674 2025-09-07T06:41:58.8449381Z * [new tag] ciflow/inductor/161675 -> ciflow/inductor/161675 2025-09-07T06:41:58.8449558Z * [new tag] ciflow/inductor/161693 -> ciflow/inductor/161693 2025-09-07T06:41:58.8449681Z * [new tag] ciflow/inductor/161695 -> ciflow/inductor/161695 2025-09-07T06:41:58.8449809Z * [new tag] ciflow/inductor/161715 -> ciflow/inductor/161715 2025-09-07T06:41:58.8449934Z * [new tag] ciflow/inductor/161730 -> ciflow/inductor/161730 2025-09-07T06:41:58.8450054Z * [new tag] ciflow/inductor/161732 -> ciflow/inductor/161732 2025-09-07T06:41:58.8450168Z * [new tag] ciflow/inductor/161744 -> ciflow/inductor/161744 2025-09-07T06:41:58.8450286Z * [new tag] ciflow/inductor/161746 -> ciflow/inductor/161746 2025-09-07T06:41:58.8450421Z * [new tag] ciflow/inductor/161747 -> ciflow/inductor/161747 2025-09-07T06:41:58.8450576Z * [new tag] ciflow/inductor/161819 -> ciflow/inductor/161819 2025-09-07T06:41:58.8451019Z * [new tag] ciflow/inductor/161821 -> ciflow/inductor/161821 2025-09-07T06:41:58.8451403Z * [new tag] ciflow/inductor/161828 -> ciflow/inductor/161828 2025-09-07T06:41:58.8451903Z * [new tag] ciflow/inductor/161879 -> ciflow/inductor/161879 2025-09-07T06:41:58.8452299Z * [new tag] ciflow/inductor/161880 -> ciflow/inductor/161880 2025-09-07T06:41:58.8452684Z * [new tag] ciflow/inductor/161881 -> ciflow/inductor/161881 2025-09-07T06:41:58.8455166Z * [new tag] ciflow/inductor/161907 -> ciflow/inductor/161907 2025-09-07T06:41:58.8455481Z * [new tag] ciflow/inductor/161914 -> ciflow/inductor/161914 2025-09-07T06:41:58.8455614Z * [new tag] ciflow/inductor/161924 -> ciflow/inductor/161924 2025-09-07T06:41:58.8455746Z * [new tag] ciflow/inductor/161936 -> ciflow/inductor/161936 2025-09-07T06:41:58.8455853Z * [new tag] ciflow/inductor/161938 -> ciflow/inductor/161938 2025-09-07T06:41:58.8456105Z * [new tag] ciflow/inductor/161939 -> ciflow/inductor/161939 2025-09-07T06:41:58.8456228Z * [new tag] ciflow/inductor/161940 -> ciflow/inductor/161940 2025-09-07T06:41:58.8456427Z * [new tag] ciflow/inductor/161955 -> ciflow/inductor/161955 2025-09-07T06:41:58.8456828Z * [new tag] ciflow/inductor/161957 -> ciflow/inductor/161957 2025-09-07T06:41:58.8457726Z * [new tag] ciflow/inductor/161975 -> ciflow/inductor/161975 2025-09-07T06:41:58.8457888Z * [new tag] ciflow/inductor/161977 -> ciflow/inductor/161977 2025-09-07T06:41:58.8458179Z * [new tag] ciflow/inductor/161978 -> ciflow/inductor/161978 2025-09-07T06:41:58.8458526Z * [new tag] ciflow/inductor/161979 -> ciflow/inductor/161979 2025-09-07T06:41:58.8458992Z * [new tag] ciflow/inductor/161980 -> ciflow/inductor/161980 2025-09-07T06:41:58.8459343Z * [new tag] ciflow/inductor/161988 -> ciflow/inductor/161988 2025-09-07T06:41:58.8462029Z * [new tag] ciflow/inductor/161994 -> ciflow/inductor/161994 2025-09-07T06:41:58.8462329Z * [new tag] ciflow/inductor/162013 -> ciflow/inductor/162013 2025-09-07T06:41:58.8462541Z * [new tag] ciflow/inductor/162014 -> ciflow/inductor/162014 2025-09-07T06:41:58.8462678Z * [new tag] ciflow/inductor/162017 -> ciflow/inductor/162017 2025-09-07T06:41:58.8462790Z * [new tag] ciflow/inductor/162021 -> ciflow/inductor/162021 2025-09-07T06:41:58.8462912Z * [new tag] ciflow/inductor/162023 -> ciflow/inductor/162023 2025-09-07T06:41:58.8463141Z * [new tag] ciflow/inductor/162027 -> ciflow/inductor/162027 2025-09-07T06:41:58.8463407Z * [new tag] ciflow/inductor/162029 -> ciflow/inductor/162029 2025-09-07T06:41:58.8463536Z * [new tag] ciflow/inductor/162030 -> ciflow/inductor/162030 2025-09-07T06:41:58.8463773Z * [new tag] ciflow/inductor/162031 -> ciflow/inductor/162031 2025-09-07T06:41:58.8464623Z * [new tag] ciflow/inductor/162033 -> ciflow/inductor/162033 2025-09-07T06:41:58.8464767Z * [new tag] ciflow/inductor/162052 -> ciflow/inductor/162052 2025-09-07T06:41:58.8468592Z * [new tag] ciflow/inductor/162053 -> ciflow/inductor/162053 2025-09-07T06:41:58.8468743Z * [new tag] ciflow/inductor/162056 -> ciflow/inductor/162056 2025-09-07T06:41:58.8468866Z * [new tag] ciflow/inductor/162063 -> ciflow/inductor/162063 2025-09-07T06:41:58.8468974Z * [new tag] ciflow/inductor/162066 -> ciflow/inductor/162066 2025-09-07T06:41:58.8469098Z * [new tag] ciflow/inductor/162068 -> ciflow/inductor/162068 2025-09-07T06:41:58.8469214Z * [new tag] ciflow/inductor/162081 -> ciflow/inductor/162081 2025-09-07T06:41:58.8469323Z * [new tag] ciflow/inductor/162088 -> ciflow/inductor/162088 2025-09-07T06:41:58.8469442Z * [new tag] ciflow/inductor/162089 -> ciflow/inductor/162089 2025-09-07T06:41:58.8469739Z * [new tag] ciflow/inductor/162094 -> ciflow/inductor/162094 2025-09-07T06:41:58.8469879Z * [new tag] ciflow/inductor/162098 -> ciflow/inductor/162098 2025-09-07T06:41:58.8469987Z * [new tag] ciflow/inductor/162101 -> ciflow/inductor/162101 2025-09-07T06:41:58.8470278Z * [new tag] ciflow/inductor/162102 -> ciflow/inductor/162102 2025-09-07T06:41:58.8471374Z * [new tag] ciflow/inductor/162104 -> ciflow/inductor/162104 2025-09-07T06:41:58.8471691Z * [new tag] ciflow/inductor/162106 -> ciflow/inductor/162106 2025-09-07T06:41:58.8471852Z * [new tag] ciflow/inductor/162108 -> ciflow/inductor/162108 2025-09-07T06:41:58.8475176Z * [new tag] ciflow/inductor/162126 -> ciflow/inductor/162126 2025-09-07T06:41:58.8475455Z * [new tag] ciflow/inductor/162149 -> ciflow/inductor/162149 2025-09-07T06:41:58.8475854Z * [new tag] ciflow/inductor/162164 -> ciflow/inductor/162164 2025-09-07T06:41:58.8475990Z * [new tag] ciflow/inductor/162166 -> ciflow/inductor/162166 2025-09-07T06:41:58.8476109Z * [new tag] ciflow/inductor/162169 -> ciflow/inductor/162169 2025-09-07T06:41:58.8476216Z * [new tag] ciflow/inductor/162170 -> ciflow/inductor/162170 2025-09-07T06:41:58.8476336Z * [new tag] ciflow/inductor/162171 -> ciflow/inductor/162171 2025-09-07T06:41:58.8476554Z * [new tag] ciflow/inductor/162183 -> ciflow/inductor/162183 2025-09-07T06:41:58.8476675Z * [new tag] ciflow/inductor/162189 -> ciflow/inductor/162189 2025-09-07T06:41:58.8478599Z * [new tag] ciflow/inductor/162190 -> ciflow/inductor/162190 2025-09-07T06:41:58.8478752Z * [new tag] ciflow/inductor/162191 -> ciflow/inductor/162191 2025-09-07T06:41:58.8478888Z * [new tag] ciflow/inductor/162194 -> ciflow/inductor/162194 2025-09-07T06:41:58.8479012Z * [new tag] ciflow/inductor/162200 -> ciflow/inductor/162200 2025-09-07T06:41:58.8479130Z * [new tag] ciflow/inductor/162201 -> ciflow/inductor/162201 2025-09-07T06:41:58.8479253Z * [new tag] ciflow/inductor/162208 -> ciflow/inductor/162208 2025-09-07T06:41:58.8479365Z * [new tag] ciflow/inductor/162211 -> ciflow/inductor/162211 2025-09-07T06:41:58.8479783Z * [new tag] ciflow/inductor/162216 -> ciflow/inductor/162216 2025-09-07T06:41:58.8479914Z * [new tag] ciflow/inductor/162220 -> ciflow/inductor/162220 2025-09-07T06:41:58.8480537Z * [new tag] ciflow/inductor/162222 -> ciflow/inductor/162222 2025-09-07T06:41:58.8480693Z * [new tag] ciflow/inductor/162227 -> ciflow/inductor/162227 2025-09-07T06:41:58.8480949Z * [new tag] ciflow/inductor/162238 -> ciflow/inductor/162238 2025-09-07T06:41:58.8481072Z * [new tag] ciflow/inductor/162239 -> ciflow/inductor/162239 2025-09-07T06:41:58.8481197Z * [new tag] ciflow/inductor/162240 -> ciflow/inductor/162240 2025-09-07T06:41:58.8481530Z * [new tag] ciflow/inductor/162244 -> ciflow/inductor/162244 2025-09-07T06:41:58.8482206Z * [new tag] ciflow/inductor/162245 -> ciflow/inductor/162245 2025-09-07T06:41:58.8482511Z * [new tag] ciflow/inductor/162262 -> ciflow/inductor/162262 2025-09-07T06:41:58.8482991Z * [new tag] ciflow/inductor/162275 -> ciflow/inductor/162275 2025-09-07T06:41:58.8483302Z * [new tag] ciflow/inductor/162278 -> ciflow/inductor/162278 2025-09-07T06:41:58.8484156Z * [new tag] ciflow/inductor/162284 -> ciflow/inductor/162284 2025-09-07T06:41:58.8484430Z * [new tag] ciflow/inductor/162286 -> ciflow/inductor/162286 2025-09-07T06:41:58.8484703Z * [new tag] ciflow/inductor/162288 -> ciflow/inductor/162288 2025-09-07T06:41:58.8485167Z * [new tag] ciflow/inductor/162293 -> ciflow/inductor/162293 2025-09-07T06:41:58.8485623Z * [new tag] ciflow/inductor/162294 -> ciflow/inductor/162294 2025-09-07T06:41:58.8486307Z * [new tag] ciflow/inductor/162295 -> ciflow/inductor/162295 2025-09-07T06:41:58.8486558Z * [new tag] ciflow/inductor/162296 -> ciflow/inductor/162296 2025-09-07T06:41:58.8489927Z * [new tag] ciflow/inductor/162298 -> ciflow/inductor/162298 2025-09-07T06:41:58.8490098Z * [new tag] ciflow/inductor/162307 -> ciflow/inductor/162307 2025-09-07T06:41:58.8490235Z * [new tag] ciflow/inductor/162309 -> ciflow/inductor/162309 2025-09-07T06:41:58.8490363Z * [new tag] ciflow/inductor/162311 -> ciflow/inductor/162311 2025-09-07T06:41:58.8490647Z * [new tag] ciflow/inductor/162312 -> ciflow/inductor/162312 2025-09-07T06:41:58.8490780Z * [new tag] ciflow/inductor/162315 -> ciflow/inductor/162315 2025-09-07T06:41:58.8490904Z * [new tag] ciflow/inductor/162316 -> ciflow/inductor/162316 2025-09-07T06:41:58.8491205Z * [new tag] ciflow/inductor/162318 -> ciflow/inductor/162318 2025-09-07T06:41:58.8491342Z * [new tag] ciflow/inductor/162323 -> ciflow/inductor/162323 2025-09-07T06:41:58.8491479Z * [new tag] ciflow/inductor/162341 -> ciflow/inductor/162341 2025-09-07T06:41:58.8491603Z * [new tag] ciflow/inductor/162345 -> ciflow/inductor/162345 2025-09-07T06:41:58.8496191Z * [new tag] ciflow/inductor/3b9a386 -> ciflow/inductor/3b9a386 2025-09-07T06:41:58.8500832Z * [new tag] ciflow/inductor/3d4b92b -> ciflow/inductor/3d4b92b 2025-09-07T06:41:58.8505413Z * [new tag] ciflow/inductor/d224ac7 -> ciflow/inductor/d224ac7 2025-09-07T06:41:58.8508971Z * [new tag] ciflow/linux-aarch64/157994 -> ciflow/linux-aarch64/157994 2025-09-07T06:41:58.8509132Z * [new tag] ciflow/linux-aarch64/159737 -> ciflow/linux-aarch64/159737 2025-09-07T06:41:58.8509276Z * [new tag] ciflow/linux-aarch64/160078 -> ciflow/linux-aarch64/160078 2025-09-07T06:41:58.8509391Z * [new tag] ciflow/mps/157553 -> ciflow/mps/157553 2025-09-07T06:41:58.8509626Z * [new tag] ciflow/mps/157635 -> ciflow/mps/157635 2025-09-07T06:41:58.8509735Z * [new tag] ciflow/mps/161988 -> ciflow/mps/161988 2025-09-07T06:41:58.8509832Z * [new tag] ciflow/mps/162108 -> ciflow/mps/162108 2025-09-07T06:41:58.8509934Z * [new tag] ciflow/mps/162153 -> ciflow/mps/162153 2025-09-07T06:41:58.8510042Z * [new tag] ciflow/mps/162281 -> ciflow/mps/162281 2025-09-07T06:41:58.8510166Z * [new tag] ciflow/nightly/156049 -> ciflow/nightly/156049 2025-09-07T06:41:58.8510285Z * [new tag] ciflow/nightly/158104 -> ciflow/nightly/158104 2025-09-07T06:41:58.8510417Z * [new tag] ciflow/op-benchmark/157994 -> ciflow/op-benchmark/157994 2025-09-07T06:41:58.8510595Z * [new tag] ciflow/periodic-rocm-mi300/161529 -> ciflow/periodic-rocm-mi300/161529 2025-09-07T06:41:58.8510756Z * [new tag] ciflow/periodic-rocm-mi300/161715 -> ciflow/periodic-rocm-mi300/161715 2025-09-07T06:41:58.8510877Z * [new tag] ciflow/periodic/054a2fd -> ciflow/periodic/054a2fd 2025-09-07T06:41:58.8510997Z * [new tag] ciflow/periodic/156703 -> ciflow/periodic/156703 2025-09-07T06:41:58.8511105Z * [new tag] ciflow/periodic/161715 -> ciflow/periodic/161715 2025-09-07T06:41:58.8511224Z * [new tag] ciflow/periodic/162021 -> ciflow/periodic/162021 2025-09-07T06:41:58.8511333Z * [new tag] ciflow/periodic/162323 -> ciflow/periodic/162323 2025-09-07T06:41:58.8511457Z * [new tag] ciflow/periodic/2a6d37d -> ciflow/periodic/2a6d37d 2025-09-07T06:41:58.8511571Z * [new tag] ciflow/periodic/317eeb8 -> ciflow/periodic/317eeb8 2025-09-07T06:41:58.8511680Z * [new tag] ciflow/periodic/3c32 -> ciflow/periodic/3c32 2025-09-07T06:41:58.8511801Z * [new tag] ciflow/periodic/3e98831 -> ciflow/periodic/3e98831 2025-09-07T06:41:58.8511926Z * [new tag] ciflow/periodic/94512-point -> ciflow/periodic/94512-point 2025-09-07T06:41:58.8512070Z * [new tag] ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519 2025-09-07T06:41:58.8512202Z * [new tag] ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275 2025-09-07T06:41:58.8512371Z * [new tag] ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761 2025-09-07T06:41:58.8512504Z * [new tag] ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12 2025-09-07T06:41:58.8512641Z * [new tag] ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0 2025-09-07T06:41:58.8512774Z * [new tag] ciflow/periodic/sha-ec5b83 -> ciflow/periodic/sha-ec5b83 2025-09-07T06:41:58.8512887Z * [new tag] ciflow/rocm-mi300/154170 -> ciflow/rocm-mi300/154170 2025-09-07T06:41:58.8513016Z * [new tag] ciflow/rocm-mi300/158747 -> ciflow/rocm-mi300/158747 2025-09-07T06:41:58.8513128Z * [new tag] ciflow/rocm-mi300/159146 -> ciflow/rocm-mi300/159146 2025-09-07T06:41:58.8513235Z * [new tag] ciflow/rocm-mi300/159158 -> ciflow/rocm-mi300/159158 2025-09-07T06:41:58.8513351Z * [new tag] ciflow/rocm-mi300/161715 -> ciflow/rocm-mi300/161715 2025-09-07T06:41:58.8513461Z * [new tag] ciflow/rocm-mi300/161957 -> ciflow/rocm-mi300/161957 2025-09-07T06:41:58.8513576Z * [new tag] ciflow/rocm-mi300/162053 -> ciflow/rocm-mi300/162053 2025-09-07T06:41:58.8513683Z * [new tag] ciflow/rocm-mi300/162056 -> ciflow/rocm-mi300/162056 2025-09-07T06:41:58.8513796Z * [new tag] ciflow/rocm-mi300/162112 -> ciflow/rocm-mi300/162112 2025-09-07T06:41:58.8513901Z * [new tag] ciflow/rocm-mi300/162245 -> ciflow/rocm-mi300/162245 2025-09-07T06:41:58.8514046Z * [new tag] ciflow/rocm-mi300/162278 -> ciflow/rocm-mi300/162278 2025-09-07T06:41:58.8514170Z * [new tag] ciflow/rocm-mi300/162288 -> ciflow/rocm-mi300/162288 2025-09-07T06:41:58.8514822Z * [new tag] ciflow/rocm-mi355/162053 -> ciflow/rocm-mi355/162053 2025-09-07T06:41:58.8514988Z * [new tag] ciflow/rocm-mi355/162056 -> ciflow/rocm-mi355/162056 2025-09-07T06:41:58.8515886Z * [new tag] ciflow/rocm/148492 -> ciflow/rocm/148492 2025-09-07T06:41:58.8516203Z * [new tag] ciflow/rocm/154170 -> ciflow/rocm/154170 2025-09-07T06:41:58.8516604Z * [new tag] ciflow/rocm/156491 -> ciflow/rocm/156491 2025-09-07T06:41:58.8516902Z * [new tag] ciflow/rocm/156592 -> ciflow/rocm/156592 2025-09-07T06:41:58.8517358Z * [new tag] ciflow/rocm/158747 -> ciflow/rocm/158747 2025-09-07T06:41:58.8517672Z * [new tag] ciflow/rocm/159146 -> ciflow/rocm/159146 2025-09-07T06:41:58.8518594Z * [new tag] ciflow/rocm/159158 -> ciflow/rocm/159158 2025-09-07T06:41:58.8518722Z * [new tag] ciflow/rocm/161715 -> ciflow/rocm/161715 2025-09-07T06:41:58.8519350Z * [new tag] ciflow/rocm/161972 -> ciflow/rocm/161972 2025-09-07T06:41:58.8519493Z * [new tag] ciflow/rocm/162052 -> ciflow/rocm/162052 2025-09-07T06:41:58.8520296Z * [new tag] ciflow/rocm/162053 -> ciflow/rocm/162053 2025-09-07T06:41:58.8520438Z * [new tag] ciflow/rocm/162056 -> ciflow/rocm/162056 2025-09-07T06:41:58.8521512Z * [new tag] ciflow/rocm/162112 -> ciflow/rocm/162112 2025-09-07T06:41:58.8522156Z * [new tag] ciflow/rocm/162278 -> ciflow/rocm/162278 2025-09-07T06:41:58.8522327Z * [new tag] ciflow/rocm/162288 -> ciflow/rocm/162288 2025-09-07T06:41:58.8522478Z * [new tag] ciflow/rocm/162305 -> ciflow/rocm/162305 2025-09-07T06:41:58.8523568Z * [new tag] ciflow/slow/01c7106 -> ciflow/slow/01c7106 2025-09-07T06:41:58.8523911Z * [new tag] ciflow/slow/0577043 -> ciflow/slow/0577043 2025-09-07T06:41:58.8524702Z * [new tag] ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym 2025-09-07T06:41:58.8525187Z * [new tag] ciflow/slow/0e81104 -> ciflow/slow/0e81104 2025-09-07T06:41:58.8525538Z * [new tag] ciflow/slow/161395 -> ciflow/slow/161395 2025-09-07T06:41:58.8526249Z * [new tag] ciflow/slow/1732077 -> ciflow/slow/1732077 2025-09-07T06:41:58.8526745Z * [new tag] ciflow/slow/187eb7c -> ciflow/slow/187eb7c 2025-09-07T06:41:58.8527760Z * [new tag] ciflow/slow/1faef89 -> ciflow/slow/1faef89 2025-09-07T06:41:58.8527968Z * [new tag] ciflow/slow/3920ec1 -> ciflow/slow/3920ec1 2025-09-07T06:41:58.8528914Z * [new tag] ciflow/slow/3b7c6b2 -> ciflow/slow/3b7c6b2 2025-09-07T06:41:58.8529122Z * [new tag] ciflow/slow/59a3759 -> ciflow/slow/59a3759 2025-09-07T06:41:58.8529534Z * [new tag] ciflow/slow/70ef0bb -> ciflow/slow/70ef0bb 2025-09-07T06:41:58.8532452Z * [new tag] ciflow/slow/788ff06 -> ciflow/slow/788ff06 2025-09-07T06:41:58.8533016Z * [new tag] ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym 2025-09-07T06:41:58.8533144Z * [new tag] ciflow/slow/9d85864 -> ciflow/slow/9d85864 2025-09-07T06:41:58.8533265Z * [new tag] ciflow/slow/9ffad5b -> ciflow/slow/9ffad5b 2025-09-07T06:41:58.8533570Z * [new tag] ciflow/slow/a206e8b -> ciflow/slow/a206e8b 2025-09-07T06:41:58.8533694Z * [new tag] ciflow/slow/a837609 -> ciflow/slow/a837609 2025-09-07T06:41:58.8534021Z * [new tag] ciflow/slow/af841f3 -> ciflow/slow/af841f3 2025-09-07T06:41:58.8537547Z * [new tag] ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym 2025-09-07T06:41:58.8537831Z * [new tag] ciflow/triton_binaries/162329 -> ciflow/triton_binaries/162329 2025-09-07T06:41:58.8538002Z * [new tag] ciflow/trunk/113258 -> ciflow/trunk/113258 2025-09-07T06:41:58.8538123Z * [new tag] ciflow/trunk/137400 -> ciflow/trunk/137400 2025-09-07T06:41:58.8538233Z * [new tag] ciflow/trunk/148180 -> ciflow/trunk/148180 2025-09-07T06:41:58.8538454Z * [new tag] ciflow/trunk/148328 -> ciflow/trunk/148328 2025-09-07T06:41:58.8538579Z * [new tag] ciflow/trunk/148492 -> ciflow/trunk/148492 2025-09-07T06:41:58.8538752Z * [new tag] ciflow/trunk/148919 -> ciflow/trunk/148919 2025-09-07T06:41:58.8538873Z * [new tag] ciflow/trunk/152624 -> ciflow/trunk/152624 2025-09-07T06:41:58.8538982Z * [new tag] ciflow/trunk/154170 -> ciflow/trunk/154170 2025-09-07T06:41:58.8539201Z * [new tag] ciflow/trunk/154694 -> ciflow/trunk/154694 2025-09-07T06:41:58.8539326Z * [new tag] ciflow/trunk/156049 -> ciflow/trunk/156049 2025-09-07T06:41:58.8541682Z * [new tag] ciflow/trunk/156703 -> ciflow/trunk/156703 2025-09-07T06:41:58.8541808Z * [new tag] ciflow/trunk/156711 -> ciflow/trunk/156711 2025-09-07T06:41:58.8541981Z * [new tag] ciflow/trunk/157432 -> ciflow/trunk/157432 2025-09-07T06:41:58.8542138Z * [new tag] ciflow/trunk/157685 -> ciflow/trunk/157685 2025-09-07T06:41:58.8542240Z * [new tag] ciflow/trunk/157689 -> ciflow/trunk/157689 2025-09-07T06:41:58.8542472Z * [new tag] ciflow/trunk/157699 -> ciflow/trunk/157699 2025-09-07T06:41:58.8542573Z * [new tag] ciflow/trunk/157813 -> ciflow/trunk/157813 2025-09-07T06:41:58.8542866Z * [new tag] ciflow/trunk/157994 -> ciflow/trunk/157994 2025-09-07T06:41:58.8542989Z * [new tag] ciflow/trunk/158091 -> ciflow/trunk/158091 2025-09-07T06:41:58.8545158Z * [new tag] ciflow/trunk/158104 -> ciflow/trunk/158104 2025-09-07T06:41:58.8545289Z * [new tag] ciflow/trunk/158404 -> ciflow/trunk/158404 2025-09-07T06:41:58.8545392Z * [new tag] ciflow/trunk/158647 -> ciflow/trunk/158647 2025-09-07T06:41:58.8545625Z * [new tag] ciflow/trunk/158846 -> ciflow/trunk/158846 2025-09-07T06:41:58.8545741Z * [new tag] ciflow/trunk/159158 -> ciflow/trunk/159158 2025-09-07T06:41:58.8545941Z * [new tag] ciflow/trunk/159682 -> ciflow/trunk/159682 2025-09-07T06:41:58.8546059Z * [new tag] ciflow/trunk/159835 -> ciflow/trunk/159835 2025-09-07T06:41:58.8546192Z * [new tag] ciflow/trunk/160161 -> ciflow/trunk/160161 2025-09-07T06:41:58.8546484Z * [new tag] ciflow/trunk/160236 -> ciflow/trunk/160236 2025-09-07T06:41:58.8546599Z * [new tag] ciflow/trunk/160329 -> ciflow/trunk/160329 2025-09-07T06:41:58.8549344Z * [new tag] ciflow/trunk/160480 -> ciflow/trunk/160480 2025-09-07T06:41:58.8549457Z * [new tag] ciflow/trunk/160532 -> ciflow/trunk/160532 2025-09-07T06:41:58.8549633Z * [new tag] ciflow/trunk/160836 -> ciflow/trunk/160836 2025-09-07T06:41:58.8549793Z * [new tag] ciflow/trunk/160843 -> ciflow/trunk/160843 2025-09-07T06:41:58.8549995Z * [new tag] ciflow/trunk/160869 -> ciflow/trunk/160869 2025-09-07T06:41:58.8550115Z * [new tag] ciflow/trunk/160940 -> ciflow/trunk/160940 2025-09-07T06:41:58.8550223Z * [new tag] ciflow/trunk/160943 -> ciflow/trunk/160943 2025-09-07T06:41:58.8550443Z * [new tag] ciflow/trunk/160953 -> ciflow/trunk/160953 2025-09-07T06:41:58.8550546Z * [new tag] ciflow/trunk/161035 -> ciflow/trunk/161035 2025-09-07T06:41:58.8550729Z * [new tag] ciflow/trunk/161178 -> ciflow/trunk/161178 2025-09-07T06:41:58.8555497Z * [new tag] ciflow/trunk/161349 -> ciflow/trunk/161349 2025-09-07T06:41:58.8555664Z * [new tag] ciflow/trunk/161350 -> ciflow/trunk/161350 2025-09-07T06:41:58.8555790Z * [new tag] ciflow/trunk/161351 -> ciflow/trunk/161351 2025-09-07T06:41:58.8555895Z * [new tag] ciflow/trunk/161395 -> ciflow/trunk/161395 2025-09-07T06:41:58.8556007Z * [new tag] ciflow/trunk/161405 -> ciflow/trunk/161405 2025-09-07T06:41:58.8556115Z * [new tag] ciflow/trunk/161406 -> ciflow/trunk/161406 2025-09-07T06:41:58.8556253Z * [new tag] ciflow/trunk/161410 -> ciflow/trunk/161410 2025-09-07T06:41:58.8556358Z * [new tag] ciflow/trunk/161468 -> ciflow/trunk/161468 2025-09-07T06:41:58.8556468Z * [new tag] ciflow/trunk/161499 -> ciflow/trunk/161499 2025-09-07T06:41:58.8556569Z * [new tag] ciflow/trunk/161527 -> ciflow/trunk/161527 2025-09-07T06:41:58.8556671Z * [new tag] ciflow/trunk/161534 -> ciflow/trunk/161534 2025-09-07T06:41:58.8556780Z * [new tag] ciflow/trunk/161591 -> ciflow/trunk/161591 2025-09-07T06:41:58.8556893Z * [new tag] ciflow/trunk/161595 -> ciflow/trunk/161595 2025-09-07T06:41:58.8558730Z * [new tag] ciflow/trunk/161596 -> ciflow/trunk/161596 2025-09-07T06:41:58.8558875Z * [new tag] ciflow/trunk/161633 -> ciflow/trunk/161633 2025-09-07T06:41:58.8558991Z * [new tag] ciflow/trunk/161634 -> ciflow/trunk/161634 2025-09-07T06:41:58.8559249Z * [new tag] ciflow/trunk/161635 -> ciflow/trunk/161635 2025-09-07T06:41:58.8559359Z * [new tag] ciflow/trunk/161667 -> ciflow/trunk/161667 2025-09-07T06:41:58.8559478Z * [new tag] ciflow/trunk/161670 -> ciflow/trunk/161670 2025-09-07T06:41:58.8559588Z * [new tag] ciflow/trunk/161692 -> ciflow/trunk/161692 2025-09-07T06:41:58.8559706Z * [new tag] ciflow/trunk/161693 -> ciflow/trunk/161693 2025-09-07T06:41:58.8559822Z * [new tag] ciflow/trunk/161695 -> ciflow/trunk/161695 2025-09-07T06:41:58.8559928Z * [new tag] ciflow/trunk/161730 -> ciflow/trunk/161730 2025-09-07T06:41:58.8560044Z * [new tag] ciflow/trunk/161744 -> ciflow/trunk/161744 2025-09-07T06:41:58.8560150Z * [new tag] ciflow/trunk/161749 -> ciflow/trunk/161749 2025-09-07T06:41:58.8560272Z * [new tag] ciflow/trunk/161881 -> ciflow/trunk/161881 2025-09-07T06:41:58.8560376Z * [new tag] ciflow/trunk/161924 -> ciflow/trunk/161924 2025-09-07T06:41:58.8560487Z * [new tag] ciflow/trunk/161926 -> ciflow/trunk/161926 2025-09-07T06:41:58.8560706Z * [new tag] ciflow/trunk/161936 -> ciflow/trunk/161936 2025-09-07T06:41:58.8561016Z * [new tag] ciflow/trunk/161952 -> ciflow/trunk/161952 2025-09-07T06:41:58.8561871Z * [new tag] ciflow/trunk/161955 -> ciflow/trunk/161955 2025-09-07T06:41:58.8561985Z * [new tag] ciflow/trunk/161957 -> ciflow/trunk/161957 2025-09-07T06:41:58.8562322Z * [new tag] ciflow/trunk/161959 -> ciflow/trunk/161959 2025-09-07T06:41:58.8562882Z * [new tag] ciflow/trunk/161977 -> ciflow/trunk/161977 2025-09-07T06:41:58.8563239Z * [new tag] ciflow/trunk/161988 -> ciflow/trunk/161988 2025-09-07T06:41:58.8563896Z * [new tag] ciflow/trunk/161994 -> ciflow/trunk/161994 2025-09-07T06:41:58.8564058Z * [new tag] ciflow/trunk/162007 -> ciflow/trunk/162007 2025-09-07T06:41:58.8564994Z * [new tag] ciflow/trunk/162013 -> ciflow/trunk/162013 2025-09-07T06:41:58.8565360Z * [new tag] ciflow/trunk/162017 -> ciflow/trunk/162017 2025-09-07T06:41:58.8565752Z * [new tag] ciflow/trunk/162021 -> ciflow/trunk/162021 2025-09-07T06:41:58.8566007Z * [new tag] ciflow/trunk/162022 -> ciflow/trunk/162022 2025-09-07T06:41:58.8566932Z * [new tag] ciflow/trunk/162040 -> ciflow/trunk/162040 2025-09-07T06:41:58.8567168Z * [new tag] ciflow/trunk/162041 -> ciflow/trunk/162041 2025-09-07T06:41:58.8567642Z * [new tag] ciflow/trunk/162062 -> ciflow/trunk/162062 2025-09-07T06:41:58.8567945Z * [new tag] ciflow/trunk/162066 -> ciflow/trunk/162066 2025-09-07T06:41:58.8568843Z * [new tag] ciflow/trunk/162089 -> ciflow/trunk/162089 2025-09-07T06:41:58.8569122Z * [new tag] ciflow/trunk/162099 -> ciflow/trunk/162099 2025-09-07T06:41:58.8569236Z * [new tag] ciflow/trunk/162104 -> ciflow/trunk/162104 2025-09-07T06:41:58.8569774Z * [new tag] ciflow/trunk/162106 -> ciflow/trunk/162106 2025-09-07T06:41:58.8570165Z * [new tag] ciflow/trunk/162112 -> ciflow/trunk/162112 2025-09-07T06:41:58.8570660Z * [new tag] ciflow/trunk/162119 -> ciflow/trunk/162119 2025-09-07T06:41:58.8571077Z * [new tag] ciflow/trunk/162142 -> ciflow/trunk/162142 2025-09-07T06:41:58.8571668Z * [new tag] ciflow/trunk/162169 -> ciflow/trunk/162169 2025-09-07T06:41:58.8571925Z * [new tag] ciflow/trunk/162183 -> ciflow/trunk/162183 2025-09-07T06:41:58.8572397Z * [new tag] ciflow/trunk/162190 -> ciflow/trunk/162190 2025-09-07T06:41:58.8572674Z * [new tag] ciflow/trunk/162194 -> ciflow/trunk/162194 2025-09-07T06:41:58.8573352Z * [new tag] ciflow/trunk/162200 -> ciflow/trunk/162200 2025-09-07T06:41:58.8573642Z * [new tag] ciflow/trunk/162206 -> ciflow/trunk/162206 2025-09-07T06:41:58.8574228Z * [new tag] ciflow/trunk/162208 -> ciflow/trunk/162208 2025-09-07T06:41:58.8574493Z * [new tag] ciflow/trunk/162222 -> ciflow/trunk/162222 2025-09-07T06:41:58.8574977Z * [new tag] ciflow/trunk/162238 -> ciflow/trunk/162238 2025-09-07T06:41:58.8575255Z * [new tag] ciflow/trunk/162244 -> ciflow/trunk/162244 2025-09-07T06:41:58.8576277Z * [new tag] ciflow/trunk/162267 -> ciflow/trunk/162267 2025-09-07T06:41:58.8576671Z * [new tag] ciflow/trunk/162269 -> ciflow/trunk/162269 2025-09-07T06:41:58.8577026Z * [new tag] ciflow/trunk/162278 -> ciflow/trunk/162278 2025-09-07T06:41:58.8577879Z * [new tag] ciflow/trunk/162286 -> ciflow/trunk/162286 2025-09-07T06:41:58.8578058Z * [new tag] ciflow/trunk/162288 -> ciflow/trunk/162288 2025-09-07T06:41:58.8578488Z * [new tag] ciflow/trunk/162293 -> ciflow/trunk/162293 2025-09-07T06:41:58.8578875Z * [new tag] ciflow/trunk/162310 -> ciflow/trunk/162310 2025-09-07T06:41:58.8579332Z * [new tag] ciflow/trunk/162311 -> ciflow/trunk/162311 2025-09-07T06:41:58.8579697Z * [new tag] ciflow/trunk/162315 -> ciflow/trunk/162315 2025-09-07T06:41:58.8580221Z * [new tag] ciflow/trunk/162325 -> ciflow/trunk/162325 2025-09-07T06:41:58.8580868Z * [new tag] ciflow/trunk/162328 -> ciflow/trunk/162328 2025-09-07T06:41:58.8581153Z * [new tag] ciflow/trunk/162329 -> ciflow/trunk/162329 2025-09-07T06:41:58.8582211Z * [new tag] ciflow/unstable/123 -> ciflow/unstable/123 2025-09-07T06:41:58.8582459Z * [new tag] ciflow/vllm/162292 -> ciflow/vllm/162292 2025-09-07T06:41:58.8582992Z * [new tag] ciflow/win-arm64/156049 -> ciflow/win-arm64/156049 2025-09-07T06:41:58.8583321Z * [new tag] ciflow/win-arm64/158104 -> ciflow/win-arm64/158104 2025-09-07T06:41:58.8584140Z * [new tag] ciflow/xpu/157699 -> ciflow/xpu/157699 2025-09-07T06:41:58.8584400Z * [new tag] ciflow/xpu/157994 -> ciflow/xpu/157994 2025-09-07T06:41:58.8584886Z * [new tag] ciflow/xpu/159459 -> ciflow/xpu/159459 2025-09-07T06:41:58.8585202Z * [new tag] ciflow/xpu/159718 -> ciflow/xpu/159718 2025-09-07T06:41:58.8585615Z * [new tag] ciflow/xpu/159944 -> ciflow/xpu/159944 2025-09-07T06:41:58.8586027Z * [new tag] ciflow/xpu/160867 -> ciflow/xpu/160867 2025-09-07T06:41:58.8586641Z * [new tag] ciflow/xpu/160938 -> ciflow/xpu/160938 2025-09-07T06:41:58.8586830Z * [new tag] ciflow/xpu/160940 -> ciflow/xpu/160940 2025-09-07T06:41:58.8587626Z * [new tag] ciflow/xpu/160953 -> ciflow/xpu/160953 2025-09-07T06:41:58.8588035Z * [new tag] ciflow/xpu/161045 -> ciflow/xpu/161045 2025-09-07T06:41:58.8588424Z * [new tag] ciflow/xpu/161058 -> ciflow/xpu/161058 2025-09-07T06:41:58.8589323Z * [new tag] ciflow/xpu/161246 -> ciflow/xpu/161246 2025-09-07T06:41:58.8589621Z * [new tag] ciflow/xpu/161397 -> ciflow/xpu/161397 2025-09-07T06:41:58.8590250Z * [new tag] ciflow/xpu/161485 -> ciflow/xpu/161485 2025-09-07T06:41:58.8590655Z * [new tag] ciflow/xpu/161988 -> ciflow/xpu/161988 2025-09-07T06:41:58.8590779Z * [new tag] ciflow/xpu/162062 -> ciflow/xpu/162062 2025-09-07T06:41:58.8591851Z * [new tag] cslpull75 -> cslpull75 2025-09-07T06:41:58.8592089Z * [new tag] cslpull76 -> cslpull76 2025-09-07T06:41:58.8592706Z * [new tag] cslpull77 -> cslpull77 2025-09-07T06:41:58.8593014Z * [new tag] cslpull78 -> cslpull78 2025-09-07T06:41:58.8593939Z * [new tag] cslpull79 -> cslpull79 2025-09-07T06:41:58.8594257Z * [new tag] cslpull80 -> cslpull80 2025-09-07T06:41:58.8595103Z * [new tag] cslpull81 -> cslpull81 2025-09-07T06:41:58.8595476Z * [new tag] cslpull82 -> cslpull82 2025-09-07T06:41:58.8595977Z * [new tag] cslpull83 -> cslpull83 2025-09-07T06:41:58.8596103Z * [new tag] cslpull84 -> cslpull84 2025-09-07T06:41:58.8597132Z * [new tag] cslpull85 -> cslpull85 2025-09-07T06:41:58.8597415Z * [new tag] cslpull86 -> cslpull86 2025-09-07T06:41:58.8598078Z * [new tag] cslpull87 -> cslpull87 2025-09-07T06:41:58.8598419Z * [new tag] cslpull88 -> cslpull88 2025-09-07T06:41:58.8599034Z * [new tag] cslpull89 -> cslpull89 2025-09-07T06:41:58.8599227Z * [new tag] cslpull90 -> cslpull90 2025-09-07T06:41:58.8600452Z * [new tag] cslpull91 -> cslpull91 2025-09-07T06:41:58.8600760Z * [new tag] cslpull92 -> cslpull92 2025-09-07T06:41:58.8601640Z * [new tag] flight_5 -> flight_5 2025-09-07T06:41:58.8601943Z * [new tag] flight_5.1 -> flight_5.1 2025-09-07T06:41:58.8602562Z * [new tag] flight_5.2 -> flight_5.2 2025-09-07T06:41:58.8602906Z * [new tag] flight_5.3 -> flight_5.3 2025-09-07T06:41:58.8603746Z * [new tag] forpull1 -> forpull1 2025-09-07T06:41:58.8604305Z * [new tag] malfet/tag-2ef5611 -> malfet/tag-2ef5611 2025-09-07T06:41:58.8604703Z * [new tag] malfet/tag-317b1a0 -> malfet/tag-317b1a0 2025-09-07T06:41:58.8605615Z * [new tag] malfet/tag-ec6f767 -> malfet/tag-ec6f767 2025-09-07T06:41:58.8605852Z * [new tag] nightly-binary -> nightly-binary 2025-09-07T06:41:58.8608691Z * [new tag] sqzhang_flight4_plus -> sqzhang_flight4_plus 2025-09-07T06:41:58.8608849Z * [new tag] sqzhang_flight_3 -> sqzhang_flight_3 2025-09-07T06:41:58.8609090Z * [new tag] trunk/00636e0171e7e733628c408084805442270cf608 -> trunk/00636e0171e7e733628c408084805442270cf608 2025-09-07T06:41:58.8609346Z * [new tag] trunk/019fed39aa6b2dd8c69347378d53423e5efae8d4 -> trunk/019fed39aa6b2dd8c69347378d53423e5efae8d4 2025-09-07T06:41:58.8609624Z * [new tag] trunk/01ab325cc2e0dc221af4d710974e1b9175066544 -> trunk/01ab325cc2e0dc221af4d710974e1b9175066544 2025-09-07T06:41:58.8610029Z * [new tag] trunk/01edcd4df8bf0c7b4cc2d3ec868bd2059eeea83b -> trunk/01edcd4df8bf0c7b4cc2d3ec868bd2059eeea83b 2025-09-07T06:41:58.8610652Z * [new tag] trunk/040d00af048967dde7938d358d7f5988cbd18388 -> trunk/040d00af048967dde7938d358d7f5988cbd18388 2025-09-07T06:41:58.8610899Z * [new tag] trunk/0447f2d99b4351b2ff129dce6eebb371024f73e5 -> trunk/0447f2d99b4351b2ff129dce6eebb371024f73e5 2025-09-07T06:41:58.8611352Z * [new tag] trunk/047603d35bdc70046216384838d6340feab79bf4 -> trunk/047603d35bdc70046216384838d6340feab79bf4 2025-09-07T06:41:58.8614316Z * [new tag] trunk/06da7c0730b3764f178ec3a90dedf4ffa4202d81 -> trunk/06da7c0730b3764f178ec3a90dedf4ffa4202d81 2025-09-07T06:41:58.8614857Z * [new tag] trunk/081cab045472ce045634548cc6c14a4870641e23 -> trunk/081cab045472ce045634548cc6c14a4870641e23 2025-09-07T06:41:58.8615363Z * [new tag] trunk/09587daf8c9f21f5340f73921ce5f23d1a4a4572 -> trunk/09587daf8c9f21f5340f73921ce5f23d1a4a4572 2025-09-07T06:41:58.8616144Z * [new tag] trunk/09be1890d72cc34fc946965dc4a27736bf0ca8c6 -> trunk/09be1890d72cc34fc946965dc4a27736bf0ca8c6 2025-09-07T06:41:58.8616386Z * [new tag] trunk/09d2f1b6315d6d416fbf452793d65795863ebc66 -> trunk/09d2f1b6315d6d416fbf452793d65795863ebc66 2025-09-07T06:41:58.8616626Z * [new tag] trunk/0af70e2353e1dcda83175fd4834ecb7b63e009e0 -> trunk/0af70e2353e1dcda83175fd4834ecb7b63e009e0 2025-09-07T06:41:58.8616848Z * [new tag] trunk/0c0e056a9e20c17271a6144dd32c0c7e3ba26736 -> trunk/0c0e056a9e20c17271a6144dd32c0c7e3ba26736 2025-09-07T06:41:58.8617064Z * [new tag] trunk/0cd6c56bdfa9178ff61be82ce3b178926ddb64a9 -> trunk/0cd6c56bdfa9178ff61be82ce3b178926ddb64a9 2025-09-07T06:41:58.8617456Z * [new tag] trunk/0d421ace32c1605ee8e452ee1eeb03bd243dd96c -> trunk/0d421ace32c1605ee8e452ee1eeb03bd243dd96c 2025-09-07T06:41:58.8617951Z * [new tag] trunk/0d71a9dd5b4b6d1dde58d91c9b71d96bc6a6a171 -> trunk/0d71a9dd5b4b6d1dde58d91c9b71d96bc6a6a171 2025-09-07T06:41:58.8618477Z * [new tag] trunk/0d84ff3b78f55492d3d4708458c92d776274939e -> trunk/0d84ff3b78f55492d3d4708458c92d776274939e 2025-09-07T06:41:58.8619058Z * [new tag] trunk/0f45aaf4414048b17d720d0915ce221a8de8ec63 -> trunk/0f45aaf4414048b17d720d0915ce221a8de8ec63 2025-09-07T06:41:58.8619321Z * [new tag] trunk/0ff8eabf1387de5acd6712a03bda61f1a3dfa27f -> trunk/0ff8eabf1387de5acd6712a03bda61f1a3dfa27f 2025-09-07T06:41:58.8619844Z * [new tag] trunk/104f2680e03d13a4765ca69f905d8f16fc0c822f -> trunk/104f2680e03d13a4765ca69f905d8f16fc0c822f 2025-09-07T06:41:58.8621903Z * [new tag] trunk/12814701555d3e41dfcdf8f9273af5821e322df0 -> trunk/12814701555d3e41dfcdf8f9273af5821e322df0 2025-09-07T06:41:58.8622318Z * [new tag] trunk/13b65196db422bdb394cb482e208c61ed448898c -> trunk/13b65196db422bdb394cb482e208c61ed448898c 2025-09-07T06:41:58.8622667Z * [new tag] trunk/13d66e2a66eceed14b8a8f5a971087df4f688a46 -> trunk/13d66e2a66eceed14b8a8f5a971087df4f688a46 2025-09-07T06:41:58.8622994Z * [new tag] trunk/145a3a7bda15e3963a33eb1b54bba5d4a270b225 -> trunk/145a3a7bda15e3963a33eb1b54bba5d4a270b225 2025-09-07T06:41:58.8623336Z * [new tag] trunk/146371483318e17929daefd37c8e459d9d6d47bb -> trunk/146371483318e17929daefd37c8e459d9d6d47bb 2025-09-07T06:41:58.8623967Z * [new tag] trunk/15c77a8cfd341e74fd124b077492ef2bfa51b339 -> trunk/15c77a8cfd341e74fd124b077492ef2bfa51b339 2025-09-07T06:41:58.8624229Z * [new tag] trunk/17fa8eec4a1e32939ab4d364ee6e75487a79b654 -> trunk/17fa8eec4a1e32939ab4d364ee6e75487a79b654 2025-09-07T06:41:58.8625240Z * [new tag] trunk/190c391a28845a14df26abb228d26aa813efb20c -> trunk/190c391a28845a14df26abb228d26aa813efb20c 2025-09-07T06:41:58.8625568Z * [new tag] trunk/1a588ace4667bde1331fbd8ed957157dca5cee68 -> trunk/1a588ace4667bde1331fbd8ed957157dca5cee68 2025-09-07T06:41:58.8626057Z * [new tag] trunk/1aa7476885e8f6e7b0ec3a5b6383aad9d3f343e7 -> trunk/1aa7476885e8f6e7b0ec3a5b6383aad9d3f343e7 2025-09-07T06:41:58.8626499Z * [new tag] trunk/1aeb421c342c9e9607842f4c87cb46e8e816ee53 -> trunk/1aeb421c342c9e9607842f4c87cb46e8e816ee53 2025-09-07T06:41:58.8627006Z * [new tag] trunk/1c1b28d5b6a942fafe23b2f09302d93c25226d4a -> trunk/1c1b28d5b6a942fafe23b2f09302d93c25226d4a 2025-09-07T06:41:58.8630803Z * [new tag] trunk/1ebd70d0c0d562d3be9abdee2a21906584af7d99 -> trunk/1ebd70d0c0d562d3be9abdee2a21906584af7d99 2025-09-07T06:41:58.8631206Z * [new tag] trunk/1ec2c15914da4ef7bd926ed9aebc8671c75fe965 -> trunk/1ec2c15914da4ef7bd926ed9aebc8671c75fe965 2025-09-07T06:41:58.8631569Z * [new tag] trunk/1f51056bd64e73d1aa81321bc3c098575b1bc78a -> trunk/1f51056bd64e73d1aa81321bc3c098575b1bc78a 2025-09-07T06:41:58.8631890Z * [new tag] trunk/1f820de639c75a1562d3fb03f160439f853ae07b -> trunk/1f820de639c75a1562d3fb03f160439f853ae07b 2025-09-07T06:41:58.8632512Z * [new tag] trunk/204697f0e695d82894c5010fbec664c4391f90cc -> trunk/204697f0e695d82894c5010fbec664c4391f90cc 2025-09-07T06:41:58.8632767Z * [new tag] trunk/20629b1619fe636227d01fc85ba221daa7185a05 -> trunk/20629b1619fe636227d01fc85ba221daa7185a05 2025-09-07T06:41:58.8633009Z * [new tag] trunk/20b47acef845e9c4f71da9429a396d293f50ebe7 -> trunk/20b47acef845e9c4f71da9429a396d293f50ebe7 2025-09-07T06:41:58.8633221Z * [new tag] trunk/20bfb2539d7c5250379648eda35f80b8a7d642dd -> trunk/20bfb2539d7c5250379648eda35f80b8a7d642dd 2025-09-07T06:41:58.8633439Z * [new tag] trunk/21fae99c180d17def562797ea0fb154d8fdf88e3 -> trunk/21fae99c180d17def562797ea0fb154d8fdf88e3 2025-09-07T06:41:58.8633798Z * [new tag] trunk/248355faf53f9f7ba2fd0a367d59600c6d991e7f -> trunk/248355faf53f9f7ba2fd0a367d59600c6d991e7f 2025-09-07T06:41:58.8634027Z * [new tag] trunk/25f4aaed9ec26f39c13862323ff8582006473d23 -> trunk/25f4aaed9ec26f39c13862323ff8582006473d23 2025-09-07T06:41:58.8634239Z * [new tag] trunk/261a84a1764412f8e659c956e3f81997ec3de9d5 -> trunk/261a84a1764412f8e659c956e3f81997ec3de9d5 2025-09-07T06:41:58.8634458Z * [new tag] trunk/28f4ab0737937858730f29f5c4e601e109cf9d5f -> trunk/28f4ab0737937858730f29f5c4e601e109cf9d5f 2025-09-07T06:41:58.8634755Z * [new tag] trunk/291cd11f2d5df6f48d348cce0e4e762f274f4dc4 -> trunk/291cd11f2d5df6f48d348cce0e4e762f274f4dc4 2025-09-07T06:41:58.8635182Z * [new tag] trunk/29280864d941e6108ab57f7298f520c0cf9696e9 -> trunk/29280864d941e6108ab57f7298f520c0cf9696e9 2025-09-07T06:41:58.8636119Z * [new tag] trunk/2a45837e98c63cae9d1a2e2133a727b829e549d5 -> trunk/2a45837e98c63cae9d1a2e2133a727b829e549d5 2025-09-07T06:41:58.8638896Z * [new tag] trunk/2a5c0785e2f975697fd7bdf1411de6e03dcaa1ef -> trunk/2a5c0785e2f975697fd7bdf1411de6e03dcaa1ef 2025-09-07T06:41:58.8639305Z * [new tag] trunk/2b8a83901c58a0858ea9e4ce00055f48e6ed164c -> trunk/2b8a83901c58a0858ea9e4ce00055f48e6ed164c 2025-09-07T06:41:58.8639606Z * [new tag] trunk/2ba65472dd54488a86a50326ea990195fc6732d6 -> trunk/2ba65472dd54488a86a50326ea990195fc6732d6 2025-09-07T06:41:58.8639981Z * [new tag] trunk/2c03f0acc53ed13fe8ebfe809129f25996e009a0 -> trunk/2c03f0acc53ed13fe8ebfe809129f25996e009a0 2025-09-07T06:41:58.8640318Z * [new tag] trunk/2dd529df0092799f68ee7afcf52338276906706a -> trunk/2dd529df0092799f68ee7afcf52338276906706a 2025-09-07T06:41:58.8640654Z * [new tag] trunk/2f6b4b1ad3f82bb3bd984f6e65744ea339ffb8b5 -> trunk/2f6b4b1ad3f82bb3bd984f6e65744ea339ffb8b5 2025-09-07T06:41:58.8640978Z * [new tag] trunk/2fa0520a64ed8aa734a56c4d124958f0b5711ca8 -> trunk/2fa0520a64ed8aa734a56c4d124958f0b5711ca8 2025-09-07T06:41:58.8641208Z * [new tag] trunk/302df2ac5dc4222294c09d48804a2dddb8f4bad8 -> trunk/302df2ac5dc4222294c09d48804a2dddb8f4bad8 2025-09-07T06:41:58.8641428Z * [new tag] trunk/33028597bfa2e0178e28c8cce33cb9b3800cac43 -> trunk/33028597bfa2e0178e28c8cce33cb9b3800cac43 2025-09-07T06:41:58.8641643Z * [new tag] trunk/34aa78274d6770086025a967fa63a86830e08176 -> trunk/34aa78274d6770086025a967fa63a86830e08176 2025-09-07T06:41:58.8642004Z * [new tag] trunk/3559c354ce6a14d11fe29fb12fa2747a2f2af449 -> trunk/3559c354ce6a14d11fe29fb12fa2747a2f2af449 2025-09-07T06:41:58.8642752Z * [new tag] trunk/36d207fcaaede0d1e58a5168084c307b32b6fd8b -> trunk/36d207fcaaede0d1e58a5168084c307b32b6fd8b 2025-09-07T06:41:58.8643001Z * [new tag] trunk/377033757ae5ca524ea842f1b0a5f446ed3d8fe0 -> trunk/377033757ae5ca524ea842f1b0a5f446ed3d8fe0 2025-09-07T06:41:58.8643240Z * [new tag] trunk/3771380f83fcac154a7c89ad679311d8c4818287 -> trunk/3771380f83fcac154a7c89ad679311d8c4818287 2025-09-07T06:41:58.8643692Z * [new tag] trunk/3a207816cc569f78863d86c01f2a3d265350e39f -> trunk/3a207816cc569f78863d86c01f2a3d265350e39f 2025-09-07T06:41:58.8644225Z * [new tag] trunk/3a20a20e7065ec927fdd216d4da3b04f879b3c67 -> trunk/3a20a20e7065ec927fdd216d4da3b04f879b3c67 2025-09-07T06:41:58.8644917Z * [new tag] trunk/3bbc2e3e4f025523eaa5dbff220b3e96bca608d0 -> trunk/3bbc2e3e4f025523eaa5dbff220b3e96bca608d0 2025-09-07T06:41:58.8645521Z * [new tag] trunk/3c0ff1b569c45cfa6935ad8031a9d4cf1551aa3f -> trunk/3c0ff1b569c45cfa6935ad8031a9d4cf1551aa3f 2025-09-07T06:41:58.8646055Z * [new tag] trunk/3c45af079afc92a03b03ddf4f9198902ffcf30cf -> trunk/3c45af079afc92a03b03ddf4f9198902ffcf30cf 2025-09-07T06:41:58.8646680Z * [new tag] trunk/3dde5d7f9bf80dd6623a712bc429e9e4302464b5 -> trunk/3dde5d7f9bf80dd6623a712bc429e9e4302464b5 2025-09-07T06:41:58.8647189Z * [new tag] trunk/403a3a393cda7e60f503f3b04b8805a845dcf45d -> trunk/403a3a393cda7e60f503f3b04b8805a845dcf45d 2025-09-07T06:41:58.8647760Z * [new tag] trunk/420c52ecf36f86d32da0853bfbe074b682b070aa -> trunk/420c52ecf36f86d32da0853bfbe074b682b070aa 2025-09-07T06:41:58.8648181Z * [new tag] trunk/43b7c86a2c0f91320f5c5f4827b111edff06fdb6 -> trunk/43b7c86a2c0f91320f5c5f4827b111edff06fdb6 2025-09-07T06:41:58.8648773Z * [new tag] trunk/451ed931562ec8b46d1f7e6c266a68132a119336 -> trunk/451ed931562ec8b46d1f7e6c266a68132a119336 2025-09-07T06:41:58.8649238Z * [new tag] trunk/480c7391126656154318fabf1d57ebc01e196e63 -> trunk/480c7391126656154318fabf1d57ebc01e196e63 2025-09-07T06:41:58.8650114Z * [new tag] trunk/48bedd753da22634aa94fbafeb731e82025404f3 -> trunk/48bedd753da22634aa94fbafeb731e82025404f3 2025-09-07T06:41:58.8650341Z * [new tag] trunk/494878a11b79071ada0b98f34042d47155be6d1c -> trunk/494878a11b79071ada0b98f34042d47155be6d1c 2025-09-07T06:41:58.8650732Z * [new tag] trunk/4ae57d448c0a7d37e4cfd5c27d977fad2cef4051 -> trunk/4ae57d448c0a7d37e4cfd5c27d977fad2cef4051 2025-09-07T06:41:58.8651271Z * [new tag] trunk/4cdaf8265d86f984254b62052da8c26ef61ef1cf -> trunk/4cdaf8265d86f984254b62052da8c26ef61ef1cf 2025-09-07T06:41:58.8651773Z * [new tag] trunk/4d4abec80f03cd8fdefe1d9cb3a60d3690cd777e -> trunk/4d4abec80f03cd8fdefe1d9cb3a60d3690cd777e 2025-09-07T06:41:58.8652332Z * [new tag] trunk/4e42aa8ffc44b8340eb0eeaf80a2cafc4763a186 -> trunk/4e42aa8ffc44b8340eb0eeaf80a2cafc4763a186 2025-09-07T06:41:58.8652817Z * [new tag] trunk/4f72d932feee0749397fec876dcd43994f50b215 -> trunk/4f72d932feee0749397fec876dcd43994f50b215 2025-09-07T06:41:58.8654826Z * [new tag] trunk/50fc22dedf3c4a27be61fa05551c4f320281b42d -> trunk/50fc22dedf3c4a27be61fa05551c4f320281b42d 2025-09-07T06:41:58.8655131Z * [new tag] trunk/5211f1f908907ffc064b56e43cf8659f7fc22aa9 -> trunk/5211f1f908907ffc064b56e43cf8659f7fc22aa9 2025-09-07T06:41:58.8655354Z * [new tag] trunk/524b78d4f67045b83bb69edc56ab16efe282971c -> trunk/524b78d4f67045b83bb69edc56ab16efe282971c 2025-09-07T06:41:58.8655586Z * [new tag] trunk/54e275e0d81fe1e1ccfa4fb5f2a5a9aaca00ca15 -> trunk/54e275e0d81fe1e1ccfa4fb5f2a5a9aaca00ca15 2025-09-07T06:41:58.8655949Z * [new tag] trunk/5561e45758d59c94605873d5db48ed459c004c3b -> trunk/5561e45758d59c94605873d5db48ed459c004c3b 2025-09-07T06:41:58.8656171Z * [new tag] trunk/57278d45f046d4f89f45d373b1af4dd56934ff24 -> trunk/57278d45f046d4f89f45d373b1af4dd56934ff24 2025-09-07T06:41:58.8656829Z * [new tag] trunk/5927a70934ccf7b70182d364c23245a7dd685503 -> trunk/5927a70934ccf7b70182d364c23245a7dd685503 2025-09-07T06:41:58.8657112Z * [new tag] trunk/5985e28912aeb40b103ebfcf2fd0665eb4a50599 -> trunk/5985e28912aeb40b103ebfcf2fd0665eb4a50599 2025-09-07T06:41:58.8657957Z * [new tag] trunk/5a2da090ed6db88bb657c4e51ec0b310cd08bff6 -> trunk/5a2da090ed6db88bb657c4e51ec0b310cd08bff6 2025-09-07T06:41:58.8659258Z * [new tag] trunk/5c473e9f5ee0ef0fc38e6cf34a95b547f8cdc8d5 -> trunk/5c473e9f5ee0ef0fc38e6cf34a95b547f8cdc8d5 2025-09-07T06:41:58.8659480Z * [new tag] trunk/5c67426d6847667a7c55a2dd01f470fa37238c18 -> trunk/5c67426d6847667a7c55a2dd01f470fa37238c18 2025-09-07T06:41:58.8659715Z * [new tag] trunk/5da573c42c332bc68d4b7946c69f690a876d951a -> trunk/5da573c42c332bc68d4b7946c69f690a876d951a 2025-09-07T06:41:58.8660302Z * [new tag] trunk/5e5870e858f60ff4bf87d03f3592097e934a9580 -> trunk/5e5870e858f60ff4bf87d03f3592097e934a9580 2025-09-07T06:41:58.8660874Z * [new tag] trunk/5f3cbc9442aa55b5afb29f4ac8ca9be569003e84 -> trunk/5f3cbc9442aa55b5afb29f4ac8ca9be569003e84 2025-09-07T06:41:58.8661441Z * [new tag] trunk/600c25e9a17fe56e3dee872be8854db08916ba0c -> trunk/600c25e9a17fe56e3dee872be8854db08916ba0c 2025-09-07T06:41:58.8661872Z * [new tag] trunk/601ae8e4831fc8123fffcfb8fd2e6b6381b42e14 -> trunk/601ae8e4831fc8123fffcfb8fd2e6b6381b42e14 2025-09-07T06:41:58.8662637Z * [new tag] trunk/6087ef41e54c2494b117ffd923faf20f515a6806 -> trunk/6087ef41e54c2494b117ffd923faf20f515a6806 2025-09-07T06:41:58.8662996Z * [new tag] trunk/626cb7df8161dd4ecb4fe43b60f37ce9076f56b1 -> trunk/626cb7df8161dd4ecb4fe43b60f37ce9076f56b1 2025-09-07T06:41:58.8663881Z * [new tag] trunk/62c3f9a97fd3dea7132a93066d32d893ffe101e6 -> trunk/62c3f9a97fd3dea7132a93066d32d893ffe101e6 2025-09-07T06:41:58.8664103Z * [new tag] trunk/63a9c23fe99eacfd09610c36dfe8f01b053c1a35 -> trunk/63a9c23fe99eacfd09610c36dfe8f01b053c1a35 2025-09-07T06:41:58.8664939Z * [new tag] trunk/65985937d97505f648b6ed852c3129f2dd08b251 -> trunk/65985937d97505f648b6ed852c3129f2dd08b251 2025-09-07T06:41:58.8668756Z * [new tag] trunk/66f3b4a682a6153517dd23369fdc3289b6494b07 -> trunk/66f3b4a682a6153517dd23369fdc3289b6494b07 2025-09-07T06:41:58.8669019Z * [new tag] trunk/6737e2c996990024187ba620d2764f3b6f6add2c -> trunk/6737e2c996990024187ba620d2764f3b6f6add2c 2025-09-07T06:41:58.8669240Z * [new tag] trunk/67c31dcd364f10072a55f4a30ffd1151c686283a -> trunk/67c31dcd364f10072a55f4a30ffd1151c686283a 2025-09-07T06:41:58.8669462Z * [new tag] trunk/68738beff73e9c3512e18b4edea811a897ce42db -> trunk/68738beff73e9c3512e18b4edea811a897ce42db 2025-09-07T06:41:58.8669664Z * [new tag] trunk/69a25f68884a168550695fdb1a7c310c54d29536 -> trunk/69a25f68884a168550695fdb1a7c310c54d29536 2025-09-07T06:41:58.8669883Z * [new tag] trunk/6b1900c22f1a07b9519346898d4c71d8a2b0f12f -> trunk/6b1900c22f1a07b9519346898d4c71d8a2b0f12f 2025-09-07T06:41:58.8670098Z * [new tag] trunk/6b8b3ac4403f771bd4a8f9a45d93347304148774 -> trunk/6b8b3ac4403f771bd4a8f9a45d93347304148774 2025-09-07T06:41:58.8670320Z * [new tag] trunk/6f7608d603834d6068b2e7a5d59bec3973b6bb1b -> trunk/6f7608d603834d6068b2e7a5d59bec3973b6bb1b 2025-09-07T06:41:58.8670524Z * [new tag] trunk/70d36e047dfb3488fd6335016711a784d810ebda -> trunk/70d36e047dfb3488fd6335016711a784d810ebda 2025-09-07T06:41:58.8670872Z * [new tag] trunk/71992dd805ff9d6763f77214dfe8b0465e88c87b -> trunk/71992dd805ff9d6763f77214dfe8b0465e88c87b 2025-09-07T06:41:58.8671091Z * [new tag] trunk/734ce8eba9c69381f187359bf0fef1d71d84cd20 -> trunk/734ce8eba9c69381f187359bf0fef1d71d84cd20 2025-09-07T06:41:58.8671343Z * [new tag] trunk/73eb4511fb863a37944342b7e92aae706de603c8 -> trunk/73eb4511fb863a37944342b7e92aae706de603c8 2025-09-07T06:41:58.8672011Z * [new tag] trunk/75bc23cfc345bd4c05e7f97c416c4b3d2d1fa64b -> trunk/75bc23cfc345bd4c05e7f97c416c4b3d2d1fa64b 2025-09-07T06:41:58.8672484Z * [new tag] trunk/771f369448321a387f2018535bc8b8b6e5f12fab -> trunk/771f369448321a387f2018535bc8b8b6e5f12fab 2025-09-07T06:41:58.8673089Z * [new tag] trunk/789d4942127143f2adcb53612c058ce4c9a2cf20 -> trunk/789d4942127143f2adcb53612c058ce4c9a2cf20 2025-09-07T06:41:58.8673370Z * [new tag] trunk/791eff96c85678c950888f9da24650083ee673fe -> trunk/791eff96c85678c950888f9da24650083ee673fe 2025-09-07T06:41:58.8674009Z * [new tag] trunk/793fc12aff1f69fbbf9f4278182fb52bbe350fc9 -> trunk/793fc12aff1f69fbbf9f4278182fb52bbe350fc9 2025-09-07T06:41:58.8674392Z * [new tag] trunk/79fcd5247a9a129eee526a14df30bfc6a22b3f01 -> trunk/79fcd5247a9a129eee526a14df30bfc6a22b3f01 2025-09-07T06:41:58.8674938Z * [new tag] trunk/7f4ff79210eb06924f223ae3a1941ee0e2635348 -> trunk/7f4ff79210eb06924f223ae3a1941ee0e2635348 2025-09-07T06:41:58.8675544Z * [new tag] trunk/8076a185c85112be62be292eb47409c88a585b1c -> trunk/8076a185c85112be62be292eb47409c88a585b1c 2025-09-07T06:41:58.8676002Z * [new tag] trunk/80dd397f1979371a5583fa3d5c7352029522a78d -> trunk/80dd397f1979371a5583fa3d5c7352029522a78d 2025-09-07T06:41:58.8676306Z * [new tag] trunk/8171d6052ec12628eb67e0040839314056014429 -> trunk/8171d6052ec12628eb67e0040839314056014429 2025-09-07T06:41:58.8677066Z * [new tag] trunk/81aeefa657b7ccc26b275c50a9f33b2f056e8071 -> trunk/81aeefa657b7ccc26b275c50a9f33b2f056e8071 2025-09-07T06:41:58.8677454Z * [new tag] trunk/81b7b16618bda250ce55982894a83dc0805eb64c -> trunk/81b7b16618bda250ce55982894a83dc0805eb64c 2025-09-07T06:41:58.8678204Z * [new tag] trunk/827f0d405448de31f79d1089f7d7fceab2f87895 -> trunk/827f0d405448de31f79d1089f7d7fceab2f87895 2025-09-07T06:41:58.8678622Z * [new tag] trunk/82f63c8f6de63c30132a8ac299b6e8c2fd0d3fe8 -> trunk/82f63c8f6de63c30132a8ac299b6e8c2fd0d3fe8 2025-09-07T06:41:58.8679184Z * [new tag] trunk/850e1382a9c56bfde18af09d3e72352d775e9435 -> trunk/850e1382a9c56bfde18af09d3e72352d775e9435 2025-09-07T06:41:58.8680538Z * [new tag] trunk/8678d831c48e616b717bff50f2d03141d2e9f965 -> trunk/8678d831c48e616b717bff50f2d03141d2e9f965 2025-09-07T06:41:58.8680769Z * [new tag] trunk/869cbcc16e489a4f5a14a93d5779b0ea86061c60 -> trunk/869cbcc16e489a4f5a14a93d5779b0ea86061c60 2025-09-07T06:41:58.8680995Z * [new tag] trunk/8703debf669bc2238211bfd039f4ecdd8228b7f7 -> trunk/8703debf669bc2238211bfd039f4ecdd8228b7f7 2025-09-07T06:41:58.8681683Z * [new tag] trunk/874069fbe46e82da5cfa405e6c0deb12e89ff608 -> trunk/874069fbe46e82da5cfa405e6c0deb12e89ff608 2025-09-07T06:41:58.8682169Z * [new tag] trunk/8875d6e394da2fffd04f31b28bf258c94d4776a3 -> trunk/8875d6e394da2fffd04f31b28bf258c94d4776a3 2025-09-07T06:41:58.8682726Z * [new tag] trunk/88d94d17e8c5155451393afa6eb3bab48ab61c16 -> trunk/88d94d17e8c5155451393afa6eb3bab48ab61c16 2025-09-07T06:41:58.8683375Z * [new tag] trunk/890626632def7e0ef95a2d01e87a0e4627824a9f -> trunk/890626632def7e0ef95a2d01e87a0e4627824a9f 2025-09-07T06:41:58.8683996Z * [new tag] trunk/8975cda2520b7b1b5bc3b4d8213edf261fa82570 -> trunk/8975cda2520b7b1b5bc3b4d8213edf261fa82570 2025-09-07T06:41:58.8684569Z * [new tag] trunk/89d41d3f61d04f14730ec26f008a59bef6624610 -> trunk/89d41d3f61d04f14730ec26f008a59bef6624610 2025-09-07T06:41:58.8685105Z * [new tag] trunk/8bb213b6d599ef1273fe52f9b1f6d476056c3a41 -> trunk/8bb213b6d599ef1273fe52f9b1f6d476056c3a41 2025-09-07T06:41:58.8686144Z * [new tag] trunk/8e23a1227b5fb2e39afaa7d57c075a75b640a5af -> trunk/8e23a1227b5fb2e39afaa7d57c075a75b640a5af 2025-09-07T06:41:58.8686781Z * [new tag] trunk/8ec551bb354ab2b85fbbba9d461740a20366d248 -> trunk/8ec551bb354ab2b85fbbba9d461740a20366d248 2025-09-07T06:41:58.8687408Z * [new tag] trunk/8fd3c9ce919c8d5c645fd348bba517e948cbc29d -> trunk/8fd3c9ce919c8d5c645fd348bba517e948cbc29d 2025-09-07T06:41:58.8688379Z * [new tag] trunk/90f50f7e68e120d9574e6e3189e37b4280010ad9 -> trunk/90f50f7e68e120d9574e6e3189e37b4280010ad9 2025-09-07T06:41:58.8688602Z * [new tag] trunk/91f0bcf43fc0bc743350d491ac63b77e92054ac9 -> trunk/91f0bcf43fc0bc743350d491ac63b77e92054ac9 2025-09-07T06:41:58.8690719Z * [new tag] trunk/92576a594b8121f6b0b1b5a3ea16d08792fc68ab -> trunk/92576a594b8121f6b0b1b5a3ea16d08792fc68ab 2025-09-07T06:41:58.8690966Z * [new tag] trunk/92a43025e0baa1f2ce345f28d22913b518a1ab9d -> trunk/92a43025e0baa1f2ce345f28d22913b518a1ab9d 2025-09-07T06:41:58.8691187Z * [new tag] trunk/93fb23d6fae7c4e82c4239a1033e522088742634 -> trunk/93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T06:41:58.8691403Z * [new tag] trunk/9458d1ac3bd70c2af316a8ba95d2c6c9c1199c9c -> trunk/9458d1ac3bd70c2af316a8ba95d2c6c9c1199c9c 2025-09-07T06:41:58.8691831Z * [new tag] trunk/9480cdc0b61488c89a23c2f64f43b2dcedc8728e -> trunk/9480cdc0b61488c89a23c2f64f43b2dcedc8728e 2025-09-07T06:41:58.8692286Z * [new tag] trunk/9491d289b329e4ba4a9f5f5b1be7960671bb7840 -> trunk/9491d289b329e4ba4a9f5f5b1be7960671bb7840 2025-09-07T06:41:58.8692704Z * [new tag] trunk/9499c8761cd2067feb9877414e818f6fd00290f1 -> trunk/9499c8761cd2067feb9877414e818f6fd00290f1 2025-09-07T06:41:58.8693296Z * [new tag] trunk/95ee0bfea99d3d346d6502b91b497d2b35795504 -> trunk/95ee0bfea99d3d346d6502b91b497d2b35795504 2025-09-07T06:41:58.8693826Z * [new tag] trunk/98374612fc2febd686be20761e56bdc2424bc36a -> trunk/98374612fc2febd686be20761e56bdc2424bc36a 2025-09-07T06:41:58.8694594Z * [new tag] trunk/98efc9e93d8fc61eb53cb91378443617cb550500 -> trunk/98efc9e93d8fc61eb53cb91378443617cb550500 2025-09-07T06:41:58.8695596Z * [new tag] trunk/994f2a5dbcbdc915da39bf6f6ce4d1f5e74835c9 -> trunk/994f2a5dbcbdc915da39bf6f6ce4d1f5e74835c9 2025-09-07T06:41:58.8695825Z * [new tag] trunk/99f356fa58c8d726cef022d8710f5491291158f6 -> trunk/99f356fa58c8d726cef022d8710f5491291158f6 2025-09-07T06:41:58.8697095Z * [new tag] trunk/9a1c5c0a078b94d13ac5c1ae0d754d19fb73bf99 -> trunk/9a1c5c0a078b94d13ac5c1ae0d754d19fb73bf99 2025-09-07T06:41:58.8697335Z * [new tag] trunk/9a665ca3c472384e9d722bddba79e5a7680f1abd -> trunk/9a665ca3c472384e9d722bddba79e5a7680f1abd 2025-09-07T06:41:58.8697559Z * [new tag] trunk/9aedb3cd87b52160872173c177f61053d97bed57 -> trunk/9aedb3cd87b52160872173c177f61053d97bed57 2025-09-07T06:41:58.8698841Z * [new tag] trunk/9b81fe281da41f2421506339d26b027a468902f4 -> trunk/9b81fe281da41f2421506339d26b027a468902f4 2025-09-07T06:41:58.8699079Z * [new tag] trunk/9bdcee01f86e2969cff1140cdecfca13cb51816e -> trunk/9bdcee01f86e2969cff1140cdecfca13cb51816e 2025-09-07T06:41:58.8699566Z * [new tag] trunk/9c03d6be87eedc06e524e202e07a7e776551a839 -> trunk/9c03d6be87eedc06e524e202e07a7e776551a839 2025-09-07T06:41:58.8700076Z * [new tag] trunk/9c957723a0fedd9c637e63e023a613019e2cab60 -> trunk/9c957723a0fedd9c637e63e023a613019e2cab60 2025-09-07T06:41:58.8700656Z * [new tag] trunk/9e5247f51d81735e5f1e65e80588985fa93bccc5 -> trunk/9e5247f51d81735e5f1e65e80588985fa93bccc5 2025-09-07T06:41:58.8701158Z * [new tag] trunk/9eadb37cdd699f7e8e8177a5227bfeb16184ef26 -> trunk/9eadb37cdd699f7e8e8177a5227bfeb16184ef26 2025-09-07T06:41:58.8701805Z * [new tag] trunk/a00cdc1e4159db73c9ffb3f25e93e55877709a29 -> trunk/a00cdc1e4159db73c9ffb3f25e93e55877709a29 2025-09-07T06:41:58.8702452Z * [new tag] trunk/a02ee4a816d11380c6f564c1aba64d56af5ba705 -> trunk/a02ee4a816d11380c6f564c1aba64d56af5ba705 2025-09-07T06:41:58.8702772Z * [new tag] trunk/a3c7f77e50f900721817934120d60c2361b3c40d -> trunk/a3c7f77e50f900721817934120d60c2361b3c40d 2025-09-07T06:41:58.8703945Z * [new tag] trunk/a3d72b09ae12126a2b7d4a63a45ac100a882a802 -> trunk/a3d72b09ae12126a2b7d4a63a45ac100a882a802 2025-09-07T06:41:58.8704250Z * [new tag] trunk/a3e5466002791da609fcb069155d8ee347baee92 -> trunk/a3e5466002791da609fcb069155d8ee347baee92 2025-09-07T06:41:58.8704559Z * [new tag] trunk/a714437093ed196eee28f7de454cf4c41badc098 -> trunk/a714437093ed196eee28f7de454cf4c41badc098 2025-09-07T06:41:58.8705129Z * [new tag] trunk/a75e8cd27098f290de0b7439685d05ce02e91356 -> trunk/a75e8cd27098f290de0b7439685d05ce02e91356 2025-09-07T06:41:58.8705559Z * [new tag] trunk/a8d6943d36c1c2a5f90d3573460695bad4b623ae -> trunk/a8d6943d36c1c2a5f90d3573460695bad4b623ae 2025-09-07T06:41:58.8706217Z * [new tag] trunk/a918bbad6ab20649ff82eefb48417ecbe96bcb34 -> trunk/a918bbad6ab20649ff82eefb48417ecbe96bcb34 2025-09-07T06:41:58.8706829Z * [new tag] trunk/a99d8d39bc842d6ebc3e368b178e4884d24b056e -> trunk/a99d8d39bc842d6ebc3e368b178e4884d24b056e 2025-09-07T06:41:58.8707341Z * [new tag] trunk/aac1a50a191b4102d566c9c1ea22f06d6c2e3f02 -> trunk/aac1a50a191b4102d566c9c1ea22f06d6c2e3f02 2025-09-07T06:41:58.8707933Z * [new tag] trunk/aad96a202244c7d0d120c04ba8db593edd8c0f92 -> trunk/aad96a202244c7d0d120c04ba8db593edd8c0f92 2025-09-07T06:41:58.8708509Z * [new tag] trunk/ab643e4dbbaf7b663d4237514cbf01af9b11565c -> trunk/ab643e4dbbaf7b663d4237514cbf01af9b11565c 2025-09-07T06:41:58.8709103Z * [new tag] trunk/abc447174cd2cf8591edbc70a9f836f9a5779f47 -> trunk/abc447174cd2cf8591edbc70a9f836f9a5779f47 2025-09-07T06:41:58.8709591Z * [new tag] trunk/acece97c3a9dceb63194e314da93fdf37cf15a0d -> trunk/acece97c3a9dceb63194e314da93fdf37cf15a0d 2025-09-07T06:41:58.8710548Z * [new tag] trunk/adae7f66aacf3f248c3101b858cf98d5809119fa -> trunk/adae7f66aacf3f248c3101b858cf98d5809119fa 2025-09-07T06:41:58.8710791Z * [new tag] trunk/ae0edc133e61e3b16caf0b2ee0ff3f33ab72af4c -> trunk/ae0edc133e61e3b16caf0b2ee0ff3f33ab72af4c 2025-09-07T06:41:58.8711601Z * [new tag] trunk/aed33a8fcbd60b052d4559d261390c5797129c6d -> trunk/aed33a8fcbd60b052d4559d261390c5797129c6d 2025-09-07T06:41:58.8712016Z * [new tag] trunk/b04e922712080a3652e438d05e8bb74e0cd2d238 -> trunk/b04e922712080a3652e438d05e8bb74e0cd2d238 2025-09-07T06:41:58.8713041Z * [new tag] trunk/b0a3e58dd71c1a039ac0ef51e5bd8f704f632f6f -> trunk/b0a3e58dd71c1a039ac0ef51e5bd8f704f632f6f 2025-09-07T06:41:58.8713270Z * [new tag] trunk/b16d3f4c8c01d461c2f01064e9ca5fa2b33f5cf1 -> trunk/b16d3f4c8c01d461c2f01064e9ca5fa2b33f5cf1 2025-09-07T06:41:58.8713880Z * [new tag] trunk/b18bb6796f210a183e687d9d64984a5a9d13cf09 -> trunk/b18bb6796f210a183e687d9d64984a5a9d13cf09 2025-09-07T06:41:58.8714562Z * [new tag] trunk/b1bb98ddebdd3e41bf7987372409bdce96ae55de -> trunk/b1bb98ddebdd3e41bf7987372409bdce96ae55de 2025-09-07T06:41:58.8715011Z * [new tag] trunk/b2b4add0e754411372060e1d7b4057a66439172b -> trunk/b2b4add0e754411372060e1d7b4057a66439172b 2025-09-07T06:41:58.8716042Z * [new tag] trunk/b2c7b9ad2dc5a7c0b61febd307761bd5bc2f0f05 -> trunk/b2c7b9ad2dc5a7c0b61febd307761bd5bc2f0f05 2025-09-07T06:41:58.8716289Z * [new tag] trunk/b40d9432be44a6b5974ee62e7d19c3c61c5ece37 -> trunk/b40d9432be44a6b5974ee62e7d19c3c61c5ece37 2025-09-07T06:41:58.8717010Z * [new tag] trunk/b4ad38279b178b7bd14355123c1101e2e853e77b -> trunk/b4ad38279b178b7bd14355123c1101e2e853e77b 2025-09-07T06:41:58.8717690Z * [new tag] trunk/b67c41039835bd9b20b83cd6233e86baaa5f5dde -> trunk/b67c41039835bd9b20b83cd6233e86baaa5f5dde 2025-09-07T06:41:58.8718771Z * [new tag] trunk/b6d0a9ea9056ede4f7024dbf3bd6c43be3aff49c -> trunk/b6d0a9ea9056ede4f7024dbf3bd6c43be3aff49c 2025-09-07T06:41:58.8719029Z * [new tag] trunk/b7dad7dd49448c88d0751fa2e29c70afe985f734 -> trunk/b7dad7dd49448c88d0751fa2e29c70afe985f734 2025-09-07T06:41:58.8719752Z * [new tag] trunk/b7e207ca9f046ddd716076965a0cce403ba99052 -> trunk/b7e207ca9f046ddd716076965a0cce403ba99052 2025-09-07T06:41:58.8720407Z * [new tag] trunk/b919560c4a7010e2d89facee25586269a994746e -> trunk/b919560c4a7010e2d89facee25586269a994746e 2025-09-07T06:41:58.8721238Z * [new tag] trunk/b9ba612f7a968f7b27e121ca8f4d0a4d954f5354 -> trunk/b9ba612f7a968f7b27e121ca8f4d0a4d954f5354 2025-09-07T06:41:58.8722243Z * [new tag] trunk/ba7f546ccccb5e0b36d9070dc25f26a9647f89f8 -> trunk/ba7f546ccccb5e0b36d9070dc25f26a9647f89f8 2025-09-07T06:41:58.8722571Z * [new tag] trunk/bb950284c7e72905994bc25dd436c10e48088d85 -> trunk/bb950284c7e72905994bc25dd436c10e48088d85 2025-09-07T06:41:58.8723647Z * [new tag] trunk/bbedc71fd3267c639c38b4ec25eaa22f973d9c4d -> trunk/bbedc71fd3267c639c38b4ec25eaa22f973d9c4d 2025-09-07T06:41:58.8723974Z * [new tag] trunk/bc4db2c27fce6ff1648bdc5af31ec225d2a31f37 -> trunk/bc4db2c27fce6ff1648bdc5af31ec225d2a31f37 2025-09-07T06:41:58.8724683Z * [new tag] trunk/bc505977fb66677a09c31155c987330fbb18a865 -> trunk/bc505977fb66677a09c31155c987330fbb18a865 2025-09-07T06:41:58.8725356Z * [new tag] trunk/bd39e47feea7326afb5bbb67fcb1e69279239527 -> trunk/bd39e47feea7326afb5bbb67fcb1e69279239527 2025-09-07T06:41:58.8725832Z * [new tag] trunk/be5b03dde96638f25ffd732a4fed7e41b4cf40e1 -> trunk/be5b03dde96638f25ffd732a4fed7e41b4cf40e1 2025-09-07T06:41:58.8726435Z * [new tag] trunk/bffc7dd1f374d8408911cd22c6b3d6df39ded9b3 -> trunk/bffc7dd1f374d8408911cd22c6b3d6df39ded9b3 2025-09-07T06:41:58.8727080Z * [new tag] trunk/c024b1f5a18d5c5aee5cc2acdd4c52b24b93ffcf -> trunk/c024b1f5a18d5c5aee5cc2acdd4c52b24b93ffcf 2025-09-07T06:41:58.8727759Z * [new tag] trunk/c0983e6cc0acf71689e1851d12609e00b3f59371 -> trunk/c0983e6cc0acf71689e1851d12609e00b3f59371 2025-09-07T06:41:58.8728467Z * [new tag] trunk/c10195e723eeeedd099ed8b73eda7184ca618fad -> trunk/c10195e723eeeedd099ed8b73eda7184ca618fad 2025-09-07T06:41:58.8728842Z * [new tag] trunk/c157cf6488ade6a7ee2ce2d25b059e1335630a99 -> trunk/c157cf6488ade6a7ee2ce2d25b059e1335630a99 2025-09-07T06:41:58.8729437Z * [new tag] trunk/c2a30246172fd71d56529907ffd3c27b76b1f3a7 -> trunk/c2a30246172fd71d56529907ffd3c27b76b1f3a7 2025-09-07T06:41:58.8730112Z * [new tag] trunk/c32111149921b48bfef909293f1049e21619ed76 -> trunk/c32111149921b48bfef909293f1049e21619ed76 2025-09-07T06:41:58.8730538Z * [new tag] trunk/c37103234afc832dcad307e9016230810957c9d5 -> trunk/c37103234afc832dcad307e9016230810957c9d5 2025-09-07T06:41:58.8731166Z * [new tag] trunk/c3ceca2995cd35e1376c4b0704669bff1a81e836 -> trunk/c3ceca2995cd35e1376c4b0704669bff1a81e836 2025-09-07T06:41:58.8731808Z * [new tag] trunk/c3d54dea9febb1236d48d19e5d4876a63f2e20fd -> trunk/c3d54dea9febb1236d48d19e5d4876a63f2e20fd 2025-09-07T06:41:58.8732311Z * [new tag] trunk/c465b3d52c5687fe910d35a5c75341b77f821741 -> trunk/c465b3d52c5687fe910d35a5c75341b77f821741 2025-09-07T06:41:58.8732849Z * [new tag] trunk/c5b8a10be5e89396da916d1069ffcb7135f0372b -> trunk/c5b8a10be5e89396da916d1069ffcb7135f0372b 2025-09-07T06:41:58.8733322Z * [new tag] trunk/c7e41071a08f4045bc11ab60ec366d7357d56e30 -> trunk/c7e41071a08f4045bc11ab60ec366d7357d56e30 2025-09-07T06:41:58.8734544Z * [new tag] trunk/c98ddaca6d2e19ca37aff00c4ff0cda1e9a6ff65 -> trunk/c98ddaca6d2e19ca37aff00c4ff0cda1e9a6ff65 2025-09-07T06:41:58.8734753Z * [new tag] trunk/cb1e31362c7b53acf4ac95b9f8878064c184f03b -> trunk/cb1e31362c7b53acf4ac95b9f8878064c184f03b 2025-09-07T06:41:58.8736993Z * [new tag] trunk/cbfb005f7cce79974795b148e265f594f59477c8 -> trunk/cbfb005f7cce79974795b148e265f594f59477c8 2025-09-07T06:41:58.8737275Z * [new tag] trunk/cc5bdd12401bda835291d2f3cb297132ebdbf358 -> trunk/cc5bdd12401bda835291d2f3cb297132ebdbf358 2025-09-07T06:41:58.8737507Z * [new tag] trunk/cd529b686d54bbaa443f5b310140de48422d96c7 -> trunk/cd529b686d54bbaa443f5b310140de48422d96c7 2025-09-07T06:41:58.8737787Z * [new tag] trunk/cec0ff122815582af5302360aff03676558c5c87 -> trunk/cec0ff122815582af5302360aff03676558c5c87 2025-09-07T06:41:58.8738228Z * [new tag] trunk/d11720efdb563d02cf4f7d324311fb15a755268e -> trunk/d11720efdb563d02cf4f7d324311fb15a755268e 2025-09-07T06:41:58.8738596Z * [new tag] trunk/d1706d9128ae24d9048167e80d3fe5196d19035e -> trunk/d1706d9128ae24d9048167e80d3fe5196d19035e 2025-09-07T06:41:58.8739446Z * [new tag] trunk/d1a15abfdcaef138f2d9e93a9f46be44f30b766d -> trunk/d1a15abfdcaef138f2d9e93a9f46be44f30b766d 2025-09-07T06:41:58.8740051Z * [new tag] trunk/d232a95d4a79404ca05c1f52d37fde7339dcdf49 -> trunk/d232a95d4a79404ca05c1f52d37fde7339dcdf49 2025-09-07T06:41:58.8740342Z * [new tag] trunk/d2d4c8e9b2371c9aacfb771d9402ac7427b9778e -> trunk/d2d4c8e9b2371c9aacfb771d9402ac7427b9778e 2025-09-07T06:41:58.8740799Z * [new tag] trunk/d33840c542b387ab08ba49aa6c45aa9567fd9be7 -> trunk/d33840c542b387ab08ba49aa6c45aa9567fd9be7 2025-09-07T06:41:58.8741370Z * [new tag] trunk/d5643e8f3a648a99636bfa1f2a41d54bd3c0d0f1 -> trunk/d5643e8f3a648a99636bfa1f2a41d54bd3c0d0f1 2025-09-07T06:41:58.8741894Z * [new tag] trunk/d5b38410b5b6cf75c7a7389972777a6497926ee7 -> trunk/d5b38410b5b6cf75c7a7389972777a6497926ee7 2025-09-07T06:41:58.8742284Z * [new tag] trunk/d5e0f4202ba14632e4d14862ace096609e763462 -> trunk/d5e0f4202ba14632e4d14862ace096609e763462 2025-09-07T06:41:58.8742897Z * [new tag] trunk/d636c181f9140a7b59be10b36eae23039fc2bb72 -> trunk/d636c181f9140a7b59be10b36eae23039fc2bb72 2025-09-07T06:41:58.8746963Z * [new tag] trunk/d64718503728001a1e78168fd7f2d4ff23e57285 -> trunk/d64718503728001a1e78168fd7f2d4ff23e57285 2025-09-07T06:41:58.8747210Z * [new tag] trunk/d67c29ad22670320d676b02e394274af34e8e643 -> trunk/d67c29ad22670320d676b02e394274af34e8e643 2025-09-07T06:41:58.8747456Z * [new tag] trunk/d6b74568e2c98ce58ecc145b72ac66d4caf7ce95 -> trunk/d6b74568e2c98ce58ecc145b72ac66d4caf7ce95 2025-09-07T06:41:58.8747666Z * [new tag] trunk/d711f27845abd45007ccab6076649ebd896c2661 -> trunk/d711f27845abd45007ccab6076649ebd896c2661 2025-09-07T06:41:58.8747886Z * [new tag] trunk/d9d6dde0f42d4bcc8c97671ac50d5096c7e500ab -> trunk/d9d6dde0f42d4bcc8c97671ac50d5096c7e500ab 2025-09-07T06:41:58.8748096Z * [new tag] trunk/da4db4b33d1fdd046650cf19fdbac581a19bf2f9 -> trunk/da4db4b33d1fdd046650cf19fdbac581a19bf2f9 2025-09-07T06:41:58.8748317Z * [new tag] trunk/dac8a4b91c01c3bbc96f54e621b1ea4ffdbd29d1 -> trunk/dac8a4b91c01c3bbc96f54e621b1ea4ffdbd29d1 2025-09-07T06:41:58.8748701Z * [new tag] trunk/dbec08729fb9848bebed6048c63831b87170d061 -> trunk/dbec08729fb9848bebed6048c63831b87170d061 2025-09-07T06:41:58.8749457Z * [new tag] trunk/dcf385395d838f38c8dca25913578230dd43099a -> trunk/dcf385395d838f38c8dca25913578230dd43099a 2025-09-07T06:41:58.8749742Z * [new tag] trunk/dd2519abe83ec3c40d4797492434e41fe3b47e17 -> trunk/dd2519abe83ec3c40d4797492434e41fe3b47e17 2025-09-07T06:41:58.8750365Z * [new tag] trunk/dec72ea4b006dd0fbcaaaa106ad273d73807ab9d -> trunk/dec72ea4b006dd0fbcaaaa106ad273d73807ab9d 2025-09-07T06:41:58.8750776Z * [new tag] trunk/e0a62b266c021b910ce6dc02a6c9429210487717 -> trunk/e0a62b266c021b910ce6dc02a6c9429210487717 2025-09-07T06:41:58.8751012Z * [new tag] trunk/e19e02c84c9dcc408375e5cae3b0709c18b99228 -> trunk/e19e02c84c9dcc408375e5cae3b0709c18b99228 2025-09-07T06:41:58.8751238Z * [new tag] trunk/e304ea4e69d3a7deeb7e48c7450c214a4c953937 -> trunk/e304ea4e69d3a7deeb7e48c7450c214a4c953937 2025-09-07T06:41:58.8756208Z * [new tag] trunk/e3068cdb446adefb5a875616ba37a60235391439 -> trunk/e3068cdb446adefb5a875616ba37a60235391439 2025-09-07T06:41:58.8758145Z * [new tag] trunk/e381d4b0205d5f126c1de534f867ba776f7c3ee6 -> trunk/e381d4b0205d5f126c1de534f867ba776f7c3ee6 2025-09-07T06:41:58.8758545Z * [new tag] trunk/e4bd0ff4f8981b805df32ea5b3550621965ea4f2 -> trunk/e4bd0ff4f8981b805df32ea5b3550621965ea4f2 2025-09-07T06:41:58.8758900Z * [new tag] trunk/e532c9d4f1cdcbc1ea9628f55b9813e77847bdc7 -> trunk/e532c9d4f1cdcbc1ea9628f55b9813e77847bdc7 2025-09-07T06:41:58.8759209Z * [new tag] trunk/e92cd9415377403b6e90585e764639e2e0b5973b -> trunk/e92cd9415377403b6e90585e764639e2e0b5973b 2025-09-07T06:41:58.8759565Z * [new tag] trunk/e9481b6617b5576b099d8ca5798111592e9ad090 -> trunk/e9481b6617b5576b099d8ca5798111592e9ad090 2025-09-07T06:41:58.8759916Z * [new tag] trunk/ea1883dfd3e42defe37b11202b878bb76defa087 -> trunk/ea1883dfd3e42defe37b11202b878bb76defa087 2025-09-07T06:41:58.8760264Z * [new tag] trunk/eac3d6f04cfbbebe3d470dacd216da7d4b1f95a8 -> trunk/eac3d6f04cfbbebe3d470dacd216da7d4b1f95a8 2025-09-07T06:41:58.8761026Z * [new tag] trunk/eb18d32bda75189494d955aa001ade15f10333de -> trunk/eb18d32bda75189494d955aa001ade15f10333de 2025-09-07T06:41:58.8761300Z * [new tag] trunk/ef3be6726f7ff4b77c22db10cec5b686f9107ea9 -> trunk/ef3be6726f7ff4b77c22db10cec5b686f9107ea9 2025-09-07T06:41:58.8761538Z * [new tag] trunk/ef8aabd42422725026cb4dbf48aafa9efa226a04 -> trunk/ef8aabd42422725026cb4dbf48aafa9efa226a04 2025-09-07T06:41:58.8761766Z * [new tag] trunk/f00445b43eee57e20bb9316fa796ca23bf73373b -> trunk/f00445b43eee57e20bb9316fa796ca23bf73373b 2025-09-07T06:41:58.8761979Z * [new tag] trunk/f0c391102b754e3b145e8c59231d2df563487e37 -> trunk/f0c391102b754e3b145e8c59231d2df563487e37 2025-09-07T06:41:58.8762187Z * [new tag] trunk/f27985b7e796fb66a1b476284ba42d8cb360a751 -> trunk/f27985b7e796fb66a1b476284ba42d8cb360a751 2025-09-07T06:41:58.8762398Z * [new tag] trunk/f36f285953700f971552083a5da9d0ceacb63bbd -> trunk/f36f285953700f971552083a5da9d0ceacb63bbd 2025-09-07T06:41:58.8762617Z * [new tag] trunk/f3cebec39ebc110e1c8b06e741896585f7892dbb -> trunk/f3cebec39ebc110e1c8b06e741896585f7892dbb 2025-09-07T06:41:58.8762849Z * [new tag] trunk/f4c33cd44acac92c0b451a04da20ebe9370e5b0c -> trunk/f4c33cd44acac92c0b451a04da20ebe9370e5b0c 2025-09-07T06:41:58.8763054Z * [new tag] trunk/f612045ce105f008b2b675e2fc870163babeb2e8 -> trunk/f612045ce105f008b2b675e2fc870163babeb2e8 2025-09-07T06:41:58.8763268Z * [new tag] trunk/f8746b878dfc1e9639d42cbde832e9b9e792c86c -> trunk/f8746b878dfc1e9639d42cbde832e9b9e792c86c 2025-09-07T06:41:58.8763488Z * [new tag] trunk/f8ffa9194e26523e5f976d4a824d5cc58922727c -> trunk/f8ffa9194e26523e5f976d4a824d5cc58922727c 2025-09-07T06:41:58.8763702Z * [new tag] trunk/f981a7fa5230b98974291fdde32fe8488bc5d469 -> trunk/f981a7fa5230b98974291fdde32fe8488bc5d469 2025-09-07T06:41:58.8763921Z * [new tag] trunk/fbf3d2027daabbcb44d0af274b139be2a248a4f7 -> trunk/fbf3d2027daabbcb44d0af274b139be2a248a4f7 2025-09-07T06:41:58.8764274Z * [new tag] trunk/fca2601c9d628e1bd2d75c7318cd22c4e8c832aa -> trunk/fca2601c9d628e1bd2d75c7318cd22c4e8c832aa 2025-09-07T06:41:58.8764500Z * [new tag] trunk/fea20775ad96bdca972a1811d7d3372f368614ab -> trunk/fea20775ad96bdca972a1811d7d3372f368614ab 2025-09-07T06:41:58.8764943Z * [new tag] trunk/fefee081642f87419a21dc852f7167d4640443cd -> trunk/fefee081642f87419a21dc852f7167d4640443cd 2025-09-07T06:41:58.8765529Z * [new tag] v0.1.1 -> v0.1.1 2025-09-07T06:41:58.8766823Z * [new tag] v0.1.10 -> v0.1.10 2025-09-07T06:41:58.8767046Z * [new tag] v0.1.11 -> v0.1.11 2025-09-07T06:41:58.8767269Z * [new tag] v0.1.12 -> v0.1.12 2025-09-07T06:41:58.8769363Z * [new tag] v0.1.2 -> v0.1.2 2025-09-07T06:41:58.8769509Z * [new tag] v0.1.3 -> v0.1.3 2025-09-07T06:41:58.8769598Z * [new tag] v0.1.4 -> v0.1.4 2025-09-07T06:41:58.8769692Z * [new tag] v0.1.5 -> v0.1.5 2025-09-07T06:41:58.8770006Z * [new tag] v0.1.6 -> v0.1.6 2025-09-07T06:41:58.8774915Z * [new tag] v0.1.7 -> v0.1.7 2025-09-07T06:41:58.8776874Z * [new tag] v0.1.8 -> v0.1.8 2025-09-07T06:41:58.8777238Z * [new tag] v0.1.9 -> v0.1.9 2025-09-07T06:41:58.8780222Z * [new tag] v0.2.0 -> v0.2.0 2025-09-07T06:41:58.8780449Z * [new tag] v0.3.0 -> v0.3.0 2025-09-07T06:41:58.8784936Z * [new tag] v0.3.1 -> v0.3.1 2025-09-07T06:41:58.8786960Z * [new tag] v0.4.0 -> v0.4.0 2025-09-07T06:41:58.8787215Z * [new tag] v0.4.1 -> v0.4.1 2025-09-07T06:41:58.8790442Z * [new tag] v1.0.0 -> v1.0.0 2025-09-07T06:41:58.8790591Z * [new tag] v1.0.0a0 -> v1.0.0a0 2025-09-07T06:41:58.8790698Z * [new tag] v1.0.1 -> v1.0.1 2025-09-07T06:41:58.8790795Z * [new tag] v1.0rc0 -> v1.0rc0 2025-09-07T06:41:58.8790891Z * [new tag] v1.0rc1 -> v1.0rc1 2025-09-07T06:41:58.8790995Z * [new tag] v1.1.0 -> v1.1.0 2025-09-07T06:41:58.8791099Z * [new tag] v1.1.0a0 -> v1.1.0a0 2025-09-07T06:41:58.8791185Z * [new tag] v1.10.0 -> v1.10.0 2025-09-07T06:41:58.8791285Z * [new tag] v1.10.0-rc1 -> v1.10.0-rc1 2025-09-07T06:41:58.8791383Z * [new tag] v1.10.0-rc2 -> v1.10.0-rc2 2025-09-07T06:41:58.8791488Z * [new tag] v1.10.0-rc3 -> v1.10.0-rc3 2025-09-07T06:41:58.8791578Z * [new tag] v1.10.1 -> v1.10.1 2025-09-07T06:41:58.8791667Z * [new tag] v1.10.1-rc1 -> v1.10.1-rc1 2025-09-07T06:41:58.8791751Z * [new tag] v1.10.2 -> v1.10.2 2025-09-07T06:41:58.8791847Z * [new tag] v1.10.2-rc1 -> v1.10.2-rc1 2025-09-07T06:41:58.8791934Z * [new tag] v1.11.0 -> v1.11.0 2025-09-07T06:41:58.8792029Z * [new tag] v1.11.0-rc1 -> v1.11.0-rc1 2025-09-07T06:41:58.8792117Z * [new tag] v1.11.0-rc2 -> v1.11.0-rc2 2025-09-07T06:41:58.8792203Z * [new tag] v1.11.0-rc3 -> v1.11.0-rc3 2025-09-07T06:41:58.8792296Z * [new tag] v1.11.0-rc4 -> v1.11.0-rc4 2025-09-07T06:41:58.8792523Z * [new tag] v1.11.0-rc5 -> v1.11.0-rc5 2025-09-07T06:41:58.8792621Z * [new tag] v1.11.0-rc6 -> v1.11.0-rc6 2025-09-07T06:41:58.8792710Z * [new tag] v1.11.0-rc7 -> v1.11.0-rc7 2025-09-07T06:41:58.8792805Z * [new tag] v1.12.0 -> v1.12.0 2025-09-07T06:41:58.8792893Z * [new tag] v1.12.0-rc1 -> v1.12.0-rc1 2025-09-07T06:41:58.8792981Z * [new tag] v1.12.0-rc2 -> v1.12.0-rc2 2025-09-07T06:41:58.8793081Z * [new tag] v1.12.0-rc3 -> v1.12.0-rc3 2025-09-07T06:41:58.8793172Z * [new tag] v1.12.0-rc4 -> v1.12.0-rc4 2025-09-07T06:41:58.8793268Z * [new tag] v1.12.0-rc5 -> v1.12.0-rc5 2025-09-07T06:41:58.8793354Z * [new tag] v1.12.0-rc6 -> v1.12.0-rc6 2025-09-07T06:41:58.8793447Z * [new tag] v1.12.0-rc7 -> v1.12.0-rc7 2025-09-07T06:41:58.8793544Z * [new tag] v1.12.0-rc8 -> v1.12.0-rc8 2025-09-07T06:41:58.8793630Z * [new tag] v1.12.1 -> v1.12.1 2025-09-07T06:41:58.8793727Z * [new tag] v1.12.1-rc1 -> v1.12.1-rc1 2025-09-07T06:41:58.8793816Z * [new tag] v1.12.1-rc2 -> v1.12.1-rc2 2025-09-07T06:41:58.8793904Z * [new tag] v1.12.1-rc3 -> v1.12.1-rc3 2025-09-07T06:41:58.8794052Z * [new tag] v1.12.1-rc4 -> v1.12.1-rc4 2025-09-07T06:41:58.8799451Z * [new tag] v1.12.1-rc5 -> v1.12.1-rc5 2025-09-07T06:41:58.8799723Z * [new tag] v1.13.0 -> v1.13.0 2025-09-07T06:41:58.8799849Z * [new tag] v1.13.0-rc1 -> v1.13.0-rc1 2025-09-07T06:41:58.8799964Z * [new tag] v1.13.0-rc2 -> v1.13.0-rc2 2025-09-07T06:41:58.8800195Z * [new tag] v1.13.0-rc3 -> v1.13.0-rc3 2025-09-07T06:41:58.8800303Z * [new tag] v1.13.0-rc4 -> v1.13.0-rc4 2025-09-07T06:41:58.8800474Z * [new tag] v1.13.0-rc5 -> v1.13.0-rc5 2025-09-07T06:41:58.8800637Z * [new tag] v1.13.0-rc6 -> v1.13.0-rc6 2025-09-07T06:41:58.8801257Z * [new tag] v1.13.1 -> v1.13.1 2025-09-07T06:41:58.8801415Z * [new tag] v1.13.1-rc1 -> v1.13.1-rc1 2025-09-07T06:41:58.8801535Z * [new tag] v1.2.0 -> v1.2.0 2025-09-07T06:41:58.8801639Z * [new tag] v1.2.0a0 -> v1.2.0a0 2025-09-07T06:41:58.8801745Z * [new tag] v1.3.0 -> v1.3.0 2025-09-07T06:41:58.8801840Z * [new tag] v1.3.0a0 -> v1.3.0a0 2025-09-07T06:41:58.8801948Z * [new tag] v1.3.1 -> v1.3.1 2025-09-07T06:41:58.8802035Z * [new tag] v1.4.0 -> v1.4.0 2025-09-07T06:41:58.8802138Z * [new tag] v1.4.0a0 -> v1.4.0a0 2025-09-07T06:41:58.8802228Z * [new tag] v1.4.1 -> v1.4.1 2025-09-07T06:41:58.8802315Z * [new tag] v1.5.0 -> v1.5.0 2025-09-07T06:41:58.8802427Z * [new tag] v1.5.0-rc1 -> v1.5.0-rc1 2025-09-07T06:41:58.8802524Z * [new tag] v1.5.0-rc2 -> v1.5.0-rc2 2025-09-07T06:41:58.8802626Z * [new tag] v1.5.0-rc3 -> v1.5.0-rc3 2025-09-07T06:41:58.8802720Z * [new tag] v1.5.0-rc4 -> v1.5.0-rc4 2025-09-07T06:41:58.8802822Z * [new tag] v1.5.0-rc5 -> v1.5.0-rc5 2025-09-07T06:41:58.8803048Z * [new tag] v1.5.1 -> v1.5.1 2025-09-07T06:41:58.8803144Z * [new tag] v1.5.1-rc1 -> v1.5.1-rc1 2025-09-07T06:41:58.8803243Z * [new tag] v1.6.0 -> v1.6.0 2025-09-07T06:41:58.8803336Z * [new tag] v1.6.0-rc1 -> v1.6.0-rc1 2025-09-07T06:41:58.8803425Z * [new tag] v1.6.0-rc2 -> v1.6.0-rc2 2025-09-07T06:41:58.8803947Z * [new tag] v1.6.0-rc3 -> v1.6.0-rc3 2025-09-07T06:41:58.8804369Z * [new tag] v1.6.0-rc4 -> v1.6.0-rc4 2025-09-07T06:41:58.8805089Z * [new tag] v1.6.0-rc5 -> v1.6.0-rc5 2025-09-07T06:41:58.8805576Z * [new tag] v1.6.0-rc6 -> v1.6.0-rc6 2025-09-07T06:41:58.8805919Z * [new tag] v1.6.0-rc7 -> v1.6.0-rc7 2025-09-07T06:41:58.8807231Z * [new tag] v1.7.0 -> v1.7.0 2025-09-07T06:41:58.8807336Z * [new tag] v1.7.0-rc1 -> v1.7.0-rc1 2025-09-07T06:41:58.8808161Z * [new tag] v1.7.0-rc2 -> v1.7.0-rc2 2025-09-07T06:41:58.8808520Z * [new tag] v1.7.0-rc3 -> v1.7.0-rc3 2025-09-07T06:41:58.8808832Z * [new tag] v1.7.0-rc4 -> v1.7.0-rc4 2025-09-07T06:41:58.8811981Z * [new tag] v1.7.1 -> v1.7.1 2025-09-07T06:41:58.8812260Z * [new tag] v1.7.1-rc1 -> v1.7.1-rc1 2025-09-07T06:41:58.8812362Z * [new tag] v1.7.1-rc2 -> v1.7.1-rc2 2025-09-07T06:41:58.8812463Z * [new tag] v1.7.1-rc3 -> v1.7.1-rc3 2025-09-07T06:41:58.8812558Z * [new tag] v1.8.0 -> v1.8.0 2025-09-07T06:41:58.8812660Z * [new tag] v1.8.0-rc1 -> v1.8.0-rc1 2025-09-07T06:41:58.8812929Z * [new tag] v1.8.0-rc2 -> v1.8.0-rc2 2025-09-07T06:41:58.8813047Z * [new tag] v1.8.0-rc3 -> v1.8.0-rc3 2025-09-07T06:41:58.8816158Z * [new tag] v1.8.0-rc4 -> v1.8.0-rc4 2025-09-07T06:41:58.8816455Z * [new tag] v1.8.0-rc5 -> v1.8.0-rc5 2025-09-07T06:41:58.8816591Z * [new tag] v1.8.1 -> v1.8.1 2025-09-07T06:41:58.8816705Z * [new tag] v1.8.1-rc1 -> v1.8.1-rc1 2025-09-07T06:41:58.8816935Z * [new tag] v1.8.1-rc2 -> v1.8.1-rc2 2025-09-07T06:41:58.8817043Z * [new tag] v1.8.1-rc3 -> v1.8.1-rc3 2025-09-07T06:41:58.8817179Z * [new tag] v1.8.2 -> v1.8.2 2025-09-07T06:41:58.8817287Z * [new tag] v1.8.2-rc1 -> v1.8.2-rc1 2025-09-07T06:41:58.8818119Z * [new tag] v1.9.0 -> v1.9.0 2025-09-07T06:41:58.8818242Z * [new tag] v1.9.0-rc1 -> v1.9.0-rc1 2025-09-07T06:41:58.8820903Z * [new tag] v1.9.0-rc2 -> v1.9.0-rc2 2025-09-07T06:41:58.8821199Z * [new tag] v1.9.0-rc3 -> v1.9.0-rc3 2025-09-07T06:41:58.8821316Z * [new tag] v1.9.0-rc4 -> v1.9.0-rc4 2025-09-07T06:41:58.8821417Z * [new tag] v1.9.1 -> v1.9.1 2025-09-07T06:41:58.8821656Z * [new tag] v1.9.1-rc1 -> v1.9.1-rc1 2025-09-07T06:41:58.8821762Z * [new tag] v1.9.1-rc2 -> v1.9.1-rc2 2025-09-07T06:41:58.8822644Z * [new tag] v2.0.0 -> v2.0.0 2025-09-07T06:41:58.8822753Z * [new tag] v2.0.0-rc1 -> v2.0.0-rc1 2025-09-07T06:41:58.8825660Z * [new tag] v2.0.0-rc2 -> v2.0.0-rc2 2025-09-07T06:41:58.8825948Z * [new tag] v2.0.0-rc3 -> v2.0.0-rc3 2025-09-07T06:41:58.8826061Z * [new tag] v2.0.0-rc4 -> v2.0.0-rc4 2025-09-07T06:41:58.8826234Z * [new tag] v2.0.0-rc5 -> v2.0.0-rc5 2025-09-07T06:41:58.8826361Z * [new tag] v2.0.0-rc6 -> v2.0.0-rc6 2025-09-07T06:41:58.8826481Z * [new tag] v2.0.1 -> v2.0.1 2025-09-07T06:41:58.8826817Z * [new tag] v2.0.1-rc1 -> v2.0.1-rc1 2025-09-07T06:41:58.8827521Z * [new tag] v2.0.1-rc2 -> v2.0.1-rc2 2025-09-07T06:41:58.8827750Z * [new tag] v2.0.1-rc3 -> v2.0.1-rc3 2025-09-07T06:41:58.8828444Z * [new tag] v2.0.1-rc4 -> v2.0.1-rc4 2025-09-07T06:41:58.8831569Z * [new tag] v2.1.0 -> v2.1.0 2025-09-07T06:41:58.8831822Z * [new tag] v2.1.0-rc1 -> v2.1.0-rc1 2025-09-07T06:41:58.8836239Z * [new tag] v2.1.0-rc2 -> v2.1.0-rc2 2025-09-07T06:41:58.8836805Z * [new tag] v2.1.0-rc3 -> v2.1.0-rc3 2025-09-07T06:41:58.8839451Z * [new tag] v2.1.0-rc4 -> v2.1.0-rc4 2025-09-07T06:41:58.8839722Z * [new tag] v2.1.0-rc5 -> v2.1.0-rc5 2025-09-07T06:41:58.8840026Z * [new tag] v2.1.0-rc6 -> v2.1.0-rc6 2025-09-07T06:41:58.8840287Z * [new tag] v2.1.1 -> v2.1.1 2025-09-07T06:41:58.8840423Z * [new tag] v2.1.1-rc1 -> v2.1.1-rc1 2025-09-07T06:41:58.8840527Z * [new tag] v2.1.1-rc2 -> v2.1.1-rc2 2025-09-07T06:41:58.8840623Z * [new tag] v2.1.1-rc3 -> v2.1.1-rc3 2025-09-07T06:41:58.8840738Z * [new tag] v2.1.1-rc4 -> v2.1.1-rc4 2025-09-07T06:41:58.8840981Z * [new tag] v2.1.1-rc5 -> v2.1.1-rc5 2025-09-07T06:41:58.8841626Z * [new tag] v2.1.1-rc6 -> v2.1.1-rc6 2025-09-07T06:41:58.8841756Z * [new tag] v2.1.2 -> v2.1.2 2025-09-07T06:41:58.8841927Z * [new tag] v2.1.2-rc1 -> v2.1.2-rc1 2025-09-07T06:41:58.8842025Z * [new tag] v2.1.2-rc2 -> v2.1.2-rc2 2025-09-07T06:41:58.8842156Z * [new tag] v2.1.2-rc3 -> v2.1.2-rc3 2025-09-07T06:41:58.8842253Z * [new tag] v2.2.0 -> v2.2.0 2025-09-07T06:41:58.8842357Z * [new tag] v2.2.0-rc1 -> v2.2.0-rc1 2025-09-07T06:41:58.8842452Z * [new tag] v2.2.0-rc2 -> v2.2.0-rc2 2025-09-07T06:41:58.8842562Z * [new tag] v2.2.0-rc3 -> v2.2.0-rc3 2025-09-07T06:41:58.8842664Z * [new tag] v2.2.0-rc4 -> v2.2.0-rc4 2025-09-07T06:41:58.8843217Z * [new tag] v2.2.0-rc5 -> v2.2.0-rc5 2025-09-07T06:41:58.8843352Z * [new tag] v2.2.0-rc6 -> v2.2.0-rc6 2025-09-07T06:41:58.8843823Z * [new tag] v2.2.0-rc7 -> v2.2.0-rc7 2025-09-07T06:41:58.8844123Z * [new tag] v2.2.0-rc8 -> v2.2.0-rc8 2025-09-07T06:41:58.8845101Z * [new tag] v2.2.1 -> v2.2.1 2025-09-07T06:41:58.8845485Z * [new tag] v2.2.1-rc1 -> v2.2.1-rc1 2025-09-07T06:41:58.8845971Z * [new tag] v2.2.1-rc2 -> v2.2.1-rc2 2025-09-07T06:41:58.8846363Z * [new tag] v2.2.1-rc3 -> v2.2.1-rc3 2025-09-07T06:41:58.8849636Z * [new tag] v2.2.2 -> v2.2.2 2025-09-07T06:41:58.8849958Z * [new tag] v2.2.2-rc1 -> v2.2.2-rc1 2025-09-07T06:41:58.8850063Z * [new tag] v2.2.2-rc2 -> v2.2.2-rc2 2025-09-07T06:41:58.8850160Z * [new tag] v2.2.2-rc3 -> v2.2.2-rc3 2025-09-07T06:41:58.8850270Z * [new tag] v2.3.0 -> v2.3.0 2025-09-07T06:41:58.8850367Z * [new tag] v2.3.0-rc1 -> v2.3.0-rc1 2025-09-07T06:41:58.8850493Z * [new tag] v2.3.0-rc10 -> v2.3.0-rc10 2025-09-07T06:41:58.8855609Z * [new tag] v2.3.0-rc11 -> v2.3.0-rc11 2025-09-07T06:41:58.8860626Z * [new tag] v2.3.0-rc12 -> v2.3.0-rc12 2025-09-07T06:41:58.8865944Z * [new tag] v2.3.0-rc2 -> v2.3.0-rc2 2025-09-07T06:41:58.8870233Z * [new tag] v2.3.0-rc3 -> v2.3.0-rc3 2025-09-07T06:41:58.8874940Z * [new tag] v2.3.0-rc4 -> v2.3.0-rc4 2025-09-07T06:41:58.8879862Z * [new tag] v2.3.0-rc5 -> v2.3.0-rc5 2025-09-07T06:41:58.8881723Z * [new tag] v2.3.0-rc6 -> v2.3.0-rc6 2025-09-07T06:41:58.8881852Z * [new tag] v2.3.0-rc7 -> v2.3.0-rc7 2025-09-07T06:41:58.8881950Z * [new tag] v2.3.0-rc8 -> v2.3.0-rc8 2025-09-07T06:41:58.8882038Z * [new tag] v2.3.0-rc9 -> v2.3.0-rc9 2025-09-07T06:41:58.8882278Z * [new tag] v2.3.1 -> v2.3.1 2025-09-07T06:41:58.8882379Z * [new tag] v2.3.1-rc1 -> v2.3.1-rc1 2025-09-07T06:41:58.8882471Z * [new tag] v2.3.1-rc2 -> v2.3.1-rc2 2025-09-07T06:41:58.8882571Z * [new tag] v2.3.1-rc3 -> v2.3.1-rc3 2025-09-07T06:41:58.8882669Z * [new tag] v2.4.0 -> v2.4.0 2025-09-07T06:41:58.8882769Z * [new tag] v2.4.0-rc1 -> v2.4.0-rc1 2025-09-07T06:41:58.8882861Z * [new tag] v2.4.0-rc2 -> v2.4.0-rc2 2025-09-07T06:41:58.8882958Z * [new tag] v2.4.0-rc3 -> v2.4.0-rc3 2025-09-07T06:41:58.8883064Z * [new tag] v2.4.0-rc4 -> v2.4.0-rc4 2025-09-07T06:41:58.8883160Z * [new tag] v2.4.0-rc5 -> v2.4.0-rc5 2025-09-07T06:41:58.8883267Z * [new tag] v2.4.0-rc6 -> v2.4.0-rc6 2025-09-07T06:41:58.8883362Z * [new tag] v2.4.0-rc7 -> v2.4.0-rc7 2025-09-07T06:41:58.8883457Z * [new tag] v2.4.0-rc8 -> v2.4.0-rc8 2025-09-07T06:41:58.8883559Z * [new tag] v2.4.0-rc9 -> v2.4.0-rc9 2025-09-07T06:41:58.8883654Z * [new tag] v2.4.1 -> v2.4.1 2025-09-07T06:41:58.8883753Z * [new tag] v2.4.1-rc1 -> v2.4.1-rc1 2025-09-07T06:41:58.8883844Z * [new tag] v2.4.1-rc2 -> v2.4.1-rc2 2025-09-07T06:41:58.8883943Z * [new tag] v2.4.1-rc3 -> v2.4.1-rc3 2025-09-07T06:41:58.8884034Z * [new tag] v2.5.0 -> v2.5.0 2025-09-07T06:41:58.8884125Z * [new tag] v2.5.0-rc1 -> v2.5.0-rc1 2025-09-07T06:41:58.8884237Z * [new tag] v2.5.0-rc10 -> v2.5.0-rc10 2025-09-07T06:41:58.8884329Z * [new tag] v2.5.0-rc2 -> v2.5.0-rc2 2025-09-07T06:41:58.8884431Z * [new tag] v2.5.0-rc3 -> v2.5.0-rc3 2025-09-07T06:41:58.8884529Z * [new tag] v2.5.0-rc4 -> v2.5.0-rc4 2025-09-07T06:41:58.8884653Z * [new tag] v2.5.0-rc5 -> v2.5.0-rc5 2025-09-07T06:41:58.8884800Z * [new tag] v2.5.0-rc6 -> v2.5.0-rc6 2025-09-07T06:41:58.8884900Z * [new tag] v2.5.0-rc7 -> v2.5.0-rc7 2025-09-07T06:41:58.8885016Z * [new tag] v2.5.0-rc8 -> v2.5.0-rc8 2025-09-07T06:41:58.8885110Z * [new tag] v2.5.0-rc9 -> v2.5.0-rc9 2025-09-07T06:41:58.8885359Z * [new tag] v2.5.1 -> v2.5.1 2025-09-07T06:41:58.8885470Z * [new tag] v2.5.1-rc1 -> v2.5.1-rc1 2025-09-07T06:41:58.8885562Z * [new tag] v2.6.0 -> v2.6.0 2025-09-07T06:41:58.8885662Z * [new tag] v2.6.0-rc1 -> v2.6.0-rc1 2025-09-07T06:41:58.8885753Z * [new tag] v2.6.0-rc2 -> v2.6.0-rc2 2025-09-07T06:41:58.8885849Z * [new tag] v2.6.0-rc3 -> v2.6.0-rc3 2025-09-07T06:41:58.8885943Z * [new tag] v2.6.0-rc4 -> v2.6.0-rc4 2025-09-07T06:41:58.8886039Z * [new tag] v2.6.0-rc5 -> v2.6.0-rc5 2025-09-07T06:41:58.8886129Z * [new tag] v2.6.0-rc6 -> v2.6.0-rc6 2025-09-07T06:41:58.8886219Z * [new tag] v2.6.0-rc7 -> v2.6.0-rc7 2025-09-07T06:41:58.8886316Z * [new tag] v2.6.0-rc8 -> v2.6.0-rc8 2025-09-07T06:41:58.8886417Z * [new tag] v2.6.0-rc9 -> v2.6.0-rc9 2025-09-07T06:41:58.8886546Z * [new tag] v2.7.0 -> v2.7.0 2025-09-07T06:41:58.8886637Z * [new tag] v2.7.0-rc1 -> v2.7.0-rc1 2025-09-07T06:41:58.8886734Z * [new tag] v2.7.0-rc10 -> v2.7.0-rc10 2025-09-07T06:41:58.8886832Z * [new tag] v2.7.0-rc2 -> v2.7.0-rc2 2025-09-07T06:41:58.8886928Z * [new tag] v2.7.0-rc3 -> v2.7.0-rc3 2025-09-07T06:41:58.8887022Z * [new tag] v2.7.0-rc4 -> v2.7.0-rc4 2025-09-07T06:41:58.8887112Z * [new tag] v2.7.0-rc5 -> v2.7.0-rc5 2025-09-07T06:41:58.8887199Z * [new tag] v2.7.0-rc6 -> v2.7.0-rc6 2025-09-07T06:41:58.8887293Z * [new tag] v2.7.0-rc7 -> v2.7.0-rc7 2025-09-07T06:41:58.8887382Z * [new tag] v2.7.0-rc8 -> v2.7.0-rc8 2025-09-07T06:41:58.8887481Z * [new tag] v2.7.0-rc9 -> v2.7.0-rc9 2025-09-07T06:41:58.8887571Z * [new tag] v2.7.1 -> v2.7.1 2025-09-07T06:41:58.8887668Z * [new tag] v2.7.1-rc1 -> v2.7.1-rc1 2025-09-07T06:41:58.8887761Z * [new tag] v2.7.1-rc2 -> v2.7.1-rc2 2025-09-07T06:41:58.8887852Z * [new tag] v2.7.1-rc3 -> v2.7.1-rc3 2025-09-07T06:41:58.8887952Z * [new tag] v2.7.1-rc4 -> v2.7.1-rc4 2025-09-07T06:41:58.8888046Z * [new tag] v2.7.1-rc5 -> v2.7.1-rc5 2025-09-07T06:41:58.8893071Z * [new tag] v2.8.0 -> v2.8.0 2025-09-07T06:41:58.8895545Z * [new tag] v2.8.0-rc1 -> v2.8.0-rc1 2025-09-07T06:41:58.8901672Z * [new tag] v2.8.0-rc2 -> v2.8.0-rc2 2025-09-07T06:41:58.8903744Z * [new tag] v2.8.0-rc3 -> v2.8.0-rc3 2025-09-07T06:41:58.8904008Z * [new tag] v2.8.0-rc4 -> v2.8.0-rc4 2025-09-07T06:41:58.8909954Z * [new tag] v2.8.0-rc5 -> v2.8.0-rc5 2025-09-07T06:41:58.8912047Z * [new tag] v2.8.0-rc6 -> v2.8.0-rc6 2025-09-07T06:41:58.8912289Z * [new tag] v2.8.0-rc7 -> v2.8.0-rc7 2025-09-07T06:41:58.8915750Z * [new tag] v2.8.0-rc8 -> v2.8.0-rc8 2025-09-07T06:41:58.8920871Z * [new tag] whc_flight_1 -> whc_flight_1 2025-09-07T06:41:58.8921158Z * [new tag] whc_flight_2 -> whc_flight_2 2025-09-07T06:41:58.8921272Z * [new tag] whc_flight_4 -> whc_flight_4 2025-09-07T06:41:58.9340963Z [command]/usr/bin/git rev-parse --verify --quiet 93fb23d6fae7c4e82c4239a1033e522088742634^{object} 2025-09-07T06:41:58.9369048Z 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T06:41:58.9381035Z ##[endgroup] 2025-09-07T06:41:58.9381375Z ##[group]Determining the checkout info 2025-09-07T06:41:58.9381688Z ##[endgroup] 2025-09-07T06:41:58.9381877Z [command]/usr/bin/git sparse-checkout disable 2025-09-07T06:41:58.9426676Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-09-07T06:41:58.9454896Z ##[group]Checking out the ref 2025-09-07T06:41:58.9459154Z [command]/usr/bin/git checkout --progress --force 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T06:41:59.9196031Z Note: switching to '93fb23d6fae7c4e82c4239a1033e522088742634'. 2025-09-07T06:41:59.9196482Z 2025-09-07T06:41:59.9196703Z You are in 'detached HEAD' state. You can look around, make experimental 2025-09-07T06:41:59.9197043Z changes and commit them, and you can discard any commits you make in this 2025-09-07T06:41:59.9197364Z state without impacting any branches by switching back to a branch. 2025-09-07T06:41:59.9197552Z 2025-09-07T06:41:59.9197973Z If you want to create a new branch to retain commits you create, you may 2025-09-07T06:41:59.9198300Z do so (now or later) by using -c with the switch command. Example: 2025-09-07T06:41:59.9198467Z 2025-09-07T06:41:59.9198562Z git switch -c 2025-09-07T06:41:59.9198686Z 2025-09-07T06:41:59.9198771Z Or undo this operation with: 2025-09-07T06:41:59.9198885Z 2025-09-07T06:41:59.9198949Z git switch - 2025-09-07T06:41:59.9199065Z 2025-09-07T06:41:59.9199211Z Turn off this advice by setting config variable advice.detachedHead to false 2025-09-07T06:41:59.9199415Z 2025-09-07T06:41:59.9199529Z HEAD is now at 93fb23d6fae Build vLLM nightly wheels (#162000) 2025-09-07T06:41:59.9253806Z ##[endgroup] 2025-09-07T06:41:59.9255699Z ##[group]Setting up auth for fetching submodules 2025-09-07T06:41:59.9256267Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-09-07T06:41:59.9335586Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-09-07T06:41:59.9374148Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-09-07T06:41:59.9409793Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-09-07T06:41:59.9436485Z ##[endgroup] 2025-09-07T06:41:59.9439958Z ##[group]Fetching submodules 2025-09-07T06:41:59.9440400Z [command]/usr/bin/git submodule sync --recursive 2025-09-07T06:41:59.9761095Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2025-09-07T06:42:00.0488232Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni' 2025-09-07T06:42:00.0491017Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16' 2025-09-07T06:42:00.0491674Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv' 2025-09-07T06:42:00.0494980Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK' 2025-09-07T06:42:00.0495559Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX' 2025-09-07T06:42:00.0512436Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator' 2025-09-07T06:42:00.0513391Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK' 2025-09-07T06:42:00.0519861Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter' 2025-09-07T06:42:00.0520568Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark' 2025-09-07T06:42:00.0521774Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel' 2025-09-07T06:42:00.0522442Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib' 2025-09-07T06:42:00.0544890Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo' 2025-09-07T06:42:00.0549129Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend' 2025-09-07T06:42:00.0553787Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass' 2025-09-07T06:42:00.0558052Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm' 2025-09-07T06:42:00.0558634Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention' 2025-09-07T06:42:00.0574130Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers' 2025-09-07T06:42:00.0579398Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt' 2025-09-07T06:42:00.0579990Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp' 2025-09-07T06:42:00.0580558Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo' 2025-09-07T06:42:00.0581083Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' 2025-09-07T06:42:00.0586510Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep' 2025-09-07T06:42:00.0602003Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi' 2025-09-07T06:42:00.0604402Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto' 2025-09-07T06:42:00.0607307Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai' 2025-09-07T06:42:00.0610033Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc' 2025-09-07T06:42:00.0613663Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann' 2025-09-07T06:42:00.0635290Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx' 2025-09-07T06:42:00.0637899Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp' 2025-09-07T06:42:00.0638730Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft' 2025-09-07T06:42:00.0640428Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf' 2025-09-07T06:42:00.0643093Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd' 2025-09-07T06:42:00.0645920Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool' 2025-09-07T06:42:00.0674070Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' 2025-09-07T06:42:00.0674818Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy' 2025-09-07T06:42:00.0679965Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef' 2025-09-07T06:42:00.0680710Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe' 2025-09-07T06:42:00.0715309Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'... 2025-09-07T06:42:00.2859646Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'... 2025-09-07T06:42:00.2860482Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'... 2025-09-07T06:42:00.2861227Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/psimd'... 2025-09-07T06:42:00.2887567Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pybind11'... 2025-09-07T06:42:01.3778673Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pocketfft'... 2025-09-07T06:42:01.3780022Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'... 2025-09-07T06:42:01.3781083Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep'... 2025-09-07T06:42:01.3783525Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'... 2025-09-07T06:42:01.3784651Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pthreadpool'... 2025-09-07T06:42:01.3785556Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gloo'... 2025-09-07T06:42:01.3786418Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NVTX'... 2025-09-07T06:42:01.3787890Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'... 2025-09-07T06:42:01.3788912Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/python-peachpy'... 2025-09-07T06:42:01.3789693Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ittapi'... 2025-09-07T06:42:01.3790422Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kleidiai'... 2025-09-07T06:42:01.3791187Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention'... 2025-09-07T06:42:01.3791970Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpp-httplib'... 2025-09-07T06:42:01.3792641Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'... 2025-09-07T06:42:01.3793102Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe'... 2025-09-07T06:42:01.3793555Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/mimalloc'... 2025-09-07T06:42:01.3794063Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/googletest'... 2025-09-07T06:42:01.3794760Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/sleef'... 2025-09-07T06:42:01.4046974Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'... 2025-09-07T06:42:01.6144286Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fmt'... 2025-09-07T06:42:01.6145688Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto'... 2025-09-07T06:42:01.6146733Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'... 2025-09-07T06:42:01.7145738Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'... 2025-09-07T06:42:13.2723405Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flatbuffers'... 2025-09-07T06:42:13.2724191Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm'... 2025-09-07T06:42:13.2724609Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cutlass'... 2025-09-07T06:42:13.2725015Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx'... 2025-09-07T06:42:13.2725624Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/composable_kernel'... 2025-09-07T06:42:13.2726054Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter'... 2025-09-07T06:42:13.2726582Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp'... 2025-09-07T06:42:13.2727017Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nlohmann'... 2025-09-07T06:42:13.2727407Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf'... 2025-09-07T06:42:13.2858991Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2025-09-07T06:42:13.2962048Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-09-07T06:42:13.3047888Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-09-07T06:42:13.3245638Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2025-09-07T06:42:13.3889849Z Submodule path 'third_party/NVTX': checked out '2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07' 2025-09-07T06:42:13.4350718Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1' 2025-09-07T06:42:13.9560696Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883' 2025-09-07T06:42:14.0793135Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150' 2025-09-07T06:42:14.0811007Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T06:42:14.0836794Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'... 2025-09-07T06:42:17.8622483Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf' 2025-09-07T06:42:17.8815377Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f' 2025-09-07T06:42:18.1238590Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-09-07T06:42:18.1618757Z Submodule path 'third_party/cpp-httplib': checked out '89c932f313c6437c38f2982869beacc89c2f2246' 2025-09-07T06:42:18.2445891Z Submodule path 'third_party/cpuinfo': checked out '5e3d2445e6a84d9599bee2bf78edbb4d80865e1d' 2025-09-07T06:42:18.2816871Z Submodule path 'third_party/cudnn_frontend': checked out 'f937055efc6d414d11f4c6577e3977fe74f35fb6' 2025-09-07T06:42:18.7713600Z Submodule path 'third_party/cutlass': checked out 'e51efbfe18fe4f4cbb66ab814c55bf4aa0185491' 2025-09-07T06:42:18.8827676Z Submodule path 'third_party/fbgemm': checked out '4b39c551efe15e6bbade20565b0ceb2d8ce3352d' 2025-09-07T06:42:18.8847433Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit' 2025-09-07T06:42:18.8848184Z Submodule 'external/composable_kernel' (https://github.com/jwfromm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel' 2025-09-07T06:42:18.8848918Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo' 2025-09-07T06:42:18.8849478Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass' 2025-09-07T06:42:18.8850038Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest' 2025-09-07T06:42:18.8851275Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch' 2025-09-07T06:42:18.8854019Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json' 2025-09-07T06:42:18.8883784Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'... 2025-09-07T06:42:20.0541281Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'... 2025-09-07T06:42:20.0541960Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'... 2025-09-07T06:42:20.0542535Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'... 2025-09-07T06:42:20.1542680Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'... 2025-09-07T06:42:20.2578453Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'... 2025-09-07T06:42:21.0941585Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/json'... 2025-09-07T06:42:25.2247268Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea' 2025-09-07T06:42:25.4103970Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out 'b1281b8b08d973a7064f864f47eeb30f3e2596e9' 2025-09-07T06:42:25.5027370Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349' 2025-09-07T06:42:25.9943919Z Submodule path 'third_party/fbgemm/external/cutlass': checked out '311f3c8e51dc0eb56310cfc6980bf63d0fbd7917' 2025-09-07T06:42:26.0330176Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-09-07T06:42:26.0441733Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out '63b6a7b541fa7f08f8475ca7d74054db36ff2691' 2025-09-07T06:42:26.1307418Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03' 2025-09-07T06:42:26.1874534Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5' 2025-09-07T06:42:26.1898874Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T06:42:26.1899729Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass' 2025-09-07T06:42:26.1925345Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'... 2025-09-07T06:42:29.8415525Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'... 2025-09-07T06:42:30.0155515Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33' 2025-09-07T06:42:30.4613304Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420' 2025-09-07T06:42:30.5640413Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757' 2025-09-07T06:42:30.5915358Z Submodule path 'third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21' 2025-09-07T06:42:30.6258399Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2025-09-07T06:42:30.6463672Z Submodule path 'third_party/gloo': checked out 'c7b7b022c124d9643957d9bd55f57ac59fce8fa2' 2025-09-07T06:42:30.6840017Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-09-07T06:42:30.6954881Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3' 2025-09-07T06:42:30.6972252Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn' 2025-09-07T06:42:30.6995586Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'... 2025-09-07T06:42:43.8793596Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d' 2025-09-07T06:42:43.8959711Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959' 2025-09-07T06:42:43.9794577Z Submodule path 'third_party/kineto': checked out '5e7501833f1021ce6f618572d3baf657b6319658' 2025-09-07T06:42:43.9812116Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T06:42:43.9812917Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T06:42:43.9813758Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T06:42:43.9841489Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'... 2025-09-07T06:42:45.1661460Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'... 2025-09-07T06:42:45.4807454Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'... 2025-09-07T06:42:45.5501674Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out '7d04a0053a845370ae06ce317a22a48e9edcc74e' 2025-09-07T06:42:45.5520759Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T06:42:45.5521482Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T06:42:45.5522165Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T06:42:45.5522995Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T06:42:45.5523699Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T06:42:45.5524446Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T06:42:45.5527231Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T06:42:45.5528022Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T06:42:45.5561965Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'... 2025-09-07T06:42:46.8448844Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'... 2025-09-07T06:42:46.8451559Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'... 2025-09-07T06:42:46.8456585Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'... 2025-09-07T06:42:46.8461257Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'... 2025-09-07T06:42:46.8463056Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'... 2025-09-07T06:42:46.8463684Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'... 2025-09-07T06:42:46.9446279Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'... 2025-09-07T06:42:53.5953011Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2025-09-07T06:42:53.6106836Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2025-09-07T06:42:53.6432235Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2025-09-07T06:42:53.6563607Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2025-09-07T06:42:53.6581183Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T06:42:53.6602763Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'... 2025-09-07T06:42:53.9399537Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4' 2025-09-07T06:42:53.9562845Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446' 2025-09-07T06:42:53.9908984Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '58d77fa8070e8cec2dc1ed015d66b454c8d78850' 2025-09-07T06:42:54.0724834Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5' 2025-09-07T06:42:54.0870606Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150' 2025-09-07T06:42:54.1200075Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '0041a40c1350ba702d475b9c4ad62da77caea164' 2025-09-07T06:42:54.1703694Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '7aca84427f224eeed3144123d5230d5871e93347' 2025-09-07T06:42:54.2055139Z Submodule path 'third_party/kleidiai': checked out 'cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7' 2025-09-07T06:42:54.2375202Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e' 2025-09-07T06:42:54.3286172Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72' 2025-09-07T06:42:54.6058894Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83' 2025-09-07T06:42:54.6086235Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/onnx/third_party/pybind11' 2025-09-07T06:42:54.6117872Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx/third_party/pybind11'... 2025-09-07T06:42:55.6041188Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4' 2025-09-07T06:42:55.6568116Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878' 2025-09-07T06:42:55.6585661Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark) registered for path 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T06:42:55.6586526Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T06:42:55.6587287Z Submodule 'third_party/ms-gsl' (https://github.com/microsoft/GSL) registered for path 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T06:42:55.6588435Z Submodule 'third_party/nlohmann-json' (https://github.com/nlohmann/json) registered for path 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T06:42:55.6595922Z Submodule 'third_party/opentelemetry-proto' (https://github.com/open-telemetry/opentelemetry-proto) registered for path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T06:42:55.6596960Z Submodule 'third_party/opentracing-cpp' (https://github.com/opentracing/opentracing-cpp.git) registered for path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T06:42:55.6597725Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T06:42:55.6598384Z Submodule 'tools/vcpkg' (https://github.com/Microsoft/vcpkg) registered for path 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T06:42:55.6623420Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/benchmark'... 2025-09-07T06:42:56.0729661Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentracing-cpp'... 2025-09-07T06:42:56.0730834Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentelemetry-proto'... 2025-09-07T06:42:56.0731764Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/ms-gsl'... 2025-09-07T06:42:56.0732371Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp'... 2025-09-07T06:42:56.1731420Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/googletest'... 2025-09-07T06:42:56.6515486Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/nlohmann-json'... 2025-09-07T06:43:03.6159277Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/tools/vcpkg'... 2025-09-07T06:43:04.1899648Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2' 2025-09-07T06:43:04.2245004Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1' 2025-09-07T06:43:04.2396722Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out '6f4529395c5b7c2d661812257cd6780c67e54afa' 2025-09-07T06:43:04.3256720Z Submodule path 'third_party/opentelemetry-cpp/third_party/nlohmann-json': checked out 'bc889afb4c5bf1c0d8ee29ef35eaaf4c8bef8a5d' 2025-09-07T06:43:04.3381796Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto': checked out '4ca4f0335c63cda7ab31ea7ed70d6553aee14dce' 2025-09-07T06:43:04.3507702Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp': checked out '06b57f48ded1fa3bdd3d4346f6ef29e40e08eaf5' 2025-09-07T06:43:04.3638647Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp': checked out 'c9ffcdda9086ffd9e1283ea7a0276d831f3c8a8d' 2025-09-07T06:43:04.3650464Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T06:43:04.3651327Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T06:43:04.3675405Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'... 2025-09-07T06:43:05.9580915Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'... 2025-09-07T06:43:06.1626081Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'eefb26f82b233268fc98577d265352720d477ba4' 2025-09-07T06:43:06.2011269Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929' 2025-09-07T06:43:06.5154729Z Submodule path 'third_party/opentelemetry-cpp/tools/vcpkg': checked out '8eb57355a4ffb410a2e94c07b4dca2dffbee8e50' 2025-09-07T06:43:06.5263598Z Submodule path 'third_party/pocketfft': checked out '0fa0ef591e38c2758e3184c6c23e497b9f732ffa' 2025-09-07T06:43:06.7365214Z Submodule path 'third_party/protobuf': checked out 'd1eca4e4b421cd2997495c4b4e65cea6be4e9b8a' 2025-09-07T06:43:06.7386191Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/protobuf/third_party/benchmark' 2025-09-07T06:43:06.7388078Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/protobuf/third_party/googletest' 2025-09-07T06:43:06.7418365Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf/third_party/benchmark'... 2025-09-07T06:43:07.2303172Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf/third_party/googletest'... 2025-09-07T06:43:07.5963119Z Submodule path 'third_party/protobuf/third_party/benchmark': checked out '5b7683f49e1e9223cf9927b24f6fd3d6bd82e3f8' 2025-09-07T06:43:07.6581587Z Submodule path 'third_party/protobuf/third_party/googletest': checked out '5ec7f0c4a113e2f18ac2c6cc7df51ad6afc24081' 2025-09-07T06:43:07.6668910Z Submodule path 'third_party/psimd': checked out '072586a71b55b7f8c584153d223e95687148a900' 2025-09-07T06:43:07.6778203Z Submodule path 'third_party/pthreadpool': checked out '4fe0e1e183925bf8cfa6aae24237e724a96479b8' 2025-09-07T06:43:07.7110310Z Submodule path 'third_party/pybind11': checked out 'f5fbe867d2d26e4a0a9177a51f6e568868ad3dc8' 2025-09-07T06:43:07.7348242Z Submodule path 'third_party/python-peachpy': checked out 'f45429b087dd7d5bc78bb40dc7cf06425c252d67' 2025-09-07T06:43:07.7703094Z Submodule path 'third_party/sleef': checked out '5a1d179df9cf652951b59010a2d2075372d67f68' 2025-09-07T06:43:07.7915028Z Submodule path 'third_party/tensorpipe': checked out 'af0118d13e52f5a08841464a768e01a0bf3e3075' 2025-09-07T06:43:07.7931444Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/tensorpipe/third_party/googletest' 2025-09-07T06:43:07.7932299Z Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 'third_party/tensorpipe/third_party/libnop' 2025-09-07T06:43:07.7932866Z Submodule 'third_party/libuv' (https://github.com/libuv/libuv.git) registered for path 'third_party/tensorpipe/third_party/libuv' 2025-09-07T06:43:07.7933540Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T06:43:07.7958813Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/googletest'... 2025-09-07T06:43:08.6970588Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/libnop'... 2025-09-07T06:43:08.7192105Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/libuv'... 2025-09-07T06:43:08.9707932Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/pybind11'... 2025-09-07T06:43:09.0192919Z Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' 2025-09-07T06:43:09.0326435Z Submodule path 'third_party/tensorpipe/third_party/libnop': checked out '910b55815be16109f04f4180e9adee14fb4ce281' 2025-09-07T06:43:09.0923725Z Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '5152db2cbfeb5582e9c27c5ea1dba2cd9e10759b' 2025-09-07T06:43:09.1168026Z Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef' 2025-09-07T06:43:09.1182893Z Submodule 'tools/clang' (https://github.com/wjakob/clang-cindex-python3) registered for path 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T06:43:09.1205480Z Cloning into 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2025-09-07T06:43:10.1461146Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local 'http.https://github.com/.extraheader' 'AUTHORIZATION: basic ***' && git config --local --show-origin --name-only --get-regexp remote.origin.url" 2025-09-07T06:43:10.1774094Z Entering 'android/libs/fbjni' 2025-09-07T06:43:10.1823638Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config remote.origin.url 2025-09-07T06:43:10.1840820Z Entering 'third_party/FP16' 2025-09-07T06:43:10.1891708Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config remote.origin.url 2025-09-07T06:43:10.1909373Z Entering 'third_party/FXdiv' 2025-09-07T06:43:10.1956778Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config remote.origin.url 2025-09-07T06:43:10.1973010Z Entering 'third_party/NNPACK' 2025-09-07T06:43:10.2022460Z 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file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/modules/tools/clang/config remote.origin.url 2025-09-07T06:43:10.8357450Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:' 2025-09-07T06:43:10.8676020Z Entering 'android/libs/fbjni' 2025-09-07T06:43:10.8713692Z Entering 'third_party/FP16' 2025-09-07T06:43:10.8761241Z Entering 'third_party/FXdiv' 2025-09-07T06:43:10.8799811Z Entering 'third_party/NNPACK' 2025-09-07T06:43:10.8851934Z Entering 'third_party/NVTX' 2025-09-07T06:43:10.8890867Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T06:43:10.8930579Z Entering 'third_party/XNNPACK' 2025-09-07T06:43:10.8977320Z Entering 'third_party/aiter' 2025-09-07T06:43:10.9013378Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T06:43:10.9060278Z Entering 'third_party/benchmark' 2025-09-07T06:43:10.9108479Z Entering 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2025-09-07T06:43:11.1216200Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T06:43:11.1260993Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T06:43:11.1302079Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T06:43:11.1357318Z Entering 'third_party/pocketfft' 2025-09-07T06:43:11.1394512Z Entering 'third_party/protobuf' 2025-09-07T06:43:11.1443361Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T06:43:11.1482023Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T06:43:11.1525581Z Entering 'third_party/psimd' 2025-09-07T06:43:11.1562245Z Entering 'third_party/pthreadpool' 2025-09-07T06:43:11.1601994Z Entering 'third_party/pybind11' 2025-09-07T06:43:11.1645616Z Entering 'third_party/python-peachpy' 2025-09-07T06:43:11.1683732Z Entering 'third_party/sleef' 2025-09-07T06:43:11.1723434Z Entering 'third_party/tensorpipe' 2025-09-07T06:43:11.1764748Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T06:43:11.1804768Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T06:43:11.1845519Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T06:43:11.1883992Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T06:43:11.1921731Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T06:43:11.1986851Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:' 2025-09-07T06:43:11.2297764Z Entering 'android/libs/fbjni' 2025-09-07T06:43:11.2339893Z Entering 'third_party/FP16' 2025-09-07T06:43:11.2378039Z Entering 'third_party/FXdiv' 2025-09-07T06:43:11.2425811Z Entering 'third_party/NNPACK' 2025-09-07T06:43:11.2467673Z Entering 'third_party/NVTX' 2025-09-07T06:43:11.2507967Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T06:43:11.2546804Z Entering 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2025-09-07T06:43:11.3187611Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T06:43:11.3226878Z Entering 'third_party/fbgemm/external/json' 2025-09-07T06:43:11.3270118Z Entering 'third_party/flash-attention' 2025-09-07T06:43:11.3307552Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T06:43:11.3353899Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T06:43:11.3402273Z Entering 'third_party/flatbuffers' 2025-09-07T06:43:11.3440893Z Entering 'third_party/fmt' 2025-09-07T06:43:11.3480701Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T06:43:11.3518571Z Entering 'third_party/gloo' 2025-09-07T06:43:11.3557564Z Entering 'third_party/googletest' 2025-09-07T06:43:11.3600803Z Entering 'third_party/ideep' 2025-09-07T06:43:11.3635621Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T06:43:11.3679560Z Entering 'third_party/ittapi' 2025-09-07T06:43:11.3720328Z Entering 'third_party/kineto' 2025-09-07T06:43:11.3757692Z Entering 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'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T06:43:11.4675539Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T06:43:11.4711471Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T06:43:11.4755731Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T06:43:11.4790409Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T06:43:11.4830003Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T06:43:11.4872151Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T06:43:11.4928639Z Entering 'third_party/pocketfft' 2025-09-07T06:43:11.4969625Z Entering 'third_party/protobuf' 2025-09-07T06:43:11.5011833Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T06:43:11.5057919Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T06:43:11.5096367Z Entering 'third_party/psimd' 2025-09-07T06:43:11.5140217Z Entering 'third_party/pthreadpool' 2025-09-07T06:43:11.5185405Z Entering 'third_party/pybind11' 2025-09-07T06:43:11.5224331Z Entering 'third_party/python-peachpy' 2025-09-07T06:43:11.5265137Z Entering 'third_party/sleef' 2025-09-07T06:43:11.5300907Z Entering 'third_party/tensorpipe' 2025-09-07T06:43:11.5342014Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T06:43:11.5380671Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T06:43:11.5418890Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T06:43:11.5461712Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T06:43:11.5494467Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T06:43:11.5563370Z ##[endgroup] 2025-09-07T06:43:11.5592678Z [command]/usr/bin/git log -1 --format=%H 2025-09-07T06:43:11.5613490Z 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T06:43:11.5724785Z ##[group]Run cd "${GITHUB_WORKSPACE}" 2025-09-07T06:43:11.5725062Z cd "${GITHUB_WORKSPACE}" 2025-09-07T06:43:11.5725530Z # Clean stale submodule dirs 2025-09-07T06:43:11.5725791Z if [ -z "${NO_SUDO}" ]; then 2025-09-07T06:43:11.5726048Z  sudo git submodule foreach --recursive git clean -ffdx 2025-09-07T06:43:11.5726314Z else 2025-09-07T06:43:11.5726540Z  git submodule foreach --recursive git clean -ffdx 2025-09-07T06:43:11.5726798Z fi 2025-09-07T06:43:11.5733548Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T06:43:11.5733780Z env: 2025-09-07T06:43:11.5733940Z GIT_DEFAULT_BRANCH: main 2025-09-07T06:43:11.5734120Z NO_SUDO: true 2025-09-07T06:43:11.5734269Z ##[endgroup] 2025-09-07T06:43:11.6060176Z Entering 'android/libs/fbjni' 2025-09-07T06:43:11.6094722Z Entering 'third_party/FP16' 2025-09-07T06:43:11.6123181Z Entering 'third_party/FXdiv' 2025-09-07T06:43:11.6152576Z Entering 'third_party/NNPACK' 2025-09-07T06:43:11.6190562Z Entering 'third_party/NVTX' 2025-09-07T06:43:11.6222064Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T06:43:11.6255165Z Entering 'third_party/XNNPACK' 2025-09-07T06:43:11.6348159Z Entering 'third_party/aiter' 2025-09-07T06:43:11.6386891Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T06:43:11.6472390Z Entering 'third_party/benchmark' 2025-09-07T06:43:11.6499689Z Entering 'third_party/composable_kernel' 2025-09-07T06:43:11.6588413Z Entering 'third_party/cpp-httplib' 2025-09-07T06:43:11.6626284Z Entering 'third_party/cpuinfo' 2025-09-07T06:43:11.6657845Z Entering 'third_party/cudnn_frontend' 2025-09-07T06:43:11.6688618Z Entering 'third_party/cutlass' 2025-09-07T06:43:11.6762749Z Entering 'third_party/fbgemm' 2025-09-07T06:43:11.6808345Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T06:43:11.6840321Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T06:43:11.6921583Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T06:43:11.6950829Z Entering 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'third_party/ittapi' 2025-09-07T06:43:11.7642066Z Entering 'third_party/kineto' 2025-09-07T06:43:11.7674928Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T06:43:11.7706280Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T06:43:11.7746776Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T06:43:11.7779111Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T06:43:11.7812229Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T06:43:11.7842813Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T06:43:11.7880464Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T06:43:11.7906630Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T06:43:11.7944377Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T06:43:11.7980263Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T06:43:11.8011427Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T06:43:11.8044382Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T06:43:11.8081663Z Entering 'third_party/kleidiai' 2025-09-07T06:43:11.8114854Z Entering 'third_party/mimalloc' 2025-09-07T06:43:11.8151088Z Entering 'third_party/nlohmann' 2025-09-07T06:43:11.8192664Z Entering 'third_party/onnx' 2025-09-07T06:43:11.8415206Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T06:43:11.8456430Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T06:43:11.8501328Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T06:43:11.8527786Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T06:43:11.8562077Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T06:43:11.8593531Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T06:43:11.8631120Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T06:43:11.8665528Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T06:43:11.8697443Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T06:43:11.8722859Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T06:43:11.8766038Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T06:43:11.8802465Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T06:43:11.8989670Z Entering 'third_party/pocketfft' 2025-09-07T06:43:11.9022778Z Entering 'third_party/protobuf' 2025-09-07T06:43:11.9083036Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T06:43:11.9115177Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T06:43:11.9150577Z Entering 'third_party/psimd' 2025-09-07T06:43:11.9181270Z Entering 'third_party/pthreadpool' 2025-09-07T06:43:11.9210312Z Entering 'third_party/pybind11' 2025-09-07T06:43:11.9244131Z Entering 'third_party/python-peachpy' 2025-09-07T06:43:11.9277433Z Entering 'third_party/sleef' 2025-09-07T06:43:11.9310216Z Entering 'third_party/tensorpipe' 2025-09-07T06:43:11.9342158Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T06:43:11.9376602Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T06:43:11.9404825Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T06:43:11.9441695Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T06:43:11.9472320Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T06:43:11.9595892Z Prepare all required actions 2025-09-07T06:43:11.9596342Z Getting action download info 2025-09-07T06:43:12.1241099Z ##[group]Run ./.github/actions/setup-linux 2025-09-07T06:43:12.1241313Z env: 2025-09-07T06:43:12.1241484Z GIT_DEFAULT_BRANCH: main 2025-09-07T06:43:12.1241646Z ##[endgroup] 2025-09-07T06:43:12.1279806Z ##[group]Run set -euo pipefail 2025-09-07T06:43:12.1280056Z set -euo pipefail 2025-09-07T06:43:12.1280249Z function get_ec2_metadata() { 2025-09-07T06:43:12.1280488Z  # Pulled from instance metadata endpoint for EC2 2025-09-07T06:43:12.1280866Z  # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html 2025-09-07T06:43:12.1281196Z  category=$1 2025-09-07T06:43:12.1281432Z  # If it is GCP runner (runner name contains gcp), do not run this 2025-09-07T06:43:12.1281698Z  runner_name_str=i-04f70f15c9cb3402f 2025-09-07T06:43:12.1281966Z  if [[ -f /.inarc ]]; then 2025-09-07T06:43:12.1282193Z  echo "ARC Runner, no info on ec2 metadata" 2025-09-07T06:43:12.1282432Z  elif [[ $runner_name_str == *"gcp"* ]]; then 2025-09-07T06:43:12.1282720Z  echo "Runner is from Google Cloud Platform, No info on ec2 metadata" 2025-09-07T06:43:12.1283122Z  else 2025-09-07T06:43:12.1283631Z  curl -H "X-aws-ec2-metadata-token: $(curl -s -X PUT "http://169.254.169.254/latest/api/token" -H "X-aws-ec2-metadata-token-ttl-seconds: 30")" -fsSL "http://169.254.169.254/latest/meta-data/${category}" 2025-09-07T06:43:12.1284134Z  fi 2025-09-07T06:43:12.1284283Z } 2025-09-07T06:43:12.1284467Z echo "ami-id: $(get_ec2_metadata ami-id)" 2025-09-07T06:43:12.1284731Z echo "instance-id: $(get_ec2_metadata instance-id)" 2025-09-07T06:43:12.1285022Z echo "instance-type: $(get_ec2_metadata instance-type)" 2025-09-07T06:43:12.1285428Z echo "system info $(uname -a)" 2025-09-07T06:43:12.1290846Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T06:43:12.1291080Z env: 2025-09-07T06:43:12.1291234Z GIT_DEFAULT_BRANCH: main 2025-09-07T06:43:12.1291397Z ##[endgroup] 2025-09-07T06:43:12.1425949Z ami-id: ami-05ffe3c48a9991133 2025-09-07T06:43:12.1555032Z instance-id: i-04f70f15c9cb3402f 2025-09-07T06:43:12.1648006Z instance-type: m7i-flex.8xlarge 2025-09-07T06:43:12.1664203Z system info Linux ip-10-0-37-81.ec2.internal 6.1.141-155.222.amzn2023.x86_64 #1 SMP PREEMPT_DYNAMIC Tue Jun 17 10:29:47 UTC 2025 x86_64 x86_64 x86_64 GNU/Linux 2025-09-07T06:43:12.1689220Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T06:43:12.1689759Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T06:43:12.1695059Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T06:43:12.1695310Z env: 2025-09-07T06:43:12.1695454Z GIT_DEFAULT_BRANCH: main 2025-09-07T06:43:12.1695631Z ##[endgroup] 2025-09-07T06:43:12.1747653Z ##[group]Run if systemctl is-active --quiet docker; then 2025-09-07T06:43:12.1747955Z if systemctl is-active --quiet docker; then 2025-09-07T06:43:12.1748194Z  echo "Docker daemon is running..."; 2025-09-07T06:43:12.1748396Z else 2025-09-07T06:43:12.1748613Z  echo "Starting docker daemon..." && sudo systemctl start docker; 2025-09-07T06:43:12.1748862Z fi 2025-09-07T06:43:12.1752831Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T06:43:12.1753059Z env: 2025-09-07T06:43:12.1753205Z GIT_DEFAULT_BRANCH: main 2025-09-07T06:43:12.1753379Z ##[endgroup] 2025-09-07T06:43:12.1858328Z Docker daemon is running... 