2025-08-14T21:16:58.2232183Z Current runner version: '2.328.0' 2025-08-14T21:16:58.2236867Z Runner name: 'i-0b1f618372e104b9b' 2025-08-14T21:16:58.2237451Z Runner group name: 'default' 2025-08-14T21:16:58.2238253Z Machine name: 'ip-10-0-23-145' 2025-08-14T21:16:58.2240321Z ##[group]GITHUB_TOKEN Permissions 2025-08-14T21:16:58.2242295Z Contents: read 2025-08-14T21:16:58.2242678Z Metadata: read 2025-08-14T21:16:58.2243091Z ##[endgroup] 2025-08-14T21:16:58.2244769Z Secret source: Actions 2025-08-14T21:16:58.2245281Z Prepare workflow directory 2025-08-14T21:16:58.2626859Z Prepare all required actions 2025-08-14T21:16:58.2658646Z Getting action download info 2025-08-14T21:16:58.5041435Z Download action repository 'pytorch/test-infra@main' (SHA:83f58f391e939c10dcb8cb6d745e4cefa3b98a84) 2025-08-14T21:17:00.9220999Z Download action repository 'pytorch/pytorch@main' (SHA:3be70dc30e893b552fc0f23ca06cd8f7949b6d08) 2025-08-14T21:17:16.9432305Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065) 2025-08-14T21:17:17.3200418Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722) 2025-08-14T21:17:17.5710931Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076) 2025-08-14T21:17:18.0946950Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-08-14T21:17:18.3785451Z Getting action download info 2025-08-14T21:17:18.4965316Z Download action repository 'actions/checkout@v4' (SHA:08eba0b27e820071cde6df949e0beb9ba4906955) 2025-08-14T21:17:18.7734750Z Getting action download info 2025-08-14T21:17:18.8881665Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e) 2025-08-14T21:17:19.0891203Z Getting action download info 2025-08-14T21:17:19.1994227Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482) 2025-08-14T21:17:19.4172724Z Getting action download info 2025-08-14T21:17:19.5512123Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (1fc683cf17c8c673044538d10266c00f92987be2) 2025-08-14T21:17:19.5515230Z ##[group] Inputs 2025-08-14T21:17:19.5515497Z build-environment: linux-jammy-py3.9-gcc11-build 2025-08-14T21:17:19.5517152Z test-matrix: {"include": [{"config": "cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "inductor_torchbench_cpu_smoketest_perf", "shard": 1, "num_shards": 1, "runner": "linux.24xl.spr-metal"}]} 2025-08-14T21:17:19.5518962Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:17:19.5519486Z sync-tag: 2025-08-14T21:17:19.5520398Z timeout-minutes: 240 2025-08-14T21:17:19.5520574Z use-gha: 2025-08-14T21:17:19.5520736Z dashboard-tag: 2025-08-14T21:17:19.5520919Z s3-bucket: gha-artifacts 2025-08-14T21:17:19.5521105Z aws-role-to-assume: 2025-08-14T21:17:19.5521490Z disable-monitor: false 2025-08-14T21:17:19.5521679Z monitor-log-interval: 5 2025-08-14T21:17:19.5522174Z monitor-data-collect-interval: 1 2025-08-14T21:17:19.5522484Z ##[endgroup] 2025-08-14T21:17:19.5522819Z Complete job name: linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx) 2025-08-14T21:17:19.6007836Z A job started hook has been configured by the self-hosted runner administrator 2025-08-14T21:17:19.6083898Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh' 2025-08-14T21:17:19.6090715Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:17:19.6091183Z ##[endgroup] 2025-08-14T21:17:20.5421531Z Runner Type: linux.8xlarge.amx 2025-08-14T21:17:20.5421997Z Instance Type: m7i-flex.8xlarge 2025-08-14T21:17:20.5422345Z AMI Name: unknown 2025-08-14T21:17:20.5460088Z AMI ID: ami-05ffe3c48a9991133 2025-08-14T21:17:24.8128851Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main 2025-08-14T21:17:24.8129252Z with: 2025-08-14T21:17:24.8129872Z github-secret: *** 2025-08-14T21:17:24.8130425Z instructions: All testing is done inside the container, to start an interactive session run: docker exec -it $(docker container ps --format '{{.ID}}') bash 2025-08-14T21:17:24.8130922Z activate-with-label: false 2025-08-14T21:17:24.8131182Z label: with-ssh 2025-08-14T21:17:24.8131486Z remove-existing-keys: true 2025-08-14T21:17:24.8131703Z fail-silently: true 2025-08-14T21:17:24.8131959Z env: 2025-08-14T21:17:24.8132195Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:17:24.8132410Z ##[endgroup] 2025-08-14T21:17:24.9240548Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info. 2025-08-14T21:17:24.9242659Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys 2025-08-14T21:17:24.9385950Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main 2025-08-14T21:17:24.9386281Z with: 2025-08-14T21:17:24.9386509Z no-sudo: true 2025-08-14T21:17:24.9386743Z submodules: recursive 2025-08-14T21:17:24.9386993Z fetch-depth: 0 2025-08-14T21:17:24.9387187Z env: 2025-08-14T21:17:24.9387414Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:17:24.9387677Z ##[endgroup] 2025-08-14T21:17:24.9552349Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-14T21:17:24.9552940Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-14T21:17:24.9561238Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:17:24.9561475Z env: 2025-08-14T21:17:24.9561642Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:17:24.9561819Z ##[endgroup] 2025-08-14T21:17:24.9649384Z ##[group]Run # Use all available CPUs for fetching 2025-08-14T21:17:24.9649714Z # Use all available CPUs for fetching 2025-08-14T21:17:24.9649954Z cd "${GITHUB_WORKSPACE}" 2025-08-14T21:17:24.9650223Z git config --global fetch.parallel 0 2025-08-14T21:17:24.9650470Z git config --global submodule.fetchJobs 0 2025-08-14T21:17:24.9650690Z  2025-08-14T21:17:24.9651019Z # Clean workspace. The default checkout action should also do this, but 2025-08-14T21:17:24.9651329Z # do it here as well just in case 2025-08-14T21:17:24.9651539Z if [[ -d .git ]]; then 2025-08-14T21:17:24.9651735Z  if [ -z "${NO_SUDO}" ]; then 2025-08-14T21:17:24.9651932Z  sudo git clean -ffdx 2025-08-14T21:17:24.9652119Z  else 2025-08-14T21:17:24.9652284Z  git clean -ffdx 2025-08-14T21:17:24.9652455Z  fi 2025-08-14T21:17:24.9652608Z fi 2025-08-14T21:17:24.9657106Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:17:24.9657336Z env: 2025-08-14T21:17:24.9657500Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:17:24.9657679Z NO_SUDO: true 2025-08-14T21:17:24.9657838Z ##[endgroup] 2025-08-14T21:17:24.9769219Z ##[group]Run actions/checkout@v4 2025-08-14T21:17:24.9769436Z with: 2025-08-14T21:17:24.9769613Z ref: 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:17:24.9769977Z fetch-depth: 0 2025-08-14T21:17:24.9770146Z submodules: recursive 2025-08-14T21:17:24.9770323Z show-progress: false 2025-08-14T21:17:24.9770502Z repository: pytorch/pytorch 2025-08-14T21:17:24.9770766Z token: *** 2025-08-14T21:17:24.9770923Z ssh-strict: true 2025-08-14T21:17:24.9771081Z ssh-user: git 2025-08-14T21:17:24.9771238Z persist-credentials: true 2025-08-14T21:17:24.9771418Z clean: true 2025-08-14T21:17:24.9771588Z sparse-checkout-cone-mode: true 2025-08-14T21:17:24.9771776Z fetch-tags: false 2025-08-14T21:17:24.9771935Z lfs: false 2025-08-14T21:17:24.9772094Z set-safe-directory: true 2025-08-14T21:17:24.9772273Z env: 2025-08-14T21:17:24.9772423Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:17:24.9772593Z ##[endgroup] 2025-08-14T21:17:25.0651991Z Syncing repository: pytorch/pytorch 2025-08-14T21:17:25.0653106Z ##[group]Getting Git version info 2025-08-14T21:17:25.0653413Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-08-14T21:17:25.0653860Z [command]/usr/bin/git version 2025-08-14T21:17:25.0813916Z git version 2.47.1 2025-08-14T21:17:25.0838376Z ##[endgroup] 2025-08-14T21:17:25.0843729Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/352920b4-04dc-4d87-a3e2-7ff5677a8c5f/.gitconfig' 2025-08-14T21:17:25.0884560Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/352920b4-04dc-4d87-a3e2-7ff5677a8c5f' before making global git config changes 2025-08-14T21:17:25.0889562Z Adding repository directory to the temporary git global config as a safe directory 2025-08-14T21:17:25.0897885Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-08-14T21:17:25.0945966Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-08-14T21:17:25.0952379Z ##[group]Initializing the repository 2025-08-14T21:17:25.0956963Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-08-14T21:17:25.1000616Z hint: Using 'master' as the name for the initial branch. This default branch name 2025-08-14T21:17:25.1003938Z hint: is subject to change. To configure the initial branch name to use in all 2025-08-14T21:17:25.1004395Z hint: of your new repositories, which will suppress this warning, call: 2025-08-14T21:17:25.1004655Z hint: 2025-08-14T21:17:25.1004878Z hint: git config --global init.defaultBranch 2025-08-14T21:17:25.1005103Z hint: 2025-08-14T21:17:25.1005325Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2025-08-14T21:17:25.1005671Z hint: 'development'. The just-created branch can be renamed via this command: 2025-08-14T21:17:25.1005945Z hint: 2025-08-14T21:17:25.1006312Z hint: git branch -m 2025-08-14T21:17:25.1017251Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/ 2025-08-14T21:17:25.1030083Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch 2025-08-14T21:17:25.1073214Z ##[endgroup] 2025-08-14T21:17:25.1075290Z ##[group]Disabling automatic garbage collection 2025-08-14T21:17:25.1075775Z [command]/usr/bin/git config --local gc.auto 0 2025-08-14T21:17:25.1094157Z ##[endgroup] 2025-08-14T21:17:25.1094618Z ##[group]Setting up auth 2025-08-14T21:17:25.1097245Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-08-14T21:17:25.1131343Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :" 2025-08-14T21:17:25.1480966Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-08-14T21:17:25.1512057Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :" 2025-08-14T21:17:25.1834356Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-08-14T21:17:25.1904073Z ##[endgroup] 2025-08-14T21:17:25.1904452Z ##[group]Fetching the repository 2025-08-14T21:17:25.1918196Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2025-08-14T21:18:08.3944449Z From https://github.com/pytorch/pytorch 2025-08-14T21:18:08.3946314Z * [new branch] 2.6.0.dev20241004+ -> origin/2.6.0.dev20241004+ 2025-08-14T21:18:08.3950426Z * [new branch] 5addvllmbuild -> origin/5addvllmbuild 2025-08-14T21:18:08.3955778Z * [new branch] AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest 2025-08-14T21:18:08.3960891Z * [new branch] HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes 2025-08-14T21:18:08.3965499Z * [new branch] JackCaoG/dynamo_make_fx_non_core_aten_ops -> origin/JackCaoG/dynamo_make_fx_non_core_aten_ops 2025-08-14T21:18:08.3970110Z * [new branch] PR-AOTInductorNoneBug -> origin/PR-AOTInductorNoneBug 2025-08-14T21:18:08.3974661Z * [new branch] PR-AOTInductorNoneBugFix -> origin/PR-AOTInductorNoneBugFix 2025-08-14T21:18:08.3975112Z * [new branch] PR-FixConfigsIssue -> origin/PR-FixConfigsIssue 2025-08-14T21:18:08.3979234Z * [new branch] PR-NoneBugFix-viable -> origin/PR-NoneBugFix-viable 2025-08-14T21:18:08.3979800Z * [new branch] PR-ResetToZero -> origin/PR-ResetToZero 2025-08-14T21:18:08.3980507Z * [new branch] Update-Flash-Packaging -> origin/Update-Flash-Packaging 2025-08-14T21:18:08.3981015Z * [new branch] add-missing-args-normalization -> origin/add-missing-args-normalization 2025-08-14T21:18:08.3981407Z * [new branch] add-user-guide-structure -> origin/add-user-guide-structure 2025-08-14T21:18:08.3981729Z * [new branch] addVllmPin -> origin/addVllmPin 2025-08-14T21:18:08.3986036Z * [new branch] add_windows_testing_back -> origin/add_windows_testing_back 2025-08-14T21:18:08.3986410Z * [new branch] addbuildvllm -> origin/addbuildvllm 2025-08-14T21:18:08.3986744Z * [new branch] addmm-heuristic -> origin/addmm-heuristic 2025-08-14T21:18:08.3987032Z * [new branch] addsimde -> origin/addsimde 2025-08-14T21:18:08.3987340Z * [new branch] addvllpinnedfile -> origin/addvllpinnedfile 2025-08-14T21:18:08.3987687Z * [new branch] adi/acl_upgrade -> origin/adi/acl_upgrade 2025-08-14T21:18:08.3987979Z * [new branch] adi/skip_slow_tests -> origin/adi/skip_slow_tests 2025-08-14T21:18:08.3988266Z * [new branch] adi/test -> origin/adi/test 2025-08-14T21:18:08.3988540Z * [new branch] adi/test_bgemm -> origin/adi/test_bgemm 2025-08-14T21:18:08.3988842Z * [new branch] adi/test_fusions -> origin/adi/test_fusions 2025-08-14T21:18:08.3989135Z * [new branch] adi/test_onednn_v3.9 -> origin/adi/test_onednn_v3.9 2025-08-14T21:18:08.3989445Z * [new branch] adi/test_presve_change -> origin/adi/test_presve_change 2025-08-14T21:18:08.3989744Z * [new branch] adi/test_timm -> origin/adi/test_timm 2025-08-14T21:18:08.3990043Z * [new branch] adi/testpresve_change -> origin/adi/testpresve_change 2025-08-14T21:18:08.3990444Z * [new branch] aditew01/test/vec_bf16 -> origin/aditew01/test/vec_bf16 2025-08-14T21:18:08.3990779Z * [new branch] ah-globalfeedback-hook -> origin/ah-globalfeedback-hook 2025-08-14T21:18:08.3991118Z * [new branch] albanD-patch-1 -> origin/albanD-patch-1 2025-08-14T21:18:08.3991409Z * [new branch] alt-disable -> origin/alt-disable 2025-08-14T21:18:08.3991983Z * [new branch] angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files 2025-08-14T21:18:08.3992343Z * [new branch] angelayi/aoti_inductor_fx -> origin/angelayi/aoti_inductor_fx 2025-08-14T21:18:08.3993056Z * [new branch] angelayi/assert_tensor_metadata_device -> origin/angelayi/assert_tensor_metadata_device 2025-08-14T21:18:08.3993449Z * [new branch] angelayi/benchmark -> origin/angelayi/benchmark 2025-08-14T21:18:08.3993810Z * [new branch] angelayi/benchmark2 -> origin/angelayi/benchmark2 2025-08-14T21:18:08.3994189Z * [new branch] angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization 2025-08-14T21:18:08.3994563Z * [new branch] angelayi/cpp_loader -> origin/angelayi/cpp_loader 2025-08-14T21:18:08.3994899Z * [new branch] angelayi/custom_op_subgraph -> origin/angelayi/custom_op_subgraph 2025-08-14T21:18:08.3995226Z * [new branch] angelayi/customop -> origin/angelayi/customop 2025-08-14T21:18:08.3995529Z * [new branch] angelayi/del_lib -> origin/angelayi/del_lib 2025-08-14T21:18:08.3995818Z 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ciflow/binaries/157432 2025-08-14T21:18:08.7421025Z * [new tag] ciflow/binaries/157685 -> ciflow/binaries/157685 2025-08-14T21:18:08.7421610Z * [new tag] ciflow/binaries/157689 -> ciflow/binaries/157689 2025-08-14T21:18:08.7421918Z * [new tag] ciflow/binaries/158104 -> ciflow/binaries/158104 2025-08-14T21:18:08.7422443Z * [new tag] ciflow/binaries/158623 -> ciflow/binaries/158623 2025-08-14T21:18:08.7422747Z * [new tag] ciflow/binaries/159827 -> ciflow/binaries/159827 2025-08-14T21:18:08.7423457Z * [new tag] ciflow/binaries/159869 -> ciflow/binaries/159869 2025-08-14T21:18:08.7424127Z * [new tag] ciflow/binaries/160593 -> ciflow/binaries/160593 2025-08-14T21:18:08.7424645Z * [new tag] ciflow/binaries_libtorch/143959 -> ciflow/binaries_libtorch/143959 2025-08-14T21:18:08.7425130Z * [new tag] ciflow/binaries_libtorch/156049 -> ciflow/binaries_libtorch/156049 2025-08-14T21:18:08.7425474Z * [new tag] ciflow/binaries_libtorch/157432 -> ciflow/binaries_libtorch/157432 2025-08-14T21:18:08.7426007Z * [new tag] ciflow/binaries_wheel/143959 -> ciflow/binaries_wheel/143959 2025-08-14T21:18:08.7426325Z * [new tag] ciflow/binaries_wheel/156049 -> ciflow/binaries_wheel/156049 2025-08-14T21:18:08.7426733Z * [new tag] ciflow/binaries_wheel/157432 -> ciflow/binaries_wheel/157432 2025-08-14T21:18:08.7427176Z * [new tag] ciflow/binaries_wheel/158733 -> ciflow/binaries_wheel/158733 2025-08-14T21:18:08.7427880Z * [new tag] ciflow/binaries_wheel/160301 -> ciflow/binaries_wheel/160301 2025-08-14T21:18:08.7428378Z * [new tag] ciflow/binaries_wheel/160496 -> ciflow/binaries_wheel/160496 2025-08-14T21:18:08.7428826Z * [new tag] ciflow/h100-distributed/156703 -> ciflow/h100-distributed/156703 2025-08-14T21:18:08.7429184Z * [new tag] ciflow/h100-symm-mem/151845 -> ciflow/h100-symm-mem/151845 2025-08-14T21:18:08.7429528Z * [new tag] ciflow/h100-symm-mem/155923 -> ciflow/h100-symm-mem/155923 2025-08-14T21:18:08.7429962Z * [new tag] ciflow/h100-symm-mem/157635 -> ciflow/h100-symm-mem/157635 2025-08-14T21:18:08.7430461Z * [new tag] ciflow/h100-symm-mem/159118 -> ciflow/h100-symm-mem/159118 2025-08-14T21:18:08.7430908Z * [new tag] ciflow/h100-symm-mem/159562 -> ciflow/h100-symm-mem/159562 2025-08-14T21:18:08.7431299Z * [new tag] ciflow/h100-symm-mem/159889 -> ciflow/h100-symm-mem/159889 2025-08-14T21:18:08.7431809Z * [new tag] ciflow/h100/159158 -> ciflow/h100/159158 2025-08-14T21:18:08.7432396Z * [new tag] ciflow/h100/160450 -> ciflow/h100/160450 2025-08-14T21:18:08.7432845Z * [new tag] ciflow/h100/160480 -> ciflow/h100/160480 2025-08-14T21:18:08.7433412Z * [new tag] ciflow/h100/160614 -> ciflow/h100/160614 2025-08-14T21:18:08.7434084Z * [new tag] ciflow/inductor-perf-test-nightly-rocm/151845 -> ciflow/inductor-perf-test-nightly-rocm/151845 2025-08-14T21:18:08.7435100Z * [new tag] ciflow/inductor-perf-test-nightly-rocm/160538 -> ciflow/inductor-perf-test-nightly-rocm/160538 2025-08-14T21:18:08.7435807Z * [new tag] ciflow/inductor-perf-test-nightly-x86-zen/156599 -> ciflow/inductor-perf-test-nightly-x86-zen/156599 2025-08-14T21:18:08.7436383Z * [new tag] ciflow/inductor-periodic/160406 -> ciflow/inductor-periodic/160406 2025-08-14T21:18:08.7436857Z * [new tag] ciflow/inductor-periodic/160538 -> ciflow/inductor-periodic/160538 2025-08-14T21:18:08.7437342Z * [new tag] ciflow/inductor-rocm/151845 -> ciflow/inductor-rocm/151845 2025-08-14T21:18:08.7437785Z * [new tag] ciflow/inductor-rocm/159158 -> ciflow/inductor-rocm/159158 2025-08-14T21:18:08.7438596Z * [new tag] ciflow/inductor-rocm/160073 -> ciflow/inductor-rocm/160073 2025-08-14T21:18:08.7438971Z * [new tag] ciflow/inductor-rocm/160538 -> ciflow/inductor-rocm/160538 2025-08-14T21:18:08.7439318Z * [new tag] ciflow/inductor/134881 -> ciflow/inductor/134881 2025-08-14T21:18:08.7439757Z * [new tag] ciflow/inductor/137400 -> ciflow/inductor/137400 2025-08-14T21:18:08.7440102Z * [new tag] ciflow/inductor/144516 -> ciflow/inductor/144516 2025-08-14T21:18:08.7440458Z * [new tag] ciflow/inductor/146506 -> ciflow/inductor/146506 2025-08-14T21:18:08.7440900Z * [new tag] ciflow/inductor/147360 -> ciflow/inductor/147360 2025-08-14T21:18:08.7441236Z * [new tag] ciflow/inductor/147990 -> ciflow/inductor/147990 2025-08-14T21:18:08.7441696Z * [new tag] ciflow/inductor/148180 -> ciflow/inductor/148180 2025-08-14T21:18:08.7442154Z * [new tag] ciflow/inductor/148328 -> ciflow/inductor/148328 2025-08-14T21:18:08.7442607Z * [new tag] ciflow/inductor/148484 -> ciflow/inductor/148484 2025-08-14T21:18:08.7442977Z * [new tag] ciflow/inductor/148492 -> ciflow/inductor/148492 2025-08-14T21:18:08.7443283Z * [new tag] ciflow/inductor/150302 -> ciflow/inductor/150302 2025-08-14T21:18:08.7443808Z * [new tag] ciflow/inductor/151845 -> ciflow/inductor/151845 2025-08-14T21:18:08.7444314Z * [new tag] ciflow/inductor/152198 -> ciflow/inductor/152198 2025-08-14T21:18:08.7444789Z * [new tag] ciflow/inductor/152624 -> ciflow/inductor/152624 2025-08-14T21:18:08.7445285Z * [new tag] ciflow/inductor/153966 -> ciflow/inductor/153966 2025-08-14T21:18:08.7445928Z * [new tag] ciflow/inductor/154193 -> ciflow/inductor/154193 2025-08-14T21:18:08.7446299Z * [new tag] ciflow/inductor/154650 -> ciflow/inductor/154650 2025-08-14T21:18:08.7446711Z * [new tag] ciflow/inductor/154694 -> ciflow/inductor/154694 2025-08-14T21:18:08.7447015Z * [new tag] ciflow/inductor/155072 -> ciflow/inductor/155072 2025-08-14T21:18:08.7447466Z * [new tag] ciflow/inductor/155152 -> ciflow/inductor/155152 2025-08-14T21:18:08.7447897Z * [new tag] ciflow/inductor/155153 -> ciflow/inductor/155153 2025-08-14T21:18:08.7448509Z * [new tag] ciflow/inductor/155154 -> ciflow/inductor/155154 2025-08-14T21:18:08.7448798Z * [new tag] ciflow/inductor/155501 -> ciflow/inductor/155501 2025-08-14T21:18:08.7449268Z * [new tag] ciflow/inductor/155502 -> ciflow/inductor/155502 2025-08-14T21:18:08.7449557Z * [new tag] ciflow/inductor/155503 -> ciflow/inductor/155503 2025-08-14T21:18:08.7450132Z * [new tag] ciflow/inductor/155504 -> ciflow/inductor/155504 2025-08-14T21:18:08.7450495Z * [new tag] ciflow/inductor/155557 -> ciflow/inductor/155557 2025-08-14T21:18:08.7450910Z * [new tag] ciflow/inductor/155608 -> ciflow/inductor/155608 2025-08-14T21:18:08.7451308Z * [new tag] ciflow/inductor/155923 -> ciflow/inductor/155923 2025-08-14T21:18:08.7451740Z * [new tag] ciflow/inductor/155928 -> ciflow/inductor/155928 2025-08-14T21:18:08.7452211Z * [new tag] ciflow/inductor/155958 -> ciflow/inductor/155958 2025-08-14T21:18:08.7452599Z * [new tag] ciflow/inductor/156049 -> ciflow/inductor/156049 2025-08-14T21:18:08.7453033Z * [new tag] ciflow/inductor/156851 -> ciflow/inductor/156851 2025-08-14T21:18:08.7453705Z * [new tag] ciflow/inductor/156967 -> ciflow/inductor/156967 2025-08-14T21:18:08.7454261Z * [new tag] ciflow/inductor/157148 -> ciflow/inductor/157148 2025-08-14T21:18:08.7454551Z * [new tag] ciflow/inductor/157149 -> ciflow/inductor/157149 2025-08-14T21:18:08.7454831Z * [new tag] ciflow/inductor/157152 -> ciflow/inductor/157152 2025-08-14T21:18:08.7455116Z * [new tag] ciflow/inductor/157542 -> ciflow/inductor/157542 2025-08-14T21:18:08.7455525Z * [new tag] ciflow/inductor/157572 -> ciflow/inductor/157572 2025-08-14T21:18:08.7456147Z * [new tag] ciflow/inductor/157635 -> ciflow/inductor/157635 2025-08-14T21:18:08.7456438Z * [new tag] ciflow/inductor/157685 -> ciflow/inductor/157685 2025-08-14T21:18:08.7456751Z * [new tag] ciflow/inductor/157686 -> ciflow/inductor/157686 2025-08-14T21:18:08.7457081Z * [new tag] ciflow/inductor/157689 -> ciflow/inductor/157689 2025-08-14T21:18:08.7457675Z * [new tag] ciflow/inductor/157699 -> ciflow/inductor/157699 2025-08-14T21:18:08.7458061Z * [new tag] ciflow/inductor/157743 -> ciflow/inductor/157743 2025-08-14T21:18:08.7458527Z * [new tag] ciflow/inductor/157944 -> ciflow/inductor/157944 2025-08-14T21:18:08.7458892Z * [new tag] ciflow/inductor/157971 -> ciflow/inductor/157971 2025-08-14T21:18:08.7459648Z * [new tag] ciflow/inductor/157994 -> ciflow/inductor/157994 2025-08-14T21:18:08.7459949Z * [new tag] ciflow/inductor/158061 -> ciflow/inductor/158061 2025-08-14T21:18:08.7460402Z * [new tag] ciflow/inductor/158091 -> ciflow/inductor/158091 2025-08-14T21:18:08.7460840Z * [new tag] ciflow/inductor/158097 -> ciflow/inductor/158097 2025-08-14T21:18:08.7461379Z * [new tag] ciflow/inductor/158098 -> ciflow/inductor/158098 2025-08-14T21:18:08.7461778Z * [new tag] ciflow/inductor/158104 -> ciflow/inductor/158104 2025-08-14T21:18:08.7462075Z * [new tag] ciflow/inductor/158168 -> ciflow/inductor/158168 2025-08-14T21:18:08.7462862Z * [new tag] ciflow/inductor/158250 -> ciflow/inductor/158250 2025-08-14T21:18:08.7463151Z * [new tag] ciflow/inductor/158321 -> ciflow/inductor/158321 2025-08-14T21:18:08.7463562Z * [new tag] ciflow/inductor/158609 -> ciflow/inductor/158609 2025-08-14T21:18:08.7463994Z * [new tag] ciflow/inductor/158647 -> ciflow/inductor/158647 2025-08-14T21:18:08.7464481Z * [new tag] ciflow/inductor/158914 -> ciflow/inductor/158914 2025-08-14T21:18:08.7465306Z * [new tag] ciflow/inductor/158932 -> ciflow/inductor/158932 2025-08-14T21:18:08.7465600Z * [new tag] ciflow/inductor/158987 -> ciflow/inductor/158987 2025-08-14T21:18:08.7465889Z * [new tag] ciflow/inductor/159009 -> ciflow/inductor/159009 2025-08-14T21:18:08.7466188Z * [new tag] ciflow/inductor/159010 -> ciflow/inductor/159010 2025-08-14T21:18:08.7467299Z * [new tag] ciflow/inductor/159093 -> ciflow/inductor/159093 2025-08-14T21:18:08.7467591Z * [new tag] ciflow/inductor/159158 -> ciflow/inductor/159158 2025-08-14T21:18:08.7467959Z * [new tag] ciflow/inductor/159197 -> ciflow/inductor/159197 2025-08-14T21:18:08.7468465Z * [new tag] ciflow/inductor/159274 -> ciflow/inductor/159274 2025-08-14T21:18:08.7468840Z * [new tag] ciflow/inductor/159281 -> ciflow/inductor/159281 2025-08-14T21:18:08.7469312Z * [new tag] ciflow/inductor/159329 -> ciflow/inductor/159329 2025-08-14T21:18:08.7469643Z * [new tag] ciflow/inductor/159361 -> ciflow/inductor/159361 2025-08-14T21:18:08.7470197Z * [new tag] ciflow/inductor/159365 -> ciflow/inductor/159365 2025-08-14T21:18:08.7470497Z * [new tag] ciflow/inductor/159366 -> ciflow/inductor/159366 2025-08-14T21:18:08.7471048Z * [new tag] ciflow/inductor/159367 -> ciflow/inductor/159367 2025-08-14T21:18:08.7471367Z * [new tag] ciflow/inductor/159368 -> ciflow/inductor/159368 2025-08-14T21:18:08.7472039Z * [new tag] ciflow/inductor/159473 -> ciflow/inductor/159473 2025-08-14T21:18:08.7472488Z * [new tag] ciflow/inductor/159483 -> ciflow/inductor/159483 2025-08-14T21:18:08.7472793Z * [new tag] ciflow/inductor/159508 -> ciflow/inductor/159508 2025-08-14T21:18:08.7473194Z * [new tag] ciflow/inductor/159523 -> ciflow/inductor/159523 2025-08-14T21:18:08.7473716Z * [new tag] ciflow/inductor/159678 -> ciflow/inductor/159678 2025-08-14T21:18:08.7474079Z * [new tag] ciflow/inductor/159691 -> ciflow/inductor/159691 2025-08-14T21:18:08.7474753Z * [new tag] ciflow/inductor/159778 -> ciflow/inductor/159778 2025-08-14T21:18:08.7475132Z * [new tag] ciflow/inductor/159786 -> ciflow/inductor/159786 2025-08-14T21:18:08.7475487Z * [new tag] ciflow/inductor/159817 -> ciflow/inductor/159817 2025-08-14T21:18:08.7475949Z * [new tag] ciflow/inductor/159842 -> ciflow/inductor/159842 2025-08-14T21:18:08.7476387Z * [new tag] ciflow/inductor/159864 -> ciflow/inductor/159864 2025-08-14T21:18:08.7476740Z * [new tag] ciflow/inductor/159865 -> ciflow/inductor/159865 2025-08-14T21:18:08.7477399Z * [new tag] ciflow/inductor/159869 -> ciflow/inductor/159869 2025-08-14T21:18:08.7477816Z * [new tag] ciflow/inductor/159875 -> ciflow/inductor/159875 2025-08-14T21:18:08.7478368Z * [new tag] ciflow/inductor/159889 -> ciflow/inductor/159889 2025-08-14T21:18:08.7478861Z * [new tag] ciflow/inductor/159902 -> ciflow/inductor/159902 2025-08-14T21:18:08.7479471Z * [new tag] ciflow/inductor/159923 -> ciflow/inductor/159923 2025-08-14T21:18:08.7479893Z * [new tag] ciflow/inductor/159944 -> ciflow/inductor/159944 2025-08-14T21:18:08.7480419Z * [new tag] ciflow/inductor/160004 -> ciflow/inductor/160004 2025-08-14T21:18:08.7480908Z * [new tag] ciflow/inductor/160080 -> ciflow/inductor/160080 2025-08-14T21:18:08.7481318Z * [new tag] ciflow/inductor/160108 -> ciflow/inductor/160108 2025-08-14T21:18:08.7481789Z * [new tag] ciflow/inductor/160109 -> ciflow/inductor/160109 2025-08-14T21:18:08.7482411Z * [new tag] ciflow/inductor/160111 -> ciflow/inductor/160111 2025-08-14T21:18:08.7482720Z * [new tag] ciflow/inductor/160113 -> ciflow/inductor/160113 2025-08-14T21:18:08.7483425Z * [new tag] ciflow/inductor/160127 -> ciflow/inductor/160127 2025-08-14T21:18:08.7483728Z * [new tag] ciflow/inductor/160131 -> ciflow/inductor/160131 2025-08-14T21:18:08.7484118Z * [new tag] ciflow/inductor/160132 -> ciflow/inductor/160132 2025-08-14T21:18:08.7484550Z * [new tag] ciflow/inductor/160136 -> ciflow/inductor/160136 2025-08-14T21:18:08.7485048Z * [new tag] ciflow/inductor/160138 -> ciflow/inductor/160138 2025-08-14T21:18:08.7485425Z * [new tag] ciflow/inductor/160151 -> ciflow/inductor/160151 2025-08-14T21:18:08.7485863Z * [new tag] ciflow/inductor/160152 -> ciflow/inductor/160152 2025-08-14T21:18:08.7486483Z * [new tag] ciflow/inductor/160154 -> ciflow/inductor/160154 2025-08-14T21:18:08.7487309Z * [new tag] ciflow/inductor/160156 -> ciflow/inductor/160156 2025-08-14T21:18:08.7487748Z * [new tag] ciflow/inductor/160161 -> ciflow/inductor/160161 2025-08-14T21:18:08.7488121Z * [new tag] ciflow/inductor/160166 -> ciflow/inductor/160166 2025-08-14T21:18:08.7488498Z * [new tag] ciflow/inductor/160168 -> ciflow/inductor/160168 2025-08-14T21:18:08.7488869Z * [new tag] ciflow/inductor/160174 -> ciflow/inductor/160174 2025-08-14T21:18:08.7489237Z * [new tag] ciflow/inductor/160181 -> ciflow/inductor/160181 2025-08-14T21:18:08.7489657Z * [new tag] ciflow/inductor/160183 -> ciflow/inductor/160183 2025-08-14T21:18:08.7490245Z * [new tag] ciflow/inductor/160190 -> ciflow/inductor/160190 2025-08-14T21:18:08.7491050Z * [new tag] ciflow/inductor/160198 -> ciflow/inductor/160198 2025-08-14T21:18:08.7491357Z * [new tag] ciflow/inductor/160201 -> ciflow/inductor/160201 2025-08-14T21:18:08.7491688Z * [new tag] ciflow/inductor/160209 -> ciflow/inductor/160209 2025-08-14T21:18:08.7492383Z * [new tag] ciflow/inductor/160218 -> ciflow/inductor/160218 2025-08-14T21:18:08.7492820Z * [new tag] ciflow/inductor/160239 -> ciflow/inductor/160239 2025-08-14T21:18:08.7493216Z * [new tag] ciflow/inductor/160250 -> ciflow/inductor/160250 2025-08-14T21:18:08.7493656Z * [new tag] ciflow/inductor/160253 -> ciflow/inductor/160253 2025-08-14T21:18:08.7494198Z * [new tag] ciflow/inductor/160266 -> ciflow/inductor/160266 2025-08-14T21:18:08.7494809Z * [new tag] ciflow/inductor/160282 -> ciflow/inductor/160282 2025-08-14T21:18:08.7499024Z * [new tag] ciflow/inductor/160298 -> ciflow/inductor/160298 2025-08-14T21:18:08.7499386Z * [new tag] ciflow/inductor/160301 -> ciflow/inductor/160301 2025-08-14T21:18:08.7499831Z * [new tag] ciflow/inductor/160310 -> ciflow/inductor/160310 2025-08-14T21:18:08.7500136Z * [new tag] ciflow/inductor/160323 -> ciflow/inductor/160323 2025-08-14T21:18:08.7500433Z * [new tag] ciflow/inductor/160324 -> ciflow/inductor/160324 2025-08-14T21:18:08.7500736Z * [new tag] ciflow/inductor/160325 -> ciflow/inductor/160325 2025-08-14T21:18:08.7501048Z * [new tag] ciflow/inductor/160326 -> ciflow/inductor/160326 2025-08-14T21:18:08.7501335Z * [new tag] ciflow/inductor/160327 -> ciflow/inductor/160327 2025-08-14T21:18:08.7501614Z * [new tag] ciflow/inductor/160328 -> ciflow/inductor/160328 2025-08-14T21:18:08.7502042Z * [new tag] ciflow/inductor/160329 -> ciflow/inductor/160329 2025-08-14T21:18:08.7502339Z * [new tag] ciflow/inductor/160351 -> ciflow/inductor/160351 2025-08-14T21:18:08.7502626Z * [new tag] ciflow/inductor/160353 -> ciflow/inductor/160353 2025-08-14T21:18:08.7502913Z * [new tag] ciflow/inductor/160362 -> ciflow/inductor/160362 2025-08-14T21:18:08.7503197Z * [new tag] ciflow/inductor/160363 -> ciflow/inductor/160363 2025-08-14T21:18:08.7503474Z * [new tag] ciflow/inductor/160364 -> ciflow/inductor/160364 2025-08-14T21:18:08.7504149Z * [new tag] ciflow/inductor/160365 -> ciflow/inductor/160365 2025-08-14T21:18:08.7504538Z * [new tag] ciflow/inductor/160366 -> ciflow/inductor/160366 2025-08-14T21:18:08.7504831Z * [new tag] ciflow/inductor/160367 -> ciflow/inductor/160367 2025-08-14T21:18:08.7505108Z * [new tag] ciflow/inductor/160368 -> ciflow/inductor/160368 2025-08-14T21:18:08.7505401Z * [new tag] ciflow/inductor/160369 -> ciflow/inductor/160369 2025-08-14T21:18:08.7505686Z * [new tag] ciflow/inductor/160371 -> ciflow/inductor/160371 2025-08-14T21:18:08.7505975Z * [new tag] ciflow/inductor/160374 -> ciflow/inductor/160374 2025-08-14T21:18:08.7506413Z * [new tag] ciflow/inductor/160375 -> ciflow/inductor/160375 2025-08-14T21:18:08.7506707Z * [new tag] ciflow/inductor/160377 -> ciflow/inductor/160377 2025-08-14T21:18:08.7506992Z * [new tag] ciflow/inductor/160380 -> ciflow/inductor/160380 2025-08-14T21:18:08.7507271Z * [new tag] ciflow/inductor/160381 -> ciflow/inductor/160381 2025-08-14T21:18:08.7507728Z * [new tag] ciflow/inductor/160383 -> ciflow/inductor/160383 2025-08-14T21:18:08.7508105Z * [new tag] ciflow/inductor/160394 -> ciflow/inductor/160394 2025-08-14T21:18:08.7508593Z * [new tag] ciflow/inductor/160401 -> ciflow/inductor/160401 2025-08-14T21:18:08.7509014Z * [new tag] ciflow/inductor/160402 -> ciflow/inductor/160402 2025-08-14T21:18:08.7509473Z * [new tag] ciflow/inductor/160403 -> ciflow/inductor/160403 2025-08-14T21:18:08.7509911Z * [new tag] ciflow/inductor/160424 -> ciflow/inductor/160424 2025-08-14T21:18:08.7510391Z * [new tag] ciflow/inductor/160426 -> ciflow/inductor/160426 2025-08-14T21:18:08.7510982Z * [new tag] ciflow/inductor/160431 -> ciflow/inductor/160431 2025-08-14T21:18:08.7511308Z * [new tag] ciflow/inductor/160448 -> ciflow/inductor/160448 2025-08-14T21:18:08.7511733Z * [new tag] ciflow/inductor/160450 -> ciflow/inductor/160450 2025-08-14T21:18:08.7512147Z * [new tag] ciflow/inductor/160455 -> ciflow/inductor/160455 2025-08-14T21:18:08.7512817Z * [new tag] ciflow/inductor/160456 -> ciflow/inductor/160456 2025-08-14T21:18:08.7513249Z * [new tag] ciflow/inductor/160461 -> ciflow/inductor/160461 2025-08-14T21:18:08.7513953Z * [new tag] ciflow/inductor/160462 -> ciflow/inductor/160462 2025-08-14T21:18:08.7514304Z * [new tag] ciflow/inductor/160467 -> ciflow/inductor/160467 2025-08-14T21:18:08.7514624Z * [new tag] ciflow/inductor/160470 -> ciflow/inductor/160470 2025-08-14T21:18:08.7514962Z * [new tag] ciflow/inductor/160473 -> ciflow/inductor/160473 2025-08-14T21:18:08.7515422Z * [new tag] ciflow/inductor/160476 -> ciflow/inductor/160476 2025-08-14T21:18:08.7515789Z * [new tag] ciflow/inductor/160480 -> ciflow/inductor/160480 2025-08-14T21:18:08.7516338Z * [new tag] ciflow/inductor/160481 -> ciflow/inductor/160481 2025-08-14T21:18:08.7516925Z * [new tag] ciflow/inductor/160482 -> ciflow/inductor/160482 2025-08-14T21:18:08.7517233Z * [new tag] ciflow/inductor/160483 -> ciflow/inductor/160483 2025-08-14T21:18:08.7517821Z * [new tag] ciflow/inductor/160485 -> ciflow/inductor/160485 2025-08-14T21:18:08.7518156Z * [new tag] ciflow/inductor/160486 -> ciflow/inductor/160486 2025-08-14T21:18:08.7518676Z * [new tag] ciflow/inductor/160503 -> ciflow/inductor/160503 2025-08-14T21:18:08.7519350Z * [new tag] ciflow/inductor/160510 -> ciflow/inductor/160510 2025-08-14T21:18:08.7519738Z * [new tag] ciflow/inductor/160527 -> ciflow/inductor/160527 2025-08-14T21:18:08.7520057Z * [new tag] ciflow/inductor/160530 -> ciflow/inductor/160530 2025-08-14T21:18:08.7520580Z * [new tag] ciflow/inductor/160531 -> ciflow/inductor/160531 2025-08-14T21:18:08.7521356Z * [new tag] ciflow/inductor/160538 -> ciflow/inductor/160538 2025-08-14T21:18:08.7521745Z * [new tag] ciflow/inductor/160539 -> ciflow/inductor/160539 2025-08-14T21:18:08.7522239Z * [new tag] ciflow/inductor/160540 -> ciflow/inductor/160540 2025-08-14T21:18:08.7522663Z * [new tag] ciflow/inductor/160548 -> ciflow/inductor/160548 2025-08-14T21:18:08.7523072Z * [new tag] ciflow/inductor/160561 -> ciflow/inductor/160561 2025-08-14T21:18:08.7523696Z * [new tag] ciflow/inductor/160576 -> ciflow/inductor/160576 2025-08-14T21:18:08.7524053Z * [new tag] ciflow/inductor/160578 -> ciflow/inductor/160578 2025-08-14T21:18:08.7524582Z * [new tag] ciflow/inductor/160580 -> ciflow/inductor/160580 2025-08-14T21:18:08.7525019Z * [new tag] ciflow/inductor/160583 -> ciflow/inductor/160583 2025-08-14T21:18:08.7525480Z * [new tag] ciflow/inductor/160589 -> ciflow/inductor/160589 2025-08-14T21:18:08.7525978Z * [new tag] ciflow/inductor/160590 -> ciflow/inductor/160590 2025-08-14T21:18:08.7526805Z * [new tag] ciflow/inductor/160592 -> ciflow/inductor/160592 2025-08-14T21:18:08.7527292Z * [new tag] ciflow/inductor/160596 -> ciflow/inductor/160596 2025-08-14T21:18:08.7527790Z * [new tag] ciflow/inductor/160601 -> ciflow/inductor/160601 2025-08-14T21:18:08.7528202Z * [new tag] ciflow/inductor/160607 -> ciflow/inductor/160607 2025-08-14T21:18:08.7528774Z * [new tag] ciflow/inductor/160608 -> ciflow/inductor/160608 2025-08-14T21:18:08.7529141Z * [new tag] ciflow/inductor/160611 -> ciflow/inductor/160611 2025-08-14T21:18:08.7529556Z * [new tag] ciflow/inductor/160614 -> ciflow/inductor/160614 2025-08-14T21:18:08.7529994Z * [new tag] ciflow/inductor/160616 -> ciflow/inductor/160616 2025-08-14T21:18:08.7530412Z * [new tag] ciflow/inductor/160619 -> ciflow/inductor/160619 2025-08-14T21:18:08.7530820Z * [new tag] ciflow/inductor/160625 -> ciflow/inductor/160625 2025-08-14T21:18:08.7531252Z * [new tag] ciflow/inductor/160635 -> ciflow/inductor/160635 2025-08-14T21:18:08.7531750Z * [new tag] ciflow/inductor/160649 -> ciflow/inductor/160649 2025-08-14T21:18:08.7532156Z * [new tag] ciflow/inductor/160658 -> ciflow/inductor/160658 2025-08-14T21:18:08.7532606Z * [new tag] ciflow/inductor/160662 -> ciflow/inductor/160662 2025-08-14T21:18:08.7533080Z * [new tag] ciflow/inductor/160668 -> ciflow/inductor/160668 2025-08-14T21:18:08.7533715Z * [new tag] ciflow/inductor/160669 -> ciflow/inductor/160669 2025-08-14T21:18:08.7534259Z * [new tag] ciflow/inductor/160670 -> ciflow/inductor/160670 2025-08-14T21:18:08.7534598Z * [new tag] ciflow/inductor/160671 -> ciflow/inductor/160671 2025-08-14T21:18:08.7534873Z * [new tag] ciflow/inductor/160677 -> ciflow/inductor/160677 2025-08-14T21:18:08.7535357Z * [new tag] ciflow/inductor/160679 -> ciflow/inductor/160679 2025-08-14T21:18:08.7535927Z * [new tag] ciflow/inductor/3b9a386 -> ciflow/inductor/3b9a386 2025-08-14T21:18:08.7536401Z * [new tag] ciflow/inductor/3d4b92b -> ciflow/inductor/3d4b92b 2025-08-14T21:18:08.7536937Z * [new tag] ciflow/inductor/d224ac7 -> ciflow/inductor/d224ac7 2025-08-14T21:18:08.7537514Z * [new tag] ciflow/linux-aarch64/147855 -> ciflow/linux-aarch64/147855 2025-08-14T21:18:08.7537917Z * [new tag] ciflow/linux-aarch64/157994 -> ciflow/linux-aarch64/157994 2025-08-14T21:18:08.7538321Z * [new tag] ciflow/linux-aarch64/159737 -> ciflow/linux-aarch64/159737 2025-08-14T21:18:08.7538713Z * [new tag] ciflow/linux-aarch64/160078 -> ciflow/linux-aarch64/160078 2025-08-14T21:18:08.7539250Z * [new tag] ciflow/linux-aarch64/160299 -> ciflow/linux-aarch64/160299 2025-08-14T21:18:08.7539950Z * [new tag] ciflow/linux-aarch64/160301 -> ciflow/linux-aarch64/160301 2025-08-14T21:18:08.7540345Z * [new tag] ciflow/mps/155923 -> ciflow/mps/155923 2025-08-14T21:18:08.7540630Z * [new tag] ciflow/mps/157553 -> ciflow/mps/157553 2025-08-14T21:18:08.7540995Z * [new tag] ciflow/mps/157635 -> ciflow/mps/157635 2025-08-14T21:18:08.7541391Z * [new tag] ciflow/mps/160541 -> ciflow/mps/160541 2025-08-14T21:18:08.7541866Z * [new tag] ciflow/nightly/156049 -> ciflow/nightly/156049 2025-08-14T21:18:08.7542285Z * [new tag] ciflow/nightly/158104 -> ciflow/nightly/158104 2025-08-14T21:18:08.7542817Z * [new tag] ciflow/op-benchmark/157994 -> ciflow/op-benchmark/157994 2025-08-14T21:18:08.7543362Z * [new tag] ciflow/periodic-rocm-mi300/139971 -> ciflow/periodic-rocm-mi300/139971 2025-08-14T21:18:08.7543745Z * [new tag] ciflow/periodic-rocm-mi300/160073 -> ciflow/periodic-rocm-mi300/160073 2025-08-14T21:18:08.7544372Z * [new tag] ciflow/periodic-rocm-mi300/160538 -> ciflow/periodic-rocm-mi300/160538 2025-08-14T21:18:08.7545093Z * [new tag] ciflow/periodic/054a2fd -> ciflow/periodic/054a2fd 2025-08-14T21:18:08.7545522Z * [new tag] ciflow/periodic/131296 -> ciflow/periodic/131296 2025-08-14T21:18:08.7545936Z * [new tag] ciflow/periodic/139971 -> ciflow/periodic/139971 2025-08-14T21:18:08.7546322Z * [new tag] ciflow/periodic/143959 -> ciflow/periodic/143959 2025-08-14T21:18:08.7546725Z * [new tag] ciflow/periodic/154595 -> ciflow/periodic/154595 2025-08-14T21:18:08.7547136Z * [new tag] ciflow/periodic/156703 -> ciflow/periodic/156703 2025-08-14T21:18:08.7547544Z * [new tag] ciflow/periodic/160201 -> ciflow/periodic/160201 2025-08-14T21:18:08.7547827Z * [new tag] ciflow/periodic/160424 -> ciflow/periodic/160424 2025-08-14T21:18:08.7548114Z * [new tag] ciflow/periodic/160538 -> ciflow/periodic/160538 2025-08-14T21:18:08.7552662Z * [new tag] ciflow/periodic/1febab2a89302464f6c7d69cfbef7a24c421ea65 -> ciflow/periodic/1febab2a89302464f6c7d69cfbef7a24c421ea65 2025-08-14T21:18:08.7553322Z * [new tag] ciflow/periodic/2a6d37d -> ciflow/periodic/2a6d37d 2025-08-14T21:18:08.7553828Z * [new tag] ciflow/periodic/2ee22e435131369a7e4f8cc4732579acc29a941b -> ciflow/periodic/2ee22e435131369a7e4f8cc4732579acc29a941b 2025-08-14T21:18:08.7559423Z * [new tag] ciflow/periodic/317eeb8 -> ciflow/periodic/317eeb8 2025-08-14T21:18:08.7561260Z * [new tag] ciflow/periodic/3c32 -> ciflow/periodic/3c32 2025-08-14T21:18:08.7561706Z * [new tag] ciflow/periodic/3e98831 -> ciflow/periodic/3e98831 2025-08-14T21:18:08.7566399Z * [new tag] ciflow/periodic/4a773e1e867f28a8ff0b15203e5cd9548f74fcee -> ciflow/periodic/4a773e1e867f28a8ff0b15203e5cd9548f74fcee 2025-08-14T21:18:08.7568320Z * [new tag] ciflow/periodic/5f5f508aa836a46dfe88857fb223049616b94e93 -> ciflow/periodic/5f5f508aa836a46dfe88857fb223049616b94e93 2025-08-14T21:18:08.7568935Z * [new tag] ciflow/periodic/94512-point -> ciflow/periodic/94512-point 2025-08-14T21:18:08.7573812Z * [new tag] ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519 2025-08-14T21:18:08.7574359Z * [new tag] ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275 2025-08-14T21:18:08.7574827Z * [new tag] ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761 2025-08-14T21:18:08.7575318Z * [new tag] ciflow/periodic/d7114f05b10de8e6de81ffc567d63944c3117d51 -> ciflow/periodic/d7114f05b10de8e6de81ffc567d63944c3117d51 2025-08-14T21:18:08.7575839Z * [new tag] ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12 2025-08-14T21:18:08.7576173Z * [new tag] ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0 2025-08-14T21:18:08.7576517Z * [new tag] ciflow/periodic/sha-ec5b83 -> ciflow/periodic/sha-ec5b83 2025-08-14T21:18:08.7576823Z * [new tag] ciflow/rocm-mi300/151360 -> ciflow/rocm-mi300/151360 2025-08-14T21:18:08.7577115Z * [new tag] ciflow/rocm-mi300/159158 -> ciflow/rocm-mi300/159158 2025-08-14T21:18:08.7577397Z * [new tag] ciflow/rocm-mi300/160073 -> ciflow/rocm-mi300/160073 2025-08-14T21:18:08.7577670Z * [new tag] ciflow/rocm-mi300/160468 -> ciflow/rocm-mi300/160468 2025-08-14T21:18:08.7577952Z * [new tag] ciflow/rocm-mi300/160538 -> ciflow/rocm-mi300/160538 2025-08-14T21:18:08.7578235Z * [new tag] ciflow/rocm-mi355/160215 -> ciflow/rocm-mi355/160215 2025-08-14T21:18:08.7578509Z * [new tag] ciflow/rocm/148492 -> ciflow/rocm/148492 2025-08-14T21:18:08.7578774Z * [new tag] ciflow/rocm/151360 -> ciflow/rocm/151360 2025-08-14T21:18:08.7579175Z * [new tag] ciflow/rocm/151845 -> ciflow/rocm/151845 2025-08-14T21:18:08.7579439Z * [new tag] ciflow/rocm/154864 -> ciflow/rocm/154864 2025-08-14T21:18:08.7579808Z * [new tag] ciflow/rocm/156491 -> ciflow/rocm/156491 2025-08-14T21:18:08.7580066Z * [new tag] ciflow/rocm/158219 -> ciflow/rocm/158219 2025-08-14T21:18:08.7580323Z * [new tag] ciflow/rocm/158220 -> ciflow/rocm/158220 2025-08-14T21:18:08.7580586Z * [new tag] ciflow/rocm/158224 -> ciflow/rocm/158224 2025-08-14T21:18:08.7580836Z * [new tag] ciflow/rocm/159158 -> ciflow/rocm/159158 2025-08-14T21:18:08.7581097Z * [new tag] ciflow/rocm/160215 -> ciflow/rocm/160215 2025-08-14T21:18:08.7581357Z * [new tag] ciflow/rocm/160468 -> ciflow/rocm/160468 2025-08-14T21:18:08.7581616Z * [new tag] ciflow/rocm/160538 -> ciflow/rocm/160538 2025-08-14T21:18:08.7581868Z * [new tag] ciflow/s390/143959 -> ciflow/s390/143959 2025-08-14T21:18:08.7582136Z * [new tag] ciflow/slow/01c7106 -> ciflow/slow/01c7106 2025-08-14T21:18:08.7582405Z * [new tag] ciflow/slow/0577043 -> ciflow/slow/0577043 2025-08-14T21:18:08.7582860Z * [new tag] ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym 2025-08-14T21:18:08.7583350Z * [new tag] ciflow/slow/0e81104 -> ciflow/slow/0e81104 2025-08-14T21:18:08.7583620Z * [new tag] ciflow/slow/154595 -> ciflow/slow/154595 2025-08-14T21:18:08.7583883Z * [new tag] ciflow/slow/1732077 -> ciflow/slow/1732077 2025-08-14T21:18:08.7584148Z * [new tag] ciflow/slow/187eb7c -> ciflow/slow/187eb7c 2025-08-14T21:18:08.7584407Z * [new tag] ciflow/slow/1faef89 -> ciflow/slow/1faef89 2025-08-14T21:18:08.7584672Z * [new tag] ciflow/slow/3920ec1 -> ciflow/slow/3920ec1 2025-08-14T21:18:08.7584939Z * [new tag] ciflow/slow/3b7c6b2 -> ciflow/slow/3b7c6b2 2025-08-14T21:18:08.7585197Z * [new tag] ciflow/slow/59a3759 -> ciflow/slow/59a3759 2025-08-14T21:18:08.7585466Z * [new tag] ciflow/slow/70ef0bb -> ciflow/slow/70ef0bb 2025-08-14T21:18:08.7585733Z * [new tag] ciflow/slow/788ff06 -> ciflow/slow/788ff06 2025-08-14T21:18:08.7586156Z * [new tag] ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym 2025-08-14T21:18:08.7586566Z * [new tag] ciflow/slow/9d85864 -> ciflow/slow/9d85864 2025-08-14T21:18:08.7586829Z * [new tag] ciflow/slow/9ffad5b -> ciflow/slow/9ffad5b 2025-08-14T21:18:08.7587111Z * [new tag] ciflow/slow/a206e8b -> ciflow/slow/a206e8b 2025-08-14T21:18:08.7587373Z * [new tag] ciflow/slow/a837609 -> ciflow/slow/a837609 2025-08-14T21:18:08.7587624Z * [new tag] ciflow/slow/af841f3 -> ciflow/slow/af841f3 2025-08-14T21:18:08.7588066Z * [new tag] ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym 2025-08-14T21:18:08.7588507Z * [new tag] ciflow/trunk/131296 -> ciflow/trunk/131296 2025-08-14T21:18:08.7588771Z * [new tag] ciflow/trunk/137400 -> ciflow/trunk/137400 2025-08-14T21:18:08.7589023Z * [new tag] ciflow/trunk/138996 -> ciflow/trunk/138996 2025-08-14T21:18:08.7589285Z * [new tag] ciflow/trunk/139971 -> ciflow/trunk/139971 2025-08-14T21:18:08.7589581Z * [new tag] ciflow/trunk/147360 -> ciflow/trunk/147360 2025-08-14T21:18:08.7589829Z * [new tag] ciflow/trunk/147855 -> ciflow/trunk/147855 2025-08-14T21:18:08.7590100Z * [new tag] ciflow/trunk/148180 -> ciflow/trunk/148180 2025-08-14T21:18:08.7590350Z * [new tag] ciflow/trunk/148328 -> ciflow/trunk/148328 2025-08-14T21:18:08.7590599Z * [new tag] ciflow/trunk/148492 -> ciflow/trunk/148492 2025-08-14T21:18:08.7590842Z * [new tag] ciflow/trunk/150282 -> ciflow/trunk/150282 2025-08-14T21:18:08.7591097Z * [new tag] ciflow/trunk/150302 -> ciflow/trunk/150302 2025-08-14T21:18:08.7591348Z * [new tag] ciflow/trunk/151845 -> ciflow/trunk/151845 2025-08-14T21:18:08.7591599Z * [new tag] ciflow/trunk/152624 -> ciflow/trunk/152624 2025-08-14T21:18:08.7591847Z * [new tag] ciflow/trunk/154193 -> ciflow/trunk/154193 2025-08-14T21:18:08.7592101Z * [new tag] ciflow/trunk/154595 -> ciflow/trunk/154595 2025-08-14T21:18:08.7592356Z * [new tag] ciflow/trunk/154650 -> ciflow/trunk/154650 2025-08-14T21:18:08.7592600Z * [new tag] ciflow/trunk/154694 -> ciflow/trunk/154694 2025-08-14T21:18:08.7592851Z * [new tag] ciflow/trunk/155958 -> ciflow/trunk/155958 2025-08-14T21:18:08.7593104Z * [new tag] ciflow/trunk/156049 -> ciflow/trunk/156049 2025-08-14T21:18:08.7593388Z * [new tag] ciflow/trunk/156703 -> ciflow/trunk/156703 2025-08-14T21:18:08.7593643Z * [new tag] ciflow/trunk/156851 -> ciflow/trunk/156851 2025-08-14T21:18:08.7593898Z * [new tag] ciflow/trunk/157148 -> ciflow/trunk/157148 2025-08-14T21:18:08.7594153Z * [new tag] ciflow/trunk/157152 -> ciflow/trunk/157152 2025-08-14T21:18:08.7594411Z * [new tag] ciflow/trunk/157432 -> ciflow/trunk/157432 2025-08-14T21:18:08.7594660Z * [new tag] ciflow/trunk/157685 -> ciflow/trunk/157685 2025-08-14T21:18:08.7594915Z * [new tag] ciflow/trunk/157689 -> ciflow/trunk/157689 2025-08-14T21:18:08.7595172Z * [new tag] ciflow/trunk/157699 -> ciflow/trunk/157699 2025-08-14T21:18:08.7595270Z * [new tag] ciflow/trunk/157813 -> ciflow/trunk/157813 2025-08-14T21:18:08.7595378Z * [new tag] ciflow/trunk/157994 -> ciflow/trunk/157994 2025-08-14T21:18:08.7595477Z * [new tag] ciflow/trunk/158091 -> ciflow/trunk/158091 2025-08-14T21:18:08.7595576Z * [new tag] ciflow/trunk/158104 -> ciflow/trunk/158104 2025-08-14T21:18:08.7595681Z * [new tag] ciflow/trunk/158219 -> ciflow/trunk/158219 2025-08-14T21:18:08.7595780Z * [new tag] ciflow/trunk/158220 -> ciflow/trunk/158220 2025-08-14T21:18:08.7595878Z * [new tag] ciflow/trunk/158224 -> ciflow/trunk/158224 2025-08-14T21:18:08.7595999Z * [new tag] ciflow/trunk/158529 -> ciflow/trunk/158529 2025-08-14T21:18:08.7596097Z * [new tag] ciflow/trunk/158647 -> ciflow/trunk/158647 2025-08-14T21:18:08.7596212Z * [new tag] ciflow/trunk/158810 -> ciflow/trunk/158810 2025-08-14T21:18:08.7596313Z * [new tag] ciflow/trunk/158812 -> ciflow/trunk/158812 2025-08-14T21:18:08.7596416Z * [new tag] ciflow/trunk/158863 -> ciflow/trunk/158863 2025-08-14T21:18:08.7596521Z * [new tag] ciflow/trunk/158864 -> ciflow/trunk/158864 2025-08-14T21:18:08.7596619Z * [new tag] ciflow/trunk/158883 -> ciflow/trunk/158883 2025-08-14T21:18:08.7596722Z * [new tag] ciflow/trunk/158914 -> ciflow/trunk/158914 2025-08-14T21:18:08.7597020Z * [new tag] ciflow/trunk/158965 -> ciflow/trunk/158965 2025-08-14T21:18:08.7597141Z * [new tag] ciflow/trunk/158987 -> ciflow/trunk/158987 2025-08-14T21:18:08.7597259Z * [new tag] ciflow/trunk/159033 -> ciflow/trunk/159033 2025-08-14T21:18:08.7598433Z * [new tag] ciflow/trunk/159140 -> ciflow/trunk/159140 2025-08-14T21:18:08.7598892Z * [new tag] ciflow/trunk/159158 -> ciflow/trunk/159158 2025-08-14T21:18:08.7599031Z * [new tag] ciflow/trunk/159553 -> ciflow/trunk/159553 2025-08-14T21:18:08.7599134Z * [new tag] ciflow/trunk/159562 -> ciflow/trunk/159562 2025-08-14T21:18:08.7599583Z * [new tag] ciflow/trunk/159682 -> ciflow/trunk/159682 2025-08-14T21:18:08.7600144Z * [new tag] ciflow/trunk/159691 -> ciflow/trunk/159691 2025-08-14T21:18:08.7600398Z * [new tag] ciflow/trunk/159842 -> ciflow/trunk/159842 2025-08-14T21:18:08.7600869Z * [new tag] ciflow/trunk/159889 -> ciflow/trunk/159889 2025-08-14T21:18:08.7601260Z * [new tag] ciflow/trunk/159923 -> ciflow/trunk/159923 2025-08-14T21:18:08.7601627Z * [new tag] ciflow/trunk/160004 -> ciflow/trunk/160004 2025-08-14T21:18:08.7602034Z * [new tag] ciflow/trunk/160113 -> ciflow/trunk/160113 2025-08-14T21:18:08.7602456Z * [new tag] ciflow/trunk/160161 -> ciflow/trunk/160161 2025-08-14T21:18:08.7602926Z * [new tag] ciflow/trunk/160168 -> ciflow/trunk/160168 2025-08-14T21:18:08.7603234Z * [new tag] ciflow/trunk/160181 -> ciflow/trunk/160181 2025-08-14T21:18:08.7603660Z * [new tag] ciflow/trunk/160183 -> ciflow/trunk/160183 2025-08-14T21:18:08.7604111Z * [new tag] ciflow/trunk/160190 -> ciflow/trunk/160190 2025-08-14T21:18:08.7604543Z * [new tag] ciflow/trunk/160198 -> ciflow/trunk/160198 2025-08-14T21:18:08.7604941Z * [new tag] ciflow/trunk/160205 -> ciflow/trunk/160205 2025-08-14T21:18:08.7605367Z * [new tag] ciflow/trunk/160219 -> ciflow/trunk/160219 2025-08-14T21:18:08.7605774Z * [new tag] ciflow/trunk/160224 -> ciflow/trunk/160224 2025-08-14T21:18:08.7606308Z * [new tag] ciflow/trunk/160250 -> ciflow/trunk/160250 2025-08-14T21:18:08.7606766Z * [new tag] ciflow/trunk/160253 -> ciflow/trunk/160253 2025-08-14T21:18:08.7608284Z * [new tag] ciflow/trunk/160335 -> ciflow/trunk/160335 2025-08-14T21:18:08.7608570Z * [new tag] ciflow/trunk/160338 -> ciflow/trunk/160338 2025-08-14T21:18:08.7608705Z * [new tag] ciflow/trunk/160383 -> ciflow/trunk/160383 2025-08-14T21:18:08.7608907Z * [new tag] ciflow/trunk/160401 -> ciflow/trunk/160401 2025-08-14T21:18:08.7609239Z * [new tag] ciflow/trunk/160403 -> ciflow/trunk/160403 2025-08-14T21:18:08.7609366Z * [new tag] ciflow/trunk/160430 -> ciflow/trunk/160430 2025-08-14T21:18:08.7611227Z * [new tag] ciflow/trunk/160431 -> ciflow/trunk/160431 2025-08-14T21:18:08.7611516Z * [new tag] ciflow/trunk/160439 -> ciflow/trunk/160439 2025-08-14T21:18:08.7611658Z * [new tag] ciflow/trunk/160449 -> ciflow/trunk/160449 2025-08-14T21:18:08.7611844Z * [new tag] ciflow/trunk/160454 -> ciflow/trunk/160454 2025-08-14T21:18:08.7613559Z * [new tag] ciflow/trunk/160468 -> ciflow/trunk/160468 2025-08-14T21:18:08.7613703Z * [new tag] ciflow/trunk/160481 -> ciflow/trunk/160481 2025-08-14T21:18:08.7613811Z * [new tag] ciflow/trunk/160485 -> ciflow/trunk/160485 2025-08-14T21:18:08.7614113Z * [new tag] ciflow/trunk/160519 -> ciflow/trunk/160519 2025-08-14T21:18:08.7614237Z * [new tag] ciflow/trunk/160527 -> ciflow/trunk/160527 2025-08-14T21:18:08.7614387Z * [new tag] ciflow/trunk/160560 -> ciflow/trunk/160560 2025-08-14T21:18:08.7614804Z * [new tag] ciflow/trunk/160578 -> ciflow/trunk/160578 2025-08-14T21:18:08.7615150Z * [new tag] ciflow/trunk/160589 -> ciflow/trunk/160589 2025-08-14T21:18:08.7615616Z * [new tag] ciflow/trunk/160592 -> ciflow/trunk/160592 2025-08-14T21:18:08.7615997Z * [new tag] ciflow/trunk/160649 -> ciflow/trunk/160649 2025-08-14T21:18:08.7616403Z * [new tag] ciflow/trunk/160656 -> ciflow/trunk/160656 2025-08-14T21:18:08.7617328Z * [new tag] ciflow/unstable/123 -> ciflow/unstable/123 2025-08-14T21:18:08.7617583Z * [new tag] ciflow/vllm/160116 -> ciflow/vllm/160116 2025-08-14T21:18:08.7617990Z * [new tag] ciflow/vllm/160583 -> ciflow/vllm/160583 2025-08-14T21:18:08.7618380Z * [new tag] ciflow/vllm/160619 -> ciflow/vllm/160619 2025-08-14T21:18:08.7621080Z * [new tag] ciflow/vllm/160625 -> ciflow/vllm/160625 2025-08-14T21:18:08.7621371Z * [new tag] ciflow/vllm/160627 -> ciflow/vllm/160627 2025-08-14T21:18:08.7621761Z * [new tag] ciflow/win-arm64/156049 -> ciflow/win-arm64/156049 2025-08-14T21:18:08.7622024Z * [new tag] ciflow/win-arm64/158104 -> ciflow/win-arm64/158104 2025-08-14T21:18:08.7622171Z * [new tag] ciflow/win-arm64/159553 -> ciflow/win-arm64/159553 2025-08-14T21:18:08.7622286Z * [new tag] ciflow/win-arm64/159562 -> ciflow/win-arm64/159562 2025-08-14T21:18:08.7622529Z * [new tag] ciflow/win-arm64/159777 -> ciflow/win-arm64/159777 2025-08-14T21:18:08.7622653Z * [new tag] ciflow/win-arm64/159780 -> ciflow/win-arm64/159780 2025-08-14T21:18:08.7622835Z * [new tag] ciflow/win-arm64/159842 -> ciflow/win-arm64/159842 2025-08-14T21:18:08.7622968Z * [new tag] ciflow/win-arm64/160250 -> ciflow/win-arm64/160250 2025-08-14T21:18:08.7623538Z * [new tag] ciflow/win-arm64/160253 -> ciflow/win-arm64/160253 2025-08-14T21:18:08.7623716Z * [new tag] ciflow/win-arm64/160454 -> ciflow/win-arm64/160454 2025-08-14T21:18:08.7623977Z * [new tag] ciflow/win-arm64/160560 -> ciflow/win-arm64/160560 2025-08-14T21:18:08.7624428Z * [new tag] ciflow/xpu/138996 -> ciflow/xpu/138996 2025-08-14T21:18:08.7624764Z * [new tag] ciflow/xpu/139971 -> ciflow/xpu/139971 2025-08-14T21:18:08.7626033Z * [new tag] ciflow/xpu/140972 -> ciflow/xpu/140972 2025-08-14T21:18:08.7626289Z * [new tag] ciflow/xpu/143553 -> ciflow/xpu/143553 2025-08-14T21:18:08.7626477Z * [new tag] ciflow/xpu/156272 -> ciflow/xpu/156272 2025-08-14T21:18:08.7626589Z * [new tag] ciflow/xpu/156812 -> ciflow/xpu/156812 2025-08-14T21:18:08.7628452Z * [new tag] ciflow/xpu/157699 -> ciflow/xpu/157699 2025-08-14T21:18:08.7628731Z * [new tag] ciflow/xpu/157994 -> ciflow/xpu/157994 2025-08-14T21:18:08.7628875Z * [new tag] ciflow/xpu/158336 -> ciflow/xpu/158336 2025-08-14T21:18:08.7628979Z * [new tag] ciflow/xpu/158733 -> ciflow/xpu/158733 2025-08-14T21:18:08.7629205Z * [new tag] ciflow/xpu/159033 -> ciflow/xpu/159033 2025-08-14T21:18:08.7629331Z * [new tag] ciflow/xpu/159118 -> ciflow/xpu/159118 2025-08-14T21:18:08.7629769Z * [new tag] ciflow/xpu/159140 -> ciflow/xpu/159140 2025-08-14T21:18:08.7630681Z * [new tag] ciflow/xpu/159241 -> ciflow/xpu/159241 2025-08-14T21:18:08.7630798Z * [new tag] ciflow/xpu/159473 -> ciflow/xpu/159473 2025-08-14T21:18:08.7633273Z * [new tag] ciflow/xpu/159474 -> ciflow/xpu/159474 2025-08-14T21:18:08.7633558Z * [new tag] ciflow/xpu/159553 -> ciflow/xpu/159553 2025-08-14T21:18:08.7633708Z * [new tag] ciflow/xpu/159944 -> ciflow/xpu/159944 2025-08-14T21:18:08.7633809Z * [new tag] ciflow/xpu/160062 -> ciflow/xpu/160062 2025-08-14T21:18:08.7633908Z * [new tag] ciflow/xpu/160067 -> ciflow/xpu/160067 2025-08-14T21:18:08.7634142Z * [new tag] ciflow/xpu/160158 -> ciflow/xpu/160158 2025-08-14T21:18:08.7634259Z * [new tag] ciflow/xpu/160173 -> ciflow/xpu/160173 2025-08-14T21:18:08.7634788Z * [new tag] ciflow/xpu/160183 -> ciflow/xpu/160183 2025-08-14T21:18:08.7635104Z * [new tag] ciflow/xpu/160301 -> ciflow/xpu/160301 2025-08-14T21:18:08.7635512Z * [new tag] ciflow/xpu/160403 -> ciflow/xpu/160403 2025-08-14T21:18:08.7637252Z * [new tag] ciflow/xpu/160606 -> ciflow/xpu/160606 2025-08-14T21:18:08.7637540Z * [new tag] cslpull75 -> cslpull75 2025-08-14T21:18:08.7637785Z * [new tag] cslpull76 -> cslpull76 2025-08-14T21:18:08.7638021Z * [new tag] cslpull77 -> cslpull77 2025-08-14T21:18:08.7638129Z * [new tag] cslpull78 -> cslpull78 2025-08-14T21:18:08.7638594Z * [new tag] cslpull79 -> cslpull79 2025-08-14T21:18:08.7640099Z * [new tag] cslpull80 -> cslpull80 2025-08-14T21:18:08.7640373Z * [new tag] cslpull81 -> cslpull81 2025-08-14T21:18:08.7640496Z * [new tag] cslpull82 -> cslpull82 2025-08-14T21:18:08.7640589Z * [new tag] cslpull83 -> cslpull83 2025-08-14T21:18:08.7642959Z * [new tag] cslpull84 -> cslpull84 2025-08-14T21:18:08.7643228Z * [new tag] cslpull85 -> cslpull85 2025-08-14T21:18:08.7643360Z * [new tag] cslpull86 -> cslpull86 2025-08-14T21:18:08.7643452Z * [new tag] cslpull87 -> cslpull87 2025-08-14T21:18:08.7643672Z * [new tag] cslpull88 -> cslpull88 2025-08-14T21:18:08.7643775Z * [new tag] cslpull89 -> cslpull89 2025-08-14T21:18:08.7644054Z * [new tag] cslpull90 -> cslpull90 2025-08-14T21:18:08.7648212Z * [new tag] cslpull91 -> cslpull91 2025-08-14T21:18:08.7648434Z * [new tag] cslpull92 -> cslpull92 2025-08-14T21:18:08.7654047Z * [new tag] flight_5 -> flight_5 2025-08-14T21:18:08.7654321Z * [new tag] flight_5.1 -> flight_5.1 2025-08-14T21:18:08.7654443Z * [new tag] flight_5.2 -> flight_5.2 2025-08-14T21:18:08.7654615Z * [new tag] flight_5.3 -> flight_5.3 2025-08-14T21:18:08.7654727Z * [new tag] forpull1 -> forpull1 2025-08-14T21:18:08.7654903Z * [new tag] malfet/tag-2ef5611 -> malfet/tag-2ef5611 2025-08-14T21:18:08.7655021Z * [new tag] malfet/tag-317b1a0 -> malfet/tag-317b1a0 2025-08-14T21:18:08.7655205Z * [new tag] malfet/tag-ec6f767 -> malfet/tag-ec6f767 2025-08-14T21:18:08.7655470Z * [new tag] nightly-binary -> nightly-binary 2025-08-14T21:18:08.7655889Z * [new tag] sqzhang_flight4_plus -> sqzhang_flight4_plus 2025-08-14T21:18:08.7656014Z * [new tag] sqzhang_flight_3 -> sqzhang_flight_3 2025-08-14T21:18:08.7656251Z * [new tag] trunk/01584d2a7d029c9749eb73678cf1dc313cc35df6 -> trunk/01584d2a7d029c9749eb73678cf1dc313cc35df6 2025-08-14T21:18:08.7656476Z * [new tag] trunk/017259f9c65b6fad55fb9597d7077e2543eaae46 -> trunk/017259f9c65b6fad55fb9597d7077e2543eaae46 2025-08-14T21:18:08.7656693Z * [new tag] trunk/01bcf9a40dea937637d2cdd530bed2652510943d -> trunk/01bcf9a40dea937637d2cdd530bed2652510943d 2025-08-14T21:18:08.7656902Z * [new tag] trunk/01f66d08d93365015f4af005a252f439c4d4013a -> trunk/01f66d08d93365015f4af005a252f439c4d4013a 2025-08-14T21:18:08.7657106Z * [new tag] trunk/03b254e49f2d4c092e6ca712e5702cf2895aa47e -> trunk/03b254e49f2d4c092e6ca712e5702cf2895aa47e 2025-08-14T21:18:08.7657322Z * [new tag] trunk/05029ad1c30865d3f7e7fd13384db9d826e563eb -> trunk/05029ad1c30865d3f7e7fd13384db9d826e563eb 2025-08-14T21:18:08.7657527Z * [new tag] trunk/05c19d1acecc01b0d2512364183058a6885b9869 -> trunk/05c19d1acecc01b0d2512364183058a6885b9869 2025-08-14T21:18:08.7657729Z * [new tag] trunk/05c417715f791875fbf28cfc3fc86142de1a3206 -> trunk/05c417715f791875fbf28cfc3fc86142de1a3206 2025-08-14T21:18:08.7658065Z * [new tag] trunk/06824f3c7268bb807a422b663047cd0900ddd126 -> trunk/06824f3c7268bb807a422b663047cd0900ddd126 2025-08-14T21:18:08.7658284Z * [new tag] trunk/077cb389746a7d61cfc018aad2ba29a8aa195610 -> trunk/077cb389746a7d61cfc018aad2ba29a8aa195610 2025-08-14T21:18:08.7658507Z * [new tag] trunk/089c4a1ba007ed4abb3e5e0eafd97b7584566057 -> trunk/089c4a1ba007ed4abb3e5e0eafd97b7584566057 2025-08-14T21:18:08.7658729Z * [new tag] trunk/09381f5dacda7bbbfa361f5df76bde5cd309adc1 -> trunk/09381f5dacda7bbbfa361f5df76bde5cd309adc1 2025-08-14T21:18:08.7658951Z * [new tag] trunk/0bd3af4fb87445f4de3a1f9b823e399c8b3cefde -> trunk/0bd3af4fb87445f4de3a1f9b823e399c8b3cefde 2025-08-14T21:18:08.7659169Z * [new tag] trunk/0d3461bac0fb5177e35152d980b301ea3a0aa2c4 -> trunk/0d3461bac0fb5177e35152d980b301ea3a0aa2c4 2025-08-14T21:18:08.7659632Z * [new tag] trunk/0d40ff3b496e68193bc16d5391fa2e3623709f81 -> trunk/0d40ff3b496e68193bc16d5391fa2e3623709f81 2025-08-14T21:18:08.7659962Z * [new tag] trunk/0d71ca2c46753bb268bfdcf815c14415c122a289 -> trunk/0d71ca2c46753bb268bfdcf815c14415c122a289 2025-08-14T21:18:08.7660292Z * [new tag] trunk/0d88593dd826544c9e7bd4aa615ef86847a78d2b -> trunk/0d88593dd826544c9e7bd4aa615ef86847a78d2b 2025-08-14T21:18:08.7660809Z * [new tag] trunk/0e3e377bd5126cfcc69d70c4d77b352d3404cc11 -> trunk/0e3e377bd5126cfcc69d70c4d77b352d3404cc11 2025-08-14T21:18:08.7661385Z * [new tag] trunk/0f3b10b8eebe68e3c75d473d499b87dfe14a2eca -> trunk/0f3b10b8eebe68e3c75d473d499b87dfe14a2eca 2025-08-14T21:18:08.7662008Z * [new tag] trunk/101276f81b4d2a8c31bfd6796b986d4c1bfdf483 -> trunk/101276f81b4d2a8c31bfd6796b986d4c1bfdf483 2025-08-14T21:18:08.7662480Z * [new tag] trunk/1028c5e2d50e121865bf98307e7c035f549a24b2 -> trunk/1028c5e2d50e121865bf98307e7c035f549a24b2 2025-08-14T21:18:08.7663012Z * [new tag] trunk/10bc36fe840cb3510fab84d2ea22663b76702f1e -> trunk/10bc36fe840cb3510fab84d2ea22663b76702f1e 2025-08-14T21:18:08.7663488Z * [new tag] trunk/10e3514c962b58cbbee994257872a626ff76d51b -> trunk/10e3514c962b58cbbee994257872a626ff76d51b 2025-08-14T21:18:08.7663978Z * [new tag] trunk/1128f4c2a822cbe34a9d966306af15097179ffe1 -> trunk/1128f4c2a822cbe34a9d966306af15097179ffe1 2025-08-14T21:18:08.7664600Z * [new tag] trunk/114a6c40434bfb9cfa5abc30e9e34d81300d743e -> trunk/114a6c40434bfb9cfa5abc30e9e34d81300d743e 2025-08-14T21:18:08.7665093Z * [new tag] trunk/118bc97b14c24ac88a4b0c0750a9e7bf93154c76 -> trunk/118bc97b14c24ac88a4b0c0750a9e7bf93154c76 2025-08-14T21:18:08.7666835Z * [new tag] trunk/1196bb1c2e4d5a7edc09f2260e3034132f0c6c91 -> trunk/1196bb1c2e4d5a7edc09f2260e3034132f0c6c91 2025-08-14T21:18:08.7667239Z * [new tag] trunk/11a3565f1872bbad9c253a127e8d4ce7a1b40ec8 -> trunk/11a3565f1872bbad9c253a127e8d4ce7a1b40ec8 2025-08-14T21:18:08.7667599Z * [new tag] trunk/15e49f61643e4c0eef420f0981609709ef55b848 -> trunk/15e49f61643e4c0eef420f0981609709ef55b848 2025-08-14T21:18:08.7667934Z * [new tag] trunk/16d15445f8bd8740095b23de4af89d757af793ca -> trunk/16d15445f8bd8740095b23de4af89d757af793ca 2025-08-14T21:18:08.7668226Z * [new tag] trunk/178515d0ff6833c8e9221482b2a650ab31e00019 -> trunk/178515d0ff6833c8e9221482b2a650ab31e00019 2025-08-14T21:18:08.7668531Z * [new tag] trunk/182efe31dbe43376e7eef7338356aaf94d5bcabe -> trunk/182efe31dbe43376e7eef7338356aaf94d5bcabe 2025-08-14T21:18:08.7669004Z * [new tag] trunk/194fcfcfbdad0add1a1b695321e31a576058f4cf -> trunk/194fcfcfbdad0add1a1b695321e31a576058f4cf 2025-08-14T21:18:08.7669599Z * [new tag] trunk/195b5c2e27eb8f21cbc8ad1e90f42db5a8cfccca -> trunk/195b5c2e27eb8f21cbc8ad1e90f42db5a8cfccca 2025-08-14T21:18:08.7670151Z * [new tag] trunk/198b5fd2d47fa3d5110ceba6827a3b18e0064014 -> trunk/198b5fd2d47fa3d5110ceba6827a3b18e0064014 2025-08-14T21:18:08.7670717Z * [new tag] trunk/199e9abb6a366bbd27c39d1da7c3123b4eea9b5a -> trunk/199e9abb6a366bbd27c39d1da7c3123b4eea9b5a 2025-08-14T21:18:08.7671119Z * [new tag] trunk/19b4283884b2d9b3a0eb364da10b1540d14ab7a7 -> trunk/19b4283884b2d9b3a0eb364da10b1540d14ab7a7 2025-08-14T21:18:08.7673623Z * [new tag] trunk/1c2587119152cec3905647a47c65d3d26619c5a8 -> trunk/1c2587119152cec3905647a47c65d3d26619c5a8 2025-08-14T21:18:08.7674031Z * [new tag] trunk/1c26c53851c212a7c90a325549a72f0571613a8c -> trunk/1c26c53851c212a7c90a325549a72f0571613a8c 2025-08-14T21:18:08.7674397Z * [new tag] trunk/1c2cba17eab2b09d87142883da2bdbdbcf018613 -> trunk/1c2cba17eab2b09d87142883da2bdbdbcf018613 2025-08-14T21:18:08.7674736Z * [new tag] trunk/1d80d697a269234b47ec7ede192faf3bb9b159e3 -> trunk/1d80d697a269234b47ec7ede192faf3bb9b159e3 2025-08-14T21:18:08.7675390Z * [new tag] trunk/1ea688f9a2602fbcde32c0302b822526ca4219dc -> trunk/1ea688f9a2602fbcde32c0302b822526ca4219dc 2025-08-14T21:18:08.7675636Z * [new tag] trunk/1f4057c11ac941fb324386ca594d0a6882185aad -> trunk/1f4057c11ac941fb324386ca594d0a6882185aad 2025-08-14T21:18:08.7675847Z * [new tag] trunk/1fc683cf17c8c673044538d10266c00f92987be2 -> trunk/1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:18:08.7676076Z * [new tag] trunk/1febab2a89302464f6c7d69cfbef7a24c421ea65 -> trunk/1febab2a89302464f6c7d69cfbef7a24c421ea65 2025-08-14T21:18:08.7676448Z * [new tag] trunk/206c1eef6571f906c2792d899a09136b3fce9673 -> trunk/206c1eef6571f906c2792d899a09136b3fce9673 2025-08-14T21:18:08.7677056Z * [new tag] trunk/20bdabbb3c5d6b118a94b2e045c777662563d5bb -> trunk/20bdabbb3c5d6b118a94b2e045c777662563d5bb 2025-08-14T21:18:08.7677294Z * [new tag] trunk/21392c0e06ac2b2621950455975ca6332f0bf641 -> trunk/21392c0e06ac2b2621950455975ca6332f0bf641 2025-08-14T21:18:08.7677699Z * [new tag] trunk/2247aa6d1d43e256255f5c74a781c3190a4387b6 -> trunk/2247aa6d1d43e256255f5c74a781c3190a4387b6 2025-08-14T21:18:08.7678035Z * [new tag] trunk/2259dbed4e0d3f2a8174b5847fd0741aed42451d -> trunk/2259dbed4e0d3f2a8174b5847fd0741aed42451d 2025-08-14T21:18:08.7678269Z * [new tag] trunk/231c72240d80091f099c95e326d3600cba866eee -> trunk/231c72240d80091f099c95e326d3600cba866eee 2025-08-14T21:18:08.7678740Z * [new tag] trunk/24257f5bfaa37795f74d9f64c1b43584128d4b8c -> trunk/24257f5bfaa37795f74d9f64c1b43584128d4b8c 2025-08-14T21:18:08.7682533Z * [new tag] trunk/24f43d0da7ad9c6e95a09a2fee610387728cc1cd -> trunk/24f43d0da7ad9c6e95a09a2fee610387728cc1cd 2025-08-14T21:18:08.7682937Z * [new tag] trunk/2898d3f965e5cd9d02fc2ecdab7c580fd457fea9 -> trunk/2898d3f965e5cd9d02fc2ecdab7c580fd457fea9 2025-08-14T21:18:08.7683299Z * [new tag] trunk/28ccc9e7247798980fe00a11bcd64a8016b5f227 -> trunk/28ccc9e7247798980fe00a11bcd64a8016b5f227 2025-08-14T21:18:08.7683990Z * [new tag] trunk/29712314dd5cf500a8ea3d1c69483a3cb768ca72 -> trunk/29712314dd5cf500a8ea3d1c69483a3cb768ca72 2025-08-14T21:18:08.7684248Z * [new tag] trunk/29d20d49f0b7f4e362e1cefdcdc4b5659969312c -> trunk/29d20d49f0b7f4e362e1cefdcdc4b5659969312c 2025-08-14T21:18:08.7684483Z * [new tag] trunk/2c5e10a5fceb208b11c3d569ae02e348b5893b31 -> trunk/2c5e10a5fceb208b11c3d569ae02e348b5893b31 2025-08-14T21:18:08.7684716Z * [new tag] trunk/2d0cdee394bccadcd0abe19dd4623ed978a331ad -> trunk/2d0cdee394bccadcd0abe19dd4623ed978a331ad 2025-08-14T21:18:08.7684934Z * [new tag] trunk/2e4e5ab4be9e0aeffd9c49b5b2f9f820bd0895b1 -> trunk/2e4e5ab4be9e0aeffd9c49b5b2f9f820bd0895b1 2025-08-14T21:18:08.7685153Z * [new tag] trunk/2ea40fba841b3af8103f332ba62e54f350ba9a51 -> trunk/2ea40fba841b3af8103f332ba62e54f350ba9a51 2025-08-14T21:18:08.7685489Z * [new tag] trunk/2ee22e435131369a7e4f8cc4732579acc29a941b -> trunk/2ee22e435131369a7e4f8cc4732579acc29a941b 2025-08-14T21:18:08.7685704Z * [new tag] trunk/2f4c2226175512af787725c4d5ad7313c60d4db1 -> trunk/2f4c2226175512af787725c4d5ad7313c60d4db1 2025-08-14T21:18:08.7685919Z * [new tag] trunk/3008d985a8fc155eb89374afff50cb33a6bd10d5 -> trunk/3008d985a8fc155eb89374afff50cb33a6bd10d5 2025-08-14T21:18:08.7686126Z * [new tag] trunk/3028fa6ce9d9c96671722ab8213a1a30670d7cf2 -> trunk/3028fa6ce9d9c96671722ab8213a1a30670d7cf2 2025-08-14T21:18:08.7686518Z * [new tag] trunk/303c614f3df95ae2b659c5f6c1838b14e4776ce6 -> trunk/303c614f3df95ae2b659c5f6c1838b14e4776ce6 2025-08-14T21:18:08.7686746Z * [new tag] trunk/305fa2239365ad17ac9c534a68bba8a149c42d67 -> trunk/305fa2239365ad17ac9c534a68bba8a149c42d67 2025-08-14T21:18:08.7687299Z * [new tag] trunk/31c9ac4319c0cc2ed8c6be701c6ccf73f6cb4706 -> trunk/31c9ac4319c0cc2ed8c6be701c6ccf73f6cb4706 2025-08-14T21:18:08.7687777Z * [new tag] trunk/32099961d588fc19ead8afe805d6b5108de75669 -> trunk/32099961d588fc19ead8afe805d6b5108de75669 2025-08-14T21:18:08.7688965Z * [new tag] trunk/32e5e2f596d55bb9441d5d53f3c58bcb55828047 -> trunk/32e5e2f596d55bb9441d5d53f3c58bcb55828047 2025-08-14T21:18:08.7689202Z * [new tag] trunk/334b38ccc4427b1d14981c48a3a0b92180d58225 -> trunk/334b38ccc4427b1d14981c48a3a0b92180d58225 2025-08-14T21:18:08.7689455Z * [new tag] trunk/334ecbd4ffe11858cae7d23d1190ddb4777c2513 -> trunk/334ecbd4ffe11858cae7d23d1190ddb4777c2513 2025-08-14T21:18:08.7689802Z * [new tag] trunk/33d94018668951611b318b7515ae96f04e48eac0 -> trunk/33d94018668951611b318b7515ae96f04e48eac0 2025-08-14T21:18:08.7690309Z * [new tag] trunk/34358f335d95213d96b6cca6a83e7bf3af6a9fcb -> trunk/34358f335d95213d96b6cca6a83e7bf3af6a9fcb 2025-08-14T21:18:08.7690941Z * [new tag] trunk/34ec5ed275f8aa875c80daa97b3e82af0b06f673 -> trunk/34ec5ed275f8aa875c80daa97b3e82af0b06f673 2025-08-14T21:18:08.7691663Z * [new tag] trunk/355462e1278d818deb9ef4a184073d5b66074816 -> trunk/355462e1278d818deb9ef4a184073d5b66074816 2025-08-14T21:18:08.7696688Z * [new tag] trunk/3626ba711b34397d1fbf0a9b1979f85cbf68b919 -> trunk/3626ba711b34397d1fbf0a9b1979f85cbf68b919 2025-08-14T21:18:08.7697220Z * [new tag] trunk/36f46d082a4954921cb8493223f000f2aab79ed7 -> trunk/36f46d082a4954921cb8493223f000f2aab79ed7 2025-08-14T21:18:08.7697538Z * [new tag] trunk/39aa3d1471549b7829c207d634dfdc1d26e346a2 -> trunk/39aa3d1471549b7829c207d634dfdc1d26e346a2 2025-08-14T21:18:08.7697753Z * [new tag] trunk/3a562374401113187ce2566b87e3f1d87d7c53aa -> trunk/3a562374401113187ce2566b87e3f1d87d7c53aa 2025-08-14T21:18:08.7697979Z * [new tag] trunk/3ac86e728dfaa7383ff7f865e9e7d33486188dae -> trunk/3ac86e728dfaa7383ff7f865e9e7d33486188dae 2025-08-14T21:18:08.7698200Z * [new tag] trunk/3be70dc30e893b552fc0f23ca06cd8f7949b6d08 -> trunk/3be70dc30e893b552fc0f23ca06cd8f7949b6d08 2025-08-14T21:18:08.7698434Z * [new tag] trunk/3cec82a7e9aea040a34dd7a2587ae6d3bd65dba0 -> trunk/3cec82a7e9aea040a34dd7a2587ae6d3bd65dba0 2025-08-14T21:18:08.7698790Z * [new tag] trunk/3cf7b4024ef83e44e9ae223dbff7c7ab68240cb2 -> trunk/3cf7b4024ef83e44e9ae223dbff7c7ab68240cb2 2025-08-14T21:18:08.7699026Z * [new tag] trunk/3ef2e1ef769582a82c6ddf150e9d11bf4bf1c44f -> trunk/3ef2e1ef769582a82c6ddf150e9d11bf4bf1c44f 2025-08-14T21:18:08.7699760Z * [new tag] trunk/3f1636ebef9b45e8a3cb0eb20d327ee6acb74be0 -> trunk/3f1636ebef9b45e8a3cb0eb20d327ee6acb74be0 2025-08-14T21:18:08.7700215Z * [new tag] trunk/3faee0a6318afcbbbb48687009a459214910d820 -> trunk/3faee0a6318afcbbbb48687009a459214910d820 2025-08-14T21:18:08.7700787Z * [new tag] trunk/3fcd79e023da7156ac584992ebab29205d3b7881 -> trunk/3fcd79e023da7156ac584992ebab29205d3b7881 2025-08-14T21:18:08.7701339Z * [new tag] trunk/3fe19a7a0af3f4d692af30476c320be18c7e8ae6 -> trunk/3fe19a7a0af3f4d692af30476c320be18c7e8ae6 2025-08-14T21:18:08.7701840Z * [new tag] trunk/41673110cd7c5960824cc74a6fcaeda1a8bc7a23 -> trunk/41673110cd7c5960824cc74a6fcaeda1a8bc7a23 2025-08-14T21:18:08.7703621Z * [new tag] trunk/4183d4ff3dcc1d87400326a9a7998c3f9e966f60 -> trunk/4183d4ff3dcc1d87400326a9a7998c3f9e966f60 2025-08-14T21:18:08.7704028Z * [new tag] trunk/422bd6808bb98cbbac31d157d9c82ad11ba9732d -> trunk/422bd6808bb98cbbac31d157d9c82ad11ba9732d 2025-08-14T21:18:08.7704363Z * [new tag] trunk/42e51cd4b3973a053fcfa80878a3f346fd158e9f -> trunk/42e51cd4b3973a053fcfa80878a3f346fd158e9f 2025-08-14T21:18:08.7704695Z * [new tag] trunk/4416433c7c625127b7f975c92f8ec98ea4c67fd3 -> trunk/4416433c7c625127b7f975c92f8ec98ea4c67fd3 2025-08-14T21:18:08.7704992Z * [new tag] trunk/45ba7ecda876685b083cbbe932450560c566826b -> trunk/45ba7ecda876685b083cbbe932450560c566826b 2025-08-14T21:18:08.7705564Z * [new tag] trunk/47a1db823dfcdacdb99f317428fc3791a18c5812 -> trunk/47a1db823dfcdacdb99f317428fc3791a18c5812 2025-08-14T21:18:08.7705926Z * [new tag] trunk/4a773e1e867f28a8ff0b15203e5cd9548f74fcee -> trunk/4a773e1e867f28a8ff0b15203e5cd9548f74fcee 2025-08-14T21:18:08.7706505Z * [new tag] trunk/4a90dc0c1f68d1f98832b169f792ed1bb195a0f3 -> trunk/4a90dc0c1f68d1f98832b169f792ed1bb195a0f3 2025-08-14T21:18:08.7715549Z * [new tag] trunk/4cde0acc0e4e795e1a12cbdd9b93c8c04c1fa05d -> trunk/4cde0acc0e4e795e1a12cbdd9b93c8c04c1fa05d 2025-08-14T21:18:08.7715950Z * [new tag] trunk/4d419a74610c32b1372f8802dcc61893740a23cf -> trunk/4d419a74610c32b1372f8802dcc61893740a23cf 2025-08-14T21:18:08.7716311Z * [new tag] trunk/4d5b3f2d5af7c8e4f41da4ffca53fafe8bb86235 -> trunk/4d5b3f2d5af7c8e4f41da4ffca53fafe8bb86235 2025-08-14T21:18:08.7716690Z * [new tag] trunk/4e2ddb5db67617f9f5309c8bba0c17adc84cadbc -> trunk/4e2ddb5db67617f9f5309c8bba0c17adc84cadbc 2025-08-14T21:18:08.7716918Z * [new tag] trunk/50a8c118754a6c5a46968f5c8e215ccba6831d42 -> trunk/50a8c118754a6c5a46968f5c8e215ccba6831d42 2025-08-14T21:18:08.7717143Z * [new tag] trunk/50f23ff6f883db5021dd6bab4c146434f98dd15d -> trunk/50f23ff6f883db5021dd6bab4c146434f98dd15d 2025-08-14T21:18:08.7717564Z * [new tag] trunk/515cb70367e84fcbad23fcc5b39eb1d7706df2aa -> trunk/515cb70367e84fcbad23fcc5b39eb1d7706df2aa 2025-08-14T21:18:08.7717771Z * [new tag] trunk/53e39494958b7e2278cc8176f63636e812e8945f -> trunk/53e39494958b7e2278cc8176f63636e812e8945f 2025-08-14T21:18:08.7717997Z * [new tag] trunk/556e2a73f4f0643f7c2aeb5c7dddda43388a40ce -> trunk/556e2a73f4f0643f7c2aeb5c7dddda43388a40ce 2025-08-14T21:18:08.7718277Z * [new tag] trunk/5665dc9ab76b84d7c90d845ffb0f6349b3621919 -> trunk/5665dc9ab76b84d7c90d845ffb0f6349b3621919 2025-08-14T21:18:08.7718767Z * [new tag] trunk/566c6d52ef1411c8262d7b9cf85e2044fdfbe1a3 -> trunk/566c6d52ef1411c8262d7b9cf85e2044fdfbe1a3 2025-08-14T21:18:08.7719286Z * [new tag] trunk/56c828bef93eada0e18d2cc013207831ca80cc99 -> trunk/56c828bef93eada0e18d2cc013207831ca80cc99 2025-08-14T21:18:08.7719883Z * [new tag] trunk/5737372862253a0ac0292407a5844796f02380ad -> trunk/5737372862253a0ac0292407a5844796f02380ad 2025-08-14T21:18:08.7720323Z * [new tag] trunk/57f738b6357cc8fcdde479a0948e723809a1a44d -> trunk/57f738b6357cc8fcdde479a0948e723809a1a44d 2025-08-14T21:18:08.7720830Z * [new tag] trunk/5a40c5784482255b9baf14086cc4b9349fc6d512 -> trunk/5a40c5784482255b9baf14086cc4b9349fc6d512 2025-08-14T21:18:08.7721327Z * [new tag] trunk/5a9c4cfce42b9eb87da0de40c5633f083115c307 -> trunk/5a9c4cfce42b9eb87da0de40c5633f083115c307 2025-08-14T21:18:08.7722042Z * [new tag] trunk/5ace061254af71aa83d1baae81aa1864c9746add -> trunk/5ace061254af71aa83d1baae81aa1864c9746add 2025-08-14T21:18:08.7722382Z * [new tag] trunk/5dddcd5b07c6644efca8d613f4eca1dc95daa87f -> trunk/5dddcd5b07c6644efca8d613f4eca1dc95daa87f 2025-08-14T21:18:08.7723183Z * [new tag] trunk/5ed4f9177907fe403ec4c4499d0d0e9be6b68fcf -> trunk/5ed4f9177907fe403ec4c4499d0d0e9be6b68fcf 2025-08-14T21:18:08.7723817Z * [new tag] trunk/5f1010fbb3850d99c8fdf9a9de2f79260cdc586a -> trunk/5f1010fbb3850d99c8fdf9a9de2f79260cdc586a 2025-08-14T21:18:08.7724188Z * [new tag] trunk/5f5f508aa836a46dfe88857fb223049616b94e93 -> trunk/5f5f508aa836a46dfe88857fb223049616b94e93 2025-08-14T21:18:08.7724504Z * [new tag] trunk/62bac0798100e0e06a86b7a4cee1788413e3d0ca -> trunk/62bac0798100e0e06a86b7a4cee1788413e3d0ca 2025-08-14T21:18:08.7725012Z * [new tag] trunk/63654ba4c5178fd12220cfc9d1c878af2fdd07cc -> trunk/63654ba4c5178fd12220cfc9d1c878af2fdd07cc 2025-08-14T21:18:08.7725564Z * [new tag] trunk/639778b3ee3b80e0894367fdc4442b58ae1b3a62 -> trunk/639778b3ee3b80e0894367fdc4442b58ae1b3a62 2025-08-14T21:18:08.7726071Z * [new tag] trunk/641ee7478150f26969968f49d8b358e199679a8a -> trunk/641ee7478150f26969968f49d8b358e199679a8a 2025-08-14T21:18:08.7726685Z * [new tag] trunk/65053c03a3d209060cb239d20a229dac37cf9dd1 -> trunk/65053c03a3d209060cb239d20a229dac37cf9dd1 2025-08-14T21:18:08.7727112Z * [new tag] trunk/652a6f5954d039d61dc6e6575ccf89d385d74537 -> trunk/652a6f5954d039d61dc6e6575ccf89d385d74537 2025-08-14T21:18:08.7727645Z * [new tag] trunk/685f15dbea66e8ffa8564752f81ad2f6cb447a14 -> trunk/685f15dbea66e8ffa8564752f81ad2f6cb447a14 2025-08-14T21:18:08.7728072Z * [new tag] trunk/68a4b4b2e336cfd4451ce6546d900568e5ddf96c -> trunk/68a4b4b2e336cfd4451ce6546d900568e5ddf96c 2025-08-14T21:18:08.7729839Z * [new tag] trunk/69a0a9aa7f5e320a02e97fa789d2f72baff1554f -> trunk/69a0a9aa7f5e320a02e97fa789d2f72baff1554f 2025-08-14T21:18:08.7730237Z * [new tag] trunk/6be6d06295c870c77a6eb69f96b3170d983520d5 -> trunk/6be6d06295c870c77a6eb69f96b3170d983520d5 2025-08-14T21:18:08.7730603Z * [new tag] trunk/6c05ea6475beaf3acc05e1bda0f3f8fe3bdc1d49 -> trunk/6c05ea6475beaf3acc05e1bda0f3f8fe3bdc1d49 2025-08-14T21:18:08.7731098Z * [new tag] trunk/6da11d9aafc0d84dc7f66030c181608ff2614f66 -> trunk/6da11d9aafc0d84dc7f66030c181608ff2614f66 2025-08-14T21:18:08.7731430Z * [new tag] trunk/6e8865fbc161270e2ffc52817e6c667df417a3f7 -> trunk/6e8865fbc161270e2ffc52817e6c667df417a3f7 2025-08-14T21:18:08.7731752Z * [new tag] trunk/6ea8376f84232048d6be0f7b2edf82aec1b61d58 -> trunk/6ea8376f84232048d6be0f7b2edf82aec1b61d58 2025-08-14T21:18:08.7732115Z * [new tag] trunk/6ee175195ac7853734d64704171993cc6265eb38 -> trunk/6ee175195ac7853734d64704171993cc6265eb38 2025-08-14T21:18:08.7732679Z * [new tag] trunk/6f0f4e0c3eacd479864319127915f869f64e1935 -> trunk/6f0f4e0c3eacd479864319127915f869f64e1935 2025-08-14T21:18:08.7733321Z * [new tag] trunk/70ccdec44b89e355a2cb03ba14a634284f7750f8 -> trunk/70ccdec44b89e355a2cb03ba14a634284f7750f8 2025-08-14T21:18:08.7733962Z * [new tag] trunk/72009ec6bebca7714f99c18449183787f202af4d -> trunk/72009ec6bebca7714f99c18449183787f202af4d 2025-08-14T21:18:08.7734219Z * [new tag] trunk/731ee31f7b6ba19307daab323f6196172b71aaf8 -> trunk/731ee31f7b6ba19307daab323f6196172b71aaf8 2025-08-14T21:18:08.7734770Z * [new tag] trunk/76a0609b6bddb2bc40f1eb4ade12885023653d59 -> trunk/76a0609b6bddb2bc40f1eb4ade12885023653d59 2025-08-14T21:18:08.7735253Z * [new tag] trunk/781e9a7724c47496e3d38a81e6dd6194cf098c41 -> trunk/781e9a7724c47496e3d38a81e6dd6194cf098c41 2025-08-14T21:18:08.7735854Z * [new tag] trunk/78a2fe1d42edeaa2ef7020b0fa0ac82ee4a640e4 -> trunk/78a2fe1d42edeaa2ef7020b0fa0ac82ee4a640e4 2025-08-14T21:18:08.7736571Z * [new tag] trunk/7a974a88f2c529a614baeabe4debd00fc8a3b299 -> trunk/7a974a88f2c529a614baeabe4debd00fc8a3b299 2025-08-14T21:18:08.7737304Z * [new tag] trunk/7ae0629d64b404e0ef5d9c931433ad25e65d6114 -> trunk/7ae0629d64b404e0ef5d9c931433ad25e65d6114 2025-08-14T21:18:08.7737599Z * [new tag] trunk/7d2ec704e47f4b740cdecda5534b305e8e1875ef -> trunk/7d2ec704e47f4b740cdecda5534b305e8e1875ef 2025-08-14T21:18:08.7738127Z * [new tag] trunk/7d87e358ac8440f666fabbfd99058bb5342be6ac -> trunk/7d87e358ac8440f666fabbfd99058bb5342be6ac 2025-08-14T21:18:08.7738539Z * [new tag] trunk/7e27347fd353928c99620495c8c531a5eba7d56b -> trunk/7e27347fd353928c99620495c8c531a5eba7d56b 2025-08-14T21:18:08.7740250Z * [new tag] trunk/7e91394955721c77645fcdb75a5d47a255d65020 -> trunk/7e91394955721c77645fcdb75a5d47a255d65020 2025-08-14T21:18:08.7740522Z * [new tag] trunk/7f4cb4a3e018a621add2a37a3a2f67b982d51001 -> trunk/7f4cb4a3e018a621add2a37a3a2f67b982d51001 2025-08-14T21:18:08.7740753Z * [new tag] trunk/7fbc22855c17741ae016992803b2e147a13aa22d -> trunk/7fbc22855c17741ae016992803b2e147a13aa22d 2025-08-14T21:18:08.7741130Z * [new tag] trunk/8047421fbb607d70ede13b9cd5a60b7b8bdfe348 -> trunk/8047421fbb607d70ede13b9cd5a60b7b8bdfe348 2025-08-14T21:18:08.7741525Z * [new tag] trunk/8088cfa592504a2897b4c78f8a46fe658ab5c2c2 -> trunk/8088cfa592504a2897b4c78f8a46fe658ab5c2c2 2025-08-14T21:18:08.7742048Z * [new tag] trunk/80cca8307943ba64168208b54028f55b2c71daff -> trunk/80cca8307943ba64168208b54028f55b2c71daff 2025-08-14T21:18:08.7742599Z * [new tag] trunk/8147370733bbdcd034cad54e9212e51885a11892 -> trunk/8147370733bbdcd034cad54e9212e51885a11892 2025-08-14T21:18:08.7743973Z * [new tag] trunk/83875cdb5594ccb3c9206b8eb5745fe1d011cf26 -> trunk/83875cdb5594ccb3c9206b8eb5745fe1d011cf26 2025-08-14T21:18:08.7744397Z * [new tag] trunk/8399cf88ce8399d2be93355f29d4cb69f51c0654 -> trunk/8399cf88ce8399d2be93355f29d4cb69f51c0654 2025-08-14T21:18:08.7744755Z * [new tag] trunk/842cc77ab9aafd518593c2fce077d6abb42a5b7f -> trunk/842cc77ab9aafd518593c2fce077d6abb42a5b7f 2025-08-14T21:18:08.7745155Z * [new tag] trunk/85db508af533649d0b3447ff3f0d5fe083150c84 -> trunk/85db508af533649d0b3447ff3f0d5fe083150c84 2025-08-14T21:18:08.7745645Z * [new tag] trunk/86eb65f7f06016bcd5d7951dc9d74bc3993a827a -> trunk/86eb65f7f06016bcd5d7951dc9d74bc3993a827a 2025-08-14T21:18:08.7747024Z * [new tag] trunk/87e6c4079d8ec7d04aff00ed82096b39836a8367 -> trunk/87e6c4079d8ec7d04aff00ed82096b39836a8367 2025-08-14T21:18:08.7747430Z * [new tag] trunk/89654db1abccf7e5f261989a150db4d1619ea2aa -> trunk/89654db1abccf7e5f261989a150db4d1619ea2aa 2025-08-14T21:18:08.7747787Z * [new tag] trunk/8a37f0c90392a2c38b7c5955471fa49edcaf5cb1 -> trunk/8a37f0c90392a2c38b7c5955471fa49edcaf5cb1 2025-08-14T21:18:08.7748100Z * [new tag] trunk/8ab5868a2199fe485c2d66533b9244ccb97e487d -> trunk/8ab5868a2199fe485c2d66533b9244ccb97e487d 2025-08-14T21:18:08.7748329Z * [new tag] trunk/8ae4d2652f64b8444b3d5314b9232bd2119bcde6 -> trunk/8ae4d2652f64b8444b3d5314b9232bd2119bcde6 2025-08-14T21:18:08.7748940Z * [new tag] trunk/8c41cb800ae0411f02ea5da34bd5ccc3790633b0 -> trunk/8c41cb800ae0411f02ea5da34bd5ccc3790633b0 2025-08-14T21:18:08.7749447Z * [new tag] trunk/8cb91e20bc205b1416648d0ffd98d1ba1f3a6fc4 -> trunk/8cb91e20bc205b1416648d0ffd98d1ba1f3a6fc4 2025-08-14T21:18:08.7750036Z * [new tag] trunk/8cfaf51d4e29c9bd9f49ecc98d955ed53df1a13d -> trunk/8cfaf51d4e29c9bd9f49ecc98d955ed53df1a13d 2025-08-14T21:18:08.7750435Z * [new tag] trunk/8d1cf529229dce7cd5ea04abb0faac83b87ca6d1 -> trunk/8d1cf529229dce7cd5ea04abb0faac83b87ca6d1 2025-08-14T21:18:08.7751066Z * [new tag] trunk/8d3d1c844303cb1d46123a1caa76d4cf83973347 -> trunk/8d3d1c844303cb1d46123a1caa76d4cf83973347 2025-08-14T21:18:08.7751500Z * [new tag] trunk/8d6d3246316e1767a57d5e855acd6208da753b75 -> trunk/8d6d3246316e1767a57d5e855acd6208da753b75 2025-08-14T21:18:08.7753148Z * [new tag] trunk/8e6a3138581152ab827a0997f34c470271399f5e -> trunk/8e6a3138581152ab827a0997f34c470271399f5e 2025-08-14T21:18:08.7753589Z * [new tag] trunk/8eee08d2279b98af2522debb6512d37e837e89e3 -> trunk/8eee08d2279b98af2522debb6512d37e837e89e3 2025-08-14T21:18:08.7753932Z * [new tag] trunk/90b78ee50f73b5c963996076a3d54b74b1b965be -> trunk/90b78ee50f73b5c963996076a3d54b74b1b965be 2025-08-14T21:18:08.7754273Z * [new tag] trunk/94b91a876327820a4bb6f5d39d156f13f2553ab6 -> trunk/94b91a876327820a4bb6f5d39d156f13f2553ab6 2025-08-14T21:18:08.7754569Z * [new tag] trunk/95210cc409dd578988c7116b47725c304dea54c7 -> trunk/95210cc409dd578988c7116b47725c304dea54c7 2025-08-14T21:18:08.7754865Z * [new tag] trunk/96bd33b2de79598566df395f32e27c4d33673f05 -> trunk/96bd33b2de79598566df395f32e27c4d33673f05 2025-08-14T21:18:08.7755395Z * [new tag] trunk/9708fcf92db88b80b9010c68662d634434da3106 -> trunk/9708fcf92db88b80b9010c68662d634434da3106 2025-08-14T21:18:08.7755932Z * [new tag] trunk/97c8c98f8dcb9c5c188b691d156e0043dba6c7f8 -> trunk/97c8c98f8dcb9c5c188b691d156e0043dba6c7f8 2025-08-14T21:18:08.7756472Z * [new tag] trunk/9903ca4f70bdc1653016256f5b4fd74fdfc609f8 -> trunk/9903ca4f70bdc1653016256f5b4fd74fdfc609f8 2025-08-14T21:18:08.7757029Z * [new tag] trunk/99bc2f94c1955657e950ebdad5f77e518785ccbd -> trunk/99bc2f94c1955657e950ebdad5f77e518785ccbd 2025-08-14T21:18:08.7757430Z * [new tag] trunk/9a06e6d0310da9d8a59ae05e8ec9c0201b55cacd -> trunk/9a06e6d0310da9d8a59ae05e8ec9c0201b55cacd 2025-08-14T21:18:08.7757989Z * [new tag] trunk/9a0f7a3bb01b235ea04581ee540970a098071b72 -> trunk/9a0f7a3bb01b235ea04581ee540970a098071b72 2025-08-14T21:18:08.7758498Z * [new tag] trunk/9b803cdbe298009f08340c1aaccb25aafbca95d8 -> trunk/9b803cdbe298009f08340c1aaccb25aafbca95d8 2025-08-14T21:18:08.7761058Z * [new tag] trunk/9ccd0f5e31ea54fcf42101dfbaacc103494e34df -> trunk/9ccd0f5e31ea54fcf42101dfbaacc103494e34df 2025-08-14T21:18:08.7761623Z * [new tag] trunk/9d37c960a4fc44d5ac334ca8bf775f85b95d76fc -> trunk/9d37c960a4fc44d5ac334ca8bf775f85b95d76fc 2025-08-14T21:18:08.7761981Z * [new tag] trunk/9e07673deb212c87b1c6fea23799a97474c476ed -> trunk/9e07673deb212c87b1c6fea23799a97474c476ed 2025-08-14T21:18:08.7762653Z * [new tag] trunk/9eedd2a20b64302d0d116ea2802b50948d2ebb09 -> trunk/9eedd2a20b64302d0d116ea2802b50948d2ebb09 2025-08-14T21:18:08.7762918Z * [new tag] trunk/9fa8ce26cf638504469852cbc3e7d04579fc8674 -> trunk/9fa8ce26cf638504469852cbc3e7d04579fc8674 2025-08-14T21:18:08.7763143Z * [new tag] trunk/a06ec54d40013c97fbffc174ea8f524ea5a95715 -> trunk/a06ec54d40013c97fbffc174ea8f524ea5a95715 2025-08-14T21:18:08.7763358Z * [new tag] trunk/a288b15ea9f87ddd665f249d492e0fb0861f5a69 -> trunk/a288b15ea9f87ddd665f249d492e0fb0861f5a69 2025-08-14T21:18:08.7763743Z * [new tag] trunk/a2fd106d670bb4990cebfd00f25ecbae4145e76c -> trunk/a2fd106d670bb4990cebfd00f25ecbae4145e76c 2025-08-14T21:18:08.7763964Z * [new tag] trunk/a354fa91e26b376d96385a2206c5ff5b42aa4600 -> trunk/a354fa91e26b376d96385a2206c5ff5b42aa4600 2025-08-14T21:18:08.7764197Z * [new tag] trunk/a4f69a5da08eace1c1e6469dec6a18aa842da73b -> trunk/a4f69a5da08eace1c1e6469dec6a18aa842da73b 2025-08-14T21:18:08.7764720Z * [new tag] trunk/a53d14d5f846ac44f6c205abb1c5bc4d2f3126ae -> trunk/a53d14d5f846ac44f6c205abb1c5bc4d2f3126ae 2025-08-14T21:18:08.7765637Z * [new tag] trunk/a5652407e4f3d772fc44486ac2abf756decf0861 -> trunk/a5652407e4f3d772fc44486ac2abf756decf0861 2025-08-14T21:18:08.7766201Z * [new tag] trunk/a7abf57aabec0ce686092e2d66e53ba185dbc56b -> trunk/a7abf57aabec0ce686092e2d66e53ba185dbc56b 2025-08-14T21:18:08.7766459Z * [new tag] trunk/a84b60c0c4016785fd93b7b8a0c04f2d0770d332 -> trunk/a84b60c0c4016785fd93b7b8a0c04f2d0770d332 2025-08-14T21:18:08.7767011Z * [new tag] trunk/aa75e917bdb0f95bb6dee81853c2d3c4ab3e1883 -> trunk/aa75e917bdb0f95bb6dee81853c2d3c4ab3e1883 2025-08-14T21:18:08.7767549Z * [new tag] trunk/adcca7d9a1c053495e99012de801b2ea237faad0 -> trunk/adcca7d9a1c053495e99012de801b2ea237faad0 2025-08-14T21:18:08.7768066Z * [new tag] trunk/af10f1f86cc4effc93142a447693d8be55966615 -> trunk/af10f1f86cc4effc93142a447693d8be55966615 2025-08-14T21:18:08.7768695Z * [new tag] trunk/af3cabc55d5699f4da528e1ca39d83338f84ae8c -> trunk/af3cabc55d5699f4da528e1ca39d83338f84ae8c 2025-08-14T21:18:08.7769186Z * [new tag] trunk/b0df7715e8c590c0001d1f9cdb97057be80c9107 -> trunk/b0df7715e8c590c0001d1f9cdb97057be80c9107 2025-08-14T21:18:08.7769747Z * [new tag] trunk/b149c7204c218e7c4d6594a89dd74f72bd480ec5 -> trunk/b149c7204c218e7c4d6594a89dd74f72bd480ec5 2025-08-14T21:18:08.7770269Z * [new tag] trunk/b1a602762e6a6674b406a3137e7e7a678885a97b -> trunk/b1a602762e6a6674b406a3137e7e7a678885a97b 2025-08-14T21:18:08.7770890Z * [new tag] trunk/b1f43548cad8fc0e30bda250f6e196310fa7a4bc -> trunk/b1f43548cad8fc0e30bda250f6e196310fa7a4bc 2025-08-14T21:18:08.7771414Z * [new tag] trunk/b219ca2a00a305753c4f1ea4c9c5d23243d54753 -> trunk/b219ca2a00a305753c4f1ea4c9c5d23243d54753 2025-08-14T21:18:08.7771981Z * [new tag] trunk/b4596895b9d85a686c2cb978938b0a7797b3690a -> trunk/b4596895b9d85a686c2cb978938b0a7797b3690a 2025-08-14T21:18:08.7772527Z * [new tag] trunk/b5fd7223b1bf44720dc9183bda7dfcf7aeccff02 -> trunk/b5fd7223b1bf44720dc9183bda7dfcf7aeccff02 2025-08-14T21:18:08.7772972Z * [new tag] trunk/b602ea9cab7d43a7ee7b4051227090f23fbd3dbf -> trunk/b602ea9cab7d43a7ee7b4051227090f23fbd3dbf 2025-08-14T21:18:08.7773916Z * [new tag] trunk/b6b74aed604bd2e96389ff99aaaf39abc64fdc64 -> trunk/b6b74aed604bd2e96389ff99aaaf39abc64fdc64 2025-08-14T21:18:08.7774192Z * [new tag] trunk/b7db86600a2614adc71c92ca42d359a7ac534d78 -> trunk/b7db86600a2614adc71c92ca42d359a7ac534d78 2025-08-14T21:18:08.7774687Z * [new tag] trunk/b9003ed3d87699e81e436719625a21996a6654e5 -> trunk/b9003ed3d87699e81e436719625a21996a6654e5 2025-08-14T21:18:08.7775209Z * [new tag] trunk/b90feeac86bda00afc2789321bcd706015ff44e3 -> trunk/b90feeac86bda00afc2789321bcd706015ff44e3 2025-08-14T21:18:08.7779895Z * [new tag] trunk/b9d7de3a094598c3dc0dd52e57bce30eb684c9d8 -> trunk/b9d7de3a094598c3dc0dd52e57bce30eb684c9d8 2025-08-14T21:18:08.7780333Z * [new tag] trunk/ba47821f524eee50a214ed39fa2e7765d54aabf4 -> trunk/ba47821f524eee50a214ed39fa2e7765d54aabf4 2025-08-14T21:18:08.7780695Z * [new tag] trunk/ba4ccf5d67e3d237f435eacc2bce3c6025f08491 -> trunk/ba4ccf5d67e3d237f435eacc2bce3c6025f08491 2025-08-14T21:18:08.7781039Z * [new tag] trunk/bcf23ecc476df2bd7479f142567213e2623308ee -> trunk/bcf23ecc476df2bd7479f142567213e2623308ee 2025-08-14T21:18:08.7781702Z * [new tag] trunk/be53f609aaf6f01e2863f490975ea9eaac3ee9ff -> trunk/be53f609aaf6f01e2863f490975ea9eaac3ee9ff 2025-08-14T21:18:08.7781971Z * [new tag] trunk/beb4d7816dedc67a5de1f82e5a45b5910f407941 -> trunk/beb4d7816dedc67a5de1f82e5a45b5910f407941 2025-08-14T21:18:08.7782185Z * [new tag] trunk/bfc873d02ec413344717493e4175a902921359fd -> trunk/bfc873d02ec413344717493e4175a902921359fd 2025-08-14T21:18:08.7782579Z * [new tag] trunk/c184cb3852f0ff2d16a489d61abc3739c309e6ca -> trunk/c184cb3852f0ff2d16a489d61abc3739c309e6ca 2025-08-14T21:18:08.7782799Z * [new tag] trunk/c24ca7f4bf79f62fd623d76346ca27e53f731431 -> trunk/c24ca7f4bf79f62fd623d76346ca27e53f731431 2025-08-14T21:18:08.7783005Z * [new tag] trunk/c3dc8dc4122977893004c49d10e4676cd0a97da4 -> trunk/c3dc8dc4122977893004c49d10e4676cd0a97da4 2025-08-14T21:18:08.7783398Z * [new tag] trunk/c5ec5458a547f7a774468ea0eb2258d3de596492 -> trunk/c5ec5458a547f7a774468ea0eb2258d3de596492 2025-08-14T21:18:08.7783990Z * [new tag] trunk/c5efc5c8a66eca84865015058b3221013ebfe685 -> trunk/c5efc5c8a66eca84865015058b3221013ebfe685 2025-08-14T21:18:08.7784227Z * [new tag] trunk/c6563341208003f64c131854a9cf029555f786d2 -> trunk/c6563341208003f64c131854a9cf029555f786d2 2025-08-14T21:18:08.7784460Z * [new tag] trunk/c6d78d4dbda53837d298d23a5fbc09af90a42d9e -> trunk/c6d78d4dbda53837d298d23a5fbc09af90a42d9e 2025-08-14T21:18:08.7784830Z * [new tag] trunk/c8205cb35435f39d2c26f6c94b45e4adeb6dcb23 -> trunk/c8205cb35435f39d2c26f6c94b45e4adeb6dcb23 2025-08-14T21:18:08.7785203Z * [new tag] trunk/c859ba7114b1fcb49527e090745fa17091d1f8d5 -> trunk/c859ba7114b1fcb49527e090745fa17091d1f8d5 2025-08-14T21:18:08.7786087Z * [new tag] trunk/c86040a8e68f754b90a84099187d3624954c7f36 -> trunk/c86040a8e68f754b90a84099187d3624954c7f36 2025-08-14T21:18:08.7786404Z * [new tag] trunk/c9671dc865aa0fc1cb86df754e355b44d8e02bb4 -> trunk/c9671dc865aa0fc1cb86df754e355b44d8e02bb4 2025-08-14T21:18:08.7786986Z * [new tag] trunk/ca7315c17162ea21b1ca5ba23f4bf6168766c7b9 -> trunk/ca7315c17162ea21b1ca5ba23f4bf6168766c7b9 2025-08-14T21:18:08.7787524Z * [new tag] trunk/cae2b5e3d223829bdc553fc8601df4b1c1554cff -> trunk/cae2b5e3d223829bdc553fc8601df4b1c1554cff 2025-08-14T21:18:08.7788268Z * [new tag] trunk/cbffde774557752cf20447d42d99ec6102673c31 -> trunk/cbffde774557752cf20447d42d99ec6102673c31 2025-08-14T21:18:08.7788670Z * [new tag] trunk/cd8d8c18f5bafdc1c73d5ac0129e7b4d76ab45bc -> trunk/cd8d8c18f5bafdc1c73d5ac0129e7b4d76ab45bc 2025-08-14T21:18:08.7789565Z * [new tag] trunk/cf0a0dcb0afa5e84b95461cc542f862b51ca96bf -> trunk/cf0a0dcb0afa5e84b95461cc542f862b51ca96bf 2025-08-14T21:18:08.7789853Z * [new tag] trunk/cf4964be68fa9f4ffc334f01cce42d7424b1cc81 -> trunk/cf4964be68fa9f4ffc334f01cce42d7424b1cc81 2025-08-14T21:18:08.7792310Z * [new tag] trunk/d0e2240f680ea2a553f7ee8188f52482e130bfd0 -> trunk/d0e2240f680ea2a553f7ee8188f52482e130bfd0 2025-08-14T21:18:08.7792729Z * [new tag] trunk/d1950d4bb5cba8fb6b23e4d283eea5b9801737e2 -> trunk/d1950d4bb5cba8fb6b23e4d283eea5b9801737e2 2025-08-14T21:18:08.7793082Z * [new tag] trunk/d20c4c20e61adecf00335c4d8c22eb1ace472cd3 -> trunk/d20c4c20e61adecf00335c4d8c22eb1ace472cd3 2025-08-14T21:18:08.7793427Z * [new tag] trunk/d25c4f954d599ea512e2f70cd6df101c21479d4c -> trunk/d25c4f954d599ea512e2f70cd6df101c21479d4c 2025-08-14T21:18:08.7793646Z * [new tag] trunk/d3d359dbafa89173a371e2637f22b47398e94a24 -> trunk/d3d359dbafa89173a371e2637f22b47398e94a24 2025-08-14T21:18:08.7793857Z * [new tag] trunk/d46768db04499d07a5b0db984112a6d1b7d3b0c1 -> trunk/d46768db04499d07a5b0db984112a6d1b7d3b0c1 2025-08-14T21:18:08.7794085Z * [new tag] trunk/d4c1a08c89f37d249a0146ff511c82ecc5c53b8f -> trunk/d4c1a08c89f37d249a0146ff511c82ecc5c53b8f 2025-08-14T21:18:08.7794632Z * [new tag] trunk/d556586448f3caab85673c7da0978fe31c7748f7 -> trunk/d556586448f3caab85673c7da0978fe31c7748f7 2025-08-14T21:18:08.7795356Z * [new tag] trunk/d670304001429a1a833255a918ed788d7ec4989a -> trunk/d670304001429a1a833255a918ed788d7ec4989a 2025-08-14T21:18:08.7795810Z * [new tag] trunk/d6786741a77aba200c78002646cc069b7a1799b0 -> trunk/d6786741a77aba200c78002646cc069b7a1799b0 2025-08-14T21:18:08.7797961Z * [new tag] trunk/d68c323692dedcbb74e670801e3502944fd790ff -> trunk/d68c323692dedcbb74e670801e3502944fd790ff 2025-08-14T21:18:08.7798385Z * [new tag] trunk/d8cb3db5339b45e4b745b2b883ef3ecde9843e2c -> trunk/d8cb3db5339b45e4b745b2b883ef3ecde9843e2c 2025-08-14T21:18:08.7798730Z * [new tag] trunk/da1f608ca33f3062535d0a4866d95db19e72fcbd -> trunk/da1f608ca33f3062535d0a4866d95db19e72fcbd 2025-08-14T21:18:08.7799043Z * [new tag] trunk/db0b7f1cc9bb3fe71aaf8b964a644147ae8e1c35 -> trunk/db0b7f1cc9bb3fe71aaf8b964a644147ae8e1c35 2025-08-14T21:18:08.7799661Z * [new tag] trunk/db32b60662b2f2bdcad980127d5dc4b66b02a7e4 -> trunk/db32b60662b2f2bdcad980127d5dc4b66b02a7e4 2025-08-14T21:18:08.7799899Z * [new tag] trunk/db763b17175553ba09637362eb9773a91997a7ad -> trunk/db763b17175553ba09637362eb9773a91997a7ad 2025-08-14T21:18:08.7800119Z * [new tag] trunk/db78943a1ca13a32a3d6045eb15e2b719ee13a2f -> trunk/db78943a1ca13a32a3d6045eb15e2b719ee13a2f 2025-08-14T21:18:08.7800525Z * [new tag] trunk/dc0d18e023d9b7e314ebba0f234b6cb1579dbcfd -> trunk/dc0d18e023d9b7e314ebba0f234b6cb1579dbcfd 2025-08-14T21:18:08.7801207Z * [new tag] trunk/dd21c8a578038ab2841a7ba809a06921093ac9d8 -> trunk/dd21c8a578038ab2841a7ba809a06921093ac9d8 2025-08-14T21:18:08.7801629Z * [new tag] trunk/deea71a90e05eb320c04bebfead5317746637f0d -> trunk/deea71a90e05eb320c04bebfead5317746637f0d 2025-08-14T21:18:08.7801999Z * [new tag] trunk/df55ec7d4b35f6d21691e9dd41c82f27de762948 -> trunk/df55ec7d4b35f6d21691e9dd41c82f27de762948 2025-08-14T21:18:08.7802344Z * [new tag] trunk/e1cf0d496ea85d1807c8c740f296e77bf7bdc1df -> trunk/e1cf0d496ea85d1807c8c740f296e77bf7bdc1df 2025-08-14T21:18:08.7803763Z * [new tag] trunk/e248719ac03c103767ab72034f6b9fd56855bf98 -> trunk/e248719ac03c103767ab72034f6b9fd56855bf98 2025-08-14T21:18:08.7804193Z * [new tag] trunk/e49762026070f66be41bfa6537fbcf9bfc24e558 -> trunk/e49762026070f66be41bfa6537fbcf9bfc24e558 2025-08-14T21:18:08.7804551Z * [new tag] trunk/e4de93f6a3e342bab34d3757cf90ec0ccc87e168 -> trunk/e4de93f6a3e342bab34d3757cf90ec0ccc87e168 2025-08-14T21:18:08.7804813Z * [new tag] trunk/e619c6bb90b9dedaccd3cbeed86a288993a4e33f -> trunk/e619c6bb90b9dedaccd3cbeed86a288993a4e33f 2025-08-14T21:18:08.7805283Z * [new tag] trunk/e63c2b21c186a7d2ab8a8953b8aa1535f2e96e58 -> trunk/e63c2b21c186a7d2ab8a8953b8aa1535f2e96e58 2025-08-14T21:18:08.7805753Z * [new tag] trunk/e7152ff8a6a929a0db7f3f4a72a5b6d471769cd3 -> trunk/e7152ff8a6a929a0db7f3f4a72a5b6d471769cd3 2025-08-14T21:18:08.7806474Z * [new tag] trunk/e96c7c4bb0f6aeae2ab3b6f040f7d67edbec199a -> trunk/e96c7c4bb0f6aeae2ab3b6f040f7d67edbec199a 2025-08-14T21:18:08.7807002Z * [new tag] trunk/e9eb2096a59a79e7a94c3e28a0715e040369f34c -> trunk/e9eb2096a59a79e7a94c3e28a0715e040369f34c 2025-08-14T21:18:08.7807615Z * [new tag] trunk/eac2d9d695a32dd456050f45cac35134ec3809f4 -> trunk/eac2d9d695a32dd456050f45cac35134ec3809f4 2025-08-14T21:18:08.7808073Z * [new tag] trunk/ecde76c764752540edf9ef62a97936c86d984b17 -> trunk/ecde76c764752540edf9ef62a97936c86d984b17 2025-08-14T21:18:08.7808515Z * [new tag] trunk/ecea81117b2fdc52907c97b3c32d779e07b5d55b -> trunk/ecea81117b2fdc52907c97b3c32d779e07b5d55b 2025-08-14T21:18:08.7811147Z * [new tag] trunk/edaa151d0d5a4e75fbec9843f49cc78770eb61fb -> trunk/edaa151d0d5a4e75fbec9843f49cc78770eb61fb 2025-08-14T21:18:08.7811570Z * [new tag] trunk/ee1b0412b919dfb358d5a697b3be49621497fbc2 -> trunk/ee1b0412b919dfb358d5a697b3be49621497fbc2 2025-08-14T21:18:08.7811919Z * [new tag] trunk/ee1fb43450c2e985657f95a91b68328d6f20f24e -> trunk/ee1fb43450c2e985657f95a91b68328d6f20f24e 2025-08-14T21:18:08.7812457Z * [new tag] trunk/ee89cc7a0acd69de25f98fe4ef828546db7b444c -> trunk/ee89cc7a0acd69de25f98fe4ef828546db7b444c 2025-08-14T21:18:08.7812693Z * [new tag] trunk/ee9f8ba11d664b871a9e0c7933fdc8571635b78c -> trunk/ee9f8ba11d664b871a9e0c7933fdc8571635b78c 2025-08-14T21:18:08.7812930Z * [new tag] trunk/eed9dbf70f43ee529fec78ac00ed9a4fd74c6e76 -> trunk/eed9dbf70f43ee529fec78ac00ed9a4fd74c6e76 2025-08-14T21:18:08.7813147Z * [new tag] trunk/f077c2402e4eb5b0ed562b4ee5b7a0503f26ef94 -> trunk/f077c2402e4eb5b0ed562b4ee5b7a0503f26ef94 2025-08-14T21:18:08.7813509Z * [new tag] trunk/f0980fc0bbd656d6c02d23ad97e945353b314f35 -> trunk/f0980fc0bbd656d6c02d23ad97e945353b314f35 2025-08-14T21:18:08.7813830Z * [new tag] trunk/f15ada5c6fad97a7dcbfa4673f067b6942dda640 -> trunk/f15ada5c6fad97a7dcbfa4673f067b6942dda640 2025-08-14T21:18:08.7814182Z * [new tag] trunk/f27232a2134150cb5e55d26a74d8c36c6a961ca5 -> trunk/f27232a2134150cb5e55d26a74d8c36c6a961ca5 2025-08-14T21:18:08.7814785Z * [new tag] trunk/f33ce40bc062a281e1a1f57e8c1926d0a7d155cc -> trunk/f33ce40bc062a281e1a1f57e8c1926d0a7d155cc 2025-08-14T21:18:08.7815388Z * [new tag] trunk/f341077ce4710172da20cfad916ee37159bfe9fe -> trunk/f341077ce4710172da20cfad916ee37159bfe9fe 2025-08-14T21:18:08.7815877Z * [new tag] trunk/f3a4d742ece08de4cb0e59dcc62e0093a7d0b0c7 -> trunk/f3a4d742ece08de4cb0e59dcc62e0093a7d0b0c7 2025-08-14T21:18:08.7818577Z * [new tag] trunk/f3f159ff8c4bad2edec99c68a941c628e983d04c -> trunk/f3f159ff8c4bad2edec99c68a941c628e983d04c 2025-08-14T21:18:08.7818844Z * [new tag] trunk/f60454cce8b93e5bbf67f2f3c88c8ac01ed65457 -> trunk/f60454cce8b93e5bbf67f2f3c88c8ac01ed65457 2025-08-14T21:18:08.7819071Z * [new tag] trunk/f7b2f3314cf7aede67d5fa5c75e4243208484344 -> trunk/f7b2f3314cf7aede67d5fa5c75e4243208484344 2025-08-14T21:18:08.7819289Z * [new tag] trunk/f8f0414a5983ff481a2188e0c18594150430c8c5 -> trunk/f8f0414a5983ff481a2188e0c18594150430c8c5 2025-08-14T21:18:08.7819644Z * [new tag] trunk/f95b58c2844b3444cd8446fed8570729dc4216eb -> trunk/f95b58c2844b3444cd8446fed8570729dc4216eb 2025-08-14T21:18:08.7819874Z * [new tag] trunk/f990490a23815ea6ee27e487c70ba2cf513ba43d -> trunk/f990490a23815ea6ee27e487c70ba2cf513ba43d 2025-08-14T21:18:08.7820301Z * [new tag] trunk/fb887c3bb588cfe782615e67f6c26db636b8539b -> trunk/fb887c3bb588cfe782615e67f6c26db636b8539b 2025-08-14T21:18:08.7823228Z * [new tag] trunk/fc25c68f20f772290927a7031b998b92615259cf -> trunk/fc25c68f20f772290927a7031b998b92615259cf 2025-08-14T21:18:08.7825305Z * [new tag] trunk/fc80f6859e0ccf66513a40f04b9e735e759d4ddb -> trunk/fc80f6859e0ccf66513a40f04b9e735e759d4ddb 2025-08-14T21:18:08.7825646Z * [new tag] trunk/fdfd69bb05488d76123db9cc1cdd90ac4137bbfb -> trunk/fdfd69bb05488d76123db9cc1cdd90ac4137bbfb 2025-08-14T21:18:08.7829626Z * [new tag] trunk/fe3f5fe4ea2ff6f56406dc5d954636ebb08d0a08 -> trunk/fe3f5fe4ea2ff6f56406dc5d954636ebb08d0a08 2025-08-14T21:18:08.7829969Z * [new tag] trunk/fea7e9dd37c02c334b130f6624af6163fde6b2ab -> trunk/fea7e9dd37c02c334b130f6624af6163fde6b2ab 2025-08-14T21:18:08.7835694Z * [new tag] trunk/ff0d56d03592aa03f3ced8359241d21df1783393 -> trunk/ff0d56d03592aa03f3ced8359241d21df1783393 2025-08-14T21:18:08.7839525Z * [new tag] v0.1.1 -> v0.1.1 2025-08-14T21:18:08.7841793Z * [new tag] v0.1.10 -> v0.1.10 2025-08-14T21:18:08.7846344Z * [new tag] v0.1.11 -> v0.1.11 2025-08-14T21:18:08.7848434Z * [new tag] v0.1.12 -> v0.1.12 2025-08-14T21:18:08.7848707Z * [new tag] v0.1.2 -> v0.1.2 2025-08-14T21:18:08.7848841Z * [new tag] v0.1.3 -> v0.1.3 2025-08-14T21:18:08.7849088Z * [new tag] v0.1.4 -> v0.1.4 2025-08-14T21:18:08.7849176Z * [new tag] v0.1.5 -> v0.1.5 2025-08-14T21:18:08.7849271Z * [new tag] v0.1.6 -> v0.1.6 2025-08-14T21:18:08.7849355Z * [new tag] v0.1.7 -> v0.1.7 2025-08-14T21:18:08.7849439Z * [new tag] v0.1.8 -> v0.1.8 2025-08-14T21:18:08.7849539Z * [new tag] v0.1.9 -> v0.1.9 2025-08-14T21:18:08.7849625Z * [new tag] v0.2.0 -> v0.2.0 2025-08-14T21:18:08.7849711Z * [new tag] v0.3.0 -> v0.3.0 2025-08-14T21:18:08.7849805Z * [new tag] v0.3.1 -> v0.3.1 2025-08-14T21:18:08.7849890Z * [new tag] v0.4.0 -> v0.4.0 2025-08-14T21:18:08.7849983Z * [new tag] v0.4.1 -> v0.4.1 2025-08-14T21:18:08.7850074Z * [new tag] v1.0.0 -> v1.0.0 2025-08-14T21:18:08.7850173Z * [new tag] v1.0.0a0 -> v1.0.0a0 2025-08-14T21:18:08.7850268Z * [new tag] v1.0.1 -> v1.0.1 2025-08-14T21:18:08.7853623Z * [new tag] v1.0rc0 -> v1.0rc0 2025-08-14T21:18:08.7853926Z * [new tag] v1.0rc1 -> v1.0rc1 2025-08-14T21:18:08.7854043Z * [new tag] v1.1.0 -> v1.1.0 2025-08-14T21:18:08.7854142Z * [new tag] v1.1.0a0 -> v1.1.0a0 2025-08-14T21:18:08.7854370Z * [new tag] v1.10.0 -> v1.10.0 2025-08-14T21:18:08.7854600Z * [new tag] v1.10.0-rc1 -> v1.10.0-rc1 2025-08-14T21:18:08.7854703Z * [new tag] v1.10.0-rc2 -> v1.10.0-rc2 2025-08-14T21:18:08.7854920Z * [new tag] v1.10.0-rc3 -> v1.10.0-rc3 2025-08-14T21:18:08.7855518Z * [new tag] v1.10.1 -> v1.10.1 2025-08-14T21:18:08.7855663Z * [new tag] v1.10.1-rc1 -> v1.10.1-rc1 2025-08-14T21:18:08.7855757Z * [new tag] v1.10.2 -> v1.10.2 2025-08-14T21:18:08.7855861Z * [new tag] v1.10.2-rc1 -> v1.10.2-rc1 2025-08-14T21:18:08.7856102Z * [new tag] v1.11.0 -> v1.11.0 2025-08-14T21:18:08.7856202Z * [new tag] v1.11.0-rc1 -> v1.11.0-rc1 2025-08-14T21:18:08.7856294Z * [new tag] v1.11.0-rc2 -> v1.11.0-rc2 2025-08-14T21:18:08.7856389Z * [new tag] v1.11.0-rc3 -> v1.11.0-rc3 2025-08-14T21:18:08.7856498Z * [new tag] v1.11.0-rc4 -> v1.11.0-rc4 2025-08-14T21:18:08.7856592Z * [new tag] v1.11.0-rc5 -> v1.11.0-rc5 2025-08-14T21:18:08.7856713Z * [new tag] v1.11.0-rc6 -> v1.11.0-rc6 2025-08-14T21:18:08.7856805Z * [new tag] v1.11.0-rc7 -> v1.11.0-rc7 2025-08-14T21:18:08.7856893Z * [new tag] v1.12.0 -> v1.12.0 2025-08-14T21:18:08.7856993Z * [new tag] v1.12.0-rc1 -> v1.12.0-rc1 2025-08-14T21:18:08.7857088Z * [new tag] v1.12.0-rc2 -> v1.12.0-rc2 2025-08-14T21:18:08.7857178Z * [new tag] v1.12.0-rc3 -> v1.12.0-rc3 2025-08-14T21:18:08.7857274Z * [new tag] v1.12.0-rc4 -> v1.12.0-rc4 2025-08-14T21:18:08.7857364Z * [new tag] v1.12.0-rc5 -> v1.12.0-rc5 2025-08-14T21:18:08.7857458Z * [new tag] v1.12.0-rc6 -> v1.12.0-rc6 2025-08-14T21:18:08.7857547Z * [new tag] v1.12.0-rc7 -> v1.12.0-rc7 2025-08-14T21:18:08.7857706Z * [new tag] v1.12.0-rc8 -> v1.12.0-rc8 2025-08-14T21:18:08.7857803Z * [new tag] v1.12.1 -> v1.12.1 2025-08-14T21:18:08.7857894Z * [new tag] v1.12.1-rc1 -> v1.12.1-rc1 2025-08-14T21:18:08.7857984Z * [new tag] v1.12.1-rc2 -> v1.12.1-rc2 2025-08-14T21:18:08.7858082Z * [new tag] v1.12.1-rc3 -> v1.12.1-rc3 2025-08-14T21:18:08.7858172Z * [new tag] v1.12.1-rc4 -> v1.12.1-rc4 2025-08-14T21:18:08.7858279Z * [new tag] v1.12.1-rc5 -> v1.12.1-rc5 2025-08-14T21:18:08.7858364Z * [new tag] v1.13.0 -> v1.13.0 2025-08-14T21:18:08.7858452Z * [new tag] v1.13.0-rc1 -> v1.13.0-rc1 2025-08-14T21:18:08.7858549Z * [new tag] v1.13.0-rc2 -> v1.13.0-rc2 2025-08-14T21:18:08.7858639Z * [new tag] v1.13.0-rc3 -> v1.13.0-rc3 2025-08-14T21:18:08.7858734Z * [new tag] v1.13.0-rc4 -> v1.13.0-rc4 2025-08-14T21:18:08.7858821Z * [new tag] v1.13.0-rc5 -> v1.13.0-rc5 2025-08-14T21:18:08.7858912Z * [new tag] v1.13.0-rc6 -> v1.13.0-rc6 2025-08-14T21:18:08.7859019Z * [new tag] v1.13.1 -> v1.13.1 2025-08-14T21:18:08.7859110Z * [new tag] v1.13.1-rc1 -> v1.13.1-rc1 2025-08-14T21:18:08.7859211Z * [new tag] v1.2.0 -> v1.2.0 2025-08-14T21:18:08.7859319Z * [new tag] v1.2.0a0 -> v1.2.0a0 2025-08-14T21:18:08.7859413Z * [new tag] v1.3.0 -> v1.3.0 2025-08-14T21:18:08.7859638Z * [new tag] v1.3.0a0 -> v1.3.0a0 2025-08-14T21:18:08.7859913Z * [new tag] v1.3.1 -> v1.3.1 2025-08-14T21:18:08.7860032Z * [new tag] v1.4.0 -> v1.4.0 2025-08-14T21:18:08.7860136Z * [new tag] v1.4.0a0 -> v1.4.0a0 2025-08-14T21:18:08.7872122Z * [new tag] v1.4.1 -> v1.4.1 2025-08-14T21:18:08.7872354Z * [new tag] v1.5.0 -> v1.5.0 2025-08-14T21:18:08.7877368Z * [new tag] v1.5.0-rc1 -> v1.5.0-rc1 2025-08-14T21:18:08.7879616Z * [new tag] v1.5.0-rc2 -> v1.5.0-rc2 2025-08-14T21:18:08.7879842Z * [new tag] v1.5.0-rc3 -> v1.5.0-rc3 2025-08-14T21:18:08.7886055Z * [new tag] v1.5.0-rc4 -> v1.5.0-rc4 2025-08-14T21:18:08.7891349Z * [new tag] v1.5.0-rc5 -> v1.5.0-rc5 2025-08-14T21:18:08.7891644Z * [new tag] v1.5.1 -> v1.5.1 2025-08-14T21:18:08.7891768Z * [new tag] v1.5.1-rc1 -> v1.5.1-rc1 2025-08-14T21:18:08.7891868Z * [new tag] v1.6.0 -> v1.6.0 2025-08-14T21:18:08.7892104Z * [new tag] v1.6.0-rc1 -> v1.6.0-rc1 2025-08-14T21:18:08.7892300Z * [new tag] v1.6.0-rc2 -> v1.6.0-rc2 2025-08-14T21:18:08.7892406Z * [new tag] v1.6.0-rc3 -> v1.6.0-rc3 2025-08-14T21:18:08.7892498Z * [new tag] v1.6.0-rc4 -> v1.6.0-rc4 2025-08-14T21:18:08.7892592Z * [new tag] v1.6.0-rc5 -> v1.6.0-rc5 2025-08-14T21:18:08.7892689Z * [new tag] v1.6.0-rc6 -> v1.6.0-rc6 2025-08-14T21:18:08.7892783Z * [new tag] v1.6.0-rc7 -> v1.6.0-rc7 2025-08-14T21:18:08.7892886Z * [new tag] v1.7.0 -> v1.7.0 2025-08-14T21:18:08.7893119Z * [new tag] v1.7.0-rc1 -> v1.7.0-rc1 2025-08-14T21:18:08.7893220Z * [new tag] v1.7.0-rc2 -> v1.7.0-rc2 2025-08-14T21:18:08.7893324Z * [new tag] v1.7.0-rc3 -> v1.7.0-rc3 2025-08-14T21:18:08.7893418Z * [new tag] v1.7.0-rc4 -> v1.7.0-rc4 2025-08-14T21:18:08.7893515Z * [new tag] v1.7.1 -> v1.7.1 2025-08-14T21:18:08.7893613Z * [new tag] v1.7.1-rc1 -> v1.7.1-rc1 2025-08-14T21:18:08.7893707Z * [new tag] v1.7.1-rc2 -> v1.7.1-rc2 2025-08-14T21:18:08.7893805Z * [new tag] v1.7.1-rc3 -> v1.7.1-rc3 2025-08-14T21:18:08.7893896Z * [new tag] v1.8.0 -> v1.8.0 2025-08-14T21:18:08.7893996Z * [new tag] v1.8.0-rc1 -> v1.8.0-rc1 2025-08-14T21:18:08.7894089Z * [new tag] v1.8.0-rc2 -> v1.8.0-rc2 2025-08-14T21:18:08.7894213Z * [new tag] v1.8.0-rc3 -> v1.8.0-rc3 2025-08-14T21:18:08.7894311Z * [new tag] v1.8.0-rc4 -> v1.8.0-rc4 2025-08-14T21:18:08.7894407Z * [new tag] v1.8.0-rc5 -> v1.8.0-rc5 2025-08-14T21:18:08.7894502Z * [new tag] v1.8.1 -> v1.8.1 2025-08-14T21:18:08.7894603Z * [new tag] v1.8.1-rc1 -> v1.8.1-rc1 2025-08-14T21:18:08.7894701Z * [new tag] v1.8.1-rc2 -> v1.8.1-rc2 2025-08-14T21:18:08.7894798Z * [new tag] v1.8.1-rc3 -> v1.8.1-rc3 2025-08-14T21:18:08.7894887Z * [new tag] v1.8.2 -> v1.8.2 2025-08-14T21:18:08.7894988Z * [new tag] v1.8.2-rc1 -> v1.8.2-rc1 2025-08-14T21:18:08.7895080Z * [new tag] v1.9.0 -> v1.9.0 2025-08-14T21:18:08.7895173Z * [new tag] v1.9.0-rc1 -> v1.9.0-rc1 2025-08-14T21:18:08.7895268Z * [new tag] v1.9.0-rc2 -> v1.9.0-rc2 2025-08-14T21:18:08.7895357Z * [new tag] v1.9.0-rc3 -> v1.9.0-rc3 2025-08-14T21:18:08.7895446Z * [new tag] v1.9.0-rc4 -> v1.9.0-rc4 2025-08-14T21:18:08.7895583Z * [new tag] v1.9.1 -> v1.9.1 2025-08-14T21:18:08.7895674Z * [new tag] v1.9.1-rc1 -> v1.9.1-rc1 2025-08-14T21:18:08.7895770Z * [new tag] v1.9.1-rc2 -> v1.9.1-rc2 2025-08-14T21:18:08.7895858Z * [new tag] v2.0.0 -> v2.0.0 2025-08-14T21:18:08.7895948Z * [new tag] v2.0.0-rc1 -> v2.0.0-rc1 2025-08-14T21:18:08.7896042Z * [new tag] v2.0.0-rc2 -> v2.0.0-rc2 2025-08-14T21:18:08.7896132Z * [new tag] v2.0.0-rc3 -> v2.0.0-rc3 2025-08-14T21:18:08.7896223Z * [new tag] v2.0.0-rc4 -> v2.0.0-rc4 2025-08-14T21:18:08.7896322Z * [new tag] v2.0.0-rc5 -> v2.0.0-rc5 2025-08-14T21:18:08.7896413Z * [new tag] v2.0.0-rc6 -> v2.0.0-rc6 2025-08-14T21:18:08.7896504Z * [new tag] v2.0.1 -> v2.0.1 2025-08-14T21:18:08.7896597Z * [new tag] v2.0.1-rc1 -> v2.0.1-rc1 2025-08-14T21:18:08.7896698Z * [new tag] v2.0.1-rc2 -> v2.0.1-rc2 2025-08-14T21:18:08.7896788Z * [new tag] v2.0.1-rc3 -> v2.0.1-rc3 2025-08-14T21:18:08.7896875Z * [new tag] v2.0.1-rc4 -> v2.0.1-rc4 2025-08-14T21:18:08.7896960Z * [new tag] v2.1.0 -> v2.1.0 2025-08-14T21:18:08.7897052Z * [new tag] v2.1.0-rc1 -> v2.1.0-rc1 2025-08-14T21:18:08.7897178Z * [new tag] v2.1.0-rc2 -> v2.1.0-rc2 2025-08-14T21:18:08.7897276Z * [new tag] v2.1.0-rc3 -> v2.1.0-rc3 2025-08-14T21:18:08.7897367Z * [new tag] v2.1.0-rc4 -> v2.1.0-rc4 2025-08-14T21:18:08.7897460Z * [new tag] v2.1.0-rc5 -> v2.1.0-rc5 2025-08-14T21:18:08.7897559Z * [new tag] v2.1.0-rc6 -> v2.1.0-rc6 2025-08-14T21:18:08.7897647Z * [new tag] v2.1.1 -> v2.1.1 2025-08-14T21:18:08.7897736Z * [new tag] v2.1.1-rc1 -> v2.1.1-rc1 2025-08-14T21:18:08.7897836Z * [new tag] v2.1.1-rc2 -> v2.1.1-rc2 2025-08-14T21:18:08.7897928Z * [new tag] v2.1.1-rc3 -> v2.1.1-rc3 2025-08-14T21:18:08.7898021Z * [new tag] v2.1.1-rc4 -> v2.1.1-rc4 2025-08-14T21:18:08.7898112Z * [new tag] v2.1.1-rc5 -> v2.1.1-rc5 2025-08-14T21:18:08.7898199Z * [new tag] v2.1.1-rc6 -> v2.1.1-rc6 2025-08-14T21:18:08.7898289Z * [new tag] v2.1.2 -> v2.1.2 2025-08-14T21:18:08.7898531Z * [new tag] v2.1.2-rc1 -> v2.1.2-rc1 2025-08-14T21:18:08.7899150Z * [new tag] v2.1.2-rc2 -> v2.1.2-rc2 2025-08-14T21:18:08.7899293Z * [new tag] v2.1.2-rc3 -> v2.1.2-rc3 2025-08-14T21:18:08.7899405Z * [new tag] v2.2.0 -> v2.2.0 2025-08-14T21:18:08.7899600Z * [new tag] v2.2.0-rc1 -> v2.2.0-rc1 2025-08-14T21:18:08.7899704Z * [new tag] v2.2.0-rc2 -> v2.2.0-rc2 2025-08-14T21:18:08.7899795Z * [new tag] v2.2.0-rc3 -> v2.2.0-rc3 2025-08-14T21:18:08.7899926Z * [new tag] v2.2.0-rc4 -> v2.2.0-rc4 2025-08-14T21:18:08.7903638Z * [new tag] v2.2.0-rc5 -> v2.2.0-rc5 2025-08-14T21:18:08.7903859Z * [new tag] v2.2.0-rc6 -> v2.2.0-rc6 2025-08-14T21:18:08.7903970Z * [new tag] v2.2.0-rc7 -> v2.2.0-rc7 2025-08-14T21:18:08.7904078Z * [new tag] v2.2.0-rc8 -> v2.2.0-rc8 2025-08-14T21:18:08.7904430Z * [new tag] v2.2.1 -> v2.2.1 2025-08-14T21:18:08.7909398Z * [new tag] v2.2.1-rc1 -> v2.2.1-rc1 2025-08-14T21:18:08.7911200Z * [new tag] v2.2.1-rc2 -> v2.2.1-rc2 2025-08-14T21:18:08.7911429Z * [new tag] v2.2.1-rc3 -> v2.2.1-rc3 2025-08-14T21:18:08.7917291Z * [new tag] v2.2.2 -> v2.2.2 2025-08-14T21:18:08.7919089Z * [new tag] v2.2.2-rc1 -> v2.2.2-rc1 2025-08-14T21:18:08.7919346Z * [new tag] v2.2.2-rc2 -> v2.2.2-rc2 2025-08-14T21:18:08.7919463Z * [new tag] v2.2.2-rc3 -> v2.2.2-rc3 2025-08-14T21:18:08.7919561Z * [new tag] v2.3.0 -> v2.3.0 2025-08-14T21:18:08.7919795Z * [new tag] v2.3.0-rc1 -> v2.3.0-rc1 2025-08-14T21:18:08.7919902Z * [new tag] v2.3.0-rc10 -> v2.3.0-rc10 2025-08-14T21:18:08.7920088Z * [new tag] v2.3.0-rc11 -> v2.3.0-rc11 2025-08-14T21:18:08.7920200Z * [new tag] v2.3.0-rc12 -> v2.3.0-rc12 2025-08-14T21:18:08.7920335Z * [new tag] v2.3.0-rc2 -> v2.3.0-rc2 2025-08-14T21:18:08.7920426Z * [new tag] v2.3.0-rc3 -> v2.3.0-rc3 2025-08-14T21:18:08.7920610Z * [new tag] v2.3.0-rc4 -> v2.3.0-rc4 2025-08-14T21:18:08.7920911Z * [new tag] v2.3.0-rc5 -> v2.3.0-rc5 2025-08-14T21:18:08.7921012Z * [new tag] v2.3.0-rc6 -> v2.3.0-rc6 2025-08-14T21:18:08.7921236Z * [new tag] v2.3.0-rc7 -> v2.3.0-rc7 2025-08-14T21:18:08.7921840Z * [new tag] v2.3.0-rc8 -> v2.3.0-rc8 2025-08-14T21:18:08.7922141Z * [new tag] v2.3.0-rc9 -> v2.3.0-rc9 2025-08-14T21:18:08.7922270Z * [new tag] v2.3.1 -> v2.3.1 2025-08-14T21:18:08.7922369Z * [new tag] v2.3.1-rc1 -> v2.3.1-rc1 2025-08-14T21:18:08.7922598Z * [new tag] v2.3.1-rc2 -> v2.3.1-rc2 2025-08-14T21:18:08.7922717Z * [new tag] v2.3.1-rc3 -> v2.3.1-rc3 2025-08-14T21:18:08.7922815Z * [new tag] v2.4.0 -> v2.4.0 2025-08-14T21:18:08.7922911Z * [new tag] v2.4.0-rc1 -> v2.4.0-rc1 2025-08-14T21:18:08.7923000Z * [new tag] v2.4.0-rc2 -> v2.4.0-rc2 2025-08-14T21:18:08.7923094Z * [new tag] v2.4.0-rc3 -> v2.4.0-rc3 2025-08-14T21:18:08.7923184Z * [new tag] v2.4.0-rc4 -> v2.4.0-rc4 2025-08-14T21:18:08.7923275Z * [new tag] v2.4.0-rc5 -> v2.4.0-rc5 2025-08-14T21:18:08.7923374Z * [new tag] v2.4.0-rc6 -> v2.4.0-rc6 2025-08-14T21:18:08.7923464Z * [new tag] v2.4.0-rc7 -> v2.4.0-rc7 2025-08-14T21:18:08.7923561Z * [new tag] v2.4.0-rc8 -> v2.4.0-rc8 2025-08-14T21:18:08.7923648Z * [new tag] v2.4.0-rc9 -> v2.4.0-rc9 2025-08-14T21:18:08.7923736Z * [new tag] v2.4.1 -> v2.4.1 2025-08-14T21:18:08.7923832Z * [new tag] v2.4.1-rc1 -> v2.4.1-rc1 2025-08-14T21:18:08.7923937Z * [new tag] v2.4.1-rc2 -> v2.4.1-rc2 2025-08-14T21:18:08.7924036Z * [new tag] v2.4.1-rc3 -> v2.4.1-rc3 2025-08-14T21:18:08.7924123Z * [new tag] v2.5.0 -> v2.5.0 2025-08-14T21:18:08.7924211Z * [new tag] v2.5.0-rc1 -> v2.5.0-rc1 2025-08-14T21:18:08.7924515Z * [new tag] v2.5.0-rc10 -> v2.5.0-rc10 2025-08-14T21:18:08.7924606Z * [new tag] v2.5.0-rc2 -> v2.5.0-rc2 2025-08-14T21:18:08.7924693Z * [new tag] v2.5.0-rc3 -> v2.5.0-rc3 2025-08-14T21:18:08.7924790Z * [new tag] v2.5.0-rc4 -> v2.5.0-rc4 2025-08-14T21:18:08.7924876Z * [new tag] v2.5.0-rc5 -> v2.5.0-rc5 2025-08-14T21:18:08.7924971Z * [new tag] v2.5.0-rc6 -> v2.5.0-rc6 2025-08-14T21:18:08.7925061Z * [new tag] v2.5.0-rc7 -> v2.5.0-rc7 2025-08-14T21:18:08.7925149Z * [new tag] v2.5.0-rc8 -> v2.5.0-rc8 2025-08-14T21:18:08.7925244Z * [new tag] v2.5.0-rc9 -> v2.5.0-rc9 2025-08-14T21:18:08.7925330Z * [new tag] v2.5.1 -> v2.5.1 2025-08-14T21:18:08.7925419Z * [new tag] v2.5.1-rc1 -> v2.5.1-rc1 2025-08-14T21:18:08.7925662Z * [new tag] v2.6.0 -> v2.6.0 2025-08-14T21:18:08.7930212Z * [new tag] v2.6.0-rc1 -> v2.6.0-rc1 2025-08-14T21:18:08.7930497Z * [new tag] v2.6.0-rc2 -> v2.6.0-rc2 2025-08-14T21:18:08.7930618Z * [new tag] v2.6.0-rc3 -> v2.6.0-rc3 2025-08-14T21:18:08.7930713Z * [new tag] v2.6.0-rc4 -> v2.6.0-rc4 2025-08-14T21:18:08.7930939Z * [new tag] v2.6.0-rc5 -> v2.6.0-rc5 2025-08-14T21:18:08.7931032Z * [new tag] v2.6.0-rc6 -> v2.6.0-rc6 2025-08-14T21:18:08.7931129Z * [new tag] v2.6.0-rc7 -> v2.6.0-rc7 2025-08-14T21:18:08.7931351Z * [new tag] v2.6.0-rc8 -> v2.6.0-rc8 2025-08-14T21:18:08.7932247Z * [new tag] v2.6.0-rc9 -> v2.6.0-rc9 2025-08-14T21:18:08.7932362Z * [new tag] v2.7.0 -> v2.7.0 2025-08-14T21:18:08.7932455Z * [new tag] v2.7.0-rc1 -> v2.7.0-rc1 2025-08-14T21:18:08.7932679Z * [new tag] v2.7.0-rc10 -> v2.7.0-rc10 2025-08-14T21:18:08.7932790Z * [new tag] v2.7.0-rc2 -> v2.7.0-rc2 2025-08-14T21:18:08.7932914Z * [new tag] v2.7.0-rc3 -> v2.7.0-rc3 2025-08-14T21:18:08.7933016Z * [new tag] v2.7.0-rc4 -> v2.7.0-rc4 2025-08-14T21:18:08.7933114Z * [new tag] v2.7.0-rc5 -> v2.7.0-rc5 2025-08-14T21:18:08.7938165Z * [new tag] v2.7.0-rc6 -> v2.7.0-rc6 2025-08-14T21:18:08.7942204Z * [new tag] v2.7.0-rc7 -> v2.7.0-rc7 2025-08-14T21:18:08.7944093Z * [new tag] v2.7.0-rc8 -> v2.7.0-rc8 2025-08-14T21:18:08.7944320Z * [new tag] v2.7.0-rc9 -> v2.7.0-rc9 2025-08-14T21:18:08.7948957Z * [new tag] v2.7.1 -> v2.7.1 2025-08-14T21:18:08.7951038Z * [new tag] v2.7.1-rc1 -> v2.7.1-rc1 2025-08-14T21:18:08.7951248Z * [new tag] v2.7.1-rc2 -> v2.7.1-rc2 2025-08-14T21:18:08.7954523Z * [new tag] v2.7.1-rc3 -> v2.7.1-rc3 2025-08-14T21:18:08.7954760Z * [new tag] v2.7.1-rc4 -> v2.7.1-rc4 2025-08-14T21:18:08.7959713Z * [new tag] v2.7.1-rc5 -> v2.7.1-rc5 2025-08-14T21:18:08.7963263Z * [new tag] v2.8.0 -> v2.8.0 2025-08-14T21:18:08.7967155Z * [new tag] v2.8.0-rc1 -> v2.8.0-rc1 2025-08-14T21:18:08.7970608Z * [new tag] v2.8.0-rc2 -> v2.8.0-rc2 2025-08-14T21:18:08.7972369Z * [new tag] v2.8.0-rc3 -> v2.8.0-rc3 2025-08-14T21:18:08.7972647Z * [new tag] v2.8.0-rc4 -> v2.8.0-rc4 2025-08-14T21:18:08.7972760Z * [new tag] v2.8.0-rc5 -> v2.8.0-rc5 2025-08-14T21:18:08.7972847Z * [new tag] v2.8.0-rc6 -> v2.8.0-rc6 2025-08-14T21:18:08.7972944Z * [new tag] v2.8.0-rc7 -> v2.8.0-rc7 2025-08-14T21:18:08.7973033Z * [new tag] v2.8.0-rc8 -> v2.8.0-rc8 2025-08-14T21:18:08.7973274Z * [new tag] whc_flight_1 -> whc_flight_1 2025-08-14T21:18:08.7973396Z * [new tag] whc_flight_2 -> whc_flight_2 2025-08-14T21:18:08.7973519Z * [new tag] whc_flight_4 -> whc_flight_4 2025-08-14T21:18:08.8395305Z [command]/usr/bin/git rev-parse --verify --quiet 1fc683cf17c8c673044538d10266c00f92987be2^{object} 2025-08-14T21:18:08.8420891Z 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:18:08.8428246Z ##[endgroup] 2025-08-14T21:18:08.8430427Z ##[group]Determining the checkout info 2025-08-14T21:18:08.8430751Z ##[endgroup] 2025-08-14T21:18:08.8434812Z [command]/usr/bin/git sparse-checkout disable 2025-08-14T21:18:08.8476301Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-08-14T21:18:08.8510539Z ##[group]Checking out the ref 2025-08-14T21:18:08.8510874Z [command]/usr/bin/git checkout --progress --force 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:18:09.8044176Z Note: switching to '1fc683cf17c8c673044538d10266c00f92987be2'. 2025-08-14T21:18:09.8044780Z 2025-08-14T21:18:09.8044952Z You are in 'detached HEAD' state. You can look around, make experimental 2025-08-14T21:18:09.8045290Z changes and commit them, and you can discard any commits you make in this 2025-08-14T21:18:09.8045599Z state without impacting any branches by switching back to a branch. 2025-08-14T21:18:09.8045797Z 2025-08-14T21:18:09.8045920Z If you want to create a new branch to retain commits you create, you may 2025-08-14T21:18:09.8046214Z do so (now or later) by using -c with the switch command. Example: 2025-08-14T21:18:09.8046375Z 2025-08-14T21:18:09.8046459Z git switch -c 2025-08-14T21:18:09.8046590Z 2025-08-14T21:18:09.8046666Z Or undo this operation with: 2025-08-14T21:18:09.8046786Z 2025-08-14T21:18:09.8046849Z git switch - 2025-08-14T21:18:09.8046936Z 2025-08-14T21:18:09.8047086Z Turn off this advice by setting config variable advice.detachedHead to false 2025-08-14T21:18:09.8047473Z 2025-08-14T21:18:09.8047705Z HEAD is now at 1fc683cf17c [Inductor] Allow indexing a flexible layout for extract_input_node_reduction_ranges (#160645) 2025-08-14T21:18:09.8096999Z ##[endgroup] 2025-08-14T21:18:09.8097324Z ##[group]Setting up auth for fetching submodules 2025-08-14T21:18:09.8103618Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-08-14T21:18:09.8172560Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-08-14T21:18:09.8199433Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-08-14T21:18:09.8232433Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-08-14T21:18:09.8256640Z ##[endgroup] 2025-08-14T21:18:09.8257132Z ##[group]Fetching submodules 2025-08-14T21:18:09.8261976Z [command]/usr/bin/git submodule sync --recursive 2025-08-14T21:18:09.8591308Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2025-08-14T21:18:09.8900467Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni' 2025-08-14T21:18:09.8901131Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16' 2025-08-14T21:18:09.8902045Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv' 2025-08-14T21:18:09.8902618Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK' 2025-08-14T21:18:09.8904550Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX' 2025-08-14T21:18:09.8906834Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator' 2025-08-14T21:18:09.8913129Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK' 2025-08-14T21:18:09.8917508Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter' 2025-08-14T21:18:09.8921905Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark' 2025-08-14T21:18:09.8926795Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel' 2025-08-14T21:18:09.8928082Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib' 2025-08-14T21:18:09.8928628Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo' 2025-08-14T21:18:09.8929406Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend' 2025-08-14T21:18:09.8929951Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass' 2025-08-14T21:18:09.8930420Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm' 2025-08-14T21:18:09.8930964Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention' 2025-08-14T21:18:09.8932530Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers' 2025-08-14T21:18:09.8933163Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt' 2025-08-14T21:18:09.8935168Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp' 2025-08-14T21:18:09.8935686Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo' 2025-08-14T21:18:09.8960754Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' 2025-08-14T21:18:09.8965462Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep' 2025-08-14T21:18:09.8967557Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi' 2025-08-14T21:18:09.8971669Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto' 2025-08-14T21:18:09.8972387Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai' 2025-08-14T21:18:09.8972935Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc' 2025-08-14T21:18:09.8973438Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann' 2025-08-14T21:18:09.8975561Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx' 2025-08-14T21:18:09.8978163Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp' 2025-08-14T21:18:09.8980680Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft' 2025-08-14T21:18:09.8984168Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf' 2025-08-14T21:18:09.8986346Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd' 2025-08-14T21:18:09.8989145Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool' 2025-08-14T21:18:09.8992820Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' 2025-08-14T21:18:09.8995587Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy' 2025-08-14T21:18:09.9000207Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef' 2025-08-14T21:18:09.9001119Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe' 2025-08-14T21:18:09.9037523Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'... 