2025-09-07T06:43:12.1894174Z ##[group]Run nick-fields/retry@v3.0.0 2025-09-07T06:43:12.1894393Z with: 2025-09-07T06:43:12.1894540Z shell: bash 2025-09-07T06:43:12.1894823Z timeout_minutes: 5 2025-09-07T06:43:12.1894997Z max_attempts: 3 2025-09-07T06:43:12.1895172Z retry_wait_seconds: 30 2025-09-07T06:43:12.1896479Z command: AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\") aws ecr get-login-password --region "$AWS_DEFAULT_REGION" | docker login --username AWS \ --password-stdin "$AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com" # For LF Runners we need to make sure we also login to Meta's ECR docker registry too. META_AWS_ACCOUNT_ID=308535385114 if [ "$AWS_ACCOUNT_ID" != "$META_AWS_ACCOUNT_ID" ] ; then aws ecr get-login-password --region "$AWS_DEFAULT_REGION" | docker login --username AWS \ --password-stdin "$META_AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com" fi 2025-09-07T06:43:12.1897749Z polling_interval_seconds: 1 2025-09-07T06:43:12.1897942Z warning_on_retry: true 2025-09-07T06:43:12.1898115Z continue_on_error: false 2025-09-07T06:43:12.1898292Z env: 2025-09-07T06:43:12.1898449Z GIT_DEFAULT_BRANCH: main 2025-09-07T06:43:12.1898634Z AWS_RETRY_MODE: standard 2025-09-07T06:43:12.1898808Z AWS_MAX_ATTEMPTS: 5 2025-09-07T06:43:12.1898995Z AWS_DEFAULT_REGION: us-east-1 2025-09-07T06:43:12.1899174Z ##[endgroup] 2025-09-07T06:43:13.0866767Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-09-07T06:43:13.0867391Z Configure a credential helper to remove this warning. See 2025-09-07T06:43:13.0867799Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-09-07T06:43:13.0868053Z 2025-09-07T06:43:13.0868130Z Login Succeeded 2025-09-07T06:43:13.2595179Z Command completed after 1 attempt(s). 2025-09-07T06:43:13.2658035Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T06:43:13.2658375Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T06:43:13.2658650Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T06:43:13.2664955Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T06:43:13.2665179Z env: 2025-09-07T06:43:13.2665332Z GIT_DEFAULT_BRANCH: main 2025-09-07T06:43:13.2665506Z ##[endgroup] 2025-09-07T06:43:13.2754283Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-09-07T06:43:13.2754639Z # ignore expansion of "docker ps -q" since it could be empty 2025-09-07T06:43:13.2754894Z # shellcheck disable=SC2046 2025-09-07T06:43:13.2755101Z docker stop $(docker ps -q) || true 2025-09-07T06:43:13.2755307Z # Prune all of the docker images 2025-09-07T06:43:13.2755507Z docker system prune -af 2025-09-07T06:43:13.2759198Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T06:43:13.2759422Z env: 2025-09-07T06:43:13.2759561Z GIT_DEFAULT_BRANCH: main 2025-09-07T06:43:13.2759730Z ##[endgroup] 2025-09-07T06:43:13.3277778Z "docker stop" requires at least 1 argument. 2025-09-07T06:43:13.3279351Z See 'docker stop --help'. 2025-09-07T06:43:13.3279527Z 2025-09-07T06:43:13.3279664Z Usage: docker stop [OPTIONS] CONTAINER [CONTAINER...] 2025-09-07T06:43:13.3279836Z 2025-09-07T06:43:13.3279936Z Stop one or more running containers 2025-09-07T06:43:13.3482207Z Total reclaimed space: 0B 2025-09-07T06:43:13.3513042Z ##[group]Run set +e 2025-09-07T06:43:13.3513254Z set +e 2025-09-07T06:43:13.3513434Z set -x 2025-09-07T06:43:13.3513589Z  2025-09-07T06:43:13.3513764Z PT_DOMAIN=download.pytorch.org 2025-09-07T06:43:13.3514118Z # TODO: Flaky access to download.pytorch.org https://github.com/pytorch/pytorch/issues/100400, 2025-09-07T06:43:13.3515169Z # cleaning this up once the issue is fixed. There are more than one resolved IP here, the last 2025-09-07T06:43:13.3515486Z # one is returned at random 2025-09-07T06:43:13.3515746Z RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" | tail -n1) 2025-09-07T06:43:13.3515976Z  2025-09-07T06:43:13.3516280Z if [ -z "${RESOLVED_IP}" ]; then 2025-09-07T06:43:13.3516553Z  echo "Couldn't resolve ${PT_DOMAIN}, retrying with Google DNS..." 2025-09-07T06:43:13.3516881Z  RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" @8.8.8.8 | tail -n1) 2025-09-07T06:43:13.3517204Z  2025-09-07T06:43:13.3517360Z  if [ -z "${RESOLVED_IP}" ]; then 2025-09-07T06:43:13.3517608Z  echo "Couldn't resolve ${PT_DOMAIN}, exiting..." 2025-09-07T06:43:13.3517836Z  exit 1 2025-09-07T06:43:13.3517997Z  fi 2025-09-07T06:43:13.3518141Z fi 2025-09-07T06:43:13.3518289Z  2025-09-07T06:43:13.3518486Z if grep -r "${PT_DOMAIN}" /etc/hosts; then 2025-09-07T06:43:13.3518718Z  # Clean up any old records first 2025-09-07T06:43:13.3518940Z  sudo sed -i "/${PT_DOMAIN}/d" /etc/hosts 2025-09-07T06:43:13.3519137Z fi 2025-09-07T06:43:13.3519279Z  2025-09-07T06:43:13.3519481Z echo "${RESOLVED_IP} ${PT_DOMAIN}" | sudo tee -a /etc/hosts 2025-09-07T06:43:13.3519724Z cat /etc/hosts 2025-09-07T06:43:13.3524417Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T06:43:13.3524652Z env: 2025-09-07T06:43:13.3524812Z GIT_DEFAULT_BRANCH: main 2025-09-07T06:43:13.3525080Z ##[endgroup] 2025-09-07T06:43:13.3551017Z + PT_DOMAIN=download.pytorch.org 2025-09-07T06:43:13.3555785Z ++ dig -4 +short download.pytorch.org 2025-09-07T06:43:13.3560037Z ++ tail -n1 2025-09-07T06:43:13.4238936Z + RESOLVED_IP=18.160.10.22 2025-09-07T06:43:13.4239439Z + '[' -z 18.160.10.22 ']' 2025-09-07T06:43:13.4239795Z + grep -r download.pytorch.org /etc/hosts 2025-09-07T06:43:13.4259689Z + echo '18.160.10.22 download.pytorch.org' 2025-09-07T06:43:13.4263136Z + sudo tee -a /etc/hosts 2025-09-07T06:43:13.7707407Z 18.160.10.22 download.pytorch.org 2025-09-07T06:43:13.7725045Z + cat /etc/hosts 2025-09-07T06:43:13.7733715Z 127.0.0.1 localhost localhost.localdomain localhost4 localhost4.localdomain4 2025-09-07T06:43:13.7739787Z ::1 localhost6 localhost6.localdomain6 2025-09-07T06:43:13.7740050Z 18.160.10.22 download.pytorch.org 2025-09-07T06:43:13.7853135Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main 2025-09-07T06:43:13.7853426Z with: 2025-09-07T06:43:13.7853966Z docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T06:43:13.7854526Z use-custom-docker-registry: true 2025-09-07T06:43:13.7854747Z docker-build-dir: .ci/docker 2025-09-07T06:43:13.7854953Z docker-build-script: ./build.sh 2025-09-07T06:43:13.7855150Z working-directory: . 2025-09-07T06:43:13.7855387Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T06:43:13.7855643Z force-push: false 2025-09-07T06:43:13.7855806Z env: 2025-09-07T06:43:13.7855956Z GIT_DEFAULT_BRANCH: main 2025-09-07T06:43:13.7856136Z ##[endgroup] 2025-09-07T06:43:13.7877415Z ##[group]Run set -ex 2025-09-07T06:43:13.7877662Z set -ex 2025-09-07T06:43:13.7877824Z  2025-09-07T06:43:13.7878131Z # If the docker build directory or the build script doesn't exist, the action will 2025-09-07T06:43:13.7878507Z # gracefully return the docker image name as it is. Pulling docker image in Linux 2025-09-07T06:43:13.7878859Z # job could then download the pre-built image as usual 2025-09-07T06:43:13.7879289Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then 2025-09-07T06:43:13.7879683Z  echo "skip=false" >> "${GITHUB_OUTPUT}" 2025-09-07T06:43:13.7879901Z else 2025-09-07T06:43:13.7880086Z  echo "skip=true" >> "${GITHUB_OUTPUT}" 2025-09-07T06:43:13.7880360Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-09-07T06:43:13.7880632Z  2025-09-07T06:43:13.7880998Z  echo "Not using custom ECR registry. Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..." 2025-09-07T06:43:13.7881397Z  exit 0 2025-09-07T06:43:13.7881554Z fi 2025-09-07T06:43:13.7881712Z  2025-09-07T06:43:13.7881958Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then 2025-09-07T06:43:13.7882322Z  # The docker image name already includes the ECR prefix and tag, so we can just 2025-09-07T06:43:13.7882647Z  # use it as it is, but first let's extract the tag 2025-09-07T06:43:13.7882941Z  DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}') 2025-09-07T06:43:13.7883259Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-07T06:43:13.7883561Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-09-07T06:43:13.7883823Z else 2025-09-07T06:43:13.7884016Z  if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then 2025-09-07T06:43:13.7884271Z  CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:} 2025-09-07T06:43:13.7884537Z  DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*} 2025-09-07T06:43:13.7884764Z  fi 2025-09-07T06:43:13.7885074Z  DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}") 2025-09-07T06:43:13.7885777Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-07T06:43:13.7886185Z  echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-07T06:43:13.7886635Z  echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}" 2025-09-07T06:43:13.7886922Z fi 2025-09-07T06:43:13.7892615Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T06:43:13.7892852Z env: 2025-09-07T06:43:13.7893013Z GIT_DEFAULT_BRANCH: main 2025-09-07T06:43:13.7893201Z REPO_NAME: pytorch 2025-09-07T06:43:13.7893832Z DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T06:43:13.7894364Z DOCKER_BUILD_DIR: .ci/docker 2025-09-07T06:43:13.7894551Z DOCKER_BUILD_SCRIPT: ./build.sh 2025-09-07T06:43:13.7894796Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T06:43:13.7895050Z USE_CUSTOM_DOCKER_REGISTRY: true 2025-09-07T06:43:13.7895246Z CUSTOM_TAG_PREFIX: 2025-09-07T06:43:13.7895409Z ##[endgroup] 2025-09-07T06:43:13.7923138Z + [[ -d .ci/docker ]] 2025-09-07T06:43:13.7925784Z + [[ -f .ci/docker/./build.sh ]] 2025-09-07T06:43:13.7926004Z + [[ true == \t\r\u\e ]] 2025-09-07T06:43:13.7926193Z + echo skip=false 2025-09-07T06:43:13.7926867Z + [[ 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 == *\3\0\8\5\3\5\3\8\5\1\1\4\.\d\k\r\.\e\c\r\.\u\s\-\e\a\s\t\-\1\.\a\m\a\z\o\n\a\w\s\.\c\o\m\/\p\y\t\o\r\c\h* ]] 2025-09-07T06:43:13.7928015Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T06:43:13.7932543Z ++ awk -F '[:,]' '{print $2}' 2025-09-07T06:43:13.7949473Z + DOCKER_TAG=pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T06:43:13.7950220Z + echo docker-tag=pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T06:43:13.7951008Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T06:43:13.7981008Z ##[group]Run set +e 2025-09-07T06:43:13.7981225Z set +e 2025-09-07T06:43:13.7981385Z set -x 2025-09-07T06:43:13.7981528Z  2025-09-07T06:43:13.7981677Z login() { 2025-09-07T06:43:13.7981974Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-09-07T06:43:13.7982285Z } 2025-09-07T06:43:13.7982421Z  2025-09-07T06:43:13.7982564Z retry () { 2025-09-07T06:43:13.7982747Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-09-07T06:43:13.7982942Z } 2025-09-07T06:43:13.7983073Z  2025-09-07T06:43:13.7983225Z retry login "${DOCKER_REGISTRY}" 2025-09-07T06:43:13.7983414Z  2025-09-07T06:43:13.7983558Z START_TIME=$(date +%s) 2025-09-07T06:43:13.7983744Z # Wait up to 120 minutes 2025-09-07T06:43:13.7983973Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do 2025-09-07T06:43:13.7984261Z  # Check if image already exists, if it does then skip building it 2025-09-07T06:43:13.7984550Z  if docker manifest inspect "${DOCKER_IMAGE}"; then 2025-09-07T06:43:13.7984767Z  exit 0 2025-09-07T06:43:13.7984912Z  fi 2025-09-07T06:43:13.7985059Z  2025-09-07T06:43:13.7985296Z  # NB: This flag is used by Docker build workflow to push the image to ECR, so we can 2025-09-07T06:43:13.7985663Z  # use this to differentiate between the Docker build and regular build jobs. For the 2025-09-07T06:43:13.7986116Z  # latter, it will wait for the Docker images to become available before continuing 2025-09-07T06:43:13.7986416Z  if [ "${DOCKER_PUSH:-false}" == "true" ]; then 2025-09-07T06:43:13.7986664Z  # It's a Docker build job, let's build the image 2025-09-07T06:43:13.7986875Z  break 2025-09-07T06:43:13.7987031Z  else 2025-09-07T06:43:13.7987237Z  # It's a regular build job, wait for the image to become available 2025-09-07T06:43:13.7987483Z  sleep 300 2025-09-07T06:43:13.7987647Z  fi 2025-09-07T06:43:13.7987795Z done 2025-09-07T06:43:13.7987932Z  2025-09-07T06:43:13.7988154Z # NB: This part requires a full checkout. Otherwise, the merge base will 2025-09-07T06:43:13.7988563Z # be empty. The default action would be to continue rebuild the image 2025-09-07T06:43:13.7988867Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then 2025-09-07T06:43:13.7989148Z  # if we're on the base branch then use the parent commit 2025-09-07T06:43:13.7989392Z  MERGE_BASE=$(git rev-parse HEAD~) 2025-09-07T06:43:13.7989589Z else 2025-09-07T06:43:13.7989797Z  # otherwise we're on a PR, so use the most recent base commit 2025-09-07T06:43:13.7990083Z  MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION") 2025-09-07T06:43:13.7990299Z fi 2025-09-07T06:43:13.7990451Z  2025-09-07T06:43:13.7990614Z if [[ -z "${MERGE_BASE}" ]]; then 2025-09-07T06:43:13.7990845Z  echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-09-07T06:43:13.7991045Z  2025-09-07T06:43:13.7991331Z  echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..." 2025-09-07T06:43:13.7991643Z  exit 0 2025-09-07T06:43:13.7991798Z fi 2025-09-07T06:43:13.7991936Z  2025-09-07T06:43:13.7992141Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then 2025-09-07T06:43:13.7992529Z  echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit" 2025-09-07T06:43:13.7992859Z  exit 1 2025-09-07T06:43:13.7993011Z fi 2025-09-07T06:43:13.7993147Z  2025-09-07T06:43:13.7993376Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}") 2025-09-07T06:43:13.7993752Z # If no image exists but the hash is the same as the previous hash then we should error out here 2025-09-07T06:43:13.7994095Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then 2025-09-07T06:43:13.7994485Z  echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch" 2025-09-07T06:43:13.7994905Z  echo " Will re-build docker image to store in local cache, TTS may be longer" 2025-09-07T06:43:13.7995172Z fi 2025-09-07T06:43:13.7995315Z  2025-09-07T06:43:13.7995486Z echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-09-07T06:43:13.7999682Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T06:43:13.7999926Z env: 2025-09-07T06:43:13.8000086Z GIT_DEFAULT_BRANCH: main 2025-09-07T06:43:13.8000277Z DOCKER_BUILD_DIR: .ci/docker 2025-09-07T06:43:13.8000500Z BASE_REVISION: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T06:43:13.8001068Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T06:43:13.8001773Z DOCKER_TAG: pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T06:43:13.8002221Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T06:43:13.8002464Z DOCKER_PUSH: 2025-09-07T06:43:13.8002617Z ##[endgroup] 2025-09-07T06:43:13.8023459Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T06:43:13.8023979Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T06:43:13.8024427Z + aws ecr get-login-password --region us-east-1 2025-09-07T06:43:13.8030294Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T06:43:14.2191612Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-09-07T06:43:14.2192109Z Configure a credential helper to remove this warning. See 2025-09-07T06:43:14.2194995Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-09-07T06:43:14.2195237Z 2025-09-07T06:43:14.2229055Z Login Succeeded 2025-09-07T06:43:14.2245068Z ++ date +%s 2025-09-07T06:43:14.2257402Z + START_TIME=1757227394 2025-09-07T06:43:14.2261869Z ++ date +%s 2025-09-07T06:43:14.2271954Z + [[ 1757220194 -lt 1757227394 ]] 2025-09-07T06:43:14.2272665Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T06:43:14.4526360Z { 2025-09-07T06:43:14.4531211Z "schemaVersion": 2, 2025-09-07T06:43:14.4536114Z "mediaType": "application/vnd.docker.distribution.manifest.v2+json", 2025-09-07T06:43:14.4541133Z "config": { 2025-09-07T06:43:14.4545911Z "mediaType": "application/vnd.docker.container.image.v1+json", 2025-09-07T06:43:14.4546228Z + exit 0 2025-09-07T06:43:14.4547792Z "size": 30269, 2025-09-07T06:43:14.4548250Z "digest": "sha256:662d8c9dfc7db2f5d004293de4f2b7647941dee4c916479ef082d17fcdfd9c47" 2025-09-07T06:43:14.4554724Z }, 2025-09-07T06:43:14.4558778Z "layers": [ 2025-09-07T06:43:14.4560702Z { 2025-09-07T06:43:14.4561035Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T06:43:14.4561331Z "size": 30448359, 2025-09-07T06:43:14.4561639Z "digest": "sha256:e6fdc8487bfe6d764301ef3634bc6c043841dc3ab05ca14f81e69c0f92562d46" 2025-09-07T06:43:14.4561945Z }, 2025-09-07T06:43:14.4562079Z { 2025-09-07T06:43:14.4562289Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T06:43:14.4562534Z "size": 1554, 2025-09-07T06:43:14.4562794Z "digest": "sha256:18a5ee5b0e2e283bf6d7b9c4c312b0448c75eff1c43446c22c5139a3aeec97fe" 2025-09-07T06:43:14.4563076Z }, 2025-09-07T06:43:14.4563207Z { 2025-09-07T06:43:14.4563411Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T06:43:14.4563665Z "size": 313297813, 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"sha256:7ddca6c4c050460204097ba875dc0fa03eca6265122a18c0b8dc5504152aea53" 2025-09-07T06:43:14.4620344Z }, 2025-09-07T06:43:14.4620484Z { 2025-09-07T06:43:14.4620689Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T06:43:14.4620932Z "size": 1012, 2025-09-07T06:43:14.4621207Z "digest": "sha256:a95e1f2f1aadef03514a7cdbdac1fe83d4eebedbb80df9be868a223f27e1c263" 2025-09-07T06:43:14.4621500Z }, 2025-09-07T06:43:14.4621633Z { 2025-09-07T06:43:14.4621831Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T06:43:14.4622083Z "size": 724, 2025-09-07T06:43:14.4622334Z "digest": "sha256:da63046995a2e510b7146776371a14bff4b31002cc3ef0322e45a3932fba2031" 2025-09-07T06:43:14.4622611Z }, 2025-09-07T06:43:14.4622737Z { 2025-09-07T06:43:14.4622944Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T06:43:14.4623194Z "size": 135, 2025-09-07T06:43:14.4623450Z "digest": "sha256:8085756b0cc0f9588f23a73c27840a5dff48cc18c3a2f0311e4d1ef291855679" 2025-09-07T06:43:14.4623721Z }, 2025-09-07T06:43:14.4623855Z { 2025-09-07T06:43:14.4624109Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T06:43:14.4624386Z "size": 32, 2025-09-07T06:43:14.4624692Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T06:43:14.4624977Z }, 2025-09-07T06:43:14.4625110Z { 2025-09-07T06:43:14.4625324Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T06:43:14.4625559Z "size": 158, 2025-09-07T06:43:14.4625809Z "digest": "sha256:7e9ff0c6f103b18756f01c60b4d57a951660f17bffb1810b330e3ff703caf216" 2025-09-07T06:43:14.4626082Z }, 2025-09-07T06:43:14.4626209Z { 2025-09-07T06:43:14.4626402Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T06:43:14.4626654Z "size": 1369, 2025-09-07T06:43:14.4626905Z "digest": "sha256:a625cbbc05b983aeb4c28702a4a5b65c68191ab1b8d17978f7d98cc17ddf3c52" 2025-09-07T06:43:14.4627178Z }, 2025-09-07T06:43:14.4627298Z { 2025-09-07T06:43:14.4627491Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T06:43:14.4627795Z "size": 32, 2025-09-07T06:43:14.4628037Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T06:43:14.4628296Z }, 2025-09-07T06:43:14.4628424Z { 2025-09-07T06:43:14.4628625Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T06:43:14.4628863Z "size": 136, 2025-09-07T06:43:14.4629098Z "digest": "sha256:4e28486424310870c8d6815524440f17c6e0afe7572eaa173a811b98b4920bed" 2025-09-07T06:43:14.4629367Z }, 2025-09-07T06:43:14.4629497Z { 2025-09-07T06:43:14.4629705Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T06:43:14.4629935Z "size": 380, 2025-09-07T06:43:14.4630185Z "digest": "sha256:5e944f1ed1bef9442f5b1b86225d3958ea8f2f7f4c6aa7b92dc5d0c810c260bc" 2025-09-07T06:43:14.4630450Z }, 2025-09-07T06:43:14.4630613Z { 2025-09-07T06:43:14.4630805Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T06:43:14.4631049Z "size": 32, 2025-09-07T06:43:14.4631293Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T06:43:14.4631564Z }, 2025-09-07T06:43:14.4631683Z { 2025-09-07T06:43:14.4631879Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T06:43:14.4632120Z "size": 104, 2025-09-07T06:43:14.4632367Z "digest": "sha256:41619248f604c60e038a02bfd462af96ee2996b77be5f59f05e9ac5fe4790e5a" 2025-09-07T06:43:14.4632632Z }, 2025-09-07T06:43:14.4632770Z { 2025-09-07T06:43:14.4632963Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T06:43:14.4633197Z "size": 407, 2025-09-07T06:43:14.4633437Z "digest": "sha256:be86f8c4f654b9ae64a20eb7f960e6ce4baa5b46e0a1f5e1312b11492a40bcd4" 2025-09-07T06:43:14.4633713Z }, 2025-09-07T06:43:14.4633839Z { 2025-09-07T06:43:14.4634038Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T06:43:14.4634268Z "size": 32, 2025-09-07T06:43:14.4634515Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T06:43:14.4634782Z }, 2025-09-07T06:43:14.4634909Z { 2025-09-07T06:43:14.4635100Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T06:43:14.4635344Z "size": 109, 2025-09-07T06:43:14.4635595Z "digest": "sha256:ef1340e22a4bc8cf42e1d40961cb32d183cd3da8f0b785b5425c32ee067690c1" 2025-09-07T06:43:14.4635869Z }, 2025-09-07T06:43:14.4635989Z { 2025-09-07T06:43:14.4636189Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T06:43:14.4636435Z "size": 1897, 2025-09-07T06:43:14.4636690Z "digest": "sha256:da8d8b696333cbf6b9f339ab859639c905d6752d7e65fea14c23c3c2dcba553e" 2025-09-07T06:43:14.4636966Z }, 2025-09-07T06:43:14.4637092Z { 2025-09-07T06:43:14.4637289Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T06:43:14.4637532Z "size": 243443118, 2025-09-07T06:43:14.4637790Z "digest": "sha256:386b0c49c4982a821fb6f427fbc7d9c7d2012e97c96a514a9c7a09304e76b935" 2025-09-07T06:43:14.4638071Z }, 2025-09-07T06:43:14.4638208Z { 2025-09-07T06:43:14.4638403Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T06:43:14.4638634Z "size": 106, 2025-09-07T06:43:14.4638895Z "digest": "sha256:2b1d0ea7efe0bf86e86df804d2cddbf83b113fdecd03f3ddfca728da30546f34" 2025-09-07T06:43:14.4639176Z }, 2025-09-07T06:43:14.4639304Z { 2025-09-07T06:43:14.4639497Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T06:43:14.4639744Z "size": 163, 2025-09-07T06:43:14.4640000Z "digest": "sha256:04c04be7408f20625b1bd8454e5a08c91fcf04d4f79ab3ec1b75ae6b1824174d" 2025-09-07T06:43:14.4640286Z }, 2025-09-07T06:43:14.4640412Z { 2025-09-07T06:43:14.4640625Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T06:43:14.4640872Z "size": 7943, 2025-09-07T06:43:14.4641127Z "digest": "sha256:f8690caa3ac5e845f2dcc25ad12815b5c7452285c3838a87c780bd03ecf072a3" 2025-09-07T06:43:14.4641440Z }, 2025-09-07T06:43:14.4641571Z { 2025-09-07T06:43:14.4641777Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T06:43:14.4642022Z "size": 8074, 2025-09-07T06:43:14.4642270Z "digest": "sha256:2908d6baaa6b21331dee5f210472cae0874d22b98b0a35420cad4fd753ed215f" 2025-09-07T06:43:14.4642544Z }, 2025-09-07T06:43:14.4642676Z { 2025-09-07T06:43:14.4642877Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T06:43:14.4643117Z "size": 303, 2025-09-07T06:43:14.4643360Z "digest": "sha256:37e2336101eba2c73995d34431e4fae8782d9e9700c42621777922490b2158ed" 2025-09-07T06:43:14.4643635Z }, 2025-09-07T06:43:14.4643766Z { 2025-09-07T06:43:14.4643964Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T06:43:14.4644214Z "size": 32, 2025-09-07T06:43:14.4644511Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T06:43:14.4644800Z }, 2025-09-07T06:43:14.4644929Z { 2025-09-07T06:43:14.4645138Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T06:43:14.4645468Z "size": 108, 2025-09-07T06:43:14.4645728Z "digest": "sha256:f1ac881fde33994861be4324231269058643168b9aee60c699552d0d92d965da" 2025-09-07T06:43:14.4646023Z }, 2025-09-07T06:43:14.4646165Z { 2025-09-07T06:43:14.4646390Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T06:43:14.4646660Z "size": 54145699, 2025-09-07T06:43:14.4646914Z "digest": "sha256:43b14c67347e2813c5f63e928c14db60dbb35c330ccc865510cf79739d8b78a1" 2025-09-07T06:43:14.4647188Z }, 2025-09-07T06:43:14.4647320Z { 2025-09-07T06:43:14.4647522Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T06:43:14.4647758Z "size": 32, 2025-09-07T06:43:14.4648015Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T06:43:14.4648288Z } 2025-09-07T06:43:14.4648419Z ] 2025-09-07T06:43:14.4648550Z } 2025-09-07T06:43:14.4676149Z ##[group]Run set -eux 2025-09-07T06:43:14.4676351Z set -eux 2025-09-07T06:43:14.4676611Z # It's ok if this steps fails, it would then be an anonymous user like what we used to have 2025-09-07T06:43:14.4677246Z aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token | jq --raw-output '.SecretString' | jq -r .docker_hub_readonly_token | docker login --username pytorchbot --password-stdin || true 2025-09-07T06:43:14.4683183Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T06:43:14.4683417Z env: 2025-09-07T06:43:14.4683570Z GIT_DEFAULT_BRANCH: main 2025-09-07T06:43:14.4683748Z ##[endgroup] 2025-09-07T06:43:14.4714170Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token 2025-09-07T06:43:14.4714670Z + jq --raw-output .SecretString 2025-09-07T06:43:14.4714908Z + jq -r .docker_hub_readonly_token 2025-09-07T06:43:14.4719879Z + docker login --username pytorchbot --password-stdin 2025-09-07T06:43:14.9201922Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-09-07T06:43:14.9202305Z Login Succeeded 2025-09-07T06:43:14.9202560Z Configure a credential helper to remove this warning. See 2025-09-07T06:43:14.9202962Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-09-07T06:43:14.9203211Z 2025-09-07T06:43:14.9280468Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:} 2025-09-07T06:43:14.9280749Z tag=${ECR_DOCKER_IMAGE##*:} 2025-09-07T06:43:14.9281016Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}" 2025-09-07T06:43:14.9285978Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T06:43:14.9286215Z env: 2025-09-07T06:43:14.9286376Z GIT_DEFAULT_BRANCH: main 2025-09-07T06:43:14.9286914Z ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T06:43:14.9287563Z ##[endgroup] 2025-09-07T06:43:14.9312795Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T06:43:14.9351631Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main 2025-09-07T06:43:14.9351886Z with: 2025-09-07T06:43:14.9352364Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T06:43:14.9352921Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T06:43:14.9353157Z env: 2025-09-07T06:43:14.9353303Z GIT_DEFAULT_BRANCH: main 2025-09-07T06:43:14.9353483Z ##[endgroup] 2025-09-07T06:43:14.9369393Z ##[group]Run set -x 2025-09-07T06:43:14.9369578Z set -x 2025-09-07T06:43:14.9369730Z set +e 2025-09-07T06:43:14.9369879Z  2025-09-07T06:43:14.9370021Z login() { 2025-09-07T06:43:14.9370332Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-09-07T06:43:14.9370668Z } 2025-09-07T06:43:14.9370819Z  2025-09-07T06:43:14.9370996Z retry () { 2025-09-07T06:43:14.9371184Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-09-07T06:43:14.9371392Z } 2025-09-07T06:43:14.9371532Z  2025-09-07T06:43:14.9371688Z retry login "${DOCKER_REGISTRY}" 2025-09-07T06:43:14.9371881Z  2025-09-07T06:43:14.9372164Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024') 2025-09-07T06:43:14.9372545Z echo "Compressed size of image in MB: ${IMAGE_SIZE}" 2025-09-07T06:43:14.9372769Z  2025-09-07T06:43:14.9372905Z set -e 2025-09-07T06:43:14.9373119Z # ignore output since only exit code is used for conditional 2025-09-07T06:43:14.9373426Z # only pull docker image if it's not available locally 2025-09-07T06:43:14.9373768Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then 2025-09-07T06:43:14.9374067Z  retry docker pull "${DOCKER_IMAGE}" 2025-09-07T06:43:14.9374262Z fi 2025-09-07T06:43:14.9378247Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T06:43:14.9378505Z env: 2025-09-07T06:43:14.9378656Z GIT_DEFAULT_BRANCH: main 2025-09-07T06:43:14.9379146Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T06:43:14.9379694Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T06:43:14.9379921Z ##[endgroup] 2025-09-07T06:43:14.9400727Z + set +e 2025-09-07T06:43:14.9401144Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T06:43:14.9401555Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T06:43:14.9403625Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T06:43:14.9404050Z + aws ecr get-login-password --region us-east-1 2025-09-07T06:43:15.3544958Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-09-07T06:43:15.3545277Z Login Succeeded 2025-09-07T06:43:15.3547159Z Configure a credential helper to remove this warning. See 2025-09-07T06:43:15.3547566Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-09-07T06:43:15.3570852Z 2025-09-07T06:43:15.3572490Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T06:43:15.3573106Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024' 2025-09-07T06:43:15.5563541Z + IMAGE_SIZE=28579.020259857178 2025-09-07T06:43:15.5563857Z + echo 'Compressed size of image in MB: 28579.020259857178' 2025-09-07T06:43:15.5564099Z + set -e 2025-09-07T06:43:15.5565047Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T06:43:15.5566012Z Compressed size of image in MB: 28579.020259857178 2025-09-07T06:43:15.5684267Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T06:43:15.5685553Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T06:43:15.8714920Z pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77: Pulling from pytorch/ci-image 2025-09-07T06:43:15.8715701Z e6fdc8487bfe: Pulling fs layer 2025-09-07T06:43:15.8715904Z 18a5ee5b0e2e: Pulling fs layer 2025-09-07T06:43:15.8716095Z 572424b92528: Pulling fs layer 2025-09-07T06:43:15.8716289Z 1c35b7d4b67c: Pulling fs layer 2025-09-07T06:43:15.8716513Z 68c20f3c23bb: Pulling fs layer 2025-09-07T06:43:15.8716690Z 7efa39950d32: Pulling fs layer 2025-09-07T06:43:15.8716889Z a10eb16a7271: Pulling fs layer 2025-09-07T06:43:15.8717079Z 7d52cf579654: Pulling fs layer 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2025-09-07T06:53:17.1891616Z be86f8c4f654: Pull complete 2025-09-07T06:53:17.8176108Z ef1340e22a4b: Pull complete 2025-09-07T06:53:18.3391610Z da8d8b696333: Pull complete 2025-09-07T06:53:27.6690889Z 386b0c49c498: Pull complete 2025-09-07T06:53:28.0868028Z 2b1d0ea7efe0: Pull complete 2025-09-07T06:53:28.5164688Z 04c04be7408f: Pull complete 2025-09-07T06:53:29.0475415Z f8690caa3ac5: Pull complete 2025-09-07T06:53:29.5322125Z 2908d6baaa6b: Pull complete 2025-09-07T06:53:29.9318690Z 37e2336101eb: Pull complete 2025-09-07T06:53:30.7028986Z f1ac881fde33: Pull complete 2025-09-07T06:53:33.1447595Z 43b14c67347e: Pull complete 2025-09-07T06:53:33.1844541Z Digest: sha256:383efb45082f20b8c808cb0ba4df693a01359592233f641f1f486911ac320a9a 2025-09-07T06:53:33.1907221Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T06:53:33.1937238Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T06:53:33.1991419Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T06:53:33.1991970Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T06:53:33.2000055Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T06:53:33.2000283Z env: 2025-09-07T06:53:33.2000443Z GIT_DEFAULT_BRANCH: main 2025-09-07T06:53:33.2000626Z ##[endgroup] 2025-09-07T06:53:33.2078062Z Prepare all required actions 2025-09-07T06:53:33.2109072Z ##[group]Run ./.github/actions/get-workflow-job-id 2025-09-07T06:53:33.2109314Z with: 2025-09-07T06:53:33.2109871Z github-token: *** 2025-09-07T06:53:33.2110026Z env: 2025-09-07T06:53:33.2110190Z GIT_DEFAULT_BRANCH: main 2025-09-07T06:53:33.2110379Z ##[endgroup] 2025-09-07T06:53:33.2133527Z ##[group]Run set -eux 2025-09-07T06:53:33.2133711Z set -eux 2025-09-07T06:53:33.2133994Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-09-07T06:53:33.2138145Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T06:53:33.2138372Z env: 2025-09-07T06:53:33.2138523Z GIT_DEFAULT_BRANCH: main 2025-09-07T06:53:33.2139024Z GITHUB_TOKEN: *** 2025-09-07T06:53:33.2139182Z ##[endgroup] 2025-09-07T06:53:33.2162864Z + python3 .github/scripts/get_workflow_job_id.py 17524754606 i-04f70f15c9cb3402f 2025-09-07T06:53:33.8125989Z Setting output job-id=49774397872 2025-09-07T06:53:33.8126640Z Setting output job-name=inductor-cpu-test / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx) 2025-09-07T06:53:33.8248941Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-09-07T06:53:33.8249363Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-09-07T06:53:33.8249883Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 & 2025-09-07T06:53:33.8250355Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}" 2025-09-07T06:53:33.8256646Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T06:53:33.8256904Z env: 2025-09-07T06:53:33.8257053Z GIT_DEFAULT_BRANCH: main 2025-09-07T06:53:33.8257227Z JOB_ID: 49774397872 2025-09-07T06:53:33.8257504Z JOB_NAME: inductor-cpu-test / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx) 2025-09-07T06:53:33.8257807Z WORKFLOW_NAME: inductor 2025-09-07T06:53:33.8257982Z WORKFLOW_RUN_ID: 17524754606 2025-09-07T06:53:33.8258189Z MONITOR_LOG_INTERVAL: 5 2025-09-07T06:53:33.8258364Z MONITOR_DATA_COLLECT_INTERVAL: 1 2025-09-07T06:53:33.8258545Z ##[endgroup] 2025-09-07T06:53:34.0631610Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T06:53:34.2997938Z Collecting psutil==5.9.8 2025-09-07T06:53:34.3355129Z Downloading psutil-5.9.8-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (288 kB) 2025-09-07T06:53:34.4078106Z Collecting dataclasses_json==0.6.7 2025-09-07T06:53:34.4164224Z Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB) 2025-09-07T06:53:34.4387295Z Collecting nvidia-ml-py==11.525.84 2025-09-07T06:53:34.4470369Z Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB) 2025-09-07T06:53:34.5288325Z Collecting marshmallow<4.0.0,>=3.18.0 2025-09-07T06:53:34.5371376Z Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB) 2025-09-07T06:53:34.5570403Z Collecting typing-inspect<1,>=0.4.0 2025-09-07T06:53:34.5654267Z Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB) 2025-09-07T06:53:34.6061674Z Collecting packaging>=17.0 2025-09-07T06:53:34.6149040Z Downloading packaging-25.0-py3-none-any.whl (66 kB) 2025-09-07T06:53:34.6354643Z Collecting mypy-extensions>=0.3.0 2025-09-07T06:53:34.6436908Z Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB) 2025-09-07T06:53:34.6782398Z Collecting typing-extensions>=3.7.4 2025-09-07T06:53:34.6870414Z Downloading typing_extensions-4.15.0-py3-none-any.whl (44 kB) 2025-09-07T06:53:34.7609226Z Installing collected packages: typing-extensions, packaging, mypy-extensions, typing-inspect, marshmallow, psutil, nvidia-ml-py, dataclasses-json 2025-09-07T06:53:34.9998043Z Successfully installed dataclasses-json-0.6.7 marshmallow-3.26.1 mypy-extensions-1.1.0 nvidia-ml-py-11.525.84 packaging-25.0 psutil-5.9.8 typing-extensions-4.15.0 typing-inspect-0.9.0 2025-09-07T06:53:35.1703945Z Prepare all required actions 2025-09-07T06:53:35.1704252Z Getting action download info 2025-09-07T06:53:35.3108252Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-09-07T06:53:35.5406022Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093) 2025-09-07T06:53:35.8396134Z ##[group]Run ./.github/actions/download-build-artifacts 2025-09-07T06:53:35.8396376Z with: 2025-09-07T06:53:35.8396548Z name: linux-jammy-py3.9-gcc11-build 2025-09-07T06:53:35.8396748Z s3-bucket: gha-artifacts 2025-09-07T06:53:35.8396919Z env: 2025-09-07T06:53:35.8397065Z GIT_DEFAULT_BRANCH: main 2025-09-07T06:53:35.8397355Z ##[endgroup] 2025-09-07T06:53:35.8421056Z ##[group]Run seemethere/download-artifact-s3@v4 2025-09-07T06:53:35.8421276Z with: 2025-09-07T06:53:35.8421438Z name: linux-jammy-py3.9-gcc11-build 2025-09-07T06:53:35.8421646Z s3-bucket: gha-artifacts 2025-09-07T06:53:35.8421866Z region: us-east-1 2025-09-07T06:53:35.8422015Z env: 2025-09-07T06:53:35.8422161Z GIT_DEFAULT_BRANCH: main 2025-09-07T06:53:35.8422329Z ##[endgroup] 2025-09-07T06:53:36.2673315Z (node:48132) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-09-07T06:53:36.2673776Z 2025-09-07T06:53:36.2675114Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-09-07T06:53:36.2675726Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-09-07T06:53:36.2676236Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-09-07T06:53:37.6359106Z Found 1 objects with prefix pytorch/pytorch/17524754606/linux-jammy-py3.9-gcc11-build/ 2025-09-07T06:53:37.6359801Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-09-07T06:53:42.3412355Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-09-07T06:53:42.3412768Z Artifact download has finished successfully 2025-09-07T06:53:42.3637867Z ##[group]Run unzip -o artifacts.zip 2025-09-07T06:53:42.3638108Z unzip -o artifacts.zip 2025-09-07T06:53:42.3642795Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T06:53:42.3643025Z env: 2025-09-07T06:53:42.3643183Z GIT_DEFAULT_BRANCH: main 2025-09-07T06:53:42.3643361Z ##[endgroup] 2025-09-07T06:53:42.3708435Z Archive: artifacts.zip 2025-09-07T06:53:42.3708693Z creating: dist/ 2025-09-07T06:53:43.4016769Z inflating: dist/torch-2.9.0a0+git93fb23d-cp39-cp39-linux_x86_64.whl 2025-09-07T06:53:43.4021079Z creating: dist/vision/ 2025-09-07T06:53:43.4090046Z inflating: dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-09-07T06:53:43.4090561Z creating: dist/audio/ 2025-09-07T06:53:43.4120626Z inflating: dist/audio/torchaudio-2.8.0a0+2e30055-cp39-cp39-linux_x86_64.whl 2025-09-07T06:53:43.4122436Z creating: dist/ao/ 2025-09-07T06:53:43.4156642Z inflating: dist/ao/torchao-0.7.0+git51c87b6e-py3-none-any.whl 2025-09-07T06:53:43.4267696Z inflating: dist/.ninja_log 2025-09-07T06:53:43.4272507Z creating: build/custom_test_artifacts/ 2025-09-07T06:53:43.4278294Z creating: 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build/bin/static_runtime_bench 2025-09-07T06:53:48.2469930Z inflating: build/bin/static_runtime_test 2025-09-07T06:53:48.2541160Z inflating: build/bin/Dict_test 2025-09-07T06:53:48.2589022Z inflating: build/bin/Dimname_test 2025-09-07T06:53:48.2653409Z inflating: build/bin/MaybeOwned_test 2025-09-07T06:53:48.2707021Z inflating: build/bin/NamedTensor_test 2025-09-07T06:53:48.2762284Z inflating: build/bin/apply_utils_test 2025-09-07T06:53:48.2819075Z inflating: build/bin/atest 2025-09-07T06:53:48.2879334Z inflating: build/bin/basic 2025-09-07T06:53:48.2933021Z inflating: build/bin/broadcast_test 2025-09-07T06:53:48.2984452Z inflating: build/bin/cpu_allocator_test 2025-09-07T06:53:48.3039180Z inflating: build/bin/cpu_generator_test 2025-09-07T06:53:48.3092364Z inflating: build/bin/cpu_profiling_allocator_test 2025-09-07T06:53:48.3177409Z inflating: build/bin/cpu_rng_test 2025-09-07T06:53:48.3227300Z inflating: build/bin/dlconvertor_test 2025-09-07T06:53:48.3281417Z inflating: 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inflating: build/bin/reportMemoryUsage_test 2025-09-07T06:53:48.4165804Z inflating: build/bin/scalar_tensor_test 2025-09-07T06:53:48.4224394Z inflating: build/bin/scalar_test 2025-09-07T06:53:48.4274738Z inflating: build/bin/StorageUtils_test 2025-09-07T06:53:48.4323730Z inflating: build/bin/stride_properties_test 2025-09-07T06:53:48.4397280Z inflating: build/bin/tensor_iterator_test 2025-09-07T06:53:48.4450106Z inflating: build/bin/test_parallel 2025-09-07T06:53:48.4500884Z inflating: build/bin/thread_init_test 2025-09-07T06:53:48.4553304Z inflating: build/bin/type_ptr_test 2025-09-07T06:53:48.4608354Z inflating: build/bin/type_test 2025-09-07T06:53:48.4661418Z inflating: build/bin/undefined_tensor_test 2025-09-07T06:53:48.4709508Z inflating: build/bin/verify_api_visibility 2025-09-07T06:53:48.4779125Z inflating: build/bin/legacy_vmap_test 2025-09-07T06:53:48.4831183Z inflating: build/bin/weakref_test 2025-09-07T06:53:48.4881219Z inflating: build/bin/wrapdim_test 2025-09-07T06:53:48.4933763Z inflating: build/bin/xla_tensor_test 2025-09-07T06:53:48.4994647Z inflating: build/bin/IListRef_test 2025-09-07T06:53:48.5091427Z inflating: build/bin/List_test 2025-09-07T06:53:48.5154991Z inflating: build/bin/KernelFunction_test 2025-09-07T06:53:48.5269601Z inflating: build/bin/kernel_function_legacy_test 2025-09-07T06:53:48.5367123Z inflating: build/bin/kernel_function_test 2025-09-07T06:53:48.5485453Z inflating: build/bin/kernel_lambda_legacy_test 2025-09-07T06:53:48.5584539Z inflating: build/bin/kernel_lambda_test 2025-09-07T06:53:48.5642761Z inflating: build/bin/kernel_stackbased_test 2025-09-07T06:53:48.5735268Z inflating: build/bin/make_boxed_from_unboxed_functor_test 2025-09-07T06:53:48.5783623Z inflating: build/bin/CppSignature_test 2025-09-07T06:53:48.5838780Z inflating: build/bin/backend_fallback_test 2025-09-07T06:53:48.5886003Z inflating: build/bin/op_allowlist_test 2025-09-07T06:53:48.6165062Z inflating: build/bin/op_registration_test 2025-09-07T06:53:48.6230881Z inflating: build/bin/inline_container_test 2025-09-07T06:53:48.7234481Z inflating: build/bin/test_jit 2025-09-07T06:53:48.7282249Z inflating: build/bin/BackoffTest 2025-09-07T06:53:48.7335374Z inflating: build/bin/FileStoreTest 2025-09-07T06:53:48.7391362Z inflating: build/bin/TCPStoreTest 2025-09-07T06:53:48.7725816Z inflating: build/bin/test_nativert 2025-09-07T06:53:48.7779775Z inflating: build/bin/HashStoreTest 2025-09-07T06:53:48.7843959Z inflating: build/bin/ProcessGroupGlooTest 2025-09-07T06:53:48.7849591Z inflating: build/bin/example_allreduce 2025-09-07T06:53:48.7902089Z inflating: build/bin/test_dist_autograd 2025-09-07T06:53:48.7968669Z inflating: build/bin/test_cpp_rpc 2025-09-07T06:53:48.8987758Z inflating: build/bin/test_api 2025-09-07T06:53:48.8988287Z inflating: build/bin/parallel_benchmark 2025-09-07T06:53:48.9295549Z inflating: build/bin/test_lazy 2025-09-07T06:53:48.9297633Z inflating: build/bin/torch_shm_manager 2025-09-07T06:53:48.9298046Z creating: .additional_ci_files/ 2025-09-07T06:53:48.9377844Z inflating: .additional_ci_files/test-times.json 2025-09-07T06:53:48.9677763Z inflating: .additional_ci_files/test-class-times.json 2025-09-07T06:53:48.9701647Z ##[group]Run rm artifacts.zip 2025-09-07T06:53:48.9701864Z rm artifacts.zip 2025-09-07T06:53:48.9706211Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T06:53:48.9706435Z env: 2025-09-07T06:53:48.9706595Z GIT_DEFAULT_BRANCH: main 2025-09-07T06:53:48.9706790Z ##[endgroup] 2025-09-07T06:53:49.0157809Z ##[group]Run df -H 2025-09-07T06:53:49.0157993Z df -H 2025-09-07T06:53:49.0162480Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T06:53:49.0162727Z env: 2025-09-07T06:53:49.0162905Z GIT_DEFAULT_BRANCH: main 2025-09-07T06:53:49.0163076Z ##[endgroup] 2025-09-07T06:53:49.0201936Z Filesystem Size Used Avail Use% Mounted on 2025-09-07T06:53:49.0202440Z devtmpfs 4.2M 0 4.2M 0% /dev 2025-09-07T06:53:49.0202829Z tmpfs 67G 0 67G 0% /dev/shm 2025-09-07T06:53:49.0203081Z tmpfs 27G 791k 27G 1% /run 2025-09-07T06:53:49.0203791Z /dev/nvme0n1p1 215G 70G 145G 33% / 2025-09-07T06:53:49.0204162Z tmpfs 67G 13k 67G 1% /tmp 2025-09-07T06:53:49.0204394Z /dev/nvme0n1p128 11M 1.4M 9.2M 13% /boot/efi 2025-09-07T06:53:49.0228880Z Prepare all required actions 2025-09-07T06:53:49.0229678Z Getting action download info 2025-09-07T06:53:49.1709356Z ##[group]Run ./.github/actions/download-td-artifacts 2025-09-07T06:53:49.1709614Z with: 2025-09-07T06:53:49.1709756Z env: 2025-09-07T06:53:49.1709902Z GIT_DEFAULT_BRANCH: main 2025-09-07T06:53:49.1710063Z ##[endgroup] 2025-09-07T06:53:49.1864502Z ##[group]Run seemethere/download-artifact-s3@v4 2025-09-07T06:53:49.1864725Z with: 2025-09-07T06:53:49.1864865Z name: td_results 2025-09-07T06:53:49.1865026Z s3-bucket: gha-artifacts 2025-09-07T06:53:49.1865200Z region: us-east-1 2025-09-07T06:53:49.1865341Z env: 2025-09-07T06:53:49.1865481Z GIT_DEFAULT_BRANCH: main 2025-09-07T06:53:49.1865647Z ##[endgroup] 2025-09-07T06:53:49.5176593Z (node:48153) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-09-07T06:53:49.5176913Z 2025-09-07T06:53:49.5177473Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-09-07T06:53:49.5177838Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-09-07T06:53:49.5178163Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-09-07T06:53:49.6214975Z Found 0 objects with prefix pytorch/pytorch/17524754606/td_results/ 2025-09-07T06:53:49.6221320Z Artifact download has finished successfully 2025-09-07T06:53:49.6569173Z ##[group]Run mkdir -p .additional_ci_files 2025-09-07T06:53:49.6569442Z mkdir -p .additional_ci_files 2025-09-07T06:53:49.6569734Z mv td_results.json .additional_ci_files/td_results.json || true 2025-09-07T06:53:49.6574407Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T06:53:49.6574635Z env: 2025-09-07T06:53:49.6574789Z GIT_DEFAULT_BRANCH: main 2025-09-07T06:53:49.6574961Z ##[endgroup] 2025-09-07T06:53:49.6622023Z mv: cannot stat 'td_results.json': No such file or directory 2025-09-07T06:53:49.6745155Z ##[group]Run .github/scripts/parse_ref.py 2025-09-07T06:53:49.6745393Z .github/scripts/parse_ref.py 2025-09-07T06:53:49.6749006Z shell: /usr/bin/bash -e {0} 2025-09-07T06:53:49.6749183Z env: 2025-09-07T06:53:49.6749348Z GIT_DEFAULT_BRANCH: main 2025-09-07T06:53:49.6749507Z ##[endgroup] 2025-09-07T06:53:49.7266122Z Setting output branch=main 2025-09-07T06:53:49.7351971Z Prepare all required actions 2025-09-07T06:53:49.7352256Z Getting action download info 2025-09-07T06:53:49.8619634Z ##[group]Run ./.github/actions/filter-test-configs 2025-09-07T06:53:49.8619866Z with: 2025-09-07T06:53:49.8620275Z github-token: *** 2025-09-07T06:53:49.8621763Z 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"}]} 2025-09-07T06:53:49.8623350Z job-name: inductor-cpu-test / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx) 2025-09-07T06:53:49.8623650Z env: 2025-09-07T06:53:49.8623804Z GIT_DEFAULT_BRANCH: main 2025-09-07T06:53:49.8623971Z ##[endgroup] 2025-09-07T06:53:49.8678485Z ##[group]Run nick-fields/retry@v3.0.0 2025-09-07T06:53:49.8678686Z with: 2025-09-07T06:53:49.8678824Z shell: bash 2025-09-07T06:53:49.8678977Z timeout_minutes: 10 2025-09-07T06:53:49.8679136Z max_attempts: 5 2025-09-07T06:53:49.8679296Z retry_wait_seconds: 30 2025-09-07T06:53:49.8679781Z command: set -eux # PyYAML 6.0 doesn't work with MacOS x86 anymore # This must run on Python-3.7 (AmazonLinux2) so can't use request=3.32.2 python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-09-07T06:53:49.8680293Z polling_interval_seconds: 1 2025-09-07T06:53:49.8680497Z warning_on_retry: true 2025-09-07T06:53:49.8680683Z continue_on_error: false 2025-09-07T06:53:49.8680862Z env: 2025-09-07T06:53:49.8681009Z GIT_DEFAULT_BRANCH: main 2025-09-07T06:53:49.8681352Z GITHUB_TOKEN: *** 2025-09-07T06:53:49.8681520Z ##[endgroup] 2025-09-07T06:53:49.9819709Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-09-07T06:53:50.1531272Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T06:53:50.2851460Z Collecting requests==2.27.1 2025-09-07T06:53:50.2979558Z Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB) 2025-09-07T06:53:50.4944716Z Collecting pyyaml==6.0.2 2025-09-07T06:53:50.4975902Z Downloading PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (737 kB) 2025-09-07T06:53:50.8147427Z Collecting charset-normalizer~=2.0.0 2025-09-07T06:53:50.8183958Z Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB) 2025-09-07T06:53:50.8725535Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (1.25.10) 2025-09-07T06:53:50.8741153Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (2.10) 2025-09-07T06:53:50.9139386Z Collecting certifi>=2017.4.17 2025-09-07T06:53:50.9178076Z Downloading certifi-2025.8.3-py3-none-any.whl (161 kB) 2025-09-07T06:53:50.9933972Z Installing collected packages: charset-normalizer, certifi, requests, pyyaml 2025-09-07T06:53:51.2067018Z Successfully installed certifi-2025.8.3 charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1 2025-09-07T06:53:51.9303392Z Command completed after 1 attempt(s). 2025-09-07T06:53:51.9369395Z ##[group]Run set -x 2025-09-07T06:53:51.9369589Z set -x 2025-09-07T06:53:51.9369744Z  2025-09-07T06:53:51.9369991Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-09-07T06:53:51.9370293Z # in runner workspace 2025-09-07T06:53:51.9370664Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py" 2025-09-07T06:53:51.9374973Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T06:53:51.9375197Z env: 2025-09-07T06:53:51.9375344Z GIT_DEFAULT_BRANCH: main 2025-09-07T06:53:51.9375517Z ##[endgroup] 2025-09-07T06:53:51.9399202Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py 2025-09-07T06:53:51.9543645Z Setting output branch=main 2025-09-07T06:53:51.9597025Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}" 2025-09-07T06:53:51.9597298Z echo "Workflow: ${GITHUB_WORKFLOW}" 2025-09-07T06:53:51.9597509Z echo "Job name: ${JOB_NAME}" 2025-09-07T06:53:51.9597694Z  2025-09-07T06:53:51.9597927Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-09-07T06:53:51.9598249Z # in runner workspace 2025-09-07T06:53:51.9598532Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \ 2025-09-07T06:53:51.9598825Z  --workflow "${GITHUB_WORKFLOW}" \ 2025-09-07T06:53:51.9599033Z  --job-name "${JOB_NAME}" \ 2025-09-07T06:53:51.9600563Z  --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"}]}" \ 2025-09-07T06:53:51.9602089Z  --selected-test-configs "" \ 2025-09-07T06:53:51.9602305Z  --pr-number "${PR_NUMBER}" \ 2025-09-07T06:53:51.9602511Z  --tag "${TAG}" \ 2025-09-07T06:53:51.9602699Z  --event-name "${EVENT_NAME}" \ 2025-09-07T06:53:51.9602909Z  --schedule "${SCHEDULE}" \ 2025-09-07T06:53:51.9603113Z  --branch "${HEAD_BRANCH}" 2025-09-07T06:53:51.9608024Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T06:53:51.9608255Z env: 2025-09-07T06:53:51.9608401Z GIT_DEFAULT_BRANCH: main 2025-09-07T06:53:51.9608971Z GITHUB_TOKEN: *** 2025-09-07T06:53:51.9609277Z JOB_NAME: inductor-cpu-test / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx) 2025-09-07T06:53:51.9609591Z PR_NUMBER: 2025-09-07T06:53:51.9609742Z TAG: 2025-09-07T06:53:51.9610052Z EVENT_NAME: push 2025-09-07T06:53:51.9610220Z SCHEDULE: 2025-09-07T06:53:51.9610378Z HEAD_BRANCH: main 2025-09-07T06:53:51.9610543Z ##[endgroup] 2025-09-07T06:53:51.9639791Z Workflow: inductor 2025-09-07T06:53:51.9640317Z Job name: inductor-cpu-test / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx) 2025-09-07T06:53:52.1135783Z Setting output keep-going=True 2025-09-07T06:53:52.1138312Z Setting output ci-verbose-test-logs=False 2025-09-07T06:53:52.1138636Z Setting output ci-test-showlocals=False 2025-09-07T06:53:52.1143792Z Setting output ci-no-test-timeout=False 2025-09-07T06:53:52.1145691Z Setting output ci-no-td=False 2025-09-07T06:53:52.1146107Z Setting output ci-td-distributed=False 2025-09-07T06:53:52.1148966Z Setting output is-unstable=False 2025-09-07T06:53:52.1149336Z Setting output reenabled-issues= 2025-09-07T06:53:52.1157386Z 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"}]} 2025-09-07T06:53:52.1159055Z Setting output is-test-matrix-empty=False 2025-09-07T06:53:52.1265746Z ##[group]Run echo "Filtered matrix:" 2025-09-07T06:53:52.1265988Z echo "Filtered matrix:" 2025-09-07T06:53:52.1267531Z 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"}]}" 2025-09-07T06:53:52.1269131Z  2025-09-07T06:53:52.1269285Z echo 2025-09-07T06:53:52.1269477Z echo "Is the current job unstable? False" 2025-09-07T06:53:52.1269705Z  2025-09-07T06:53:52.1269853Z echo 2025-09-07T06:53:52.1270036Z echo "Is keep-going label set? True" 2025-09-07T06:53:52.1270244Z  2025-09-07T06:53:52.1270396Z echo 2025-09-07T06:53:52.1270566Z echo "Reenabled issues? " 2025-09-07T06:53:52.1275093Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T06:53:52.1275317Z env: 2025-09-07T06:53:52.1275470Z GIT_DEFAULT_BRANCH: main 2025-09-07T06:53:52.1275646Z ##[endgroup] 2025-09-07T06:53:52.1298853Z Filtered matrix: 2025-09-07T06:53:52.1300404Z {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}]} 2025-09-07T06:53:52.1302046Z 2025-09-07T06:53:52.1302128Z Is the current job unstable? False 2025-09-07T06:53:52.1302263Z 2025-09-07T06:53:52.1302341Z Is keep-going label set? True 2025-09-07T06:53:52.1302461Z 2025-09-07T06:53:52.1302539Z Reenabled issues? 2025-09-07T06:53:52.1344558Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-09-07T06:53:52.1344890Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-09-07T06:53:52.1348805Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T06:53:52.1349042Z env: 2025-09-07T06:53:52.1349197Z GIT_DEFAULT_BRANCH: main 2025-09-07T06:53:52.1349374Z JOB_TIMEOUT: 240 2025-09-07T06:53:52.1349542Z ##[endgroup] 2025-09-07T06:53:52.1397626Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T06:53:52.1397968Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T06:53:52.1398250Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T06:53:52.1401944Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T06:53:52.1402173Z env: 2025-09-07T06:53:52.1402318Z GIT_DEFAULT_BRANCH: main 2025-09-07T06:53:52.1402495Z ##[endgroup] 2025-09-07T06:53:52.1499179Z ##[group]Run set -x 2025-09-07T06:53:52.1499427Z set -x 2025-09-07T06:53:52.1499579Z  2025-09-07T06:53:52.1499758Z if [[ $TEST_CONFIG == 'multigpu' ]]; then 2025-09-07T06:53:52.1500016Z  TEST_COMMAND=.ci/pytorch/multigpu-test.sh 2025-09-07T06:53:52.1500267Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then 2025-09-07T06:53:52.1500489Z  TEST_COMMAND=.ci/onnx/test.sh 2025-09-07T06:53:52.1500687Z else 2025-09-07T06:53:52.1500888Z  TEST_COMMAND=.ci/pytorch/test.sh 2025-09-07T06:53:52.1501082Z fi 2025-09-07T06:53:52.1501216Z  2025-09-07T06:53:52.1501390Z # Leaving 1GB for the runner and other things 2025-09-07T06:53:52.1501730Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo) 2025-09-07T06:53:52.1502245Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap 2025-09-07T06:53:52.1502639Z # comes from https://github.com/pytorch/test-infra/pull/6058 2025-09-07T06:53:52.1502950Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3)) 2025-09-07T06:53:52.1503195Z  2025-09-07T06:53:52.1503371Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-09-07T06:53:52.1503576Z  SHM_OPTS= 2025-09-07T06:53:52.1503742Z  JENKINS_USER= 2025-09-07T06:53:52.1503963Z  # ensure that docker container cleanly exits in 12 hours 2025-09-07T06:53:52.1504247Z  # if for some reason cleanup action doesn't stop container 2025-09-07T06:53:52.1504485Z  # when job is cancelled 2025-09-07T06:53:52.1504677Z  DOCKER_SHELL_CMD="sleep 12h" 2025-09-07T06:53:52.1504870Z else 2025-09-07T06:53:52.1505046Z  SHM_OPTS="--shm-size=${SHM_SIZE}" 2025-09-07T06:53:52.1505263Z  JENKINS_USER="--user jenkins" 2025-09-07T06:53:52.1505473Z  DOCKER_SHELL_CMD= 2025-09-07T06:53:52.1505645Z fi 2025-09-07T06:53:52.1505786Z  2025-09-07T06:53:52.1505995Z # detached container should get cleaned up by teardown_ec2_linux 2025-09-07T06:53:52.1506294Z # TODO: Stop building test binaries as part of the build phase 2025-09-07T06:53:52.1506642Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice 2025-09-07T06:53:52.1506946Z # shellcheck disable=SC2086,SC2090 2025-09-07T06:53:52.1507251Z container_name=$(docker run \ 2025-09-07T06:53:52.1507449Z  ${GPU_FLAG:-} \ 2025-09-07T06:53:52.1507635Z  ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \ 2025-09-07T06:53:52.1507848Z  -e BUILD_ENVIRONMENT \ 2025-09-07T06:53:52.1508041Z  -e PR_NUMBER \ 2025-09-07T06:53:52.1508221Z  -e GITHUB_ACTIONS \ 2025-09-07T06:53:52.1508401Z  -e GITHUB_REPOSITORY \ 2025-09-07T06:53:52.1508592Z  -e GITHUB_WORKFLOW \ 2025-09-07T06:53:52.1508774Z  -e GITHUB_JOB \ 2025-09-07T06:53:52.1508946Z  -e GITHUB_RUN_ID \ 2025-09-07T06:53:52.1509117Z  -e GITHUB_RUN_NUMBER \ 2025-09-07T06:53:52.1509305Z  -e GITHUB_RUN_ATTEMPT \ 2025-09-07T06:53:52.1509490Z  -e JOB_ID \ 2025-09-07T06:53:52.1509657Z  -e JOB_NAME \ 2025-09-07T06:53:52.1509820Z  -e BASE_SHA \ 2025-09-07T06:53:52.1509985Z  -e BRANCH \ 2025-09-07T06:53:52.1510146Z  -e SHA1 \ 2025-09-07T06:53:52.1510311Z  -e AWS_DEFAULT_REGION \ 2025-09-07T06:53:52.1510492Z  -e IN_WHEEL_TEST \ 2025-09-07T06:53:52.1510670Z  -e SHARD_NUMBER \ 2025-09-07T06:53:52.1510847Z  -e TEST_CONFIG \ 2025-09-07T06:53:52.1511025Z  -e NUM_TEST_SHARDS \ 2025-09-07T06:53:52.1511206Z  -e REENABLED_ISSUES \ 2025-09-07T06:53:52.1511399Z  -e CONTINUE_THROUGH_ERROR \ 2025-09-07T06:53:52.1511664Z  -e VERBOSE_TEST_LOGS \ 2025-09-07T06:53:52.1511853Z  -e TEST_SHOWLOCALS \ 2025-09-07T06:53:52.1512027Z  -e NO_TEST_TIMEOUT \ 2025-09-07T06:53:52.1512200Z  -e NO_TD \ 2025-09-07T06:53:52.1512364Z  -e TD_DISTRIBUTED \ 2025-09-07T06:53:52.1512540Z  -e PR_LABELS \ 2025-09-07T06:53:52.1512732Z  -e MAX_JOBS="$(nproc --ignore=2)" \ 2025-09-07T06:53:52.1512927Z  -e SCCACHE_BUCKET \ 2025-09-07T06:53:52.1513109Z  -e SCCACHE_REGION \ 2025-09-07T06:53:52.1513285Z  -e XLA_CUDA \ 2025-09-07T06:53:52.1513472Z  -e XLA_CLANG_CACHE_S3_BUCKET_NAME \ 2025-09-07T06:53:52.1513686Z  -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \ 2025-09-07T06:53:52.1513914Z  -e PYTORCH_TEST_RERUN_DISABLED_TESTS \ 2025-09-07T06:53:52.1514142Z  -e SKIP_SCCACHE_INITIALIZATION=1 \ 2025-09-07T06:53:52.1514622Z  -e HUGGING_FACE_HUB_TOKEN \ 2025-09-07T06:53:52.1514840Z  -e VLLM_TEST_HUGGING_FACE_TOKEN \ 2025-09-07T06:53:52.1515061Z  -e SCRIBE_GRAPHQL_ACCESS_TOKEN \ 2025-09-07T06:53:52.1515267Z  -e DASHBOARD_TAG \ 2025-09-07T06:53:52.1515460Z  -e ARTIFACTS_FILE_SUFFIX \ 2025-09-07T06:53:52.1515697Z  --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \ 2025-09-07T06:53:52.1515953Z  --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \ 2025-09-07T06:53:52.1516205Z  --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \ 2025-09-07T06:53:52.1516451Z  --security-opt seccomp=unconfined \ 2025-09-07T06:53:52.1516662Z  --cap-add=SYS_PTRACE \ 2025-09-07T06:53:52.1516847Z  --ipc=host \ 2025-09-07T06:53:52.1517018Z  ${SHM_OPTS} \ 2025-09-07T06:53:52.1517183Z  --tty \ 2025-09-07T06:53:52.1517344Z  --detach \ 2025-09-07T06:53:52.1517514Z  --name="${container_name}" \ 2025-09-07T06:53:52.1517712Z  ${JENKINS_USER} \ 2025-09-07T06:53:52.1517940Z  -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \ 2025-09-07T06:53:52.1518185Z  -w /var/lib/jenkins/workspace \ 2025-09-07T06:53:52.1518379Z  "${DOCKER_IMAGE}" \ 2025-09-07T06:53:52.1518563Z  ${DOCKER_SHELL_CMD} 2025-09-07T06:53:52.1518736Z ) 2025-09-07T06:53:52.1518931Z # Propagate download.pytorch.org IP to container 2025-09-07T06:53:52.1519316Z grep download.pytorch.org /etc/hosts | docker exec -i "${container_name}" sudo bash -c "/bin/cat >> /etc/hosts" 2025-09-07T06:53:52.1519800Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}" 2025-09-07T06:53:52.1520050Z  2025-09-07T06:53:52.1520233Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-09-07T06:53:52.1520583Z  docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt" 2025-09-07T06:53:52.1520886Z fi 2025-09-07T06:53:52.1521039Z  2025-09-07T06:53:52.1521351Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}" 2025-09-07T06:53:52.1525530Z shell: /usr/bin/bash -e {0} 2025-09-07T06:53:52.1525720Z env: 2025-09-07T06:53:52.1525892Z GIT_DEFAULT_BRANCH: main 2025-09-07T06:53:52.1526126Z BUILD_ENVIRONMENT: linux-jammy-py3.9-gcc11-build 2025-09-07T06:53:52.1526368Z PR_NUMBER: 2025-09-07T06:53:52.1526543Z GITHUB_REPOSITORY: pytorch/pytorch 2025-09-07T06:53:52.1526768Z GITHUB_WORKFLOW: inductor 2025-09-07T06:53:52.1526953Z GITHUB_JOB: test 2025-09-07T06:53:52.1527128Z GITHUB_RUN_ID: 17524754606 2025-09-07T06:53:52.1527323Z GITHUB_RUN_NUMBER: 152138 2025-09-07T06:53:52.1527489Z GITHUB_RUN_ATTEMPT: 1 2025-09-07T06:53:52.1527656Z JOB_ID: 49774397872 2025-09-07T06:53:52.1527940Z JOB_NAME: inductor-cpu-test / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx) 2025-09-07T06:53:52.1528242Z BRANCH: main 2025-09-07T06:53:52.1528501Z SHA1: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T06:53:52.1528744Z BASE_SHA: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T06:53:52.1528979Z TEST_CONFIG: dynamic_cpu_inductor_torchbench 2025-09-07T06:53:52.1529183Z SHARD_NUMBER: 1 2025-09-07T06:53:52.1529335Z NUM_TEST_SHARDS: 2 2025-09-07T06:53:52.1529501Z REENABLED_ISSUES: 2025-09-07T06:53:52.1529671Z CONTINUE_THROUGH_ERROR: True 2025-09-07T06:53:52.1529858Z VERBOSE_TEST_LOGS: False 2025-09-07T06:53:52.1530027Z TEST_SHOWLOCALS: False 2025-09-07T06:53:52.1530207Z NO_TEST_TIMEOUT: False 2025-09-07T06:53:52.1530372Z NO_TD: False 2025-09-07T06:53:52.1530525Z TD_DISTRIBUTED: False 2025-09-07T06:53:52.1530723Z SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2 2025-09-07T06:53:52.1530952Z SCCACHE_REGION: us-east-1 2025-09-07T06:53:52.1531121Z SHM_SIZE: 1g 2025-09-07T06:53:52.1531618Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T06:53:52.1532122Z XLA_CUDA: 2025-09-07T06:53:52.1532349Z XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla 2025-09-07T06:53:52.1532632Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0 2025-09-07T06:53:52.1532844Z PYTORCH_TEST_RERUN_DISABLED_TESTS: 0 2025-09-07T06:53:52.1533035Z DASHBOARD_TAG: 2025-09-07T06:53:52.1533366Z VLLM_TEST_HUGGING_FACE_TOKEN: *** 2025-09-07T06:53:52.1533629Z HUGGING_FACE_HUB_TOKEN: *** 2025-09-07T06:53:52.1533882Z SCRIBE_GRAPHQL_ACCESS_TOKEN: *** 2025-09-07T06:53:52.1534198Z ARTIFACTS_FILE_SUFFIX: test-dynamic_cpu_inductor_torchbench-1-2-linux.8xlarge.amx_49774397872 2025-09-07T06:53:52.1534508Z ##[endgroup] 2025-09-07T06:53:52.1554922Z + [[ dynamic_cpu_inductor_torchbench == \m\u\l\t\i\g\p\u ]] 2025-09-07T06:53:52.1555317Z + [[ linux-jammy-py3.9-gcc11-build == *onnx* ]] 2025-09-07T06:53:52.1560095Z + TEST_COMMAND=.ci/pytorch/test.sh 2025-09-07T06:53:52.1560413Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo 2025-09-07T06:53:52.1578665Z + TOTAL_AVAILABLE_MEMORY_IN_GB='122.780 ' 2025-09-07T06:53:52.1582701Z + TOTAL_MEMORY_WITH_SWAP=125 2025-09-07T06:53:52.1583140Z + [[ linux-jammy-py3.9-gcc11-build == *\s\3\9\0\x* ]] 2025-09-07T06:53:52.1583514Z + SHM_OPTS=--shm-size=1g 2025-09-07T06:53:52.1583808Z + JENKINS_USER='--user jenkins' 2025-09-07T06:53:52.1584115Z + DOCKER_SHELL_CMD= 2025-09-07T06:53:52.1584792Z +++ nproc --ignore=2 2025-09-07T06:53:52.1624913Z ++ 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=30 -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=122g --memory-swap=125g --env-file=/tmp/github_env_17524754606 --security-opt seccomp=unconfined --cap-add=SYS_PTRACE --ipc=host --shm-size=1g --tty --detach --name= --user jenkins -v /home/ec2-user/actions-runner/_work/pytorch/pytorch:/var/lib/jenkins/workspace -w /var/lib/jenkins/workspace 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T06:54:05.1241715Z + container_name=cf65f5c8b8a3299d2e8266398840c9df6d545a199d8c89c84814e64c14c562bf 2025-09-07T06:54:05.1243700Z + grep download.pytorch.org /etc/hosts 2025-09-07T06:54:05.1245128Z + docker exec -i cf65f5c8b8a3299d2e8266398840c9df6d545a199d8c89c84814e64c14c562bf sudo bash -c '/bin/cat >> /etc/hosts' 2025-09-07T06:54:05.2099129Z + echo DOCKER_CONTAINER_ID=cf65f5c8b8a3299d2e8266398840c9df6d545a199d8c89c84814e64c14c562bf 2025-09-07T06:54:05.2099840Z + [[ linux-jammy-py3.9-gcc11-build == *\s\3\9\0\x* ]] 2025-09-07T06:54:05.2105192Z ++ echo dist/torch-2.9.0a0+git93fb23d-cp39-cp39-linux_x86_64.whl 2025-09-07T06:54:05.2105936Z + docker exec -t cf65f5c8b8a3299d2e8266398840c9df6d545a199d8c89c84814e64c14c562bf sh -c 'python3 -m pip install dist/torch-2.9.0a0+git93fb23d-cp39-cp39-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh' 2025-09-07T06:54:05.5328682Z Processing ./dist/torch-2.9.0a0+git93fb23d-cp39-cp39-linux_x86_64.whl (from torch==2.9.0a0+git93fb23d) 2025-09-07T06:54:05.7385012Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (3.19.1) 2025-09-07T06:54:05.7385834Z Requirement already satisfied: typing-extensions>=4.10.0 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (4.15.0) 2025-09-07T06:54:05.7389196Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (1.13.3) 2025-09-07T06:54:05.7395588Z Requirement already satisfied: networkx>=2.5.1 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (2.8.8) 2025-09-07T06:54:05.7396337Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (3.1.6) 2025-09-07T06:54:05.7401125Z Requirement already satisfied: fsspec>=0.8.5 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (2025.3.0) 2025-09-07T06:54:05.7409154Z Requirement already satisfied: opt-einsum>=3.3 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (3.3.0) 2025-09-07T06:54:05.7684352Z Requirement already satisfied: numpy>=1.7 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from opt-einsum>=3.3->torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (1.22.4) 2025-09-07T06:54:05.7705384Z Requirement already satisfied: mpmath<1.4,>=1.1.0 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from sympy>=1.13.3->torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (1.3.0) 2025-09-07T06:54:05.7734139Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from jinja2->torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (3.0.2) 2025-09-07T06:54:06.4955142Z Installing collected packages: torch 2025-09-07T06:54:13.2497632Z ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts. 2025-09-07T06:54:13.2498317Z dall-e 0.1 requires torchvision, which is not installed. 2025-09-07T06:54:13.2501635Z effdet 0.4.1 requires torchvision, which is not installed. 2025-09-07T06:54:13.2508091Z pytorch-labs-segment-anything-fast 0.2 requires torchao, which is not installed. 2025-09-07T06:54:13.2510566Z pytorch-labs-segment-anything-fast 0.2 requires torchvision>=0.17.0.dev20231026, which is not installed. 2025-09-07T06:54:13.2511282Z timm 1.0.14 requires torchvision, which is not installed. 2025-09-07T06:54:13.2514809Z Successfully installed torch-2.9.0a0+git93fb23d 2025-09-07T06:54:13.3451538Z + export TERM=vt100 2025-09-07T06:54:13.3456604Z + TERM=vt100 2025-09-07T06:54:13.3460868Z ++ dirname .ci/pytorch/test.sh 2025-09-07T06:54:13.3468514Z + source .ci/pytorch/common.sh 2025-09-07T06:54:13.3470735Z +++ dirname .ci/pytorch/common.sh 2025-09-07T06:54:13.3473512Z ++ source .ci/pytorch/common_utils.sh 2025-09-07T06:54:13.3473935Z +++ declare -f -t trap_add 2025-09-07T06:54:13.3484066Z ++ set -ex -o pipefail 2025-09-07T06:54:13.3484496Z ++ [[ linux-jammy-py3.9-gcc11-build == *rocm* ]] 2025-09-07T06:54:13.3485164Z ++ BUILD_TEST_LIBTORCH=0 2025-09-07T06:54:13.3499403Z ++ dirname .ci/pytorch/test.sh 2025-09-07T06:54:13.3499676Z + source .ci/pytorch/common-build.sh 2025-09-07T06:54:13.3502749Z ++ [[ linux-jammy-py3.9-gcc11-build != *win-* ]] 2025-09-07T06:54:13.3514667Z ++++ dirname .ci/pytorch/common-build.sh 2025-09-07T06:54:13.3523590Z +++ cd .ci/pytorch 2025-09-07T06:54:13.3523837Z +++ pwd -P 2025-09-07T06:54:13.3524067Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch 2025-09-07T06:54:13.3524400Z ++ [[ linux-jammy-py3.9-gcc11-build == *-pch* ]] 2025-09-07T06:54:13.3524649Z ++ which sccache 2025-09-07T06:54:13.3544400Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]] 2025-09-07T06:54:13.3544709Z ++ sccache --stop-server 2025-09-07T06:54:13.3565524Z ++ true 2025-09-07T06:54:13.3565763Z ++ rm -f /var/lib/jenkins/sccache_error.log 2025-09-07T06:54:13.3580205Z ++ trap_add sccache_epilogue EXIT 2025-09-07T06:54:13.3580491Z ++ trap_add_cmd=sccache_epilogue 2025-09-07T06:54:13.3580708Z ++ shift 2025-09-07T06:54:13.3580908Z ++ for trap_add_name in "$@" 2025-09-07T06:54:13.3585697Z ++++ trap -p EXIT 2025-09-07T06:54:13.3594783Z +++ eval 'extract_trap_cmd ' 2025-09-07T06:54:13.3595055Z ++++ extract_trap_cmd 2025-09-07T06:54:13.3595250Z ++++ printf '%s\n' '' 2025-09-07T06:54:13.3595436Z +++ printf '%s\n' sccache_epilogue 2025-09-07T06:54:13.3595652Z ++ trap -- ' 2025-09-07T06:54:13.3595826Z sccache_epilogue' EXIT 2025-09-07T06:54:13.3596036Z ++ [[ -n 1 ]] 2025-09-07T06:54:13.3596315Z ++ echo 'Skipping sccache server initialization, setting environment variables' 2025-09-07T06:54:13.3596727Z Skipping sccache server initialization, setting environment variables 2025-09-07T06:54:13.3597019Z ++ export SCCACHE_IDLE_TIMEOUT=0 2025-09-07T06:54:13.3597224Z ++ SCCACHE_IDLE_TIMEOUT=0 2025-09-07T06:54:13.3597470Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T06:54:13.3597775Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T06:54:13.3598079Z ++ export RUST_LOG=sccache::server=error 2025-09-07T06:54:13.3598305Z ++ RUST_LOG=sccache::server=error 2025-09-07T06:54:13.3598515Z ++ sccache --zero-stats 2025-09-07T06:54:13.4978099Z Statistics zeroed. 2025-09-07T06:54:13.4981332Z ++ which ccache 2025-09-07T06:54:13.5005165Z + [[ linux-jammy-py3.9-gcc11-build != *rocm* ]] 2025-09-07T06:54:13.5005625Z + [[ linux-jammy-py3.9-gcc11-build != *s390x* ]] 2025-09-07T06:54:13.5005904Z + [[ -d /var/lib/jenkins/workspace ]] 2025-09-07T06:54:13.5006144Z ++ stat -c %u /var/lib/jenkins/workspace 2025-09-07T06:54:13.5023880Z + WORKSPACE_ORIGINAL_OWNER_ID=1000 2025-09-07T06:54:13.5024310Z + trap_add cleanup_workspace EXIT 2025-09-07T06:54:13.5024655Z + trap_add_cmd=cleanup_workspace 2025-09-07T06:54:13.5025014Z + shift 2025-09-07T06:54:13.5025305Z + for trap_add_name in "$@" 2025-09-07T06:54:13.5033272Z +++ trap -p EXIT 2025-09-07T06:54:13.5033555Z ++ eval 'extract_trap_cmd trap -- '\'' 2025-09-07T06:54:13.5033802Z sccache_epilogue'\'' EXIT' 2025-09-07T06:54:13.5034003Z +++ extract_trap_cmd trap -- ' 2025-09-07T06:54:13.5034218Z sccache_epilogue' EXIT 2025-09-07T06:54:13.5034397Z +++ printf '%s\n' ' 2025-09-07T06:54:13.5034561Z sccache_epilogue' 2025-09-07T06:54:13.5034746Z ++ printf '%s\n' cleanup_workspace 2025-09-07T06:54:13.5034951Z + trap -- ' 2025-09-07T06:54:13.5035110Z sccache_epilogue 2025-09-07T06:54:13.5035275Z cleanup_workspace' EXIT 2025-09-07T06:54:13.5035494Z + sudo chown -R jenkins /var/lib/jenkins/workspace 2025-09-07T06:54:13.9077635Z + git config --global --add safe.directory /var/lib/jenkins/workspace 2025-09-07T06:54:13.9084760Z + echo 'Environment variables:' 2025-09-07T06:54:13.9085178Z Environment variables: 2025-09-07T06:54:13.9085593Z + env 2025-09-07T06:54:13.9094271Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-09-07T06:54:13.9098090Z CONTINUE_THROUGH_ERROR=True 2025-09-07T06:54:13.9098460Z BUILD_ENVIRONMENT=linux-jammy-py3.9-gcc11-build 2025-09-07T06:54:13.9103193Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-09-07T06:54:13.9105212Z HOSTNAME=cf65f5c8b8a3 2025-09-07T06:54:13.9105833Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_a8aa5a87-3b45-4061-a982-984efed43afc 2025-09-07T06:54:13.9106270Z GITHUB_ACTION=__run_2 2025-09-07T06:54:13.9106462Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-09-07T06:54:13.9106675Z GITHUB_RUN_NUMBER=152138 2025-09-07T06:54:13.9106876Z TEST_CONFIG=dynamic_cpu_inductor_torchbench 2025-09-07T06:54:13.9107105Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-09-07T06:54:13.9107330Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-09-07T06:54:13.9107547Z SCCACHE_IDLE_TIMEOUT=0 2025-09-07T06:54:13.9107831Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-09-07T06:54:13.9108039Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-09-07T06:54:13.9108237Z GITHUB_REF_TYPE=branch 2025-09-07T06:54:13.9108435Z BASE_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T06:54:13.9108639Z XLA_CUDA= 2025-09-07T06:54:13.9108798Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-09-07T06:54:13.9109062Z HUGGING_FACE_HUB_TOKEN=*** 2025-09-07T06:54:13.9124907Z *** 2025-09-07T06:54:13.9125137Z GITHUB_REPOSITORY_ID=65600975 2025-09-07T06:54:13.9125503Z GITHUB_ACTIONS=true 2025-09-07T06:54:13.9125729Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T06:54:13.9126019Z SHA1=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T06:54:13.9126301Z GITHUB_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T06:54:13.9126618Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor.yml@refs/heads/main 2025-09-07T06:54:13.9126911Z UCC_HOME=/usr 2025-09-07T06:54:13.9127075Z VERBOSE_TEST_LOGS=False 2025-09-07T06:54:13.9127260Z GITHUB_REF=refs/heads/main 2025-09-07T06:54:13.9127424Z SHARD_NUMBER=1 2025-09-07T06:54:13.9127584Z GITHUB_REF_PROTECTED=true 2025-09-07T06:54:13.9127758Z HOME=/var/lib/jenkins 2025-09-07T06:54:13.9127948Z GITHUB_API_URL=https://api.github.com 2025-09-07T06:54:13.9128154Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-09-07T06:54:13.9128339Z UCX_COMMIT= 2025-09-07T06:54:13.9128483Z USE_SYSTEM_NCCL=1 2025-09-07T06:54:13.9128638Z NUM_TEST_SHARDS=2 2025-09-07T06:54:13.9128784Z UCX_HOME=/usr 2025-09-07T06:54:13.9129125Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_a8aa5a87-3b45-4061-a982-984efed43afc 2025-09-07T06:54:13.9129604Z JOB_NAME=inductor-cpu-test / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx) 2025-09-07T06:54:13.9130067Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_a8aa5a87-3b45-4061-a982-984efed43afc 2025-09-07T06:54:13.9130514Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-09-07T06:54:13.9130973Z GITHUB_EVENT_NAME=push 2025-09-07T06:54:13.9131143Z DASHBOARD_TAG= 2025-09-07T06:54:13.9131303Z GITHUB_RUN_ID=17524754606 2025-09-07T06:54:13.9131476Z INSTALLED_OPENBLAS= 2025-09-07T06:54:13.9131828Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_a8aa5a87-3b45-4061-a982-984efed43afc 2025-09-07T06:54:13.9132204Z GITHUB_ACTOR=pytorchmergebot 2025-09-07T06:54:13.9132379Z PR_NUMBER= 2025-09-07T06:54:13.9132523Z DESIRED_CUDA= 2025-09-07T06:54:13.9132665Z GITHUB_RUN_ATTEMPT=1 2025-09-07T06:54:13.9132835Z ANACONDA_PYTHON_VERSION=3.9 2025-09-07T06:54:13.9133046Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-09-07T06:54:13.9133251Z TERM=vt100 2025-09-07T06:54:13.9133385Z INSTALLED_VISION=yes 2025-09-07T06:54:13.9133537Z BRANCH=main 2025-09-07T06:54:13.9133683Z SCCACHE_REGION=us-east-1 2025-09-07T06:54:13.9133859Z OPENSSL_ROOT_DIR=/opt/openssl 2025-09-07T06:54:13.9134034Z CUDA_PATH=/usr/local/cuda 2025-09-07T06:54:13.9134339Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-09-07T06:54:13.9134672Z GITHUB_SERVER_URL=https://github.com 2025-09-07T06:54:13.9134862Z UCC_COMMIT= 2025-09-07T06:54:13.9134997Z REENABLED_ISSUES= 2025-09-07T06:54:13.9135148Z DOCS=yes 2025-09-07T06:54:13.9135284Z SHLVL=1 2025-09-07T06:54:13.9135415Z MAX_JOBS=30 2025-09-07T06:54:13.9135560Z GITHUB_ACTOR_ID=97764156 2025-09-07T06:54:13.9135846Z GITHUB_WORKFLOW_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T06:54:13.9136078Z GITHUB_REF_NAME=main 2025-09-07T06:54:13.9136312Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-09-07T06:54:13.9136563Z GITHUB_JOB=test 2025-09-07T06:54:13.9136716Z NO_TEST_TIMEOUT=False 2025-09-07T06:54:13.9136877Z TD_DISTRIBUTED=False 2025-09-07T06:54:13.9137041Z GITHUB_REPOSITORY=pytorch/pytorch 2025-09-07T06:54:13.9137230Z GITHUB_RETENTION_DAYS=90 2025-09-07T06:54:13.9137403Z OPENSSL_DIR=/opt/openssl 2025-09-07T06:54:13.9137579Z GITHUB_ACTION_REPOSITORY= 2025-09-07T06:54:13.9138013Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.9/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-09-07T06:54:13.9138446Z GITHUB_BASE_REF= 2025-09-07T06:54:13.9138600Z INSTALLED_ACL= 2025-09-07T06:54:13.9138870Z ARTIFACTS_FILE_SUFFIX=test-dynamic_cpu_inductor_torchbench-1-2-linux.8xlarge.amx_49774397872 2025-09-07T06:54:13.9139168Z CI=true 2025-09-07T06:54:13.9139325Z GITHUB_REPOSITORY_OWNER=pytorch 2025-09-07T06:54:13.9139553Z RUST_LOG=sccache::server=error 2025-09-07T06:54:13.9139727Z JOB_ID=49774397872 2025-09-07T06:54:13.9139873Z GITHUB_HEAD_REF= 2025-09-07T06:54:13.9140018Z GITHUB_ACTION_REF= 2025-09-07T06:54:13.9140200Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-09-07T06:54:13.9140412Z TEST_SHOWLOCALS=False 2025-09-07T06:54:13.9140570Z GITHUB_WORKFLOW=inductor 2025-09-07T06:54:13.9140735Z DEBIAN_FRONTEND=noninteractive 2025-09-07T06:54:13.9141084Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_a8aa5a87-3b45-4061-a982-984efed43afc 2025-09-07T06:54:13.9141430Z NO_TD=False 2025-09-07T06:54:13.9141582Z SKIP_SCCACHE_INITIALIZATION=1 2025-09-07T06:54:13.9141763Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-09-07T06:54:13.9141953Z _=/usr/bin/env 2025-09-07T06:54:13.9142158Z ++ python -c 'import site; print(site.getsitepackages()[0])' 2025-09-07T06:54:13.9358642Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch 2025-09-07T06:54:13.9361017Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/bin 2025-09-07T06:54:13.9361369Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib 2025-09-07T06:54:13.9361730Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/test 2025-09-07T06:54:13.9362046Z + BUILD_DIR=build 2025-09-07T06:54:13.9362233Z + BUILD_RENAMED_DIR=build_renamed 2025-09-07T06:54:13.9362430Z + BUILD_BIN_DIR=build/bin 2025-09-07T06:54:13.9362953Z + SHARD_NUMBER=1 2025-09-07T06:54:13.9363120Z + NUM_TEST_SHARDS=2 2025-09-07T06:54:13.9363308Z + export TORCH_SERIALIZATION_DEBUG=1 2025-09-07T06:54:13.9363518Z + TORCH_SERIALIZATION_DEBUG=1 2025-09-07T06:54:13.9363712Z + export VALGRIND=ON 2025-09-07T06:54:13.9363884Z + VALGRIND=ON 2025-09-07T06:54:13.9364083Z + [[ linux-jammy-py3.9-gcc11-build == *clang9* ]] 2025-09-07T06:54:13.9364330Z + [[ linux-jammy-py3.9-gcc11-build == *xpu* ]] 2025-09-07T06:54:13.9364555Z + detect_cuda_arch 2025-09-07T06:54:13.9364749Z + [[ linux-jammy-py3.9-gcc11-build == *cuda* ]] 2025-09-07T06:54:13.9364996Z + [[ linux-jammy-py3.9-gcc11-build == *s390x* ]] 2025-09-07T06:54:13.9365376Z + [[ 0 == \1 ]] 2025-09-07T06:54:13.9365557Z + [[ True == \1 ]] 2025-09-07T06:54:13.9365754Z + [[ linux-jammy-py3.9-gcc11-build != *bazel* ]] 2025-09-07T06:54:13.9366003Z ++ realpath build/custom_test_artifacts 2025-09-07T06:54:13.9366341Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts 2025-09-07T06:54:13.9366649Z + [[ -n '' ]] 2025-09-07T06:54:13.9366818Z + echo 'Environment variables' 2025-09-07T06:54:13.9367008Z Environment variables 2025-09-07T06:54:13.9367165Z + env 2025-09-07T06:54:13.9403627Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-09-07T06:54:13.9404076Z CONTINUE_THROUGH_ERROR=True 2025-09-07T06:54:13.9404307Z BUILD_ENVIRONMENT=linux-jammy-py3.9-gcc11-build 2025-09-07T06:54:13.9404719Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-09-07T06:54:13.9406183Z HOSTNAME=cf65f5c8b8a3 2025-09-07T06:54:13.9406613Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_a8aa5a87-3b45-4061-a982-984efed43afc 2025-09-07T06:54:13.9407021Z GITHUB_ACTION=__run_2 2025-09-07T06:54:13.9407221Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-09-07T06:54:13.9407434Z GITHUB_RUN_NUMBER=152138 2025-09-07T06:54:13.9407654Z TEST_CONFIG=dynamic_cpu_inductor_torchbench 2025-09-07T06:54:13.9407894Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-09-07T06:54:13.9408138Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-09-07T06:54:13.9408352Z SCCACHE_IDLE_TIMEOUT=0 2025-09-07T06:54:13.9408647Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-09-07T06:54:13.9408869Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-09-07T06:54:13.9409088Z GITHUB_REF_TYPE=branch 2025-09-07T06:54:13.9409324Z BASE_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T06:54:13.9409549Z XLA_CUDA= 2025-09-07T06:54:13.9409721Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-09-07T06:54:13.9410152Z HUGGING_FACE_HUB_TOKEN=*** 2025-09-07T06:54:13.9410410Z *** 2025-09-07T06:54:13.9410575Z GITHUB_REPOSITORY_ID=65600975 2025-09-07T06:54:13.9410769Z GITHUB_ACTIONS=true 2025-09-07T06:54:13.9410983Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T06:54:13.9411250Z SHA1=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T06:54:13.9411509Z GITHUB_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T06:54:13.9411825Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor.yml@refs/heads/main 2025-09-07T06:54:13.9412129Z UCC_HOME=/usr 2025-09-07T06:54:13.9412306Z TORCH_SERIALIZATION_DEBUG=1 2025-09-07T06:54:13.9412499Z VERBOSE_TEST_LOGS=False 2025-09-07T06:54:13.9412680Z GITHUB_REF=refs/heads/main 2025-09-07T06:54:13.9412866Z SHARD_NUMBER=1 2025-09-07T06:54:13.9413039Z GITHUB_REF_PROTECTED=true 2025-09-07T06:54:13.9413224Z HOME=/var/lib/jenkins 2025-09-07T06:54:13.9413414Z GITHUB_API_URL=https://api.github.com 2025-09-07T06:54:13.9413640Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-09-07T06:54:13.9413839Z UCX_COMMIT= 2025-09-07T06:54:13.9413998Z USE_SYSTEM_NCCL=1 2025-09-07T06:54:13.9414160Z NUM_TEST_SHARDS=2 2025-09-07T06:54:13.9414322Z UCX_HOME=/usr 2025-09-07T06:54:13.9414865Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_a8aa5a87-3b45-4061-a982-984efed43afc 2025-09-07T06:54:13.9415400Z JOB_NAME=inductor-cpu-test / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx) 2025-09-07T06:54:13.9415871Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_a8aa5a87-3b45-4061-a982-984efed43afc 2025-09-07T06:54:13.9416420Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-09-07T06:54:13.9416717Z GITHUB_EVENT_NAME=push 2025-09-07T06:54:13.9416890Z DASHBOARD_TAG= 2025-09-07T06:54:13.9417047Z GITHUB_RUN_ID=17524754606 2025-09-07T06:54:13.9417226Z INSTALLED_OPENBLAS= 2025-09-07T06:54:13.9417596Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_a8aa5a87-3b45-4061-a982-984efed43afc 2025-09-07T06:54:13.9418005Z GITHUB_ACTOR=pytorchmergebot 2025-09-07T06:54:13.9418179Z PR_NUMBER= 2025-09-07T06:54:13.9418328Z DESIRED_CUDA= 2025-09-07T06:54:13.9418483Z GITHUB_RUN_ATTEMPT=1 2025-09-07T06:54:13.9418645Z VALGRIND=ON 2025-09-07T06:54:13.9418793Z ANACONDA_PYTHON_VERSION=3.9 2025-09-07T06:54:13.9419009Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-09-07T06:54:13.9419225Z TERM=vt100 2025-09-07T06:54:13.9419373Z INSTALLED_VISION=yes 2025-09-07T06:54:13.9419529Z BRANCH=main 2025-09-07T06:54:13.9419681Z SCCACHE_REGION=us-east-1 2025-09-07T06:54:13.9419863Z OPENSSL_ROOT_DIR=/opt/openssl 2025-09-07T06:54:13.9420048Z CUDA_PATH=/usr/local/cuda 2025-09-07T06:54:13.9420349Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-09-07T06:54:13.9420689Z GITHUB_SERVER_URL=https://github.com 2025-09-07T06:54:13.9420879Z UCC_COMMIT= 2025-09-07T06:54:13.9421023Z REENABLED_ISSUES= 2025-09-07T06:54:13.9421168Z DOCS=yes 2025-09-07T06:54:13.9421376Z SHLVL=1 2025-09-07T06:54:13.9421520Z MAX_JOBS=30 2025-09-07T06:54:13.9421669Z GITHUB_ACTOR_ID=97764156 2025-09-07T06:54:13.9421881Z GITHUB_WORKFLOW_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T06:54:13.9422119Z GITHUB_REF_NAME=main 2025-09-07T06:54:13.9422366Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-09-07T06:54:13.9422631Z GITHUB_JOB=test 2025-09-07T06:54:13.9422784Z NO_TEST_TIMEOUT=False 2025-09-07T06:54:13.9422953Z TD_DISTRIBUTED=False 2025-09-07T06:54:13.9423138Z GITHUB_REPOSITORY=pytorch/pytorch 2025-09-07T06:54:13.9423347Z GITHUB_RETENTION_DAYS=90 2025-09-07T06:54:13.9423512Z OPENSSL_DIR=/opt/openssl 2025-09-07T06:54:13.9423685Z GITHUB_ACTION_REPOSITORY= 2025-09-07T06:54:13.9424129Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.9/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-09-07T06:54:13.9424591Z GITHUB_BASE_REF= 2025-09-07T06:54:13.9424740Z INSTALLED_ACL= 2025-09-07T06:54:13.9425022Z ARTIFACTS_FILE_SUFFIX=test-dynamic_cpu_inductor_torchbench-1-2-linux.8xlarge.amx_49774397872 2025-09-07T06:54:13.9425325Z CI=true 2025-09-07T06:54:13.9425477Z GITHUB_REPOSITORY_OWNER=pytorch 2025-09-07T06:54:13.9425704Z RUST_LOG=sccache::server=error 2025-09-07T06:54:13.9425882Z JOB_ID=49774397872 2025-09-07T06:54:13.9426033Z GITHUB_HEAD_REF= 2025-09-07T06:54:13.9426187Z GITHUB_ACTION_REF= 2025-09-07T06:54:13.9426373Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-09-07T06:54:13.9426595Z TEST_SHOWLOCALS=False 2025-09-07T06:54:13.9426762Z GITHUB_WORKFLOW=inductor 2025-09-07T06:54:13.9426938Z DEBIAN_FRONTEND=noninteractive 2025-09-07T06:54:13.9427295Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_a8aa5a87-3b45-4061-a982-984efed43afc 2025-09-07T06:54:13.9427654Z NO_TD=False 2025-09-07T06:54:13.9427813Z SKIP_SCCACHE_INITIALIZATION=1 2025-09-07T06:54:13.9428011Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-09-07T06:54:13.9428200Z _=/usr/bin/env 2025-09-07T06:54:13.9428360Z + echo 'Testing pytorch' 2025-09-07T06:54:13.9428531Z Testing pytorch 2025-09-07T06:54:13.9428708Z + export LANG=C.UTF-8 2025-09-07T06:54:13.9428862Z + LANG=C.UTF-8 2025-09-07T06:54:13.9429029Z + PR_NUMBER= 2025-09-07T06:54:13.9429218Z + [[ dynamic_cpu_inductor_torchbench == \d\e\f\a\u\l\t ]] 2025-09-07T06:54:13.9429492Z + [[ dynamic_cpu_inductor_torchbench == \d\i\s\t\r\i\b\u\t\e\d ]] 2025-09-07T06:54:13.9429741Z + [[ dynamic_cpu_inductor_torchbench == \s\l\o\w ]] 2025-09-07T06:54:13.9430058Z + [[ linux-jammy-py3.9-gcc11-build == *slow-gradcheck* ]] 2025-09-07T06:54:13.9430309Z + [[ linux-jammy-py3.9-gcc11-build == *cuda* ]] 2025-09-07T06:54:13.9430544Z + [[ linux-jammy-py3.9-gcc11-build == *rocm* ]] 2025-09-07T06:54:13.9430765Z + [[ linux-jammy-py3.9-gcc11-build == *xpu* ]] 2025-09-07T06:54:13.9431004Z + [[ dynamic_cpu_inductor_torchbench == *crossref* ]] 2025-09-07T06:54:13.9431240Z + [[ linux-jammy-py3.9-gcc11-build == *rocm* ]] 2025-09-07T06:54:13.9431470Z + [[ linux-jammy-py3.9-gcc11-build == *xpu* ]] 2025-09-07T06:54:13.9431701Z + [[ linux-jammy-py3.9-gcc11-build != *-bazel-* ]] 2025-09-07T06:54:13.9431912Z + pip_install ninja==1.10.2 2025-09-07T06:54:13.9432147Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-09-07T06:54:13.9432426Z + python3 -m pip install --progress-bar off ninja==1.10.2 2025-09-07T06:54:14.2734041Z Collecting ninja==1.10.2 2025-09-07T06:54:14.2824564Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB) 2025-09-07T06:54:14.2910105Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB) 2025-09-07T06:54:14.9982386Z Installing collected packages: ninja 2025-09-07T06:54:14.9982703Z Attempting uninstall: ninja 2025-09-07T06:54:14.9992190Z Found existing installation: ninja 1.11.1.3 2025-09-07T06:54:15.0011290Z Uninstalling ninja-1.11.1.3: 2025-09-07T06:54:15.0058761Z Successfully uninstalled ninja-1.11.1.3 2025-09-07T06:54:15.0480757Z Successfully installed ninja-1.10.2 2025-09-07T06:54:15.1525729Z + export PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.9/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-09-07T06:54:15.1531444Z + PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.9/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-09-07T06:54:15.1533000Z + [[ linux-jammy-py3.9-gcc11-build == *aarch64* ]] 2025-09-07T06:54:15.1533266Z + [[ linux-jammy-py3.9-gcc11-build == *asan* ]] 2025-09-07T06:54:15.1533507Z + [[ linux-jammy-py3.9-gcc11-build == *-debug* ]] 2025-09-07T06:54:15.1533743Z + [[ linux-jammy-py3.9-gcc11-build != *-bazel-* ]] 2025-09-07T06:54:15.1534057Z + echo 'We are not in debug mode: linux-jammy-py3.9-gcc11-build. Expect the assertion to pass' 2025-09-07T06:54:15.1534443Z We are not in debug mode: linux-jammy-py3.9-gcc11-build. Expect the assertion to pass 2025-09-07T06:54:15.1534716Z + cd test 2025-09-07T06:54:15.1534934Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)' 2025-09-07T06:54:15.4131934Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T06:54:15.4132902Z import pynvml # type: ignore[import] 2025-09-07T06:54:16.2037184Z + [[ dynamic_cpu_inductor_torchbench == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]] 2025-09-07T06:54:16.2038888Z + [[ dynamic_cpu_inductor_torchbench == \n\o\g\p\u\_\A\V\X\5\1\2 ]] 2025-09-07T06:54:16.2039309Z + [[ dynamic_cpu_inductor_torchbench == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]] 2025-09-07T06:54:16.2039595Z + DYNAMO_BENCHMARK_FLAGS=() 2025-09-07T06:54:16.2039834Z + [[ dynamic_cpu_inductor_torchbench == *pr_time_benchmarks* ]] 2025-09-07T06:54:16.2040149Z + [[ dynamic_cpu_inductor_torchbench == *dynamo_eager* ]] 2025-09-07T06:54:16.2040401Z + [[ dynamic_cpu_inductor_torchbench == *aot_eager* ]] 2025-09-07T06:54:16.2040649Z + [[ dynamic_cpu_inductor_torchbench == *aot_inductor* ]] 2025-09-07T06:54:16.2040916Z + [[ dynamic_cpu_inductor_torchbench == *max_autotune_inductor* ]] 2025-09-07T06:54:16.2041174Z + [[ dynamic_cpu_inductor_torchbench == *inductor* ]] 2025-09-07T06:54:16.2041406Z + [[ dynamic_cpu_inductor_torchbench != *perf* ]] 2025-09-07T06:54:16.2041975Z + DYNAMO_BENCHMARK_FLAGS+=(--inductor) 2025-09-07T06:54:16.2042202Z + [[ dynamic_cpu_inductor_torchbench == *dynamic* ]] 2025-09-07T06:54:16.2042495Z + DYNAMO_BENCHMARK_FLAGS+=(--dynamic-shapes --dynamic-batch-only) 2025-09-07T06:54:16.2042779Z + [[ dynamic_cpu_inductor_torchbench == *cpu* ]] 2025-09-07T06:54:16.2043005Z + DYNAMO_BENCHMARK_FLAGS+=(--device cpu) 2025-09-07T06:54:16.2348783Z + [[ linux-jammy-py3.9-gcc11-build == *libtorch* ]] 2025-09-07T06:54:16.2353905Z + [[ linux-jammy-py3.9-gcc11-build == *-bazel-* ]] 2025-09-07T06:54:16.2354192Z + cd test 2025-09-07T06:54:16.2354409Z + python -c 'import torch; print(torch.__config__.show())' 2025-09-07T06:54:16.4912709Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T06:54:16.4913631Z import pynvml # type: ignore[import] 2025-09-07T06:54:17.1130636Z PyTorch built with: 2025-09-07T06:54:17.1133775Z - GCC 11.4 2025-09-07T06:54:17.1135791Z - C++ Version: 201703 2025-09-07T06:54:17.1141274Z - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-09-07T06:54:17.1145794Z - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-09-07T06:54:17.1147975Z - OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-09-07T06:54:17.1153217Z - LAPACK is enabled (usually provided by MKL) 2025-09-07T06:54:17.1154699Z - NNPACK is enabled 2025-09-07T06:54:17.1155010Z - CPU capability usage: AVX512 2025-09-07T06:54:17.1162997Z - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, COMMIT_SHA=93fb23d6fae7c4e82c4239a1033e522088742634, CXX_COMPILER=/opt/cache/bin/c++, CXX_FLAGS= -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOCUPTI -DLIBKINETO_NOROCTRACER -DLIBKINETO_NOXPUPTI=ON -DUSE_FBGEMM -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -DC10_NODEPRECATED -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=range-loop-construct -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-unknown-pragmas -Wno-unused-parameter -Wno-strict-overflow -Wno-strict-aliasing -Wno-stringop-overflow -Wsuggest-override -Wno-psabi -Wno-error=old-style-cast -faligned-new -Werror -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, TORCH_VERSION=2.9.0, USE_CUDA=OFF, USE_CUDNN=OFF, USE_CUSPARSELT=OFF, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_GLOO=ON, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=OFF, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, USE_ROCM_KERNEL_ASSERT=OFF, USE_XCCL=OFF, USE_XPU=OFF, 2025-09-07T06:54:17.1165936Z 2025-09-07T06:54:17.2977081Z + cd test 2025-09-07T06:54:17.2977551Z + python -c 'import torch; print(torch.__config__.parallel_info())' 2025-09-07T06:54:17.5753426Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T06:54:17.5754332Z import pynvml # type: ignore[import] 2025-09-07T06:54:18.1902987Z ATen/Parallel: 2025-09-07T06:54:18.1903507Z at::get_num_threads() : 16 2025-09-07T06:54:18.1903945Z at::get_num_interop_threads() : 16 2025-09-07T06:54:18.1904294Z OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-09-07T06:54:18.1904660Z omp_get_max_threads() : 16 2025-09-07T06:54:18.1905585Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-09-07T06:54:18.1906013Z mkl_get_max_threads() : 16 2025-09-07T06:54:18.1906297Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-09-07T06:54:18.1906659Z std::thread::hardware_concurrency() : 32 2025-09-07T06:54:18.1907295Z Environment variables: 2025-09-07T06:54:18.1907502Z OMP_NUM_THREADS : [not set] 2025-09-07T06:54:18.1907754Z MKL_NUM_THREADS : [not set] 2025-09-07T06:54:18.1907936Z ATen parallel backend: OpenMP 2025-09-07T06:54:18.1908067Z 2025-09-07T06:54:18.3742033Z + [[ dynamic_cpu_inductor_torchbench == *numpy_2* ]] 2025-09-07T06:54:18.3743306Z + [[ linux-jammy-py3.9-gcc11-build == *aarch64* ]] 2025-09-07T06:54:18.3743725Z + [[ dynamic_cpu_inductor_torchbench == *backward* ]] 2025-09-07T06:54:18.3744103Z + [[ dynamic_cpu_inductor_torchbench == *xla* ]] 2025-09-07T06:54:18.3744445Z + [[ dynamic_cpu_inductor_torchbench == *vllm* ]] 2025-09-07T06:54:18.3744811Z + [[ dynamic_cpu_inductor_torchbench == *executorch* ]] 2025-09-07T06:54:18.3745194Z + [[ dynamic_cpu_inductor_torchbench == \j\i\t\_\l\e\g\a\c\y ]] 2025-09-07T06:54:18.3745531Z + [[ linux-jammy-py3.9-gcc11-build == *libtorch* ]] 2025-09-07T06:54:18.3745906Z + [[ dynamic_cpu_inductor_torchbench == distributed ]] 2025-09-07T06:54:18.3746306Z + [[ dynamic_cpu_inductor_torchbench == *operator_benchmark* ]] 2025-09-07T06:54:18.3746588Z + [[ dynamic_cpu_inductor_torchbench == *inductor_distributed* ]] 2025-09-07T06:54:18.3746879Z + [[ dynamic_cpu_inductor_torchbench == *inductor-halide* ]] 2025-09-07T06:54:18.3747153Z + [[ dynamic_cpu_inductor_torchbench == *inductor-triton-cpu* ]] 2025-09-07T06:54:18.3747456Z + [[ dynamic_cpu_inductor_torchbench == *inductor-micro-benchmark* ]] 2025-09-07T06:54:18.3748050Z + [[ dynamic_cpu_inductor_torchbench == *huggingface* ]] 2025-09-07T06:54:18.3748289Z + [[ dynamic_cpu_inductor_torchbench == *timm* ]] 2025-09-07T06:54:18.3748516Z + [[ dynamic_cpu_inductor_torchbench == cachebench ]] 2025-09-07T06:54:18.3748759Z + [[ dynamic_cpu_inductor_torchbench == verify_cachebench ]] 2025-09-07T06:54:18.3749009Z + [[ dynamic_cpu_inductor_torchbench == *torchbench* ]] 2025-09-07T06:54:18.3749213Z + install_torchaudio 2025-09-07T06:54:18.3749379Z + local commit 2025-09-07T06:54:18.3749545Z ++ get_pinned_commit audio 2025-09-07T06:54:18.3749733Z ++ cat .github/ci_commit_pins/audio.txt 2025-09-07T06:54:18.4186645Z + commit=2e300559e4e123928a22187b8f59a5b56f57ddc8 2025-09-07T06:54:18.4189492Z + pip_build_and_install git+https://github.com/pytorch/audio.git@2e300559e4e123928a22187b8f59a5b56f57ddc8 dist/audio 2025-09-07T06:54:18.4190110Z + local build_target=git+https://github.com/pytorch/audio.git@2e300559e4e123928a22187b8f59a5b56f57ddc8 2025-09-07T06:54:18.4190563Z + local wheel_dir=dist/audio 2025-09-07T06:54:18.4190876Z + local found_whl=0 2025-09-07T06:54:18.4191159Z + for file in "${wheel_dir}"/*.whl 2025-09-07T06:54:18.4191534Z + [[ -f dist/audio/torchaudio-2.8.0a0+2e30055-cp39-cp39-linux_x86_64.whl ]] 2025-09-07T06:54:18.4191928Z + found_whl=1 2025-09-07T06:54:18.4192158Z + break 2025-09-07T06:54:18.4192318Z + '[' 1 == 0 ']' 2025-09-07T06:54:18.4192484Z + for file in "${wheel_dir}"/*.whl 2025-09-07T06:54:18.4192789Z + pip_install_whl dist/audio/torchaudio-2.8.0a0+2e30055-cp39-cp39-linux_x86_64.whl 2025-09-07T06:54:18.4193169Z + args=('dist/audio/torchaudio-2.8.0a0+2e30055-cp39-cp39-linux_x86_64.whl') 2025-09-07T06:54:18.4193436Z + local args 2025-09-07T06:54:18.4193669Z + [[ dist/audio/torchaudio-2.8.0a0+2e30055-cp39-cp39-linux_x86_64.whl == *\ * ]] 2025-09-07T06:54:18.4193951Z + for path in "${args[@]}" 2025-09-07T06:54:18.4194228Z + echo 'Installing dist/audio/torchaudio-2.8.0a0+2e30055-cp39-cp39-linux_x86_64.whl' 2025-09-07T06:54:18.4194599Z Installing dist/audio/torchaudio-2.8.0a0+2e30055-cp39-cp39-linux_x86_64.whl 2025-09-07T06:54:18.4195009Z + python3 -mpip install --no-index --no-deps dist/audio/torchaudio-2.8.0a0+2e30055-cp39-cp39-linux_x86_64.whl 2025-09-07T06:54:18.6844909Z Processing ./dist/audio/torchaudio-2.8.0a0+2e30055-cp39-cp39-linux_x86_64.whl 2025-09-07T06:54:18.6886842Z Installing collected packages: torchaudio 2025-09-07T06:54:19.5131539Z Successfully installed torchaudio-2.8.0a0+2e30055 2025-09-07T06:54:19.5483152Z + install_torchvision 2025-09-07T06:54:19.5487070Z + local orig_preload 2025-09-07T06:54:19.5487541Z + local commit 2025-09-07T06:54:19.5492469Z ++ get_pinned_commit vision 2025-09-07T06:54:19.5492748Z ++ cat .github/ci_commit_pins/vision.txt 2025-09-07T06:54:19.5502188Z + commit=966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-09-07T06:54:19.5502412Z + orig_preload= 2025-09-07T06:54:19.5502745Z + '[' -n '' ']' 2025-09-07T06:54:19.5502979Z + [[ linux-jammy-py3.9-gcc11-build == *cuda* ]] 2025-09-07T06:54:19.5503445Z + pip_build_and_install git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 dist/vision 2025-09-07T06:54:19.5503953Z + local build_target=git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-09-07T06:54:19.5504348Z + local wheel_dir=dist/vision 2025-09-07T06:54:19.5504539Z + local found_whl=0 2025-09-07T06:54:19.5504710Z + for file in "${wheel_dir}"/*.whl 2025-09-07T06:54:19.5504995Z + [[ -f dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl ]] 2025-09-07T06:54:19.5505259Z + found_whl=1 2025-09-07T06:54:19.5505414Z + break 2025-09-07T06:54:19.5505552Z + '[' 1 == 0 ']' 2025-09-07T06:54:19.5505718Z + for file in "${wheel_dir}"/*.whl 2025-09-07T06:54:19.5506005Z + pip_install_whl dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-09-07T06:54:19.5506422Z + args=('dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl') 2025-09-07T06:54:19.5506687Z + local args 2025-09-07T06:54:19.5508095Z + [[ dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl == *\ * ]] 2025-09-07T06:54:19.5508400Z + for path in "${args[@]}" 2025-09-07T06:54:19.5508677Z + echo 'Installing dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl' 2025-09-07T06:54:19.5509064Z Installing dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-09-07T06:54:19.5509506Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-09-07T06:54:19.8209626Z Processing ./dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-09-07T06:54:19.8287728Z Installing collected packages: torchvision 2025-09-07T06:54:20.2682605Z Successfully installed torchvision-0.22.0a0+966da7e 2025-09-07T06:54:20.3077567Z + '[' -n '' ']' 2025-09-07T06:54:20.3077796Z + id=0 2025-09-07T06:54:20.3077983Z + pip_install opencv-python==4.8.0.74 2025-09-07T06:54:20.3078275Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-09-07T06:54:20.3078598Z + python3 -m pip install --progress-bar off opencv-python==4.8.0.74 2025-09-07T06:54:20.6580459Z Collecting opencv-python==4.8.0.74 2025-09-07T06:54:20.6680593Z Downloading opencv_python-4.8.0.74-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (19 kB) 2025-09-07T06:54:20.6764427Z Requirement already satisfied: numpy>=1.17.0 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from opencv-python==4.8.0.74) (1.22.4) 2025-09-07T06:54:20.6831435Z Downloading opencv_python-4.8.0.74-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (61.7 MB) 2025-09-07T06:54:21.7884538Z Installing collected packages: opencv-python 2025-09-07T06:54:21.7885070Z Attempting uninstall: opencv-python 2025-09-07T06:54:21.7898047Z Found existing installation: opencv-python 4.11.0.86 2025-09-07T06:54:21.7949544Z Uninstalling opencv-python-4.11.0.86: 2025-09-07T06:54:21.8696560Z Successfully uninstalled opencv-python-4.11.0.86 2025-09-07T06:54:22.6488632Z Successfully installed opencv-python-4.8.0.74 2025-09-07T06:54:22.7466971Z + [[ dynamic_cpu_inductor_torchbench == *inductor_torchbench_smoketest_perf* ]] 2025-09-07T06:54:22.7471392Z + [[ dynamic_cpu_inductor_torchbench == *inductor_torchbench_cpu_smoketest_perf* ]] 2025-09-07T06:54:22.7473517Z + [[ dynamic_cpu_inductor_torchbench == *torchbench_gcp_smoketest* ]] 2025-09-07T06:54:22.7473925Z + [[ dynamic_cpu_inductor_torchbench != *cpu* ]] 2025-09-07T06:54:22.7479240Z + PYTHONPATH=/torchbench 2025-09-07T06:54:22.7480835Z + test_dynamo_benchmark torchbench 0 2025-09-07T06:54:22.7481071Z ++ pwd 2025-09-07T06:54:22.7482523Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-09-07T06:54:22.7482784Z + local suite=torchbench 2025-09-07T06:54:22.7482951Z + shift 2025-09-07T06:54:22.7483100Z + local shard_id=0 2025-09-07T06:54:22.7483259Z + shift 2025-09-07T06:54:22.7483449Z + [[ dynamic_cpu_inductor_torchbench == *perf_compare* ]] 2025-09-07T06:54:22.7483696Z + [[ dynamic_cpu_inductor_torchbench == *perf* ]] 2025-09-07T06:54:22.7483935Z + [[ dynamic_cpu_inductor_torchbench == *cpu* ]] 2025-09-07T06:54:22.7484148Z + local dt=float32 2025-09-07T06:54:22.7484327Z + [[ dynamic_cpu_inductor_torchbench == *amp* ]] 2025-09-07T06:54:22.7484557Z + [[ dynamic_cpu_inductor_torchbench == *freezing* ]] 2025-09-07T06:54:22.7484865Z + test_single_dynamo_benchmark inference torchbench 0 --inference --float32 2025-09-07T06:54:22.7485132Z ++ pwd 2025-09-07T06:54:22.7485507Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-09-07T06:54:22.7485801Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports 2025-09-07T06:54:22.7497841Z + local name=inference 2025-09-07T06:54:22.7498096Z + shift 2025-09-07T06:54:22.7498263Z + local suite=torchbench 2025-09-07T06:54:22.7498420Z + shift 2025-09-07T06:54:22.7498620Z + local shard_id=0 2025-09-07T06:54:22.7503572Z + shift 2025-09-07T06:54:22.7503779Z + partition_flags=() 2025-09-07T06:54:22.7503970Z + local partition_flags 2025-09-07T06:54:22.7504146Z + [[ -n 2 ]] 2025-09-07T06:54:22.7504296Z + [[ -n 0 ]] 2025-09-07T06:54:22.7504851Z + partition_flags=(--total-partitions "$NUM_TEST_SHARDS" --partition-id "$shard_id") 2025-09-07T06:54:22.7505199Z + [[ dynamic_cpu_inductor_torchbench == *perf_compare* ]] 2025-09-07T06:54:22.7505444Z + [[ dynamic_cpu_inductor_torchbench == *perf* ]] 2025-09-07T06:54:22.7505681Z + [[ dynamic_cpu_inductor_torchbench == *_avx2* ]] 2025-09-07T06:54:22.7505921Z + [[ dynamic_cpu_inductor_torchbench == *_avx512* ]] 2025-09-07T06:54:22.7506707Z + python benchmarks/dynamo/torchbench.py --ci --accuracy --timing --explain --print-compilation-time --inductor --dynamic-shapes --dynamic-batch-only --device cpu --inference --float32 --total-partitions 2 --partition-id 0 --output /var/lib/jenkins/workspace/test/test-reports/inference_torchbench.csv 2025-09-07T06:54:23.0102934Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T06:54:23.0103824Z import pynvml # type: ignore[import] 2025-09-07T06:54:25.2401975Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T06:54:25.2402866Z import pynvml # type: ignore[import] 2025-09-07T06:54:27.1799818Z 2025-09-07T06:54:28.6404200Z loading model: 0it [00:00, ?it/s] 2025-09-07T06:54:28.6404522Z loading model: 0it [00:01, ?it/s] 2025-09-07T06:54:28.6428541Z cpu eval BERT_pytorch 2025-09-07T06:54:29.1006477Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T06:54:29.3355710Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T06:54:29.5618383Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T06:54:52.3349675Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3350138Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3350471Z return mod(*inputs) 2025-09-07T06:54:52.3350810Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3351173Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3351923Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 44, in forward 2025-09-07T06:54:52.3352297Z mask = (x > 0).unsqueeze(1).repeat(1, x.size(1), 1).unsqueeze(1) 2025-09-07T06:54:52.3352466Z 2025-09-07T06:54:52.3352574Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3352922Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3353239Z return mod(*inputs) 2025-09-07T06:54:52.3353571Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3353918Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3354237Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 47, in forward 2025-09-07T06:54:52.3354562Z x = self.embedding(x, segment_info) 2025-09-07T06:54:52.3354904Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/embedding/bert.py", line 32, in forward 2025-09-07T06:54:52.3355332Z x = self.token(sequence) + self.position(sequence) + self.segment(segment_label) 2025-09-07T06:54:52.3355536Z 2025-09-07T06:54:52.3355640Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3355982Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3356286Z return mod(*inputs) 2025-09-07T06:54:52.3356760Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3357140Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3357459Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3357789Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3358132Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3358506Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3358872Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3359271Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3359669Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3360060Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3360481Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T06:54:52.3360858Z query, key, value = [ 2025-09-07T06:54:52.3361221Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T06:54:52.3361689Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T06:54:52.3361859Z 2025-09-07T06:54:52.3361974Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3362336Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3362651Z return mod(*inputs) 2025-09-07T06:54:52.3362985Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3363349Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3363680Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3364011Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3364367Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3364766Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3365164Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3365827Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3366230Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3366644Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3367045Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T06:54:52.3367424Z query, key, value = [ 2025-09-07T06:54:52.3367778Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T06:54:52.3368195Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T06:54:52.3368361Z 2025-09-07T06:54:52.3368464Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3368884Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3369217Z return mod(*inputs) 2025-09-07T06:54:52.3369709Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3370074Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3370417Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3370751Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3371169Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3371536Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3371917Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3372314Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3372705Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3373093Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3373504Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T06:54:52.3373945Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T06:54:52.3374369Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T06:54:52.3374878Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T06:54:52.3375090Z 2025-09-07T06:54:52.3375197Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3375556Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3375877Z return mod(*inputs) 2025-09-07T06:54:52.3376223Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3376592Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3376917Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3377259Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3377612Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3377984Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3378359Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3378754Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3379142Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3379534Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3379945Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T06:54:52.3380411Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T06:54:52.3380830Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T06:54:52.3381275Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T06:54:52.3381485Z 2025-09-07T06:54:52.3381611Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3381968Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3382283Z return mod(*inputs) 2025-09-07T06:54:52.3382616Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3382973Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3383288Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3383615Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3383941Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3384296Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3384654Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3385096Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3385469Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3385861Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3386299Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T06:54:52.3386759Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T06:54:52.3387204Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T06:54:52.3387659Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T06:54:52.3387951Z 2025-09-07T06:54:52.3388067Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3388406Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3388718Z return mod(*inputs) 2025-09-07T06:54:52.3389048Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3389400Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3389747Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3390102Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3390465Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3390843Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3391212Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3391605Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3391987Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3392368Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3392764Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T06:54:52.3393133Z query, key, value = [ 2025-09-07T06:54:52.3393499Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T06:54:52.3393973Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T06:54:52.3394137Z 2025-09-07T06:54:52.3394250Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3394603Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3394926Z return mod(*inputs) 2025-09-07T06:54:52.3395260Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3395627Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3395954Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3396295Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3396655Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3397020Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3397389Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3397779Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3398165Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3398548Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3399030Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T06:54:52.3399467Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T06:54:52.3399878Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T06:54:52.3400289Z return torch.matmul(p_attn, value), p_attn 2025-09-07T06:54:52.3400451Z 2025-09-07T06:54:52.3400566Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3400953Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3401298Z return mod(*inputs) 2025-09-07T06:54:52.3401647Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3402033Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3402383Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3402745Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3403112Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3403515Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3403909Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3404360Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3404803Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3405270Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3405741Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T06:54:52.3406219Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T06:54:52.3406680Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T06:54:52.3407070Z return torch.matmul(p_attn, value), p_attn 2025-09-07T06:54:52.3407208Z 2025-09-07T06:54:52.3407311Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3407660Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3407972Z return mod(*inputs) 2025-09-07T06:54:52.3408298Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3408691Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3409013Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3409351Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3409705Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3410078Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3410451Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3410837Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3411214Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3411597Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3411986Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-09-07T06:54:52.3412417Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-09-07T06:54:52.3412607Z 2025-09-07T06:54:52.3412709Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3413058Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3413410Z return mod(*inputs) 2025-09-07T06:54:52.3413733Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3414086Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3414581Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3414936Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3415281Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3415643Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3416023Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3416411Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3416791Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3417164Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3417559Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward 2025-09-07T06:54:52.3417928Z return self.output_linear(x) 2025-09-07T06:54:52.3418050Z 2025-09-07T06:54:52.3418158Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3418503Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3418810Z return mod(*inputs) 2025-09-07T06:54:52.3419136Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3419488Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3419809Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3420131Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3420474Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T06:54:52.3420833Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T06:54:52.3421199Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3421581Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3421964Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T06:54:52.3422449Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T06:54:52.3422630Z 2025-09-07T06:54:52.3422729Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3423063Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3423367Z return mod(*inputs) 2025-09-07T06:54:52.3423681Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3424037Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3424358Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3424685Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3425019Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T06:54:52.3425382Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T06:54:52.3425743Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3426127Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3426517Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T06:54:52.3426951Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T06:54:52.3427120Z 2025-09-07T06:54:52.3427220Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3427562Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3427871Z return mod(*inputs) 2025-09-07T06:54:52.3428185Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3428528Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3428839Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3429161Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3429494Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T06:54:52.3429841Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T06:54:52.3430200Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3430572Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3430948Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T06:54:52.3431343Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T06:54:52.3431500Z 2025-09-07T06:54:52.3431599Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3431939Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3432248Z return mod(*inputs) 2025-09-07T06:54:52.3432563Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3432904Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3433212Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3433535Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3433866Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3434222Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3434570Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3434943Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3435341Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3435754Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3436128Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T06:54:52.3436477Z query, key, value = [ 2025-09-07T06:54:52.3436823Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T06:54:52.3437227Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T06:54:52.3437380Z 2025-09-07T06:54:52.3437496Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3437813Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3438107Z return mod(*inputs) 2025-09-07T06:54:52.3438416Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3438748Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3439050Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3439356Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3439678Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3440076Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3440433Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3440811Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3441168Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3441539Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3441931Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T06:54:52.3442290Z query, key, value = [ 2025-09-07T06:54:52.3442629Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T06:54:52.3443035Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T06:54:52.3443195Z 2025-09-07T06:54:52.3443298Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3443637Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3443947Z return mod(*inputs) 2025-09-07T06:54:52.3444256Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3444603Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3444917Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3445310Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3445648Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3446023Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3446411Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3446794Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3447160Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3447525Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3447913Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T06:54:52.3448331Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T06:54:52.3448764Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T06:54:52.3449177Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T06:54:52.3449368Z 2025-09-07T06:54:52.3449467Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3449798Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3450097Z return mod(*inputs) 2025-09-07T06:54:52.3450409Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3450744Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3451041Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3451352Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3451675Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3452019Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3452358Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3452720Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3453101Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3453462Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3453836Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T06:54:52.3454230Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T06:54:52.3454620Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T06:54:52.3455031Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T06:54:52.3455219Z 2025-09-07T06:54:52.3455323Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3455651Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3455942Z return mod(*inputs) 2025-09-07T06:54:52.3456256Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3456591Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3456898Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3457206Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3457529Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3457877Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3458224Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3458590Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3458939Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3459303Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3459683Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T06:54:52.3460084Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T06:54:52.3460475Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T06:54:52.3460878Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T06:54:52.3461837Z 2025-09-07T06:54:52.3461936Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3462265Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3462564Z return mod(*inputs) 2025-09-07T06:54:52.3462867Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3463201Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3463512Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3463830Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3464152Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3464487Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3464835Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3465204Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3465561Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3465921Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3466291Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T06:54:52.3466672Z query, key, value = [ 2025-09-07T06:54:52.3467059Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T06:54:52.3467460Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T06:54:52.3467610Z 2025-09-07T06:54:52.3467708Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3468043Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3468352Z return mod(*inputs) 2025-09-07T06:54:52.3468669Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3469012Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3469322Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3469694Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3470018Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3470368Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3470721Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3471098Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3471465Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3471835Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3472223Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T06:54:52.3472629Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T06:54:52.3473027Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T06:54:52.3473398Z return torch.matmul(p_attn, value), p_attn 2025-09-07T06:54:52.3473533Z 2025-09-07T06:54:52.3473639Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3473976Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3474274Z return mod(*inputs) 2025-09-07T06:54:52.3474597Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3474983Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3475297Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3475614Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3475947Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3476301Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3476662Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3477038Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3477398Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3477813Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3478211Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T06:54:52.3478623Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T06:54:52.3479017Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T06:54:52.3479375Z return torch.matmul(p_attn, value), p_attn 2025-09-07T06:54:52.3479517Z 2025-09-07T06:54:52.3479615Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3479982Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3480290Z return mod(*inputs) 2025-09-07T06:54:52.3480600Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3480942Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3481257Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3481584Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3481913Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3482258Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3482614Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3482992Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3483356Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3483730Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3484106Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-09-07T06:54:52.3484523Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-09-07T06:54:52.3484715Z 2025-09-07T06:54:52.3484816Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3485158Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3485528Z return mod(*inputs) 2025-09-07T06:54:52.3485852Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3486201Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3486529Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3486862Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3487201Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3487609Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3487975Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3488421Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3488800Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3489174Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3489573Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward 2025-09-07T06:54:52.3489949Z return self.output_linear(x) 2025-09-07T06:54:52.3490073Z 2025-09-07T06:54:52.3490182Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3490526Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3490843Z return mod(*inputs) 2025-09-07T06:54:52.3491168Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3491529Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3491852Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3492176Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3492521Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T06:54:52.3492887Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T06:54:52.3493289Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3493668Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3494061Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T06:54:52.3494465Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T06:54:52.3494628Z 2025-09-07T06:54:52.3494740Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3495089Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3495394Z return mod(*inputs) 2025-09-07T06:54:52.3495720Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3496071Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3496393Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3496724Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3497059Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T06:54:52.3497401Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T06:54:52.3497748Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3498113Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3498476Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T06:54:52.3498858Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T06:54:52.3499020Z 2025-09-07T06:54:52.3499116Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3499444Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3499742Z return mod(*inputs) 2025-09-07T06:54:52.3500039Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3500372Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3500675Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3500985Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3501301Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T06:54:52.3501679Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T06:54:52.3502023Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3502387Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3502761Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T06:54:52.3503137Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T06:54:52.3503297Z 2025-09-07T06:54:52.3503394Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3503723Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3504021Z return mod(*inputs) 2025-09-07T06:54:52.3504331Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3504660Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3504967Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3505280Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3505604Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T06:54:52.3505942Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T06:54:52.3506323Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3506689Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3506836Z 2025-09-07T06:54:52.3506940Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3507266Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3507556Z return mod(*inputs) 2025-09-07T06:54:52.3507862Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3508191Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3508495Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3508799Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3509124Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3509464Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3509806Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3510168Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3510514Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3510879Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3511255Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T06:54:52.3511603Z query, key, value = [ 2025-09-07T06:54:52.3511942Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T06:54:52.3512333Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T06:54:52.3512491Z 2025-09-07T06:54:52.3512589Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3512916Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3513212Z return mod(*inputs) 2025-09-07T06:54:52.3513511Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3513843Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3514182Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3514675Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3515008Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3515363Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3515734Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3516121Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3516497Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3516872Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3517259Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T06:54:52.3517627Z query, key, value = [ 2025-09-07T06:54:52.3517983Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T06:54:52.3518397Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T06:54:52.3518552Z 2025-09-07T06:54:52.3518653Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3519066Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3519370Z return mod(*inputs) 2025-09-07T06:54:52.3519685Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3520031Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3520342Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3520667Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3521004Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3521361Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3521717Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3522098Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3522470Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3522846Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3523233Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T06:54:52.3523638Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T06:54:52.3524042Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T06:54:52.3524471Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T06:54:52.3524665Z 2025-09-07T06:54:52.3524774Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3525111Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3525463Z return mod(*inputs) 2025-09-07T06:54:52.3525788Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3526129Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3526441Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3526763Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3527091Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3527504Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3527863Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3528241Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3528597Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3528966Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3529352Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T06:54:52.3529763Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T06:54:52.3530162Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T06:54:52.3530573Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T06:54:52.3530773Z 2025-09-07T06:54:52.3530874Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3531213Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3531521Z return mod(*inputs) 2025-09-07T06:54:52.3531841Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3532174Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3532531Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3532845Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3533169Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3533510Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3533857Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3534228Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3534583Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3534943Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3535312Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T06:54:52.3535714Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T06:54:52.3536097Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T06:54:52.3536508Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T06:54:52.3536696Z 2025-09-07T06:54:52.3536802Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3537124Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3537426Z return mod(*inputs) 2025-09-07T06:54:52.3537736Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3538074Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3538374Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3538691Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3539022Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3539367Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3539713Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3540073Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3540430Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3540849Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3541223Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T06:54:52.3541572Z query, key, value = [ 2025-09-07T06:54:52.3541906Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T06:54:52.3542297Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T06:54:52.3542452Z 2025-09-07T06:54:52.3542548Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3542876Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3543170Z return mod(*inputs) 2025-09-07T06:54:52.3543483Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3543820Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3544124Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3544440Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3544755Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3545099Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3545482Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3545847Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3546192Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3546551Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3546926Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T06:54:52.3547329Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T06:54:52.3547713Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T06:54:52.3548059Z return torch.matmul(p_attn, value), p_attn 2025-09-07T06:54:52.3548196Z 2025-09-07T06:54:52.3548296Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3548622Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3548921Z return mod(*inputs) 2025-09-07T06:54:52.3549225Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3549549Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3549855Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3550170Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3550493Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3550827Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3551176Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3551546Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3551905Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3552265Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3552633Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T06:54:52.3553035Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T06:54:52.3553454Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T06:54:52.3553812Z return torch.matmul(p_attn, value), p_attn 2025-09-07T06:54:52.3553942Z 2025-09-07T06:54:52.3554388Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3554714Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3555019Z return mod(*inputs) 2025-09-07T06:54:52.3555329Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3555664Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3555969Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3556277Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3556598Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3556942Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3557285Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3557643Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3557997Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3558386Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3558770Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-09-07T06:54:52.3559192Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-09-07T06:54:52.3559372Z 2025-09-07T06:54:52.3559474Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3559819Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3560136Z return mod(*inputs) 2025-09-07T06:54:52.3560460Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3560810Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3561124Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3561451Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3561791Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3562196Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3562549Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3562934Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3563305Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3563685Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3564078Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward 2025-09-07T06:54:52.3564440Z return self.output_linear(x) 2025-09-07T06:54:52.3564567Z 2025-09-07T06:54:52.3564670Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3565026Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3565422Z return mod(*inputs) 2025-09-07T06:54:52.3565755Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3566123Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3566469Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3566849Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3567193Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T06:54:52.3567551Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T06:54:52.3567917Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3568304Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3568697Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T06:54:52.3569168Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T06:54:52.3569334Z 2025-09-07T06:54:52.3569435Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3569782Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3570103Z return mod(*inputs) 2025-09-07T06:54:52.3570427Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3570774Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3571100Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3571433Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3571808Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T06:54:52.3572171Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T06:54:52.3572524Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3572906Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3573292Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T06:54:52.3573701Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T06:54:52.3573862Z 2025-09-07T06:54:52.3573969Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3574308Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3574622Z return mod(*inputs) 2025-09-07T06:54:52.3574950Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3575303Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3575617Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3575945Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3576267Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T06:54:52.3576608Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T06:54:52.3576957Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3577314Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3577683Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T06:54:52.3578066Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T06:54:52.3578219Z 2025-09-07T06:54:52.3578324Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3578650Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3578950Z return mod(*inputs) 2025-09-07T06:54:52.3579257Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3579590Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3579895Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3580237Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3580561Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3580900Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3581242Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3581607Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3581952Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3582310Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3582689Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T06:54:52.3583038Z query, key, value = [ 2025-09-07T06:54:52.3583372Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T06:54:52.3583771Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T06:54:52.3583928Z 2025-09-07T06:54:52.3584026Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3584354Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3584700Z return mod(*inputs) 2025-09-07T06:54:52.3585005Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3585339Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3585643Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3585955Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3586271Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3586616Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3586960Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3587326Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3587679Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3588030Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3588410Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T06:54:52.3588766Z query, key, value = [ 2025-09-07T06:54:52.3589102Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T06:54:52.3589494Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T06:54:52.3589646Z 2025-09-07T06:54:52.3589742Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3590070Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3590368Z return mod(*inputs) 2025-09-07T06:54:52.3590678Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3591001Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3591307Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3591618Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3591941Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3592282Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3592620Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3593018Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3593371Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3593733Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3594109Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T06:54:52.3594503Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T06:54:52.3594892Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T06:54:52.3595304Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T06:54:52.3595493Z 2025-09-07T06:54:52.3595596Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3595921Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3596219Z return mod(*inputs) 2025-09-07T06:54:52.3596528Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3596860Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3597166Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3597501Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3597831Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3598180Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3598533Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3598909Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3599276Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3599653Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3600046Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T06:54:52.3600463Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T06:54:52.3600866Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T06:54:52.3601296Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T06:54:52.3601496Z 2025-09-07T06:54:52.3601600Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3601946Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3602260Z return mod(*inputs) 2025-09-07T06:54:52.3602580Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3602931Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3603260Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3603598Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3603942Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3604295Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3604657Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3605040Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3605492Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3605943Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3606383Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T06:54:52.3606832Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T06:54:52.3607231Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T06:54:52.3607656Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T06:54:52.3607845Z 2025-09-07T06:54:52.3607946Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3608287Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3608597Z return mod(*inputs) 2025-09-07T06:54:52.3608916Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3609267Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3609576Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3609898Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3610230Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3610584Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3610979Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3611356Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3611719Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3612090Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3612475Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T06:54:52.3612826Z query, key, value = [ 2025-09-07T06:54:52.3613175Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T06:54:52.3613577Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T06:54:52.3613730Z 2025-09-07T06:54:52.3613838Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3614177Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3614621Z return mod(*inputs) 2025-09-07T06:54:52.3614947Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3615298Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3615615Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3615931Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3616273Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3616631Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3616993Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3617374Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3617747Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3618113Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3618490Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T06:54:52.3618892Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T06:54:52.3619284Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T06:54:52.3619698Z return torch.matmul(p_attn, value), p_attn 2025-09-07T06:54:52.3619837Z 2025-09-07T06:54:52.3619933Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3620269Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3620576Z return mod(*inputs) 2025-09-07T06:54:52.3620898Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3621232Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3621539Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3621856Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3622185Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3622525Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3622872Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3623239Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3623593Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3623946Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3624378Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T06:54:52.3624780Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T06:54:52.3625169Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T06:54:52.3625527Z return torch.matmul(p_attn, value), p_attn 2025-09-07T06:54:52.3625659Z 2025-09-07T06:54:52.3625762Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3626096Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3626398Z return mod(*inputs) 2025-09-07T06:54:52.3626710Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3627049Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3627353Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3627669Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3627996Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3628339Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3628679Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3629047Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3629402Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3629763Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3630139Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-09-07T06:54:52.3630544Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-09-07T06:54:52.3630729Z 2025-09-07T06:54:52.3630827Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3631160Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3631461Z return mod(*inputs) 2025-09-07T06:54:52.3631772Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3632135Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3632446Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3632763Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3633088Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3633429Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3633782Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3634152Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3634508Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3634871Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3635240Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward 2025-09-07T06:54:52.3635601Z return self.output_linear(x) 2025-09-07T06:54:52.3635722Z 2025-09-07T06:54:52.3635819Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3636148Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3636476Z return mod(*inputs) 2025-09-07T06:54:52.3636834Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3637179Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3637494Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3637822Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3638141Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T06:54:52.3638488Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T06:54:52.3638838Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3639206Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3639581Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T06:54:52.3639964Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T06:54:52.3640129Z 2025-09-07T06:54:52.3640229Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3640561Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3640861Z return mod(*inputs) 2025-09-07T06:54:52.3641162Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3641498Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3641803Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3642120Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3642443Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T06:54:52.3642782Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T06:54:52.3643130Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3643505Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3643887Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T06:54:52.3644283Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T06:54:52.3644441Z 2025-09-07T06:54:52.3644540Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3644876Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3645277Z return mod(*inputs) 2025-09-07T06:54:52.3645602Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3645937Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3646252Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3646584Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3646938Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T06:54:52.3647292Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T06:54:52.3647639Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3648018Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3648399Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T06:54:52.3648794Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T06:54:52.3648952Z 2025-09-07T06:54:52.3649058Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3649386Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3649689Z return mod(*inputs) 2025-09-07T06:54:52.3650043Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3650388Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3650697Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3651018Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3651349Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T06:54:52.3651723Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T06:54:52.3652081Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3652448Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3652605Z 2025-09-07T06:54:52.3652703Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3653043Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3653349Z return mod(*inputs) 2025-09-07T06:54:52.3653658Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3654001Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3654313Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3654633Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3654969Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3655314Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3655668Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3656039Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3656404Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3656775Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3657153Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T06:54:52.3657507Z query, key, value = [ 2025-09-07T06:54:52.3657853Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T06:54:52.3658291Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T06:54:52.3658444Z 2025-09-07T06:54:52.3658542Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3658879Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3659181Z return mod(*inputs) 2025-09-07T06:54:52.3659496Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3659837Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3660143Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3660463Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3660794Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3661147Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3661507Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3661869Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3662222Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3662578Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3662985Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T06:54:52.3663327Z query, key, value = [ 2025-09-07T06:54:52.3663666Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T06:54:52.3664055Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T06:54:52.3664204Z 2025-09-07T06:54:52.3664311Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3664641Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3664933Z return mod(*inputs) 2025-09-07T06:54:52.3665243Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3665579Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3665882Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3666191Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3666514Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3666863Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3667209Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3667575Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3667923Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3668282Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3668658Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T06:54:52.3669064Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T06:54:52.3669456Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T06:54:52.3669861Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T06:54:52.3670055Z 2025-09-07T06:54:52.3670153Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3670485Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3670784Z return mod(*inputs) 2025-09-07T06:54:52.3671121Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3671453Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3671758Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3672074Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3672403Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3672740Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3673089Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3673453Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3673811Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3674170Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3674545Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T06:54:52.3674945Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T06:54:52.3675450Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T06:54:52.3676105Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T06:54:52.3676330Z 2025-09-07T06:54:52.3676455Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3676864Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3677253Z return mod(*inputs) 2025-09-07T06:54:52.3677682Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3678060Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3678437Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3678821Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3679216Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3679638Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3680025Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3680458Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3680896Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3681320Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3681746Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T06:54:52.3682212Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T06:54:52.3682682Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T06:54:52.3683136Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T06:54:52.3683367Z 2025-09-07T06:54:52.3683520Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3683915Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3702622Z return mod(*inputs) 2025-09-07T06:54:52.3703143Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3703504Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3703836Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3704314Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3704649Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3705011Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3705372Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3705753Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3706130Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3706494Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3706889Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T06:54:52.3707244Z query, key, value = [ 2025-09-07T06:54:52.3707595Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T06:54:52.3708008Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T06:54:52.3708168Z 2025-09-07T06:54:52.3708272Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3708624Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3708941Z return mod(*inputs) 2025-09-07T06:54:52.3709318Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3709660Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3709981Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3710312Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3710652Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3711010Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3711359Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3711737Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3712107Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3712482Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3712867Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T06:54:52.3713281Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T06:54:52.3713690Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T06:54:52.3714057Z return torch.matmul(p_attn, value), p_attn 2025-09-07T06:54:52.3714198Z 2025-09-07T06:54:52.3714311Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3714895Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3715210Z return mod(*inputs) 2025-09-07T06:54:52.3715535Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3715888Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3716218Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3716534Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3716870Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3717222Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3717586Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3718044Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3718416Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3718793Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3719187Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T06:54:52.3719607Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T06:54:52.3720008Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T06:54:52.3720383Z return torch.matmul(p_attn, value), p_attn 2025-09-07T06:54:52.3720528Z 2025-09-07T06:54:52.3720631Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3720976Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3721292Z return mod(*inputs) 2025-09-07T06:54:52.3721607Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3721952Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3722265Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3722596Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3722984Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3723344Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3723699Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3724077Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3724447Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3724824Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3725272Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-09-07T06:54:52.3725720Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-09-07T06:54:52.3725920Z 2025-09-07T06:54:52.3726028Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3726392Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3726698Z return mod(*inputs) 2025-09-07T06:54:52.3727007Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3727361Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3727681Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3728008Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3728344Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3728694Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3729055Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3729435Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3729808Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3730176Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3730556Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward 2025-09-07T06:54:52.3730920Z return self.output_linear(x) 2025-09-07T06:54:52.3731047Z 2025-09-07T06:54:52.3731149Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3731371Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3731443Z return mod(*inputs) 2025-09-07T06:54:52.3731659Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3731746Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3731937Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3732007Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3732216Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T06:54:52.3732299Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T06:54:52.3732512Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3732616Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3732835Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T06:54:52.3732952Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T06:54:52.3732956Z 2025-09-07T06:54:52.3733053Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3733285Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3733348Z return mod(*inputs) 2025-09-07T06:54:52.3733558Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3733631Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3733822Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3733897Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3734105Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T06:54:52.3734196Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T06:54:52.3734407Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3734504Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3734736Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T06:54:52.3734847Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T06:54:52.3734851Z 2025-09-07T06:54:52.3734955Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3735138Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3735200Z return mod(*inputs) 2025-09-07T06:54:52.3735422Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3735493Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3735689Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3735760Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3735965Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T06:54:52.3736060Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T06:54:52.3736269Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3736374Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3736595Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T06:54:52.3736711Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T06:54:52.3736742Z 2025-09-07T06:54:52.3736841Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3737020Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3737092Z return mod(*inputs) 2025-09-07T06:54:52.3737298Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3737374Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3737564Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3737636Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3737846Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3737929Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3738147Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3738249Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3738458Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3738563Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3738788Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T06:54:52.3738891Z query, key, value = [ 2025-09-07T06:54:52.3739131Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T06:54:52.3739245Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T06:54:52.3739249Z 2025-09-07T06:54:52.3739347Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3739527Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3739601Z return mod(*inputs) 2025-09-07T06:54:52.3739812Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3739887Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3740075Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3740145Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3740360Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3740443Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3740660Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3740757Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3740966Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3741072Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3741295Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T06:54:52.3741367Z query, key, value = [ 2025-09-07T06:54:52.3741601Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T06:54:52.3741712Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T06:54:52.3741716Z 2025-09-07T06:54:52.3741811Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3741992Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3742061Z return mod(*inputs) 2025-09-07T06:54:52.3742271Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3742383Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3742572Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3742641Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3742858Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3742941Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3743158Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3743255Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3743465Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3743566Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3743789Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T06:54:52.3743923Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T06:54:52.3744139Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T06:54:52.3744290Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T06:54:52.3744294Z 2025-09-07T06:54:52.3744421Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3744611Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3744671Z return mod(*inputs) 2025-09-07T06:54:52.3744879Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3744954Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3745144Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3745224Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3745429Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3745509Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3745726Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3745824Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3746033Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3746132Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3746356Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T06:54:52.3746482Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T06:54:52.3746701Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T06:54:52.3746849Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T06:54:52.3746853Z 2025-09-07T06:54:52.3746948Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3747136Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3747200Z return mod(*inputs) 2025-09-07T06:54:52.3747410Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3747482Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3747670Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3747748Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3747950Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3748063Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3748277Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3748374Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3748587Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3748687Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3748909Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T06:54:52.3749035Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T06:54:52.3749253Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T06:54:52.3749399Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T06:54:52.3749402Z 2025-09-07T06:54:52.3749498Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3749684Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3749745Z return mod(*inputs) 2025-09-07T06:54:52.3749980Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3750058Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3750248Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3750325Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3750526Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3750607Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3750825Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3750922Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3751134Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3751234Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3751466Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T06:54:52.3751531Z query, key, value = [ 2025-09-07T06:54:52.3751765Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T06:54:52.3751876Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T06:54:52.3751879Z 2025-09-07T06:54:52.3751974Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3752163Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3752226Z return mod(*inputs) 2025-09-07T06:54:52.3752433Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3752509Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3752698Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3752776Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3752982Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3753062Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3753278Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3753375Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3753622Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3753721Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3753949Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T06:54:52.3754068Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T06:54:52.3754292Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T06:54:52.3754385Z return torch.matmul(p_attn, value), p_attn 2025-09-07T06:54:52.3754389Z 2025-09-07T06:54:52.3754486Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3754680Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3754744Z return mod(*inputs) 2025-09-07T06:54:52.3754964Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3755042Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3755236Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3755314Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3755522Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3755641Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3755860Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3755971Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3756179Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3756277Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3756515Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T06:54:52.3756636Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T06:54:52.3756857Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T06:54:52.3756950Z return torch.matmul(p_attn, value), p_attn 2025-09-07T06:54:52.3756957Z 2025-09-07T06:54:52.3757054Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3757244Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3757306Z return mod(*inputs) 2025-09-07T06:54:52.3757523Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3757599Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3757800Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3757877Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3758088Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3758180Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3758397Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3758496Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3758712Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3758814Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3759049Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-09-07T06:54:52.3759209Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-09-07T06:54:52.3759213Z 2025-09-07T06:54:52.3759310Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3759499Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3759561Z return mod(*inputs) 2025-09-07T06:54:52.3759785Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3759854Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3760054Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3760124Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3760334Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3760424Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3760641Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3760749Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3760959Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3761061Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3761325Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward 2025-09-07T06:54:52.3761400Z return self.output_linear(x) 2025-09-07T06:54:52.3761404Z 2025-09-07T06:54:52.3761510Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3761696Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3761760Z return mod(*inputs) 2025-09-07T06:54:52.3761984Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3762055Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3762256Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3762327Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3762549Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T06:54:52.3762637Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T06:54:52.3762856Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3762964Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3763193Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T06:54:52.3763310Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T06:54:52.3763316Z 2025-09-07T06:54:52.3763416Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3763601Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3763672Z return mod(*inputs) 2025-09-07T06:54:52.3763887Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3763963Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3764161Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3764235Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3764451Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T06:54:52.3764535Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T06:54:52.3764761Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3764918Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3765150Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T06:54:52.3765332Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T06:54:52.3765338Z 2025-09-07T06:54:52.3765440Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3765639Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3765703Z return mod(*inputs) 2025-09-07T06:54:52.3765976Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3766054Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3766256Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3766331Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3766551Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T06:54:52.3766648Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T06:54:52.3766870Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3766968Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3767219Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T06:54:52.3767341Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T06:54:52.3767344Z 2025-09-07T06:54:52.3767442Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3767636Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3767699Z return mod(*inputs) 2025-09-07T06:54:52.3767919Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3767994Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3768187Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3768265Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3768475Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T06:54:52.3768564Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T06:54:52.3768779Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3768878Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3768881Z 2025-09-07T06:54:52.3768997Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3769177Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3769248Z return mod(*inputs) 2025-09-07T06:54:52.3769459Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3769524Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3769721Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3769792Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3770004Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3770086Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3770296Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3770400Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3770632Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3770741Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3770967Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T06:54:52.3771042Z query, key, value = [ 2025-09-07T06:54:52.3771280Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T06:54:52.3771381Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T06:54:52.3771385Z 2025-09-07T06:54:52.3771489Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3771669Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3771737Z return mod(*inputs) 2025-09-07T06:54:52.3771948Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3772021Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3772216Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3772287Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3772496Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3772605Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3772822Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3772920Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3773120Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3773227Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3773453Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T06:54:52.3773526Z query, key, value = [ 2025-09-07T06:54:52.3773759Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T06:54:52.3773858Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T06:54:52.3773861Z 2025-09-07T06:54:52.3773966Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3774144Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3774212Z return mod(*inputs) 2025-09-07T06:54:52.3774422Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3774489Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3774683Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3774754Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3774964Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3775046Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3775260Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3775360Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3775563Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3775673Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3775896Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T06:54:52.3776025Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T06:54:52.3776278Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T06:54:52.3776415Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T06:54:52.3776427Z 2025-09-07T06:54:52.3776523Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3776705Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3776778Z return mod(*inputs) 2025-09-07T06:54:52.3776987Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3777062Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3777250Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3777319Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3777529Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3777613Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3777826Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3777923Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3778123Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3778269Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3778494Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T06:54:52.3778619Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T06:54:52.3778834Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T06:54:52.3778973Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T06:54:52.3778983Z 2025-09-07T06:54:52.3779079Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3779257Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3779326Z return mod(*inputs) 2025-09-07T06:54:52.3779536Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3779610Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3779795Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3779861Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3780069Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3780150Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3780366Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3780462Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3780664Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3780769Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3780994Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T06:54:52.3781120Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T06:54:52.3781332Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T06:54:52.3781475Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T06:54:52.3781478Z 2025-09-07T06:54:52.3781602Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3781779Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3781846Z return mod(*inputs) 2025-09-07T06:54:52.3782054Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3782128Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3782318Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3782387Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3782599Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3782682Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3782897Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3782997Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3783198Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3783306Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3783528Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T06:54:52.3783599Z query, key, value = [ 2025-09-07T06:54:52.3783859Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T06:54:52.3783969Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T06:54:52.3783972Z 2025-09-07T06:54:52.3784068Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3784245Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3784314Z return mod(*inputs) 2025-09-07T06:54:52.3784526Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3784602Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3784789Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3784859Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3785071Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3785156Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3785373Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3785469Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3785676Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3785779Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3786002Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T06:54:52.3786126Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T06:54:52.3786344Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T06:54:52.3786435Z return torch.matmul(p_attn, value), p_attn 2025-09-07T06:54:52.3786438Z 2025-09-07T06:54:52.3786535Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3786713Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3786784Z return mod(*inputs) 2025-09-07T06:54:52.3786991Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3787065Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3787276Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3787345Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3787552Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3787633Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3787849Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3787945Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3788154Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3788252Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3788473Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T06:54:52.3788600Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T06:54:52.3788814Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T06:54:52.3788903Z return torch.matmul(p_attn, value), p_attn 2025-09-07T06:54:52.3788906Z 2025-09-07T06:54:52.3789000Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3789206Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3789276Z return mod(*inputs) 2025-09-07T06:54:52.3789485Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3789560Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3789748Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3789823Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3790028Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3790109Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3790322Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3790419Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3790629Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3790729Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3790951Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-09-07T06:54:52.3791086Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-09-07T06:54:52.3791090Z 2025-09-07T06:54:52.3791185Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3791375Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3791436Z return mod(*inputs) 2025-09-07T06:54:52.3791643Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3791718Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3791906Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3791982Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3792183Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3792272Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3792478Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3792608Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3792816Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3792915Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3793145Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward 2025-09-07T06:54:52.3793215Z return self.output_linear(x) 2025-09-07T06:54:52.3793219Z 2025-09-07T06:54:52.3793317Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3793503Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3793564Z return mod(*inputs) 2025-09-07T06:54:52.3793781Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3793849Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3794040Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3794114Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3794328Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T06:54:52.3794423Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T06:54:52.3794691Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3794804Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3795038Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T06:54:52.3795154Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T06:54:52.3795158Z 2025-09-07T06:54:52.3795268Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3795461Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3795535Z return mod(*inputs) 2025-09-07T06:54:52.3795760Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3795831Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3796067Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3796148Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3796388Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T06:54:52.3796480Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T06:54:52.3796731Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3796841Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3797093Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T06:54:52.3797221Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T06:54:52.3797225Z 2025-09-07T06:54:52.3797334Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3797555Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3797625Z return mod(*inputs) 2025-09-07T06:54:52.3797873Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3797957Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3798178Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3798262Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3798491Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T06:54:52.3798616Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T06:54:52.3798861Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3798973Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3799229Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T06:54:52.3799354Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T06:54:52.3799357Z 2025-09-07T06:54:52.3799472Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3799687Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3799756Z return mod(*inputs) 2025-09-07T06:54:52.3800002Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3800080Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3800308Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3800387Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3800620Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3800720Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3800987Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3801104Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3801335Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3801448Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3801712Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T06:54:52.3801788Z query, key, value = [ 2025-09-07T06:54:52.3802062Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T06:54:52.3802175Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T06:54:52.3802178Z 2025-09-07T06:54:52.3802295Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3802512Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3802583Z return mod(*inputs) 2025-09-07T06:54:52.3802838Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3802915Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3803142Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3803221Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3803455Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3803554Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3803791Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3803904Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3804149Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3804263Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3804525Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T06:54:52.3804598Z query, key, value = [ 2025-09-07T06:54:52.3804865Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T06:54:52.3805021Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T06:54:52.3805025Z 2025-09-07T06:54:52.3805134Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3805441Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3805516Z return mod(*inputs) 2025-09-07T06:54:52.3805759Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3805843Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3806068Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3806156Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3806396Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3806499Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3806749Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3806863Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3807101Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3807208Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3807625Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T06:54:52.3807760Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T06:54:52.3807993Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T06:54:52.3808151Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T06:54:52.3808158Z 2025-09-07T06:54:52.3808260Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3808460Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3808526Z return mod(*inputs) 2025-09-07T06:54:52.3808759Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3808831Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3809037Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3809122Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3809339Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3809434Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3809657Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3809763Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3809986Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3810092Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3810341Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T06:54:52.3810470Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T06:54:52.3810701Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T06:54:52.3810854Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T06:54:52.3810857Z 2025-09-07T06:54:52.3810958Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3811157Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3811254Z return mod(*inputs) 2025-09-07T06:54:52.3811484Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3811556Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3811759Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3811839Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3812063Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3812158Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3812383Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3812489Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3812715Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3812826Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3813074Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T06:54:52.3813200Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T06:54:52.3813471Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T06:54:52.3813626Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T06:54:52.3813630Z 2025-09-07T06:54:52.3813738Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3813952Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3814020Z return mod(*inputs) 2025-09-07T06:54:52.3814274Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3814495Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3814708Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3814790Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3815020Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3815125Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3815363Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3815475Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3815713Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3815828Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3816096Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T06:54:52.3816169Z query, key, value = [ 2025-09-07T06:54:52.3816449Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T06:54:52.3816557Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T06:54:52.3816561Z 2025-09-07T06:54:52.3816666Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3816869Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3816935Z return mod(*inputs) 2025-09-07T06:54:52.3817171Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3817243Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3817448Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3817600Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3817832Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3817933Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3818171Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3818285Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3818521Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3818635Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3818896Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T06:54:52.3819030Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T06:54:52.3819286Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T06:54:52.3819379Z return torch.matmul(p_attn, value), p_attn 2025-09-07T06:54:52.3819383Z 2025-09-07T06:54:52.3819492Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3819708Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3819835Z return mod(*inputs) 2025-09-07T06:54:52.3820086Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3820161Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3820377Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3820461Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3820695Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3820797Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3821034Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3821152Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3821384Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3821500Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3821765Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T06:54:52.3821897Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T06:54:52.3822149Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T06:54:52.3822246Z return torch.matmul(p_attn, value), p_attn 2025-09-07T06:54:52.3822250Z 2025-09-07T06:54:52.3822357Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3822570Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3822638Z return mod(*inputs) 2025-09-07T06:54:52.3822884Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3822964Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3823180Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3823264Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3823495Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3823596Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3823834Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3823991Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3824222Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3824334Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3824577Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-09-07T06:54:52.3824701Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-09-07T06:54:52.3824705Z 2025-09-07T06:54:52.3824806Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3824983Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3825043Z return mod(*inputs) 2025-09-07T06:54:52.3825259Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3825326Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3825517Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3825584Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3825791Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3825898Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3826107Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3826210Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3826409Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3826515Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3826738Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward 2025-09-07T06:54:52.3826808Z return self.output_linear(x) 2025-09-07T06:54:52.3826811Z 2025-09-07T06:54:52.3826912Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3827089Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3827156Z return mod(*inputs) 2025-09-07T06:54:52.3827367Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3827432Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3827623Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3827691Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3827897Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T06:54:52.3827981Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T06:54:52.3828194Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3828291Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3828510Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T06:54:52.3828624Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T06:54:52.3828627Z 2025-09-07T06:54:52.3828723Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3828908Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3828968Z return mod(*inputs) 2025-09-07T06:54:52.3829175Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3829275Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3829463Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3829540Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3829745Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T06:54:52.3829826Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T06:54:52.3830044Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3830141Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3830373Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T06:54:52.3830477Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T06:54:52.3830481Z 2025-09-07T06:54:52.3830582Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3830765Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3830825Z return mod(*inputs) 2025-09-07T06:54:52.3831042Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3831108Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3831331Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3831402Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3831604Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T06:54:52.3831693Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T06:54:52.3831900Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3832003Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3832223Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T06:54:52.3832333Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T06:54:52.3832336Z 2025-09-07T06:54:52.3832430Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3832606Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3832676Z return mod(*inputs) 2025-09-07T06:54:52.3832883Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3832954Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3833139Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3833207Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3833414Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T06:54:52.3833497Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T06:54:52.3833709Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3833805Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3833808Z 2025-09-07T06:54:52.3833908Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3834086Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3834147Z return mod(*inputs) 2025-09-07T06:54:52.3834358Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3834423Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3834617Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3834718Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3834921Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3835009Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3835216Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3835322Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3835524Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3835623Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3835852Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T06:54:52.3835915Z query, key, value = [ 2025-09-07T06:54:52.3836155Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T06:54:52.3836261Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T06:54:52.3836264Z 2025-09-07T06:54:52.3836365Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3836542Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3836603Z return mod(*inputs) 2025-09-07T06:54:52.3836845Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3836914Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3837107Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3837174Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3837375Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3837465Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3837671Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3837771Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3837974Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3838076Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3838306Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T06:54:52.3838369Z query, key, value = [ 2025-09-07T06:54:52.3838604Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T06:54:52.3838701Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T06:54:52.3838704Z 2025-09-07T06:54:52.3838806Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3838981Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3839041Z return mod(*inputs) 2025-09-07T06:54:52.3839253Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3839319Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3839511Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3839580Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3839779Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3839866Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3840072Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3840215Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3840412Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3840511Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3840740Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T06:54:52.3840860Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T06:54:52.3841082Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T06:54:52.3841220Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T06:54:52.3841224Z 2025-09-07T06:54:52.3841323Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3841503Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3841566Z return mod(*inputs) 2025-09-07T06:54:52.3841783Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3841849Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3842042Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3842110Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3843151Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3843254Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3843472Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3843584Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3843795Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3843913Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3844145Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T06:54:52.3844269Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T06:54:52.3844503Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T06:54:52.3844646Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T06:54:52.3844650Z 2025-09-07T06:54:52.3844760Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3844947Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3845014Z return mod(*inputs) 2025-09-07T06:54:52.3845310Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3845391Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3845597Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3845668Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3845881Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3845976Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3846193Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3846301Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3846509Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3846620Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3846889Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T06:54:52.3847011Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T06:54:52.3847239Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T06:54:52.3847380Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T06:54:52.3847386Z 2025-09-07T06:54:52.3847517Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3847706Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3847770Z return mod(*inputs) 2025-09-07T06:54:52.3848038Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3848121Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3848324Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3848394Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3848610Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3848694Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3848937Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3849044Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3849249Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3849357Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3849585Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T06:54:52.3849653Z query, key, value = [ 2025-09-07T06:54:52.3849897Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T06:54:52.3849998Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T06:54:52.3850001Z 2025-09-07T06:54:52.3850105Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3850286Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3850357Z return mod(*inputs) 2025-09-07T06:54:52.3850572Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3850640Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3850836Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3850907Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3851120Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3851205Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3851419Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3851522Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3851728Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3851836Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3852062Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T06:54:52.3852182Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T06:54:52.3852408Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T06:54:52.3852520Z return torch.matmul(p_attn, value), p_attn 2025-09-07T06:54:52.3852524Z 2025-09-07T06:54:52.3852627Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3852810Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3852880Z return mod(*inputs) 2025-09-07T06:54:52.3853093Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3853165Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3853365Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3853436Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3853650Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3853733Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3853952Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3854058Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3854263Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3854370Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3854626Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T06:54:52.3854746Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T06:54:52.3854971Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T06:54:52.3855054Z return torch.matmul(p_attn, value), p_attn 2025-09-07T06:54:52.3855057Z 2025-09-07T06:54:52.3855161Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3855349Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3855418Z return mod(*inputs) 2025-09-07T06:54:52.3855631Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3855699Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3855899Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3855971Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3856184Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3856268Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3856482Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3856587Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3856797Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3856905Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3857134Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-09-07T06:54:52.3857269Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-09-07T06:54:52.3857275Z 2025-09-07T06:54:52.3857374Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3857556Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3857624Z return mod(*inputs) 2025-09-07T06:54:52.3857837Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3857910Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3858152Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3858223Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3858436Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3858519Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3858738Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3858838Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3859042Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3859150Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3859376Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward 2025-09-07T06:54:52.3859456Z return self.output_linear(x) 2025-09-07T06:54:52.3859459Z 2025-09-07T06:54:52.3859567Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3859747Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3859807Z return mod(*inputs) 2025-09-07T06:54:52.3860014Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3860111Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3860301Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3860382Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3860583Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T06:54:52.3860663Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T06:54:52.3860878Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3860977Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3861202Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T06:54:52.3861310Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T06:54:52.3861313Z 2025-09-07T06:54:52.3861413Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3861594Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3861655Z return mod(*inputs) 2025-09-07T06:54:52.3861871Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3861936Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3862132Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3862202Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3862403Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T06:54:52.3862490Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T06:54:52.3862696Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3862803Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3863022Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T06:54:52.3863130Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T06:54:52.3863140Z 2025-09-07T06:54:52.3863236Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3863415Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3863523Z return mod(*inputs) 2025-09-07T06:54:52.3863734Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3863806Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3863996Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3864065Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3864279Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T06:54:52.3864361Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T06:54:52.3864574Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3864670Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3864886Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T06:54:52.3865000Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T06:54:52.3865003Z 2025-09-07T06:54:52.3865096Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3865281Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3865342Z return mod(*inputs) 2025-09-07T06:54:52.3865575Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3865648Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3865834Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3865908Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3866111Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3866199Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3866409Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3866505Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3866714Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3866814Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3867046Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T06:54:52.3867109Z query, key, value = [ 2025-09-07T06:54:52.3867341Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T06:54:52.3867448Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T06:54:52.3867451Z 2025-09-07T06:54:52.3867546Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3867732Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3867793Z return mod(*inputs) 2025-09-07T06:54:52.3868008Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3868073Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3868260Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3868338Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3868540Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3868628Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3868839Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3868936Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3869173Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3869274Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3869501Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T06:54:52.3869566Z query, key, value = [ 2025-09-07T06:54:52.3869798Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T06:54:52.3869906Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T06:54:52.3869909Z 2025-09-07T06:54:52.3870003Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3870188Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3870249Z return mod(*inputs) 2025-09-07T06:54:52.3870464Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3870535Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3870722Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3870800Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3871003Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3871153Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3871360Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3871457Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3871662Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3871762Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3871993Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T06:54:52.3872110Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T06:54:52.3872325Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T06:54:52.3872473Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T06:54:52.3872477Z 2025-09-07T06:54:52.3872571Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3872756Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3872818Z return mod(*inputs) 2025-09-07T06:54:52.3873031Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3873099Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3873288Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3873368Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3873572Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3873664Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3873873Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3873970Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3874183Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3874283Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3874512Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T06:54:52.3874658Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T06:54:52.3874876Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T06:54:52.3875011Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T06:54:52.3875015Z 2025-09-07T06:54:52.3875109Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3875297Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3875361Z return mod(*inputs) 2025-09-07T06:54:52.3875583Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3875652Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3875851Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3875933Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3876142Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3876230Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3876446Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3876545Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3876788Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3876894Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3877138Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T06:54:52.3877254Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T06:54:52.3877475Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T06:54:52.3877613Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T06:54:52.3877616Z 2025-09-07T06:54:52.3877713Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3877898Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3877958Z return mod(*inputs) 2025-09-07T06:54:52.3878178Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3878246Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3878438Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3878515Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3878725Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3878817Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3879033Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3879140Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3879347Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3879453Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3879688Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T06:54:52.3879752Z query, key, value = [ 2025-09-07T06:54:52.3879998Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T06:54:52.3880100Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T06:54:52.3880130Z 2025-09-07T06:54:52.3880228Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3880421Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3880483Z return mod(*inputs) 2025-09-07T06:54:52.3880707Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3880774Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3880977Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3881049Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3881257Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3881346Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3881559Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3881667Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3881877Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3881979Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3882215Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T06:54:52.3882371Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T06:54:52.3882602Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T06:54:52.3882686Z return torch.matmul(p_attn, value), p_attn 2025-09-07T06:54:52.3882690Z 2025-09-07T06:54:52.3882785Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3882974Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3883040Z return mod(*inputs) 2025-09-07T06:54:52.3883258Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3883326Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3883527Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3883597Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3883807Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3883900Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3884113Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3884221Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3884426Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3884532Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3884770Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T06:54:52.3884889Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T06:54:52.3885118Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T06:54:52.3885266Z return torch.matmul(p_attn, value), p_attn 2025-09-07T06:54:52.3885273Z 2025-09-07T06:54:52.3885389Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3885575Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3885638Z return mod(*inputs) 2025-09-07T06:54:52.3885860Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3885965Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3886168Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3886241Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3886456Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3886553Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3886775Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3886887Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3887101Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3887208Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3887454Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-09-07T06:54:52.3887591Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-09-07T06:54:52.3887595Z 2025-09-07T06:54:52.3887703Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3887891Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3887961Z return mod(*inputs) 2025-09-07T06:54:52.3888219Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3888290Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3888490Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3888561Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3888775Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3888860Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3889071Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3889179Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3889387Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3889497Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3889725Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward 2025-09-07T06:54:52.3889796Z return self.output_linear(x) 2025-09-07T06:54:52.3889806Z 2025-09-07T06:54:52.3889905Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3890089Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3890160Z return mod(*inputs) 2025-09-07T06:54:52.3890374Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3890450Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3890641Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3890711Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3890928Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T06:54:52.3891011Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T06:54:52.3891229Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3891327Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3891550Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T06:54:52.3891697Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T06:54:52.3891700Z 2025-09-07T06:54:52.3891795Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3891983Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3892045Z return mod(*inputs) 2025-09-07T06:54:52.3892267Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3892334Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3892528Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3892605Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3892813Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T06:54:52.3892901Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T06:54:52.3893116Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3893214Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3893444Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T06:54:52.3893551Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T06:54:52.3893554Z 2025-09-07T06:54:52.3893683Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3893866Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3893927Z return mod(*inputs) 2025-09-07T06:54:52.3894148Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3894214Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3894411Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3894483Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3894696Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T06:54:52.3894778Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T06:54:52.3894992Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3895099Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3895322Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T06:54:52.3895435Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T06:54:52.3895438Z 2025-09-07T06:54:52.3895535Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3895715Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3895788Z return mod(*inputs) 2025-09-07T06:54:52.3896002Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3896076Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3896270Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3896339Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3896556Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T06:54:52.3896637Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T06:54:52.3896857Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3896958Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3896961Z 2025-09-07T06:54:52.3897095Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3897277Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3897339Z return mod(*inputs) 2025-09-07T06:54:52.3897562Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3897629Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3897830Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3897901Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3898109Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3898199Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3898413Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3898521Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3898728Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3898830Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3899066Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T06:54:52.3899132Z query, key, value = [ 2025-09-07T06:54:52.3899408Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T06:54:52.3899513Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T06:54:52.3899516Z 2025-09-07T06:54:52.3899620Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3899803Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3899865Z return mod(*inputs) 2025-09-07T06:54:52.3900089Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3900157Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3900356Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3900427Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3900637Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3900728Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3900941Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3901050Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3901258Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3901370Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3901601Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T06:54:52.3901666Z query, key, value = [ 2025-09-07T06:54:52.3901914Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T06:54:52.3902019Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T06:54:52.3902022Z 2025-09-07T06:54:52.3902124Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3902307Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3902370Z return mod(*inputs) 2025-09-07T06:54:52.3902590Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3902660Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3902887Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3902957Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3903170Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3903263Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3903480Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3903589Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3903796Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3903910Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3904140Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T06:54:52.3904268Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T06:54:52.3904500Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T06:54:52.3904644Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T06:54:52.3904648Z 2025-09-07T06:54:52.3904756Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3904981Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3905045Z