2025-08-14T21:18:10.1217357Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'... 2025-08-14T21:18:10.1217892Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/psimd'... 2025-08-14T21:18:10.1218351Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'... 2025-08-14T21:18:10.1229623Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pthreadpool'... 2025-08-14T21:18:10.3107491Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'... 2025-08-14T21:18:10.3108022Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pocketfft'... 2025-08-14T21:18:10.3108495Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep'... 2025-08-14T21:18:10.3108981Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gloo'... 2025-08-14T21:18:10.3200423Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/python-peachpy'... 2025-08-14T21:18:10.3854280Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NVTX'... 2025-08-14T21:18:10.3854804Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'... 2025-08-14T21:18:10.3855270Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ittapi'... 2025-08-14T21:18:10.3855784Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'... 2025-08-14T21:18:10.3856268Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kleidiai'... 2025-08-14T21:18:10.4855782Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe'... 2025-08-14T21:18:10.5712394Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention'... 2025-08-14T21:18:10.5712921Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpp-httplib'... 2025-08-14T21:18:10.5713352Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'... 2025-08-14T21:18:10.6714053Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'... 2025-08-14T21:18:11.4534550Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/mimalloc'... 2025-08-14T21:18:11.4535073Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/googletest'... 2025-08-14T21:18:11.4535492Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/sleef'... 2025-08-14T21:18:11.4535908Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pybind11'... 2025-08-14T21:18:11.4536338Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'... 2025-08-14T21:18:11.4536936Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fmt'... 2025-08-14T21:18:11.4537335Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto'... 2025-08-14T21:18:11.5535706Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'... 2025-08-14T21:18:22.1765177Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flatbuffers'... 2025-08-14T21:18:22.1770485Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm'... 2025-08-14T21:18:22.1771447Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cutlass'... 2025-08-14T21:18:22.1771832Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx'... 2025-08-14T21:18:22.1772239Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/composable_kernel'... 2025-08-14T21:18:22.1772662Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter'... 2025-08-14T21:18:22.1773067Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp'... 2025-08-14T21:18:22.1773474Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nlohmann'... 2025-08-14T21:18:22.1773857Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf'... 2025-08-14T21:18:22.1895245Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2025-08-14T21:18:22.2000488Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-08-14T21:18:22.2088328Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-08-14T21:18:22.2296056Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2025-08-14T21:18:22.2955039Z Submodule path 'third_party/NVTX': checked out '2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07' 2025-08-14T21:18:22.3400191Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1' 2025-08-14T21:18:22.8450416Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883' 2025-08-14T21:18:22.9600028Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150' 2025-08-14T21:18:22.9619925Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel' 2025-08-14T21:18:22.9646049Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'... 2025-08-14T21:18:26.2281745Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf' 2025-08-14T21:18:26.2469824Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f' 2025-08-14T21:18:26.4743629Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-08-14T21:18:26.5163459Z Submodule path 'third_party/cpp-httplib': checked out '3af7f2c16147f3fbc6e4d717032daf505dc1652c' 2025-08-14T21:18:26.5969501Z Submodule path 'third_party/cpuinfo': checked out '5e3d2445e6a84d9599bee2bf78edbb4d80865e1d' 2025-08-14T21:18:26.6344134Z Submodule path 'third_party/cudnn_frontend': checked out 'f937055efc6d414d11f4c6577e3977fe74f35fb6' 2025-08-14T21:18:27.1205594Z Submodule path 'third_party/cutlass': checked out 'e51efbfe18fe4f4cbb66ab814c55bf4aa0185491' 2025-08-14T21:18:27.2267662Z Submodule path 'third_party/fbgemm': checked out '21c7d30c526c0f1ad873ecc632dca6cfa8a69067' 2025-08-14T21:18:27.2285763Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit' 2025-08-14T21:18:27.2286774Z Submodule 'external/composable_kernel' (https://github.com/jwfromm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel' 2025-08-14T21:18:27.2287976Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo' 2025-08-14T21:18:27.2288530Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass' 2025-08-14T21:18:27.2289385Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest' 2025-08-14T21:18:27.2295767Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch' 2025-08-14T21:18:27.2296624Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json' 2025-08-14T21:18:27.2329558Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'... 2025-08-14T21:18:28.3379639Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'... 2025-08-14T21:18:28.3380774Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'... 2025-08-14T21:18:28.3381338Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'... 2025-08-14T21:18:28.4159743Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'... 2025-08-14T21:18:28.5162538Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'... 2025-08-14T21:18:29.4060480Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/json'... 2025-08-14T21:18:33.3483036Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea' 2025-08-14T21:18:33.5319576Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out 'b1281b8b08d973a7064f864f47eeb30f3e2596e9' 2025-08-14T21:18:33.6149369Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349' 2025-08-14T21:18:34.0818912Z Submodule path 'third_party/fbgemm/external/cutlass': checked out 'b40777404c174b9694a870bff5c13ce6b7f656ad' 2025-08-14T21:18:34.1200329Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-08-14T21:18:34.1310850Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out 'a4337c69fe0e2552a7b7b0669178926beeed828c' 2025-08-14T21:18:34.2153443Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03' 2025-08-14T21:18:34.2690650Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5' 2025-08-14T21:18:34.2708502Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel' 2025-08-14T21:18:34.2713645Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass' 2025-08-14T21:18:34.2736059Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'... 2025-08-14T21:18:37.2473474Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'... 2025-08-14T21:18:37.4172859Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33' 2025-08-14T21:18:37.8446706Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420' 2025-08-14T21:18:37.9449792Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757' 2025-08-14T21:18:37.9729017Z Submodule path 'third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21' 2025-08-14T21:18:38.0049202Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2025-08-14T21:18:38.0238354Z Submodule path 'third_party/gloo': checked out 'c7b7b022c124d9643957d9bd55f57ac59fce8fa2' 2025-08-14T21:18:38.0606814Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-08-14T21:18:38.0722603Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3' 2025-08-14T21:18:38.0737174Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn' 2025-08-14T21:18:38.0760523Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'... 2025-08-14T21:18:48.8897600Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d' 2025-08-14T21:18:48.9067203Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959' 2025-08-14T21:18:48.9855905Z Submodule path 'third_party/kineto': checked out '5e7501833f1021ce6f618572d3baf657b6319658' 2025-08-14T21:18:48.9872662Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-14T21:18:48.9874279Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt' 2025-08-14T21:18:48.9875273Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest' 2025-08-14T21:18:48.9902268Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'... 2025-08-14T21:18:49.6087517Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'... 2025-08-14T21:18:50.1834777Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'... 2025-08-14T21:18:50.2509075Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out '7d04a0053a845370ae06ce317a22a48e9edcc74e' 2025-08-14T21:18:50.2525705Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-14T21:18:50.2527651Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-14T21:18:50.2528628Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-14T21:18:50.2532606Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-14T21:18:50.2534750Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-14T21:18:50.2535450Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-14T21:18:50.2536142Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-14T21:18:50.2536790Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-08-14T21:18:50.2567730Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'... 2025-08-14T21:18:51.3212676Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'... 2025-08-14T21:18:51.3213631Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'... 2025-08-14T21:18:51.3214287Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'... 2025-08-14T21:18:51.3214926Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'... 2025-08-14T21:18:51.3215561Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'... 2025-08-14T21:18:51.4216003Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'... 2025-08-14T21:18:51.5254691Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'... 2025-08-14T21:18:56.4146441Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2025-08-14T21:18:56.4292386Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2025-08-14T21:18:56.4585471Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2025-08-14T21:18:56.4702064Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2025-08-14T21:18:56.4717450Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-14T21:18:56.4744796Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'... 2025-08-14T21:18:56.7658833Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4' 2025-08-14T21:18:56.7816845Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446' 2025-08-14T21:18:56.8151754Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '58d77fa8070e8cec2dc1ed015d66b454c8d78850' 2025-08-14T21:18:56.8967104Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5' 2025-08-14T21:18:56.9109115Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150' 2025-08-14T21:18:56.9427973Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '0041a40c1350ba702d475b9c4ad62da77caea164' 2025-08-14T21:18:56.9901500Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '7aca84427f224eeed3144123d5230d5871e93347' 2025-08-14T21:18:57.0258068Z Submodule path 'third_party/kleidiai': checked out 'cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7' 2025-08-14T21:18:57.0570980Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e' 2025-08-14T21:18:57.1457343Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72' 2025-08-14T21:18:57.4195722Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83' 2025-08-14T21:18:57.4226447Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/onnx/third_party/pybind11' 2025-08-14T21:18:57.4251936Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx/third_party/pybind11'... 2025-08-14T21:18:58.3831432Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4' 2025-08-14T21:18:58.4359025Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878' 2025-08-14T21:18:58.4377046Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark) registered for path 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-08-14T21:18:58.4377971Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/opentelemetry-cpp/third_party/googletest' 2025-08-14T21:18:58.4378778Z Submodule 'third_party/ms-gsl' (https://github.com/microsoft/GSL) registered for path 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-08-14T21:18:58.4379406Z Submodule 'third_party/nlohmann-json' (https://github.com/nlohmann/json) registered for path 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-14T21:18:58.4380354Z Submodule 'third_party/opentelemetry-proto' (https://github.com/open-telemetry/opentelemetry-proto) registered for path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-14T21:18:58.4381201Z Submodule 'third_party/opentracing-cpp' (https://github.com/opentracing/opentracing-cpp.git) registered for path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-14T21:18:58.4386203Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-14T21:18:58.4391200Z Submodule 'tools/vcpkg' (https://github.com/Microsoft/vcpkg) registered for path 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-14T21:18:58.4417612Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/benchmark'... 2025-08-14T21:18:58.8400529Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentracing-cpp'... 2025-08-14T21:18:58.8402102Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentelemetry-proto'... 2025-08-14T21:18:58.8402957Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/ms-gsl'... 2025-08-14T21:18:58.8403653Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp'... 2025-08-14T21:18:58.9408252Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/googletest'... 2025-08-14T21:18:59.9370962Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/nlohmann-json'... 2025-08-14T21:19:04.6111338Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/tools/vcpkg'... 2025-08-14T21:19:05.3921556Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2' 2025-08-14T21:19:05.4255622Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1' 2025-08-14T21:19:05.4407975Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out '6f4529395c5b7c2d661812257cd6780c67e54afa' 2025-08-14T21:19:05.5292691Z Submodule path 'third_party/opentelemetry-cpp/third_party/nlohmann-json': checked out 'bc889afb4c5bf1c0d8ee29ef35eaaf4c8bef8a5d' 2025-08-14T21:19:05.5425724Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto': checked out '4ca4f0335c63cda7ab31ea7ed70d6553aee14dce' 2025-08-14T21:19:05.5571688Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp': checked out '06b57f48ded1fa3bdd3d4346f6ef29e40e08eaf5' 2025-08-14T21:19:05.5719523Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp': checked out 'c9ffcdda9086ffd9e1283ea7a0276d831f3c8a8d' 2025-08-14T21:19:05.5731332Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-08-14T21:19:05.5734449Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-08-14T21:19:05.5757883Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'... 2025-08-14T21:19:07.4060286Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'... 2025-08-14T21:19:07.6106868Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'eefb26f82b233268fc98577d265352720d477ba4' 2025-08-14T21:19:07.6491844Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929' 2025-08-14T21:19:07.9578840Z Submodule path 'third_party/opentelemetry-cpp/tools/vcpkg': checked out '8eb57355a4ffb410a2e94c07b4dca2dffbee8e50' 2025-08-14T21:19:07.9691406Z Submodule path 'third_party/pocketfft': checked out '0fa0ef591e38c2758e3184c6c23e497b9f732ffa' 2025-08-14T21:19:08.1781025Z Submodule path 'third_party/protobuf': checked out 'd1eca4e4b421cd2997495c4b4e65cea6be4e9b8a' 2025-08-14T21:19:08.1800609Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/protobuf/third_party/benchmark' 2025-08-14T21:19:08.1802978Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/protobuf/third_party/googletest' 2025-08-14T21:19:08.1830023Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf/third_party/benchmark'... 2025-08-14T21:19:09.3386089Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf/third_party/googletest'... 2025-08-14T21:19:09.3504623Z Submodule path 'third_party/protobuf/third_party/benchmark': checked out '5b7683f49e1e9223cf9927b24f6fd3d6bd82e3f8' 2025-08-14T21:19:09.4101857Z Submodule path 'third_party/protobuf/third_party/googletest': checked out '5ec7f0c4a113e2f18ac2c6cc7df51ad6afc24081' 2025-08-14T21:19:09.4191580Z Submodule path 'third_party/psimd': checked out '072586a71b55b7f8c584153d223e95687148a900' 2025-08-14T21:19:09.4298121Z Submodule path 'third_party/pthreadpool': checked out '4fe0e1e183925bf8cfa6aae24237e724a96479b8' 2025-08-14T21:19:09.4606346Z Submodule path 'third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4' 2025-08-14T21:19:09.4847239Z Submodule path 'third_party/python-peachpy': checked out 'f45429b087dd7d5bc78bb40dc7cf06425c252d67' 2025-08-14T21:19:09.5198056Z Submodule path 'third_party/sleef': checked out '5a1d179df9cf652951b59010a2d2075372d67f68' 2025-08-14T21:19:09.5410988Z Submodule path 'third_party/tensorpipe': checked out 'dacda0567d9f23d4bc503e1c4f84aa65f33ac38a' 2025-08-14T21:19:09.5426621Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/tensorpipe/third_party/googletest' 2025-08-14T21:19:09.5428121Z Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 'third_party/tensorpipe/third_party/libnop' 2025-08-14T21:19:09.5428779Z Submodule 'third_party/libuv' (https://github.com/libuv/libuv.git) registered for path 'third_party/tensorpipe/third_party/libuv' 2025-08-14T21:19:09.5433661Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/tensorpipe/third_party/pybind11' 2025-08-14T21:19:09.5456999Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/googletest'... 2025-08-14T21:19:10.4504359Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/libnop'... 2025-08-14T21:19:10.4874705Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/libuv'... 2025-08-14T21:19:10.6602702Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/pybind11'... 2025-08-14T21:19:10.7088332Z Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' 2025-08-14T21:19:10.7223999Z Submodule path 'third_party/tensorpipe/third_party/libnop': checked out '910b55815be16109f04f4180e9adee14fb4ce281' 2025-08-14T21:19:10.7823358Z Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '5152db2cbfeb5582e9c27c5ea1dba2cd9e10759b' 2025-08-14T21:19:10.8074052Z Submodule 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'third_party/XNNPACK' 2025-08-14T21:19:12.5503909Z Entering 'third_party/aiter' 2025-08-14T21:19:12.5545752Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-08-14T21:19:12.5593008Z Entering 'third_party/benchmark' 2025-08-14T21:19:12.5636961Z Entering 'third_party/composable_kernel' 2025-08-14T21:19:12.5682244Z Entering 'third_party/cpp-httplib' 2025-08-14T21:19:12.5720920Z Entering 'third_party/cpuinfo' 2025-08-14T21:19:12.5760532Z Entering 'third_party/cudnn_frontend' 2025-08-14T21:19:12.5797440Z Entering 'third_party/cutlass' 2025-08-14T21:19:12.5845435Z Entering 'third_party/fbgemm' 2025-08-14T21:19:12.5885099Z Entering 'third_party/fbgemm/external/asmjit' 2025-08-14T21:19:12.5925887Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-08-14T21:19:12.5971192Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-08-14T21:19:12.6008406Z Entering 'third_party/fbgemm/external/cutlass' 2025-08-14T21:19:12.6053586Z Entering 'third_party/fbgemm/external/googletest' 2025-08-14T21:19:12.6091577Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-08-14T21:19:12.6131023Z Entering 'third_party/fbgemm/external/json' 2025-08-14T21:19:12.6173397Z Entering 'third_party/flash-attention' 2025-08-14T21:19:12.6214520Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-08-14T21:19:12.6256477Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-08-14T21:19:12.6303963Z Entering 'third_party/flatbuffers' 2025-08-14T21:19:12.6345619Z Entering 'third_party/fmt' 2025-08-14T21:19:12.6386710Z Entering 'third_party/gemmlowp/gemmlowp' 2025-08-14T21:19:12.6426731Z Entering 'third_party/gloo' 2025-08-14T21:19:12.6465871Z Entering 'third_party/googletest' 2025-08-14T21:19:12.6503755Z Entering 'third_party/ideep' 2025-08-14T21:19:12.6543984Z Entering 'third_party/ideep/mkl-dnn' 2025-08-14T21:19:12.6589262Z Entering 'third_party/ittapi' 2025-08-14T21:19:12.6632622Z Entering 'third_party/kineto' 2025-08-14T21:19:12.6671297Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-14T21:19:12.6706920Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-14T21:19:12.6749241Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-14T21:19:12.6784568Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-14T21:19:12.6825250Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-14T21:19:12.6861305Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-14T21:19:12.6902657Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-14T21:19:12.6943462Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-14T21:19:12.6981603Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-14T21:19:12.7022233Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-08-14T21:19:12.7065165Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-08-14T21:19:12.7103754Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-08-14T21:19:12.7146061Z Entering 'third_party/kleidiai' 2025-08-14T21:19:12.7185259Z Entering 'third_party/mimalloc' 2025-08-14T21:19:12.7225055Z Entering 'third_party/nlohmann' 2025-08-14T21:19:12.7264728Z Entering 'third_party/onnx' 2025-08-14T21:19:12.7315430Z Entering 'third_party/onnx/third_party/pybind11' 2025-08-14T21:19:12.7358537Z Entering 'third_party/opentelemetry-cpp' 2025-08-14T21:19:12.7398069Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-08-14T21:19:12.7436730Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-08-14T21:19:12.7476567Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-08-14T21:19:12.7517358Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-14T21:19:12.7556196Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-14T21:19:12.7593215Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-14T21:19:12.7632868Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-14T21:19:12.7671656Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-08-14T21:19:12.7710309Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-08-14T21:19:12.7752268Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-14T21:19:12.7806054Z Entering 'third_party/pocketfft' 2025-08-14T21:19:12.7847268Z Entering 'third_party/protobuf' 2025-08-14T21:19:12.7887772Z Entering 'third_party/protobuf/third_party/benchmark' 2025-08-14T21:19:12.7928085Z Entering 'third_party/protobuf/third_party/googletest' 2025-08-14T21:19:12.7969474Z Entering 'third_party/psimd' 2025-08-14T21:19:12.8010484Z Entering 'third_party/pthreadpool' 2025-08-14T21:19:12.8045923Z Entering 'third_party/pybind11' 2025-08-14T21:19:12.8084901Z Entering 'third_party/python-peachpy' 2025-08-14T21:19:12.8126298Z Entering 'third_party/sleef' 2025-08-14T21:19:12.8165338Z Entering 'third_party/tensorpipe' 2025-08-14T21:19:12.8202920Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-08-14T21:19:12.8242512Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-08-14T21:19:12.8283710Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-08-14T21:19:12.8322420Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-08-14T21:19:12.8356015Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-14T21:19:12.8420615Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:' 2025-08-14T21:19:12.8745794Z Entering 'android/libs/fbjni' 2025-08-14T21:19:12.8787821Z Entering 'third_party/FP16' 2025-08-14T21:19:12.8827237Z Entering 'third_party/FXdiv' 2025-08-14T21:19:12.8866927Z Entering 'third_party/NNPACK' 2025-08-14T21:19:12.8905361Z Entering 'third_party/NVTX' 2025-08-14T21:19:12.8948565Z Entering 'third_party/VulkanMemoryAllocator' 2025-08-14T21:19:12.8988174Z Entering 'third_party/XNNPACK' 2025-08-14T21:19:12.9039198Z Entering 'third_party/aiter' 2025-08-14T21:19:12.9077942Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-08-14T21:19:12.9125942Z Entering 'third_party/benchmark' 2025-08-14T21:19:12.9164388Z Entering 'third_party/composable_kernel' 2025-08-14T21:19:12.9211831Z Entering 'third_party/cpp-httplib' 2025-08-14T21:19:12.9248492Z Entering 'third_party/cpuinfo' 2025-08-14T21:19:12.9288721Z Entering 'third_party/cudnn_frontend' 2025-08-14T21:19:12.9331154Z Entering 'third_party/cutlass' 2025-08-14T21:19:12.9375887Z Entering 'third_party/fbgemm' 2025-08-14T21:19:12.9416224Z Entering 'third_party/fbgemm/external/asmjit' 2025-08-14T21:19:12.9454126Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-08-14T21:19:12.9496597Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-08-14T21:19:12.9537598Z Entering 'third_party/fbgemm/external/cutlass' 2025-08-14T21:19:12.9580565Z Entering 'third_party/fbgemm/external/googletest' 2025-08-14T21:19:12.9621145Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-08-14T21:19:12.9659837Z Entering 'third_party/fbgemm/external/json' 2025-08-14T21:19:12.9700844Z Entering 'third_party/flash-attention' 2025-08-14T21:19:12.9744507Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-08-14T21:19:12.9786259Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-08-14T21:19:12.9831789Z Entering 'third_party/flatbuffers' 2025-08-14T21:19:12.9872401Z Entering 'third_party/fmt' 2025-08-14T21:19:12.9914816Z Entering 'third_party/gemmlowp/gemmlowp' 2025-08-14T21:19:12.9951678Z Entering 'third_party/gloo' 2025-08-14T21:19:12.9991031Z Entering 'third_party/googletest' 2025-08-14T21:19:13.0034966Z Entering 'third_party/ideep' 2025-08-14T21:19:13.0073286Z Entering 'third_party/ideep/mkl-dnn' 2025-08-14T21:19:13.0121351Z Entering 'third_party/ittapi' 2025-08-14T21:19:13.0160804Z Entering 'third_party/kineto' 2025-08-14T21:19:13.0202205Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-14T21:19:13.0241609Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-14T21:19:13.0282660Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-14T21:19:13.0321630Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-14T21:19:13.0360948Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-14T21:19:13.0398305Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-14T21:19:13.0441196Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-14T21:19:13.0481949Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-14T21:19:13.0519104Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-14T21:19:13.0559860Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-08-14T21:19:13.0599141Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-08-14T21:19:13.0640728Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-08-14T21:19:13.0684154Z Entering 'third_party/kleidiai' 2025-08-14T21:19:13.0724935Z Entering 'third_party/mimalloc' 2025-08-14T21:19:13.0763984Z Entering 'third_party/nlohmann' 2025-08-14T21:19:13.0803964Z Entering 'third_party/onnx' 2025-08-14T21:19:13.0856074Z Entering 'third_party/onnx/third_party/pybind11' 2025-08-14T21:19:13.0898382Z Entering 'third_party/opentelemetry-cpp' 2025-08-14T21:19:13.0944603Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-08-14T21:19:13.0981233Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-08-14T21:19:13.1044392Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-08-14T21:19:13.1084182Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-14T21:19:13.1123701Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-14T21:19:13.1164038Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-14T21:19:13.1201968Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-14T21:19:13.1240340Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-08-14T21:19:13.1280109Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-08-14T21:19:13.1323234Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-14T21:19:13.1376547Z Entering 'third_party/pocketfft' 2025-08-14T21:19:13.1418963Z Entering 'third_party/protobuf' 2025-08-14T21:19:13.1458383Z Entering 'third_party/protobuf/third_party/benchmark' 2025-08-14T21:19:13.1496776Z Entering 'third_party/protobuf/third_party/googletest' 2025-08-14T21:19:13.1539863Z Entering 'third_party/psimd' 2025-08-14T21:19:13.1579903Z Entering 'third_party/pthreadpool' 2025-08-14T21:19:13.1623838Z Entering 'third_party/pybind11' 2025-08-14T21:19:13.1661374Z Entering 'third_party/python-peachpy' 2025-08-14T21:19:13.1700382Z Entering 'third_party/sleef' 2025-08-14T21:19:13.1741246Z Entering 'third_party/tensorpipe' 2025-08-14T21:19:13.1778910Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-08-14T21:19:13.1820121Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-08-14T21:19:13.1859739Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-08-14T21:19:13.1898324Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-08-14T21:19:13.1936523Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-14T21:19:13.1993349Z ##[endgroup] 2025-08-14T21:19:13.2037579Z [command]/usr/bin/git log -1 --format=%H 2025-08-14T21:19:13.2066414Z 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:19:13.2230468Z Prepare all required actions 2025-08-14T21:19:13.2230847Z Getting action download info 2025-08-14T21:19:13.3603281Z ##[group]Run ./.github/actions/setup-linux 2025-08-14T21:19:13.3603500Z env: 2025-08-14T21:19:13.3603655Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:19:13.3603821Z ##[endgroup] 2025-08-14T21:19:13.3643156Z ##[group]Run set -euo pipefail 2025-08-14T21:19:13.3643428Z set -euo pipefail 2025-08-14T21:19:13.3643624Z function get_ec2_metadata() { 2025-08-14T21:19:13.3643856Z  # Pulled from instance metadata endpoint for EC2 2025-08-14T21:19:13.3644232Z  # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html 2025-08-14T21:19:13.3644560Z  category=$1 2025-08-14T21:19:13.3644779Z  # If it is GCP runner (runner name contains gcp), do not run this 2025-08-14T21:19:13.3645036Z  runner_name_str=i-0b1f618372e104b9b 2025-08-14T21:19:13.3645290Z  if [[ -f /.inarc ]]; then 2025-08-14T21:19:13.3645501Z  echo "ARC Runner, no info on ec2 metadata" 2025-08-14T21:19:13.3645738Z  elif [[ $runner_name_str == *"gcp"* ]]; then 2025-08-14T21:19:13.3646011Z  echo "Runner is from Google Cloud Platform, No info on ec2 metadata" 2025-08-14T21:19:13.3646248Z  else 2025-08-14T21:19:13.3646736Z  curl -H "X-aws-ec2-metadata-token: $(curl -s -X PUT "http://169.254.169.254/latest/api/token" -H "X-aws-ec2-metadata-token-ttl-seconds: 30")" -fsSL "http://169.254.169.254/latest/meta-data/${category}" 2025-08-14T21:19:13.3647223Z  fi 2025-08-14T21:19:13.3647372Z } 2025-08-14T21:19:13.3647542Z echo "ami-id: $(get_ec2_metadata ami-id)" 2025-08-14T21:19:13.3647794Z echo "instance-id: $(get_ec2_metadata instance-id)" 2025-08-14T21:19:13.3648073Z echo "instance-type: $(get_ec2_metadata instance-type)" 2025-08-14T21:19:13.3648321Z echo "system info $(uname -a)" 2025-08-14T21:19:13.3654330Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:19:13.3654560Z env: 2025-08-14T21:19:13.3654716Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:19:13.3654879Z ##[endgroup] 2025-08-14T21:19:13.3801413Z ami-id: ami-05ffe3c48a9991133 2025-08-14T21:19:13.3900223Z instance-id: i-0b1f618372e104b9b 2025-08-14T21:19:13.3991260Z instance-type: m7i-flex.8xlarge 2025-08-14T21:19:13.4002283Z system info Linux ip-10-0-23-145.ec2.internal 6.1.141-155.222.amzn2023.x86_64 #1 SMP PREEMPT_DYNAMIC Tue Jun 17 10:29:47 UTC 2025 x86_64 x86_64 x86_64 GNU/Linux 2025-08-14T21:19:13.4029747Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-14T21:19:13.4030290Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-14T21:19:13.4035852Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:19:13.4036097Z env: 2025-08-14T21:19:13.4036252Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:19:13.4036429Z ##[endgroup] 2025-08-14T21:19:13.4092014Z ##[group]Run if systemctl is-active --quiet docker; then 2025-08-14T21:19:13.4092310Z if systemctl is-active --quiet docker; then 2025-08-14T21:19:13.4092545Z  echo "Docker daemon is running..."; 2025-08-14T21:19:13.4092855Z else 2025-08-14T21:19:13.4093090Z  echo "Starting docker daemon..." && sudo systemctl start docker; 2025-08-14T21:19:13.4093346Z fi 2025-08-14T21:19:13.4097403Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:19:13.4097631Z env: 2025-08-14T21:19:13.4097795Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:19:13.4097968Z ##[endgroup] 2025-08-14T21:19:13.4177839Z Docker daemon is running... 2025-08-14T21:19:13.4235113Z ##[group]Run nick-fields/retry@v3.0.0 2025-08-14T21:19:13.4235312Z with: 2025-08-14T21:19:13.4235456Z shell: bash 2025-08-14T21:19:13.4235732Z timeout_minutes: 5 2025-08-14T21:19:13.4235891Z max_attempts: 3 2025-08-14T21:19:13.4236042Z retry_wait_seconds: 30 2025-08-14T21:19:13.4237280Z command: AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\") aws ecr get-login-password --region "$AWS_DEFAULT_REGION" | docker login --username AWS \ --password-stdin "$AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com" # For LF Runners we need to make sure we also login to Meta's ECR docker registry too. META_AWS_ACCOUNT_ID=308535385114 if [ "$AWS_ACCOUNT_ID" != "$META_AWS_ACCOUNT_ID" ] ; then aws ecr get-login-password --region "$AWS_DEFAULT_REGION" | docker login --username AWS \ --password-stdin "$META_AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com" fi 2025-08-14T21:19:13.4238489Z polling_interval_seconds: 1 2025-08-14T21:19:13.4238670Z warning_on_retry: true 2025-08-14T21:19:13.4238840Z continue_on_error: false 2025-08-14T21:19:13.4238997Z env: 2025-08-14T21:19:13.4239145Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:19:13.4239317Z AWS_RETRY_MODE: standard 2025-08-14T21:19:13.4239480Z AWS_MAX_ATTEMPTS: 5 2025-08-14T21:19:13.4239651Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:19:13.4239830Z ##[endgroup] 2025-08-14T21:19:14.4028750Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-08-14T21:19:14.4030069Z Configure a credential helper to remove this warning. See 2025-08-14T21:19:14.4030614Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-08-14T21:19:14.4035146Z 2025-08-14T21:19:14.4039393Z Login Succeeded 2025-08-14T21:19:14.5512720Z Command completed after 1 attempt(s). 2025-08-14T21:19:14.5574428Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-14T21:19:14.5574768Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-14T21:19:14.5575042Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-14T21:19:14.5582413Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:19:14.5582653Z env: 2025-08-14T21:19:14.5582809Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:19:14.5582974Z ##[endgroup] 2025-08-14T21:19:14.5661128Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-08-14T21:19:14.5661477Z # ignore expansion of "docker ps -q" since it could be empty 2025-08-14T21:19:14.5661750Z # shellcheck disable=SC2046 2025-08-14T21:19:14.5661962Z docker stop $(docker ps -q) || true 2025-08-14T21:19:14.5662167Z # Prune all of the docker images 2025-08-14T21:19:14.5662372Z docker system prune -af 2025-08-14T21:19:14.5666614Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:19:14.5666838Z env: 2025-08-14T21:19:14.5666990Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:19:14.5667165Z ##[endgroup] 2025-08-14T21:19:14.6115415Z "docker stop" requires at least 1 argument. 2025-08-14T21:19:14.6119807Z See 'docker stop --help'. 2025-08-14T21:19:14.6121313Z 2025-08-14T21:19:14.6121571Z Usage: docker stop [OPTIONS] CONTAINER [CONTAINER...] 2025-08-14T21:19:14.6121760Z 2025-08-14T21:19:14.6121943Z Stop one or more running containers 2025-08-14T21:19:14.6297946Z Total reclaimed space: 0B 2025-08-14T21:19:14.6332601Z ##[group]Run set +e 2025-08-14T21:19:14.6332809Z set +e 2025-08-14T21:19:14.6332969Z set -x 2025-08-14T21:19:14.6333244Z  2025-08-14T21:19:14.6333404Z PT_DOMAIN=download.pytorch.org 2025-08-14T21:19:14.6333753Z # TODO: Flaky access to download.pytorch.org https://github.com/pytorch/pytorch/issues/100400, 2025-08-14T21:19:14.6334171Z # cleaning this up once the issue is fixed. There are more than one resolved IP here, the last 2025-08-14T21:19:14.6334471Z # one is returned at random 2025-08-14T21:19:14.6334711Z RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" | tail -n1) 2025-08-14T21:19:14.6334936Z  2025-08-14T21:19:14.6335198Z if [ -z "${RESOLVED_IP}" ]; then 2025-08-14T21:19:14.6335451Z  echo "Couldn't resolve ${PT_DOMAIN}, retrying with Google DNS..." 2025-08-14T21:19:14.6335751Z  RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" @8.8.8.8 | tail -n1) 2025-08-14T21:19:14.6335976Z  2025-08-14T21:19:14.6336134Z  if [ -z "${RESOLVED_IP}" ]; then 2025-08-14T21:19:14.6336361Z  echo "Couldn't resolve ${PT_DOMAIN}, exiting..." 2025-08-14T21:19:14.6336581Z  exit 1 2025-08-14T21:19:14.6336734Z  fi 2025-08-14T21:19:14.6336872Z fi 2025-08-14T21:19:14.6337011Z  2025-08-14T21:19:14.6337180Z if grep -r "${PT_DOMAIN}" /etc/hosts; then 2025-08-14T21:19:14.6337396Z  # Clean up any old records first 2025-08-14T21:19:14.6337612Z  sudo sed -i "/${PT_DOMAIN}/d" /etc/hosts 2025-08-14T21:19:14.6337810Z fi 2025-08-14T21:19:14.6337949Z  2025-08-14T21:19:14.6338139Z echo "${RESOLVED_IP} ${PT_DOMAIN}" | sudo tee -a /etc/hosts 2025-08-14T21:19:14.6338369Z cat /etc/hosts 2025-08-14T21:19:14.6343072Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:19:14.6343295Z env: 2025-08-14T21:19:14.6343449Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:19:14.6343645Z ##[endgroup] 2025-08-14T21:19:14.6366163Z + PT_DOMAIN=download.pytorch.org 2025-08-14T21:19:14.6372962Z ++ dig -4 +short download.pytorch.org 2025-08-14T21:19:14.6374864Z ++ tail -n1 2025-08-14T21:19:14.6749481Z + RESOLVED_IP=18.160.10.28 2025-08-14T21:19:14.6753349Z + '[' -z 18.160.10.28 ']' 2025-08-14T21:19:14.6756649Z + grep -r download.pytorch.org /etc/hosts 2025-08-14T21:19:14.6769233Z + echo '18.160.10.28 download.pytorch.org' 2025-08-14T21:19:14.6771128Z + sudo tee -a /etc/hosts 2025-08-14T21:19:14.9265414Z 18.160.10.28 download.pytorch.org 2025-08-14T21:19:14.9286105Z + cat /etc/hosts 2025-08-14T21:19:14.9294591Z 127.0.0.1 localhost localhost.localdomain localhost4 localhost4.localdomain4 2025-08-14T21:19:14.9302021Z ::1 localhost6 localhost6.localdomain6 2025-08-14T21:19:14.9302329Z 18.160.10.28 download.pytorch.org 2025-08-14T21:19:14.9404118Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main 2025-08-14T21:19:14.9404408Z with: 2025-08-14T21:19:14.9404907Z docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:19:14.9405485Z use-custom-docker-registry: true 2025-08-14T21:19:14.9405698Z docker-build-dir: .ci/docker 2025-08-14T21:19:14.9405891Z docker-build-script: ./build.sh 2025-08-14T21:19:14.9406263Z working-directory: . 2025-08-14T21:19:14.9406502Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:19:14.9406746Z force-push: false 2025-08-14T21:19:14.9406896Z env: 2025-08-14T21:19:14.9407048Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:19:14.9407222Z ##[endgroup] 2025-08-14T21:19:14.9424717Z ##[group]Run set -ex 2025-08-14T21:19:14.9424935Z set -ex 2025-08-14T21:19:14.9425090Z  2025-08-14T21:19:14.9425372Z # If the docker build directory or the build script doesn't exist, the action will 2025-08-14T21:19:14.9425743Z # gracefully return the docker image name as it is. Pulling docker image in Linux 2025-08-14T21:19:14.9426059Z # job could then download the pre-built image as usual 2025-08-14T21:19:14.9426548Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then 2025-08-14T21:19:14.9426907Z  echo "skip=false" >> "${GITHUB_OUTPUT}" 2025-08-14T21:19:14.9427103Z else 2025-08-14T21:19:14.9427275Z  echo "skip=true" >> "${GITHUB_OUTPUT}" 2025-08-14T21:19:14.9427540Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:19:14.9427776Z  2025-08-14T21:19:14.9428090Z  echo "Not using custom ECR registry. Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..." 2025-08-14T21:19:14.9428438Z  exit 0 2025-08-14T21:19:14.9428588Z fi 2025-08-14T21:19:14.9428726Z  2025-08-14T21:19:14.9428940Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then 2025-08-14T21:19:14.9429280Z  # The docker image name already includes the ECR prefix and tag, so we can just 2025-08-14T21:19:14.9429592Z  # use it as it is, but first let's extract the tag 2025-08-14T21:19:14.9429867Z  DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}') 2025-08-14T21:19:14.9430165Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:19:14.9430446Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:19:14.9430680Z else 2025-08-14T21:19:14.9430844Z  if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then 2025-08-14T21:19:14.9431077Z  CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:} 2025-08-14T21:19:14.9431314Z  DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*} 2025-08-14T21:19:14.9431510Z  fi 2025-08-14T21:19:14.9431779Z  DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}") 2025-08-14T21:19:14.9432121Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:19:14.9432476Z  echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:19:14.9432857Z  echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:19:14.9433105Z fi 2025-08-14T21:19:14.9438615Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:19:14.9438850Z env: 2025-08-14T21:19:14.9439013Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:19:14.9439186Z REPO_NAME: pytorch 2025-08-14T21:19:14.9439819Z DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:19:14.9440339Z DOCKER_BUILD_DIR: .ci/docker 2025-08-14T21:19:14.9440532Z DOCKER_BUILD_SCRIPT: ./build.sh 2025-08-14T21:19:14.9440772Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:19:14.9441024Z USE_CUSTOM_DOCKER_REGISTRY: true 2025-08-14T21:19:14.9441214Z CUSTOM_TAG_PREFIX: 2025-08-14T21:19:14.9441373Z ##[endgroup] 2025-08-14T21:19:14.9466064Z + [[ -d .ci/docker ]] 2025-08-14T21:19:14.9470651Z + [[ -f .ci/docker/./build.sh ]] 2025-08-14T21:19:14.9474485Z + [[ true == \t\r\u\e ]] 2025-08-14T21:19:14.9478274Z + echo skip=false 2025-08-14T21:19:14.9482017Z + [[ 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe == *\3\0\8\5\3\5\3\8\5\1\1\4\.\d\k\r\.\e\c\r\.\u\s\-\e\a\s\t\-\1\.\a\m\a\z\o\n\a\w\s\.\c\o\m\/\p\y\t\o\r\c\h* ]] 2025-08-14T21:19:14.9483351Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:19:14.9483937Z ++ awk -F '[:,]' '{print $2}' 2025-08-14T21:19:14.9494475Z + DOCKER_TAG=pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:19:14.9495228Z + echo docker-tag=pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:19:14.9495967Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:19:14.9523732Z ##[group]Run set +e 2025-08-14T21:19:14.9523949Z set +e 2025-08-14T21:19:14.9524110Z set -x 2025-08-14T21:19:14.9524260Z  2025-08-14T21:19:14.9524397Z login() { 2025-08-14T21:19:14.9524696Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-08-14T21:19:14.9525008Z } 2025-08-14T21:19:14.9525145Z  2025-08-14T21:19:14.9525286Z retry () { 2025-08-14T21:19:14.9525468Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-08-14T21:19:14.9525657Z } 2025-08-14T21:19:14.9525815Z  2025-08-14T21:19:14.9525975Z retry login "${DOCKER_REGISTRY}" 2025-08-14T21:19:14.9526169Z  2025-08-14T21:19:14.9526315Z START_TIME=$(date +%s) 2025-08-14T21:19:14.9526506Z # Wait up to 120 minutes 2025-08-14T21:19:14.9526727Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do 2025-08-14T21:19:14.9527009Z  # Check if image already exists, if it does then skip building it 2025-08-14T21:19:14.9527293Z  if docker manifest inspect "${DOCKER_IMAGE}"; then 2025-08-14T21:19:14.9527508Z  exit 0 2025-08-14T21:19:14.9527653Z  fi 2025-08-14T21:19:14.9527796Z  2025-08-14T21:19:14.9528024Z  # NB: This flag is used by Docker build workflow to push the image to ECR, so we can 2025-08-14T21:19:14.9528386Z  # use this to differentiate between the Docker build and regular build jobs. For the 2025-08-14T21:19:14.9528747Z  # latter, it will wait for the Docker images to become available before continuing 2025-08-14T21:19:14.9529052Z  if [ "${DOCKER_PUSH:-false}" == "true" ]; then 2025-08-14T21:19:14.9529293Z  # It's a Docker build job, let's build the image 2025-08-14T21:19:14.9529493Z  break 2025-08-14T21:19:14.9529647Z  else 2025-08-14T21:19:14.9529855Z  # It's a regular build job, wait for the image to become available 2025-08-14T21:19:14.9530085Z  sleep 300 2025-08-14T21:19:14.9530245Z  fi 2025-08-14T21:19:14.9530386Z done 2025-08-14T21:19:14.9530522Z  2025-08-14T21:19:14.9530729Z # NB: This part requires a full checkout. Otherwise, the merge base will 2025-08-14T21:19:14.9531138Z # be empty. The default action would be to continue rebuild the image 2025-08-14T21:19:14.9531433Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then 2025-08-14T21:19:14.9531690Z  # if we're on the base branch then use the parent commit 2025-08-14T21:19:14.9531932Z  MERGE_BASE=$(git rev-parse HEAD~) 2025-08-14T21:19:14.9532123Z else 2025-08-14T21:19:14.9532326Z  # otherwise we're on a PR, so use the most recent base commit 2025-08-14T21:19:14.9532595Z  MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION") 2025-08-14T21:19:14.9532809Z fi 2025-08-14T21:19:14.9532950Z  2025-08-14T21:19:14.9533096Z if [[ -z "${MERGE_BASE}" ]]; then 2025-08-14T21:19:14.9533314Z  echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-08-14T21:19:14.9533519Z  2025-08-14T21:19:14.9533784Z  echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..." 2025-08-14T21:19:14.9534087Z  exit 0 2025-08-14T21:19:14.9534233Z fi 2025-08-14T21:19:14.9534370Z  2025-08-14T21:19:14.9534556Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then 2025-08-14T21:19:14.9534934Z  echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit" 2025-08-14T21:19:14.9535327Z  exit 1 2025-08-14T21:19:14.9535468Z fi 2025-08-14T21:19:14.9535608Z  2025-08-14T21:19:14.9535828Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}") 2025-08-14T21:19:14.9536192Z # If no image exists but the hash is the same as the previous hash then we should error out here 2025-08-14T21:19:14.9536512Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then 2025-08-14T21:19:14.9536894Z  echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch" 2025-08-14T21:19:14.9537316Z  echo " Will re-build docker image to store in local cache, TTS may be longer" 2025-08-14T21:19:14.9537584Z fi 2025-08-14T21:19:14.9537719Z  2025-08-14T21:19:14.9537893Z echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-08-14T21:19:14.9541998Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:19:14.9542220Z env: 2025-08-14T21:19:14.9542374Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:19:14.9542555Z DOCKER_BUILD_DIR: .ci/docker 2025-08-14T21:19:14.9542768Z BASE_REVISION: 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:19:14.9543327Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:19:14.9544005Z DOCKER_TAG: pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:19:14.9544430Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:19:14.9544659Z DOCKER_PUSH: 2025-08-14T21:19:14.9544817Z ##[endgroup] 2025-08-14T21:19:14.9566184Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:19:14.9568078Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:19:14.9568508Z + aws ecr get-login-password --region us-east-1 2025-08-14T21:19:14.9572024Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:19:15.3668006Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-08-14T21:19:15.3668604Z Login Succeeded 2025-08-14T21:19:15.3668836Z Configure a credential helper to remove this warning. See 2025-08-14T21:19:15.3669184Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-08-14T21:19:15.3669411Z 2025-08-14T21:19:15.3689725Z ++ date +%s 2025-08-14T21:19:15.3701077Z + START_TIME=1755206355 2025-08-14T21:19:15.3705746Z ++ date +%s 2025-08-14T21:19:15.3716759Z + [[ 1755199155 -lt 1755206355 ]] 2025-08-14T21:19:15.3718522Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:19:15.6424873Z { 2025-08-14T21:19:15.6428651Z "schemaVersion": 2, 2025-08-14T21:19:15.6430432Z "mediaType": "application/vnd.docker.distribution.manifest.v2+json", 2025-08-14T21:19:15.6430732Z "config": { 2025-08-14T21:19:15.6430960Z "mediaType": "application/vnd.docker.container.image.v1+json", 2025-08-14T21:19:15.6431200Z "size": 30151, 2025-08-14T21:19:15.6431462Z "digest": 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"sha256:5b092eb06909a2ea8906849acac588a10864da349670d65c0bfea342187edba2" 2025-08-14T21:19:15.6481511Z }, 2025-08-14T21:19:15.6481636Z { 2025-08-14T21:19:15.6481834Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:19:15.6482077Z "size": 129, 2025-08-14T21:19:15.6482301Z "digest": "sha256:bc596103109216e154006085503386753b0b114b5900bf44758cdff324df5504" 2025-08-14T21:19:15.6482560Z }, 2025-08-14T21:19:15.6482687Z { 2025-08-14T21:19:15.6482879Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:19:15.6483117Z "size": 776, 2025-08-14T21:19:15.6483361Z "digest": "sha256:0531cc34c12ab9127f1858c4cf365bb3a02bc31e8d6df5eabba2e1b6ef026ccf" 2025-08-14T21:19:15.6483622Z }, 2025-08-14T21:19:15.6483749Z { 2025-08-14T21:19:15.6483944Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:19:15.6484210Z "size": 724, 2025-08-14T21:19:15.6484453Z "digest": "sha256:fc6b37d40530f2c5339430321eab67ae1e2e87e997587c7bc8c41504464208f9" 2025-08-14T21:19:15.6484718Z }, 2025-08-14T21:19:15.6484834Z { 2025-08-14T21:19:15.6485028Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:19:15.6485270Z "size": 141, 2025-08-14T21:19:15.6485508Z "digest": "sha256:38c303d3b62eb463762816db04062a480014a6f3c9754386f3e83ba331ab4d1d" 2025-08-14T21:19:15.6485762Z }, 2025-08-14T21:19:15.6485888Z { 2025-08-14T21:19:15.6486084Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:19:15.6486316Z "size": 32, 2025-08-14T21:19:15.6486558Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-08-14T21:19:15.6486827Z }, 2025-08-14T21:19:15.6486946Z { 2025-08-14T21:19:15.6487141Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:19:15.6487380Z "size": 160, 2025-08-14T21:19:15.6487621Z "digest": "sha256:e06d15594a2a76995baebbce7032946ff9f94e281246fbc3f8ab19d8bcc38b81" 2025-08-14T21:19:15.6487891Z }, 2025-08-14T21:19:15.6488017Z { 2025-08-14T21:19:15.6488207Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:19:15.6488449Z "size": 1010, 2025-08-14T21:19:15.6488744Z "digest": "sha256:0e55deb5cb38fd36b600183f7d86eaca0dabc04d2ff4d49ec2266ee3329edc4a" 2025-08-14T21:19:15.6489025Z }, 2025-08-14T21:19:15.6489144Z { 2025-08-14T21:19:15.6489342Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:19:15.6489583Z "size": 724, 2025-08-14T21:19:15.6489817Z "digest": "sha256:fc6b37d40530f2c5339430321eab67ae1e2e87e997587c7bc8c41504464208f9" 2025-08-14T21:19:15.6490082Z }, 2025-08-14T21:19:15.6490209Z { 2025-08-14T21:19:15.6490401Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:19:15.6490642Z "size": 134, 2025-08-14T21:19:15.6490893Z "digest": "sha256:4a53d66dce071bb7416414aa1adbc3e4a59003300c0d42038612fabdeb5a1b01" 2025-08-14T21:19:15.6491159Z }, 2025-08-14T21:19:15.6491287Z { 2025-08-14T21:19:15.6491487Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:19:15.6491727Z "size": 32, 2025-08-14T21:19:15.6491967Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-08-14T21:19:15.6492240Z }, 2025-08-14T21:19:15.6492367Z { 2025-08-14T21:19:15.6492559Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:19:15.6492797Z "size": 159, 2025-08-14T21:19:15.6493040Z "digest": "sha256:1519daa051b8b80e04125f2f2215dc412dcdbb9502711925e97aeccbda069eaf" 2025-08-14T21:19:15.6493300Z }, 2025-08-14T21:19:15.6493428Z { 2025-08-14T21:19:15.6493626Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:19:15.6493864Z "size": 1371, 2025-08-14T21:19:15.6494116Z "digest": "sha256:381ed91d2119f078fbba19102a65befc4cb242f8cf47a11fb6f76ea424690692" 2025-08-14T21:19:15.6494391Z }, 2025-08-14T21:19:15.6494511Z { 2025-08-14T21:19:15.6494710Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:19:15.6494947Z "size": 32, 2025-08-14T21:19:15.6495191Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-08-14T21:19:15.6495457Z }, 2025-08-14T21:19:15.6495582Z { 2025-08-14T21:19:15.6495780Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:19:15.6496019Z "size": 137, 2025-08-14T21:19:15.6496263Z "digest": "sha256:c6b0a01a96dd479640297d4b012031ffc1bd9fc0daf61d86058f9b675c0a0705" 2025-08-14T21:19:15.6496533Z }, 2025-08-14T21:19:15.6496655Z { 2025-08-14T21:19:15.6496854Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:19:15.6497100Z "size": 380, 2025-08-14T21:19:15.6497342Z "digest": "sha256:62df6413daeefebde04dcc401134734952e4ea37fc85ff23c89cb9b4fbd45155" 2025-08-14T21:19:15.6497617Z }, 2025-08-14T21:19:15.6497746Z { 2025-08-14T21:19:15.6497985Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:19:15.6498230Z "size": 32, 2025-08-14T21:19:15.6498473Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-08-14T21:19:15.6498739Z }, 2025-08-14T21:19:15.6498860Z { 2025-08-14T21:19:15.6499060Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:19:15.6499300Z "size": 104, 2025-08-14T21:19:15.6499544Z "digest": "sha256:7a18bc2a6881b76a6f591c98dafb47e44d903f7a905f7eba0fc3aedb5c90fff7" 2025-08-14T21:19:15.6499915Z }, 2025-08-14T21:19:15.6500057Z { 2025-08-14T21:19:15.6500262Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:19:15.6500513Z "size": 407, 2025-08-14T21:19:15.6500770Z "digest": "sha256:93359cd58a8cece344fd4291b27647e57761c9399bb54bb0c18149c12af5f66a" 2025-08-14T21:19:15.6501043Z }, 2025-08-14T21:19:15.6501172Z { 2025-08-14T21:19:15.6501382Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:19:15.6501636Z "size": 32, 2025-08-14T21:19:15.6501886Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-08-14T21:19:15.6502168Z }, 2025-08-14T21:19:15.6502295Z { 2025-08-14T21:19:15.6502534Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:19:15.6502779Z "size": 109, 2025-08-14T21:19:15.6503033Z "digest": "sha256:c35ba0a1f353d6894c914a4bfbea9a2c9b8ac1b526af64d34cbe9a12bd83c78e" 2025-08-14T21:19:15.6503308Z }, 2025-08-14T21:19:15.6503439Z { 2025-08-14T21:19:15.6503647Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:19:15.6503883Z "size": 1896, 2025-08-14T21:19:15.6504138Z "digest": "sha256:dcf1e01c98d6a6f72674d79a4e8e4047b54796576cd06ad682c225a92820a8f5" 2025-08-14T21:19:15.6504449Z + exit 0 2025-08-14T21:19:15.6504583Z }, 2025-08-14T21:19:15.6504705Z { 2025-08-14T21:19:15.6504908Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:19:15.6505151Z "size": 242635753, 2025-08-14T21:19:15.6505410Z "digest": "sha256:bad0564f61fdf377e3ae31f6fec0ec28b6922da0b9db28408b55b8e97ff1ea51" 2025-08-14T21:19:15.6505689Z }, 2025-08-14T21:19:15.6505820Z { 2025-08-14T21:19:15.6506016Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:19:15.6506445Z "size": 106, 2025-08-14T21:19:15.6506709Z "digest": "sha256:539ded9057364aade7abe23ab908d2caf53966a186734aa58ae84a56bee659eb" 2025-08-14T21:19:15.6506990Z }, 2025-08-14T21:19:15.6507113Z { 2025-08-14T21:19:15.6507322Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:19:15.6507569Z "size": 163, 2025-08-14T21:19:15.6507805Z "digest": "sha256:28d482062637d32514edfc447913e98745d7c13d2f277531e64ffcf090ae6d92" 2025-08-14T21:19:15.6508073Z }, 2025-08-14T21:19:15.6508206Z { 2025-08-14T21:19:15.6508408Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:19:15.6508655Z "size": 7943, 2025-08-14T21:19:15.6508908Z "digest": "sha256:3245316ff51b50b27da4ef7279733c92f76cc652b3fce3877c0e3d510430e8b3" 2025-08-14T21:19:15.6509174Z }, 2025-08-14T21:19:15.6509303Z { 2025-08-14T21:19:15.6509509Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:19:15.6509753Z "size": 8073, 2025-08-14T21:19:15.6510012Z "digest": "sha256:b53167d1a6df0e4b67d637d073150dff1fb87a823864c0c98d77c15e56babc24" 2025-08-14T21:19:15.6510288Z }, 2025-08-14T21:19:15.6510418Z { 2025-08-14T21:19:15.6510614Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:19:15.6510861Z "size": 303, 2025-08-14T21:19:15.6511107Z "digest": "sha256:7f5277f691672469f431fd90a8c2bb702c6c68333f6be2cff868f00e416c5a1a" 2025-08-14T21:19:15.6511370Z }, 2025-08-14T21:19:15.6511500Z { 2025-08-14T21:19:15.6511705Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:19:15.6512029Z "size": 32, 2025-08-14T21:19:15.6512288Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-08-14T21:19:15.6512572Z }, 2025-08-14T21:19:15.6512696Z { 2025-08-14T21:19:15.6512901Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:19:15.6513154Z "size": 108, 2025-08-14T21:19:15.6513411Z "digest": "sha256:23dff10cdaa5b1e9c7250f0c58a6279f104b35408281e951bfe9983f97e3d9ed" 2025-08-14T21:19:15.6513684Z }, 2025-08-14T21:19:15.6513823Z { 2025-08-14T21:19:15.6514022Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:19:15.6514257Z "size": 54145699, 2025-08-14T21:19:15.6514520Z "digest": "sha256:9fb73296da6ac15f37f36663bd10afc98abb8a01fb40bff4848de7247d28e018" 2025-08-14T21:19:15.6514790Z }, 2025-08-14T21:19:15.6514908Z { 2025-08-14T21:19:15.6515103Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:19:15.6515337Z "size": 32, 2025-08-14T21:19:15.6515578Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-08-14T21:19:15.6515848Z } 2025-08-14T21:19:15.6515974Z ] 2025-08-14T21:19:15.6516096Z } 2025-08-14T21:19:15.6543058Z ##[group]Run set -eux 2025-08-14T21:19:15.6543258Z set -eux 2025-08-14T21:19:15.6543862Z 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 2025-08-14T21:19:15.6550486Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:19:15.6550710Z env: 2025-08-14T21:19:15.6550865Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:19:15.6551036Z ##[endgroup] 2025-08-14T21:19:15.6580209Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token 2025-08-14T21:19:15.6585581Z + jq --raw-output .SecretString 2025-08-14T21:19:15.6587482Z + jq -r .docker_hub_readonly_token 2025-08-14T21:19:15.6590566Z + docker login --username pytorchbot --password-stdin 2025-08-14T21:19:16.1194545Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-08-14T21:19:16.1196238Z Login Succeeded 2025-08-14T21:19:16.1196543Z Configure a credential helper to remove this warning. See 2025-08-14T21:19:16.1196957Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-08-14T21:19:16.1197193Z 2025-08-14T21:19:16.1274917Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:} 2025-08-14T21:19:16.1275170Z tag=${ECR_DOCKER_IMAGE##*:} 2025-08-14T21:19:16.1275426Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}" 2025-08-14T21:19:16.1280031Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:19:16.1280261Z env: 2025-08-14T21:19:16.1280420Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:19:16.1280938Z ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:19:16.1281446Z ##[endgroup] 2025-08-14T21:19:16.1305837Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:19:16.1359743Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main 2025-08-14T21:19:16.1360014Z with: 2025-08-14T21:19:16.1360490Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:19:16.1361046Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:19:16.1361283Z env: 2025-08-14T21:19:16.1361430Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:19:16.1361596Z ##[endgroup] 2025-08-14T21:19:16.1378279Z ##[group]Run set -x 2025-08-14T21:19:16.1378472Z set -x 2025-08-14T21:19:16.1378623Z set +e 2025-08-14T21:19:16.1378767Z  2025-08-14T21:19:16.1378902Z login() { 2025-08-14T21:19:16.1379193Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-08-14T21:19:16.1379492Z } 2025-08-14T21:19:16.1379732Z  2025-08-14T21:19:16.1379920Z retry () { 2025-08-14T21:19:16.1380096Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-08-14T21:19:16.1380302Z } 2025-08-14T21:19:16.1380441Z  2025-08-14T21:19:16.1380593Z retry login "${DOCKER_REGISTRY}" 2025-08-14T21:19:16.1380774Z  2025-08-14T21:19:16.1381058Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024') 2025-08-14T21:19:16.1381430Z echo "Compressed size of image in MB: ${IMAGE_SIZE}" 2025-08-14T21:19:16.1381645Z  2025-08-14T21:19:16.1381780Z set -e 2025-08-14T21:19:16.1381993Z # ignore output since only exit code is used for conditional 2025-08-14T21:19:16.1382273Z # only pull docker image if it's not available locally 2025-08-14T21:19:16.1382579Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then 2025-08-14T21:19:16.1382873Z  retry docker pull "${DOCKER_IMAGE}" 2025-08-14T21:19:16.1383066Z fi 2025-08-14T21:19:16.1386848Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:19:16.1387074Z env: 2025-08-14T21:19:16.1387226Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:19:16.1387725Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:19:16.1388281Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:19:16.1388517Z ##[endgroup] 2025-08-14T21:19:16.1410049Z + set +e 2025-08-14T21:19:16.1415102Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:19:16.1415454Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:19:16.1415820Z + aws ecr get-login-password --region us-east-1 2025-08-14T21:19:16.1416144Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:19:16.5510789Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-08-14T21:19:16.5511370Z Login Succeeded 2025-08-14T21:19:16.5511649Z Configure a credential helper to remove this warning. See 2025-08-14T21:19:16.5512009Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-08-14T21:19:16.5512228Z 2025-08-14T21:19:16.5540107Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024' 2025-08-14T21:19:16.5543241Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:19:16.7897788Z + IMAGE_SIZE=27663.483686447144 2025-08-14T21:19:16.7898351Z + echo 'Compressed size of image in MB: 27663.483686447144' 2025-08-14T21:19:16.7898621Z Compressed size of image in MB: 27663.483686447144 2025-08-14T21:19:16.7898855Z + set -e 2025-08-14T21:19:16.7899910Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:19:16.8052720Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:19:16.8054245Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:19:17.0653305Z pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe: Pulling from pytorch/ci-image 2025-08-14T21:19:17.0654859Z 660ffc76f83b: Pulling fs layer 2025-08-14T21:19:17.0655086Z c7b4a852a455: Pulling fs layer 2025-08-14T21:19:17.0655419Z e5a28988c893: Pulling fs layer 2025-08-14T21:19:17.0655629Z 76a69b57b683: Pulling fs layer 2025-08-14T21:19:17.0655815Z 5c785dcb4cdb: Pulling fs layer 2025-08-14T21:19:17.0656123Z 836ab08052e8: Pulling fs layer 2025-08-14T21:19:17.0656346Z 53b11c77468c: Pulling fs layer 2025-08-14T21:19:17.0656640Z e97311a6a967: Pulling fs layer 2025-08-14T21:19:17.0661725Z 2c414689d31d: Pulling fs layer 2025-08-14T21:19:17.0663700Z 6d89b5f065d5: Pulling fs layer 2025-08-14T21:19:17.0664127Z 5a5cc76ada43: Pulling fs layer 2025-08-14T21:19:17.0667955Z fc6b37d40530: Pulling fs layer 2025-08-14T21:19:17.0670008Z 2e1657907860: Pulling fs layer 2025-08-14T21:19:17.0670382Z 7b92d7a4b8c7: Pulling fs layer 2025-08-14T21:19:17.0674904Z 4f4fb700ef54: Pulling fs layer 2025-08-14T21:19:17.0679325Z d6226eb61f82: Pulling fs layer 2025-08-14T21:19:17.0681277Z 83c70f4266a6: Pulling fs layer 2025-08-14T21:19:17.0681615Z 60c725d21861: Pulling fs layer 2025-08-14T21:19:17.0686578Z a504e76e66a4: Pulling fs layer 2025-08-14T21:19:17.0688781Z fc1c200a4f77: Pulling fs layer 2025-08-14T21:19:17.0694054Z 43273c22704f: Pulling fs layer 2025-08-14T21:19:17.0696653Z 89df389d042a: Pulling fs layer 2025-08-14T21:19:17.0697002Z 684349f50d94: Pulling fs layer 2025-08-14T21:19:17.0697250Z 21d0eae87fb3: Pulling fs layer 2025-08-14T21:19:17.0697501Z 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3245316ff51b: Pull complete 2025-08-14T21:28:36.6094695Z b53167d1a6df: Pull complete 2025-08-14T21:28:37.0036501Z 7f5277f69167: Pull complete 2025-08-14T21:28:37.9563566Z 23dff10cdaa5: Pull complete 2025-08-14T21:28:40.4541452Z 9fb73296da6a: Pull complete 2025-08-14T21:28:41.1767845Z Digest: sha256:4236794baba289041d240d08fd393bbd57497c3012e5e0ccd9fd98f61ebf35c6 2025-08-14T21:28:41.2500494Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:28:41.2798565Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:28:41.2853073Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-14T21:28:41.2853605Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-14T21:28:41.2862003Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:28:41.2862241Z env: 2025-08-14T21:28:41.2862408Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:28:41.2862589Z ##[endgroup] 2025-08-14T21:28:41.2933189Z Prepare all required actions 2025-08-14T21:28:41.2985071Z ##[group]Run ./.github/actions/get-workflow-job-id 2025-08-14T21:28:41.2985290Z with: 2025-08-14T21:28:41.2985813Z github-token: *** 2025-08-14T21:28:41.2985963Z env: 2025-08-14T21:28:41.2986113Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:28:41.2986295Z ##[endgroup] 2025-08-14T21:28:41.3216886Z ##[group]Run set -eux 2025-08-14T21:28:41.3217079Z set -eux 2025-08-14T21:28:41.3217346Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-08-14T21:28:41.3221605Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:28:41.3221843Z env: 2025-08-14T21:28:41.3222000Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:28:41.3222337Z GITHUB_TOKEN: *** 2025-08-14T21:28:41.3222492Z ##[endgroup] 2025-08-14T21:28:41.3245301Z + python3 .github/scripts/get_workflow_job_id.py 16976255153 i-0b1f618372e104b9b 2025-08-14T21:28:42.4363790Z Setting output job-id=48128039099 2025-08-14T21:28:42.4366938Z Setting output job-name=linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx) 2025-08-14T21:28:42.4483818Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-08-14T21:28:42.4484242Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-08-14T21:28:42.4484784Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 & 2025-08-14T21:28:42.4485249Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:28:42.4490604Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:28:42.4490832Z env: 2025-08-14T21:28:42.4490986Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:28:42.4491157Z JOB_ID: 48128039099 2025-08-14T21:28:42.4491471Z JOB_NAME: linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx) 2025-08-14T21:28:42.4491803Z WORKFLOW_NAME: inductor 2025-08-14T21:28:42.4491973Z WORKFLOW_RUN_ID: 16976255153 2025-08-14T21:28:42.4492182Z MONITOR_LOG_INTERVAL: 5 2025-08-14T21:28:42.4492354Z MONITOR_DATA_COLLECT_INTERVAL: 1 2025-08-14T21:28:42.4492542Z ##[endgroup] 2025-08-14T21:28:42.6656361Z Defaulting to user installation because normal site-packages is not writeable 2025-08-14T21:28:42.9079790Z Collecting psutil==5.9.8 2025-08-14T21:28:42.9228601Z Downloading psutil-5.9.8-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (288 kB) 2025-08-14T21:28:42.9769224Z Collecting dataclasses_json==0.6.7 2025-08-14T21:28:42.9795940Z Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB) 2025-08-14T21:28:43.0016954Z Collecting nvidia-ml-py==11.525.84 2025-08-14T21:28:43.0048736Z Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB) 2025-08-14T21:28:43.0877159Z Collecting marshmallow<4.0.0,>=3.18.0 2025-08-14T21:28:43.0909144Z Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB) 2025-08-14T21:28:43.1117037Z Collecting typing-inspect<1,>=0.4.0 2025-08-14T21:28:43.1149913Z Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB) 2025-08-14T21:28:43.1560783Z Collecting packaging>=17.0 2025-08-14T21:28:43.1590566Z Downloading packaging-25.0-py3-none-any.whl (66 kB) 2025-08-14T21:28:43.1789376Z Collecting mypy-extensions>=0.3.0 2025-08-14T21:28:43.1820932Z Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB) 2025-08-14T21:28:43.2158889Z Collecting typing-extensions>=3.7.4 2025-08-14T21:28:43.2194341Z Downloading typing_extensions-4.14.1-py3-none-any.whl (43 kB) 2025-08-14T21:28:43.2918329Z Installing collected packages: typing-extensions, packaging, mypy-extensions, typing-inspect, marshmallow, psutil, nvidia-ml-py, dataclasses-json 2025-08-14T21:28:43.5193856Z 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-4.14.1 typing-inspect-0.9.0 2025-08-14T21:28:43.6717389Z Prepare all required actions 2025-08-14T21:28:43.6717675Z Getting action download info 2025-08-14T21:28:43.8414830Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-08-14T21:28:44.1084879Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093) 2025-08-14T21:28:44.4066749Z ##[group]Run ./.github/actions/download-build-artifacts 2025-08-14T21:28:44.4066985Z with: 2025-08-14T21:28:44.4067150Z name: linux-jammy-py3.9-gcc11-build 2025-08-14T21:28:44.4067347Z s3-bucket: gha-artifacts 2025-08-14T21:28:44.4067519Z env: 2025-08-14T21:28:44.4067664Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:28:44.4067823Z ##[endgroup] 2025-08-14T21:28:44.4090897Z ##[group]Run seemethere/download-artifact-s3@v4 2025-08-14T21:28:44.4091119Z with: 2025-08-14T21:28:44.4091293Z name: linux-jammy-py3.9-gcc11-build 2025-08-14T21:28:44.4091506Z s3-bucket: gha-artifacts 2025-08-14T21:28:44.4091717Z region: us-east-1 2025-08-14T21:28:44.4091867Z env: 2025-08-14T21:28:44.4092015Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:28:44.4092190Z ##[endgroup] 2025-08-14T21:28:44.7506044Z (node:47877) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-08-14T21:28:44.7507531Z 2025-08-14T21:28:44.7507687Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-08-14T21:28:44.7508178Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-08-14T21:28:44.7508671Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-08-14T21:28:44.9847476Z Found 1 objects with prefix pytorch/pytorch/16976255153/linux-jammy-py3.9-gcc11-build/ 2025-08-14T21:28:44.9851855Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-08-14T21:28:52.2052884Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-08-14T21:28:52.2053458Z Artifact download has finished successfully 2025-08-14T21:28:52.2254114Z ##[group]Run unzip -o artifacts.zip 2025-08-14T21:28:52.2254341Z unzip -o artifacts.zip 2025-08-14T21:28:52.2259605Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:28:52.2260010Z env: 2025-08-14T21:28:52.2260214Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:28:52.2260411Z ##[endgroup] 2025-08-14T21:28:52.2326248Z Archive: artifacts.zip 2025-08-14T21:28:52.2326514Z creating: dist/ 2025-08-14T21:28:53.2454627Z inflating: dist/torch-2.9.0a0+git1fc683c-cp39-cp39-linux_x86_64.whl 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artifacts.zip 2025-08-14T21:28:58.6439738Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:28:58.6439966Z env: 2025-08-14T21:28:58.6440119Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:28:58.6440291Z ##[endgroup] 2025-08-14T21:28:58.6725679Z ##[group]Run df -H 2025-08-14T21:28:58.6725868Z df -H 2025-08-14T21:28:58.6730340Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:28:58.6730560Z env: 2025-08-14T21:28:58.6730732Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:28:58.6730907Z ##[endgroup] 2025-08-14T21:28:58.6769842Z Filesystem Size Used Avail Use% Mounted on 2025-08-14T21:28:58.6772010Z devtmpfs 4.2M 0 4.2M 0% /dev 2025-08-14T21:28:58.6772403Z tmpfs 67G 0 67G 0% /dev/shm 2025-08-14T21:28:58.6773086Z tmpfs 27G 791k 27G 1% /run 2025-08-14T21:28:58.6777223Z /dev/nvme0n1p1 215G 69G 147G 32% / 2025-08-14T21:28:58.6777677Z tmpfs 67G 13k 67G 1% /tmp 2025-08-14T21:28:58.6778062Z /dev/nvme0n1p128 11M 1.4M 9.2M 13% /boot/efi 2025-08-14T21:28:58.6799268Z Prepare all required actions 2025-08-14T21:28:58.6799985Z Getting action download info 2025-08-14T21:28:58.8328373Z ##[group]Run ./.github/actions/download-td-artifacts 2025-08-14T21:28:58.8328597Z with: 2025-08-14T21:28:58.8328740Z env: 2025-08-14T21:28:58.8328891Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:28:58.8329056Z ##[endgroup] 2025-08-14T21:28:58.8360593Z ##[group]Run seemethere/download-artifact-s3@v4 2025-08-14T21:28:58.8360808Z with: 2025-08-14T21:28:58.8360957Z name: td_results 2025-08-14T21:28:58.8361123Z s3-bucket: gha-artifacts 2025-08-14T21:28:58.8361290Z region: us-east-1 2025-08-14T21:28:58.8361441Z env: 2025-08-14T21:28:58.8361584Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:28:58.8361758Z ##[endgroup] 2025-08-14T21:28:59.1685022Z (node:47897) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-08-14T21:28:59.1686918Z 2025-08-14T21:28:59.1687428Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-08-14T21:28:59.1687897Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-08-14T21:28:59.1692536Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-08-14T21:28:59.2514812Z Found 0 objects with prefix pytorch/pytorch/16976255153/td_results/ 2025-08-14T21:28:59.2522392Z Artifact download has finished successfully 2025-08-14T21:28:59.2724031Z ##[group]Run mkdir -p .additional_ci_files 2025-08-14T21:28:59.2724292Z mkdir -p .additional_ci_files 2025-08-14T21:28:59.2724557Z mv td_results.json .additional_ci_files/td_results.json || true 2025-08-14T21:28:59.2729646Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:28:59.2729875Z env: 2025-08-14T21:28:59.2730047Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:28:59.2730212Z ##[endgroup] 2025-08-14T21:28:59.2775595Z mv: cannot stat 'td_results.json': No such file or directory 2025-08-14T21:28:59.2842652Z ##[group]Run .github/scripts/parse_ref.py 2025-08-14T21:28:59.2842900Z .github/scripts/parse_ref.py 2025-08-14T21:28:59.2846763Z shell: /usr/bin/bash -e {0} 2025-08-14T21:28:59.2846939Z env: 2025-08-14T21:28:59.2847091Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:28:59.2847259Z ##[endgroup] 2025-08-14T21:28:59.3024270Z Setting output branch=main 2025-08-14T21:28:59.3107450Z Prepare all required actions 2025-08-14T21:28:59.3107754Z Getting action download info 2025-08-14T21:28:59.4523734Z ##[group]Run ./.github/actions/filter-test-configs 2025-08-14T21:28:59.4523964Z with: 2025-08-14T21:28:59.4524385Z github-token: *** 2025-08-14T21:28:59.4525863Z test-matrix: {"include": [{"config": "cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "inductor_torchbench_cpu_smoketest_perf", "shard": 1, "num_shards": 1, "runner": "linux.24xl.spr-metal"}]} 2025-08-14T21:28:59.4527477Z job-name: linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx) 2025-08-14T21:28:59.4527802Z env: 2025-08-14T21:28:59.4527947Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:28:59.4528119Z ##[endgroup] 2025-08-14T21:28:59.4564138Z ##[group]Run nick-fields/retry@v3.0.0 2025-08-14T21:28:59.4564466Z with: 2025-08-14T21:28:59.4564614Z shell: bash 2025-08-14T21:28:59.4564773Z timeout_minutes: 10 2025-08-14T21:28:59.4564928Z max_attempts: 5 2025-08-14T21:28:59.4565092Z retry_wait_seconds: 30 2025-08-14T21:28:59.4565541Z command: set -eux # PyYAML 6.0 doesn't work with MacOS x86 anymore # This must run on Python-3.7 (AmazonLinux2) so can't use request=3.32.2 python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-08-14T21:28:59.4565987Z polling_interval_seconds: 1 2025-08-14T21:28:59.4566171Z warning_on_retry: true 2025-08-14T21:28:59.4566341Z continue_on_error: false 2025-08-14T21:28:59.4566508Z env: 2025-08-14T21:28:59.4566646Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:28:59.4566973Z GITHUB_TOKEN: *** 2025-08-14T21:28:59.4587242Z ##[endgroup] 2025-08-14T21:28:59.5428569Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-08-14T21:28:59.7082890Z Defaulting to user installation because normal site-packages is not writeable 2025-08-14T21:28:59.7898872Z Collecting requests==2.27.1 2025-08-14T21:28:59.8043546Z Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB) 2025-08-14T21:28:59.9123789Z Collecting pyyaml==6.0.2 2025-08-14T21:28:59.9159460Z Downloading PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (737 kB) 2025-08-14T21:28:59.9683486Z Collecting certifi>=2017.4.17 2025-08-14T21:28:59.9725937Z Downloading certifi-2025.8.3-py3-none-any.whl (161 kB) 2025-08-14T21:28:59.9818826Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (1.25.10) 2025-08-14T21:28:59.9825808Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (2.10) 2025-08-14T21:29:00.2083269Z Collecting charset-normalizer~=2.0.0 2025-08-14T21:29:00.2121778Z Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB) 2025-08-14T21:29:00.2833335Z Installing collected packages: charset-normalizer, certifi, requests, pyyaml 2025-08-14T21:29:00.5902867Z Successfully installed certifi-2025.8.3 charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1 2025-08-14T21:29:01.5200948Z Command completed after 1 attempt(s). 2025-08-14T21:29:01.5447679Z ##[group]Run set -x 2025-08-14T21:29:01.5447886Z set -x 2025-08-14T21:29:01.5448038Z  2025-08-14T21:29:01.5448281Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-08-14T21:29:01.5448556Z # in runner workspace 2025-08-14T21:29:01.5448946Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py" 2025-08-14T21:29:01.5453973Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:29:01.5454197Z env: 2025-08-14T21:29:01.5454359Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:29:01.5454536Z ##[endgroup] 2025-08-14T21:29:01.5479323Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py 2025-08-14T21:29:01.5615339Z Setting output branch=main 2025-08-14T21:29:01.5790128Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}" 2025-08-14T21:29:01.5790400Z echo "Workflow: ${GITHUB_WORKFLOW}" 2025-08-14T21:29:01.5790609Z echo "Job name: ${JOB_NAME}" 2025-08-14T21:29:01.5790796Z  2025-08-14T21:29:01.5791032Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-08-14T21:29:01.5791305Z # in runner workspace 2025-08-14T21:29:01.5791585Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \ 2025-08-14T21:29:01.5791870Z  --workflow "${GITHUB_WORKFLOW}" \ 2025-08-14T21:29:01.5792097Z  --job-name "${JOB_NAME}" \ 2025-08-14T21:29:01.5793592Z  --test-matrix "{"include": [{"config": "cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "inductor_torchbench_cpu_smoketest_perf", "shard": 1, "num_shards": 1, "runner": "linux.24xl.spr-metal"}]}" \ 2025-08-14T21:29:01.5795224Z  --selected-test-configs "" \ 2025-08-14T21:29:01.5795436Z  --pr-number "${PR_NUMBER}" \ 2025-08-14T21:29:01.5795633Z  --tag "${TAG}" \ 2025-08-14T21:29:01.5795817Z  --event-name "${EVENT_NAME}" \ 2025-08-14T21:29:01.5796025Z  --schedule "${SCHEDULE}" \ 2025-08-14T21:29:01.5796224Z  --branch "${HEAD_BRANCH}" 2025-08-14T21:29:01.5800731Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:29:01.5800958Z env: 2025-08-14T21:29:01.5801111Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:29:01.5801725Z GITHUB_TOKEN: *** 2025-08-14T21:29:01.5802056Z JOB_NAME: linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx) 2025-08-14T21:29:01.5802381Z PR_NUMBER: 2025-08-14T21:29:01.5802533Z TAG: 2025-08-14T21:29:01.5802668Z EVENT_NAME: push 2025-08-14T21:29:01.5802824Z SCHEDULE: 2025-08-14T21:29:01.5802981Z HEAD_BRANCH: main 2025-08-14T21:29:01.5803131Z ##[endgroup] 2025-08-14T21:29:01.5826109Z Workflow: inductor 2025-08-14T21:29:01.5828049Z Job name: linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx) 2025-08-14T21:29:01.7219918Z Setting output keep-going=True 2025-08-14T21:29:01.7223875Z Setting output ci-verbose-test-logs=False 2025-08-14T21:29:01.7225618Z Setting output ci-test-showlocals=False 2025-08-14T21:29:01.7226022Z Setting output ci-no-test-timeout=False 2025-08-14T21:29:01.7229899Z Setting output ci-no-td=False 2025-08-14T21:29:01.7231933Z Setting output ci-td-distributed=False 2025-08-14T21:29:01.7232284Z Setting output is-unstable=False 2025-08-14T21:29:01.7236739Z Setting output reenabled-issues= 2025-08-14T21:29:01.7242460Z Setting output test-matrix={"include": [{"config": "cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "inductor_torchbench_cpu_smoketest_perf", "shard": 1, "num_shards": 1, "runner": "linux.24xl.spr-metal"}]} 2025-08-14T21:29:01.7244079Z Setting output is-test-matrix-empty=False 2025-08-14T21:29:01.7552463Z ##[group]Run echo "Filtered matrix:" 2025-08-14T21:29:01.7552708Z echo "Filtered matrix:" 2025-08-14T21:29:01.7554190Z echo "{"include": [{"config": "cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "inductor_torchbench_cpu_smoketest_perf", "shard": 1, "num_shards": 1, "runner": "linux.24xl.spr-metal"}]}" 2025-08-14T21:29:01.7555774Z  2025-08-14T21:29:01.7555916Z echo 2025-08-14T21:29:01.7556098Z echo "Is the current job unstable? False" 2025-08-14T21:29:01.7556319Z  2025-08-14T21:29:01.7556462Z echo 2025-08-14T21:29:01.7556633Z echo "Is keep-going label set? True" 2025-08-14T21:29:01.7556836Z  2025-08-14T21:29:01.7556977Z echo 2025-08-14T21:29:01.7557132Z echo "Reenabled issues? " 2025-08-14T21:29:01.7561780Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:29:01.7562007Z env: 2025-08-14T21:29:01.7562152Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:29:01.7562325Z ##[endgroup] 2025-08-14T21:29:01.7586179Z Filtered matrix: 2025-08-14T21:29:01.7592381Z {include: [{config: cpu_inductor_torchbench, shard: 1, num_shards: 2, runner: linux.8xlarge.amx}, {config: cpu_inductor_torchbench, shard: 2, num_shards: 2, runner: linux.8xlarge.amx}, {config: dynamic_cpu_inductor_huggingface, shard: 1, num_shards: 1, runner: linux.8xlarge.amx}, {config: dynamic_cpu_inductor_timm, shard: 1, num_shards: 2, runner: linux.8xlarge.amx}, {config: dynamic_cpu_inductor_timm, shard: 2, num_shards: 2, runner: linux.8xlarge.amx}, {config: dynamic_cpu_inductor_torchbench, shard: 1, num_shards: 2, runner: linux.8xlarge.amx}, {config: dynamic_cpu_inductor_torchbench, shard: 2, num_shards: 2, runner: linux.8xlarge.amx}, {config: inductor_torchbench_cpu_smoketest_perf, shard: 1, num_shards: 1, runner: linux.24xl.spr-metal}]} 2025-08-14T21:29:01.7593861Z 2025-08-14T21:29:01.7593962Z Is the current job unstable? False 2025-08-14T21:29:01.7594097Z 2025-08-14T21:29:01.7594174Z Is keep-going label set? True 2025-08-14T21:29:01.7594308Z 2025-08-14T21:29:01.7594375Z Reenabled issues? 2025-08-14T21:29:01.7721592Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-08-14T21:29:01.7721917Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-08-14T21:29:01.7726522Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:29:01.7726755Z env: 2025-08-14T21:29:01.7726908Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:29:01.7727076Z JOB_TIMEOUT: 240 2025-08-14T21:29:01.7727237Z ##[endgroup] 2025-08-14T21:29:01.7868260Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-14T21:29:01.7868587Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-14T21:29:01.7868852Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-14T21:29:01.7872752Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:29:01.7872982Z env: 2025-08-14T21:29:01.7873138Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:29:01.7873305Z ##[endgroup] 2025-08-14T21:29:01.8158752Z ##[group]Run set -x 2025-08-14T21:29:01.8158996Z set -x 2025-08-14T21:29:01.8159141Z  2025-08-14T21:29:01.8159312Z if [[ $TEST_CONFIG == 'multigpu' ]]; then 2025-08-14T21:29:01.8159558Z  TEST_COMMAND=.ci/pytorch/multigpu-test.sh 2025-08-14T21:29:01.8159792Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then 2025-08-14T21:29:01.8160014Z  TEST_COMMAND=.ci/onnx/test.sh 2025-08-14T21:29:01.8160201Z else 2025-08-14T21:29:01.8160370Z  TEST_COMMAND=.ci/pytorch/test.sh 2025-08-14T21:29:01.8160555Z fi 2025-08-14T21:29:01.8160693Z  2025-08-14T21:29:01.8160864Z # Leaving 1GB for the runner and other things 2025-08-14T21:29:01.8161197Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo) 2025-08-14T21:29:01.8161709Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap 2025-08-14T21:29:01.8162206Z # comes from https://github.com/pytorch/test-infra/pull/6058 2025-08-14T21:29:01.8162509Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3)) 2025-08-14T21:29:01.8162753Z  2025-08-14T21:29:01.8162930Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-08-14T21:29:01.8163137Z  SHM_OPTS= 2025-08-14T21:29:01.8163302Z  JENKINS_USER= 2025-08-14T21:29:01.8163523Z  # ensure that docker container cleanly exits in 12 hours 2025-08-14T21:29:01.8163799Z  # if for some reason cleanup action doesn't stop container 2025-08-14T21:29:01.8164042Z  # when job is cancelled 2025-08-14T21:29:01.8164240Z  DOCKER_SHELL_CMD="sleep 12h" 2025-08-14T21:29:01.8164428Z else 2025-08-14T21:29:01.8164591Z  SHM_OPTS="--shm-size=${SHM_SIZE}" 2025-08-14T21:29:01.8164802Z  JENKINS_USER="--user jenkins" 2025-08-14T21:29:01.8165004Z  DOCKER_SHELL_CMD= 2025-08-14T21:29:01.8165171Z fi 2025-08-14T21:29:01.8165313Z  2025-08-14T21:29:01.8165522Z # detached container should get cleaned up by teardown_ec2_linux 2025-08-14T21:29:01.8165825Z # TODO: Stop building test binaries as part of the build phase 2025-08-14T21:29:01.8166169Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice 2025-08-14T21:29:01.8166478Z # shellcheck disable=SC2086,SC2090 2025-08-14T21:29:01.8166687Z container_name=$(docker run \ 2025-08-14T21:29:01.8166880Z  ${GPU_FLAG:-} \ 2025-08-14T21:29:01.8167081Z  ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \ 2025-08-14T21:29:01.8167299Z  -e BUILD_ENVIRONMENT \ 2025-08-14T21:29:01.8167489Z  -e PR_NUMBER \ 2025-08-14T21:29:01.8167689Z  -e GITHUB_ACTIONS \ 2025-08-14T21:29:01.8167897Z  -e GITHUB_REPOSITORY \ 2025-08-14T21:29:01.8168161Z  -e GITHUB_WORKFLOW \ 2025-08-14T21:29:01.8168346Z  -e GITHUB_JOB \ 2025-08-14T21:29:01.8168523Z  -e GITHUB_RUN_ID \ 2025-08-14T21:29:01.8168706Z  -e GITHUB_RUN_NUMBER \ 2025-08-14T21:29:01.8168886Z  -e GITHUB_RUN_ATTEMPT \ 2025-08-14T21:29:01.8169073Z  -e JOB_ID \ 2025-08-14T21:29:01.8169244Z  -e JOB_NAME \ 2025-08-14T21:29:01.8169409Z  -e BASE_SHA \ 2025-08-14T21:29:01.8169583Z  -e BRANCH \ 2025-08-14T21:29:01.8169743Z  -e SHA1 \ 2025-08-14T21:29:01.8169898Z  -e AWS_DEFAULT_REGION \ 2025-08-14T21:29:01.8170084Z  -e IN_WHEEL_TEST \ 2025-08-14T21:29:01.8170259Z  -e SHARD_NUMBER \ 2025-08-14T21:29:01.8170431Z  -e TEST_CONFIG \ 2025-08-14T21:29:01.8170598Z  -e NUM_TEST_SHARDS \ 2025-08-14T21:29:01.8170783Z  -e REENABLED_ISSUES \ 2025-08-14T21:29:01.8170973Z  -e CONTINUE_THROUGH_ERROR \ 2025-08-14T21:29:01.8171230Z  -e VERBOSE_TEST_LOGS \ 2025-08-14T21:29:01.8171419Z  -e TEST_SHOWLOCALS \ 2025-08-14T21:29:01.8171601Z  -e NO_TEST_TIMEOUT \ 2025-08-14T21:29:01.8171767Z  -e NO_TD \ 2025-08-14T21:29:01.8171938Z  -e TD_DISTRIBUTED \ 2025-08-14T21:29:01.8172138Z  -e PR_LABELS \ 2025-08-14T21:29:01.8172330Z  -e MAX_JOBS="$(nproc --ignore=2)" \ 2025-08-14T21:29:01.8172527Z  -e SCCACHE_BUCKET \ 2025-08-14T21:29:01.8172702Z  -e SCCACHE_REGION \ 2025-08-14T21:29:01.8172874Z  -e XLA_CUDA \ 2025-08-14T21:29:01.8173048Z  -e XLA_CLANG_CACHE_S3_BUCKET_NAME \ 2025-08-14T21:29:01.8173266Z  -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \ 2025-08-14T21:29:01.8173489Z  -e PYTORCH_TEST_RERUN_DISABLED_TESTS \ 2025-08-14T21:29:01.8173701Z  -e SKIP_SCCACHE_INITIALIZATION=1 \ 2025-08-14T21:29:01.8173910Z  -e HUGGING_FACE_HUB_TOKEN \ 2025-08-14T21:29:01.8174114Z  -e SCRIBE_GRAPHQL_ACCESS_TOKEN \ 2025-08-14T21:29:01.8174358Z  -e DASHBOARD_TAG \ 2025-08-14T21:29:01.8174534Z  -e ARTIFACTS_FILE_SUFFIX \ 2025-08-14T21:29:01.8174756Z  --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \ 2025-08-14T21:29:01.8175002Z  --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \ 2025-08-14T21:29:01.8175241Z  --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \ 2025-08-14T21:29:01.8175477Z  --security-opt seccomp=unconfined \ 2025-08-14T21:29:01.8175681Z  --cap-add=SYS_PTRACE \ 2025-08-14T21:29:01.8175864Z  --ipc=host \ 2025-08-14T21:29:01.8176022Z  ${SHM_OPTS} \ 2025-08-14T21:29:01.8176186Z  --tty \ 2025-08-14T21:29:01.8176346Z  --detach \ 2025-08-14T21:29:01.8176509Z  --name="${container_name}" \ 2025-08-14T21:29:01.8176698Z  ${JENKINS_USER} \ 2025-08-14T21:29:01.8176916Z  -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \ 2025-08-14T21:29:01.8177153Z  -w /var/lib/jenkins/workspace \ 2025-08-14T21:29:01.8177349Z  "${DOCKER_IMAGE}" \ 2025-08-14T21:29:01.8177525Z  ${DOCKER_SHELL_CMD} 2025-08-14T21:29:01.8177683Z ) 2025-08-14T21:29:01.8177872Z # Propagate download.pytorch.org IP to container 2025-08-14T21:29:01.8178249Z grep download.pytorch.org /etc/hosts | docker exec -i "${container_name}" sudo bash -c "/bin/cat >> /etc/hosts" 2025-08-14T21:29:01.8178645Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}" 2025-08-14T21:29:01.8178875Z  2025-08-14T21:29:01.8179047Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-08-14T21:29:01.8179380Z  docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt" 2025-08-14T21:29:01.8179793Z fi 2025-08-14T21:29:01.8179940Z  2025-08-14T21:29:01.8180248Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}" 2025-08-14T21:29:01.8184539Z shell: /usr/bin/bash -e {0} 2025-08-14T21:29:01.8184719Z env: 2025-08-14T21:29:01.8184877Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:29:01.8185099Z BUILD_ENVIRONMENT: linux-jammy-py3.9-gcc11-build 2025-08-14T21:29:01.8185316Z PR_NUMBER: 2025-08-14T21:29:01.8185488Z GITHUB_REPOSITORY: pytorch/pytorch 2025-08-14T21:29:01.8185692Z GITHUB_WORKFLOW: inductor 2025-08-14T21:29:01.8185865Z GITHUB_JOB: test 2025-08-14T21:29:01.8186021Z GITHUB_RUN_ID: 16976255153 2025-08-14T21:29:01.8186200Z GITHUB_RUN_NUMBER: 147536 2025-08-14T21:29:01.8186375Z GITHUB_RUN_ATTEMPT: 1 2025-08-14T21:29:01.8186536Z JOB_ID: 48128039099 2025-08-14T21:29:01.8186852Z JOB_NAME: linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx) 2025-08-14T21:29:01.8187192Z BRANCH: main 2025-08-14T21:29:01.8187366Z SHA1: 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:29:01.8187677Z BASE_SHA: 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:29:01.8187913Z TEST_CONFIG: cpu_inductor_torchbench 2025-08-14T21:29:01.8188115Z SHARD_NUMBER: 1 2025-08-14T21:29:01.8188267Z NUM_TEST_SHARDS: 2 2025-08-14T21:29:01.8188430Z REENABLED_ISSUES: 2025-08-14T21:29:01.8188604Z CONTINUE_THROUGH_ERROR: True 2025-08-14T21:29:01.8188785Z VERBOSE_TEST_LOGS: False 2025-08-14T21:29:01.8188964Z TEST_SHOWLOCALS: False 2025-08-14T21:29:01.8189152Z NO_TEST_TIMEOUT: False 2025-08-14T21:29:01.8189305Z NO_TD: False 2025-08-14T21:29:01.8189451Z TD_DISTRIBUTED: False 2025-08-14T21:29:01.8189654Z SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2 2025-08-14T21:29:01.8189866Z SCCACHE_REGION: us-east-1 2025-08-14T21:29:01.8190032Z SHM_SIZE: 1g 2025-08-14T21:29:01.8190507Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:29:01.8190994Z XLA_CUDA: 2025-08-14T21:29:01.8191211Z XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla 2025-08-14T21:29:01.8191532Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0 2025-08-14T21:29:01.8191733Z PYTORCH_TEST_RERUN_DISABLED_TESTS: 0 2025-08-14T21:29:01.8191910Z DASHBOARD_TAG: 2025-08-14T21:29:01.8192234Z HUGGING_FACE_HUB_TOKEN: *** 2025-08-14T21:29:01.8192490Z SCRIBE_GRAPHQL_ACCESS_TOKEN: *** 2025-08-14T21:29:01.8192781Z ARTIFACTS_FILE_SUFFIX: test-cpu_inductor_torchbench-1-2-linux.8xlarge.amx_48128039099 2025-08-14T21:29:01.8193068Z ##[endgroup] 2025-08-14T21:29:01.8216022Z + [[ cpu_inductor_torchbench == \m\u\l\t\i\g\p\u ]] 2025-08-14T21:29:01.8216367Z + [[ linux-jammy-py3.9-gcc11-build == *onnx* ]] 2025-08-14T21:29:01.8216616Z + TEST_COMMAND=.ci/pytorch/test.sh 2025-08-14T21:29:01.8216868Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo 2025-08-14T21:29:01.8235301Z + TOTAL_AVAILABLE_MEMORY_IN_GB='122.780 ' 2025-08-14T21:29:01.8238569Z + TOTAL_MEMORY_WITH_SWAP=125 2025-08-14T21:29:01.8242410Z + [[ linux-jammy-py3.9-gcc11-build == *\s\3\9\0\x* ]] 2025-08-14T21:29:01.8246395Z + SHM_OPTS=--shm-size=1g 2025-08-14T21:29:01.8248544Z + JENKINS_USER='--user jenkins' 2025-08-14T21:29:01.8253222Z + DOCKER_SHELL_CMD= 2025-08-14T21:29:01.8253596Z +++ nproc --ignore=2 2025-08-14T21:29:01.8642530Z ++ 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 SCRIBE_GRAPHQL_ACCESS_TOKEN -e DASHBOARD_TAG -e ARTIFACTS_FILE_SUFFIX --memory=122g --memory-swap=125g --env-file=/tmp/github_env_16976255153 --security-opt seccomp=unconfined --cap-add=SYS_PTRACE --ipc=host --shm-size=1g --tty --detach --name= --user jenkins -v /home/ec2-user/actions-runner/_work/pytorch/pytorch:/var/lib/jenkins/workspace -w /var/lib/jenkins/workspace 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:29:15.6002937Z + container_name=2b4d07f6e07de63cea1adeedb8e52683d6256766250063416b03ad5880eb8286 2025-08-14T21:29:15.6004993Z + docker exec -i 2b4d07f6e07de63cea1adeedb8e52683d6256766250063416b03ad5880eb8286 sudo bash -c '/bin/cat >> /etc/hosts' 2025-08-14T21:29:15.6005453Z + grep download.pytorch.org /etc/hosts 2025-08-14T21:29:15.7503305Z + echo DOCKER_CONTAINER_ID=2b4d07f6e07de63cea1adeedb8e52683d6256766250063416b03ad5880eb8286 2025-08-14T21:29:15.7503790Z + [[ linux-jammy-py3.9-gcc11-build == *\s\3\9\0\x* ]] 2025-08-14T21:29:15.7510334Z ++ echo dist/torch-2.9.0a0+git1fc683c-cp39-cp39-linux_x86_64.whl 2025-08-14T21:29:15.7515243Z + docker exec -t 2b4d07f6e07de63cea1adeedb8e52683d6256766250063416b03ad5880eb8286 sh -c 'python3 -m pip install dist/torch-2.9.0a0+git1fc683c-cp39-cp39-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh' 2025-08-14T21:29:16.0579394Z Processing ./dist/torch-2.9.0a0+git1fc683c-cp39-cp39-linux_x86_64.whl (from torch==2.9.0a0+git1fc683c) 2025-08-14T21:29:16.2585365Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (3.18.0) 2025-08-14T21:29:16.2587608Z 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+git1fc683c->torch==2.9.0a0+git1fc683c) (4.14.1) 2025-08-14T21:29:16.2588475Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (1.13.3) 2025-08-14T21:29:16.2593368Z Requirement already satisfied: networkx>=2.5.1 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (2.8.8) 2025-08-14T21:29:16.2595393Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (3.1.6) 2025-08-14T21:29:16.2596190Z Requirement already satisfied: fsspec>=0.8.5 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (2025.3.0) 2025-08-14T21:29:16.2609417Z Requirement already satisfied: opt-einsum>=3.3 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (3.3.0) 2025-08-14T21:29:16.2867341Z 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+git1fc683c->torch==2.9.0a0+git1fc683c) (1.22.4) 2025-08-14T21:29:16.2882867Z 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+git1fc683c->torch==2.9.0a0+git1fc683c) (1.3.0) 2025-08-14T21:29:16.2926373Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from jinja2->torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (3.0.2) 2025-08-14T21:29:16.9795281Z Installing collected packages: torch 2025-08-14T21:29:23.6538814Z ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts. 2025-08-14T21:29:23.6540023Z dall-e 0.1 requires torchvision, which is not installed. 2025-08-14T21:29:23.6540358Z effdet 0.4.1 requires torchvision, which is not installed. 2025-08-14T21:29:23.6540712Z pytorch-labs-segment-anything-fast 0.2 requires torchao, which is not installed. 2025-08-14T21:29:23.6541185Z pytorch-labs-segment-anything-fast 0.2 requires torchvision>=0.17.0.dev20231026, which is not installed. 2025-08-14T21:29:23.6541729Z timm 1.0.14 requires torchvision, which is not installed. 2025-08-14T21:29:23.6542040Z Successfully installed torch-2.9.0a0+git1fc683c 2025-08-14T21:29:23.7503690Z + export TERM=vt100 2025-08-14T21:29:23.7508304Z + TERM=vt100 2025-08-14T21:29:23.7510648Z ++ dirname .ci/pytorch/test.sh 2025-08-14T21:29:23.7511188Z + source .ci/pytorch/common.sh 2025-08-14T21:29:23.7516590Z +++ dirname .ci/pytorch/common.sh 2025-08-14T21:29:23.7542786Z ++ source .ci/pytorch/common_utils.sh 2025-08-14T21:29:23.7545398Z +++ declare -f -t trap_add 2025-08-14T21:29:23.7549907Z ++ set -ex -o pipefail 2025-08-14T21:29:23.7552091Z ++ [[ linux-jammy-py3.9-gcc11-build == *rocm* ]] 2025-08-14T21:29:23.7556846Z ++ BUILD_TEST_LIBTORCH=0 2025-08-14T21:29:23.7561724Z ++ dirname .ci/pytorch/test.sh 2025-08-14T21:29:23.7566697Z + source .ci/pytorch/common-build.sh 2025-08-14T21:29:23.7570996Z ++ [[ linux-jammy-py3.9-gcc11-build != *win-* ]] 2025-08-14T21:29:23.7571307Z ++++ dirname .ci/pytorch/common-build.sh 2025-08-14T21:29:23.7580278Z +++ cd .ci/pytorch 2025-08-14T21:29:23.7580489Z +++ pwd -P 2025-08-14T21:29:23.7580835Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch 2025-08-14T21:29:23.7585874Z ++ [[ linux-jammy-py3.9-gcc11-build == *-pch* ]] 2025-08-14T21:29:23.7587788Z ++ which sccache 2025-08-14T21:29:23.7606822Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]] 2025-08-14T21:29:23.7611914Z ++ sccache --stop-server 2025-08-14T21:29:23.7631793Z ++ true 2025-08-14T21:29:23.7636669Z ++ rm -f /var/lib/jenkins/sccache_error.log 2025-08-14T21:29:23.7644614Z ++ trap_add sccache_epilogue EXIT 2025-08-14T21:29:23.7646789Z ++ trap_add_cmd=sccache_epilogue 2025-08-14T21:29:23.7647295Z ++ shift 2025-08-14T21:29:23.7647474Z ++ for trap_add_name in "$@" 2025-08-14T21:29:23.7653459Z ++++ trap -p EXIT 2025-08-14T21:29:23.7655514Z +++ eval 'extract_trap_cmd ' 2025-08-14T21:29:23.7655868Z ++++ extract_trap_cmd 2025-08-14T21:29:23.7661140Z ++++ printf '%s\n' '' 2025-08-14T21:29:23.7665816Z +++ printf '%s\n' sccache_epilogue 2025-08-14T21:29:23.7667782Z ++ trap -- ' 2025-08-14T21:29:23.7672915Z sccache_epilogue' EXIT 2025-08-14T21:29:23.7673299Z ++ [[ -n 1 ]] 2025-08-14T21:29:23.7673562Z ++ echo 'Skipping sccache server initialization, setting environment variables' 2025-08-14T21:29:23.7674019Z Skipping sccache server initialization, setting environment variables 2025-08-14T21:29:23.7674373Z ++ export SCCACHE_IDLE_TIMEOUT=0 2025-08-14T21:29:23.7674948Z ++ SCCACHE_IDLE_TIMEOUT=0 2025-08-14T21:29:23.7679999Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-08-14T21:29:23.7681837Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-08-14T21:29:23.7682309Z ++ export RUST_LOG=sccache::server=error 2025-08-14T21:29:23.7682650Z ++ RUST_LOG=sccache::server=error 2025-08-14T21:29:23.7682939Z ++ sccache --zero-stats 2025-08-14T21:29:23.9078786Z Statistics zeroed. 2025-08-14T21:29:23.9082577Z ++ which ccache 2025-08-14T21:29:23.9100523Z + [[ linux-jammy-py3.9-gcc11-build != *rocm* ]] 2025-08-14T21:29:23.9100835Z + [[ linux-jammy-py3.9-gcc11-build != *s390x* ]] 2025-08-14T21:29:23.9101096Z + [[ -d /var/lib/jenkins/workspace ]] 2025-08-14T21:29:23.9101315Z ++ stat -c %u /var/lib/jenkins/workspace 2025-08-14T21:29:23.9123238Z + WORKSPACE_ORIGINAL_OWNER_ID=1000 2025-08-14T21:29:23.9126608Z + trap_add cleanup_workspace EXIT 2025-08-14T21:29:23.9131818Z + trap_add_cmd=cleanup_workspace 2025-08-14T21:29:23.9133892Z + shift 2025-08-14T21:29:23.9134122Z + for trap_add_name in "$@" 2025-08-14T21:29:23.9134339Z +++ trap -p EXIT 2025-08-14T21:29:23.9134539Z ++ eval 'extract_trap_cmd trap -- '\'' 2025-08-14T21:29:23.9134756Z sccache_epilogue'\'' EXIT' 2025-08-14T21:29:23.9134943Z +++ extract_trap_cmd trap -- ' 2025-08-14T21:29:23.9135135Z sccache_epilogue' EXIT 2025-08-14T21:29:23.9135310Z +++ printf '%s\n' ' 2025-08-14T21:29:23.9135470Z sccache_epilogue' 2025-08-14T21:29:23.9135648Z ++ printf '%s\n' cleanup_workspace 2025-08-14T21:29:23.9135863Z + trap -- ' 2025-08-14T21:29:23.9136019Z sccache_epilogue 2025-08-14T21:29:23.9136178Z cleanup_workspace' EXIT 2025-08-14T21:29:23.9136391Z + sudo chown -R jenkins /var/lib/jenkins/workspace 2025-08-14T21:29:24.3181182Z + git config --global --add safe.directory /var/lib/jenkins/workspace 2025-08-14T21:29:24.3196036Z + echo 'Environment variables:' 2025-08-14T21:29:24.3198166Z Environment variables: 2025-08-14T21:29:24.3198461Z + env 2025-08-14T21:29:24.3206440Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-08-14T21:29:24.3210927Z CONTINUE_THROUGH_ERROR=True 2025-08-14T21:29:24.3216186Z BUILD_ENVIRONMENT=linux-jammy-py3.9-gcc11-build 2025-08-14T21:29:24.3220641Z HOSTNAME=2b4d07f6e07d 2025-08-14T21:29:24.3223974Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_f54b60b0-ba65-4313-9556-c95f4b2e7095 2025-08-14T21:29:24.3229039Z GITHUB_ACTION=__run_2 2025-08-14T21:29:24.3231410Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-08-14T21:29:24.3237579Z GITHUB_RUN_NUMBER=147536 2025-08-14T21:29:24.3238035Z TEST_CONFIG=cpu_inductor_torchbench 2025-08-14T21:29:24.3238354Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-08-14T21:29:24.3238744Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-08-14T21:29:24.3238973Z SCCACHE_IDLE_TIMEOUT=0 2025-08-14T21:29:24.3239424Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-08-14T21:29:24.3239646Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-08-14T21:29:24.3239863Z GITHUB_REF_TYPE=branch 2025-08-14T21:29:24.3240046Z TORCH_CUDA_ARCH_LIST=Maxwell 2025-08-14T21:29:24.3240265Z BASE_SHA=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:29:24.3240477Z XLA_CUDA= 2025-08-14T21:29:24.3240640Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-08-14T21:29:24.3241003Z HUGGING_FACE_HUB_TOKEN=*** 2025-08-14T21:29:24.3248545Z *** 2025-08-14T21:29:24.3248750Z GITHUB_REPOSITORY_ID=65600975 2025-08-14T21:29:24.3249705Z GITHUB_ACTIONS=true 2025-08-14T21:29:24.3250036Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-08-14T21:29:24.3250364Z SHA1=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:29:24.3254781Z GITHUB_SHA=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:29:24.3255212Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor.yml@refs/heads/main 2025-08-14T21:29:24.3255506Z UCC_HOME=/usr 2025-08-14T21:29:24.3255671Z VERBOSE_TEST_LOGS=False 2025-08-14T21:29:24.3255841Z GITHUB_REF=refs/heads/main 2025-08-14T21:29:24.3256018Z SHARD_NUMBER=1 2025-08-14T21:29:24.3256181Z GITHUB_REF_PROTECTED=true 2025-08-14T21:29:24.3256353Z HOME=/var/lib/jenkins 2025-08-14T21:29:24.3256552Z GITHUB_API_URL=https://api.github.com 2025-08-14T21:29:24.3256768Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-08-14T21:29:24.3256957Z UCX_COMMIT= 2025-08-14T21:29:24.3257102Z USE_SYSTEM_NCCL=1 2025-08-14T21:29:24.3257255Z NUM_TEST_SHARDS=2 2025-08-14T21:29:24.3257395Z UCX_HOME=/usr 2025-08-14T21:29:24.3257727Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_f54b60b0-ba65-4313-9556-c95f4b2e7095 2025-08-14T21:29:24.3258240Z JOB_NAME=linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx) 2025-08-14T21:29:24.3258730Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_f54b60b0-ba65-4313-9556-c95f4b2e7095 2025-08-14T21:29:24.3259161Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-08-14T21:29:24.3259446Z GITHUB_EVENT_NAME=push 2025-08-14T21:29:24.3259609Z DASHBOARD_TAG= 2025-08-14T21:29:24.3259901Z GITHUB_RUN_ID=16976255153 2025-08-14T21:29:24.3260080Z INSTALLED_OPENBLAS= 2025-08-14T21:29:24.3260435Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_f54b60b0-ba65-4313-9556-c95f4b2e7095 2025-08-14T21:29:24.3260826Z GITHUB_ACTOR=pytorchmergebot 2025-08-14T21:29:24.3261009Z PR_NUMBER= 2025-08-14T21:29:24.3261152Z DESIRED_CUDA= 2025-08-14T21:29:24.3261299Z GITHUB_RUN_ATTEMPT=1 2025-08-14T21:29:24.3261457Z ANACONDA_PYTHON_VERSION=3.9 2025-08-14T21:29:24.3261675Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-08-14T21:29:24.3261887Z TERM=vt100 2025-08-14T21:29:24.3262022Z INSTALLED_VISION=yes 2025-08-14T21:29:24.3262176Z BRANCH=main 2025-08-14T21:29:24.3262322Z SCCACHE_REGION=us-east-1 2025-08-14T21:29:24.3262492Z OPENSSL_ROOT_DIR=/opt/openssl 2025-08-14T21:29:24.3262670Z CUDA_PATH=/usr/local/cuda 2025-08-14T21:29:24.3262968Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-08-14T21:29:24.3263286Z GITHUB_SERVER_URL=https://github.com 2025-08-14T21:29:24.3263473Z UCC_COMMIT= 2025-08-14T21:29:24.3263614Z REENABLED_ISSUES= 2025-08-14T21:29:24.3263756Z DOCS=yes 2025-08-14T21:29:24.3263893Z SHLVL=1 2025-08-14T21:29:24.3264032Z MAX_JOBS=30 2025-08-14T21:29:24.3264167Z GITHUB_ACTOR_ID=97764156 2025-08-14T21:29:24.3264379Z GITHUB_WORKFLOW_SHA=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:29:24.3264604Z GITHUB_REF_NAME=main 2025-08-14T21:29:24.3265078Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-08-14T21:29:24.3265334Z GITHUB_JOB=test 2025-08-14T21:29:24.3265490Z NO_TEST_TIMEOUT=False 2025-08-14T21:29:24.3265648Z TD_DISTRIBUTED=False 2025-08-14T21:29:24.3265811Z GITHUB_REPOSITORY=pytorch/pytorch 2025-08-14T21:29:24.3266001Z GITHUB_RETENTION_DAYS=90 2025-08-14T21:29:24.3266166Z OPENSSL_DIR=/opt/openssl 2025-08-14T21:29:24.3266328Z GITHUB_ACTION_REPOSITORY= 2025-08-14T21:29:24.3266758Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.9/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-08-14T21:29:24.3267182Z GITHUB_BASE_REF= 2025-08-14T21:29:24.3267328Z INSTALLED_ACL= 2025-08-14T21:29:24.3267586Z ARTIFACTS_FILE_SUFFIX=test-cpu_inductor_torchbench-1-2-linux.8xlarge.amx_48128039099 2025-08-14T21:29:24.3267864Z CI=true 2025-08-14T21:29:24.3268010Z GITHUB_REPOSITORY_OWNER=pytorch 2025-08-14T21:29:24.3268238Z RUST_LOG=sccache::server=error 2025-08-14T21:29:24.3268411Z JOB_ID=48128039099 2025-08-14T21:29:24.3268559Z GITHUB_HEAD_REF= 2025-08-14T21:29:24.3268750Z GITHUB_ACTION_REF= 2025-08-14T21:29:24.3268941Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-08-14T21:29:24.3269158Z TEST_SHOWLOCALS=False 2025-08-14T21:29:24.3269316Z GITHUB_WORKFLOW=inductor 2025-08-14T21:29:24.3269490Z DEBIAN_FRONTEND=noninteractive 2025-08-14T21:29:24.3269840Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_f54b60b0-ba65-4313-9556-c95f4b2e7095 2025-08-14T21:29:24.3270180Z NO_TD=False 2025-08-14T21:29:24.3270331Z SKIP_SCCACHE_INITIALIZATION=1 2025-08-14T21:29:24.3270526Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-08-14T21:29:24.3270711Z _=/usr/bin/env 2025-08-14T21:29:24.3270916Z ++ python -c 'import site; print(site.getsitepackages()[0])' 2025-08-14T21:29:24.3444934Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch 2025-08-14T21:29:24.3449144Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/bin 2025-08-14T21:29:24.3451338Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib 2025-08-14T21:29:24.3454538Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/test 2025-08-14T21:29:24.3454857Z + BUILD_DIR=build 2025-08-14T21:29:24.3455031Z + BUILD_RENAMED_DIR=build_renamed 2025-08-14T21:29:24.3455231Z + BUILD_BIN_DIR=build/bin 2025-08-14T21:29:24.3455409Z + SHARD_NUMBER=1 2025-08-14T21:29:24.3455562Z + NUM_TEST_SHARDS=2 2025-08-14T21:29:24.3455740Z + export TORCH_SERIALIZATION_DEBUG=1 2025-08-14T21:29:24.3455947Z + TORCH_SERIALIZATION_DEBUG=1 2025-08-14T21:29:24.3456120Z + export VALGRIND=ON 2025-08-14T21:29:24.3456280Z + VALGRIND=ON 2025-08-14T21:29:24.3456467Z + [[ linux-jammy-py3.9-gcc11-build == *clang9* ]] 2025-08-14T21:29:24.3456702Z + [[ linux-jammy-py3.9-gcc11-build == *xpu* ]] 2025-08-14T21:29:24.3456936Z + [[ linux-jammy-py3.9-gcc11-build == *s390x* ]] 2025-08-14T21:29:24.3457138Z + [[ 0 == \1 ]] 2025-08-14T21:29:24.3457312Z + [[ True == \1 ]] 2025-08-14T21:29:24.3457518Z + [[ linux-jammy-py3.9-gcc11-build != *bazel* ]] 2025-08-14T21:29:24.3457751Z ++ realpath build/custom_test_artifacts 2025-08-14T21:29:24.3458052Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts 2025-08-14T21:29:24.3458330Z + [[ -n '' ]] 2025-08-14T21:29:24.3458488Z + echo 'Environment variables' 2025-08-14T21:29:24.3458671Z Environment variables 2025-08-14T21:29:24.3458825Z + env 2025-08-14T21:29:24.3486889Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-08-14T21:29:24.3491790Z CONTINUE_THROUGH_ERROR=True 2025-08-14T21:29:24.3493509Z BUILD_ENVIRONMENT=linux-jammy-py3.9-gcc11-build 2025-08-14T21:29:24.3493800Z HOSTNAME=2b4d07f6e07d 2025-08-14T21:29:24.3494162Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_f54b60b0-ba65-4313-9556-c95f4b2e7095 2025-08-14T21:29:24.3494526Z GITHUB_ACTION=__run_2 2025-08-14T21:29:24.3494703Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-08-14T21:29:24.3494904Z GITHUB_RUN_NUMBER=147536 2025-08-14T21:29:24.3495304Z TEST_CONFIG=cpu_inductor_torchbench 2025-08-14T21:29:24.3495523Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-08-14T21:29:24.3495735Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-08-14T21:29:24.3495932Z SCCACHE_IDLE_TIMEOUT=0 2025-08-14T21:29:24.3496304Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-08-14T21:29:24.3496513Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-08-14T21:29:24.3496709Z GITHUB_REF_TYPE=branch 2025-08-14T21:29:24.3496886Z TORCH_CUDA_ARCH_LIST=Maxwell 2025-08-14T21:29:24.3497095Z BASE_SHA=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:29:24.3497298Z XLA_CUDA= 2025-08-14T21:29:24.3497457Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-08-14T21:29:24.3497716Z HUGGING_FACE_HUB_TOKEN=*** 2025-08-14T21:29:24.3497929Z *** 2025-08-14T21:29:24.3498071Z GITHUB_REPOSITORY_ID=65600975 2025-08-14T21:29:24.3498254Z GITHUB_ACTIONS=true 2025-08-14T21:29:24.3498449Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-08-14T21:29:24.3498679Z SHA1=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:29:24.3498907Z GITHUB_SHA=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:29:24.3499312Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor.yml@refs/heads/main 2025-08-14T21:29:24.3499594Z UCC_HOME=/usr 2025-08-14T21:29:24.3499870Z TORCH_SERIALIZATION_DEBUG=1 2025-08-14T21:29:24.3500058Z VERBOSE_TEST_LOGS=False 2025-08-14T21:29:24.3500239Z GITHUB_REF=refs/heads/main 2025-08-14T21:29:24.3500408Z SHARD_NUMBER=1 2025-08-14T21:29:24.3500569Z GITHUB_REF_PROTECTED=true 2025-08-14T21:29:24.3500746Z HOME=/var/lib/jenkins 2025-08-14T21:29:24.3500941Z GITHUB_API_URL=https://api.github.com 2025-08-14T21:29:24.3501155Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-08-14T21:29:24.3501348Z UCX_COMMIT= 2025-08-14T21:29:24.3501488Z USE_SYSTEM_NCCL=1 2025-08-14T21:29:24.3501646Z NUM_TEST_SHARDS=2 2025-08-14T21:29:24.3501803Z UCX_HOME=/usr 2025-08-14T21:29:24.3502130Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_f54b60b0-ba65-4313-9556-c95f4b2e7095 2025-08-14T21:29:24.3502644Z JOB_NAME=linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx) 2025-08-14T21:29:24.3503140Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_f54b60b0-ba65-4313-9556-c95f4b2e7095 2025-08-14T21:29:24.3503594Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-08-14T21:29:24.3503879Z GITHUB_EVENT_NAME=push 2025-08-14T21:29:24.3504044Z DASHBOARD_TAG= 2025-08-14T21:29:24.3504200Z GITHUB_RUN_ID=16976255153 2025-08-14T21:29:24.3504366Z INSTALLED_OPENBLAS= 2025-08-14T21:29:24.3504732Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_f54b60b0-ba65-4313-9556-c95f4b2e7095 2025-08-14T21:29:24.3505119Z GITHUB_ACTOR=pytorchmergebot 2025-08-14T21:29:24.3505298Z PR_NUMBER= 2025-08-14T21:29:24.3505436Z DESIRED_CUDA= 2025-08-14T21:29:24.3505588Z GITHUB_RUN_ATTEMPT=1 2025-08-14T21:29:24.3505745Z VALGRIND=ON 2025-08-14T21:29:24.3505890Z ANACONDA_PYTHON_VERSION=3.9 2025-08-14T21:29:24.3506311Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-08-14T21:29:24.3506540Z TERM=vt100 2025-08-14T21:29:24.3506680Z INSTALLED_VISION=yes 2025-08-14T21:29:24.3506840Z BRANCH=main 2025-08-14T21:29:24.3506996Z SCCACHE_REGION=us-east-1 2025-08-14T21:29:24.3507170Z OPENSSL_ROOT_DIR=/opt/openssl 2025-08-14T21:29:24.3507356Z CUDA_PATH=/usr/local/cuda 2025-08-14T21:29:24.3507664Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-08-14T21:29:24.3507993Z GITHUB_SERVER_URL=https://github.com 2025-08-14T21:29:24.3508189Z UCC_COMMIT= 2025-08-14T21:29:24.3508334Z REENABLED_ISSUES= 2025-08-14T21:29:24.3508477Z DOCS=yes 2025-08-14T21:29:24.3508616Z SHLVL=1 2025-08-14T21:29:24.3508773Z MAX_JOBS=30 2025-08-14T21:29:24.3508915Z GITHUB_ACTOR_ID=97764156 2025-08-14T21:29:24.3509125Z GITHUB_WORKFLOW_SHA=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:29:24.3509358Z GITHUB_REF_NAME=main 2025-08-14T21:29:24.3509662Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-08-14T21:29:24.3509912Z GITHUB_JOB=test 2025-08-14T21:29:24.3510064Z NO_TEST_TIMEOUT=False 2025-08-14T21:29:24.3510224Z TD_DISTRIBUTED=False 2025-08-14T21:29:24.3510386Z GITHUB_REPOSITORY=pytorch/pytorch 2025-08-14T21:29:24.3510572Z GITHUB_RETENTION_DAYS=90 2025-08-14T21:29:24.3510740Z OPENSSL_DIR=/opt/openssl 2025-08-14T21:29:24.3510906Z GITHUB_ACTION_REPOSITORY= 2025-08-14T21:29:24.3511345Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.9/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-08-14T21:29:24.3511775Z GITHUB_BASE_REF= 2025-08-14T21:29:24.3511928Z INSTALLED_ACL= 2025-08-14T21:29:24.3512179Z ARTIFACTS_FILE_SUFFIX=test-cpu_inductor_torchbench-1-2-linux.8xlarge.amx_48128039099 2025-08-14T21:29:24.3512459Z CI=true 2025-08-14T21:29:24.3512608Z GITHUB_REPOSITORY_OWNER=pytorch 2025-08-14T21:29:24.3512831Z RUST_LOG=sccache::server=error 2025-08-14T21:29:24.3513003Z JOB_ID=48128039099 2025-08-14T21:29:24.3513154Z GITHUB_HEAD_REF= 2025-08-14T21:29:24.3513336Z GITHUB_ACTION_REF= 2025-08-14T21:29:24.3513523Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-08-14T21:29:24.3513738Z TEST_SHOWLOCALS=False 2025-08-14T21:29:24.3513893Z GITHUB_WORKFLOW=inductor 2025-08-14T21:29:24.3514070Z DEBIAN_FRONTEND=noninteractive 2025-08-14T21:29:24.3514423Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_f54b60b0-ba65-4313-9556-c95f4b2e7095 2025-08-14T21:29:24.3514767Z NO_TD=False 2025-08-14T21:29:24.3514914Z SKIP_SCCACHE_INITIALIZATION=1 2025-08-14T21:29:24.3515106Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-08-14T21:29:24.3515296Z _=/usr/bin/env 2025-08-14T21:29:24.3515439Z + echo 'Testing pytorch' 2025-08-14T21:29:24.3515606Z Testing pytorch 2025-08-14T21:29:24.3515779Z + export LANG=C.UTF-8 2025-08-14T21:29:24.3515928Z + LANG=C.UTF-8 2025-08-14T21:29:24.3516073Z + PR_NUMBER= 2025-08-14T21:29:24.3516242Z + [[ cpu_inductor_torchbench == \d\e\f\a\u\l\t ]] 2025-08-14T21:29:24.3516471Z + [[ cpu_inductor_torchbench == \d\i\s\t\r\i\b\u\t\e\d ]] 2025-08-14T21:29:24.3516696Z + [[ cpu_inductor_torchbench == \s\l\o\w ]] 2025-08-14T21:29:24.3516931Z + [[ linux-jammy-py3.9-gcc11-build == *slow-gradcheck* ]] 2025-08-14T21:29:24.3517166Z + [[ linux-jammy-py3.9-gcc11-build == *cuda* ]] 2025-08-14T21:29:24.3517387Z + [[ linux-jammy-py3.9-gcc11-build == *rocm* ]] 2025-08-14T21:29:24.3517607Z + [[ linux-jammy-py3.9-gcc11-build == *xpu* ]] 2025-08-14T21:29:24.3517818Z + [[ cpu_inductor_torchbench == *crossref* ]] 2025-08-14T21:29:24.3518023Z + [[ linux-jammy-py3.9-gcc11-build == *rocm* ]] 2025-08-14T21:29:24.3518236Z + [[ linux-jammy-py3.9-gcc11-build == *xpu* ]] 2025-08-14T21:29:24.3518459Z + [[ linux-jammy-py3.9-gcc11-build != *-bazel-* ]] 2025-08-14T21:29:24.3518665Z + pip_install ninja==1.10.2 2025-08-14T21:29:24.3518892Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-08-14T21:29:24.3519166Z + python3 -m pip install --progress-bar off ninja==1.10.2 2025-08-14T21:29:24.7177782Z Collecting ninja==1.10.2 2025-08-14T21:29:24.7315315Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB) 2025-08-14T21:29:24.7439987Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB) 2025-08-14T21:29:25.4297073Z Installing collected packages: ninja 2025-08-14T21:29:25.4299925Z Attempting uninstall: ninja 2025-08-14T21:29:25.4300349Z Found existing installation: ninja 1.11.1.3 2025-08-14T21:29:25.4320971Z Uninstalling ninja-1.11.1.3: 2025-08-14T21:29:25.4371277Z Successfully uninstalled ninja-1.11.1.3 2025-08-14T21:29:25.4842336Z Successfully installed ninja-1.10.2 2025-08-14T21:29:25.5808798Z + export PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.9/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-08-14T21:29:25.5813041Z + PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.9/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-08-14T21:29:25.5813663Z + [[ linux-jammy-py3.9-gcc11-build == *aarch64* ]] 2025-08-14T21:29:25.5813947Z + [[ linux-jammy-py3.9-gcc11-build == *asan* ]] 2025-08-14T21:29:25.5814219Z + [[ linux-jammy-py3.9-gcc11-build == *-debug* ]] 2025-08-14T21:29:25.5814480Z + [[ linux-jammy-py3.9-gcc11-build != *-bazel-* ]] 2025-08-14T21:29:25.5814847Z + echo 'We are not in debug mode: linux-jammy-py3.9-gcc11-build. Expect the assertion to pass' 2025-08-14T21:29:25.5815287Z We are not in debug mode: linux-jammy-py3.9-gcc11-build. Expect the assertion to pass 2025-08-14T21:29:25.5817632Z + cd test 2025-08-14T21:29:25.5818513Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)' 2025-08-14T21:29:26.6330663Z + [[ cpu_inductor_torchbench == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]] 2025-08-14T21:29:26.6331099Z + [[ cpu_inductor_torchbench == \n\o\g\p\u\_\A\V\X\5\1\2 ]] 2025-08-14T21:29:26.6333607Z + [[ cpu_inductor_torchbench == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]] 2025-08-14T21:29:26.6334274Z + DYNAMO_BENCHMARK_FLAGS=() 2025-08-14T21:29:26.6334565Z + [[ cpu_inductor_torchbench == *pr_time_benchmarks* ]] 2025-08-14T21:29:26.6334937Z + [[ cpu_inductor_torchbench == *dynamo_eager* ]] 2025-08-14T21:29:26.6336067Z + [[ cpu_inductor_torchbench == *aot_eager* ]] 2025-08-14T21:29:26.6336563Z + [[ cpu_inductor_torchbench == *aot_inductor* ]] 2025-08-14T21:29:26.6337275Z + [[ cpu_inductor_torchbench == *max_autotune_inductor* ]] 2025-08-14T21:29:26.6337618Z + [[ cpu_inductor_torchbench == *inductor* ]] 2025-08-14T21:29:26.6337862Z + [[ cpu_inductor_torchbench != *perf* ]] 2025-08-14T21:29:26.6338146Z + DYNAMO_BENCHMARK_FLAGS+=(--inductor) 2025-08-14T21:29:26.6338394Z + [[ cpu_inductor_torchbench == *dynamic* ]] 2025-08-14T21:29:26.6338630Z + [[ cpu_inductor_torchbench == *cpu* ]] 2025-08-14T21:29:26.6338866Z + DYNAMO_BENCHMARK_FLAGS+=(--device cpu) 2025-08-14T21:29:26.6571373Z + [[ linux-jammy-py3.9-gcc11-build == *libtorch* ]] 2025-08-14T21:29:26.6574363Z + [[ linux-jammy-py3.9-gcc11-build == *-bazel-* ]] 2025-08-14T21:29:26.6574630Z + cd test 2025-08-14T21:29:26.6574834Z + python -c 'import torch; print(torch.