return mod(*inputs) 2025-09-07T06:54:52.3905266Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3905335Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3905534Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3905605Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3905818Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3905901Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3906114Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3906221Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3906432Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3906541Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3906771Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T06:54:52.3906889Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T06:54:52.3907118Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T06:54:52.3907260Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T06:54:52.3907263Z 2025-09-07T06:54:52.3907366Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3907547Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3907615Z return mod(*inputs) 2025-09-07T06:54:52.3907831Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3907897Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3908094Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3908164Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3908379Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3908497Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3908709Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3908816Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3909020Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3909129Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3909359Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T06:54:52.3909478Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T06:54:52.3909705Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T06:54:52.3909844Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T06:54:52.3909850Z 2025-09-07T06:54:52.3909954Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3910138Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3910209Z return mod(*inputs) 2025-09-07T06:54:52.3910422Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3910518Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3910718Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3910788Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3910999Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3911081Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3911292Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3911401Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3911604Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3911712Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3911944Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T06:54:52.3912011Z query, key, value = [ 2025-09-07T06:54:52.3912255Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T06:54:52.3912358Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T06:54:52.3912361Z 2025-09-07T06:54:52.3912464Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3912646Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3912720Z return mod(*inputs) 2025-09-07T06:54:52.3912933Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3913001Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3913200Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3913270Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3913482Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3913566Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3913775Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3913886Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3914090Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3914227Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3914577Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T06:54:52.3914711Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T06:54:52.3914944Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T06:54:52.3915036Z return torch.matmul(p_attn, value), p_attn 2025-09-07T06:54:52.3915040Z 2025-09-07T06:54:52.3915153Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3915351Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3915426Z return mod(*inputs) 2025-09-07T06:54:52.3915663Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3915737Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3915945Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3916019Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3916248Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3916387Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3916596Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3916703Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3916906Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3917014Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3917241Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T06:54:52.3917367Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T06:54:52.3917582Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T06:54:52.3917664Z return torch.matmul(p_attn, value), p_attn 2025-09-07T06:54:52.3917667Z 2025-09-07T06:54:52.3917773Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3917952Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3918020Z return mod(*inputs) 2025-09-07T06:54:52.3918230Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3918297Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3918495Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3918568Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3918778Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3918862Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3919077Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3919178Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3919381Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3919488Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3919713Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-09-07T06:54:52.3919845Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-09-07T06:54:52.3919886Z 2025-09-07T06:54:52.3919980Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3920157Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3920225Z return mod(*inputs) 2025-09-07T06:54:52.3920432Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3920510Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3920698Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3920766Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3920975Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3921055Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3921268Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3921365Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3921573Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3921671Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3921922Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward 2025-09-07T06:54:52.3921999Z return self.output_linear(x) 2025-09-07T06:54:52.3922003Z 2025-09-07T06:54:52.3922096Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3922281Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3922344Z return mod(*inputs) 2025-09-07T06:54:52.3922553Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3922631Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3922818Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3922894Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3923148Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T06:54:52.3923232Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T06:54:52.3923455Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3923555Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3923787Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T06:54:52.3923899Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T06:54:52.3923902Z 2025-09-07T06:54:52.3924008Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3924193Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3924255Z return mod(*inputs) 2025-09-07T06:54:52.3924480Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3924549Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3924753Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3924823Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3925033Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T06:54:52.3925124Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T06:54:52.3925403Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3925560Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3925789Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T06:54:52.3925909Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T06:54:52.3925912Z 2025-09-07T06:54:52.3926014Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3926203Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3926280Z return mod(*inputs) 2025-09-07T06:54:52.3926500Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3926578Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3926776Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3926849Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3927077Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T06:54:52.3927161Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T06:54:52.3927389Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3927492Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3927751Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T06:54:52.3927873Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T06:54:52.3927876Z 2025-09-07T06:54:52.3927975Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3928188Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3928251Z return mod(*inputs) 2025-09-07T06:54:52.3928493Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3928566Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3928765Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3928845Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3929059Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3929152Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3929370Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3929470Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3929690Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3929796Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3930043Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T06:54:52.3930110Z query, key, value = [ 2025-09-07T06:54:52.3930354Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T06:54:52.3930465Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T06:54:52.3930468Z 2025-09-07T06:54:52.3930569Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3930768Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3930831Z return mod(*inputs) 2025-09-07T06:54:52.3931075Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3931145Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3931342Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3931457Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3931683Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3931776Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3931994Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3932100Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3932319Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3932423Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3932675Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T06:54:52.3932742Z query, key, value = [ 2025-09-07T06:54:52.3932999Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T06:54:52.3933104Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T06:54:52.3933107Z 2025-09-07T06:54:52.3933207Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3933402Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3933497Z return mod(*inputs) 2025-09-07T06:54:52.3933723Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3933794Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3933990Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3934069Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3934282Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3934376Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3934596Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3934695Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3934910Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3935015Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3935253Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T06:54:52.3935376Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T06:54:52.3935608Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T06:54:52.3935753Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T06:54:52.3935759Z 2025-09-07T06:54:52.3935857Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3936053Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3936116Z return mod(*inputs) 2025-09-07T06:54:52.3936339Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3936412Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3936609Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3936687Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3936899Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3936989Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3937238Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3937346Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3937559Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3937674Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3937911Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T06:54:52.3938035Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T06:54:52.3938260Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T06:54:52.3938410Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T06:54:52.3938413Z 2025-09-07T06:54:52.3938510Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3938697Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3938757Z return mod(*inputs) 2025-09-07T06:54:52.3938971Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3939040Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3939254Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3939333Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3939535Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3939623Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3939830Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3939933Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3940136Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3940235Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3940464Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T06:54:52.3940580Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T06:54:52.3940799Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T06:54:52.3940934Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T06:54:52.3940937Z 2025-09-07T06:54:52.3941039Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3941218Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3941281Z return mod(*inputs) 2025-09-07T06:54:52.3941495Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3941561Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3941753Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3941820Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3942024Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3942114Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3942322Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3942426Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3942626Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3942754Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3942983Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T06:54:52.3943048Z query, key, value = [ 2025-09-07T06:54:52.3943297Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T06:54:52.3943401Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T06:54:52.3943404Z 2025-09-07T06:54:52.3943508Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3943702Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3943763Z return mod(*inputs) 2025-09-07T06:54:52.3943980Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3944049Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3944242Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3944311Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3944512Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3944602Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3944854Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3944963Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3945165Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3945264Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3945495Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T06:54:52.3945613Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T06:54:52.3945836Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T06:54:52.3945919Z return torch.matmul(p_attn, value), p_attn 2025-09-07T06:54:52.3945923Z 2025-09-07T06:54:52.3946027Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3946214Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3946277Z return mod(*inputs) 2025-09-07T06:54:52.3946497Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3946566Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3946774Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3946845Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3947050Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3947140Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3947350Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3947452Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3947658Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3947758Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3947988Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T06:54:52.3948107Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T06:54:52.3948329Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T06:54:52.3948449Z return torch.matmul(p_attn, value), p_attn 2025-09-07T06:54:52.3948452Z 2025-09-07T06:54:52.3948552Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3948730Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3948790Z return mod(*inputs) 2025-09-07T06:54:52.3949004Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3949071Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3949262Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3949330Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3949531Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3949621Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3949828Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3949933Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3950133Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3950238Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3950487Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-09-07T06:54:52.3950614Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-09-07T06:54:52.3950617Z 2025-09-07T06:54:52.3950721Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3950903Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3950975Z return mod(*inputs) 2025-09-07T06:54:52.3951184Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3951252Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3951450Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3951520Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3951732Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T06:54:52.3951814Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T06:54:52.3952024Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3952129Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3952333Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T06:54:52.3952440Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T06:54:52.3952665Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward 2025-09-07T06:54:52.3952741Z return self.output_linear(x) 2025-09-07T06:54:52.3952744Z 2025-09-07T06:54:52.3952839Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3953022Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3953091Z return mod(*inputs) 2025-09-07T06:54:52.3953301Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3953375Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3953564Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3953634Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3953875Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T06:54:52.3953956Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T06:54:52.3954171Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3954266Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3954487Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T06:54:52.3954603Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T06:54:52.3954606Z 2025-09-07T06:54:52.3954702Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3954886Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3954947Z return mod(*inputs) 2025-09-07T06:54:52.3955162Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3955231Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3955417Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3955492Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3955695Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T06:54:52.3955806Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T06:54:52.3956014Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3956109Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3956338Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T06:54:52.3956444Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T06:54:52.3956449Z 2025-09-07T06:54:52.3956549Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3956725Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3956793Z return mod(*inputs) 2025-09-07T06:54:52.3957004Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3957070Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3957266Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3957335Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3957546Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T06:54:52.3957627Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T06:54:52.3957838Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3957945Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3958164Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T06:54:52.3958277Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T06:54:52.3958280Z 2025-09-07T06:54:52.3958374Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3958560Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3958621Z return mod(*inputs) 2025-09-07T06:54:52.3958830Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T06:54:52.3958903Z x = self.bert(x, segment_label) 2025-09-07T06:54:52.3959095Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T06:54:52.3959198Z x = transformer.forward(x, mask) 2025-09-07T06:54:52.3959404Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T06:54:52.3959488Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T06:54:52.3959707Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T06:54:52.3959805Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T06:54:52.3959811Z 2025-09-07T06:54:52.3959913Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3960095Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3960158Z return mod(*inputs) 2025-09-07T06:54:52.3960378Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 25, in forward 2025-09-07T06:54:52.3960467Z return self.next_sentence(x), self.mask_lm(x) 2025-09-07T06:54:52.3960694Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 42, in forward 2025-09-07T06:54:52.3960777Z return self.softmax(self.linear(x[:, 0])) 2025-09-07T06:54:52.3960781Z 2025-09-07T06:54:52.3960884Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:52.3961068Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:54:52.3961129Z return mod(*inputs) 2025-09-07T06:54:52.3961386Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 25, in forward 2025-09-07T06:54:52.3961474Z return self.next_sentence(x), self.mask_lm(x) 2025-09-07T06:54:52.3961696Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 61, in forward 2025-09-07T06:54:52.3961770Z return self.softmax(self.linear(x)) 2025-09-07T06:54:52.3961774Z 2025-09-07T06:55:11.8624305Z Compilation time (from dynamo_timed): 41.070327594 2025-09-07T06:55:11.8676770Z pass 2025-09-07T06:55:11.8680212Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T06:55:11.8681014Z TIMING: _recursive_pre_grad_passes:0.00795 _recursive_joint_graph_passes:1.12828 _recursive_post_grad_passes:0.87504 async_compile.wait:0.64424 code_gen:18.14778 inductor_compile:22.91095 backend_compile:34.71789 gc:0.00067 entire_frame_compile:41.07033 total_wall_time:41.07033 2025-09-07T06:55:11.8682088Z STATS: call_* op count: 543 | FakeTensor.__torch_dispatch__:5366 | FakeTensorMode.__torch_dispatch__:17317 | attempt fast:84 | fast is_contiguous:84 | ProxyTorchDispatchMode.__torch_dispatch__:6314 2025-09-07T06:55:11.8682641Z Dynamo produced 1 graphs covering 543 ops with 0 graph breaks (0 unique) 2025-09-07T06:55:14.9069437Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T06:55:14.9070869Z import pynvml # type: ignore[import] 2025-09-07T06:55:16.8584167Z 2025-09-07T06:55:19.5535085Z loading model: 0it [00:00, ?it/s] 2025-09-07T06:55:19.5536711Z loading model: 0it [00:02, ?it/s] 2025-09-07T06:55:19.5543668Z cpu eval Background_Matting 2025-09-07T06:55:19.6172332Z Compilation time (from dynamo_timed): 0 2025-09-07T06:55:19.6172821Z pass_due_to_skip 2025-09-07T06:55:19.6173141Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T06:55:19.6174061Z TIMING: total_wall_time:0 2025-09-07T06:55:19.6174480Z STATS: call_* op count: 0 2025-09-07T06:55:19.6179632Z Dynamo produced 0 graphs covering 0 ops with 0 graph breaks (0 unique) 2025-09-07T06:55:20.7173448Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T06:55:20.7174766Z import pynvml # type: ignore[import] 2025-09-07T06:55:22.6241082Z 2025-09-07T06:55:24.2791068Z loading model: 0it [00:00, ?it/s] 2025-09-07T06:55:24.2791359Z loading model: 0it [00:01, ?it/s] 2025-09-07T06:55:24.2791762Z cpu eval LearningToPaint 2025-09-07T06:55:24.3627204Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T06:55:24.3972463Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T06:55:24.4230689Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T06:55:30.1320624Z cudagraph partition due to non gpu ops 2025-09-07T06:55:30.1320932Z cudagraph partition due to non gpu ops 2025-09-07T06:55:30.1321251Z cudagraph partition due to non gpu ops 2025-09-07T06:55:30.1321457Z cudagraph partition due to non gpu ops 2025-09-07T06:55:30.1321661Z cudagraph partition due to non gpu ops 2025-09-07T06:55:30.1321856Z cudagraph partition due to non gpu ops 2025-09-07T06:55:30.1322064Z cudagraph partition due to non gpu ops 2025-09-07T06:55:30.1322268Z cudagraph partition due to non gpu ops 2025-09-07T06:55:30.1322468Z cudagraph partition due to non gpu ops 2025-09-07T06:55:30.1322665Z cudagraph partition due to non gpu ops 2025-09-07T06:55:30.1323224Z cudagraph partition due to non gpu ops 2025-09-07T06:55:30.1323437Z cudagraph partition due to non gpu ops 2025-09-07T06:55:30.1323642Z cudagraph partition due to non gpu ops 2025-09-07T06:55:30.1323844Z cudagraph partition due to non gpu ops 2025-09-07T06:55:30.1324037Z cudagraph partition due to non gpu ops 2025-09-07T06:55:30.1324237Z cudagraph partition due to non gpu ops 2025-09-07T06:55:30.1324439Z cudagraph partition due to non gpu ops 2025-09-07T06:55:30.1324644Z cudagraph partition due to non gpu ops 2025-09-07T06:55:30.1324875Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:55:30.1325358Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:55:30.1325698Z return mod(*inputs) 2025-09-07T06:55:30.1326061Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 128, in forward 2025-09-07T06:55:30.1326472Z x = F.relu(self.bn1(self.conv1(x))) 2025-09-07T06:55:30.1326630Z 2025-09-07T06:55:30.1326771Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:55:30.1327151Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:55:30.1327468Z return mod(*inputs) 2025-09-07T06:55:30.1327784Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 128, in forward 2025-09-07T06:55:30.1328120Z x = F.relu(self.bn1(self.conv1(x))) 2025-09-07T06:55:30.1328258Z 2025-09-07T06:55:30.1328360Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:55:30.1328704Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:55:30.1329018Z return mod(*inputs) 2025-09-07T06:55:30.1329333Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward 2025-09-07T06:55:30.1329676Z x = self.layer1(x) 2025-09-07T06:55:30.1329993Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-09-07T06:55:30.1330348Z out = F.relu(self.bn1(self.conv1(x))) 2025-09-07T06:55:30.1330480Z 2025-09-07T06:55:30.1330586Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:55:30.1330926Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:55:30.1331241Z return mod(*inputs) 2025-09-07T06:55:30.1331551Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward 2025-09-07T06:55:30.1332026Z x = self.layer1(x) 2025-09-07T06:55:30.1332336Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-09-07T06:55:30.1332686Z out = F.relu(self.bn1(self.conv1(x))) 2025-09-07T06:55:30.1332827Z 2025-09-07T06:55:30.1332926Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:55:30.1333278Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:55:30.1333593Z return mod(*inputs) 2025-09-07T06:55:30.1333895Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward 2025-09-07T06:55:30.1334232Z x = self.layer1(x) 2025-09-07T06:55:30.1334543Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward 2025-09-07T06:55:30.1334884Z out = self.bn2(self.conv2(out)) 2025-09-07T06:55:30.1335009Z 2025-09-07T06:55:30.1335112Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:55:30.1335458Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:55:30.1335766Z return mod(*inputs) 2025-09-07T06:55:30.1336072Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward 2025-09-07T06:55:30.1336401Z x = self.layer1(x) 2025-09-07T06:55:30.1336744Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 56, in forward 2025-09-07T06:55:30.1337078Z out += self.shortcut(x) 2025-09-07T06:55:30.1337188Z 2025-09-07T06:55:30.1337297Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:55:30.1337638Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:55:30.1337943Z return mod(*inputs) 2025-09-07T06:55:30.1338251Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward 2025-09-07T06:55:30.1338581Z x = self.layer1(x) 2025-09-07T06:55:30.1338884Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-09-07T06:55:30.1339222Z out = F.relu(self.bn1(self.conv1(x))) 2025-09-07T06:55:30.1339352Z 2025-09-07T06:55:30.1339452Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:55:30.1339795Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:55:30.1340108Z return mod(*inputs) 2025-09-07T06:55:30.1340417Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward 2025-09-07T06:55:30.1340741Z x = self.layer1(x) 2025-09-07T06:55:30.1341028Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-09-07T06:55:30.1341346Z out = F.relu(self.bn1(self.conv1(x))) 2025-09-07T06:55:30.1341467Z 2025-09-07T06:55:30.1341567Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:55:30.1341888Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:55:30.1342171Z return mod(*inputs) 2025-09-07T06:55:30.1342462Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward 2025-09-07T06:55:30.1342770Z x = self.layer1(x) 2025-09-07T06:55:30.1343057Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward 2025-09-07T06:55:30.1343374Z out = self.bn2(self.conv2(out)) 2025-09-07T06:55:30.1343498Z 2025-09-07T06:55:30.1343593Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:55:30.1343913Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:55:30.1344203Z return mod(*inputs) 2025-09-07T06:55:30.1344494Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward 2025-09-07T06:55:30.1344839Z x = self.layer1(x) 2025-09-07T06:55:30.1345124Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 57, in forward 2025-09-07T06:55:30.1345436Z out = F.relu(out) 2025-09-07T06:55:30.1345527Z 2025-09-07T06:55:30.1345629Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:55:30.1345946Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:55:30.1346238Z return mod(*inputs) 2025-09-07T06:55:30.1346531Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward 2025-09-07T06:55:30.1346846Z x = self.layer2(x) 2025-09-07T06:55:30.1347126Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-09-07T06:55:30.1347449Z out = F.relu(self.bn1(self.conv1(x))) 2025-09-07T06:55:30.1347577Z 2025-09-07T06:55:30.1347669Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:55:30.1347998Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:55:30.1348295Z return mod(*inputs) 2025-09-07T06:55:30.1348578Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward 2025-09-07T06:55:30.1348887Z x = self.layer2(x) 2025-09-07T06:55:30.1349172Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-09-07T06:55:30.1349531Z out = F.relu(self.bn1(self.conv1(x))) 2025-09-07T06:55:30.1349654Z 2025-09-07T06:55:30.1349756Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:55:30.1350070Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:55:30.1350364Z return mod(*inputs) 2025-09-07T06:55:30.1350659Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward 2025-09-07T06:55:30.1350971Z x = self.layer2(x) 2025-09-07T06:55:30.1351253Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward 2025-09-07T06:55:30.1351574Z out = self.bn2(self.conv2(out)) 2025-09-07T06:55:30.1351694Z 2025-09-07T06:55:30.1351788Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:55:30.1352111Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:55:30.1352405Z return mod(*inputs) 2025-09-07T06:55:30.1352693Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward 2025-09-07T06:55:30.1353013Z x = self.layer2(x) 2025-09-07T06:55:30.1353313Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 56, in forward 2025-09-07T06:55:30.1353641Z out += self.shortcut(x) 2025-09-07T06:55:30.1353751Z 2025-09-07T06:55:30.1353848Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:55:30.1354193Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:55:30.1354505Z return mod(*inputs) 2025-09-07T06:55:30.1354823Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward 2025-09-07T06:55:30.1355135Z x = self.layer2(x) 2025-09-07T06:55:30.1355432Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-09-07T06:55:30.1355763Z out = F.relu(self.bn1(self.conv1(x))) 2025-09-07T06:55:30.1355890Z 2025-09-07T06:55:30.1356004Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:55:30.1356328Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:55:30.1356616Z return mod(*inputs) 2025-09-07T06:55:30.1356910Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward 2025-09-07T06:55:30.1357279Z x = self.layer2(x) 2025-09-07T06:55:30.1357599Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-09-07T06:55:30.1357991Z out = F.relu(self.bn1(self.conv1(x))) 2025-09-07T06:55:30.1358117Z 2025-09-07T06:55:30.1358223Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:55:30.1358586Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:55:30.1358912Z return mod(*inputs) 2025-09-07T06:55:30.1359241Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward 2025-09-07T06:55:30.1359571Z x = self.layer2(x) 2025-09-07T06:55:30.1359866Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward 2025-09-07T06:55:30.1360201Z out = self.bn2(self.conv2(out)) 2025-09-07T06:55:30.1360329Z 2025-09-07T06:55:30.1360427Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:55:30.1360772Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:55:30.1361086Z return mod(*inputs) 2025-09-07T06:55:30.1361387Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward 2025-09-07T06:55:30.1361717Z x = self.layer2(x) 2025-09-07T06:55:30.1362023Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 57, in forward 2025-09-07T06:55:30.1362344Z out = F.relu(out) 2025-09-07T06:55:30.1362437Z 2025-09-07T06:55:30.1362567Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:55:30.1362911Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:55:30.1363235Z return mod(*inputs) 2025-09-07T06:55:30.1363542Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward 2025-09-07T06:55:30.1363869Z x = self.layer3(x) 2025-09-07T06:55:30.1364168Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-09-07T06:55:30.1364508Z out = F.relu(self.bn1(self.conv1(x))) 2025-09-07T06:55:30.1364642Z 2025-09-07T06:55:30.1364741Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:55:30.1365080Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:55:30.1365592Z return mod(*inputs) 2025-09-07T06:55:30.1365912Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward 2025-09-07T06:55:30.1366248Z x = self.layer3(x) 2025-09-07T06:55:30.1366563Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-09-07T06:55:30.1366912Z out = F.relu(self.bn1(self.conv1(x))) 2025-09-07T06:55:30.1367035Z 2025-09-07T06:55:30.1367131Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:55:30.1367466Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:55:30.1367771Z return mod(*inputs) 2025-09-07T06:55:30.1368074Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward 2025-09-07T06:55:30.1368393Z x = self.layer3(x) 2025-09-07T06:55:30.1368688Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward 2025-09-07T06:55:30.1369017Z out = self.bn2(self.conv2(out)) 2025-09-07T06:55:30.1369135Z 2025-09-07T06:55:30.1369241Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:55:30.1369573Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:55:30.1369868Z return mod(*inputs) 2025-09-07T06:55:30.1370165Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward 2025-09-07T06:55:30.1370488Z x = self.layer3(x) 2025-09-07T06:55:30.1370783Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 56, in forward 2025-09-07T06:55:30.1371168Z out += self.shortcut(x) 2025-09-07T06:55:30.1371282Z 2025-09-07T06:55:30.1371378Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:55:30.1371710Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:55:30.1372038Z return mod(*inputs) 2025-09-07T06:55:30.1372364Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward 2025-09-07T06:55:30.1372705Z x = self.layer3(x) 2025-09-07T06:55:30.1373007Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-09-07T06:55:30.1373346Z out = F.relu(self.bn1(self.conv1(x))) 2025-09-07T06:55:30.1373475Z 2025-09-07T06:55:30.1373582Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:55:30.1373913Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:55:30.1374236Z return mod(*inputs) 2025-09-07T06:55:30.1374536Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward 2025-09-07T06:55:30.1374856Z x = self.layer3(x) 2025-09-07T06:55:30.1375150Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-09-07T06:55:30.1375470Z out = F.relu(self.bn1(self.conv1(x))) 2025-09-07T06:55:30.1375601Z 2025-09-07T06:55:30.1375697Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:55:30.1376062Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:55:30.1376363Z return mod(*inputs) 2025-09-07T06:55:30.1376655Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward 2025-09-07T06:55:30.1376978Z x = self.layer3(x) 2025-09-07T06:55:30.1377272Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward 2025-09-07T06:55:30.1377598Z out = self.bn2(self.conv2(out)) 2025-09-07T06:55:30.1377716Z 2025-09-07T06:55:30.1377819Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:55:30.1378143Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:55:30.1378444Z return mod(*inputs) 2025-09-07T06:55:30.1378743Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward 2025-09-07T06:55:30.1379063Z x = self.layer3(x) 2025-09-07T06:55:30.1379353Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 57, in forward 2025-09-07T06:55:30.1379670Z out = F.relu(out) 2025-09-07T06:55:30.1379769Z 2025-09-07T06:55:30.1379865Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:55:30.1380196Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:55:30.1380500Z return mod(*inputs) 2025-09-07T06:55:30.1380795Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward 2025-09-07T06:55:30.1381118Z x = self.layer4(x) 2025-09-07T06:55:30.1381422Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-09-07T06:55:30.1381814Z out = F.relu(self.bn1(self.conv1(x))) 2025-09-07T06:55:30.1381939Z 2025-09-07T06:55:30.1382036Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:55:30.1382374Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:55:30.1382677Z return mod(*inputs) 2025-09-07T06:55:30.1382979Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward 2025-09-07T06:55:30.1383299Z x = self.layer4(x) 2025-09-07T06:55:30.1383590Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-09-07T06:55:30.1383921Z out = F.relu(self.bn1(self.conv1(x))) 2025-09-07T06:55:30.1384077Z 2025-09-07T06:55:30.1384181Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:55:30.1384515Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:55:30.1384808Z return mod(*inputs) 2025-09-07T06:55:30.1385107Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward 2025-09-07T06:55:30.1385429Z x = self.layer4(x) 2025-09-07T06:55:30.1385724Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward 2025-09-07T06:55:30.1386043Z out = self.bn2(self.conv2(out)) 2025-09-07T06:55:30.1386166Z 2025-09-07T06:55:30.1386262Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:55:30.1386598Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:55:30.1386900Z return mod(*inputs) 2025-09-07T06:55:30.1387199Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward 2025-09-07T06:55:30.1387516Z x = self.layer4(x) 2025-09-07T06:55:30.1387811Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 56, in forward 2025-09-07T06:55:30.1388135Z out += self.shortcut(x) 2025-09-07T06:55:30.1388238Z 2025-09-07T06:55:30.1388371Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:55:30.1388731Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:55:30.1389027Z return mod(*inputs) 2025-09-07T06:55:30.1389328Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward 2025-09-07T06:55:30.1389650Z x = self.layer4(x) 2025-09-07T06:55:30.1389948Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-09-07T06:55:30.1390284Z out = F.relu(self.bn1(self.conv1(x))) 2025-09-07T06:55:30.1390413Z 2025-09-07T06:55:30.1390510Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:55:30.1390842Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:55:30.1391147Z return mod(*inputs) 2025-09-07T06:55:30.1391444Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward 2025-09-07T06:55:30.1391758Z x = self.layer4(x) 2025-09-07T06:55:30.1392056Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-09-07T06:55:30.1392384Z out = F.relu(self.bn1(self.conv1(x))) 2025-09-07T06:55:30.1392508Z 2025-09-07T06:55:30.1392609Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:55:30.1392943Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:55:30.1393277Z return mod(*inputs) 2025-09-07T06:55:30.1393573Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward 2025-09-07T06:55:30.1393896Z x = self.layer4(x) 2025-09-07T06:55:30.1394189Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward 2025-09-07T06:55:30.1394507Z out = self.bn2(self.conv2(out)) 2025-09-07T06:55:30.1394632Z 2025-09-07T06:55:30.1394728Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:55:30.1395064Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:55:30.1395365Z return mod(*inputs) 2025-09-07T06:55:30.1395661Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward 2025-09-07T06:55:30.1395975Z x = self.layer4(x) 2025-09-07T06:55:30.1396269Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 57, in forward 2025-09-07T06:55:30.1396588Z out = F.relu(out) 2025-09-07T06:55:30.1396681Z 2025-09-07T06:55:30.1396816Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:55:30.1397143Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:55:30.1397448Z return mod(*inputs) 2025-09-07T06:55:30.1397762Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 133, in forward 2025-09-07T06:55:30.1398087Z x = F.avg_pool2d(x, 4) 2025-09-07T06:55:30.1398190Z 2025-09-07T06:55:30.1398294Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:55:30.1398613Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:55:30.1398909Z return mod(*inputs) 2025-09-07T06:55:30.1399205Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 135, in forward 2025-09-07T06:55:30.1399518Z x = self.fc(x) 2025-09-07T06:55:30.1399606Z 2025-09-07T06:55:30.1399699Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:55:30.1400029Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T06:55:30.1400323Z return mod(*inputs) 2025-09-07T06:55:30.1400620Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 136, in forward 2025-09-07T06:55:30.1400942Z x = torch.sigmoid(x) 2025-09-07T06:55:30.1401044Z 2025-09-07T06:55:40.3432627Z Compilation time (from dynamo_timed): 15.104299943 2025-09-07T06:55:40.3433146Z pass 2025-09-07T06:55:40.3438601Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T06:55:40.3444609Z TIMING: _recursive_pre_grad_passes:0.00472 _recursive_joint_graph_passes:0.1277 _recursive_post_grad_passes:0.04364 async_compile.wait:0.7105 code_gen:9.22899 inductor_compile:10.45116 backend_compile:12.61453 gc:0.0017 entire_frame_compile:15.1043 total_wall_time:15.1043 2025-09-07T06:55:40.3445979Z STATS: call_* op count: 71 | FakeTensorMode.__torch_dispatch__:4733 | attempt fast:38 | fast is_contiguous:38 | FakeTensor.__torch_dispatch__:2120 | ProxyTorchDispatchMode.__torch_dispatch__:1906 2025-09-07T06:55:40.3446632Z Dynamo produced 1 graphs covering 71 ops with 0 graph breaks (0 unique) 2025-09-07T06:55:42.2818492Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T06:55:42.2819384Z import pynvml # type: ignore[import] 2025-09-07T06:55:44.2007537Z 2025-09-07T06:55:45.0532049Z 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 2025-09-07T06:55:45.0665232Z 2025-09-07T06:55:45.0665268Z 2025-09-07T06:55:45.1664889Z 0% 0.00/528M [00:00 2025-09-07T07:22:20.2075784Z _x: List[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)] 2025-09-07T07:22:20.2075966Z 2025-09-07T07:22:20.2076071Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:22:20.2076503Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward 2025-09-07T07:22:20.2076920Z feat_concat = self.fpn(feats) 2025-09-07T07:22:20.2077320Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 83, in forward 2025-09-07T07:22:20.2077786Z _x: List[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)] 2025-09-07T07:22:20.2078264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 83, in 2025-09-07T07:22:20.2078735Z _x: List[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)] 2025-09-07T07:22:20.2078924Z 2025-09-07T07:22:20.2079022Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:22:20.2079464Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward 2025-09-07T07:22:20.2079885Z feat_concat = self.fpn(feats) 2025-09-07T07:22:20.2080296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 83, in forward 2025-09-07T07:22:20.2080802Z _x: List[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)] 2025-09-07T07:22:20.2081290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 83, in 2025-09-07T07:22:20.2081775Z _x: List[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)] 2025-09-07T07:22:20.2081966Z 2025-09-07T07:22:20.2082077Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:22:20.2082543Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward 2025-09-07T07:22:20.2083001Z feat_concat = self.fpn(feats) 2025-09-07T07:22:20.2083450Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 86, in forward 2025-09-07T07:22:20.2083923Z out.append(self.upsample(out[-1]) + t) 2025-09-07T07:22:20.2084073Z 2025-09-07T07:22:20.2084190Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:22:20.2084688Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward 2025-09-07T07:22:20.2085255Z feat_concat = self.fpn(feats) 2025-09-07T07:22:20.2085774Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 83, in forward 2025-09-07T07:22:20.2086295Z _x: List[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)] 2025-09-07T07:22:20.2086834Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 83, in 2025-09-07T07:22:20.2087373Z _x: List[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)] 2025-09-07T07:22:20.2087582Z 2025-09-07T07:22:20.2087694Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:22:20.2088196Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward 2025-09-07T07:22:20.2088664Z feat_concat = self.fpn(feats) 2025-09-07T07:22:20.2089114Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 86, in forward 2025-09-07T07:22:20.2089589Z out.append(self.upsample(out[-1]) + t) 2025-09-07T07:22:20.2089740Z 2025-09-07T07:22:20.2089852Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:22:20.2090345Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward 2025-09-07T07:22:20.2090805Z feat_concat = self.fpn(feats) 2025-09-07T07:22:20.2091259Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 83, in forward 2025-09-07T07:22:20.2091786Z _x: List[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)] 2025-09-07T07:22:20.2092319Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 83, in 2025-09-07T07:22:20.2092850Z _x: List[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)] 2025-09-07T07:22:20.2093060Z 2025-09-07T07:22:20.2093176Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:22:20.2093646Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward 2025-09-07T07:22:20.2094062Z feat_concat = self.fpn(feats) 2025-09-07T07:22:20.2094457Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 86, in forward 2025-09-07T07:22:20.2094880Z out.append(self.upsample(out[-1]) + t) 2025-09-07T07:22:20.2095051Z 2025-09-07T07:22:20.2095149Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:22:20.2095579Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward 2025-09-07T07:22:20.2095984Z feat_concat = self.fpn(feats) 2025-09-07T07:22:20.2096375Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in forward 2025-09-07T07:22:20.2097020Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-09-07T07:22:20.2097497Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in 2025-09-07T07:22:20.2097974Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-09-07T07:22:20.2098145Z 2025-09-07T07:22:20.2098254Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:22:20.2098691Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward 2025-09-07T07:22:20.2099108Z feat_concat = self.fpn(feats) 2025-09-07T07:22:20.2099513Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in forward 2025-09-07T07:22:20.2100009Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-09-07T07:22:20.2100500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in 2025-09-07T07:22:20.2100962Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-09-07T07:22:20.2101142Z 2025-09-07T07:22:20.2101244Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:22:20.2101695Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward 2025-09-07T07:22:20.2102120Z feat_concat = self.fpn(feats) 2025-09-07T07:22:20.2102531Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in forward 2025-09-07T07:22:20.2103009Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-09-07T07:22:20.2103474Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in 2025-09-07T07:22:20.2103935Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-09-07T07:22:20.2104108Z 2025-09-07T07:22:20.2104206Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:22:20.2104648Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward 2025-09-07T07:22:20.2105062Z feat_concat = self.fpn(feats) 2025-09-07T07:22:20.2105468Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in forward 2025-09-07T07:22:20.2105916Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-09-07T07:22:20.2106386Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in 2025-09-07T07:22:20.2106878Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-09-07T07:22:20.2107048Z 2025-09-07T07:22:20.2107155Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:22:20.2107626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward 2025-09-07T07:22:20.2108058Z feat_concat = self.fpn(feats) 2025-09-07T07:22:20.2108474Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in forward 2025-09-07T07:22:20.2108982Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-09-07T07:22:20.2109458Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in 2025-09-07T07:22:20.2109912Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-09-07T07:22:20.2110076Z 2025-09-07T07:22:20.2110176Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:22:20.2110611Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward 2025-09-07T07:22:20.2111018Z feat_concat = self.fpn(feats) 2025-09-07T07:22:20.2111419Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in forward 2025-09-07T07:22:20.2111868Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-09-07T07:22:20.2112320Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in 2025-09-07T07:22:20.2112778Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-09-07T07:22:20.2112949Z 2025-09-07T07:22:20.2113048Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:22:20.2113517Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward 2025-09-07T07:22:20.2113932Z feat_concat = self.fpn(feats) 2025-09-07T07:22:20.2114487Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in forward 2025-09-07T07:22:20.2114971Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-09-07T07:22:20.2115451Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in 2025-09-07T07:22:20.2115996Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-09-07T07:22:20.2116160Z 2025-09-07T07:22:20.2116269Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:22:20.2116704Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward 2025-09-07T07:22:20.2117123Z feat_concat = self.fpn(feats) 2025-09-07T07:22:20.2117526Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in forward 2025-09-07T07:22:20.2117982Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-09-07T07:22:20.2118442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in 2025-09-07T07:22:20.2118906Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-09-07T07:22:20.2119071Z 2025-09-07T07:22:20.2119169Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:22:20.2119607Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward 2025-09-07T07:22:20.2120015Z feat_concat = self.fpn(feats) 2025-09-07T07:22:20.2120414Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 91, in forward 2025-09-07T07:22:20.2120822Z return torch.cat(out, dim=1) 2025-09-07T07:22:20.2120939Z 2025-09-07T07:22:20.2121019Z cudagraph partition due to non gpu ops 2025-09-07T07:22:20.2121251Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:22:20.2121697Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 194, in forward 2025-09-07T07:22:20.2122201Z logits = self.prob_head(feat_concat) 2025-09-07T07:22:20.2122334Z 2025-09-07T07:22:20.2122437Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:22:20.2122894Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 194, in forward 2025-09-07T07:22:20.2123333Z logits = self.prob_head(feat_concat) 2025-09-07T07:22:20.2123464Z 2025-09-07T07:22:20.2123576Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:22:20.2124032Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 194, in forward 2025-09-07T07:22:20.2124463Z logits = self.prob_head(feat_concat) 2025-09-07T07:22:20.2124601Z 2025-09-07T07:22:20.2124701Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:22:20.2125208Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 194, in forward 2025-09-07T07:22:20.2125654Z logits = self.prob_head(feat_concat) 2025-09-07T07:22:20.2125783Z 2025-09-07T07:22:20.2125877Z cudagraph partition due to non gpu ops 2025-09-07T07:22:20.2126120Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:22:20.2126614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward 2025-09-07T07:22:20.2127121Z prob_map = _bf16_to_float32(torch.sigmoid(logits)) 2025-09-07T07:22:20.2127275Z 2025-09-07T07:22:35.7162140Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:22:35.7164174Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/core.py", line 95, in __call__ 2025-09-07T07:22:35.7164620Z for bmap in (proba_map >= self.bin_thresh).astype(np.uint8) 2025-09-07T07:22:35.7164800Z 2025-09-07T07:22:37.4094320Z Compilation time (from dynamo_timed): 28.812523386 2025-09-07T07:22:37.4094820Z pass 2025-09-07T07:22:37.4100037Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:22:37.4100998Z TIMING: gc:0.00378 entire_frame_compile:28.81252 _recursive_pre_grad_passes:0.00874 _recursive_joint_graph_passes:0.17018 _recursive_post_grad_passes:0.127 async_compile.wait:1.14758 code_gen:14.13553 inductor_compile:16.44647 backend_compile:20.15548 total_wall_time:28.81252 2025-09-07T07:22:37.4102102Z STATS: call_* op count: 230 | FakeTensorMode.__torch_dispatch__:17210 | FakeTensor.__torch_dispatch__:7874 | ProxyTorchDispatchMode.__torch_dispatch__:6953 2025-09-07T07:22:37.4102713Z Dynamo produced 4 graphs covering 230 ops with 5 graph breaks (2 unique) 2025-09-07T07:22:39.3451442Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T07:22:39.3452364Z import pynvml # type: ignore[import] 2025-09-07T07:22:41.2938809Z 2025-09-07T07:22:43.6896646Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:22:43.6902072Z loading model: 0it [00:02, ?it/s] 2025-09-07T07:22:43.6902375Z cpu eval doctr_reco_predictor 2025-09-07T07:22:43.8912629Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:22:43.9388726Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:22:43.9801788Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:22:58.5181380Z cudagraph partition due to non gpu ops 2025-09-07T07:22:58.5181937Z cudagraph partition due to non gpu ops 2025-09-07T07:22:58.5182320Z cudagraph partition due to non gpu ops 2025-09-07T07:22:58.5182702Z cudagraph partition due to non gpu ops 2025-09-07T07:22:58.5183626Z cudagraph partition due to non gpu ops 2025-09-07T07:22:58.5184318Z cudagraph partition due to non gpu ops 2025-09-07T07:22:58.5184816Z cudagraph partition due to non gpu ops 2025-09-07T07:22:58.5185095Z cudagraph partition due to non gpu ops 2025-09-07T07:22:58.5185316Z cudagraph partition due to non gpu ops 2025-09-07T07:22:58.5185514Z cudagraph partition due to non gpu ops 2025-09-07T07:22:58.5185717Z cudagraph partition due to non gpu ops 2025-09-07T07:22:58.5185924Z cudagraph partition due to non gpu ops 2025-09-07T07:22:58.5186148Z cudagraph partition due to non gpu ops 2025-09-07T07:22:58.5186368Z cudagraph partition due to non gpu ops 2025-09-07T07:22:58.5186611Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:22:58.5187097Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-09-07T07:22:58.5187503Z features = self.feat_extractor(x) 2025-09-07T07:22:58.5187635Z 2025-09-07T07:22:58.5187741Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:22:58.5188159Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-09-07T07:22:58.5188560Z features = self.feat_extractor(x) 2025-09-07T07:22:58.5188695Z 2025-09-07T07:22:58.5188812Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:22:58.5189254Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-09-07T07:22:58.5189950Z features = self.feat_extractor(x) 2025-09-07T07:22:58.5190084Z 2025-09-07T07:22:58.5190183Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:22:58.5190619Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-09-07T07:22:58.5191000Z features = self.feat_extractor(x) 2025-09-07T07:22:58.5191134Z 2025-09-07T07:22:58.5191250Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:22:58.5191674Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-09-07T07:22:58.5192134Z features = self.feat_extractor(x) 2025-09-07T07:22:58.5192299Z 2025-09-07T07:22:58.5192401Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:22:58.5192812Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-09-07T07:22:58.5193184Z features = self.feat_extractor(x) 2025-09-07T07:22:58.5193305Z 2025-09-07T07:22:58.5193402Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:22:58.5193792Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-09-07T07:22:58.5194158Z features = self.feat_extractor(x) 2025-09-07T07:22:58.5194276Z 2025-09-07T07:22:58.5194380Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:22:58.5194780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-09-07T07:22:58.5195152Z features = self.feat_extractor(x) 2025-09-07T07:22:58.5195281Z 2025-09-07T07:22:58.5195378Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:22:58.5195780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-09-07T07:22:58.5196155Z features = self.feat_extractor(x) 2025-09-07T07:22:58.5196279Z 2025-09-07T07:22:58.5196384Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:22:58.5196776Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-09-07T07:22:58.5197147Z features = self.feat_extractor(x) 2025-09-07T07:22:58.5197295Z 2025-09-07T07:22:58.5197398Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:22:58.5197795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-09-07T07:22:58.5198261Z features = self.feat_extractor(x) 2025-09-07T07:22:58.5198385Z 2025-09-07T07:22:58.5198491Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:22:58.5198891Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-09-07T07:22:58.5199272Z features = self.feat_extractor(x) 2025-09-07T07:22:58.5199406Z 2025-09-07T07:22:58.5199509Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:22:58.5199914Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-09-07T07:22:58.5200299Z features = self.feat_extractor(x) 2025-09-07T07:22:58.5200425Z 2025-09-07T07:22:58.5200525Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:22:58.5200931Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-09-07T07:22:58.5201316Z features = self.feat_extractor(x) 2025-09-07T07:22:58.5201443Z 2025-09-07T07:22:58.5201552Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:22:58.5201946Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-09-07T07:22:58.5202395Z features = self.feat_extractor(x) 2025-09-07T07:22:58.5202538Z 2025-09-07T07:22:58.5202694Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:22:58.5203134Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-09-07T07:22:58.5203551Z features = self.feat_extractor(x) 2025-09-07T07:22:58.5203683Z 2025-09-07T07:22:58.5203789Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:22:58.5204225Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-09-07T07:22:58.5204632Z features = self.feat_extractor(x) 2025-09-07T07:22:58.5204765Z 2025-09-07T07:22:58.5204880Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:22:58.5205460Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-09-07T07:22:58.5205873Z features = self.feat_extractor(x) 2025-09-07T07:22:58.5206016Z 2025-09-07T07:22:58.5206128Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:22:58.5206556Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-09-07T07:22:58.5206956Z features = self.feat_extractor(x) 2025-09-07T07:22:58.5207080Z 2025-09-07T07:22:58.5207188Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:22:58.5207583Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-09-07T07:22:58.5207991Z features = self.feat_extractor(x) 2025-09-07T07:22:58.5208127Z 2025-09-07T07:22:58.5208244Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:22:58.5208650Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-09-07T07:22:58.5209030Z features = self.feat_extractor(x) 2025-09-07T07:22:58.5209155Z 2025-09-07T07:22:58.5209257Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:22:58.5209663Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-09-07T07:22:58.5210042Z features = self.feat_extractor(x) 2025-09-07T07:22:58.5210166Z 2025-09-07T07:22:58.5210273Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:22:58.5210667Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-09-07T07:22:58.5211088Z features = self.feat_extractor(x) 2025-09-07T07:22:58.5211215Z 2025-09-07T07:22:58.5211312Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:22:58.5211717Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-09-07T07:22:58.5212096Z features = self.feat_extractor(x) 2025-09-07T07:22:58.5212219Z 2025-09-07T07:22:58.5212317Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:22:58.5212717Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-09-07T07:22:58.5213082Z features = self.feat_extractor(x) 2025-09-07T07:22:58.5213201Z 2025-09-07T07:22:58.5213306Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:22:58.5213692Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-09-07T07:22:58.5214058Z features = self.feat_extractor(x) 2025-09-07T07:22:58.5214187Z 2025-09-07T07:22:58.5214283Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:22:58.5214969Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-09-07T07:22:58.5215346Z features = self.feat_extractor(x) 2025-09-07T07:22:58.5215468Z 2025-09-07T07:22:58.5215575Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:22:58.5216032Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-09-07T07:22:58.5216407Z features = self.feat_extractor(x) 2025-09-07T07:22:58.5216537Z 2025-09-07T07:22:58.5216634Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:22:58.5217028Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-09-07T07:22:58.5217403Z features = self.feat_extractor(x) 2025-09-07T07:22:58.5217528Z 2025-09-07T07:22:58.5217628Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:22:58.5218024Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-09-07T07:22:58.5218404Z features = self.feat_extractor(x) 2025-09-07T07:22:58.5218525Z 2025-09-07T07:22:58.5218630Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:22:58.5219030Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-09-07T07:22:58.5219394Z features = self.feat_extractor(x) 2025-09-07T07:22:58.5219523Z 2025-09-07T07:23:01.8233356Z E0907 07:23:01.821299 15873 site-packages/torch/fx/experimental/recording.py:315] [2/0] failed while running evaluate_expr(*(u0, None, u0, False, False, False, None), **{}) 2025-09-07T07:23:01.8994298Z E0907 07:23:01.897834 15873 site-packages/torch/fx/experimental/recording.py:315] [3/0] failed while running evaluate_expr(*(u0, None, u0, False, False, False, None), **{}) 2025-09-07T07:23:02.0176724Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:02.0177394Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 75, in ctc_best_path 2025-09-07T07:23:02.0182311Z probs = F.softmax(logits, dim=-1).max(dim=-1).values.min(dim=1).values 2025-09-07T07:23:02.0182679Z 2025-09-07T07:23:02.8997509Z Compilation time (from dynamo_timed): 17.897216239 2025-09-07T07:23:02.8997809Z pass 2025-09-07T07:23:02.9000052Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:23:02.9000853Z TIMING: gc:0.00336 entire_frame_compile:17.89722 _recursive_pre_grad_passes:0.00481 _recursive_joint_graph_passes:0.41304 _recursive_post_grad_passes:0.03887 async_compile.wait:1.35658 code_gen:3.11904 inductor_compile:3.81836 backend_compile:7.03732 total_wall_time:17.89722 2025-09-07T07:23:02.9002121Z STATS: call_* op count: 56 | FakeTensorMode.__torch_dispatch__:5217 | attempt fast:118 | fast is_contiguous:118 | FakeTensor.__torch_dispatch__:1490 | ProxyTorchDispatchMode.__torch_dispatch__:1316 2025-09-07T07:23:02.9002688Z Dynamo produced 2 graphs covering 56 ops with 4 graph breaks (3 unique) 2025-09-07T07:23:05.0191785Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T07:23:05.0192807Z import pynvml # type: ignore[import] 2025-09-07T07:23:07.0079722Z 2025-09-07T07:23:07.0556892Z loading model: 0it [00:00, ?it/s]Gym has been unmaintained since 2022 and does not support NumPy 2.0 amongst other critical functionality. 2025-09-07T07:23:07.0557707Z Please upgrade to Gymnasium, the maintained drop-in replacement of Gym, or contact the authors of your software and request that they upgrade. 2025-09-07T07:23:07.0559789Z Users of this version of Gym should be able to simply replace 'import gym' with 'import gymnasium as gym' in the vast majority of cases. 2025-09-07T07:23:07.0560350Z See the migration guide at https://gymnasium.farama.org/introduction/migration_guide/ for additional information. 2025-09-07T07:23:07.5914634Z 2025-09-07T07:23:07.5915390Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:23:07.5916089Z cpu eval drq 2025-09-07T07:23:07.6001285Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:23:07.6043270Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:23:07.6082768Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:23:09.7005313Z cudagraph partition due to non gpu ops 2025-09-07T07:23:09.7005689Z cudagraph partition due to non gpu ops 2025-09-07T07:23:09.7005927Z cudagraph partition due to non gpu ops 2025-09-07T07:23:09.7006165Z cudagraph partition due to non gpu ops 2025-09-07T07:23:09.7006488Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:09.7006928Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:23:09.7007304Z return mod(*inputs) 2025-09-07T07:23:09.7007611Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward 2025-09-07T07:23:09.7007905Z obs = self.encoder(obs, detach=detach_encoder) 2025-09-07T07:23:09.7008189Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward 2025-09-07T07:23:09.7008448Z h = self.forward_conv(obs) 2025-09-07T07:23:09.7008715Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 43, in forward_conv 2025-09-07T07:23:09.7009002Z conv = torch.relu(self.convs[0](obs)) 2025-09-07T07:23:09.7009135Z 2025-09-07T07:23:09.7009248Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:09.7009595Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:23:09.7009901Z return mod(*inputs) 2025-09-07T07:23:09.7010137Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward 2025-09-07T07:23:09.7010417Z obs = self.encoder(obs, detach=detach_encoder) 2025-09-07T07:23:09.7010690Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward 2025-09-07T07:23:09.7010944Z h = self.forward_conv(obs) 2025-09-07T07:23:09.7011204Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 47, in forward_conv 2025-09-07T07:23:09.7011486Z conv = torch.relu(self.convs[i](conv)) 2025-09-07T07:23:09.7011609Z 2025-09-07T07:23:09.7011718Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:09.7012058Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:23:09.7012707Z return mod(*inputs) 2025-09-07T07:23:09.7012941Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward 2025-09-07T07:23:09.7013222Z obs = self.encoder(obs, detach=detach_encoder) 2025-09-07T07:23:09.7013496Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward 2025-09-07T07:23:09.7013745Z h = self.forward_conv(obs) 2025-09-07T07:23:09.7014007Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 47, in forward_conv 2025-09-07T07:23:09.7014300Z conv = torch.relu(self.convs[i](conv)) 2025-09-07T07:23:09.7014626Z 2025-09-07T07:23:09.7014740Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:09.7015084Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:23:09.7015402Z return mod(*inputs) 2025-09-07T07:23:09.7015641Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward 2025-09-07T07:23:09.7015930Z obs = self.encoder(obs, detach=detach_encoder) 2025-09-07T07:23:09.7016221Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward 2025-09-07T07:23:09.7016477Z h = self.forward_conv(obs) 2025-09-07T07:23:09.7016739Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 47, in forward_conv 2025-09-07T07:23:09.7017025Z conv = torch.relu(self.convs[i](conv)) 2025-09-07T07:23:09.7017149Z 2025-09-07T07:23:09.7017257Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:09.7017678Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:23:09.7017991Z return mod(*inputs) 2025-09-07T07:23:09.7018225Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward 2025-09-07T07:23:09.7018503Z obs = self.encoder(obs, detach=detach_encoder) 2025-09-07T07:23:09.7018774Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward 2025-09-07T07:23:09.7019023Z h = self.forward_conv(obs) 2025-09-07T07:23:09.7019281Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 47, in forward_conv 2025-09-07T07:23:09.7019562Z conv = torch.relu(self.convs[i](conv)) 2025-09-07T07:23:09.7019686Z 2025-09-07T07:23:09.7019792Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:09.7020121Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:23:09.7020429Z return mod(*inputs) 2025-09-07T07:23:09.7020665Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward 2025-09-07T07:23:09.7020943Z obs = self.encoder(obs, detach=detach_encoder) 2025-09-07T07:23:09.7021206Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 61, in forward 2025-09-07T07:23:09.7021464Z out = self.head(h) 2025-09-07T07:23:09.7021567Z 2025-09-07T07:23:09.7021664Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:09.7022022Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:23:09.7022324Z return mod(*inputs) 2025-09-07T07:23:09.7022555Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward 2025-09-07T07:23:09.7022830Z obs = self.encoder(obs, detach=detach_encoder) 2025-09-07T07:23:09.7023098Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 63, in forward 2025-09-07T07:23:09.7023348Z out = torch.tanh(out) 2025-09-07T07:23:09.7023464Z 2025-09-07T07:23:09.7023563Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:09.7023905Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:23:09.7024215Z return mod(*inputs) 2025-09-07T07:23:09.7024443Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 99, in forward 2025-09-07T07:23:09.7024727Z mu, log_std = self.trunk(obs).chunk(2, dim=-1) 2025-09-07T07:23:09.7024885Z 2025-09-07T07:23:09.7024982Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:09.7025317Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:23:09.7025679Z return mod(*inputs) 2025-09-07T07:23:09.7025901Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 99, in forward 2025-09-07T07:23:09.7026175Z mu, log_std = self.trunk(obs).chunk(2, dim=-1) 2025-09-07T07:23:09.7026316Z 2025-09-07T07:23:09.7026413Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:09.7026746Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:23:09.7027038Z return mod(*inputs) 2025-09-07T07:23:09.7027267Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 99, in forward 2025-09-07T07:23:09.7027539Z mu, log_std = self.trunk(obs).chunk(2, dim=-1) 2025-09-07T07:23:09.7027672Z 2025-09-07T07:23:09.7027779Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:09.7028106Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:23:09.7028401Z return mod(*inputs) 2025-09-07T07:23:09.7028629Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 99, in forward 2025-09-07T07:23:09.7028908Z mu, log_std = self.trunk(obs).chunk(2, dim=-1) 2025-09-07T07:23:09.7029036Z 2025-09-07T07:23:09.7029138Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:09.7029455Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:23:09.7029788Z return mod(*inputs) 2025-09-07T07:23:09.7030013Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 99, in forward 2025-09-07T07:23:09.7030280Z mu, log_std = self.trunk(obs).chunk(2, dim=-1) 2025-09-07T07:23:09.7030407Z 2025-09-07T07:23:09.7030508Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:09.7030823Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:23:09.7031119Z return mod(*inputs) 2025-09-07T07:23:09.7031352Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 105, in forward 2025-09-07T07:23:09.7031605Z std = log_std.exp() 2025-09-07T07:23:09.7031698Z 2025-09-07T07:23:18.5182124Z Compilation time (from dynamo_timed): 10.011041698 2025-09-07T07:23:18.5182606Z pass 2025-09-07T07:23:18.5194538Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:23:18.5195514Z TIMING: _recursive_pre_grad_passes:0.00419 _recursive_joint_graph_passes:0.11756 _recursive_post_grad_passes:0.01625 async_compile.wait:0.67333 code_gen:8.44761 inductor_compile:8.55673 backend_compile:9.42245 gc:0.00135 entire_frame_compile:10.01104 total_wall_time:10.01104 2025-09-07T07:23:18.5196623Z STATS: call_* op count: 58 | FakeTensor.__torch_dispatch__:245 | FakeTensorMode.__torch_dispatch__:1189 | ProxyTorchDispatchMode.__torch_dispatch__:290 2025-09-07T07:23:18.5197150Z Dynamo produced 2 graphs covering 58 ops with 0 graph breaks (0 unique) 2025-09-07T07:23:20.0693335Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T07:23:20.0694227Z import pynvml # type: ignore[import] 2025-09-07T07:23:22.0211211Z 2025-09-07T07:23:23.3525476Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:23:23.3525879Z loading model: 0it [00:01, ?it/s] 2025-09-07T07:23:23.3532520Z cpu eval fastNLP_Bert 2025-09-07T07:23:24.4439364Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:23:24.9854945Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:23:25.5118386Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:23:26.5105617Z W0907 07:23:26.508378 17617 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] Graph break from `Tensor.item()`, consider setting: 2025-09-07T07:23:26.5107576Z W0907 07:23:26.508378 17617 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] torch._dynamo.config.capture_scalar_outputs = True 2025-09-07T07:23:26.5108121Z W0907 07:23:26.508378 17617 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] or: 2025-09-07T07:23:26.5111039Z W0907 07:23:26.508378 17617 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1 2025-09-07T07:23:26.5111672Z W0907 07:23:26.508378 17617 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] to include these operations in the captured graph. 2025-09-07T07:23:26.5112140Z W0907 07:23:26.508378 17617 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] 2025-09-07T07:23:26.5112576Z W0907 07:23:26.508378 17617 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] Graph break: from user code at: 2025-09-07T07:23:26.5113232Z W0907 07:23:26.508378 17617 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:23:26.5113827Z W0907 07:23:26.508378 17617 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] return mod(*inputs) 2025-09-07T07:23:26.5114983Z W0907 07:23:26.508378 17617 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/models/bert.py", line 265, in forward 2025-09-07T07:23:26.5115621Z W0907 07:23:26.508378 17617 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] sequence_output = self.bert(words) 2025-09-07T07:23:26.5116276Z W0907 07:23:26.508378 17617 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/embeddings/bert_embedding.py", line 137, in forward 2025-09-07T07:23:26.5116915Z W0907 07:23:26.508378 17617 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] outputs = self.model(words) 2025-09-07T07:23:26.5117541Z W0907 07:23:26.508378 17617 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/embeddings/bert_embedding.py", line 445, in forward 2025-09-07T07:23:26.5123486Z W0907 07:23:26.508378 17617 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] max_word_piece_length = batch_word_pieces_length.sum(dim=-1).max().item() # 表示word piece的长度(包括padding) 2025-09-07T07:23:26.5124153Z W0907 07:23:26.508378 17617 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] 2025-09-07T07:23:26.5124534Z W0907 07:23:26.508378 17617 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] 2025-09-07T07:23:35.7418359Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:35.7423272Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/embeddings/bert_embedding.py", line 445, in forward 2025-09-07T07:23:35.7424228Z max_word_piece_length = batch_word_pieces_length.sum(dim=-1).max().item() # 表示word piece的长度(包括padding) 2025-09-07T07:23:35.7424507Z 2025-09-07T07:23:35.7424623Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:35.7428553Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/embeddings/bert_embedding.py", line 441, in forward 2025-09-07T07:23:35.7429106Z seq_len = word_mask.sum(dim=-1) 2025-09-07T07:23:35.7429523Z 2025-09-07T07:23:42.4527891Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4528397Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 512, in forward 2025-09-07T07:23:42.4528848Z embedding_output = self.embeddings(input_ids, token_type_ids) 2025-09-07T07:23:42.4529247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 242, in forward 2025-09-07T07:23:42.4529668Z embeddings = words_embeddings + position_embeddings + token_type_embeddings 2025-09-07T07:23:42.4530287Z 2025-09-07T07:23:42.4530395Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4530771Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-09-07T07:23:42.4531135Z encoded_layers = self.encoder(embedding_output, 2025-09-07T07:23:42.4531496Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-09-07T07:23:42.4531881Z hidden_states = layer_module(hidden_states, attention_mask) 2025-09-07T07:23:42.4532286Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-09-07T07:23:42.4532686Z attention_output = self.attention(hidden_states, attention_mask) 2025-09-07T07:23:42.4533075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-09-07T07:23:42.4533509Z self_output = self.self(input_tensor, attention_mask) 2025-09-07T07:23:42.4533876Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward 2025-09-07T07:23:42.4534224Z mixed_query_layer = self.query(hidden_states) 2025-09-07T07:23:42.4534377Z 2025-09-07T07:23:42.4534477Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4534919Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-09-07T07:23:42.4535283Z encoded_layers = self.encoder(embedding_output, 2025-09-07T07:23:42.4535636Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-09-07T07:23:42.4536015Z hidden_states = layer_module(hidden_states, attention_mask) 2025-09-07T07:23:42.4536399Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-09-07T07:23:42.4536802Z attention_output = self.attention(hidden_states, attention_mask) 2025-09-07T07:23:42.4537193Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-09-07T07:23:42.4537568Z self_output = self.self(input_tensor, attention_mask) 2025-09-07T07:23:42.4537918Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward 2025-09-07T07:23:42.4538265Z mixed_key_layer = self.key(hidden_states) 2025-09-07T07:23:42.4538398Z 2025-09-07T07:23:42.4538502Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4538859Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-09-07T07:23:42.4539206Z encoded_layers = self.encoder(embedding_output, 2025-09-07T07:23:42.4539551Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-09-07T07:23:42.4539923Z hidden_states = layer_module(hidden_states, attention_mask) 2025-09-07T07:23:42.4540290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-09-07T07:23:42.4540672Z attention_output = self.attention(hidden_states, attention_mask) 2025-09-07T07:23:42.4541044Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-09-07T07:23:42.4541408Z self_output = self.self(input_tensor, attention_mask) 2025-09-07T07:23:42.4541763Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward 2025-09-07T07:23:42.4542116Z mixed_value_layer = self.value(hidden_states) 2025-09-07T07:23:42.4542254Z 2025-09-07T07:23:42.4542345Z cudagraph partition due to non gpu ops 2025-09-07T07:23:42.4542549Z cudagraph partition due to non gpu ops 2025-09-07T07:23:42.4542775Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4543187Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-09-07T07:23:42.4543583Z encoded_layers = self.encoder(embedding_output, 2025-09-07T07:23:42.4543927Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-09-07T07:23:42.4544302Z hidden_states = layer_module(hidden_states, attention_mask) 2025-09-07T07:23:42.4544677Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-09-07T07:23:42.4545069Z attention_output = self.attention(hidden_states, attention_mask) 2025-09-07T07:23:42.4545451Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward 2025-09-07T07:23:42.4545824Z attention_output = self.output(self_output, input_tensor) 2025-09-07T07:23:42.4546203Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward 2025-09-07T07:23:42.4546561Z hidden_states = self.dense(hidden_states) 2025-09-07T07:23:42.4546699Z 2025-09-07T07:23:42.4546809Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4547189Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-09-07T07:23:42.4547556Z encoded_layers = self.encoder(embedding_output, 2025-09-07T07:23:42.4547965Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-09-07T07:23:42.4548336Z hidden_states = layer_module(hidden_states, attention_mask) 2025-09-07T07:23:42.4548700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-09-07T07:23:42.4549086Z intermediate_output = self.intermediate(attention_output) 2025-09-07T07:23:42.4549470Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward 2025-09-07T07:23:42.4549835Z hidden_states = self.dense(hidden_states) 2025-09-07T07:23:42.4549978Z 2025-09-07T07:23:42.4550081Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4550459Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-09-07T07:23:42.4550829Z encoded_layers = self.encoder(embedding_output, 2025-09-07T07:23:42.4551200Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-09-07T07:23:42.4551586Z hidden_states = layer_module(hidden_states, attention_mask) 2025-09-07T07:23:42.4551971Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-09-07T07:23:42.4552363Z intermediate_output = self.intermediate(attention_output) 2025-09-07T07:23:42.4552741Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward 2025-09-07T07:23:42.4553131Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-09-07T07:23:42.4553509Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu 2025-09-07T07:23:42.4553882Z return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0))) 2025-09-07T07:23:42.4554031Z 2025-09-07T07:23:42.4554140Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4554515Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-09-07T07:23:42.4554888Z encoded_layers = self.encoder(embedding_output, 2025-09-07T07:23:42.4555251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-09-07T07:23:42.4555641Z hidden_states = layer_module(hidden_states, attention_mask) 2025-09-07T07:23:42.4556025Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward 2025-09-07T07:23:42.4556477Z layer_output = self.output(intermediate_output, attention_output) 2025-09-07T07:23:42.4556891Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward 2025-09-07T07:23:42.4557260Z hidden_states = self.dense(hidden_states) 2025-09-07T07:23:42.4557400Z 2025-09-07T07:23:42.4557536Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4557915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-09-07T07:23:42.4558291Z encoded_layers = self.encoder(embedding_output, 2025-09-07T07:23:42.4558665Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-09-07T07:23:42.4559063Z hidden_states = layer_module(hidden_states, attention_mask) 2025-09-07T07:23:42.4559443Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-09-07T07:23:42.4559837Z attention_output = self.attention(hidden_states, attention_mask) 2025-09-07T07:23:42.4560233Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-09-07T07:23:42.4560609Z self_output = self.self(input_tensor, attention_mask) 2025-09-07T07:23:42.4561014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward 2025-09-07T07:23:42.4561372Z mixed_query_layer = self.query(hidden_states) 2025-09-07T07:23:42.4561512Z 2025-09-07T07:23:42.4561612Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4561977Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-09-07T07:23:42.4562337Z encoded_layers = self.encoder(embedding_output, 2025-09-07T07:23:42.4562689Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-09-07T07:23:42.4563071Z hidden_states = layer_module(hidden_states, attention_mask) 2025-09-07T07:23:42.4563457Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-09-07T07:23:42.4563883Z attention_output = self.attention(hidden_states, attention_mask) 2025-09-07T07:23:42.4564522Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-09-07T07:23:42.4564922Z self_output = self.self(input_tensor, attention_mask) 2025-09-07T07:23:42.4565471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward 2025-09-07T07:23:42.4565865Z mixed_key_layer = self.key(hidden_states) 2025-09-07T07:23:42.4566021Z 2025-09-07T07:23:42.4566132Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4566549Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-09-07T07:23:42.4566941Z encoded_layers = self.encoder(embedding_output, 2025-09-07T07:23:42.4567294Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-09-07T07:23:42.4567677Z hidden_states = layer_module(hidden_states, attention_mask) 2025-09-07T07:23:42.4568050Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-09-07T07:23:42.4568436Z attention_output = self.attention(hidden_states, attention_mask) 2025-09-07T07:23:42.4568818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-09-07T07:23:42.4569174Z self_output = self.self(input_tensor, attention_mask) 2025-09-07T07:23:42.4569527Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward 2025-09-07T07:23:42.4569918Z mixed_value_layer = self.value(hidden_states) 2025-09-07T07:23:42.4570055Z 2025-09-07T07:23:42.4570142Z cudagraph partition due to non gpu ops 2025-09-07T07:23:42.4570344Z cudagraph partition due to non gpu ops 2025-09-07T07:23:42.4570574Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4570948Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-09-07T07:23:42.4571316Z encoded_layers = self.encoder(embedding_output, 2025-09-07T07:23:42.4571682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-09-07T07:23:42.4572063Z hidden_states = layer_module(hidden_states, attention_mask) 2025-09-07T07:23:42.4572451Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-09-07T07:23:42.4572864Z attention_output = self.attention(hidden_states, attention_mask) 2025-09-07T07:23:42.4573259Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward 2025-09-07T07:23:42.4573642Z attention_output = self.output(self_output, input_tensor) 2025-09-07T07:23:42.4574001Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward 2025-09-07T07:23:42.4574346Z hidden_states = self.dense(hidden_states) 2025-09-07T07:23:42.4574484Z 2025-09-07T07:23:42.4574641Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4575011Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-09-07T07:23:42.4575375Z encoded_layers = self.encoder(embedding_output, 2025-09-07T07:23:42.4575729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-09-07T07:23:42.4576115Z hidden_states = layer_module(hidden_states, attention_mask) 2025-09-07T07:23:42.4576495Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-09-07T07:23:42.4576891Z intermediate_output = self.intermediate(attention_output) 2025-09-07T07:23:42.4577274Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward 2025-09-07T07:23:42.4577638Z hidden_states = self.dense(hidden_states) 2025-09-07T07:23:42.4577785Z 2025-09-07T07:23:42.4577893Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4578268Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-09-07T07:23:42.4578638Z encoded_layers = self.encoder(embedding_output, 2025-09-07T07:23:42.4578996Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-09-07T07:23:42.4579386Z hidden_states = layer_module(hidden_states, attention_mask) 2025-09-07T07:23:42.4579768Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-09-07T07:23:42.4580160Z intermediate_output = self.intermediate(attention_output) 2025-09-07T07:23:42.4580545Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward 2025-09-07T07:23:42.4580922Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-09-07T07:23:42.4581302Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu 2025-09-07T07:23:42.4581673Z return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0))) 2025-09-07T07:23:42.4581822Z 2025-09-07T07:23:42.4581934Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4582308Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-09-07T07:23:42.4582672Z encoded_layers = self.encoder(embedding_output, 2025-09-07T07:23:42.4583062Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-09-07T07:23:42.4583449Z hidden_states = layer_module(hidden_states, attention_mask) 2025-09-07T07:23:42.4583827Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward 2025-09-07T07:23:42.4584218Z layer_output = self.output(intermediate_output, attention_output) 2025-09-07T07:23:42.4584613Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward 2025-09-07T07:23:42.4584967Z hidden_states = self.dense(hidden_states) 2025-09-07T07:23:42.4585100Z 2025-09-07T07:23:42.4585208Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4585580Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-09-07T07:23:42.4585942Z encoded_layers = self.encoder(embedding_output, 2025-09-07T07:23:42.4586304Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-09-07T07:23:42.4586686Z hidden_states = layer_module(hidden_states, attention_mask) 2025-09-07T07:23:42.4587064Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-09-07T07:23:42.4587466Z attention_output = self.attention(hidden_states, attention_mask) 2025-09-07T07:23:42.4587887Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-09-07T07:23:42.4588260Z self_output = self.self(input_tensor, attention_mask) 2025-09-07T07:23:42.4588628Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward 2025-09-07T07:23:42.4588986Z mixed_query_layer = self.query(hidden_states) 2025-09-07T07:23:42.4589126Z 2025-09-07T07:23:42.4589242Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4589597Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-09-07T07:23:42.4589950Z encoded_layers = self.encoder(embedding_output, 2025-09-07T07:23:42.4590299Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-09-07T07:23:42.4590667Z hidden_states = layer_module(hidden_states, attention_mask) 2025-09-07T07:23:42.4591024Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-09-07T07:23:42.4591405Z attention_output = self.attention(hidden_states, attention_mask) 2025-09-07T07:23:42.4591783Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-09-07T07:23:42.4592144Z self_output = self.self(input_tensor, attention_mask) 2025-09-07T07:23:42.4592498Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward 2025-09-07T07:23:42.4592835Z mixed_key_layer = self.key(hidden_states) 2025-09-07T07:23:42.4592973Z 2025-09-07T07:23:42.4593070Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4593428Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-09-07T07:23:42.4593779Z encoded_layers = self.encoder(embedding_output, 2025-09-07T07:23:42.4594127Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-09-07T07:23:42.4594490Z hidden_states = layer_module(hidden_states, attention_mask) 2025-09-07T07:23:42.4594851Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-09-07T07:23:42.4595233Z attention_output = self.attention(hidden_states, attention_mask) 2025-09-07T07:23:42.4595611Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-09-07T07:23:42.4596012Z self_output = self.self(input_tensor, attention_mask) 2025-09-07T07:23:42.4596361Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward 2025-09-07T07:23:42.4596711Z mixed_value_layer = self.value(hidden_states) 2025-09-07T07:23:42.4596855Z 2025-09-07T07:23:42.4596934Z cudagraph partition due to non gpu ops 2025-09-07T07:23:42.4597142Z cudagraph partition due to non gpu ops 2025-09-07T07:23:42.4597359Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4597720Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-09-07T07:23:42.4598071Z encoded_layers = self.encoder(embedding_output, 2025-09-07T07:23:42.4598415Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-09-07T07:23:42.4598790Z hidden_states = layer_module(hidden_states, attention_mask) 2025-09-07T07:23:42.4599147Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-09-07T07:23:42.4599539Z attention_output = self.attention(hidden_states, attention_mask) 2025-09-07T07:23:42.4599929Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward 2025-09-07T07:23:42.4600345Z attention_output = self.output(self_output, input_tensor) 2025-09-07T07:23:42.4600736Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward 2025-09-07T07:23:42.4601091Z hidden_states = self.dense(hidden_states) 2025-09-07T07:23:42.4601233Z 2025-09-07T07:23:42.4601337Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4601712Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-09-07T07:23:42.4602087Z encoded_layers = self.encoder(embedding_output, 2025-09-07T07:23:42.4602456Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-09-07T07:23:42.4602865Z hidden_states = layer_module(hidden_states, attention_mask) 2025-09-07T07:23:42.4603272Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-09-07T07:23:42.4603702Z intermediate_output = self.intermediate(attention_output) 2025-09-07T07:23:42.4604114Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward 2025-09-07T07:23:42.4604488Z hidden_states = self.dense(hidden_states) 2025-09-07T07:23:42.4604640Z 2025-09-07T07:23:42.4604748Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4605146Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-09-07T07:23:42.4605639Z encoded_layers = self.encoder(embedding_output, 2025-09-07T07:23:42.4606037Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-09-07T07:23:42.4606448Z hidden_states = layer_module(hidden_states, attention_mask) 2025-09-07T07:23:42.4606868Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-09-07T07:23:42.4607304Z intermediate_output = self.intermediate(attention_output) 2025-09-07T07:23:42.4607730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward 2025-09-07T07:23:42.4608158Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-09-07T07:23:42.4608564Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu 2025-09-07T07:23:42.4609147Z return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0))) 2025-09-07T07:23:42.4609366Z 2025-09-07T07:23:42.4609477Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4609883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-09-07T07:23:42.4610272Z encoded_layers = self.encoder(embedding_output, 2025-09-07T07:23:42.4610661Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-09-07T07:23:42.4611082Z hidden_states = layer_module(hidden_states, attention_mask) 2025-09-07T07:23:42.4611491Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward 2025-09-07T07:23:42.4611924Z layer_output = self.output(intermediate_output, attention_output) 2025-09-07T07:23:42.4612346Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward 2025-09-07T07:23:42.4612718Z hidden_states = self.dense(hidden_states) 2025-09-07T07:23:42.4612853Z 2025-09-07T07:23:42.4612949Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4613301Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-09-07T07:23:42.4613653Z encoded_layers = self.encoder(embedding_output, 2025-09-07T07:23:42.4613993Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-09-07T07:23:42.4614614Z hidden_states = layer_module(hidden_states, attention_mask) 2025-09-07T07:23:42.4614990Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-09-07T07:23:42.4615371Z attention_output = self.attention(hidden_states, attention_mask) 2025-09-07T07:23:42.4615743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-09-07T07:23:42.4616127Z self_output = self.self(input_tensor, attention_mask) 2025-09-07T07:23:42.4616488Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward 2025-09-07T07:23:42.4616842Z mixed_query_layer = self.query(hidden_states) 2025-09-07T07:23:42.4616979Z 2025-09-07T07:23:42.4617084Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4617440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-09-07T07:23:42.4617800Z encoded_layers = self.encoder(embedding_output, 2025-09-07T07:23:42.4618151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-09-07T07:23:42.4618525Z hidden_states = layer_module(hidden_states, attention_mask) 2025-09-07T07:23:42.4618892Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-09-07T07:23:42.4619270Z attention_output = self.attention(hidden_states, attention_mask) 2025-09-07T07:23:42.4619652Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-09-07T07:23:42.4620015Z self_output = self.self(input_tensor, attention_mask) 2025-09-07T07:23:42.4620369Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward 2025-09-07T07:23:42.4620716Z mixed_key_layer = self.key(hidden_states) 2025-09-07T07:23:42.4620849Z 2025-09-07T07:23:42.4620948Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4621313Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-09-07T07:23:42.4621668Z encoded_layers = self.encoder(embedding_output, 2025-09-07T07:23:42.4622019Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-09-07T07:23:42.4622392Z hidden_states = layer_module(hidden_states, attention_mask) 2025-09-07T07:23:42.4622827Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-09-07T07:23:42.4623208Z attention_output = self.attention(hidden_states, attention_mask) 2025-09-07T07:23:42.4623586Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-09-07T07:23:42.4623948Z self_output = self.self(input_tensor, attention_mask) 2025-09-07T07:23:42.4624298Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward 2025-09-07T07:23:42.4624649Z mixed_value_layer = self.value(hidden_states) 2025-09-07T07:23:42.4624807Z 2025-09-07T07:23:42.4624888Z cudagraph partition due to non gpu ops 2025-09-07T07:23:42.4625100Z cudagraph partition due to non gpu ops 2025-09-07T07:23:42.4625329Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4625691Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-09-07T07:23:42.4626055Z encoded_layers = self.encoder(embedding_output, 2025-09-07T07:23:42.4626409Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-09-07T07:23:42.4626789Z hidden_states = layer_module(hidden_states, attention_mask) 2025-09-07T07:23:42.4627195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-09-07T07:23:42.4627571Z attention_output = self.attention(hidden_states, attention_mask) 2025-09-07T07:23:42.4627951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward 2025-09-07T07:23:42.4628324Z attention_output = self.output(self_output, input_tensor) 2025-09-07T07:23:42.4628692Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward 2025-09-07T07:23:42.4629035Z hidden_states = self.dense(hidden_states) 2025-09-07T07:23:42.4629171Z 2025-09-07T07:23:42.4629267Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4629629Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-09-07T07:23:42.4629983Z encoded_layers = self.encoder(embedding_output, 2025-09-07T07:23:42.4630333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-09-07T07:23:42.4630699Z hidden_states = layer_module(hidden_states, attention_mask) 2025-09-07T07:23:42.4631062Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-09-07T07:23:42.4631436Z intermediate_output = self.intermediate(attention_output) 2025-09-07T07:23:42.4631805Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward 2025-09-07T07:23:42.4632153Z hidden_states = self.dense(hidden_states) 2025-09-07T07:23:42.4632279Z 2025-09-07T07:23:42.4632375Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4632731Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-09-07T07:23:42.4633084Z encoded_layers = self.encoder(embedding_output, 2025-09-07T07:23:42.4633430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-09-07T07:23:42.4633802Z hidden_states = layer_module(hidden_states, attention_mask) 2025-09-07T07:23:42.4634159Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-09-07T07:23:42.4634534Z intermediate_output = self.intermediate(attention_output) 2025-09-07T07:23:42.4634904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward 2025-09-07T07:23:42.4635314Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-09-07T07:23:42.4635664Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu 2025-09-07T07:23:42.4636020Z return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0))) 2025-09-07T07:23:42.4636170Z 2025-09-07T07:23:42.4636269Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4636629Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-09-07T07:23:42.4636986Z encoded_layers = self.encoder(embedding_output, 2025-09-07T07:23:42.4637334Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-09-07T07:23:42.4637708Z hidden_states = layer_module(hidden_states, attention_mask) 2025-09-07T07:23:42.4638088Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward 2025-09-07T07:23:42.4638490Z layer_output = self.output(intermediate_output, attention_output) 2025-09-07T07:23:42.4638880Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward 2025-09-07T07:23:42.4639226Z hidden_states = self.dense(hidden_states) 2025-09-07T07:23:42.4639365Z 2025-09-07T07:23:42.4639465Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4639879Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-09-07T07:23:42.4640254Z encoded_layers = self.encoder(embedding_output, 2025-09-07T07:23:42.4640618Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-09-07T07:23:42.4641005Z hidden_states = layer_module(hidden_states, attention_mask) 2025-09-07T07:23:42.4641388Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-09-07T07:23:42.4641798Z attention_output = self.attention(hidden_states, attention_mask) 2025-09-07T07:23:42.4642200Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-09-07T07:23:42.4642586Z self_output = self.self(input_tensor, attention_mask) 2025-09-07T07:23:42.4642953Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward 2025-09-07T07:23:42.4643326Z mixed_query_layer = self.query(hidden_states) 2025-09-07T07:23:42.4643476Z 2025-09-07T07:23:42.4643580Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4643956Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-09-07T07:23:42.4644323Z encoded_layers = self.encoder(embedding_output, 2025-09-07T07:23:42.4644689Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-09-07T07:23:42.4645090Z hidden_states = layer_module(hidden_states, attention_mask) 2025-09-07T07:23:42.4645577Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-09-07T07:23:42.4646018Z attention_output = self.attention(hidden_states, attention_mask) 2025-09-07T07:23:42.4646450Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-09-07T07:23:42.4646868Z self_output = self.self(input_tensor, attention_mask) 2025-09-07T07:23:42.4647274Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward 2025-09-07T07:23:42.4647657Z mixed_key_layer = self.key(hidden_states) 2025-09-07T07:23:42.4647802Z 2025-09-07T07:23:42.4647919Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4648310Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-09-07T07:23:42.4648750Z encoded_layers = self.encoder(embedding_output, 2025-09-07T07:23:42.4649149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-09-07T07:23:42.4649570Z hidden_states = layer_module(hidden_states, attention_mask) 2025-09-07T07:23:42.4650008Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-09-07T07:23:42.4650438Z attention_output = self.attention(hidden_states, attention_mask) 2025-09-07T07:23:42.4650872Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-09-07T07:23:42.4651282Z self_output = self.self(input_tensor, attention_mask) 2025-09-07T07:23:42.4651678Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward 2025-09-07T07:23:42.4652075Z mixed_value_layer = self.value(hidden_states) 2025-09-07T07:23:42.4652236Z 2025-09-07T07:23:42.4652326Z cudagraph partition due to non gpu ops 2025-09-07T07:23:42.4652556Z cudagraph partition due to non gpu ops 2025-09-07T07:23:42.4652809Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4653224Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-09-07T07:23:42.4653688Z encoded_layers = self.encoder(embedding_output, 2025-09-07T07:23:42.4654043Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-09-07T07:23:42.4654419Z hidden_states = layer_module(hidden_states, attention_mask) 2025-09-07T07:23:42.4654829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-09-07T07:23:42.4655231Z attention_output = self.attention(hidden_states, attention_mask) 2025-09-07T07:23:42.4655613Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward 2025-09-07T07:23:42.4655988Z attention_output = self.output(self_output, input_tensor) 2025-09-07T07:23:42.4656356Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward 2025-09-07T07:23:42.4656703Z hidden_states = self.dense(hidden_states) 2025-09-07T07:23:42.4656833Z 2025-09-07T07:23:42.4656933Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4657294Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-09-07T07:23:42.4657646Z encoded_layers = self.encoder(embedding_output, 2025-09-07T07:23:42.4657998Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-09-07T07:23:42.4658372Z hidden_states = layer_module(hidden_states, attention_mask) 2025-09-07T07:23:42.4658744Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-09-07T07:23:42.4659156Z intermediate_output = self.intermediate(attention_output) 2025-09-07T07:23:42.4659535Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward 2025-09-07T07:23:42.4659889Z hidden_states = self.dense(hidden_states) 2025-09-07T07:23:42.4660023Z 2025-09-07T07:23:42.4660130Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4660499Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-09-07T07:23:42.4660852Z encoded_layers = self.encoder(embedding_output, 2025-09-07T07:23:42.4661198Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-09-07T07:23:42.4661573Z hidden_states = layer_module(hidden_states, attention_mask) 2025-09-07T07:23:42.4661973Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-09-07T07:23:42.4662337Z intermediate_output = self.intermediate(attention_output) 2025-09-07T07:23:42.4662703Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward 2025-09-07T07:23:42.4663069Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-09-07T07:23:42.4663426Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu 2025-09-07T07:23:42.4663770Z return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0))) 2025-09-07T07:23:42.4663919Z 2025-09-07T07:23:42.4664015Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4664370Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-09-07T07:23:42.4664721Z encoded_layers = self.encoder(embedding_output, 2025-09-07T07:23:42.4665067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-09-07T07:23:42.4665427Z hidden_states = layer_module(hidden_states, attention_mask) 2025-09-07T07:23:42.4665792Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward 2025-09-07T07:23:42.4666170Z layer_output = self.output(intermediate_output, attention_output) 2025-09-07T07:23:42.4666578Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward 2025-09-07T07:23:42.4666925Z hidden_states = self.dense(hidden_states) 2025-09-07T07:23:42.4667056Z 2025-09-07T07:23:42.4667154Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4667512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-09-07T07:23:42.4667864Z encoded_layers = self.encoder(embedding_output, 2025-09-07T07:23:42.4668217Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-09-07T07:23:42.4668587Z hidden_states = layer_module(hidden_states, attention_mask) 2025-09-07T07:23:42.4668944Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-09-07T07:23:42.4669330Z attention_output = self.attention(hidden_states, attention_mask) 2025-09-07T07:23:42.4669716Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-09-07T07:23:42.4670077Z self_output = self.self(input_tensor, attention_mask) 2025-09-07T07:23:42.4670427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward 2025-09-07T07:23:42.4670778Z mixed_query_layer = self.query(hidden_states) 2025-09-07T07:23:42.4670922Z 2025-09-07T07:23:42.4671020Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4671384Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-09-07T07:23:42.4671740Z encoded_layers = self.encoder(embedding_output, 2025-09-07T07:23:42.4672082Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-09-07T07:23:42.4672453Z hidden_states = layer_module(hidden_states, attention_mask) 2025-09-07T07:23:42.4672826Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-09-07T07:23:42.4673217Z attention_output = self.attention(hidden_states, attention_mask) 2025-09-07T07:23:42.4673602Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-09-07T07:23:42.4673960Z self_output = self.self(input_tensor, attention_mask) 2025-09-07T07:23:42.4674315Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward 2025-09-07T07:23:42.4674718Z mixed_key_layer = self.key(hidden_states) 2025-09-07T07:23:42.4674851Z 2025-09-07T07:23:42.4674958Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4675321Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-09-07T07:23:42.4675675Z encoded_layers = self.encoder(embedding_output, 2025-09-07T07:23:42.4676032Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-09-07T07:23:42.4676423Z hidden_states = layer_module(hidden_states, attention_mask) 2025-09-07T07:23:42.4676788Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-09-07T07:23:42.4677180Z attention_output = self.attention(hidden_states, attention_mask) 2025-09-07T07:23:42.4677561Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-09-07T07:23:42.4677933Z self_output = self.self(input_tensor, attention_mask) 2025-09-07T07:23:42.4678295Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward 2025-09-07T07:23:42.4678653Z mixed_value_layer = self.value(hidden_states) 2025-09-07T07:23:42.4678794Z 2025-09-07T07:23:42.4678875Z cudagraph partition due to non gpu ops 2025-09-07T07:23:42.4679122Z cudagraph partition due to non gpu ops 2025-09-07T07:23:42.4679359Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4679730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-09-07T07:23:42.4680097Z encoded_layers = self.encoder(embedding_output, 2025-09-07T07:23:42.4680457Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-09-07T07:23:42.4680850Z hidden_states = layer_module(hidden_states, attention_mask) 2025-09-07T07:23:42.4681233Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-09-07T07:23:42.4681637Z attention_output = self.attention(hidden_states, attention_mask) 2025-09-07T07:23:42.4682039Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward 2025-09-07T07:23:42.4682482Z attention_output = self.output(self_output, input_tensor) 2025-09-07T07:23:42.4682871Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward 2025-09-07T07:23:42.4683238Z hidden_states = self.dense(hidden_states) 2025-09-07T07:23:42.4683375Z 2025-09-07T07:23:42.4683486Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4683869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-09-07T07:23:42.4684269Z encoded_layers = self.encoder(embedding_output, 2025-09-07T07:23:42.4684658Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-09-07T07:23:42.4685085Z hidden_states = layer_module(hidden_states, attention_mask) 2025-09-07T07:23:42.4685577Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-09-07T07:23:42.4686005Z intermediate_output = self.intermediate(attention_output) 2025-09-07T07:23:42.4686417Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward 2025-09-07T07:23:42.4686782Z hidden_states = self.dense(hidden_states) 2025-09-07T07:23:42.4686928Z 2025-09-07T07:23:42.4687036Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4687405Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-09-07T07:23:42.4687806Z encoded_layers = self.encoder(embedding_output, 2025-09-07T07:23:42.4688168Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-09-07T07:23:42.4688554Z hidden_states = layer_module(hidden_states, attention_mask) 2025-09-07T07:23:42.4688933Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-09-07T07:23:42.4689320Z intermediate_output = self.intermediate(attention_output) 2025-09-07T07:23:42.4689705Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward 2025-09-07T07:23:42.4690088Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-09-07T07:23:42.4690460Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu 2025-09-07T07:23:42.4690834Z return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0))) 2025-09-07T07:23:42.4690982Z 2025-09-07T07:23:42.4691081Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4691452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-09-07T07:23:42.4691816Z encoded_layers = self.encoder(embedding_output, 2025-09-07T07:23:42.4692178Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-09-07T07:23:42.4692593Z hidden_states = layer_module(hidden_states, attention_mask) 2025-09-07T07:23:42.4692961Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward 2025-09-07T07:23:42.4693360Z layer_output = self.output(intermediate_output, attention_output) 2025-09-07T07:23:42.4693760Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward 2025-09-07T07:23:42.4694110Z hidden_states = self.dense(hidden_states) 2025-09-07T07:23:42.4694244Z 2025-09-07T07:23:42.4694350Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4694705Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-09-07T07:23:42.4695065Z encoded_layers = self.encoder(embedding_output, 2025-09-07T07:23:42.4695416Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-09-07T07:23:42.4695791Z hidden_states = layer_module(hidden_states, attention_mask) 2025-09-07T07:23:42.4696159Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-09-07T07:23:42.4696540Z attention_output = self.attention(hidden_states, attention_mask) 2025-09-07T07:23:42.4696926Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-09-07T07:23:42.4697289Z self_output = self.self(input_tensor, attention_mask) 2025-09-07T07:23:42.4697647Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward 2025-09-07T07:23:42.4697990Z mixed_query_layer = self.query(hidden_states) 2025-09-07T07:23:42.4698139Z 2025-09-07T07:23:42.4698239Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4698597Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-09-07T07:23:42.4698954Z encoded_layers = self.encoder(embedding_output, 2025-09-07T07:23:42.4699302Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-09-07T07:23:42.4699671Z hidden_states = layer_module(hidden_states, attention_mask) 2025-09-07T07:23:42.4700036Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-09-07T07:23:42.4700423Z attention_output = self.attention(hidden_states, attention_mask) 2025-09-07T07:23:42.4700839Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-09-07T07:23:42.4701199Z self_output = self.self(input_tensor, attention_mask) 2025-09-07T07:23:42.4701548Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward 2025-09-07T07:23:42.4701890Z mixed_key_layer = self.key(hidden_states) 2025-09-07T07:23:42.4702026Z 2025-09-07T07:23:42.4702126Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4702487Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-09-07T07:23:42.4702842Z encoded_layers = self.encoder(embedding_output, 2025-09-07T07:23:42.4703187Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-09-07T07:23:42.4703557Z hidden_states = layer_module(hidden_states, attention_mask) 2025-09-07T07:23:42.4703928Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-09-07T07:23:42.4704312Z attention_output = self.attention(hidden_states, attention_mask) 2025-09-07T07:23:42.4704688Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-09-07T07:23:42.4705051Z self_output = self.self(input_tensor, attention_mask) 2025-09-07T07:23:42.4705439Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward 2025-09-07T07:23:42.4705789Z mixed_value_layer = self.value(hidden_states) 2025-09-07T07:23:42.4705924Z 2025-09-07T07:23:42.4706009Z cudagraph partition due to non gpu ops 2025-09-07T07:23:42.4706205Z cudagraph partition due to non gpu ops 2025-09-07T07:23:42.4706430Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4706788Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-09-07T07:23:42.4707142Z encoded_layers = self.encoder(embedding_output, 2025-09-07T07:23:42.4707488Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-09-07T07:23:42.4707849Z hidden_states = layer_module(hidden_states, attention_mask) 2025-09-07T07:23:42.4708213Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-09-07T07:23:42.4708600Z attention_output = self.attention(hidden_states, attention_mask) 2025-09-07T07:23:42.4708976Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward 2025-09-07T07:23:42.4709337Z attention_output = self.output(self_output, input_tensor) 2025-09-07T07:23:42.4709711Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward 2025-09-07T07:23:42.4710048Z hidden_states = self.dense(hidden_states) 2025-09-07T07:23:42.4710172Z 2025-09-07T07:23:42.4710275Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4710622Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-09-07T07:23:42.4710959Z encoded_layers = self.encoder(embedding_output, 2025-09-07T07:23:42.4711300Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-09-07T07:23:42.4711658Z hidden_states = layer_module(hidden_states, attention_mask) 2025-09-07T07:23:42.4712012Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-09-07T07:23:42.4712377Z intermediate_output = self.intermediate(attention_output) 2025-09-07T07:23:42.4712732Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward 2025-09-07T07:23:42.4713105Z hidden_states = self.dense(hidden_states) 2025-09-07T07:23:42.4713237Z 2025-09-07T07:23:42.4713332Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4713683Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-09-07T07:23:42.4714026Z encoded_layers = self.encoder(embedding_output, 2025-09-07T07:23:42.4714471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-09-07T07:23:42.4714853Z hidden_states = layer_module(hidden_states, attention_mask) 2025-09-07T07:23:42.4715216Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-09-07T07:23:42.4715586Z intermediate_output = self.intermediate(attention_output) 2025-09-07T07:23:42.4715943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward 2025-09-07T07:23:42.4716308Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-09-07T07:23:42.4716664Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu 2025-09-07T07:23:42.4717014Z return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0))) 2025-09-07T07:23:42.4717153Z 2025-09-07T07:23:42.4717260Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4717686Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-09-07T07:23:42.4718037Z encoded_layers = self.encoder(embedding_output, 2025-09-07T07:23:42.4718377Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-09-07T07:23:42.4718737Z hidden_states = layer_module(hidden_states, attention_mask) 2025-09-07T07:23:42.4719093Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward 2025-09-07T07:23:42.4719463Z layer_output = self.output(intermediate_output, attention_output) 2025-09-07T07:23:42.4719839Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward 2025-09-07T07:23:42.4720177Z hidden_states = self.dense(hidden_states) 2025-09-07T07:23:42.4720307Z 2025-09-07T07:23:42.4720413Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4720778Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-09-07T07:23:42.4721128Z encoded_layers = self.encoder(embedding_output, 2025-09-07T07:23:42.4721476Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-09-07T07:23:42.4721848Z hidden_states = layer_module(hidden_states, attention_mask) 2025-09-07T07:23:42.4722221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-09-07T07:23:42.4722614Z attention_output = self.attention(hidden_states, attention_mask) 2025-09-07T07:23:42.4723006Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-09-07T07:23:42.4723375Z self_output = self.self(input_tensor, attention_mask) 2025-09-07T07:23:42.4723741Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward 2025-09-07T07:23:42.4724110Z mixed_query_layer = self.query(hidden_states) 2025-09-07T07:23:42.4724252Z 2025-09-07T07:23:42.4724355Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4724733Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-09-07T07:23:42.4725110Z encoded_layers = self.encoder(embedding_output, 2025-09-07T07:23:42.4725535Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-09-07T07:23:42.4725986Z hidden_states = layer_module(hidden_states, attention_mask) 2025-09-07T07:23:42.4726373Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-09-07T07:23:42.4726772Z attention_output = self.attention(hidden_states, attention_mask) 2025-09-07T07:23:42.4727162Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-09-07T07:23:42.4727538Z self_output = self.self(input_tensor, attention_mask) 2025-09-07T07:23:42.4727905Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward 2025-09-07T07:23:42.4728313Z mixed_key_layer = self.key(hidden_states) 2025-09-07T07:23:42.4728450Z 2025-09-07T07:23:42.4728550Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4728916Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-09-07T07:23:42.4729283Z encoded_layers = self.encoder(embedding_output, 2025-09-07T07:23:42.4729634Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-09-07T07:23:42.4730014Z hidden_states = layer_module(hidden_states, attention_mask) 2025-09-07T07:23:42.4730389Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-09-07T07:23:42.4730821Z attention_output = self.attention(hidden_states, attention_mask) 2025-09-07T07:23:42.4731212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-09-07T07:23:42.4731575Z self_output = self.self(input_tensor, attention_mask) 2025-09-07T07:23:42.4731938Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward 2025-09-07T07:23:42.4732297Z mixed_value_layer = self.value(hidden_states) 2025-09-07T07:23:42.4732442Z 2025-09-07T07:23:42.4732531Z cudagraph partition due to non gpu ops 2025-09-07T07:23:42.4732738Z cudagraph partition due to non gpu ops 2025-09-07T07:23:42.4732963Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4733332Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-09-07T07:23:42.4733695Z encoded_layers = self.encoder(embedding_output, 2025-09-07T07:23:42.4734053Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-09-07T07:23:42.4734428Z hidden_states = layer_module(hidden_states, attention_mask) 2025-09-07T07:23:42.4734807Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-09-07T07:23:42.4735203Z attention_output = self.attention(hidden_states, attention_mask) 2025-09-07T07:23:42.4735598Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward 2025-09-07T07:23:42.4736032Z attention_output = self.output(self_output, input_tensor) 2025-09-07T07:23:42.4736405Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward 2025-09-07T07:23:42.4736761Z hidden_states = self.dense(hidden_states) 2025-09-07T07:23:42.4736901Z 2025-09-07T07:23:42.4737004Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4737374Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-09-07T07:23:42.4737737Z encoded_layers = self.encoder(embedding_output, 2025-09-07T07:23:42.4738088Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-09-07T07:23:42.4738471Z hidden_states = layer_module(hidden_states, attention_mask) 2025-09-07T07:23:42.4738895Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-09-07T07:23:42.4739271Z intermediate_output = self.intermediate(attention_output) 2025-09-07T07:23:42.4739642Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward 2025-09-07T07:23:42.4739976Z hidden_states = self.dense(hidden_states) 2025-09-07T07:23:42.4740111Z 2025-09-07T07:23:42.4740213Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4740571Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-09-07T07:23:42.4740927Z encoded_layers = self.encoder(embedding_output, 2025-09-07T07:23:42.4741268Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-09-07T07:23:42.4741641Z hidden_states = layer_module(hidden_states, attention_mask) 2025-09-07T07:23:42.4742011Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-09-07T07:23:42.4742386Z intermediate_output = self.intermediate(attention_output) 2025-09-07T07:23:42.4742754Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward 2025-09-07T07:23:42.4743115Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-09-07T07:23:42.4743508Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu 2025-09-07T07:23:42.4743863Z return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0))) 2025-09-07T07:23:42.4744004Z 2025-09-07T07:23:42.4744109Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4744462Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-09-07T07:23:42.4744812Z encoded_layers = self.encoder(embedding_output, 2025-09-07T07:23:42.4745151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-09-07T07:23:42.4745508Z hidden_states = layer_module(hidden_states, attention_mask) 2025-09-07T07:23:42.4745862Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward 2025-09-07T07:23:42.4746242Z layer_output = self.output(intermediate_output, attention_output) 2025-09-07T07:23:42.4746616Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward 2025-09-07T07:23:42.4746958Z hidden_states = self.dense(hidden_states) 2025-09-07T07:23:42.4747094Z 2025-09-07T07:23:42.4747190Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4747545Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-09-07T07:23:42.4747894Z encoded_layers = self.encoder(embedding_output, 2025-09-07T07:23:42.4748233Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-09-07T07:23:42.4748599Z hidden_states = layer_module(hidden_states, attention_mask) 2025-09-07T07:23:42.4748963Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-09-07T07:23:42.4749355Z attention_output = self.attention(hidden_states, attention_mask) 2025-09-07T07:23:42.4749741Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-09-07T07:23:42.4750103Z self_output = self.self(input_tensor, attention_mask) 2025-09-07T07:23:42.4750457Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward 2025-09-07T07:23:42.4750805Z mixed_query_layer = self.query(hidden_states) 2025-09-07T07:23:42.4750939Z 2025-09-07T07:23:42.4751043Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4751428Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-09-07T07:23:42.4751782Z encoded_layers = self.encoder(embedding_output, 2025-09-07T07:23:42.4752129Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-09-07T07:23:42.4752504Z hidden_states = layer_module(hidden_states, attention_mask) 2025-09-07T07:23:42.4752872Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-09-07T07:23:42.4753251Z attention_output = self.attention(hidden_states, attention_mask) 2025-09-07T07:23:42.4753633Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-09-07T07:23:42.4753993Z self_output = self.self(input_tensor, attention_mask) 2025-09-07T07:23:42.4754351Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward 2025-09-07T07:23:42.4754695Z mixed_key_layer = self.key(hidden_states) 2025-09-07T07:23:42.4754823Z 2025-09-07T07:23:42.4754922Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4755285Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-09-07T07:23:42.4755639Z encoded_layers = self.encoder(embedding_output, 2025-09-07T07:23:42.4756015Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-09-07T07:23:42.4756380Z hidden_states = layer_module(hidden_states, attention_mask) 2025-09-07T07:23:42.4756745Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-09-07T07:23:42.4757129Z attention_output = self.attention(hidden_states, attention_mask) 2025-09-07T07:23:42.4757512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-09-07T07:23:42.4757873Z self_output = self.self(input_tensor, attention_mask) 2025-09-07T07:23:42.4758216Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward 2025-09-07T07:23:42.4758566Z mixed_value_layer = self.value(hidden_states) 2025-09-07T07:23:42.4758706Z 2025-09-07T07:23:42.4758786Z cudagraph partition due to non gpu ops 2025-09-07T07:23:42.4758993Z cudagraph partition due to non gpu ops 2025-09-07T07:23:42.4759223Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4759584Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-09-07T07:23:42.4759944Z encoded_layers = self.encoder(embedding_output, 2025-09-07T07:23:42.4760297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-09-07T07:23:42.4760684Z hidden_states = layer_module(hidden_states, attention_mask) 2025-09-07T07:23:42.4761039Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-09-07T07:23:42.4761426Z attention_output = self.attention(hidden_states, attention_mask) 2025-09-07T07:23:42.4761806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward 2025-09-07T07:23:42.4762185Z attention_output = self.output(self_output, input_tensor) 2025-09-07T07:23:42.4762558Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward 2025-09-07T07:23:42.4762901Z hidden_states = self.dense(hidden_states) 2025-09-07T07:23:42.4763037Z 2025-09-07T07:23:42.4763135Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4763503Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-09-07T07:23:42.4763907Z encoded_layers = self.encoder(embedding_output, 2025-09-07T07:23:42.4764265Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-09-07T07:23:42.4764649Z hidden_states = layer_module(hidden_states, attention_mask) 2025-09-07T07:23:42.4765036Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-09-07T07:23:42.4765562Z intermediate_output = self.intermediate(attention_output) 2025-09-07T07:23:42.4765945Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward 2025-09-07T07:23:42.4766295Z hidden_states = self.dense(hidden_states) 2025-09-07T07:23:42.4766428Z 2025-09-07T07:23:42.4766528Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4766902Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-09-07T07:23:42.4767260Z encoded_layers = self.encoder(embedding_output, 2025-09-07T07:23:42.4767608Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-09-07T07:23:42.4767969Z hidden_states = layer_module(hidden_states, attention_mask) 2025-09-07T07:23:42.4768334Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-09-07T07:23:42.4768762Z intermediate_output = self.intermediate(attention_output) 2025-09-07T07:23:42.4769136Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward 2025-09-07T07:23:42.4769502Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-09-07T07:23:42.4769850Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu 2025-09-07T07:23:42.4770205Z return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0))) 2025-09-07T07:23:42.4770356Z 2025-09-07T07:23:42.4770454Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4770812Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-09-07T07:23:42.4771163Z encoded_layers = self.encoder(embedding_output, 2025-09-07T07:23:42.4771499Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-09-07T07:23:42.4771868Z hidden_states = layer_module(hidden_states, attention_mask) 2025-09-07T07:23:42.4772230Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward 2025-09-07T07:23:42.4772613Z layer_output = self.output(intermediate_output, attention_output) 2025-09-07T07:23:42.4772994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward 2025-09-07T07:23:42.4773328Z hidden_states = self.dense(hidden_states) 2025-09-07T07:23:42.4773466Z 2025-09-07T07:23:42.4773563Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4773921Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-09-07T07:23:42.4774272Z encoded_layers = self.encoder(embedding_output, 2025-09-07T07:23:42.4774609Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-09-07T07:23:42.4774979Z hidden_states = layer_module(hidden_states, attention_mask) 2025-09-07T07:23:42.4775342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-09-07T07:23:42.4775725Z attention_output = self.attention(hidden_states, attention_mask) 2025-09-07T07:23:42.4776104Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-09-07T07:23:42.4776454Z self_output = self.self(input_tensor, attention_mask) 2025-09-07T07:23:42.4776850Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward 2025-09-07T07:23:42.4777204Z mixed_query_layer = self.query(hidden_states) 2025-09-07T07:23:42.4777341Z 2025-09-07T07:23:42.4777447Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4777807Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-09-07T07:23:42.4778156Z encoded_layers = self.encoder(embedding_output, 2025-09-07T07:23:42.4778506Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-09-07T07:23:42.4778877Z hidden_states = layer_module(hidden_states, attention_mask) 2025-09-07T07:23:42.4779243Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-09-07T07:23:42.4779630Z attention_output = self.attention(hidden_states, attention_mask) 2025-09-07T07:23:42.4780010Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-09-07T07:23:42.4780366Z self_output = self.self(input_tensor, attention_mask) 2025-09-07T07:23:42.4780714Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward 2025-09-07T07:23:42.4781049Z mixed_key_layer = self.key(hidden_states) 2025-09-07T07:23:42.4781175Z 2025-09-07T07:23:42.4781315Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4781655Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-09-07T07:23:42.4781998Z encoded_layers = self.encoder(embedding_output, 2025-09-07T07:23:42.4782332Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-09-07T07:23:42.4782691Z hidden_states = layer_module(hidden_states, attention_mask) 2025-09-07T07:23:42.4783041Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-09-07T07:23:42.4783414Z attention_output = self.attention(hidden_states, attention_mask) 2025-09-07T07:23:42.4783781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-09-07T07:23:42.4784135Z self_output = self.self(input_tensor, attention_mask) 2025-09-07T07:23:42.4784481Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward 2025-09-07T07:23:42.4784814Z mixed_value_layer = self.value(hidden_states) 2025-09-07T07:23:42.4784955Z 2025-09-07T07:23:42.4785032Z cudagraph partition due to non gpu ops 2025-09-07T07:23:42.4785233Z cudagraph partition due to non gpu ops 2025-09-07T07:23:42.4785452Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4785792Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-09-07T07:23:42.4786139Z encoded_layers = self.encoder(embedding_output, 2025-09-07T07:23:42.4786473Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-09-07T07:23:42.4786833Z hidden_states = layer_module(hidden_states, attention_mask) 2025-09-07T07:23:42.4787188Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-09-07T07:23:42.4787554Z attention_output = self.attention(hidden_states, attention_mask) 2025-09-07T07:23:42.4787926Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward 2025-09-07T07:23:42.4788286Z attention_output = self.output(self_output, input_tensor) 2025-09-07T07:23:42.4788643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward 2025-09-07T07:23:42.4789010Z hidden_states = self.dense(hidden_states) 2025-09-07T07:23:42.4789135Z 2025-09-07T07:23:42.4789230Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4789581Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-09-07T07:23:42.4789925Z encoded_layers = self.encoder(embedding_output, 2025-09-07T07:23:42.4790266Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-09-07T07:23:42.4790626Z hidden_states = layer_module(hidden_states, attention_mask) 2025-09-07T07:23:42.4790976Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-09-07T07:23:42.4791341Z intermediate_output = self.intermediate(attention_output) 2025-09-07T07:23:42.4791702Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward 2025-09-07T07:23:42.4792036Z hidden_states = self.dense(hidden_states) 2025-09-07T07:23:42.4792162Z 2025-09-07T07:23:42.4792265Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4792604Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-09-07T07:23:42.4792943Z encoded_layers = self.encoder(embedding_output, 2025-09-07T07:23:42.4793305Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-09-07T07:23:42.4793667Z hidden_states = layer_module(hidden_states, attention_mask) 2025-09-07T07:23:42.4794012Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-09-07T07:23:42.4794374Z intermediate_output = self.intermediate(attention_output) 2025-09-07T07:23:42.4794733Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward 2025-09-07T07:23:42.4795092Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-09-07T07:23:42.4795438Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu 2025-09-07T07:23:42.4795778Z return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0))) 2025-09-07T07:23:42.4795921Z 2025-09-07T07:23:42.4796017Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4796366Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-09-07T07:23:42.4796737Z encoded_layers = self.encoder(embedding_output, 2025-09-07T07:23:42.4797077Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-09-07T07:23:42.4797428Z hidden_states = layer_module(hidden_states, attention_mask) 2025-09-07T07:23:42.4797783Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward 2025-09-07T07:23:42.4798160Z layer_output = self.output(intermediate_output, attention_output) 2025-09-07T07:23:42.4798530Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward 2025-09-07T07:23:42.4798867Z hidden_states = self.dense(hidden_states) 2025-09-07T07:23:42.4798994Z 2025-09-07T07:23:42.4799089Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4799439Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-09-07T07:23:42.4799785Z encoded_layers = self.encoder(embedding_output, 2025-09-07T07:23:42.4800125Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-09-07T07:23:42.4800477Z hidden_states = layer_module(hidden_states, attention_mask) 2025-09-07T07:23:42.4800837Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-09-07T07:23:42.4801259Z attention_output = self.attention(hidden_states, attention_mask) 2025-09-07T07:23:42.4801642Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-09-07T07:23:42.4802004Z self_output = self.self(input_tensor, attention_mask) 2025-09-07T07:23:42.4802351Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward 2025-09-07T07:23:42.4802713Z mixed_query_layer = self.query(hidden_states) 2025-09-07T07:23:42.4802860Z 2025-09-07T07:23:42.4802959Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4803328Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-09-07T07:23:42.4803697Z encoded_layers = self.encoder(embedding_output, 2025-09-07T07:23:42.4804056Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-09-07T07:23:42.4804455Z hidden_states = layer_module(hidden_states, attention_mask) 2025-09-07T07:23:42.4804829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-09-07T07:23:42.4805299Z attention_output = self.attention(hidden_states, attention_mask) 2025-09-07T07:23:42.4805736Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-09-07T07:23:42.4806185Z self_output = self.self(input_tensor, attention_mask) 2025-09-07T07:23:42.4806559Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward 2025-09-07T07:23:42.4806926Z mixed_key_layer = self.key(hidden_states) 2025-09-07T07:23:42.4807055Z 2025-09-07T07:23:42.4807160Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4807511Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-09-07T07:23:42.4807870Z encoded_layers = self.encoder(embedding_output, 2025-09-07T07:23:42.4808219Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-09-07T07:23:42.4808590Z hidden_states = layer_module(hidden_states, attention_mask) 2025-09-07T07:23:42.4808953Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-09-07T07:23:42.4809336Z attention_output = self.attention(hidden_states, attention_mask) 2025-09-07T07:23:42.4809720Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-09-07T07:23:42.4810080Z self_output = self.self(input_tensor, attention_mask) 2025-09-07T07:23:42.4810433Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward 2025-09-07T07:23:42.4810779Z mixed_value_layer = self.value(hidden_states) 2025-09-07T07:23:42.4810919Z 2025-09-07T07:23:42.4810999Z cudagraph partition due to non gpu ops 2025-09-07T07:23:42.4811205Z cudagraph partition due to non gpu ops 2025-09-07T07:23:42.4811429Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4811792Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-09-07T07:23:42.4812138Z encoded_layers = self.encoder(embedding_output, 2025-09-07T07:23:42.4812493Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-09-07T07:23:42.4812878Z hidden_states = layer_module(hidden_states, attention_mask) 2025-09-07T07:23:42.4813243Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-09-07T07:23:42.4813629Z attention_output = self.attention(hidden_states, attention_mask) 2025-09-07T07:23:42.4814005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward 2025-09-07T07:23:42.4814568Z attention_output = self.output(self_output, input_tensor) 2025-09-07T07:23:42.4814949Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward 2025-09-07T07:23:42.4815304Z hidden_states = self.dense(hidden_states) 2025-09-07T07:23:42.4815436Z 2025-09-07T07:23:42.4815546Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4815909Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-09-07T07:23:42.4816278Z encoded_layers = self.encoder(embedding_output, 2025-09-07T07:23:42.4816645Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-09-07T07:23:42.4817023Z hidden_states = layer_module(hidden_states, attention_mask) 2025-09-07T07:23:42.4817406Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-09-07T07:23:42.4817796Z intermediate_output = self.intermediate(attention_output) 2025-09-07T07:23:42.4818183Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward 2025-09-07T07:23:42.4818538Z hidden_states = self.dense(hidden_states) 2025-09-07T07:23:42.4818672Z 2025-09-07T07:23:42.4818779Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4819224Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-09-07T07:23:42.4819604Z encoded_layers = self.encoder(embedding_output, 2025-09-07T07:23:42.4819950Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-09-07T07:23:42.4820320Z hidden_states = layer_module(hidden_states, attention_mask) 2025-09-07T07:23:42.4820689Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-09-07T07:23:42.4821068Z intermediate_output = self.intermediate(attention_output) 2025-09-07T07:23:42.4821449Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward 2025-09-07T07:23:42.4821825Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-09-07T07:23:42.4822197Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu 2025-09-07T07:23:42.4822557Z return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0))) 2025-09-07T07:23:42.4822703Z 2025-09-07T07:23:42.4822804Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4823176Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-09-07T07:23:42.4823539Z encoded_layers = self.encoder(embedding_output, 2025-09-07T07:23:42.4823897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-09-07T07:23:42.4824273Z hidden_states = layer_module(hidden_states, attention_mask) 2025-09-07T07:23:42.4824637Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward 2025-09-07T07:23:42.4825033Z layer_output = self.output(intermediate_output, attention_output) 2025-09-07T07:23:42.4825423Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward 2025-09-07T07:23:42.4825774Z hidden_states = self.dense(hidden_states) 2025-09-07T07:23:42.4825907Z 2025-09-07T07:23:42.4826013Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4826369Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-09-07T07:23:42.4826725Z encoded_layers = self.encoder(embedding_output, 2025-09-07T07:23:42.4827132Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-09-07T07:23:42.4827518Z hidden_states = layer_module(hidden_states, attention_mask) 2025-09-07T07:23:42.4827890Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-09-07T07:23:42.4828295Z attention_output = self.attention(hidden_states, attention_mask) 2025-09-07T07:23:42.4828688Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-09-07T07:23:42.4829062Z self_output = self.self(input_tensor, attention_mask) 2025-09-07T07:23:42.4829432Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward 2025-09-07T07:23:42.4829787Z mixed_query_layer = self.query(hidden_states) 2025-09-07T07:23:42.4829936Z 2025-09-07T07:23:42.4830034Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4830406Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-09-07T07:23:42.4830777Z encoded_layers = self.encoder(embedding_output, 2025-09-07T07:23:42.4831135Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-09-07T07:23:42.4831517Z hidden_states = layer_module(hidden_states, attention_mask) 2025-09-07T07:23:42.4831960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-09-07T07:23:42.4832359Z attention_output = self.attention(hidden_states, attention_mask) 2025-09-07T07:23:42.4832760Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-09-07T07:23:42.4833120Z self_output = self.self(input_tensor, attention_mask) 2025-09-07T07:23:42.4833471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward 2025-09-07T07:23:42.4833820Z mixed_key_layer = self.key(hidden_states) 2025-09-07T07:23:42.4833948Z 2025-09-07T07:23:42.4834054Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4834422Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-09-07T07:23:42.4834778Z encoded_layers = self.encoder(embedding_output, 2025-09-07T07:23:42.4835146Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-09-07T07:23:42.4835521Z hidden_states = layer_module(hidden_states, attention_mask) 2025-09-07T07:23:42.4835892Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-09-07T07:23:42.4836285Z attention_output = self.attention(hidden_states, attention_mask) 2025-09-07T07:23:42.4836660Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-09-07T07:23:42.4837025Z self_output = self.self(input_tensor, attention_mask) 2025-09-07T07:23:42.4837391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward 2025-09-07T07:23:42.4837748Z mixed_value_layer = self.value(hidden_states) 2025-09-07T07:23:42.4837887Z 2025-09-07T07:23:42.4837978Z cudagraph partition due to non gpu ops 2025-09-07T07:23:42.4838186Z cudagraph partition due to non gpu ops 2025-09-07T07:23:42.4838423Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4838786Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-09-07T07:23:42.4839140Z encoded_layers = self.encoder(embedding_output, 2025-09-07T07:23:42.4839481Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-09-07T07:23:42.4839855Z hidden_states = layer_module(hidden_states, attention_mask) 2025-09-07T07:23:42.4840261Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-09-07T07:23:42.4840657Z attention_output = self.attention(hidden_states, attention_mask) 2025-09-07T07:23:42.4841046Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward 2025-09-07T07:23:42.4841421Z attention_output = self.output(self_output, input_tensor) 2025-09-07T07:23:42.4841797Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward 2025-09-07T07:23:42.4842163Z hidden_states = self.dense(hidden_states) 2025-09-07T07:23:42.4842296Z 2025-09-07T07:23:42.4842406Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4842784Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-09-07T07:23:42.4843151Z encoded_layers = self.encoder(embedding_output, 2025-09-07T07:23:42.4843517Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-09-07T07:23:42.4843907Z hidden_states = layer_module(hidden_states, attention_mask) 2025-09-07T07:23:42.4844302Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-09-07T07:23:42.4844722Z intermediate_output = self.intermediate(attention_output) 2025-09-07T07:23:42.4845178Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward 2025-09-07T07:23:42.4845634Z hidden_states = self.dense(hidden_states) 2025-09-07T07:23:42.4845782Z 2025-09-07T07:23:42.4845897Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4846303Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-09-07T07:23:42.4846659Z encoded_layers = self.encoder(embedding_output, 2025-09-07T07:23:42.4847013Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-09-07T07:23:42.4847389Z hidden_states = layer_module(hidden_states, attention_mask) 2025-09-07T07:23:42.4847757Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-09-07T07:23:42.4848134Z intermediate_output = self.intermediate(attention_output) 2025-09-07T07:23:42.4848499Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward 2025-09-07T07:23:42.4848871Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-09-07T07:23:42.4849234Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu 2025-09-07T07:23:42.4849589Z return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0))) 2025-09-07T07:23:42.4849732Z 2025-09-07T07:23:42.4849839Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4850189Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-09-07T07:23:42.4850543Z encoded_layers = self.encoder(embedding_output, 2025-09-07T07:23:42.4850896Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-09-07T07:23:42.4851269Z hidden_states = layer_module(hidden_states, attention_mask) 2025-09-07T07:23:42.4851637Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward 2025-09-07T07:23:42.4852016Z layer_output = self.output(intermediate_output, attention_output) 2025-09-07T07:23:42.4852398Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward 2025-09-07T07:23:42.4852743Z hidden_states = self.dense(hidden_states) 2025-09-07T07:23:42.4852984Z 2025-09-07T07:23:42.4853090Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4853441Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 518, in forward 2025-09-07T07:23:42.4853799Z pooled_output = self.pooler(sequence_output) 2025-09-07T07:23:42.4854150Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 404, in forward 2025-09-07T07:23:42.4854510Z pooled_output = self.dense(first_token_tensor) 2025-09-07T07:23:42.4854651Z 2025-09-07T07:23:42.4854757Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:42.4855113Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 518, in forward 2025-09-07T07:23:42.4855468Z pooled_output = self.pooler(sequence_output) 2025-09-07T07:23:42.4855818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 405, in forward 2025-09-07T07:23:42.4856179Z pooled_output = self.activation(pooled_output) 2025-09-07T07:23:42.4856320Z 2025-09-07T07:23:44.9437329Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:44.9439060Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/embeddings/bert_embedding.py", line 140, in torch_dynamo_resume_in_forward_at_137 2025-09-07T07:23:44.9439529Z return self.dropout(outputs) 2025-09-07T07:23:44.9440303Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/embeddings/embedding.py", line 160, in dropout 2025-09-07T07:23:44.9440688Z return self.dropout_layer(words) 2025-09-07T07:23:44.9440827Z 2025-09-07T07:23:45.5493521Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:45.5494980Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/models/bert.py", line 266, in torch_dynamo_resume_in_forward_at_265 2025-09-07T07:23:45.5495465Z logits = self.qa_outputs(sequence_output) # [batch_size, seq_len, num_labels] 2025-09-07T07:23:45.5495704Z 2025-09-07T07:23:45.8732807Z Compilation time (from dynamo_timed): 18.950613987 2025-09-07T07:23:45.8733103Z pass 2025-09-07T07:23:45.8733366Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:23:45.8734134Z TIMING: gc:0.00482 entire_frame_compile:18.95061 _recursive_pre_grad_passes:0.00908 _recursive_joint_graph_passes:0.69388 _recursive_post_grad_passes:0.06504 async_compile.wait:1.73626 code_gen:3.36472 inductor_compile:4.44499 backend_compile:8.16523 total_wall_time:18.95061 2025-09-07T07:23:45.8735001Z STATS: call_* op count: 440 | FakeTensorMode.__torch_dispatch__:15946 | ProxyTorchDispatchMode.__torch_dispatch__:6097 | FakeTensor.__torch_dispatch__:4216 2025-09-07T07:23:45.8735474Z Dynamo produced 4 graphs covering 440 ops with 4 graph breaks (1 unique) 2025-09-07T07:23:47.8370302Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T07:23:47.8371729Z import pynvml # type: ignore[import] 2025-09-07T07:23:49.8381685Z 2025-09-07T07:23:50.1876982Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:23:50.1877493Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:23:50.1877828Z cpu eval functorch_dp_cifar10 2025-09-07T07:23:50.2221556Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:23:50.2455783Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:23:50.2613796Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:23:59.6361308Z cudagraph partition due to non gpu ops 2025-09-07T07:23:59.6361633Z cudagraph partition due to non gpu ops 2025-09-07T07:23:59.6361865Z cudagraph partition due to non gpu ops 2025-09-07T07:23:59.6362548Z cudagraph partition due to non gpu ops 2025-09-07T07:23:59.6362795Z cudagraph partition due to non gpu ops 2025-09-07T07:23:59.6363011Z cudagraph partition due to non gpu ops 2025-09-07T07:23:59.6363223Z cudagraph partition due to non gpu ops 2025-09-07T07:23:59.6365134Z cudagraph partition due to non gpu ops 2025-09-07T07:23:59.6365613Z cudagraph partition due to non gpu ops 2025-09-07T07:23:59.6365848Z cudagraph partition due to non gpu ops 2025-09-07T07:23:59.6366111Z cudagraph partition due to non gpu ops 2025-09-07T07:23:59.6366372Z cudagraph partition due to non gpu ops 2025-09-07T07:23:59.6366592Z cudagraph partition due to non gpu ops 2025-09-07T07:23:59.6366811Z cudagraph partition due to non gpu ops 2025-09-07T07:23:59.6367023Z cudagraph partition due to non gpu ops 2025-09-07T07:23:59.6367328Z cudagraph partition due to non gpu ops 2025-09-07T07:23:59.6367550Z cudagraph partition due to non gpu ops 2025-09-07T07:23:59.6367796Z cudagraph partition due to non gpu ops 2025-09-07T07:23:59.6368075Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:59.6368490Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:23:59.6368848Z return mod(*inputs) 2025-09-07T07:23:59.6369224Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:23:59.6369615Z return self._forward_impl(x) 2025-09-07T07:23:59.6370374Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 268, in _forward_impl 2025-09-07T07:23:59.6370777Z x = self.conv1(x) 2025-09-07T07:23:59.6370890Z 2025-09-07T07:23:59.6371054Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:59.6371444Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:23:59.6371790Z return mod(*inputs) 2025-09-07T07:23:59.6372129Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:23:59.6372514Z return self._forward_impl(x) 2025-09-07T07:23:59.6372890Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 270, in _forward_impl 2025-09-07T07:23:59.6373281Z x = self.relu(x) 2025-09-07T07:23:59.6373389Z 2025-09-07T07:23:59.6373507Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:59.6373884Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:23:59.6374265Z return mod(*inputs) 2025-09-07T07:23:59.6374603Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:23:59.6374970Z return self._forward_impl(x) 2025-09-07T07:23:59.6375342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 271, in _forward_impl 2025-09-07T07:23:59.6375734Z x = self.maxpool(x) 2025-09-07T07:23:59.6375854Z 2025-09-07T07:23:59.6375961Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:59.6376347Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:23:59.6376694Z return mod(*inputs) 2025-09-07T07:23:59.6377023Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:23:59.6377381Z return self._forward_impl(x) 2025-09-07T07:23:59.6377732Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T07:23:59.6378088Z x = self.layer1(x) 2025-09-07T07:23:59.6378397Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward 2025-09-07T07:23:59.6378735Z out = self.conv1(x) 2025-09-07T07:23:59.6378843Z 2025-09-07T07:23:59.6378947Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:59.6379388Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:23:59.6379710Z return mod(*inputs) 2025-09-07T07:23:59.6380018Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:23:59.6380366Z return self._forward_impl(x) 2025-09-07T07:23:59.6380716Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T07:23:59.6381072Z x = self.layer1(x) 2025-09-07T07:23:59.6381380Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 94, in forward 2025-09-07T07:23:59.6381721Z out = self.relu(out) 2025-09-07T07:23:59.6381837Z 2025-09-07T07:23:59.6381942Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:59.6382303Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:23:59.6382630Z return mod(*inputs) 2025-09-07T07:23:59.6382938Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:23:59.6383281Z return self._forward_impl(x) 2025-09-07T07:23:59.6383631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T07:23:59.6383981Z x = self.layer1(x) 2025-09-07T07:23:59.6384329Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward 2025-09-07T07:23:59.6384668Z out = self.conv2(out) 2025-09-07T07:23:59.6384785Z 2025-09-07T07:23:59.6384889Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:59.6385245Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:23:59.6385563Z return mod(*inputs) 2025-09-07T07:23:59.6385871Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:23:59.6386220Z return self._forward_impl(x) 2025-09-07T07:23:59.6386565Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T07:23:59.6386918Z x = self.layer1(x) 2025-09-07T07:23:59.6387221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 103, in forward 2025-09-07T07:23:59.6387560Z out = self.relu(out) 2025-09-07T07:23:59.6387675Z 2025-09-07T07:23:59.6387783Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:59.6388138Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:23:59.6388455Z return mod(*inputs) 2025-09-07T07:23:59.6388760Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:23:59.6389103Z return self._forward_impl(x) 2025-09-07T07:23:59.6389452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T07:23:59.6389804Z x = self.layer1(x) 2025-09-07T07:23:59.6390102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward 2025-09-07T07:23:59.6390434Z out = self.conv1(x) 2025-09-07T07:23:59.6390539Z 2025-09-07T07:23:59.6390643Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:59.6390998Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:23:59.6391315Z return mod(*inputs) 2025-09-07T07:23:59.6391620Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:23:59.6391963Z return self._forward_impl(x) 2025-09-07T07:23:59.6392309Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T07:23:59.6392662Z x = self.layer1(x) 2025-09-07T07:23:59.6393006Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 94, in forward 2025-09-07T07:23:59.6393344Z out = self.relu(out) 2025-09-07T07:23:59.6393458Z 2025-09-07T07:23:59.6393565Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:59.6393927Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:23:59.6394256Z return mod(*inputs) 2025-09-07T07:23:59.6394561Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:23:59.6394900Z return self._forward_impl(x) 2025-09-07T07:23:59.6395242Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T07:23:59.6395594Z x = self.layer1(x) 2025-09-07T07:23:59.6395902Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward 2025-09-07T07:23:59.6396250Z out = self.conv2(out) 2025-09-07T07:23:59.6396370Z 2025-09-07T07:23:59.6396478Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:59.6396843Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:23:59.6397168Z return mod(*inputs) 2025-09-07T07:23:59.6397481Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:23:59.6397865Z return self._forward_impl(x) 2025-09-07T07:23:59.6398215Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T07:23:59.6398565Z x = self.layer1(x) 2025-09-07T07:23:59.6398873Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 103, in forward 2025-09-07T07:23:59.6399212Z out = self.relu(out) 2025-09-07T07:23:59.6399324Z 2025-09-07T07:23:59.6399427Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:59.6399795Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:23:59.6400107Z return mod(*inputs) 2025-09-07T07:23:59.6400405Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:23:59.6400739Z return self._forward_impl(x) 2025-09-07T07:23:59.6401086Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T07:23:59.6401438Z x = self.layer2(x) 2025-09-07T07:23:59.6401742Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward 2025-09-07T07:23:59.6402077Z out = self.conv1(x) 2025-09-07T07:23:59.6402186Z 2025-09-07T07:23:59.6402289Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:59.6402644Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:23:59.6402964Z return mod(*inputs) 2025-09-07T07:23:59.6403272Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:23:59.6403610Z return self._forward_impl(x) 2025-09-07T07:23:59.6403953Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T07:23:59.6404298Z x = self.layer2(x) 2025-09-07T07:23:59.6404599Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 94, in forward 2025-09-07T07:23:59.6404933Z out = self.relu(out) 2025-09-07T07:23:59.6405045Z 2025-09-07T07:23:59.6405148Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:59.6405653Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:23:59.6405983Z return mod(*inputs) 2025-09-07T07:23:59.6406307Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:23:59.6406710Z return self._forward_impl(x) 2025-09-07T07:23:59.6407048Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T07:23:59.6407389Z x = self.layer2(x) 2025-09-07T07:23:59.6407686Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward 2025-09-07T07:23:59.6408021Z out = self.conv2(out) 2025-09-07T07:23:59.6408141Z 2025-09-07T07:23:59.6408245Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:59.6408597Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:23:59.6413049Z return mod(*inputs) 2025-09-07T07:23:59.6413386Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:23:59.6413739Z return self._forward_impl(x) 2025-09-07T07:23:59.6414097Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T07:23:59.6414658Z x = self.layer2(x) 2025-09-07T07:23:59.6414974Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 100, in forward 2025-09-07T07:23:59.6415329Z identity = self.downsample(x) 2025-09-07T07:23:59.6415467Z 2025-09-07T07:23:59.6415574Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:59.6416036Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:23:59.6416356Z return mod(*inputs) 2025-09-07T07:23:59.6416672Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:23:59.6417053Z return self._forward_impl(x) 2025-09-07T07:23:59.6417396Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T07:23:59.6417761Z x = self.layer2(x) 2025-09-07T07:23:59.6418075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 103, in forward 2025-09-07T07:23:59.6418417Z out = self.relu(out) 2025-09-07T07:23:59.6418525Z 2025-09-07T07:23:59.6418636Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:59.6418988Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:23:59.6419314Z return mod(*inputs) 2025-09-07T07:23:59.6419631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:23:59.6419982Z return self._forward_impl(x) 2025-09-07T07:23:59.6420325Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T07:23:59.6420686Z x = self.layer2(x) 2025-09-07T07:23:59.6420996Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward 2025-09-07T07:23:59.6421334Z out = self.conv1(x) 2025-09-07T07:23:59.6421434Z 2025-09-07T07:23:59.6421542Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:59.6421891Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:23:59.6422213Z return mod(*inputs) 2025-09-07T07:23:59.6422530Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:23:59.6422872Z return self._forward_impl(x) 2025-09-07T07:23:59.6423217Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T07:23:59.6423579Z x = self.layer2(x) 2025-09-07T07:23:59.6423891Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 94, in forward 2025-09-07T07:23:59.6424230Z out = self.relu(out) 2025-09-07T07:23:59.6424381Z 2025-09-07T07:23:59.6424493Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:59.6424835Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:23:59.6425134Z return mod(*inputs) 2025-09-07T07:23:59.6425436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:23:59.6425764Z return self._forward_impl(x) 2025-09-07T07:23:59.6426094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T07:23:59.6426437Z x = self.layer2(x) 2025-09-07T07:23:59.6426730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward 2025-09-07T07:23:59.6427125Z out = self.conv2(out) 2025-09-07T07:23:59.6427229Z 2025-09-07T07:23:59.6427336Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:59.6427665Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:23:59.6427972Z return mod(*inputs) 2025-09-07T07:23:59.6428269Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:23:59.6428594Z return self._forward_impl(x) 2025-09-07T07:23:59.6428916Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T07:23:59.6429253Z x = self.layer2(x) 2025-09-07T07:23:59.6429591Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 103, in forward 2025-09-07T07:23:59.6429925Z out = self.relu(out) 2025-09-07T07:23:59.6430025Z 2025-09-07T07:23:59.6430131Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:59.6430464Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:23:59.6430768Z return mod(*inputs) 2025-09-07T07:23:59.6431071Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:23:59.6431412Z return self._forward_impl(x) 2025-09-07T07:23:59.6431743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T07:23:59.6432071Z x = self.layer3(x) 2025-09-07T07:23:59.6432364Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward 2025-09-07T07:23:59.6432684Z out = self.conv1(x) 2025-09-07T07:23:59.6432781Z 2025-09-07T07:23:59.6432885Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:59.6433226Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:23:59.6433525Z return mod(*inputs) 2025-09-07T07:23:59.6433827Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:23:59.6434158Z return self._forward_impl(x) 2025-09-07T07:23:59.6434494Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T07:23:59.6434825Z x = self.layer3(x) 2025-09-07T07:23:59.6435120Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 94, in forward 2025-09-07T07:23:59.6435446Z out = self.relu(out) 2025-09-07T07:23:59.6435545Z 2025-09-07T07:23:59.6435651Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:59.6435985Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:23:59.6436285Z return mod(*inputs) 2025-09-07T07:23:59.6436583Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:23:59.6436913Z return self._forward_impl(x) 2025-09-07T07:23:59.6437242Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T07:23:59.6437590Z x = self.layer3(x) 2025-09-07T07:23:59.6437893Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward 2025-09-07T07:23:59.6438221Z out = self.conv2(out) 2025-09-07T07:23:59.6438331Z 2025-09-07T07:23:59.6438436Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:59.6438783Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:23:59.6439086Z return mod(*inputs) 2025-09-07T07:23:59.6439390Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:23:59.6439723Z return self._forward_impl(x) 2025-09-07T07:23:59.6440096Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T07:23:59.6440432Z x = self.layer3(x) 2025-09-07T07:23:59.6440739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 100, in forward 2025-09-07T07:23:59.6441086Z identity = self.downsample(x) 2025-09-07T07:23:59.6441207Z 2025-09-07T07:23:59.6441316Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:59.6441669Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:23:59.6441978Z return mod(*inputs) 2025-09-07T07:23:59.6442326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:23:59.6442667Z return self._forward_impl(x) 2025-09-07T07:23:59.6443009Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T07:23:59.6443355Z x = self.layer3(x) 2025-09-07T07:23:59.6443653Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 103, in forward 2025-09-07T07:23:59.6443989Z out = self.relu(out) 2025-09-07T07:23:59.6444092Z 2025-09-07T07:23:59.6444202Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:59.6444555Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:23:59.6444863Z return mod(*inputs) 2025-09-07T07:23:59.6445177Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:23:59.6445679Z return self._forward_impl(x) 2025-09-07T07:23:59.6446032Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T07:23:59.6446383Z x = self.layer3(x) 2025-09-07T07:23:59.6446681Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward 2025-09-07T07:23:59.6447014Z out = self.conv1(x) 2025-09-07T07:23:59.6447114Z 2025-09-07T07:23:59.6447261Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:59.6447608Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:23:59.6447917Z return mod(*inputs) 2025-09-07T07:23:59.6448212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:23:59.6448546Z return self._forward_impl(x) 2025-09-07T07:23:59.6448891Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T07:23:59.6449238Z x = self.layer3(x) 2025-09-07T07:23:59.6449543Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 94, in forward 2025-09-07T07:23:59.6449866Z out = self.relu(out) 2025-09-07T07:23:59.6449980Z 2025-09-07T07:23:59.6450081Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:59.6450426Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:23:59.6450772Z return mod(*inputs) 2025-09-07T07:23:59.6451074Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:23:59.6451407Z return self._forward_impl(x) 2025-09-07T07:23:59.6451744Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T07:23:59.6452090Z x = self.layer3(x) 2025-09-07T07:23:59.6452395Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward 2025-09-07T07:23:59.6452719Z out = self.conv2(out) 2025-09-07T07:23:59.6452831Z 2025-09-07T07:23:59.6452932Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:59.6453278Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:23:59.6453611Z return mod(*inputs) 2025-09-07T07:23:59.6453910Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:23:59.6454260Z return self._forward_impl(x) 2025-09-07T07:23:59.6454597Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T07:23:59.6454941Z x = self.layer3(x) 2025-09-07T07:23:59.6455246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 103, in forward 2025-09-07T07:23:59.6455573Z out = self.relu(out) 2025-09-07T07:23:59.6455681Z 2025-09-07T07:23:59.6455826Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:59.6456171Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:23:59.6456479Z return mod(*inputs) 2025-09-07T07:23:59.6456777Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:23:59.6457110Z return self._forward_impl(x) 2025-09-07T07:23:59.6457444Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T07:23:59.6457805Z x = self.layer4(x) 2025-09-07T07:23:59.6458115Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward 2025-09-07T07:23:59.6458446Z out = self.conv1(x) 2025-09-07T07:23:59.6458555Z 2025-09-07T07:23:59.6458657Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:59.6459018Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:23:59.6459337Z return mod(*inputs) 2025-09-07T07:23:59.6459646Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:23:59.6459989Z return self._forward_impl(x) 2025-09-07T07:23:59.6460333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T07:23:59.6460669Z x = self.layer4(x) 2025-09-07T07:23:59.6460964Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 94, in forward 2025-09-07T07:23:59.6461275Z out = self.relu(out) 2025-09-07T07:23:59.6461383Z 2025-09-07T07:23:59.6461482Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:59.6461824Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:23:59.6462134Z return mod(*inputs) 2025-09-07T07:23:59.6462425Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:23:59.6462751Z return self._forward_impl(x) 2025-09-07T07:23:59.6463080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T07:23:59.6463413Z x = self.layer4(x) 2025-09-07T07:23:59.6463704Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward 2025-09-07T07:23:59.6464129Z out = self.conv2(out) 2025-09-07T07:23:59.6464242Z 2025-09-07T07:23:59.6464341Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:59.6464678Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:23:59.6464984Z return mod(*inputs) 2025-09-07T07:23:59.6465278Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:23:59.6465606Z return self._forward_impl(x) 2025-09-07T07:23:59.6465934Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T07:23:59.6466268Z x = self.layer4(x) 2025-09-07T07:23:59.6466588Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 100, in forward 2025-09-07T07:23:59.6466906Z identity = self.downsample(x) 2025-09-07T07:23:59.6467031Z 2025-09-07T07:23:59.6467129Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:59.6467459Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:23:59.6467756Z return mod(*inputs) 2025-09-07T07:23:59.6468044Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:23:59.6468365Z return self._forward_impl(x) 2025-09-07T07:23:59.6468726Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T07:23:59.6469062Z x = self.layer4(x) 2025-09-07T07:23:59.6469356Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 103, in forward 2025-09-07T07:23:59.6469672Z out = self.relu(out) 2025-09-07T07:23:59.6469780Z 2025-09-07T07:23:59.6469878Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:59.6470210Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:23:59.6470513Z return mod(*inputs) 2025-09-07T07:23:59.6470803Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:23:59.6471126Z return self._forward_impl(x) 2025-09-07T07:23:59.6471453Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T07:23:59.6471790Z x = self.layer4(x) 2025-09-07T07:23:59.6472083Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward 2025-09-07T07:23:59.6472392Z out = self.conv1(x) 2025-09-07T07:23:59.6472494Z 2025-09-07T07:23:59.6472590Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:59.6472922Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:23:59.6473227Z return mod(*inputs) 2025-09-07T07:23:59.6473513Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:23:59.6473839Z return self._forward_impl(x) 2025-09-07T07:23:59.6474164Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T07:23:59.6474501Z x = self.layer4(x) 2025-09-07T07:23:59.6474790Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 94, in forward 2025-09-07T07:23:59.6475102Z out = self.relu(out) 2025-09-07T07:23:59.6475209Z 2025-09-07T07:23:59.6475306Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:59.6475638Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:23:59.6475939Z return mod(*inputs) 2025-09-07T07:23:59.6476230Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:23:59.6476552Z return self._forward_impl(x) 2025-09-07T07:23:59.6476906Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T07:23:59.6477239Z x = self.layer4(x) 2025-09-07T07:23:59.6477529Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward 2025-09-07T07:23:59.6477840Z out = self.conv2(out) 2025-09-07T07:23:59.6477951Z 2025-09-07T07:23:59.6478051Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:59.6478387Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:23:59.6478688Z return mod(*inputs) 2025-09-07T07:23:59.6478975Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:23:59.6479335Z return self._forward_impl(x) 2025-09-07T07:23:59.6479664Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 278, in _forward_impl 2025-09-07T07:23:59.6480012Z x = self.avgpool(x) 2025-09-07T07:23:59.6480108Z 2025-09-07T07:23:59.6480210Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:23:59.6480528Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:23:59.6480829Z return mod(*inputs) 2025-09-07T07:23:59.6481124Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:23:59.6481479Z return self._forward_impl(x) 2025-09-07T07:23:59.6481804Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 280, in _forward_impl 2025-09-07T07:23:59.6482138Z x = self.fc(x) 2025-09-07T07:23:59.6482236Z 2025-09-07T07:24:10.0282963Z Compilation time (from dynamo_timed): 18.831505582 2025-09-07T07:24:10.0283298Z pass 2025-09-07T07:24:10.0283625Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:24:10.0284508Z TIMING: _recursive_pre_grad_passes:0.00391 _recursive_joint_graph_passes:0.18095 _recursive_post_grad_passes:0.04411 async_compile.wait:0.68511 code_gen:10.63026 inductor_compile:12.50907 backend_compile:16.44237 gc:0.00056 entire_frame_compile:18.83151 total_wall_time:18.83151 2025-09-07T07:24:10.0285888Z STATS: call_* op count: 69 | FakeTensorMode.__torch_dispatch__:4195 | FakeTensor.__torch_dispatch__:2339 | attempt fast:90 | fast is_contiguous:86 | slow both tensors nontrivially broadcast:4 | ProxyTorchDispatchMode.__torch_dispatch__:1258 2025-09-07T07:24:10.0286587Z Dynamo produced 1 graphs covering 69 ops with 0 graph breaks (0 unique) 2025-09-07T07:24:12.0406316Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T07:24:12.0407258Z import pynvml # type: ignore[import] 2025-09-07T07:24:14.0134352Z 2025-09-07T07:24:14.1777016Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:24:14.1781953Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:24:14.1786390Z cpu eval functorch_maml_omniglot 2025-09-07T07:24:14.1814018Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:24:14.1865477Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:24:14.1881825Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:24:16.4682322Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:24:16.4685511Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:24:16.4686418Z return mod(*inputs) 2025-09-07T07:24:16.4688885Z 2025-09-07T07:24:16.4689137Z cudagraph partition due to non gpu ops 2025-09-07T07:24:16.4689766Z cudagraph partition due to non gpu ops 2025-09-07T07:24:16.4690044Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:24:16.4690494Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:24:16.4690867Z return mod(*inputs) 2025-09-07T07:24:16.4690987Z 2025-09-07T07:24:16.4691095Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:24:16.4691498Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:24:16.4691830Z return mod(*inputs) 2025-09-07T07:24:16.4691945Z 2025-09-07T07:24:16.4692050Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:24:16.4692433Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:24:16.4692864Z return mod(*inputs) 2025-09-07T07:24:16.4692966Z 2025-09-07T07:24:16.4693077Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:24:16.4693451Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:24:16.4693797Z return mod(*inputs) 2025-09-07T07:24:16.4693907Z 2025-09-07T07:24:16.4694010Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:24:16.4694395Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:24:16.4694727Z return mod(*inputs) 2025-09-07T07:24:16.4694828Z 2025-09-07T07:24:16.4695040Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:24:16.4695464Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:24:16.4695835Z return mod(*inputs) 2025-09-07T07:24:16.4695929Z 2025-09-07T07:24:16.4696027Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:24:16.4696347Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:24:16.4696632Z return mod(*inputs) 2025-09-07T07:24:16.4696726Z 2025-09-07T07:24:16.4696818Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:24:16.4697135Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:24:16.4697421Z return mod(*inputs) 2025-09-07T07:24:16.4697511Z 2025-09-07T07:24:16.4697603Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:24:16.4697926Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:24:16.4698214Z return mod(*inputs) 2025-09-07T07:24:16.4698306Z 2025-09-07T07:24:24.9708468Z Compilation time (from dynamo_timed): 9.93385461 2025-09-07T07:24:24.9708750Z pass 2025-09-07T07:24:24.9712687Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:24:24.9713629Z TIMING: _recursive_pre_grad_passes:0.00385 _recursive_joint_graph_passes:0.28505 _recursive_post_grad_passes:0.01594 async_compile.wait:0.75854 code_gen:8.48341 inductor_compile:8.62052 backend_compile:9.65687 gc:0.00081 entire_frame_compile:9.93385 total_wall_time:9.93385 2025-09-07T07:24:24.9714808Z STATS: call_* op count: 14 | FakeTensor.__torch_dispatch__:296 | FakeTensorMode.__torch_dispatch__:1188 | ProxyTorchDispatchMode.__torch_dispatch__:289 2025-09-07T07:24:24.9715393Z Dynamo produced 1 graphs covering 14 ops with 0 graph breaks (0 unique) 2025-09-07T07:24:26.4183931Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T07:24:26.4184857Z import pynvml # type: ignore[import] 2025-09-07T07:24:28.4039285Z 2025-09-07T07:24:29.0541365Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:24:29.0541801Z 2025-09-07T07:24:29.0583433Z config.json: 0% 0.00/684 [00:00blqk", from_blocked_mask[:, 2:-2], exp_blocked_to_pad) 2025-09-07T07:27:41.9125988Z 2025-09-07T07:27:48.0183569Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:27:48.0187311Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 440, in forward 2025-09-07T07:27:48.0188087Z self.query(hidden_states) 2025-09-07T07:27:48.0188244Z 2025-09-07T07:27:48.0188411Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:27:48.0188888Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 445, in forward 2025-09-07T07:27:48.0189646Z self.key(hidden_states) 2025-09-07T07:27:48.0189806Z 2025-09-07T07:27:48.0189935Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:27:48.0190389Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 450, in forward 2025-09-07T07:27:48.0202517Z self.value(hidden_states) 2025-09-07T07:27:48.0202661Z 2025-09-07T07:27:49.3734865Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:27:49.3739410Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1139, in _bigbird_block_rand_mask_with_head 2025-09-07T07:27:49.3744409Z plan_block_length = np.array(plan_from_length) // from_block_size 2025-09-07T07:27:49.3745703Z 2025-09-07T07:27:53.0411687Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:27:53.0414210Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 602, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564 2025-09-07T07:27:53.0420681Z first_product = self.torch_bmm_nd_transpose(blocked_query_matrix[:, :, 0], key_layer, ndim=4) 2025-09-07T07:27:53.0421379Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 494, in torch_bmm_nd_transpose 2025-09-07T07:27:53.0421961Z inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:]).transpose(1, 2) 2025-09-07T07:27:53.0422196Z 2025-09-07T07:27:53.0422314Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:27:53.0422879Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 602, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564 2025-09-07T07:27:53.0423883Z first_product = self.torch_bmm_nd_transpose(blocked_query_matrix[:, :, 0], key_layer, ndim=4) 2025-09-07T07:27:53.0424430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 494, in torch_bmm_nd_transpose 2025-09-07T07:27:53.0424940Z inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:]).transpose(1, 2) 2025-09-07T07:27:53.0425161Z 2025-09-07T07:27:53.0425270Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:27:53.0425795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 611, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564 2025-09-07T07:27:53.0426386Z first_context_layer = self.torch_bmm_nd(first_attn_weights, value_layer, ndim=4) 2025-09-07T07:27:53.0426924Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 485, in torch_bmm_nd 2025-09-07T07:27:53.0427508Z return torch.bmm(inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:])).view( 2025-09-07T07:27:53.0427738Z 2025-09-07T07:27:53.0427827Z cudagraph partition due to non gpu ops 2025-09-07T07:27:53.0428049Z cudagraph partition due to non gpu ops 2025-09-07T07:27:53.0428339Z cudagraph partition due to non gpu ops 2025-09-07T07:27:53.0428563Z cudagraph partition due to non gpu ops 2025-09-07T07:27:53.0428778Z cudagraph partition due to non gpu ops 2025-09-07T07:27:53.0428989Z cudagraph partition due to non gpu ops 2025-09-07T07:27:53.0429197Z cudagraph partition due to non gpu ops 2025-09-07T07:27:53.0429404Z cudagraph partition due to non gpu ops 2025-09-07T07:27:53.0429602Z cudagraph partition due to non gpu ops 2025-09-07T07:27:53.0429814Z cudagraph partition due to non gpu ops 2025-09-07T07:27:53.0430024Z cudagraph partition due to non gpu ops 2025-09-07T07:27:53.0430230Z cudagraph partition due to non gpu ops 2025-09-07T07:27:53.0430433Z cudagraph partition due to non gpu ops 2025-09-07T07:27:53.0430644Z cudagraph partition due to non gpu ops 2025-09-07T07:27:53.0430889Z cudagraph partition due to non gpu ops 2025-09-07T07:27:53.0431089Z cudagraph partition due to non gpu ops 2025-09-07T07:27:53.0431310Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:27:53.0431845Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 642, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564 2025-09-07T07:27:53.0432489Z second_product = self.torch_bmm_nd_transpose(blocked_query_matrix[:, :, 1], second_key_mat, ndim=4) 2025-09-07T07:27:53.0433042Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 494, in torch_bmm_nd_transpose 2025-09-07T07:27:53.0433608Z inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:]).transpose(1, 2) 2025-09-07T07:27:53.0433838Z 2025-09-07T07:27:53.0433925Z cudagraph partition due to non gpu ops 2025-09-07T07:27:53.0434124Z cudagraph partition due to non gpu ops 2025-09-07T07:27:53.0434357Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:27:53.0434891Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 647, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564 2025-09-07T07:27:53.0435448Z to_mask.new_ones([bsz, 1, 1, n_rand_blocks * to_block_size]), 2025-09-07T07:27:53.0435621Z 2025-09-07T07:27:53.0435725Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:27:53.0436252Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 653, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564 2025-09-07T07:27:53.0436812Z rand_mask.new_ones([bsz, n_heads, from_block_size, 4 * to_block_size]), 2025-09-07T07:27:53.0436992Z 2025-09-07T07:27:53.0437066Z cudagraph partition due to non gpu ops 2025-09-07T07:27:53.0437288Z cudagraph partition due to non gpu ops 2025-09-07T07:27:53.0437515Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:27:53.0438012Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 698, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564 2025-09-07T07:27:53.0438484Z first_band_product = torch.einsum( 2025-09-07T07:27:53.0438613Z 2025-09-07T07:27:53.0438688Z cudagraph partition due to non gpu ops 2025-09-07T07:27:53.0438887Z cudagraph partition due to non gpu ops 2025-09-07T07:27:53.0439084Z cudagraph partition due to non gpu ops 2025-09-07T07:27:53.0439306Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:27:53.0439793Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 704, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564 2025-09-07T07:27:53.0440266Z last_band_product = torch.einsum( 2025-09-07T07:27:53.0440395Z 2025-09-07T07:27:53.0440469Z cudagraph partition due to non gpu ops 2025-09-07T07:27:53.0440665Z cudagraph partition due to non gpu ops 2025-09-07T07:27:53.0440854Z cudagraph partition due to non gpu ops 2025-09-07T07:27:53.0441050Z cudagraph partition due to non gpu ops 2025-09-07T07:27:53.0441271Z cudagraph partition due to non gpu ops 2025-09-07T07:27:53.0441464Z cudagraph partition due to non gpu ops 2025-09-07T07:27:53.0441652Z cudagraph partition due to non gpu ops 2025-09-07T07:27:53.0441872Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:27:53.0442376Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 776, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564 2025-09-07T07:27:53.0442994Z second_last_product = self.torch_bmm_nd_transpose(blocked_query_matrix[:, :, -2], second_last_key_mat, ndim=4) 2025-09-07T07:27:53.0443534Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 494, in torch_bmm_nd_transpose 2025-09-07T07:27:53.0444037Z inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:]).transpose(1, 2) 2025-09-07T07:27:53.0444239Z 2025-09-07T07:27:53.0444313Z cudagraph partition due to non gpu ops 2025-09-07T07:27:53.0444514Z cudagraph partition due to non gpu ops 2025-09-07T07:27:53.0444735Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:27:53.0445409Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 781, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564 2025-09-07T07:27:53.0445978Z to_mask.new_ones([bsz, 1, 1, n_rand_blocks * to_block_size]), 2025-09-07T07:27:53.0446170Z 2025-09-07T07:27:53.0446299Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:27:53.0446826Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 787, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564 2025-09-07T07:27:53.0447384Z rand_mask.new_ones([bsz, n_heads, from_block_size, 4 * to_block_size]), 2025-09-07T07:27:53.0447579Z 2025-09-07T07:27:53.0447663Z cudagraph partition due to non gpu ops 2025-09-07T07:27:53.0447858Z cudagraph partition due to non gpu ops 2025-09-07T07:27:53.0448085Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:27:53.0448589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 807, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564 2025-09-07T07:27:53.0449156Z last_product = self.torch_bmm_nd_transpose(blocked_query_matrix[:, :, -1], key_layer, ndim=4) 2025-09-07T07:27:53.0449663Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 494, in torch_bmm_nd_transpose 2025-09-07T07:27:53.0450165Z inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:]).transpose(1, 2) 2025-09-07T07:27:53.0450367Z 2025-09-07T07:27:53.0450466Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:27:53.0450973Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 807, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564 2025-09-07T07:27:53.0451549Z last_product = self.torch_bmm_nd_transpose(blocked_query_matrix[:, :, -1], key_layer, ndim=4) 2025-09-07T07:27:53.0452063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 494, in torch_bmm_nd_transpose 2025-09-07T07:27:53.0452554Z inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:]).transpose(1, 2) 2025-09-07T07:27:53.0452755Z 2025-09-07T07:27:53.0452853Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:27:53.0453359Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 813, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564 2025-09-07T07:27:53.0453914Z last_context_layer = self.torch_bmm_nd(last_attn_weights, value_layer, ndim=4) 2025-09-07T07:27:53.0454374Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 485, in torch_bmm_nd 2025-09-07T07:27:53.0454875Z return torch.bmm(inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:])).view( 2025-09-07T07:27:53.0455094Z 2025-09-07T07:27:53.0455198Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:27:53.0455692Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 602, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564 2025-09-07T07:27:53.0456261Z first_product = self.torch_bmm_nd_transpose(blocked_query_matrix[:, :, 0], key_layer, ndim=4) 2025-09-07T07:27:53.0456752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 493, in torch_bmm_nd_transpose 2025-09-07T07:27:53.0457163Z return torch.bmm( 2025-09-07T07:27:53.0457257Z 2025-09-07T07:27:53.0457356Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:27:53.0457828Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 611, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564 2025-09-07T07:27:53.0458353Z first_context_layer = self.torch_bmm_nd(first_attn_weights, value_layer, ndim=4) 2025-09-07T07:27:53.0458798Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 485, in torch_bmm_nd 2025-09-07T07:27:53.0459284Z return torch.bmm(inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:])).view( 2025-09-07T07:27:53.0459498Z 2025-09-07T07:27:53.0459601Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:27:53.0460075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 574, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564 2025-09-07T07:27:53.0460544Z rand_attn = np.stack(rand_attn, axis=0) 2025-09-07T07:27:53.0460679Z 2025-09-07T07:27:53.0460775Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:27:53.0461259Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 577, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564 2025-09-07T07:27:53.0461779Z rand_attn = torch.cat([rand_attn for _ in range(batch_size)], dim=0) 2025-09-07T07:27:53.0461951Z 2025-09-07T07:27:53.0462034Z cudagraph partition due to non gpu ops 2025-09-07T07:27:53.0462261Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:27:53.0462758Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 620, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564 2025-09-07T07:27:53.0463219Z second_key_mat = torch.cat( 2025-09-07T07:27:53.0463329Z 2025-09-07T07:27:53.0463431Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:27:53.0463913Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 642, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564 2025-09-07T07:27:53.0464487Z second_product = self.torch_bmm_nd_transpose(blocked_query_matrix[:, :, 1], second_key_mat, ndim=4) 2025-09-07T07:27:53.0464992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 493, in torch_bmm_nd_transpose 2025-09-07T07:27:53.0465385Z return torch.bmm( 2025-09-07T07:27:53.0465477Z 2025-09-07T07:27:53.0465574Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:27:53.0466055Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 643, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564 2025-09-07T07:27:53.0466510Z second_seq_pad = torch.cat( 2025-09-07T07:27:53.0466628Z 2025-09-07T07:27:53.0466737Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:27:53.0467287Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 579, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564 2025-09-07T07:27:53.0467767Z rand_mask = self._create_rand_mask_from_inputs( 2025-09-07T07:27:53.0468195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 994, in _create_rand_mask_from_inputs 2025-09-07T07:27:53.0468686Z rand_mask = torch.stack([p1[i1.flatten()] for p1, i1 in zip(to_blocked_mask, rand_attn)]) 2025-09-07T07:27:53.0469148Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 994, in 2025-09-07T07:27:53.0469633Z rand_mask = torch.stack([p1[i1.flatten()] for p1, i1 in zip(to_blocked_mask, rand_attn)]) 2025-09-07T07:27:53.0469830Z 2025-09-07T07:27:53.0469933Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:27:53.0470414Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 579, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564 2025-09-07T07:27:53.0470898Z rand_mask = self._create_rand_mask_from_inputs( 2025-09-07T07:27:53.0471334Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 994, in _create_rand_mask_from_inputs 2025-09-07T07:27:53.0471843Z rand_mask = torch.stack([p1[i1.flatten()] for p1, i1 in zip(to_blocked_mask, rand_attn)]) 2025-09-07T07:27:53.0472310Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 994, in 2025-09-07T07:27:53.0472781Z rand_mask = torch.stack([p1[i1.flatten()] for p1, i1 in zip(to_blocked_mask, rand_attn)]) 2025-09-07T07:27:53.0472975Z 2025-09-07T07:27:53.0473079Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:27:53.0473565Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 579, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564 2025-09-07T07:27:53.0474068Z rand_mask = self._create_rand_mask_from_inputs( 2025-09-07T07:27:53.0474485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 994, in _create_rand_mask_from_inputs 2025-09-07T07:27:53.0474979Z rand_mask = torch.stack([p1[i1.flatten()] for p1, i1 in zip(to_blocked_mask, rand_attn)]) 2025-09-07T07:27:53.0475453Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 994, in 2025-09-07T07:27:53.0475900Z rand_mask = torch.stack([p1[i1.flatten()] for p1, i1 in zip(to_blocked_mask, rand_attn)]) 2025-09-07T07:27:53.0476103Z 2025-09-07T07:27:53.0476201Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:27:53.0476705Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 579, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564 2025-09-07T07:27:53.0477191Z rand_mask = self._create_rand_mask_from_inputs( 2025-09-07T07:27:53.0477617Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 994, in _create_rand_mask_from_inputs 2025-09-07T07:27:53.0478103Z rand_mask = torch.stack([p1[i1.flatten()] for p1, i1 in zip(to_blocked_mask, rand_attn)]) 2025-09-07T07:27:53.0478559Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 994, in 2025-09-07T07:27:53.0479010Z rand_mask = torch.stack([p1[i1.flatten()] for p1, i1 in zip(to_blocked_mask, rand_attn)]) 2025-09-07T07:27:53.0479205Z 2025-09-07T07:27:53.0479310Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:27:53.0479819Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 579, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564 2025-09-07T07:27:53.0480304Z rand_mask = self._create_rand_mask_from_inputs( 2025-09-07T07:27:53.0480728Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 994, in _create_rand_mask_from_inputs 2025-09-07T07:27:53.0481218Z rand_mask = torch.stack([p1[i1.flatten()] for p1, i1 in zip(to_blocked_mask, rand_attn)]) 2025-09-07T07:27:53.0481421Z 2025-09-07T07:27:53.0481500Z cudagraph partition due to non gpu ops 2025-09-07T07:27:53.0481726Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:27:53.0482229Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 651, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564 2025-09-07T07:27:53.0482700Z second_rand_pad = torch.cat( 2025-09-07T07:27:53.0482828Z 2025-09-07T07:27:53.0482924Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:27:53.0483417Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 630, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564 2025-09-07T07:27:53.0483883Z second_value_mat = torch.cat( 2025-09-07T07:27:53.0484003Z 2025-09-07T07:27:53.0484104Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:27:53.0484606Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 665, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564 2025-09-07T07:27:53.0485225Z second_context_layer = self.torch_bmm_nd(second_attn_weights, second_value_mat, ndim=4) 2025-09-07T07:27:53.0485729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 485, in torch_bmm_nd 2025-09-07T07:27:53.0486239Z return torch.bmm(inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:])).view( 2025-09-07T07:27:53.0486471Z 2025-09-07T07:27:53.0486579Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:27:53.0487081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 698, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564 2025-09-07T07:27:53.0487558Z first_band_product = torch.einsum( 2025-09-07T07:27:53.0487693Z 2025-09-07T07:27:53.0487789Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:27:53.0488303Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 676, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564 2025-09-07T07:27:53.0488786Z exp_blocked_key_matrix = torch.cat( 2025-09-07T07:27:53.0488915Z 2025-09-07T07:27:53.0489013Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:27:53.0489510Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 687, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564 2025-09-07T07:27:53.0490096Z inner_band_product = self.torch_bmm_nd_transpose(middle_query_matrix, exp_blocked_key_matrix, ndim=5) 2025-09-07T07:27:53.0490625Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 493, in torch_bmm_nd_transpose 2025-09-07T07:27:53.0491033Z return torch.bmm( 2025-09-07T07:27:53.0491128Z 2025-09-07T07:27:53.0491230Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:27:53.0491724Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 693, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564 2025-09-07T07:27:53.0492312Z rand_band_product = self.torch_bmm_nd_transpose(middle_query_matrix, gathered_key[:, :, 1:-1], ndim=5) 2025-09-07T07:27:53.0492845Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 493, in torch_bmm_nd_transpose 2025-09-07T07:27:53.0493243Z return torch.bmm( 2025-09-07T07:27:53.0493336Z 2025-09-07T07:27:53.0493437Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:27:53.0493922Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 704, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564 2025-09-07T07:27:53.0494394Z last_band_product = torch.einsum( 2025-09-07T07:27:53.0494523Z 2025-09-07T07:27:53.0494620Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:27:53.0495135Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 711, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564 2025-09-07T07:27:53.0495697Z first_band_product += (1.0 - to_mask[:, :, :, :to_block_size].unsqueeze(3)) * attn_mask_penalty 2025-09-07T07:27:53.0495903Z 2025-09-07T07:27:53.0496000Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:27:53.0496500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 710, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564 2025-09-07T07:27:53.0497011Z inner_band_product += (1.0 - band_mask) * attn_mask_penalty 2025-09-07T07:27:53.0497194Z 2025-09-07T07:27:53.0497291Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:27:53.0497780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 713, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564 2025-09-07T07:27:53.0498293Z rand_band_product += (1.0 - rand_mask[:, :, 1:-1]) * attn_mask_penalty 2025-09-07T07:27:53.0498463Z 2025-09-07T07:27:53.0498557Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:27:53.0499048Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 712, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564 2025-09-07T07:27:53.0499586Z last_band_product += (1.0 - to_mask[:, :, :, -to_block_size:].unsqueeze(3)) * attn_mask_penalty 2025-09-07T07:27:53.0499781Z 2025-09-07T07:27:53.0499880Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:27:53.0500377Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 716, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564 2025-09-07T07:27:53.0500856Z band_product = torch.cat( 2025-09-07T07:27:53.0500970Z 2025-09-07T07:27:53.0501065Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:27:53.0501553Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 679, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564 2025-09-07T07:27:53.0502037Z exp_blocked_value_matrix = torch.cat( 2025-09-07T07:27:53.0502166Z 2025-09-07T07:27:53.0502259Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:27:53.0502736Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 727, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564 2025-09-07T07:27:53.0503207Z context_layer = self.torch_bmm_nd( 2025-09-07T07:27:53.0503585Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 485, in torch_bmm_nd 2025-09-07T07:27:53.0504069Z return torch.bmm(inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:])).view( 2025-09-07T07:27:53.0504294Z 2025-09-07T07:27:53.0504389Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:27:53.0504882Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 734, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564 2025-09-07T07:27:53.0505374Z context_layer += self.torch_bmm_nd( 2025-09-07T07:27:53.0505756Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 485, in torch_bmm_nd 2025-09-07T07:27:53.0506243Z return torch.bmm(inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:])).view( 2025-09-07T07:27:53.0506468Z 2025-09-07T07:27:53.0506566Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:27:53.0507062Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 740, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564 2025-09-07T07:27:53.0507552Z context_layer += torch.einsum( 2025-09-07T07:27:53.0507673Z 2025-09-07T07:27:53.0507768Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:27:53.0508263Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 743, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564 2025-09-07T07:27:53.0508732Z context_layer += torch.einsum( 2025-09-07T07:27:53.0508850Z 2025-09-07T07:27:53.0508952Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:27:53.0509465Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 754, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564 2025-09-07T07:27:53.0509933Z second_last_key_mat = torch.cat( 2025-09-07T07:27:53.0510066Z 2025-09-07T07:27:53.0510163Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:27:53.0510660Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 776, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564 2025-09-07T07:27:53.0511273Z second_last_product = self.torch_bmm_nd_transpose(blocked_query_matrix[:, :, -2], second_last_key_mat, ndim=4) 2025-09-07T07:27:53.0511881Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 493, in torch_bmm_nd_transpose 2025-09-07T07:27:53.0512309Z return torch.bmm( 2025-09-07T07:27:53.0512405Z 2025-09-07T07:27:53.0512502Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:27:53.0513003Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 777, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564 2025-09-07T07:27:53.0513504Z second_last_seq_pad = torch.cat( 2025-09-07T07:27:53.0513631Z 2025-09-07T07:27:53.0513719Z cudagraph partition due to non gpu ops 2025-09-07T07:27:53.0513936Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:27:53.0514588Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 785, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564 2025-09-07T07:27:53.0515073Z second_last_rand_pad = torch.cat( 2025-09-07T07:27:53.0515208Z 2025-09-07T07:27:53.0515307Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:27:53.0515812Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 764, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564 2025-09-07T07:27:53.0516302Z second_last_value_mat = torch.cat( 2025-09-07T07:27:53.0516427Z 2025-09-07T07:27:53.0516527Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:27:53.0517040Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 799, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564 2025-09-07T07:27:53.0517657Z second_last_context_layer = self.torch_bmm_nd(second_last_attn_weights, second_last_value_mat, ndim=4) 2025-09-07T07:27:53.0518219Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 485, in torch_bmm_nd 2025-09-07T07:27:53.0518714Z return torch.bmm(inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:])).view( 2025-09-07T07:27:53.0518936Z 2025-09-07T07:27:53.0519035Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:27:53.0519561Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 807, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564 2025-09-07T07:27:53.0520145Z last_product = self.torch_bmm_nd_transpose(blocked_query_matrix[:, :, -1], key_layer, ndim=4) 2025-09-07T07:27:53.0520690Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 493, in torch_bmm_nd_transpose 2025-09-07T07:27:53.0521103Z return torch.bmm( 2025-09-07T07:27:53.0521202Z 2025-09-07T07:27:53.0521306Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:27:53.0521808Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 813, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564 2025-09-07T07:27:53.0522367Z last_context_layer = self.torch_bmm_nd(last_attn_weights, value_layer, ndim=4) 2025-09-07T07:27:53.0522863Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 485, in torch_bmm_nd 2025-09-07T07:27:53.0523359Z return torch.bmm(inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:])).view( 2025-09-07T07:27:53.0523582Z 2025-09-07T07:27:53.0523668Z cudagraph partition due to non gpu ops 2025-09-07T07:27:53.0523874Z cudagraph partition due to non gpu ops 2025-09-07T07:27:53.0524106Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:27:53.0524634Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 743, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564 2025-09-07T07:27:53.0525136Z context_layer += torch.einsum( 2025-09-07T07:27:53.0525313Z 2025-09-07T07:27:53.0525404Z cudagraph partition due to non gpu ops 2025-09-07T07:27:53.0525624Z cudagraph partition due to non gpu ops 2025-09-07T07:27:53.0525873Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:27:53.0526415Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 817, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564 2025-09-07T07:27:53.0526935Z context_layer = torch.cat( 2025-09-07T07:27:53.0527057Z 2025-09-07T07:27:53.0527159Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:27:53.0527663Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 821, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564 2025-09-07T07:27:53.0528226Z context_layer = context_layer.view((bsz, n_heads, from_seq_len, -1)) * from_mask 2025-09-07T07:27:53.0528440Z 2025-09-07T07:27:58.6185744Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:27:58.6190865Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 478, in torch_dynamo_resume_in_forward_at_455 2025-09-07T07:27:58.6192475Z context_layer = context_layer.contiguous().view(batch_size, from_seq_length, -1) 2025-09-07T07:27:58.6192720Z 2025-09-07T07:27:59.3873604Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:27:59.3878351Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1385, in torch_dynamo_resume_in_forward_at_1381 2025-09-07T07:27:59.3882352Z attention_output = self.output(self_outputs[0], hidden_states) 2025-09-07T07:27:59.3887820Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1295, in forward 2025-09-07T07:27:59.3889656Z hidden_states = self.dense(hidden_states) 2025-09-07T07:27:59.3889954Z 2025-09-07T07:28:00.3478705Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:28:00.3481496Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1505, in torch_dynamo_resume_in_forward_at_1468 2025-09-07T07:28:00.3482048Z layer_output = apply_chunking_to_forward( 2025-09-07T07:28:00.3482480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-09-07T07:28:00.3482883Z return forward_fn(*input_tensors) 2025-09-07T07:28:00.3483641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1512, in feed_forward_chunk 2025-09-07T07:28:00.3484123Z intermediate_output = self.intermediate(attention_output) 2025-09-07T07:28:00.3484587Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1401, in forward 2025-09-07T07:28:00.3485005Z hidden_states = self.dense(hidden_states) 2025-09-07T07:28:00.3485283Z 2025-09-07T07:28:00.3485409Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:28:00.3485972Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1505, in torch_dynamo_resume_in_forward_at_1468 2025-09-07T07:28:00.3486461Z layer_output = apply_chunking_to_forward( 2025-09-07T07:28:00.3486863Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-09-07T07:28:00.3487259Z return forward_fn(*input_tensors) 2025-09-07T07:28:00.3487660Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1512, in feed_forward_chunk 2025-09-07T07:28:00.3488120Z intermediate_output = self.intermediate(attention_output) 2025-09-07T07:28:00.3488568Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1402, in forward 2025-09-07T07:28:00.3489014Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-09-07T07:28:00.3489414Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward 2025-09-07T07:28:00.3489878Z return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0)))) 2025-09-07T07:28:00.3490116Z 2025-09-07T07:28:00.3490266Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:28:00.3490751Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1505, in torch_dynamo_resume_in_forward_at_1468 2025-09-07T07:28:00.3491206Z layer_output = apply_chunking_to_forward( 2025-09-07T07:28:00.3491600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-09-07T07:28:00.3491982Z return forward_fn(*input_tensors) 2025-09-07T07:28:00.3492394Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1513, in feed_forward_chunk 2025-09-07T07:28:00.3492859Z layer_output = self.output(intermediate_output, attention_output) 2025-09-07T07:28:00.3493302Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1415, in forward 2025-09-07T07:28:00.3493734Z hidden_states = self.dense(hidden_states) 2025-09-07T07:28:00.3493868Z 2025-09-07T07:28:01.7670459Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:28:01.7672318Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 440, in forward 2025-09-07T07:28:01.7677505Z self.query(hidden_states) 2025-09-07T07:28:01.7680607Z 2025-09-07T07:28:01.7680885Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:28:01.7681375Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 445, in forward 2025-09-07T07:28:01.7681773Z self.key(hidden_states) 2025-09-07T07:28:01.7681893Z 2025-09-07T07:28:01.7681999Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:28:01.7682465Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 450, in forward 2025-09-07T07:28:01.7682859Z self.value(hidden_states) 2025-09-07T07:28:01.7682972Z 2025-09-07T07:28:09.7317121Z W0907 07:28:09.730421 22352 site-packages/torch/_dynamo/convert_frame.py:1358] [10/8] torch._dynamo hit config.recompile_limit (8) 2025-09-07T07:28:09.7318007Z W0907 07:28:09.730421 22352 site-packages/torch/_dynamo/convert_frame.py:1358] [10/8] function: 'forward' (/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py:417) 2025-09-07T07:28:09.7320079Z W0907 07:28:09.730421 22352 site-packages/torch/_dynamo/convert_frame.py:1358] [10/8] last reason: 10/7: self.seed == 7 # context_layer, attention_probs = self.bigbird_block_sparse_attention( # transformers/models/big_bird/modeling_big_bird.py:455 in forward (HINT: torch.compile considers integer attributes of the nn.Module to be static. If you are observing recompilation, you might want to make this integer dynamic using torch._dynamo.config.allow_unspec_int_on_nn_module = True, or convert this integer into a tensor.) 2025-09-07T07:28:09.7321617Z W0907 07:28:09.730421 22352 site-packages/torch/_dynamo/convert_frame.py:1358] [10/8] To log all recompilation reasons, use TORCH_LOGS="recompiles". 2025-09-07T07:28:09.7322447Z W0907 07:28:09.730421 22352 site-packages/torch/_dynamo/convert_frame.py:1358] [10/8] To diagnose recompilation issues, see https://pytorch.org/docs/main/torch.compiler_troubleshooting.html 2025-09-07T07:28:10.1553724Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:28:10.1554345Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 2010, in torch_dynamo_resume_in_forward_at_1991 2025-09-07T07:28:10.1555030Z pooler_output = self.activation(self.pooler(sequence_output[:, 0, :])) if (self.pooler is not None) else None 2025-09-07T07:28:10.1555323Z 2025-09-07T07:28:10.1555447Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:28:10.1556299Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 2010, in torch_dynamo_resume_in_forward_at_1991 2025-09-07T07:28:10.1556960Z pooler_output = self.activation(self.pooler(sequence_output[:, 0, :])) if (self.pooler is not None) else None 2025-09-07T07:28:10.1557254Z 2025-09-07T07:28:10.4436495Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:28:10.4441419Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 2318, in torch_dynamo_resume_in_forward_at_2303 2025-09-07T07:28:10.4441971Z prediction_scores = self.cls(sequence_output) 2025-09-07T07:28:10.4442395Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1682, in forward 2025-09-07T07:28:10.4442851Z prediction_scores = self.predictions(sequence_output) 2025-09-07T07:28:10.4443275Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1670, in forward 2025-09-07T07:28:10.4443681Z hidden_states = self.transform(hidden_states) 2025-09-07T07:28:10.4444091Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1645, in forward 2025-09-07T07:28:10.4444741Z hidden_states = self.dense(hidden_states) 2025-09-07T07:28:10.4444885Z 2025-09-07T07:28:10.4445004Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:28:10.4445680Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 2318, in torch_dynamo_resume_in_forward_at_2303 2025-09-07T07:28:10.4446207Z prediction_scores = self.cls(sequence_output) 2025-09-07T07:28:10.4446665Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1682, in forward 2025-09-07T07:28:10.4447142Z prediction_scores = self.predictions(sequence_output) 2025-09-07T07:28:10.4447561Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1670, in forward 2025-09-07T07:28:10.4448016Z hidden_states = self.transform(hidden_states) 2025-09-07T07:28:10.4448416Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1645, in forward 2025-09-07T07:28:10.4448811Z hidden_states = self.dense(hidden_states) 2025-09-07T07:28:10.4448948Z 2025-09-07T07:28:10.4449063Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:28:10.4449536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 2318, in torch_dynamo_resume_in_forward_at_2303 2025-09-07T07:28:10.4449993Z prediction_scores = self.cls(sequence_output) 2025-09-07T07:28:10.4450458Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1682, in forward 2025-09-07T07:28:10.4450886Z prediction_scores = self.predictions(sequence_output) 2025-09-07T07:28:10.4451309Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1671, in forward 2025-09-07T07:28:10.4451714Z hidden_states = self.decoder(hidden_states) 2025-09-07T07:28:10.4451855Z 2025-09-07T07:28:12.6414196Z Compilation time (from dynamo_timed): 41.956473044 2025-09-07T07:28:12.6839162Z pass 2025-09-07T07:28:12.6839889Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:28:12.6841464Z TIMING: gc:0.02447 entire_frame_compile:41.95647 _recursive_pre_grad_passes:0.019 _recursive_joint_graph_passes:0.27832 _recursive_post_grad_passes:0.08533 async_compile.wait:5.45825 code_gen:11.50587 inductor_compile:12.91197 backend_compile:16.38066 total_wall_time:41.95647 2025-09-07T07:28:12.6842819Z STATS: call_* op count: 378 | FakeTensorMode.__torch_dispatch__:9724 | ProxyTorchDispatchMode.__torch_dispatch__:2603 | FakeTensor.__torch_dispatch__:2636 | attempt fast:48 | slow both tensors nontrivially broadcast:4 | fast is_contiguous:44 2025-09-07T07:28:12.6843576Z Dynamo produced 29 graphs covering 378 ops with 25 graph breaks (2 unique) 2025-09-07T07:28:15.0597888Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T07:28:15.0598819Z import pynvml # type: ignore[import] 2025-09-07T07:28:17.0002962Z 2025-09-07T07:28:17.6340554Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:28:17.6345278Z 2025-09-07T07:28:17.6385470Z config.json: 0% 0.00/483 [00:00bcxy", (query, key)) # multiply 2025-09-07T07:32:46.5934573Z 2025-09-07T07:32:46.5934691Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.5935244Z 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 2025-09-07T07:32:46.5935820Z layer_outputs = layer_module( 2025-09-07T07:32:46.5936175Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.5936535Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.5936952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.5937368Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.5937782Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.5938206Z self_outputs = self.self( 2025-09-07T07:32:46.5938604Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 510, in forward 2025-09-07T07:32:46.5939091Z key_vectors = self.key(hidden_states) 2025-09-07T07:32:46.5939239Z 2025-09-07T07:32:46.5939345Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.5939850Z 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 2025-09-07T07:32:46.5940329Z layer_outputs = layer_module( 2025-09-07T07:32:46.5940669Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.5941027Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.5941437Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.5941851Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.5942263Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.5942669Z self_outputs = self.self( 2025-09-07T07:32:46.5943063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-09-07T07:32:46.5943502Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-09-07T07:32:46.5944020Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 790, in _sliding_chunks_query_key_matmul 2025-09-07T07:32:46.5944597Z key = self._chunk(key, window_overlap, getattr(self.config, "onnx_export", False)) 2025-09-07T07:32:46.5945084Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 719, in _chunk 2025-09-07T07:32:46.5945490Z hidden_states = hidden_states.view( 2025-09-07T07:32:46.5945629Z 2025-09-07T07:32:46.5945733Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.5946238Z 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 2025-09-07T07:32:46.5946739Z layer_outputs = layer_module( 2025-09-07T07:32:46.5947083Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.5947437Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.5947847Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.5948260Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.5948704Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.5949122Z self_outputs = self.self( 2025-09-07T07:32:46.5949498Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-09-07T07:32:46.5949929Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-09-07T07:32:46.5950409Z 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 2025-09-07T07:32:46.5950974Z diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key)) # multiply 2025-09-07T07:32:46.5951208Z 2025-09-07T07:32:46.5951297Z cudagraph partition due to non gpu ops 2025-09-07T07:32:46.5951503Z cudagraph partition due to non gpu ops 2025-09-07T07:32:46.5951709Z cudagraph partition due to non gpu ops 2025-09-07T07:32:46.5951911Z cudagraph partition due to non gpu ops 2025-09-07T07:32:46.5952137Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.5952627Z 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 2025-09-07T07:32:46.5953116Z layer_outputs = layer_module( 2025-09-07T07:32:46.5953458Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.5953811Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.5954220Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.5954624Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.5955035Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.5955443Z self_outputs = self.self( 2025-09-07T07:32:46.5955840Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 536, in forward 2025-09-07T07:32:46.5956299Z diagonal_mask = self._sliding_chunks_query_key_matmul( 2025-09-07T07:32:46.5956808Z 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 2025-09-07T07:32:46.5957336Z self._mask_invalid_locations(diagonal_attention_scores, window_overlap) 2025-09-07T07:32:46.5957847Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 762, in _mask_invalid_locations 2025-09-07T07:32:46.5958397Z input_tensor[:, :affected_seq_len, :, : affected_seq_len + 1] = torch.full_like( 2025-09-07T07:32:46.5958605Z 2025-09-07T07:32:46.5958695Z cudagraph partition due to non gpu ops 2025-09-07T07:32:46.5958933Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.5959449Z 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 2025-09-07T07:32:46.5959935Z layer_outputs = layer_module( 2025-09-07T07:32:46.5960306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.5960710Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.5961148Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.5961588Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.5962021Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.5962451Z self_outputs = self.self( 2025-09-07T07:32:46.5962863Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward 2025-09-07T07:32:46.5963331Z attn_scores += diagonal_mask 2025-09-07T07:32:46.5963471Z 2025-09-07T07:32:46.5963580Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.5964117Z 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 2025-09-07T07:32:46.5964629Z layer_outputs = layer_module( 2025-09-07T07:32:46.5964988Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.5965460Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.5965958Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.5966423Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.5966864Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.5967292Z self_outputs = self.self( 2025-09-07T07:32:46.5967738Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward 2025-09-07T07:32:46.5968184Z attn_probs = nn.functional.softmax( 2025-09-07T07:32:46.5968324Z 2025-09-07T07:32:46.5968440Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.5968978Z 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 2025-09-07T07:32:46.5969477Z layer_outputs = layer_module( 2025-09-07T07:32:46.5969841Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.5970220Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.5970657Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.5971084Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.5971519Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.5971952Z self_outputs = self.self( 2025-09-07T07:32:46.5972369Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 511, in forward 2025-09-07T07:32:46.5972841Z value_vectors = self.value(hidden_states) 2025-09-07T07:32:46.5972987Z 2025-09-07T07:32:46.5973101Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.5973639Z 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 2025-09-07T07:32:46.5974144Z layer_outputs = layer_module( 2025-09-07T07:32:46.5974521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.5974880Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.5975287Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.5975743Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.5976153Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.5976566Z self_outputs = self.self( 2025-09-07T07:32:46.5976961Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-09-07T07:32:46.5977419Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-09-07T07:32:46.5977947Z 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 2025-09-07T07:32:46.5978511Z padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1) 2025-09-07T07:32:46.5978929Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T07:32:46.5979277Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T07:32:46.5979425Z 2025-09-07T07:32:46.5979526Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.5980022Z 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 2025-09-07T07:32:46.5980489Z layer_outputs = layer_module( 2025-09-07T07:32:46.5980826Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.5981176Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.5981579Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.5981993Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.5982424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.5982830Z self_outputs = self.self( 2025-09-07T07:32:46.5983209Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-09-07T07:32:46.5983660Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-09-07T07:32:46.5984182Z 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 2025-09-07T07:32:46.5984718Z chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs) 2025-09-07T07:32:46.5985231Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize 2025-09-07T07:32:46.5985686Z chunked_hidden_states = nn.functional.pad( 2025-09-07T07:32:46.5986008Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T07:32:46.5986351Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T07:32:46.5986508Z 2025-09-07T07:32:46.5986610Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.5987144Z 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 2025-09-07T07:32:46.5987618Z layer_outputs = layer_module( 2025-09-07T07:32:46.5987972Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.5988340Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.5988742Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.5989147Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.5989544Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.5989971Z self_outputs = self.self( 2025-09-07T07:32:46.5990364Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-09-07T07:32:46.5990817Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-09-07T07:32:46.5991334Z 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 2025-09-07T07:32:46.5991881Z context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value)) 2025-09-07T07:32:46.5992096Z 2025-09-07T07:32:46.5992220Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.5992730Z 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 2025-09-07T07:32:46.5993213Z layer_outputs = layer_module( 2025-09-07T07:32:46.5993560Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.5993923Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.5994347Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.5994761Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.5995173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.5995578Z self_outputs = self.self( 2025-09-07T07:32:46.5995967Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-09-07T07:32:46.5996439Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-09-07T07:32:46.5996996Z 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 2025-09-07T07:32:46.5997569Z context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value)) 2025-09-07T07:32:46.5997776Z 2025-09-07T07:32:46.5997887Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.5998396Z 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 2025-09-07T07:32:46.5998877Z layer_outputs = layer_module( 2025-09-07T07:32:46.5999225Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.5999595Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6000038Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6000483Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6000932Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward 2025-09-07T07:32:46.6002212Z attn_output = self.output(self_outputs[0], hidden_states) 2025-09-07T07:32:46.6002699Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward 2025-09-07T07:32:46.6003165Z hidden_states = self.dense(hidden_states) 2025-09-07T07:32:46.6003312Z 2025-09-07T07:32:46.6003420Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6003964Z 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 2025-09-07T07:32:46.6004487Z layer_outputs = layer_module( 2025-09-07T07:32:46.6004851Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6005262Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6005818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6006285Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6006735Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward 2025-09-07T07:32:46.6007238Z attn_output = self.output(self_outputs[0], hidden_states) 2025-09-07T07:32:46.6007728Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward 2025-09-07T07:32:46.6008151Z hidden_states = self.dense(hidden_states) 2025-09-07T07:32:46.6008298Z 2025-09-07T07:32:46.6008403Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6008902Z 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 2025-09-07T07:32:46.6009365Z layer_outputs = layer_module( 2025-09-07T07:32:46.6009692Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6010048Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6010449Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward 2025-09-07T07:32:46.6010863Z layer_output = apply_chunking_to_forward( 2025-09-07T07:32:46.6011256Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-09-07T07:32:46.6011632Z return forward_fn(*input_tensors) 2025-09-07T07:32:46.6012058Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk 2025-09-07T07:32:46.6012519Z intermediate_output = self.intermediate(attn_output) 2025-09-07T07:32:46.6012942Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1160, in forward 2025-09-07T07:32:46.6013353Z hidden_states = self.dense(hidden_states) 2025-09-07T07:32:46.6013480Z 2025-09-07T07:32:46.6013578Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6014064Z 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 2025-09-07T07:32:46.6014707Z layer_outputs = layer_module( 2025-09-07T07:32:46.6015051Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6015407Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6015799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward 2025-09-07T07:32:46.6016203Z layer_output = apply_chunking_to_forward( 2025-09-07T07:32:46.6016643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-09-07T07:32:46.6017019Z return forward_fn(*input_tensors) 2025-09-07T07:32:46.6017408Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk 2025-09-07T07:32:46.6017834Z intermediate_output = self.intermediate(attn_output) 2025-09-07T07:32:46.6018267Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1161, in forward 2025-09-07T07:32:46.6018708Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-09-07T07:32:46.6019085Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward 2025-09-07T07:32:46.6019447Z return self.act(input) 2025-09-07T07:32:46.6019565Z 2025-09-07T07:32:46.6019665Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6020165Z 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 2025-09-07T07:32:46.6020629Z layer_outputs = layer_module( 2025-09-07T07:32:46.6020965Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6021315Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6021737Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward 2025-09-07T07:32:46.6022137Z layer_output = apply_chunking_to_forward( 2025-09-07T07:32:46.6022516Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-09-07T07:32:46.6022892Z return forward_fn(*input_tensors) 2025-09-07T07:32:46.6023278Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1219, in ff_chunk 2025-09-07T07:32:46.6023717Z layer_output = self.output(intermediate_output, attn_output) 2025-09-07T07:32:46.6024155Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1174, in forward 2025-09-07T07:32:46.6024564Z hidden_states = self.dense(hidden_states) 2025-09-07T07:32:46.6024696Z 2025-09-07T07:32:46.6024801Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6025286Z 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 2025-09-07T07:32:46.6025783Z layer_outputs = layer_module( 2025-09-07T07:32:46.6026128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6026473Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6026866Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6027261Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6027656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6028061Z self_outputs = self.self( 2025-09-07T07:32:46.6028451Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward 2025-09-07T07:32:46.6028861Z query_vectors = self.query(hidden_states) 2025-09-07T07:32:46.6028994Z 2025-09-07T07:32:46.6029125Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6029629Z 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 2025-09-07T07:32:46.6030139Z layer_outputs = layer_module( 2025-09-07T07:32:46.6030481Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6030840Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6031242Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6031653Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6032058Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6032456Z self_outputs = self.self( 2025-09-07T07:32:46.6032836Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-09-07T07:32:46.6033286Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-09-07T07:32:46.6033770Z 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 2025-09-07T07:32:46.6034335Z diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key)) # multiply 2025-09-07T07:32:46.6034573Z 2025-09-07T07:32:46.6034679Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6035187Z 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 2025-09-07T07:32:46.6035657Z layer_outputs = layer_module( 2025-09-07T07:32:46.6035992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6036342Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6036742Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6037151Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6037560Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6037976Z self_outputs = self.self( 2025-09-07T07:32:46.6038361Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 