__config__.show())' 2025-08-14T21:29:27.5080469Z PyTorch built with: 2025-08-14T21:29:27.5084645Z - GCC 11.4 2025-08-14T21:29:27.5086508Z - C++ Version: 201703 2025-08-14T21:29:27.5086999Z - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-08-14T21:29:27.5091483Z - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-08-14T21:29:27.5095706Z - OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-08-14T21:29:27.5097601Z - LAPACK is enabled (usually provided by MKL) 2025-08-14T21:29:27.5097957Z - NNPACK is enabled 2025-08-14T21:29:27.5102888Z - CPU capability usage: AVX512 2025-08-14T21:29:27.5109452Z - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, COMMIT_SHA=1fc683cf17c8c673044538d10266c00f92987be2, CXX_COMPILER=/opt/cache/bin/c++, CXX_FLAGS= -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOCUPTI -DLIBKINETO_NOROCTRACER -DLIBKINETO_NOXPUPTI=ON -DUSE_FBGEMM -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -DC10_NODEPRECATED -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=range-loop-construct -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-unknown-pragmas -Wno-unused-parameter -Wno-strict-overflow -Wno-strict-aliasing -Wno-stringop-overflow -Wsuggest-override -Wno-psabi -Wno-error=old-style-cast -faligned-new -Werror -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, TORCH_VERSION=2.9.0, USE_CUDA=OFF, USE_CUDNN=OFF, USE_CUSPARSELT=OFF, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_GLOO=ON, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=OFF, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, USE_ROCM_KERNEL_ASSERT=OFF, USE_XCCL=OFF, USE_XPU=OFF, 2025-08-14T21:29:27.5112022Z 2025-08-14T21:29:27.6832285Z + cd test 2025-08-14T21:29:27.6836268Z + python -c 'import torch; print(torch.__config__.parallel_info())' 2025-08-14T21:29:28.5178539Z ATen/Parallel: 2025-08-14T21:29:28.5180274Z at::get_num_threads() : 16 2025-08-14T21:29:28.5180648Z at::get_num_interop_threads() : 16 2025-08-14T21:29:28.5185012Z OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-08-14T21:29:28.5188407Z omp_get_max_threads() : 16 2025-08-14T21:29:28.5192875Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-08-14T21:29:28.5197290Z mkl_get_max_threads() : 16 2025-08-14T21:29:28.5201172Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-08-14T21:29:28.5201656Z std::thread::hardware_concurrency() : 32 2025-08-14T21:29:28.5201952Z Environment variables: 2025-08-14T21:29:28.5202714Z OMP_NUM_THREADS : [not set] 2025-08-14T21:29:28.5207068Z MKL_NUM_THREADS : [not set] 2025-08-14T21:29:28.5209094Z ATen parallel backend: OpenMP 2025-08-14T21:29:28.5209353Z 2025-08-14T21:29:28.6898175Z + [[ cpu_inductor_torchbench == *numpy_2* ]] 2025-08-14T21:29:28.6898483Z + [[ linux-jammy-py3.9-gcc11-build == *aarch64* ]] 2025-08-14T21:29:28.6898729Z + [[ cpu_inductor_torchbench == *backward* ]] 2025-08-14T21:29:28.6898936Z + [[ cpu_inductor_torchbench == *xla* ]] 2025-08-14T21:29:28.6899148Z + [[ cpu_inductor_torchbench == *executorch* ]] 2025-08-14T21:29:28.6899381Z + [[ cpu_inductor_torchbench == \j\i\t\_\l\e\g\a\c\y ]] 2025-08-14T21:29:28.6899612Z + [[ linux-jammy-py3.9-gcc11-build == *libtorch* ]] 2025-08-14T21:29:28.6899948Z + [[ cpu_inductor_torchbench == distributed ]] 2025-08-14T21:29:28.6900191Z + [[ cpu_inductor_torchbench == *operator_benchmark* ]] 2025-08-14T21:29:28.6900446Z + [[ cpu_inductor_torchbench == *inductor_distributed* ]] 2025-08-14T21:29:28.6900692Z + [[ cpu_inductor_torchbench == *inductor-halide* ]] 2025-08-14T21:29:28.6900971Z + [[ cpu_inductor_torchbench == *inductor-triton-cpu* ]] 2025-08-14T21:29:28.6901251Z + [[ cpu_inductor_torchbench == *inductor-micro-benchmark* ]] 2025-08-14T21:29:28.6901497Z + [[ cpu_inductor_torchbench == *huggingface* ]] 2025-08-14T21:29:28.6901719Z + [[ cpu_inductor_torchbench == *timm* ]] 2025-08-14T21:29:28.6901930Z + [[ cpu_inductor_torchbench == cachebench ]] 2025-08-14T21:29:28.6902157Z + [[ cpu_inductor_torchbench == verify_cachebench ]] 2025-08-14T21:29:28.6902379Z + [[ cpu_inductor_torchbench == *torchbench* ]] 2025-08-14T21:29:28.6902580Z + install_torchaudio 2025-08-14T21:29:28.6902739Z + local commit 2025-08-14T21:29:28.6902898Z ++ get_pinned_commit audio 2025-08-14T21:29:28.6903080Z ++ cat .github/ci_commit_pins/audio.txt 2025-08-14T21:29:28.7363844Z + commit=bdb88e1d66f272cad72156c90ac8428ca61a601c 2025-08-14T21:29:28.7364393Z + pip_build_and_install git+https://github.com/pytorch/audio.git@bdb88e1d66f272cad72156c90ac8428ca61a601c dist/audio 2025-08-14T21:29:28.7367231Z + local build_target=git+https://github.com/pytorch/audio.git@bdb88e1d66f272cad72156c90ac8428ca61a601c 2025-08-14T21:29:28.7367642Z + local wheel_dir=dist/audio 2025-08-14T21:29:28.7372225Z + local found_whl=0 2025-08-14T21:29:28.7373713Z + for file in "${wheel_dir}"/*.whl 2025-08-14T21:29:28.7374060Z + [[ -f dist/audio/torchaudio-2.8.0a0+bdb88e1-cp39-cp39-linux_x86_64.whl ]] 2025-08-14T21:29:28.7374355Z + found_whl=1 2025-08-14T21:29:28.7374513Z + break 2025-08-14T21:29:28.7374650Z + '[' 1 == 0 ']' 2025-08-14T21:29:28.7374819Z + for file in "${wheel_dir}"/*.whl 2025-08-14T21:29:28.7375121Z + pip_install_whl dist/audio/torchaudio-2.8.0a0+bdb88e1-cp39-cp39-linux_x86_64.whl 2025-08-14T21:29:28.7375505Z + args=('dist/audio/torchaudio-2.8.0a0+bdb88e1-cp39-cp39-linux_x86_64.whl') 2025-08-14T21:29:28.7375768Z + local args 2025-08-14T21:29:28.7376018Z + [[ dist/audio/torchaudio-2.8.0a0+bdb88e1-cp39-cp39-linux_x86_64.whl == *\ * ]] 2025-08-14T21:29:28.7376314Z + for path in "${args[@]}" 2025-08-14T21:29:28.7376995Z + echo 'Installing dist/audio/torchaudio-2.8.0a0+bdb88e1-cp39-cp39-linux_x86_64.whl' 2025-08-14T21:29:28.7377406Z Installing dist/audio/torchaudio-2.8.0a0+bdb88e1-cp39-cp39-linux_x86_64.whl 2025-08-14T21:29:28.7377846Z + python3 -mpip install --no-index --no-deps dist/audio/torchaudio-2.8.0a0+bdb88e1-cp39-cp39-linux_x86_64.whl 2025-08-14T21:29:28.9945643Z Processing ./dist/audio/torchaudio-2.8.0a0+bdb88e1-cp39-cp39-linux_x86_64.whl 2025-08-14T21:29:29.0003290Z Installing collected packages: torchaudio 2025-08-14T21:29:29.3075096Z Successfully installed torchaudio-2.8.0a0+bdb88e1 2025-08-14T21:29:29.3448131Z + install_torchvision 2025-08-14T21:29:29.3449692Z + local orig_preload 2025-08-14T21:29:29.3450014Z + local commit 2025-08-14T21:29:29.3455867Z ++ get_pinned_commit vision 2025-08-14T21:29:29.3460769Z ++ cat .github/ci_commit_pins/vision.txt 2025-08-14T21:29:29.3465703Z + commit=966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-08-14T21:29:29.3467735Z + orig_preload= 2025-08-14T21:29:29.3468043Z + '[' -n '' ']' 2025-08-14T21:29:29.3472493Z + [[ linux-jammy-py3.9-gcc11-build == *cuda* ]] 2025-08-14T21:29:29.3477269Z + pip_build_and_install git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 dist/vision 2025-08-14T21:29:29.3479399Z + local build_target=git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-08-14T21:29:29.3484028Z + local wheel_dir=dist/vision 2025-08-14T21:29:29.3488894Z + local found_whl=0 2025-08-14T21:29:29.3490876Z + for file in "${wheel_dir}"/*.whl 2025-08-14T21:29:29.3491323Z + [[ -f dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl ]] 2025-08-14T21:29:29.3496089Z + found_whl=1 2025-08-14T21:29:29.3499909Z + break 2025-08-14T21:29:29.3500116Z + '[' 1 == 0 ']' 2025-08-14T21:29:29.3500302Z + for file in "${wheel_dir}"/*.whl 2025-08-14T21:29:29.3500618Z + pip_install_whl dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-08-14T21:29:29.3501020Z + args=('dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl') 2025-08-14T21:29:29.3501312Z + local args 2025-08-14T21:29:29.3501576Z + [[ dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl == *\ * ]] 2025-08-14T21:29:29.3501864Z + for path in "${args[@]}" 2025-08-14T21:29:29.3502153Z + echo 'Installing dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl' 2025-08-14T21:29:29.3502543Z Installing dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-08-14T21:29:29.3502975Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-08-14T21:29:29.6088371Z Processing ./dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-08-14T21:29:29.6153254Z Installing collected packages: torchvision 2025-08-14T21:29:30.1682593Z Successfully installed torchvision-0.22.0a0+966da7e 2025-08-14T21:29:30.2067440Z + '[' -n '' ']' 2025-08-14T21:29:30.2067795Z + id=0 2025-08-14T21:29:30.2074079Z + pip_install opencv-python==4.8.0.74 2025-08-14T21:29:30.2078628Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-08-14T21:29:30.2083096Z + python3 -m pip install --progress-bar off opencv-python==4.8.0.74 2025-08-14T21:29:30.5960925Z Collecting opencv-python==4.8.0.74 2025-08-14T21:29:30.6138099Z Downloading opencv_python-4.8.0.74-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (19 kB) 2025-08-14T21:29:30.6241643Z Requirement already satisfied: numpy>=1.17.0 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from opencv-python==4.8.0.74) (1.22.4) 2025-08-14T21:29:30.6320690Z Downloading opencv_python-4.8.0.74-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (61.7 MB) 2025-08-14T21:29:31.7875519Z Installing collected packages: opencv-python 2025-08-14T21:29:31.7877034Z Attempting uninstall: opencv-python 2025-08-14T21:29:31.7886722Z Found existing installation: opencv-python 4.11.0.86 2025-08-14T21:29:31.7941375Z Uninstalling opencv-python-4.11.0.86: 2025-08-14T21:29:31.8678186Z Successfully uninstalled opencv-python-4.11.0.86 2025-08-14T21:29:32.6309780Z Successfully installed opencv-python-4.8.0.74 2025-08-14T21:29:32.7334341Z + [[ cpu_inductor_torchbench == *inductor_torchbench_smoketest_perf* ]] 2025-08-14T21:29:32.7335678Z + [[ cpu_inductor_torchbench == *inductor_torchbench_cpu_smoketest_perf* ]] 2025-08-14T21:29:32.7336046Z + [[ cpu_inductor_torchbench == *torchbench_gcp_smoketest* ]] 2025-08-14T21:29:32.7336312Z + [[ cpu_inductor_torchbench != *cpu* ]] 2025-08-14T21:29:32.7336530Z + PYTHONPATH=/torchbench 2025-08-14T21:29:32.7336738Z + test_dynamo_benchmark torchbench 0 2025-08-14T21:29:32.7336938Z ++ pwd 2025-08-14T21:29:32.7337167Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-08-14T21:29:32.7337435Z + local suite=torchbench 2025-08-14T21:29:32.7337611Z + shift 2025-08-14T21:29:32.7337757Z + local shard_id=0 2025-08-14T21:29:32.7337917Z + shift 2025-08-14T21:29:32.7338097Z + [[ cpu_inductor_torchbench == *perf_compare* ]] 2025-08-14T21:29:32.7338325Z + [[ cpu_inductor_torchbench == *perf* ]] 2025-08-14T21:29:32.7338587Z + [[ cpu_inductor_torchbench == *cpu* ]] 2025-08-14T21:29:32.7339137Z + local dt=float32 2025-08-14T21:29:32.7339301Z + [[ cpu_inductor_torchbench == *amp* ]] 2025-08-14T21:29:32.7339516Z + [[ cpu_inductor_torchbench == *freezing* ]] 2025-08-14T21:29:32.7339934Z + test_single_dynamo_benchmark inference torchbench 0 --inference --float32 2025-08-14T21:29:32.7344900Z ++ pwd 2025-08-14T21:29:32.7345332Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-08-14T21:29:32.7345760Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports 2025-08-14T21:29:32.7369633Z + local name=inference 2025-08-14T21:29:32.7371259Z + shift 2025-08-14T21:29:32.7371628Z + local suite=torchbench 2025-08-14T21:29:32.7375215Z + shift 2025-08-14T21:29:32.7375438Z + local shard_id=0 2025-08-14T21:29:32.7375617Z + shift 2025-08-14T21:29:32.7375759Z + partition_flags=() 2025-08-14T21:29:32.7375947Z + local partition_flags 2025-08-14T21:29:32.7376128Z + [[ -n 2 ]] 2025-08-14T21:29:32.7376270Z + [[ -n 0 ]] 2025-08-14T21:29:32.7376560Z + partition_flags=(--total-partitions "$NUM_TEST_SHARDS" --partition-id "$shard_id") 2025-08-14T21:29:32.7376895Z + [[ cpu_inductor_torchbench == *perf_compare* ]] 2025-08-14T21:29:32.7377126Z + [[ cpu_inductor_torchbench == *perf* ]] 2025-08-14T21:29:32.7377335Z + [[ cpu_inductor_torchbench == *_avx2* ]] 2025-08-14T21:29:32.7377548Z + [[ cpu_inductor_torchbench == *_avx512* ]] 2025-08-14T21:29:32.7378249Z + python benchmarks/dynamo/torchbench.py --ci --accuracy --timing --explain --print-compilation-time --inductor --device cpu --inference --float32 --total-partitions 2 --partition-id 0 --output /var/lib/jenkins/workspace/test/test-reports/inference_torchbench.csv 2025-08-14T21:29:37.0403309Z 2025-08-14T21:29:38.3985383Z loading model: 0it [00:00, ?it/s] 2025-08-14T21:29:38.3989579Z loading model: 0it [00:01, ?it/s] 2025-08-14T21:29:38.4006758Z cpu eval BERT_pytorch 2025-08-14T21:29:38.7674480Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T21:29:38.9491100Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T21:29:39.1346841Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T21:29:46.8354866Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8359522Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8364105Z return mod(*inputs) 2025-08-14T21:29:46.8368731Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8370760Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8376403Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 44, in forward 2025-08-14T21:29:46.8378306Z mask = (x > 0).unsqueeze(1).repeat(1, x.size(1), 1).unsqueeze(1) 2025-08-14T21:29:46.8379885Z 2025-08-14T21:29:46.8380133Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8384715Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8388215Z return mod(*inputs) 2025-08-14T21:29:46.8392678Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8397277Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8402003Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 47, in forward 2025-08-14T21:29:46.8404084Z x = self.embedding(x, segment_info) 2025-08-14T21:29:46.8404615Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/embedding/bert.py", line 32, in forward 2025-08-14T21:29:46.8409619Z x = self.token(sequence) + self.position(sequence) + self.segment(segment_label) 2025-08-14T21:29:46.8412190Z 2025-08-14T21:29:46.8412668Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8413458Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8413799Z return mod(*inputs) 2025-08-14T21:29:46.8414239Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8414608Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8414953Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8415443Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8415794Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8416162Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8416526Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8416930Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8417330Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8417720Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8418115Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-08-14T21:29:46.8418486Z query, key, value = [ 2025-08-14T21:29:46.8418855Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-08-14T21:29:46.8419289Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-08-14T21:29:46.8419461Z 2025-08-14T21:29:46.8419569Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8420032Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8420354Z return mod(*inputs) 2025-08-14T21:29:46.8420683Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8421044Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8421373Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8421709Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8422047Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8422417Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8422802Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8423190Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8423576Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8424059Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8424475Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-08-14T21:29:46.8424846Z query, key, value = [ 2025-08-14T21:29:46.8425213Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-08-14T21:29:46.8425624Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-08-14T21:29:46.8425781Z 2025-08-14T21:29:46.8425895Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8426226Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8426532Z return mod(*inputs) 2025-08-14T21:29:46.8426850Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8427191Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8427510Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8427900Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8428243Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8428592Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8428951Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8429327Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8429694Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8430069Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8430462Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:29:46.8430885Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:29:46.8431288Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-08-14T21:29:46.8431719Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-08-14T21:29:46.8431917Z 2025-08-14T21:29:46.8432028Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8432377Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8432681Z return mod(*inputs) 2025-08-14T21:29:46.8432997Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8433343Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8433655Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8433991Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8434328Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8434679Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8435031Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8435407Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8435774Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8436137Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8436530Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:29:46.8436944Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:29:46.8437380Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-08-14T21:29:46.8437799Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-08-14T21:29:46.8438012Z 2025-08-14T21:29:46.8438113Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8438452Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8438767Z return mod(*inputs) 2025-08-14T21:29:46.8439076Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8439424Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8439740Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8440052Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8440390Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8440745Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8441130Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8441491Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8441853Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8442218Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8442592Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:29:46.8442993Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:29:46.8443386Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-08-14T21:29:46.8443801Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-08-14T21:29:46.8443994Z 2025-08-14T21:29:46.8444094Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8444429Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8444729Z return mod(*inputs) 2025-08-14T21:29:46.8445042Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8445372Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8445682Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8446009Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8446331Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8446678Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8447031Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8447400Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8447748Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8448112Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8448493Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-08-14T21:29:46.8448840Z query, key, value = [ 2025-08-14T21:29:46.8449172Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-08-14T21:29:46.8449573Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-08-14T21:29:46.8449726Z 2025-08-14T21:29:46.8449831Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8450188Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8450495Z return mod(*inputs) 2025-08-14T21:29:46.8450806Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8451151Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8451456Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8451775Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8452105Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8452446Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8452806Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8453177Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8453544Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8453950Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8454335Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:29:46.8454743Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:29:46.8455143Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-08-14T21:29:46.8455505Z return torch.matmul(p_attn, value), p_attn 2025-08-14T21:29:46.8455648Z 2025-08-14T21:29:46.8455748Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8456082Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8456376Z return mod(*inputs) 2025-08-14T21:29:46.8456692Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8457035Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8457344Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8457656Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8457985Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8458332Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8458675Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8459046Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8459406Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8459871Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8460276Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:29:46.8460702Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:29:46.8461139Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-08-14T21:29:46.8461551Z return torch.matmul(p_attn, value), p_attn 2025-08-14T21:29:46.8461691Z 2025-08-14T21:29:46.8461793Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8462149Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8462464Z return mod(*inputs) 2025-08-14T21:29:46.8462781Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8463131Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8463539Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8463870Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8464201Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8464559Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8464918Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8465294Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8465665Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8466034Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8466435Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-08-14T21:29:46.8466857Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-08-14T21:29:46.8467084Z 2025-08-14T21:29:46.8467190Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8467537Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8467855Z return mod(*inputs) 2025-08-14T21:29:46.8468173Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8468524Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8468842Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8469165Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8469504Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8469864Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8470231Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8470612Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8470991Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8471378Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8471767Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward 2025-08-14T21:29:46.8472137Z return self.output_linear(x) 2025-08-14T21:29:46.8472264Z 2025-08-14T21:29:46.8472366Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8472730Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8473039Z return mod(*inputs) 2025-08-14T21:29:46.8473360Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8473708Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8474042Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8474358Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8474689Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-08-14T21:29:46.8475037Z x = self.output_sublayer(x, self.feed_forward) 2025-08-14T21:29:46.8475384Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8475763Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8476143Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-08-14T21:29:46.8476536Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-08-14T21:29:46.8476696Z 2025-08-14T21:29:46.8476828Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8477170Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8477476Z return mod(*inputs) 2025-08-14T21:29:46.8477784Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8478124Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8478440Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8478758Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8479082Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-08-14T21:29:46.8479447Z x = self.output_sublayer(x, self.feed_forward) 2025-08-14T21:29:46.8479798Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8480165Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8480571Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-08-14T21:29:46.8480962Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-08-14T21:29:46.8481120Z 2025-08-14T21:29:46.8481227Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8481552Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8481856Z return mod(*inputs) 2025-08-14T21:29:46.8482172Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8482508Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8482811Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8483128Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8483461Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-08-14T21:29:46.8483803Z x = self.output_sublayer(x, self.feed_forward) 2025-08-14T21:29:46.8484152Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8484524Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8484900Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-08-14T21:29:46.8485282Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-08-14T21:29:46.8485447Z 2025-08-14T21:29:46.8485546Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8485878Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8486175Z return mod(*inputs) 2025-08-14T21:29:46.8486493Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8486836Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8487148Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8487461Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8487791Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8488140Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8488493Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8488859Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8489218Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8489584Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8489995Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-08-14T21:29:46.8490354Z query, key, value = [ 2025-08-14T21:29:46.8490697Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-08-14T21:29:46.8491098Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-08-14T21:29:46.8491250Z 2025-08-14T21:29:46.8491348Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8491681Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8491984Z return mod(*inputs) 2025-08-14T21:29:46.8492291Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8492627Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8492939Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8493285Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8493619Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8493970Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8494323Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8494687Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8495049Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8495415Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8495796Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-08-14T21:29:46.8496142Z query, key, value = [ 2025-08-14T21:29:46.8496491Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-08-14T21:29:46.8496891Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-08-14T21:29:46.8497042Z 2025-08-14T21:29:46.8497148Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8497474Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8497778Z return mod(*inputs) 2025-08-14T21:29:46.8498091Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8498426Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8498737Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8499059Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8499394Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8499819Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8500197Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8500583Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8500958Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8501331Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8501733Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:29:46.8502157Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:29:46.8502569Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-08-14T21:29:46.8503056Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-08-14T21:29:46.8503272Z 2025-08-14T21:29:46.8503378Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8503727Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8504033Z return mod(*inputs) 2025-08-14T21:29:46.8504355Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8504716Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8505031Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8505361Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8505703Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8506062Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8506699Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8507168Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8507540Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8507917Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8508305Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:29:46.8508724Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:29:46.8509131Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-08-14T21:29:46.8509556Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-08-14T21:29:46.8509762Z 2025-08-14T21:29:46.8509865Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8510225Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8510543Z return mod(*inputs) 2025-08-14T21:29:46.8510855Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8511206Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8511527Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8511847Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8512184Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8512540Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8512900Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8513295Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8513677Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8514043Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8514437Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:29:46.8514836Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:29:46.8515227Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-08-14T21:29:46.8515644Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-08-14T21:29:46.8515834Z 2025-08-14T21:29:46.8515943Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8516274Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8516622Z return mod(*inputs) 2025-08-14T21:29:46.8516941Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8517274Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8517586Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8517910Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8518237Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8518592Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8518946Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8519326Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8519680Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8520060Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8520476Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-08-14T21:29:46.8520826Z query, key, value = [ 2025-08-14T21:29:46.8521164Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-08-14T21:29:46.8521563Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-08-14T21:29:46.8521716Z 2025-08-14T21:29:46.8521821Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8522151Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8522453Z return mod(*inputs) 2025-08-14T21:29:46.8522767Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8523106Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8523412Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8523733Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8524064Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8524405Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8524755Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8525126Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8525484Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8525841Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8526225Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:29:46.8526639Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:29:46.8527033Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-08-14T21:29:46.8527385Z return torch.matmul(p_attn, value), p_attn 2025-08-14T21:29:46.8527526Z 2025-08-14T21:29:46.8527624Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8527958Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8528254Z return mod(*inputs) 2025-08-14T21:29:46.8528569Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8528909Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8529217Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8529529Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8529889Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8530254Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8530594Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8530965Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8531325Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8531688Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8532066Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:29:46.8532473Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:29:46.8532867Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-08-14T21:29:46.8533260Z return torch.matmul(p_attn, value), p_attn 2025-08-14T21:29:46.8533394Z 2025-08-14T21:29:46.8533493Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8533827Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8534131Z return mod(*inputs) 2025-08-14T21:29:46.8534436Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8534773Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8535082Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8535402Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8535725Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8536079Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8536444Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8536808Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8537172Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8537547Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8537930Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-08-14T21:29:46.8538332Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-08-14T21:29:46.8538517Z 2025-08-14T21:29:46.8538617Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8538953Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8539642Z return mod(*inputs) 2025-08-14T21:29:46.8540027Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8540375Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8540690Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8541007Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8541344Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8541696Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8542052Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8542415Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8542779Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8543178Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8543569Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward 2025-08-14T21:29:46.8543918Z return self.output_linear(x) 2025-08-14T21:29:46.8544043Z 2025-08-14T21:29:46.8544143Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8544478Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8544774Z return mod(*inputs) 2025-08-14T21:29:46.8545087Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8545425Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8545737Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8546050Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8546382Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-08-14T21:29:46.8547413Z x = self.output_sublayer(x, self.feed_forward) 2025-08-14T21:29:46.8547761Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8548137Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8548518Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-08-14T21:29:46.8548910Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-08-14T21:29:46.8549070Z 2025-08-14T21:29:46.8549170Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8549508Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8549813Z return mod(*inputs) 2025-08-14T21:29:46.8550131Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8550466Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8550776Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8551097Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8551420Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-08-14T21:29:46.8551768Z x = self.output_sublayer(x, self.feed_forward) 2025-08-14T21:29:46.8552121Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8552491Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8552860Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-08-14T21:29:46.8553250Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-08-14T21:29:46.8553408Z 2025-08-14T21:29:46.8553519Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8553841Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8554143Z return mod(*inputs) 2025-08-14T21:29:46.8554455Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8554796Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8555101Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8555422Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8555755Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-08-14T21:29:46.8556097Z x = self.output_sublayer(x, self.feed_forward) 2025-08-14T21:29:46.8556493Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8556869Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8557247Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-08-14T21:29:46.8557628Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-08-14T21:29:46.8557792Z 2025-08-14T21:29:46.8557891Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8558223Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8558526Z return mod(*inputs) 2025-08-14T21:29:46.8558832Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8559169Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8559480Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8559798Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8560160Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-08-14T21:29:46.8560515Z x = self.output_sublayer(x, self.feed_forward) 2025-08-14T21:29:46.8560866Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8561233Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8561394Z 2025-08-14T21:29:46.8561492Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8561824Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8562121Z return mod(*inputs) 2025-08-14T21:29:46.8562436Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8562777Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8563088Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8563404Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8563740Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8564090Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8564436Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8564811Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8565171Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8565540Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8565920Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-08-14T21:29:46.8566277Z query, key, value = [ 2025-08-14T21:29:46.8566633Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-08-14T21:29:46.8567038Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-08-14T21:29:46.8567192Z 2025-08-14T21:29:46.8567292Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8567630Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8567936Z return mod(*inputs) 2025-08-14T21:29:46.8568248Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8568593Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8568914Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8569238Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8569590Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8569943Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8570296Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8570662Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8571022Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8571386Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8571771Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-08-14T21:29:46.8572117Z query, key, value = [ 2025-08-14T21:29:46.8572461Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-08-14T21:29:46.8572858Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-08-14T21:29:46.8573039Z 2025-08-14T21:29:46.8573146Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8573473Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8573775Z return mod(*inputs) 2025-08-14T21:29:46.8574087Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8574419Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8574733Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8575052Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8575381Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8575722Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8576078Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8576453Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8576807Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8577171Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8577553Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:29:46.8577955Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:29:46.8578342Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-08-14T21:29:46.8578761Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-08-14T21:29:46.8578958Z 2025-08-14T21:29:46.8579059Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8579397Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8579761Z return mod(*inputs) 2025-08-14T21:29:46.8580089Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8580435Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8580741Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8581067Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8581403Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8581754Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8582103Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8582477Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8582928Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8583302Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8583684Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:29:46.8584093Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:29:46.8584489Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-08-14T21:29:46.8584902Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-08-14T21:29:46.8585104Z 2025-08-14T21:29:46.8585206Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8585541Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8585843Z return mod(*inputs) 2025-08-14T21:29:46.8586182Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8586528Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8586842Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8587153Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8587487Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8587838Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8588191Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8588554Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8588917Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8589286Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8589678Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:29:46.8590090Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:29:46.8590479Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-08-14T21:29:46.8590896Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-08-14T21:29:46.8591086Z 2025-08-14T21:29:46.8591188Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8591526Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8591831Z return mod(*inputs) 2025-08-14T21:29:46.8592143Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8592478Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8592795Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8593114Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8593439Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8593787Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8594140Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8594508Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8594875Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8595239Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8595652Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-08-14T21:29:46.8596010Z query, key, value = [ 2025-08-14T21:29:46.8596349Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-08-14T21:29:46.8596751Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-08-14T21:29:46.8596907Z 2025-08-14T21:29:46.8597014Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8597343Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8597646Z return mod(*inputs) 2025-08-14T21:29:46.8597960Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8598299Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8598602Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8598924Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8599296Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8599635Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8599991Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8600362Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8600732Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8601092Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8601478Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:29:46.8601880Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:29:46.8602276Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-08-14T21:29:46.8602635Z return torch.matmul(p_attn, value), p_attn 2025-08-14T21:29:46.8602774Z 2025-08-14T21:29:46.8602874Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8603209Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8603505Z return mod(*inputs) 2025-08-14T21:29:46.8603819Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8604159Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8604471Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8604784Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8605118Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8605464Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8605815Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8606322Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8606693Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8607062Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8607445Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:29:46.8607852Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:29:46.8608250Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-08-14T21:29:46.8608612Z return torch.matmul(p_attn, value), p_attn 2025-08-14T21:29:46.8608747Z 2025-08-14T21:29:46.8608900Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8609240Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8609545Z return mod(*inputs) 2025-08-14T21:29:46.8609850Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8610191Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8610502Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8610824Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8611146Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8611494Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8611846Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8612215Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8612618Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8612980Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8613365Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-08-14T21:29:46.8613769Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-08-14T21:29:46.8613953Z 2025-08-14T21:29:46.8614052Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8614385Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8614689Z return mod(*inputs) 2025-08-14T21:29:46.8615002Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8615341Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8615655Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8615968Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8616301Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8616651Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8617003Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8617369Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8617731Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8618094Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8618479Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward 2025-08-14T21:29:46.8618833Z return self.output_linear(x) 2025-08-14T21:29:46.8618956Z 2025-08-14T21:29:46.8619055Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8619389Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8619729Z return mod(*inputs) 2025-08-14T21:29:46.8620051Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8620391Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8620704Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8621017Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8621351Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-08-14T21:29:46.8621736Z x = self.output_sublayer(x, self.feed_forward) 2025-08-14T21:29:46.8622087Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8622460Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8622842Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-08-14T21:29:46.8623233Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-08-14T21:29:46.8623391Z 2025-08-14T21:29:46.8623493Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8623826Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8624125Z return mod(*inputs) 2025-08-14T21:29:46.8624429Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8624764Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8625074Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8625424Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8625747Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-08-14T21:29:46.8626095Z x = self.output_sublayer(x, self.feed_forward) 2025-08-14T21:29:46.8626446Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8626815Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8627184Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-08-14T21:29:46.8627571Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-08-14T21:29:46.8627727Z 2025-08-14T21:29:46.8627833Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8628162Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8628470Z return mod(*inputs) 2025-08-14T21:29:46.8628782Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8629122Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8629426Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8629746Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8630076Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-08-14T21:29:46.8630414Z x = self.output_sublayer(x, self.feed_forward) 2025-08-14T21:29:46.8630766Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8631140Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8631519Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-08-14T21:29:46.8631902Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-08-14T21:29:46.8632068Z 2025-08-14T21:29:46.8632169Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8632510Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8632814Z return mod(*inputs) 2025-08-14T21:29:46.8633127Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8633465Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8633776Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8634086Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8634417Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8634795Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8635155Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8635520Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8635883Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8636247Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8636627Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-08-14T21:29:46.8636979Z query, key, value = [ 2025-08-14T21:29:46.8637325Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-08-14T21:29:46.8637721Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-08-14T21:29:46.8637874Z 2025-08-14T21:29:46.8637975Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8638346Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8638646Z return mod(*inputs) 2025-08-14T21:29:46.8638953Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8639298Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8639611Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8639929Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8640250Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8640595Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8640945Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8641314Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8641672Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8642040Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8642423Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-08-14T21:29:46.8642765Z query, key, value = [ 2025-08-14T21:29:46.8643109Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-08-14T21:29:46.8643507Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-08-14T21:29:46.8643659Z 2025-08-14T21:29:46.8643767Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8644094Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8644398Z return mod(*inputs) 2025-08-14T21:29:46.8644713Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8645043Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8645356Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8645677Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8646006Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8646346Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8646698Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8647069Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8647461Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8647823Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8648210Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:29:46.8648622Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:29:46.8649010Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-08-14T21:29:46.8649432Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-08-14T21:29:46.8649633Z 2025-08-14T21:29:46.8649733Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8650070Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8650366Z return mod(*inputs) 2025-08-14T21:29:46.8650683Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8651092Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8651397Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8651717Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8652049Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8652397Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8652743Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8653116Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8653478Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8653845Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8654227Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:29:46.8654637Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:29:46.8655036Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-08-14T21:29:46.8655445Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-08-14T21:29:46.8655643Z 2025-08-14T21:29:46.8655743Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8656080Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8656385Z return mod(*inputs) 2025-08-14T21:29:46.8656690Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8657030Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8657347Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8657671Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8657997Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8658343Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8658694Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8659056Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8659418Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8659857Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8660248Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:29:46.8660682Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:29:46.8661082Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-08-14T21:29:46.8661502Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-08-14T21:29:46.8661694Z 2025-08-14T21:29:46.8661804Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8662130Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8662433Z return mod(*inputs) 2025-08-14T21:29:46.8662749Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8663080Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8663395Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8663717Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8664051Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8664430Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8664785Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8665160Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8665524Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8665892Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8666288Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-08-14T21:29:46.8666650Z query, key, value = [ 2025-08-14T21:29:46.8666986Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-08-14T21:29:46.8667386Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-08-14T21:29:46.8667541Z 2025-08-14T21:29:46.8667649Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8667984Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8668286Z return mod(*inputs) 2025-08-14T21:29:46.8668601Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8668954Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8669261Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8669593Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8669928Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8670277Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8670625Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8671005Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8671373Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8671730Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8672116Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:29:46.8672519Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:29:46.8672910Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-08-14T21:29:46.8673263Z return torch.matmul(p_attn, value), p_attn 2025-08-14T21:29:46.8673404Z 2025-08-14T21:29:46.8673504Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8673868Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8674172Z return mod(*inputs) 2025-08-14T21:29:46.8674477Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8674815Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8675126Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8675439Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8675771Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8676117Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8676469Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8676831Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8677194Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8677589Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8677967Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:29:46.8678370Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:29:46.8678764Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-08-14T21:29:46.8679123Z return torch.matmul(p_attn, value), p_attn 2025-08-14T21:29:46.8679256Z 2025-08-14T21:29:46.8679354Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8679690Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8679992Z return mod(*inputs) 2025-08-14T21:29:46.8680301Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8680647Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8680962Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8681282Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8681606Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8681956Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8682309Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8682674Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8683027Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8683395Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8683781Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-08-14T21:29:46.8684187Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-08-14T21:29:46.8684372Z 2025-08-14T21:29:46.8684470Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8684805Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8685109Z return mod(*inputs) 2025-08-14T21:29:46.8685413Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8685753Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8686061Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8686373Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8686733Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8687086Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8687439Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8687804Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8688168Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8688533Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8688920Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward 2025-08-14T21:29:46.8689271Z return self.output_linear(x) 2025-08-14T21:29:46.8689393Z 2025-08-14T21:29:46.8689491Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8689830Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8690162Z return mod(*inputs) 2025-08-14T21:29:46.8690482Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8690821Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8691136Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8691452Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8691787Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-08-14T21:29:46.8692139Z x = self.output_sublayer(x, self.feed_forward) 2025-08-14T21:29:46.8692488Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8692870Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8693255Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-08-14T21:29:46.8693654Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-08-14T21:29:46.8693812Z 2025-08-14T21:29:46.8693913Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8694250Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8694556Z return mod(*inputs) 2025-08-14T21:29:46.8694872Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8695208Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8695525Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8695847Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8696176Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-08-14T21:29:46.8696531Z x = self.output_sublayer(x, self.feed_forward) 2025-08-14T21:29:46.8696902Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8697279Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8697653Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-08-14T21:29:46.8698046Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-08-14T21:29:46.8698204Z 2025-08-14T21:29:46.8698313Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8698641Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8698946Z return mod(*inputs) 2025-08-14T21:29:46.8699261Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8699639Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8700028Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8700353Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8700693Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-08-14T21:29:46.8701041Z x = self.output_sublayer(x, self.feed_forward) 2025-08-14T21:29:46.8701405Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8701783Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8702172Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-08-14T21:29:46.8702561Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-08-14T21:29:46.8702728Z 2025-08-14T21:29:46.8702835Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8703209Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8703514Z return mod(*inputs) 2025-08-14T21:29:46.8703818Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8704156Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8704466Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8704775Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8705103Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-08-14T21:29:46.8705448Z x = self.output_sublayer(x, self.feed_forward) 2025-08-14T21:29:46.8705798Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8706294Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8706459Z 2025-08-14T21:29:46.8706559Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8706897Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8707196Z return mod(*inputs) 2025-08-14T21:29:46.8707510Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8707849Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8708166Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8708480Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8708813Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8709167Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8709515Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8709893Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8710255Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8710623Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8711006Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-08-14T21:29:46.8711367Z query, key, value = [ 2025-08-14T21:29:46.8711714Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-08-14T21:29:46.8712113Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-08-14T21:29:46.8712267Z 2025-08-14T21:29:46.8712366Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8712762Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8713074Z return mod(*inputs) 2025-08-14T21:29:46.8713384Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8713724Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8714036Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8714356Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8714680Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8715033Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8715390Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8715755Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8716120Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8716532Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8716919Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-08-14T21:29:46.8717265Z query, key, value = [ 2025-08-14T21:29:46.8717609Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-08-14T21:29:46.8718005Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-08-14T21:29:46.8718156Z 2025-08-14T21:29:46.8718264Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8718593Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8718899Z return mod(*inputs) 2025-08-14T21:29:46.8719214Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8719550Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8719861Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8720178Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8720507Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8720848Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8721200Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8721572Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8721931Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8722299Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8722682Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:29:46.8723091Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:29:46.8723479Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-08-14T21:29:46.8723893Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-08-14T21:29:46.8724092Z 2025-08-14T21:29:46.8724192Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8724526Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8724828Z return mod(*inputs) 2025-08-14T21:29:46.8725143Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8725484Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8725814Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8726140Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8726470Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8726851Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8727207Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8727583Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8727947Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8728307Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8728694Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:29:46.8729105Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:29:46.8729547Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-08-14T21:29:46.8729974Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-08-14T21:29:46.8730176Z 2025-08-14T21:29:46.8730278Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8730619Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8730924Z return mod(*inputs) 2025-08-14T21:29:46.8731231Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8731571Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8731884Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8732198Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8732536Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8732888Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8733242Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8733609Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8733975Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8734345Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8734733Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:29:46.8735132Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:29:46.8735531Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-08-14T21:29:46.8735954Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-08-14T21:29:46.8736145Z 2025-08-14T21:29:46.8736246Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8736587Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8736890Z return mod(*inputs) 2025-08-14T21:29:46.8737205Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8737536Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8737850Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8738173Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8738498Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8738875Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8739230Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8739618Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8740028Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8740398Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8740783Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-08-14T21:29:46.8741134Z query, key, value = [ 2025-08-14T21:29:46.8741473Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-08-14T21:29:46.8741872Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-08-14T21:29:46.8742025Z 2025-08-14T21:29:46.8742138Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8742506Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8742814Z return mod(*inputs) 2025-08-14T21:29:46.8743128Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8743472Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8743775Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8744096Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8744424Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8744767Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8745120Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8745496Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8745862Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8746222Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8746608Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:29:46.8747013Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:29:46.8747405Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-08-14T21:29:46.8747758Z return torch.matmul(p_attn, value), p_attn 2025-08-14T21:29:46.8747896Z 2025-08-14T21:29:46.8747996Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8748326Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8748625Z return mod(*inputs) 2025-08-14T21:29:46.8748939Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8749280Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8749588Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8749897Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8750225Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8750573Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8750917Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8751290Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8751650Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8752058Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8752437Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:29:46.8752840Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:29:46.8753231Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-08-14T21:29:46.8753592Z return torch.matmul(p_attn, value), p_attn 2025-08-14T21:29:46.8753726Z 2025-08-14T21:29:46.8753824Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8754166Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8754467Z return mod(*inputs) 2025-08-14T21:29:46.8754768Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8755109Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8755419Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8755766Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8756085Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8756430Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8756779Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8757139Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8757501Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8757861Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8758241Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-08-14T21:29:46.8758646Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-08-14T21:29:46.8758830Z 2025-08-14T21:29:46.8758929Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8759261Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8759563Z return mod(*inputs) 2025-08-14T21:29:46.8759869Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8760205Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8760517Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8760831Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8761165Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8761515Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8761871Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8762232Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8762592Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8762958Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8763337Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward 2025-08-14T21:29:46.8763694Z return self.output_linear(x) 2025-08-14T21:29:46.8763818Z 2025-08-14T21:29:46.8763916Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8764101Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8764172Z return mod(*inputs) 2025-08-14T21:29:46.8764412Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8764486Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8764688Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8764759Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8764970Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-08-14T21:29:46.8765056Z x = self.output_sublayer(x, self.feed_forward) 2025-08-14T21:29:46.8765268Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8765377Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8765601Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-08-14T21:29:46.8765715Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-08-14T21:29:46.8765755Z 2025-08-14T21:29:46.8765856Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8766039Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8766110Z return mod(*inputs) 2025-08-14T21:29:46.8766322Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8766390Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8766585Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8766656Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8766867Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-08-14T21:29:46.8766954Z x = self.output_sublayer(x, self.feed_forward) 2025-08-14T21:29:46.8767167Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8767279Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8767499Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-08-14T21:29:46.8767608Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-08-14T21:29:46.8767618Z 2025-08-14T21:29:46.8767716Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8767896Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8767965Z return mod(*inputs) 2025-08-14T21:29:46.8768176Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8768243Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8768443Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8768514Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8768724Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-08-14T21:29:46.8768808Z x = self.output_sublayer(x, self.feed_forward) 2025-08-14T21:29:46.8769018Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8769124Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8769344Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-08-14T21:29:46.8769449Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-08-14T21:29:46.8769453Z 2025-08-14T21:29:46.8769557Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8769737Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8769831Z return mod(*inputs) 2025-08-14T21:29:46.8770047Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8770115Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8770311Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8770381Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8770586Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8770674Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8770884Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8770990Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8771194Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8771300Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8771569Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-08-14T21:29:46.8771635Z query, key, value = [ 2025-08-14T21:29:46.8771877Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-08-14T21:29:46.8771980Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-08-14T21:29:46.8771984Z 2025-08-14T21:29:46.8772080Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8772269Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8772330Z return mod(*inputs) 2025-08-14T21:29:46.8772538Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8772618Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8772810Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8772888Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8773091Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8773175Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8773393Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8773492Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8773694Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8773802Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8774034Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-08-14T21:29:46.8774110Z query, key, value = [ 2025-08-14T21:29:46.8774345Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-08-14T21:29:46.8774447Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-08-14T21:29:46.8774451Z 2025-08-14T21:29:46.8774555Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8774736Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8774806Z return mod(*inputs) 2025-08-14T21:29:46.8775017Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8775085Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8775284Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8775355Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8775620Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8775715Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8775928Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8776038Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8776242Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8776345Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8776576Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:29:46.8776698Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:29:46.8776928Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-08-14T21:29:46.8777108Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-08-14T21:29:46.8777112Z 2025-08-14T21:29:46.8777212Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8777404Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8777468Z return mod(*inputs) 2025-08-14T21:29:46.8777685Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8777761Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8777954Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8778033Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8778242Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8778329Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8778555Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8778657Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8778862Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8778971Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8779200Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:29:46.8779326Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:29:46.8779548Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-08-14T21:29:46.8779758Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-08-14T21:29:46.8779767Z 2025-08-14T21:29:46.8779887Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8780076Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8780150Z return mod(*inputs) 2025-08-14T21:29:46.8780361Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8780431Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8780631Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8780703Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8780909Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8781002Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8781246Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8781358Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8781564Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8781666Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8781904Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:29:46.8782023Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:29:46.8782249Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-08-14T21:29:46.8782391Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-08-14T21:29:46.8782394Z 2025-08-14T21:29:46.8782495Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8782691Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8782785Z return mod(*inputs) 2025-08-14T21:29:46.8782999Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8783074Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8783269Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8783345Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8783551Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8783634Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8783855Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8783956Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8784170Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8784274Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8784505Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-08-14T21:29:46.8784580Z query, key, value = [ 2025-08-14T21:29:46.8784823Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-08-14T21:29:46.8784925Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-08-14T21:29:46.8784936Z 2025-08-14T21:29:46.8785035Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8785217Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8785285Z return mod(*inputs) 2025-08-14T21:29:46.8785501Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8785570Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8785769Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8785839Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8786046Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8786136Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8786350Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8786459Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8786666Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8786768Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8787037Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:29:46.8787161Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:29:46.8787386Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-08-14T21:29:46.8787471Z return torch.matmul(p_attn, value), p_attn 2025-08-14T21:29:46.8787475Z 2025-08-14T21:29:46.8787572Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8787766Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8787827Z return mod(*inputs) 2025-08-14T21:29:46.8788042Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8788117Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8788311Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8788423Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8788633Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8788719Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8788949Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8789051Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8789268Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8789371Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8789603Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:29:46.8789732Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:29:46.8789953Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-08-14T21:29:46.8790043Z return torch.matmul(p_attn, value), p_attn 2025-08-14T21:29:46.8790046Z 2025-08-14T21:29:46.8790152Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8790336Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8790406Z return mod(*inputs) 2025-08-14T21:29:46.8790618Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8790686Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8790884Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8790955Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8791163Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8791256Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8791468Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8791576Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8791781Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8791885Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8792119Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-08-14T21:29:46.8792248Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-08-14T21:29:46.8792251Z 2025-08-14T21:29:46.8792357Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8792568Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8792634Z return mod(*inputs) 2025-08-14T21:29:46.8792857Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8792926Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8793115Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8793194Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8793397Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8793488Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8793698Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8793798Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8794012Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8794142Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8794381Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward 2025-08-14T21:29:46.8794453Z return self.output_linear(x) 2025-08-14T21:29:46.8794456Z 2025-08-14T21:29:46.8794555Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8794744Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8794807Z return mod(*inputs) 2025-08-14T21:29:46.8795018Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8795094Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8795286Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8795366Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8795576Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-08-14T21:29:46.8795660Z x = self.output_sublayer(x, self.feed_forward) 2025-08-14T21:29:46.8795877Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8795978Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8796199Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-08-14T21:29:46.8796314Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-08-14T21:29:46.8796318Z 2025-08-14T21:29:46.8796415Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8796605Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8816437Z return mod(*inputs) 2025-08-14T21:29:46.8816843Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8816950Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8817187Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8817289Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8817541Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-08-14T21:29:46.8817651Z x = self.output_sublayer(x, self.feed_forward) 2025-08-14T21:29:46.8817958Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8818092Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8818356Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-08-14T21:29:46.8818635Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-08-14T21:29:46.8818647Z 2025-08-14T21:29:46.8818774Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8819018Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8819096Z return mod(*inputs) 2025-08-14T21:29:46.8819348Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8819441Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8819664Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8819886Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8820138Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-08-14T21:29:46.8820239Z x = self.output_sublayer(x, self.feed_forward) 2025-08-14T21:29:46.8820505Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8820707Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8820971Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-08-14T21:29:46.8821108Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-08-14T21:29:46.8821113Z 2025-08-14T21:29:46.8821231Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8821465Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8821540Z return mod(*inputs) 2025-08-14T21:29:46.8821785Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8821877Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8822104Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8822193Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8822442Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-08-14T21:29:46.8822541Z x = self.output_sublayer(x, self.feed_forward) 2025-08-14T21:29:46.8822797Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8822917Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8822922Z 2025-08-14T21:29:46.8823040Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8823240Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8823304Z return mod(*inputs) 2025-08-14T21:29:46.8823516Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8823601Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8823800Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8823881Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8824087Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8824172Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8824398Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8824498Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8824712Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8824821Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8825086Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-08-14T21:29:46.8825166Z query, key, value = [ 2025-08-14T21:29:46.8825408Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-08-14T21:29:46.8825518Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-08-14T21:29:46.8825529Z 2025-08-14T21:29:46.8825629Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8825814Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8825883Z return mod(*inputs) 2025-08-14T21:29:46.8826093Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8826161Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8826372Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8826446Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8826684Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8826776Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8826989Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8827096Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8827302Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8827408Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8827648Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-08-14T21:29:46.8827715Z query, key, value = [ 2025-08-14T21:29:46.8827965Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-08-14T21:29:46.8828072Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-08-14T21:29:46.8828076Z 2025-08-14T21:29:46.8828175Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8828368Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8828432Z return mod(*inputs) 2025-08-14T21:29:46.8828645Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8828722Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8828913Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8828993Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8829200Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8829285Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8829509Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8829609Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8829821Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8829926Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8830166Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:29:46.8830301Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:29:46.8830523Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-08-14T21:29:46.8830673Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-08-14T21:29:46.8830711Z 2025-08-14T21:29:46.8830813Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8831000Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8831073Z return mod(*inputs) 2025-08-14T21:29:46.8831287Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8831357Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8831555Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8831627Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8831834Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8831924Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8832143Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8832299Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8832516Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8832626Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8832876Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:29:46.8833005Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:29:46.8833249Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-08-14T21:29:46.8833401Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-08-14T21:29:46.8833405Z 2025-08-14T21:29:46.8833509Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8833714Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8833784Z return mod(*inputs) 2025-08-14T21:29:46.8834014Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8834087Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8834291Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8834374Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8834593Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8834681Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8834920Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8835021Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8835239Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8835349Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8835577Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:29:46.8835705Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:29:46.8835923Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-08-14T21:29:46.8836063Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-08-14T21:29:46.8836074Z 2025-08-14T21:29:46.8836173Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8836360Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8836430Z return mod(*inputs) 2025-08-14T21:29:46.8836679Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8836752Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8836955Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8837028Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8837258Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8837347Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8837572Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8837686Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8837906Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8838018Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8838307Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-08-14T21:29:46.8838378Z query, key, value = [ 2025-08-14T21:29:46.8838634Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-08-14T21:29:46.8838738Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-08-14T21:29:46.8838742Z 2025-08-14T21:29:46.8838839Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8839029Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8839091Z return mod(*inputs) 2025-08-14T21:29:46.8839310Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8839379Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8839573Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8839653Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8839861Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8839944Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8840163Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8840261Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8840473Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8840576Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8840803Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:29:46.8840932Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:29:46.8841165Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-08-14T21:29:46.8841251Z return torch.matmul(p_attn, value), p_attn 2025-08-14T21:29:46.8841261Z 2025-08-14T21:29:46.8841359Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8841544Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8841615Z return mod(*inputs) 2025-08-14T21:29:46.8841827Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8841896Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8842093Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8842162Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8842398Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8842485Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8842697Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8842806Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8843016Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8843119Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8843358Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:29:46.8843478Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:29:46.8843706Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-08-14T21:29:46.8843794Z return torch.matmul(p_attn, value), p_attn 2025-08-14T21:29:46.8843829Z 2025-08-14T21:29:46.8843929Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8844121Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8844184Z return mod(*inputs) 2025-08-14T21:29:46.8844403Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8844472Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8844663Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8844738Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8844945Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8845028Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8845248Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8845362Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8845568Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8845669Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8845902Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-08-14T21:29:46.8846033Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-08-14T21:29:46.8846037Z 2025-08-14T21:29:46.8846140Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8846326Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8846387Z return mod(*inputs) 2025-08-14T21:29:46.8846609Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8846680Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8846871Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8846948Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8847151Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8847239Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8847449Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8847549Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8847761Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8847891Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8848131Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward 2025-08-14T21:29:46.8848203Z return self.output_linear(x) 2025-08-14T21:29:46.8848207Z 2025-08-14T21:29:46.8848304Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8848491Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8848552Z return mod(*inputs) 2025-08-14T21:29:46.8848766Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8848841Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8849031Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8849109Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8849316Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-08-14T21:29:46.8849428Z x = self.output_sublayer(x, self.feed_forward) 2025-08-14T21:29:46.8849648Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8849750Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8849974Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-08-14T21:29:46.8850091Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-08-14T21:29:46.8850095Z 2025-08-14T21:29:46.8850192Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8850384Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8850445Z return mod(*inputs) 2025-08-14T21:29:46.8850655Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8850733Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8850924Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8851001Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8851209Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-08-14T21:29:46.8851292Z x = self.output_sublayer(x, self.feed_forward) 2025-08-14T21:29:46.8851512Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8851613Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8851834Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-08-14T21:29:46.8851951Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-08-14T21:29:46.8851954Z 2025-08-14T21:29:46.8852054Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8852248Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8852311Z return mod(*inputs) 2025-08-14T21:29:46.8852524Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8852601Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8852791Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8852863Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8853077Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-08-14T21:29:46.8853159Z x = self.output_sublayer(x, self.feed_forward) 2025-08-14T21:29:46.8853378Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8853506Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8853733Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-08-14T21:29:46.8853852Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-08-14T21:29:46.8853856Z 2025-08-14T21:29:46.8853951Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8854140Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8854202Z return mod(*inputs) 2025-08-14T21:29:46.8854415Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8854491Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8854682Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8854752Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8854968Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8855089Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8855308Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8855406Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8855609Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8855720Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8855947Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-08-14T21:29:46.8856012Z query, key, value = [ 2025-08-14T21:29:46.8856257Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-08-14T21:29:46.8856361Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-08-14T21:29:46.8856366Z 2025-08-14T21:29:46.8856469Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8856651Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8856712Z return mod(*inputs) 2025-08-14T21:29:46.8856930Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8856997Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8857195Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8857266Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8857476Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8857566Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8857779Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8857880Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8858092Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8858195Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8858431Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-08-14T21:29:46.8858496Z query, key, value = [ 2025-08-14T21:29:46.8858730Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-08-14T21:29:46.8858839Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-08-14T21:29:46.8858843Z 2025-08-14T21:29:46.8858938Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8859156Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8859222Z return mod(*inputs) 2025-08-14T21:29:46.8859438Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8859519Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8859795Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8859880Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8860114Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8860205Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8860446Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8860556Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8860781Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8860938Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8861180Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:29:46.8861307Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:29:46.8861539Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-08-14T21:29:46.8861686Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-08-14T21:29:46.8861689Z 2025-08-14T21:29:46.8861793Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8861978Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8862040Z return mod(*inputs) 2025-08-14T21:29:46.8862264Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8862336Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8862539Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8862610Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8862818Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8862910Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8863123Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8863222Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8863432Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8863536Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8863773Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:29:46.8863891Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:29:46.8864112Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-08-14T21:29:46.8864260Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-08-14T21:29:46.8864263Z 2025-08-14T21:29:46.8864361Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8864553Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8864615Z return mod(*inputs) 2025-08-14T21:29:46.8864826Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8864930Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8865128Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8865198Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8865412Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8865495Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8865717Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8865819Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8866026Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8866137Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8866369Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:29:46.8866524Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:29:46.8866756Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-08-14T21:29:46.8866894Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-08-14T21:29:46.8866897Z 2025-08-14T21:29:46.8867002Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8867186Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8867249Z return mod(*inputs) 2025-08-14T21:29:46.8867468Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8867537Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8867740Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8867814Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8868025Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8868118Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8868330Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8868431Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8868643Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8868744Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8868978Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-08-14T21:29:46.8869043Z query, key, value = [ 2025-08-14T21:29:46.8869282Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-08-14T21:29:46.8869393Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-08-14T21:29:46.8869397Z 2025-08-14T21:29:46.8869492Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8869683Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8869744Z return mod(*inputs) 2025-08-14T21:29:46.8869955Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8870032Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8870223Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8870293Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8870507Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8870619Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8870841Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8870943Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8871146Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8871255Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8871482Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:29:46.8871607Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:29:46.8871824Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-08-14T21:29:46.8871909Z return torch.matmul(p_attn, value), p_attn 2025-08-14T21:29:46.8871912Z 2025-08-14T21:29:46.8872017Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8872232Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8872296Z return mod(*inputs) 2025-08-14T21:29:46.8872514Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8872583Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8872781Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8872853Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8873059Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8873151Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8873367Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8873471Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8873682Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8873782Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8874023Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:29:46.8874141Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:29:46.8874358Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-08-14T21:29:46.8874449Z return torch.matmul(p_attn, value), p_attn 2025-08-14T21:29:46.8874453Z 2025-08-14T21:29:46.8874548Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8874741Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8874807Z return mod(*inputs) 2025-08-14T21:29:46.8875016Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8875091Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8875281Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8875353Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8875566Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8875649Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8875865Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8875965Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8876234Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8876349Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8876578Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-08-14T21:29:46.8876712Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-08-14T21:29:46.8876716Z 