510, in forward 2025-09-07T07:32:46.6038764Z key_vectors = self.key(hidden_states) 2025-09-07T07:32:46.6038896Z 2025-09-07T07:32:46.6039417Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6039945Z 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 2025-09-07T07:32:46.6040433Z layer_outputs = layer_module( 2025-09-07T07:32:46.6040778Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6041141Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6041548Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6041967Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6042378Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6042790Z self_outputs = self.self( 2025-09-07T07:32:46.6043186Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-09-07T07:32:46.6043640Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-09-07T07:32:46.6044202Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 790, in _sliding_chunks_query_key_matmul 2025-09-07T07:32:46.6044790Z key = self._chunk(key, window_overlap, getattr(self.config, "onnx_export", False)) 2025-09-07T07:32:46.6045332Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 719, in _chunk 2025-09-07T07:32:46.6045895Z hidden_states = hidden_states.view( 2025-09-07T07:32:46.6046043Z 2025-09-07T07:32:46.6046157Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6046719Z 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 2025-09-07T07:32:46.6047218Z layer_outputs = layer_module( 2025-09-07T07:32:46.6047571Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6047959Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6048381Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6048801Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6049219Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6049636Z self_outputs = self.self( 2025-09-07T07:32:46.6050030Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-09-07T07:32:46.6050496Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-09-07T07:32:46.6050993Z 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 2025-09-07T07:32:46.6051574Z diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key)) # multiply 2025-09-07T07:32:46.6051816Z 2025-09-07T07:32:46.6051908Z cudagraph partition due to non gpu ops 2025-09-07T07:32:46.6052119Z cudagraph partition due to non gpu ops 2025-09-07T07:32:46.6052333Z cudagraph partition due to non gpu ops 2025-09-07T07:32:46.6052539Z cudagraph partition due to non gpu ops 2025-09-07T07:32:46.6052772Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6053276Z 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 2025-09-07T07:32:46.6053756Z layer_outputs = layer_module( 2025-09-07T07:32:46.6054106Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6054484Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6054899Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6055311Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6055722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6056142Z self_outputs = self.self( 2025-09-07T07:32:46.6056524Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 536, in forward 2025-09-07T07:32:46.6056964Z diagonal_mask = self._sliding_chunks_query_key_matmul( 2025-09-07T07:32:46.6057435Z 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 2025-09-07T07:32:46.6057945Z self._mask_invalid_locations(diagonal_attention_scores, window_overlap) 2025-09-07T07:32:46.6058440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 762, in _mask_invalid_locations 2025-09-07T07:32:46.6058942Z input_tensor[:, :affected_seq_len, :, : affected_seq_len + 1] = torch.full_like( 2025-09-07T07:32:46.6059156Z 2025-09-07T07:32:46.6059241Z cudagraph partition due to non gpu ops 2025-09-07T07:32:46.6059458Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6059940Z 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 2025-09-07T07:32:46.6060398Z layer_outputs = layer_module( 2025-09-07T07:32:46.6060730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6061076Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6061474Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6061900Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6062310Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6062702Z self_outputs = self.self( 2025-09-07T07:32:46.6063074Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward 2025-09-07T07:32:46.6063458Z attn_scores += diagonal_mask 2025-09-07T07:32:46.6063580Z 2025-09-07T07:32:46.6063677Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6064178Z 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 2025-09-07T07:32:46.6064644Z layer_outputs = layer_module( 2025-09-07T07:32:46.6064976Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6065332Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6065744Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6066163Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6066559Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6066950Z self_outputs = self.self( 2025-09-07T07:32:46.6067330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward 2025-09-07T07:32:46.6067742Z attn_probs = nn.functional.softmax( 2025-09-07T07:32:46.6067870Z 2025-09-07T07:32:46.6067977Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6068484Z 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 2025-09-07T07:32:46.6068943Z layer_outputs = layer_module( 2025-09-07T07:32:46.6069281Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6069633Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6070034Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6070436Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6070836Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6071225Z self_outputs = self.self( 2025-09-07T07:32:46.6071600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 511, in forward 2025-09-07T07:32:46.6071999Z value_vectors = self.value(hidden_states) 2025-09-07T07:32:46.6072128Z 2025-09-07T07:32:46.6072233Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6072706Z 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 2025-09-07T07:32:46.6073178Z layer_outputs = layer_module( 2025-09-07T07:32:46.6073502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6073846Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6074239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6074640Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6075036Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6075465Z self_outputs = self.self( 2025-09-07T07:32:46.6075839Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-09-07T07:32:46.6076277Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-09-07T07:32:46.6076793Z 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 2025-09-07T07:32:46.6077358Z padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1) 2025-09-07T07:32:46.6077795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T07:32:46.6078143Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T07:32:46.6078288Z 2025-09-07T07:32:46.6078389Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6078886Z 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 2025-09-07T07:32:46.6079355Z layer_outputs = layer_module( 2025-09-07T07:32:46.6079692Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6080047Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6080446Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6080851Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6081255Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6081656Z self_outputs = self.self( 2025-09-07T07:32:46.6082074Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-09-07T07:32:46.6082524Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-09-07T07:32:46.6083041Z 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 2025-09-07T07:32:46.6083583Z chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs) 2025-09-07T07:32:46.6084098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize 2025-09-07T07:32:46.6084560Z chunked_hidden_states = nn.functional.pad( 2025-09-07T07:32:46.6084893Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T07:32:46.6085239Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T07:32:46.6085489Z 2025-09-07T07:32:46.6085603Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6086119Z 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 2025-09-07T07:32:46.6086604Z layer_outputs = layer_module( 2025-09-07T07:32:46.6086964Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6087319Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6087726Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6088136Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6088534Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6088937Z self_outputs = self.self( 2025-09-07T07:32:46.6089321Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-09-07T07:32:46.6089779Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-09-07T07:32:46.6090282Z 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 2025-09-07T07:32:46.6090813Z context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value)) 2025-09-07T07:32:46.6091019Z 2025-09-07T07:32:46.6091120Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6091632Z 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 2025-09-07T07:32:46.6092098Z layer_outputs = layer_module( 2025-09-07T07:32:46.6092433Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6092775Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6093183Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6093575Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6093967Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6094355Z self_outputs = self.self( 2025-09-07T07:32:46.6094724Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-09-07T07:32:46.6095152Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-09-07T07:32:46.6095642Z 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 2025-09-07T07:32:46.6096180Z context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value)) 2025-09-07T07:32:46.6096378Z 2025-09-07T07:32:46.6096486Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6096965Z 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 2025-09-07T07:32:46.6097423Z layer_outputs = layer_module( 2025-09-07T07:32:46.6097753Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6098097Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6098491Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6098881Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6099278Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward 2025-09-07T07:32:46.6099708Z attn_output = self.output(self_outputs[0], hidden_states) 2025-09-07T07:32:46.6100133Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward 2025-09-07T07:32:46.6100576Z hidden_states = self.dense(hidden_states) 2025-09-07T07:32:46.6100714Z 2025-09-07T07:32:46.6100820Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6101335Z 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 2025-09-07T07:32:46.6101801Z layer_outputs = layer_module( 2025-09-07T07:32:46.6102141Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6102493Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6102892Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6103302Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6103688Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward 2025-09-07T07:32:46.6104113Z attn_output = self.output(self_outputs[0], hidden_states) 2025-09-07T07:32:46.6104528Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward 2025-09-07T07:32:46.6104928Z hidden_states = self.dense(hidden_states) 2025-09-07T07:32:46.6105064Z 2025-09-07T07:32:46.6105162Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6105669Z 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 2025-09-07T07:32:46.6106139Z layer_outputs = layer_module( 2025-09-07T07:32:46.6106468Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6106822Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6107237Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward 2025-09-07T07:32:46.6107641Z layer_output = apply_chunking_to_forward( 2025-09-07T07:32:46.6108023Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-09-07T07:32:46.6108396Z return forward_fn(*input_tensors) 2025-09-07T07:32:46.6108791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk 2025-09-07T07:32:46.6109220Z intermediate_output = self.intermediate(attn_output) 2025-09-07T07:32:46.6109659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1160, in forward 2025-09-07T07:32:46.6110061Z hidden_states = self.dense(hidden_states) 2025-09-07T07:32:46.6110189Z 2025-09-07T07:32:46.6110287Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6110769Z 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 2025-09-07T07:32:46.6111222Z layer_outputs = layer_module( 2025-09-07T07:32:46.6111546Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6111930Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6112312Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward 2025-09-07T07:32:46.6112717Z layer_output = apply_chunking_to_forward( 2025-09-07T07:32:46.6113094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-09-07T07:32:46.6113475Z return forward_fn(*input_tensors) 2025-09-07T07:32:46.6113867Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk 2025-09-07T07:32:46.6114325Z intermediate_output = self.intermediate(attn_output) 2025-09-07T07:32:46.6114889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1161, in forward 2025-09-07T07:32:46.6115341Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-09-07T07:32:46.6115733Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward 2025-09-07T07:32:46.6116061Z return self.act(input) 2025-09-07T07:32:46.6116181Z 2025-09-07T07:32:46.6116286Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6116803Z 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 2025-09-07T07:32:46.6117339Z layer_outputs = layer_module( 2025-09-07T07:32:46.6117689Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6118044Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6118459Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward 2025-09-07T07:32:46.6118887Z layer_output = apply_chunking_to_forward( 2025-09-07T07:32:46.6119311Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-09-07T07:32:46.6119708Z return forward_fn(*input_tensors) 2025-09-07T07:32:46.6120121Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1219, in ff_chunk 2025-09-07T07:32:46.6120589Z layer_output = self.output(intermediate_output, attn_output) 2025-09-07T07:32:46.6121049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1174, in forward 2025-09-07T07:32:46.6121473Z hidden_states = self.dense(hidden_states) 2025-09-07T07:32:46.6121609Z 2025-09-07T07:32:46.6121722Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6122262Z 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 2025-09-07T07:32:46.6122784Z layer_outputs = layer_module( 2025-09-07T07:32:46.6123150Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6123569Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6124019Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6124464Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6124914Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6125355Z self_outputs = self.self( 2025-09-07T07:32:46.6125855Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward 2025-09-07T07:32:46.6126309Z query_vectors = self.query(hidden_states) 2025-09-07T07:32:46.6126469Z 2025-09-07T07:32:46.6126575Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6127095Z 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 2025-09-07T07:32:46.6127585Z layer_outputs = layer_module( 2025-09-07T07:32:46.6127939Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6128301Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6128753Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6129175Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6129588Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6129997Z self_outputs = self.self( 2025-09-07T07:32:46.6130388Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-09-07T07:32:46.6130829Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-09-07T07:32:46.6131325Z 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 2025-09-07T07:32:46.6131894Z diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key)) # multiply 2025-09-07T07:32:46.6132123Z 2025-09-07T07:32:46.6132227Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6132705Z 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 2025-09-07T07:32:46.6133159Z layer_outputs = layer_module( 2025-09-07T07:32:46.6133489Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6133867Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6134268Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6134657Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6135054Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6135446Z self_outputs = self.self( 2025-09-07T07:32:46.6135822Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 510, in forward 2025-09-07T07:32:46.6136218Z key_vectors = self.key(hidden_states) 2025-09-07T07:32:46.6136346Z 2025-09-07T07:32:46.6136443Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6136930Z 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 2025-09-07T07:32:46.6137388Z layer_outputs = layer_module( 2025-09-07T07:32:46.6137738Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6138078Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6138473Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6138875Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6139274Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6139669Z self_outputs = self.self( 2025-09-07T07:32:46.6140045Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-09-07T07:32:46.6140480Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-09-07T07:32:46.6140951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 790, in _sliding_chunks_query_key_matmul 2025-09-07T07:32:46.6141479Z key = self._chunk(key, window_overlap, getattr(self.config, "onnx_export", False)) 2025-09-07T07:32:46.6141951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 719, in _chunk 2025-09-07T07:32:46.6142355Z hidden_states = hidden_states.view( 2025-09-07T07:32:46.6142486Z 2025-09-07T07:32:46.6142585Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6143065Z 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 2025-09-07T07:32:46.6143517Z layer_outputs = layer_module( 2025-09-07T07:32:46.6143845Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6144176Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6144573Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6144987Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6145374Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6145762Z self_outputs = self.self( 2025-09-07T07:32:46.6146129Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-09-07T07:32:46.6146547Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-09-07T07:32:46.6147025Z 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 2025-09-07T07:32:46.6147607Z diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key)) # multiply 2025-09-07T07:32:46.6147851Z 2025-09-07T07:32:46.6147939Z cudagraph partition due to non gpu ops 2025-09-07T07:32:46.6148139Z cudagraph partition due to non gpu ops 2025-09-07T07:32:46.6148341Z cudagraph partition due to non gpu ops 2025-09-07T07:32:46.6148540Z cudagraph partition due to non gpu ops 2025-09-07T07:32:46.6148763Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6149250Z 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 2025-09-07T07:32:46.6149717Z layer_outputs = layer_module( 2025-09-07T07:32:46.6150050Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6150403Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6150808Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6151202Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6151627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6152027Z self_outputs = self.self( 2025-09-07T07:32:46.6152411Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 536, in forward 2025-09-07T07:32:46.6152844Z diagonal_mask = self._sliding_chunks_query_key_matmul( 2025-09-07T07:32:46.6153329Z 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 2025-09-07T07:32:46.6153852Z self._mask_invalid_locations(diagonal_attention_scores, window_overlap) 2025-09-07T07:32:46.6154361Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 762, in _mask_invalid_locations 2025-09-07T07:32:46.6154873Z input_tensor[:, :affected_seq_len, :, : affected_seq_len + 1] = torch.full_like( 2025-09-07T07:32:46.6155079Z 2025-09-07T07:32:46.6155169Z cudagraph partition due to non gpu ops 2025-09-07T07:32:46.6155400Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6155910Z 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 2025-09-07T07:32:46.6156413Z layer_outputs = layer_module( 2025-09-07T07:32:46.6156760Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6157113Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6157519Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6157944Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6158355Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6158784Z self_outputs = self.self( 2025-09-07T07:32:46.6159171Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward 2025-09-07T07:32:46.6159583Z attn_scores += diagonal_mask 2025-09-07T07:32:46.6159712Z 2025-09-07T07:32:46.6159815Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6160320Z 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 2025-09-07T07:32:46.6160797Z layer_outputs = layer_module( 2025-09-07T07:32:46.6161154Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6161521Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6161939Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6162358Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6162773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6163176Z self_outputs = self.self( 2025-09-07T07:32:46.6163570Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward 2025-09-07T07:32:46.6163986Z attn_probs = nn.functional.softmax( 2025-09-07T07:32:46.6164118Z 2025-09-07T07:32:46.6164229Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6164765Z 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 2025-09-07T07:32:46.6165266Z layer_outputs = layer_module( 2025-09-07T07:32:46.6165738Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6166130Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6166568Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6166999Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6167448Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6167857Z self_outputs = self.self( 2025-09-07T07:32:46.6168251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 511, in forward 2025-09-07T07:32:46.6168676Z value_vectors = self.value(hidden_states) 2025-09-07T07:32:46.6168814Z 2025-09-07T07:32:46.6168918Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6169429Z 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 2025-09-07T07:32:46.6169911Z layer_outputs = layer_module( 2025-09-07T07:32:46.6170257Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6170643Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6171049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6171464Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6171875Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6172286Z self_outputs = self.self( 2025-09-07T07:32:46.6172682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-09-07T07:32:46.6173155Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-09-07T07:32:46.6173681Z 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 2025-09-07T07:32:46.6174264Z padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1) 2025-09-07T07:32:46.6174689Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T07:32:46.6175042Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T07:32:46.6175197Z 2025-09-07T07:32:46.6175300Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6175840Z 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 2025-09-07T07:32:46.6176309Z layer_outputs = layer_module( 2025-09-07T07:32:46.6176640Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6176993Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6177383Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6177784Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6178189Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6178575Z self_outputs = self.self( 2025-09-07T07:32:46.6178940Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-09-07T07:32:46.6179367Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-09-07T07:32:46.6179876Z 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 2025-09-07T07:32:46.6180395Z chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs) 2025-09-07T07:32:46.6180872Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize 2025-09-07T07:32:46.6181312Z chunked_hidden_states = nn.functional.pad( 2025-09-07T07:32:46.6181639Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T07:32:46.6181977Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T07:32:46.6182120Z 2025-09-07T07:32:46.6182231Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6182724Z 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 2025-09-07T07:32:46.6183178Z layer_outputs = layer_module( 2025-09-07T07:32:46.6183516Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6183864Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6184273Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6184665Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6185047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6185435Z self_outputs = self.self( 2025-09-07T07:32:46.6185804Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-09-07T07:32:46.6186229Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-09-07T07:32:46.6186716Z 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 2025-09-07T07:32:46.6187267Z context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value)) 2025-09-07T07:32:46.6187469Z 2025-09-07T07:32:46.6187567Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6188048Z 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 2025-09-07T07:32:46.6188500Z layer_outputs = layer_module( 2025-09-07T07:32:46.6188826Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6189181Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6189586Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6189969Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6190361Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6190747Z self_outputs = self.self( 2025-09-07T07:32:46.6191115Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-09-07T07:32:46.6191542Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-09-07T07:32:46.6192027Z 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 2025-09-07T07:32:46.6192546Z context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value)) 2025-09-07T07:32:46.6192738Z 2025-09-07T07:32:46.6192843Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6193334Z 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 2025-09-07T07:32:46.6193790Z layer_outputs = layer_module( 2025-09-07T07:32:46.6194118Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6194465Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6194852Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6195248Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6195643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward 2025-09-07T07:32:46.6196070Z attn_output = self.output(self_outputs[0], hidden_states) 2025-09-07T07:32:46.6196494Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward 2025-09-07T07:32:46.6196890Z hidden_states = self.dense(hidden_states) 2025-09-07T07:32:46.6197027Z 2025-09-07T07:32:46.6197125Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6197608Z 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 2025-09-07T07:32:46.6198082Z layer_outputs = layer_module( 2025-09-07T07:32:46.6198406Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6198741Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6199131Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6199523Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6199915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward 2025-09-07T07:32:46.6200366Z attn_output = self.output(self_outputs[0], hidden_states) 2025-09-07T07:32:46.6200792Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward 2025-09-07T07:32:46.6201205Z hidden_states = self.dense(hidden_states) 2025-09-07T07:32:46.6201345Z 2025-09-07T07:32:46.6201445Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6201947Z 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 2025-09-07T07:32:46.6202405Z layer_outputs = layer_module( 2025-09-07T07:32:46.6202738Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6203084Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6203473Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward 2025-09-07T07:32:46.6203895Z layer_output = apply_chunking_to_forward( 2025-09-07T07:32:46.6204294Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-09-07T07:32:46.6204684Z return forward_fn(*input_tensors) 2025-09-07T07:32:46.6205101Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk 2025-09-07T07:32:46.6205620Z intermediate_output = self.intermediate(attn_output) 2025-09-07T07:32:46.6206053Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1160, in forward 2025-09-07T07:32:46.6206467Z hidden_states = self.dense(hidden_states) 2025-09-07T07:32:46.6206601Z 2025-09-07T07:32:46.6206726Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6207233Z 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 2025-09-07T07:32:46.6207705Z layer_outputs = layer_module( 2025-09-07T07:32:46.6208043Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6208389Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6208788Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward 2025-09-07T07:32:46.6209200Z layer_output = apply_chunking_to_forward( 2025-09-07T07:32:46.6209588Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-09-07T07:32:46.6209973Z return forward_fn(*input_tensors) 2025-09-07T07:32:46.6210370Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk 2025-09-07T07:32:46.6210812Z intermediate_output = self.intermediate(attn_output) 2025-09-07T07:32:46.6211243Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1161, in forward 2025-09-07T07:32:46.6211700Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-09-07T07:32:46.6212072Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward 2025-09-07T07:32:46.6212401Z return self.act(input) 2025-09-07T07:32:46.6212520Z 2025-09-07T07:32:46.6212620Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6213115Z 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 2025-09-07T07:32:46.6213584Z layer_outputs = layer_module( 2025-09-07T07:32:46.6213940Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6214284Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6214866Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward 2025-09-07T07:32:46.6215286Z layer_output = apply_chunking_to_forward( 2025-09-07T07:32:46.6215677Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-09-07T07:32:46.6216056Z return forward_fn(*input_tensors) 2025-09-07T07:32:46.6216501Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1219, in ff_chunk 2025-09-07T07:32:46.6216952Z layer_output = self.output(intermediate_output, attn_output) 2025-09-07T07:32:46.6217419Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1174, in forward 2025-09-07T07:32:46.6217831Z hidden_states = self.dense(hidden_states) 2025-09-07T07:32:46.6217963Z 2025-09-07T07:32:46.6218065Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6218562Z 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 2025-09-07T07:32:46.6219026Z layer_outputs = layer_module( 2025-09-07T07:32:46.6219363Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6219717Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6220110Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6220516Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6220942Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6221342Z self_outputs = self.self( 2025-09-07T07:32:46.6221736Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward 2025-09-07T07:32:46.6222128Z query_vectors = self.query(hidden_states) 2025-09-07T07:32:46.6222266Z 2025-09-07T07:32:46.6222363Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6222852Z 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 2025-09-07T07:32:46.6223306Z layer_outputs = layer_module( 2025-09-07T07:32:46.6223630Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6223966Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6224355Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6224749Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6225171Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6225569Z self_outputs = self.self( 2025-09-07T07:32:46.6225960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-09-07T07:32:46.6226379Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-09-07T07:32:46.6226857Z 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 2025-09-07T07:32:46.6227417Z diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key)) # multiply 2025-09-07T07:32:46.6227675Z 2025-09-07T07:32:46.6227779Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6228252Z 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 2025-09-07T07:32:46.6228704Z layer_outputs = layer_module( 2025-09-07T07:32:46.6229029Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6229368Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6229755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6230166Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6230561Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6230948Z self_outputs = self.self( 2025-09-07T07:32:46.6231325Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 510, in forward 2025-09-07T07:32:46.6231710Z key_vectors = self.key(hidden_states) 2025-09-07T07:32:46.6231855Z 2025-09-07T07:32:46.6231953Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6232432Z 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 2025-09-07T07:32:46.6232884Z layer_outputs = layer_module( 2025-09-07T07:32:46.6233207Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6233546Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6233955Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6234347Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6234734Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6235123Z self_outputs = self.self( 2025-09-07T07:32:46.6235488Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-09-07T07:32:46.6235908Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-09-07T07:32:46.6236372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 790, in _sliding_chunks_query_key_matmul 2025-09-07T07:32:46.6236895Z key = self._chunk(key, window_overlap, getattr(self.config, "onnx_export", False)) 2025-09-07T07:32:46.6237357Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 719, in _chunk 2025-09-07T07:32:46.6237736Z hidden_states = hidden_states.view( 2025-09-07T07:32:46.6237870Z 2025-09-07T07:32:46.6237968Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6238446Z 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 2025-09-07T07:32:46.6238933Z layer_outputs = layer_module( 2025-09-07T07:32:46.6239259Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6239590Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6239979Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6240368Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6240768Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6241178Z self_outputs = self.self( 2025-09-07T07:32:46.6241560Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-09-07T07:32:46.6241991Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-09-07T07:32:46.6242459Z 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 2025-09-07T07:32:46.6243006Z diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key)) # multiply 2025-09-07T07:32:46.6243234Z 2025-09-07T07:32:46.6243320Z cudagraph partition due to non gpu ops 2025-09-07T07:32:46.6243544Z cudagraph partition due to non gpu ops 2025-09-07T07:32:46.6243752Z cudagraph partition due to non gpu ops 2025-09-07T07:32:46.6243958Z cudagraph partition due to non gpu ops 2025-09-07T07:32:46.6244193Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6244704Z 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 2025-09-07T07:32:46.6245185Z layer_outputs = layer_module( 2025-09-07T07:32:46.6245590Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6245965Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6246365Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6246777Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6247173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6247565Z self_outputs = self.self( 2025-09-07T07:32:46.6247968Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 536, in forward 2025-09-07T07:32:46.6248396Z diagonal_mask = self._sliding_chunks_query_key_matmul( 2025-09-07T07:32:46.6248866Z 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 2025-09-07T07:32:46.6249365Z self._mask_invalid_locations(diagonal_attention_scores, window_overlap) 2025-09-07T07:32:46.6249856Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 762, in _mask_invalid_locations 2025-09-07T07:32:46.6250353Z input_tensor[:, :affected_seq_len, :, : affected_seq_len + 1] = torch.full_like( 2025-09-07T07:32:46.6250542Z 2025-09-07T07:32:46.6250617Z cudagraph partition due to non gpu ops 2025-09-07T07:32:46.6250835Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6251323Z 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 2025-09-07T07:32:46.6251790Z layer_outputs = layer_module( 2025-09-07T07:32:46.6252125Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6252492Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6252899Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6253309Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6253702Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6254092Z self_outputs = self.self( 2025-09-07T07:32:46.6254458Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward 2025-09-07T07:32:46.6254875Z attn_scores += diagonal_mask 2025-09-07T07:32:46.6254999Z 2025-09-07T07:32:46.6255097Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6255586Z 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 2025-09-07T07:32:46.6256042Z layer_outputs = layer_module( 2025-09-07T07:32:46.6256360Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6256708Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6257133Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6257550Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6257963Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6258411Z self_outputs = self.self( 2025-09-07T07:32:46.6258793Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward 2025-09-07T07:32:46.6259200Z attn_probs = nn.functional.softmax( 2025-09-07T07:32:46.6259329Z 2025-09-07T07:32:46.6259437Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6259925Z 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 2025-09-07T07:32:46.6260391Z layer_outputs = layer_module( 2025-09-07T07:32:46.6260725Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6261076Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6261501Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6261901Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6262298Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6262698Z self_outputs = self.self( 2025-09-07T07:32:46.6263081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 511, in forward 2025-09-07T07:32:46.6263523Z value_vectors = self.value(hidden_states) 2025-09-07T07:32:46.6263654Z 2025-09-07T07:32:46.6263752Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6264233Z 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 2025-09-07T07:32:46.6264687Z layer_outputs = layer_module( 2025-09-07T07:32:46.6265013Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6265356Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6265747Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6266168Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6266568Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6266969Z self_outputs = self.self( 2025-09-07T07:32:46.6267356Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-09-07T07:32:46.6267830Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-09-07T07:32:46.6268338Z 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 2025-09-07T07:32:46.6268920Z padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1) 2025-09-07T07:32:46.6269331Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T07:32:46.6269677Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T07:32:46.6269835Z 2025-09-07T07:32:46.6269939Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6270452Z 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 2025-09-07T07:32:46.6270932Z layer_outputs = layer_module( 2025-09-07T07:32:46.6271296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6271654Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6272071Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6272496Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6272896Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6273300Z self_outputs = self.self( 2025-09-07T07:32:46.6273685Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-09-07T07:32:46.6274138Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-09-07T07:32:46.6274654Z 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 2025-09-07T07:32:46.6275195Z chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs) 2025-09-07T07:32:46.6275715Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize 2025-09-07T07:32:46.6276179Z chunked_hidden_states = nn.functional.pad( 2025-09-07T07:32:46.6276518Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T07:32:46.6276869Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T07:32:46.6277019Z 2025-09-07T07:32:46.6277130Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6277637Z 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 2025-09-07T07:32:46.6278109Z layer_outputs = layer_module( 2025-09-07T07:32:46.6278459Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6278823Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6279235Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6279655Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6280060Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6280511Z self_outputs = self.self( 2025-09-07T07:32:46.6280904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-09-07T07:32:46.6281358Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-09-07T07:32:46.6281869Z 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 2025-09-07T07:32:46.6282428Z context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value)) 2025-09-07T07:32:46.6282639Z 2025-09-07T07:32:46.6282764Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6283270Z 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 2025-09-07T07:32:46.6283781Z layer_outputs = layer_module( 2025-09-07T07:32:46.6284140Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6284523Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6284964Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6285496Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6285966Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6286420Z self_outputs = self.self( 2025-09-07T07:32:46.6286820Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-09-07T07:32:46.6287280Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-09-07T07:32:46.6287843Z 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 2025-09-07T07:32:46.6288401Z context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value)) 2025-09-07T07:32:46.6288606Z 2025-09-07T07:32:46.6288710Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6289217Z 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 2025-09-07T07:32:46.6289673Z layer_outputs = layer_module( 2025-09-07T07:32:46.6290039Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6290385Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6290770Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6291165Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6291559Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward 2025-09-07T07:32:46.6291984Z attn_output = self.output(self_outputs[0], hidden_states) 2025-09-07T07:32:46.6292411Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward 2025-09-07T07:32:46.6292811Z hidden_states = self.dense(hidden_states) 2025-09-07T07:32:46.6292951Z 2025-09-07T07:32:46.6293051Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6293529Z 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 2025-09-07T07:32:46.6293992Z layer_outputs = layer_module( 2025-09-07T07:32:46.6294349Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6294695Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6295094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6295504Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6295893Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward 2025-09-07T07:32:46.6296314Z attn_output = self.output(self_outputs[0], hidden_states) 2025-09-07T07:32:46.6296729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward 2025-09-07T07:32:46.6297145Z hidden_states = self.dense(hidden_states) 2025-09-07T07:32:46.6297281Z 2025-09-07T07:32:46.6297377Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6297858Z 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 2025-09-07T07:32:46.6298309Z layer_outputs = layer_module( 2025-09-07T07:32:46.6298626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6298972Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6299378Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward 2025-09-07T07:32:46.6299785Z layer_output = apply_chunking_to_forward( 2025-09-07T07:32:46.6300176Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-09-07T07:32:46.6300561Z return forward_fn(*input_tensors) 2025-09-07T07:32:46.6300963Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk 2025-09-07T07:32:46.6301405Z intermediate_output = self.intermediate(attn_output) 2025-09-07T07:32:46.6301836Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1160, in forward 2025-09-07T07:32:46.6302241Z hidden_states = self.dense(hidden_states) 2025-09-07T07:32:46.6302382Z 2025-09-07T07:32:46.6302487Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6302995Z 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 2025-09-07T07:32:46.6303451Z layer_outputs = layer_module( 2025-09-07T07:32:46.6303779Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6304114Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6304508Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward 2025-09-07T07:32:46.6304909Z layer_output = apply_chunking_to_forward( 2025-09-07T07:32:46.6305288Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-09-07T07:32:46.6305676Z return forward_fn(*input_tensors) 2025-09-07T07:32:46.6306059Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk 2025-09-07T07:32:46.6306485Z intermediate_output = self.intermediate(attn_output) 2025-09-07T07:32:46.6306900Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1161, in forward 2025-09-07T07:32:46.6307328Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-09-07T07:32:46.6307681Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward 2025-09-07T07:32:46.6308027Z return self.act(input) 2025-09-07T07:32:46.6308140Z 2025-09-07T07:32:46.6308238Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6308719Z 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 2025-09-07T07:32:46.6309174Z layer_outputs = layer_module( 2025-09-07T07:32:46.6309499Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6309841Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6310234Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward 2025-09-07T07:32:46.6310659Z layer_output = apply_chunking_to_forward( 2025-09-07T07:32:46.6311037Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-09-07T07:32:46.6311401Z return forward_fn(*input_tensors) 2025-09-07T07:32:46.6311790Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1219, in ff_chunk 2025-09-07T07:32:46.6312228Z layer_output = self.output(intermediate_output, attn_output) 2025-09-07T07:32:46.6312676Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1174, in forward 2025-09-07T07:32:46.6313078Z hidden_states = self.dense(hidden_states) 2025-09-07T07:32:46.6313206Z 2025-09-07T07:32:46.6313305Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6313822Z 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 2025-09-07T07:32:46.6314305Z layer_outputs = layer_module( 2025-09-07T07:32:46.6314770Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6315142Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6315557Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6315981Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6316406Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6316811Z self_outputs = self.self( 2025-09-07T07:32:46.6317224Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward 2025-09-07T07:32:46.6317627Z query_vectors = self.query(hidden_states) 2025-09-07T07:32:46.6317763Z 2025-09-07T07:32:46.6317861Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6318348Z 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 2025-09-07T07:32:46.6318807Z layer_outputs = layer_module( 2025-09-07T07:32:46.6319126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6319470Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6319866Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6320263Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6320656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6321052Z self_outputs = self.self( 2025-09-07T07:32:46.6321437Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-09-07T07:32:46.6321897Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-09-07T07:32:46.6322378Z 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 2025-09-07T07:32:46.6322944Z diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key)) # multiply 2025-09-07T07:32:46.6323183Z 2025-09-07T07:32:46.6323285Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6323781Z 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 2025-09-07T07:32:46.6324271Z layer_outputs = layer_module( 2025-09-07T07:32:46.6324610Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6324970Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6325420Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6325837Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6326242Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6326747Z self_outputs = self.self( 2025-09-07T07:32:46.6327125Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 510, in forward 2025-09-07T07:32:46.6327527Z key_vectors = self.key(hidden_states) 2025-09-07T07:32:46.6327668Z 2025-09-07T07:32:46.6327769Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6328269Z 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 2025-09-07T07:32:46.6328740Z layer_outputs = layer_module( 2025-09-07T07:32:46.6329074Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6329431Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6329825Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6330220Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6330631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6331016Z self_outputs = self.self( 2025-09-07T07:32:46.6331394Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-09-07T07:32:46.6331810Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-09-07T07:32:46.6332282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 790, in _sliding_chunks_query_key_matmul 2025-09-07T07:32:46.6332799Z key = self._chunk(key, window_overlap, getattr(self.config, "onnx_export", False)) 2025-09-07T07:32:46.6333256Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 719, in _chunk 2025-09-07T07:32:46.6333653Z hidden_states = hidden_states.view( 2025-09-07T07:32:46.6333782Z 2025-09-07T07:32:46.6333882Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6334365Z 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 2025-09-07T07:32:46.6334821Z layer_outputs = layer_module( 2025-09-07T07:32:46.6335139Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6335502Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6335894Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6336287Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6336675Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6337057Z self_outputs = self.self( 2025-09-07T07:32:46.6337431Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-09-07T07:32:46.6337848Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-09-07T07:32:46.6338338Z 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 2025-09-07T07:32:46.6338892Z diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key)) # multiply 2025-09-07T07:32:46.6339120Z 2025-09-07T07:32:46.6339200Z cudagraph partition due to non gpu ops 2025-09-07T07:32:46.6339408Z cudagraph partition due to non gpu ops 2025-09-07T07:32:46.6339611Z cudagraph partition due to non gpu ops 2025-09-07T07:32:46.6339809Z cudagraph partition due to non gpu ops 2025-09-07T07:32:46.6340025Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6340543Z 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 2025-09-07T07:32:46.6341004Z layer_outputs = layer_module( 2025-09-07T07:32:46.6341334Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6341677Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6342062Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6342452Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6342841Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6343230Z self_outputs = self.self( 2025-09-07T07:32:46.6343603Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 536, in forward 2025-09-07T07:32:46.6343708Z diagonal_mask = self._sliding_chunks_query_key_matmul( 2025-09-07T07:32:46.6344052Z 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 2025-09-07T07:32:46.6344199Z self._mask_invalid_locations(diagonal_attention_scores, window_overlap) 2025-09-07T07:32:46.6344502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 762, in _mask_invalid_locations 2025-09-07T07:32:46.6344649Z input_tensor[:, :affected_seq_len, :, : affected_seq_len + 1] = torch.full_like( 2025-09-07T07:32:46.6344653Z 2025-09-07T07:32:46.6344730Z cudagraph partition due to non gpu ops 2025-09-07T07:32:46.6344834Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6345163Z 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 2025-09-07T07:32:46.6345233Z layer_outputs = layer_module( 2025-09-07T07:32:46.6345451Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6345529Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6345799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6345893Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6346160Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6346236Z self_outputs = self.self( 2025-09-07T07:32:46.6346500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward 2025-09-07T07:32:46.6346578Z attn_scores += diagonal_mask 2025-09-07T07:32:46.6346581Z 2025-09-07T07:32:46.6346681Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6347017Z 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 2025-09-07T07:32:46.6347117Z layer_outputs = layer_module( 2025-09-07T07:32:46.6347322Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6347410Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6347676Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6347754Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6348026Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6348094Z self_outputs = self.self( 2025-09-07T07:32:46.6348357Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward 2025-09-07T07:32:46.6348436Z attn_probs = nn.functional.softmax( 2025-09-07T07:32:46.6348439Z 2025-09-07T07:32:46.6348539Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6348855Z 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 2025-09-07T07:32:46.6348927Z layer_outputs = layer_module( 2025-09-07T07:32:46.6349128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6349202Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6349467Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6349538Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6349820Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6349891Z self_outputs = self.self( 2025-09-07T07:32:46.6350149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 511, in forward 2025-09-07T07:32:46.6350240Z value_vectors = self.value(hidden_states) 2025-09-07T07:32:46.6350244Z 2025-09-07T07:32:46.6350338Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6350668Z 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 2025-09-07T07:32:46.6350735Z layer_outputs = layer_module( 2025-09-07T07:32:46.6350948Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6351022Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6351283Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6351363Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6351623Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6351716Z self_outputs = self.self( 2025-09-07T07:32:46.6351976Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-09-07T07:32:46.6352089Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-09-07T07:32:46.6352432Z 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 2025-09-07T07:32:46.6352594Z padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1) 2025-09-07T07:32:46.6352780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T07:32:46.6352889Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T07:32:46.6352893Z 2025-09-07T07:32:46.6352993Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6353314Z 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 2025-09-07T07:32:46.6353382Z layer_outputs = layer_module( 2025-09-07T07:32:46.6353595Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6353671Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6353956Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6354030Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6354301Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6354368Z self_outputs = self.self( 2025-09-07T07:32:46.6354631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-09-07T07:32:46.6354750Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-09-07T07:32:46.6355081Z 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 2025-09-07T07:32:46.6355215Z chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs) 2025-09-07T07:32:46.6355517Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize 2025-09-07T07:32:46.6355607Z chunked_hidden_states = nn.functional.pad( 2025-09-07T07:32:46.6355813Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T07:32:46.6355910Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T07:32:46.6355914Z 2025-09-07T07:32:46.6356018Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6356352Z 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 2025-09-07T07:32:46.6356428Z layer_outputs = layer_module( 2025-09-07T07:32:46.6356638Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6356713Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6356989Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6357062Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6357338Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6357406Z self_outputs = self.self( 2025-09-07T07:32:46.6357668Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-09-07T07:32:46.6357804Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-09-07T07:32:46.6358136Z 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 2025-09-07T07:32:46.6358289Z context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value)) 2025-09-07T07:32:46.6358292Z 2025-09-07T07:32:46.6358391Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6358734Z 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 2025-09-07T07:32:46.6358824Z layer_outputs = layer_module( 2025-09-07T07:32:46.6359029Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6359114Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6359377Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6359457Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6359719Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6359793Z self_outputs = self.self( 2025-09-07T07:32:46.6360079Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-09-07T07:32:46.6360190Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-09-07T07:32:46.6360528Z 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 2025-09-07T07:32:46.6360668Z context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value)) 2025-09-07T07:32:46.6360673Z 2025-09-07T07:32:46.6360781Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6361119Z 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 2025-09-07T07:32:46.6361196Z layer_outputs = layer_module( 2025-09-07T07:32:46.6361409Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6361486Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6361781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6361860Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6362194Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward 2025-09-07T07:32:46.6362299Z attn_output = self.output(self_outputs[0], hidden_states) 2025-09-07T07:32:46.6362564Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward 2025-09-07T07:32:46.6362653Z hidden_states = self.dense(hidden_states) 2025-09-07T07:32:46.6362656Z 2025-09-07T07:32:46.6362752Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6363086Z 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 2025-09-07T07:32:46.6363155Z layer_outputs = layer_module( 2025-09-07T07:32:46.6363369Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6363447Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6363718Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6363820Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6364092Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward 2025-09-07T07:32:46.6364205Z attn_output = self.output(self_outputs[0], hidden_states) 2025-09-07T07:32:46.6364480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward 2025-09-07T07:32:46.6364571Z hidden_states = self.dense(hidden_states) 2025-09-07T07:32:46.6364575Z 2025-09-07T07:32:46.6364677Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6365054Z 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 2025-09-07T07:32:46.6365142Z layer_outputs = layer_module( 2025-09-07T07:32:46.6365354Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6365503Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6365783Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward 2025-09-07T07:32:46.6365864Z layer_output = apply_chunking_to_forward( 2025-09-07T07:32:46.6366151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-09-07T07:32:46.6366230Z return forward_fn(*input_tensors) 2025-09-07T07:32:46.6366520Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk 2025-09-07T07:32:46.6366627Z intermediate_output = self.intermediate(attn_output) 2025-09-07T07:32:46.6366893Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1160, in forward 2025-09-07T07:32:46.6366974Z hidden_states = self.dense(hidden_states) 2025-09-07T07:32:46.6366978Z 2025-09-07T07:32:46.6367075Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6367407Z 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 2025-09-07T07:32:46.6367479Z layer_outputs = layer_module( 2025-09-07T07:32:46.6367693Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6367786Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6368050Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward 2025-09-07T07:32:46.6368140Z layer_output = apply_chunking_to_forward( 2025-09-07T07:32:46.6368388Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-09-07T07:32:46.6368470Z return forward_fn(*input_tensors) 2025-09-07T07:32:46.6368733Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk 2025-09-07T07:32:46.6368843Z intermediate_output = self.intermediate(attn_output) 2025-09-07T07:32:46.6369106Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1161, in forward 2025-09-07T07:32:46.6369212Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-09-07T07:32:46.6369419Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward 2025-09-07T07:32:46.6369489Z return self.act(input) 2025-09-07T07:32:46.6369492Z 2025-09-07T07:32:46.6369596Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6369938Z 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 2025-09-07T07:32:46.6370017Z layer_outputs = layer_module( 2025-09-07T07:32:46.6370234Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6370313Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6370596Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward 2025-09-07T07:32:46.6370679Z layer_output = apply_chunking_to_forward( 2025-09-07T07:32:46.6370942Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-09-07T07:32:46.6371040Z return forward_fn(*input_tensors) 2025-09-07T07:32:46.6371318Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1219, in ff_chunk 2025-09-07T07:32:46.6371448Z layer_output = self.output(intermediate_output, attn_output) 2025-09-07T07:32:46.6371722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1174, in forward 2025-09-07T07:32:46.6371813Z hidden_states = self.dense(hidden_states) 2025-09-07T07:32:46.6371816Z 2025-09-07T07:32:46.6371919Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6372290Z 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 2025-09-07T07:32:46.6372366Z layer_outputs = layer_module( 2025-09-07T07:32:46.6372582Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6372675Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6372935Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6373017Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6373278Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6373346Z self_outputs = self.self( 2025-09-07T07:32:46.6373611Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward 2025-09-07T07:32:46.6373699Z query_vectors = self.query(hidden_states) 2025-09-07T07:32:46.6373702Z 2025-09-07T07:32:46.6373822Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6374165Z 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 2025-09-07T07:32:46.6374245Z layer_outputs = layer_module( 2025-09-07T07:32:46.6374464Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6374553Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6374827Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6374901Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6375181Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6375251Z self_outputs = self.self( 2025-09-07T07:32:46.6375525Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-09-07T07:32:46.6375634Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-09-07T07:32:46.6375969Z 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 2025-09-07T07:32:46.6376182Z diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key)) # multiply 2025-09-07T07:32:46.6376186Z 2025-09-07T07:32:46.6376290Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6376645Z 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 2025-09-07T07:32:46.6376716Z layer_outputs = layer_module( 2025-09-07T07:32:46.6376935Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6377045Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6377327Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6377412Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6377692Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6377770Z self_outputs = self.self( 2025-09-07T07:32:46.6378049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 510, in forward 2025-09-07T07:32:46.6378128Z key_vectors = self.key(hidden_states) 2025-09-07T07:32:46.6378151Z 2025-09-07T07:32:46.6378262Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6378615Z 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 2025-09-07T07:32:46.6378696Z layer_outputs = layer_module( 2025-09-07T07:32:46.6378913Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6378993Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6379280Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6379354Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6379636Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6379706Z self_outputs = self.self( 2025-09-07T07:32:46.6379988Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-09-07T07:32:46.6380107Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-09-07T07:32:46.6380443Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 790, in _sliding_chunks_query_key_matmul 2025-09-07T07:32:46.6380603Z key = self._chunk(key, window_overlap, getattr(self.config, "onnx_export", False)) 2025-09-07T07:32:46.6380878Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 719, in _chunk 2025-09-07T07:32:46.6380962Z hidden_states = hidden_states.view( 2025-09-07T07:32:46.6380965Z 2025-09-07T07:32:46.6381066Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6381419Z 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 2025-09-07T07:32:46.6381491Z layer_outputs = layer_module( 2025-09-07T07:32:46.6381709Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6381797Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6382073Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6382176Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6382452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6382522Z self_outputs = self.self( 2025-09-07T07:32:46.6382800Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-09-07T07:32:46.6382901Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-09-07T07:32:46.6383234Z 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 2025-09-07T07:32:46.6383420Z diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key)) # multiply 2025-09-07T07:32:46.6383423Z 2025-09-07T07:32:46.6383507Z cudagraph partition due to non gpu ops 2025-09-07T07:32:46.6383582Z cudagraph partition due to non gpu ops 2025-09-07T07:32:46.6383657Z cudagraph partition due to non gpu ops 2025-09-07T07:32:46.6383736Z cudagraph partition due to non gpu ops 2025-09-07T07:32:46.6383832Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6384168Z 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 2025-09-07T07:32:46.6384236Z layer_outputs = layer_module( 2025-09-07T07:32:46.6384461Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6384549Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6384821Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6384906Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6385175Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6385247Z self_outputs = self.self( 2025-09-07T07:32:46.6385524Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 536, in forward 2025-09-07T07:32:46.6385629Z diagonal_mask = self._sliding_chunks_query_key_matmul( 2025-09-07T07:32:46.6385952Z 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 2025-09-07T07:32:46.6386089Z self._mask_invalid_locations(diagonal_attention_scores, window_overlap) 2025-09-07T07:32:46.6386413Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 762, in _mask_invalid_locations 2025-09-07T07:32:46.6386553Z input_tensor[:, :affected_seq_len, :, : affected_seq_len + 1] = torch.full_like( 2025-09-07T07:32:46.6386558Z 2025-09-07T07:32:46.6386633Z cudagraph partition due to non gpu ops 2025-09-07T07:32:46.6386737Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6387068Z 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 2025-09-07T07:32:46.6387143Z layer_outputs = layer_module( 2025-09-07T07:32:46.6387352Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6387436Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6387701Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6387775Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6388045Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6388141Z self_outputs = self.self( 2025-09-07T07:32:46.6388410Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward 2025-09-07T07:32:46.6388480Z attn_scores += diagonal_mask 2025-09-07T07:32:46.6388484Z 2025-09-07T07:32:46.6388582Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6388924Z 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 2025-09-07T07:32:46.6388992Z layer_outputs = layer_module( 2025-09-07T07:32:46.6389209Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6389301Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6389572Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6389645Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6389906Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6389980Z self_outputs = self.self( 2025-09-07T07:32:46.6390240Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward 2025-09-07T07:32:46.6390342Z attn_probs = nn.functional.softmax( 2025-09-07T07:32:46.6390346Z 2025-09-07T07:32:46.6390443Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6390777Z 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 2025-09-07T07:32:46.6390845Z layer_outputs = layer_module( 2025-09-07T07:32:46.6391051Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6391134Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6391395Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6391475Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6391734Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6391801Z self_outputs = self.self( 2025-09-07T07:32:46.6392086Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 511, in forward 2025-09-07T07:32:46.6392170Z value_vectors = self.value(hidden_states) 2025-09-07T07:32:46.6392173Z 2025-09-07T07:32:46.6392277Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6392600Z 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 2025-09-07T07:32:46.6392675Z layer_outputs = layer_module( 2025-09-07T07:32:46.6392881Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6392955Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6393226Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6393297Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6393565Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6393632Z self_outputs = self.self( 2025-09-07T07:32:46.6393891Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-09-07T07:32:46.6394029Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-09-07T07:32:46.6394358Z 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 2025-09-07T07:32:46.6394530Z padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1) 2025-09-07T07:32:46.6394718Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T07:32:46.6394821Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T07:32:46.6394824Z 2025-09-07T07:32:46.6394931Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6395256Z 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 2025-09-07T07:32:46.6395348Z layer_outputs = layer_module( 2025-09-07T07:32:46.6395562Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6395642Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6395897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6395967Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6396246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6396313Z self_outputs = self.self( 2025-09-07T07:32:46.6396576Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-09-07T07:32:46.6396684Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-09-07T07:32:46.6397011Z 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 2025-09-07T07:32:46.6397136Z chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs) 2025-09-07T07:32:46.6397424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize 2025-09-07T07:32:46.6397517Z chunked_hidden_states = nn.functional.pad( 2025-09-07T07:32:46.6397691Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T07:32:46.6397787Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T07:32:46.6397790Z 2025-09-07T07:32:46.6397903Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6398229Z 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 2025-09-07T07:32:46.6398294Z layer_outputs = layer_module( 2025-09-07T07:32:46.6398496Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6398576Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6398829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6398906Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6399161Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6399226Z self_outputs = self.self( 2025-09-07T07:32:46.6399488Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-09-07T07:32:46.6399596Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-09-07T07:32:46.6399932Z 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 2025-09-07T07:32:46.6400097Z context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value)) 2025-09-07T07:32:46.6400101Z 2025-09-07T07:32:46.6400203Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6400536Z 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 2025-09-07T07:32:46.6400604Z layer_outputs = layer_module( 2025-09-07T07:32:46.6400820Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6400895Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6401185Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6401259Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6401529Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6401597Z self_outputs = self.self( 2025-09-07T07:32:46.6401854Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-09-07T07:32:46.6401970Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-09-07T07:32:46.6402319Z 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 2025-09-07T07:32:46.6402473Z context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value)) 2025-09-07T07:32:46.6402477Z 2025-09-07T07:32:46.6402574Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6402912Z 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 2025-09-07T07:32:46.6402983Z layer_outputs = layer_module( 2025-09-07T07:32:46.6403189Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6403274Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6403539Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6403618Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6403898Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward 2025-09-07T07:32:46.6404009Z attn_output = self.output(self_outputs[0], hidden_states) 2025-09-07T07:32:46.6404283Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward 2025-09-07T07:32:46.6404366Z hidden_states = self.dense(hidden_states) 2025-09-07T07:32:46.6404369Z 2025-09-07T07:32:46.6404474Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6404811Z 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 2025-09-07T07:32:46.6404889Z layer_outputs = layer_module( 2025-09-07T07:32:46.6405104Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6405180Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6405525Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6405609Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6405917Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward 2025-09-07T07:32:46.6406057Z attn_output = self.output(self_outputs[0], hidden_states) 2025-09-07T07:32:46.6406359Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward 2025-09-07T07:32:46.6406457Z hidden_states = self.dense(hidden_states) 2025-09-07T07:32:46.6406461Z 2025-09-07T07:32:46.6406569Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6406942Z 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 2025-09-07T07:32:46.6407019Z layer_outputs = layer_module( 2025-09-07T07:32:46.6407281Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6407365Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6407660Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward 2025-09-07T07:32:46.6407759Z layer_output = apply_chunking_to_forward( 2025-09-07T07:32:46.6408004Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-09-07T07:32:46.6408085Z return forward_fn(*input_tensors) 2025-09-07T07:32:46.6408372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk 2025-09-07T07:32:46.6408485Z intermediate_output = self.intermediate(attn_output) 2025-09-07T07:32:46.6408749Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1160, in forward 2025-09-07T07:32:46.6408830Z hidden_states = self.dense(hidden_states) 2025-09-07T07:32:46.6408833Z 2025-09-07T07:32:46.6408941Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6409274Z 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 2025-09-07T07:32:46.6409352Z layer_outputs = layer_module( 2025-09-07T07:32:46.6409561Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6409639Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6409913Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward 2025-09-07T07:32:46.6410020Z layer_output = apply_chunking_to_forward( 2025-09-07T07:32:46.6410273Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-09-07T07:32:46.6410348Z return forward_fn(*input_tensors) 2025-09-07T07:32:46.6410618Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk 2025-09-07T07:32:46.6410723Z intermediate_output = self.intermediate(attn_output) 2025-09-07T07:32:46.6410983Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1161, in forward 2025-09-07T07:32:46.6411098Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-09-07T07:32:46.6411297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward 2025-09-07T07:32:46.6411374Z return self.act(input) 2025-09-07T07:32:46.6411377Z 2025-09-07T07:32:46.6411474Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6411801Z 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 2025-09-07T07:32:46.6411877Z layer_outputs = layer_module( 2025-09-07T07:32:46.6412104Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6412187Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6412447Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward 2025-09-07T07:32:46.6412533Z layer_output = apply_chunking_to_forward( 2025-09-07T07:32:46.6412776Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-09-07T07:32:46.6412847Z return forward_fn(*input_tensors) 2025-09-07T07:32:46.6413116Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1219, in ff_chunk 2025-09-07T07:32:46.6413251Z layer_output = self.output(intermediate_output, attn_output) 2025-09-07T07:32:46.6413520Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1174, in forward 2025-09-07T07:32:46.6413600Z hidden_states = self.dense(hidden_states) 2025-09-07T07:32:46.6413603Z 2025-09-07T07:32:46.6413705Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6414034Z 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 2025-09-07T07:32:46.6414120Z layer_outputs = layer_module( 2025-09-07T07:32:46.6414480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6414569Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6414843Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6414918Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6415180Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6415259Z self_outputs = self.self( 2025-09-07T07:32:46.6415525Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward 2025-09-07T07:32:46.6415609Z query_vectors = self.query(hidden_states) 2025-09-07T07:32:46.6415612Z 2025-09-07T07:32:46.6415710Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6416085Z 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 2025-09-07T07:32:46.6416154Z layer_outputs = layer_module( 2025-09-07T07:32:46.6416364Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6416447Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6416711Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6416791Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6417056Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6417123Z self_outputs = self.self( 2025-09-07T07:32:46.6417395Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-09-07T07:32:46.6417493Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-09-07T07:32:46.6417831Z 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 2025-09-07T07:32:46.6418005Z diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key)) # multiply 2025-09-07T07:32:46.6418034Z 2025-09-07T07:32:46.6418139Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6418463Z 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 2025-09-07T07:32:46.6418530Z layer_outputs = layer_module( 2025-09-07T07:32:46.6418743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6418819Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6419086Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6419159Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6419445Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6419512Z self_outputs = self.self( 2025-09-07T07:32:46.6419766Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 510, in forward 2025-09-07T07:32:46.6419849Z key_vectors = self.key(hidden_states) 2025-09-07T07:32:46.6419853Z 2025-09-07T07:32:46.6419950Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6420311Z 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 2025-09-07T07:32:46.6420380Z layer_outputs = layer_module( 2025-09-07T07:32:46.6420588Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6420672Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6420935Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6421015Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6421276Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6421350Z self_outputs = self.self( 2025-09-07T07:32:46.6421613Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-09-07T07:32:46.6421708Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-09-07T07:32:46.6422033Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 790, in _sliding_chunks_query_key_matmul 2025-09-07T07:32:46.6422194Z key = self._chunk(key, window_overlap, getattr(self.config, "onnx_export", False)) 2025-09-07T07:32:46.6422472Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 719, in _chunk 2025-09-07T07:32:46.6422544Z hidden_states = hidden_states.view( 2025-09-07T07:32:46.6422548Z 2025-09-07T07:32:46.6422642Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6422963Z 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 2025-09-07T07:32:46.6423031Z layer_outputs = layer_module( 2025-09-07T07:32:46.6423240Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6423313Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6423573Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6423645Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6423898Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6423990Z self_outputs = self.self( 2025-09-07T07:32:46.6424245Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-09-07T07:32:46.6424344Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-09-07T07:32:46.6424653Z 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 2025-09-07T07:32:46.6424835Z diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key)) # multiply 2025-09-07T07:32:46.6424838Z 2025-09-07T07:32:46.6424918Z cudagraph partition due to non gpu ops 2025-09-07T07:32:46.6424994Z cudagraph partition due to non gpu ops 2025-09-07T07:32:46.6425098Z cudagraph partition due to non gpu ops 2025-09-07T07:32:46.6425171Z cudagraph partition due to non gpu ops 2025-09-07T07:32:46.6425275Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6425610Z 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 2025-09-07T07:32:46.6425679Z layer_outputs = layer_module( 2025-09-07T07:32:46.6425893Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6425969Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6426263Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6426337Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6426600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6426676Z self_outputs = self.self( 2025-09-07T07:32:46.6426938Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 536, in forward 2025-09-07T07:32:46.6427050Z diagonal_mask = self._sliding_chunks_query_key_matmul( 2025-09-07T07:32:46.6427367Z 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 2025-09-07T07:32:46.6427509Z self._mask_invalid_locations(diagonal_attention_scores, window_overlap) 2025-09-07T07:32:46.6427812Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 762, in _mask_invalid_locations 2025-09-07T07:32:46.6428476Z input_tensor[:, :affected_seq_len, :, : affected_seq_len + 1] = torch.full_like( 2025-09-07T07:32:46.6428483Z 2025-09-07T07:32:46.6428577Z cudagraph partition due to non gpu ops 2025-09-07T07:32:46.6428673Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6429024Z 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 2025-09-07T07:32:46.6429092Z layer_outputs = layer_module( 2025-09-07T07:32:46.6429301Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6429375Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6429635Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6429713Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6429974Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6430049Z self_outputs = self.self( 2025-09-07T07:32:46.6430313Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward 2025-09-07T07:32:46.6430402Z attn_scores += diagonal_mask 2025-09-07T07:32:46.6430406Z 2025-09-07T07:32:46.6430512Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6430838Z 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 2025-09-07T07:32:46.6430911Z layer_outputs = layer_module( 2025-09-07T07:32:46.6431119Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6431200Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6431463Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6431557Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6431824Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6431902Z self_outputs = self.self( 2025-09-07T07:32:46.6432158Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward 2025-09-07T07:32:46.6432232Z attn_probs = nn.functional.softmax( 2025-09-07T07:32:46.6432235Z 2025-09-07T07:32:46.6432329Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6432686Z 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 2025-09-07T07:32:46.6432757Z layer_outputs = layer_module( 2025-09-07T07:32:46.6432974Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6433050Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6433318Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6433392Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6433653Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6433727Z self_outputs = self.self( 2025-09-07T07:32:46.6433988Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 511, in forward 2025-09-07T07:32:46.6434076Z value_vectors = self.value(hidden_states) 2025-09-07T07:32:46.6434079Z 2025-09-07T07:32:46.6434175Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6434519Z 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 2025-09-07T07:32:46.6434598Z layer_outputs = layer_module( 2025-09-07T07:32:46.6434801Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6434885Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6435146Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6435223Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6435483Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6435549Z self_outputs = self.self( 2025-09-07T07:32:46.6435816Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-09-07T07:32:46.6435926Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-09-07T07:32:46.6436259Z 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 2025-09-07T07:32:46.6436442Z padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1) 2025-09-07T07:32:46.6436630Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T07:32:46.6436723Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T07:32:46.6436726Z 2025-09-07T07:32:46.6436822Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6437163Z 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 2025-09-07T07:32:46.6437232Z layer_outputs = layer_module( 2025-09-07T07:32:46.6437446Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6437542Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6437802Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6437881Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6438141Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6438215Z self_outputs = self.self( 2025-09-07T07:32:46.6438493Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-09-07T07:32:46.6438610Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-09-07T07:32:46.6438938Z 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 2025-09-07T07:32:46.6439067Z chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs) 2025-09-07T07:32:46.6439374Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize 2025-09-07T07:32:46.6439461Z chunked_hidden_states = nn.functional.pad( 2025-09-07T07:32:46.6439648Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T07:32:46.6439739Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T07:32:46.6439742Z 2025-09-07T07:32:46.6439845Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6440175Z 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 2025-09-07T07:32:46.6440263Z layer_outputs = layer_module( 2025-09-07T07:32:46.6440486Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6440563Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6440841Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6440916Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6441184Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6441262Z self_outputs = self.self( 2025-09-07T07:32:46.6441538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-09-07T07:32:46.6441660Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-09-07T07:32:46.6442019Z 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 2025-09-07T07:32:46.6442172Z context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value)) 2025-09-07T07:32:46.6442192Z 2025-09-07T07:32:46.6442293Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6442629Z 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 2025-09-07T07:32:46.6442709Z layer_outputs = layer_module( 2025-09-07T07:32:46.6442922Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6443008Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6443284Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6443359Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6443661Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6443732Z self_outputs = self.self( 2025-09-07T07:32:46.6444012Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-09-07T07:32:46.6444126Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-09-07T07:32:46.6444475Z 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 2025-09-07T07:32:46.6444639Z context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value)) 2025-09-07T07:32:46.6444643Z 2025-09-07T07:32:46.6444745Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6445115Z 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 2025-09-07T07:32:46.6445194Z layer_outputs = layer_module( 2025-09-07T07:32:46.6445504Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6445597Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6445898Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6445979Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6446274Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward 2025-09-07T07:32:46.6446401Z attn_output = self.output(self_outputs[0], hidden_states) 2025-09-07T07:32:46.6446711Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward 2025-09-07T07:32:46.6446818Z hidden_states = self.dense(hidden_states) 2025-09-07T07:32:46.6446822Z 2025-09-07T07:32:46.6446918Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6447252Z 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 2025-09-07T07:32:46.6447322Z layer_outputs = layer_module( 2025-09-07T07:32:46.6447531Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6447614Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6447878Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6447961Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6448225Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward 2025-09-07T07:32:46.6448331Z attn_output = self.output(self_outputs[0], hidden_states) 2025-09-07T07:32:46.6448601Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward 2025-09-07T07:32:46.6448700Z hidden_states = self.dense(hidden_states) 2025-09-07T07:32:46.6448703Z 2025-09-07T07:32:46.6448805Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6449129Z 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 2025-09-07T07:32:46.6449205Z layer_outputs = layer_module( 2025-09-07T07:32:46.6449411Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6449487Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6449755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward 2025-09-07T07:32:46.6449855Z layer_output = apply_chunking_to_forward( 2025-09-07T07:32:46.6450110Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-09-07T07:32:46.6450185Z return forward_fn(*input_tensors) 2025-09-07T07:32:46.6450450Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk 2025-09-07T07:32:46.6450563Z intermediate_output = self.intermediate(attn_output) 2025-09-07T07:32:46.6450841Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1160, in forward 2025-09-07T07:32:46.6450930Z hidden_states = self.dense(hidden_states) 2025-09-07T07:32:46.6450933Z 2025-09-07T07:32:46.6451031Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6451365Z 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 2025-09-07T07:32:46.6451433Z layer_outputs = layer_module( 2025-09-07T07:32:46.6451638Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6451722Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6451980Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward 2025-09-07T07:32:46.6452066Z layer_output = apply_chunking_to_forward( 2025-09-07T07:32:46.6452311Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-09-07T07:32:46.6452385Z return forward_fn(*input_tensors) 2025-09-07T07:32:46.6452671Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk 2025-09-07T07:32:46.6452775Z intermediate_output = self.intermediate(attn_output) 2025-09-07T07:32:46.6453052Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1161, in forward 2025-09-07T07:32:46.6453157Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-09-07T07:32:46.6453360Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward 2025-09-07T07:32:46.6453427Z return self.act(input) 2025-09-07T07:32:46.6453430Z 2025-09-07T07:32:46.6453526Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6453863Z 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 2025-09-07T07:32:46.6453933Z layer_outputs = layer_module( 2025-09-07T07:32:46.6454147Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6454220Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6454486Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward 2025-09-07T07:32:46.6454584Z layer_output = apply_chunking_to_forward( 2025-09-07T07:32:46.6454831Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-09-07T07:32:46.6454915Z return forward_fn(*input_tensors) 2025-09-07T07:32:46.6455184Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1219, in ff_chunk 2025-09-07T07:32:46.6455310Z layer_output = self.output(intermediate_output, attn_output) 2025-09-07T07:32:46.6455576Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1174, in forward 2025-09-07T07:32:46.6455677Z hidden_states = self.dense(hidden_states) 2025-09-07T07:32:46.6455681Z 2025-09-07T07:32:46.6455785Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6456115Z 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 2025-09-07T07:32:46.6456190Z layer_outputs = layer_module( 2025-09-07T07:32:46.6456395Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6456477Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6456752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6456827Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6457098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6457167Z self_outputs = self.self( 2025-09-07T07:32:46.6457437Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward 2025-09-07T07:32:46.6457517Z query_vectors = self.query(hidden_states) 2025-09-07T07:32:46.6457520Z 2025-09-07T07:32:46.6457615Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6457956Z 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 2025-09-07T07:32:46.6458024Z layer_outputs = layer_module( 2025-09-07T07:32:46.6458233Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6458326Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6458589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6458657Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6458912Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6458985Z self_outputs = self.self( 2025-09-07T07:32:46.6459238Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-09-07T07:32:46.6459338Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-09-07T07:32:46.6459648Z 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 2025-09-07T07:32:46.6459825Z diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key)) # multiply 2025-09-07T07:32:46.6459830Z 2025-09-07T07:32:46.6459924Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6460240Z 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 2025-09-07T07:32:46.6460330Z layer_outputs = layer_module( 2025-09-07T07:32:46.6460528Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6460608Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6460860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6460932Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6461195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6461261Z self_outputs = self.self( 2025-09-07T07:32:46.6461549Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 510, in forward 2025-09-07T07:32:46.6461625Z key_vectors = self.key(hidden_states) 2025-09-07T07:32:46.6461630Z 2025-09-07T07:32:46.6461742Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6462060Z 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 2025-09-07T07:32:46.6462124Z layer_outputs = layer_module( 2025-09-07T07:32:46.6462332Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6462420Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6462685Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6462756Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6463012Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6463084Z self_outputs = self.self( 2025-09-07T07:32:46.6463338Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-09-07T07:32:46.6463441Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-09-07T07:32:46.6463754Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 790, in _sliding_chunks_query_key_matmul 2025-09-07T07:32:46.6463905Z key = self._chunk(key, window_overlap, getattr(self.config, "onnx_export", False)) 2025-09-07T07:32:46.6464180Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 719, in _chunk 2025-09-07T07:32:46.6464253Z hidden_states = hidden_states.view( 2025-09-07T07:32:46.6464258Z 2025-09-07T07:32:46.6464360Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6464681Z 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 2025-09-07T07:32:46.6464760Z layer_outputs = layer_module( 2025-09-07T07:32:46.6464967Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6465049Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6465311Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6465384Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6465653Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6465722Z self_outputs = self.self( 2025-09-07T07:32:46.6465990Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-09-07T07:32:46.6466104Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-09-07T07:32:46.6466432Z 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 2025-09-07T07:32:46.6466610Z diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key)) # multiply 2025-09-07T07:32:46.6466613Z 2025-09-07T07:32:46.6466688Z cudagraph partition due to non gpu ops 2025-09-07T07:32:46.6466774Z cudagraph partition due to non gpu ops 2025-09-07T07:32:46.6466846Z cudagraph partition due to non gpu ops 2025-09-07T07:32:46.6466925Z cudagraph partition due to non gpu ops 2025-09-07T07:32:46.6467020Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6467372Z 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 2025-09-07T07:32:46.6467453Z layer_outputs = layer_module( 2025-09-07T07:32:46.6467668Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6467766Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6468028Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6468103Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6468386Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6468454Z self_outputs = self.self( 2025-09-07T07:32:46.6468722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 536, in forward 2025-09-07T07:32:46.6468837Z diagonal_mask = self._sliding_chunks_query_key_matmul( 2025-09-07T07:32:46.6469151Z 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 2025-09-07T07:32:46.6469283Z self._mask_invalid_locations(diagonal_attention_scores, window_overlap) 2025-09-07T07:32:46.6469582Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 762, in _mask_invalid_locations 2025-09-07T07:32:46.6469727Z input_tensor[:, :affected_seq_len, :, : affected_seq_len + 1] = torch.full_like( 2025-09-07T07:32:46.6469733Z 2025-09-07T07:32:46.6469805Z cudagraph partition due to non gpu ops 2025-09-07T07:32:46.6469910Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6470254Z 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 2025-09-07T07:32:46.6470325Z layer_outputs = layer_module( 2025-09-07T07:32:46.6470539Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6470616Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6470885Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6470958Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6471230Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6471296Z self_outputs = self.self( 2025-09-07T07:32:46.6471562Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward 2025-09-07T07:32:46.6471640Z attn_scores += diagonal_mask 2025-09-07T07:32:46.6471643Z 2025-09-07T07:32:46.6471742Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6472086Z 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 2025-09-07T07:32:46.6472168Z layer_outputs = layer_module( 2025-09-07T07:32:46.6472377Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6472450Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6472706Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6472784Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6473039Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6473129Z self_outputs = self.self( 2025-09-07T07:32:46.6473390Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward 2025-09-07T07:32:46.6473467Z attn_probs = nn.functional.softmax( 2025-09-07T07:32:46.6473470Z 2025-09-07T07:32:46.6473573Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6473903Z 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 2025-09-07T07:32:46.6473978Z layer_outputs = layer_module( 2025-09-07T07:32:46.6474202Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6474285Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6474548Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6474622Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6474890Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6474958Z self_outputs = self.self( 2025-09-07T07:32:46.6475221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 511, in forward 2025-09-07T07:32:46.6475301Z value_vectors = self.value(hidden_states) 2025-09-07T07:32:46.6475304Z 2025-09-07T07:32:46.6475398Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6475735Z 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 2025-09-07T07:32:46.6475802Z layer_outputs = layer_module( 2025-09-07T07:32:46.6476032Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6476112Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6476385Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6476461Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6476728Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6476804Z self_outputs = self.self( 2025-09-07T07:32:46.6477069Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-09-07T07:32:46.6477194Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-09-07T07:32:46.6477539Z 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 2025-09-07T07:32:46.6477711Z padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1) 2025-09-07T07:32:46.6477916Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T07:32:46.6478036Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T07:32:46.6478040Z 2025-09-07T07:32:46.6478144Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6478471Z 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 2025-09-07T07:32:46.6478547Z layer_outputs = layer_module( 2025-09-07T07:32:46.6478759Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6478833Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6479104Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6479195Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6479466Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6479534Z self_outputs = self.self( 2025-09-07T07:32:46.6479808Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-09-07T07:32:46.6479919Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-09-07T07:32:46.6480277Z 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 2025-09-07T07:32:46.6480417Z chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs) 2025-09-07T07:32:46.6480721Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize 2025-09-07T07:32:46.6480820Z chunked_hidden_states = nn.functional.pad( 2025-09-07T07:32:46.6481004Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T07:32:46.6481101Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T07:32:46.6481112Z 2025-09-07T07:32:46.6481211Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6481550Z 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 2025-09-07T07:32:46.6481628Z layer_outputs = layer_module( 2025-09-07T07:32:46.6481843Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6481941Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6482220Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6482299Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6482590Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6482661Z self_outputs = self.self( 2025-09-07T07:32:46.6482943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-09-07T07:32:46.6483058Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-09-07T07:32:46.6483409Z 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 2025-09-07T07:32:46.6483570Z context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value)) 2025-09-07T07:32:46.6483574Z 2025-09-07T07:32:46.6483677Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6484035Z 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 2025-09-07T07:32:46.6484130Z layer_outputs = layer_module( 2025-09-07T07:32:46.6484357Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6484435Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6484714Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6484798Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6485083Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6485165Z self_outputs = self.self( 2025-09-07T07:32:46.6485627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-09-07T07:32:46.6485761Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-09-07T07:32:46.6486129Z 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 2025-09-07T07:32:46.6486285Z context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value)) 2025-09-07T07:32:46.6486290Z 2025-09-07T07:32:46.6486412Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6486759Z 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 2025-09-07T07:32:46.6486837Z layer_outputs = layer_module( 2025-09-07T07:32:46.6487045Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6487130Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6487390Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6487463Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6487731Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward 2025-09-07T07:32:46.6487836Z attn_output = self.output(self_outputs[0], hidden_states) 2025-09-07T07:32:46.6488106Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward 2025-09-07T07:32:46.6488186Z hidden_states = self.dense(hidden_states) 2025-09-07T07:32:46.6488189Z 2025-09-07T07:32:46.6488303Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6488640Z 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 2025-09-07T07:32:46.6488709Z layer_outputs = layer_module( 2025-09-07T07:32:46.6488922Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6488997Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6489265Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6489337Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6489600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward 2025-09-07T07:32:46.6489711Z attn_output = self.output(self_outputs[0], hidden_states) 2025-09-07T07:32:46.6489972Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward 2025-09-07T07:32:46.6490060Z hidden_states = self.dense(hidden_states) 2025-09-07T07:32:46.6490063Z 2025-09-07T07:32:46.6490156Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6490501Z 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 2025-09-07T07:32:46.6490568Z layer_outputs = layer_module( 2025-09-07T07:32:46.6490774Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6490856Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6491115Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward 2025-09-07T07:32:46.6491201Z layer_output = apply_chunking_to_forward( 2025-09-07T07:32:46.6491446Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-09-07T07:32:46.6491536Z return forward_fn(*input_tensors) 2025-09-07T07:32:46.6491808Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk 2025-09-07T07:32:46.6491911Z intermediate_output = self.intermediate(attn_output) 2025-09-07T07:32:46.6492181Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1160, in forward 2025-09-07T07:32:46.6492258Z hidden_states = self.dense(hidden_states) 2025-09-07T07:32:46.6492261Z 2025-09-07T07:32:46.6492379Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6492707Z 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 2025-09-07T07:32:46.6492776Z layer_outputs = layer_module( 2025-09-07T07:32:46.6492992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6493065Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6493333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward 2025-09-07T07:32:46.6493410Z layer_output = apply_chunking_to_forward( 2025-09-07T07:32:46.6493654Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-09-07T07:32:46.6493734Z return forward_fn(*input_tensors) 2025-09-07T07:32:46.6493997Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk 2025-09-07T07:32:46.6494107Z intermediate_output = self.intermediate(attn_output) 2025-09-07T07:32:46.6494384Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1161, in forward 2025-09-07T07:32:46.6494498Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-09-07T07:32:46.6494697Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward 2025-09-07T07:32:46.6494766Z return self.act(input) 2025-09-07T07:32:46.6494769Z 2025-09-07T07:32:46.6494873Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6495198Z 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 2025-09-07T07:32:46.6495272Z layer_outputs = layer_module( 2025-09-07T07:32:46.6495479Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6495556Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6495825Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward 2025-09-07T07:32:46.6495906Z layer_output = apply_chunking_to_forward( 2025-09-07T07:32:46.6496155Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-09-07T07:32:46.6496248Z return forward_fn(*input_tensors) 2025-09-07T07:32:46.6496521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1219, in ff_chunk 2025-09-07T07:32:46.6496636Z layer_output = self.output(intermediate_output, attn_output) 2025-09-07T07:32:46.6496899Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1174, in forward 2025-09-07T07:32:46.6496985Z hidden_states = self.dense(hidden_states) 2025-09-07T07:32:46.6496988Z 2025-09-07T07:32:46.6497087Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6497441Z 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 2025-09-07T07:32:46.6497510Z layer_outputs = layer_module( 2025-09-07T07:32:46.6497723Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6497800Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6498063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6498145Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6498423Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6498499Z self_outputs = self.self( 2025-09-07T07:32:46.6498762Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward 2025-09-07T07:32:46.6498843Z query_vectors = self.query(hidden_states) 2025-09-07T07:32:46.6498846Z 2025-09-07T07:32:46.6498951Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6499280Z 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 2025-09-07T07:32:46.6499357Z layer_outputs = layer_module( 2025-09-07T07:32:46.6499564Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6499648Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6499913Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6500013Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6500288Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6500356Z self_outputs = self.self( 2025-09-07T07:32:46.6500619Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-09-07T07:32:46.6500716Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-09-07T07:32:46.6501034Z 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 2025-09-07T07:32:46.6501216Z diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key)) # multiply 2025-09-07T07:32:46.6501221Z 2025-09-07T07:32:46.6501317Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6501651Z 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 2025-09-07T07:32:46.6501719Z layer_outputs = layer_module( 2025-09-07T07:32:46.6501932Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6502025Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6502291Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6502369Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6502633Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6502709Z self_outputs = self.self( 2025-09-07T07:32:46.6502972Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 510, in forward 2025-09-07T07:32:46.6503057Z key_vectors = self.key(hidden_states) 2025-09-07T07:32:46.6503078Z 2025-09-07T07:32:46.6503175Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6503509Z 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 2025-09-07T07:32:46.6503585Z layer_outputs = layer_module( 2025-09-07T07:32:46.6503793Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6503876Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6504139Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6504233Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6504505Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6504573Z self_outputs = self.self( 2025-09-07T07:32:46.6504845Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-09-07T07:32:46.6504942Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-09-07T07:32:46.6505287Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 790, in _sliding_chunks_query_key_matmul 2025-09-07T07:32:46.6505432Z key = self._chunk(key, window_overlap, getattr(self.config, "onnx_export", False)) 2025-09-07T07:32:46.6505694Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 719, in _chunk 2025-09-07T07:32:46.6505775Z hidden_states = hidden_states.view( 2025-09-07T07:32:46.6505778Z 2025-09-07T07:32:46.6505874Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6506238Z 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 2025-09-07T07:32:46.6506309Z layer_outputs = layer_module( 2025-09-07T07:32:46.6506521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6506598Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6506858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6506936Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6507198Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6507270Z