2025-08-14T21:29:46.8876811Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8876993Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8877061Z return mod(*inputs) 2025-08-14T21:29:46.8877274Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8877342Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8877541Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8877615Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8877857Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8877940Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8878151Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8878259Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8878464Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8878567Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8878805Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward 2025-08-14T21:29:46.8878877Z return self.output_linear(x) 2025-08-14T21:29:46.8878880Z 2025-08-14T21:29:46.8878985Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8879170Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8879232Z return mod(*inputs) 2025-08-14T21:29:46.8879450Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8879518Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8879715Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8879785Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8879990Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-08-14T21:29:46.8880080Z x = self.output_sublayer(x, self.feed_forward) 2025-08-14T21:29:46.8880291Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8880394Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8880628Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-08-14T21:29:46.8880738Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-08-14T21:29:46.8880742Z 2025-08-14T21:29:46.8880847Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8881029Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8881091Z return mod(*inputs) 2025-08-14T21:29:46.8881311Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8881379Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8881578Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8881648Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8881881Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-08-14T21:29:46.8881975Z x = self.output_sublayer(x, self.feed_forward) 2025-08-14T21:29:46.8882187Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8882287Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8882529Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-08-14T21:29:46.8882636Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-08-14T21:29:46.8882640Z 2025-08-14T21:29:46.8882743Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8882927Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8882988Z return mod(*inputs) 2025-08-14T21:29:46.8883208Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8883305Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8883496Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8883570Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8883776Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-08-14T21:29:46.8883866Z x = self.output_sublayer(x, self.feed_forward) 2025-08-14T21:29:46.8884076Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8884174Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8884405Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-08-14T21:29:46.8884512Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-08-14T21:29:46.8884518Z 2025-08-14T21:29:46.8884626Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8884807Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8884868Z return mod(*inputs) 2025-08-14T21:29:46.8885087Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8885153Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8885346Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8885423Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8885630Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-08-14T21:29:46.8885721Z x = self.output_sublayer(x, self.feed_forward) 2025-08-14T21:29:46.8885936Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8886038Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8886041Z 2025-08-14T21:29:46.8886145Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8886329Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8886391Z return mod(*inputs) 2025-08-14T21:29:46.8886609Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8886676Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8886874Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8886944Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8887147Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8887265Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8887481Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8887588Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8887791Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8887894Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8888127Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-08-14T21:29:46.8888192Z query, key, value = [ 2025-08-14T21:29:46.8888427Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-08-14T21:29:46.8888537Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-08-14T21:29:46.8888540Z 2025-08-14T21:29:46.8888639Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8888858Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8888920Z return mod(*inputs) 2025-08-14T21:29:46.8889133Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8889208Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8889400Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8889471Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8889682Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8889770Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8889982Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8890089Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8890298Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8890408Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8890636Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-08-14T21:29:46.8890701Z query, key, value = [ 2025-08-14T21:29:46.8890949Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-08-14T21:29:46.8891067Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-08-14T21:29:46.8891070Z 2025-08-14T21:29:46.8891174Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8891359Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8891420Z return mod(*inputs) 2025-08-14T21:29:46.8891640Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8891711Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8891902Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8891980Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8892188Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8892278Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8892491Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8892592Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8892804Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8892935Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8893165Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:29:46.8893295Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:29:46.8893514Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-08-14T21:29:46.8893664Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-08-14T21:29:46.8893668Z 2025-08-14T21:29:46.8893764Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8893950Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8894020Z return mod(*inputs) 2025-08-14T21:29:46.8894229Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8894307Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8894529Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8894600Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8894813Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8894894Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8895104Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8895213Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8895420Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8895527Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8895756Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:29:46.8895876Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:29:46.8896100Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-08-14T21:29:46.8896239Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-08-14T21:29:46.8896242Z 2025-08-14T21:29:46.8896347Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8896530Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8896593Z return mod(*inputs) 2025-08-14T21:29:46.8896810Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8896878Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8897068Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8897148Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8897358Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8897446Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8897658Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8897758Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8897969Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8898071Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8898298Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:29:46.8898423Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:29:46.8898675Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-08-14T21:29:46.8898826Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-08-14T21:29:46.8898830Z 2025-08-14T21:29:46.8898929Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8899113Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8899182Z return mod(*inputs) 2025-08-14T21:29:46.8899431Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8899512Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8899796Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8899881Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8900137Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8900274Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8900521Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8900644Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8900880Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8900998Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8901249Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-08-14T21:29:46.8901321Z query, key, value = [ 2025-08-14T21:29:46.8901591Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-08-14T21:29:46.8901706Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-08-14T21:29:46.8901713Z 2025-08-14T21:29:46.8901829Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8902029Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8902094Z return mod(*inputs) 2025-08-14T21:29:46.8902332Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8902407Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8902636Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8902722Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8902949Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8903050Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8903285Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8903398Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8903626Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8903736Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8903984Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:29:46.8904121Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:29:46.8904361Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-08-14T21:29:46.8904458Z return torch.matmul(p_attn, value), p_attn 2025-08-14T21:29:46.8904461Z 2025-08-14T21:29:46.8904565Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8904794Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8904872Z return mod(*inputs) 2025-08-14T21:29:46.8905103Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8905185Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8905393Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8905468Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8905699Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8905787Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8906019Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8906295Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8906533Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8906712Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8906969Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:29:46.8907101Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:29:46.8907352Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-08-14T21:29:46.8907441Z return torch.matmul(p_attn, value), p_attn 2025-08-14T21:29:46.8907445Z 2025-08-14T21:29:46.8907557Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8907784Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8907852Z return mod(*inputs) 2025-08-14T21:29:46.8908090Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8908167Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8908376Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8908459Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8908684Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8908783Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8909017Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8909127Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8909360Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8909471Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8909722Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-08-14T21:29:46.8909874Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-08-14T21:29:46.8909877Z 2025-08-14T21:29:46.8909983Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8910191Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8910258Z return mod(*inputs) 2025-08-14T21:29:46.8910487Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8910570Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8910779Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8910861Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8911983Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8912088Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8912327Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8912439Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8912669Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8912788Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8913035Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward 2025-08-14T21:29:46.8913122Z return self.output_linear(x) 2025-08-14T21:29:46.8913126Z 2025-08-14T21:29:46.8913233Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8913430Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8913512Z return mod(*inputs) 2025-08-14T21:29:46.8913783Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8913864Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8914071Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8914149Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8914377Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-08-14T21:29:46.8914468Z x = self.output_sublayer(x, self.feed_forward) 2025-08-14T21:29:46.8914709Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8914827Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8915073Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-08-14T21:29:46.8915202Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-08-14T21:29:46.8915206Z 2025-08-14T21:29:46.8915311Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8915514Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8915583Z return mod(*inputs) 2025-08-14T21:29:46.8915793Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8915861Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8916060Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8916130Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8916345Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-08-14T21:29:46.8916432Z x = self.output_sublayer(x, self.feed_forward) 2025-08-14T21:29:46.8916645Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8916753Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8916975Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-08-14T21:29:46.8917092Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-08-14T21:29:46.8917095Z 2025-08-14T21:29:46.8917192Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8917374Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8917442Z return mod(*inputs) 2025-08-14T21:29:46.8917652Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8917719Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8917947Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8918022Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8918234Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-08-14T21:29:46.8918317Z x = self.output_sublayer(x, self.feed_forward) 2025-08-14T21:29:46.8918528Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8918635Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8918856Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-08-14T21:29:46.8918964Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-08-14T21:29:46.8918974Z 2025-08-14T21:29:46.8919071Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8919257Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8919359Z return mod(*inputs) 2025-08-14T21:29:46.8919574Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8919642Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8919839Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8919909Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8920127Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8920210Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8920429Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8920530Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8920744Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8920848Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8921077Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-08-14T21:29:46.8921149Z query, key, value = [ 2025-08-14T21:29:46.8921386Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-08-14T21:29:46.8921494Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-08-14T21:29:46.8921497Z 2025-08-14T21:29:46.8921592Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8921775Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8921844Z return mod(*inputs) 2025-08-14T21:29:46.8922058Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8922128Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8922324Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8922392Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8922603Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8922685Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8922897Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8923004Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8923209Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8923320Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8923576Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-08-14T21:29:46.8923644Z query, key, value = [ 2025-08-14T21:29:46.8923886Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-08-14T21:29:46.8923987Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-08-14T21:29:46.8923990Z 2025-08-14T21:29:46.8924084Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8924273Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8924334Z return mod(*inputs) 2025-08-14T21:29:46.8924551Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8924620Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8924813Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8924920Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8925124Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8925207Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8925422Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8925520Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8925729Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8925831Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8926059Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:29:46.8926185Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:29:46.8926404Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-08-14T21:29:46.8926554Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-08-14T21:29:46.8926558Z 2025-08-14T21:29:46.8926655Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8926837Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8926904Z return mod(*inputs) 2025-08-14T21:29:46.8927114Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8927180Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8927378Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8927449Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8927662Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8927747Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8927958Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8928063Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8928268Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8928374Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8928600Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:29:46.8928720Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:29:46.8928948Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-08-14T21:29:46.8929157Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-08-14T21:29:46.8929163Z 2025-08-14T21:29:46.8929262Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8929452Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8929513Z return mod(*inputs) 2025-08-14T21:29:46.8929731Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8929799Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8929989Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8930066Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8930269Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8930351Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8930575Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8930707Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8930917Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8931018Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8931245Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:29:46.8931372Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:29:46.8931589Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-08-14T21:29:46.8931735Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-08-14T21:29:46.8931738Z 2025-08-14T21:29:46.8931836Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8932021Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8932091Z return mod(*inputs) 2025-08-14T21:29:46.8932302Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8932378Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8932569Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8932641Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8932851Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8932935Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8933146Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8933256Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8933462Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8933569Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8933797Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-08-14T21:29:46.8933862Z query, key, value = [ 2025-08-14T21:29:46.8934105Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-08-14T21:29:46.8934206Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-08-14T21:29:46.8934210Z 2025-08-14T21:29:46.8934307Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8934498Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8934559Z return mod(*inputs) 2025-08-14T21:29:46.8934806Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8934875Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8935067Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8935146Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8935353Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8935443Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8935654Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8935754Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8935965Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8936068Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8936326Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:29:46.8936451Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:29:46.8936668Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-08-14T21:29:46.8936757Z return torch.matmul(p_attn, value), p_attn 2025-08-14T21:29:46.8936760Z 2025-08-14T21:29:46.8936856Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8937041Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8937108Z return mod(*inputs) 2025-08-14T21:29:46.8937321Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8937391Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8937601Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8937670Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8937888Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8937971Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8938182Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8938292Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8938499Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8938608Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8938838Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:29:46.8938958Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:29:46.8939184Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-08-14T21:29:46.8939266Z return torch.matmul(p_attn, value), p_attn 2025-08-14T21:29:46.8939269Z 2025-08-14T21:29:46.8939365Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8939553Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8939613Z return mod(*inputs) 2025-08-14T21:29:46.8939901Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8939973Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8940163Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8940275Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8940485Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8940574Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8940782Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8940882Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8941094Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8941195Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8941420Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-08-14T21:29:46.8941555Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-08-14T21:29:46.8941559Z 2025-08-14T21:29:46.8941657Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8941885Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8941945Z return mod(*inputs) 2025-08-14T21:29:46.8942162Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8942237Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8942427Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8942497Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8942710Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8942791Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8943008Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8943109Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8943329Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8943436Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8943664Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward 2025-08-14T21:29:46.8943741Z return self.output_linear(x) 2025-08-14T21:29:46.8943745Z 2025-08-14T21:29:46.8943840Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8944023Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8944093Z return mod(*inputs) 2025-08-14T21:29:46.8944303Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8944370Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8944569Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8944639Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8944851Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-08-14T21:29:46.8944935Z x = self.output_sublayer(x, self.feed_forward) 2025-08-14T21:29:46.8945147Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8945256Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8945478Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-08-14T21:29:46.8945586Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-08-14T21:29:46.8945595Z 2025-08-14T21:29:46.8945691Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8945902Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8945976Z return mod(*inputs) 2025-08-14T21:29:46.8946187Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8946255Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8946454Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8946522Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8946733Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-08-14T21:29:46.8946816Z x = self.output_sublayer(x, self.feed_forward) 2025-08-14T21:29:46.8947026Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8947133Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8947357Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-08-14T21:29:46.8947494Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-08-14T21:29:46.8947505Z 2025-08-14T21:29:46.8947603Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8947786Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8947850Z return mod(*inputs) 2025-08-14T21:29:46.8948061Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8948129Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8948328Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8948398Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8948612Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-08-14T21:29:46.8948698Z x = self.output_sublayer(x, self.feed_forward) 2025-08-14T21:29:46.8948909Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8949015Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8949236Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-08-14T21:29:46.8949342Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-08-14T21:29:46.8949345Z 2025-08-14T21:29:46.8949447Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8949627Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8949693Z return mod(*inputs) 2025-08-14T21:29:46.8949905Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8949974Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8950171Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8950241Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8950444Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-08-14T21:29:46.8950534Z x = self.output_sublayer(x, self.feed_forward) 2025-08-14T21:29:46.8950757Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8950861Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8950865Z 2025-08-14T21:29:46.8950962Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8951144Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8951210Z return mod(*inputs) 2025-08-14T21:29:46.8951450Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8951527Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8951716Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8951784Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8951995Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8952077Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8952285Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8952390Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8952595Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8952706Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8952967Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-08-14T21:29:46.8953033Z query, key, value = [ 2025-08-14T21:29:46.8953278Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-08-14T21:29:46.8953380Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-08-14T21:29:46.8953384Z 2025-08-14T21:29:46.8953487Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8953667Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8953727Z return mod(*inputs) 2025-08-14T21:29:46.8953940Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8954008Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8954198Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8954276Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8954481Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8954570Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8954778Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8954877Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8955088Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8955189Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8955414Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-08-14T21:29:46.8955484Z query, key, value = [ 2025-08-14T21:29:46.8955720Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-08-14T21:29:46.8955828Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-08-14T21:29:46.8955831Z 2025-08-14T21:29:46.8955928Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8956114Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8956183Z return mod(*inputs) 2025-08-14T21:29:46.8956394Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8956468Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8956659Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8956728Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8956971Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8957059Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8957275Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8957381Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8957585Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8957692Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8957917Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:29:46.8958038Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:29:46.8958264Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-08-14T21:29:46.8958409Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-08-14T21:29:46.8958442Z 2025-08-14T21:29:46.8958547Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8958732Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8958793Z return mod(*inputs) 2025-08-14T21:29:46.8959011Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8959079Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8959268Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8959348Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8959554Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8959643Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8959858Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8959962Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8960172Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8960274Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8960504Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:29:46.8960631Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:29:46.8960849Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-08-14T21:29:46.8960996Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-08-14T21:29:46.8960999Z 2025-08-14T21:29:46.8961100Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8961288Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8961357Z return mod(*inputs) 2025-08-14T21:29:46.8961566Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8961639Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8961829Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8961899Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8962112Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8962195Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8962407Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8962555Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8962765Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8962873Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8963102Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:29:46.8963223Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:29:46.8963449Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-08-14T21:29:46.8963589Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-08-14T21:29:46.8963592Z 2025-08-14T21:29:46.8963698Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8963886Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8963977Z return mod(*inputs) 2025-08-14T21:29:46.8964192Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8964261Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8964451Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8964528Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8964731Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8964819Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8965029Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8965129Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8965350Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8965454Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8965680Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-08-14T21:29:46.8965751Z query, key, value = [ 2025-08-14T21:29:46.8965987Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-08-14T21:29:46.8966095Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-08-14T21:29:46.8966098Z 2025-08-14T21:29:46.8966195Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8966377Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8966445Z return mod(*inputs) 2025-08-14T21:29:46.8966654Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8966730Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8966921Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8966990Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8967201Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8967285Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8967494Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8967599Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8967803Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8967908Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8968192Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:29:46.8968313Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:29:46.8968536Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-08-14T21:29:46.8968618Z return torch.matmul(p_attn, value), p_attn 2025-08-14T21:29:46.8968621Z 2025-08-14T21:29:46.8968723Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8968905Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8968963Z return mod(*inputs) 2025-08-14T21:29:46.8969178Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8969245Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8969435Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8969513Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8969748Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8969838Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8970049Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8970149Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8970360Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8970459Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8970684Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:29:46.8970809Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:29:46.8971031Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-08-14T21:29:46.8971123Z return torch.matmul(p_attn, value), p_attn 2025-08-14T21:29:46.8971127Z 2025-08-14T21:29:46.8971222Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8971403Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8971474Z return mod(*inputs) 2025-08-14T21:29:46.8971686Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8971760Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8971951Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8972022Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8972234Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8972319Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8972533Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8972642Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8972850Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8972955Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8973183Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-08-14T21:29:46.8973312Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-08-14T21:29:46.8973315Z 2025-08-14T21:29:46.8973419Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8973602Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8973696Z return mod(*inputs) 2025-08-14T21:29:46.8973912Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8973979Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8974178Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8974249Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8974453Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8974544Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8974761Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8974869Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8975075Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8975207Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8975442Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward 2025-08-14T21:29:46.8975516Z return self.output_linear(x) 2025-08-14T21:29:46.8975520Z 2025-08-14T21:29:46.8975616Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8975808Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8975870Z return mod(*inputs) 2025-08-14T21:29:46.8976088Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8976157Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8976349Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8976426Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8976635Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-08-14T21:29:46.8976728Z x = self.output_sublayer(x, self.feed_forward) 2025-08-14T21:29:46.8976940Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8977040Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8977271Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-08-14T21:29:46.8977380Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-08-14T21:29:46.8977383Z 2025-08-14T21:29:46.8977479Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8977668Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8977728Z return mod(*inputs) 2025-08-14T21:29:46.8977948Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8978018Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8978208Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8978284Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8978491Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-08-14T21:29:46.8978573Z x = self.output_sublayer(x, self.feed_forward) 2025-08-14T21:29:46.8978790Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8978888Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8979117Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-08-14T21:29:46.8979252Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-08-14T21:29:46.8979258Z 2025-08-14T21:29:46.8979356Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8979546Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8979609Z return mod(*inputs) 2025-08-14T21:29:46.8979898Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8979972Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8980165Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8980244Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8980453Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-08-14T21:29:46.8980537Z x = self.output_sublayer(x, self.feed_forward) 2025-08-14T21:29:46.8980762Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8980902Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8981130Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-08-14T21:29:46.8981238Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-08-14T21:29:46.8981242Z 2025-08-14T21:29:46.8981338Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8981533Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8981594Z return mod(*inputs) 2025-08-14T21:29:46.8981813Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8981882Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8982075Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8982156Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8982362Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8982445Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8982669Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8982771Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8982982Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8983083Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8983310Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-08-14T21:29:46.8983382Z query, key, value = [ 2025-08-14T21:29:46.8983620Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-08-14T21:29:46.8983725Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-08-14T21:29:46.8983735Z 2025-08-14T21:29:46.8983831Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8984013Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8984083Z return mod(*inputs) 2025-08-14T21:29:46.8984294Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8984363Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8984561Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8984630Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8984843Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8984959Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8985173Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8985279Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8985483Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8985584Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8985822Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-08-14T21:29:46.8985886Z query, key, value = [ 2025-08-14T21:29:46.8986131Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-08-14T21:29:46.8986233Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-08-14T21:29:46.8986237Z 2025-08-14T21:29:46.8986335Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8986560Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8986621Z return mod(*inputs) 2025-08-14T21:29:46.8986833Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8986908Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8987096Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8987173Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8987375Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8987457Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8987675Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8987777Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8987993Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8988095Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8988324Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:29:46.8988454Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:29:46.8988675Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-08-14T21:29:46.8988819Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-08-14T21:29:46.8988829Z 2025-08-14T21:29:46.8988927Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8989111Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8989182Z return mod(*inputs) 2025-08-14T21:29:46.8989391Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8989460Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8989658Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8989728Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8989940Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8990023Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8990234Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8990343Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8990577Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8990685Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8990932Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:29:46.8991050Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:29:46.8991274Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-08-14T21:29:46.8991414Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-08-14T21:29:46.8991418Z 2025-08-14T21:29:46.8991516Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8991706Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8991767Z return mod(*inputs) 2025-08-14T21:29:46.8991987Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8992083Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8992274Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8992353Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8992557Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8992640Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8992859Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8992959Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8993170Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8993271Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8993499Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:29:46.8993626Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:29:46.8993844Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-08-14T21:29:46.8993991Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-08-14T21:29:46.8993994Z 2025-08-14T21:29:46.8994092Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8994276Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8994343Z return mod(*inputs) 2025-08-14T21:29:46.8994553Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8994621Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8994822Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8994893Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8995105Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8995187Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8995397Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8995504Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8995707Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8995807Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8996041Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-08-14T21:29:46.8996135Z query, key, value = [ 2025-08-14T21:29:46.8996382Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-08-14T21:29:46.8996484Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-08-14T21:29:46.8996488Z 2025-08-14T21:29:46.8996585Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8996774Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8996834Z return mod(*inputs) 2025-08-14T21:29:46.8997052Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8997118Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8997308Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8997385Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.8997595Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.8997707Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.8997927Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.8998028Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.8998240Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.8998341Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.8998572Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:29:46.8998696Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:29:46.8998922Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-08-14T21:29:46.8999008Z return torch.matmul(p_attn, value), p_attn 2025-08-14T21:29:46.8999019Z 2025-08-14T21:29:46.8999114Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.8999299Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.8999369Z return mod(*inputs) 2025-08-14T21:29:46.8999579Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.8999647Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.8999845Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.8999916Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.9000130Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.9000211Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.9000429Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.9000540Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.9000748Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.9000850Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.9001091Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:29:46.9001209Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:29:46.9001437Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-08-14T21:29:46.9001518Z return torch.matmul(p_attn, value), p_attn 2025-08-14T21:29:46.9001522Z 2025-08-14T21:29:46.9001619Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.9001843Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.9001909Z return mod(*inputs) 2025-08-14T21:29:46.9002128Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.9002195Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.9002386Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.9002464Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.9002671Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.9002754Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.9002976Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.9003079Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.9003332Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.9003435Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.9003663Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-08-14T21:29:46.9003798Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-08-14T21:29:46.9003802Z 2025-08-14T21:29:46.9003900Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.9004090Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.9004153Z return mod(*inputs) 2025-08-14T21:29:46.9004367Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.9004442Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.9004635Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.9004708Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.9004927Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:29:46.9005009Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:29:46.9005228Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.9005330Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.9005536Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:29:46.9005647Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:29:46.9005876Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward 2025-08-14T21:29:46.9005950Z return self.output_linear(x) 2025-08-14T21:29:46.9005962Z 2025-08-14T21:29:46.9006060Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.9006420Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.9006497Z return mod(*inputs) 2025-08-14T21:29:46.9006731Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.9006806Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.9007021Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.9007108Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.9007325Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-08-14T21:29:46.9007422Z x = self.output_sublayer(x, self.feed_forward) 2025-08-14T21:29:46.9007753Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.9007876Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.9008120Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-08-14T21:29:46.9008238Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-08-14T21:29:46.9008242Z 2025-08-14T21:29:46.9008354Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.9008553Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.9008625Z return mod(*inputs) 2025-08-14T21:29:46.9008857Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.9008930Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.9009148Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.9009269Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.9009492Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-08-14T21:29:46.9009590Z x = self.output_sublayer(x, self.feed_forward) 2025-08-14T21:29:46.9009820Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.9009935Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.9010178Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-08-14T21:29:46.9010294Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-08-14T21:29:46.9010297Z 2025-08-14T21:29:46.9010409Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.9010606Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.9010681Z return mod(*inputs) 2025-08-14T21:29:46.9010912Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.9010983Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.9011197Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.9011271Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.9011493Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-08-14T21:29:46.9011590Z x = self.output_sublayer(x, self.feed_forward) 2025-08-14T21:29:46.9011820Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.9011935Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.9012179Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-08-14T21:29:46.9012296Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-08-14T21:29:46.9012299Z 2025-08-14T21:29:46.9012411Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.9012608Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.9012680Z return mod(*inputs) 2025-08-14T21:29:46.9012912Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:29:46.9012985Z x = self.bert(x, segment_label) 2025-08-14T21:29:46.9013201Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:29:46.9013275Z x = transformer.forward(x, mask) 2025-08-14T21:29:46.9013497Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-08-14T21:29:46.9013594Z x = self.output_sublayer(x, self.feed_forward) 2025-08-14T21:29:46.9013859Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:29:46.9013977Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:29:46.9013981Z 2025-08-14T21:29:46.9014084Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.9014281Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.9014354Z return mod(*inputs) 2025-08-14T21:29:46.9014585Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 25, in forward 2025-08-14T21:29:46.9014679Z return self.next_sentence(x), self.mask_lm(x) 2025-08-14T21:29:46.9014916Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 42, in forward 2025-08-14T21:29:46.9015005Z return self.softmax(self.linear(x[:, 0])) 2025-08-14T21:29:46.9015009Z 2025-08-14T21:29:46.9015120Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:29:46.9015348Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:29:46.9015412Z return mod(*inputs) 2025-08-14T21:29:46.9015647Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 25, in forward 2025-08-14T21:29:46.9015739Z return self.next_sentence(x), self.mask_lm(x) 2025-08-14T21:29:46.9015973Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 61, in forward 2025-08-14T21:29:46.9016055Z return self.softmax(self.linear(x)) 2025-08-14T21:29:46.9016058Z 2025-08-14T21:30:01.4233054Z Compilation time (from dynamo_timed): 21.251979049 2025-08-14T21:30:01.4290617Z pass 2025-08-14T21:30:01.4293606Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T21:30:01.4294461Z TIMING: _recursive_pre_grad_passes:0.00709 _recursive_joint_graph_passes:0.42846 _recursive_post_grad_passes:0.14141 async_compile.wait:0.62478 code_gen:14.30987 inductor_compile:15.82472 backend_compile:18.95609 gc:0.00117 entire_frame_compile:21.25198 total_wall_time:21.25198 2025-08-14T21:30:01.4295420Z STATS: call_* op count: 543 | FakeTensor.__torch_dispatch__:5468 | FakeTensorMode.__torch_dispatch__:16892 | ProxyTorchDispatchMode.__torch_dispatch__:6310 2025-08-14T21:30:01.4295964Z Dynamo produced 1 graphs covering 543 ops with 0 graph breaks (0 unique) 2025-08-14T21:30:04.9322627Z 2025-08-14T21:30:07.5318170Z loading model: 0it [00:00, ?it/s] 2025-08-14T21:30:07.5322564Z loading model: 0it [00:02, ?it/s] 2025-08-14T21:30:07.5333383Z cpu eval Background_Matting 2025-08-14T21:30:07.5970260Z Compilation time (from dynamo_timed): 0 2025-08-14T21:30:07.5975043Z pass_due_to_skip 2025-08-14T21:30:07.5979554Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T21:30:07.5980165Z TIMING: total_wall_time:0 2025-08-14T21:30:07.5984699Z STATS: call_* op count: 0 2025-08-14T21:30:07.5987100Z Dynamo produced 0 graphs covering 0 ops with 0 graph breaks (0 unique) 2025-08-14T21:30:10.5182188Z 2025-08-14T21:30:12.0419072Z loading model: 0it [00:00, ?it/s] 2025-08-14T21:30:12.0419467Z loading model: 0it [00:01, ?it/s] 2025-08-14T21:30:12.0419910Z cpu eval LearningToPaint 2025-08-14T21:30:12.1134094Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T21:30:12.1380653Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T21:30:12.1595220Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T21:30:15.7879013Z cudagraph partition due to non gpu ops 2025-08-14T21:30:15.7880794Z cudagraph partition due to non gpu ops 2025-08-14T21:30:15.7886161Z cudagraph partition due to non gpu ops 2025-08-14T21:30:15.7890696Z cudagraph partition due to non gpu ops 2025-08-14T21:30:15.7892404Z cudagraph partition due to non gpu ops 2025-08-14T21:30:15.7892809Z cudagraph partition due to non gpu ops 2025-08-14T21:30:15.7893111Z cudagraph partition due to non gpu ops 2025-08-14T21:30:15.7893399Z cudagraph partition due to non gpu ops 2025-08-14T21:30:15.7893672Z cudagraph partition due to non gpu ops 2025-08-14T21:30:15.7893998Z cudagraph partition due to non gpu ops 2025-08-14T21:30:15.7894239Z cudagraph partition due to non gpu ops 2025-08-14T21:30:15.7894460Z cudagraph partition due to non gpu ops 2025-08-14T21:30:15.7894658Z cudagraph partition due to non gpu ops 2025-08-14T21:30:15.7894856Z cudagraph partition due to non gpu ops 2025-08-14T21:30:15.7895062Z cudagraph partition due to non gpu ops 2025-08-14T21:30:15.7895326Z cudagraph partition due to non gpu ops 2025-08-14T21:30:15.7895531Z cudagraph partition due to non gpu ops 2025-08-14T21:30:15.7895737Z cudagraph partition due to non gpu ops 2025-08-14T21:30:15.7895989Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:15.7896683Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:30:15.7897018Z return mod(*inputs) 2025-08-14T21:30:15.7897341Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 128, in forward 2025-08-14T21:30:15.7897704Z x = F.relu(self.bn1(self.conv1(x))) 2025-08-14T21:30:15.7897847Z 2025-08-14T21:30:15.7897954Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:15.7898312Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:30:15.7898627Z return mod(*inputs) 2025-08-14T21:30:15.7898945Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 128, in forward 2025-08-14T21:30:15.7899297Z x = F.relu(self.bn1(self.conv1(x))) 2025-08-14T21:30:15.7899421Z 2025-08-14T21:30:15.7899528Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:15.7899997Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:30:15.7900313Z return mod(*inputs) 2025-08-14T21:30:15.7900634Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward 2025-08-14T21:30:15.7900977Z x = self.layer1(x) 2025-08-14T21:30:15.7901291Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-08-14T21:30:15.7901637Z out = F.relu(self.bn1(self.conv1(x))) 2025-08-14T21:30:15.7901769Z 2025-08-14T21:30:15.7901877Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:15.7902254Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:30:15.7902559Z return mod(*inputs) 2025-08-14T21:30:15.7902866Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward 2025-08-14T21:30:15.7903185Z x = self.layer1(x) 2025-08-14T21:30:15.7903489Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-08-14T21:30:15.7903822Z out = F.relu(self.bn1(self.conv1(x))) 2025-08-14T21:30:15.7903949Z 2025-08-14T21:30:15.7904051Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:15.7904379Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:30:15.7904678Z return mod(*inputs) 2025-08-14T21:30:15.7904975Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward 2025-08-14T21:30:15.7905291Z x = self.layer1(x) 2025-08-14T21:30:15.7905593Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward 2025-08-14T21:30:15.7905920Z out = self.bn2(self.conv2(out)) 2025-08-14T21:30:15.7906041Z 2025-08-14T21:30:15.7906357Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:15.7906776Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:30:15.7907088Z return mod(*inputs) 2025-08-14T21:30:15.7907397Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward 2025-08-14T21:30:15.7907717Z x = self.layer1(x) 2025-08-14T21:30:15.7908018Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 56, in forward 2025-08-14T21:30:15.7908351Z out += self.shortcut(x) 2025-08-14T21:30:15.7908464Z 2025-08-14T21:30:15.7908570Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:15.7908908Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:30:15.7909215Z return mod(*inputs) 2025-08-14T21:30:15.7909525Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward 2025-08-14T21:30:15.7909845Z x = self.layer1(x) 2025-08-14T21:30:15.7910153Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-08-14T21:30:15.7910544Z out = F.relu(self.bn1(self.conv1(x))) 2025-08-14T21:30:15.7910670Z 2025-08-14T21:30:15.7910773Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:15.7911097Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:30:15.7911393Z return mod(*inputs) 2025-08-14T21:30:15.7911691Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward 2025-08-14T21:30:15.7912002Z x = self.layer1(x) 2025-08-14T21:30:15.7912298Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-08-14T21:30:15.7912625Z out = F.relu(self.bn1(self.conv1(x))) 2025-08-14T21:30:15.7912749Z 2025-08-14T21:30:15.7912852Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:15.7913184Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:30:15.7913487Z return mod(*inputs) 2025-08-14T21:30:15.7913784Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward 2025-08-14T21:30:15.7914091Z x = self.layer1(x) 2025-08-14T21:30:15.7914385Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward 2025-08-14T21:30:15.7914707Z out = self.bn2(self.conv2(out)) 2025-08-14T21:30:15.7914827Z 2025-08-14T21:30:15.7914928Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:15.7915248Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:30:15.7915544Z return mod(*inputs) 2025-08-14T21:30:15.7915841Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward 2025-08-14T21:30:15.7916152Z x = self.layer1(x) 2025-08-14T21:30:15.7916450Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 57, in forward 2025-08-14T21:30:15.7916767Z out = F.relu(out) 2025-08-14T21:30:15.7916860Z 2025-08-14T21:30:15.7916961Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:15.7917285Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:30:15.7917581Z return mod(*inputs) 2025-08-14T21:30:15.7917876Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward 2025-08-14T21:30:15.7918186Z x = self.layer2(x) 2025-08-14T21:30:15.7918481Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-08-14T21:30:15.7918810Z out = F.relu(self.bn1(self.conv1(x))) 2025-08-14T21:30:15.7918933Z 2025-08-14T21:30:15.7919033Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:15.7919384Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:30:15.7919689Z return mod(*inputs) 2025-08-14T21:30:15.7919986Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward 2025-08-14T21:30:15.7920296Z x = self.layer2(x) 2025-08-14T21:30:15.7920591Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-08-14T21:30:15.7920915Z out = F.relu(self.bn1(self.conv1(x))) 2025-08-14T21:30:15.7921039Z 2025-08-14T21:30:15.7921138Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:15.7921460Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:30:15.7921758Z return mod(*inputs) 2025-08-14T21:30:15.7922056Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward 2025-08-14T21:30:15.7922366Z x = self.layer2(x) 2025-08-14T21:30:15.7922661Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward 2025-08-14T21:30:15.7923016Z out = self.bn2(self.conv2(out)) 2025-08-14T21:30:15.7923136Z 2025-08-14T21:30:15.7923237Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:15.7923562Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:30:15.7923858Z return mod(*inputs) 2025-08-14T21:30:15.7924157Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward 2025-08-14T21:30:15.7924467Z x = self.layer2(x) 2025-08-14T21:30:15.7924762Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 56, in forward 2025-08-14T21:30:15.7925083Z out += self.shortcut(x) 2025-08-14T21:30:15.7925191Z 2025-08-14T21:30:15.7925293Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:15.7925613Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:30:15.7925916Z return mod(*inputs) 2025-08-14T21:30:15.7926217Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward 2025-08-14T21:30:15.7926529Z x = self.layer2(x) 2025-08-14T21:30:15.7926825Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-08-14T21:30:15.7927155Z out = F.relu(self.bn1(self.conv1(x))) 2025-08-14T21:30:15.7927278Z 2025-08-14T21:30:15.7927379Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:15.7927704Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:30:15.7928001Z return mod(*inputs) 2025-08-14T21:30:15.7928298Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward 2025-08-14T21:30:15.7928611Z x = self.layer2(x) 2025-08-14T21:30:15.7928911Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-08-14T21:30:15.7929238Z out = F.relu(self.bn1(self.conv1(x))) 2025-08-14T21:30:15.7929362Z 2025-08-14T21:30:15.7929462Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:15.7929788Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:30:15.7930090Z return mod(*inputs) 2025-08-14T21:30:15.7930387Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward 2025-08-14T21:30:15.7930694Z x = self.layer2(x) 2025-08-14T21:30:15.7930992Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward 2025-08-14T21:30:15.7931319Z out = self.bn2(self.conv2(out)) 2025-08-14T21:30:15.7931436Z 2025-08-14T21:30:15.7931539Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:15.7931861Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:30:15.7932187Z return mod(*inputs) 2025-08-14T21:30:15.7932487Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward 2025-08-14T21:30:15.7932795Z x = self.layer2(x) 2025-08-14T21:30:15.7933094Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 57, in forward 2025-08-14T21:30:15.7933414Z out = F.relu(out) 2025-08-14T21:30:15.7933507Z 2025-08-14T21:30:15.7933608Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:15.7933936Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:30:15.7934233Z return mod(*inputs) 2025-08-14T21:30:15.7934531Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward 2025-08-14T21:30:15.7934844Z x = self.layer3(x) 2025-08-14T21:30:15.7935140Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-08-14T21:30:15.7935476Z out = F.relu(self.bn1(self.conv1(x))) 2025-08-14T21:30:15.7935630Z 2025-08-14T21:30:15.7935732Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:15.7936055Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:30:15.7936354Z return mod(*inputs) 2025-08-14T21:30:15.7936657Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward 2025-08-14T21:30:15.7936968Z x = self.layer3(x) 2025-08-14T21:30:15.7937267Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-08-14T21:30:15.7937599Z out = F.relu(self.bn1(self.conv1(x))) 2025-08-14T21:30:15.7937722Z 2025-08-14T21:30:15.7937825Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:15.7938152Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:30:15.7938455Z return mod(*inputs) 2025-08-14T21:30:15.7938763Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward 2025-08-14T21:30:15.7939078Z x = self.layer3(x) 2025-08-14T21:30:15.7939390Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward 2025-08-14T21:30:15.7939823Z out = self.bn2(self.conv2(out)) 2025-08-14T21:30:15.7939952Z 2025-08-14T21:30:15.7940063Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:15.7940411Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:30:15.7940738Z return mod(*inputs) 2025-08-14T21:30:15.7941095Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward 2025-08-14T21:30:15.7941433Z x = self.layer3(x) 2025-08-14T21:30:15.7941755Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 56, in forward 2025-08-14T21:30:15.7942108Z out += self.shortcut(x) 2025-08-14T21:30:15.7942223Z 2025-08-14T21:30:15.7942331Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:15.7942677Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:30:15.7942998Z return mod(*inputs) 2025-08-14T21:30:15.7943323Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward 2025-08-14T21:30:15.7943657Z x = self.layer3(x) 2025-08-14T21:30:15.7943984Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-08-14T21:30:15.7944334Z out = F.relu(self.bn1(self.conv1(x))) 2025-08-14T21:30:15.7944466Z 2025-08-14T21:30:15.7944573Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:15.7944958Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:30:15.7945272Z return mod(*inputs) 2025-08-14T21:30:15.7945631Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward 2025-08-14T21:30:15.7945973Z x = self.layer3(x) 2025-08-14T21:30:15.7946279Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-08-14T21:30:15.7946626Z out = F.relu(self.bn1(self.conv1(x))) 2025-08-14T21:30:15.7946763Z 2025-08-14T21:30:15.7946865Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:15.7947216Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:30:15.7947526Z return mod(*inputs) 2025-08-14T21:30:15.7947842Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward 2025-08-14T21:30:15.7948178Z x = self.layer3(x) 2025-08-14T21:30:15.7948479Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward 2025-08-14T21:30:15.7948822Z out = self.bn2(self.conv2(out)) 2025-08-14T21:30:15.7948955Z 2025-08-14T21:30:15.7949102Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:15.7949448Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:30:15.7949755Z return mod(*inputs) 2025-08-14T21:30:15.7950048Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward 2025-08-14T21:30:15.7950363Z x = self.layer3(x) 2025-08-14T21:30:15.7950648Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 57, in forward 2025-08-14T21:30:15.7950964Z out = F.relu(out) 2025-08-14T21:30:15.7951061Z 2025-08-14T21:30:15.7951155Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:15.7951482Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:30:15.7951776Z return mod(*inputs) 2025-08-14T21:30:15.7952074Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward 2025-08-14T21:30:15.7952395Z x = self.layer4(x) 2025-08-14T21:30:15.7952680Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-08-14T21:30:15.7953006Z out = F.relu(self.bn1(self.conv1(x))) 2025-08-14T21:30:15.7953137Z 2025-08-14T21:30:15.7953232Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:15.7953561Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:30:15.7953850Z return mod(*inputs) 2025-08-14T21:30:15.7954146Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward 2025-08-14T21:30:15.7954463Z x = self.layer4(x) 2025-08-14T21:30:15.7954748Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-08-14T21:30:15.7955075Z out = F.relu(self.bn1(self.conv1(x))) 2025-08-14T21:30:15.7955204Z 2025-08-14T21:30:15.7955302Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:15.7955636Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:30:15.7955928Z return mod(*inputs) 2025-08-14T21:30:15.7956225Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward 2025-08-14T21:30:15.7956541Z x = self.layer4(x) 2025-08-14T21:30:15.7956827Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward 2025-08-14T21:30:15.7957146Z out = self.bn2(self.conv2(out)) 2025-08-14T21:30:15.7957269Z 2025-08-14T21:30:15.7957363Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:15.7957691Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:30:15.7957979Z return mod(*inputs) 2025-08-14T21:30:15.7958305Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward 2025-08-14T21:30:15.7958630Z x = self.layer4(x) 2025-08-14T21:30:15.7958917Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 56, in forward 2025-08-14T21:30:15.7959237Z out += self.shortcut(x) 2025-08-14T21:30:15.7959352Z 2025-08-14T21:30:15.7959446Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:15.7959776Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:30:15.7960071Z return mod(*inputs) 2025-08-14T21:30:15.7960371Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward 2025-08-14T21:30:15.7960688Z x = self.layer4(x) 2025-08-14T21:30:15.7960972Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-08-14T21:30:15.7961299Z out = F.relu(self.bn1(self.conv1(x))) 2025-08-14T21:30:15.7961429Z 2025-08-14T21:30:15.7961528Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:15.7961893Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:30:15.7962182Z return mod(*inputs) 2025-08-14T21:30:15.7962480Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward 2025-08-14T21:30:15.7962802Z x = self.layer4(x) 2025-08-14T21:30:15.7963087Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-08-14T21:30:15.7963414Z out = F.relu(self.bn1(self.conv1(x))) 2025-08-14T21:30:15.7963696Z 2025-08-14T21:30:15.7963797Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:15.7964134Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:30:15.7964425Z return mod(*inputs) 2025-08-14T21:30:15.7964727Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward 2025-08-14T21:30:15.7965050Z x = self.layer4(x) 2025-08-14T21:30:15.7965342Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward 2025-08-14T21:30:15.7965674Z out = self.bn2(self.conv2(out)) 2025-08-14T21:30:15.7965799Z 2025-08-14T21:30:15.7965895Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:15.7966230Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:30:15.7966524Z return mod(*inputs) 2025-08-14T21:30:15.7966825Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward 2025-08-14T21:30:15.7967146Z x = self.layer4(x) 2025-08-14T21:30:15.7967434Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 57, in forward 2025-08-14T21:30:15.7967752Z out = F.relu(out) 2025-08-14T21:30:15.7967853Z 2025-08-14T21:30:15.7967947Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:15.7968282Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:30:15.7968576Z return mod(*inputs) 2025-08-14T21:30:15.7968876Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 133, in forward 2025-08-14T21:30:15.7969203Z x = F.avg_pool2d(x, 4) 2025-08-14T21:30:15.7969309Z 2025-08-14T21:30:15.7969411Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:15.7969736Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:30:15.7970037Z return mod(*inputs) 2025-08-14T21:30:15.7970334Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 135, in forward 2025-08-14T21:30:15.7970644Z x = self.fc(x) 2025-08-14T21:30:15.7970741Z 2025-08-14T21:30:15.7970834Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:15.7971200Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:30:15.7971504Z return mod(*inputs) 2025-08-14T21:30:15.7971797Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 136, in forward 2025-08-14T21:30:15.7972117Z x = torch.sigmoid(x) 2025-08-14T21:30:15.7972219Z 2025-08-14T21:30:22.8140533Z Compilation time (from dynamo_timed): 9.89286188 2025-08-14T21:30:22.8140913Z pass 2025-08-14T21:30:22.8145444Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T21:30:22.8147603Z TIMING: _recursive_pre_grad_passes:0.00442 _recursive_joint_graph_passes:0.12678 _recursive_post_grad_passes:0.04485 async_compile.wait:0.58087 code_gen:6.78086 inductor_compile:7.28949 backend_compile:8.6305 gc:0.00069 entire_frame_compile:9.89286 total_wall_time:9.89286 2025-08-14T21:30:22.8148621Z STATS: call_* op count: 71 | FakeTensorMode.__torch_dispatch__:4476 | FakeTensor.__torch_dispatch__:2400 | ProxyTorchDispatchMode.__torch_dispatch__:1906 2025-08-14T21:30:22.8150031Z Dynamo produced 1 graphs covering 71 ops with 0 graph breaks (0 unique) 2025-08-14T21:30:26.3476428Z 2025-08-14T21:30:27.1714306Z loading model: 0it [00:00, ?it/s]Downloading: "https://download.pytorch.org/models/vgg16-397923af.pth" to /var/lib/jenkins/.cache/torch/hub/checkpoints/vgg16-397923af.pth 2025-08-14T21:30:27.1848904Z 2025-08-14T21:30:27.1851029Z 2025-08-14T21:30:27.2852022Z 0% 0.00/528M [00:00 2025-08-14T21:54:52.5671897Z _x: List[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)] 2025-08-14T21:54:52.5672087Z 2025-08-14T21:54:52.5672188Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:52.5672632Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward 2025-08-14T21:54:52.5673051Z feat_concat = self.fpn(feats) 2025-08-14T21:54:52.5673478Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 83, in forward 2025-08-14T21:54:52.5673946Z _x: List[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)] 2025-08-14T21:54:52.5674419Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 83, in 2025-08-14T21:54:52.5674881Z _x: List[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)] 2025-08-14T21:54:52.5675067Z 2025-08-14T21:54:52.5675164Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:52.5675599Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward 2025-08-14T21:54:52.5676004Z feat_concat = self.fpn(feats) 2025-08-14T21:54:52.5676391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 83, in forward 2025-08-14T21:54:52.5676855Z _x: List[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)] 2025-08-14T21:54:52.5677360Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 83, in 2025-08-14T21:54:52.5677829Z _x: List[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)] 2025-08-14T21:54:52.5678007Z 2025-08-14T21:54:52.5678103Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:52.5678533Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward 2025-08-14T21:54:52.5678936Z feat_concat = self.fpn(feats) 2025-08-14T21:54:52.5679327Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 86, in forward 2025-08-14T21:54:52.5679736Z out.append(self.upsample(out[-1]) + t) 2025-08-14T21:54:52.5679874Z 2025-08-14T21:54:52.5679973Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:52.5680405Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward 2025-08-14T21:54:52.5680808Z feat_concat = self.fpn(feats) 2025-08-14T21:54:52.5681195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 83, in forward 2025-08-14T21:54:52.5681657Z _x: List[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)] 2025-08-14T21:54:52.5682126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 83, in 2025-08-14T21:54:52.5682589Z _x: List[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)] 2025-08-14T21:54:52.5682766Z 2025-08-14T21:54:52.5682861Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:52.5683293Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward 2025-08-14T21:54:52.5683702Z feat_concat = self.fpn(feats) 2025-08-14T21:54:52.5684087Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 86, in forward 2025-08-14T21:54:52.5684500Z out.append(self.upsample(out[-1]) + t) 2025-08-14T21:54:52.5684639Z 2025-08-14T21:54:52.5684736Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:52.5685166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward 2025-08-14T21:54:52.5685564Z feat_concat = self.fpn(feats) 2025-08-14T21:54:52.5685957Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 83, in forward 2025-08-14T21:54:52.5686454Z _x: List[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)] 2025-08-14T21:54:52.5686934Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 83, in 2025-08-14T21:54:52.5687410Z _x: List[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)] 2025-08-14T21:54:52.5687601Z 2025-08-14T21:54:52.5687697Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:52.5688140Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward 2025-08-14T21:54:52.5688564Z feat_concat = self.fpn(feats) 2025-08-14T21:54:52.5688960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 86, in forward 2025-08-14T21:54:52.5689386Z out.append(self.upsample(out[-1]) + t) 2025-08-14T21:54:52.5689518Z 2025-08-14T21:54:52.5689626Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:52.5690085Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward 2025-08-14T21:54:52.5690477Z feat_concat = self.fpn(feats) 2025-08-14T21:54:52.5690869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in forward 2025-08-14T21:54:52.5694791Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-08-14T21:54:52.5695272Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in 2025-08-14T21:54:52.5695747Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-08-14T21:54:52.5695922Z 2025-08-14T21:54:52.5696023Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:52.5696469Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward 2025-08-14T21:54:52.5696876Z feat_concat = self.fpn(feats) 2025-08-14T21:54:52.5697276Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in forward 2025-08-14T21:54:52.5697734Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-08-14T21:54:52.5698195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in 2025-08-14T21:54:52.5698645Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-08-14T21:54:52.5698817Z 2025-08-14T21:54:52.5698915Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:52.5699353Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward 2025-08-14T21:54:52.5699880Z feat_concat = self.fpn(feats) 2025-08-14T21:54:52.5700299Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in forward 2025-08-14T21:54:52.5700890Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-08-14T21:54:52.5701346Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in 2025-08-14T21:54:52.5701804Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-08-14T21:54:52.5701966Z 2025-08-14T21:54:52.5702064Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:52.5702500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward 2025-08-14T21:54:52.5702906Z feat_concat = self.fpn(feats) 2025-08-14T21:54:52.5703365Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in forward 2025-08-14T21:54:52.5703810Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-08-14T21:54:52.5704261Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in 2025-08-14T21:54:52.5704713Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-08-14T21:54:52.5704873Z 2025-08-14T21:54:52.5704976Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:52.5705402Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward 2025-08-14T21:54:52.5705806Z feat_concat = self.fpn(feats) 2025-08-14T21:54:52.5706347Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in forward 2025-08-14T21:54:52.5706813Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-08-14T21:54:52.5707332Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in 2025-08-14T21:54:52.5707785Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-08-14T21:54:52.5707945Z 2025-08-14T21:54:52.5708050Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:52.5708479Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward 2025-08-14T21:54:52.5708877Z feat_concat = self.fpn(feats) 2025-08-14T21:54:52.5709273Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in forward 2025-08-14T21:54:52.5709721Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-08-14T21:54:52.5710177Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in 2025-08-14T21:54:52.5710629Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-08-14T21:54:52.5710798Z 2025-08-14T21:54:52.5710895Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:52.5711333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward 2025-08-14T21:54:52.5711731Z feat_concat = self.fpn(feats) 2025-08-14T21:54:52.5712128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in forward 2025-08-14T21:54:52.5712574Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-08-14T21:54:52.5713023Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in 2025-08-14T21:54:52.5713471Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-08-14T21:54:52.5713642Z 2025-08-14T21:54:52.5713738Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:52.5714172Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward 2025-08-14T21:54:52.5714577Z feat_concat = self.fpn(feats) 2025-08-14T21:54:52.5714969Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in forward 2025-08-14T21:54:52.5715415Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-08-14T21:54:52.5715868Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in 2025-08-14T21:54:52.5716321Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-08-14T21:54:52.5716484Z 2025-08-14T21:54:52.5716626Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:52.5717068Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward 2025-08-14T21:54:52.5717469Z feat_concat = self.fpn(feats) 2025-08-14T21:54:52.5717854Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 91, in forward 2025-08-14T21:54:52.5718254Z return torch.cat(out, dim=1) 2025-08-14T21:54:52.5718375Z 2025-08-14T21:54:52.5718453Z cudagraph partition due to non gpu ops 2025-08-14T21:54:52.5718684Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:52.5719117Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 194, in forward 2025-08-14T21:54:52.5719522Z logits = self.prob_head(feat_concat) 2025-08-14T21:54:52.5719651Z 2025-08-14T21:54:52.5719749Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:52.5720209Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 194, in forward 2025-08-14T21:54:52.5720612Z logits = self.prob_head(feat_concat) 2025-08-14T21:54:52.5720743Z 2025-08-14T21:54:52.5720839Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:52.5721268Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 194, in forward 2025-08-14T21:54:52.5721676Z logits = self.prob_head(feat_concat) 2025-08-14T21:54:52.5721800Z 2025-08-14T21:54:52.5721893Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:52.5722324Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 194, in forward 2025-08-14T21:54:52.5722736Z logits = self.prob_head(feat_concat) 2025-08-14T21:54:52.5722858Z 2025-08-14T21:54:52.5722943Z cudagraph partition due to non gpu ops 2025-08-14T21:54:52.5723162Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:52.5723592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward 2025-08-14T21:54:52.5724030Z prob_map = _bf16_to_float32(torch.sigmoid(logits)) 2025-08-14T21:54:52.5724175Z 2025-08-14T21:55:04.9957838Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:04.9959127Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/core.py", line 95, in __call__ 2025-08-14T21:55:04.9959547Z for bmap in (proba_map >= self.bin_thresh).astype(np.uint8) 2025-08-14T21:55:04.9959801Z 2025-08-14T21:55:06.6682175Z Compilation time (from dynamo_timed): 25.510787208 2025-08-14T21:55:06.6686242Z pass 2025-08-14T21:55:06.6691103Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T21:55:06.6693891Z TIMING: gc:0.00519 entire_frame_compile:25.51079 _recursive_pre_grad_passes:0.0107 _recursive_joint_graph_passes:0.16795 _recursive_post_grad_passes:0.13194 async_compile.wait:1.04704 code_gen:11.25645 inductor_compile:13.38036 backend_compile:16.97717 total_wall_time:25.51079 2025-08-14T21:55:06.6694848Z STATS: call_* op count: 230 | FakeTensorMode.__torch_dispatch__:17216 | FakeTensor.__torch_dispatch__:8957 | ProxyTorchDispatchMode.__torch_dispatch__:6953 2025-08-14T21:55:06.6695329Z Dynamo produced 4 graphs covering 230 ops with 5 graph breaks (2 unique) 2025-08-14T21:55:10.4610992Z 2025-08-14T21:55:12.7908561Z loading model: 0it [00:00, ?it/s] 2025-08-14T21:55:12.7908974Z loading model: 0it [00:02, ?it/s] 2025-08-14T21:55:12.7916868Z cpu eval doctr_reco_predictor 2025-08-14T21:55:12.9585445Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T21:55:12.9957192Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T21:55:13.0302839Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T21:55:17.1859575Z cudagraph partition due to non gpu ops 2025-08-14T21:55:17.1860052Z cudagraph partition due to non gpu ops 2025-08-14T21:55:17.1864785Z cudagraph partition due to non gpu ops 2025-08-14T21:55:17.1869735Z cudagraph partition due to non gpu ops 2025-08-14T21:55:17.1874285Z cudagraph partition due to non gpu ops 2025-08-14T21:55:17.1878726Z cudagraph partition due to non gpu ops 2025-08-14T21:55:17.1883297Z cudagraph partition due to non gpu ops 2025-08-14T21:55:17.1887560Z cudagraph partition due to non gpu ops 2025-08-14T21:55:17.1891276Z cudagraph partition due to non gpu ops 2025-08-14T21:55:17.1891647Z cudagraph partition due to non gpu ops 2025-08-14T21:55:17.1896796Z cudagraph partition due to non gpu ops 2025-08-14T21:55:17.1900959Z cudagraph partition due to non gpu ops 2025-08-14T21:55:17.1901348Z cudagraph partition due to non gpu ops 2025-08-14T21:55:17.1906441Z cudagraph partition due to non gpu ops 2025-08-14T21:55:17.1908051Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:17.1908676Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-08-14T21:55:17.1909131Z features = self.feat_extractor(x) 2025-08-14T21:55:17.1913196Z 2025-08-14T21:55:17.1917826Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:17.1920209Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-08-14T21:55:17.1920736Z features = self.feat_extractor(x) 2025-08-14T21:55:17.1924253Z 2025-08-14T21:55:17.1928900Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:17.1933260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-08-14T21:55:17.1935546Z features = self.feat_extractor(x) 2025-08-14T21:55:17.1935823Z 2025-08-14T21:55:17.1940335Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:17.1943546Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-08-14T21:55:17.1943999Z features = self.feat_extractor(x) 2025-08-14T21:55:17.1944133Z 2025-08-14T21:55:17.1944253Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:17.1944649Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-08-14T21:55:17.1945025Z features = self.feat_extractor(x) 2025-08-14T21:55:17.1945157Z 2025-08-14T21:55:17.1945259Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:17.1945650Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-08-14T21:55:17.1946027Z features = self.feat_extractor(x) 2025-08-14T21:55:17.1946165Z 2025-08-14T21:55:17.1946264Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:17.1946648Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-08-14T21:55:17.1947008Z features = self.feat_extractor(x) 2025-08-14T21:55:17.1947128Z 2025-08-14T21:55:17.1947232Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:17.1947616Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-08-14T21:55:17.1947976Z features = self.feat_extractor(x) 2025-08-14T21:55:17.1948093Z 2025-08-14T21:55:17.1948191Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:17.1948573Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-08-14T21:55:17.1949187Z features = self.feat_extractor(x) 2025-08-14T21:55:17.1949318Z 2025-08-14T21:55:17.1949423Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:17.1949797Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-08-14T21:55:17.1950152Z features = self.feat_extractor(x) 2025-08-14T21:55:17.1950271Z 2025-08-14T21:55:17.1950375Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:17.1950753Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-08-14T21:55:17.1951107Z features = self.feat_extractor(x) 2025-08-14T21:55:17.1951231Z 2025-08-14T21:55:17.1951328Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:17.1951704Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-08-14T21:55:17.1952053Z features = self.feat_extractor(x) 2025-08-14T21:55:17.1952181Z 2025-08-14T21:55:17.1952348Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:17.1952724Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-08-14T21:55:17.1953080Z features = self.feat_extractor(x) 2025-08-14T21:55:17.1953196Z 2025-08-14T21:55:17.1953292Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:17.1953667Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-08-14T21:55:17.1954023Z features = self.feat_extractor(x) 2025-08-14T21:55:17.1954140Z 2025-08-14T21:55:17.1954241Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:17.1954611Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-08-14T21:55:17.1954967Z features = self.feat_extractor(x) 2025-08-14T21:55:17.1955083Z 2025-08-14T21:55:17.1955189Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:17.1955568Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-08-14T21:55:17.1955917Z features = self.feat_extractor(x) 2025-08-14T21:55:17.1956042Z 2025-08-14T21:55:17.1956137Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:17.1956511Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-08-14T21:55:17.1956861Z features = self.feat_extractor(x) 2025-08-14T21:55:17.1956986Z 2025-08-14T21:55:17.1957081Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:17.1957458Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-08-14T21:55:17.1957818Z features = self.feat_extractor(x) 2025-08-14T21:55:17.1957938Z 2025-08-14T21:55:17.1958036Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:17.1958418Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-08-14T21:55:17.1958776Z features = self.feat_extractor(x) 2025-08-14T21:55:17.1958894Z 2025-08-14T21:55:17.1958996Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:17.1959369Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-08-14T21:55:17.1959723Z features = self.feat_extractor(x) 2025-08-14T21:55:17.1959840Z 2025-08-14T21:55:17.1959942Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:17.1960344Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-08-14T21:55:17.1960698Z features = self.feat_extractor(x) 2025-08-14T21:55:17.1960823Z 2025-08-14T21:55:17.1960961Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:17.1961344Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-08-14T21:55:17.1961690Z features = self.feat_extractor(x) 2025-08-14T21:55:17.1961814Z 2025-08-14T21:55:17.1961909Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:17.1962282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-08-14T21:55:17.1962635Z features = self.feat_extractor(x) 2025-08-14T21:55:17.1962751Z 2025-08-14T21:55:17.1962847Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:17.1963223Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-08-14T21:55:17.1963579Z features = self.feat_extractor(x) 2025-08-14T21:55:17.1963696Z 2025-08-14T21:55:17.1963790Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:17.1964169Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-08-14T21:55:17.1964558Z features = self.feat_extractor(x) 2025-08-14T21:55:17.1964676Z 2025-08-14T21:55:17.1964778Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:17.1965149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-08-14T21:55:17.1965505Z features = self.feat_extractor(x) 2025-08-14T21:55:17.1965629Z 2025-08-14T21:55:17.1965726Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:17.1966107Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-08-14T21:55:17.1966457Z features = self.feat_extractor(x) 2025-08-14T21:55:17.1966581Z 2025-08-14T21:55:17.1966675Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:17.1967055Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-08-14T21:55:17.1967412Z features = self.feat_extractor(x) 2025-08-14T21:55:17.1967528Z 2025-08-14T21:55:17.1967622Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:17.1967997Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-08-14T21:55:17.1968356Z features = self.feat_extractor(x) 2025-08-14T21:55:17.1968475Z 2025-08-14T21:55:17.1968569Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:17.1968943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-08-14T21:55:17.1969298Z features = self.feat_extractor(x) 2025-08-14T21:55:17.1969414Z 2025-08-14T21:55:17.1969516Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:17.1969887Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-08-14T21:55:17.1970247Z features = self.feat_extractor(x) 2025-08-14T21:55:17.1970364Z 2025-08-14T21:55:24.3088293Z E0814 21:55:24.306918 14832 site-packages/torch/fx/experimental/recording.py:315] [2/0] failed while running evaluate_expr(*(u0, None, u0, False, False, False, None), **{}) 2025-08-14T21:55:24.3863244Z E0814 21:55:24.384565 14832 site-packages/torch/fx/experimental/recording.py:315] [3/0] failed while running evaluate_expr(*(u0, None, u0, False, False, False, None), **{}) 2025-08-14T21:55:24.5049264Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:24.5051304Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 75, in ctc_best_path 2025-08-14T21:55:24.5051803Z probs = F.softmax(logits, dim=-1).max(dim=-1).values.min(dim=1).values 2025-08-14T21:55:24.5051988Z 2025-08-14T21:55:25.4173266Z Compilation time (from dynamo_timed): 11.389669061 2025-08-14T21:55:25.4174221Z pass 2025-08-14T21:55:25.4174600Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T21:55:25.4175340Z TIMING: gc:0.00356 entire_frame_compile:11.38967 _recursive_pre_grad_passes:0.0044 _recursive_joint_graph_passes:0.32746 _recursive_post_grad_passes:0.04235 async_compile.wait:1.39244 code_gen:7.71989 inductor_compile:8.11936 backend_compile:9.60848 total_wall_time:11.38967 2025-08-14T21:55:25.4176250Z STATS: call_* op count: 56 | FakeTensorMode.__torch_dispatch__:4119 | FakeTensor.__torch_dispatch__:1669 | ProxyTorchDispatchMode.__torch_dispatch__:1316 2025-08-14T21:55:25.4176712Z Dynamo produced 2 graphs covering 56 ops with 4 graph breaks (3 unique) 2025-08-14T21:55:29.4416899Z 2025-08-14T21:55:29.4908802Z loading model: 0it [00:00, ?it/s]Gym has been unmaintained since 2022 and does not support NumPy 2.0 amongst other critical functionality. 2025-08-14T21:55:29.4910007Z Please upgrade to Gymnasium, the maintained drop-in replacement of Gym, or contact the authors of your software and request that they upgrade. 2025-08-14T21:55:29.4911062Z 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. 2025-08-14T21:55:29.4911737Z See the migration guide at https://gymnasium.farama.org/introduction/migration_guide/ for additional information. 2025-08-14T21:55:30.0353768Z 2025-08-14T21:55:30.0354543Z loading model: 0it [00:00, ?it/s] 2025-08-14T21:55:30.0355621Z cpu eval drq 2025-08-14T21:55:30.0435024Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T21:55:30.0474872Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T21:55:30.0510874Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T21:55:32.1441886Z cudagraph partition due to non gpu ops 2025-08-14T21:55:32.1455717Z cudagraph partition due to non gpu ops 2025-08-14T21:55:32.1456039Z cudagraph partition due to non gpu ops 2025-08-14T21:55:32.1456256Z cudagraph partition due to non gpu ops 2025-08-14T21:55:32.1456499Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:32.1456864Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:55:32.1457190Z return mod(*inputs) 2025-08-14T21:55:32.1457447Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward 2025-08-14T21:55:32.1457742Z obs = self.encoder(obs, detach=detach_encoder) 2025-08-14T21:55:32.1458020Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward 2025-08-14T21:55:32.1458289Z h = self.forward_conv(obs) 2025-08-14T21:55:32.1458557Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 43, in forward_conv 2025-08-14T21:55:32.1458851Z conv = torch.relu(self.convs[0](obs)) 2025-08-14T21:55:32.1459000Z 2025-08-14T21:55:32.1459110Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:32.1459467Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:55:32.1459903Z return mod(*inputs) 2025-08-14T21:55:32.1460139Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward 2025-08-14T21:55:32.1460454Z obs = self.encoder(obs, detach=detach_encoder) 2025-08-14T21:55:32.1460736Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward 2025-08-14T21:55:32.1461002Z h = self.forward_conv(obs) 2025-08-14T21:55:32.1461259Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 47, in forward_conv 2025-08-14T21:55:32.1461548Z conv = torch.relu(self.convs[i](conv)) 2025-08-14T21:55:32.1461675Z 2025-08-14T21:55:32.1461786Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:32.1462470Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:55:32.1462778Z return mod(*inputs) 2025-08-14T21:55:32.1463016Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward 2025-08-14T21:55:32.1463292Z obs = self.encoder(obs, detach=detach_encoder) 2025-08-14T21:55:32.1463558Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward 2025-08-14T21:55:32.1463818Z h = self.forward_conv(obs) 2025-08-14T21:55:32.1464086Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 47, in forward_conv 2025-08-14T21:55:32.1464359Z conv = torch.relu(self.convs[i](conv)) 2025-08-14T21:55:32.1464492Z 2025-08-14T21:55:32.1464592Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:32.1464928Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:55:32.1465234Z return mod(*inputs) 2025-08-14T21:55:32.1465464Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward 2025-08-14T21:55:32.1465742Z obs = self.encoder(obs, detach=detach_encoder) 2025-08-14T21:55:32.1466106Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward 2025-08-14T21:55:32.1466352Z h = self.forward_conv(obs) 2025-08-14T21:55:32.1466610Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 47, in forward_conv 2025-08-14T21:55:32.1466886Z conv = torch.relu(self.convs[i](conv)) 2025-08-14T21:55:32.1467010Z 2025-08-14T21:55:32.1467116Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:32.1467441Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:55:32.1467742Z return mod(*inputs) 2025-08-14T21:55:32.1467977Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward 2025-08-14T21:55:32.1468244Z obs = self.encoder(obs, detach=detach_encoder) 2025-08-14T21:55:32.1468519Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward 2025-08-14T21:55:32.1468780Z h = self.forward_conv(obs) 2025-08-14T21:55:32.1469045Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 47, in forward_conv 2025-08-14T21:55:32.1469313Z conv = torch.relu(self.convs[i](conv)) 2025-08-14T21:55:32.1469444Z 2025-08-14T21:55:32.1469542Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:32.1469876Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:55:32.1470172Z return mod(*inputs) 2025-08-14T21:55:32.1470403Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward 2025-08-14T21:55:32.1470677Z obs = self.encoder(obs, detach=detach_encoder) 2025-08-14T21:55:32.1470946Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 61, in forward 2025-08-14T21:55:32.1471185Z out = self.head(h) 2025-08-14T21:55:32.1471289Z 2025-08-14T21:55:32.1471387Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:32.1471723Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:55:32.1472020Z return mod(*inputs) 2025-08-14T21:55:32.1472254Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward 2025-08-14T21:55:32.1472532Z obs = self.encoder(obs, detach=detach_encoder) 2025-08-14T21:55:32.1472803Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 63, in forward 2025-08-14T21:55:32.1473049Z out = torch.tanh(out) 2025-08-14T21:55:32.1473162Z 2025-08-14T21:55:32.1473260Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:32.1473595Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:55:32.1473890Z return mod(*inputs) 2025-08-14T21:55:32.1474122Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 99, in forward 2025-08-14T21:55:32.1474398Z mu, log_std = self.trunk(obs).chunk(2, dim=-1) 2025-08-14T21:55:32.1474534Z 2025-08-14T21:55:32.1474680Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:32.1475005Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:55:32.1475303Z return mod(*inputs) 2025-08-14T21:55:32.1475533Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 99, in forward 2025-08-14T21:55:32.1475796Z mu, log_std = self.trunk(obs).chunk(2, dim=-1) 2025-08-14T21:55:32.1475937Z 2025-08-14T21:55:32.1476035Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:32.1476361Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:55:32.1476658Z return mod(*inputs) 2025-08-14T21:55:32.1476882Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 99, in forward 2025-08-14T21:55:32.1477154Z mu, log_std = self.trunk(obs).chunk(2, dim=-1) 2025-08-14T21:55:32.1477286Z 2025-08-14T21:55:32.1477390Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:32.1477713Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:55:32.1478057Z return mod(*inputs) 2025-08-14T21:55:32.1478287Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 99, in forward 2025-08-14T21:55:32.1478558Z mu, log_std = self.trunk(obs).chunk(2, dim=-1) 2025-08-14T21:55:32.1478692Z 2025-08-14T21:55:32.1478789Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:32.1479120Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:55:32.1479423Z return mod(*inputs) 2025-08-14T21:55:32.1479651Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 99, in forward 2025-08-14T21:55:32.1479931Z mu, log_std = self.trunk(obs).chunk(2, dim=-1) 2025-08-14T21:55:32.1480068Z 2025-08-14T21:55:32.1480176Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:32.1480537Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:55:32.1480856Z return mod(*inputs) 2025-08-14T21:55:32.1481114Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 105, in forward 2025-08-14T21:55:32.1481391Z std = log_std.exp() 2025-08-14T21:55:32.1481494Z 2025-08-14T21:55:38.9067627Z Compilation time (from dynamo_timed): 7.929033905 2025-08-14T21:55:38.9071910Z pass 2025-08-14T21:55:38.9076042Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T21:55:38.9080858Z TIMING: _recursive_pre_grad_passes:0.00409 _recursive_joint_graph_passes:0.11835 _recursive_post_grad_passes:0.02023 async_compile.wait:0.69621 code_gen:6.41702 inductor_compile:6.52209 backend_compile:7.35508 gc:0.00153 entire_frame_compile:7.92903 total_wall_time:7.92903 2025-08-14T21:55:38.9081937Z STATS: call_* op count: 58 | FakeTensor.__torch_dispatch__:274 | FakeTensorMode.__torch_dispatch__:1195 | ProxyTorchDispatchMode.__torch_dispatch__:290 2025-08-14T21:55:38.9082451Z Dynamo produced 2 graphs covering 58 ops with 0 graph breaks (0 unique) 2025-08-14T21:55:42.5139584Z 2025-08-14T21:55:43.8951868Z loading model: 0it [00:00, ?it/s] 2025-08-14T21:55:43.8957267Z loading model: 0it [00:01, ?it/s] 2025-08-14T21:55:43.8961542Z cpu eval fastNLP_Bert 2025-08-14T21:55:44.8420702Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T21:55:45.2888290Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T21:55:45.7305950Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T21:55:46.6253332Z W0814 21:55:46.623565 16366 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] Graph break from `Tensor.item()`, consider setting: 2025-08-14T21:55:46.6254142Z W0814 21:55:46.623565 16366 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] torch._dynamo.config.capture_scalar_outputs = True 2025-08-14T21:55:46.6255035Z W0814 21:55:46.623565 16366 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] or: 2025-08-14T21:55:46.6255508Z W0814 21:55:46.623565 16366 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1 2025-08-14T21:55:46.6256044Z W0814 21:55:46.623565 16366 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] to include these operations in the captured graph. 2025-08-14T21:55:46.6256495Z W0814 21:55:46.623565 16366 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] 2025-08-14T21:55:46.6256910Z W0814 21:55:46.623565 16366 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] Graph break: from user code at: 2025-08-14T21:55:46.6257529Z W0814 21:55:46.623565 16366 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:55:46.6258119Z W0814 21:55:46.623565 16366 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] return mod(*inputs) 2025-08-14T21:55:46.6258822Z W0814 21:55:46.623565 16366 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 2025-08-14T21:55:46.6259438Z W0814 21:55:46.623565 16366 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] sequence_output = self.bert(words) 2025-08-14T21:55:46.6260241Z W0814 21:55:46.623565 16366 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 2025-08-14T21:55:46.6260879Z W0814 21:55:46.623565 16366 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] outputs = self.model(words) 2025-08-14T21:55:46.6261516Z W0814 21:55:46.623565 16366 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 2025-08-14T21:55:46.6267668Z W0814 21:55:46.623565 16366 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) 2025-08-14T21:55:46.6268237Z W0814 21:55:46.623565 16366 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] 2025-08-14T21:55:46.6268581Z W0814 21:55:46.623565 16366 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] 2025-08-14T21:55:47.6458485Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:47.6458975Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/embeddings/bert_embedding.py", line 445, in forward 2025-08-14T21:55:47.6459940Z max_word_piece_length = batch_word_pieces_length.sum(dim=-1).max().item() # 表示word piece的长度(包括padding) 2025-08-14T21:55:47.6460193Z 2025-08-14T21:55:47.6460299Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:47.6460737Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/embeddings/bert_embedding.py", line 441, in forward 2025-08-14T21:55:47.6461114Z seq_len = word_mask.sum(dim=-1) 2025-08-14T21:55:47.6461240Z 2025-08-14T21:55:58.8404915Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8409105Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 512, in forward 2025-08-14T21:55:58.8411094Z embedding_output = self.embeddings(input_ids, token_type_ids) 2025-08-14T21:55:58.8416667Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 242, in forward 2025-08-14T21:55:58.8418730Z embeddings = words_embeddings + position_embeddings + token_type_embeddings 2025-08-14T21:55:58.8419058Z 2025-08-14T21:55:58.8424204Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8429478Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T21:55:58.8435399Z encoded_layers = self.encoder(embedding_output, 2025-08-14T21:55:58.8435929Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T21:55:58.8436388Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T21:55:58.8436795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-08-14T21:55:58.8437215Z attention_output = self.attention(hidden_states, attention_mask) 2025-08-14T21:55:58.8437608Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-08-14T21:55:58.8437983Z self_output = self.self(input_tensor, attention_mask) 2025-08-14T21:55:58.8438353Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward 2025-08-14T21:55:58.8438716Z mixed_query_layer = self.query(hidden_states) 2025-08-14T21:55:58.8438865Z 2025-08-14T21:55:58.8438977Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8439443Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T21:55:58.8439801Z encoded_layers = self.encoder(embedding_output, 2025-08-14T21:55:58.8440141Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T21:55:58.8440515Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T21:55:58.8440885Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-08-14T21:55:58.8441268Z attention_output = self.attention(hidden_states, attention_mask) 2025-08-14T21:55:58.8441640Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-08-14T21:55:58.8442004Z self_output = self.self(input_tensor, attention_mask) 2025-08-14T21:55:58.8442378Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward 2025-08-14T21:55:58.8442724Z mixed_key_layer = self.key(hidden_states) 2025-08-14T21:55:58.8442858Z 2025-08-14T21:55:58.8442961Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8443318Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T21:55:58.8443669Z encoded_layers = self.encoder(embedding_output, 2025-08-14T21:55:58.8444009Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T21:55:58.8444377Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T21:55:58.8444740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-08-14T21:55:58.8445124Z attention_output = self.attention(hidden_states, attention_mask) 2025-08-14T21:55:58.8445496Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-08-14T21:55:58.8445853Z self_output = self.self(input_tensor, attention_mask) 2025-08-14T21:55:58.8446210Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward 2025-08-14T21:55:58.8446554Z mixed_value_layer = self.value(hidden_states) 2025-08-14T21:55:58.8446691Z 2025-08-14T21:55:58.8446776Z cudagraph partition due to non gpu ops 2025-08-14T21:55:58.8446990Z cudagraph partition due to non gpu ops 2025-08-14T21:55:58.8447214Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8447566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T21:55:58.8447914Z encoded_layers = self.encoder(embedding_output, 2025-08-14T21:55:58.8448309Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T21:55:58.8448681Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T21:55:58.8449044Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-08-14T21:55:58.8449425Z attention_output = self.attention(hidden_states, attention_mask) 2025-08-14T21:55:58.8449804Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward 2025-08-14T21:55:58.8450166Z attention_output = self.output(self_output, input_tensor) 2025-08-14T21:55:58.8450531Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward 2025-08-14T21:55:58.8450870Z hidden_states = self.dense(hidden_states) 2025-08-14T21:55:58.8451000Z 2025-08-14T21:55:58.8451113Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8451464Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T21:55:58.8451847Z encoded_layers = self.encoder(embedding_output, 2025-08-14T21:55:58.8452189Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T21:55:58.8452561Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T21:55:58.8452917Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-08-14T21:55:58.8453286Z intermediate_output = self.intermediate(attention_output) 2025-08-14T21:55:58.8453654Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward 2025-08-14T21:55:58.8453984Z hidden_states = self.dense(hidden_states) 2025-08-14T21:55:58.8454124Z 2025-08-14T21:55:58.8454221Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8454579Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T21:55:58.8454931Z encoded_layers = self.encoder(embedding_output, 2025-08-14T21:55:58.8455268Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T21:55:58.8455637Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T21:55:58.8455998Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-08-14T21:55:58.8456369Z intermediate_output = self.intermediate(attention_output) 2025-08-14T21:55:58.8456731Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward 2025-08-14T21:55:58.8457097Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-08-14T21:55:58.8457452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu 2025-08-14T21:55:58.8457798Z return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0))) 2025-08-14T21:55:58.8457952Z 2025-08-14T21:55:58.8458050Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8458411Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T21:55:58.8458763Z encoded_layers = self.encoder(embedding_output, 2025-08-14T21:55:58.8459104Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T21:55:58.8459472Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T21:55:58.8459976Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward 2025-08-14T21:55:58.8460369Z layer_output = self.output(intermediate_output, attention_output) 2025-08-14T21:55:58.8460746Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward 2025-08-14T21:55:58.8461151Z hidden_states = self.dense(hidden_states) 2025-08-14T21:55:58.8461285Z 2025-08-14T21:55:58.8461391Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8461740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T21:55:58.8462090Z encoded_layers = self.encoder(embedding_output, 2025-08-14T21:55:58.8462436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T21:55:58.8462801Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T21:55:58.8463154Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-08-14T21:55:58.8463540Z attention_output = self.attention(hidden_states, attention_mask) 2025-08-14T21:55:58.8463918Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-08-14T21:55:58.8464274Z self_output = self.self(input_tensor, attention_mask) 2025-08-14T21:55:58.8464652Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward 2025-08-14T21:55:58.8464993Z mixed_query_layer = self.query(hidden_states) 2025-08-14T21:55:58.8465128Z 2025-08-14T21:55:58.8465231Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8465574Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T21:55:58.8465920Z encoded_layers = self.encoder(embedding_output, 2025-08-14T21:55:58.8466261Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T21:55:58.8466626Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T21:55:58.8466987Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-08-14T21:55:58.8467370Z attention_output = self.attention(hidden_states, attention_mask) 2025-08-14T21:55:58.8467885Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-08-14T21:55:58.8468237Z self_output = self.self(input_tensor, attention_mask) 2025-08-14T21:55:58.8468581Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward 2025-08-14T21:55:58.8468917Z mixed_key_layer = self.key(hidden_states) 2025-08-14T21:55:58.8469044Z 2025-08-14T21:55:58.8469147Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8469502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T21:55:58.8469841Z encoded_layers = self.encoder(embedding_output, 2025-08-14T21:55:58.8470185Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T21:55:58.8470551Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T21:55:58.8470922Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-08-14T21:55:58.8471302Z attention_output = self.attention(hidden_states, attention_mask) 2025-08-14T21:55:58.8471672Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-08-14T21:55:58.8472026Z self_output = self.self(input_tensor, attention_mask) 2025-08-14T21:55:58.8472380Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward 2025-08-14T21:55:58.8472716Z mixed_value_layer = self.value(hidden_states) 2025-08-14T21:55:58.8472860Z 2025-08-14T21:55:58.8472938Z cudagraph partition due to non gpu ops 2025-08-14T21:55:58.8473143Z cudagraph partition due to non gpu ops 2025-08-14T21:55:58.8473367Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8473747Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T21:55:58.8474101Z encoded_layers = self.encoder(embedding_output, 2025-08-14T21:55:58.8474451Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T21:55:58.8474809Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T21:55:58.8475173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-08-14T21:55:58.8475553Z attention_output = self.attention(hidden_states, attention_mask) 2025-08-14T21:55:58.8475932Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward 2025-08-14T21:55:58.8476290Z attention_output = self.output(self_output, input_tensor) 2025-08-14T21:55:58.8476657Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward 2025-08-14T21:55:58.8477040Z hidden_states = self.dense(hidden_states) 2025-08-14T21:55:58.8477168Z 2025-08-14T21:55:58.8477269Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8477615Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T21:55:58.8477963Z encoded_layers = self.encoder(embedding_output, 2025-08-14T21:55:58.8478300Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T21:55:58.8478654Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T21:55:58.8479010Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-08-14T21:55:58.8479380Z intermediate_output = self.intermediate(attention_output) 2025-08-14T21:55:58.8479747Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward 2025-08-14T21:55:58.8480081Z hidden_states = self.dense(hidden_states) 2025-08-14T21:55:58.8480216Z 2025-08-14T21:55:58.8480313Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8480671Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T21:55:58.8481018Z encoded_layers = self.encoder(embedding_output, 2025-08-14T21:55:58.8481361Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T21:55:58.8481725Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T21:55:58.8482087Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-08-14T21:55:58.8482450Z intermediate_output = self.intermediate(attention_output) 2025-08-14T21:55:58.8482815Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward 2025-08-14T21:55:58.8483180Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-08-14T21:55:58.8483540Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu 2025-08-14T21:55:58.8483880Z return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0))) 2025-08-14T21:55:58.8484030Z 2025-08-14T21:55:58.8484125Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8484482Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T21:55:58.8484826Z encoded_layers = self.encoder(embedding_output, 2025-08-14T21:55:58.8485161Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T21:55:58.8485521Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T21:55:58.8485910Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward 2025-08-14T21:55:58.8486291Z layer_output = self.output(intermediate_output, attention_output) 2025-08-14T21:55:58.8486689Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward 2025-08-14T21:55:58.8487041Z hidden_states = self.dense(hidden_states) 2025-08-14T21:55:58.8487173Z 2025-08-14T21:55:58.8487279Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8487628Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T21:55:58.8487983Z encoded_layers = self.encoder(embedding_output, 2025-08-14T21:55:58.8488335Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T21:55:58.8488704Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T21:55:58.8489066Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-08-14T21:55:58.8489479Z attention_output = self.attention(hidden_states, attention_mask) 2025-08-14T21:55:58.8489856Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-08-14T21:55:58.8490211Z self_output = self.self(input_tensor, attention_mask) 2025-08-14T21:55:58.8490553Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward 2025-08-14T21:55:58.8490895Z mixed_query_layer = self.query(hidden_states) 2025-08-14T21:55:58.8491030Z 2025-08-14T21:55:58.8491133Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8491477Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T21:55:58.8491823Z encoded_layers = self.encoder(embedding_output, 2025-08-14T21:55:58.8492167Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T21:55:58.8492532Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T21:55:58.8492882Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-08-14T21:55:58.8493257Z attention_output = self.attention(hidden_states, attention_mask) 2025-08-14T21:55:58.8493630Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-08-14T21:55:58.8493982Z self_output = self.self(input_tensor, attention_mask) 2025-08-14T21:55:58.8494324Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward 2025-08-14T21:55:58.8494657Z mixed_key_layer = self.key(hidden_states) 2025-08-14T21:55:58.8494785Z 2025-08-14T21:55:58.8494888Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8495233Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T21:55:58.8495582Z encoded_layers = self.encoder(embedding_output, 2025-08-14T21:55:58.8495927Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T21:55:58.8496288Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T21:55:58.8496643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-08-14T21:55:58.8497022Z attention_output = self.attention(hidden_states, attention_mask) 2025-08-14T21:55:58.8497397Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-08-14T21:55:58.8497752Z self_output = self.self(input_tensor, attention_mask) 2025-08-14T21:55:58.8498127Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward 2025-08-14T21:55:58.8498478Z mixed_value_layer = self.value(hidden_states) 2025-08-14T21:55:58.8498612Z 2025-08-14T21:55:58.8498700Z cudagraph partition due to non gpu ops 2025-08-14T21:55:58.8498900Z cudagraph partition due to non gpu ops 2025-08-14T21:55:58.8499123Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8499483Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T21:55:58.8499998Z encoded_layers = self.encoder(embedding_output, 2025-08-14T21:55:58.8500349Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T21:55:58.8500721Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T21:55:58.8501086Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-08-14T21:55:58.8501461Z attention_output = self.attention(hidden_states, attention_mask) 2025-08-14T21:55:58.8501885Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward 2025-08-14T21:55:58.8502250Z attention_output = self.output(self_output, input_tensor) 2025-08-14T21:55:58.8502609Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward 2025-08-14T21:55:58.8502938Z hidden_states = self.dense(hidden_states) 2025-08-14T21:55:58.8503074Z 2025-08-14T21:55:58.8503171Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8503539Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T21:55:58.8503888Z encoded_layers = self.encoder(embedding_output, 2025-08-14T21:55:58.8504230Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T21:55:58.8504593Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T21:55:58.8504946Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-08-14T21:55:58.8505319Z intermediate_output = self.intermediate(attention_output) 2025-08-14T21:55:58.8505685Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward 2025-08-14T21:55:58.8506013Z hidden_states = self.dense(hidden_states) 2025-08-14T21:55:58.8506366Z 2025-08-14T21:55:58.8506468Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8506831Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T21:55:58.8507186Z encoded_layers = self.encoder(embedding_output, 2025-08-14T21:55:58.8507525Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T21:55:58.8507899Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T21:55:58.8508274Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-08-14T21:55:58.8508655Z intermediate_output = self.intermediate(attention_output) 2025-08-14T21:55:58.8509026Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward 2025-08-14T21:55:58.8509396Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-08-14T21:55:58.8509758Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu 2025-08-14T21:55:58.8510104Z return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0))) 2025-08-14T21:55:58.8510256Z 2025-08-14T21:55:58.8510353Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8510712Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T21:55:58.8511140Z encoded_layers = self.encoder(embedding_output, 2025-08-14T21:55:58.8511488Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T21:55:58.8511856Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T21:55:58.8512220Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward 2025-08-14T21:55:58.8512605Z layer_output = self.output(intermediate_output, attention_output) 2025-08-14T21:55:58.8512976Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward 2025-08-14T21:55:58.8513318Z hidden_states = self.dense(hidden_states) 2025-08-14T21:55:58.8513446Z 2025-08-14T21:55:58.8513549Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8513897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T21:55:58.8514250Z encoded_layers = self.encoder(embedding_output, 2025-08-14T21:55:58.8514653Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T21:55:58.8515020Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T21:55:58.8515376Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-08-14T21:55:58.8515767Z attention_output = self.attention(hidden_states, attention_mask) 2025-08-14T21:55:58.8516150Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-08-14T21:55:58.8516510Z self_output = self.self(input_tensor, attention_mask) 2025-08-14T21:55:58.8516852Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward 2025-08-14T21:55:58.8517196Z mixed_query_layer = self.query(hidden_states) 2025-08-14T21:55:58.8517330Z 2025-08-14T21:55:58.8517438Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8517791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T21:55:58.8518143Z encoded_layers = self.encoder(embedding_output, 2025-08-14T21:55:58.8518492Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T21:55:58.8518854Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T21:55:58.8519210Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-08-14T21:55:58.8519592Z attention_output = self.attention(hidden_states, attention_mask) 2025-08-14T21:55:58.8519970Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-08-14T21:55:58.8520326Z self_output = self.self(input_tensor, attention_mask) 2025-08-14T21:55:58.8520673Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward 2025-08-14T21:55:58.8521014Z mixed_key_layer = self.key(hidden_states) 2025-08-14T21:55:58.8521141Z 2025-08-14T21:55:58.8521243Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8521589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T21:55:58.8521935Z encoded_layers = self.encoder(embedding_output, 2025-08-14T21:55:58.8522277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T21:55:58.8522640Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T21:55:58.8522993Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-08-14T21:55:58.8523375Z attention_output = self.attention(hidden_states, attention_mask) 2025-08-14T21:55:58.8523790Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-08-14T21:55:58.8524151Z self_output = self.self(input_tensor, attention_mask) 2025-08-14T21:55:58.8524495Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward 2025-08-14T21:55:58.8524842Z mixed_value_layer = self.value(hidden_states) 2025-08-14T21:55:58.8524977Z 2025-08-14T21:55:58.8525064Z cudagraph partition due to non gpu ops 2025-08-14T21:55:58.8525260Z cudagraph partition due to non gpu ops 2025-08-14T21:55:58.8525484Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8525840Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T21:55:58.8526184Z encoded_layers = self.encoder(embedding_output, 2025-08-14T21:55:58.8526523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T21:55:58.8526920Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T21:55:58.8527282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-08-14T21:55:58.8527658Z attention_output = self.attention(hidden_states, attention_mask) 2025-08-14T21:55:58.8528027Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward 2025-08-14T21:55:58.8528391Z attention_output = self.output(self_output, input_tensor) 2025-08-14T21:55:58.8528758Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward 2025-08-14T21:55:58.8529089Z hidden_states = self.dense(hidden_states) 2025-08-14T21:55:58.8529224Z 2025-08-14T21:55:58.8529321Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8529677Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T21:55:58.8530028Z encoded_layers = self.encoder(embedding_output, 2025-08-14T21:55:58.8530366Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T21:55:58.8530730Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T21:55:58.8531090Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-08-14T21:55:58.8531464Z intermediate_output = self.intermediate(attention_output) 2025-08-14T21:55:58.8531828Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward 2025-08-14T21:55:58.8532168Z hidden_states = self.dense(hidden_states) 2025-08-14T21:55:58.8532295Z 2025-08-14T21:55:58.8532399Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8532749Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T21:55:58.8533107Z encoded_layers = self.encoder(embedding_output, 2025-08-14T21:55:58.8533453Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T21:55:58.8533823Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T21:55:58.8534176Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-08-14T21:55:58.8534547Z intermediate_output = self.intermediate(attention_output) 2025-08-14T21:55:58.8534913Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward 2025-08-14T21:55:58.8535276Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-08-14T21:55:58.8535625Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu 2025-08-14T21:55:58.8536005Z return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0))) 2025-08-14T21:55:58.8536155Z 2025-08-14T21:55:58.8536257Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8536603Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T21:55:58.8536951Z encoded_layers = self.encoder(embedding_output, 2025-08-14T21:55:58.8537297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T21:55:58.8537658Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T21:55:58.8538009Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward 2025-08-14T21:55:58.8538391Z layer_output = self.output(intermediate_output, attention_output) 2025-08-14T21:55:58.8538768Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward 2025-08-14T21:55:58.8539104Z hidden_states = self.dense(hidden_states) 2025-08-14T21:55:58.8539264Z 2025-08-14T21:55:58.8539360Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8539816Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T21:55:58.8540182Z encoded_layers = self.encoder(embedding_output, 2025-08-14T21:55:58.8540521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T21:55:58.8540887Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T21:55:58.8541248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-08-14T21:55:58.8541631Z attention_output = self.attention(hidden_states, attention_mask) 2025-08-14T21:55:58.8542000Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-08-14T21:55:58.8542361Z self_output = self.self(input_tensor, attention_mask) 2025-08-14T21:55:58.8542722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward 2025-08-14T21:55:58.8543068Z mixed_query_layer = self.query(hidden_states) 2025-08-14T21:55:58.8543204Z 2025-08-14T21:55:58.8543300Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8543652Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T21:55:58.8543995Z encoded_layers = self.encoder(embedding_output, 2025-08-14T21:55:58.8544327Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T21:55:58.8544686Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T21:55:58.8545043Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-08-14T21:55:58.8545425Z attention_output = self.attention(hidden_states, attention_mask) 2025-08-14T21:55:58.8545803Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-08-14T21:55:58.8546156Z self_output = self.self(input_tensor, attention_mask) 2025-08-14T21:55:58.8546507Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward 2025-08-14T21:55:58.8546843Z mixed_key_layer = self.key(hidden_states) 2025-08-14T21:55:58.8546972Z 2025-08-14T21:55:58.8547069Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8547422Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T21:55:58.8547770Z encoded_layers = self.encoder(embedding_output, 2025-08-14T21:55:58.8548104Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T21:55:58.8548505Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T21:55:58.8548874Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-08-14T21:55:58.8549255Z attention_output = self.attention(hidden_states, attention_mask) 2025-08-14T21:55:58.8549626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-08-14T21:55:58.8549982Z self_output = self.self(input_tensor, attention_mask) 2025-08-14T21:55:58.8550335Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward 2025-08-14T21:55:58.8550685Z mixed_value_layer = self.value(hidden_states) 2025-08-14T21:55:58.8550823Z 2025-08-14T21:55:58.8550904Z cudagraph partition due to non gpu ops 2025-08-14T21:55:58.8551109Z cudagraph partition due to non gpu ops 2025-08-14T21:55:58.8551336Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8551685Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T21:55:58.8552068Z encoded_layers = self.encoder(embedding_output, 2025-08-14T21:55:58.8552417Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T21:55:58.8552781Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T21:55:58.8553133Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-08-14T21:55:58.8553512Z attention_output = self.attention(hidden_states, attention_mask) 2025-08-14T21:55:58.8553886Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward 2025-08-14T21:55:58.8554246Z attention_output = self.output(self_output, input_tensor) 2025-08-14T21:55:58.8554612Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward 2025-08-14T21:55:58.8554955Z hidden_states = self.dense(hidden_states) 2025-08-14T21:55:58.8555084Z 2025-08-14T21:55:58.8555186Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8555535Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T21:55:58.8555887Z encoded_layers = self.encoder(embedding_output, 2025-08-14T21:55:58.8556231Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T21:55:58.8556600Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T21:55:58.8556953Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-08-14T21:55:58.8557327Z intermediate_output = self.intermediate(attention_output) 2025-08-14T21:55:58.8557695Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward 2025-08-14T21:55:58.8558031Z hidden_states = self.dense(hidden_states) 2025-08-14T21:55:58.8558168Z 2025-08-14T21:55:58.8558262Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8558612Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T21:55:58.8558961Z encoded_layers = self.encoder(embedding_output, 2025-08-14T21:55:58.8559301Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T21:55:58.8559671Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T21:55:58.8560039Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-08-14T21:55:58.8560407Z intermediate_output = self.intermediate(attention_output) 2025-08-14T21:55:58.8560796Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward 2025-08-14T21:55:58.8561167Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-08-14T21:55:58.8561528Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu 2025-08-14T21:55:58.8561872Z return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0))) 2025-08-14T21:55:58.8562021Z 2025-08-14T21:55:58.8562118Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8562476Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T21:55:58.8562831Z encoded_layers = self.encoder(embedding_output, 2025-08-14T21:55:58.8563176Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T21:55:58.8563544Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T21:55:58.8563912Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward 2025-08-14T21:55:58.8564326Z layer_output = self.output(intermediate_output, attention_output) 2025-08-14T21:55:58.8564698Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward 2025-08-14T21:55:58.8565037Z hidden_states = self.dense(hidden_states) 2025-08-14T21:55:58.8565165Z 2025-08-14T21:55:58.8565269Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8565617Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T21:55:58.8565967Z encoded_layers = self.encoder(embedding_output, 2025-08-14T21:55:58.8566313Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T21:55:58.8566681Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T21:55:58.8567041Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-08-14T21:55:58.8567439Z attention_output = self.attention(hidden_states, attention_mask) 2025-08-14T21:55:58.8567820Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-08-14T21:55:58.8568176Z self_output = self.self(input_tensor, attention_mask) 2025-08-14T21:55:58.8568535Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward 2025-08-14T21:55:58.8568881Z mixed_query_layer = self.query(hidden_states) 2025-08-14T21:55:58.8569014Z 2025-08-14T21:55:58.8569118Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8569465Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T21:55:58.8569816Z encoded_layers = self.encoder(embedding_output, 2025-08-14T21:55:58.8570163Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T21:55:58.8570532Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T21:55:58.8570888Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-08-14T21:55:58.8571271Z attention_output = self.attention(hidden_states, attention_mask) 2025-08-14T21:55:58.8571652Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-08-14T21:55:58.8572010Z self_output = self.self(input_tensor, attention_mask) 2025-08-14T21:55:58.8572355Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward 2025-08-14T21:55:58.8572798Z mixed_key_layer = self.key(hidden_states) 2025-08-14T21:55:58.8572938Z 2025-08-14T21:55:58.8573049Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8573461Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T21:55:58.8573862Z encoded_layers = self.encoder(embedding_output, 2025-08-14T21:55:58.8574213Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T21:55:58.8574576Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T21:55:58.8574937Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-08-14T21:55:58.8575318Z attention_output = self.attention(hidden_states, attention_mask) 2025-08-14T21:55:58.8575702Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-08-14T21:55:58.8576064Z self_output = self.self(input_tensor, attention_mask) 2025-08-14T21:55:58.8576410Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward 2025-08-14T21:55:58.8576756Z mixed_value_layer = self.value(hidden_states) 2025-08-14T21:55:58.8576930Z 2025-08-14T21:55:58.8577020Z cudagraph partition due to non gpu ops 2025-08-14T21:55:58.8577219Z cudagraph partition due to non gpu ops 2025-08-14T21:55:58.8577442Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8577801Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T21:55:58.8578148Z encoded_layers = self.encoder(embedding_output, 2025-08-14T21:55:58.8578483Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T21:55:58.8578847Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T21:55:58.8579219Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-08-14T21:55:58.8579604Z attention_output = self.attention(hidden_states, attention_mask) 2025-08-14T21:55:58.8580088Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward 2025-08-14T21:55:58.8580469Z attention_output = self.output(self_output, input_tensor) 2025-08-14T21:55:58.8580835Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward 2025-08-14T21:55:58.8581169Z hidden_states = self.dense(hidden_states) 2025-08-14T21:55:58.8581310Z 2025-08-14T21:55:58.8581408Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8581769Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T21:55:58.8582126Z encoded_layers = self.encoder(embedding_output, 2025-08-14T21:55:58.8582468Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T21:55:58.8582841Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T21:55:58.8583207Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-08-14T21:55:58.8583586Z intermediate_output = self.intermediate(attention_output) 2025-08-14T21:55:58.8583951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward 2025-08-14T21:55:58.8584294Z hidden_states = self.dense(hidden_states) 2025-08-14T21:55:58.8584423Z 2025-08-14T21:55:58.8584527Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8584874Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T21:55:58.8585230Z encoded_layers = self.encoder(embedding_output, 2025-08-14T21:55:58.8585576Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T21:55:58.8585946Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T21:55:58.8586340Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-08-14T21:55:58.8586716Z intermediate_output = self.intermediate(attention_output) 2025-08-14T21:55:58.8587083Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward 2025-08-14T21:55:58.8587446Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-08-14T21:55:58.8587796Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu 2025-08-14T21:55:58.8588147Z return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0))) 2025-08-14T21:55:58.8588289Z 2025-08-14T21:55:58.8588395Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8588751Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T21:55:58.8589102Z encoded_layers = self.encoder(embedding_output, 2025-08-14T21:55:58.8589478Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T21:55:58.8589843Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T21:55:58.8590206Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward 2025-08-14T21:55:58.8590587Z layer_output = self.output(intermediate_output, attention_output) 2025-08-14T21:55:58.8590967Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward 2025-08-14T21:55:58.8591311Z hidden_states = self.dense(hidden_states) 2025-08-14T21:55:58.8591441Z 2025-08-14T21:55:58.8591537Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8591893Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T21:55:58.8592245Z encoded_layers = self.encoder(embedding_output, 2025-08-14T21:55:58.8592588Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T21:55:58.8592953Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T21:55:58.8593314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-08-14T21:55:58.8593692Z attention_output = self.attention(hidden_states, attention_mask) 2025-08-14T21:55:58.8594062Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-08-14T21:55:58.8594420Z self_output = self.self(input_tensor, attention_mask) 2025-08-14T21:55:58.8594774Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward 2025-08-14T21:55:58.8595120Z mixed_query_layer = self.query(hidden_states) 2025-08-14T21:55:58.8595254Z 2025-08-14T21:55:58.8595353Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8595712Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T21:55:58.8596057Z encoded_layers = self.encoder(embedding_output, 2025-08-14T21:55:58.8596392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T21:55:58.8596762Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T21:55:58.8597123Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-08-14T21:55:58.8597507Z attention_output = self.attention(hidden_states, attention_mask) 2025-08-14T21:55:58.8597877Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-08-14T21:55:58.8598237Z self_output = self.self(input_tensor, attention_mask) 2025-08-14T21:55:58.8598624Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward 2025-08-14T21:55:58.8598964Z mixed_key_layer = self.key(hidden_states) 2025-08-14T21:55:58.8599095Z 2025-08-14T21:55:58.8599191Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8599551Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T21:55:58.8599904Z encoded_layers = self.encoder(embedding_output, 2025-08-14T21:55:58.8600239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T21:55:58.8600602Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T21:55:58.8600963Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-08-14T21:55:58.8601353Z attention_output = self.attention(hidden_states, attention_mask) 2025-08-14T21:55:58.8601732Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-08-14T21:55:58.8602123Z self_output = self.self(input_tensor, attention_mask) 2025-08-14T21:55:58.8602475Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward 2025-08-14T21:55:58.8602818Z mixed_value_layer = self.value(hidden_states) 2025-08-14T21:55:58.8602954Z 2025-08-14T21:55:58.8603032Z cudagraph partition due to non gpu ops 2025-08-14T21:55:58.8603233Z cudagraph partition due to non gpu ops 2025-08-14T21:55:58.8603457Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8603807Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T21:55:58.8604158Z encoded_layers = self.encoder(embedding_output, 2025-08-14T21:55:58.8604502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T21:55:58.8604874Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T21:55:58.8605233Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-08-14T21:55:58.8605616Z attention_output = self.attention(hidden_states, attention_mask) 2025-08-14T21:55:58.8605996Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward 2025-08-14T21:55:58.8606543Z attention_output = self.output(self_output, input_tensor) 2025-08-14T21:55:58.8606913Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward 2025-08-14T21:55:58.8607258Z hidden_states = self.dense(hidden_states) 2025-08-14T21:55:58.8607390Z 2025-08-14T21:55:58.8607497Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8607854Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T21:55:58.8608217Z encoded_layers = self.encoder(embedding_output, 2025-08-14T21:55:58.8608567Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T21:55:58.8608935Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T21:55:58.8609296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-08-14T21:55:58.8609673Z intermediate_output = self.intermediate(attention_output) 2025-08-14T21:55:58.8610043Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward 2025-08-14T21:55:58.8610387Z hidden_states = self.dense(hidden_states) 2025-08-14T21:55:58.8610526Z 2025-08-14T21:55:58.8610623Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8611049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T21:55:58.8611414Z encoded_layers = self.encoder(embedding_output, 2025-08-14T21:55:58.8611755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T21:55:58.8612120Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T21:55:58.8612486Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-08-14T21:55:58.8612863Z intermediate_output = self.intermediate(attention_output) 2025-08-14T21:55:58.8613227Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward 2025-08-14T21:55:58.8613594Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-08-14T21:55:58.8613955Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu 2025-08-14T21:55:58.8614303Z return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0))) 2025-08-14T21:55:58.8614520Z 2025-08-14T21:55:58.8614619Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8614986Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T21:55:58.8615337Z encoded_layers = self.encoder(embedding_output, 2025-08-14T21:55:58.8615678Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T21:55:58.8616052Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T21:55:58.8616422Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward 2025-08-14T21:55:58.8616806Z layer_output = self.output(intermediate_output, attention_output) 2025-08-14T21:55:58.8617188Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward 2025-08-14T21:55:58.8617533Z hidden_states = self.dense(hidden_states) 2025-08-14T21:55:58.8617673Z 2025-08-14T21:55:58.8617781Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8618136Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T21:55:58.8618495Z encoded_layers = self.encoder(embedding_output, 2025-08-14T21:55:58.8618845Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T21:55:58.8619217Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T21:55:58.8619572Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-08-14T21:55:58.8620018Z attention_output = self.attention(hidden_states, attention_mask) 2025-08-14T21:55:58.8620405Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-08-14T21:55:58.8620778Z self_output = self.self(input_tensor, attention_mask) 2025-08-14T21:55:58.8621134Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward 2025-08-14T21:55:58.8621484Z mixed_query_layer = self.query(hidden_states) 2025-08-14T21:55:58.8621625Z 2025-08-14T21:55:58.8621732Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8622083Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T21:55:58.8622447Z encoded_layers = self.encoder(embedding_output, 2025-08-14T21:55:58.8622798Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T21:55:58.8623179Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T21:55:58.8623537Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-08-14T21:55:58.8623972Z attention_output = self.attention(hidden_states, attention_mask) 2025-08-14T21:55:58.8624354Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-08-14T21:55:58.8624710Z self_output = self.self(input_tensor, attention_mask) 2025-08-14T21:55:58.8625055Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward 2025-08-14T21:55:58.8625392Z mixed_key_layer = self.key(hidden_states) 2025-08-14T21:55:58.8625521Z 2025-08-14T21:55:58.8625623Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8625970Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T21:55:58.8626318Z encoded_layers = self.encoder(embedding_output, 2025-08-14T21:55:58.8626657Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T21:55:58.8627027Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T21:55:58.8627416Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-08-14T21:55:58.8627794Z attention_output = self.attention(hidden_states, attention_mask) 2025-08-14T21:55:58.8628166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-08-14T21:55:58.8628520Z self_output = self.self(input_tensor, attention_mask) 2025-08-14T21:55:58.8628865Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward 2025-08-14T21:55:58.8629212Z mixed_value_layer = self.value(hidden_states) 2025-08-14T21:55:58.8629346Z 2025-08-14T21:55:58.8629433Z cudagraph partition due to non gpu ops 2025-08-14T21:55:58.8629629Z cudagraph partition due to non gpu ops 2025-08-14T21:55:58.8629853Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8630214Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T21:55:58.8630569Z encoded_layers = self.encoder(embedding_output, 2025-08-14T21:55:58.8630909Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T21:55:58.8631279Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T21:55:58.8631640Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-08-14T21:55:58.8632024Z attention_output = self.attention(hidden_states, attention_mask) 2025-08-14T21:55:58.8632394Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward 2025-08-14T21:55:58.8632760Z attention_output = self.output(self_output, input_tensor) 2025-08-14T21:55:58.8633125Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward 2025-08-14T21:55:58.8633465Z hidden_states = self.dense(hidden_states) 2025-08-14T21:55:58.8633602Z 2025-08-14T21:55:58.8633710Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8634067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T21:55:58.8634419Z encoded_layers = self.encoder(embedding_output, 2025-08-14T21:55:58.8634757Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T21:55:58.8635127Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T21:55:58.8635490Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-08-14T21:55:58.8635864Z intermediate_output = self.intermediate(attention_output) 2025-08-14T21:55:58.8636271Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward 2025-08-14T21:55:58.8636620Z hidden_states = self.dense(hidden_states) 2025-08-14T21:55:58.8636747Z 2025-08-14T21:55:58.8636852Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8637199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T21:55:58.8637549Z encoded_layers = self.encoder(embedding_output, 2025-08-14T21:55:58.8637895Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T21:55:58.8638267Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T21:55:58.8638626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-08-14T21:55:58.8638997Z intermediate_output = self.intermediate(attention_output) 2025-08-14T21:55:58.8639364Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward 2025-08-14T21:55:58.8639760Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-08-14T21:55:58.8640112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu 2025-08-14T21:55:58.8640465Z return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0))) 2025-08-14T21:55:58.8640608Z 2025-08-14T21:55:58.8640710Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8641065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T21:55:58.8641414Z encoded_layers = self.encoder(embedding_output, 2025-08-14T21:55:58.8641759Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T21:55:58.8642121Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T21:55:58.8642474Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward 2025-08-14T21:55:58.8642862Z layer_output = self.output(intermediate_output, attention_output) 2025-08-14T21:55:58.8643241Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward 2025-08-14T21:55:58.8643582Z hidden_states = self.dense(hidden_states) 2025-08-14T21:55:58.8643715Z 2025-08-14T21:55:58.8643814Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8644173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T21:55:58.8644519Z encoded_layers = self.encoder(embedding_output, 2025-08-14T21:55:58.8644856Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T21:55:58.8645222Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T21:55:58.8645590Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-08-14T21:55:58.8645973Z attention_output = self.attention(hidden_states, attention_mask) 2025-08-14T21:55:58.8646346Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-08-14T21:55:58.8646702Z self_output = self.self(input_tensor, attention_mask) 2025-08-14T21:55:58.8647057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward 2025-08-14T21:55:58.8647401Z mixed_query_layer = self.query(hidden_states) 2025-08-14T21:55:58.8647537Z 2025-08-14T21:55:58.8647634Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8647987Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T21:55:58.8648343Z encoded_layers = self.encoder(embedding_output, 2025-08-14T21:55:58.8648728Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T21:55:58.8649099Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T21:55:58.8649459Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-08-14T21:55:58.8649838Z attention_output = self.attention(hidden_states, attention_mask) 2025-08-14T21:55:58.8650205Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-08-14T21:55:58.8650592Z self_output = self.self(input_tensor, attention_mask) 2025-08-14T21:55:58.8650943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward 2025-08-14T21:55:58.8651293Z mixed_key_layer = self.key(hidden_states) 2025-08-14T21:55:58.8651425Z 2025-08-14T21:55:58.8651521Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8651886Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T21:55:58.8652302Z encoded_layers = self.encoder(embedding_output, 2025-08-14T21:55:58.8652636Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T21:55:58.8653002Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T21:55:58.8653373Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-08-14T21:55:58.8653753Z attention_output = self.attention(hidden_states, attention_mask) 2025-08-14T21:55:58.8654120Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-08-14T21:55:58.8654482Z self_output = self.self(input_tensor, attention_mask) 2025-08-14T21:55:58.8654833Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward 2025-08-14T21:55:58.8655179Z mixed_value_layer = self.value(hidden_states) 2025-08-14T21:55:58.8655315Z 2025-08-14T21:55:58.8655394Z cudagraph partition due to non gpu ops 2025-08-14T21:55:58.8655596Z cudagraph partition due to non gpu ops 2025-08-14T21:55:58.8655817Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8656165Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T21:55:58.8656515Z encoded_layers = self.encoder(embedding_output, 2025-08-14T21:55:58.8656860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T21:55:58.8657223Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T21:55:58.8657574Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-08-14T21:55:58.8657955Z attention_output = self.attention(hidden_states, attention_mask) 2025-08-14T21:55:58.8658333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward 2025-08-14T21:55:58.8658696Z attention_output = self.output(self_output, input_tensor) 2025-08-14T21:55:58.8659059Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward 2025-08-14T21:55:58.8659395Z hidden_states = self.dense(hidden_states) 2025-08-14T21:55:58.8659525Z 2025-08-14T21:55:58.8659625Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8660105Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T21:55:58.8660460Z encoded_layers = self.encoder(embedding_output, 2025-08-14T21:55:58.8660811Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T21:55:58.8661182Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T21:55:58.8661590Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-08-14T21:55:58.8661970Z intermediate_output = self.intermediate(attention_output) 2025-08-14T21:55:58.8662339Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward 2025-08-14T21:55:58.8662672Z hidden_states = self.dense(hidden_states) 2025-08-14T21:55:58.8662808Z 2025-08-14T21:55:58.8662902Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8663259Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T21:55:58.8663608Z encoded_layers = self.encoder(embedding_output, 2025-08-14T21:55:58.8663950Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T21:55:58.8664318Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T21:55:58.8664684Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-08-14T21:55:58.8665096Z intermediate_output = self.intermediate(attention_output) 2025-08-14T21:55:58.8665452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward 2025-08-14T21:55:58.8665817Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-08-14T21:55:58.8666177Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu 2025-08-14T21:55:58.8666521Z return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0))) 2025-08-14T21:55:58.8666670Z 2025-08-14T21:55:58.8666765Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8667123Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T21:55:58.8667469Z encoded_layers = self.encoder(embedding_output, 2025-08-14T21:55:58.8667808Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T21:55:58.8668173Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T21:55:58.8668537Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward 2025-08-14T21:55:58.8668920Z layer_output = self.output(intermediate_output, attention_output) 2025-08-14T21:55:58.8669289Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward 2025-08-14T21:55:58.8669628Z hidden_states = self.dense(hidden_states) 2025-08-14T21:55:58.8669756Z 2025-08-14T21:55:58.8669860Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8670204Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T21:55:58.8670555Z encoded_layers = self.encoder(embedding_output, 2025-08-14T21:55:58.8670901Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T21:55:58.8671265Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T21:55:58.8671616Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-08-14T21:55:58.8671995Z attention_output = self.attention(hidden_states, attention_mask) 2025-08-14T21:55:58.8672367Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-08-14T21:55:58.8672718Z self_output = self.self(input_tensor, attention_mask) 2025-08-14T21:55:58.8673063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward 2025-08-14T21:55:58.8673404Z mixed_query_layer = self.query(hidden_states) 2025-08-14T21:55:58.8673539Z 2025-08-14T21:55:58.8673679Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8674031Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T21:55:58.8674380Z encoded_layers = self.encoder(embedding_output, 2025-08-14T21:55:58.8674723Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T21:55:58.8675088Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T21:55:58.8675444Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-08-14T21:55:58.8675825Z attention_output = self.attention(hidden_states, attention_mask) 2025-08-14T21:55:58.8676202Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-08-14T21:55:58.8676558Z self_output = self.self(input_tensor, attention_mask) 2025-08-14T21:55:58.8676908Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward 2025-08-14T21:55:58.8677279Z mixed_key_layer = self.key(hidden_states) 2025-08-14T21:55:58.8677406Z 2025-08-14T21:55:58.8677509Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8677860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T21:55:58.8678209Z encoded_layers = self.encoder(embedding_output, 2025-08-14T21:55:58.8678552Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T21:55:58.8678919Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T21:55:58.8679275Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-08-14T21:55:58.8679660Z attention_output = self.attention(hidden_states, attention_mask) 2025-08-14T21:55:58.8680042Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-08-14T21:55:58.8680402Z self_output = self.self(input_tensor, attention_mask) 2025-08-14T21:55:58.8680749Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward 2025-08-14T21:55:58.8681100Z mixed_value_layer = self.value(hidden_states) 2025-08-14T21:55:58.8681238Z 2025-08-14T21:55:58.8681323Z cudagraph partition due to non gpu ops 2025-08-14T21:55:58.8681523Z cudagraph partition due to non gpu ops 2025-08-14T21:55:58.8681747Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8682103Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T21:55:58.8682453Z encoded_layers = self.encoder(embedding_output, 2025-08-14T21:55:58.8682791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T21:55:58.8683158Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T21:55:58.8683526Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-08-14T21:55:58.8683905Z attention_output = self.attention(hidden_states, attention_mask) 2025-08-14T21:55:58.8684280Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward 2025-08-14T21:55:58.8684649Z attention_output = self.output(self_output, input_tensor) 2025-08-14T21:55:58.8685013Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward 2025-08-14T21:55:58.8685346Z hidden_states = self.dense(hidden_states) 2025-08-14T21:55:58.8685482Z 2025-08-14T21:55:58.8685578Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8685970Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T21:55:58.8686323Z encoded_layers = self.encoder(embedding_output, 2025-08-14T21:55:58.8686666Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T21:55:58.8687036Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T21:55:58.8687402Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-08-14T21:55:58.8687776Z intermediate_output = self.intermediate(attention_output) 2025-08-14T21:55:58.8688146Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward 2025-08-14T21:55:58.8688487Z hidden_states = self.dense(hidden_states) 2025-08-14T21:55:58.8688616Z 2025-08-14T21:55:58.8688720Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8689072Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T21:55:58.8689455Z encoded_layers = self.encoder(embedding_output, 2025-08-14T21:55:58.8689795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T21:55:58.8690158Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T21:55:58.8690510Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-08-14T21:55:58.8690877Z intermediate_output = self.intermediate(attention_output) 2025-08-14T21:55:58.8691239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward 2025-08-14T21:55:58.8691602Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-08-14T21:55:58.8691950Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu 2025-08-14T21:55:58.8692295Z return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0))) 2025-08-14T21:55:58.8692438Z 2025-08-14T21:55:58.8692547Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8692900Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T21:55:58.8693249Z encoded_layers = self.encoder(embedding_output, 2025-08-14T21:55:58.8693597Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T21:55:58.8693958Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T21:55:58.8694310Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward 2025-08-14T21:55:58.8694695Z layer_output = self.output(intermediate_output, attention_output) 2025-08-14T21:55:58.8695071Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward 2025-08-14T21:55:58.8695410Z hidden_states = self.dense(hidden_states) 2025-08-14T21:55:58.8695543Z 2025-08-14T21:55:58.8695639Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8696004Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T21:55:58.8696357Z encoded_layers = self.encoder(embedding_output, 2025-08-14T21:55:58.8696696Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T21:55:58.8697065Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T21:55:58.8697427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-08-14T21:55:58.8697805Z attention_output = self.attention(hidden_states, attention_mask) 2025-08-14T21:55:58.8698171Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-08-14T21:55:58.8698565Z self_output = self.self(input_tensor, attention_mask) 2025-08-14T21:55:58.8698919Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward 2025-08-14T21:55:58.8699260Z mixed_query_layer = self.query(hidden_states) 2025-08-14T21:55:58.8699397Z 2025-08-14T21:55:58.8699493Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8699924Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T21:55:58.8700283Z encoded_layers = self.encoder(embedding_output, 2025-08-14T21:55:58.8700624Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T21:55:58.8700994Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T21:55:58.8701358Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-08-14T21:55:58.8701747Z attention_output = self.attention(hidden_states, attention_mask) 2025-08-14T21:55:58.8702158Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-08-14T21:55:58.8702517Z self_output = self.self(input_tensor, attention_mask) 2025-08-14T21:55:58.8702870Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward 2025-08-14T21:55:58.8703209Z mixed_key_layer = self.key(hidden_states) 2025-08-14T21:55:58.8703337Z 2025-08-14T21:55:58.8703434Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8703790Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T21:55:58.8704141Z encoded_layers = self.encoder(embedding_output, 2025-08-14T21:55:58.8704476Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T21:55:58.8704845Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T21:55:58.8705205Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-08-14T21:55:58.8705583Z attention_output = self.attention(hidden_states, attention_mask) 2025-08-14T21:55:58.8705948Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-08-14T21:55:58.8706477Z self_output = self.self(input_tensor, attention_mask) 2025-08-14T21:55:58.8706836Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward 2025-08-14T21:55:58.8707181Z mixed_value_layer = self.value(hidden_states) 2025-08-14T21:55:58.8707317Z 2025-08-14T21:55:58.8707397Z cudagraph partition due to non gpu ops 2025-08-14T21:55:58.8707604Z cudagraph partition due to non gpu ops 2025-08-14T21:55:58.8707827Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8708183Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T21:55:58.8708549Z encoded_layers = self.encoder(embedding_output, 2025-08-14T21:55:58.8708896Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T21:55:58.8709262Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T21:55:58.8709619Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-08-14T21:55:58.8710002Z attention_output = self.attention(hidden_states, attention_mask) 2025-08-14T21:55:58.8710382Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward 2025-08-14T21:55:58.8710739Z attention_output = self.output(self_output, input_tensor) 2025-08-14T21:55:58.8711183Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward 2025-08-14T21:55:58.8711530Z hidden_states = self.dense(hidden_states) 2025-08-14T21:55:58.8711658Z 2025-08-14T21:55:58.8711764Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8712113Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T21:55:58.8712467Z encoded_layers = self.encoder(embedding_output, 2025-08-14T21:55:58.8712817Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T21:55:58.8713192Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T21:55:58.8713553Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-08-14T21:55:58.8713933Z intermediate_output = self.intermediate(attention_output) 2025-08-14T21:55:58.8714308Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward 2025-08-14T21:55:58.8714700Z hidden_states = self.dense(hidden_states) 2025-08-14T21:55:58.8714835Z 2025-08-14T21:55:58.8714930Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8715287Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T21:55:58.8715634Z encoded_layers = self.encoder(embedding_output, 2025-08-14T21:55:58.8715973Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T21:55:58.8716341Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T21:55:58.8716704Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-08-14T21:55:58.8717072Z intermediate_output = self.intermediate(attention_output) 2025-08-14T21:55:58.8717429Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward 2025-08-14T21:55:58.8717795Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-08-14T21:55:58.8718150Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu 2025-08-14T21:55:58.8718490Z return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0))) 2025-08-14T21:55:58.8718638Z 2025-08-14T21:55:58.8718734Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8719088Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T21:55:58.8719441Z encoded_layers = self.encoder(embedding_output, 2025-08-14T21:55:58.8719777Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T21:55:58.8720146Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T21:55:58.8720509Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward 2025-08-14T21:55:58.8720894Z layer_output = self.output(intermediate_output, attention_output) 2025-08-14T21:55:58.8721263Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward 2025-08-14T21:55:58.8721598Z hidden_states = self.dense(hidden_states) 2025-08-14T21:55:58.8721725Z 2025-08-14T21:55:58.8721829Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8722184Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T21:55:58.8722530Z encoded_layers = self.encoder(embedding_output, 2025-08-14T21:55:58.8722871Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T21:55:58.8723231Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T21:55:58.8723617Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-08-14T21:55:58.8724003Z attention_output = self.attention(hidden_states, attention_mask) 2025-08-14T21:55:58.8724376Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-08-14T21:55:58.8724727Z self_output = self.self(input_tensor, attention_mask) 2025-08-14T21:55:58.8725072Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward 2025-08-14T21:55:58.8725415Z mixed_query_layer = self.query(hidden_states) 2025-08-14T21:55:58.8725549Z 2025-08-14T21:55:58.8725655Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8726000Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T21:55:58.8726344Z encoded_layers = self.encoder(embedding_output, 2025-08-14T21:55:58.8726692Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T21:55:58.8727090Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T21:55:58.8727446Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-08-14T21:55:58.8727825Z attention_output = self.attention(hidden_states, attention_mask) 2025-08-14T21:55:58.8728204Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-08-14T21:55:58.8728561Z self_output = self.self(input_tensor, attention_mask) 2025-08-14T21:55:58.8728907Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward 2025-08-14T21:55:58.8729250Z mixed_key_layer = self.key(hidden_states) 2025-08-14T21:55:58.8729377Z 2025-08-14T21:55:58.8729483Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8729837Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T21:55:58.8730189Z encoded_layers = self.encoder(embedding_output, 2025-08-14T21:55:58.8730535Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T21:55:58.8730897Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T21:55:58.8731250Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-08-14T21:55:58.8731629Z attention_output = self.attention(hidden_states, attention_mask) 2025-08-14T21:55:58.8732013Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-08-14T21:55:58.8732369Z self_output = self.self(input_tensor, attention_mask) 2025-08-14T21:55:58.8732714Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward 2025-08-14T21:55:58.8733060Z mixed_value_layer = self.value(hidden_states) 2025-08-14T21:55:58.8733199Z 2025-08-14T21:55:58.8733282Z cudagraph partition due to non gpu ops 2025-08-14T21:55:58.8733478Z cudagraph partition due to non gpu ops 2025-08-14T21:55:58.8733702Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8734065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T21:55:58.8734415Z encoded_layers = self.encoder(embedding_output, 2025-08-14T21:55:58.8734750Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T21:55:58.8735113Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T21:55:58.8735479Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-08-14T21:55:58.8735863Z attention_output = self.attention(hidden_states, attention_mask) 2025-08-14T21:55:58.8736267Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward 2025-08-14T21:55:58.8736638Z attention_output = self.output(self_output, input_tensor) 2025-08-14T21:55:58.8737000Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward 2025-08-14T21:55:58.8737332Z hidden_states = self.dense(hidden_states) 2025-08-14T21:55:58.8737471Z 2025-08-14T21:55:58.8737568Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8737921Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T21:55:58.8738265Z encoded_layers = self.encoder(embedding_output, 2025-08-14T21:55:58.8738601Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T21:55:58.8738965Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T21:55:58.8739330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-08-14T21:55:58.8739843Z intermediate_output = self.intermediate(attention_output) 2025-08-14T21:55:58.8740220Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward 2025-08-14T21:55:58.8740565Z hidden_states = self.dense(hidden_states) 2025-08-14T21:55:58.8740695Z 2025-08-14T21:55:58.8740801Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8741156Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T21:55:58.8741511Z encoded_layers = self.encoder(embedding_output, 2025-08-14T21:55:58.8741861Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T21:55:58.8742228Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T21:55:58.8742594Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-08-14T21:55:58.8742973Z intermediate_output = self.intermediate(attention_output) 2025-08-14T21:55:58.8743341Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward 2025-08-14T21:55:58.8743706Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-08-14T21:55:58.8744058Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu 2025-08-14T21:55:58.8744414Z return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0))) 2025-08-14T21:55:58.8744558Z 2025-08-14T21:55:58.8744665Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8745017Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T21:55:58.8745371Z encoded_layers = self.encoder(embedding_output, 2025-08-14T21:55:58.8745725Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T21:55:58.8746096Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T21:55:58.8746464Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward 2025-08-14T21:55:58.8746848Z layer_output = self.output(intermediate_output, attention_output) 2025-08-14T21:55:58.8747229Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward 2025-08-14T21:55:58.8747569Z hidden_states = self.dense(hidden_states) 2025-08-14T21:55:58.8747699Z 2025-08-14T21:55:58.8747797Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8748157Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 518, in forward 2025-08-14T21:55:58.8748511Z pooled_output = self.pooler(sequence_output) 2025-08-14T21:55:58.8748891Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 404, in forward 2025-08-14T21:55:58.8749244Z pooled_output = self.dense(first_token_tensor) 2025-08-14T21:55:58.8749387Z 2025-08-14T21:55:58.8749483Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:55:58.8749834Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 518, in forward 2025-08-14T21:55:58.8750170Z pooled_output = self.pooler(sequence_output) 2025-08-14T21:55:58.8750510Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 405, in forward 2025-08-14T21:55:58.8750858Z pooled_output = self.activation(pooled_output) 2025-08-14T21:55:58.8750998Z 2025-08-14T21:56:01.2216226Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:01.2217023Z 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 2025-08-14T21:56:01.2217879Z return self.dropout(outputs) 2025-08-14T21:56:01.2218240Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/embeddings/embedding.py", line 160, in dropout 2025-08-14T21:56:01.2218615Z return self.dropout_layer(words) 2025-08-14T21:56:01.2218753Z 2025-08-14T21:56:01.8322374Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:01.8326740Z 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 2025-08-14T21:56:01.8330890Z logits = self.qa_outputs(sequence_output) # [batch_size, seq_len, num_labels] 2025-08-14T21:56:01.8334835Z 2025-08-14T21:56:02.1145457Z Compilation time (from dynamo_timed): 15.096088227 2025-08-14T21:56:02.1149627Z pass 2025-08-14T21:56:02.1150184Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T21:56:02.1151221Z TIMING: gc:0.00522 entire_frame_compile:15.09609 _recursive_pre_grad_passes:0.0087 _recursive_joint_graph_passes:0.45004 _recursive_post_grad_passes:0.06883 async_compile.wait:1.68533 code_gen:8.22971 inductor_compile:9.19905 backend_compile:12.53164 total_wall_time:15.09609 2025-08-14T21:56:02.1152186Z STATS: call_* op count: 440 | FakeTensorMode.__torch_dispatch__:15838 | ProxyTorchDispatchMode.__torch_dispatch__:6097 | FakeTensor.__torch_dispatch__:4506 2025-08-14T21:56:02.1152724Z Dynamo produced 4 graphs covering 440 ops with 4 graph breaks (1 unique) 2025-08-14T21:56:05.8643198Z 2025-08-14T21:56:06.1818656Z loading model: 0it [00:00, ?it/s] 2025-08-14T21:56:06.1819067Z loading model: 0it [00:00, ?it/s] 2025-08-14T21:56:06.1819351Z cpu eval functorch_dp_cifar10 2025-08-14T21:56:06.2096012Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T21:56:06.2257600Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T21:56:06.2396603Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T21:56:10.0099812Z cudagraph partition due to non gpu ops 2025-08-14T21:56:10.0100453Z cudagraph partition due to non gpu ops 2025-08-14T21:56:10.0104018Z cudagraph partition due to non gpu ops 2025-08-14T21:56:10.0109124Z cudagraph partition due to non gpu ops 2025-08-14T21:56:10.0114285Z cudagraph partition due to non gpu ops 2025-08-14T21:56:10.0118540Z cudagraph partition due to non gpu ops 2025-08-14T21:56:10.0123061Z cudagraph partition due to non gpu ops 2025-08-14T21:56:10.0128480Z cudagraph partition due to non gpu ops 2025-08-14T21:56:10.0133307Z cudagraph partition due to non gpu ops 2025-08-14T21:56:10.0137343Z cudagraph partition due to non gpu ops 2025-08-14T21:56:10.0137653Z cudagraph partition due to non gpu ops 2025-08-14T21:56:10.0137873Z cudagraph partition due to non gpu ops 2025-08-14T21:56:10.0138082Z cudagraph partition due to non gpu ops 2025-08-14T21:56:10.0138680Z cudagraph partition due to non gpu ops 2025-08-14T21:56:10.0138903Z cudagraph partition due to non gpu ops 2025-08-14T21:56:10.0139099Z cudagraph partition due to non gpu ops 2025-08-14T21:56:10.0139289Z cudagraph partition due to non gpu ops 2025-08-14T21:56:10.0139490Z cudagraph partition due to non gpu ops 2025-08-14T21:56:10.0139844Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:10.0140244Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:56:10.0140632Z return mod(*inputs) 2025-08-14T21:56:10.0140993Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T21:56:10.0141355Z return self._forward_impl(x) 2025-08-14T21:56:10.0141691Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 268, in _forward_impl 2025-08-14T21:56:10.0142033Z x = self.conv1(x) 2025-08-14T21:56:10.0142134Z 2025-08-14T21:56:10.0142243Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:10.0142696Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:56:10.0143007Z return mod(*inputs) 2025-08-14T21:56:10.0143317Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T21:56:10.0143650Z return self._forward_impl(x) 2025-08-14T21:56:10.0143982Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 270, in _forward_impl 2025-08-14T21:56:10.0144319Z x = self.relu(x) 2025-08-14T21:56:10.0144415Z 2025-08-14T21:56:10.0144522Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:10.0144857Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:56:10.0145165Z return mod(*inputs) 2025-08-14T21:56:10.0145474Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T21:56:10.0145809Z return self._forward_impl(x) 2025-08-14T21:56:10.0146130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 271, in _forward_impl 2025-08-14T21:56:10.0146466Z x = self.maxpool(x) 2025-08-14T21:56:10.0146564Z 2025-08-14T21:56:10.0146667Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:10.0147002Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:56:10.0147300Z return mod(*inputs) 2025-08-14T21:56:10.0147599Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T21:56:10.0147924Z return self._forward_impl(x) 2025-08-14T21:56:10.0148245Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-08-14T21:56:10.0148579Z x = self.layer1(x) 2025-08-14T21:56:10.0148881Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward 2025-08-14T21:56:10.0149202Z out = self.conv1(x) 2025-08-14T21:56:10.0149298Z 2025-08-14T21:56:10.0149398Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:10.0149736Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:56:10.0150037Z return mod(*inputs) 2025-08-14T21:56:10.0150328Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T21:56:10.0150652Z return self._forward_impl(x) 2025-08-14T21:56:10.0150980Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-08-14T21:56:10.0151311Z x = self.layer1(x) 2025-08-14T21:56:10.0151605Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 94, in forward 2025-08-14T21:56:10.0151973Z out = self.relu(out) 2025-08-14T21:56:10.0152083Z 2025-08-14T21:56:10.0152191Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:10.0152521Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:56:10.0152824Z return mod(*inputs) 2025-08-14T21:56:10.0153126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T21:56:10.0153452Z return self._forward_impl(x) 2025-08-14T21:56:10.0153777Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-08-14T21:56:10.0154112Z x = self.layer1(x) 2025-08-14T21:56:10.0154412Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward 2025-08-14T21:56:10.0154729Z out = self.conv2(out) 2025-08-14T21:56:10.0154845Z 2025-08-14T21:56:10.0154946Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:10.0155396Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:56:10.0155781Z return mod(*inputs) 2025-08-14T21:56:10.0156074Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T21:56:10.0156397Z return self._forward_impl(x) 2025-08-14T21:56:10.0156736Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-08-14T21:56:10.0157056Z x = self.layer1(x) 2025-08-14T21:56:10.0157349Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 103, in forward 2025-08-14T21:56:10.0157664Z out = self.relu(out) 2025-08-14T21:56:10.0157763Z 2025-08-14T21:56:10.0157866Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:10.0158197Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:56:10.0158505Z return mod(*inputs) 2025-08-14T21:56:10.0158801Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T21:56:10.0159117Z return self._forward_impl(x) 2025-08-14T21:56:10.0159441Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-08-14T21:56:10.0159769Z x = self.layer1(x) 2025-08-14T21:56:10.0160061Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward 2025-08-14T21:56:10.0160369Z out = self.conv1(x) 2025-08-14T21:56:10.0160468Z 2025-08-14T21:56:10.0160564Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:10.0160900Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:56:10.0161194Z return mod(*inputs) 2025-08-14T21:56:10.0161495Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T21:56:10.0161820Z return self._forward_impl(x) 2025-08-14T21:56:10.0162150Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-08-14T21:56:10.0162475Z x = self.layer1(x) 2025-08-14T21:56:10.0162783Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 94, in forward 2025-08-14T21:56:10.0163114Z out = self.relu(out) 2025-08-14T21:56:10.0163224Z 2025-08-14T21:56:10.0163324Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:10.0163667Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:56:10.0164004Z return mod(*inputs) 2025-08-14T21:56:10.0164298Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T21:56:10.0164611Z return self._forward_impl(x) 2025-08-14T21:56:10.0164972Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-08-14T21:56:10.0165306Z x = self.layer1(x) 2025-08-14T21:56:10.0165589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward 2025-08-14T21:56:10.0165908Z out = self.conv2(out) 2025-08-14T21:56:10.0166017Z 2025-08-14T21:56:10.0166115Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:10.0166448Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:56:10.0166740Z return mod(*inputs) 2025-08-14T21:56:10.0167035Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T21:56:10.0167359Z return self._forward_impl(x) 2025-08-14T21:56:10.0167681Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-08-14T21:56:10.0168022Z x = self.layer1(x) 2025-08-14T21:56:10.0168352Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 103, in forward 2025-08-14T21:56:10.0168669Z out = self.relu(out) 2025-08-14T21:56:10.0168768Z 2025-08-14T21:56:10.0168864Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:10.0169199Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:56:10.0169499Z return mod(*inputs) 2025-08-14T21:56:10.0169787Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T21:56:10.0170109Z return self._forward_impl(x) 2025-08-14T21:56:10.0170435Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-08-14T21:56:10.0170764Z x = self.layer2(x) 2025-08-14T21:56:10.0171055Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward 2025-08-14T21:56:10.0171372Z out = self.conv1(x) 2025-08-14T21:56:10.0171465Z 2025-08-14T21:56:10.0171570Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:10.0171902Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:56:10.0172194Z return mod(*inputs) 2025-08-14T21:56:10.0172489Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T21:56:10.0172809Z return self._forward_impl(x) 2025-08-14T21:56:10.0173126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-08-14T21:56:10.0173455Z x = self.layer2(x) 2025-08-14T21:56:10.0173746Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 94, in forward 2025-08-14T21:56:10.0174054Z out = self.relu(out) 2025-08-14T21:56:10.0174159Z 2025-08-14T21:56:10.0174259Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:10.0174595Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:56:10.0174895Z return mod(*inputs) 2025-08-14T21:56:10.0175188Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T21:56:10.0175514Z return self._forward_impl(x) 2025-08-14T21:56:10.0175838Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-08-14T21:56:10.0176169Z x = self.layer2(x) 2025-08-14T21:56:10.0176452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward 2025-08-14T21:56:10.0176770Z out = self.conv2(out) 2025-08-14T21:56:10.0176873Z 2025-08-14T21:56:10.0176977Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:10.0177361Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:56:10.0177666Z return mod(*inputs) 2025-08-14T21:56:10.0177964Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T21:56:10.0178287Z return self._forward_impl(x) 2025-08-14T21:56:10.0178609Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-08-14T21:56:10.0178937Z x = self.layer2(x) 2025-08-14T21:56:10.0179229Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 100, in forward 2025-08-14T21:56:10.0179552Z identity = self.downsample(x) 2025-08-14T21:56:10.0179785Z 2025-08-14T21:56:10.0179905Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:10.0180306Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:56:10.0180655Z return mod(*inputs) 2025-08-14T21:56:10.0180975Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T21:56:10.0181363Z return self._forward_impl(x) 2025-08-14T21:56:10.0181693Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-08-14T21:56:10.0182017Z x = self.layer2(x) 2025-08-14T21:56:10.0182327Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 103, in forward 2025-08-14T21:56:10.0182673Z out = self.relu(out) 2025-08-14T21:56:10.0182782Z 2025-08-14T21:56:10.0182895Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:10.0183248Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:56:10.0183568Z return mod(*inputs) 2025-08-14T21:56:10.0183890Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T21:56:10.0184230Z return self._forward_impl(x) 2025-08-14T21:56:10.0184586Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-08-14T21:56:10.0184939Z x = self.layer2(x) 2025-08-14T21:56:10.0185253Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward 2025-08-14T21:56:10.0185582Z out = self.conv1(x) 2025-08-14T21:56:10.0185691Z 2025-08-14T21:56:10.0185794Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:10.0186152Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:56:10.0186469Z return mod(*inputs) 2025-08-14T21:56:10.0186795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T21:56:10.0187140Z return self._forward_impl(x) 2025-08-14T21:56:10.0187491Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-08-14T21:56:10.0187847Z x = self.layer2(x) 2025-08-14T21:56:10.0188163Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 94, in forward 2025-08-14T21:56:10.0188502Z out = self.relu(out) 2025-08-14T21:56:10.0188608Z 2025-08-14T21:56:10.0188711Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:10.0189072Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:56:10.0189392Z return mod(*inputs) 2025-08-14T21:56:10.0189711Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T21:56:10.0190048Z return self._forward_impl(x) 2025-08-14T21:56:10.0190400Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-08-14T21:56:10.0190756Z x = self.layer2(x) 2025-08-14T21:56:10.0191094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward 2025-08-14T21:56:10.0191443Z out = self.conv2(out) 2025-08-14T21:56:10.0191560Z 2025-08-14T21:56:10.0191672Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:10.0192005Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:56:10.0192302Z return mod(*inputs) 2025-08-14T21:56:10.0192601Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T21:56:10.0192938Z return self._forward_impl(x) 2025-08-14T21:56:10.0193256Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-08-14T21:56:10.0193586Z x = self.layer2(x) 2025-08-14T21:56:10.0193880Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 103, in forward 2025-08-14T21:56:10.0194201Z out = self.relu(out) 2025-08-14T21:56:10.0194334Z 2025-08-14T21:56:10.0194432Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:10.0194761Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:56:10.0195062Z return mod(*inputs) 2025-08-14T21:56:10.0195351Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T21:56:10.0195672Z return self._forward_impl(x) 2025-08-14T21:56:10.0195997Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-08-14T21:56:10.0196331Z x = self.layer3(x) 2025-08-14T21:56:10.0196614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward 2025-08-14T21:56:10.0196932Z out = self.conv1(x) 2025-08-14T21:56:10.0197025Z 2025-08-14T21:56:10.0197130Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:10.0197457Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:56:10.0197758Z return mod(*inputs) 2025-08-14T21:56:10.0198051Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T21:56:10.0198372Z return self._forward_impl(x) 2025-08-14T21:56:10.0198687Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-08-14T21:56:10.0199017Z x = self.layer3(x) 2025-08-14T21:56:10.0199306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 94, in forward 2025-08-14T21:56:10.0199616Z out = self.relu(out) 2025-08-14T21:56:10.0199722Z 2025-08-14T21:56:10.0199818Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:10.0200149Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:56:10.0200451Z return mod(*inputs) 2025-08-14T21:56:10.0200738Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T21:56:10.0201056Z return self._forward_impl(x) 2025-08-14T21:56:10.0201379Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-08-14T21:56:10.0201701Z x = self.layer3(x) 2025-08-14T21:56:10.0201991Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward 2025-08-14T21:56:10.0202307Z out = self.conv2(out) 2025-08-14T21:56:10.0202408Z 2025-08-14T21:56:10.0202513Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:10.0202851Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:56:10.0203167Z return mod(*inputs) 2025-08-14T21:56:10.0203549Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T21:56:10.0203894Z return self._forward_impl(x) 2025-08-14T21:56:10.0204238Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-08-14T21:56:10.0204565Z x = self.layer3(x) 2025-08-14T21:56:10.0204858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 100, in forward 2025-08-14T21:56:10.0205181Z identity = self.downsample(x) 2025-08-14T21:56:10.0205307Z 2025-08-14T21:56:10.0205405Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:10.0205743Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:56:10.0206039Z return mod(*inputs) 2025-08-14T21:56:10.0206587Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T21:56:10.0206917Z return self._forward_impl(x) 2025-08-14T21:56:10.0207251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-08-14T21:56:10.0207646Z x = self.layer3(x) 2025-08-14T21:56:10.0207945Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 103, in forward 2025-08-14T21:56:10.0208262Z out = self.relu(out) 2025-08-14T21:56:10.0208363Z 2025-08-14T21:56:10.0208467Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:10.0208798Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:56:10.0209106Z return mod(*inputs) 2025-08-14T21:56:10.0209409Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T21:56:10.0213486Z return self._forward_impl(x) 2025-08-14T21:56:10.0213819Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-08-14T21:56:10.0214161Z x = self.layer3(x) 2025-08-14T21:56:10.0214451Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward 2025-08-14T21:56:10.0214769Z out = self.conv1(x) 2025-08-14T21:56:10.0214867Z 2025-08-14T21:56:10.0214973Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:10.0215303Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:56:10.0215607Z return mod(*inputs) 2025-08-14T21:56:10.0215904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T21:56:10.0216222Z return self._forward_impl(x) 2025-08-14T21:56:10.0216538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-08-14T21:56:10.0216905Z x = self.layer3(x) 2025-08-14T21:56:10.0217196Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 94, in forward 2025-08-14T21:56:10.0217515Z out = self.relu(out) 2025-08-14T21:56:10.0217613Z 2025-08-14T21:56:10.0217717Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:10.0218041Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:56:10.0218344Z return mod(*inputs) 2025-08-14T21:56:10.0218641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T21:56:10.0218970Z return self._forward_impl(x) 2025-08-14T21:56:10.0219288Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-08-14T21:56:10.0219705Z x = self.layer3(x) 2025-08-14T21:56:10.0220033Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward 2025-08-14T21:56:10.0220379Z out = self.conv2(out) 2025-08-14T21:56:10.0220499Z 2025-08-14T21:56:10.0220688Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:10.0221046Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:56:10.0221346Z return mod(*inputs) 2025-08-14T21:56:10.0221636Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T21:56:10.0221960Z return self._forward_impl(x) 2025-08-14T21:56:10.0222286Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-08-14T21:56:10.0222610Z x = self.layer3(x) 2025-08-14T21:56:10.0222905Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 103, in forward 2025-08-14T21:56:10.0223223Z out = self.relu(out) 2025-08-14T21:56:10.0223324Z 2025-08-14T21:56:10.0223429Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:10.0223761Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:56:10.0224081Z return mod(*inputs) 2025-08-14T21:56:10.0224377Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T21:56:10.0224687Z return self._forward_impl(x) 2025-08-14T21:56:10.0225010Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-08-14T21:56:10.0225338Z x = self.layer4(x) 2025-08-14T21:56:10.0225633Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward 2025-08-14T21:56:10.0225941Z out = self.conv1(x) 2025-08-14T21:56:10.0226042Z 2025-08-14T21:56:10.0226138Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:10.0226548Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:56:10.0226840Z return mod(*inputs) 2025-08-14T21:56:10.0227137Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T21:56:10.0227463Z return self._forward_impl(x) 2025-08-14T21:56:10.0227790Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-08-14T21:56:10.0228113Z x = self.layer4(x) 2025-08-14T21:56:10.0228411Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 94, in forward 2025-08-14T21:56:10.0228728Z out = self.relu(out) 2025-08-14T21:56:10.0228826Z 2025-08-14T21:56:10.0228923Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:10.0229259Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:56:10.0229562Z return mod(*inputs) 2025-08-14T21:56:10.0229860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T21:56:10.0230178Z return self._forward_impl(x) 2025-08-14T21:56:10.0230506Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-08-14T21:56:10.0230839Z x = self.layer4(x) 2025-08-14T21:56:10.0231122Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward 2025-08-14T21:56:10.0231441Z out = self.conv2(out) 2025-08-14T21:56:10.0231549Z 2025-08-14T21:56:10.0231646Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:10.0231979Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:56:10.0232270Z return mod(*inputs) 2025-08-14T21:56:10.0232563Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T21:56:10.0232886Z return self._forward_impl(x) 2025-08-14T21:56:10.0233203Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-08-14T21:56:10.0233562Z x = self.layer4(x) 2025-08-14T21:56:10.0233861Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 100, in forward 2025-08-14T21:56:10.0234198Z identity = self.downsample(x) 2025-08-14T21:56:10.0234318Z 2025-08-14T21:56:10.0234415Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:10.0234747Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:56:10.0235050Z return mod(*inputs) 2025-08-14T21:56:10.0235339Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T21:56:10.0235661Z return self._forward_impl(x) 2025-08-14T21:56:10.0235985Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-08-14T21:56:10.0236320Z x = self.layer4(x) 2025-08-14T21:56:10.0236606Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 103, in forward 2025-08-14T21:56:10.0236939Z out = self.relu(out) 2025-08-14T21:56:10.0237038Z 2025-08-14T21:56:10.0237141Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:10.0237476Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:56:10.0237770Z return mod(*inputs) 2025-08-14T21:56:10.0238067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T21:56:10.0238385Z return self._forward_impl(x) 2025-08-14T21:56:10.0238701Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-08-14T21:56:10.0239030Z x = self.layer4(x) 2025-08-14T21:56:10.0239356Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward 2025-08-14T21:56:10.0239662Z out = self.conv1(x) 2025-08-14T21:56:10.0239767Z 2025-08-14T21:56:10.0239867Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:10.0240199Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:56:10.0240499Z return mod(*inputs) 2025-08-14T21:56:10.0240787Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T21:56:10.0241112Z return self._forward_impl(x) 2025-08-14T21:56:10.0241438Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-08-14T21:56:10.0241772Z x = self.layer4(x) 2025-08-14T21:56:10.0242058Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 94, in forward 2025-08-14T21:56:10.0242385Z out = self.relu(out) 2025-08-14T21:56:10.0242487Z 2025-08-14T21:56:10.0242596Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:10.0242952Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:56:10.0243275Z return mod(*inputs) 2025-08-14T21:56:10.0243591Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T21:56:10.0243935Z return self._forward_impl(x) 2025-08-14T21:56:10.0244257Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-08-14T21:56:10.0244589Z x = self.layer4(x) 2025-08-14T21:56:10.0244884Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward 2025-08-14T21:56:10.0245202Z out = self.conv2(out) 2025-08-14T21:56:10.0245315Z 2025-08-14T21:56:10.0245414Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:10.0245762Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:56:10.0246072Z return mod(*inputs) 2025-08-14T21:56:10.0246407Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T21:56:10.0246741Z return self._forward_impl(x) 2025-08-14T21:56:10.0247079Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 278, in _forward_impl 2025-08-14T21:56:10.0247417Z x = self.avgpool(x) 2025-08-14T21:56:10.0247525Z 2025-08-14T21:56:10.0247624Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:10.0247967Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:56:10.0248277Z return mod(*inputs) 2025-08-14T21:56:10.0248576Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T21:56:10.0248907Z return self._forward_impl(x) 2025-08-14T21:56:10.0249248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 280, in _forward_impl 2025-08-14T21:56:10.0249600Z x = self.fc(x) 2025-08-14T21:56:10.0249701Z 2025-08-14T21:56:17.8842926Z Compilation time (from dynamo_timed): 10.571207623 2025-08-14T21:56:17.8843386Z pass 2025-08-14T21:56:17.8847878Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T21:56:17.8852541Z TIMING: _recursive_pre_grad_passes:0.00437 _recursive_joint_graph_passes:0.33196 _recursive_post_grad_passes:0.04608 async_compile.wait:0.64698 code_gen:7.71675 inductor_compile:8.34042 backend_compile:9.80883 gc:0.00049 entire_frame_compile:10.57121 total_wall_time:10.57121 2025-08-14T21:56:17.8853558Z STATS: call_* op count: 69 | FakeTensorMode.__torch_dispatch__:3561 | FakeTensor.__torch_dispatch__:2598 | ProxyTorchDispatchMode.__torch_dispatch__:1258 2025-08-14T21:56:17.8854256Z Dynamo produced 1 graphs covering 69 ops with 0 graph breaks (0 unique) 2025-08-14T21:56:21.0533187Z 2025-08-14T21:56:21.1940830Z loading model: 0it [00:00, ?it/s] 2025-08-14T21:56:21.1941292Z loading model: 0it [00:00, ?it/s] 2025-08-14T21:56:21.1944346Z cpu eval functorch_maml_omniglot 2025-08-14T21:56:21.1981915Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T21:56:21.2014579Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T21:56:21.2042469Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T21:56:23.2621506Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:23.2625327Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:56:23.2629597Z return mod(*inputs) 2025-08-14T21:56:23.2631460Z 2025-08-14T21:56:23.2636380Z cudagraph partition due to non gpu ops 2025-08-14T21:56:23.2640426Z cudagraph partition due to non gpu ops 2025-08-14T21:56:23.2642708Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:23.2643234Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:56:23.2647780Z return mod(*inputs) 2025-08-14T21:56:23.2651961Z 2025-08-14T21:56:23.2656540Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:23.2658790Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:56:23.2659249Z return mod(*inputs) 2025-08-14T21:56:23.2663628Z 2025-08-14T21:56:23.2668316Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:23.2673146Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:56:23.2676219Z return mod(*inputs) 2025-08-14T21:56:23.2676744Z 2025-08-14T21:56:23.2677033Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:23.2677450Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:56:23.2678164Z return mod(*inputs) 2025-08-14T21:56:23.2678296Z 2025-08-14T21:56:23.2678409Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:23.2678781Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:56:23.2679102Z return mod(*inputs) 2025-08-14T21:56:23.2679217Z 2025-08-14T21:56:23.2679326Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:23.2679685Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:56:23.2680005Z return mod(*inputs) 2025-08-14T21:56:23.2680117Z 2025-08-14T21:56:23.2680223Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:23.2680578Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:56:23.2680903Z return mod(*inputs) 2025-08-14T21:56:23.2681005Z 2025-08-14T21:56:23.2681108Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:23.2681463Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:56:23.2681833Z return mod(*inputs) 2025-08-14T21:56:23.2681931Z 2025-08-14T21:56:23.2682039Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:23.2682380Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:56:23.2682691Z return mod(*inputs) 2025-08-14T21:56:23.2682791Z 2025-08-14T21:56:29.2374469Z Compilation time (from dynamo_timed): 7.297284757 2025-08-14T21:56:29.2379216Z pass 2025-08-14T21:56:29.2381002Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T21:56:29.2381784Z TIMING: _recursive_pre_grad_passes:0.00284 _recursive_joint_graph_passes:0.24193 _recursive_post_grad_passes:0.01836 async_compile.wait:0.69066 code_gen:5.9572 inductor_compile:6.08221 backend_compile:7.03484 gc:0.00082 entire_frame_compile:7.29728 total_wall_time:7.29728 2025-08-14T21:56:29.2382832Z STATS: call_* op count: 14 | FakeTensor.__torch_dispatch__:329 | FakeTensorMode.__torch_dispatch__:1194 | ProxyTorchDispatchMode.__torch_dispatch__:289 2025-08-14T21:56:29.2383302Z Dynamo produced 1 graphs covering 14 ops with 0 graph breaks (0 unique) 2025-08-14T21:56:32.4638094Z 2025-08-14T21:56:33.1012381Z loading model: 0it [00:00, ?it/s] 2025-08-14T21:56:33.1016557Z 2025-08-14T21:56:33.1054297Z config.json: 0% 0.00/684 [00:00blqk", from_blocked_mask[:, 2:-2], exp_blocked_to_pad) 2025-08-14T21:58:38.3678977Z 2025-08-14T21:58:40.5326139Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:58:40.5327996Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 440, in forward 2025-08-14T21:58:40.5328458Z self.query(hidden_states) 2025-08-14T21:58:40.5331911Z 2025-08-14T21:58:40.5335778Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:58:40.5337710Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 445, in forward 2025-08-14T21:58:40.5338328Z self.key(hidden_states) 2025-08-14T21:58:40.5342321Z 2025-08-14T21:58:40.5346055Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:58:40.5349955Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 450, in forward 2025-08-14T21:58:40.5351093Z self.value(hidden_states) 2025-08-14T21:58:40.5351227Z 2025-08-14T21:58:40.7272218Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:58:40.7277254Z 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 2025-08-14T21:58:40.7281430Z plan_block_length = np.array(plan_from_length) // from_block_size 2025-08-14T21:58:40.7285298Z 2025-08-14T21:58:44.0737356Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:58:44.0742502Z 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 2025-08-14T21:58:44.0746879Z first_product = self.torch_bmm_nd_transpose(blocked_query_matrix[:, :, 0], key_layer, ndim=4) 2025-08-14T21:58:44.0751222Z 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 2025-08-14T21:58:44.0755492Z inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:]).transpose(1, 2) 2025-08-14T21:58:44.0759561Z 2025-08-14T21:58:44.0763899Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:58:44.0769638Z 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 2025-08-14T21:58:44.0770356Z first_product = self.torch_bmm_nd_transpose(blocked_query_matrix[:, :, 0], key_layer, ndim=4) 2025-08-14T21:58:44.0770912Z 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 2025-08-14T21:58:44.0771419Z inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:]).transpose(1, 2) 2025-08-14T21:58:44.0771637Z 2025-08-14T21:58:44.0771747Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:58:44.0772582Z 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 2025-08-14T21:58:44.0773142Z first_context_layer = self.torch_bmm_nd(first_attn_weights, value_layer, ndim=4) 2025-08-14T21:58:44.0773598Z 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 2025-08-14T21:58:44.0774088Z return torch.bmm(inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:])).view( 2025-08-14T21:58:44.0774317Z 2025-08-14T21:58:44.0774402Z cudagraph partition due to non gpu ops 2025-08-14T21:58:44.0774617Z cudagraph partition due to non gpu ops 2025-08-14T21:58:44.0774813Z cudagraph partition due to non gpu ops 2025-08-14T21:58:44.0775017Z cudagraph partition due to non gpu ops 2025-08-14T21:58:44.0775219Z cudagraph partition due to non gpu ops 2025-08-14T21:58:44.0775411Z cudagraph partition due to non gpu ops 2025-08-14T21:58:44.0775608Z cudagraph partition due to non gpu ops 2025-08-14T21:58:44.0775808Z cudagraph partition due to non gpu ops 2025-08-14T21:58:44.0776075Z cudagraph partition due to non gpu ops 2025-08-14T21:58:44.0776264Z cudagraph partition due to non gpu ops 2025-08-14T21:58:44.0776457Z cudagraph partition due to non gpu ops 2025-08-14T21:58:44.0776704Z cudagraph partition due to non gpu ops 2025-08-14T21:58:44.0776896Z cudagraph partition due to non gpu ops 2025-08-14T21:58:44.0777091Z cudagraph partition due to non gpu ops 2025-08-14T21:58:44.0777287Z cudagraph partition due to non gpu ops 2025-08-14T21:58:44.0777476Z cudagraph partition due to non gpu ops 2025-08-14T21:58:44.0777705Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:58:44.0778205Z 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 2025-08-14T21:58:44.0778828Z second_product = self.torch_bmm_nd_transpose(blocked_query_matrix[:, :, 1], second_key_mat, ndim=4) 2025-08-14T21:58:44.0779396Z 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 2025-08-14T21:58:44.0780055Z inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:]).transpose(1, 2) 2025-08-14T21:58:44.0780288Z 2025-08-14T21:58:44.0780371Z cudagraph partition due to non gpu ops 2025-08-14T21:58:44.0780587Z cudagraph partition due to non gpu ops 2025-08-14T21:58:44.0780833Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:58:44.0781359Z 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 2025-08-14T21:58:44.0781919Z to_mask.new_ones([bsz, 1, 1, n_rand_blocks * to_block_size]), 2025-08-14T21:58:44.0782083Z 2025-08-14T21:58:44.0782189Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:58:44.0782673Z 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 2025-08-14T21:58:44.0783205Z rand_mask.new_ones([bsz, n_heads, from_block_size, 4 * to_block_size]), 2025-08-14T21:58:44.0783383Z 2025-08-14T21:58:44.0783466Z cudagraph partition due to non gpu ops 2025-08-14T21:58:44.0783659Z cudagraph partition due to non gpu ops 2025-08-14T21:58:44.0783882Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:58:44.0784375Z 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 2025-08-14T21:58:44.0784848Z first_band_product = torch.einsum( 2025-08-14T21:58:44.0784971Z 2025-08-14T21:58:44.0785045Z cudagraph partition due to non gpu ops 2025-08-14T21:58:44.0785241Z cudagraph partition due to non gpu ops 2025-08-14T21:58:44.0785466Z cudagraph partition due to non gpu ops 2025-08-14T21:58:44.0785690Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:58:44.0786173Z 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 2025-08-14T21:58:44.0786640Z last_band_product = torch.einsum( 2025-08-14T21:58:44.0786761Z 2025-08-14T21:58:44.0786843Z cudagraph partition due to non gpu ops 2025-08-14T21:58:44.0787031Z cudagraph partition due to non gpu ops 2025-08-14T21:58:44.0787227Z cudagraph partition due to non gpu ops 2025-08-14T21:58:44.0787421Z cudagraph partition due to non gpu ops 2025-08-14T21:58:44.0787608Z cudagraph partition due to non gpu ops 2025-08-14T21:58:44.0787804Z cudagraph partition due to non gpu ops 2025-08-14T21:58:44.0787999Z cudagraph partition due to non gpu ops 2025-08-14T21:58:44.0788218Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:58:44.0788702Z 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 2025-08-14T21:58:44.0789348Z second_last_product = self.torch_bmm_nd_transpose(blocked_query_matrix[:, :, -2], second_last_key_mat, ndim=4) 2025-08-14T21:58:44.0789881Z 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 2025-08-14T21:58:44.0790365Z inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:]).transpose(1, 2) 2025-08-14T21:58:44.0790563Z 2025-08-14T21:58:44.0790639Z cudagraph partition due to non gpu ops 2025-08-14T21:58:44.0790841Z cudagraph partition due to non gpu ops 2025-08-14T21:58:44.0791086Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:58:44.0791567Z 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 2025-08-14T21:58:44.0792074Z to_mask.new_ones([bsz, 1, 1, n_rand_blocks * to_block_size]), 2025-08-14T21:58:44.0792235Z 2025-08-14T21:58:44.0792365Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:58:44.0792849Z 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 2025-08-14T21:58:44.0793366Z rand_mask.new_ones([bsz, n_heads, from_block_size, 4 * to_block_size]), 2025-08-14T21:58:44.0793548Z 2025-08-14T21:58:44.0793621Z cudagraph partition due to non gpu ops 2025-08-14T21:58:44.0793817Z cudagraph partition due to non gpu ops 2025-08-14T21:58:44.0794028Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:58:44.0794517Z 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 2025-08-14T21:58:44.0795072Z last_product = self.torch_bmm_nd_transpose(blocked_query_matrix[:, :, -1], key_layer, ndim=4) 2025-08-14T21:58:44.0795569Z 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 2025-08-14T21:58:44.0796041Z inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:]).transpose(1, 2) 2025-08-14T21:58:44.0796242Z 2025-08-14T21:58:44.0796340Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:58:44.0796826Z 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 2025-08-14T21:58:44.0797384Z last_product = self.torch_bmm_nd_transpose(blocked_query_matrix[:, :, -1], key_layer, ndim=4) 2025-08-14T21:58:44.0797889Z 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 2025-08-14T21:58:44.0798368Z inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:]).transpose(1, 2) 2025-08-14T21:58:44.0798563Z 2025-08-14T21:58:44.0798669Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:58:44.0799157Z 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 2025-08-14T21:58:44.0799683Z last_context_layer = self.torch_bmm_nd(last_attn_weights, value_layer, ndim=4) 2025-08-14T21:58:44.0800135Z 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 2025-08-14T21:58:44.0800611Z return torch.bmm(inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:])).view( 2025-08-14T21:58:44.0800826Z 2025-08-14T21:58:44.0800933Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:58:44.0801432Z 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 2025-08-14T21:58:44.0802006Z first_product = self.torch_bmm_nd_transpose(blocked_query_matrix[:, :, 0], key_layer, ndim=4) 2025-08-14T21:58:44.0802645Z 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 2025-08-14T21:58:44.0803113Z return torch.bmm( 2025-08-14T21:58:44.0803218Z 2025-08-14T21:58:44.0803321Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:58:44.0803854Z 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 2025-08-14T21:58:44.0804417Z first_context_layer = self.torch_bmm_nd(first_attn_weights, value_layer, ndim=4) 2025-08-14T21:58:44.0804877Z 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 2025-08-14T21:58:44.0805351Z return torch.bmm(inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:])).view( 2025-08-14T21:58:44.0805579Z 2025-08-14T21:58:44.0805683Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:58:44.0806520Z 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 2025-08-14T21:58:44.0807052Z rand_attn = np.stack(rand_attn, axis=0) 2025-08-14T21:58:44.0807189Z 2025-08-14T21:58:44.0807292Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:58:44.0807818Z 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 2025-08-14T21:58:44.0808372Z rand_attn = torch.cat([rand_attn for _ in range(batch_size)], dim=0) 2025-08-14T21:58:44.0808556Z 2025-08-14T21:58:44.0808645Z cudagraph partition due to non gpu ops 2025-08-14T21:58:44.0808874Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:58:44.0809398Z 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 2025-08-14T21:58:44.0809898Z second_key_mat = torch.cat( 2025-08-14T21:58:44.0810021Z 2025-08-14T21:58:44.0810132Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:58:44.0810646Z 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 2025-08-14T21:58:44.0811299Z second_product = self.torch_bmm_nd_transpose(blocked_query_matrix[:, :, 1], second_key_mat, ndim=4) 2025-08-14T21:58:44.0811839Z 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 2025-08-14T21:58:44.0812257Z return torch.bmm( 2025-08-14T21:58:44.0812356Z 2025-08-14T21:58:44.0812459Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:58:44.0812976Z 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 2025-08-14T21:58:44.0813462Z second_seq_pad = torch.cat( 2025-08-14T21:58:44.0813574Z 2025-08-14T21:58:44.0813669Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:58:44.0814155Z 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 2025-08-14T21:58:44.0814642Z rand_mask = self._create_rand_mask_from_inputs( 2025-08-14T21:58:44.0815106Z 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 2025-08-14T21:58:44.0815635Z rand_mask = torch.stack([p1[i1.flatten()] for p1, i1 in zip(to_blocked_mask, rand_attn)]) 2025-08-14T21:58:44.0816099Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 994, in 2025-08-14T21:58:44.0816554Z rand_mask = torch.stack([p1[i1.flatten()] for p1, i1 in zip(to_blocked_mask, rand_attn)]) 2025-08-14T21:58:44.0816753Z 2025-08-14T21:58:44.0816858Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:58:44.0817339Z 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 2025-08-14T21:58:44.0817849Z rand_mask = self._create_rand_mask_from_inputs( 2025-08-14T21:58:44.0818279Z 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 2025-08-14T21:58:44.0818764Z rand_mask = torch.stack([p1[i1.flatten()] for p1, i1 in zip(to_blocked_mask, rand_attn)]) 2025-08-14T21:58:44.0819213Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 994, in 2025-08-14T21:58:44.0819689Z rand_mask = torch.stack([p1[i1.flatten()] for p1, i1 in zip(to_blocked_mask, rand_attn)]) 2025-08-14T21:58:44.0819980Z 2025-08-14T21:58:44.0820089Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:58:44.0820636Z 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 2025-08-14T21:58:44.0821149Z rand_mask = self._create_rand_mask_from_inputs( 2025-08-14T21:58:44.0821597Z 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 2025-08-14T21:58:44.0822088Z rand_mask = torch.stack([p1[i1.flatten()] for p1, i1 in zip(to_blocked_mask, rand_attn)]) 2025-08-14T21:58:44.0822541Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 994, in 2025-08-14T21:58:44.0822987Z rand_mask = torch.stack([p1[i1.flatten()] for p1, i1 in zip(to_blocked_mask, rand_attn)]) 2025-08-14T21:58:44.0823192Z 2025-08-14T21:58:44.0823290Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:58:44.0823779Z 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 2025-08-14T21:58:44.0824266Z rand_mask = self._create_rand_mask_from_inputs( 2025-08-14T21:58:44.0824713Z 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 2025-08-14T21:58:44.0825203Z rand_mask = torch.stack([p1[i1.flatten()] for p1, i1 in zip(to_blocked_mask, rand_attn)]) 2025-08-14T21:58:44.0825651Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 994, in 2025-08-14T21:58:44.0826094Z rand_mask = torch.stack([p1[i1.flatten()] for p1, i1 in zip(to_blocked_mask, rand_attn)]) 2025-08-14T21:58:44.0826289Z 2025-08-14T21:58:44.0826386Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:58:44.0826873Z 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 2025-08-14T21:58:44.0827352Z rand_mask = self._create_rand_mask_from_inputs( 2025-08-14T21:58:44.0827780Z 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 2025-08-14T21:58:44.0828272Z rand_mask = torch.stack([p1[i1.flatten()] for p1, i1 in zip(to_blocked_mask, rand_attn)]) 2025-08-14T21:58:44.0828474Z 2025-08-14T21:58:44.0828600Z cudagraph partition due to non gpu ops 2025-08-14T21:58:44.0828830Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:58:44.0829321Z 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 2025-08-14T21:58:44.0829782Z second_rand_pad = torch.cat( 2025-08-14T21:58:44.0829905Z 2025-08-14T21:58:44.0830002Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:58:44.0830508Z 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 2025-08-14T21:58:44.0830977Z second_value_mat = torch.cat( 2025-08-14T21:58:44.0831094Z 2025-08-14T21:58:44.0831188Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:58:44.0831676Z 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 2025-08-14T21:58:44.0832227Z second_context_layer = self.torch_bmm_nd(second_attn_weights, second_value_mat, ndim=4) 2025-08-14T21:58:44.0832699Z 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 2025-08-14T21:58:44.0833176Z return torch.bmm(inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:])).view( 2025-08-14T21:58:44.0833412Z 2025-08-14T21:58:44.0833509Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:58:44.0834001Z 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 2025-08-14T21:58:44.0834484Z first_band_product = torch.einsum( 2025-08-14T21:58:44.0834608Z 2025-08-14T21:58:44.0834705Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:58:44.0835191Z 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 2025-08-14T21:58:44.0835656Z exp_blocked_key_matrix = torch.cat( 2025-08-14T21:58:44.0835783Z 2025-08-14T21:58:44.0835887Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:58:44.0836366Z 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 2025-08-14T21:58:44.0836962Z inner_band_product = self.torch_bmm_nd_transpose(middle_query_matrix, exp_blocked_key_matrix, ndim=5) 2025-08-14T21:58:44.0837484Z 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 2025-08-14T21:58:44.0837881Z return torch.bmm( 2025-08-14T21:58:44.0837977Z 2025-08-14T21:58:44.0838072Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:58:44.0838558Z 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 2025-08-14T21:58:44.0839140Z rand_band_product = self.torch_bmm_nd_transpose(middle_query_matrix, gathered_key[:, :, 1:-1], ndim=5) 2025-08-14T21:58:44.0839663Z 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 2025-08-14T21:58:44.0840053Z return torch.bmm( 2025-08-14T21:58:44.0840155Z 2025-08-14T21:58:44.0840252Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:58:44.0840761Z 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 2025-08-14T21:58:44.0841243Z last_band_product = torch.einsum( 2025-08-14T21:58:44.0841366Z 2025-08-14T21:58:44.0841460Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:58:44.0841950Z 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 2025-08-14T21:58:44.0842512Z first_band_product += (1.0 - to_mask[:, :, :, :to_block_size].unsqueeze(3)) * attn_mask_penalty 2025-08-14T21:58:44.0842734Z 2025-08-14T21:58:44.0842838Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:58:44.0843342Z 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 2025-08-14T21:58:44.0843878Z inner_band_product += (1.0 - band_mask) * attn_mask_penalty 2025-08-14T21:58:44.0844037Z 2025-08-14T21:58:44.0844140Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:58:44.0844628Z 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 2025-08-14T21:58:44.0845138Z rand_band_product += (1.0 - rand_mask[:, :, 1:-1]) * attn_mask_penalty 2025-08-14T21:58:44.0845318Z 2025-08-14T21:58:44.0845415Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:58:44.0845930Z 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 2025-08-14T21:58:44.0846507Z last_band_product += (1.0 - to_mask[:, :, :, -to_block_size:].unsqueeze(3)) * attn_mask_penalty 2025-08-14T21:58:44.0846716Z 2025-08-14T21:58:44.0846818Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:58:44.0847339Z 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 2025-08-14T21:58:44.0847830Z band_product = torch.cat( 2025-08-14T21:58:44.0847947Z 2025-08-14T21:58:44.0848054Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:58:44.0848558Z 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 2025-08-14T21:58:44.0849053Z exp_blocked_value_matrix = torch.cat( 2025-08-14T21:58:44.0849195Z 2025-08-14T21:58:44.0849297Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:58:44.0849830Z 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 2025-08-14T21:58:44.0850321Z context_layer = self.torch_bmm_nd( 2025-08-14T21:58:44.0850733Z 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 2025-08-14T21:58:44.0851245Z return torch.bmm(inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:])).view( 2025-08-14T21:58:44.0851476Z 2025-08-14T21:58:44.0851586Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:58:44.0852101Z 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 2025-08-14T21:58:44.0852606Z context_layer += self.torch_bmm_nd( 2025-08-14T21:58:44.0853024Z 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 2025-08-14T21:58:44.0854559Z return torch.bmm(inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:])).view( 2025-08-14T21:58:44.0854775Z 2025-08-14T21:58:44.0854893Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:58:44.0855395Z 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 2025-08-14T21:58:44.0855874Z context_layer += torch.einsum( 2025-08-14T21:58:44.0855994Z 2025-08-14T21:58:44.0856101Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:58:44.0856585Z 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 2025-08-14T21:58:44.0857069Z context_layer += torch.einsum( 2025-08-14T21:58:44.0857187Z 2025-08-14T21:58:44.0857291Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:58:44.0857806Z 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 2025-08-14T21:58:44.0858265Z second_last_key_mat = torch.cat( 2025-08-14T21:58:44.0858392Z 2025-08-14T21:58:44.0858486Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:58:44.0858970Z 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 2025-08-14T21:58:44.0859575Z second_last_product = self.torch_bmm_nd_transpose(blocked_query_matrix[:, :, -2], second_last_key_mat, ndim=4) 2025-08-14T21:58:44.0860221Z 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 2025-08-14T21:58:44.0860658Z return torch.bmm( 2025-08-14T21:58:44.0860763Z 2025-08-14T21:58:44.0860873Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:58:44.0861386Z 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 2025-08-14T21:58:44.0861853Z second_last_seq_pad = torch.cat( 2025-08-14T21:58:44.0861986Z 2025-08-14T21:58:44.0862063Z cudagraph partition due to non gpu ops 2025-08-14T21:58:44.0862294Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:58:44.0862784Z 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 2025-08-14T21:58:44.0863266Z second_last_rand_pad = torch.cat( 2025-08-14T21:58:44.0863395Z 2025-08-14T21:58:44.0863492Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:58:44.0864009Z 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 2025-08-14T21:58:44.0864471Z second_last_value_mat = torch.cat( 2025-08-14T21:58:44.0864602Z 2025-08-14T21:58:44.0864698Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:58:44.0865187Z 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 2025-08-14T21:58:44.0865761Z second_last_context_layer = self.torch_bmm_nd(second_last_attn_weights, second_last_value_mat, ndim=4) 2025-08-14T21:58:44.0866244Z 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 2025-08-14T21:58:44.0866721Z return torch.bmm(inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:])).view( 2025-08-14T21:58:44.0866941Z 2025-08-14T21:58:44.0867071Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:58:44.0867573Z 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 2025-08-14T21:58:44.0868128Z last_product = self.torch_bmm_nd_transpose(blocked_query_matrix[:, :, -1], key_layer, ndim=4) 2025-08-14T21:58:44.0868626Z 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 2025-08-14T21:58:44.0869024Z return torch.bmm( 2025-08-14T21:58:44.0869117Z 2025-08-14T21:58:44.0869220Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:58:44.0869722Z 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 2025-08-14T21:58:44.0870261Z last_context_layer = self.torch_bmm_nd(last_attn_weights, value_layer, ndim=4) 2025-08-14T21:58:44.0870716Z 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 2025-08-14T21:58:44.0871195Z return torch.bmm(inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:])).view( 2025-08-14T21:58:44.0871406Z 2025-08-14T21:58:44.0871482Z cudagraph partition due to non gpu ops 2025-08-14T21:58:44.0871688Z cudagraph partition due to non gpu ops 2025-08-14T21:58:44.0871913Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:58:44.0872408Z 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 2025-08-14T21:58:44.0872871Z context_layer += torch.einsum( 2025-08-14T21:58:44.0873002Z 2025-08-14T21:58:44.0873075Z cudagraph partition due to non gpu ops 2025-08-14T21:58:44.0873279Z cudagraph partition due to non gpu ops 2025-08-14T21:58:44.0873508Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:58:44.0874002Z 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 2025-08-14T21:58:44.0874472Z context_layer = torch.cat( 2025-08-14T21:58:44.0874583Z 2025-08-14T21:58:44.0874685Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:58:44.0875165Z 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 2025-08-14T21:58:44.0875705Z context_layer = context_layer.view((bsz, n_heads, from_seq_len, -1)) * from_mask 2025-08-14T21:58:44.0875913Z 2025-08-14T21:58:48.9195775Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:58:48.9197057Z 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 2025-08-14T21:58:48.9197635Z context_layer = context_layer.contiguous().view(batch_size, from_seq_length, -1) 2025-08-14T21:58:48.9197848Z 2025-08-14T21:58:49.6447145Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:58:49.6447980Z 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 2025-08-14T21:58:49.6448484Z attention_output = self.output(self_outputs[0], hidden_states) 2025-08-14T21:58:49.6448929Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1295, in forward 2025-08-14T21:58:49.6453367Z hidden_states = self.dense(hidden_states) 2025-08-14T21:58:49.6455153Z 2025-08-14T21:58:50.5690175Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:58:50.5691995Z 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 2025-08-14T21:58:50.5692944Z layer_output = apply_chunking_to_forward( 2025-08-14T21:58:50.5696816Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-08-14T21:58:50.5700851Z return forward_fn(*input_tensors) 2025-08-14T21:58:50.5703253Z 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 2025-08-14T21:58:50.5706856Z intermediate_output = self.intermediate(attention_output) 2025-08-14T21:58:50.5708707Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1401, in forward 2025-08-14T21:58:50.5709448Z hidden_states = self.dense(hidden_states) 2025-08-14T21:58:50.5713338Z 2025-08-14T21:58:50.5715474Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:58:50.5716033Z 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 2025-08-14T21:58:50.5716497Z layer_output = apply_chunking_to_forward( 2025-08-14T21:58:50.5716896Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-08-14T21:58:50.5717270Z return forward_fn(*input_tensors) 2025-08-14T21:58:50.5717674Z 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 2025-08-14T21:58:50.5718119Z intermediate_output = self.intermediate(attention_output) 2025-08-14T21:58:50.5718534Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1402, in forward 2025-08-14T21:58:50.5718951Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-08-14T21:58:50.5719317Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward 2025-08-14T21:58:50.5719744Z return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0)))) 2025-08-14T21:58:50.5719963Z 2025-08-14T21:58:50.5720066Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:58:50.5720531Z 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 2025-08-14T21:58:50.5720975Z layer_output = apply_chunking_to_forward( 2025-08-14T21:58:50.5721355Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-08-14T21:58:50.5721724Z return forward_fn(*input_tensors) 2025-08-14T21:58:50.5722374Z 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 2025-08-14T21:58:50.5722841Z layer_output = self.output(intermediate_output, attention_output) 2025-08-14T21:58:50.5723273Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1415, in forward 2025-08-14T21:58:50.5723654Z hidden_states = self.dense(hidden_states) 2025-08-14T21:58:50.5723799Z 2025-08-14T21:58:58.0763952Z W0814 21:58:58.074422 20527 site-packages/torch/_dynamo/convert_frame.py:1102] [10/8] torch._dynamo hit config.recompile_limit (8) 2025-08-14T21:58:58.0765049Z W0814 21:58:58.074422 20527 site-packages/torch/_dynamo/convert_frame.py:1102] [10/8] function: 'forward' (/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py:417) 2025-08-14T21:58:58.0766973Z W0814 21:58:58.074422 20527 site-packages/torch/_dynamo/convert_frame.py:1102] [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.) 