self_outputs = self.self( 2025-09-07T07:32:46.6507527Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-09-07T07:32:46.6507619Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-09-07T07:32:46.6507941Z 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 2025-09-07T07:32:46.6508133Z diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key)) # multiply 2025-09-07T07:32:46.6508136Z 2025-09-07T07:32:46.6508233Z cudagraph partition due to non gpu ops 2025-09-07T07:32:46.6508307Z cudagraph partition due to non gpu ops 2025-09-07T07:32:46.6508385Z cudagraph partition due to non gpu ops 2025-09-07T07:32:46.6508457Z cudagraph partition due to non gpu ops 2025-09-07T07:32:46.6508549Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6508878Z 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 2025-09-07T07:32:46.6508947Z layer_outputs = layer_module( 2025-09-07T07:32:46.6509180Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6509253Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6509519Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6509598Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6509860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6509933Z self_outputs = self.self( 2025-09-07T07:32:46.6510219Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 536, in forward 2025-09-07T07:32:46.6510323Z diagonal_mask = self._sliding_chunks_query_key_matmul( 2025-09-07T07:32:46.6510648Z 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 2025-09-07T07:32:46.6510786Z self._mask_invalid_locations(diagonal_attention_scores, window_overlap) 2025-09-07T07:32:46.6511101Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 762, in _mask_invalid_locations 2025-09-07T07:32:46.6511245Z input_tensor[:, :affected_seq_len, :, : affected_seq_len + 1] = torch.full_like( 2025-09-07T07:32:46.6511248Z 2025-09-07T07:32:46.6511332Z cudagraph partition due to non gpu ops 2025-09-07T07:32:46.6511432Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6511771Z 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 2025-09-07T07:32:46.6511849Z layer_outputs = layer_module( 2025-09-07T07:32:46.6512080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6512168Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6512437Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6512521Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6512798Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6512868Z self_outputs = self.self( 2025-09-07T07:32:46.6513149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward 2025-09-07T07:32:46.6513225Z attn_scores += diagonal_mask 2025-09-07T07:32:46.6513228Z 2025-09-07T07:32:46.6513339Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6513697Z 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 2025-09-07T07:32:46.6513769Z layer_outputs = layer_module( 2025-09-07T07:32:46.6513990Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6514087Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6514464Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6514547Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6514829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6514899Z self_outputs = self.self( 2025-09-07T07:32:46.6515173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward 2025-09-07T07:32:46.6515312Z attn_probs = nn.functional.softmax( 2025-09-07T07:32:46.6515316Z 2025-09-07T07:32:46.6515419Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6515778Z 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 2025-09-07T07:32:46.6515848Z layer_outputs = layer_module( 2025-09-07T07:32:46.6516053Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6516138Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6516427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6516511Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6516781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6516870Z self_outputs = self.self( 2025-09-07T07:32:46.6517129Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 511, in forward 2025-09-07T07:32:46.6517210Z value_vectors = self.value(hidden_states) 2025-09-07T07:32:46.6517213Z 2025-09-07T07:32:46.6517321Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6517650Z 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 2025-09-07T07:32:46.6517725Z layer_outputs = layer_module( 2025-09-07T07:32:46.6517933Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6518018Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6518309Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6518383Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6518654Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6518723Z self_outputs = self.self( 2025-09-07T07:32:46.6518992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-09-07T07:32:46.6519105Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-09-07T07:32:46.6519433Z 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 2025-09-07T07:32:46.6519602Z padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1) 2025-09-07T07:32:46.6519786Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T07:32:46.6519889Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T07:32:46.6519892Z 2025-09-07T07:32:46.6519988Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6520347Z 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 2025-09-07T07:32:46.6520416Z layer_outputs = layer_module( 2025-09-07T07:32:46.6520621Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6520704Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6520966Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6521045Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6521305Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6521390Z self_outputs = self.self( 2025-09-07T07:32:46.6521666Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-09-07T07:32:46.6521781Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-09-07T07:32:46.6522130Z 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 2025-09-07T07:32:46.6522259Z chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs) 2025-09-07T07:32:46.6522602Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize 2025-09-07T07:32:46.6522693Z chunked_hidden_states = nn.functional.pad( 2025-09-07T07:32:46.6522878Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T07:32:46.6522980Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T07:32:46.6522984Z 2025-09-07T07:32:46.6523081Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6523425Z 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 2025-09-07T07:32:46.6523494Z layer_outputs = layer_module( 2025-09-07T07:32:46.6523712Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6523788Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6524057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6524138Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6524427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6524506Z self_outputs = self.self( 2025-09-07T07:32:46.6524771Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-09-07T07:32:46.6524883Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-09-07T07:32:46.6525223Z 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 2025-09-07T07:32:46.6525413Z context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value)) 2025-09-07T07:32:46.6525419Z 2025-09-07T07:32:46.6525535Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6525873Z 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 2025-09-07T07:32:46.6525952Z layer_outputs = layer_module( 2025-09-07T07:32:46.6526163Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6526263Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6526542Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6526616Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6526901Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6526970Z self_outputs = self.self( 2025-09-07T07:32:46.6527251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-09-07T07:32:46.6527365Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-09-07T07:32:46.6527717Z 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 2025-09-07T07:32:46.6527870Z context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value)) 2025-09-07T07:32:46.6527875Z 2025-09-07T07:32:46.6527974Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6528319Z 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 2025-09-07T07:32:46.6528391Z layer_outputs = layer_module( 2025-09-07T07:32:46.6528622Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6528708Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6528977Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6529062Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6529331Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward 2025-09-07T07:32:46.6529447Z attn_output = self.output(self_outputs[0], hidden_states) 2025-09-07T07:32:46.6529717Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward 2025-09-07T07:32:46.6529801Z hidden_states = self.dense(hidden_states) 2025-09-07T07:32:46.6529804Z 2025-09-07T07:32:46.6529910Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6530249Z 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 2025-09-07T07:32:46.6530347Z layer_outputs = layer_module( 2025-09-07T07:32:46.6530559Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6530644Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6530911Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6530988Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6531262Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward 2025-09-07T07:32:46.6531370Z attn_output = self.output(self_outputs[0], hidden_states) 2025-09-07T07:32:46.6531646Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward 2025-09-07T07:32:46.6531725Z hidden_states = self.dense(hidden_states) 2025-09-07T07:32:46.6531729Z 2025-09-07T07:32:46.6531826Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6532172Z 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 2025-09-07T07:32:46.6532240Z layer_outputs = layer_module( 2025-09-07T07:32:46.6532476Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6532552Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6532825Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward 2025-09-07T07:32:46.6532906Z layer_output = apply_chunking_to_forward( 2025-09-07T07:32:46.6533160Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-09-07T07:32:46.6533245Z return forward_fn(*input_tensors) 2025-09-07T07:32:46.6533518Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk 2025-09-07T07:32:46.6533650Z intermediate_output = self.intermediate(attn_output) 2025-09-07T07:32:46.6533921Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1160, in forward 2025-09-07T07:32:46.6534003Z hidden_states = self.dense(hidden_states) 2025-09-07T07:32:46.6534013Z 2025-09-07T07:32:46.6534111Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6534452Z 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 2025-09-07T07:32:46.6534548Z layer_outputs = layer_module( 2025-09-07T07:32:46.6534765Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6534851Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6535122Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward 2025-09-07T07:32:46.6535205Z layer_output = apply_chunking_to_forward( 2025-09-07T07:32:46.6535465Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-09-07T07:32:46.6535540Z return forward_fn(*input_tensors) 2025-09-07T07:32:46.6535818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk 2025-09-07T07:32:46.6535924Z intermediate_output = self.intermediate(attn_output) 2025-09-07T07:32:46.6536205Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1161, in forward 2025-09-07T07:32:46.6536313Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-09-07T07:32:46.6536538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward 2025-09-07T07:32:46.6536618Z return self.act(input) 2025-09-07T07:32:46.6536622Z 2025-09-07T07:32:46.6536720Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6537072Z 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 2025-09-07T07:32:46.6537141Z layer_outputs = layer_module( 2025-09-07T07:32:46.6537356Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6537441Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6537718Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward 2025-09-07T07:32:46.6537806Z layer_output = apply_chunking_to_forward( 2025-09-07T07:32:46.6538057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-09-07T07:32:46.6538138Z return forward_fn(*input_tensors) 2025-09-07T07:32:46.6538411Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1219, in ff_chunk 2025-09-07T07:32:46.6538550Z layer_output = self.output(intermediate_output, attn_output) 2025-09-07T07:32:46.6538825Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1174, in forward 2025-09-07T07:32:46.6538905Z hidden_states = self.dense(hidden_states) 2025-09-07T07:32:46.6538908Z 2025-09-07T07:32:46.6539016Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6539353Z 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 2025-09-07T07:32:46.6539427Z layer_outputs = layer_module( 2025-09-07T07:32:46.6539665Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6539741Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6540015Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6540091Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6540363Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6540435Z self_outputs = self.self( 2025-09-07T07:32:46.6540725Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward 2025-09-07T07:32:46.6540815Z query_vectors = self.query(hidden_states) 2025-09-07T07:32:46.6540819Z 2025-09-07T07:32:46.6540918Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6541260Z 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 2025-09-07T07:32:46.6541330Z layer_outputs = layer_module( 2025-09-07T07:32:46.6541546Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6541622Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6541889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6541969Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6542237Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6542314Z self_outputs = self.self( 2025-09-07T07:32:46.6542607Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-09-07T07:32:46.6542709Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-09-07T07:32:46.6543043Z 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 2025-09-07T07:32:46.6543222Z diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key)) # multiply 2025-09-07T07:32:46.6543226Z 2025-09-07T07:32:46.6543333Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6543669Z 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 2025-09-07T07:32:46.6543745Z layer_outputs = layer_module( 2025-09-07T07:32:46.6543959Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6544039Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6544366Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6544460Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6544737Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6544806Z self_outputs = self.self( 2025-09-07T07:32:46.6545071Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 510, in forward 2025-09-07T07:32:46.6545156Z key_vectors = self.key(hidden_states) 2025-09-07T07:32:46.6545161Z 2025-09-07T07:32:46.6545260Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6545604Z 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 2025-09-07T07:32:46.6545707Z layer_outputs = layer_module( 2025-09-07T07:32:46.6545924Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6546002Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6546266Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6546348Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6546616Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6546709Z self_outputs = self.self( 2025-09-07T07:32:46.6546978Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-09-07T07:32:46.6547087Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-09-07T07:32:46.6547414Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 790, in _sliding_chunks_query_key_matmul 2025-09-07T07:32:46.6547561Z key = self._chunk(key, window_overlap, getattr(self.config, "onnx_export", False)) 2025-09-07T07:32:46.6547837Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 719, in _chunk 2025-09-07T07:32:46.6547914Z hidden_states = hidden_states.view( 2025-09-07T07:32:46.6547917Z 2025-09-07T07:32:46.6548023Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6548361Z 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 2025-09-07T07:32:46.6548431Z layer_outputs = layer_module( 2025-09-07T07:32:46.6548671Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6548753Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6549029Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6549103Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6549378Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6549447Z self_outputs = self.self( 2025-09-07T07:32:46.6549713Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-09-07T07:32:46.6549821Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-09-07T07:32:46.6550152Z 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 2025-09-07T07:32:46.6550340Z diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key)) # multiply 2025-09-07T07:32:46.6550344Z 2025-09-07T07:32:46.6550425Z cudagraph partition due to non gpu ops 2025-09-07T07:32:46.6550534Z cudagraph partition due to non gpu ops 2025-09-07T07:32:46.6550610Z cudagraph partition due to non gpu ops 2025-09-07T07:32:46.6550684Z cudagraph partition due to non gpu ops 2025-09-07T07:32:46.6550802Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6551140Z 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 2025-09-07T07:32:46.6551216Z layer_outputs = layer_module( 2025-09-07T07:32:46.6551424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6551501Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6551771Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6551864Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6552133Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6552202Z self_outputs = self.self( 2025-09-07T07:32:46.6552462Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 536, in forward 2025-09-07T07:32:46.6552573Z diagonal_mask = self._sliding_chunks_query_key_matmul( 2025-09-07T07:32:46.6552910Z 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 2025-09-07T07:32:46.6553055Z self._mask_invalid_locations(diagonal_attention_scores, window_overlap) 2025-09-07T07:32:46.6553364Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 762, in _mask_invalid_locations 2025-09-07T07:32:46.6553512Z input_tensor[:, :affected_seq_len, :, : affected_seq_len + 1] = torch.full_like( 2025-09-07T07:32:46.6553517Z 2025-09-07T07:32:46.6553592Z cudagraph partition due to non gpu ops 2025-09-07T07:32:46.6553691Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6554030Z 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 2025-09-07T07:32:46.6554097Z layer_outputs = layer_module( 2025-09-07T07:32:46.6554315Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6554390Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6554679Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6554753Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6555022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6555099Z self_outputs = self.self( 2025-09-07T07:32:46.6555361Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward 2025-09-07T07:32:46.6555437Z attn_scores += diagonal_mask 2025-09-07T07:32:46.6555440Z 2025-09-07T07:32:46.6555536Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6555866Z 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 2025-09-07T07:32:46.6555941Z layer_outputs = layer_module( 2025-09-07T07:32:46.6556150Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6556233Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6556495Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6556592Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6556852Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6556916Z self_outputs = self.self( 2025-09-07T07:32:46.6557179Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward 2025-09-07T07:32:46.6557255Z attn_probs = nn.functional.softmax( 2025-09-07T07:32:46.6557258Z 2025-09-07T07:32:46.6557361Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6557684Z 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 2025-09-07T07:32:46.6557773Z layer_outputs = layer_module( 2025-09-07T07:32:46.6557991Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6558067Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6558341Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6558412Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6558701Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6558770Z self_outputs = self.self( 2025-09-07T07:32:46.6559030Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 511, in forward 2025-09-07T07:32:46.6559117Z value_vectors = self.value(hidden_states) 2025-09-07T07:32:46.6559121Z 2025-09-07T07:32:46.6559215Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6559550Z 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 2025-09-07T07:32:46.6559619Z layer_outputs = layer_module( 2025-09-07T07:32:46.6559823Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6559905Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6560165Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6560242Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6560518Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6560597Z self_outputs = self.self( 2025-09-07T07:32:46.6560854Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-09-07T07:32:46.6560969Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-09-07T07:32:46.6561310Z 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 2025-09-07T07:32:46.6561476Z padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1) 2025-09-07T07:32:46.6561672Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T07:32:46.6561770Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T07:32:46.6561774Z 2025-09-07T07:32:46.6561880Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6562215Z 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 2025-09-07T07:32:46.6562287Z layer_outputs = layer_module( 2025-09-07T07:32:46.6562530Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6562607Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6562891Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6562964Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6563227Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6563300Z self_outputs = self.self( 2025-09-07T07:32:46.6563566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-09-07T07:32:46.6563704Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-09-07T07:32:46.6564042Z 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 2025-09-07T07:32:46.6564183Z chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs) 2025-09-07T07:32:46.6564489Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize 2025-09-07T07:32:46.6564579Z chunked_hidden_states = nn.functional.pad( 2025-09-07T07:32:46.6564791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T07:32:46.6564889Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T07:32:46.6564892Z 2025-09-07T07:32:46.6564998Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6565354Z 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 2025-09-07T07:32:46.6565509Z layer_outputs = layer_module( 2025-09-07T07:32:46.6565746Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6565829Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6566129Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6566212Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6566520Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6566595Z self_outputs = self.self( 2025-09-07T07:32:46.6566907Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-09-07T07:32:46.6567043Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-09-07T07:32:46.6567407Z 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 2025-09-07T07:32:46.6567560Z context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value)) 2025-09-07T07:32:46.6567564Z 2025-09-07T07:32:46.6567662Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6567995Z 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 2025-09-07T07:32:46.6568065Z layer_outputs = layer_module( 2025-09-07T07:32:46.6568271Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6568356Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6568659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6568776Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6569116Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6569191Z self_outputs = self.self( 2025-09-07T07:32:46.6569490Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-09-07T07:32:46.6569611Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-09-07T07:32:46.6569988Z 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 2025-09-07T07:32:46.6570146Z context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value)) 2025-09-07T07:32:46.6570170Z 2025-09-07T07:32:46.6570286Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6570650Z 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 2025-09-07T07:32:46.6570726Z layer_outputs = layer_module( 2025-09-07T07:32:46.6570962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6571046Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6571368Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6571451Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6571760Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward 2025-09-07T07:32:46.6571879Z attn_output = self.output(self_outputs[0], hidden_states) 2025-09-07T07:32:46.6572183Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward 2025-09-07T07:32:46.6572282Z hidden_states = self.dense(hidden_states) 2025-09-07T07:32:46.6572285Z 2025-09-07T07:32:46.6572390Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6572762Z 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 2025-09-07T07:32:46.6572837Z layer_outputs = layer_module( 2025-09-07T07:32:46.6573067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6573158Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6573476Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6573567Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6573868Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward 2025-09-07T07:32:46.6573991Z attn_output = self.output(self_outputs[0], hidden_states) 2025-09-07T07:32:46.6574291Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward 2025-09-07T07:32:46.6574381Z hidden_states = self.dense(hidden_states) 2025-09-07T07:32:46.6574385Z 2025-09-07T07:32:46.6574499Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6574867Z 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 2025-09-07T07:32:46.6574949Z layer_outputs = layer_module( 2025-09-07T07:32:46.6575182Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6575273Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6575588Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward 2025-09-07T07:32:46.6575677Z layer_output = apply_chunking_to_forward( 2025-09-07T07:32:46.6575962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-09-07T07:32:46.6576044Z return forward_fn(*input_tensors) 2025-09-07T07:32:46.6576339Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk 2025-09-07T07:32:46.6576444Z intermediate_output = self.intermediate(attn_output) 2025-09-07T07:32:46.6576709Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1160, in forward 2025-09-07T07:32:46.6576815Z hidden_states = self.dense(hidden_states) 2025-09-07T07:32:46.6576820Z 2025-09-07T07:32:46.6576917Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6577252Z 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 2025-09-07T07:32:46.6577320Z layer_outputs = layer_module( 2025-09-07T07:32:46.6577534Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6577608Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6577889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward 2025-09-07T07:32:46.6577979Z layer_output = apply_chunking_to_forward( 2025-09-07T07:32:46.6578225Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-09-07T07:32:46.6578309Z return forward_fn(*input_tensors) 2025-09-07T07:32:46.6578575Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk 2025-09-07T07:32:46.6578676Z intermediate_output = self.intermediate(attn_output) 2025-09-07T07:32:46.6578944Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1161, in forward 2025-09-07T07:32:46.6579049Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-09-07T07:32:46.6579259Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward 2025-09-07T07:32:46.6579329Z return self.act(input) 2025-09-07T07:32:46.6579332Z 2025-09-07T07:32:46.6579455Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6579782Z 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 2025-09-07T07:32:46.6579853Z layer_outputs = layer_module( 2025-09-07T07:32:46.6580067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6580142Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6580408Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward 2025-09-07T07:32:46.6580487Z layer_output = apply_chunking_to_forward( 2025-09-07T07:32:46.6580739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-09-07T07:32:46.6580811Z return forward_fn(*input_tensors) 2025-09-07T07:32:46.6581075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1219, in ff_chunk 2025-09-07T07:32:46.6581200Z layer_output = self.output(intermediate_output, attn_output) 2025-09-07T07:32:46.6581460Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1174, in forward 2025-09-07T07:32:46.6581566Z hidden_states = self.dense(hidden_states) 2025-09-07T07:32:46.6581569Z 2025-09-07T07:32:46.6581665Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6581994Z 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 2025-09-07T07:32:46.6582072Z layer_outputs = layer_module( 2025-09-07T07:32:46.6582279Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6582363Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6582628Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6582730Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6582993Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6583062Z self_outputs = self.self( 2025-09-07T07:32:46.6583331Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward 2025-09-07T07:32:46.6583409Z query_vectors = self.query(hidden_states) 2025-09-07T07:32:46.6583412Z 2025-09-07T07:32:46.6583535Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6583873Z 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 2025-09-07T07:32:46.6583943Z layer_outputs = layer_module( 2025-09-07T07:32:46.6584168Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6584246Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6584529Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6584606Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6584891Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6584962Z self_outputs = self.self( 2025-09-07T07:32:46.6585236Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-09-07T07:32:46.6585343Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-09-07T07:32:46.6585698Z 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 2025-09-07T07:32:46.6585896Z diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key)) # multiply 2025-09-07T07:32:46.6585901Z 2025-09-07T07:32:46.6585996Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6586337Z 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 2025-09-07T07:32:46.6586404Z layer_outputs = layer_module( 2025-09-07T07:32:46.6586609Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6586690Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6586956Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6587034Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6587299Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6587365Z self_outputs = self.self( 2025-09-07T07:32:46.6587655Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 510, in forward 2025-09-07T07:32:46.6587730Z key_vectors = self.key(hidden_states) 2025-09-07T07:32:46.6587734Z 2025-09-07T07:32:46.6587835Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6588163Z 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 2025-09-07T07:32:46.6588237Z layer_outputs = layer_module( 2025-09-07T07:32:46.6588449Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6588540Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6588809Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6588882Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6589150Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6589217Z self_outputs = self.self( 2025-09-07T07:32:46.6589477Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-09-07T07:32:46.6589596Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-09-07T07:32:46.6589918Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 790, in _sliding_chunks_query_key_matmul 2025-09-07T07:32:46.6590071Z key = self._chunk(key, window_overlap, getattr(self.config, "onnx_export", False)) 2025-09-07T07:32:46.6590334Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 719, in _chunk 2025-09-07T07:32:46.6590416Z hidden_states = hidden_states.view( 2025-09-07T07:32:46.6590419Z 2025-09-07T07:32:46.6590515Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6590840Z 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 2025-09-07T07:32:46.6590915Z layer_outputs = layer_module( 2025-09-07T07:32:46.6591122Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6591204Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6591489Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6591571Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6591837Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6591905Z self_outputs = self.self( 2025-09-07T07:32:46.6592174Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-09-07T07:32:46.6592270Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-09-07T07:32:46.6592595Z 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 2025-09-07T07:32:46.6592774Z diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key)) # multiply 2025-09-07T07:32:46.6592777Z 2025-09-07T07:32:46.6592865Z cudagraph partition due to non gpu ops 2025-09-07T07:32:46.6592941Z cudagraph partition due to non gpu ops 2025-09-07T07:32:46.6593017Z cudagraph partition due to non gpu ops 2025-09-07T07:32:46.6593099Z cudagraph partition due to non gpu ops 2025-09-07T07:32:46.6593197Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6593553Z 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 2025-09-07T07:32:46.6593623Z layer_outputs = layer_module( 2025-09-07T07:32:46.6593832Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6593913Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6594177Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6594257Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6594523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6594609Z self_outputs = self.self( 2025-09-07T07:32:46.6594879Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 536, in forward 2025-09-07T07:32:46.6594986Z diagonal_mask = self._sliding_chunks_query_key_matmul( 2025-09-07T07:32:46.6595310Z 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 2025-09-07T07:32:46.6595447Z self._mask_invalid_locations(diagonal_attention_scores, window_overlap) 2025-09-07T07:32:46.6595773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 762, in _mask_invalid_locations 2025-09-07T07:32:46.6595915Z input_tensor[:, :affected_seq_len, :, : affected_seq_len + 1] = torch.full_like( 2025-09-07T07:32:46.6595920Z 2025-09-07T07:32:46.6595996Z cudagraph partition due to non gpu ops 2025-09-07T07:32:46.6596102Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6596433Z 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 2025-09-07T07:32:46.6596509Z layer_outputs = layer_module( 2025-09-07T07:32:46.6596718Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6596793Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6597077Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6597147Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6597430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6597498Z self_outputs = self.self( 2025-09-07T07:32:46.6597758Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward 2025-09-07T07:32:46.6597830Z attn_scores += diagonal_mask 2025-09-07T07:32:46.6597833Z 2025-09-07T07:32:46.6597926Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6598257Z 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 2025-09-07T07:32:46.6598322Z layer_outputs = layer_module( 2025-09-07T07:32:46.6598530Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6598605Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6598864Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6598941Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6599195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6599288Z self_outputs = self.self( 2025-09-07T07:32:46.6599542Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward 2025-09-07T07:32:46.6599622Z attn_probs = nn.functional.softmax( 2025-09-07T07:32:46.6599625Z 2025-09-07T07:32:46.6599720Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6600039Z 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 2025-09-07T07:32:46.6600113Z layer_outputs = layer_module( 2025-09-07T07:32:46.6600313Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6600411Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6600672Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6600746Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6601014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6601082Z self_outputs = self.self( 2025-09-07T07:32:46.6601354Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 511, in forward 2025-09-07T07:32:46.6601454Z value_vectors = self.value(hidden_states) 2025-09-07T07:32:46.6601458Z 2025-09-07T07:32:46.6601562Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6601903Z 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 2025-09-07T07:32:46.6601974Z layer_outputs = layer_module( 2025-09-07T07:32:46.6602199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6602278Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6602557Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6602632Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6602912Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6602979Z self_outputs = self.self( 2025-09-07T07:32:46.6603274Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-09-07T07:32:46.6603402Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-09-07T07:32:46.6603746Z 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 2025-09-07T07:32:46.6603924Z padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1) 2025-09-07T07:32:46.6604112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T07:32:46.6604211Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T07:32:46.6604222Z 2025-09-07T07:32:46.6604321Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6604667Z 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 2025-09-07T07:32:46.6604748Z layer_outputs = layer_module( 2025-09-07T07:32:46.6604963Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6605051Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6605326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6605491Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6605775Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6605844Z self_outputs = self.self( 2025-09-07T07:32:46.6606122Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-09-07T07:32:46.6606238Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-09-07T07:32:46.6606582Z 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 2025-09-07T07:32:46.6606740Z chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs) 2025-09-07T07:32:46.6607046Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize 2025-09-07T07:32:46.6607147Z chunked_hidden_states = nn.functional.pad( 2025-09-07T07:32:46.6607333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T07:32:46.6607437Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T07:32:46.6607441Z 2025-09-07T07:32:46.6607539Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6607895Z 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 2025-09-07T07:32:46.6607987Z layer_outputs = layer_module( 2025-09-07T07:32:46.6608193Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6608277Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6608551Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6608630Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6608883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6608949Z self_outputs = self.self( 2025-09-07T07:32:46.6609213Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-09-07T07:32:46.6609318Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-09-07T07:32:46.6609658Z 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 2025-09-07T07:32:46.6609804Z context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value)) 2025-09-07T07:32:46.6609809Z 2025-09-07T07:32:46.6609912Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6610233Z 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 2025-09-07T07:32:46.6610301Z layer_outputs = layer_module( 2025-09-07T07:32:46.6610510Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6610585Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6610847Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6610917Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6611175Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6611248Z self_outputs = self.self( 2025-09-07T07:32:46.6611517Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-09-07T07:32:46.6611632Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-09-07T07:32:46.6611959Z 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 2025-09-07T07:32:46.6612106Z context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value)) 2025-09-07T07:32:46.6612110Z 2025-09-07T07:32:46.6612206Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6612532Z 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 2025-09-07T07:32:46.6612628Z layer_outputs = layer_module( 2025-09-07T07:32:46.6612835Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6612920Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6613181Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6613260Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6613548Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward 2025-09-07T07:32:46.6613659Z attn_output = self.output(self_outputs[0], hidden_states) 2025-09-07T07:32:46.6613928Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward 2025-09-07T07:32:46.6614009Z hidden_states = self.dense(hidden_states) 2025-09-07T07:32:46.6614012Z 2025-09-07T07:32:46.6614115Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6614575Z 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 2025-09-07T07:32:46.6614654Z layer_outputs = layer_module( 2025-09-07T07:32:46.6614870Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6614947Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6615218Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6615291Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6615597Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward 2025-09-07T07:32:46.6615705Z attn_output = self.output(self_outputs[0], hidden_states) 2025-09-07T07:32:46.6615965Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward 2025-09-07T07:32:46.6616054Z hidden_states = self.dense(hidden_states) 2025-09-07T07:32:46.6616058Z 2025-09-07T07:32:46.6616154Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6616485Z 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 2025-09-07T07:32:46.6616554Z layer_outputs = layer_module( 2025-09-07T07:32:46.6616760Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6616844Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6617104Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward 2025-09-07T07:32:46.6617191Z layer_output = apply_chunking_to_forward( 2025-09-07T07:32:46.6617434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-09-07T07:32:46.6617542Z return forward_fn(*input_tensors) 2025-09-07T07:32:46.6617812Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk 2025-09-07T07:32:46.6617916Z intermediate_output = self.intermediate(attn_output) 2025-09-07T07:32:46.6618187Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1160, in forward 2025-09-07T07:32:46.6618266Z hidden_states = self.dense(hidden_states) 2025-09-07T07:32:46.6618270Z 2025-09-07T07:32:46.6618375Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6618724Z 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 2025-09-07T07:32:46.6618800Z layer_outputs = layer_module( 2025-09-07T07:32:46.6619006Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6619079Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6619343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward 2025-09-07T07:32:46.6619421Z layer_output = apply_chunking_to_forward( 2025-09-07T07:32:46.6619692Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-09-07T07:32:46.6619769Z return forward_fn(*input_tensors) 2025-09-07T07:32:46.6620034Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk 2025-09-07T07:32:46.6620145Z intermediate_output = self.intermediate(attn_output) 2025-09-07T07:32:46.6620412Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1161, in forward 2025-09-07T07:32:46.6620529Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-09-07T07:32:46.6620736Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward 2025-09-07T07:32:46.6620813Z return self.act(input) 2025-09-07T07:32:46.6620816Z 2025-09-07T07:32:46.6620922Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6621250Z 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 2025-09-07T07:32:46.6621344Z layer_outputs = layer_module( 2025-09-07T07:32:46.6621554Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6621638Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6621905Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward 2025-09-07T07:32:46.6621986Z layer_output = apply_chunking_to_forward( 2025-09-07T07:32:46.6622248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-09-07T07:32:46.6622322Z return forward_fn(*input_tensors) 2025-09-07T07:32:46.6622596Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1219, in ff_chunk 2025-09-07T07:32:46.6622711Z layer_output = self.output(intermediate_output, attn_output) 2025-09-07T07:32:46.6622981Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1174, in forward 2025-09-07T07:32:46.6623062Z hidden_states = self.dense(hidden_states) 2025-09-07T07:32:46.6623065Z 2025-09-07T07:32:46.6623161Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6623516Z 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 2025-09-07T07:32:46.6623587Z layer_outputs = layer_module( 2025-09-07T07:32:46.6623799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6623875Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6624146Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6624219Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6624483Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6624577Z self_outputs = self.self( 2025-09-07T07:32:46.6624843Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward 2025-09-07T07:32:46.6624932Z query_vectors = self.query(hidden_states) 2025-09-07T07:32:46.6624935Z 2025-09-07T07:32:46.6625033Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6625359Z 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 2025-09-07T07:32:46.6625450Z layer_outputs = layer_module( 2025-09-07T07:32:46.6625658Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6625743Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6626003Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6626085Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6626347Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6626413Z self_outputs = self.self( 2025-09-07T07:32:46.6626679Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-09-07T07:32:46.6626776Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-09-07T07:32:46.6627103Z 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 2025-09-07T07:32:46.6627295Z diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key)) # multiply 2025-09-07T07:32:46.6627300Z 2025-09-07T07:32:46.6627398Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6627743Z 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 2025-09-07T07:32:46.6627813Z layer_outputs = layer_module( 2025-09-07T07:32:46.6628027Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6628101Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6628373Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6628447Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6628713Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6628786Z self_outputs = self.self( 2025-09-07T07:32:46.6629048Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 510, in forward 2025-09-07T07:32:46.6629132Z key_vectors = self.key(hidden_states) 2025-09-07T07:32:46.6629153Z 2025-09-07T07:32:46.6629250Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6629587Z 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 2025-09-07T07:32:46.6629654Z layer_outputs = layer_module( 2025-09-07T07:32:46.6629860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6629944Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6630207Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6630304Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6630569Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6630638Z self_outputs = self.self( 2025-09-07T07:32:46.6630908Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-09-07T07:32:46.6631003Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-09-07T07:32:46.6631335Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 790, in _sliding_chunks_query_key_matmul 2025-09-07T07:32:46.6631510Z key = self._chunk(key, window_overlap, getattr(self.config, "onnx_export", False)) 2025-09-07T07:32:46.6631777Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 719, in _chunk 2025-09-07T07:32:46.6631850Z hidden_states = hidden_states.view( 2025-09-07T07:32:46.6631854Z 2025-09-07T07:32:46.6631948Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6632288Z 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 2025-09-07T07:32:46.6632359Z layer_outputs = layer_module( 2025-09-07T07:32:46.6632575Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6632649Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6632915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6632994Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6633285Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6633360Z self_outputs = self.self( 2025-09-07T07:32:46.6633612Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-09-07T07:32:46.6633712Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-09-07T07:32:46.6634026Z 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 2025-09-07T07:32:46.6634199Z diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key)) # multiply 2025-09-07T07:32:46.6634211Z 2025-09-07T07:32:46.6634291Z cudagraph partition due to non gpu ops 2025-09-07T07:32:46.6634368Z cudagraph partition due to non gpu ops 2025-09-07T07:32:46.6634446Z cudagraph partition due to non gpu ops 2025-09-07T07:32:46.6634516Z cudagraph partition due to non gpu ops 2025-09-07T07:32:46.6634615Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6634955Z 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 2025-09-07T07:32:46.6635023Z layer_outputs = layer_module( 2025-09-07T07:32:46.6635256Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6635331Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6635603Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6635674Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6635943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6636015Z self_outputs = self.self( 2025-09-07T07:32:46.6636272Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 536, in forward 2025-09-07T07:32:46.6636403Z diagonal_mask = self._sliding_chunks_query_key_matmul( 2025-09-07T07:32:46.6636713Z 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 2025-09-07T07:32:46.6636846Z self._mask_invalid_locations(diagonal_attention_scores, window_overlap) 2025-09-07T07:32:46.6637147Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 762, in _mask_invalid_locations 2025-09-07T07:32:46.6637283Z input_tensor[:, :affected_seq_len, :, : affected_seq_len + 1] = torch.full_like( 2025-09-07T07:32:46.6637303Z 2025-09-07T07:32:46.6637387Z cudagraph partition due to non gpu ops 2025-09-07T07:32:46.6637487Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6637832Z 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 2025-09-07T07:32:46.6637906Z layer_outputs = layer_module( 2025-09-07T07:32:46.6638117Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6638204Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6638469Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6638553Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6638827Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6638905Z self_outputs = self.self( 2025-09-07T07:32:46.6639196Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward 2025-09-07T07:32:46.6639273Z attn_scores += diagonal_mask 2025-09-07T07:32:46.6639276Z 2025-09-07T07:32:46.6639382Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6639716Z 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 2025-09-07T07:32:46.6639795Z layer_outputs = layer_module( 2025-09-07T07:32:46.6640007Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6640085Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6640363Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6640437Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6640718Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6640788Z self_outputs = self.self( 2025-09-07T07:32:46.6641065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward 2025-09-07T07:32:46.6641163Z attn_probs = nn.functional.softmax( 2025-09-07T07:32:46.6641166Z 2025-09-07T07:32:46.6641264Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6641607Z 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 2025-09-07T07:32:46.6641677Z layer_outputs = layer_module( 2025-09-07T07:32:46.6641906Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6641985Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6642267Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6642368Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6642640Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6642718Z self_outputs = self.self( 2025-09-07T07:32:46.6642996Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 511, in forward 2025-09-07T07:32:46.6643092Z value_vectors = self.value(hidden_states) 2025-09-07T07:32:46.6643095Z 2025-09-07T07:32:46.6643200Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6643584Z 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 2025-09-07T07:32:46.6643664Z layer_outputs = layer_module( 2025-09-07T07:32:46.6643881Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6643967Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6644246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6644327Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6644624Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6644698Z self_outputs = self.self( 2025-09-07T07:32:46.6644995Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-09-07T07:32:46.6645122Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-09-07T07:32:46.6645581Z 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 2025-09-07T07:32:46.6645772Z padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1) 2025-09-07T07:32:46.6645978Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T07:32:46.6646091Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T07:32:46.6646095Z 2025-09-07T07:32:46.6646204Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6646591Z 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 2025-09-07T07:32:46.6646660Z layer_outputs = layer_module( 2025-09-07T07:32:46.6646891Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6646966Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6647231Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6647311Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6647579Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6647678Z self_outputs = self.self( 2025-09-07T07:32:46.6647948Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-09-07T07:32:46.6666757Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-09-07T07:32:46.6667356Z 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 2025-09-07T07:32:46.6667500Z chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs) 2025-09-07T07:32:46.6667827Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize 2025-09-07T07:32:46.6668008Z chunked_hidden_states = nn.functional.pad( 2025-09-07T07:32:46.6668212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T07:32:46.6668323Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T07:32:46.6668330Z 2025-09-07T07:32:46.6668442Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6668811Z 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 2025-09-07T07:32:46.6668892Z layer_outputs = layer_module( 2025-09-07T07:32:46.6669161Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6669251Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6669535Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6669620Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6669894Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6669991Z self_outputs = self.self( 2025-09-07T07:32:46.6670256Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-09-07T07:32:46.6670383Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-09-07T07:32:46.6670721Z 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 2025-09-07T07:32:46.6670929Z context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value)) 2025-09-07T07:32:46.6670942Z 2025-09-07T07:32:46.6671046Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6671387Z 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 2025-09-07T07:32:46.6671470Z layer_outputs = layer_module( 2025-09-07T07:32:46.6671687Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6671778Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6672055Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6672136Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6672422Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T07:32:46.6672497Z self_outputs = self.self( 2025-09-07T07:32:46.6672779Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-09-07T07:32:46.6672895Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-09-07T07:32:46.6673273Z 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 2025-09-07T07:32:46.6673418Z context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value)) 2025-09-07T07:32:46.6673422Z 2025-09-07T07:32:46.6673521Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6673863Z 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 2025-09-07T07:32:46.6673934Z layer_outputs = layer_module( 2025-09-07T07:32:46.6674152Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6674250Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6674525Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6674601Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6674873Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward 2025-09-07T07:32:46.6674994Z attn_output = self.output(self_outputs[0], hidden_states) 2025-09-07T07:32:46.6675288Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward 2025-09-07T07:32:46.6675382Z hidden_states = self.dense(hidden_states) 2025-09-07T07:32:46.6675386Z 2025-09-07T07:32:46.6675490Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6675840Z 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 2025-09-07T07:32:46.6675922Z layer_outputs = layer_module( 2025-09-07T07:32:46.6676144Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6676231Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6676508Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T07:32:46.6676592Z self_attn_outputs = self.attention( 2025-09-07T07:32:46.6676871Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward 2025-09-07T07:32:46.6676982Z attn_output = self.output(self_outputs[0], hidden_states) 2025-09-07T07:32:46.6677298Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward 2025-09-07T07:32:46.6677381Z hidden_states = self.dense(hidden_states) 2025-09-07T07:32:46.6677385Z 2025-09-07T07:32:46.6677492Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6677831Z 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 2025-09-07T07:32:46.6677911Z layer_outputs = layer_module( 2025-09-07T07:32:46.6678132Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6678211Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6678496Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward 2025-09-07T07:32:46.6678580Z layer_output = apply_chunking_to_forward( 2025-09-07T07:32:46.6678846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-09-07T07:32:46.6678928Z return forward_fn(*input_tensors) 2025-09-07T07:32:46.6679209Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk 2025-09-07T07:32:46.6679348Z intermediate_output = self.intermediate(attn_output) 2025-09-07T07:32:46.6679628Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1160, in forward 2025-09-07T07:32:46.6679718Z hidden_states = self.dense(hidden_states) 2025-09-07T07:32:46.6679721Z 2025-09-07T07:32:46.6679826Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6680186Z 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 2025-09-07T07:32:46.6680260Z layer_outputs = layer_module( 2025-09-07T07:32:46.6680498Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6680585Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6680862Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward 2025-09-07T07:32:46.6680956Z layer_output = apply_chunking_to_forward( 2025-09-07T07:32:46.6681214Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-09-07T07:32:46.6681291Z return forward_fn(*input_tensors) 2025-09-07T07:32:46.6681838Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk 2025-09-07T07:32:46.6681950Z intermediate_output = self.intermediate(attn_output) 2025-09-07T07:32:46.6682242Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1161, in forward 2025-09-07T07:32:46.6682362Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-09-07T07:32:46.6682594Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward 2025-09-07T07:32:46.6682673Z return self.act(input) 2025-09-07T07:32:46.6682678Z 2025-09-07T07:32:46.6682797Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:32:46.6683150Z 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 2025-09-07T07:32:46.6683225Z layer_outputs = layer_module( 2025-09-07T07:32:46.6683454Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T07:32:46.6683534Z return super().__call__(*args, **kwargs) 2025-09-07T07:32:46.6683830Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward 2025-09-07T07:32:46.6683927Z layer_output = apply_chunking_to_forward( 2025-09-07T07:32:46.6684199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-09-07T07:32:46.6684290Z return forward_fn(*input_tensors) 2025-09-07T07:32:46.6684591Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1219, in ff_chunk 2025-09-07T07:32:46.6684732Z layer_output = self.output(intermediate_output, attn_output) 2025-09-07T07:32:46.6685038Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1174, in forward 2025-09-07T07:32:46.6685125Z hidden_states = self.dense(hidden_states) 2025-09-07T07:32:46.6685129Z 2025-09-07T07:33:54.4380942Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:33:54.4381781Z 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 2025-09-07T07:33:54.4386929Z prediction_scores = self.lm_head(sequence_output) 2025-09-07T07:33:54.4387941Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1333, in forward 2025-09-07T07:33:54.4388376Z x = self.dense(features) 2025-09-07T07:33:54.4388507Z 2025-09-07T07:33:54.4388620Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:33:54.4389208Z 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 2025-09-07T07:33:54.4389736Z prediction_scores = self.lm_head(sequence_output) 2025-09-07T07:33:54.4390201Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1338, in forward 2025-09-07T07:33:54.4390684Z x = self.decoder(x) 2025-09-07T07:33:54.4390799Z 2025-09-07T07:33:57.0330821Z Compilation time (from dynamo_timed): 245.653356642 2025-09-07T07:33:57.0715015Z pass 2025-09-07T07:33:57.0718858Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:33:57.0719700Z TIMING: gc:0.0072 entire_frame_compile:245.65336 _recursive_pre_grad_passes:0.02144 _recursive_joint_graph_passes:2.57646 _recursive_post_grad_passes:12.41931 async_compile.wait:3.05461 code_gen:64.32739 inductor_compile:104.54382 backend_compile:198.50709 total_wall_time:245.65336 2025-09-07T07:33:57.0721269Z STATS: call_* op count: 1849 | FakeTensorMode.__torch_dispatch__:66290 | attempt fast:361 | fast is_contiguous:352 | FakeTensor.__torch_dispatch__:17390 | ProxyTorchDispatchMode.__torch_dispatch__:19860 | slow both tensors nontrivially broadcast:6 | slow no contiguity match:3 2025-09-07T07:33:57.0722051Z Dynamo produced 4 graphs covering 1849 ops with 4 graph breaks (1 unique) 2025-09-07T07:34:37.7822381Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T07:34:37.7823325Z import pynvml # type: ignore[import] 2025-09-07T07:34:39.7506361Z 2025-09-07T07:34:40.9395709Z loading model: 0it [00:00, ?it/s]Passing a tuple of `past_key_values` is deprecated and will be removed in Transformers v4.58.0. You should pass an instance of `ReformerDynamicCache` instead, e.g. `past_key_values=ReformerDynamicCache.from_legacy_cache(past_key_values)`. 2025-09-07T07:34:40.9397796Z WARNING:transformers.models.reformer.modeling_reformer:Passing a tuple of `past_key_values` is deprecated and will be removed in Transformers v4.58.0. You should pass an instance of `ReformerDynamicCache` instead, e.g. `past_key_values=ReformerDynamicCache.from_legacy_cache(past_key_values)`. 2025-09-07T07:34:41.2560086Z 2025-09-07T07:34:41.2564256Z loading model: 0it [00:01, ?it/s] 2025-09-07T07:34:41.2568804Z cpu eval hf_Reformer 2025-09-07T07:34:43.0385178Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:34:43.6914947Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:34:44.2972222Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:34:52.9479277Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:34:52.9480015Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 2095, in forward 2025-09-07T07:34:52.9480633Z least_common_mult_chunk_length = _get_least_common_mult_chunk_len(self.config) 2025-09-07T07:34:52.9481295Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 194, in _get_least_common_mult_chunk_len 2025-09-07T07:34:52.9481891Z return np.lcm(config.lsh_attn_chunk_length, config.local_attn_chunk_length) 2025-09-07T07:34:52.9482485Z 2025-09-07T07:34:52.9482610Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:34:52.9483077Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 2099, in forward 2025-09-07T07:34:52.9483516Z input_shape[-1] % least_common_mult_chunk_length != 0 2025-09-07T07:34:52.9483673Z 2025-09-07T07:34:53.7773550Z W0907 07:34:53.775754 26579 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0] Graph break from `Tensor.item()`, consider setting: 2025-09-07T07:34:53.7774288Z W0907 07:34:53.775754 26579 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0] torch._dynamo.config.capture_scalar_outputs = True 2025-09-07T07:34:53.7777531Z W0907 07:34:53.775754 26579 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0] or: 2025-09-07T07:34:53.7778329Z W0907 07:34:53.775754 26579 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0] env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1 2025-09-07T07:34:53.7778948Z W0907 07:34:53.775754 26579 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0] to include these operations in the captured graph. 2025-09-07T07:34:53.7781390Z W0907 07:34:53.775754 26579 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0] 2025-09-07T07:34:53.7781880Z W0907 07:34:53.775754 26579 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0] Graph break: from user code at: 2025-09-07T07:34:53.7790267Z W0907 07:34:53.775754 26579 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0] File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 2132, in torch_dynamo_resume_in_forward_at_2104 2025-09-07T07:34:53.7791301Z W0907 07:34:53.775754 26579 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0] embedding_output = self.embeddings( 2025-09-07T07:34:53.7792320Z W0907 07:34:53.775754 26579 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0] File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 369, in forward 2025-09-07T07:34:53.7796361Z W0907 07:34:53.775754 26579 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0] position_embeddings = self.position_embeddings(position_ids) 2025-09-07T07:34:53.7797443Z W0907 07:34:53.775754 26579 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0] File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 293, in forward 2025-09-07T07:34:53.7800163Z W0907 07:34:53.775754 26579 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0] max_position_id = position_ids.max().item() 2025-09-07T07:34:53.7800926Z W0907 07:34:53.775754 26579 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0] 2025-09-07T07:34:53.7801418Z W0907 07:34:53.775754 26579 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0] 2025-09-07T07:34:54.0375629Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:34:54.0379754Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 351, in forward 2025-09-07T07:34:54.0380217Z position_ids = torch.arange( 2025-09-07T07:34:54.0380357Z 2025-09-07T07:34:54.0380481Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:34:54.0381058Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 357, in forward 2025-09-07T07:34:54.0381528Z inputs_embeds = self.word_embeddings(input_ids) 2025-09-07T07:34:54.0381699Z 2025-09-07T07:34:55.1439866Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:34:55.1440716Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 293, in forward 2025-09-07T07:34:55.1441994Z max_position_id = position_ids.max().item() 2025-09-07T07:34:55.1442399Z 2025-09-07T07:34:56.6721121Z cudagraph partition due to non gpu ops 2025-09-07T07:34:56.6721825Z cudagraph partition due to non gpu ops 2025-09-07T07:34:56.6722077Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:34:56.6722728Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 297, in torch_dynamo_resume_in_forward_at_293 2025-09-07T07:34:56.6723307Z position_encodings = torch.cat( 2025-09-07T07:34:56.6723444Z 2025-09-07T07:34:56.6723574Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:34:56.6724094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 303, in torch_dynamo_resume_in_forward_at_293 2025-09-07T07:34:56.6724619Z position_encodings = torch.cat( 2025-09-07T07:34:56.6724823Z 2025-09-07T07:34:58.1601960Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:34:58.1602806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 370, in torch_dynamo_resume_in_forward_at_369 2025-09-07T07:34:58.1604035Z embeddings = embeddings + position_embeddings 2025-09-07T07:34:58.1604269Z 2025-09-07T07:35:03.2049330Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2050295Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2051430Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2057175Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2058128Z layer_outputs = layer( 2025-09-07T07:35:03.2058545Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2059030Z attn_outputs = self.attention( 2025-09-07T07:35:03.2059504Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2059981Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2060438Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward 2025-09-07T07:35:03.2060958Z buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask) 2025-09-07T07:35:03.2061499Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 749, in _hash_vectors 2025-09-07T07:35:03.2062425Z random_rotations = torch.randn(rotations_shape, device=vectors.device, dtype=vectors.dtype) 2025-09-07T07:35:03.2062692Z 2025-09-07T07:35:03.2062810Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2063329Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2063852Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2064279Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2064691Z layer_outputs = layer( 2025-09-07T07:35:03.2065084Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2065541Z attn_outputs = self.attention( 2025-09-07T07:35:03.2065946Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2066374Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2066795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 587, in forward 2025-09-07T07:35:03.2067310Z sorted_bucket_idx, undo_sorted_bucket_idx = self._get_sorted_bucket_idx_and_undo_sorted_bucket_idx( 2025-09-07T07:35:03.2068029Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 807, in _get_sorted_bucket_idx_and_undo_sorted_bucket_idx 2025-09-07T07:35:03.2068609Z undo_sorted_bucket_idx.scatter_(-1, sorted_bucket_idx, indices) 2025-09-07T07:35:03.2068808Z 2025-09-07T07:35:03.2068922Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2069462Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2069973Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2070389Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2070842Z layer_outputs = layer( 2025-09-07T07:35:03.2071269Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2071689Z attn_outputs = self.attention( 2025-09-07T07:35:03.2072086Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2072503Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2072960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 587, in forward 2025-09-07T07:35:03.2073493Z sorted_bucket_idx, undo_sorted_bucket_idx = self._get_sorted_bucket_idx_and_undo_sorted_bucket_idx( 2025-09-07T07:35:03.2074093Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 800, in _get_sorted_bucket_idx_and_undo_sorted_bucket_idx 2025-09-07T07:35:03.2074636Z torch.arange(sorted_bucket_idx.shape[-1], device=buckets.device) 2025-09-07T07:35:03.2074823Z 2025-09-07T07:35:03.2074928Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2075457Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2075975Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2076418Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2076844Z layer_outputs = layer( 2025-09-07T07:35:03.2077290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2077736Z attn_outputs = self.attention( 2025-09-07T07:35:03.2078168Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2078617Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2079054Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward 2025-09-07T07:35:03.2079558Z buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask) 2025-09-07T07:35:03.2080076Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 749, in _hash_vectors 2025-09-07T07:35:03.2080644Z random_rotations = torch.randn(rotations_shape, device=vectors.device, dtype=vectors.dtype) 2025-09-07T07:35:03.2080906Z 2025-09-07T07:35:03.2081026Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2081565Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2082084Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2082544Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2083004Z layer_outputs = layer( 2025-09-07T07:35:03.2083412Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2083846Z attn_outputs = self.attention( 2025-09-07T07:35:03.2084402Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2084856Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2085426Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 587, in forward 2025-09-07T07:35:03.2086064Z sorted_bucket_idx, undo_sorted_bucket_idx = self._get_sorted_bucket_idx_and_undo_sorted_bucket_idx( 2025-09-07T07:35:03.2086732Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 807, in _get_sorted_bucket_idx_and_undo_sorted_bucket_idx 2025-09-07T07:35:03.2087327Z undo_sorted_bucket_idx.scatter_(-1, sorted_bucket_idx, indices) 2025-09-07T07:35:03.2087529Z 2025-09-07T07:35:03.2087642Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2088176Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2088728Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2089173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2089589Z layer_outputs = layer( 2025-09-07T07:35:03.2089994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2090463Z attn_outputs = self.attention( 2025-09-07T07:35:03.2090883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2091317Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2091756Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 587, in forward 2025-09-07T07:35:03.2092294Z sorted_bucket_idx, undo_sorted_bucket_idx = self._get_sorted_bucket_idx_and_undo_sorted_bucket_idx( 2025-09-07T07:35:03.2092946Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 800, in _get_sorted_bucket_idx_and_undo_sorted_bucket_idx 2025-09-07T07:35:03.2093518Z torch.arange(sorted_bucket_idx.shape[-1], device=buckets.device) 2025-09-07T07:35:03.2093716Z 2025-09-07T07:35:03.2093833Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2094352Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2094872Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2095310Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2095732Z layer_outputs = layer( 2025-09-07T07:35:03.2096133Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2096554Z attn_outputs = self.attention( 2025-09-07T07:35:03.2096974Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2097419Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2097836Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward 2025-09-07T07:35:03.2098318Z buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask) 2025-09-07T07:35:03.2098803Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 749, in _hash_vectors 2025-09-07T07:35:03.2099327Z random_rotations = torch.randn(rotations_shape, device=vectors.device, dtype=vectors.dtype) 2025-09-07T07:35:03.2099577Z 2025-09-07T07:35:03.2099708Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2100201Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2100686Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2101129Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2101549Z layer_outputs = layer( 2025-09-07T07:35:03.2101952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2102372Z attn_outputs = self.attention( 2025-09-07T07:35:03.2102794Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2103230Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2103666Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 587, in forward 2025-09-07T07:35:03.2104171Z sorted_bucket_idx, undo_sorted_bucket_idx = self._get_sorted_bucket_idx_and_undo_sorted_bucket_idx( 2025-09-07T07:35:03.2104765Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 807, in _get_sorted_bucket_idx_and_undo_sorted_bucket_idx 2025-09-07T07:35:03.2105299Z undo_sorted_bucket_idx.scatter_(-1, sorted_bucket_idx, indices) 2025-09-07T07:35:03.2105483Z 2025-09-07T07:35:03.2105588Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2106083Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2106571Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2106982Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2107378Z layer_outputs = layer( 2025-09-07T07:35:03.2107780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2108181Z attn_outputs = self.attention( 2025-09-07T07:35:03.2108564Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2108979Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2109387Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 587, in forward 2025-09-07T07:35:03.2109889Z sorted_bucket_idx, undo_sorted_bucket_idx = self._get_sorted_bucket_idx_and_undo_sorted_bucket_idx( 2025-09-07T07:35:03.2110477Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 800, in _get_sorted_bucket_idx_and_undo_sorted_bucket_idx 2025-09-07T07:35:03.2111010Z torch.arange(sorted_bucket_idx.shape[-1], device=buckets.device) 2025-09-07T07:35:03.2111185Z 2025-09-07T07:35:03.2111288Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2111770Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2112238Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2112717Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2113138Z layer_outputs = layer( 2025-09-07T07:35:03.2113502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2113905Z attn_outputs = self.attention( 2025-09-07T07:35:03.2114310Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2114900Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2115320Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1198, in forward 2025-09-07T07:35:03.2115803Z query_vectors = self.query(hidden_states) 2025-09-07T07:35:03.2115950Z 2025-09-07T07:35:03.2116055Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2116549Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2117020Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2117418Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2117844Z layer_outputs = layer( 2025-09-07T07:35:03.2118223Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2118620Z attn_outputs = self.attention( 2025-09-07T07:35:03.2119007Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2119412Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2119818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1199, in forward 2025-09-07T07:35:03.2120220Z key_vectors = self.key(hidden_states) 2025-09-07T07:35:03.2120353Z 2025-09-07T07:35:03.2120442Z cudagraph partition due to non gpu ops 2025-09-07T07:35:03.2120657Z cudagraph partition due to non gpu ops 2025-09-07T07:35:03.2120888Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2121382Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2121891Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2122300Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2122684Z layer_outputs = layer( 2025-09-07T07:35:03.2123059Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2123453Z attn_outputs = self.attention( 2025-09-07T07:35:03.2123845Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2124267Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2124680Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1265, in forward 2025-09-07T07:35:03.2125192Z key_vectors = self._look_adjacent(key_vectors, self.num_chunks_before, self.num_chunks_after) 2025-09-07T07:35:03.2125877Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent 2025-09-07T07:35:03.2126384Z slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2)) 2025-09-07T07:35:03.2126597Z 2025-09-07T07:35:03.2126725Z cudagraph partition due to non gpu ops 2025-09-07T07:35:03.2126943Z cudagraph partition due to non gpu ops 2025-09-07T07:35:03.2127178Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2127668Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2128145Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2128552Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2128931Z layer_outputs = layer( 2025-09-07T07:35:03.2129307Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2129713Z attn_outputs = self.attention( 2025-09-07T07:35:03.2130098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2130498Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2130904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1265, in forward 2025-09-07T07:35:03.2131398Z key_vectors = self._look_adjacent(key_vectors, self.num_chunks_before, self.num_chunks_after) 2025-09-07T07:35:03.2131922Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 400, in _look_adjacent 2025-09-07T07:35:03.2132336Z return torch.cat(slices, dim=3) 2025-09-07T07:35:03.2132460Z 2025-09-07T07:35:03.2132565Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2133055Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2133536Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2133936Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2134316Z layer_outputs = layer( 2025-09-07T07:35:03.2134674Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2135059Z attn_outputs = self.attention( 2025-09-07T07:35:03.2135435Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2136077Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2136497Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1272, in forward 2025-09-07T07:35:03.2136953Z query_key_dots = torch.matmul(query_vectors, key_vectors.transpose(-1, -2)) 2025-09-07T07:35:03.2137154Z 2025-09-07T07:35:03.2137254Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2137726Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2138191Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2138584Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2138958Z layer_outputs = layer( 2025-09-07T07:35:03.2139321Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2139708Z attn_outputs = self.attention( 2025-09-07T07:35:03.2140087Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2140481Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2140890Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1272, in forward 2025-09-07T07:35:03.2141340Z query_key_dots = torch.matmul(query_vectors, key_vectors.transpose(-1, -2)) 2025-09-07T07:35:03.2141540Z 2025-09-07T07:35:03.2141642Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2142125Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2142602Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2143014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2143418Z layer_outputs = layer( 2025-09-07T07:35:03.2143785Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2144183Z attn_outputs = self.attention( 2025-09-07T07:35:03.2144558Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2144946Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2145341Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1200, in forward 2025-09-07T07:35:03.2145750Z value_vectors = self.value(hidden_states) 2025-09-07T07:35:03.2145882Z 2025-09-07T07:35:03.2145967Z cudagraph partition due to non gpu ops 2025-09-07T07:35:03.2146165Z cudagraph partition due to non gpu ops 2025-09-07T07:35:03.2146392Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2146863Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2147322Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2147716Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2148088Z layer_outputs = layer( 2025-09-07T07:35:03.2148449Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2148832Z attn_outputs = self.attention( 2025-09-07T07:35:03.2149210Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2149612Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2150019Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1266, in forward 2025-09-07T07:35:03.2150520Z value_vectors = self._look_adjacent(value_vectors, self.num_chunks_before, self.num_chunks_after) 2025-09-07T07:35:03.2151032Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent 2025-09-07T07:35:03.2151503Z slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2)) 2025-09-07T07:35:03.2151700Z 2025-09-07T07:35:03.2151786Z cudagraph partition due to non gpu ops 2025-09-07T07:35:03.2151985Z cudagraph partition due to non gpu ops 2025-09-07T07:35:03.2152215Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2152693Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2153169Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2153574Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2153964Z layer_outputs = layer( 2025-09-07T07:35:03.2154361Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2154794Z attn_outputs = self.attention( 2025-09-07T07:35:03.2155169Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2155560Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2155958Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1308, in forward 2025-09-07T07:35:03.2156382Z out_vectors = torch.matmul(attention_probs, value_vectors) 2025-09-07T07:35:03.2156543Z 2025-09-07T07:35:03.2156652Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2157145Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2157606Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2158003Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2158381Z layer_outputs = layer( 2025-09-07T07:35:03.2158745Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2159132Z attn_outputs = self.attention( 2025-09-07T07:35:03.2159523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2159924Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2160318Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1308, in forward 2025-09-07T07:35:03.2160740Z out_vectors = torch.matmul(attention_probs, value_vectors) 2025-09-07T07:35:03.2160905Z 2025-09-07T07:35:03.2161012Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2161483Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2161954Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2162364Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2162750Z layer_outputs = layer( 2025-09-07T07:35:03.2163135Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2163519Z attn_outputs = self.attention( 2025-09-07T07:35:03.2163913Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2164331Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2164742Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1324, in forward 2025-09-07T07:35:03.2165327Z out_vectors = self._merge_hidden_size_dims(out_vectors, self.num_attention_heads, self.attention_head_size) 2025-09-07T07:35:03.2165918Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 415, in _merge_hidden_size_dims 2025-09-07T07:35:03.2166439Z return torch.reshape(x, (x.size()[0], -1, num_attn_heads * attn_head_size)) 2025-09-07T07:35:03.2166641Z 2025-09-07T07:35:03.2166748Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2167246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2167740Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2168138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2168572Z layer_outputs = layer( 2025-09-07T07:35:03.2168943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2169338Z attn_outputs = self.attention( 2025-09-07T07:35:03.2169718Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1457, in forward 2025-09-07T07:35:03.2170176Z attention_output = self.output(self_attention_outputs.hidden_states) 2025-09-07T07:35:03.2170636Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1371, in forward 2025-09-07T07:35:03.2171073Z hidden_states = self.dense(hidden_states) 2025-09-07T07:35:03.2171211Z 2025-09-07T07:35:03.2171324Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2171803Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2172277Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2172685Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2173085Z layer_outputs = layer( 2025-09-07T07:35:03.2173481Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward 2025-09-07T07:35:03.2173940Z hidden_states = hidden_states + self.feed_forward(attn_output) 2025-09-07T07:35:03.2174398Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward 2025-09-07T07:35:03.2174803Z return apply_chunking_to_forward( 2025-09-07T07:35:03.2175193Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-09-07T07:35:03.2175592Z return forward_fn(*input_tensors) 2025-09-07T07:35:03.2176006Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1518, in forward_chunk 2025-09-07T07:35:03.2176422Z hidden_states = self.dense(hidden_states) 2025-09-07T07:35:03.2176831Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1479, in forward 2025-09-07T07:35:03.2177241Z hidden_states = self.dense(hidden_states) 2025-09-07T07:35:03.2177375Z 2025-09-07T07:35:03.2177502Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2177985Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2178457Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2178860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2179249Z layer_outputs = layer( 2025-09-07T07:35:03.2179619Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward 2025-09-07T07:35:03.2180048Z hidden_states = hidden_states + self.feed_forward(attn_output) 2025-09-07T07:35:03.2180487Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward 2025-09-07T07:35:03.2180886Z return apply_chunking_to_forward( 2025-09-07T07:35:03.2181268Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-09-07T07:35:03.2181646Z return forward_fn(*input_tensors) 2025-09-07T07:35:03.2182040Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1518, in forward_chunk 2025-09-07T07:35:03.2182463Z hidden_states = self.dense(hidden_states) 2025-09-07T07:35:03.2182852Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1481, in forward 2025-09-07T07:35:03.2183235Z hidden_states = self.act_fn(hidden_states) 2025-09-07T07:35:03.2183365Z 2025-09-07T07:35:03.2183462Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2183930Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2184388Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2184813Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2185190Z layer_outputs = layer( 2025-09-07T07:35:03.2185543Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward 2025-09-07T07:35:03.2185964Z hidden_states = hidden_states + self.feed_forward(attn_output) 2025-09-07T07:35:03.2186389Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward 2025-09-07T07:35:03.2186772Z return apply_chunking_to_forward( 2025-09-07T07:35:03.2187155Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-09-07T07:35:03.2187518Z return forward_fn(*input_tensors) 2025-09-07T07:35:03.2187913Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1519, in forward_chunk 2025-09-07T07:35:03.2188312Z return self.output(hidden_states) 2025-09-07T07:35:03.2188690Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1493, in forward 2025-09-07T07:35:03.2189083Z hidden_states = self.dense(hidden_states) 2025-09-07T07:35:03.2189213Z 2025-09-07T07:35:03.2189313Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2189787Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2190249Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2190645Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2191035Z layer_outputs = layer( 2025-09-07T07:35:03.2191391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2191772Z attn_outputs = self.attention( 2025-09-07T07:35:03.2192148Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2192545Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2192934Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 540, in forward 2025-09-07T07:35:03.2193336Z query_key_vectors = self.query_key(hidden_states) 2025-09-07T07:35:03.2193481Z 2025-09-07T07:35:03.2193580Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2194058Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2194531Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2194943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2195340Z layer_outputs = layer( 2025-09-07T07:35:03.2195759Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2196162Z attn_outputs = self.attention( 2025-09-07T07:35:03.2196552Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2196959Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2197377Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward 2025-09-07T07:35:03.2197830Z buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask) 2025-09-07T07:35:03.2198297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 749, in _hash_vectors 2025-09-07T07:35:03.2198813Z random_rotations = torch.randn(rotations_shape, device=vectors.device, dtype=vectors.dtype) 2025-09-07T07:35:03.2199045Z 2025-09-07T07:35:03.2199144Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2199614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2200077Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2200496Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2200889Z layer_outputs = layer( 2025-09-07T07:35:03.2201243Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2201625Z attn_outputs = self.attention( 2025-09-07T07:35:03.2201998Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2202400Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2202806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward 2025-09-07T07:35:03.2203264Z buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask) 2025-09-07T07:35:03.2203749Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 751, in _hash_vectors 2025-09-07T07:35:03.2204247Z rotated_vectors = torch.einsum("bmtd,mdhr->bmhtr", vectors, random_rotations) 2025-09-07T07:35:03.2204454Z 2025-09-07T07:35:03.2204567Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2205100Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2205694Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2206142Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2206578Z layer_outputs = layer( 2025-09-07T07:35:03.2206986Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2207391Z attn_outputs = self.attention( 2025-09-07T07:35:03.2207783Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2208203Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2208622Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward 2025-09-07T07:35:03.2209091Z buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask) 2025-09-07T07:35:03.2209566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 754, in _hash_vectors 2025-09-07T07:35:03.2210075Z rotated_vectors = torch.cat([rotated_vectors, -rotated_vectors], dim=-1) 2025-09-07T07:35:03.2210280Z 2025-09-07T07:35:03.2210382Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2210879Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2211366Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2211782Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2212171Z layer_outputs = layer( 2025-09-07T07:35:03.2212567Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2212968Z attn_outputs = self.attention( 2025-09-07T07:35:03.2213362Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2213773Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2214185Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward 2025-09-07T07:35:03.2214769Z buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask) 2025-09-07T07:35:03.2215300Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 755, in _hash_vectors 2025-09-07T07:35:03.2215741Z buckets = torch.argmax(rotated_vectors, dim=-1) 2025-09-07T07:35:03.2215896Z 2025-09-07T07:35:03.2216001Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2216498Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2216989Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2217406Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2217799Z layer_outputs = layer( 2025-09-07T07:35:03.2218176Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2218588Z attn_outputs = self.attention( 2025-09-07T07:35:03.2218985Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2219450Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2219872Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 587, in forward 2025-09-07T07:35:03.2220368Z sorted_bucket_idx, undo_sorted_bucket_idx = self._get_sorted_bucket_idx_and_undo_sorted_bucket_idx( 2025-09-07T07:35:03.2220951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 796, in _get_sorted_bucket_idx_and_undo_sorted_bucket_idx 2025-09-07T07:35:03.2221457Z sorted_bucket_idx = _stable_argsort(buckets, dim=-1) 2025-09-07T07:35:03.2221894Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 182, in _stable_argsort 2025-09-07T07:35:03.2222385Z scaled_vector = vector.shape[dim] * vector + (scale_offset % vector.shape[dim]) 2025-09-07T07:35:03.2222589Z 2025-09-07T07:35:03.2222673Z cudagraph partition due to non gpu ops 2025-09-07T07:35:03.2222917Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2223407Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2223886Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2224326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2224708Z layer_outputs = layer( 2025-09-07T07:35:03.2225084Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2225478Z attn_outputs = self.attention( 2025-09-07T07:35:03.2225865Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2226274Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2226670Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 587, in forward 2025-09-07T07:35:03.2227190Z sorted_bucket_idx, undo_sorted_bucket_idx = self._get_sorted_bucket_idx_and_undo_sorted_bucket_idx( 2025-09-07T07:35:03.2227771Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 796, in _get_sorted_bucket_idx_and_undo_sorted_bucket_idx 2025-09-07T07:35:03.2228274Z sorted_bucket_idx = _stable_argsort(buckets, dim=-1) 2025-09-07T07:35:03.2228706Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 183, in _stable_argsort 2025-09-07T07:35:03.2229145Z return torch.argsort(scaled_vector, dim=dim) 2025-09-07T07:35:03.2229297Z 2025-09-07T07:35:03.2229379Z cudagraph partition due to non gpu ops 2025-09-07T07:35:03.2229592Z cudagraph partition due to non gpu ops 2025-09-07T07:35:03.2229825Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2230303Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2230787Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2231201Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2231599Z layer_outputs = layer( 2025-09-07T07:35:03.2231971Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2232360Z attn_outputs = self.attention( 2025-09-07T07:35:03.2232743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2233150Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2233576Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward 2025-09-07T07:35:03.2233996Z out_vectors, logits, attention_probs = self._attend( 2025-09-07T07:35:03.2234401Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 859, in _attend 2025-09-07T07:35:03.2234917Z key_value_bucket_idx = self._look_adjacent(query_bucket_idx, self.num_chunks_before, self.num_chunks_after) 2025-09-07T07:35:03.2235447Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent 2025-09-07T07:35:03.2235917Z slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2)) 2025-09-07T07:35:03.2236117Z 2025-09-07T07:35:03.2236203Z cudagraph partition due to non gpu ops 2025-09-07T07:35:03.2236411Z cudagraph partition due to non gpu ops 2025-09-07T07:35:03.2236641Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2237118Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2237598Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2238013Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2238383Z layer_outputs = layer( 2025-09-07T07:35:03.2238741Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2239125Z attn_outputs = self.attention( 2025-09-07T07:35:03.2239501Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2239891Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2240284Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward 2025-09-07T07:35:03.2240707Z out_vectors, logits, attention_probs = self._attend( 2025-09-07T07:35:03.2241107Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 859, in _attend 2025-09-07T07:35:03.2241602Z key_value_bucket_idx = self._look_adjacent(query_bucket_idx, self.num_chunks_before, self.num_chunks_after) 2025-09-07T07:35:03.2242104Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 400, in _look_adjacent 2025-09-07T07:35:03.2242499Z return torch.cat(slices, dim=3) 2025-09-07T07:35:03.2242627Z 2025-09-07T07:35:03.2242720Z cudagraph partition due to non gpu ops 2025-09-07T07:35:03.2242956Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2243444Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2243914Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2244333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2244734Z layer_outputs = layer( 2025-09-07T07:35:03.2245116Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2245620Z attn_outputs = self.attention( 2025-09-07T07:35:03.2246028Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2246452Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2246868Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 541, in forward 2025-09-07T07:35:03.2247313Z value_vectors = self.value(hidden_states) 2025-09-07T07:35:03.2247448Z 2025-09-07T07:35:03.2247557Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2248023Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2248496Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2248897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2249291Z layer_outputs = layer( 2025-09-07T07:35:03.2249645Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2250025Z attn_outputs = self.attention( 2025-09-07T07:35:03.2250401Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2250798Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2251191Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward 2025-09-07T07:35:03.2251609Z out_vectors, logits, attention_probs = self._attend( 2025-09-07T07:35:03.2252009Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 844, in _attend 2025-09-07T07:35:03.2252485Z key_vectors = self._look_adjacent(key_vectors, self.num_chunks_before, self.num_chunks_after) 2025-09-07T07:35:03.2252973Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent 2025-09-07T07:35:03.2253440Z slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2)) 2025-09-07T07:35:03.2253631Z 2025-09-07T07:35:03.2253711Z cudagraph partition due to non gpu ops 2025-09-07T07:35:03.2253946Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2254460Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2254929Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2255325Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2255698Z layer_outputs = layer( 2025-09-07T07:35:03.2256072Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2256474Z attn_outputs = self.attention( 2025-09-07T07:35:03.2256880Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2257289Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2257689Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward 2025-09-07T07:35:03.2258110Z out_vectors, logits, attention_probs = self._attend( 2025-09-07T07:35:03.2258527Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 844, in _attend 2025-09-07T07:35:03.2259016Z key_vectors = self._look_adjacent(key_vectors, self.num_chunks_before, self.num_chunks_after) 2025-09-07T07:35:03.2259524Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 400, in _look_adjacent 2025-09-07T07:35:03.2259931Z return torch.cat(slices, dim=3) 2025-09-07T07:35:03.2260068Z 2025-09-07T07:35:03.2260177Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2260716Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2261196Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2261605Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2261987Z layer_outputs = layer( 2025-09-07T07:35:03.2262358Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2262748Z attn_outputs = self.attention( 2025-09-07T07:35:03.2263133Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2263538Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2263943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 595, in forward 2025-09-07T07:35:03.2264465Z query_key_vectors = self._gather_by_expansion(query_key_vectors, sorted_bucket_idx_per_hash, num_hashes) 2025-09-07T07:35:03.2265025Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1099, in _gather_by_expansion 2025-09-07T07:35:03.2265496Z return torch.gather(vectors, 2, expanded_idxs) 2025-09-07T07:35:03.2265642Z 2025-09-07T07:35:03.2265751Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2266228Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2266700Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2267108Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2267495Z layer_outputs = layer( 2025-09-07T07:35:03.2267857Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2268261Z attn_outputs = self.attention( 2025-09-07T07:35:03.2268646Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2269060Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2269449Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward 2025-09-07T07:35:03.2269844Z out_vectors, logits, attention_probs = self._attend( 2025-09-07T07:35:03.2270243Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 849, in _attend 2025-09-07T07:35:03.2270721Z query_key_dots = torch.matmul(query_vectors, key_vectors.transpose(-1, -2)) 2025-09-07T07:35:03.2270917Z 2025-09-07T07:35:03.2271025Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2271498Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2271956Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2272357Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2272733Z layer_outputs = layer( 2025-09-07T07:35:03.2273094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2273480Z attn_outputs = self.attention( 2025-09-07T07:35:03.2273850Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2274252Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2274669Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward 2025-09-07T07:35:03.2275082Z out_vectors, logits, attention_probs = self._attend( 2025-09-07T07:35:03.2275491Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 845, in _attend 2025-09-07T07:35:03.2275992Z value_vectors = self._look_adjacent(value_vectors, self.num_chunks_before, self.num_chunks_after) 2025-09-07T07:35:03.2276489Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent 2025-09-07T07:35:03.2276948Z slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2)) 2025-09-07T07:35:03.2277139Z 2025-09-07T07:35:03.2277224Z cudagraph partition due to non gpu ops 2025-09-07T07:35:03.2277450Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2277912Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2278373Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2278765Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2279157Z layer_outputs = layer( 2025-09-07T07:35:03.2279521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2279904Z attn_outputs = self.attention( 2025-09-07T07:35:03.2280286Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2280695Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2281098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward 2025-09-07T07:35:03.2281504Z out_vectors, logits, attention_probs = self._attend( 2025-09-07T07:35:03.2281921Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 931, in _attend 2025-09-07T07:35:03.2282348Z out_vectors = torch.matmul(attention_probs, value_vectors) 2025-09-07T07:35:03.2282507Z 2025-09-07T07:35:03.2282615Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2283091Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2283561Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2283987Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2284380Z layer_outputs = layer( 2025-09-07T07:35:03.2284761Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2285166Z attn_outputs = self.attention( 2025-09-07T07:35:03.2285631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2286060Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2286477Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward 2025-09-07T07:35:03.2286917Z out_vectors, logits, attention_probs = self._attend( 2025-09-07T07:35:03.2287333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 931, in _attend 2025-09-07T07:35:03.2287762Z out_vectors = torch.matmul(attention_probs, value_vectors) 2025-09-07T07:35:03.2287934Z 2025-09-07T07:35:03.2288015Z cudagraph partition due to non gpu ops 2025-09-07T07:35:03.2288273Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2288760Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2289234Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2289633Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2290022Z layer_outputs = layer( 2025-09-07T07:35:03.2290393Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2290784Z attn_outputs = self.attention( 2025-09-07T07:35:03.2291161Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2291568Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2291971Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 692, in forward 2025-09-07T07:35:03.2292487Z out_vectors = self._merge_hidden_size_dims(out_vectors, self.num_attention_heads, self.attention_head_size) 2025-09-07T07:35:03.2293058Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 415, in _merge_hidden_size_dims 2025-09-07T07:35:03.2293558Z return torch.reshape(x, (x.size()[0], -1, num_attn_heads * attn_head_size)) 2025-09-07T07:35:03.2293747Z 2025-09-07T07:35:03.2293850Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2294337Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2294805Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2295205Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2295605Z layer_outputs = layer( 2025-09-07T07:35:03.2295965Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2296355Z attn_outputs = self.attention( 2025-09-07T07:35:03.2296740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1457, in forward 2025-09-07T07:35:03.2297192Z attention_output = self.output(self_attention_outputs.hidden_states) 2025-09-07T07:35:03.2297634Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1371, in forward 2025-09-07T07:35:03.2298056Z hidden_states = self.dense(hidden_states) 2025-09-07T07:35:03.2298196Z 2025-09-07T07:35:03.2298295Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2298763Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2299222Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2299606Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2299982Z layer_outputs = layer( 2025-09-07T07:35:03.2300341Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward 2025-09-07T07:35:03.2300767Z hidden_states = hidden_states + self.feed_forward(attn_output) 2025-09-07T07:35:03.2301190Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward 2025-09-07T07:35:03.2301568Z return apply_chunking_to_forward( 2025-09-07T07:35:03.2301959Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-09-07T07:35:03.2302336Z return forward_fn(*input_tensors) 2025-09-07T07:35:03.2302729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1518, in forward_chunk 2025-09-07T07:35:03.2303138Z hidden_states = self.dense(hidden_states) 2025-09-07T07:35:03.2303517Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1479, in forward 2025-09-07T07:35:03.2303906Z hidden_states = self.dense(hidden_states) 2025-09-07T07:35:03.2304043Z 2025-09-07T07:35:03.2304142Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2304608Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2305065Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2305504Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2305881Z layer_outputs = layer( 2025-09-07T07:35:03.2306236Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward 2025-09-07T07:35:03.2306676Z hidden_states = hidden_states + self.feed_forward(attn_output) 2025-09-07T07:35:03.2307094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward 2025-09-07T07:35:03.2307477Z return apply_chunking_to_forward( 2025-09-07T07:35:03.2307846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-09-07T07:35:03.2308216Z return forward_fn(*input_tensors) 2025-09-07T07:35:03.2308617Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1518, in forward_chunk 2025-09-07T07:35:03.2309038Z hidden_states = self.dense(hidden_states) 2025-09-07T07:35:03.2309422Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1481, in forward 2025-09-07T07:35:03.2309813Z hidden_states = self.act_fn(hidden_states) 2025-09-07T07:35:03.2309943Z 2025-09-07T07:35:03.2310053Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2310523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2310978Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2311406Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2311812Z layer_outputs = layer( 2025-09-07T07:35:03.2312203Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward 2025-09-07T07:35:03.2312659Z hidden_states = hidden_states + self.feed_forward(attn_output) 2025-09-07T07:35:03.2313096Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward 2025-09-07T07:35:03.2313508Z return apply_chunking_to_forward( 2025-09-07T07:35:03.2313873Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-09-07T07:35:03.2314242Z return forward_fn(*input_tensors) 2025-09-07T07:35:03.2314767Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1519, in forward_chunk 2025-09-07T07:35:03.2315153Z return self.output(hidden_states) 2025-09-07T07:35:03.2315560Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1493, in forward 2025-09-07T07:35:03.2315948Z hidden_states = self.dense(hidden_states) 2025-09-07T07:35:03.2316075Z 2025-09-07T07:35:03.2316177Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2316637Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2317086Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2317472Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2317840Z layer_outputs = layer( 2025-09-07T07:35:03.2318195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2318565Z attn_outputs = self.attention( 2025-09-07T07:35:03.2318937Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2319333Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2319733Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1198, in forward 2025-09-07T07:35:03.2320144Z query_vectors = self.query(hidden_states) 2025-09-07T07:35:03.2320273Z 2025-09-07T07:35:03.2320372Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2320836Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2321291Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2321686Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2322060Z layer_outputs = layer( 2025-09-07T07:35:03.2322411Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2322826Z attn_outputs = self.attention( 2025-09-07T07:35:03.2323203Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2323601Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2323999Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1199, in forward 2025-09-07T07:35:03.2324387Z key_vectors = self.key(hidden_states) 2025-09-07T07:35:03.2324524Z 2025-09-07T07:35:03.2324605Z cudagraph partition due to non gpu ops 2025-09-07T07:35:03.2324834Z cudagraph partition due to non gpu ops 2025-09-07T07:35:03.2325066Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2325601Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2326083Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2326481Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2326858Z layer_outputs = layer( 2025-09-07T07:35:03.2327216Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2327591Z attn_outputs = self.attention( 2025-09-07T07:35:03.2327964Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2328365Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2328764Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1265, in forward 2025-09-07T07:35:03.2329274Z key_vectors = self._look_adjacent(key_vectors, self.num_chunks_before, self.num_chunks_after) 2025-09-07T07:35:03.2329749Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent 2025-09-07T07:35:03.2330208Z slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2)) 2025-09-07T07:35:03.2330407Z 2025-09-07T07:35:03.2330482Z cudagraph partition due to non gpu ops 2025-09-07T07:35:03.2330684Z cudagraph partition due to non gpu ops 2025-09-07T07:35:03.2330906Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2331369Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2331827Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2332214Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2332589Z layer_outputs = layer( 2025-09-07T07:35:03.2332939Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2333340Z attn_outputs = self.attention( 2025-09-07T07:35:03.2333710Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2334109Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2334503Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1265, in forward 2025-09-07T07:35:03.2334976Z key_vectors = self._look_adjacent(key_vectors, self.num_chunks_before, self.num_chunks_after) 2025-09-07T07:35:03.2335469Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 400, in _look_adjacent 2025-09-07T07:35:03.2335872Z return torch.cat(slices, dim=3) 2025-09-07T07:35:03.2336016Z 2025-09-07T07:35:03.2336124Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2336589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2337042Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2337436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2337810Z layer_outputs = layer( 2025-09-07T07:35:03.2338185Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2338564Z attn_outputs = self.attention( 2025-09-07T07:35:03.2338931Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2339334Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2339738Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1272, in forward 2025-09-07T07:35:03.2340203Z query_key_dots = torch.matmul(query_vectors, key_vectors.transpose(-1, -2)) 2025-09-07T07:35:03.2340399Z 2025-09-07T07:35:03.2340507Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2341003Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2341473Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2341858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2342227Z layer_outputs = layer( 2025-09-07T07:35:03.2342591Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2342954Z attn_outputs = self.attention( 2025-09-07T07:35:03.2343318Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2343703Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2344083Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1272, in forward 2025-09-07T07:35:03.2344520Z query_key_dots = torch.matmul(query_vectors, key_vectors.transpose(-1, -2)) 2025-09-07T07:35:03.2344706Z 2025-09-07T07:35:03.2344801Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2345259Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2345705Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2346086Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2346452Z layer_outputs = layer( 2025-09-07T07:35:03.2346817Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2347187Z attn_outputs = self.attention( 2025-09-07T07:35:03.2347547Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2347932Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2348309Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1200, in forward 2025-09-07T07:35:03.2348687Z value_vectors = self.value(hidden_states) 2025-09-07T07:35:03.2348821Z 2025-09-07T07:35:03.2348897Z cudagraph partition due to non gpu ops 2025-09-07T07:35:03.2349111Z cudagraph partition due to non gpu ops 2025-09-07T07:35:03.2349329Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2349777Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2350240Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2350635Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2351001Z layer_outputs = layer( 2025-09-07T07:35:03.2351366Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2351737Z attn_outputs = self.attention( 2025-09-07T07:35:03.2352110Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2352503Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2352895Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1266, in forward 2025-09-07T07:35:03.2353371Z value_vectors = self._look_adjacent(value_vectors, self.num_chunks_before, self.num_chunks_after) 2025-09-07T07:35:03.2353865Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent 2025-09-07T07:35:03.2354327Z slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2)) 2025-09-07T07:35:03.2354526Z 2025-09-07T07:35:03.2354606Z cudagraph partition due to non gpu ops 2025-09-07T07:35:03.2354818Z cudagraph partition due to non gpu ops 2025-09-07T07:35:03.2355044Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2355539Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2356004Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2356398Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2356776Z layer_outputs = layer( 2025-09-07T07:35:03.2357128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2357505Z attn_outputs = self.attention( 2025-09-07T07:35:03.2357878Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2358281Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2358661Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1308, in forward 2025-09-07T07:35:03.2359072Z out_vectors = torch.matmul(attention_probs, value_vectors) 2025-09-07T07:35:03.2359235Z 2025-09-07T07:35:03.2359331Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2359802Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2360279Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2360674Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2361044Z layer_outputs = layer( 2025-09-07T07:35:03.2361408Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2361787Z attn_outputs = self.attention( 2025-09-07T07:35:03.2362161Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2362572Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2362955Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1308, in forward 2025-09-07T07:35:03.2363370Z out_vectors = torch.matmul(attention_probs, value_vectors) 2025-09-07T07:35:03.2363535Z 2025-09-07T07:35:03.2363632Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2364098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2364552Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2364945Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2365400Z layer_outputs = layer( 2025-09-07T07:35:03.2365790Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2366190Z attn_outputs = self.attention( 2025-09-07T07:35:03.2366584Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2367004Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2367398Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1324, in forward 2025-09-07T07:35:03.2367908Z out_vectors = self._merge_hidden_size_dims(out_vectors, self.num_attention_heads, self.attention_head_size) 2025-09-07T07:35:03.2368453Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 415, in _merge_hidden_size_dims 2025-09-07T07:35:03.2368978Z return torch.reshape(x, (x.size()[0], -1, num_attn_heads * attn_head_size)) 2025-09-07T07:35:03.2369182Z 2025-09-07T07:35:03.2369283Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2369782Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2370267Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2370682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2371071Z layer_outputs = layer( 2025-09-07T07:35:03.2371453Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2371862Z attn_outputs = self.attention( 2025-09-07T07:35:03.2372260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1457, in forward 2025-09-07T07:35:03.2372737Z attention_output = self.output(self_attention_outputs.hidden_states) 2025-09-07T07:35:03.2373196Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1371, in forward 2025-09-07T07:35:03.2373663Z hidden_states = self.dense(hidden_states) 2025-09-07T07:35:03.2373798Z 2025-09-07T07:35:03.2373894Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2374356Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2374821Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2375212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2375588Z layer_outputs = layer( 2025-09-07T07:35:03.2375953Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward 2025-09-07T07:35:03.2376395Z hidden_states = hidden_states + self.feed_forward(attn_output) 2025-09-07T07:35:03.2376815Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward 2025-09-07T07:35:03.2377204Z return apply_chunking_to_forward( 2025-09-07T07:35:03.2377568Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-09-07T07:35:03.2377929Z return forward_fn(*input_tensors) 2025-09-07T07:35:03.2378312Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1518, in forward_chunk 2025-09-07T07:35:03.2378729Z hidden_states = self.dense(hidden_states) 2025-09-07T07:35:03.2379112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1479, in forward 2025-09-07T07:35:03.2379502Z hidden_states = self.dense(hidden_states) 2025-09-07T07:35:03.2379639Z 2025-09-07T07:35:03.2379739Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2380218Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2380668Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2381044Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2381414Z layer_outputs = layer( 2025-09-07T07:35:03.2381766Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward 2025-09-07T07:35:03.2382177Z hidden_states = hidden_states + self.feed_forward(attn_output) 2025-09-07T07:35:03.2382598Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward 2025-09-07T07:35:03.2382974Z return apply_chunking_to_forward( 2025-09-07T07:35:03.2383332Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-09-07T07:35:03.2383690Z return forward_fn(*input_tensors) 2025-09-07T07:35:03.2384068Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1518, in forward_chunk 2025-09-07T07:35:03.2384458Z hidden_states = self.dense(hidden_states) 2025-09-07T07:35:03.2384833Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1481, in forward 2025-09-07T07:35:03.2385213Z hidden_states = self.act_fn(hidden_states) 2025-09-07T07:35:03.2385338Z 2025-09-07T07:35:03.2385440Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2385900Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2386336Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2386715Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2387094Z layer_outputs = layer( 2025-09-07T07:35:03.2387439Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward 2025-09-07T07:35:03.2387848Z hidden_states = hidden_states + self.feed_forward(attn_output) 2025-09-07T07:35:03.2388256Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward 2025-09-07T07:35:03.2388629Z return apply_chunking_to_forward( 2025-09-07T07:35:03.2388986Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-09-07T07:35:03.2389371Z return forward_fn(*input_tensors) 2025-09-07T07:35:03.2389757Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1519, in forward_chunk 2025-09-07T07:35:03.2390146Z return self.output(hidden_states) 2025-09-07T07:35:03.2390529Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1493, in forward 2025-09-07T07:35:03.2390930Z hidden_states = self.dense(hidden_states) 2025-09-07T07:35:03.2391060Z 2025-09-07T07:35:03.2391166Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2391641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2392090Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2392471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2392841Z layer_outputs = layer( 2025-09-07T07:35:03.2393193Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2393561Z attn_outputs = self.attention( 2025-09-07T07:35:03.2393937Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2394338Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2394730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 540, in forward 2025-09-07T07:35:03.2395131Z query_key_vectors = self.query_key(hidden_states) 2025-09-07T07:35:03.2395270Z 2025-09-07T07:35:03.2395369Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2395853Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2396313Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2396706Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2397084Z layer_outputs = layer( 2025-09-07T07:35:03.2397434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2397815Z attn_outputs = self.attention( 2025-09-07T07:35:03.2398190Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2398605Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2399025Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward 2025-09-07T07:35:03.2399492Z buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask) 2025-09-07T07:35:03.2399961Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 749, in _hash_vectors 2025-09-07T07:35:03.2400491Z random_rotations = torch.randn(rotations_shape, device=vectors.device, dtype=vectors.dtype) 2025-09-07T07:35:03.2400727Z 2025-09-07T07:35:03.2400834Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2401318Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2401783Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2402184Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2402578Z layer_outputs = layer( 2025-09-07T07:35:03.2402980Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2403372Z attn_outputs = self.attention( 2025-09-07T07:35:03.2403755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2404173Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2404589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward 2025-09-07T07:35:03.2405062Z buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask) 2025-09-07T07:35:03.2405627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 751, in _hash_vectors 2025-09-07T07:35:03.2406138Z rotated_vectors = torch.einsum("bmtd,mdhr->bmhtr", vectors, random_rotations) 2025-09-07T07:35:03.2406368Z 2025-09-07T07:35:03.2406477Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2406989Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2407455Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2407847Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2408223Z layer_outputs = layer( 2025-09-07T07:35:03.2408594Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2408991Z attn_outputs = self.attention( 2025-09-07T07:35:03.2409376Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2409794Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2410204Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward 2025-09-07T07:35:03.2410646Z buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask) 2025-09-07T07:35:03.2411106Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 754, in _hash_vectors 2025-09-07T07:35:03.2411569Z rotated_vectors = torch.cat([rotated_vectors, -rotated_vectors], dim=-1) 2025-09-07T07:35:03.2411755Z 2025-09-07T07:35:03.2411854Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2412330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2412792Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2413188Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2413570Z layer_outputs = layer( 2025-09-07T07:35:03.2413923Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2414332Z attn_outputs = self.attention( 2025-09-07T07:35:03.2414822Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2415235Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2415646Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward 2025-09-07T07:35:03.2416078Z buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask) 2025-09-07T07:35:03.2416539Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 755, in _hash_vectors 2025-09-07T07:35:03.2417011Z buckets = torch.argmax(rotated_vectors, dim=-1) 2025-09-07T07:35:03.2417158Z 2025-09-07T07:35:03.2417271Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2417760Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2418230Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2418642Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2419033Z layer_outputs = layer( 2025-09-07T07:35:03.2419434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2419830Z attn_outputs = self.attention( 2025-09-07T07:35:03.2420210Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2420616Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2421019Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 587, in forward 2025-09-07T07:35:03.2421519Z sorted_bucket_idx, undo_sorted_bucket_idx = self._get_sorted_bucket_idx_and_undo_sorted_bucket_idx( 2025-09-07T07:35:03.2422104Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 796, in _get_sorted_bucket_idx_and_undo_sorted_bucket_idx 2025-09-07T07:35:03.2422603Z sorted_bucket_idx = _stable_argsort(buckets, dim=-1) 2025-09-07T07:35:03.2423041Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 182, in _stable_argsort 2025-09-07T07:35:03.2423567Z scaled_vector = vector.shape[dim] * vector + (scale_offset % vector.shape[dim]) 2025-09-07T07:35:03.2423772Z 2025-09-07T07:35:03.2423860Z cudagraph partition due to non gpu ops 2025-09-07T07:35:03.2424095Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2424571Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2425046Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2425452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2425841Z layer_outputs = layer( 2025-09-07T07:35:03.2426206Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2426599Z attn_outputs = self.attention( 2025-09-07T07:35:03.2426988Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2427401Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2427809Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 587, in forward 2025-09-07T07:35:03.2428299Z sorted_bucket_idx, undo_sorted_bucket_idx = self._get_sorted_bucket_idx_and_undo_sorted_bucket_idx( 2025-09-07T07:35:03.2428850Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 796, in _get_sorted_bucket_idx_and_undo_sorted_bucket_idx 2025-09-07T07:35:03.2429330Z sorted_bucket_idx = _stable_argsort(buckets, dim=-1) 2025-09-07T07:35:03.2429743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 183, in _stable_argsort 2025-09-07T07:35:03.2430151Z return torch.argsort(scaled_vector, dim=dim) 2025-09-07T07:35:03.2430285Z 2025-09-07T07:35:03.2430363Z cudagraph partition due to non gpu ops 2025-09-07T07:35:03.2430586Z cudagraph partition due to non gpu ops 2025-09-07T07:35:03.2430807Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2431267Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2431722Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2432101Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2432471Z layer_outputs = layer( 2025-09-07T07:35:03.2432838Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2433208Z attn_outputs = self.attention( 2025-09-07T07:35:03.2433572Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2433952Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2434337Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward 2025-09-07T07:35:03.2434732Z out_vectors, logits, attention_probs = self._attend( 2025-09-07T07:35:03.2435122Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 859, in _attend 2025-09-07T07:35:03.2435607Z key_value_bucket_idx = self._look_adjacent(query_bucket_idx, self.num_chunks_before, self.num_chunks_after) 2025-09-07T07:35:03.2436100Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent 2025-09-07T07:35:03.2436554Z slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2)) 2025-09-07T07:35:03.2436748Z 2025-09-07T07:35:03.2436847Z cudagraph partition due to non gpu ops 2025-09-07T07:35:03.2437049Z cudagraph partition due to non gpu ops 2025-09-07T07:35:03.2437260Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2437718Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2438172Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2438559Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2438926Z layer_outputs = layer( 2025-09-07T07:35:03.2439270Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2439642Z attn_outputs = self.attention( 2025-09-07T07:35:03.2440008Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2440399Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2440790Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward 2025-09-07T07:35:03.2441204Z out_vectors, logits, attention_probs = self._attend( 2025-09-07T07:35:03.2441604Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 859, in _attend 2025-09-07T07:35:03.2442103Z key_value_bucket_idx = self._look_adjacent(query_bucket_idx, self.num_chunks_before, self.num_chunks_after) 2025-09-07T07:35:03.2442611Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 400, in _look_adjacent 2025-09-07T07:35:03.2443010Z return torch.cat(slices, dim=3) 2025-09-07T07:35:03.2443132Z 2025-09-07T07:35:03.2443207Z cudagraph partition due to non gpu ops 2025-09-07T07:35:03.2443436Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2443927Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2444392Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2444783Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2445154Z layer_outputs = layer( 2025-09-07T07:35:03.2445579Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2445966Z attn_outputs = self.attention( 2025-09-07T07:35:03.2446392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2446832Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2447226Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 541, in forward 2025-09-07T07:35:03.2447618Z value_vectors = self.value(hidden_states) 2025-09-07T07:35:03.2447749Z 2025-09-07T07:35:03.2447859Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2448332Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2448785Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2449184Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2449565Z layer_outputs = layer( 2025-09-07T07:35:03.2449927Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2450325Z attn_outputs = self.attention( 2025-09-07T07:35:03.2450694Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2451093Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2451488Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward 2025-09-07T07:35:03.2451891Z out_vectors, logits, attention_probs = self._attend( 2025-09-07T07:35:03.2452294Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 844, in _attend 2025-09-07T07:35:03.2452764Z key_vectors = self._look_adjacent(key_vectors, self.num_chunks_before, self.num_chunks_after) 2025-09-07T07:35:03.2453258Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent 2025-09-07T07:35:03.2453724Z slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2)) 2025-09-07T07:35:03.2453917Z 2025-09-07T07:35:03.2454001Z cudagraph partition due to non gpu ops 2025-09-07T07:35:03.2454228Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2454694Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2455176Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2455565Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2455938Z layer_outputs = layer( 2025-09-07T07:35:03.2456332Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2456702Z attn_outputs = self.attention( 2025-09-07T07:35:03.2457078Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2457490Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2457879Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward 2025-09-07T07:35:03.2458282Z out_vectors, logits, attention_probs = self._attend( 2025-09-07T07:35:03.2458671Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 844, in _attend 2025-09-07T07:35:03.2459144Z key_vectors = self._look_adjacent(key_vectors, self.num_chunks_before, self.num_chunks_after) 2025-09-07T07:35:03.2459648Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 400, in _look_adjacent 2025-09-07T07:35:03.2460046Z return torch.cat(slices, dim=3) 2025-09-07T07:35:03.2460169Z 2025-09-07T07:35:03.2460274Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2460774Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2461240Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2461640Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2462006Z layer_outputs = layer( 2025-09-07T07:35:03.2462349Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2462721Z attn_outputs = self.attention( 2025-09-07T07:35:03.2463087Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2463476Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2463876Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 595, in forward 2025-09-07T07:35:03.2464357Z query_key_vectors = self._gather_by_expansion(query_key_vectors, sorted_bucket_idx_per_hash, num_hashes) 2025-09-07T07:35:03.2464879Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1099, in _gather_by_expansion 2025-09-07T07:35:03.2465305Z return torch.gather(vectors, 2, expanded_idxs) 2025-09-07T07:35:03.2465442Z 2025-09-07T07:35:03.2465546Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2466006Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2466449Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2466836Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2467204Z layer_outputs = layer( 2025-09-07T07:35:03.2467553Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2467950Z attn_outputs = self.attention( 2025-09-07T07:35:03.2468306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2468692Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2469074Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward 2025-09-07T07:35:03.2469470Z out_vectors, logits, attention_probs = self._attend( 2025-09-07T07:35:03.2469861Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 849, in _attend 2025-09-07T07:35:03.2470295Z query_key_dots = torch.matmul(query_vectors, key_vectors.transpose(-1, -2)) 2025-09-07T07:35:03.2470504Z 2025-09-07T07:35:03.2470601Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2471060Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2471514Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2471896Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2472257Z layer_outputs = layer( 2025-09-07T07:35:03.2472660Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2473035Z attn_outputs = self.attention( 2025-09-07T07:35:03.2473401Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2473788Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2474164Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward 2025-09-07T07:35:03.2474558Z out_vectors, logits, attention_probs = self._attend( 2025-09-07T07:35:03.2474955Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 845, in _attend 2025-09-07T07:35:03.2475441Z value_vectors = self._look_adjacent(value_vectors, self.num_chunks_before, self.num_chunks_after) 2025-09-07T07:35:03.2475947Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent 2025-09-07T07:35:03.2476391Z slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2)) 2025-09-07T07:35:03.2476587Z 2025-09-07T07:35:03.2476680Z cudagraph partition due to non gpu ops 2025-09-07T07:35:03.2476788Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2477108Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2477201Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2477461Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2477529Z layer_outputs = layer( 2025-09-07T07:35:03.2477789Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2477861Z attn_outputs = self.attention( 2025-09-07T07:35:03.2478116Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2478217Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2478467Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward 2025-09-07T07:35:03.2478574Z out_vectors, logits, attention_probs = self._attend( 2025-09-07T07:35:03.2478838Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 931, in _attend 2025-09-07T07:35:03.2478956Z out_vectors = torch.matmul(attention_probs, value_vectors) 2025-09-07T07:35:03.2478960Z 2025-09-07T07:35:03.2479061Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2479385Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2479479Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2479735Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2479823Z layer_outputs = layer( 2025-09-07T07:35:03.2480080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2480158Z attn_outputs = self.attention( 2025-09-07T07:35:03.2480416Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2480501Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2480760Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward 2025-09-07T07:35:03.2480857Z out_vectors, logits, attention_probs = self._attend( 2025-09-07T07:35:03.2481134Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 931, in _attend 2025-09-07T07:35:03.2481247Z out_vectors = torch.matmul(attention_probs, value_vectors) 2025-09-07T07:35:03.2481251Z 2025-09-07T07:35:03.2481329Z cudagraph partition due to non gpu ops 2025-09-07T07:35:03.2481435Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2481752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2481847Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2482099Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2482171Z layer_outputs = layer( 2025-09-07T07:35:03.2482426Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2482497Z attn_outputs = self.attention( 2025-09-07T07:35:03.2482775Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2482865Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2483126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 692, in forward 2025-09-07T07:35:03.2483325Z out_vectors = self._merge_hidden_size_dims(out_vectors, self.num_attention_heads, self.attention_head_size) 2025-09-07T07:35:03.2483620Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 415, in _merge_hidden_size_dims 2025-09-07T07:35:03.2483763Z return torch.reshape(x, (x.size()[0], -1, num_attn_heads * attn_head_size)) 2025-09-07T07:35:03.2483767Z 2025-09-07T07:35:03.2483868Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2484202Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2484290Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2484558Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2484625Z layer_outputs = layer( 2025-09-07T07:35:03.2484903Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2484985Z attn_outputs = self.attention( 2025-09-07T07:35:03.2485242Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1457, in forward 2025-09-07T07:35:03.2485451Z attention_output = self.output(self_attention_outputs.hidden_states) 2025-09-07T07:35:03.2485718Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1371, in forward 2025-09-07T07:35:03.2485811Z hidden_states = self.dense(hidden_states) 2025-09-07T07:35:03.2485815Z 2025-09-07T07:35:03.2485937Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2486264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2486371Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2486622Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2486696Z layer_outputs = layer( 2025-09-07T07:35:03.2486989Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1601, in forward 2025-09-07T07:35:03.2487101Z attn_output = prev_attn_output + attn_output 2025-09-07T07:35:03.2487112Z 2025-09-07T07:35:03.2487213Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2487546Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2487643Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2487904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2487979Z layer_outputs = layer( 2025-09-07T07:35:03.2488239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward 2025-09-07T07:35:03.2488360Z hidden_states = hidden_states + self.feed_forward(attn_output) 2025-09-07T07:35:03.2488631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward 2025-09-07T07:35:03.2488708Z return apply_chunking_to_forward( 2025-09-07T07:35:03.2488994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-09-07T07:35:03.2489071Z return forward_fn(*input_tensors) 2025-09-07T07:35:03.2489349Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1518, in forward_chunk 2025-09-07T07:35:03.2489432Z hidden_states = self.dense(hidden_states) 2025-09-07T07:35:03.2489685Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1479, in forward 2025-09-07T07:35:03.2489771Z hidden_states = self.dense(hidden_states) 2025-09-07T07:35:03.2489775Z 2025-09-07T07:35:03.2489874Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2490202Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2490286Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2490542Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2490615Z layer_outputs = layer( 2025-09-07T07:35:03.2490867Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward 2025-09-07T07:35:03.2491006Z hidden_states = hidden_states + self.feed_forward(attn_output) 2025-09-07T07:35:03.2491260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward 2025-09-07T07:35:03.2491338Z return apply_chunking_to_forward( 2025-09-07T07:35:03.2491584Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-09-07T07:35:03.2491656Z return forward_fn(*input_tensors) 2025-09-07T07:35:03.2491933Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1518, in forward_chunk 2025-09-07T07:35:03.2492026Z hidden_states = self.dense(hidden_states) 2025-09-07T07:35:03.2492282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1481, in forward 2025-09-07T07:35:03.2492366Z hidden_states = self.act_fn(hidden_states) 2025-09-07T07:35:03.2492369Z 2025-09-07T07:35:03.2492466Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2492789Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2492872Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2493144Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2493210Z layer_outputs = layer( 2025-09-07T07:35:03.2493466Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward 2025-09-07T07:35:03.2493580Z hidden_states = hidden_states + self.feed_forward(attn_output) 2025-09-07T07:35:03.2493831Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward 2025-09-07T07:35:03.2493910Z return apply_chunking_to_forward( 2025-09-07T07:35:03.2494152Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-09-07T07:35:03.2494228Z return forward_fn(*input_tensors) 2025-09-07T07:35:03.2494494Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1519, in forward_chunk 2025-09-07T07:35:03.2494568Z return self.output(hidden_states) 2025-09-07T07:35:03.2494838Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1493, in forward 2025-09-07T07:35:03.2494919Z hidden_states = self.dense(hidden_states) 2025-09-07T07:35:03.2494924Z 2025-09-07T07:35:03.2495027Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2495343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2495436Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2495686Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2495751Z layer_outputs = layer( 2025-09-07T07:35:03.2496053Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward 2025-09-07T07:35:03.2496165Z hidden_states = hidden_states + self.feed_forward(attn_output) 2025-09-07T07:35:03.2496169Z 2025-09-07T07:35:03.2496272Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2496590Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2496681Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2496949Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2497014Z layer_outputs = layer( 2025-09-07T07:35:03.2497270Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2497342Z attn_outputs = self.attention( 2025-09-07T07:35:03.2497600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2497690Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2497941Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1198, in forward 2025-09-07T07:35:03.2498053Z query_vectors = self.query(hidden_states) 2025-09-07T07:35:03.2498057Z 2025-09-07T07:35:03.2498152Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2498477Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2498561Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2498821Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2498886Z layer_outputs = layer( 2025-09-07T07:35:03.2499155Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2499237Z attn_outputs = self.attention( 2025-09-07T07:35:03.2499488Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2499584Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2499833Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1199, in forward 2025-09-07T07:35:03.2499918Z key_vectors = self.key(hidden_states) 2025-09-07T07:35:03.2499921Z 2025-09-07T07:35:03.2499996Z cudagraph partition due to non gpu ops 2025-09-07T07:35:03.2500071Z cudagraph partition due to non gpu ops 2025-09-07T07:35:03.2500176Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2500492Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2500593Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2500849Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2500916Z layer_outputs = layer( 2025-09-07T07:35:03.2501170Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2501240Z attn_outputs = self.attention( 2025-09-07T07:35:03.2501489Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2501574Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2501820Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1265, in forward 2025-09-07T07:35:03.2501994Z key_vectors = self._look_adjacent(key_vectors, self.num_chunks_before, self.num_chunks_after) 2025-09-07T07:35:03.2502255Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent 2025-09-07T07:35:03.2502398Z slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2)) 2025-09-07T07:35:03.2502401Z 2025-09-07T07:35:03.2502474Z cudagraph partition due to non gpu ops 2025-09-07T07:35:03.2502568Z cudagraph partition due to non gpu ops 2025-09-07T07:35:03.2502663Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2502968Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2503059Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2503305Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2503376Z layer_outputs = layer( 2025-09-07T07:35:03.2503621Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2503712Z attn_outputs = self.attention( 2025-09-07T07:35:03.2503961Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2504049Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2504313Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1265, in forward 2025-09-07T07:35:03.2504482Z key_vectors = self._look_adjacent(key_vectors, self.num_chunks_before, self.num_chunks_after) 2025-09-07T07:35:03.2504779Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 400, in _look_adjacent 2025-09-07T07:35:03.2504853Z return torch.cat(slices, dim=3) 2025-09-07T07:35:03.2504857Z 2025-09-07T07:35:03.2504955Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2505279Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2505377Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2505633Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2505697Z layer_outputs = layer( 2025-09-07T07:35:03.2505950Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2506017Z attn_outputs = self.attention( 2025-09-07T07:35:03.2506263Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2506358Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2506620Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1272, in forward 2025-09-07T07:35:03.2506767Z query_key_dots = torch.matmul(query_vectors, key_vectors.transpose(-1, -2)) 2025-09-07T07:35:03.2506770Z 2025-09-07T07:35:03.2506865Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2507183Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2507266Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2507509Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2507579Z layer_outputs = layer( 2025-09-07T07:35:03.2507825Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2507902Z attn_outputs = self.attention( 2025-09-07T07:35:03.2508147Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2508234Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2508487Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1272, in forward 2025-09-07T07:35:03.2508635Z query_key_dots = torch.matmul(query_vectors, key_vectors.transpose(-1, -2)) 2025-09-07T07:35:03.2508639Z 2025-09-07T07:35:03.2508739Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2509046Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2509136Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2509383Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2509464Z layer_outputs = layer( 2025-09-07T07:35:03.2509722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2509791Z attn_outputs = self.attention( 2025-09-07T07:35:03.2510059Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2510143Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2510388Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1200, in forward 2025-09-07T07:35:03.2510472Z value_vectors = self.value(hidden_states) 2025-09-07T07:35:03.2511232Z 2025-09-07T07:35:03.2511319Z cudagraph partition due to non gpu ops 2025-09-07T07:35:03.2511401Z cudagraph partition due to non gpu ops 2025-09-07T07:35:03.2511498Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2511818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2511901Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2512150Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2512222Z layer_outputs = layer( 2025-09-07T07:35:03.2512469Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2512547Z attn_outputs = self.attention( 2025-09-07T07:35:03.2512794Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2512878Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2513151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1266, in forward 2025-09-07T07:35:03.2513333Z value_vectors = self._look_adjacent(value_vectors, self.num_chunks_before, self.num_chunks_after) 2025-09-07T07:35:03.2513611Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent 2025-09-07T07:35:03.2513749Z slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2)) 2025-09-07T07:35:03.2513753Z 2025-09-07T07:35:03.2513834Z cudagraph partition due to non gpu ops 2025-09-07T07:35:03.2513908Z cudagraph partition due to non gpu ops 2025-09-07T07:35:03.2514006Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2514334Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2514519Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2514783Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2514849Z layer_outputs = layer( 2025-09-07T07:35:03.2515102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2515221Z attn_outputs = self.attention( 2025-09-07T07:35:03.2515478Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2515577Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2515835Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1308, in forward 2025-09-07T07:35:03.2515967Z out_vectors = torch.matmul(attention_probs, value_vectors) 2025-09-07T07:35:03.2515971Z 2025-09-07T07:35:03.2516067Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2516415Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2516506Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2516765Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2516837Z layer_outputs = layer( 2025-09-07T07:35:03.2517097Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2517179Z attn_outputs = self.attention( 2025-09-07T07:35:03.2517461Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2517551Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2517818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1308, in forward 2025-09-07T07:35:03.2517933Z out_vectors = torch.matmul(attention_probs, value_vectors) 2025-09-07T07:35:03.2517937Z 2025-09-07T07:35:03.2518044Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2518363Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2518452Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2518718Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2518785Z layer_outputs = layer( 2025-09-07T07:35:03.2519047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2519139Z attn_outputs = self.attention( 2025-09-07T07:35:03.2519407Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2519495Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2519751Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1324, in forward 2025-09-07T07:35:03.2519958Z out_vectors = self._merge_hidden_size_dims(out_vectors, self.num_attention_heads, self.attention_head_size) 2025-09-07T07:35:03.2520265Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 415, in _merge_hidden_size_dims 2025-09-07T07:35:03.2520414Z return torch.reshape(x, (x.size()[0], -1, num_attn_heads * attn_head_size)) 2025-09-07T07:35:03.2520418Z 2025-09-07T07:35:03.2520519Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2520859Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2520950Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2521218Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2521319Z layer_outputs = layer( 2025-09-07T07:35:03.2521587Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2521672Z attn_outputs = self.attention( 2025-09-07T07:35:03.2521941Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1457, in forward 2025-09-07T07:35:03.2522084Z attention_output = self.output(self_attention_outputs.hidden_states) 2025-09-07T07:35:03.2522362Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1371, in forward 2025-09-07T07:35:03.2522461Z hidden_states = self.dense(hidden_states) 2025-09-07T07:35:03.2522465Z 2025-09-07T07:35:03.2522575Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2522911Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2523005Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2523272Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2523340Z layer_outputs = layer( 2025-09-07T07:35:03.2523629Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward 2025-09-07T07:35:03.2523751Z hidden_states = hidden_states + self.feed_forward(attn_output) 2025-09-07T07:35:03.2524024Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward 2025-09-07T07:35:03.2524105Z return apply_chunking_to_forward( 2025-09-07T07:35:03.2524368Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-09-07T07:35:03.2524445Z return forward_fn(*input_tensors) 2025-09-07T07:35:03.2524729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1518, in forward_chunk 2025-09-07T07:35:03.2524820Z hidden_states = self.dense(hidden_states) 2025-09-07T07:35:03.2525087Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1479, in forward 2025-09-07T07:35:03.2525175Z hidden_states = self.dense(hidden_states) 2025-09-07T07:35:03.2525178Z 2025-09-07T07:35:03.2525343Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2525694Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2525789Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2526049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2526122Z layer_outputs = layer( 2025-09-07T07:35:03.2526376Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward 2025-09-07T07:35:03.2526500Z hidden_states = hidden_states + self.feed_forward(attn_output) 2025-09-07T07:35:03.2526758Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward 2025-09-07T07:35:03.2526831Z return apply_chunking_to_forward( 2025-09-07T07:35:03.2527087Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-09-07T07:35:03.2527162Z return forward_fn(*input_tensors) 2025-09-07T07:35:03.2527445Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1518, in forward_chunk 2025-09-07T07:35:03.2527545Z hidden_states = self.dense(hidden_states) 2025-09-07T07:35:03.2527804Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1481, in forward 2025-09-07T07:35:03.2527895Z hidden_states = self.act_fn(hidden_states) 2025-09-07T07:35:03.2527898Z 2025-09-07T07:35:03.2527998Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2528334Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2528423Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2528687Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2528772Z layer_outputs = layer( 2025-09-07T07:35:03.2529034Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward 2025-09-07T07:35:03.2529162Z hidden_states = hidden_states + self.feed_forward(attn_output) 2025-09-07T07:35:03.2529422Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward 2025-09-07T07:35:03.2529504Z return apply_chunking_to_forward( 2025-09-07T07:35:03.2529776Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-09-07T07:35:03.2529851Z return forward_fn(*input_tensors) 2025-09-07T07:35:03.2530136Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1519, in forward_chunk 2025-09-07T07:35:03.2530211Z return self.output(hidden_states) 2025-09-07T07:35:03.2530475Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1493, in forward 2025-09-07T07:35:03.2530557Z hidden_states = self.dense(hidden_states) 2025-09-07T07:35:03.2530561Z 2025-09-07T07:35:03.2530667Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2531000Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2531085Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2531343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2531408Z layer_outputs = layer( 2025-09-07T07:35:03.2531681Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2531755Z attn_outputs = self.attention( 2025-09-07T07:35:03.2532011Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2532100Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2532356Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 540, in forward 2025-09-07T07:35:03.2532452Z query_key_vectors = self.query_key(hidden_states) 2025-09-07T07:35:03.2532456Z 2025-09-07T07:35:03.2532557Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2532887Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2532972Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2533223Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2533294Z layer_outputs = layer( 2025-09-07T07:35:03.2533559Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2533636Z attn_outputs = self.attention( 2025-09-07T07:35:03.2533884Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2533977Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2534226Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward 2025-09-07T07:35:03.2534364Z buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask) 2025-09-07T07:35:03.2534638Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 749, in _hash_vectors 2025-09-07T07:35:03.2534835Z random_rotations = torch.randn(rotations_shape, device=vectors.device, dtype=vectors.dtype) 2025-09-07T07:35:03.2534839Z 2025-09-07T07:35:03.2534941Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2535268Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2535360Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2535619Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2535702Z layer_outputs = layer( 2025-09-07T07:35:03.2535968Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2536040Z attn_outputs = self.attention( 2025-09-07T07:35:03.2536312Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2536400Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2536648Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward 2025-09-07T07:35:03.2536788Z buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask) 2025-09-07T07:35:03.2537050Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 751, in _hash_vectors 2025-09-07T07:35:03.2537204Z rotated_vectors = torch.einsum("bmtd,mdhr->bmhtr", vectors, random_rotations) 2025-09-07T07:35:03.2537207Z 2025-09-07T07:35:03.2537307Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2537649Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2537740Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2537998Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2538073Z layer_outputs = layer( 2025-09-07T07:35:03.2538334Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2538413Z attn_outputs = self.attention( 2025-09-07T07:35:03.2538672Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2538767Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2539026Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward 2025-09-07T07:35:03.2539164Z buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask) 2025-09-07T07:35:03.2539451Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 754, in _hash_vectors 2025-09-07T07:35:03.2539606Z rotated_vectors = torch.cat([rotated_vectors, -rotated_vectors], dim=-1) 2025-09-07T07:35:03.2539610Z 2025-09-07T07:35:03.2539716Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2540040Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2540135Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2540395Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2540463Z layer_outputs = layer( 2025-09-07T07:35:03.2540728Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2540817Z attn_outputs = self.attention( 2025-09-07T07:35:03.2541078Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2541167Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2541422Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward 2025-09-07T07:35:03.2541564Z buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask) 2025-09-07T07:35:03.2541848Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 755, in _hash_vectors 2025-09-07T07:35:03.2541949Z buckets = torch.argmax(rotated_vectors, dim=-1) 2025-09-07T07:35:03.2541955Z 2025-09-07T07:35:03.2542053Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2542386Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2542475Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2542731Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2542805Z layer_outputs = layer( 2025-09-07T07:35:03.2543060Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2543139Z attn_outputs = self.attention( 2025-09-07T07:35:03.2543398Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2543525Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2543788Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 587, in forward 2025-09-07T07:35:03.2543972Z sorted_bucket_idx, undo_sorted_bucket_idx = self._get_sorted_bucket_idx_and_undo_sorted_bucket_idx( 2025-09-07T07:35:03.2544326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 796, in _get_sorted_bucket_idx_and_undo_sorted_bucket_idx 2025-09-07T07:35:03.2544429Z sorted_bucket_idx = _stable_argsort(buckets, dim=-1) 2025-09-07T07:35:03.2544733Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 182, in _stable_argsort 2025-09-07T07:35:03.2544884Z scaled_vector = vector.shape[dim] * vector + (scale_offset % vector.shape[dim]) 2025-09-07T07:35:03.2544888Z 2025-09-07T07:35:03.2544968Z cudagraph partition due to non gpu ops 2025-09-07T07:35:03.2545075Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2545399Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2545496Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2545780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2545855Z layer_outputs = layer( 2025-09-07T07:35:03.2546115Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2546185Z attn_outputs = self.attention( 2025-09-07T07:35:03.2546451Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2546541Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2546816Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 587, in forward 2025-09-07T07:35:03.2547012Z sorted_bucket_idx, undo_sorted_bucket_idx = self._get_sorted_bucket_idx_and_undo_sorted_bucket_idx( 2025-09-07T07:35:03.2547349Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 796, in _get_sorted_bucket_idx_and_undo_sorted_bucket_idx 2025-09-07T07:35:03.2547456Z sorted_bucket_idx = _stable_argsort(buckets, dim=-1) 2025-09-07T07:35:03.2547728Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 183, in _stable_argsort 2025-09-07T07:35:03.2547825Z return torch.argsort(scaled_vector, dim=dim) 2025-09-07T07:35:03.2547843Z 2025-09-07T07:35:03.2547922Z cudagraph partition due to non gpu ops 2025-09-07T07:35:03.2548005Z cudagraph partition due to non gpu ops 2025-09-07T07:35:03.2548104Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2548424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2548520Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2548775Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2548844Z layer_outputs = layer( 2025-09-07T07:35:03.2549097Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2549166Z attn_outputs = self.attention( 2025-09-07T07:35:03.2549425Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2549511Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2549789Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward 2025-09-07T07:35:03.2549889Z out_vectors, logits, attention_probs = self._attend( 2025-09-07T07:35:03.2550147Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 859, in _attend 2025-09-07T07:35:03.2550342Z key_value_bucket_idx = self._look_adjacent(query_bucket_idx, self.num_chunks_before, self.num_chunks_after) 2025-09-07T07:35:03.2550609Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent 2025-09-07T07:35:03.2550756Z slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2)) 2025-09-07T07:35:03.2550760Z 2025-09-07T07:35:03.2550837Z cudagraph partition due to non gpu ops 2025-09-07T07:35:03.2550917Z cudagraph partition due to non gpu ops 2025-09-07T07:35:03.2551016Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2551341Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2551428Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2551695Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2551769Z layer_outputs = layer( 2025-09-07T07:35:03.2552019Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2552096Z attn_outputs = self.attention( 2025-09-07T07:35:03.2552347Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2552433Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2552690Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward 2025-09-07T07:35:03.2552806Z out_vectors, logits, attention_probs = self._attend( 2025-09-07T07:35:03.2553060Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 859, in _attend 2025-09-07T07:35:03.2553253Z key_value_bucket_idx = self._look_adjacent(query_bucket_idx, self.num_chunks_before, self.num_chunks_after) 2025-09-07T07:35:03.2553522Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 400, in _look_adjacent 2025-09-07T07:35:03.2553592Z return torch.cat(slices, dim=3) 2025-09-07T07:35:03.2553596Z 2025-09-07T07:35:03.2553669Z cudagraph partition due to non gpu ops 2025-09-07T07:35:03.2553789Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2554107Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2554200Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2554450Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2554515Z layer_outputs = layer( 2025-09-07T07:35:03.2554771Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2554839Z attn_outputs = self.attention( 2025-09-07T07:35:03.2555096Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2555182Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2555434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 541, in forward 2025-09-07T07:35:03.2555527Z value_vectors = self.value(hidden_states) 2025-09-07T07:35:03.2555532Z 2025-09-07T07:35:03.2555629Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2555952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2556041Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2556300Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2556366Z layer_outputs = layer( 2025-09-07T07:35:03.2556623Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2556693Z attn_outputs = self.attention( 2025-09-07T07:35:03.2556947Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2557042Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2557293Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward 2025-09-07T07:35:03.2557398Z out_vectors, logits, attention_probs = self._attend( 2025-09-07T07:35:03.2557668Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 844, in _attend 2025-09-07T07:35:03.2557836Z key_vectors = self._look_adjacent(key_vectors, self.num_chunks_before, self.num_chunks_after) 2025-09-07T07:35:03.2558115Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent 2025-09-07T07:35:03.2558255Z slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2)) 2025-09-07T07:35:03.2558259Z 2025-09-07T07:35:03.2558342Z cudagraph partition due to non gpu ops 2025-09-07T07:35:03.2558438Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2558777Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2558863Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2559114Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2559187Z layer_outputs = layer( 2025-09-07T07:35:03.2559435Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2559513Z attn_outputs = self.attention( 2025-09-07T07:35:03.2559780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2559870Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2560129Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward 2025-09-07T07:35:03.2560225Z out_vectors, logits, attention_probs = self._attend( 2025-09-07T07:35:03.2560479Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 844, in _attend 2025-09-07T07:35:03.2560646Z key_vectors = self._look_adjacent(key_vectors, self.num_chunks_before, self.num_chunks_after) 2025-09-07T07:35:03.2560921Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 400, in _look_adjacent 2025-09-07T07:35:03.2560994Z return torch.cat(slices, dim=3) 2025-09-07T07:35:03.2560997Z 2025-09-07T07:35:03.2561096Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2561434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2561522Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2561779Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2561845Z layer_outputs = layer( 2025-09-07T07:35:03.2562108Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2562177Z attn_outputs = self.attention( 2025-09-07T07:35:03.2562438Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2562536Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2562794Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 595, in forward 2025-09-07T07:35:03.2563000Z query_key_vectors = self._gather_by_expansion(query_key_vectors, sorted_bucket_idx_per_hash, num_hashes) 2025-09-07T07:35:03.2563303Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1099, in _gather_by_expansion 2025-09-07T07:35:03.2563396Z return torch.gather(vectors, 2, expanded_idxs) 2025-09-07T07:35:03.2563420Z 2025-09-07T07:35:03.2563520Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2563847Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2563943Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2564207Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2564283Z layer_outputs = layer( 2025-09-07T07:35:03.2564551Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2564640Z attn_outputs = self.attention( 2025-09-07T07:35:03.2564912Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2565005Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2565335Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward 2025-09-07T07:35:03.2565449Z out_vectors, logits, attention_probs = self._attend( 2025-09-07T07:35:03.2565723Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 849, in _attend 2025-09-07T07:35:03.2565901Z query_key_dots = torch.matmul(query_vectors, key_vectors.transpose(-1, -2)) 2025-09-07T07:35:03.2565905Z 2025-09-07T07:35:03.2566016Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2566380Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2566478Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2566757Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2566826Z layer_outputs = layer( 2025-09-07T07:35:03.2567082Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2567164Z attn_outputs = self.attention( 2025-09-07T07:35:03.2567422Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2567520Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2567796Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward 2025-09-07T07:35:03.2567903Z out_vectors, logits, attention_probs = self._attend( 2025-09-07T07:35:03.2568158Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 845, in _attend 2025-09-07T07:35:03.2568343Z value_vectors = self._look_adjacent(value_vectors, self.num_chunks_before, self.num_chunks_after) 2025-09-07T07:35:03.2568627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent 2025-09-07T07:35:03.2568767Z slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2)) 2025-09-07T07:35:03.2568771Z 2025-09-07T07:35:03.2568860Z cudagraph partition due to non gpu ops 2025-09-07T07:35:03.2568959Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2569292Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2569381Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2569642Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2569737Z layer_outputs = layer( 2025-09-07T07:35:03.2570001Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2570078Z attn_outputs = self.attention( 2025-09-07T07:35:03.2570341Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2570430Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2570700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward 2025-09-07T07:35:03.2570800Z out_vectors, logits, attention_probs = self._attend( 2025-09-07T07:35:03.2571100Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 931, in _attend 2025-09-07T07:35:03.2571212Z out_vectors = torch.matmul(attention_probs, value_vectors) 2025-09-07T07:35:03.2571217Z 2025-09-07T07:35:03.2571321Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2571643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2571731Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2572009Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2572076Z layer_outputs = layer( 2025-09-07T07:35:03.2572343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2572414Z attn_outputs = self.attention( 2025-09-07T07:35:03.2572674Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2572769Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2573025Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward 2025-09-07T07:35:03.2573128Z out_vectors, logits, attention_probs = self._attend( 2025-09-07T07:35:03.2573384Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 931, in _attend 2025-09-07T07:35:03.2573504Z out_vectors = torch.matmul(attention_probs, value_vectors) 2025-09-07T07:35:03.2573508Z 2025-09-07T07:35:03.2573585Z cudagraph partition due to non gpu ops 2025-09-07T07:35:03.2573698Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2574033Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2574119Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2574390Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2574457Z layer_outputs = layer( 2025-09-07T07:35:03.2574716Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2574793Z attn_outputs = self.attention( 2025-09-07T07:35:03.2575051Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-09-07T07:35:03.2575145Z self_attention_outputs = self.self_attention( 2025-09-07T07:35:03.2575402Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 692, in forward 2025-09-07T07:35:03.2575610Z out_vectors = self._merge_hidden_size_dims(out_vectors, self.num_attention_heads, self.attention_head_size) 2025-09-07T07:35:03.2575932Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 415, in _merge_hidden_size_dims 2025-09-07T07:35:03.2576072Z return torch.reshape(x, (x.size()[0], -1, num_attn_heads * attn_head_size)) 2025-09-07T07:35:03.2576083Z 2025-09-07T07:35:03.2576183Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2576512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2576608Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2576867Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2576957Z layer_outputs = layer( 2025-09-07T07:35:03.2577217Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-09-07T07:35:03.2577291Z attn_outputs = self.attention( 2025-09-07T07:35:03.2577559Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1457, in forward 2025-09-07T07:35:03.2577699Z attention_output = self.output(self_attention_outputs.hidden_states) 2025-09-07T07:35:03.2577978Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1371, in forward 2025-09-07T07:35:03.2578077Z hidden_states = self.dense(hidden_states) 2025-09-07T07:35:03.2578081Z 2025-09-07T07:35:03.2578188Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2578502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2578590Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2578857Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2578923Z layer_outputs = layer( 2025-09-07T07:35:03.2579175Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward 2025-09-07T07:35:03.2579289Z hidden_states = hidden_states + self.feed_forward(attn_output) 2025-09-07T07:35:03.2579534Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward 2025-09-07T07:35:03.2579616Z return apply_chunking_to_forward( 2025-09-07T07:35:03.2579875Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-09-07T07:35:03.2579956Z return forward_fn(*input_tensors) 2025-09-07T07:35:03.2580216Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1518, in forward_chunk 2025-09-07T07:35:03.2580304Z hidden_states = self.dense(hidden_states) 2025-09-07T07:35:03.2580549Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1479, in forward 2025-09-07T07:35:03.2580629Z hidden_states = self.dense(hidden_states) 2025-09-07T07:35:03.2580632Z 2025-09-07T07:35:03.2580734Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2581043Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2581134Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2581381Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2581446Z layer_outputs = layer( 2025-09-07T07:35:03.2581699Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward 2025-09-07T07:35:03.2581834Z hidden_states = hidden_states + self.feed_forward(attn_output) 2025-09-07T07:35:03.2582085Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward 2025-09-07T07:35:03.2582156Z return apply_chunking_to_forward( 2025-09-07T07:35:03.2582403Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-09-07T07:35:03.2582472Z return forward_fn(*input_tensors) 2025-09-07T07:35:03.2582733Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1518, in forward_chunk 2025-09-07T07:35:03.2582834Z hidden_states = self.dense(hidden_states) 2025-09-07T07:35:03.2583081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1481, in forward 2025-09-07T07:35:03.2583172Z hidden_states = self.act_fn(hidden_states) 2025-09-07T07:35:03.2583175Z 2025-09-07T07:35:03.2583271Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2583590Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2583675Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2583946Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2584018Z layer_outputs = layer( 2025-09-07T07:35:03.2584262Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward 2025-09-07T07:35:03.2584380Z hidden_states = hidden_states + self.feed_forward(attn_output) 2025-09-07T07:35:03.2584626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward 2025-09-07T07:35:03.2584697Z return apply_chunking_to_forward( 2025-09-07T07:35:03.2584940Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-09-07T07:35:03.2585010Z return forward_fn(*input_tensors) 2025-09-07T07:35:03.2585277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1519, in forward_chunk 2025-09-07T07:35:03.2585347Z return self.output(hidden_states) 2025-09-07T07:35:03.2585615Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1493, in forward 2025-09-07T07:35:03.2585694Z hidden_states = self.dense(hidden_states) 2025-09-07T07:35:03.2585699Z 2025-09-07T07:35:03.2585794Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2586108Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2586190Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2586440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-09-07T07:35:03.2586502Z layer_outputs = layer( 2025-09-07T07:35:03.2586750Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward 2025-09-07T07:35:03.2586868Z hidden_states = hidden_states + self.feed_forward(attn_output) 2025-09-07T07:35:03.2586871Z 2025-09-07T07:35:03.2586966Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:03.2587281Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837 2025-09-07T07:35:03.2587361Z hidden_states = _ReversibleFunction.apply( 2025-09-07T07:35:03.2587626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1753, in forward 2025-09-07T07:35:03.2587729Z return torch.cat([attn_output, hidden_states], dim=-1) 2025-09-07T07:35:03.2587732Z 2025-09-07T07:35:06.6566914Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:35:06.6567584Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 2495, in torch_dynamo_resume_in_forward_at_2481 2025-09-07T07:35:06.6568078Z logits = self.lm_head(sequence_output) 2025-09-07T07:35:06.6568510Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1886, in forward 2025-09-07T07:35:06.6569371Z return apply_chunking_to_forward(self.forward_chunk, self.chunk_size_lm_head, self.seq_len_dim, hidden_states) 2025-09-07T07:35:06.6569889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-09-07T07:35:06.6570293Z return forward_fn(*input_tensors) 2025-09-07T07:35:06.6570701Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1889, in forward_chunk 2025-09-07T07:35:06.6571118Z hidden_states = self.decoder(hidden_states) 2025-09-07T07:35:06.6571262Z 2025-09-07T07:35:06.9117326Z Compilation time (from dynamo_timed): 21.26501851 2025-09-07T07:35:06.9118011Z pass 2025-09-07T07:35:06.9118424Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:35:06.9119316Z TIMING: gc:0.01159 entire_frame_compile:21.26502 _recursive_pre_grad_passes:0.01329 _recursive_joint_graph_passes:0.33364 _recursive_post_grad_passes:0.06853 async_compile.wait:2.95422 code_gen:6.41411 inductor_compile:8.46811 backend_compile:10.40304 total_wall_time:21.26502 2025-09-07T07:35:06.9120284Z STATS: call_* op count: 481 | FakeTensorMode.__torch_dispatch__:12345 | ProxyTorchDispatchMode.__torch_dispatch__:4316 | FakeTensor.__torch_dispatch__:3863 | attempt fast:1 | fast is_contiguous:1 2025-09-07T07:35:06.9120839Z Dynamo produced 7 graphs covering 481 ops with 8 graph breaks (4 unique) 2025-09-07T07:35:09.0097052Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T07:35:09.0098065Z import pynvml # type: ignore[import] 2025-09-07T07:35:10.9801915Z 2025-09-07T07:35:11.6124575Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:35:11.6124825Z 2025-09-07T07:35:11.6167311Z config.json: 0% 0.00/615 [00:00> $GITHUB_ENV 2025-09-07T07:40:56.0687005Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV 2025-09-07T07:40:56.0695134Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:40:56.0695381Z env: 2025-09-07T07:40:56.0695543Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:40:56.0695841Z DOCKER_CONTAINER_ID: cf65f5c8b8a3299d2e8266398840c9df6d545a199d8c89c84814e64c14c562bf 2025-09-07T07:40:56.0696141Z ##[endgroup] 2025-09-07T07:40:56.0724816Z + [[ -n '' ]] 2025-09-07T07:40:56.0725109Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-09-07T07:40:56.2440897Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T07:40:56.9898148Z Collecting boto3==1.35.33 2025-09-07T07:40:57.0031544Z Downloading boto3-1.35.33-py3-none-any.whl (139 kB) 2025-09-07T07:40:57.2209397Z Collecting psutil==7.0.0 2025-09-07T07:40:57.2241798Z Downloading psutil-7.0.0-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (277 kB) 2025-09-07T07:40:57.2465186Z Collecting pynvml==12.0.0 2025-09-07T07:40:57.2499163Z Downloading pynvml-12.0.0-py3-none-any.whl (26 kB) 2025-09-07T07:40:57.2816314Z Collecting s3transfer<0.11.0,>=0.10.0 2025-09-07T07:40:57.2845688Z Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB) 2025-09-07T07:40:57.2891039Z Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /usr/lib/python3.9/site-packages (from boto3==1.35.33) (0.10.0) 2025-09-07T07:40:58.0573622Z Collecting botocore<1.36.0,>=1.35.33 2025-09-07T07:40:58.0607567Z Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB) 2025-09-07T07:40:58.1817742Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0 2025-09-07T07:40:58.1859647Z Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB) 2025-09-07T07:40:58.1936938Z Requirement already satisfied: python-dateutil<3.0.0,>=2.1 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (2.8.1) 2025-09-07T07:40:58.1946724Z Requirement already satisfied: urllib3<1.27,>=1.25.4 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (1.25.10) 2025-09-07T07:40:58.2994905Z Requirement already satisfied: six>=1.5 in /usr/lib/python3.9/site-packages (from python-dateutil<3.0.0,>=2.1->botocore<1.36.0,>=1.35.33->boto3==1.35.33) (1.15.0) 2025-09-07T07:40:58.3994154Z Installing collected packages: botocore, s3transfer, nvidia-ml-py, pynvml, psutil, boto3 2025-09-07T07:40:58.7371038Z Attempting uninstall: nvidia-ml-py 2025-09-07T07:40:58.7372661Z Found existing installation: nvidia-ml-py 11.525.84 2025-09-07T07:40:58.7380632Z Uninstalling nvidia-ml-py-11.525.84: 2025-09-07T07:40:58.7500704Z Successfully uninstalled nvidia-ml-py-11.525.84 2025-09-07T07:40:58.7994173Z Attempting uninstall: psutil 2025-09-07T07:40:58.7994734Z Found existing installation: psutil 5.9.8 2025-09-07T07:40:58.8040304Z Uninstalling psutil-5.9.8: 2025-09-07T07:40:58.8042112Z Successfully uninstalled psutil-5.9.8 2025-09-07T07:40:58.9314147Z Successfully installed boto3-1.35.33 botocore-1.35.99 nvidia-ml-py-12.575.51 psutil-7.0.0 pynvml-12.0.0 s3transfer-0.10.4 2025-09-07T07:40:59.0390608Z + DEVICE_NAME= 2025-09-07T07:40:59.0394645Z + DEVICE_TYPE= 2025-09-07T07:40:59.0394868Z + command -v nvidia-smi 2025-09-07T07:40:59.0398367Z + command -v rocminfo 2025-09-07T07:40:59.0398565Z + echo DEVICE_NAME= 2025-09-07T07:40:59.0398809Z + echo DEVICE_TYPE= 2025-09-07T07:40:59.0419915Z ##[group]Run set -eux 2025-09-07T07:40:59.0420117Z set -eux 2025-09-07T07:40:59.0420324Z  2025-09-07T07:40:59.0420490Z if [[ -z "${GITHUB_TOKEN}" ]]; then 2025-09-07T07:40:59.0420714Z  echo "Missing github-token input" 2025-09-07T07:40:59.0420911Z  exit 1 2025-09-07T07:40:59.0421061Z fi 2025-09-07T07:40:59.0427280Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:40:59.0427523Z env: 2025-09-07T07:40:59.0427682Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:40:59.0427969Z DOCKER_CONTAINER_ID: cf65f5c8b8a3299d2e8266398840c9df6d545a199d8c89c84814e64c14c562bf 2025-09-07T07:40:59.0428269Z DEVICE_NAME: 2025-09-07T07:40:59.0428418Z DEVICE_TYPE: 2025-09-07T07:40:59.0428807Z GITHUB_TOKEN: *** 2025-09-07T07:40:59.0428969Z ##[endgroup] 2025-09-07T07:40:59.0455791Z + [[ -z *** ]] 2025-09-07T07:40:59.0491205Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main 2025-09-07T07:40:59.0491487Z with: 2025-09-07T07:40:59.0491770Z github-token: *** 2025-09-07T07:40:59.0491947Z env: 2025-09-07T07:40:59.0492118Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:40:59.0492414Z DOCKER_CONTAINER_ID: cf65f5c8b8a3299d2e8266398840c9df6d545a199d8c89c84814e64c14c562bf 2025-09-07T07:40:59.0492732Z DEVICE_NAME: 2025-09-07T07:40:59.0492901Z DEVICE_TYPE: 2025-09-07T07:40:59.0493065Z ##[endgroup] 2025-09-07T07:40:59.0508311Z ##[group]Run set -eux 2025-09-07T07:40:59.0508513Z set -eux 2025-09-07T07:40:59.0508679Z  2025-09-07T07:40:59.0508991Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-09-07T07:40:59.0513289Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:40:59.0513550Z env: 2025-09-07T07:40:59.0513716Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:40:59.0514020Z DOCKER_CONTAINER_ID: cf65f5c8b8a3299d2e8266398840c9df6d545a199d8c89c84814e64c14c562bf 2025-09-07T07:40:59.0514332Z DEVICE_NAME: 2025-09-07T07:40:59.0514801Z DEVICE_TYPE: 2025-09-07T07:40:59.0515138Z GITHUB_TOKEN: *** 2025-09-07T07:40:59.0515459Z ##[endgroup] 2025-09-07T07:40:59.0542633Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 17524754606 i-04f70f15c9cb3402f 2025-09-07T07:41:00.1597806Z setting job-id=49774397872 2025-09-07T07:41:00.1599955Z setting job-name=inductor-cpu-test / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx) 2025-09-07T07:41:00.1701919Z ##[group]Run set -eux 2025-09-07T07:41:00.1702124Z set -eux 2025-09-07T07:41:00.1702304Z  2025-09-07T07:41:00.1702451Z if [[ -n "" ]]; then 2025-09-07T07:41:00.1702633Z  source "" 2025-09-07T07:41:00.1702870Z fi 2025-09-07T07:41:00.1703016Z  2025-09-07T07:41:00.1703262Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \ 2025-09-07T07:41:00.1703584Z  --schema-version "${SCHEMA_VERSION}" \ 2025-09-07T07:41:00.1703873Z  --repo "${REPO}" \ 2025-09-07T07:41:00.1704084Z  --head-branch "${HEAD_BRANCH}" \ 2025-09-07T07:41:00.1704298Z  --head-sha "${HEAD_SHA}" \ 2025-09-07T07:41:00.1704509Z  --workflow-id "${WORKFLOW_RUN_ID}" \ 2025-09-07T07:41:00.1704734Z  --run-attempt "${RUN_ATTEMPT}" \ 2025-09-07T07:41:00.1704943Z  --job-id "${JOB_ID}" \ 2025-09-07T07:41:00.1705140Z  --job-name "${JOB_NAME}" 2025-09-07T07:41:00.1709417Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:41:00.1709652Z env: 2025-09-07T07:41:00.1709802Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:41:00.1710092Z DOCKER_CONTAINER_ID: cf65f5c8b8a3299d2e8266398840c9df6d545a199d8c89c84814e64c14c562bf 2025-09-07T07:41:00.1710375Z DEVICE_NAME: 2025-09-07T07:41:00.1710526Z DEVICE_TYPE: 2025-09-07T07:41:00.1710675Z SCHEMA_VERSION: v3 2025-09-07T07:41:00.1710836Z REPO: pytorch/pytorch 2025-09-07T07:41:00.1710998Z HEAD_BRANCH: refs/heads/main 2025-09-07T07:41:00.1711212Z HEAD_SHA: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:41:00.1711424Z WORKFLOW_RUN_ID: 17524754606 2025-09-07T07:41:00.1711593Z RUN_ATTEMPT: 1 2025-09-07T07:41:00.1711739Z JOB_ID: 49774397872 2025-09-07T07:41:00.1712015Z JOB_NAME: inductor-cpu-test / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx) 2025-09-07T07:41:00.1712308Z ##[endgroup] 2025-09-07T07:41:00.1739350Z + [[ -n '' ]] 2025-09-07T07:41:00.1744687Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_metadata.py --schema-version v3 --repo pytorch/pytorch --head-branch refs/heads/main --head-sha 93fb23d6fae7c4e82c4239a1033e522088742634 --workflow-id 17524754606 --run-attempt 1 --job-id 49774397872 --job-name 'inductor-cpu-test / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)' 2025-09-07T07:41:00.2005598Z ##[group]Run set -eux 2025-09-07T07:41:00.2005803Z set -eux 2025-09-07T07:41:00.2005966Z  2025-09-07T07:41:00.2006140Z if [[ -n "" ]]; then 2025-09-07T07:41:00.2006325Z  source "" 2025-09-07T07:41:00.2006488Z fi 2025-09-07T07:41:00.2006631Z  2025-09-07T07:41:00.2006894Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py" 2025-09-07T07:41:00.2011174Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:41:00.2011404Z env: 2025-09-07T07:41:00.2011552Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:41:00.2011828Z DOCKER_CONTAINER_ID: cf65f5c8b8a3299d2e8266398840c9df6d545a199d8c89c84814e64c14c562bf 2025-09-07T07:41:00.2012125Z DEVICE_NAME: 2025-09-07T07:41:00.2012291Z DEVICE_TYPE: 2025-09-07T07:41:00.2012437Z ##[endgroup] 2025-09-07T07:41:00.2034644Z + [[ -n '' ]] 2025-09-07T07:41:00.2035336Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py 2025-09-07T07:41:00.2341620Z INFO:root:Fail to import torch to get the device name 2025-09-07T07:41:00.2444851Z ##[group]Run set -eux 2025-09-07T07:41:00.2445045Z set -eux 2025-09-07T07:41:00.2445387Z  2025-09-07T07:41:00.2445569Z # TODO (huydhn): Implement this part 2025-09-07T07:41:00.2445835Z echo "dependencies={}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:41:00.2451162Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:41:00.2451403Z env: 2025-09-07T07:41:00.2451552Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:41:00.2451840Z DOCKER_CONTAINER_ID: cf65f5c8b8a3299d2e8266398840c9df6d545a199d8c89c84814e64c14c562bf 2025-09-07T07:41:00.2452139Z DEVICE_NAME: 2025-09-07T07:41:00.2452373Z DEVICE_TYPE: 2025-09-07T07:41:00.2452530Z ##[endgroup] 2025-09-07T07:41:00.2473389Z + echo 'dependencies={}' 2025-09-07T07:41:00.2497453Z ##[group]Run set -eux 2025-09-07T07:41:00.2497665Z set -eux 2025-09-07T07:41:00.2497808Z  2025-09-07T07:41:00.2498036Z if [[ -n "" ]]; then 2025-09-07T07:41:00.2498221Z  source "" 2025-09-07T07:41:00.2498374Z fi 2025-09-07T07:41:00.2498507Z  2025-09-07T07:41:00.2498684Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then 2025-09-07T07:41:00.2498952Z  echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping" 2025-09-07T07:41:00.2499239Z  # We don't want the job to fail if the directory doesn't exist 2025-09-07T07:41:00.2499469Z  exit 0 2025-09-07T07:41:00.2499610Z fi 2025-09-07T07:41:00.2499750Z  2025-09-07T07:41:00.2499906Z if [[ "${DRY_RUN}" == "true" ]]; then 2025-09-07T07:41:00.2500185Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-09-07T07:41:00.2500507Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-09-07T07:41:00.2500756Z  --metadata "${BENCHMARK_METADATA}" \ 2025-09-07T07:41:00.2500969Z  --runners "${RUNNER_INFO}" \ 2025-09-07T07:41:00.2501184Z  --dependencies "${DEPENDENCIES}" \ 2025-09-07T07:41:00.2501379Z  --dry-run 2025-09-07T07:41:00.2501540Z else 2025-09-07T07:41:00.2501766Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-09-07T07:41:00.2502071Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-09-07T07:41:00.2502311Z  --metadata "${BENCHMARK_METADATA}" \ 2025-09-07T07:41:00.2502510Z  --runners "${RUNNER_INFO}" \ 2025-09-07T07:41:00.2502714Z  --dependencies "${DEPENDENCIES}" 2025-09-07T07:41:00.2502911Z fi 2025-09-07T07:41:00.2506499Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:41:00.2506730Z env: 2025-09-07T07:41:00.2506885Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:41:00.2507166Z DOCKER_CONTAINER_ID: cf65f5c8b8a3299d2e8266398840c9df6d545a199d8c89c84814e64c14c562bf 2025-09-07T07:41:00.2507448Z DEVICE_NAME: 2025-09-07T07:41:00.2507602Z DEVICE_TYPE: 2025-09-07T07:41:00.2507783Z BENCHMARK_RESULTS_DIR: test/test-reports 2025-09-07T07:41:00.2507988Z DRY_RUN: false 2025-09-07T07:41:00.2508726Z BENCHMARK_METADATA: {"timestamp": 1757230860, "schema_version": "v3", "name": "inductor-cpu-test / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "93fb23d6fae7c4e82c4239a1033e522088742634", "workflow_id": 17524754606, "run_attempt": 1, "job_id": 49774397872} 2025-09-07T07:41:00.2509648Z RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 32, "avail_mem_in_gb": 123, "extra_info": {"hostname": "ip-10-0-37-81.ec2.internal"}, "name": "", "type": ""}] 2025-09-07T07:41:00.2510000Z DEPENDENCIES: {} 2025-09-07T07:41:00.2510162Z ##[endgroup] 2025-09-07T07:41:00.2529843Z + [[ -n '' ]] 2025-09-07T07:41:00.2530224Z + [[ ! -d test/test-reports ]] 2025-09-07T07:41:00.2530544Z + [[ false == \t\r\u\e ]] 2025-09-07T07:41:00.2532495Z + 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": 1757230860, "schema_version": "v3", "name": "inductor-cpu-test / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "93fb23d6fae7c4e82c4239a1033e522088742634", "workflow_id": 17524754606, "run_attempt": 1, "job_id": 49774397872}' --runners '[{"cpu_info": "x86_64", "cpu_count": 32, "avail_mem_in_gb": 123, "extra_info": {"hostname": "ip-10-0-37-81.ec2.internal"}, "name": "", "type": ""}]' --dependencies '{}' 2025-09-07T07:41:00.3663663Z INFO:root:Upload test/test-reports/inference_torchbench.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17524754606/49774397872/inference_torchbench.json 2025-09-07T07:41:00.3924726Z INFO:botocore.credentials:Found credentials from IAM Role: gh-ci-github-action-runners-runner-role 2025-09-07T07:41:00.5980918Z ##[group]Run cat test/**/*_toprint.log || true 2025-09-07T07:41:00.5981192Z cat test/**/*_toprint.log || true 2025-09-07T07:41:00.5985717Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:41:00.5985949Z env: 2025-09-07T07:41:00.5986102Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:41:00.5986381Z DOCKER_CONTAINER_ID: cf65f5c8b8a3299d2e8266398840c9df6d545a199d8c89c84814e64c14c562bf 2025-09-07T07:41:00.5986669Z DEVICE_NAME: 2025-09-07T07:41:00.5986829Z DEVICE_TYPE: 2025-09-07T07:41:00.5986992Z ##[endgroup] 2025-09-07T07:41:00.6056281Z cat: 'test/**/*_toprint.log': No such file or directory 2025-09-07T07:41:00.6081179Z ##[group]Run kill "$MONITOR_SCRIPT_PID" 2025-09-07T07:41:00.6081437Z kill "$MONITOR_SCRIPT_PID" 2025-09-07T07:41:00.6085419Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:41:00.6085675Z env: 2025-09-07T07:41:00.6085847Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:41:00.6086173Z DOCKER_CONTAINER_ID: cf65f5c8b8a3299d2e8266398840c9df6d545a199d8c89c84814e64c14c562bf 2025-09-07T07:41:00.6086468Z DEVICE_NAME: 2025-09-07T07:41:00.6086627Z DEVICE_TYPE: 2025-09-07T07:41:00.6086793Z MONITOR_SCRIPT_PID: 48122 2025-09-07T07:41:00.6086977Z ##[endgroup] 2025-09-07T07:41:00.6180283Z Prepare all required actions 2025-09-07T07:41:00.6180729Z Getting action download info 2025-09-07T07:41:00.7646955Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-09-07T07:41:00.9711854Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02) 2025-09-07T07:41:01.3311425Z ##[group]Run ./.github/actions/upload-test-artifacts 2025-09-07T07:41:01.3311688Z with: 2025-09-07T07:41:01.3311963Z file-suffix: test-dynamic_cpu_inductor_torchbench-1-2-linux.8xlarge.amx_49774397872 2025-09-07T07:41:01.3312272Z s3-bucket: gha-artifacts 2025-09-07T07:41:01.3312456Z env: 2025-09-07T07:41:01.3312617Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:41:01.3312932Z DOCKER_CONTAINER_ID: cf65f5c8b8a3299d2e8266398840c9df6d545a199d8c89c84814e64c14c562bf 2025-09-07T07:41:01.3313253Z DEVICE_NAME: 2025-09-07T07:41:01.3313429Z DEVICE_TYPE: 2025-09-07T07:41:01.3313602Z ##[endgroup] 2025-09-07T07:41:01.3338974Z ##[group]Run # Remove any previous test jsons if they exist 2025-09-07T07:41:01.3339312Z # Remove any previous test jsons if they exist 2025-09-07T07:41:01.3339570Z rm -f test-jsons-*.zip 2025-09-07T07:41:01.3339865Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json' 2025-09-07T07:41:01.3345321Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:41:01.3345571Z env: 2025-09-07T07:41:01.3345725Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:41:01.3346022Z DOCKER_CONTAINER_ID: cf65f5c8b8a3299d2e8266398840c9df6d545a199d8c89c84814e64c14c562bf 2025-09-07T07:41:01.3346332Z DEVICE_NAME: 2025-09-07T07:41:01.3346498Z DEVICE_TYPE: 2025-09-07T07:41:01.3346774Z FILE_SUFFIX: test-dynamic_cpu_inductor_torchbench-1-2-linux.8xlarge.amx_49774397872 2025-09-07T07:41:01.3347064Z ##[endgroup] 2025-09-07T07:41:01.3510224Z adding: test/test-reports/inference_torchbench.json (deflated 99%) 2025-09-07T07:41:01.3535873Z ##[group]Run # Remove any previous test reports if they exist 2025-09-07T07:41:01.3536181Z # Remove any previous test reports if they exist 2025-09-07T07:41:01.3536419Z rm -f test-reports-*.zip 2025-09-07T07:41:01.3536704Z zip -r "test-reports-${FILE_SUFFIX}.zip" test/test-reports -i '*.xml' -i '*.csv' 2025-09-07T07:41:01.3541118Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:41:01.3541353Z env: 2025-09-07T07:41:01.3541583Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:41:01.3541869Z DOCKER_CONTAINER_ID: cf65f5c8b8a3299d2e8266398840c9df6d545a199d8c89c84814e64c14c562bf 2025-09-07T07:41:01.3542161Z DEVICE_NAME: 2025-09-07T07:41:01.3542321Z DEVICE_TYPE: 2025-09-07T07:41:01.3542583Z FILE_SUFFIX: test-dynamic_cpu_inductor_torchbench-1-2-linux.8xlarge.amx_49774397872 2025-09-07T07:41:01.3542928Z ##[endgroup] 2025-09-07T07:41:01.3591668Z adding: test/test-reports/inference_torchbench.csv (deflated 60%) 2025-09-07T07:41:01.3597071Z adding: test/test-reports/inference_torchbench_graph_breaks.csv (deflated 94%) 2025-09-07T07:41:01.3597504Z adding: test/test-reports/inference_torchbench_graph_break_deduped.csv (deflated 80%) 2025-09-07T07:41:01.3626797Z ##[group]Run # Remove any previous usage logs if they exist 2025-09-07T07:41:01.3627103Z # Remove any previous usage logs if they exist 2025-09-07T07:41:01.3627342Z rm -f logs-*.zip 2025-09-07T07:41:01.3627567Z zip "logs-${FILE_SUFFIX}.zip" 'usage_log.txt' || true 2025-09-07T07:41:01.3627879Z zip -r "logs-${FILE_SUFFIX}.zip" test/test-reports -i '*.log' || true 2025-09-07T07:41:01.3631657Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:41:01.3631887Z env: 2025-09-07T07:41:01.3632049Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:41:01.3632322Z DOCKER_CONTAINER_ID: cf65f5c8b8a3299d2e8266398840c9df6d545a199d8c89c84814e64c14c562bf 2025-09-07T07:41:01.3632618Z DEVICE_NAME: 2025-09-07T07:41:01.3632778Z DEVICE_TYPE: 2025-09-07T07:41:01.3633179Z FILE_SUFFIX: test-dynamic_cpu_inductor_torchbench-1-2-linux.8xlarge.amx_49774397872 2025-09-07T07:41:01.3633472Z ##[endgroup] 2025-09-07T07:41:01.3709093Z adding: usage_log.txt (deflated 97%) 2025-09-07T07:41:01.3722088Z 2025-09-07T07:41:01.3722589Z zip error: Nothing to do! (logs-test-dynamic_cpu_inductor_torchbench-1-2-linux.8xlarge.amx_49774397872.zip) 2025-09-07T07:41:01.3745904Z ##[group]Run # Remove any previous debugging artifacts if they exist 2025-09-07T07:41:01.3746240Z # Remove any previous debugging artifacts if they exist 2025-09-07T07:41:01.3746521Z rm -f debug-*.zip 2025-09-07T07:41:01.3746709Z if [ -d 'test/debug' ]; then 2025-09-07T07:41:01.3746926Z  zip -r "debug-${FILE_SUFFIX}.zip" test/debug 2025-09-07T07:41:01.3747140Z fi 2025-09-07T07:41:01.3750848Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:41:01.3751080Z env: 2025-09-07T07:41:01.3751224Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:41:01.3751517Z DOCKER_CONTAINER_ID: cf65f5c8b8a3299d2e8266398840c9df6d545a199d8c89c84814e64c14c562bf 2025-09-07T07:41:01.3751814Z DEVICE_NAME: 2025-09-07T07:41:01.3751970Z DEVICE_TYPE: 2025-09-07T07:41:01.3752224Z FILE_SUFFIX: test-dynamic_cpu_inductor_torchbench-1-2-linux.8xlarge.amx_49774397872 2025-09-07T07:41:01.3752513Z ##[endgroup] 2025-09-07T07:41:01.3822813Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T07:41:01.3823024Z with: 2025-09-07T07:41:01.3823186Z s3-bucket: gha-artifacts 2025-09-07T07:41:01.3823385Z s3-prefix: pytorch/pytorch/17524754606/1/artifact 2025-09-07T07:41:01.3823598Z retention-days: 14 2025-09-07T07:41:01.3823763Z if-no-files-found: warn 2025-09-07T07:41:01.3823936Z path: test-jsons-*.zip 2025-09-07T07:41:01.3824094Z name: artifact 2025-09-07T07:41:01.3824244Z region: us-east-1 2025-09-07T07:41:01.3824391Z env: 2025-09-07T07:41:01.3824532Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:41:01.3824804Z DOCKER_CONTAINER_ID: cf65f5c8b8a3299d2e8266398840c9df6d545a199d8c89c84814e64c14c562bf 2025-09-07T07:41:01.3825081Z DEVICE_NAME: 2025-09-07T07:41:01.3825227Z DEVICE_TYPE: 2025-09-07T07:41:01.3825369Z ##[endgroup] 2025-09-07T07:41:01.6399564Z NOTE: s3-prefix specified, ignoring name parameter 2025-09-07T07:41:01.6404347Z With the provided path, there will be 1 file uploaded 2025-09-07T07:41:01.6406402Z Uploading to s3 prefix: pytorch/pytorch/17524754606/1/artifact 2025-09-07T07:41:01.6432276Z Starting upload of test-jsons-test-dynamic_cpu_inductor_torchbench-1-2-linux.8xlarge.amx_49774397872.zip 2025-09-07T07:41:01.7670116Z Finished upload of test-jsons-test-dynamic_cpu_inductor_torchbench-1-2-linux.8xlarge.amx_49774397872.zip 2025-09-07T07:41:01.7815608Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T07:41:01.7815912Z with: 2025-09-07T07:41:01.7816076Z s3-bucket: gha-artifacts 2025-09-07T07:41:01.7816289Z s3-prefix: pytorch/pytorch/17524754606/1/artifact 2025-09-07T07:41:01.7816508Z retention-days: 14 2025-09-07T07:41:01.7816672Z if-no-files-found: error 2025-09-07T07:41:01.7816870Z path: test-reports-*.zip 2025-09-07T07:41:01.7817045Z name: artifact 2025-09-07T07:41:01.7817201Z region: us-east-1 2025-09-07T07:41:01.7817351Z env: 2025-09-07T07:41:01.7817498Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:41:01.7817779Z DOCKER_CONTAINER_ID: cf65f5c8b8a3299d2e8266398840c9df6d545a199d8c89c84814e64c14c562bf 2025-09-07T07:41:01.7818072Z DEVICE_NAME: 2025-09-07T07:41:01.7818215Z DEVICE_TYPE: 2025-09-07T07:41:01.7818372Z ##[endgroup] 2025-09-07T07:41:02.0280009Z NOTE: s3-prefix specified, ignoring name parameter 2025-09-07T07:41:02.0280519Z With the provided path, there will be 1 file uploaded 2025-09-07T07:41:02.0280934Z Uploading to s3 prefix: pytorch/pytorch/17524754606/1/artifact 2025-09-07T07:41:02.0312701Z Starting upload of test-reports-test-dynamic_cpu_inductor_torchbench-1-2-linux.8xlarge.amx_49774397872.zip 2025-09-07T07:41:02.1381586Z Finished upload of test-reports-test-dynamic_cpu_inductor_torchbench-1-2-linux.8xlarge.amx_49774397872.zip 2025-09-07T07:41:02.1548916Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T07:41:02.1549144Z with: 2025-09-07T07:41:02.1549307Z s3-bucket: gha-artifacts 2025-09-07T07:41:02.1549522Z s3-prefix: pytorch/pytorch/17524754606/1/artifact 2025-09-07T07:41:02.1549743Z retention-days: 14 2025-09-07T07:41:02.1549908Z if-no-files-found: ignore 2025-09-07T07:41:02.1550090Z path: logs-*.zip 2025-09-07T07:41:02.1550247Z name: artifact 2025-09-07T07:41:02.1550411Z region: us-east-1 2025-09-07T07:41:02.1550557Z env: 2025-09-07T07:41:02.1550704Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:41:02.1550989Z DOCKER_CONTAINER_ID: cf65f5c8b8a3299d2e8266398840c9df6d545a199d8c89c84814e64c14c562bf 2025-09-07T07:41:02.1551284Z DEVICE_NAME: 2025-09-07T07:41:02.1551433Z DEVICE_TYPE: 2025-09-07T07:41:02.1551585Z ##[endgroup] 2025-09-07T07:41:02.4006385Z NOTE: s3-prefix specified, ignoring name parameter 2025-09-07T07:41:02.4006979Z With the provided path, there will be 1 file uploaded 2025-09-07T07:41:02.4007317Z Uploading to s3 prefix: pytorch/pytorch/17524754606/1/artifact 2025-09-07T07:41:02.4037510Z Starting upload of logs-test-dynamic_cpu_inductor_torchbench-1-2-linux.8xlarge.amx_49774397872.zip 2025-09-07T07:41:02.5103683Z Finished upload of logs-test-dynamic_cpu_inductor_torchbench-1-2-linux.8xlarge.amx_49774397872.zip 2025-09-07T07:41:02.5272656Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T07:41:02.5272866Z with: 2025-09-07T07:41:02.5273042Z s3-bucket: gha-artifacts 2025-09-07T07:41:02.5273251Z s3-prefix: pytorch/pytorch/17524754606/1/artifact 2025-09-07T07:41:02.5273463Z retention-days: 14 2025-09-07T07:41:02.5273622Z if-no-files-found: ignore 2025-09-07T07:41:02.5273798Z path: debug-*.zip 2025-09-07T07:41:02.5273958Z name: artifact 2025-09-07T07:41:02.5274110Z region: us-east-1 2025-09-07T07:41:02.5274248Z env: 2025-09-07T07:41:02.5274394Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:41:02.5274670Z DOCKER_CONTAINER_ID: cf65f5c8b8a3299d2e8266398840c9df6d545a199d8c89c84814e64c14c562bf 2025-09-07T07:41:02.5274967Z DEVICE_NAME: 2025-09-07T07:41:02.5275108Z DEVICE_TYPE: 2025-09-07T07:41:02.5275255Z ##[endgroup] 2025-09-07T07:41:02.7723465Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded. 2025-09-07T07:41:02.7895329Z ##[group]Run # shellcheck disable=SC2156 2025-09-07T07:41:02.7895590Z # shellcheck disable=SC2156 2025-09-07T07:41:02.7895943Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \; 2025-09-07T07:41:02.7900497Z shell: /usr/bin/bash -e {0} 2025-09-07T07:41:02.7900678Z env: 2025-09-07T07:41:02.7900825Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:41:02.7901106Z DOCKER_CONTAINER_ID: cf65f5c8b8a3299d2e8266398840c9df6d545a199d8c89c84814e64c14c562bf 2025-09-07T07:41:02.7901439Z DEVICE_NAME: 2025-09-07T07:41:02.7901590Z DEVICE_TYPE: 2025-09-07T07:41:02.7901740Z ##[endgroup] 2025-09-07T07:41:02.9570912Z Prepare all required actions 2025-09-07T07:41:02.9571233Z Getting action download info 2025-09-07T07:41:03.0899924Z ##[group]Run ./.github/actions/upload-utilization-stats 2025-09-07T07:41:03.0900174Z with: 2025-09-07T07:41:03.0900340Z job_id: 49774397872 2025-09-07T07:41:03.0900642Z job_name: inductor-cpu-test / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx) 2025-09-07T07:41:03.0900973Z workflow_name: inductor 2025-09-07T07:41:03.0901157Z workflow_run_id: 17524754606 2025-09-07T07:41:03.0901365Z workflow_attempt: 1 2025-09-07T07:41:03.0901533Z env: 2025-09-07T07:41:03.0901689Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:41:03.0901985Z DOCKER_CONTAINER_ID: cf65f5c8b8a3299d2e8266398840c9df6d545a199d8c89c84814e64c14c562bf 2025-09-07T07:41:03.0902305Z DEVICE_NAME: 2025-09-07T07:41:03.0902481Z DEVICE_TYPE: 2025-09-07T07:41:03.0902653Z ##[endgroup] 2025-09-07T07:41:03.0919776Z ##[group]Run echo "workflow_id: 17524754606" 2025-09-07T07:41:03.0920059Z echo "workflow_id: 17524754606" 2025-09-07T07:41:03.0920283Z echo "workflow_attempt: 1" 2025-09-07T07:41:03.0920498Z echo "workflow_Name: inductor" 2025-09-07T07:41:03.0920718Z echo "job_id: 49774397872" 2025-09-07T07:41:03.0921078Z echo "job_name: inductor-cpu-test / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)" 2025-09-07T07:41:03.0921444Z echo "artifact_prefix: " 2025-09-07T07:41:03.0921659Z python3 --version 2025-09-07T07:41:03.0927104Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:41:03.0927341Z env: 2025-09-07T07:41:03.0927495Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:41:03.0927768Z DOCKER_CONTAINER_ID: cf65f5c8b8a3299d2e8266398840c9df6d545a199d8c89c84814e64c14c562bf 2025-09-07T07:41:03.0928062Z DEVICE_NAME: 2025-09-07T07:41:03.0928221Z DEVICE_TYPE: 2025-09-07T07:41:03.0928374Z ##[endgroup] 2025-09-07T07:41:03.0949644Z workflow_id: 17524754606 2025-09-07T07:41:03.0949977Z workflow_attempt: 1 2025-09-07T07:41:03.0954684Z workflow_Name: inductor 2025-09-07T07:41:03.0957456Z job_id: 49774397872 2025-09-07T07:41:03.0961578Z job_name: inductor-cpu-test / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx) 2025-09-07T07:41:03.0961996Z artifact_prefix: 2025-09-07T07:41:03.0962187Z Python 3.9.23 2025-09-07T07:41:03.0997937Z ##[group]Run nick-fields/retry@v3.0.0 2025-09-07T07:41:03.0998143Z with: 2025-09-07T07:41:03.0998284Z shell: bash 2025-09-07T07:41:03.0998439Z timeout_minutes: 5 2025-09-07T07:41:03.0998618Z max_attempts: 5 2025-09-07T07:41:03.0998774Z retry_wait_seconds: 30 2025-09-07T07:41:03.0999093Z command: set -eu python3 -m pip install python-dateutil==2.8.2 boto3==1.35.42 pandas==2.1.3 dataclasses_json==0.6.7 2025-09-07T07:41:03.0999425Z polling_interval_seconds: 1 2025-09-07T07:41:03.0999609Z warning_on_retry: true 2025-09-07T07:41:03.0999782Z continue_on_error: false 2025-09-07T07:41:03.0999948Z env: 2025-09-07T07:41:03.1000092Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:41:03.1000371Z DOCKER_CONTAINER_ID: cf65f5c8b8a3299d2e8266398840c9df6d545a199d8c89c84814e64c14c562bf 2025-09-07T07:41:03.1000660Z DEVICE_NAME: 2025-09-07T07:41:03.1000812Z DEVICE_TYPE: 2025-09-07T07:41:03.1000965Z ##[endgroup] 2025-09-07T07:41:03.3543658Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T07:41:03.4109017Z Collecting python-dateutil==2.8.2 2025-09-07T07:41:03.4406299Z Downloading python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB) 2025-09-07T07:41:04.1381927Z Collecting boto3==1.35.42 2025-09-07T07:41:04.1467456Z Downloading boto3-1.35.42-py3-none-any.whl (139 kB) 2025-09-07T07:41:04.5111009Z Collecting pandas==2.1.3 2025-09-07T07:41:04.5204682Z Downloading pandas-2.1.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.3 MB) 2025-09-07T07:41:04.6198784Z Requirement already satisfied: dataclasses_json==0.6.7 in /home/ec2-user/.local/lib/python3.9/site-packages (0.6.7) 2025-09-07T07:41:04.6212013Z Requirement already satisfied: six>=1.5 in /usr/lib/python3.9/site-packages (from python-dateutil==2.8.2) (1.15.0) 2025-09-07T07:41:04.6245473Z Requirement already satisfied: botocore<1.36.0,>=1.35.42 in /home/ec2-user/.local/lib/python3.9/site-packages (from boto3==1.35.42) (1.35.99) 2025-09-07T07:41:04.6246158Z Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /usr/lib/python3.9/site-packages (from boto3==1.35.42) (0.10.0) 2025-09-07T07:41:04.6246737Z Requirement already satisfied: s3transfer<0.11.0,>=0.10.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from boto3==1.35.42) (0.10.4) 2025-09-07T07:41:05.2437258Z Collecting numpy<2,>=1.22.4 2025-09-07T07:41:05.2520972Z Downloading numpy-1.26.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (18.2 MB) 2025-09-07T07:41:05.3681274Z Requirement already satisfied: pytz>=2020.1 in /usr/lib/python3.9/site-packages (from pandas==2.1.3) (2022.7.1) 2025-09-07T07:41:05.3906671Z Collecting tzdata>=2022.1 2025-09-07T07:41:05.3993724Z Downloading tzdata-2025.2-py2.py3-none-any.whl (347 kB) 2025-09-07T07:41:05.4094434Z Requirement already satisfied: typing-inspect<1,>=0.4.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from dataclasses_json==0.6.7) (0.9.0) 2025-09-07T07:41:05.4100613Z Requirement already satisfied: marshmallow<4.0.0,>=3.18.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from dataclasses_json==0.6.7) (3.26.1) 2025-09-07T07:41:05.4154755Z Requirement already satisfied: urllib3<1.27,>=1.25.4 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.42->boto3==1.35.42) (1.25.10) 2025-09-07T07:41:05.4213891Z Requirement already satisfied: packaging>=17.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from marshmallow<4.0.0,>=3.18.0->dataclasses_json==0.6.7) (25.0) 2025-09-07T07:41:05.4289302Z Requirement already satisfied: typing-extensions>=3.7.4 in /home/ec2-user/.local/lib/python3.9/site-packages (from typing-inspect<1,>=0.4.0->dataclasses_json==0.6.7) (4.15.0) 2025-09-07T07:41:05.4291058Z Requirement already satisfied: mypy-extensions>=0.3.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from typing-inspect<1,>=0.4.0->dataclasses_json==0.6.7) (1.1.0) 2025-09-07T07:41:05.5408882Z Installing collected packages: python-dateutil, tzdata, numpy, pandas, boto3 2025-09-07T07:41:09.3203352Z Attempting uninstall: boto3 2025-09-07T07:41:09.3203988Z Found existing installation: boto3 1.35.33 2025-09-07T07:41:09.3267459Z Uninstalling boto3-1.35.33: 2025-09-07T07:41:09.3274738Z Successfully uninstalled boto3-1.35.33 2025-09-07T07:41:09.3692327Z Successfully installed boto3-1.35.42 numpy-1.26.4 pandas-2.1.3 python-dateutil-2.8.2 tzdata-2025.2 2025-09-07T07:41:10.1654023Z Command completed after 1 attempt(s). 2025-09-07T07:41:10.1708626Z ##[group]Run python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-09-07T07:41:10.1709051Z python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-09-07T07:41:10.1709355Z  --workflow-run-id "17524754606" \ 2025-09-07T07:41:10.1709586Z  --workflow-name "inductor" \ 2025-09-07T07:41:10.1709798Z  --workflow-run-attempt "1" \ 2025-09-07T07:41:10.1710000Z  --job-id "49774397872" \ 2025-09-07T07:41:10.1710320Z  --job-name "inductor-cpu-test / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)" \ 2025-09-07T07:41:10.1710647Z  --local-path "" \ 2025-09-07T07:41:10.1710839Z  --artifact-prefix "" 2025-09-07T07:41:10.1716762Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:41:10.1717065Z env: 2025-09-07T07:41:10.1717224Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:41:10.1717501Z DOCKER_CONTAINER_ID: cf65f5c8b8a3299d2e8266398840c9df6d545a199d8c89c84814e64c14c562bf 2025-09-07T07:41:10.1717790Z DEVICE_NAME: 2025-09-07T07:41:10.1717987Z DEVICE_TYPE: 2025-09-07T07:41:10.1718133Z ##[endgroup] 2025-09-07T07:41:11.1562701Z repo: pytorch/pytorch 2025-09-07T07:41:11.1563697Z Search for test log in s3 bucket: ossci-utilization 2025-09-07T07:41:11.1564130Z Downloading logs-test-dynamic_cpu_inductor_torchbench-1-2-linux.8xlarge.amx_49774397872.zip 2025-09-07T07:41:11.1564628Z extracting usage_log.txt from zip file logs-test-dynamic_cpu_inductor_torchbench-1-2-linux.8xlarge.amx_49774397872.zip 2025-09-07T07:41:11.1565015Z Converted Log Model: UtilizationMetadata: 2025-09-07T07:41:11.1566024Z UtilizationMetadata(level='metadata', workflow_id='17524754606', job_id='49774397872', workflow_name='inductor', job_name='inductor-cpu-test / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)', usage_collect_interval=1.0, data_model_version=1.5, start_at=1757228015, gpu_count=0, cpu_count=32, gpu_type=None, error=None) 2025-09-07T07:41:11.1566891Z [Db Segments] detected pytest cmd: 11, generated segments: 11 2025-09-07T07:41:11.1567149Z [db model] Peek db timeseries 2025-09-07T07:41:11.1567331Z :{ 2025-09-07T07:41:11.1567475Z "created_at": 1757230870, 2025-09-07T07:41:11.1567662Z "type": "utilization", 2025-09-07T07:41:11.1567849Z "tags": [ 2025-09-07T07:41:11.1567996Z "record" 2025-09-07T07:41:11.1568137Z ], 2025-09-07T07:41:11.1568285Z "time_stamp": 1757228015, 2025-09-07T07:41:11.1568468Z "repo": "pytorch/pytorch", 2025-09-07T07:41:11.1568651Z "workflow_id": 17524754606, 2025-09-07T07:41:11.1568823Z "run_attempt": 1, 2025-09-07T07:41:11.1568988Z "job_id": 49774397872, 2025-09-07T07:41:11.1569165Z "workflow_name": "inductor", 2025-09-07T07:41:11.1569465Z "job_name": "inductor-cpu-test / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)", 2025-09-07T07:41:11.1569758Z "json_data": "{}" 2025-09-07T07:41:11.1569914Z } 2025-09-07T07:41:11.1570220Z Writing 1 documents to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/17524754606/1/49774397872/metadata 2025-09-07T07:41:11.1570725Z Done! Finish writing document to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/17524754606/1/49774397872/metadata 2025-09-07T07:41:11.1571230Z Writing 567 documents to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/17524754606/1/49774397872/time_series 2025-09-07T07:41:11.1571754Z Done! Finish writing document to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/17524754606/1/49774397872/time_series 2025-09-07T07:41:11.2533311Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main 2025-09-07T07:41:11.2533600Z with: 2025-09-07T07:41:11.2533755Z env: 2025-09-07T07:41:11.2533909Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:41:11.2534218Z DOCKER_CONTAINER_ID: cf65f5c8b8a3299d2e8266398840c9df6d545a199d8c89c84814e64c14c562bf 2025-09-07T07:41:11.2534543Z DEVICE_NAME: 2025-09-07T07:41:11.2534709Z DEVICE_TYPE: 2025-09-07T07:41:11.2534864Z ##[endgroup] 2025-09-07T07:41:11.2557151Z ##[group]Run set -eou pipefail 2025-09-07T07:41:11.2557499Z set -eou pipefail 2025-09-07T07:41:11.2557688Z  2025-09-07T07:41:11.2557916Z echo "Holding runner for 2 hours until all ssh sessions have logged out" 2025-09-07T07:41:11.2558179Z for _ in $(seq 1440); do 2025-09-07T07:41:11.2558397Z  # Break if no ssh session exists anymore 2025-09-07T07:41:11.2558614Z  if [ "$(who)" = "" ]; then 2025-09-07T07:41:11.2558804Z  break 2025-09-07T07:41:11.2558985Z  fi 2025-09-07T07:41:11.2559141Z  echo "." 2025-09-07T07:41:11.2559294Z  sleep 5 2025-09-07T07:41:11.2559448Z done 2025-09-07T07:41:11.2564134Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:41:11.2564446Z env: 2025-09-07T07:41:11.2564594Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:41:11.2564882Z DOCKER_CONTAINER_ID: cf65f5c8b8a3299d2e8266398840c9df6d545a199d8c89c84814e64c14c562bf 2025-09-07T07:41:11.2565382Z DEVICE_NAME: 2025-09-07T07:41:11.2565582Z DEVICE_TYPE: 2025-09-07T07:41:11.2565818Z ##[endgroup] 2025-09-07T07:41:11.2588841Z Holding runner for 2 hours until all ssh sessions have logged out 2025-09-07T07:41:11.2674524Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-09-07T07:41:11.2674872Z # ignore expansion of "docker ps -q" since it could be empty 2025-09-07T07:41:11.2675141Z # shellcheck disable=SC2046 2025-09-07T07:41:11.2675370Z docker stop $(docker ps -q) || true 2025-09-07T07:41:11.2675582Z # Prune all of the docker images 2025-09-07T07:41:11.2675792Z docker system prune -af 2025-09-07T07:41:11.2679697Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:41:11.2679944Z env: 2025-09-07T07:41:11.2680094Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:41:11.2680386Z DOCKER_CONTAINER_ID: cf65f5c8b8a3299d2e8266398840c9df6d545a199d8c89c84814e64c14c562bf 2025-09-07T07:41:11.2680694Z DEVICE_NAME: 2025-09-07T07:41:11.2680862Z DEVICE_TYPE: 2025-09-07T07:41:11.2681015Z ##[endgroup] 2025-09-07T07:41:22.1301124Z cf65f5c8b8a3 2025-09-07T07:41:22.4756056Z Deleted Containers: 2025-09-07T07:41:22.4756539Z cf65f5c8b8a3299d2e8266398840c9df6d545a199d8c89c84814e64c14c562bf 2025-09-07T07:41:22.4756866Z 2025-09-07T07:41:29.3974564Z Deleted Images: 2025-09-07T07:41:29.3979526Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 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'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:41:29.9870223Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-09-07T07:41:29.9891599Z http.https://github.com/.extraheader 2025-09-07T07:41:29.9899058Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader 2025-09-07T07:41:29.9930515Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :" 2025-09-07T07:41:30.0242675Z Entering 'android/libs/fbjni' 2025-09-07T07:41:30.0276495Z http.https://github.com/.extraheader 2025-09-07T07:41:30.0312493Z Entering 'third_party/FP16' 2025-09-07T07:41:30.0354631Z http.https://github.com/.extraheader 2025-09-07T07:41:30.0391498Z Entering 'third_party/FXdiv' 2025-09-07T07:41:30.0429862Z 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http.https://github.com/.extraheader 2025-09-07T07:41:30.1565848Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:41:30.1595412Z http.https://github.com/.extraheader 2025-09-07T07:41:30.1635398Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T07:41:30.1667507Z http.https://github.com/.extraheader 2025-09-07T07:41:30.1712414Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T07:41:30.1747131Z http.https://github.com/.extraheader 2025-09-07T07:41:30.1786973Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:41:30.1823004Z http.https://github.com/.extraheader 2025-09-07T07:41:30.1861061Z Entering 'third_party/fbgemm/external/json' 2025-09-07T07:41:30.1894236Z http.https://github.com/.extraheader 2025-09-07T07:41:30.1932892Z Entering 'third_party/flash-attention' 2025-09-07T07:41:30.1969656Z http.https://github.com/.extraheader 2025-09-07T07:41:30.2004556Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:41:30.2038599Z http.https://github.com/.extraheader 2025-09-07T07:41:30.2085154Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:41:30.2120251Z http.https://github.com/.extraheader 2025-09-07T07:41:30.2169318Z Entering 'third_party/flatbuffers' 2025-09-07T07:41:30.2204704Z http.https://github.com/.extraheader 2025-09-07T07:41:30.2239696Z Entering 'third_party/fmt' 2025-09-07T07:41:30.2267910Z http.https://github.com/.extraheader 2025-09-07T07:41:30.2309121Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:41:30.2348859Z http.https://github.com/.extraheader 2025-09-07T07:41:30.2387586Z Entering 'third_party/gloo' 2025-09-07T07:41:30.2423398Z http.https://github.com/.extraheader 2025-09-07T07:41:30.2458896Z Entering 'third_party/googletest' 2025-09-07T07:41:30.2487153Z http.https://github.com/.extraheader 2025-09-07T07:41:30.2529022Z Entering 'third_party/ideep' 2025-09-07T07:41:30.2564223Z http.https://github.com/.extraheader 2025-09-07T07:41:30.2596083Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T07:41:30.2635859Z http.https://github.com/.extraheader 2025-09-07T07:41:30.2681269Z Entering 'third_party/ittapi' 2025-09-07T07:41:30.2713116Z http.https://github.com/.extraheader 2025-09-07T07:41:30.2745655Z Entering 'third_party/kineto' 2025-09-07T07:41:30.2779965Z http.https://github.com/.extraheader 2025-09-07T07:41:30.2814932Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:41:30.2845533Z http.https://github.com/.extraheader 2025-09-07T07:41:30.2882350Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:41:30.2919835Z http.https://github.com/.extraheader 2025-09-07T07:41:30.2958038Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:41:30.2994924Z http.https://github.com/.extraheader 2025-09-07T07:41:30.3030605Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:41:30.3066854Z http.https://github.com/.extraheader 2025-09-07T07:41:30.3106130Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:41:30.3144148Z http.https://github.com/.extraheader 2025-09-07T07:41:30.3174225Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:41:30.3212759Z http.https://github.com/.extraheader 2025-09-07T07:41:30.3250456Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:41:30.3281051Z http.https://github.com/.extraheader 2025-09-07T07:41:30.3323246Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:41:30.3355877Z http.https://github.com/.extraheader 2025-09-07T07:41:30.3392420Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:41:30.3422692Z http.https://github.com/.extraheader 2025-09-07T07:41:30.3464175Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:41:30.3498522Z http.https://github.com/.extraheader 2025-09-07T07:41:30.3536268Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:41:30.3561393Z http.https://github.com/.extraheader 2025-09-07T07:41:30.3602910Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:41:30.3637349Z http.https://github.com/.extraheader 2025-09-07T07:41:30.3675160Z Entering 'third_party/kleidiai' 2025-09-07T07:41:30.3707410Z http.https://github.com/.extraheader 2025-09-07T07:41:30.3742937Z Entering 'third_party/mimalloc' 2025-09-07T07:41:30.3776562Z http.https://github.com/.extraheader 2025-09-07T07:41:30.3811350Z Entering 'third_party/nlohmann' 2025-09-07T07:41:30.3845678Z http.https://github.com/.extraheader 2025-09-07T07:41:30.3882134Z Entering 'third_party/onnx' 2025-09-07T07:41:30.3913200Z http.https://github.com/.extraheader 2025-09-07T07:41:30.3961003Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T07:41:30.3995077Z http.https://github.com/.extraheader 2025-09-07T07:41:30.4037429Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T07:41:30.4070086Z http.https://github.com/.extraheader 2025-09-07T07:41:30.4104145Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:41:30.4141149Z http.https://github.com/.extraheader 2025-09-07T07:41:30.4183824Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:41:30.4215490Z http.https://github.com/.extraheader 2025-09-07T07:41:30.4255198Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:41:30.4284366Z http.https://github.com/.extraheader 2025-09-07T07:41:30.4325528Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:41:30.4358796Z http.https://github.com/.extraheader 2025-09-07T07:41:30.4396058Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:41:30.4428948Z http.https://github.com/.extraheader 2025-09-07T07:41:30.4463694Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:41:30.4493617Z http.https://github.com/.extraheader 2025-09-07T07:41:30.4527465Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:41:30.4562690Z http.https://github.com/.extraheader 2025-09-07T07:41:30.4598255Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:41:30.4631077Z http.https://github.com/.extraheader 2025-09-07T07:41:30.4673214Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:41:30.4706145Z http.https://github.com/.extraheader 2025-09-07T07:41:30.4745267Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:41:30.4779072Z http.https://github.com/.extraheader 2025-09-07T07:41:30.4832636Z Entering 'third_party/pocketfft' 2025-09-07T07:41:30.4870411Z http.https://github.com/.extraheader 2025-09-07T07:41:30.4902640Z Entering 'third_party/protobuf' 2025-09-07T07:41:30.4939321Z http.https://github.com/.extraheader 2025-09-07T07:41:30.4975659Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:41:30.5007722Z http.https://github.com/.extraheader 2025-09-07T07:41:30.5041486Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:41:30.5080202Z http.https://github.com/.extraheader 2025-09-07T07:41:30.5121697Z Entering 'third_party/psimd' 2025-09-07T07:41:30.5155991Z http.https://github.com/.extraheader 2025-09-07T07:41:30.5193079Z Entering 'third_party/pthreadpool' 2025-09-07T07:41:30.5227480Z http.https://github.com/.extraheader 2025-09-07T07:41:30.5263553Z Entering 'third_party/pybind11' 2025-09-07T07:41:30.5297190Z http.https://github.com/.extraheader 2025-09-07T07:41:30.5332602Z Entering 'third_party/python-peachpy' 2025-09-07T07:41:30.5365492Z http.https://github.com/.extraheader 2025-09-07T07:41:30.5395752Z Entering 'third_party/sleef' 2025-09-07T07:41:30.5434110Z http.https://github.com/.extraheader 2025-09-07T07:41:30.5471497Z Entering 'third_party/tensorpipe' 2025-09-07T07:41:30.5503604Z http.https://github.com/.extraheader 2025-09-07T07:41:30.5541826Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:41:30.5578566Z http.https://github.com/.extraheader 2025-09-07T07:41:30.5611596Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:41:30.5649057Z http.https://github.com/.extraheader 2025-09-07T07:41:30.5687673Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:41:30.5720010Z http.https://github.com/.extraheader 2025-09-07T07:41:30.5762382Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:41:30.5796080Z http.https://github.com/.extraheader 2025-09-07T07:41:30.5830103Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:41:30.5861084Z http.https://github.com/.extraheader 2025-09-07T07:41:30.6012018Z A job completed hook has been configured by the self-hosted runner administrator 2025-09-07T07:41:30.6039262Z ##[group]Run '/home/ec2-user/runner-scripts/after_job.sh' 2025-09-07T07:41:30.6042728Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:41:30.6043009Z ##[endgroup] 2025-09-07T07:41:30.6132817Z [!ALERT!] Swap in detected! [!ALERT!] 2025-09-07T07:41:39.2422272Z [!ALERT!] Swap out detected [!ALERT!] 2025-09-07T07:41:53.6777451Z Cleaning up orphan processes