2025-08-14T21:58:58.0768533Z W0814 21:58:58.074422 20527 site-packages/torch/_dynamo/convert_frame.py:1102] [10/8] To log all recompilation reasons, use TORCH_LOGS="recompiles". 2025-08-14T21:58:58.0769229Z W0814 21:58:58.074422 20527 site-packages/torch/_dynamo/convert_frame.py:1102] [10/8] To diagnose recompilation issues, see https://pytorch.org/docs/main/torch.compiler_troubleshooting.html 2025-08-14T21:58:58.4743138Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:58:58.4747573Z 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 2025-08-14T21:58:58.4749452Z pooler_output = self.activation(self.pooler(sequence_output[:, 0, :])) if (self.pooler is not None) else None 2025-08-14T21:58:58.4754023Z 2025-08-14T21:58:58.4758820Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:58:58.4763297Z 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 2025-08-14T21:58:58.4767762Z pooler_output = self.activation(self.pooler(sequence_output[:, 0, :])) if (self.pooler is not None) else None 2025-08-14T21:58:58.4768199Z 2025-08-14T21:58:58.7494567Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:58:58.7495860Z 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 2025-08-14T21:58:58.7496423Z prediction_scores = self.cls(sequence_output) 2025-08-14T21:58:58.7496843Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1682, in forward 2025-08-14T21:58:58.7497267Z prediction_scores = self.predictions(sequence_output) 2025-08-14T21:58:58.7497678Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1670, in forward 2025-08-14T21:58:58.7498072Z hidden_states = self.transform(hidden_states) 2025-08-14T21:58:58.7498458Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1645, in forward 2025-08-14T21:58:58.7498840Z hidden_states = self.dense(hidden_states) 2025-08-14T21:58:58.7498975Z 2025-08-14T21:58:58.7499093Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:58:58.7500043Z 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 2025-08-14T21:58:58.7500520Z prediction_scores = self.cls(sequence_output) 2025-08-14T21:58:58.7500914Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1682, in forward 2025-08-14T21:58:58.7501327Z prediction_scores = self.predictions(sequence_output) 2025-08-14T21:58:58.7501723Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1670, in forward 2025-08-14T21:58:58.7502111Z hidden_states = self.transform(hidden_states) 2025-08-14T21:58:58.7502498Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1645, in forward 2025-08-14T21:58:58.7502881Z hidden_states = self.dense(hidden_states) 2025-08-14T21:58:58.7503014Z 2025-08-14T21:58:58.7503115Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:58:58.7503572Z 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 2025-08-14T21:58:58.7504094Z prediction_scores = self.cls(sequence_output) 2025-08-14T21:58:58.7504536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1682, in forward 2025-08-14T21:58:58.7504946Z prediction_scores = self.predictions(sequence_output) 2025-08-14T21:58:58.7505357Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1671, in forward 2025-08-14T21:58:58.7505746Z hidden_states = self.decoder(hidden_states) 2025-08-14T21:58:58.7505882Z 2025-08-14T21:59:00.8456477Z Compilation time (from dynamo_timed): 28.765593504 2025-08-14T21:59:00.8762690Z pass 2025-08-14T21:59:00.8764330Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T21:59:00.8765302Z TIMING: gc:0.02014 entire_frame_compile:28.76559 _recursive_pre_grad_passes:0.01648 _recursive_joint_graph_passes:0.2459 _recursive_post_grad_passes:0.08214 async_compile.wait:5.52339 code_gen:16.73772 inductor_compile:17.6565 backend_compile:19.77109 total_wall_time:28.76559 2025-08-14T21:59:00.8769733Z STATS: call_* op count: 378 | FakeTensorMode.__torch_dispatch__:8874 | ProxyTorchDispatchMode.__torch_dispatch__:2451 | FakeTensor.__torch_dispatch__:2610 2025-08-14T21:59:00.8773897Z Dynamo produced 28 graphs covering 378 ops with 25 graph breaks (2 unique) 2025-08-14T21:59:04.7025694Z 2025-08-14T21:59:05.4502239Z loading model: 0it [00:00, ?it/s] 2025-08-14T21:59:05.4502552Z 2025-08-14T21:59:05.4546424Z config.json: 0% 0.00/483 [00:00bcxy", (query, key)) # multiply 2025-08-14T22:00:41.7345134Z 2025-08-14T22:00:41.7345243Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7345754Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7346227Z layer_outputs = layer_module( 2025-08-14T22:00:41.7346580Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7347024Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7347456Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7347866Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7348278Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7348723Z self_outputs = self.self( 2025-08-14T22:00:41.7349193Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 510, in forward 2025-08-14T22:00:41.7349642Z key_vectors = self.key(hidden_states) 2025-08-14T22:00:41.7349788Z 2025-08-14T22:00:41.7349898Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7350440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7350962Z layer_outputs = layer_module( 2025-08-14T22:00:41.7351353Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7351734Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7352132Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7352516Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7352903Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7353286Z self_outputs = self.self( 2025-08-14T22:00:41.7353686Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-08-14T22:00:41.7354233Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-08-14T22:00:41.7354700Z 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 2025-08-14T22:00:41.7355218Z key = self._chunk(key, window_overlap, getattr(self.config, "onnx_export", False)) 2025-08-14T22:00:41.7355679Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 719, in _chunk 2025-08-14T22:00:41.7356059Z hidden_states = hidden_states.view( 2025-08-14T22:00:41.7356192Z 2025-08-14T22:00:41.7356292Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7356781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7357247Z layer_outputs = layer_module( 2025-08-14T22:00:41.7357584Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7357937Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7358338Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7358737Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7359137Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7359529Z self_outputs = self.self( 2025-08-14T22:00:41.7359908Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-08-14T22:00:41.7360321Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-08-14T22:00:41.7360823Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul 2025-08-14T22:00:41.7361398Z diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key)) # multiply 2025-08-14T22:00:41.7361636Z 2025-08-14T22:00:41.7361722Z cudagraph partition due to non gpu ops 2025-08-14T22:00:41.7361931Z cudagraph partition due to non gpu ops 2025-08-14T22:00:41.7362136Z cudagraph partition due to non gpu ops 2025-08-14T22:00:41.7362339Z cudagraph partition due to non gpu ops 2025-08-14T22:00:41.7362563Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7363060Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7363528Z layer_outputs = layer_module( 2025-08-14T22:00:41.7363876Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7364218Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7364630Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7365050Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7365460Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7365863Z self_outputs = self.self( 2025-08-14T22:00:41.7366251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 536, in forward 2025-08-14T22:00:41.7366676Z diagonal_mask = self._sliding_chunks_query_key_matmul( 2025-08-14T22:00:41.7367147Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 834, in _sliding_chunks_query_key_matmul 2025-08-14T22:00:41.7367691Z self._mask_invalid_locations(diagonal_attention_scores, window_overlap) 2025-08-14T22:00:41.7368184Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 762, in _mask_invalid_locations 2025-08-14T22:00:41.7368683Z input_tensor[:, :affected_seq_len, :, : affected_seq_len + 1] = torch.full_like( 2025-08-14T22:00:41.7368875Z 2025-08-14T22:00:41.7368954Z cudagraph partition due to non gpu ops 2025-08-14T22:00:41.7369184Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7369663Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7370115Z layer_outputs = layer_module( 2025-08-14T22:00:41.7370439Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7370788Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7371195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7371577Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7371976Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7372370Z self_outputs = self.self( 2025-08-14T22:00:41.7372748Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward 2025-08-14T22:00:41.7373142Z attn_scores += diagonal_mask 2025-08-14T22:00:41.7373267Z 2025-08-14T22:00:41.7373369Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7373856Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7374315Z layer_outputs = layer_module( 2025-08-14T22:00:41.7374659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7375008Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7375410Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7375801Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7376195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7376587Z self_outputs = self.self( 2025-08-14T22:00:41.7376964Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward 2025-08-14T22:00:41.7377357Z attn_probs = nn.functional.softmax( 2025-08-14T22:00:41.7377521Z 2025-08-14T22:00:41.7377624Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7378133Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7378621Z layer_outputs = layer_module( 2025-08-14T22:00:41.7378981Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7379339Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7379742Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7380241Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7380642Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7381060Z self_outputs = self.self( 2025-08-14T22:00:41.7381447Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 511, in forward 2025-08-14T22:00:41.7381863Z value_vectors = self.value(hidden_states) 2025-08-14T22:00:41.7382000Z 2025-08-14T22:00:41.7382101Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7382593Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7383058Z layer_outputs = layer_module( 2025-08-14T22:00:41.7383398Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7383744Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7384146Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7384548Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7384947Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7385348Z self_outputs = self.self( 2025-08-14T22:00:41.7385735Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:00:41.7386176Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:00:41.7386672Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 863, in _sliding_chunks_matmul_attn_probs_value 2025-08-14T22:00:41.7387237Z padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1) 2025-08-14T22:00:41.7387644Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T22:00:41.7387986Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T22:00:41.7388133Z 2025-08-14T22:00:41.7388235Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7388761Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7389237Z layer_outputs = layer_module( 2025-08-14T22:00:41.7389583Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7389936Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7390349Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7390762Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7391174Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7391631Z self_outputs = self.self( 2025-08-14T22:00:41.7392017Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:00:41.7392493Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:00:41.7393060Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 876, in _sliding_chunks_matmul_attn_probs_value 2025-08-14T22:00:41.7393584Z chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs) 2025-08-14T22:00:41.7394070Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize 2025-08-14T22:00:41.7394527Z chunked_hidden_states = nn.functional.pad( 2025-08-14T22:00:41.7394840Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T22:00:41.7395194Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T22:00:41.7395341Z 2025-08-14T22:00:41.7395459Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7395945Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7396398Z layer_outputs = layer_module( 2025-08-14T22:00:41.7396731Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7397075Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7397469Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7397867Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7398276Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7398679Z self_outputs = self.self( 2025-08-14T22:00:41.7399063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:00:41.7399507Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:00:41.7400010Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value 2025-08-14T22:00:41.7400563Z context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value)) 2025-08-14T22:00:41.7400774Z 2025-08-14T22:00:41.7400879Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7401371Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7401837Z layer_outputs = layer_module( 2025-08-14T22:00:41.7402174Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7402546Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7402959Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7403380Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7403781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7404193Z self_outputs = self.self( 2025-08-14T22:00:41.7404575Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:00:41.7405008Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:00:41.7405498Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value 2025-08-14T22:00:41.7406032Z context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value)) 2025-08-14T22:00:41.7406435Z 2025-08-14T22:00:41.7406540Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7407077Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7407543Z layer_outputs = layer_module( 2025-08-14T22:00:41.7407883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7408236Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7408634Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7409053Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7409463Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward 2025-08-14T22:00:41.7409967Z attn_output = self.output(self_outputs[0], hidden_states) 2025-08-14T22:00:41.7410403Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward 2025-08-14T22:00:41.7410812Z hidden_states = self.dense(hidden_states) 2025-08-14T22:00:41.7410957Z 2025-08-14T22:00:41.7411056Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7411542Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7411997Z layer_outputs = layer_module( 2025-08-14T22:00:41.7412334Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7412685Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7413086Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7413485Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7413886Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward 2025-08-14T22:00:41.7414320Z attn_output = self.output(self_outputs[0], hidden_states) 2025-08-14T22:00:41.7414762Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward 2025-08-14T22:00:41.7415174Z hidden_states = self.dense(hidden_states) 2025-08-14T22:00:41.7415332Z 2025-08-14T22:00:41.7415437Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7415938Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7416414Z layer_outputs = layer_module( 2025-08-14T22:00:41.7416778Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7417139Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7417546Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward 2025-08-14T22:00:41.7417959Z layer_output = apply_chunking_to_forward( 2025-08-14T22:00:41.7418356Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-08-14T22:00:41.7418744Z return forward_fn(*input_tensors) 2025-08-14T22:00:41.7419151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk 2025-08-14T22:00:41.7419594Z intermediate_output = self.intermediate(attn_output) 2025-08-14T22:00:41.7420097Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1160, in forward 2025-08-14T22:00:41.7420592Z hidden_states = self.dense(hidden_states) 2025-08-14T22:00:41.7420740Z 2025-08-14T22:00:41.7420858Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7421420Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7421899Z layer_outputs = layer_module( 2025-08-14T22:00:41.7422249Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7422595Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7422999Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward 2025-08-14T22:00:41.7423425Z layer_output = apply_chunking_to_forward( 2025-08-14T22:00:41.7423816Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-08-14T22:00:41.7424188Z return forward_fn(*input_tensors) 2025-08-14T22:00:41.7424593Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk 2025-08-14T22:00:41.7425028Z intermediate_output = self.intermediate(attn_output) 2025-08-14T22:00:41.7425456Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1161, in forward 2025-08-14T22:00:41.7425883Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-08-14T22:00:41.7426249Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward 2025-08-14T22:00:41.7426586Z return self.act(input) 2025-08-14T22:00:41.7426694Z 2025-08-14T22:00:41.7426793Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7427282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7427745Z layer_outputs = layer_module( 2025-08-14T22:00:41.7428078Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7428417Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7428817Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward 2025-08-14T22:00:41.7429220Z layer_output = apply_chunking_to_forward( 2025-08-14T22:00:41.7429604Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-08-14T22:00:41.7429979Z return forward_fn(*input_tensors) 2025-08-14T22:00:41.7430391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1219, in ff_chunk 2025-08-14T22:00:41.7430841Z layer_output = self.output(intermediate_output, attn_output) 2025-08-14T22:00:41.7431278Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1174, in forward 2025-08-14T22:00:41.7431687Z hidden_states = self.dense(hidden_states) 2025-08-14T22:00:41.7431826Z 2025-08-14T22:00:41.7431926Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7432410Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7432866Z layer_outputs = layer_module( 2025-08-14T22:00:41.7433205Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7433554Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7433953Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7434364Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7434789Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7435183Z self_outputs = self.self( 2025-08-14T22:00:41.7435567Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward 2025-08-14T22:00:41.7435985Z query_vectors = self.query(hidden_states) 2025-08-14T22:00:41.7436129Z 2025-08-14T22:00:41.7436232Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7436759Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7437214Z layer_outputs = layer_module( 2025-08-14T22:00:41.7437550Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7437905Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7438315Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7438719Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7439125Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7439531Z self_outputs = self.self( 2025-08-14T22:00:41.7439927Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-08-14T22:00:41.7440358Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-08-14T22:00:41.7440847Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul 2025-08-14T22:00:41.7441425Z diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key)) # multiply 2025-08-14T22:00:41.7441664Z 2025-08-14T22:00:41.7441776Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7442270Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7442749Z layer_outputs = layer_module( 2025-08-14T22:00:41.7443094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7443444Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7443854Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7444279Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7444689Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7445086Z self_outputs = self.self( 2025-08-14T22:00:41.7445493Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 510, in forward 2025-08-14T22:00:41.7445906Z key_vectors = self.key(hidden_states) 2025-08-14T22:00:41.7446038Z 2025-08-14T22:00:41.7446148Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7446641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7447118Z layer_outputs = layer_module( 2025-08-14T22:00:41.7447459Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7447809Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7448236Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7449428Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7449852Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7450239Z self_outputs = self.self( 2025-08-14T22:00:41.7450620Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-08-14T22:00:41.7451044Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-08-14T22:00:41.7451543Z 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 2025-08-14T22:00:41.7452071Z key = self._chunk(key, window_overlap, getattr(self.config, "onnx_export", False)) 2025-08-14T22:00:41.7452550Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 719, in _chunk 2025-08-14T22:00:41.7452950Z hidden_states = hidden_states.view( 2025-08-14T22:00:41.7453076Z 2025-08-14T22:00:41.7453185Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7453669Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7454136Z layer_outputs = layer_module( 2025-08-14T22:00:41.7454471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7454814Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7455217Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7455620Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7456019Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7456413Z self_outputs = self.self( 2025-08-14T22:00:41.7456791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-08-14T22:00:41.7457219Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-08-14T22:00:41.7457695Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul 2025-08-14T22:00:41.7458251Z diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key)) # multiply 2025-08-14T22:00:41.7458490Z 2025-08-14T22:00:41.7458570Z cudagraph partition due to non gpu ops 2025-08-14T22:00:41.7458797Z cudagraph partition due to non gpu ops 2025-08-14T22:00:41.7458999Z cudagraph partition due to non gpu ops 2025-08-14T22:00:41.7459200Z cudagraph partition due to non gpu ops 2025-08-14T22:00:41.7459430Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7460007Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7460521Z layer_outputs = layer_module( 2025-08-14T22:00:41.7460900Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7461273Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7461685Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7462090Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7462492Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7462910Z self_outputs = self.self( 2025-08-14T22:00:41.7463301Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 536, in forward 2025-08-14T22:00:41.7463736Z diagonal_mask = self._sliding_chunks_query_key_matmul( 2025-08-14T22:00:41.7464225Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 834, in _sliding_chunks_query_key_matmul 2025-08-14T22:00:41.7464746Z self._mask_invalid_locations(diagonal_attention_scores, window_overlap) 2025-08-14T22:00:41.7465245Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 762, in _mask_invalid_locations 2025-08-14T22:00:41.7465773Z input_tensor[:, :affected_seq_len, :, : affected_seq_len + 1] = torch.full_like( 2025-08-14T22:00:41.7465986Z 2025-08-14T22:00:41.7466067Z cudagraph partition due to non gpu ops 2025-08-14T22:00:41.7466301Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7466789Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7467260Z layer_outputs = layer_module( 2025-08-14T22:00:41.7467600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7467941Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7468342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7468757Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7469172Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7469557Z self_outputs = self.self( 2025-08-14T22:00:41.7469927Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward 2025-08-14T22:00:41.7470313Z attn_scores += diagonal_mask 2025-08-14T22:00:41.7470429Z 2025-08-14T22:00:41.7470533Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7471003Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7471457Z layer_outputs = layer_module( 2025-08-14T22:00:41.7471792Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7472148Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7472555Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7472958Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7473364Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7473763Z self_outputs = self.self( 2025-08-14T22:00:41.7474152Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward 2025-08-14T22:00:41.7474558Z attn_probs = nn.functional.softmax( 2025-08-14T22:00:41.7474688Z 2025-08-14T22:00:41.7474797Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7475287Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7475761Z layer_outputs = layer_module( 2025-08-14T22:00:41.7476103Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7476460Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7476874Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7477273Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7477669Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7478056Z self_outputs = self.self( 2025-08-14T22:00:41.7478434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 511, in forward 2025-08-14T22:00:41.7478840Z value_vectors = self.value(hidden_states) 2025-08-14T22:00:41.7478991Z 2025-08-14T22:00:41.7479100Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7479586Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7480053Z layer_outputs = layer_module( 2025-08-14T22:00:41.7480395Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7480741Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7481137Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7481534Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7481931Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7482321Z self_outputs = self.self( 2025-08-14T22:00:41.7482723Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:00:41.7483237Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:00:41.7483742Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 863, in _sliding_chunks_matmul_attn_probs_value 2025-08-14T22:00:41.7484294Z padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1) 2025-08-14T22:00:41.7484691Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T22:00:41.7485025Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T22:00:41.7485173Z 2025-08-14T22:00:41.7485276Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7485748Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7486206Z layer_outputs = layer_module( 2025-08-14T22:00:41.7486560Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7486895Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7487289Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7487678Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7488064Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7488437Z self_outputs = self.self( 2025-08-14T22:00:41.7488807Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:00:41.7489236Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:00:41.7489725Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 876, in _sliding_chunks_matmul_attn_probs_value 2025-08-14T22:00:41.7490243Z chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs) 2025-08-14T22:00:41.7490740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize 2025-08-14T22:00:41.7491182Z chunked_hidden_states = nn.functional.pad( 2025-08-14T22:00:41.7491502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T22:00:41.7491824Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T22:00:41.7491972Z 2025-08-14T22:00:41.7492070Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7492551Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7493013Z layer_outputs = layer_module( 2025-08-14T22:00:41.7493339Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7493678Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7494070Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7494452Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7494838Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7495223Z self_outputs = self.self( 2025-08-14T22:00:41.7495592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:00:41.7496014Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:00:41.7496498Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value 2025-08-14T22:00:41.7497019Z context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value)) 2025-08-14T22:00:41.7497207Z 2025-08-14T22:00:41.7497314Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7497779Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7498230Z layer_outputs = layer_module( 2025-08-14T22:00:41.7498555Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7498886Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7499275Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7499678Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7500143Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7500579Z self_outputs = self.self( 2025-08-14T22:00:41.7500996Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:00:41.7501462Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:00:41.7501987Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value 2025-08-14T22:00:41.7502528Z context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value)) 2025-08-14T22:00:41.7502729Z 2025-08-14T22:00:41.7502830Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7503345Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7503844Z layer_outputs = layer_module( 2025-08-14T22:00:41.7504197Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7504557Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7504968Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7505369Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7505784Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward 2025-08-14T22:00:41.7506436Z attn_output = self.output(self_outputs[0], hidden_states) 2025-08-14T22:00:41.7506892Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward 2025-08-14T22:00:41.7507314Z hidden_states = self.dense(hidden_states) 2025-08-14T22:00:41.7507463Z 2025-08-14T22:00:41.7507565Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7508075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7508556Z layer_outputs = layer_module( 2025-08-14T22:00:41.7508898Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7509258Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7509676Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7510091Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7510498Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward 2025-08-14T22:00:41.7510949Z attn_output = self.output(self_outputs[0], hidden_states) 2025-08-14T22:00:41.7511393Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward 2025-08-14T22:00:41.7511810Z hidden_states = self.dense(hidden_states) 2025-08-14T22:00:41.7511953Z 2025-08-14T22:00:41.7512054Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7512560Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7513040Z layer_outputs = layer_module( 2025-08-14T22:00:41.7513365Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7513721Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7514163Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward 2025-08-14T22:00:41.7514574Z layer_output = apply_chunking_to_forward( 2025-08-14T22:00:41.7514956Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-08-14T22:00:41.7515343Z return forward_fn(*input_tensors) 2025-08-14T22:00:41.7515742Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk 2025-08-14T22:00:41.7516170Z intermediate_output = self.intermediate(attn_output) 2025-08-14T22:00:41.7516600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1160, in forward 2025-08-14T22:00:41.7517006Z hidden_states = self.dense(hidden_states) 2025-08-14T22:00:41.7517139Z 2025-08-14T22:00:41.7517249Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7517757Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7518231Z layer_outputs = layer_module( 2025-08-14T22:00:41.7518589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7518941Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7519334Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward 2025-08-14T22:00:41.7519743Z layer_output = apply_chunking_to_forward( 2025-08-14T22:00:41.7520125Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-08-14T22:00:41.7520523Z return forward_fn(*input_tensors) 2025-08-14T22:00:41.7520931Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk 2025-08-14T22:00:41.7521371Z intermediate_output = self.intermediate(attn_output) 2025-08-14T22:00:41.7521811Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1161, in forward 2025-08-14T22:00:41.7522243Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-08-14T22:00:41.7522617Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward 2025-08-14T22:00:41.7522952Z return self.act(input) 2025-08-14T22:00:41.7523060Z 2025-08-14T22:00:41.7523166Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7523653Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7524122Z layer_outputs = layer_module( 2025-08-14T22:00:41.7524463Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7524814Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7525212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward 2025-08-14T22:00:41.7525627Z layer_output = apply_chunking_to_forward( 2025-08-14T22:00:41.7526014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-08-14T22:00:41.7526387Z return forward_fn(*input_tensors) 2025-08-14T22:00:41.7526788Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1219, in ff_chunk 2025-08-14T22:00:41.7527242Z layer_output = self.output(intermediate_output, attn_output) 2025-08-14T22:00:41.7527702Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1174, in forward 2025-08-14T22:00:41.7528109Z hidden_states = self.dense(hidden_states) 2025-08-14T22:00:41.7528250Z 2025-08-14T22:00:41.7528354Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7528848Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7529316Z layer_outputs = layer_module( 2025-08-14T22:00:41.7529648Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7530008Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7530403Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7530794Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7544280Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7544781Z self_outputs = self.self( 2025-08-14T22:00:41.7545218Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward 2025-08-14T22:00:41.7545639Z query_vectors = self.query(hidden_states) 2025-08-14T22:00:41.7545784Z 2025-08-14T22:00:41.7545891Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7546382Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7546847Z layer_outputs = layer_module( 2025-08-14T22:00:41.7547207Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7547552Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7547956Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7548350Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7548747Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7549137Z self_outputs = self.self( 2025-08-14T22:00:41.7549517Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-08-14T22:00:41.7549931Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-08-14T22:00:41.7550404Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul 2025-08-14T22:00:41.7550960Z diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key)) # multiply 2025-08-14T22:00:41.7551190Z 2025-08-14T22:00:41.7551302Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7551780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7552292Z layer_outputs = layer_module( 2025-08-14T22:00:41.7552636Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7552991Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7553385Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7553784Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7554176Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7554578Z self_outputs = self.self( 2025-08-14T22:00:41.7554951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 510, in forward 2025-08-14T22:00:41.7555340Z key_vectors = self.key(hidden_states) 2025-08-14T22:00:41.7555466Z 2025-08-14T22:00:41.7555571Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7556037Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7556490Z layer_outputs = layer_module( 2025-08-14T22:00:41.7556818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7557153Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7557539Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7557940Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7558376Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7558754Z self_outputs = self.self( 2025-08-14T22:00:41.7559143Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-08-14T22:00:41.7559569Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-08-14T22:00:41.7560047Z 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 2025-08-14T22:00:41.7560572Z key = self._chunk(key, window_overlap, getattr(self.config, "onnx_export", False)) 2025-08-14T22:00:41.7561077Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 719, in _chunk 2025-08-14T22:00:41.7561534Z hidden_states = hidden_states.view( 2025-08-14T22:00:41.7561667Z 2025-08-14T22:00:41.7561780Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7562318Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7562802Z layer_outputs = layer_module( 2025-08-14T22:00:41.7563145Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7563522Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7563930Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7564356Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7564777Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7565190Z self_outputs = self.self( 2025-08-14T22:00:41.7565595Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-08-14T22:00:41.7566051Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-08-14T22:00:41.7566557Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul 2025-08-14T22:00:41.7567153Z diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key)) # multiply 2025-08-14T22:00:41.7567399Z 2025-08-14T22:00:41.7567482Z cudagraph partition due to non gpu ops 2025-08-14T22:00:41.7567700Z cudagraph partition due to non gpu ops 2025-08-14T22:00:41.7567905Z cudagraph partition due to non gpu ops 2025-08-14T22:00:41.7568111Z cudagraph partition due to non gpu ops 2025-08-14T22:00:41.7568348Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7568877Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7569361Z layer_outputs = layer_module( 2025-08-14T22:00:41.7569727Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7570111Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7570534Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7570975Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7571382Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7571769Z self_outputs = self.self( 2025-08-14T22:00:41.7572133Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 536, in forward 2025-08-14T22:00:41.7572564Z diagonal_mask = self._sliding_chunks_query_key_matmul( 2025-08-14T22:00:41.7573044Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 834, in _sliding_chunks_query_key_matmul 2025-08-14T22:00:41.7573547Z self._mask_invalid_locations(diagonal_attention_scores, window_overlap) 2025-08-14T22:00:41.7574029Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 762, in _mask_invalid_locations 2025-08-14T22:00:41.7574526Z input_tensor[:, :affected_seq_len, :, : affected_seq_len + 1] = torch.full_like( 2025-08-14T22:00:41.7574725Z 2025-08-14T22:00:41.7574817Z cudagraph partition due to non gpu ops 2025-08-14T22:00:41.7575044Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7575518Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7575972Z layer_outputs = layer_module( 2025-08-14T22:00:41.7576301Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7576635Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7577028Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7577417Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7577806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7578183Z self_outputs = self.self( 2025-08-14T22:00:41.7578556Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward 2025-08-14T22:00:41.7578946Z attn_scores += diagonal_mask 2025-08-14T22:00:41.7579063Z 2025-08-14T22:00:41.7579169Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7579639Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7580220Z layer_outputs = layer_module( 2025-08-14T22:00:41.7580602Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7580988Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7581440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7581833Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7582242Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7582626Z self_outputs = self.self( 2025-08-14T22:00:41.7583001Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward 2025-08-14T22:00:41.7583402Z attn_probs = nn.functional.softmax( 2025-08-14T22:00:41.7583530Z 2025-08-14T22:00:41.7583639Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7584131Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7584586Z layer_outputs = layer_module( 2025-08-14T22:00:41.7584921Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7585261Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7585659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7586090Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7586473Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7586865Z self_outputs = self.self( 2025-08-14T22:00:41.7587238Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 511, in forward 2025-08-14T22:00:41.7587637Z value_vectors = self.value(hidden_states) 2025-08-14T22:00:41.7587768Z 2025-08-14T22:00:41.7587871Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7588346Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7588821Z layer_outputs = layer_module( 2025-08-14T22:00:41.7589148Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7589483Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7589871Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7590260Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7590646Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7591021Z self_outputs = self.self( 2025-08-14T22:00:41.7591392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:00:41.7591820Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:00:41.7592313Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 863, in _sliding_chunks_matmul_attn_probs_value 2025-08-14T22:00:41.7592856Z padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1) 2025-08-14T22:00:41.7593258Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T22:00:41.7593592Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T22:00:41.7593734Z 2025-08-14T22:00:41.7593841Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7594311Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7594764Z layer_outputs = layer_module( 2025-08-14T22:00:41.7595087Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7595423Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7595827Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7596223Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7596613Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7596990Z self_outputs = self.self( 2025-08-14T22:00:41.7597365Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:00:41.7597794Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:00:41.7598282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 876, in _sliding_chunks_matmul_attn_probs_value 2025-08-14T22:00:41.7598786Z chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs) 2025-08-14T22:00:41.7599263Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize 2025-08-14T22:00:41.7599720Z chunked_hidden_states = nn.functional.pad( 2025-08-14T22:00:41.7600055Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T22:00:41.7600376Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T22:00:41.7600525Z 2025-08-14T22:00:41.7600622Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7601100Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7601545Z layer_outputs = layer_module( 2025-08-14T22:00:41.7601886Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7602239Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7602648Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7603058Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7603467Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7603917Z self_outputs = self.self( 2025-08-14T22:00:41.7604332Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:00:41.7604775Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:00:41.7605290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value 2025-08-14T22:00:41.7605844Z context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value)) 2025-08-14T22:00:41.7606042Z 2025-08-14T22:00:41.7606323Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7606840Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7607324Z layer_outputs = layer_module( 2025-08-14T22:00:41.7607675Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7608035Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7608451Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7608869Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7609284Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7609688Z self_outputs = self.self( 2025-08-14T22:00:41.7610136Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:00:41.7610591Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:00:41.7611109Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value 2025-08-14T22:00:41.7611648Z context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value)) 2025-08-14T22:00:41.7611854Z 2025-08-14T22:00:41.7611958Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7612460Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7612913Z layer_outputs = layer_module( 2025-08-14T22:00:41.7613235Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7613603Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7614014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7614392Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7614778Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward 2025-08-14T22:00:41.7615198Z attn_output = self.output(self_outputs[0], hidden_states) 2025-08-14T22:00:41.7615614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward 2025-08-14T22:00:41.7616031Z hidden_states = self.dense(hidden_states) 2025-08-14T22:00:41.7616171Z 2025-08-14T22:00:41.7616268Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7616753Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7617209Z layer_outputs = layer_module( 2025-08-14T22:00:41.7617533Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7617877Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7618277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7618664Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7619055Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward 2025-08-14T22:00:41.7619483Z attn_output = self.output(self_outputs[0], hidden_states) 2025-08-14T22:00:41.7620052Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward 2025-08-14T22:00:41.7620486Z hidden_states = self.dense(hidden_states) 2025-08-14T22:00:41.7620636Z 2025-08-14T22:00:41.7620740Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7621247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7621700Z layer_outputs = layer_module( 2025-08-14T22:00:41.7622017Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7622359Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7622749Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward 2025-08-14T22:00:41.7623147Z layer_output = apply_chunking_to_forward( 2025-08-14T22:00:41.7623536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-08-14T22:00:41.7623913Z return forward_fn(*input_tensors) 2025-08-14T22:00:41.7624315Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk 2025-08-14T22:00:41.7624739Z intermediate_output = self.intermediate(attn_output) 2025-08-14T22:00:41.7625161Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1160, in forward 2025-08-14T22:00:41.7625558Z hidden_states = self.dense(hidden_states) 2025-08-14T22:00:41.7625686Z 2025-08-14T22:00:41.7625792Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7626264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7626720Z layer_outputs = layer_module( 2025-08-14T22:00:41.7627062Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7627399Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7627795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward 2025-08-14T22:00:41.7628193Z layer_output = apply_chunking_to_forward( 2025-08-14T22:00:41.7628568Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-08-14T22:00:41.7628932Z return forward_fn(*input_tensors) 2025-08-14T22:00:41.7629319Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk 2025-08-14T22:00:41.7629761Z intermediate_output = self.intermediate(attn_output) 2025-08-14T22:00:41.7630179Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1161, in forward 2025-08-14T22:00:41.7630602Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-08-14T22:00:41.7630962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward 2025-08-14T22:00:41.7631287Z return self.act(input) 2025-08-14T22:00:41.7631393Z 2025-08-14T22:00:41.7631500Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7631972Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7632425Z layer_outputs = layer_module( 2025-08-14T22:00:41.7632749Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7633082Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7633475Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward 2025-08-14T22:00:41.7633873Z layer_output = apply_chunking_to_forward( 2025-08-14T22:00:41.7634250Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-08-14T22:00:41.7634611Z return forward_fn(*input_tensors) 2025-08-14T22:00:41.7635003Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1219, in ff_chunk 2025-08-14T22:00:41.7635441Z layer_output = self.output(intermediate_output, attn_output) 2025-08-14T22:00:41.7635869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1174, in forward 2025-08-14T22:00:41.7636260Z hidden_states = self.dense(hidden_states) 2025-08-14T22:00:41.7636398Z 2025-08-14T22:00:41.7636511Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7636986Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7637441Z layer_outputs = layer_module( 2025-08-14T22:00:41.7637760Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7638098Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7638486Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7638868Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7639258Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7639639Z self_outputs = self.self( 2025-08-14T22:00:41.7640010Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward 2025-08-14T22:00:41.7640413Z query_vectors = self.query(hidden_states) 2025-08-14T22:00:41.7640548Z 2025-08-14T22:00:41.7640644Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7641144Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7641595Z layer_outputs = layer_module( 2025-08-14T22:00:41.7641913Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7642249Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7642652Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7643074Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7643485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7643937Z self_outputs = self.self( 2025-08-14T22:00:41.7644323Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-08-14T22:00:41.7644754Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-08-14T22:00:41.7645244Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul 2025-08-14T22:00:41.7645814Z diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key)) # multiply 2025-08-14T22:00:41.7646054Z 2025-08-14T22:00:41.7646159Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7646666Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7647142Z layer_outputs = layer_module( 2025-08-14T22:00:41.7647486Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7647840Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7648254Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7648662Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7649068Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7649462Z self_outputs = self.self( 2025-08-14T22:00:41.7649852Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 510, in forward 2025-08-14T22:00:41.7650262Z key_vectors = self.key(hidden_states) 2025-08-14T22:00:41.7650407Z 2025-08-14T22:00:41.7650515Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7651022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7651499Z layer_outputs = layer_module( 2025-08-14T22:00:41.7651842Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7652188Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7652581Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7652968Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7653357Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7653737Z self_outputs = self.self( 2025-08-14T22:00:41.7654122Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-08-14T22:00:41.7654536Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-08-14T22:00:41.7655011Z 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 2025-08-14T22:00:41.7655522Z key = self._chunk(key, window_overlap, getattr(self.config, "onnx_export", False)) 2025-08-14T22:00:41.7655981Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 719, in _chunk 2025-08-14T22:00:41.7656367Z hidden_states = hidden_states.view( 2025-08-14T22:00:41.7656508Z 2025-08-14T22:00:41.7656607Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7657081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7657533Z layer_outputs = layer_module( 2025-08-14T22:00:41.7657854Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7658184Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7658573Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7658958Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7659344Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7659734Z self_outputs = self.self( 2025-08-14T22:00:41.7660205Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-08-14T22:00:41.7660656Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-08-14T22:00:41.7661156Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul 2025-08-14T22:00:41.7661733Z diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key)) # multiply 2025-08-14T22:00:41.7661969Z 2025-08-14T22:00:41.7662050Z cudagraph partition due to non gpu ops 2025-08-14T22:00:41.7662260Z cudagraph partition due to non gpu ops 2025-08-14T22:00:41.7662457Z cudagraph partition due to non gpu ops 2025-08-14T22:00:41.7662658Z cudagraph partition due to non gpu ops 2025-08-14T22:00:41.7662884Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7663355Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7663806Z layer_outputs = layer_module( 2025-08-14T22:00:41.7664155Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7664498Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7664883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7665275Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7665663Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7666047Z self_outputs = self.self( 2025-08-14T22:00:41.7666412Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 536, in forward 2025-08-14T22:00:41.7666840Z diagonal_mask = self._sliding_chunks_query_key_matmul( 2025-08-14T22:00:41.7667316Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 834, in _sliding_chunks_query_key_matmul 2025-08-14T22:00:41.7667841Z self._mask_invalid_locations(diagonal_attention_scores, window_overlap) 2025-08-14T22:00:41.7668345Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 762, in _mask_invalid_locations 2025-08-14T22:00:41.7668838Z input_tensor[:, :affected_seq_len, :, : affected_seq_len + 1] = torch.full_like( 2025-08-14T22:00:41.7669028Z 2025-08-14T22:00:41.7669108Z cudagraph partition due to non gpu ops 2025-08-14T22:00:41.7669323Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7669800Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7670270Z layer_outputs = layer_module( 2025-08-14T22:00:41.7670598Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7670933Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7671326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7671719Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7672112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7672489Z self_outputs = self.self( 2025-08-14T22:00:41.7672866Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward 2025-08-14T22:00:41.7673254Z attn_scores += diagonal_mask 2025-08-14T22:00:41.7673373Z 2025-08-14T22:00:41.7673471Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7673949Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7674408Z layer_outputs = layer_module( 2025-08-14T22:00:41.7674739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7675085Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7675479Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7675870Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7676261Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7676645Z self_outputs = self.self( 2025-08-14T22:00:41.7677019Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward 2025-08-14T22:00:41.7677431Z attn_probs = nn.functional.softmax( 2025-08-14T22:00:41.7677558Z 2025-08-14T22:00:41.7677656Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7678132Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7678582Z layer_outputs = layer_module( 2025-08-14T22:00:41.7678906Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7679234Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7679628Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7680015Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7680401Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7680800Z self_outputs = self.self( 2025-08-14T22:00:41.7681179Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 511, in forward 2025-08-14T22:00:41.7681609Z value_vectors = self.value(hidden_states) 2025-08-14T22:00:41.7681748Z 2025-08-14T22:00:41.7681845Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7682336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7682800Z layer_outputs = layer_module( 2025-08-14T22:00:41.7683125Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7683493Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7683897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7684293Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7684691Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7685085Z self_outputs = self.self( 2025-08-14T22:00:41.7685465Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:00:41.7685899Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:00:41.7686403Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 863, in _sliding_chunks_matmul_attn_probs_value 2025-08-14T22:00:41.7686965Z padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1) 2025-08-14T22:00:41.7687374Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T22:00:41.7687707Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T22:00:41.7687858Z 2025-08-14T22:00:41.7687958Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7688447Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7688904Z layer_outputs = layer_module( 2025-08-14T22:00:41.7689228Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7689576Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7689973Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7690367Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7690784Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7691178Z self_outputs = self.self( 2025-08-14T22:00:41.7691555Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:00:41.7691985Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:00:41.7692485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 876, in _sliding_chunks_matmul_attn_probs_value 2025-08-14T22:00:41.7693004Z chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs) 2025-08-14T22:00:41.7693488Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize 2025-08-14T22:00:41.7693929Z chunked_hidden_states = nn.functional.pad( 2025-08-14T22:00:41.7694255Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T22:00:41.7694618Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T22:00:41.7694763Z 2025-08-14T22:00:41.7694864Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7695370Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7695838Z layer_outputs = layer_module( 2025-08-14T22:00:41.7696172Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7696522Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7696914Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7697327Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7697723Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7698114Z self_outputs = self.self( 2025-08-14T22:00:41.7698848Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:00:41.7699287Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:00:41.7699876Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value 2025-08-14T22:00:41.7700450Z context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value)) 2025-08-14T22:00:41.7700667Z 2025-08-14T22:00:41.7700773Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7701345Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7701801Z layer_outputs = layer_module( 2025-08-14T22:00:41.7702122Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7702464Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7702860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7703242Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7703631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7704013Z self_outputs = self.self( 2025-08-14T22:00:41.7704387Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:00:41.7704810Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:00:41.7705320Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value 2025-08-14T22:00:41.7705847Z context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value)) 2025-08-14T22:00:41.7706042Z 2025-08-14T22:00:41.7706341Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7706819Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7707272Z layer_outputs = layer_module( 2025-08-14T22:00:41.7707600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7707947Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7708331Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7708761Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7709150Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward 2025-08-14T22:00:41.7709591Z attn_output = self.output(self_outputs[0], hidden_states) 2025-08-14T22:00:41.7710007Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward 2025-08-14T22:00:41.7710404Z hidden_states = self.dense(hidden_states) 2025-08-14T22:00:41.7710534Z 2025-08-14T22:00:41.7710638Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7711105Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7711574Z layer_outputs = layer_module( 2025-08-14T22:00:41.7711901Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7712237Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7712619Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7713008Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7713394Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward 2025-08-14T22:00:41.7713806Z attn_output = self.output(self_outputs[0], hidden_states) 2025-08-14T22:00:41.7714221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward 2025-08-14T22:00:41.7714620Z hidden_states = self.dense(hidden_states) 2025-08-14T22:00:41.7714747Z 2025-08-14T22:00:41.7714851Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7715317Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7715765Z layer_outputs = layer_module( 2025-08-14T22:00:41.7716093Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7716432Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7716811Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward 2025-08-14T22:00:41.7717206Z layer_output = apply_chunking_to_forward( 2025-08-14T22:00:41.7717583Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-08-14T22:00:41.7717952Z return forward_fn(*input_tensors) 2025-08-14T22:00:41.7718353Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk 2025-08-14T22:00:41.7718782Z intermediate_output = self.intermediate(attn_output) 2025-08-14T22:00:41.7719207Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1160, in forward 2025-08-14T22:00:41.7719594Z hidden_states = self.dense(hidden_states) 2025-08-14T22:00:41.7719729Z 2025-08-14T22:00:41.7719827Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7720299Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7720745Z layer_outputs = layer_module( 2025-08-14T22:00:41.7721063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7721403Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7721790Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward 2025-08-14T22:00:41.7722200Z layer_output = apply_chunking_to_forward( 2025-08-14T22:00:41.7722592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-08-14T22:00:41.7722983Z return forward_fn(*input_tensors) 2025-08-14T22:00:41.7723393Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk 2025-08-14T22:00:41.7723838Z intermediate_output = self.intermediate(attn_output) 2025-08-14T22:00:41.7724268Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1161, in forward 2025-08-14T22:00:41.7724717Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-08-14T22:00:41.7725086Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward 2025-08-14T22:00:41.7725420Z return self.act(input) 2025-08-14T22:00:41.7725538Z 2025-08-14T22:00:41.7725641Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7726141Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7726620Z layer_outputs = layer_module( 2025-08-14T22:00:41.7726956Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7727308Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7727715Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward 2025-08-14T22:00:41.7728125Z layer_output = apply_chunking_to_forward( 2025-08-14T22:00:41.7728520Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-08-14T22:00:41.7728907Z return forward_fn(*input_tensors) 2025-08-14T22:00:41.7729314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1219, in ff_chunk 2025-08-14T22:00:41.7729765Z layer_output = self.output(intermediate_output, attn_output) 2025-08-14T22:00:41.7730215Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1174, in forward 2025-08-14T22:00:41.7730631Z hidden_states = self.dense(hidden_states) 2025-08-14T22:00:41.7730766Z 2025-08-14T22:00:41.7730873Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7731361Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7731852Z layer_outputs = layer_module( 2025-08-14T22:00:41.7732198Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7732558Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7732940Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7733336Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7733724Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7734103Z self_outputs = self.self( 2025-08-14T22:00:41.7734477Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward 2025-08-14T22:00:41.7734874Z query_vectors = self.query(hidden_states) 2025-08-14T22:00:41.7735001Z 2025-08-14T22:00:41.7735107Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7735589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7736041Z layer_outputs = layer_module( 2025-08-14T22:00:41.7736379Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7736716Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7737094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7737481Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7737867Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7738263Z self_outputs = self.self( 2025-08-14T22:00:41.7738644Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-08-14T22:00:41.7739059Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-08-14T22:00:41.7739525Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul 2025-08-14T22:00:41.7740181Z diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key)) # multiply 2025-08-14T22:00:41.7740437Z 2025-08-14T22:00:41.7740544Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7741067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7741521Z layer_outputs = layer_module( 2025-08-14T22:00:41.7741839Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7742182Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7742576Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7742967Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7743351Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7743734Z self_outputs = self.self( 2025-08-14T22:00:41.7744103Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 510, in forward 2025-08-14T22:00:41.7744485Z key_vectors = self.key(hidden_states) 2025-08-14T22:00:41.7744618Z 2025-08-14T22:00:41.7744716Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7745218Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7745665Z layer_outputs = layer_module( 2025-08-14T22:00:41.7745980Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7746315Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7746702Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7747086Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7747461Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7747840Z self_outputs = self.self( 2025-08-14T22:00:41.7748211Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-08-14T22:00:41.7748616Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-08-14T22:00:41.7749138Z 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 2025-08-14T22:00:41.7749667Z key = self._chunk(key, window_overlap, getattr(self.config, "onnx_export", False)) 2025-08-14T22:00:41.7750134Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 719, in _chunk 2025-08-14T22:00:41.7750516Z hidden_states = hidden_states.view( 2025-08-14T22:00:41.7750647Z 2025-08-14T22:00:41.7750745Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7751223Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7751690Z layer_outputs = layer_module( 2025-08-14T22:00:41.7752013Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7752358Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7752745Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7753132Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7753509Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7753892Z self_outputs = self.self( 2025-08-14T22:00:41.7754259Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-08-14T22:00:41.7754663Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-08-14T22:00:41.7755130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul 2025-08-14T22:00:41.7755675Z diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key)) # multiply 2025-08-14T22:00:41.7755903Z 2025-08-14T22:00:41.7755986Z cudagraph partition due to non gpu ops 2025-08-14T22:00:41.7756180Z cudagraph partition due to non gpu ops 2025-08-14T22:00:41.7756377Z cudagraph partition due to non gpu ops 2025-08-14T22:00:41.7756565Z cudagraph partition due to non gpu ops 2025-08-14T22:00:41.7756777Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7757256Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7757707Z layer_outputs = layer_module( 2025-08-14T22:00:41.7758035Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7758372Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7758775Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7759167Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7759556Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7759930Z self_outputs = self.self( 2025-08-14T22:00:41.7760301Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 536, in forward 2025-08-14T22:00:41.7760403Z diagonal_mask = self._sliding_chunks_query_key_matmul( 2025-08-14T22:00:41.7760726Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 834, in _sliding_chunks_query_key_matmul 2025-08-14T22:00:41.7760862Z self._mask_invalid_locations(diagonal_attention_scores, window_overlap) 2025-08-14T22:00:41.7761168Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 762, in _mask_invalid_locations 2025-08-14T22:00:41.7761321Z input_tensor[:, :affected_seq_len, :, : affected_seq_len + 1] = torch.full_like( 2025-08-14T22:00:41.7761325Z 2025-08-14T22:00:41.7761414Z cudagraph partition due to non gpu ops 2025-08-14T22:00:41.7761523Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7761849Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7761926Z layer_outputs = layer_module( 2025-08-14T22:00:41.7762145Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7762240Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7762522Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7762597Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7762870Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7762946Z self_outputs = self.self( 2025-08-14T22:00:41.7763226Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward 2025-08-14T22:00:41.7763302Z attn_scores += diagonal_mask 2025-08-14T22:00:41.7763306Z 2025-08-14T22:00:41.7763404Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7763737Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7763816Z layer_outputs = layer_module( 2025-08-14T22:00:41.7764034Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7764115Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7764373Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7764444Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7764709Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7764774Z self_outputs = self.self( 2025-08-14T22:00:41.7765035Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward 2025-08-14T22:00:41.7765123Z attn_probs = nn.functional.softmax( 2025-08-14T22:00:41.7765127Z 2025-08-14T22:00:41.7765228Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7765591Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7765665Z layer_outputs = layer_module( 2025-08-14T22:00:41.7765884Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7765967Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7766240Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7766320Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7766604Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7766673Z self_outputs = self.self( 2025-08-14T22:00:41.7766951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 511, in forward 2025-08-14T22:00:41.7767037Z value_vectors = self.value(hidden_states) 2025-08-14T22:00:41.7767060Z 2025-08-14T22:00:41.7767170Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7767523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7767596Z layer_outputs = layer_module( 2025-08-14T22:00:41.7767819Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7767896Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7768169Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7768269Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7768548Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7768624Z self_outputs = self.self( 2025-08-14T22:00:41.7768902Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:00:41.7769021Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:00:41.7769373Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 863, in _sliding_chunks_matmul_attn_probs_value 2025-08-14T22:00:41.7769543Z padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1) 2025-08-14T22:00:41.7769738Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T22:00:41.7769837Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T22:00:41.7769841Z 2025-08-14T22:00:41.7769941Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7770293Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7770366Z layer_outputs = layer_module( 2025-08-14T22:00:41.7770586Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7770663Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7770935Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7771012Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7771285Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7771356Z self_outputs = self.self( 2025-08-14T22:00:41.7771655Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:00:41.7771773Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:00:41.7772128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 876, in _sliding_chunks_matmul_attn_probs_value 2025-08-14T22:00:41.7772261Z chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs) 2025-08-14T22:00:41.7772574Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize 2025-08-14T22:00:41.7772666Z chunked_hidden_states = nn.functional.pad( 2025-08-14T22:00:41.7772845Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T22:00:41.7772946Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T22:00:41.7772950Z 2025-08-14T22:00:41.7773046Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7773374Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7773468Z layer_outputs = layer_module( 2025-08-14T22:00:41.7773687Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7773770Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7774029Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7774102Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7774368Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7774458Z self_outputs = self.self( 2025-08-14T22:00:41.7774723Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:00:41.7774841Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:00:41.7775174Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value 2025-08-14T22:00:41.7775326Z context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value)) 2025-08-14T22:00:41.7775330Z 2025-08-14T22:00:41.7775426Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7775758Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7775837Z layer_outputs = layer_module( 2025-08-14T22:00:41.7776046Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7776124Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7776391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7776462Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7776740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7776805Z self_outputs = self.self( 2025-08-14T22:00:41.7777072Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:00:41.7777180Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:00:41.7777508Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value 2025-08-14T22:00:41.7777696Z context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value)) 2025-08-14T22:00:41.7777700Z 2025-08-14T22:00:41.7777797Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7778126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7778195Z layer_outputs = layer_module( 2025-08-14T22:00:41.7778399Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7778478Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7778739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7778811Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7779078Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward 2025-08-14T22:00:41.7779196Z attn_output = self.output(self_outputs[0], hidden_states) 2025-08-14T22:00:41.7779462Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward 2025-08-14T22:00:41.7779557Z hidden_states = self.dense(hidden_states) 2025-08-14T22:00:41.7779561Z 2025-08-14T22:00:41.7779664Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7780097Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7780177Z layer_outputs = layer_module( 2025-08-14T22:00:41.7780405Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7780508Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7780791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7780877Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7781155Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward 2025-08-14T22:00:41.7781258Z attn_output = self.output(self_outputs[0], hidden_states) 2025-08-14T22:00:41.7781526Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward 2025-08-14T22:00:41.7781606Z hidden_states = self.dense(hidden_states) 2025-08-14T22:00:41.7781609Z 2025-08-14T22:00:41.7781715Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7782037Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7782108Z layer_outputs = layer_module( 2025-08-14T22:00:41.7782323Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7782397Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7782667Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward 2025-08-14T22:00:41.7782748Z layer_output = apply_chunking_to_forward( 2025-08-14T22:00:41.7782992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-08-14T22:00:41.7783076Z return forward_fn(*input_tensors) 2025-08-14T22:00:41.7783339Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk 2025-08-14T22:00:41.7783452Z intermediate_output = self.intermediate(attn_output) 2025-08-14T22:00:41.7783729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1160, in forward 2025-08-14T22:00:41.7783809Z hidden_states = self.dense(hidden_states) 2025-08-14T22:00:41.7783812Z 2025-08-14T22:00:41.7783915Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7784247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7784315Z layer_outputs = layer_module( 2025-08-14T22:00:41.7784527Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7784599Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7784867Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward 2025-08-14T22:00:41.7784945Z layer_output = apply_chunking_to_forward( 2025-08-14T22:00:41.7785189Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-08-14T22:00:41.7785286Z return forward_fn(*input_tensors) 2025-08-14T22:00:41.7785560Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk 2025-08-14T22:00:41.7785671Z intermediate_output = self.intermediate(attn_output) 2025-08-14T22:00:41.7785927Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1161, in forward 2025-08-14T22:00:41.7786033Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-08-14T22:00:41.7786239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward 2025-08-14T22:00:41.7786331Z return self.act(input) 2025-08-14T22:00:41.7786334Z 2025-08-14T22:00:41.7786439Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7786771Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7786842Z layer_outputs = layer_module( 2025-08-14T22:00:41.7787056Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7787129Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7787392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward 2025-08-14T22:00:41.7787476Z layer_output = apply_chunking_to_forward( 2025-08-14T22:00:41.7787717Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-08-14T22:00:41.7787795Z return forward_fn(*input_tensors) 2025-08-14T22:00:41.7788061Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1219, in ff_chunk 2025-08-14T22:00:41.7788177Z layer_output = self.output(intermediate_output, attn_output) 2025-08-14T22:00:41.7788448Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1174, in forward 2025-08-14T22:00:41.7788524Z hidden_states = self.dense(hidden_states) 2025-08-14T22:00:41.7788528Z 2025-08-14T22:00:41.7788630Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7788962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7789032Z layer_outputs = layer_module( 2025-08-14T22:00:41.7789251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7789325Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7789600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7789682Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7789944Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7790020Z self_outputs = self.self( 2025-08-14T22:00:41.7790284Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward 2025-08-14T22:00:41.7790363Z query_vectors = self.query(hidden_states) 2025-08-14T22:00:41.7790366Z 2025-08-14T22:00:41.7790474Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7790798Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7790877Z layer_outputs = layer_module( 2025-08-14T22:00:41.7791094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7791167Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7791444Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7791517Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7791781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7791844Z self_outputs = self.self( 2025-08-14T22:00:41.7792102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-08-14T22:00:41.7792217Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-08-14T22:00:41.7792533Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul 2025-08-14T22:00:41.7792706Z diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key)) # multiply 2025-08-14T22:00:41.7792717Z 2025-08-14T22:00:41.7792815Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7793140Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7793214Z layer_outputs = layer_module( 2025-08-14T22:00:41.7793417Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7793490Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7793758Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7793832Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7794098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7794163Z self_outputs = self.self( 2025-08-14T22:00:41.7794421Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 510, in forward 2025-08-14T22:00:41.7794503Z key_vectors = self.key(hidden_states) 2025-08-14T22:00:41.7794506Z 2025-08-14T22:00:41.7794602Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7794929Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7794998Z layer_outputs = layer_module( 2025-08-14T22:00:41.7795202Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7795295Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7795556Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7795627Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7795889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7795954Z self_outputs = self.self( 2025-08-14T22:00:41.7796215Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-08-14T22:00:41.7796311Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-08-14T22:00:41.7796622Z 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 2025-08-14T22:00:41.7796774Z key = self._chunk(key, window_overlap, getattr(self.config, "onnx_export", False)) 2025-08-14T22:00:41.7797048Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 719, in _chunk 2025-08-14T22:00:41.7797146Z hidden_states = hidden_states.view( 2025-08-14T22:00:41.7797149Z 2025-08-14T22:00:41.7797241Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7797564Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7797638Z layer_outputs = layer_module( 2025-08-14T22:00:41.7797843Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7797939Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7798200Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7798272Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7798537Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7798604Z self_outputs = self.self( 2025-08-14T22:00:41.7798863Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-08-14T22:00:41.7798965Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-08-14T22:00:41.7799279Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul 2025-08-14T22:00:41.7799459Z diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key)) # multiply 2025-08-14T22:00:41.7799464Z 2025-08-14T22:00:41.7799542Z cudagraph partition due to non gpu ops 2025-08-14T22:00:41.7799620Z cudagraph partition due to non gpu ops 2025-08-14T22:00:41.7799702Z cudagraph partition due to non gpu ops 2025-08-14T22:00:41.7799775Z cudagraph partition due to non gpu ops 2025-08-14T22:00:41.7799880Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7800205Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7800273Z layer_outputs = layer_module( 2025-08-14T22:00:41.7800485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7800560Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7800827Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7800909Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7801192Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7801270Z self_outputs = self.self( 2025-08-14T22:00:41.7801538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 536, in forward 2025-08-14T22:00:41.7801645Z diagonal_mask = self._sliding_chunks_query_key_matmul( 2025-08-14T22:00:41.7801971Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 834, in _sliding_chunks_query_key_matmul 2025-08-14T22:00:41.7802107Z self._mask_invalid_locations(diagonal_attention_scores, window_overlap) 2025-08-14T22:00:41.7802422Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 762, in _mask_invalid_locations 2025-08-14T22:00:41.7802571Z input_tensor[:, :affected_seq_len, :, : affected_seq_len + 1] = torch.full_like( 2025-08-14T22:00:41.7802577Z 2025-08-14T22:00:41.7802672Z cudagraph partition due to non gpu ops 2025-08-14T22:00:41.7802785Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7803149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7803228Z layer_outputs = layer_module( 2025-08-14T22:00:41.7803439Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7803515Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7803792Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7803880Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7804153Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7804230Z self_outputs = self.self( 2025-08-14T22:00:41.7804500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward 2025-08-14T22:00:41.7804578Z attn_scores += diagonal_mask 2025-08-14T22:00:41.7804581Z 2025-08-14T22:00:41.7804688Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7805014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7805087Z layer_outputs = layer_module( 2025-08-14T22:00:41.7805293Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7805375Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7805637Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7805710Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7805977Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7806043Z self_outputs = self.self( 2025-08-14T22:00:41.7806421Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward 2025-08-14T22:00:41.7806512Z attn_probs = nn.functional.softmax( 2025-08-14T22:00:41.7806515Z 2025-08-14T22:00:41.7806611Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7806943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7807013Z layer_outputs = layer_module( 2025-08-14T22:00:41.7807255Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7807342Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7807606Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7807685Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7807945Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7808012Z self_outputs = self.self( 2025-08-14T22:00:41.7808276Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 511, in forward 2025-08-14T22:00:41.7808355Z value_vectors = self.value(hidden_states) 2025-08-14T22:00:41.7808360Z 2025-08-14T22:00:41.7808454Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7808787Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7808877Z layer_outputs = layer_module( 2025-08-14T22:00:41.7809110Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7809185Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7809448Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7809525Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7809786Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7809881Z self_outputs = self.self( 2025-08-14T22:00:41.7810139Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:00:41.7810251Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:00:41.7810585Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 863, in _sliding_chunks_matmul_attn_probs_value 2025-08-14T22:00:41.7810746Z padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1) 2025-08-14T22:00:41.7810928Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T22:00:41.7811021Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T22:00:41.7811024Z 2025-08-14T22:00:41.7811117Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7811454Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7811522Z layer_outputs = layer_module( 2025-08-14T22:00:41.7811733Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7811808Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7812065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7812142Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7812402Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7812468Z self_outputs = self.self( 2025-08-14T22:00:41.7812730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:00:41.7812839Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:00:41.7813182Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 876, in _sliding_chunks_matmul_attn_probs_value 2025-08-14T22:00:41.7813314Z chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs) 2025-08-14T22:00:41.7813615Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize 2025-08-14T22:00:41.7813707Z chunked_hidden_states = nn.functional.pad( 2025-08-14T22:00:41.7813885Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T22:00:41.7813981Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T22:00:41.7813984Z 2025-08-14T22:00:41.7814082Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7814412Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7814488Z layer_outputs = layer_module( 2025-08-14T22:00:41.7814708Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7814782Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7815065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7815138Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7815412Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7815478Z self_outputs = self.self( 2025-08-14T22:00:41.7815735Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:00:41.7815868Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:00:41.7816197Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value 2025-08-14T22:00:41.7816348Z context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value)) 2025-08-14T22:00:41.7816351Z 2025-08-14T22:00:41.7816448Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7816777Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7816854Z layer_outputs = layer_module( 2025-08-14T22:00:41.7817061Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7817142Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7817405Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7817479Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7817748Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7817814Z self_outputs = self.self( 2025-08-14T22:00:41.7818075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:00:41.7818190Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:00:41.7818517Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value 2025-08-14T22:00:41.7818664Z context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value)) 2025-08-14T22:00:41.7818669Z 2025-08-14T22:00:41.7818765Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7819106Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7819181Z layer_outputs = layer_module( 2025-08-14T22:00:41.7819387Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7819474Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7819759Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7819886Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7820176Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward 2025-08-14T22:00:41.7820289Z attn_output = self.output(self_outputs[0], hidden_states) 2025-08-14T22:00:41.7820574Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward 2025-08-14T22:00:41.7820681Z hidden_states = self.dense(hidden_states) 2025-08-14T22:00:41.7820685Z 2025-08-14T22:00:41.7820793Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7821155Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7821230Z layer_outputs = layer_module( 2025-08-14T22:00:41.7821458Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7821532Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7821836Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7821935Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7822204Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward 2025-08-14T22:00:41.7822314Z attn_output = self.output(self_outputs[0], hidden_states) 2025-08-14T22:00:41.7822591Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward 2025-08-14T22:00:41.7822673Z hidden_states = self.dense(hidden_states) 2025-08-14T22:00:41.7822676Z 2025-08-14T22:00:41.7822781Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7823113Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7823185Z layer_outputs = layer_module( 2025-08-14T22:00:41.7823404Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7823480Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7823752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward 2025-08-14T22:00:41.7823834Z layer_output = apply_chunking_to_forward( 2025-08-14T22:00:41.7824085Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-08-14T22:00:41.7824167Z return forward_fn(*input_tensors) 2025-08-14T22:00:41.7824434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk 2025-08-14T22:00:41.7824547Z intermediate_output = self.intermediate(attn_output) 2025-08-14T22:00:41.7824809Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1160, in forward 2025-08-14T22:00:41.7824889Z hidden_states = self.dense(hidden_states) 2025-08-14T22:00:41.7824892Z 2025-08-14T22:00:41.7825013Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7825346Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7825416Z layer_outputs = layer_module( 2025-08-14T22:00:41.7825635Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7825709Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7825982Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward 2025-08-14T22:00:41.7826062Z layer_output = apply_chunking_to_forward( 2025-08-14T22:00:41.7826307Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-08-14T22:00:41.7826388Z return forward_fn(*input_tensors) 2025-08-14T22:00:41.7826656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk 2025-08-14T22:00:41.7826781Z intermediate_output = self.intermediate(attn_output) 2025-08-14T22:00:41.7827060Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1161, in forward 2025-08-14T22:00:41.7827170Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-08-14T22:00:41.7827379Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward 2025-08-14T22:00:41.7827448Z return self.act(input) 2025-08-14T22:00:41.7827452Z 2025-08-14T22:00:41.7827548Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7827889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7827977Z layer_outputs = layer_module( 2025-08-14T22:00:41.7828197Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7828273Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7828546Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward 2025-08-14T22:00:41.7828635Z layer_output = apply_chunking_to_forward( 2025-08-14T22:00:41.7828884Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-08-14T22:00:41.7828964Z return forward_fn(*input_tensors) 2025-08-14T22:00:41.7829241Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1219, in ff_chunk 2025-08-14T22:00:41.7829360Z layer_output = self.output(intermediate_output, attn_output) 2025-08-14T22:00:41.7829640Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1174, in forward 2025-08-14T22:00:41.7829719Z hidden_states = self.dense(hidden_states) 2025-08-14T22:00:41.7829723Z 2025-08-14T22:00:41.7829827Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7830163Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7830233Z layer_outputs = layer_module( 2025-08-14T22:00:41.7830455Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7830530Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7830801Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7830883Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7831174Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7831253Z self_outputs = self.self( 2025-08-14T22:00:41.7831519Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward 2025-08-14T22:00:41.7831598Z query_vectors = self.query(hidden_states) 2025-08-14T22:00:41.7831601Z 2025-08-14T22:00:41.7831710Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7832043Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7832118Z layer_outputs = layer_module( 2025-08-14T22:00:41.7832329Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7832405Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7832681Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7832771Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7833060Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7833132Z self_outputs = self.self( 2025-08-14T22:00:41.7833395Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-08-14T22:00:41.7833500Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-08-14T22:00:41.7833824Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul 2025-08-14T22:00:41.7834017Z diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key)) # multiply 2025-08-14T22:00:41.7834029Z 2025-08-14T22:00:41.7834129Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7834479Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7834553Z layer_outputs = layer_module( 2025-08-14T22:00:41.7834759Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7834833Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7835099Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7835168Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7835431Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7835499Z self_outputs = self.self( 2025-08-14T22:00:41.7835756Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 510, in forward 2025-08-14T22:00:41.7835838Z key_vectors = self.key(hidden_states) 2025-08-14T22:00:41.7835841Z 2025-08-14T22:00:41.7835937Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7836273Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7836340Z layer_outputs = layer_module( 2025-08-14T22:00:41.7836550Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7836630Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7836890Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7836975Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7837243Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7837308Z self_outputs = self.self( 2025-08-14T22:00:41.7837572Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-08-14T22:00:41.7837667Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-08-14T22:00:41.7837981Z 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 2025-08-14T22:00:41.7838134Z key = self._chunk(key, window_overlap, getattr(self.config, "onnx_export", False)) 2025-08-14T22:00:41.7838397Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 719, in _chunk 2025-08-14T22:00:41.7838477Z hidden_states = hidden_states.view( 2025-08-14T22:00:41.7838496Z 2025-08-14T22:00:41.7838594Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7838930Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7839008Z layer_outputs = layer_module( 2025-08-14T22:00:41.7839213Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7839293Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7839552Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7839638Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7839915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7839982Z self_outputs = self.self( 2025-08-14T22:00:41.7840238Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-08-14T22:00:41.7840343Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-08-14T22:00:41.7840656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul 2025-08-14T22:00:41.7840835Z diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key)) # multiply 2025-08-14T22:00:41.7840838Z 2025-08-14T22:00:41.7840917Z cudagraph partition due to non gpu ops 2025-08-14T22:00:41.7840995Z cudagraph partition due to non gpu ops 2025-08-14T22:00:41.7841077Z cudagraph partition due to non gpu ops 2025-08-14T22:00:41.7841149Z cudagraph partition due to non gpu ops 2025-08-14T22:00:41.7841243Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7841578Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7841647Z layer_outputs = layer_module( 2025-08-14T22:00:41.7841859Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7841933Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7842191Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7842267Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7842527Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7842599Z self_outputs = self.self( 2025-08-14T22:00:41.7842887Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 536, in forward 2025-08-14T22:00:41.7842995Z diagonal_mask = self._sliding_chunks_query_key_matmul( 2025-08-14T22:00:41.7843335Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 834, in _sliding_chunks_query_key_matmul 2025-08-14T22:00:41.7843475Z self._mask_invalid_locations(diagonal_attention_scores, window_overlap) 2025-08-14T22:00:41.7843804Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 762, in _mask_invalid_locations 2025-08-14T22:00:41.7843944Z input_tensor[:, :affected_seq_len, :, : affected_seq_len + 1] = torch.full_like( 2025-08-14T22:00:41.7843947Z 2025-08-14T22:00:41.7844022Z cudagraph partition due to non gpu ops 2025-08-14T22:00:41.7844124Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7844461Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7844551Z layer_outputs = layer_module( 2025-08-14T22:00:41.7844769Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7844844Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7845109Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7845177Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7845437Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7845526Z self_outputs = self.self( 2025-08-14T22:00:41.7845781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward 2025-08-14T22:00:41.7845859Z attn_scores += diagonal_mask 2025-08-14T22:00:41.7845863Z 2025-08-14T22:00:41.7845958Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7846281Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7846355Z layer_outputs = layer_module( 2025-08-14T22:00:41.7846565Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7846647Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7846906Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7846979Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7847245Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7847313Z self_outputs = self.self( 2025-08-14T22:00:41.7847571Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward 2025-08-14T22:00:41.7847654Z attn_probs = nn.functional.softmax( 2025-08-14T22:00:41.7847657Z 2025-08-14T22:00:41.7847753Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7848084Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7848153Z layer_outputs = layer_module( 2025-08-14T22:00:41.7848360Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7848443Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7848716Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7848798Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7849063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7849131Z self_outputs = self.self( 2025-08-14T22:00:41.7849396Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 511, in forward 2025-08-14T22:00:41.7849473Z value_vectors = self.value(hidden_states) 2025-08-14T22:00:41.7849476Z 2025-08-14T22:00:41.7849572Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7849907Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7849975Z layer_outputs = layer_module( 2025-08-14T22:00:41.7850187Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7850275Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7850549Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7850628Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7850886Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7850960Z self_outputs = self.self( 2025-08-14T22:00:41.7851219Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:00:41.7851330Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:00:41.7851680Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 863, in _sliding_chunks_matmul_attn_probs_value 2025-08-14T22:00:41.7851839Z padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1) 2025-08-14T22:00:41.7852022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T22:00:41.7852113Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T22:00:41.7852116Z 2025-08-14T22:00:41.7852211Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7852539Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7852605Z layer_outputs = layer_module( 2025-08-14T22:00:41.7852807Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7852888Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7853146Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7853223Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7853484Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7853550Z self_outputs = self.self( 2025-08-14T22:00:41.7853812Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:00:41.7853920Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:00:41.7854249Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 876, in _sliding_chunks_matmul_attn_probs_value 2025-08-14T22:00:41.7854377Z chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs) 2025-08-14T22:00:41.7854683Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize 2025-08-14T22:00:41.7854778Z chunked_hidden_states = nn.functional.pad( 2025-08-14T22:00:41.7854959Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T22:00:41.7855058Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T22:00:41.7855062Z 2025-08-14T22:00:41.7855157Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7855483Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7855559Z layer_outputs = layer_module( 2025-08-14T22:00:41.7855766Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7855839Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7856105Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7856193Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7856470Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7856540Z self_outputs = self.self( 2025-08-14T22:00:41.7856799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:00:41.7856916Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:00:41.7857243Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value 2025-08-14T22:00:41.7857410Z context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value)) 2025-08-14T22:00:41.7857414Z 2025-08-14T22:00:41.7857508Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7857834Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7857910Z layer_outputs = layer_module( 2025-08-14T22:00:41.7858113Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7858193Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7858456Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7858525Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7858788Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7858853Z self_outputs = self.self( 2025-08-14T22:00:41.7859112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:00:41.7859226Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:00:41.7859553Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value 2025-08-14T22:00:41.7859697Z context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value)) 2025-08-14T22:00:41.7859701Z 2025-08-14T22:00:41.7859856Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7860201Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7860282Z layer_outputs = layer_module( 2025-08-14T22:00:41.7860524Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7860618Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7860904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7860977Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7861294Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward 2025-08-14T22:00:41.7861399Z attn_output = self.output(self_outputs[0], hidden_states) 2025-08-14T22:00:41.7861668Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward 2025-08-14T22:00:41.7861748Z hidden_states = self.dense(hidden_states) 2025-08-14T22:00:41.7861752Z 2025-08-14T22:00:41.7861846Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7862184Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7862565Z layer_outputs = layer_module( 2025-08-14T22:00:41.7862808Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7862890Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7863165Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7863247Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7863520Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward 2025-08-14T22:00:41.7863656Z attn_output = self.output(self_outputs[0], hidden_states) 2025-08-14T22:00:41.7863938Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward 2025-08-14T22:00:41.7864021Z hidden_states = self.dense(hidden_states) 2025-08-14T22:00:41.7864024Z 2025-08-14T22:00:41.7864133Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7864478Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7864551Z layer_outputs = layer_module( 2025-08-14T22:00:41.7864776Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7864853Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7865135Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward 2025-08-14T22:00:41.7865219Z layer_output = apply_chunking_to_forward( 2025-08-14T22:00:41.7865475Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-08-14T22:00:41.7865564Z return forward_fn(*input_tensors) 2025-08-14T22:00:41.7865842Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk 2025-08-14T22:00:41.7865952Z intermediate_output = self.intermediate(attn_output) 2025-08-14T22:00:41.7866236Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1160, in forward 2025-08-14T22:00:41.7866318Z hidden_states = self.dense(hidden_states) 2025-08-14T22:00:41.7866321Z 2025-08-14T22:00:41.7866428Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7866771Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7866856Z layer_outputs = layer_module( 2025-08-14T22:00:41.7867087Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7867164Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7867449Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward 2025-08-14T22:00:41.7867531Z layer_output = apply_chunking_to_forward( 2025-08-14T22:00:41.7867788Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-08-14T22:00:41.7867870Z return forward_fn(*input_tensors) 2025-08-14T22:00:41.7868148Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk 2025-08-14T22:00:41.7868264Z intermediate_output = self.intermediate(attn_output) 2025-08-14T22:00:41.7868539Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1161, in forward 2025-08-14T22:00:41.7868665Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-08-14T22:00:41.7868896Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward 2025-08-14T22:00:41.7868971Z return self.act(input) 2025-08-14T22:00:41.7868974Z 2025-08-14T22:00:41.7869075Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7869425Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7869497Z layer_outputs = layer_module( 2025-08-14T22:00:41.7869719Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7869831Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7870103Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward 2025-08-14T22:00:41.7870192Z layer_output = apply_chunking_to_forward( 2025-08-14T22:00:41.7870433Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-08-14T22:00:41.7870510Z return forward_fn(*input_tensors) 2025-08-14T22:00:41.7870772Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1219, in ff_chunk 2025-08-14T22:00:41.7870885Z layer_output = self.output(intermediate_output, attn_output) 2025-08-14T22:00:41.7871150Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1174, in forward 2025-08-14T22:00:41.7871230Z hidden_states = self.dense(hidden_states) 2025-08-14T22:00:41.7871233Z 2025-08-14T22:00:41.7871338Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7871668Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7871737Z layer_outputs = layer_module( 2025-08-14T22:00:41.7871949Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7872024Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7872284Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7872363Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7872623Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7872697Z self_outputs = self.self( 2025-08-14T22:00:41.7872972Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward 2025-08-14T22:00:41.7873051Z query_vectors = self.query(hidden_states) 2025-08-14T22:00:41.7873055Z 2025-08-14T22:00:41.7873159Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7873489Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7873563Z layer_outputs = layer_module( 2025-08-14T22:00:41.7873772Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7873846Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7874114Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7874186Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7874452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7874540Z self_outputs = self.self( 2025-08-14T22:00:41.7874812Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-08-14T22:00:41.7874917Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-08-14T22:00:41.7875232Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul 2025-08-14T22:00:41.7875403Z diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key)) # multiply 2025-08-14T22:00:41.7875414Z 2025-08-14T22:00:41.7875526Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7875848Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7875922Z layer_outputs = layer_module( 2025-08-14T22:00:41.7876126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7876202Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7876469Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7876539Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7876806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7876873Z self_outputs = self.self( 2025-08-14T22:00:41.7877136Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 510, in forward 2025-08-14T22:00:41.7877219Z key_vectors = self.key(hidden_states) 2025-08-14T22:00:41.7877224Z 2025-08-14T22:00:41.7877320Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7877648Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7877715Z layer_outputs = layer_module( 2025-08-14T22:00:41.7877920Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7877998Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7878268Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7878337Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7878605Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7878684Z self_outputs = self.self( 2025-08-14T22:00:41.7878951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-08-14T22:00:41.7879043Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-08-14T22:00:41.7879358Z 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 2025-08-14T22:00:41.7879508Z key = self._chunk(key, window_overlap, getattr(self.config, "onnx_export", False)) 2025-08-14T22:00:41.7879767Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 719, in _chunk 2025-08-14T22:00:41.7879847Z hidden_states = hidden_states.view( 2025-08-14T22:00:41.7879852Z 2025-08-14T22:00:41.7879947Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7880273Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7880363Z layer_outputs = layer_module( 2025-08-14T22:00:41.7880582Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7880666Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7880928Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7880999Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7881269Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7881351Z self_outputs = self.self( 2025-08-14T22:00:41.7881612Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-08-14T22:00:41.7881713Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-08-14T22:00:41.7882031Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul 2025-08-14T22:00:41.7882210Z diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key)) # multiply 2025-08-14T22:00:41.7882214Z 2025-08-14T22:00:41.7882292Z cudagraph partition due to non gpu ops 2025-08-14T22:00:41.7882369Z cudagraph partition due to non gpu ops 2025-08-14T22:00:41.7882453Z cudagraph partition due to non gpu ops 2025-08-14T22:00:41.7882527Z cudagraph partition due to non gpu ops 2025-08-14T22:00:41.7882625Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7882972Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7883043Z layer_outputs = layer_module( 2025-08-14T22:00:41.7883264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7883344Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7883614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7883694Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7883961Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7884035Z self_outputs = self.self( 2025-08-14T22:00:41.7884299Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 536, in forward 2025-08-14T22:00:41.7884406Z diagonal_mask = self._sliding_chunks_query_key_matmul( 2025-08-14T22:00:41.7884755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 834, in _sliding_chunks_query_key_matmul 2025-08-14T22:00:41.7884889Z self._mask_invalid_locations(diagonal_attention_scores, window_overlap) 2025-08-14T22:00:41.7885196Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 762, in _mask_invalid_locations 2025-08-14T22:00:41.7885336Z input_tensor[:, :affected_seq_len, :, : affected_seq_len + 1] = torch.full_like( 2025-08-14T22:00:41.7885339Z 2025-08-14T22:00:41.7885412Z cudagraph partition due to non gpu ops 2025-08-14T22:00:41.7885513Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7885836Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7885904Z layer_outputs = layer_module( 2025-08-14T22:00:41.7886119Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7886208Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7886500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7886572Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7886835Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7886910Z self_outputs = self.self( 2025-08-14T22:00:41.7887166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward 2025-08-14T22:00:41.7887240Z attn_scores += diagonal_mask 2025-08-14T22:00:41.7887257Z 2025-08-14T22:00:41.7887356Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7887682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7887757Z layer_outputs = layer_module( 2025-08-14T22:00:41.7887965Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7888038Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7888304Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7888376Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7888645Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7888712Z self_outputs = self.self( 2025-08-14T22:00:41.7888969Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward 2025-08-14T22:00:41.7889052Z attn_probs = nn.functional.softmax( 2025-08-14T22:00:41.7889057Z 2025-08-14T22:00:41.7889153Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7889485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7889551Z layer_outputs = layer_module( 2025-08-14T22:00:41.7889754Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7889835Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7890092Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7890170Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7890446Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7890514Z self_outputs = self.self( 2025-08-14T22:00:41.7890780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 511, in forward 2025-08-14T22:00:41.7890860Z value_vectors = self.value(hidden_states) 2025-08-14T22:00:41.7890863Z 2025-08-14T22:00:41.7890956Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7891288Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7891353Z layer_outputs = layer_module( 2025-08-14T22:00:41.7891563Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7891637Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7891905Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7891997Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7892270Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7892345Z self_outputs = self.self( 2025-08-14T22:00:41.7892602Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:00:41.7892712Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:00:41.7893046Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 863, in _sliding_chunks_matmul_attn_probs_value 2025-08-14T22:00:41.7893221Z padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1) 2025-08-14T22:00:41.7893410Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T22:00:41.7893504Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T22:00:41.7893507Z 2025-08-14T22:00:41.7893601Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7893937Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7894004Z layer_outputs = layer_module( 2025-08-14T22:00:41.7894212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7894291Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7894554Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7894633Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7894896Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7894965Z self_outputs = self.self( 2025-08-14T22:00:41.7895235Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:00:41.7895344Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:00:41.7895682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 876, in _sliding_chunks_matmul_attn_probs_value 2025-08-14T22:00:41.7895811Z chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs) 2025-08-14T22:00:41.7896107Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize 2025-08-14T22:00:41.7896202Z chunked_hidden_states = nn.functional.pad( 2025-08-14T22:00:41.7896397Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T22:00:41.7896498Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T22:00:41.7896502Z 2025-08-14T22:00:41.7896597Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7896922Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7897001Z layer_outputs = layer_module( 2025-08-14T22:00:41.7897206Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7897281Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7897548Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7897621Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7897889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7897970Z self_outputs = self.self( 2025-08-14T22:00:41.7898244Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:00:41.7898360Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:00:41.7898687Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value 2025-08-14T22:00:41.7898836Z context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value)) 2025-08-14T22:00:41.7898839Z 2025-08-14T22:00:41.7898935Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7899277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7899353Z layer_outputs = layer_module( 2025-08-14T22:00:41.7899555Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7899637Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7899968Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7900048Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7900324Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7900394Z self_outputs = self.self( 2025-08-14T22:00:41.7900656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:00:41.7900777Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:00:41.7901113Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value 2025-08-14T22:00:41.7901276Z context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value)) 2025-08-14T22:00:41.7901279Z 2025-08-14T22:00:41.7901375Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7901710Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7901788Z layer_outputs = layer_module( 2025-08-14T22:00:41.7901991Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7902073Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7902354Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7902432Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7902708Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward 2025-08-14T22:00:41.7902820Z attn_output = self.output(self_outputs[0], hidden_states) 2025-08-14T22:00:41.7903096Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward 2025-08-14T22:00:41.7903178Z hidden_states = self.dense(hidden_states) 2025-08-14T22:00:41.7903182Z 2025-08-14T22:00:41.7903278Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7903619Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7903691Z layer_outputs = layer_module( 2025-08-14T22:00:41.7903912Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7904004Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7904284Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7904365Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7904630Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward 2025-08-14T22:00:41.7904736Z attn_output = self.output(self_outputs[0], hidden_states) 2025-08-14T22:00:41.7905009Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward 2025-08-14T22:00:41.7905105Z hidden_states = self.dense(hidden_states) 2025-08-14T22:00:41.7905108Z 2025-08-14T22:00:41.7905215Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7905552Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7905621Z layer_outputs = layer_module( 2025-08-14T22:00:41.7905839Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7905913Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7906349Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward 2025-08-14T22:00:41.7906437Z layer_output = apply_chunking_to_forward( 2025-08-14T22:00:41.7906689Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-08-14T22:00:41.7906776Z return forward_fn(*input_tensors) 2025-08-14T22:00:41.7907048Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk 2025-08-14T22:00:41.7907156Z intermediate_output = self.intermediate(attn_output) 2025-08-14T22:00:41.7907430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1160, in forward 2025-08-14T22:00:41.7907509Z hidden_states = self.dense(hidden_states) 2025-08-14T22:00:41.7907512Z 2025-08-14T22:00:41.7907620Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7907956Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7908026Z layer_outputs = layer_module( 2025-08-14T22:00:41.7908245Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7908320Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7908643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward 2025-08-14T22:00:41.7908726Z layer_output = apply_chunking_to_forward( 2025-08-14T22:00:41.7908973Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-08-14T22:00:41.7909054Z return forward_fn(*input_tensors) 2025-08-14T22:00:41.7909322Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk 2025-08-14T22:00:41.7909432Z intermediate_output = self.intermediate(attn_output) 2025-08-14T22:00:41.7909694Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1161, in forward 2025-08-14T22:00:41.7909804Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-08-14T22:00:41.7910015Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward 2025-08-14T22:00:41.7910115Z return self.act(input) 2025-08-14T22:00:41.7910118Z 2025-08-14T22:00:41.7910217Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7910579Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7910653Z layer_outputs = layer_module( 2025-08-14T22:00:41.7910870Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7910947Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7911225Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward 2025-08-14T22:00:41.7911334Z layer_output = apply_chunking_to_forward( 2025-08-14T22:00:41.7911584Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-08-14T22:00:41.7911667Z return forward_fn(*input_tensors) 2025-08-14T22:00:41.7911939Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1219, in ff_chunk 2025-08-14T22:00:41.7912056Z layer_output = self.output(intermediate_output, attn_output) 2025-08-14T22:00:41.7912334Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1174, in forward 2025-08-14T22:00:41.7912414Z hidden_states = self.dense(hidden_states) 2025-08-14T22:00:41.7912417Z 2025-08-14T22:00:41.7912522Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7912857Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7912931Z layer_outputs = layer_module( 2025-08-14T22:00:41.7913151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7913226Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7913494Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7913576Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7913847Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7913923Z self_outputs = self.self( 2025-08-14T22:00:41.7914187Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward 2025-08-14T22:00:41.7914267Z query_vectors = self.query(hidden_states) 2025-08-14T22:00:41.7914270Z 2025-08-14T22:00:41.7914389Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7914732Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7914807Z layer_outputs = layer_module( 2025-08-14T22:00:41.7915014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7915088Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7915355Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7915427Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7915688Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7915764Z self_outputs = self.self( 2025-08-14T22:00:41.7916028Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-08-14T22:00:41.7916144Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-08-14T22:00:41.7916473Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul 2025-08-14T22:00:41.7916651Z diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key)) # multiply 2025-08-14T22:00:41.7916655Z 2025-08-14T22:00:41.7916756Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7917078Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7917168Z layer_outputs = layer_module( 2025-08-14T22:00:41.7917375Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7917450Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7917718Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7917791Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7918061Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7918127Z self_outputs = self.self( 2025-08-14T22:00:41.7918390Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 510, in forward 2025-08-14T22:00:41.7918823Z key_vectors = self.key(hidden_states) 2025-08-14T22:00:41.7918955Z 2025-08-14T22:00:41.7919063Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7919558Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7920019Z layer_outputs = layer_module( 2025-08-14T22:00:41.7920354Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7920699Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7921089Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7921482Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7921883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7922272Z self_outputs = self.self( 2025-08-14T22:00:41.7922650Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-08-14T22:00:41.7923091Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-08-14T22:00:41.7923578Z 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 2025-08-14T22:00:41.7924108Z key = self._chunk(key, window_overlap, getattr(self.config, "onnx_export", False)) 2025-08-14T22:00:41.7924605Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 719, in _chunk 2025-08-14T22:00:41.7924991Z hidden_states = hidden_states.view( 2025-08-14T22:00:41.7925116Z 2025-08-14T22:00:41.7925221Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7925696Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7926143Z layer_outputs = layer_module( 2025-08-14T22:00:41.7926469Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7926826Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7927204Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7927601Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7927994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7928388Z self_outputs = self.self( 2025-08-14T22:00:41.7928761Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-08-14T22:00:41.7929186Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-08-14T22:00:41.7929665Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul 2025-08-14T22:00:41.7930220Z diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key)) # multiply 2025-08-14T22:00:41.7930448Z 2025-08-14T22:00:41.7930524Z cudagraph partition due to non gpu ops 2025-08-14T22:00:41.7930730Z cudagraph partition due to non gpu ops 2025-08-14T22:00:41.7930931Z cudagraph partition due to non gpu ops 2025-08-14T22:00:41.7931121Z cudagraph partition due to non gpu ops 2025-08-14T22:00:41.7931342Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7931824Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7932279Z layer_outputs = layer_module( 2025-08-14T22:00:41.7932601Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7932943Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7933335Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7933717Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7934106Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7934489Z self_outputs = self.self( 2025-08-14T22:00:41.7934861Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 536, in forward 2025-08-14T22:00:41.7935275Z diagonal_mask = self._sliding_chunks_query_key_matmul( 2025-08-14T22:00:41.7935746Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 834, in _sliding_chunks_query_key_matmul 2025-08-14T22:00:41.7936250Z self._mask_invalid_locations(diagonal_attention_scores, window_overlap) 2025-08-14T22:00:41.7936755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 762, in _mask_invalid_locations 2025-08-14T22:00:41.7937251Z input_tensor[:, :affected_seq_len, :, : affected_seq_len + 1] = torch.full_like( 2025-08-14T22:00:41.7937450Z 2025-08-14T22:00:41.7937527Z cudagraph partition due to non gpu ops 2025-08-14T22:00:41.7937751Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7938232Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7938683Z layer_outputs = layer_module( 2025-08-14T22:00:41.7939013Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7939357Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7939743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7940217Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7940618Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7941034Z self_outputs = self.self( 2025-08-14T22:00:41.7941417Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward 2025-08-14T22:00:41.7941806Z attn_scores += diagonal_mask 2025-08-14T22:00:41.7941921Z 2025-08-14T22:00:41.7942029Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7942503Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7942962Z layer_outputs = layer_module( 2025-08-14T22:00:41.7943294Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7943636Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7944030Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7944419Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7944804Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7945186Z self_outputs = self.self( 2025-08-14T22:00:41.7945547Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward 2025-08-14T22:00:41.7945943Z attn_probs = nn.functional.softmax( 2025-08-14T22:00:41.7946069Z 2025-08-14T22:00:41.7946172Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7946643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7947088Z layer_outputs = layer_module( 2025-08-14T22:00:41.7947416Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7947754Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7948136Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7948523Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7948907Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7949293Z self_outputs = self.self( 2025-08-14T22:00:41.7949657Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 511, in forward 2025-08-14T22:00:41.7950085Z value_vectors = self.value(hidden_states) 2025-08-14T22:00:41.7950225Z 2025-08-14T22:00:41.7950322Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7950795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7951235Z layer_outputs = layer_module( 2025-08-14T22:00:41.7951558Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7951896Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7952281Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7952661Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7953050Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7953449Z self_outputs = self.self( 2025-08-14T22:00:41.7953812Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:00:41.7954255Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:00:41.7954747Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 863, in _sliding_chunks_matmul_attn_probs_value 2025-08-14T22:00:41.7955289Z padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1) 2025-08-14T22:00:41.7955678Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T22:00:41.7956026Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T22:00:41.7956171Z 2025-08-14T22:00:41.7956276Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7956754Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7957199Z layer_outputs = layer_module( 2025-08-14T22:00:41.7957527Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7957875Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7958259Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7958653Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7959041Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7959427Z self_outputs = self.self( 2025-08-14T22:00:41.7959792Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:00:41.7960217Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:00:41.7960708Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 876, in _sliding_chunks_matmul_attn_probs_value 2025-08-14T22:00:41.7961212Z chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs) 2025-08-14T22:00:41.7961677Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize 2025-08-14T22:00:41.7962115Z chunked_hidden_states = nn.functional.pad( 2025-08-14T22:00:41.7962434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T22:00:41.7962759Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T22:00:41.7962900Z 2025-08-14T22:00:41.7962998Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7963488Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7963942Z layer_outputs = layer_module( 2025-08-14T22:00:41.7964264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7964601Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7964992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7965382Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7965762Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7966149Z self_outputs = self.self( 2025-08-14T22:00:41.7966519Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:00:41.7966960Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:00:41.7967452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value 2025-08-14T22:00:41.7967977Z context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value)) 2025-08-14T22:00:41.7968166Z 2025-08-14T22:00:41.7968274Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7968748Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7969204Z layer_outputs = layer_module( 2025-08-14T22:00:41.7969527Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7969866Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7970248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7970633Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7971020Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.7971402Z self_outputs = self.self( 2025-08-14T22:00:41.7971761Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:00:41.7972179Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:00:41.7972662Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value 2025-08-14T22:00:41.7973184Z context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value)) 2025-08-14T22:00:41.7973374Z 2025-08-14T22:00:41.7973470Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7973945Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7974397Z layer_outputs = layer_module( 2025-08-14T22:00:41.7974721Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7975054Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7975442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7975833Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7976237Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward 2025-08-14T22:00:41.7976663Z attn_output = self.output(self_outputs[0], hidden_states) 2025-08-14T22:00:41.7977090Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward 2025-08-14T22:00:41.7977491Z hidden_states = self.dense(hidden_states) 2025-08-14T22:00:41.7977621Z 2025-08-14T22:00:41.7977721Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7978199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7978653Z layer_outputs = layer_module( 2025-08-14T22:00:41.7978983Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7979318Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7979708Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.7980186Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.7980598Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward 2025-08-14T22:00:41.7981028Z attn_output = self.output(self_outputs[0], hidden_states) 2025-08-14T22:00:41.7981452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward 2025-08-14T22:00:41.7981856Z hidden_states = self.dense(hidden_states) 2025-08-14T22:00:41.7981989Z 2025-08-14T22:00:41.7982087Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7982572Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7983040Z layer_outputs = layer_module( 2025-08-14T22:00:41.7983371Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7983703Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7984092Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward 2025-08-14T22:00:41.7984489Z layer_output = apply_chunking_to_forward( 2025-08-14T22:00:41.7984869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-08-14T22:00:41.7985234Z return forward_fn(*input_tensors) 2025-08-14T22:00:41.7985623Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk 2025-08-14T22:00:41.7986049Z intermediate_output = self.intermediate(attn_output) 2025-08-14T22:00:41.7986465Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1160, in forward 2025-08-14T22:00:41.7986859Z hidden_states = self.dense(hidden_states) 2025-08-14T22:00:41.7986992Z 2025-08-14T22:00:41.7987090Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7987562Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7988009Z layer_outputs = layer_module( 2025-08-14T22:00:41.7988331Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7988679Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7989064Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward 2025-08-14T22:00:41.7989452Z layer_output = apply_chunking_to_forward( 2025-08-14T22:00:41.7989849Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-08-14T22:00:41.7990224Z return forward_fn(*input_tensors) 2025-08-14T22:00:41.7990607Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk 2025-08-14T22:00:41.7991033Z intermediate_output = self.intermediate(attn_output) 2025-08-14T22:00:41.7991452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1161, in forward 2025-08-14T22:00:41.7991875Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-08-14T22:00:41.7992229Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward 2025-08-14T22:00:41.7992555Z return self.act(input) 2025-08-14T22:00:41.7992669Z 2025-08-14T22:00:41.7992766Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7993247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7993712Z layer_outputs = layer_module( 2025-08-14T22:00:41.7994051Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7994396Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7994788Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward 2025-08-14T22:00:41.7995182Z layer_output = apply_chunking_to_forward( 2025-08-14T22:00:41.7995556Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-08-14T22:00:41.7995952Z return forward_fn(*input_tensors) 2025-08-14T22:00:41.7996335Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1219, in ff_chunk 2025-08-14T22:00:41.7996773Z layer_output = self.output(intermediate_output, attn_output) 2025-08-14T22:00:41.7997203Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1174, in forward 2025-08-14T22:00:41.7997597Z hidden_states = self.dense(hidden_states) 2025-08-14T22:00:41.7997728Z 2025-08-14T22:00:41.7997826Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.7998297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.7998750Z layer_outputs = layer_module( 2025-08-14T22:00:41.7999078Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.7999410Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.7999801Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.8000194Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.8000575Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.8000961Z self_outputs = self.self( 2025-08-14T22:00:41.8001332Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward 2025-08-14T22:00:41.8001728Z query_vectors = self.query(hidden_states) 2025-08-14T22:00:41.8001854Z 2025-08-14T22:00:41.8001952Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.8002434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.8002913Z layer_outputs = layer_module( 2025-08-14T22:00:41.8003241Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.8003574Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.8003963Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.8004348Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.8004729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.8005114Z self_outputs = self.self( 2025-08-14T22:00:41.8005484Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-08-14T22:00:41.8005897Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-08-14T22:00:41.8006477Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul 2025-08-14T22:00:41.8007088Z diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key)) # multiply 2025-08-14T22:00:41.8007325Z 2025-08-14T22:00:41.8007448Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.8007929Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.8008376Z layer_outputs = layer_module( 2025-08-14T22:00:41.8008705Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.8009043Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.8009460Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.8009849Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.8010239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.8010631Z self_outputs = self.self( 2025-08-14T22:00:41.8011003Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 510, in forward 2025-08-14T22:00:41.8011400Z key_vectors = self.key(hidden_states) 2025-08-14T22:00:41.8011532Z 2025-08-14T22:00:41.8011628Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.8012107Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.8012558Z layer_outputs = layer_module( 2025-08-14T22:00:41.8012883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.8013227Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.8013622Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.8014015Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.8014410Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.8014798Z self_outputs = self.self( 2025-08-14T22:00:41.8015168Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-08-14T22:00:41.8015583Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-08-14T22:00:41.8016050Z 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 2025-08-14T22:00:41.8016591Z key = self._chunk(key, window_overlap, getattr(self.config, "onnx_export", False)) 2025-08-14T22:00:41.8017047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 719, in _chunk 2025-08-14T22:00:41.8017439Z hidden_states = hidden_states.view( 2025-08-14T22:00:41.8017568Z 2025-08-14T22:00:41.8017665Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.8018137Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.8018582Z layer_outputs = layer_module( 2025-08-14T22:00:41.8018909Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.8019247Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.8019635Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.8020087Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.8020476Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.8020903Z self_outputs = self.self( 2025-08-14T22:00:41.8021264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-08-14T22:00:41.8021675Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-08-14T22:00:41.8022143Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul 2025-08-14T22:00:41.8022686Z diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key)) # multiply 2025-08-14T22:00:41.8022933Z 2025-08-14T22:00:41.8023012Z cudagraph partition due to non gpu ops 2025-08-14T22:00:41.8023222Z cudagraph partition due to non gpu ops 2025-08-14T22:00:41.8023422Z cudagraph partition due to non gpu ops 2025-08-14T22:00:41.8023619Z cudagraph partition due to non gpu ops 2025-08-14T22:00:41.8023832Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.8024314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.8024763Z layer_outputs = layer_module( 2025-08-14T22:00:41.8025080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.8025414Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.8025800Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.8026186Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.8026563Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.8026946Z self_outputs = self.self( 2025-08-14T22:00:41.8027317Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 536, in forward 2025-08-14T22:00:41.8027732Z diagonal_mask = self._sliding_chunks_query_key_matmul( 2025-08-14T22:00:41.8028198Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 834, in _sliding_chunks_query_key_matmul 2025-08-14T22:00:41.8028698Z self._mask_invalid_locations(diagonal_attention_scores, window_overlap) 2025-08-14T22:00:41.8029185Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 762, in _mask_invalid_locations 2025-08-14T22:00:41.8029672Z input_tensor[:, :affected_seq_len, :, : affected_seq_len + 1] = torch.full_like( 2025-08-14T22:00:41.8029885Z 2025-08-14T22:00:41.8029961Z cudagraph partition due to non gpu ops 2025-08-14T22:00:41.8030185Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.8030663Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.8031109Z layer_outputs = layer_module( 2025-08-14T22:00:41.8031445Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.8031788Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.8032181Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.8032568Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.8032958Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.8033365Z self_outputs = self.self( 2025-08-14T22:00:41.8033730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward 2025-08-14T22:00:41.8034131Z attn_scores += diagonal_mask 2025-08-14T22:00:41.8034254Z 2025-08-14T22:00:41.8034352Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.8034831Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.8035281Z layer_outputs = layer_module( 2025-08-14T22:00:41.8035609Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.8035963Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.8036353Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.8036734Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.8037124Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.8037511Z self_outputs = self.self( 2025-08-14T22:00:41.8037873Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward 2025-08-14T22:00:41.8038261Z attn_probs = nn.functional.softmax( 2025-08-14T22:00:41.8038391Z 2025-08-14T22:00:41.8038488Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.8038962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.8039409Z layer_outputs = layer_module( 2025-08-14T22:00:41.8039735Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.8040072Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.8040458Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.8040850Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.8041247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.8041642Z self_outputs = self.self( 2025-08-14T22:00:41.8042013Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 511, in forward 2025-08-14T22:00:41.8042420Z value_vectors = self.value(hidden_states) 2025-08-14T22:00:41.8042562Z 2025-08-14T22:00:41.8042663Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.8043163Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.8043621Z layer_outputs = layer_module( 2025-08-14T22:00:41.8043958Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.8044352Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.8044740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.8045118Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.8045501Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.8045883Z self_outputs = self.self( 2025-08-14T22:00:41.8046252Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:00:41.8046691Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:00:41.8047209Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 863, in _sliding_chunks_matmul_attn_probs_value 2025-08-14T22:00:41.8047756Z padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1) 2025-08-14T22:00:41.8048149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T22:00:41.8048483Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T22:00:41.8048633Z 2025-08-14T22:00:41.8048731Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.8049213Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.8049668Z layer_outputs = layer_module( 2025-08-14T22:00:41.8049995Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.8050337Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.8050728Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.8051114Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.8051502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.8051885Z self_outputs = self.self( 2025-08-14T22:00:41.8052248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:00:41.8052672Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:00:41.8053165Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 876, in _sliding_chunks_matmul_attn_probs_value 2025-08-14T22:00:41.8053675Z chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs) 2025-08-14T22:00:41.8054139Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize 2025-08-14T22:00:41.8054574Z chunked_hidden_states = nn.functional.pad( 2025-08-14T22:00:41.8054893Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T22:00:41.8055219Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T22:00:41.8055361Z 2025-08-14T22:00:41.8055459Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.8055936Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.8056408Z layer_outputs = layer_module( 2025-08-14T22:00:41.8056737Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.8057067Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.8057457Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.8057851Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.8058232Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.8058615Z self_outputs = self.self( 2025-08-14T22:00:41.8058986Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:00:41.8059412Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:00:41.8059959Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value 2025-08-14T22:00:41.8060515Z context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value)) 2025-08-14T22:00:41.8060713Z 2025-08-14T22:00:41.8060827Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.8061316Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.8061769Z layer_outputs = layer_module( 2025-08-14T22:00:41.8062097Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.8062438Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.8062853Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.8063238Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.8063631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.8064014Z self_outputs = self.self( 2025-08-14T22:00:41.8064374Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:00:41.8064796Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:00:41.8065287Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value 2025-08-14T22:00:41.8065809Z context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value)) 2025-08-14T22:00:41.8066001Z 2025-08-14T22:00:41.8066098Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.8066576Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.8067031Z layer_outputs = layer_module( 2025-08-14T22:00:41.8067361Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.8067694Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.8068087Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.8068481Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.8068873Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward 2025-08-14T22:00:41.8069290Z attn_output = self.output(self_outputs[0], hidden_states) 2025-08-14T22:00:41.8069729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward 2025-08-14T22:00:41.8070128Z hidden_states = self.dense(hidden_states) 2025-08-14T22:00:41.8070256Z 2025-08-14T22:00:41.8070360Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.8070836Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.8071287Z layer_outputs = layer_module( 2025-08-14T22:00:41.8071613Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.8071945Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.8072335Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.8072723Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.8073112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward 2025-08-14T22:00:41.8073551Z attn_output = self.output(self_outputs[0], hidden_states) 2025-08-14T22:00:41.8074003Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward 2025-08-14T22:00:41.8074407Z hidden_states = self.dense(hidden_states) 2025-08-14T22:00:41.8074537Z 2025-08-14T22:00:41.8074638Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.8075110Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.8075564Z layer_outputs = layer_module( 2025-08-14T22:00:41.8075891Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.8076246Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.8076633Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward 2025-08-14T22:00:41.8077035Z layer_output = apply_chunking_to_forward( 2025-08-14T22:00:41.8077417Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-08-14T22:00:41.8077782Z return forward_fn(*input_tensors) 2025-08-14T22:00:41.8078169Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk 2025-08-14T22:00:41.8078592Z intermediate_output = self.intermediate(attn_output) 2025-08-14T22:00:41.8079007Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1160, in forward 2025-08-14T22:00:41.8079396Z hidden_states = self.dense(hidden_states) 2025-08-14T22:00:41.8079530Z 2025-08-14T22:00:41.8079627Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.8080101Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.8080551Z layer_outputs = layer_module( 2025-08-14T22:00:41.8080869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.8081203Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.8081591Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward 2025-08-14T22:00:41.8081978Z layer_output = apply_chunking_to_forward( 2025-08-14T22:00:41.8082351Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-08-14T22:00:41.8082722Z return forward_fn(*input_tensors) 2025-08-14T22:00:41.8083127Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk 2025-08-14T22:00:41.8083547Z intermediate_output = self.intermediate(attn_output) 2025-08-14T22:00:41.8083962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1161, in forward 2025-08-14T22:00:41.8084384Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-08-14T22:00:41.8084745Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward 2025-08-14T22:00:41.8085059Z return self.act(input) 2025-08-14T22:00:41.8085172Z 2025-08-14T22:00:41.8085271Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.8085746Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.8086194Z layer_outputs = layer_module( 2025-08-14T22:00:41.8086521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.8086881Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.8087285Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward 2025-08-14T22:00:41.8087681Z layer_output = apply_chunking_to_forward( 2025-08-14T22:00:41.8088067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-08-14T22:00:41.8088441Z return forward_fn(*input_tensors) 2025-08-14T22:00:41.8088828Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1219, in ff_chunk 2025-08-14T22:00:41.8089273Z layer_output = self.output(intermediate_output, attn_output) 2025-08-14T22:00:41.8089713Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1174, in forward 2025-08-14T22:00:41.8090112Z hidden_states = self.dense(hidden_states) 2025-08-14T22:00:41.8090241Z 2025-08-14T22:00:41.8090338Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.8090816Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.8091272Z layer_outputs = layer_module( 2025-08-14T22:00:41.8091600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.8091929Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.8092324Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.8092719Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.8093112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.8093499Z self_outputs = self.self( 2025-08-14T22:00:41.8093876Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward 2025-08-14T22:00:41.8094275Z query_vectors = self.query(hidden_states) 2025-08-14T22:00:41.8094403Z 2025-08-14T22:00:41.8094500Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.8094976Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.8095425Z layer_outputs = layer_module( 2025-08-14T22:00:41.8095751Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.8096079Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.8096501Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.8096900Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.8097287Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.8097670Z self_outputs = self.self( 2025-08-14T22:00:41.8098045Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-08-14T22:00:41.8098457Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-08-14T22:00:41.8098929Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul 2025-08-14T22:00:41.8099471Z diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key)) # multiply 2025-08-14T22:00:41.8099706Z 2025-08-14T22:00:41.8099896Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.8100412Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.8100871Z layer_outputs = layer_module( 2025-08-14T22:00:41.8101191Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.8101533Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.8101922Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.8102305Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.8102723Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.8103111Z self_outputs = self.self( 2025-08-14T22:00:41.8103481Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 510, in forward 2025-08-14T22:00:41.8103863Z key_vectors = self.key(hidden_states) 2025-08-14T22:00:41.8103995Z 2025-08-14T22:00:41.8104092Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.8104565Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.8105012Z layer_outputs = layer_module( 2025-08-14T22:00:41.8105332Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.8105671Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.8106061Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.8106590Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.8106984Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.8107377Z self_outputs = self.self( 2025-08-14T22:00:41.8107751Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-08-14T22:00:41.8108159Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-08-14T22:00:41.8108632Z 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 2025-08-14T22:00:41.8109146Z key = self._chunk(key, window_overlap, getattr(self.config, "onnx_export", False)) 2025-08-14T22:00:41.8109610Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 719, in _chunk 2025-08-14T22:00:41.8110032Z hidden_states = hidden_states.view( 2025-08-14T22:00:41.8110167Z 2025-08-14T22:00:41.8110266Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.8110746Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.8111196Z layer_outputs = layer_module( 2025-08-14T22:00:41.8111513Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.8111849Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.8112241Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.8112629Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.8113016Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.8113430Z self_outputs = self.self( 2025-08-14T22:00:41.8113797Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-08-14T22:00:41.8114218Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-08-14T22:00:41.8114541Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul 2025-08-14T22:00:41.8114715Z diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key)) # multiply 2025-08-14T22:00:41.8114718Z 2025-08-14T22:00:41.8114803Z cudagraph partition due to non gpu ops 2025-08-14T22:00:41.8114879Z cudagraph partition due to non gpu ops 2025-08-14T22:00:41.8114974Z cudagraph partition due to non gpu ops 2025-08-14T22:00:41.8115053Z cudagraph partition due to non gpu ops 2025-08-14T22:00:41.8115152Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.8115488Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.8115564Z layer_outputs = layer_module( 2025-08-14T22:00:41.8115775Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.8115855Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.8116113Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.8116185Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.8116447Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.8116515Z self_outputs = self.self( 2025-08-14T22:00:41.8116772Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 536, in forward 2025-08-14T22:00:41.8116883Z diagonal_mask = self._sliding_chunks_query_key_matmul( 2025-08-14T22:00:41.8117196Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 834, in _sliding_chunks_query_key_matmul 2025-08-14T22:00:41.8117338Z self._mask_invalid_locations(diagonal_attention_scores, window_overlap) 2025-08-14T22:00:41.8117638Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 762, in _mask_invalid_locations 2025-08-14T22:00:41.8117775Z input_tensor[:, :affected_seq_len, :, : affected_seq_len + 1] = torch.full_like( 2025-08-14T22:00:41.8117778Z 2025-08-14T22:00:41.8117861Z cudagraph partition due to non gpu ops 2025-08-14T22:00:41.8117958Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.8118309Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.8118381Z layer_outputs = layer_module( 2025-08-14T22:00:41.8118588Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.8118671Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.8118935Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.8119012Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.8119273Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.8119342Z self_outputs = self.self( 2025-08-14T22:00:41.8119612Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward 2025-08-14T22:00:41.8119684Z attn_scores += diagonal_mask 2025-08-14T22:00:41.8119705Z 2025-08-14T22:00:41.8119802Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.8120148Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.8120219Z layer_outputs = layer_module( 2025-08-14T22:00:41.8120430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.8120505Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.8120762Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.8120857Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.8121117Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.8121193Z self_outputs = self.self( 2025-08-14T22:00:41.8121451Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward 2025-08-14T22:00:41.8121530Z attn_probs = nn.functional.softmax( 2025-08-14T22:00:41.8121533Z 2025-08-14T22:00:41.8121638Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.8121965Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.8122032Z layer_outputs = layer_module( 2025-08-14T22:00:41.8122246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.8122321Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.8122595Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.8122668Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.8122929Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.8123004Z self_outputs = self.self( 2025-08-14T22:00:41.8123266Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 511, in forward 2025-08-14T22:00:41.8123353Z value_vectors = self.value(hidden_states) 2025-08-14T22:00:41.8123356Z 2025-08-14T22:00:41.8123454Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.8123781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.8123859Z layer_outputs = layer_module( 2025-08-14T22:00:41.8124081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.8124163Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.8124424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.8124496Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.8124759Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.8124826Z self_outputs = self.self( 2025-08-14T22:00:41.8125083Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:00:41.8125203Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:00:41.8125538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 863, in _sliding_chunks_matmul_attn_probs_value 2025-08-14T22:00:41.8125723Z padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1) 2025-08-14T22:00:41.8125919Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T22:00:41.8126015Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T22:00:41.8126019Z 2025-08-14T22:00:41.8126123Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.8126448Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.8126522Z layer_outputs = layer_module( 2025-08-14T22:00:41.8126728Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.8126819Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.8127085Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.8127158Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.8127424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.8127490Z self_outputs = self.self( 2025-08-14T22:00:41.8127748Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:00:41.8127869Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:00:41.8128195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 876, in _sliding_chunks_matmul_attn_probs_value 2025-08-14T22:00:41.8128324Z chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs) 2025-08-14T22:00:41.8128626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize 2025-08-14T22:00:41.8128714Z chunked_hidden_states = nn.functional.pad( 2025-08-14T22:00:41.8128900Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T22:00:41.8128993Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T22:00:41.8128996Z 2025-08-14T22:00:41.8129092Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.8129423Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.8129490Z layer_outputs = layer_module( 2025-08-14T22:00:41.8129703Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.8129778Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.8130062Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.8130141Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.8130401Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.8130467Z self_outputs = self.self( 2025-08-14T22:00:41.8130730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:00:41.8130839Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:00:41.8131170Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value 2025-08-14T22:00:41.8131315Z context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value)) 2025-08-14T22:00:41.8131319Z 2025-08-14T22:00:41.8131414Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.8131766Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.8131845Z layer_outputs = layer_module( 2025-08-14T22:00:41.8132059Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.8132132Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.8132391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.8132468Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.8132740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.8132813Z self_outputs = self.self( 2025-08-14T22:00:41.8133071Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:00:41.8133180Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:00:41.8133512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value 2025-08-14T22:00:41.8133651Z context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value)) 2025-08-14T22:00:41.8133654Z 2025-08-14T22:00:41.8133757Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.8134080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.8134149Z layer_outputs = layer_module( 2025-08-14T22:00:41.8134359Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.8134435Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.8134693Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.8134771Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.8135029Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward 2025-08-14T22:00:41.8135140Z attn_output = self.output(self_outputs[0], hidden_states) 2025-08-14T22:00:41.8135396Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward 2025-08-14T22:00:41.8135478Z hidden_states = self.dense(hidden_states) 2025-08-14T22:00:41.8135481Z 2025-08-14T22:00:41.8135582Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.8135921Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.8135999Z layer_outputs = layer_module( 2025-08-14T22:00:41.8136205Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.8136277Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.8136543Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.8136612Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.8136881Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward 2025-08-14T22:00:41.8136985Z attn_output = self.output(self_outputs[0], hidden_states) 2025-08-14T22:00:41.8137247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward 2025-08-14T22:00:41.8137350Z hidden_states = self.dense(hidden_states) 2025-08-14T22:00:41.8137355Z 2025-08-14T22:00:41.8137450Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.8137795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.8137865Z layer_outputs = layer_module( 2025-08-14T22:00:41.8138069Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.8138150Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.8138411Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward 2025-08-14T22:00:41.8138507Z layer_output = apply_chunking_to_forward( 2025-08-14T22:00:41.8138756Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-08-14T22:00:41.8138830Z return forward_fn(*input_tensors) 2025-08-14T22:00:41.8139102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk 2025-08-14T22:00:41.8139208Z intermediate_output = self.intermediate(attn_output) 2025-08-14T22:00:41.8139465Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1160, in forward 2025-08-14T22:00:41.8139550Z hidden_states = self.dense(hidden_states) 2025-08-14T22:00:41.8139553Z 2025-08-14T22:00:41.8139647Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.8140031Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.8140109Z layer_outputs = layer_module( 2025-08-14T22:00:41.8140315Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.8140398Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.8140659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward 2025-08-14T22:00:41.8140740Z layer_output = apply_chunking_to_forward( 2025-08-14T22:00:41.8140991Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-08-14T22:00:41.8141066Z return forward_fn(*input_tensors) 2025-08-14T22:00:41.8141339Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk 2025-08-14T22:00:41.8141444Z intermediate_output = self.intermediate(attn_output) 2025-08-14T22:00:41.8141720Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1161, in forward 2025-08-14T22:00:41.8141840Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-08-14T22:00:41.8142041Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward 2025-08-14T22:00:41.8142120Z return self.act(input) 2025-08-14T22:00:41.8142124Z 2025-08-14T22:00:41.8142219Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.8142542Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.8142618Z layer_outputs = layer_module( 2025-08-14T22:00:41.8142822Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.8142904Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.8143165Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward 2025-08-14T22:00:41.8143258Z layer_output = apply_chunking_to_forward( 2025-08-14T22:00:41.8143523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-08-14T22:00:41.8143597Z return forward_fn(*input_tensors) 2025-08-14T22:00:41.8143856Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1219, in ff_chunk 2025-08-14T22:00:41.8143979Z layer_output = self.output(intermediate_output, attn_output) 2025-08-14T22:00:41.8144237Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1174, in forward 2025-08-14T22:00:41.8144337Z hidden_states = self.dense(hidden_states) 2025-08-14T22:00:41.8144340Z 2025-08-14T22:00:41.8144438Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.8144763Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.8144840Z layer_outputs = layer_module( 2025-08-14T22:00:41.8145047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.8145127Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.8145389Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.8145460Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.8145729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.8145797Z self_outputs = self.self( 2025-08-14T22:00:41.8146062Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward 2025-08-14T22:00:41.8146148Z query_vectors = self.query(hidden_states) 2025-08-14T22:00:41.8146151Z 2025-08-14T22:00:41.8146246Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.8146577Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.8146645Z layer_outputs = layer_module( 2025-08-14T22:00:41.8146852Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.8146933Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.8147190Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.8147269Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.8147546Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.8147616Z self_outputs = self.self( 2025-08-14T22:00:41.8147882Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-08-14T22:00:41.8147977Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-08-14T22:00:41.8148297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul 2025-08-14T22:00:41.8148471Z diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key)) # multiply 2025-08-14T22:00:41.8148475Z 2025-08-14T22:00:41.8148571Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.8148902Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.8148985Z layer_outputs = layer_module( 2025-08-14T22:00:41.8149195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.8149282Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.8149542Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.8149619Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.8149878Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.8149946Z self_outputs = self.self( 2025-08-14T22:00:41.8150234Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 510, in forward 2025-08-14T22:00:41.8150310Z key_vectors = self.key(hidden_states) 2025-08-14T22:00:41.8150314Z 2025-08-14T22:00:41.8150419Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.8150744Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.8150811Z layer_outputs = layer_module( 2025-08-14T22:00:41.8151022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.8151095Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.8151361Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.8151432Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.8151691Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.8151764Z self_outputs = self.self( 2025-08-14T22:00:41.8152019Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-08-14T22:00:41.8152115Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-08-14T22:00:41.8152435Z 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 2025-08-14T22:00:41.8152579Z key = self._chunk(key, window_overlap, getattr(self.config, "onnx_export", False)) 2025-08-14T22:00:41.8152846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 719, in _chunk 2025-08-14T22:00:41.8152917Z hidden_states = hidden_states.view( 2025-08-14T22:00:41.8152921Z 2025-08-14T22:00:41.8153015Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.8153363Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.8153434Z layer_outputs = layer_module( 2025-08-14T22:00:41.8153646Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.8153721Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.8153982Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.8154061Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.8154320Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.8154395Z self_outputs = self.self( 2025-08-14T22:00:41.8154651Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-08-14T22:00:41.8154747Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-08-14T22:00:41.8155084Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul 2025-08-14T22:00:41.8155269Z diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key)) # multiply 2025-08-14T22:00:41.8155272Z 2025-08-14T22:00:41.8155358Z cudagraph partition due to non gpu ops 2025-08-14T22:00:41.8155435Z cudagraph partition due to non gpu ops 2025-08-14T22:00:41.8155509Z cudagraph partition due to non gpu ops 2025-08-14T22:00:41.8155589Z cudagraph partition due to non gpu ops 2025-08-14T22:00:41.8155685Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.8156008Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.8156113Z layer_outputs = layer_module( 2025-08-14T22:00:41.8156321Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.8156401Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.8156659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.8156730Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.8156992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.8157057Z self_outputs = self.self( 2025-08-14T22:00:41.8157314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 536, in forward 2025-08-14T22:00:41.8157425Z diagonal_mask = self._sliding_chunks_query_key_matmul( 2025-08-14T22:00:41.8157739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 834, in _sliding_chunks_query_key_matmul 2025-08-14T22:00:41.8157881Z self._mask_invalid_locations(diagonal_attention_scores, window_overlap) 2025-08-14T22:00:41.8158182Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 762, in _mask_invalid_locations 2025-08-14T22:00:41.8158320Z input_tensor[:, :affected_seq_len, :, : affected_seq_len + 1] = torch.full_like( 2025-08-14T22:00:41.8158324Z 2025-08-14T22:00:41.8158407Z cudagraph partition due to non gpu ops 2025-08-14T22:00:41.8158503Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.8158831Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.8158903Z layer_outputs = layer_module( 2025-08-14T22:00:41.8159126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.8159211Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.8159470Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.8159541Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.8159805Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.8159872Z self_outputs = self.self( 2025-08-14T22:00:41.8160137Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward 2025-08-14T22:00:41.8160207Z attn_scores += diagonal_mask 2025-08-14T22:00:41.8160212Z 2025-08-14T22:00:41.8160308Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.8160638Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.8160724Z layer_outputs = layer_module( 2025-08-14T22:00:41.8160953Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.8161028Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.8161286Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.8161364Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.8161619Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.8161711Z self_outputs = self.self( 2025-08-14T22:00:41.8161975Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward 2025-08-14T22:00:41.8162052Z attn_probs = nn.functional.softmax( 2025-08-14T22:00:41.8162056Z 2025-08-14T22:00:41.8162160Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.8162493Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.8162560Z layer_outputs = layer_module( 2025-08-14T22:00:41.8162776Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.8162850Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.8163120Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.8163193Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.8163459Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.8163534Z self_outputs = self.self( 2025-08-14T22:00:41.8163795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 511, in forward 2025-08-14T22:00:41.8163881Z value_vectors = self.value(hidden_states) 2025-08-14T22:00:41.8163885Z 2025-08-14T22:00:41.8163979Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.8164308Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.8164380Z layer_outputs = layer_module( 2025-08-14T22:00:41.8164589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.8164663Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.8164947Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.8165018Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.8165284Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.8165351Z self_outputs = self.self( 2025-08-14T22:00:41.8165607Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:00:41.8165725Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:00:41.8166047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 863, in _sliding_chunks_matmul_attn_probs_value 2025-08-14T22:00:41.8166216Z padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1) 2025-08-14T22:00:41.8166395Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T22:00:41.8166525Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T22:00:41.8166529Z 2025-08-14T22:00:41.8166632Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.8166968Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.8167045Z layer_outputs = layer_module( 2025-08-14T22:00:41.8167248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.8167322Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.8167592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.8167678Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.8167943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.8168018Z self_outputs = self.self( 2025-08-14T22:00:41.8168279Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:00:41.8168394Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:00:41.8168725Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 876, in _sliding_chunks_matmul_attn_probs_value 2025-08-14T22:00:41.8168852Z chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs) 2025-08-14T22:00:41.8169156Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize 2025-08-14T22:00:41.8169244Z chunked_hidden_states = nn.functional.pad( 2025-08-14T22:00:41.8169431Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T22:00:41.8169526Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T22:00:41.8169529Z 2025-08-14T22:00:41.8169625Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.8169957Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.8170024Z layer_outputs = layer_module( 2025-08-14T22:00:41.8170234Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.8170309Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.8170568Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.8170648Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.8170926Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.8170994Z self_outputs = self.self( 2025-08-14T22:00:41.8171263Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:00:41.8171373Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:00:41.8171707Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value 2025-08-14T22:00:41.8171852Z context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value)) 2025-08-14T22:00:41.8171855Z 2025-08-14T22:00:41.8171951Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.8172289Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.8172371Z layer_outputs = layer_module( 2025-08-14T22:00:41.8172585Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.8172682Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.8172943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.8173021Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.8173280Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:00:41.8173352Z self_outputs = self.self( 2025-08-14T22:00:41.8173609Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:00:41.8173734Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:00:41.8174066Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value 2025-08-14T22:00:41.8174209Z context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value)) 2025-08-14T22:00:41.8174213Z 2025-08-14T22:00:41.8174316Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.8174641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.8174708Z layer_outputs = layer_module( 2025-08-14T22:00:41.8174923Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.8174996Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.8175262Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.8175342Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.8175603Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward 2025-08-14T22:00:41.8175716Z attn_output = self.output(self_outputs[0], hidden_states) 2025-08-14T22:00:41.8175978Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward 2025-08-14T22:00:41.8176057Z hidden_states = self.dense(hidden_states) 2025-08-14T22:00:41.8176060Z 2025-08-14T22:00:41.8176162Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.8176490Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.8176565Z layer_outputs = layer_module( 2025-08-14T22:00:41.8176790Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.8176866Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.8177131Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:00:41.8177200Z self_attn_outputs = self.attention( 2025-08-14T22:00:41.8177466Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward 2025-08-14T22:00:41.8177569Z attn_output = self.output(self_outputs[0], hidden_states) 2025-08-14T22:00:41.8177827Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward 2025-08-14T22:00:41.8177914Z hidden_states = self.dense(hidden_states) 2025-08-14T22:00:41.8177918Z 2025-08-14T22:00:41.8178014Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.8178349Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.8178438Z layer_outputs = layer_module( 2025-08-14T22:00:41.8178657Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.8178736Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.8178995Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward 2025-08-14T22:00:41.8179074Z layer_output = apply_chunking_to_forward( 2025-08-14T22:00:41.8179320Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-08-14T22:00:41.8179409Z return forward_fn(*input_tensors) 2025-08-14T22:00:41.8179677Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk 2025-08-14T22:00:41.8179780Z intermediate_output = self.intermediate(attn_output) 2025-08-14T22:00:41.8180106Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1160, in forward 2025-08-14T22:00:41.8180198Z hidden_states = self.dense(hidden_states) 2025-08-14T22:00:41.8180201Z 2025-08-14T22:00:41.8180297Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.8180627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.8180695Z layer_outputs = layer_module( 2025-08-14T22:00:41.8180901Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.8180983Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.8181242Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward 2025-08-14T22:00:41.8181322Z layer_output = apply_chunking_to_forward( 2025-08-14T22:00:41.8181573Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-08-14T22:00:41.8181646Z return forward_fn(*input_tensors) 2025-08-14T22:00:41.8181914Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk 2025-08-14T22:00:41.8182018Z intermediate_output = self.intermediate(attn_output) 2025-08-14T22:00:41.8182277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1161, in forward 2025-08-14T22:00:41.8182395Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-08-14T22:00:41.8182617Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward 2025-08-14T22:00:41.8182698Z return self.act(input) 2025-08-14T22:00:41.8182701Z 2025-08-14T22:00:41.8182798Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:41.8183130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:00:41.8183204Z layer_outputs = layer_module( 2025-08-14T22:00:41.8183412Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:00:41.8183488Z return super().__call__(*args, **kwargs) 2025-08-14T22:00:41.8183759Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward 2025-08-14T22:00:41.8183839Z layer_output = apply_chunking_to_forward( 2025-08-14T22:00:41.8184093Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-08-14T22:00:41.8184183Z return forward_fn(*input_tensors) 2025-08-14T22:00:41.8184461Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1219, in ff_chunk 2025-08-14T22:00:41.8184584Z layer_output = self.output(intermediate_output, attn_output) 2025-08-14T22:00:41.8184843Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1174, in forward 2025-08-14T22:00:41.8184927Z hidden_states = self.dense(hidden_states) 2025-08-14T22:00:41.8184930Z 2025-08-14T22:01:37.0088988Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:01:37.0089778Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1716, in torch_dynamo_resume_in_forward_at_1703 2025-08-14T22:01:37.0096438Z prediction_scores = self.lm_head(sequence_output) 2025-08-14T22:01:37.0097110Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1333, in forward 2025-08-14T22:01:37.0101595Z x = self.dense(features) 2025-08-14T22:01:37.0101764Z 2025-08-14T22:01:37.0102354Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:01:37.0102920Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1716, in torch_dynamo_resume_in_forward_at_1703 2025-08-14T22:01:37.0103412Z prediction_scores = self.lm_head(sequence_output) 2025-08-14T22:01:37.0103848Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1338, in forward 2025-08-14T22:01:37.0104245Z x = self.decoder(x) 2025-08-14T22:01:37.0104348Z 2025-08-14T22:01:38.6618645Z Compilation time (from dynamo_timed): 83.187277705 2025-08-14T22:01:38.6983519Z pass 2025-08-14T22:01:38.6987993Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T22:01:38.6992172Z TIMING: gc:0.00968 entire_frame_compile:83.18728 _recursive_pre_grad_passes:0.01847 _recursive_joint_graph_passes:0.82635 _recursive_post_grad_passes:1.56802 async_compile.wait:2.98752 code_gen:63.78613 inductor_compile:69.99519 backend_compile:78.5582 total_wall_time:83.18728 2025-08-14T22:01:38.6994258Z STATS: call_* op count: 1783 | FakeTensorMode.__torch_dispatch__:56498 | FakeTensor.__torch_dispatch__:16846 | ProxyTorchDispatchMode.__torch_dispatch__:17764 2025-08-14T22:01:38.6998805Z Dynamo produced 4 graphs covering 1783 ops with 4 graph breaks (1 unique) 2025-08-14T22:01:43.9346814Z 2025-08-14T22:01:45.1576123Z 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)`. 2025-08-14T22:01:45.1578285Z 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)`. 2025-08-14T22:01:45.4719427Z 2025-08-14T22:01:45.4720439Z loading model: 0it [00:01, ?it/s] 2025-08-14T22:01:45.4723496Z cpu eval hf_Reformer 2025-08-14T22:01:47.1186434Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T22:01:47.6524836Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T22:01:48.2219134Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T22:01:50.0272990Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:01:50.0273877Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 2095, in forward 2025-08-14T22:01:50.0275079Z least_common_mult_chunk_length = _get_least_common_mult_chunk_len(self.config) 2025-08-14T22:01:50.0275983Z 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 2025-08-14T22:01:50.0276558Z return np.lcm(config.lsh_attn_chunk_length, config.local_attn_chunk_length) 2025-08-14T22:01:50.0276781Z 2025-08-14T22:01:50.0276897Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:01:50.0277400Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 2099, in forward 2025-08-14T22:01:50.0278113Z input_shape[-1] % least_common_mult_chunk_length != 0 2025-08-14T22:01:50.0278283Z 2025-08-14T22:01:55.7050671Z W0814 22:01:55.703211 24010 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0] Graph break from `Tensor.item()`, consider setting: 2025-08-14T22:01:55.7055599Z W0814 22:01:55.703211 24010 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0] torch._dynamo.config.capture_scalar_outputs = True 2025-08-14T22:01:55.7056347Z W0814 22:01:55.703211 24010 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0] or: 2025-08-14T22:01:55.7056898Z W0814 22:01:55.703211 24010 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0] env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1 2025-08-14T22:01:55.7057512Z W0814 22:01:55.703211 24010 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0] to include these operations in the captured graph. 2025-08-14T22:01:55.7057957Z W0814 22:01:55.703211 24010 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0] 2025-08-14T22:01:55.7058389Z W0814 22:01:55.703211 24010 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0] Graph break: from user code at: 2025-08-14T22:01:55.7059218Z W0814 22:01:55.703211 24010 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 2025-08-14T22:01:55.7060148Z W0814 22:01:55.703211 24010 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0] embedding_output = self.embeddings( 2025-08-14T22:01:55.7060849Z W0814 22:01:55.703211 24010 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 2025-08-14T22:01:55.7061606Z W0814 22:01:55.703211 24010 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0] position_embeddings = self.position_embeddings(position_ids) 2025-08-14T22:01:55.7063267Z W0814 22:01:55.703211 24010 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 2025-08-14T22:01:55.7063981Z W0814 22:01:55.703211 24010 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0] max_position_id = position_ids.max().item() 2025-08-14T22:01:55.7064436Z W0814 22:01:55.703211 24010 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0] 2025-08-14T22:01:55.7064793Z W0814 22:01:55.703211 24010 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0] 2025-08-14T22:01:55.8661884Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:01:55.8665404Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 351, in forward 2025-08-14T22:01:55.8665885Z position_ids = torch.arange( 2025-08-14T22:01:55.8666033Z 2025-08-14T22:01:55.8666165Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:01:55.8666721Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 357, in forward 2025-08-14T22:01:55.8667235Z inputs_embeds = self.word_embeddings(input_ids) 2025-08-14T22:01:55.8667733Z 2025-08-14T22:01:56.9207479Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:01:56.9212322Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 293, in forward 2025-08-14T22:01:56.9213452Z max_position_id = position_ids.max().item() 2025-08-14T22:01:56.9213657Z 2025-08-14T22:01:57.6606568Z cudagraph partition due to non gpu ops 2025-08-14T22:01:57.6607108Z cudagraph partition due to non gpu ops 2025-08-14T22:01:57.6611544Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:01:57.6614011Z 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 2025-08-14T22:01:57.6614887Z position_encodings = torch.cat( 2025-08-14T22:01:57.6617081Z 2025-08-14T22:01:57.6617488Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:01:57.6618238Z 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 2025-08-14T22:01:57.6622662Z position_encodings = torch.cat( 2025-08-14T22:01:57.6626140Z 2025-08-14T22:01:58.4425902Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:01:58.4430435Z 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 2025-08-14T22:01:58.4434649Z embeddings = embeddings + position_embeddings 2025-08-14T22:01:58.4438641Z 2025-08-14T22:02:03.4545510Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.4547407Z 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 2025-08-14T22:02:03.4550642Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.4551245Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.4553866Z layer_outputs = layer( 2025-08-14T22:02:03.4554494Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.4554975Z attn_outputs = self.attention( 2025-08-14T22:02:03.4559635Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.4562371Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.4568645Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward 2025-08-14T22:02:03.4570724Z buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask) 2025-08-14T22:02:03.4571676Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 749, in _hash_vectors 2025-08-14T22:02:03.4574517Z random_rotations = torch.randn(rotations_shape, device=vectors.device, dtype=vectors.dtype) 2025-08-14T22:02:03.4579603Z 2025-08-14T22:02:03.4583825Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.4588636Z 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 2025-08-14T22:02:03.4589325Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.4589843Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.4594695Z layer_outputs = layer( 2025-08-14T22:02:03.4600268Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.4604156Z attn_outputs = self.attention( 2025-08-14T22:02:03.4606421Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.4607012Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.4612267Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 587, in forward 2025-08-14T22:02:03.4613826Z sorted_bucket_idx, undo_sorted_bucket_idx = self._get_sorted_bucket_idx_and_undo_sorted_bucket_idx( 2025-08-14T22:02:03.4614462Z 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 2025-08-14T22:02:03.4615062Z undo_sorted_bucket_idx.scatter_(-1, sorted_bucket_idx, indices) 2025-08-14T22:02:03.4615241Z 2025-08-14T22:02:03.4615360Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.4615860Z 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 2025-08-14T22:02:03.4616351Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.4616772Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.4617161Z layer_outputs = layer( 2025-08-14T22:02:03.4617543Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.4617946Z attn_outputs = self.attention( 2025-08-14T22:02:03.4618347Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.4618760Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.4619184Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 587, in forward 2025-08-14T22:02:03.4619686Z sorted_bucket_idx, undo_sorted_bucket_idx = self._get_sorted_bucket_idx_and_undo_sorted_bucket_idx( 2025-08-14T22:02:03.4620509Z 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 2025-08-14T22:02:03.4621039Z torch.arange(sorted_bucket_idx.shape[-1], device=buckets.device) 2025-08-14T22:02:03.4621229Z 2025-08-14T22:02:03.4621337Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.4621828Z 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 2025-08-14T22:02:03.4622308Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.4622772Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.4623165Z layer_outputs = layer( 2025-08-14T22:02:03.4623537Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.4623935Z attn_outputs = self.attention( 2025-08-14T22:02:03.4624316Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.4624727Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.4625139Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward 2025-08-14T22:02:03.4625592Z buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask) 2025-08-14T22:02:03.4626076Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 749, in _hash_vectors 2025-08-14T22:02:03.4626591Z random_rotations = torch.randn(rotations_shape, device=vectors.device, dtype=vectors.dtype) 2025-08-14T22:02:03.4626864Z 2025-08-14T22:02:03.4626980Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.4627477Z 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 2025-08-14T22:02:03.4627949Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.4628358Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.4628750Z layer_outputs = layer( 2025-08-14T22:02:03.4629114Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.4629530Z attn_outputs = self.attention( 2025-08-14T22:02:03.4629918Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.4630317Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.4630709Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 587, in forward 2025-08-14T22:02:03.4631196Z sorted_bucket_idx, undo_sorted_bucket_idx = self._get_sorted_bucket_idx_and_undo_sorted_bucket_idx( 2025-08-14T22:02:03.4631760Z 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 2025-08-14T22:02:03.4632267Z undo_sorted_bucket_idx.scatter_(-1, sorted_bucket_idx, indices) 2025-08-14T22:02:03.4632435Z 2025-08-14T22:02:03.4632534Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.4633007Z 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 2025-08-14T22:02:03.4633464Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.4633873Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.4634257Z layer_outputs = layer( 2025-08-14T22:02:03.4634628Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.4635008Z attn_outputs = self.attention( 2025-08-14T22:02:03.4635374Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.4635772Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.4636164Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 587, in forward 2025-08-14T22:02:03.4636666Z sorted_bucket_idx, undo_sorted_bucket_idx = self._get_sorted_bucket_idx_and_undo_sorted_bucket_idx( 2025-08-14T22:02:03.4637243Z 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 2025-08-14T22:02:03.4637756Z torch.arange(sorted_bucket_idx.shape[-1], device=buckets.device) 2025-08-14T22:02:03.4637931Z 2025-08-14T22:02:03.4638029Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.4638493Z 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 2025-08-14T22:02:03.4638944Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.4639334Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.4639707Z layer_outputs = layer( 2025-08-14T22:02:03.4640063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.4640451Z attn_outputs = self.attention( 2025-08-14T22:02:03.4640837Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.4641233Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.4641618Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward 2025-08-14T22:02:03.4642061Z buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask) 2025-08-14T22:02:03.4642518Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 749, in _hash_vectors 2025-08-14T22:02:03.4643041Z random_rotations = torch.randn(rotations_shape, device=vectors.device, dtype=vectors.dtype) 2025-08-14T22:02:03.4643279Z 2025-08-14T22:02:03.4643382Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.4643860Z 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 2025-08-14T22:02:03.4644325Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.4644729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.4645105Z layer_outputs = layer( 2025-08-14T22:02:03.4645508Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.4645897Z attn_outputs = self.attention( 2025-08-14T22:02:03.4646284Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.4646679Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.4647082Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 587, in forward 2025-08-14T22:02:03.4647577Z sorted_bucket_idx, undo_sorted_bucket_idx = self._get_sorted_bucket_idx_and_undo_sorted_bucket_idx( 2025-08-14T22:02:03.4648143Z 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 2025-08-14T22:02:03.4648654Z undo_sorted_bucket_idx.scatter_(-1, sorted_bucket_idx, indices) 2025-08-14T22:02:03.4648831Z 2025-08-14T22:02:03.4648934Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.4649413Z 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 2025-08-14T22:02:03.4649882Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.4650297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.4650668Z layer_outputs = layer( 2025-08-14T22:02:03.4651025Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.4651401Z attn_outputs = self.attention( 2025-08-14T22:02:03.4651773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.4652166Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.4652557Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 587, in forward 2025-08-14T22:02:03.4653029Z sorted_bucket_idx, undo_sorted_bucket_idx = self._get_sorted_bucket_idx_and_undo_sorted_bucket_idx( 2025-08-14T22:02:03.4653597Z 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 2025-08-14T22:02:03.4654128Z torch.arange(sorted_bucket_idx.shape[-1], device=buckets.device) 2025-08-14T22:02:03.4654302Z 2025-08-14T22:02:03.4654407Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.4654888Z 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 2025-08-14T22:02:03.4655351Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.4655755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.4656169Z layer_outputs = layer( 2025-08-14T22:02:03.4656529Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.4656950Z attn_outputs = self.attention( 2025-08-14T22:02:03.4657325Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.4657724Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.4658110Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1198, in forward 2025-08-14T22:02:03.4658501Z query_vectors = self.query(hidden_states) 2025-08-14T22:02:03.4658634Z 2025-08-14T22:02:03.4658742Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.4659211Z 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 2025-08-14T22:02:03.4659662Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.4660143Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.4660530Z layer_outputs = layer( 2025-08-14T22:02:03.4660892Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.4661278Z attn_outputs = self.attention( 2025-08-14T22:02:03.4661659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.4662067Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.4662458Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1199, in forward 2025-08-14T22:02:03.4662866Z key_vectors = self.key(hidden_states) 2025-08-14T22:02:03.4663002Z 2025-08-14T22:02:03.4663084Z cudagraph partition due to non gpu ops 2025-08-14T22:02:03.4663295Z cudagraph partition due to non gpu ops 2025-08-14T22:02:03.4663515Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.4664016Z 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 2025-08-14T22:02:03.4664477Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.4664866Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.4665239Z layer_outputs = layer( 2025-08-14T22:02:03.4665599Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.4665980Z attn_outputs = self.attention( 2025-08-14T22:02:03.4666351Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.4666750Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.4667154Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1265, in forward 2025-08-14T22:02:03.4667667Z key_vectors = self._look_adjacent(key_vectors, self.num_chunks_before, self.num_chunks_after) 2025-08-14T22:02:03.4668183Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent 2025-08-14T22:02:03.4668652Z slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2)) 2025-08-14T22:02:03.4668845Z 2025-08-14T22:02:03.4668932Z cudagraph partition due to non gpu ops 2025-08-14T22:02:03.4669128Z cudagraph partition due to non gpu ops 2025-08-14T22:02:03.4669357Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.4669828Z 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 2025-08-14T22:02:03.4670304Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.4670694Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.4671077Z layer_outputs = layer( 2025-08-14T22:02:03.4671445Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.4671828Z attn_outputs = self.attention( 2025-08-14T22:02:03.4672194Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.4672592Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.4672984Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1265, in forward 2025-08-14T22:02:03.4673455Z key_vectors = self._look_adjacent(key_vectors, self.num_chunks_before, self.num_chunks_after) 2025-08-14T22:02:03.4673955Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 400, in _look_adjacent 2025-08-14T22:02:03.4674354Z return torch.cat(slices, dim=3) 2025-08-14T22:02:03.4674477Z 2025-08-14T22:02:03.4674584Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.4675047Z 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 2025-08-14T22:02:03.4675504Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.4675893Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.4676265Z layer_outputs = layer( 2025-08-14T22:02:03.4676617Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.4676994Z attn_outputs = self.attention( 2025-08-14T22:02:03.4677384Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.4677782Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.4678169Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1272, in forward 2025-08-14T22:02:03.4678619Z query_key_dots = torch.matmul(query_vectors, key_vectors.transpose(-1, -2)) 2025-08-14T22:02:03.4678814Z 2025-08-14T22:02:03.4678921Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.4679380Z 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 2025-08-14T22:02:03.4679832Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.4680228Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.4680603Z layer_outputs = layer( 2025-08-14T22:02:03.4680971Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.4681354Z attn_outputs = self.attention( 2025-08-14T22:02:03.4681746Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.4682147Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.4682528Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1272, in forward 2025-08-14T22:02:03.4682981Z query_key_dots = torch.matmul(query_vectors, key_vectors.transpose(-1, -2)) 2025-08-14T22:02:03.4683170Z 2025-08-14T22:02:03.4683295Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.4683766Z 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 2025-08-14T22:02:03.4684216Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.4684605Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.4684981Z layer_outputs = layer( 2025-08-14T22:02:03.4685329Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.4685711Z attn_outputs = self.attention( 2025-08-14T22:02:03.4686075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.4686467Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.4686854Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1200, in forward 2025-08-14T22:02:03.4687243Z value_vectors = self.value(hidden_states) 2025-08-14T22:02:03.4687374Z 2025-08-14T22:02:03.4687460Z cudagraph partition due to non gpu ops 2025-08-14T22:02:03.4687663Z cudagraph partition due to non gpu ops 2025-08-14T22:02:03.4687882Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.4688352Z 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 2025-08-14T22:02:03.4688810Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.4689194Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.4689566Z layer_outputs = layer( 2025-08-14T22:02:03.4689922Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.4690308Z attn_outputs = self.attention( 2025-08-14T22:02:03.4690695Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.4691097Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.4691494Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1266, in forward 2025-08-14T22:02:03.4691990Z value_vectors = self._look_adjacent(value_vectors, self.num_chunks_before, self.num_chunks_after) 2025-08-14T22:02:03.4692488Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent 2025-08-14T22:02:03.4692948Z slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2)) 2025-08-14T22:02:03.4693141Z 2025-08-14T22:02:03.4693228Z cudagraph partition due to non gpu ops 2025-08-14T22:02:03.4693425Z cudagraph partition due to non gpu ops 2025-08-14T22:02:03.4693647Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.4694120Z 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 2025-08-14T22:02:03.4694603Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.4695012Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.4695386Z layer_outputs = layer( 2025-08-14T22:02:03.4695740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.4696121Z attn_outputs = self.attention( 2025-08-14T22:02:03.4696493Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.4696908Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.4697297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1308, in forward 2025-08-14T22:02:03.4697710Z out_vectors = torch.matmul(attention_probs, value_vectors) 2025-08-14T22:02:03.4697878Z 2025-08-14T22:02:03.4697980Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.4698449Z 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 2025-08-14T22:02:03.4698908Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.4699292Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.4699664Z layer_outputs = layer( 2025-08-14T22:02:03.4700112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.4700501Z attn_outputs = self.attention( 2025-08-14T22:02:03.4700875Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.4701288Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.4701693Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1308, in forward 2025-08-14T22:02:03.4702115Z out_vectors = torch.matmul(attention_probs, value_vectors) 2025-08-14T22:02:03.4702276Z 2025-08-14T22:02:03.4702376Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.4702853Z 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 2025-08-14T22:02:03.4703319Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.4703712Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.4704129Z layer_outputs = layer( 2025-08-14T22:02:03.4704493Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.4704872Z attn_outputs = self.attention( 2025-08-14T22:02:03.4705247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.4705643Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.4706041Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1324, in forward 2025-08-14T22:02:03.4706805Z out_vectors = self._merge_hidden_size_dims(out_vectors, self.num_attention_heads, self.attention_head_size) 2025-08-14T22:02:03.4707356Z 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 2025-08-14T22:02:03.4707856Z return torch.reshape(x, (x.size()[0], -1, num_attn_heads * attn_head_size)) 2025-08-14T22:02:03.4708127Z 2025-08-14T22:02:03.4708234Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.4708757Z 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 2025-08-14T22:02:03.4709218Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.4709623Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.4710008Z layer_outputs = layer( 2025-08-14T22:02:03.4710374Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.4710794Z attn_outputs = self.attention( 2025-08-14T22:02:03.4711175Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1457, in forward 2025-08-14T22:02:03.4711627Z attention_output = self.output(self_attention_outputs.hidden_states) 2025-08-14T22:02:03.4712064Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1371, in forward 2025-08-14T22:02:03.4712459Z hidden_states = self.dense(hidden_states) 2025-08-14T22:02:03.4712599Z 2025-08-14T22:02:03.4712700Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.4713175Z 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 2025-08-14T22:02:03.4713630Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.4714028Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.4714410Z layer_outputs = layer( 2025-08-14T22:02:03.4714774Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward 2025-08-14T22:02:03.4715200Z hidden_states = hidden_states + self.feed_forward(attn_output) 2025-08-14T22:02:03.4715630Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward 2025-08-14T22:02:03.4716015Z return apply_chunking_to_forward( 2025-08-14T22:02:03.4716382Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-08-14T22:02:03.4716760Z return forward_fn(*input_tensors) 2025-08-14T22:02:03.4717167Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1518, in forward_chunk 2025-08-14T22:02:03.4717578Z hidden_states = self.dense(hidden_states) 2025-08-14T22:02:03.4718005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1479, in forward 2025-08-14T22:02:03.4718403Z hidden_states = self.dense(hidden_states) 2025-08-14T22:02:03.4718531Z 2025-08-14T22:02:03.4718641Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.4719118Z 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 2025-08-14T22:02:03.4719579Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.4719979Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.4720354Z layer_outputs = layer( 2025-08-14T22:02:03.4720710Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward 2025-08-14T22:02:03.4721139Z hidden_states = hidden_states + self.feed_forward(attn_output) 2025-08-14T22:02:03.4721567Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward 2025-08-14T22:02:03.4721968Z return apply_chunking_to_forward( 2025-08-14T22:02:03.4722347Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-08-14T22:02:03.4722720Z return forward_fn(*input_tensors) 2025-08-14T22:02:03.4723112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1518, in forward_chunk 2025-08-14T22:02:03.4723511Z hidden_states = self.dense(hidden_states) 2025-08-14T22:02:03.4723940Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1481, in forward 2025-08-14T22:02:03.4724356Z hidden_states = self.act_fn(hidden_states) 2025-08-14T22:02:03.4724486Z 2025-08-14T22:02:03.4724595Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.4725066Z 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 2025-08-14T22:02:03.4725527Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.4725921Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.4726298Z layer_outputs = layer( 2025-08-14T22:02:03.4726653Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward 2025-08-14T22:02:03.4727075Z hidden_states = hidden_states + self.feed_forward(attn_output) 2025-08-14T22:02:03.4727496Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward 2025-08-14T22:02:03.4727877Z return apply_chunking_to_forward( 2025-08-14T22:02:03.4728238Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-08-14T22:02:03.4728614Z return forward_fn(*input_tensors) 2025-08-14T22:02:03.4729008Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1519, in forward_chunk 2025-08-14T22:02:03.4729406Z return self.output(hidden_states) 2025-08-14T22:02:03.4729789Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1493, in forward 2025-08-14T22:02:03.4730179Z hidden_states = self.dense(hidden_states) 2025-08-14T22:02:03.4730311Z 2025-08-14T22:02:03.4730417Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.4730884Z 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 2025-08-14T22:02:03.4731344Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.4731759Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.4732135Z layer_outputs = layer( 2025-08-14T22:02:03.4732492Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.4732877Z attn_outputs = self.attention( 2025-08-14T22:02:03.4733250Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.4733649Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.4734039Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 540, in forward 2025-08-14T22:02:03.4734440Z query_key_vectors = self.query_key(hidden_states) 2025-08-14T22:02:03.4734582Z 2025-08-14T22:02:03.4734687Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.4735163Z 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 2025-08-14T22:02:03.4735633Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.4736029Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.4736403Z layer_outputs = layer( 2025-08-14T22:02:03.4736758Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.4737136Z attn_outputs = self.attention( 2025-08-14T22:02:03.4737510Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.4737923Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.4738307Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward 2025-08-14T22:02:03.4738752Z buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask) 2025-08-14T22:02:03.4739212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 749, in _hash_vectors 2025-08-14T22:02:03.4739712Z random_rotations = torch.randn(rotations_shape, device=vectors.device, dtype=vectors.dtype) 2025-08-14T22:02:03.4740017Z 2025-08-14T22:02:03.4740121Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.4740595Z 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 2025-08-14T22:02:03.4741057Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.4741455Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.4741827Z layer_outputs = layer( 2025-08-14T22:02:03.4742190Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.4742576Z attn_outputs = self.attention( 2025-08-14T22:02:03.4742939Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.4743335Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.4743728Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward 2025-08-14T22:02:03.4744172Z buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask) 2025-08-14T22:02:03.4744620Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 751, in _hash_vectors 2025-08-14T22:02:03.4745111Z rotated_vectors = torch.einsum("bmtd,mdhr->bmhtr", vectors, random_rotations) 2025-08-14T22:02:03.4745311Z 2025-08-14T22:02:03.4745418Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.4745880Z 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 2025-08-14T22:02:03.4746329Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.4746719Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.4747091Z layer_outputs = layer( 2025-08-14T22:02:03.4747443Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.4747825Z attn_outputs = self.attention( 2025-08-14T22:02:03.4748196Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.4748607Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.4748990Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward 2025-08-14T22:02:03.4749443Z buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask) 2025-08-14T22:02:03.4749896Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 754, in _hash_vectors 2025-08-14T22:02:03.4750351Z rotated_vectors = torch.cat([rotated_vectors, -rotated_vectors], dim=-1) 2025-08-14T22:02:03.4750545Z 2025-08-14T22:02:03.4750643Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.4751135Z 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 2025-08-14T22:02:03.4751599Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.4751999Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.4752371Z layer_outputs = layer( 2025-08-14T22:02:03.4752743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.4753129Z attn_outputs = self.attention( 2025-08-14T22:02:03.4753497Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.4753896Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.4754291Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward 2025-08-14T22:02:03.4754738Z buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask) 2025-08-14T22:02:03.4755189Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 755, in _hash_vectors 2025-08-14T22:02:03.4755612Z buckets = torch.argmax(rotated_vectors, dim=-1) 2025-08-14T22:02:03.4755764Z 2025-08-14T22:02:03.4755866Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.4756337Z 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 2025-08-14T22:02:03.4756796Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.4757196Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.4757575Z layer_outputs = layer( 2025-08-14T22:02:03.4757940Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.4758343Z attn_outputs = self.attention( 2025-08-14T22:02:03.4758720Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.4759112Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.4759493Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 587, in forward 2025-08-14T22:02:03.4759984Z sorted_bucket_idx, undo_sorted_bucket_idx = self._get_sorted_bucket_idx_and_undo_sorted_bucket_idx( 2025-08-14T22:02:03.4760545Z 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 2025-08-14T22:02:03.4761034Z sorted_bucket_idx = _stable_argsort(buckets, dim=-1) 2025-08-14T22:02:03.4761453Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 182, in _stable_argsort 2025-08-14T22:02:03.4761923Z scaled_vector = vector.shape[dim] * vector + (scale_offset % vector.shape[dim]) 2025-08-14T22:02:03.4762160Z 2025-08-14T22:02:03.4762239Z cudagraph partition due to non gpu ops 2025-08-14T22:02:03.4762467Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.4762942Z 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 2025-08-14T22:02:03.4763409Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.4763809Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.4764192Z layer_outputs = layer( 2025-08-14T22:02:03.4764549Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.4764958Z attn_outputs = self.attention( 2025-08-14T22:02:03.4765337Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.4765737Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.4766134Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 587, in forward 2025-08-14T22:02:03.4766622Z sorted_bucket_idx, undo_sorted_bucket_idx = self._get_sorted_bucket_idx_and_undo_sorted_bucket_idx( 2025-08-14T22:02:03.4767191Z 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 2025-08-14T22:02:03.4767682Z sorted_bucket_idx = _stable_argsort(buckets, dim=-1) 2025-08-14T22:02:03.4768110Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 183, in _stable_argsort 2025-08-14T22:02:03.4768530Z return torch.argsort(scaled_vector, dim=dim) 2025-08-14T22:02:03.4768670Z 2025-08-14T22:02:03.4768754Z cudagraph partition due to non gpu ops 2025-08-14T22:02:03.4768953Z cudagraph partition due to non gpu ops 2025-08-14T22:02:03.4769179Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.4769650Z 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 2025-08-14T22:02:03.4770112Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.4770502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.4770884Z layer_outputs = layer( 2025-08-14T22:02:03.4771247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.4771625Z attn_outputs = self.attention( 2025-08-14T22:02:03.4772024Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.4772423Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.4772813Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward 2025-08-14T22:02:03.4773210Z out_vectors, logits, attention_probs = self._attend( 2025-08-14T22:02:03.4773614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 859, in _attend 2025-08-14T22:02:03.4774111Z key_value_bucket_idx = self._look_adjacent(query_bucket_idx, self.num_chunks_before, self.num_chunks_after) 2025-08-14T22:02:03.4774624Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent 2025-08-14T22:02:03.4775077Z slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2)) 2025-08-14T22:02:03.4775276Z 2025-08-14T22:02:03.4775374Z cudagraph partition due to non gpu ops 2025-08-14T22:02:03.4775581Z cudagraph partition due to non gpu ops 2025-08-14T22:02:03.4775798Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.4776285Z 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 2025-08-14T22:02:03.4776751Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.4777156Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.4777530Z layer_outputs = layer( 2025-08-14T22:02:03.4777893Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.4778309Z attn_outputs = self.attention( 2025-08-14T22:02:03.4778680Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.4779070Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.4779461Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward 2025-08-14T22:02:03.4779937Z out_vectors, logits, attention_probs = self._attend( 2025-08-14T22:02:03.4780347Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 859, in _attend 2025-08-14T22:02:03.4780851Z key_value_bucket_idx = self._look_adjacent(query_bucket_idx, self.num_chunks_before, self.num_chunks_after) 2025-08-14T22:02:03.4781372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 400, in _look_adjacent 2025-08-14T22:02:03.4781782Z return torch.cat(slices, dim=3) 2025-08-14T22:02:03.4781905Z 2025-08-14T22:02:03.4781984Z cudagraph partition due to non gpu ops 2025-08-14T22:02:03.4782216Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.4782691Z 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 2025-08-14T22:02:03.4783162Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.4783553Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.4783927Z layer_outputs = layer( 2025-08-14T22:02:03.4784287Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.4784672Z attn_outputs = self.attention( 2025-08-14T22:02:03.4785039Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.4785456Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.4785849Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 541, in forward 2025-08-14T22:02:03.4786226Z value_vectors = self.value(hidden_states) 2025-08-14T22:02:03.4786364Z 2025-08-14T22:02:03.4786463Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.4786926Z 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 2025-08-14T22:02:03.4787384Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.4787769Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.4788143Z layer_outputs = layer( 2025-08-14T22:02:03.4788501Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.4788901Z attn_outputs = self.attention( 2025-08-14T22:02:03.4789268Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.4789684Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.4790078Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward 2025-08-14T22:02:03.4790474Z out_vectors, logits, attention_probs = self._attend( 2025-08-14T22:02:03.4790881Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 844, in _attend 2025-08-14T22:02:03.4791362Z key_vectors = self._look_adjacent(key_vectors, self.num_chunks_before, self.num_chunks_after) 2025-08-14T22:02:03.4791876Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent 2025-08-14T22:02:03.4792330Z slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2)) 2025-08-14T22:02:03.4792530Z 2025-08-14T22:02:03.4792608Z cudagraph partition due to non gpu ops 2025-08-14T22:02:03.4792835Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.4793309Z 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 2025-08-14T22:02:03.4793758Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.4794153Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.4794527Z layer_outputs = layer( 2025-08-14T22:02:03.4794886Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.4795254Z attn_outputs = self.attention( 2025-08-14T22:02:03.4795626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.4796021Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.4796404Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward 2025-08-14T22:02:03.4796806Z out_vectors, logits, attention_probs = self._attend( 2025-08-14T22:02:03.4797201Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 844, in _attend 2025-08-14T22:02:03.4797666Z key_vectors = self._look_adjacent(key_vectors, self.num_chunks_before, self.num_chunks_after) 2025-08-14T22:02:03.4798149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 400, in _look_adjacent 2025-08-14T22:02:03.4798544Z return torch.cat(slices, dim=3) 2025-08-14T22:02:03.4798696Z 2025-08-14T22:02:03.4798800Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.4799275Z 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 2025-08-14T22:02:03.4799746Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.4800141Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.4800521Z layer_outputs = layer( 2025-08-14T22:02:03.4800884Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.4801258Z attn_outputs = self.attention( 2025-08-14T22:02:03.4801633Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.4802034Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.4802439Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 595, in forward 2025-08-14T22:02:03.4802951Z query_key_vectors = self._gather_by_expansion(query_key_vectors, sorted_bucket_idx_per_hash, num_hashes) 2025-08-14T22:02:03.4803484Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1099, in _gather_by_expansion 2025-08-14T22:02:03.4803925Z return torch.gather(vectors, 2, expanded_idxs) 2025-08-14T22:02:03.4804064Z 2025-08-14T22:02:03.4804164Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.4804652Z 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 2025-08-14T22:02:03.4805129Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.4805525Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.4805897Z layer_outputs = layer( 2025-08-14T22:02:03.4806444Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.4806838Z attn_outputs = self.attention( 2025-08-14T22:02:03.4807215Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.4807605Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.4807995Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward 2025-08-14T22:02:03.4808402Z out_vectors, logits, attention_probs = self._attend( 2025-08-14T22:02:03.4808796Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 849, in _attend 2025-08-14T22:02:03.4809255Z query_key_dots = torch.matmul(query_vectors, key_vectors.transpose(-1, -2)) 2025-08-14T22:02:03.4809455Z 2025-08-14T22:02:03.4809555Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.4810031Z 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 2025-08-14T22:02:03.4810484Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.4810880Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.4811256Z layer_outputs = layer( 2025-08-14T22:02:03.4811608Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.4811982Z attn_outputs = self.attention( 2025-08-14T22:02:03.4812460Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.4812862Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.4813246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward 2025-08-14T22:02:03.4813654Z out_vectors, logits, attention_probs = self._attend( 2025-08-14T22:02:03.4814060Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 845, in _attend 2025-08-14T22:02:03.4814554Z value_vectors = self._look_adjacent(value_vectors, self.num_chunks_before, self.num_chunks_after) 2025-08-14T22:02:03.4815060Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent 2025-08-14T22:02:03.4815530Z slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2)) 2025-08-14T22:02:03.4815732Z 2025-08-14T22:02:03.4815812Z cudagraph partition due to non gpu ops 2025-08-14T22:02:03.4816071Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.4816556Z 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 2025-08-14T22:02:03.4817018Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.4817416Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.4817797Z layer_outputs = layer( 2025-08-14T22:02:03.4818142Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.4818559Z attn_outputs = self.attention( 2025-08-14T22:02:03.4818943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.4819337Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.4819740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward 2025-08-14T22:02:03.4820205Z out_vectors, logits, attention_probs = self._attend( 2025-08-14T22:02:03.4820614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 931, in _attend 2025-08-14T22:02:03.4821024Z out_vectors = torch.matmul(attention_probs, value_vectors) 2025-08-14T22:02:03.4821190Z 2025-08-14T22:02:03.4821291Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.4821764Z 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 2025-08-14T22:02:03.4822234Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.4822640Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.4823027Z layer_outputs = layer( 2025-08-14T22:02:03.4823395Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.4823777Z attn_outputs = self.attention( 2025-08-14T22:02:03.4824148Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.4824546Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.4824937Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward 2025-08-14T22:02:03.4837428Z out_vectors, logits, attention_probs = self._attend( 2025-08-14T22:02:03.4838067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 931, in _attend 2025-08-14T22:02:03.4838596Z out_vectors = torch.matmul(attention_probs, value_vectors) 2025-08-14T22:02:03.4838776Z 2025-08-14T22:02:03.4838862Z cudagraph partition due to non gpu ops 2025-08-14T22:02:03.4839107Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.4839610Z 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 2025-08-14T22:02:03.4840092Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.4840497Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.4840890Z layer_outputs = layer( 2025-08-14T22:02:03.4841265Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.4841649Z attn_outputs = self.attention( 2025-08-14T22:02:03.4842040Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.4842473Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.4842905Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 692, in forward 2025-08-14T22:02:03.4843404Z out_vectors = self._merge_hidden_size_dims(out_vectors, self.num_attention_heads, self.attention_head_size) 2025-08-14T22:02:03.4843947Z 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 2025-08-14T22:02:03.4844441Z return torch.reshape(x, (x.size()[0], -1, num_attn_heads * attn_head_size)) 2025-08-14T22:02:03.4844655Z 2025-08-14T22:02:03.4844769Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.4845241Z 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 2025-08-14T22:02:03.4845718Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.4846122Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.4846506Z layer_outputs = layer( 2025-08-14T22:02:03.4846862Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.4847244Z attn_outputs = self.attention( 2025-08-14T22:02:03.4847621Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1457, in forward 2025-08-14T22:02:03.4848057Z attention_output = self.output(self_attention_outputs.hidden_states) 2025-08-14T22:02:03.4848503Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1371, in forward 2025-08-14T22:02:03.4848896Z hidden_states = self.dense(hidden_states) 2025-08-14T22:02:03.4849030Z 2025-08-14T22:02:03.4849138Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.4849603Z 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 2025-08-14T22:02:03.4850069Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.4850466Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.4850841Z layer_outputs = layer( 2025-08-14T22:02:03.4851199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward 2025-08-14T22:02:03.4851624Z hidden_states = hidden_states + self.feed_forward(attn_output) 2025-08-14T22:02:03.4852068Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward 2025-08-14T22:02:03.4852458Z return apply_chunking_to_forward( 2025-08-14T22:02:03.4852823Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-08-14T22:02:03.4853195Z return forward_fn(*input_tensors) 2025-08-14T22:02:03.4853591Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1518, in forward_chunk 2025-08-14T22:02:03.4853991Z hidden_states = self.dense(hidden_states) 2025-08-14T22:02:03.4854378Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1479, in forward 2025-08-14T22:02:03.4854767Z hidden_states = self.dense(hidden_states) 2025-08-14T22:02:03.4854899Z 2025-08-14T22:02:03.4855010Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.4855473Z 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 2025-08-14T22:02:03.4855956Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.4856369Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.4856748Z layer_outputs = layer( 2025-08-14T22:02:03.4857098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward 2025-08-14T22:02:03.4857523Z hidden_states = hidden_states + self.feed_forward(attn_output) 2025-08-14T22:02:03.4857943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward 2025-08-14T22:02:03.4858332Z return apply_chunking_to_forward( 2025-08-14T22:02:03.4858701Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-08-14T22:02:03.4859073Z return forward_fn(*input_tensors) 2025-08-14T22:02:03.4859470Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1518, in forward_chunk 2025-08-14T22:02:03.4859950Z hidden_states = self.dense(hidden_states) 2025-08-14T22:02:03.4860350Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1481, in forward 2025-08-14T22:02:03.4860748Z hidden_states = self.act_fn(hidden_states) 2025-08-14T22:02:03.4860883Z 2025-08-14T22:02:03.4860993Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.4861458Z 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 2025-08-14T22:02:03.4861933Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.4862332Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.4862713Z layer_outputs = layer( 2025-08-14T22:02:03.4863071Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward 2025-08-14T22:02:03.4863503Z hidden_states = hidden_states + self.feed_forward(attn_output) 2025-08-14T22:02:03.4863932Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward 2025-08-14T22:02:03.4864311Z return apply_chunking_to_forward( 2025-08-14T22:02:03.4864685Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-08-14T22:02:03.4865063Z return forward_fn(*input_tensors) 2025-08-14T22:02:03.4865477Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1519, in forward_chunk 2025-08-14T22:02:03.4865872Z return self.output(hidden_states) 2025-08-14T22:02:03.4866257Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1493, in forward 2025-08-14T22:02:03.4866659Z hidden_states = self.dense(hidden_states) 2025-08-14T22:02:03.4866791Z 2025-08-14T22:02:03.4866899Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.4867369Z 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 2025-08-14T22:02:03.4867838Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.4868238Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.4868610Z layer_outputs = layer( 2025-08-14T22:02:03.4868974Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.4869378Z attn_outputs = self.attention( 2025-08-14T22:02:03.4869763Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.4870192Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.4870596Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1198, in forward 2025-08-14T22:02:03.4870990Z query_vectors = self.query(hidden_states) 2025-08-14T22:02:03.4871334Z 2025-08-14T22:02:03.4871445Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.4871909Z 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 2025-08-14T22:02:03.4872384Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.4872778Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.4873154Z layer_outputs = layer( 2025-08-14T22:02:03.4873506Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.4873894Z attn_outputs = self.attention( 2025-08-14T22:02:03.4874268Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.4874655Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.4875048Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1199, in forward 2025-08-14T22:02:03.4875432Z key_vectors = self.key(hidden_states) 2025-08-14T22:02:03.4875558Z 2025-08-14T22:02:03.4875643Z cudagraph partition due to non gpu ops 2025-08-14T22:02:03.4875844Z cudagraph partition due to non gpu ops 2025-08-14T22:02:03.4876072Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.4876538Z 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 2025-08-14T22:02:03.4876993Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.4877388Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.4877762Z layer_outputs = layer( 2025-08-14T22:02:03.4878120Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.4878494Z attn_outputs = self.attention( 2025-08-14T22:02:03.4878871Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.4879288Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.4879683Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1265, in forward 2025-08-14T22:02:03.4880156Z key_vectors = self._look_adjacent(key_vectors, self.num_chunks_before, self.num_chunks_after) 2025-08-14T22:02:03.4880655Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent 2025-08-14T22:02:03.4881122Z slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2)) 2025-08-14T22:02:03.4881314Z 2025-08-14T22:02:03.4881399Z cudagraph partition due to non gpu ops 2025-08-14T22:02:03.4881596Z cudagraph partition due to non gpu ops 2025-08-14T22:02:03.4881820Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.4882288Z 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 2025-08-14T22:02:03.4882761Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.4883154Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.4883538Z layer_outputs = layer( 2025-08-14T22:02:03.4883902Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.4884272Z attn_outputs = self.attention( 2025-08-14T22:02:03.4884641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.4885040Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.4885445Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1265, in forward 2025-08-14T22:02:03.4885931Z key_vectors = self._look_adjacent(key_vectors, self.num_chunks_before, self.num_chunks_after) 2025-08-14T22:02:03.4886432Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 400, in _look_adjacent 2025-08-14T22:02:03.4886835Z return torch.cat(slices, dim=3) 2025-08-14T22:02:03.4886959Z 2025-08-14T22:02:03.4887062Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.4887528Z 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 2025-08-14T22:02:03.4887989Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.4888389Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.4888762Z layer_outputs = layer( 2025-08-14T22:02:03.4889121Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.4889506Z attn_outputs = self.attention( 2025-08-14T22:02:03.4889880Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.4890272Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.4890669Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1272, in forward 2025-08-14T22:02:03.4891126Z query_key_dots = torch.matmul(query_vectors, key_vectors.transpose(-1, -2)) 2025-08-14T22:02:03.4891323Z 2025-08-14T22:02:03.4891424Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.4891897Z 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 2025-08-14T22:02:03.4892365Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.4892793Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.4893160Z layer_outputs = layer( 2025-08-14T22:02:03.4893518Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.4893891Z attn_outputs = self.attention( 2025-08-14T22:02:03.4894261Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.4894647Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.4895039Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1272, in forward 2025-08-14T22:02:03.4895485Z query_key_dots = torch.matmul(query_vectors, key_vectors.transpose(-1, -2)) 2025-08-14T22:02:03.4895674Z 2025-08-14T22:02:03.4895782Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.4896258Z 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 2025-08-14T22:02:03.4896713Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.4897119Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.4897489Z layer_outputs = layer( 2025-08-14T22:02:03.4897855Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.4898238Z attn_outputs = self.attention( 2025-08-14T22:02:03.4898612Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.4899020Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.4899413Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1200, in forward 2025-08-14T22:02:03.4899872Z value_vectors = self.value(hidden_states) 2025-08-14T22:02:03.4900018Z 2025-08-14T22:02:03.4900110Z cudagraph partition due to non gpu ops 2025-08-14T22:02:03.4900312Z cudagraph partition due to non gpu ops 2025-08-14T22:02:03.4900540Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.4901011Z 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 2025-08-14T22:02:03.4901466Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.4901861Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.4902238Z layer_outputs = layer( 2025-08-14T22:02:03.4902597Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.4902969Z attn_outputs = self.attention( 2025-08-14T22:02:03.4903343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.4903740Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.4904124Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1266, in forward 2025-08-14T22:02:03.4904613Z value_vectors = self._look_adjacent(value_vectors, self.num_chunks_before, self.num_chunks_after) 2025-08-14T22:02:03.4905111Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent 2025-08-14T22:02:03.4905577Z slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2)) 2025-08-14T22:02:03.4905770Z 2025-08-14T22:02:03.4905853Z cudagraph partition due to non gpu ops 2025-08-14T22:02:03.4906072Z cudagraph partition due to non gpu ops 2025-08-14T22:02:03.4906513Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.4906988Z 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 2025-08-14T22:02:03.4907438Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.4907830Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.4908205Z layer_outputs = layer( 2025-08-14T22:02:03.4908568Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.4908944Z attn_outputs = self.attention( 2025-08-14T22:02:03.4909322Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.4909780Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.4910170Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1308, in forward 2025-08-14T22:02:03.4910620Z out_vectors = torch.matmul(attention_probs, value_vectors) 2025-08-14T22:02:03.4910787Z 2025-08-14T22:02:03.4910885Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.4911353Z 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 2025-08-14T22:02:03.4911804Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.4912197Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.4912601Z layer_outputs = layer( 2025-08-14T22:02:03.4912961Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.4913334Z attn_outputs = self.attention( 2025-08-14T22:02:03.4913711Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.4914104Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.4914491Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1308, in forward 2025-08-14T22:02:03.4914909Z out_vectors = torch.matmul(attention_probs, value_vectors) 2025-08-14T22:02:03.4915076Z 2025-08-14T22:02:03.4915174Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.4915641Z 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 2025-08-14T22:02:03.4916096Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.4916492Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.4916868Z layer_outputs = layer( 2025-08-14T22:02:03.4917224Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.4917598Z attn_outputs = self.attention( 2025-08-14T22:02:03.4917972Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.4918368Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.4918761Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1324, in forward 2025-08-14T22:02:03.4919256Z out_vectors = self._merge_hidden_size_dims(out_vectors, self.num_attention_heads, self.attention_head_size) 2025-08-14T22:02:03.4919821Z 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 2025-08-14T22:02:03.4920306Z return torch.reshape(x, (x.size()[0], -1, num_attn_heads * attn_head_size)) 2025-08-14T22:02:03.4920489Z 2025-08-14T22:02:03.4920596Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.4921057Z 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 2025-08-14T22:02:03.4921517Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.4921910Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.4922279Z layer_outputs = layer( 2025-08-14T22:02:03.4922633Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.4923017Z attn_outputs = self.attention( 2025-08-14T22:02:03.4923415Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1457, in forward 2025-08-14T22:02:03.4923868Z attention_output = self.output(self_attention_outputs.hidden_states) 2025-08-14T22:02:03.4924310Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1371, in forward 2025-08-14T22:02:03.4924700Z hidden_states = self.dense(hidden_states) 2025-08-14T22:02:03.4924831Z 2025-08-14T22:02:03.4924936Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.4925400Z 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 2025-08-14T22:02:03.4925870Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.4926264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.4926636Z layer_outputs = layer( 2025-08-14T22:02:03.4926985Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward 2025-08-14T22:02:03.4927403Z hidden_states = hidden_states + self.feed_forward(attn_output) 2025-08-14T22:02:03.4927822Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward 2025-08-14T22:02:03.4928197Z return apply_chunking_to_forward( 2025-08-14T22:02:03.4928568Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-08-14T22:02:03.4928936Z return forward_fn(*input_tensors) 2025-08-14T22:02:03.4929330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1518, in forward_chunk 2025-08-14T22:02:03.4929730Z hidden_states = self.dense(hidden_states) 2025-08-14T22:02:03.4930117Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1479, in forward 2025-08-14T22:02:03.4930505Z hidden_states = self.dense(hidden_states) 2025-08-14T22:02:03.4930633Z 2025-08-14T22:02:03.4930738Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.4931199Z 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 2025-08-14T22:02:03.4931655Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.4932046Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.4932412Z layer_outputs = layer( 2025-08-14T22:02:03.4932791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward 2025-08-14T22:02:03.4933215Z hidden_states = hidden_states + self.feed_forward(attn_output) 2025-08-14T22:02:03.4933642Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward 2025-08-14T22:02:03.4934019Z return apply_chunking_to_forward( 2025-08-14T22:02:03.4934388Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-08-14T22:02:03.4934758Z return forward_fn(*input_tensors) 2025-08-14T22:02:03.4935152Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1518, in forward_chunk 2025-08-14T22:02:03.4935549Z hidden_states = self.dense(hidden_states) 2025-08-14T22:02:03.4935937Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1481, in forward 2025-08-14T22:02:03.4936328Z hidden_states = self.act_fn(hidden_states) 2025-08-14T22:02:03.4936477Z 2025-08-14T22:02:03.4936578Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.4937064Z 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 2025-08-14T22:02:03.4937524Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.4937915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.4938282Z layer_outputs = layer( 2025-08-14T22:02:03.4938643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward 2025-08-14T22:02:03.4939089Z hidden_states = hidden_states + self.feed_forward(attn_output) 2025-08-14T22:02:03.4939519Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward 2025-08-14T22:02:03.4939974Z return apply_chunking_to_forward( 2025-08-14T22:02:03.4940350Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-08-14T22:02:03.4940724Z return forward_fn(*input_tensors) 2025-08-14T22:02:03.4941114Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1519, in forward_chunk 2025-08-14T22:02:03.4941503Z return self.output(hidden_states) 2025-08-14T22:02:03.4941882Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1493, in forward 2025-08-14T22:02:03.4942271Z hidden_states = self.dense(hidden_states) 2025-08-14T22:02:03.4942403Z 2025-08-14T22:02:03.4942512Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.4942974Z 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 2025-08-14T22:02:03.4943436Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.4943829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.4944197Z layer_outputs = layer( 2025-08-14T22:02:03.4944558Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.4944940Z attn_outputs = self.attention( 2025-08-14T22:02:03.4945312Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.4945701Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.4946094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 540, in forward 2025-08-14T22:02:03.4947374Z query_key_vectors = self.query_key(hidden_states) 2025-08-14T22:02:03.4947527Z 2025-08-14T22:02:03.4947636Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.4948104Z 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 2025-08-14T22:02:03.4948571Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.4948970Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.4949347Z layer_outputs = layer( 2025-08-14T22:02:03.4949699Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.4950086Z attn_outputs = self.attention( 2025-08-14T22:02:03.4950472Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.4950881Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.4951273Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward 2025-08-14T22:02:03.4951730Z buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask) 2025-08-14T22:02:03.4952195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 749, in _hash_vectors 2025-08-14T22:02:03.4952690Z random_rotations = torch.randn(rotations_shape, device=vectors.device, dtype=vectors.dtype) 2025-08-14T22:02:03.4952931Z 2025-08-14T22:02:03.4953029Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.4953508Z 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 2025-08-14T22:02:03.4953965Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.4954352Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.4954724Z layer_outputs = layer( 2025-08-14T22:02:03.4955090Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.4955470Z attn_outputs = self.attention( 2025-08-14T22:02:03.4955837Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.4956233Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.4956622Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward 2025-08-14T22:02:03.4957053Z buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask) 2025-08-14T22:02:03.4957514Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 751, in _hash_vectors 2025-08-14T22:02:03.4957976Z rotated_vectors = torch.einsum("bmtd,mdhr->bmhtr", vectors, random_rotations) 2025-08-14T22:02:03.4958168Z 2025-08-14T22:02:03.4958273Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.4958738Z 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 2025-08-14T22:02:03.4959195Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.4959587Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.4959960Z layer_outputs = layer( 2025-08-14T22:02:03.4960306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.4960701Z attn_outputs = self.attention( 2025-08-14T22:02:03.4961082Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.4961479Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.4961864Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward 2025-08-14T22:02:03.4962305Z buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask) 2025-08-14T22:02:03.4962758Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 754, in _hash_vectors 2025-08-14T22:02:03.4963208Z rotated_vectors = torch.cat([rotated_vectors, -rotated_vectors], dim=-1) 2025-08-14T22:02:03.4963404Z 2025-08-14T22:02:03.4963503Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.4963974Z 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 2025-08-14T22:02:03.4964461Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.4964861Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.4965235Z layer_outputs = layer( 2025-08-14T22:02:03.4965589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.4965966Z attn_outputs = self.attention( 2025-08-14T22:02:03.4966331Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.4966740Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.4967131Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward 2025-08-14T22:02:03.4967568Z buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask) 2025-08-14T22:02:03.4968009Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 755, in _hash_vectors 2025-08-14T22:02:03.4968418Z buckets = torch.argmax(rotated_vectors, dim=-1) 2025-08-14T22:02:03.4968559Z 2025-08-14T22:02:03.4968663Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.4969121Z 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 2025-08-14T22:02:03.4969576Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.4969969Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.4970344Z layer_outputs = layer( 2025-08-14T22:02:03.4970701Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.4971085Z attn_outputs = self.attention( 2025-08-14T22:02:03.4971457Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.4971852Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.4972236Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 587, in forward 2025-08-14T22:02:03.4972721Z sorted_bucket_idx, undo_sorted_bucket_idx = self._get_sorted_bucket_idx_and_undo_sorted_bucket_idx( 2025-08-14T22:02:03.4973291Z 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 2025-08-14T22:02:03.4973786Z sorted_bucket_idx = _stable_argsort(buckets, dim=-1) 2025-08-14T22:02:03.4974232Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 182, in _stable_argsort 2025-08-14T22:02:03.4974702Z scaled_vector = vector.shape[dim] * vector + (scale_offset % vector.shape[dim]) 2025-08-14T22:02:03.4974895Z 2025-08-14T22:02:03.4974985Z cudagraph partition due to non gpu ops 2025-08-14T22:02:03.4975205Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.4975673Z 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 2025-08-14T22:02:03.4976132Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.4976634Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.4977016Z layer_outputs = layer( 2025-08-14T22:02:03.4977385Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.4977829Z attn_outputs = self.attention( 2025-08-14T22:02:03.4978209Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.4978639Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.4979034Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 587, in forward 2025-08-14T22:02:03.4979508Z sorted_bucket_idx, undo_sorted_bucket_idx = self._get_sorted_bucket_idx_and_undo_sorted_bucket_idx( 2025-08-14T22:02:03.4980118Z 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 2025-08-14T22:02:03.4980651Z sorted_bucket_idx = _stable_argsort(buckets, dim=-1) 2025-08-14T22:02:03.4981080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 183, in _stable_argsort 2025-08-14T22:02:03.4981495Z return torch.argsort(scaled_vector, dim=dim) 2025-08-14T22:02:03.4981640Z 2025-08-14T22:02:03.4981718Z cudagraph partition due to non gpu ops 2025-08-14T22:02:03.4981926Z cudagraph partition due to non gpu ops 2025-08-14T22:02:03.4982145Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.4982621Z 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 2025-08-14T22:02:03.4983083Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.4983478Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.4983856Z layer_outputs = layer( 2025-08-14T22:02:03.4984220Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.4984604Z attn_outputs = self.attention( 2025-08-14T22:02:03.4984977Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.4985373Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.4985767Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward 2025-08-14T22:02:03.4986176Z out_vectors, logits, attention_probs = self._attend( 2025-08-14T22:02:03.4986574Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 859, in _attend 2025-08-14T22:02:03.4987077Z key_value_bucket_idx = self._look_adjacent(query_bucket_idx, self.num_chunks_before, self.num_chunks_after) 2025-08-14T22:02:03.4987612Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent 2025-08-14T22:02:03.4988081Z slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2)) 2025-08-14T22:02:03.4988271Z 2025-08-14T22:02:03.4988346Z cudagraph partition due to non gpu ops 2025-08-14T22:02:03.4988549Z cudagraph partition due to non gpu ops 2025-08-14T22:02:03.4988770Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.4989239Z 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 2025-08-14T22:02:03.4989688Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.4990080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.4990452Z layer_outputs = layer( 2025-08-14T22:02:03.4990812Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.4991199Z attn_outputs = self.attention( 2025-08-14T22:02:03.4991568Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.4991979Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.4992365Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward 2025-08-14T22:02:03.4992769Z out_vectors, logits, attention_probs = self._attend( 2025-08-14T22:02:03.4993169Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 859, in _attend 2025-08-14T22:02:03.4993668Z key_value_bucket_idx = self._look_adjacent(query_bucket_idx, self.num_chunks_before, self.num_chunks_after) 2025-08-14T22:02:03.4994194Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 400, in _look_adjacent 2025-08-14T22:02:03.4994595Z return torch.cat(slices, dim=3) 2025-08-14T22:02:03.4994715Z 2025-08-14T22:02:03.4994801Z cudagraph partition due to non gpu ops 2025-08-14T22:02:03.4995024Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.4995489Z 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 2025-08-14T22:02:03.4995949Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.4996340Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.4996708Z layer_outputs = layer( 2025-08-14T22:02:03.4997066Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.4997449Z attn_outputs = self.attention( 2025-08-14T22:02:03.4997820Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.4998211Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.4998613Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 541, in forward 2025-08-14T22:02:03.4998995Z value_vectors = self.value(hidden_states) 2025-08-14T22:02:03.4999124Z 2025-08-14T22:02:03.4999229Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.4999685Z 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 2025-08-14T22:02:03.5000141Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.5000543Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.5000944Z layer_outputs = layer( 2025-08-14T22:02:03.5001296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.5001674Z attn_outputs = self.attention( 2025-08-14T22:02:03.5002048Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.5002439Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.5002829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward 2025-08-14T22:02:03.5003236Z out_vectors, logits, attention_probs = self._attend( 2025-08-14T22:02:03.5003638Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 844, in _attend 2025-08-14T22:02:03.5004113Z key_vectors = self._look_adjacent(key_vectors, self.num_chunks_before, self.num_chunks_after) 2025-08-14T22:02:03.5004608Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent 2025-08-14T22:02:03.5005096Z slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2)) 2025-08-14T22:02:03.5005307Z 2025-08-14T22:02:03.5005392Z cudagraph partition due to non gpu ops 2025-08-14T22:02:03.5005610Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.5006077Z 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 2025-08-14T22:02:03.5006704Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.5007095Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.5007538Z layer_outputs = layer( 2025-08-14T22:02:03.5007901Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.5008288Z attn_outputs = self.attention( 2025-08-14T22:02:03.5008655Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.5009057Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.5009452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward 2025-08-14T22:02:03.5009863Z out_vectors, logits, attention_probs = self._attend( 2025-08-14T22:02:03.5010257Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 844, in _attend 2025-08-14T22:02:03.5010740Z key_vectors = self._look_adjacent(key_vectors, self.num_chunks_before, self.num_chunks_after) 2025-08-14T22:02:03.5011248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 400, in _look_adjacent 2025-08-14T22:02:03.5011653Z return torch.cat(slices, dim=3) 2025-08-14T22:02:03.5011775Z 2025-08-14T22:02:03.5011876Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.5012347Z 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 2025-08-14T22:02:03.5012818Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.5013212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.5013589Z layer_outputs = layer( 2025-08-14T22:02:03.5013948Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.5014330Z attn_outputs = self.attention( 2025-08-14T22:02:03.5014736Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.5015137Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.5015531Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 595, in forward 2025-08-14T22:02:03.5016026Z query_key_vectors = self._gather_by_expansion(query_key_vectors, sorted_bucket_idx_per_hash, num_hashes) 2025-08-14T22:02:03.5016547Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1099, in _gather_by_expansion 2025-08-14T22:02:03.5016983Z return torch.gather(vectors, 2, expanded_idxs) 2025-08-14T22:02:03.5017122Z 2025-08-14T22:02:03.5017228Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.5017698Z 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 2025-08-14T22:02:03.5018175Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.5018567Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.5018970Z layer_outputs = layer( 2025-08-14T22:02:03.5019323Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.5019707Z attn_outputs = self.attention( 2025-08-14T22:02:03.5020136Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.5020538Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.5020949Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward 2025-08-14T22:02:03.5021349Z out_vectors, logits, attention_probs = self._attend( 2025-08-14T22:02:03.5021748Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 849, in _attend 2025-08-14T22:02:03.5022193Z query_key_dots = torch.matmul(query_vectors, key_vectors.transpose(-1, -2)) 2025-08-14T22:02:03.5022386Z 2025-08-14T22:02:03.5022485Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.5022952Z 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 2025-08-14T22:02:03.5023409Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.5023804Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.5024170Z layer_outputs = layer( 2025-08-14T22:02:03.5024526Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.5024902Z attn_outputs = self.attention( 2025-08-14T22:02:03.5025263Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.5025656Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.5026043Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward 2025-08-14T22:02:03.5026438Z out_vectors, logits, attention_probs = self._attend( 2025-08-14T22:02:03.5026827Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 845, in _attend 2025-08-14T22:02:03.5027304Z value_vectors = self._look_adjacent(value_vectors, self.num_chunks_before, self.num_chunks_after) 2025-08-14T22:02:03.5027802Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent 2025-08-14T22:02:03.5028284Z slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2)) 2025-08-14T22:02:03.5028476Z 2025-08-14T22:02:03.5028556Z cudagraph partition due to non gpu ops 2025-08-14T22:02:03.5028667Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.5029003Z 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 2025-08-14T22:02:03.5029090Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.5029347Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.5029413Z layer_outputs = layer( 2025-08-14T22:02:03.5029672Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.5029742Z attn_outputs = self.attention( 2025-08-14T22:02:03.5029991Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.5030101Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.5030412Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward 2025-08-14T22:02:03.5030518Z out_vectors, logits, attention_probs = self._attend( 2025-08-14T22:02:03.5030766Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 931, in _attend 2025-08-14T22:02:03.5030874Z out_vectors = torch.matmul(attention_probs, value_vectors) 2025-08-14T22:02:03.5030878Z 2025-08-14T22:02:03.5030983Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.5031314Z 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 2025-08-14T22:02:03.5031408Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.5031660Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.5031727Z layer_outputs = layer( 2025-08-14T22:02:03.5031985Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.5032054Z attn_outputs = self.attention( 2025-08-14T22:02:03.5032305Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.5032398Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.5032645Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward 2025-08-14T22:02:03.5032748Z out_vectors, logits, attention_probs = self._attend( 2025-08-14T22:02:03.5032999Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 931, in _attend 2025-08-14T22:02:03.5033110Z out_vectors = torch.matmul(attention_probs, value_vectors) 2025-08-14T22:02:03.5033114Z 2025-08-14T22:02:03.5033198Z cudagraph partition due to non gpu ops 2025-08-14T22:02:03.5033296Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.5033620Z 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 2025-08-14T22:02:03.5033708Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.5033960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.5034040Z layer_outputs = layer( 2025-08-14T22:02:03.5034309Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.5034382Z attn_outputs = self.attention( 2025-08-14T22:02:03.5034637Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.5034723Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.5034976Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 692, in forward 2025-08-14T22:02:03.5035167Z out_vectors = self._merge_hidden_size_dims(out_vectors, self.num_attention_heads, self.attention_head_size) 2025-08-14T22:02:03.5035458Z 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 2025-08-14T22:02:03.5035601Z return torch.reshape(x, (x.size()[0], -1, num_attn_heads * attn_head_size)) 2025-08-14T22:02:03.5035605Z 2025-08-14T22:02:03.5035702Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.5036042Z 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 2025-08-14T22:02:03.5036145Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.5036394Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.5036468Z layer_outputs = layer( 2025-08-14T22:02:03.5036715Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.5036792Z attn_outputs = self.attention( 2025-08-14T22:02:03.5037044Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1457, in forward 2025-08-14T22:02:03.5037199Z attention_output = self.output(self_attention_outputs.hidden_states) 2025-08-14T22:02:03.5037460Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1371, in forward 2025-08-14T22:02:03.5037542Z hidden_states = self.dense(hidden_states) 2025-08-14T22:02:03.5037545Z 2025-08-14T22:02:03.5037650Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.5037969Z 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 2025-08-14T22:02:03.5038055Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.5038313Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.5038380Z layer_outputs = layer( 2025-08-14T22:02:03.5038630Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1601, in forward 2025-08-14T22:02:03.5038729Z attn_output = prev_attn_output + attn_output 2025-08-14T22:02:03.5038733Z 2025-08-14T22:02:03.5038828Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.5039160Z 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 2025-08-14T22:02:03.5039244Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.5039494Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.5039566Z layer_outputs = layer( 2025-08-14T22:02:03.5039816Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward 2025-08-14T22:02:03.5039940Z hidden_states = hidden_states + self.feed_forward(attn_output) 2025-08-14T22:02:03.5040205Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward 2025-08-14T22:02:03.5040282Z return apply_chunking_to_forward( 2025-08-14T22:02:03.5040533Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-08-14T22:02:03.5040609Z return forward_fn(*input_tensors) 2025-08-14T22:02:03.5040883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1518, in forward_chunk 2025-08-14T22:02:03.5040961Z hidden_states = self.dense(hidden_states) 2025-08-14T22:02:03.5041209Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1479, in forward 2025-08-14T22:02:03.5041293Z hidden_states = self.dense(hidden_states) 2025-08-14T22:02:03.5041298Z 2025-08-14T22:02:03.5041393Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.5041705Z 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 2025-08-14T22:02:03.5041812Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.5042074Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.5042147Z layer_outputs = layer( 2025-08-14T22:02:03.5042400Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward 2025-08-14T22:02:03.5042515Z hidden_states = hidden_states + self.feed_forward(attn_output) 2025-08-14T22:02:03.5042773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward 2025-08-14T22:02:03.5042859Z return apply_chunking_to_forward( 2025-08-14T22:02:03.5043109Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-08-14T22:02:03.5043180Z return forward_fn(*input_tensors) 2025-08-14T22:02:03.5043446Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1518, in forward_chunk 2025-08-14T22:02:03.5043531Z hidden_states = self.dense(hidden_states) 2025-08-14T22:02:03.5043781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1481, in forward 2025-08-14T22:02:03.5043861Z hidden_states = self.act_fn(hidden_states) 2025-08-14T22:02:03.5043870Z 2025-08-14T22:02:03.5043967Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.5044281Z 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 2025-08-14T22:02:03.5044373Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.5044627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.5044694Z layer_outputs = layer( 2025-08-14T22:02:03.5044950Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward 2025-08-14T22:02:03.5045061Z hidden_states = hidden_states + self.feed_forward(attn_output) 2025-08-14T22:02:03.5045320Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward 2025-08-14T22:02:03.5045390Z return apply_chunking_to_forward( 2025-08-14T22:02:03.5045632Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-08-14T22:02:03.5045710Z return forward_fn(*input_tensors) 2025-08-14T22:02:03.5045979Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1519, in forward_chunk 2025-08-14T22:02:03.5046072Z return self.output(hidden_states) 2025-08-14T22:02:03.5046321Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1493, in forward 2025-08-14T22:02:03.5046402Z hidden_states = self.dense(hidden_states) 2025-08-14T22:02:03.5046405Z 2025-08-14T22:02:03.5046510Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.5046821Z 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 2025-08-14T22:02:03.5046905Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.5047160Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.5047228Z layer_outputs = layer( 2025-08-14T22:02:03.5047485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward 2025-08-14T22:02:03.5047616Z hidden_states = hidden_states + self.feed_forward(attn_output) 2025-08-14T22:02:03.5047619Z 2025-08-14T22:02:03.5047717Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.5048068Z 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 2025-08-14T22:02:03.5048154Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.5048414Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.5048479Z layer_outputs = layer( 2025-08-14T22:02:03.5048730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.5048828Z attn_outputs = self.attention( 2025-08-14T22:02:03.5049080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.5049177Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.5049430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1198, in forward 2025-08-14T22:02:03.5049511Z query_vectors = self.query(hidden_states) 2025-08-14T22:02:03.5049514Z 2025-08-14T22:02:03.5049629Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.5049942Z 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 2025-08-14T22:02:03.5050032Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.5050283Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.5050350Z layer_outputs = layer( 2025-08-14T22:02:03.5050608Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.5050679Z attn_outputs = self.attention( 2025-08-14T22:02:03.5050931Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.5051025Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.5051276Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1199, in forward 2025-08-14T22:02:03.5051357Z key_vectors = self.key(hidden_states) 2025-08-14T22:02:03.5051360Z 2025-08-14T22:02:03.5051436Z cudagraph partition due to non gpu ops 2025-08-14T22:02:03.5051515Z cudagraph partition due to non gpu ops 2025-08-14T22:02:03.5051618Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.5051949Z 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 2025-08-14T22:02:03.5052036Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.5052297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.5052360Z layer_outputs = layer( 2025-08-14T22:02:03.5052634Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.5052703Z attn_outputs = self.attention( 2025-08-14T22:02:03.5052955Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.5053050Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.5053304Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1265, in forward 2025-08-14T22:02:03.5053498Z key_vectors = self._look_adjacent(key_vectors, self.num_chunks_before, self.num_chunks_after) 2025-08-14T22:02:03.5053773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent 2025-08-14T22:02:03.5053910Z slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2)) 2025-08-14T22:02:03.5053914Z 2025-08-14T22:02:03.5053998Z cudagraph partition due to non gpu ops 2025-08-14T22:02:03.5054071Z cudagraph partition due to non gpu ops 2025-08-14T22:02:03.5054174Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.5054489Z 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 2025-08-14T22:02:03.5054589Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.5054847Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.5054911Z layer_outputs = layer( 2025-08-14T22:02:03.5055159Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.5055235Z attn_outputs = self.attention( 2025-08-14T22:02:03.5055483Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.5055574Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.5055822Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1265, in forward 2025-08-14T22:02:03.5055988Z key_vectors = self._look_adjacent(key_vectors, self.num_chunks_before, self.num_chunks_after) 2025-08-14T22:02:03.5056269Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 400, in _look_adjacent 2025-08-14T22:02:03.5056343Z return torch.cat(slices, dim=3) 2025-08-14T22:02:03.5056346Z 2025-08-14T22:02:03.5056449Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.5056764Z 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 2025-08-14T22:02:03.5056847Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.5057103Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.5057167Z layer_outputs = layer( 2025-08-14T22:02:03.5057422Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.5057492Z attn_outputs = self.attention( 2025-08-14T22:02:03.5057761Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.5057854Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.5058105Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1272, in forward 2025-08-14T22:02:03.5058246Z query_key_dots = torch.matmul(query_vectors, key_vectors.transpose(-1, -2)) 2025-08-14T22:02:03.5058256Z 2025-08-14T22:02:03.5058352Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.5058669Z 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 2025-08-14T22:02:03.5058758Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.5059009Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.5059076Z layer_outputs = layer( 2025-08-14T22:02:03.5059333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.5059417Z attn_outputs = self.attention( 2025-08-14T22:02:03.5059693Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.5059779Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.5060108Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1272, in forward 2025-08-14T22:02:03.5060256Z query_key_dots = torch.matmul(query_vectors, key_vectors.transpose(-1, -2)) 2025-08-14T22:02:03.5060259Z 2025-08-14T22:02:03.5060356Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.5060701Z 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 2025-08-14T22:02:03.5060789Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.5061042Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.5061115Z layer_outputs = layer( 2025-08-14T22:02:03.5061363Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.5061433Z attn_outputs = self.attention( 2025-08-14T22:02:03.5061692Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.5061777Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.5062035Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1200, in forward 2025-08-14T22:02:03.5062115Z value_vectors = self.value(hidden_states) 2025-08-14T22:02:03.5062120Z 2025-08-14T22:02:03.5062197Z cudagraph partition due to non gpu ops 2025-08-14T22:02:03.5062283Z cudagraph partition due to non gpu ops 2025-08-14T22:02:03.5062379Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.5062700Z 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 2025-08-14T22:02:03.5062785Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.5063031Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.5063107Z layer_outputs = layer( 2025-08-14T22:02:03.5063354Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.5063424Z attn_outputs = self.attention( 2025-08-14T22:02:03.5063699Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.5063788Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.5064046Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1266, in forward 2025-08-14T22:02:03.5064224Z value_vectors = self._look_adjacent(value_vectors, self.num_chunks_before, self.num_chunks_after) 2025-08-14T22:02:03.5064491Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent 2025-08-14T22:02:03.5064636Z slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2)) 2025-08-14T22:02:03.5064639Z 2025-08-14T22:02:03.5064715Z cudagraph partition due to non gpu ops 2025-08-14T22:02:03.5064798Z cudagraph partition due to non gpu ops 2025-08-14T22:02:03.5064897Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.5065211Z 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 2025-08-14T22:02:03.5065322Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.5065592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.5065658Z layer_outputs = layer( 2025-08-14T22:02:03.5065917Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.5065986Z attn_outputs = self.attention( 2025-08-14T22:02:03.5066246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.5066349Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.5066605Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1308, in forward 2025-08-14T22:02:03.5066722Z out_vectors = torch.matmul(attention_probs, value_vectors) 2025-08-14T22:02:03.5066725Z 2025-08-14T22:02:03.5066823Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.5067145Z 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 2025-08-14T22:02:03.5067229Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.5067477Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.5067550Z layer_outputs = layer( 2025-08-14T22:02:03.5067799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.5067876Z attn_outputs = self.attention( 2025-08-14T22:02:03.5068125Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.5068211Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.5068473Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1308, in forward 2025-08-14T22:02:03.5068580Z out_vectors = torch.matmul(attention_probs, value_vectors) 2025-08-14T22:02:03.5068583Z 2025-08-14T22:02:03.5068678Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.5069003Z 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 2025-08-14T22:02:03.5069087Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.5069344Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.5069425Z layer_outputs = layer( 2025-08-14T22:02:03.5069674Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.5069751Z attn_outputs = self.attention( 2025-08-14T22:02:03.5070000Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.5070094Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.5070343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1324, in forward 2025-08-14T22:02:03.5070536Z out_vectors = self._merge_hidden_size_dims(out_vectors, self.num_attention_heads, self.attention_head_size) 2025-08-14T22:02:03.5070836Z 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 2025-08-14T22:02:03.5070970Z return torch.reshape(x, (x.size()[0], -1, num_attn_heads * attn_head_size)) 2025-08-14T22:02:03.5070997Z 2025-08-14T22:02:03.5071102Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.5071433Z 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 2025-08-14T22:02:03.5071518Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.5071774Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.5071837Z layer_outputs = layer( 2025-08-14T22:02:03.5072091Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.5072176Z attn_outputs = self.attention( 2025-08-14T22:02:03.5072425Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1457, in forward 2025-08-14T22:02:03.5072565Z attention_output = self.output(self_attention_outputs.hidden_states) 2025-08-14T22:02:03.5072814Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1371, in forward 2025-08-14T22:02:03.5072893Z hidden_states = self.dense(hidden_states) 2025-08-14T22:02:03.5072896Z 2025-08-14T22:02:03.5072999Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.5073314Z 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 2025-08-14T22:02:03.5073403Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.5073652Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.5073717Z layer_outputs = layer( 2025-08-14T22:02:03.5073973Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward 2025-08-14T22:02:03.5074089Z hidden_states = hidden_states + self.feed_forward(attn_output) 2025-08-14T22:02:03.5074348Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward 2025-08-14T22:02:03.5074422Z return apply_chunking_to_forward( 2025-08-14T22:02:03.5074663Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-08-14T22:02:03.5074742Z return forward_fn(*input_tensors) 2025-08-14T22:02:03.5075008Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1518, in forward_chunk 2025-08-14T22:02:03.5075086Z hidden_states = self.dense(hidden_states) 2025-08-14T22:02:03.5075364Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1479, in forward 2025-08-14T22:02:03.5075445Z hidden_states = self.dense(hidden_states) 2025-08-14T22:02:03.5075448Z 2025-08-14T22:02:03.5075552Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.5075867Z 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 2025-08-14T22:02:03.5075951Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.5076211Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.5076275Z layer_outputs = layer( 2025-08-14T22:02:03.5076532Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward 2025-08-14T22:02:03.5076651Z hidden_states = hidden_states + self.feed_forward(attn_output) 2025-08-14T22:02:03.5076902Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward 2025-08-14T22:02:03.5077000Z return apply_chunking_to_forward( 2025-08-14T22:02:03.5077254Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-08-14T22:02:03.5077332Z return forward_fn(*input_tensors) 2025-08-14T22:02:03.5077602Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1518, in forward_chunk 2025-08-14T22:02:03.5077679Z hidden_states = self.dense(hidden_states) 2025-08-14T22:02:03.5077938Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1481, in forward 2025-08-14T22:02:03.5078037Z hidden_states = self.act_fn(hidden_states) 2025-08-14T22:02:03.5078041Z 2025-08-14T22:02:03.5078139Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.5078459Z 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 2025-08-14T22:02:03.5078544Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.5078804Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.5078869Z layer_outputs = layer( 2025-08-14T22:02:03.5079122Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward 2025-08-14T22:02:03.5079244Z hidden_states = hidden_states + self.feed_forward(attn_output) 2025-08-14T22:02:03.5079494Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward 2025-08-14T22:02:03.5079575Z return apply_chunking_to_forward( 2025-08-14T22:02:03.5079817Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-08-14T22:02:03.5079890Z return forward_fn(*input_tensors) 2025-08-14T22:02:03.5080166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1519, in forward_chunk 2025-08-14T22:02:03.5080237Z return self.output(hidden_states) 2025-08-14T22:02:03.5080499Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1493, in forward 2025-08-14T22:02:03.5080578Z hidden_states = self.dense(hidden_states) 2025-08-14T22:02:03.5080581Z 2025-08-14T22:02:03.5080676Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.5080999Z 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 2025-08-14T22:02:03.5081084Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.5081357Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.5081433Z layer_outputs = layer( 2025-08-14T22:02:03.5081683Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.5081760Z attn_outputs = self.attention( 2025-08-14T22:02:03.5082011Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.5082099Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.5082355Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 540, in forward 2025-08-14T22:02:03.5082444Z query_key_vectors = self.query_key(hidden_states) 2025-08-14T22:02:03.5082447Z 2025-08-14T22:02:03.5082550Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.5082866Z 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 2025-08-14T22:02:03.5082967Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.5083244Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.5083311Z layer_outputs = layer( 2025-08-14T22:02:03.5083568Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.5083638Z attn_outputs = self.attention( 2025-08-14T22:02:03.5083887Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.5083999Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.5084249Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward 2025-08-14T22:02:03.5084387Z buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask) 2025-08-14T22:02:03.5084660Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 749, in _hash_vectors 2025-08-14T22:02:03.5084837Z random_rotations = torch.randn(rotations_shape, device=vectors.device, dtype=vectors.dtype) 2025-08-14T22:02:03.5084841Z 2025-08-14T22:02:03.5084948Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.5085264Z 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 2025-08-14T22:02:03.5085351Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.5085610Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.5085676Z layer_outputs = layer( 2025-08-14T22:02:03.5085932Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.5086004Z attn_outputs = self.attention( 2025-08-14T22:02:03.5086256Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.5086349Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.5086598Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward 2025-08-14T22:02:03.5086741Z buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask) 2025-08-14T22:02:03.5087005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 751, in _hash_vectors 2025-08-14T22:02:03.5087168Z rotated_vectors = torch.einsum("bmtd,mdhr->bmhtr", vectors, random_rotations) 2025-08-14T22:02:03.5087173Z 2025-08-14T22:02:03.5087279Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.5087593Z 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 2025-08-14T22:02:03.5087685Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.5087936Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.5088001Z layer_outputs = layer( 2025-08-14T22:02:03.5088261Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.5088331Z attn_outputs = self.attention( 2025-08-14T22:02:03.5088585Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.5088695Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.5088948Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward 2025-08-14T22:02:03.5089104Z buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask) 2025-08-14T22:02:03.5089369Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 754, in _hash_vectors 2025-08-14T22:02:03.5089500Z rotated_vectors = torch.cat([rotated_vectors, -rotated_vectors], dim=-1) 2025-08-14T22:02:03.5089504Z 2025-08-14T22:02:03.5089610Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.5089923Z 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 2025-08-14T22:02:03.5090035Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.5090288Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.5090353Z layer_outputs = layer( 2025-08-14T22:02:03.5090611Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.5090680Z attn_outputs = self.attention( 2025-08-14T22:02:03.5090935Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.5091026Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.5091275Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward 2025-08-14T22:02:03.5091417Z buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask) 2025-08-14T22:02:03.5091684Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 755, in _hash_vectors 2025-08-14T22:02:03.5091775Z buckets = torch.argmax(rotated_vectors, dim=-1) 2025-08-14T22:02:03.5091778Z 2025-08-14T22:02:03.5091882Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.5092199Z 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 2025-08-14T22:02:03.5092293Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.5092548Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.5092613Z layer_outputs = layer( 2025-08-14T22:02:03.5092877Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.5092948Z attn_outputs = self.attention( 2025-08-14T22:02:03.5093257Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.5093347Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.5093597Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 587, in forward 2025-08-14T22:02:03.5093787Z sorted_bucket_idx, undo_sorted_bucket_idx = self._get_sorted_bucket_idx_and_undo_sorted_bucket_idx( 2025-08-14T22:02:03.5094123Z 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 2025-08-14T22:02:03.5094231Z sorted_bucket_idx = _stable_argsort(buckets, dim=-1) 2025-08-14T22:02:03.5094503Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 182, in _stable_argsort 2025-08-14T22:02:03.5094648Z scaled_vector = vector.shape[dim] * vector + (scale_offset % vector.shape[dim]) 2025-08-14T22:02:03.5094669Z 2025-08-14T22:02:03.5094757Z cudagraph partition due to non gpu ops 2025-08-14T22:02:03.5094854Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.5095181Z 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 2025-08-14T22:02:03.5095276Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.5095526Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.5095600Z layer_outputs = layer( 2025-08-14T22:02:03.5095851Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.5095940Z attn_outputs = self.attention( 2025-08-14T22:02:03.5096200Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.5096287Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.5096547Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 587, in forward 2025-08-14T22:02:03.5096723Z sorted_bucket_idx, undo_sorted_bucket_idx = self._get_sorted_bucket_idx_and_undo_sorted_bucket_idx( 2025-08-14T22:02:03.5097061Z 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 2025-08-14T22:02:03.5097171Z sorted_bucket_idx = _stable_argsort(buckets, dim=-1) 2025-08-14T22:02:03.5097443Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 183, in _stable_argsort 2025-08-14T22:02:03.5097541Z return torch.argsort(scaled_vector, dim=dim) 2025-08-14T22:02:03.5097546Z 2025-08-14T22:02:03.5097627Z cudagraph partition due to non gpu ops 2025-08-14T22:02:03.5097704Z cudagraph partition due to non gpu ops 2025-08-14T22:02:03.5097808Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.5098124Z 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 2025-08-14T22:02:03.5098210Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.5098469Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.5098533Z layer_outputs = layer( 2025-08-14T22:02:03.5098790Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.5098862Z attn_outputs = self.attention( 2025-08-14T22:02:03.5099125Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.5099225Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.5099483Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward 2025-08-14T22:02:03.5099590Z out_vectors, logits, attention_probs = self._attend( 2025-08-14T22:02:03.5099912Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 859, in _attend 2025-08-14T22:02:03.5100116Z key_value_bucket_idx = self._look_adjacent(query_bucket_idx, self.num_chunks_before, self.num_chunks_after) 2025-08-14T22:02:03.5100393Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent 2025-08-14T22:02:03.5100537Z slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2)) 2025-08-14T22:02:03.5100541Z 2025-08-14T22:02:03.5100625Z cudagraph partition due to non gpu ops 2025-08-14T22:02:03.5100721Z cudagraph partition due to non gpu ops 2025-08-14T22:02:03.5100819Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.5101158Z 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 2025-08-14T22:02:03.5101245Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.5101494Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.5101567Z layer_outputs = layer( 2025-08-14T22:02:03.5101817Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.5101910Z attn_outputs = self.attention( 2025-08-14T22:02:03.5102168Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.5102257Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.5102521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward 2025-08-14T22:02:03.5102620Z out_vectors, logits, attention_probs = self._attend( 2025-08-14T22:02:03.5102879Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 859, in _attend 2025-08-14T22:02:03.5103076Z key_value_bucket_idx = self._look_adjacent(query_bucket_idx, self.num_chunks_before, self.num_chunks_after) 2025-08-14T22:02:03.5103352Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 400, in _look_adjacent 2025-08-14T22:02:03.5103435Z return torch.cat(slices, dim=3) 2025-08-14T22:02:03.5103438Z 2025-08-14T22:02:03.5103516Z cudagraph partition due to non gpu ops 2025-08-14T22:02:03.5103615Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.5103946Z 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 2025-08-14T22:02:03.5104033Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.5104299Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.5104363Z layer_outputs = layer( 2025-08-14T22:02:03.5104620Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.5104698Z attn_outputs = self.attention( 2025-08-14T22:02:03.5104955Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.5105064Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.5105313Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 541, in forward 2025-08-14T22:02:03.5105391Z value_vectors = self.value(hidden_states) 2025-08-14T22:02:03.5105394Z 2025-08-14T22:02:03.5105497Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.5105813Z 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 2025-08-14T22:02:03.5105903Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.5106306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.5106379Z layer_outputs = layer( 2025-08-14T22:02:03.5106641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.5106715Z attn_outputs = self.attention( 2025-08-14T22:02:03.5107016Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.5107145Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.5107398Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward 2025-08-14T22:02:03.5107502Z out_vectors, logits, attention_probs = self._attend( 2025-08-14T22:02:03.5107750Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 844, in _attend 2025-08-14T22:02:03.5107917Z key_vectors = self._look_adjacent(key_vectors, self.num_chunks_before, self.num_chunks_after) 2025-08-14T22:02:03.5108217Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent 2025-08-14T22:02:03.5108357Z slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2)) 2025-08-14T22:02:03.5108362Z 2025-08-14T22:02:03.5108447Z cudagraph partition due to non gpu ops 2025-08-14T22:02:03.5108545Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.5108860Z 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 2025-08-14T22:02:03.5108954Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.5109207Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.5109278Z layer_outputs = layer( 2025-08-14T22:02:03.5109529Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.5109603Z attn_outputs = self.attention( 2025-08-14T22:02:03.5109863Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.5109951Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.5110203Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward 2025-08-14T22:02:03.5110306Z out_vectors, logits, attention_probs = self._attend( 2025-08-14T22:02:03.5110552Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 844, in _attend 2025-08-14T22:02:03.5110723Z key_vectors = self._look_adjacent(key_vectors, self.num_chunks_before, self.num_chunks_after) 2025-08-14T22:02:03.5110990Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 400, in _look_adjacent 2025-08-14T22:02:03.5111064Z return torch.cat(slices, dim=3) 2025-08-14T22:02:03.5111068Z 2025-08-14T22:02:03.5111200Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.5111522Z 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 2025-08-14T22:02:03.5111615Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.5111866Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.5111931Z layer_outputs = layer( 2025-08-14T22:02:03.5112188Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.5112260Z attn_outputs = self.attention( 2025-08-14T22:02:03.5112513Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.5112607Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.5112855Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 595, in forward 2025-08-14T22:02:03.5113082Z query_key_vectors = self._gather_by_expansion(query_key_vectors, sorted_bucket_idx_per_hash, num_hashes) 2025-08-14T22:02:03.5113373Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1099, in _gather_by_expansion 2025-08-14T22:02:03.5113465Z return torch.gather(vectors, 2, expanded_idxs) 2025-08-14T22:02:03.5113477Z 2025-08-14T22:02:03.5113576Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.5113897Z 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 2025-08-14T22:02:03.5114013Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.5114270Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.5114336Z layer_outputs = layer( 2025-08-14T22:02:03.5114599Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.5114670Z attn_outputs = self.attention( 2025-08-14T22:02:03.5114933Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.5115018Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.5115269Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward 2025-08-14T22:02:03.5115373Z out_vectors, logits, attention_probs = self._attend( 2025-08-14T22:02:03.5115625Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 849, in _attend 2025-08-14T22:02:03.5115771Z query_key_dots = torch.matmul(query_vectors, key_vectors.transpose(-1, -2)) 2025-08-14T22:02:03.5115776Z 2025-08-14T22:02:03.5115873Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.5116193Z 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 2025-08-14T22:02:03.5116283Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.5116546Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.5116611Z layer_outputs = layer( 2025-08-14T22:02:03.5116870Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.5116945Z attn_outputs = self.attention( 2025-08-14T22:02:03.5117225Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.5117314Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.5117564Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward 2025-08-14T22:02:03.5117665Z out_vectors, logits, attention_probs = self._attend( 2025-08-14T22:02:03.5117914Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 845, in _attend 2025-08-14T22:02:03.5118098Z value_vectors = self._look_adjacent(value_vectors, self.num_chunks_before, self.num_chunks_after) 2025-08-14T22:02:03.5118365Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent 2025-08-14T22:02:03.5118504Z slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2)) 2025-08-14T22:02:03.5118508Z 2025-08-14T22:02:03.5118593Z cudagraph partition due to non gpu ops 2025-08-14T22:02:03.5118706Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.5119042Z 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 2025-08-14T22:02:03.5119130Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.5119378Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.5119452Z layer_outputs = layer( 2025-08-14T22:02:03.5119698Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.5119768Z attn_outputs = self.attention( 2025-08-14T22:02:03.5120039Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.5120126Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.5120386Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward 2025-08-14T22:02:03.5120482Z out_vectors, logits, attention_probs = self._attend( 2025-08-14T22:02:03.5120730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 931, in _attend 2025-08-14T22:02:03.5120847Z out_vectors = torch.matmul(attention_probs, value_vectors) 2025-08-14T22:02:03.5120850Z 2025-08-14T22:02:03.5120946Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.5121265Z 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 2025-08-14T22:02:03.5121351Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.5121600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.5121674Z layer_outputs = layer( 2025-08-14T22:02:03.5121920Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.5121997Z attn_outputs = self.attention( 2025-08-14T22:02:03.5122244Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.5122328Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.5122579Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward 2025-08-14T22:02:03.5122674Z out_vectors, logits, attention_probs = self._attend( 2025-08-14T22:02:03.5122921Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 931, in _attend 2025-08-14T22:02:03.5123053Z out_vectors = torch.matmul(attention_probs, value_vectors) 2025-08-14T22:02:03.5123058Z 2025-08-14T22:02:03.5123135Z cudagraph partition due to non gpu ops 2025-08-14T22:02:03.5123238Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.5123550Z 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 2025-08-14T22:02:03.5123637Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.5123893Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.5123958Z layer_outputs = layer( 2025-08-14T22:02:03.5124210Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.5124281Z attn_outputs = self.attention( 2025-08-14T22:02:03.5124529Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:02:03.5124672Z self_attention_outputs = self.self_attention( 2025-08-14T22:02:03.5124940Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 692, in forward 2025-08-14T22:02:03.5125135Z out_vectors = self._merge_hidden_size_dims(out_vectors, self.num_attention_heads, self.attention_head_size) 2025-08-14T22:02:03.5125434Z 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 2025-08-14T22:02:03.5125568Z return torch.reshape(x, (x.size()[0], -1, num_attn_heads * attn_head_size)) 2025-08-14T22:02:03.5125572Z 2025-08-14T22:02:03.5125692Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.5126006Z 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 2025-08-14T22:02:03.5126095Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.5126348Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.5126413Z layer_outputs = layer( 2025-08-14T22:02:03.5126668Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:02:03.5126739Z attn_outputs = self.attention( 2025-08-14T22:02:03.5126986Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1457, in forward 2025-08-14T22:02:03.5127125Z attention_output = self.output(self_attention_outputs.hidden_states) 2025-08-14T22:02:03.5127377Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1371, in forward 2025-08-14T22:02:03.5127464Z hidden_states = self.dense(hidden_states) 2025-08-14T22:02:03.5127468Z 2025-08-14T22:02:03.5127563Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.5127875Z 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 2025-08-14T22:02:03.5127968Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.5128217Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.5128288Z layer_outputs = layer( 2025-08-14T22:02:03.5128538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward 2025-08-14T22:02:03.5128655Z hidden_states = hidden_states + self.feed_forward(attn_output) 2025-08-14T22:02:03.5128925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward 2025-08-14T22:02:03.5129002Z return apply_chunking_to_forward( 2025-08-14T22:02:03.5129244Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-08-14T22:02:03.5129327Z return forward_fn(*input_tensors) 2025-08-14T22:02:03.5129590Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1518, in forward_chunk 2025-08-14T22:02:03.5129678Z hidden_states = self.dense(hidden_states) 2025-08-14T22:02:03.5129927Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1479, in forward 2025-08-14T22:02:03.5130003Z hidden_states = self.dense(hidden_states) 2025-08-14T22:02:03.5130008Z 2025-08-14T22:02:03.5130113Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.5130427Z 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 2025-08-14T22:02:03.5130536Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.5130802Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.5130868Z layer_outputs = layer( 2025-08-14T22:02:03.5131122Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward 2025-08-14T22:02:03.5131237Z hidden_states = hidden_states + self.feed_forward(attn_output) 2025-08-14T22:02:03.5131489Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward 2025-08-14T22:02:03.5131584Z return apply_chunking_to_forward( 2025-08-14T22:02:03.5131826Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-08-14T22:02:03.5131906Z return forward_fn(*input_tensors) 2025-08-14T22:02:03.5132172Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1518, in forward_chunk 2025-08-14T22:02:03.5132251Z hidden_states = self.dense(hidden_states) 2025-08-14T22:02:03.5132508Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1481, in forward 2025-08-14T22:02:03.5132587Z hidden_states = self.act_fn(hidden_states) 2025-08-14T22:02:03.5132590Z 2025-08-14T22:02:03.5132694Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.5133007Z 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 2025-08-14T22:02:03.5133093Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.5133353Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.5133419Z layer_outputs = layer( 2025-08-14T22:02:03.5133677Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward 2025-08-14T22:02:03.5133790Z hidden_states = hidden_states + self.feed_forward(attn_output) 2025-08-14T22:02:03.5134039Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward 2025-08-14T22:02:03.5134122Z return apply_chunking_to_forward( 2025-08-14T22:02:03.5134365Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-08-14T22:02:03.5134436Z return forward_fn(*input_tensors) 2025-08-14T22:02:03.5134712Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1519, in forward_chunk 2025-08-14T22:02:03.5134800Z return self.output(hidden_states) 2025-08-14T22:02:03.5135059Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1493, in forward 2025-08-14T22:02:03.5135139Z hidden_states = self.dense(hidden_states) 2025-08-14T22:02:03.5135142Z 2025-08-14T22:02:03.5135238Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.5135562Z 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 2025-08-14T22:02:03.5135647Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.5135903Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:02:03.5135969Z layer_outputs = layer( 2025-08-14T22:02:03.5136221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward 2025-08-14T22:02:03.5136357Z hidden_states = hidden_states + self.feed_forward(attn_output) 2025-08-14T22:02:03.5136360Z 2025-08-14T22:02:03.5136456Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:03.5136820Z 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 2025-08-14T22:02:03.5136908Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:02:03.5137155Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1753, in forward 2025-08-14T22:02:03.5137263Z return torch.cat([attn_output, hidden_states], dim=-1) 2025-08-14T22:02:03.5137267Z 2025-08-14T22:02:06.8471997Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:02:06.8472904Z 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 2025-08-14T22:02:06.8473434Z logits = self.lm_head(sequence_output) 2025-08-14T22:02:06.8473851Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1886, in forward 2025-08-14T22:02:06.8474397Z return apply_chunking_to_forward(self.forward_chunk, self.chunk_size_lm_head, self.seq_len_dim, hidden_states) 2025-08-14T22:02:06.8474925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-08-14T22:02:06.8475324Z return forward_fn(*input_tensors) 2025-08-14T22:02:06.8475762Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1889, in forward_chunk 2025-08-14T22:02:06.8476197Z hidden_states = self.decoder(hidden_states) 2025-08-14T22:02:06.8476349Z 2025-08-14T22:02:07.0761360Z Compilation time (from dynamo_timed): 17.526649352 2025-08-14T22:02:07.0761779Z pass 2025-08-14T22:02:07.0762132Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T22:02:07.0762988Z TIMING: gc:0.01238 entire_frame_compile:17.52665 _recursive_pre_grad_passes:0.0132 _recursive_joint_graph_passes:0.32428 _recursive_post_grad_passes:0.07302 async_compile.wait:3.07285 code_gen:11.08165 inductor_compile:13.00016 backend_compile:14.81043 total_wall_time:17.52665 2025-08-14T22:02:07.0763906Z STATS: call_* op count: 478 | FakeTensorMode.__torch_dispatch__:12298 | ProxyTorchDispatchMode.__torch_dispatch__:4316 | FakeTensor.__torch_dispatch__:4032 2025-08-14T22:02:07.0764392Z Dynamo produced 7 graphs covering 478 ops with 8 graph breaks (4 unique) 2025-08-14T22:02:11.1867732Z 2025-08-14T22:02:11.7792509Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:02:11.7793501Z 2025-08-14T22:02:11.7834219Z config.json: 0% 0.00/615 [00:00> $GITHUB_ENV 2025-08-14T22:05:59.8113439Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV 2025-08-14T22:05:59.8121310Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:05:59.8121541Z env: 2025-08-14T22:05:59.8121693Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:05:59.8121972Z DOCKER_CONTAINER_ID: 2b4d07f6e07de63cea1adeedb8e52683d6256766250063416b03ad5880eb8286 2025-08-14T22:05:59.8122264Z ##[endgroup] 2025-08-14T22:05:59.8153397Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-08-14T22:05:59.9928447Z Defaulting to user installation because normal site-packages is not writeable 2025-08-14T22:06:00.7089279Z Collecting boto3==1.35.33 2025-08-14T22:06:00.7233045Z Downloading boto3-1.35.33-py3-none-any.whl (139 kB) 2025-08-14T22:06:00.9326087Z Collecting psutil==7.0.0 2025-08-14T22:06:00.9360706Z Downloading psutil-7.0.0-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (277 kB) 2025-08-14T22:06:00.9592900Z Collecting pynvml==12.0.0 2025-08-14T22:06:00.9631671Z Downloading pynvml-12.0.0-py3-none-any.whl (26 kB) 2025-08-14T22:06:01.7163098Z Collecting botocore<1.36.0,>=1.35.33 2025-08-14T22:06:01.7200973Z Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB) 2025-08-14T22:06:01.8312757Z Collecting s3transfer<0.11.0,>=0.10.0 2025-08-14T22:06:01.8360430Z Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB) 2025-08-14T22:06:01.8401983Z Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /usr/lib/python3.9/site-packages (from boto3==1.35.33) (0.10.0) 2025-08-14T22:06:01.8727028Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0 2025-08-14T22:06:01.8758098Z Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB) 2025-08-14T22:06:01.8828733Z Requirement already satisfied: python-dateutil<3.0.0,>=2.1 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (2.8.1) 2025-08-14T22:06:01.8835559Z Requirement already satisfied: urllib3<1.27,>=1.25.4 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (1.25.10) 2025-08-14T22:06:02.0217147Z Requirement already satisfied: six>=1.5 in /usr/lib/python3.9/site-packages (from python-dateutil<3.0.0,>=2.1->botocore<1.36.0,>=1.35.33->boto3==1.35.33) (1.15.0) 2025-08-14T22:06:02.1190858Z Installing collected packages: botocore, s3transfer, nvidia-ml-py, pynvml, psutil, boto3 2025-08-14T22:06:02.4464962Z Attempting uninstall: nvidia-ml-py 2025-08-14T22:06:02.4469009Z Found existing installation: nvidia-ml-py 11.525.84 2025-08-14T22:06:02.4476005Z Uninstalling nvidia-ml-py-11.525.84: 2025-08-14T22:06:02.4595506Z Successfully uninstalled nvidia-ml-py-11.525.84 2025-08-14T22:06:02.5055051Z Attempting uninstall: psutil 2025-08-14T22:06:02.5056965Z Found existing installation: psutil 5.9.8 2025-08-14T22:06:02.5097687Z Uninstalling psutil-5.9.8: 2025-08-14T22:06:02.5099982Z Successfully uninstalled psutil-5.9.8 2025-08-14T22:06:02.6333699Z Successfully installed boto3-1.35.33 botocore-1.35.99 nvidia-ml-py-12.575.51 psutil-7.0.0 pynvml-12.0.0 s3transfer-0.10.4 2025-08-14T22:06:02.7396013Z + DEVICE_NAME= 2025-08-14T22:06:02.7397779Z + DEVICE_TYPE= 2025-08-14T22:06:02.7397978Z + command -v nvidia-smi 2025-08-14T22:06:02.7398163Z + command -v rocminfo 2025-08-14T22:06:02.7398433Z + echo DEVICE_NAME= 2025-08-14T22:06:02.7398588Z + echo DEVICE_TYPE= 2025-08-14T22:06:02.7421151Z ##[group]Run set -eux 2025-08-14T22:06:02.7421327Z set -eux 2025-08-14T22:06:02.7421480Z  2025-08-14T22:06:02.7421644Z if [[ -z "${GITHUB_TOKEN}" ]]; then 2025-08-14T22:06:02.7421867Z  echo "Missing github-token input" 2025-08-14T22:06:02.7422068Z  exit 1 2025-08-14T22:06:02.7422227Z fi 2025-08-14T22:06:02.7426378Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:06:02.7426614Z env: 2025-08-14T22:06:02.7426765Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:06:02.7427047Z DOCKER_CONTAINER_ID: 2b4d07f6e07de63cea1adeedb8e52683d6256766250063416b03ad5880eb8286 2025-08-14T22:06:02.7427337Z DEVICE_NAME: 2025-08-14T22:06:02.7427489Z DEVICE_TYPE: 2025-08-14T22:06:02.7427840Z GITHUB_TOKEN: *** 2025-08-14T22:06:02.7427992Z ##[endgroup] 2025-08-14T22:06:02.7451346Z + [[ -z *** ]] 2025-08-14T22:06:02.7501006Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main 2025-08-14T22:06:02.7501427Z with: 2025-08-14T22:06:02.7501817Z github-token: *** 2025-08-14T22:06:02.7502046Z env: 2025-08-14T22:06:02.7502254Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:06:02.7502704Z DOCKER_CONTAINER_ID: 2b4d07f6e07de63cea1adeedb8e52683d6256766250063416b03ad5880eb8286 2025-08-14T22:06:02.7503301Z DEVICE_NAME: 2025-08-14T22:06:02.7503516Z DEVICE_TYPE: 2025-08-14T22:06:02.7503752Z ##[endgroup] 2025-08-14T22:06:02.7523573Z ##[group]Run set -eux 2025-08-14T22:06:02.7523884Z set -eux 2025-08-14T22:06:02.7524087Z  2025-08-14T22:06:02.7524635Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-08-14T22:06:02.7530036Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:06:02.7530412Z env: 2025-08-14T22:06:02.7530629Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:06:02.7531083Z DOCKER_CONTAINER_ID: 2b4d07f6e07de63cea1adeedb8e52683d6256766250063416b03ad5880eb8286 2025-08-14T22:06:02.7531552Z DEVICE_NAME: 2025-08-14T22:06:02.7531777Z DEVICE_TYPE: 2025-08-14T22:06:02.7532177Z GITHUB_TOKEN: *** 2025-08-14T22:06:02.7532405Z ##[endgroup] 2025-08-14T22:06:02.7558737Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 16976255153 i-0b1f618372e104b9b 2025-08-14T22:06:03.6421020Z setting job-id=48128039099 2025-08-14T22:06:03.6425334Z setting job-name=linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx) 2025-08-14T22:06:03.6530939Z ##[group]Run set -eux 2025-08-14T22:06:03.6531149Z set -eux 2025-08-14T22:06:03.6531306Z  2025-08-14T22:06:03.6531551Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \ 2025-08-14T22:06:03.6531854Z  --schema-version "${SCHEMA_VERSION}" \ 2025-08-14T22:06:03.6532073Z  --repo "${REPO}" \ 2025-08-14T22:06:03.6532270Z  --head-branch "${HEAD_BRANCH}" \ 2025-08-14T22:06:03.6532472Z  --head-sha "${HEAD_SHA}" \ 2025-08-14T22:06:03.6532687Z  --workflow-id "${WORKFLOW_RUN_ID}" \ 2025-08-14T22:06:03.6532902Z  --run-attempt "${RUN_ATTEMPT}" \ 2025-08-14T22:06:03.6533102Z  --job-id "${JOB_ID}" \ 2025-08-14T22:06:03.6533295Z  --job-name "${JOB_NAME}" 2025-08-14T22:06:03.6537714Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:06:03.6537942Z env: 2025-08-14T22:06:03.6538093Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:06:03.6538379Z DOCKER_CONTAINER_ID: 2b4d07f6e07de63cea1adeedb8e52683d6256766250063416b03ad5880eb8286 2025-08-14T22:06:03.6538677Z DEVICE_NAME: 2025-08-14T22:06:03.6538821Z DEVICE_TYPE: 2025-08-14T22:06:03.6538975Z SCHEMA_VERSION: v3 2025-08-14T22:06:03.6539143Z REPO: pytorch/pytorch 2025-08-14T22:06:03.6539311Z HEAD_BRANCH: refs/heads/main 2025-08-14T22:06:03.6539517Z HEAD_SHA: 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T22:06:03.6539730Z WORKFLOW_RUN_ID: 16976255153 2025-08-14T22:06:03.6540022Z RUN_ATTEMPT: 1 2025-08-14T22:06:03.6540171Z JOB_ID: 48128039099 2025-08-14T22:06:03.6540491Z JOB_NAME: linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx) 2025-08-14T22:06:03.6540817Z ##[endgroup] 2025-08-14T22:06:03.6568529Z + 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 1fc683cf17c8c673044538d10266c00f92987be2 --workflow-id 16976255153 --run-attempt 1 --job-id 48128039099 --job-name 'linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)' 2025-08-14T22:06:03.6825585Z ##[group]Run set -eux 2025-08-14T22:06:03.6825787Z set -eux 2025-08-14T22:06:03.6825942Z  2025-08-14T22:06:03.6826182Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py" 2025-08-14T22:06:03.6830519Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:06:03.6830753Z env: 2025-08-14T22:06:03.6830899Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:06:03.6831183Z DOCKER_CONTAINER_ID: 2b4d07f6e07de63cea1adeedb8e52683d6256766250063416b03ad5880eb8286 2025-08-14T22:06:03.6831583Z DEVICE_NAME: 2025-08-14T22:06:03.6831752Z DEVICE_TYPE: 2025-08-14T22:06:03.6831899Z ##[endgroup] 2025-08-14T22:06:03.6858512Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py 2025-08-14T22:06:03.7160216Z INFO:root:Fail to import torch to get the device name 2025-08-14T22:06:03.7262616Z ##[group]Run set -eux 2025-08-14T22:06:03.7262899Z set -eux 2025-08-14T22:06:03.7263120Z  2025-08-14T22:06:03.7263366Z # TODO (huydhn): Implement this part 2025-08-14T22:06:03.7263735Z echo "dependencies={}" >> "${GITHUB_OUTPUT}" 2025-08-14T22:06:03.7269231Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:06:03.7269465Z env: 2025-08-14T22:06:03.7269625Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:06:03.7269913Z DOCKER_CONTAINER_ID: 2b4d07f6e07de63cea1adeedb8e52683d6256766250063416b03ad5880eb8286 2025-08-14T22:06:03.7270224Z DEVICE_NAME: 2025-08-14T22:06:03.7270509Z DEVICE_TYPE: 2025-08-14T22:06:03.7270663Z ##[endgroup] 2025-08-14T22:06:03.7291600Z + echo 'dependencies={}' 2025-08-14T22:06:03.7315035Z ##[group]Run set -eux 2025-08-14T22:06:03.7315243Z set -eux 2025-08-14T22:06:03.7315394Z  2025-08-14T22:06:03.7315573Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then 2025-08-14T22:06:03.7315839Z  echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping" 2025-08-14T22:06:03.7316121Z  # We don't want the job to fail if the directory doesn't exist 2025-08-14T22:06:03.7316350Z  exit 0 2025-08-14T22:06:03.7316501Z fi 2025-08-14T22:06:03.7316635Z  2025-08-14T22:06:03.7316792Z if [[ "${DRY_RUN}" == "true" ]]; then 2025-08-14T22:06:03.7317076Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-08-14T22:06:03.7317392Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-08-14T22:06:03.7317660Z  --metadata "${BENCHMARK_METADATA}" \ 2025-08-14T22:06:03.7317881Z  --runners "${RUNNER_INFO}" \ 2025-08-14T22:06:03.7318096Z  --dependencies "${DEPENDENCIES}" \ 2025-08-14T22:06:03.7318297Z  --dry-run 2025-08-14T22:06:03.7318460Z else 2025-08-14T22:06:03.7318687Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-08-14T22:06:03.7318990Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-08-14T22:06:03.7319238Z  --metadata "${BENCHMARK_METADATA}" \ 2025-08-14T22:06:03.7319447Z  --runners "${RUNNER_INFO}" \ 2025-08-14T22:06:03.7319651Z  --dependencies "${DEPENDENCIES}" 2025-08-14T22:06:03.7332599Z fi 2025-08-14T22:06:03.7336416Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:06:03.7336652Z env: 2025-08-14T22:06:03.7336810Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:06:03.7337109Z DOCKER_CONTAINER_ID: 2b4d07f6e07de63cea1adeedb8e52683d6256766250063416b03ad5880eb8286 2025-08-14T22:06:03.7337403Z DEVICE_NAME: 2025-08-14T22:06:03.7337559Z DEVICE_TYPE: 2025-08-14T22:06:03.7337734Z BENCHMARK_RESULTS_DIR: test/test-reports 2025-08-14T22:06:03.7337931Z DRY_RUN: false 2025-08-14T22:06:03.7338680Z BENCHMARK_METADATA: {"timestamp": 1755209163, "schema_version": "v3", "name": "linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "1fc683cf17c8c673044538d10266c00f92987be2", "workflow_id": 16976255153, "run_attempt": 1, "job_id": 48128039099} 2025-08-14T22:06:03.7339625Z RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 32, "avail_mem_in_gb": 123, "extra_info": {"hostname": "ip-10-0-23-145.ec2.internal"}, "name": "", "type": ""}] 2025-08-14T22:06:03.7340091Z DEPENDENCIES: {} 2025-08-14T22:06:03.7340248Z ##[endgroup] 2025-08-14T22:06:03.7360760Z + [[ ! -d test/test-reports ]] 2025-08-14T22:06:03.7365177Z + [[ false == \t\r\u\e ]] 2025-08-14T22:06:03.7368539Z + 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": 1755209163, "schema_version": "v3", "name": "linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "1fc683cf17c8c673044538d10266c00f92987be2", "workflow_id": 16976255153, "run_attempt": 1, "job_id": 48128039099}' --runners '[{"cpu_info": "x86_64", "cpu_count": 32, "avail_mem_in_gb": 123, "extra_info": {"hostname": "ip-10-0-23-145.ec2.internal"}, "name": "", "type": ""}]' --dependencies '{}' 2025-08-14T22:06:03.8451780Z INFO:root:Upload test/test-reports/inference_torchbench.json to s3://ossci-benchmarks/v3/pytorch/pytorch/16976255153/48128039099/inference_torchbench.json 2025-08-14T22:06:03.8718519Z INFO:botocore.credentials:Found credentials from IAM Role: gh-ci-github-action-runners-runner-role 2025-08-14T22:06:04.0840836Z ##[group]Run cat test/**/*_toprint.log || true 2025-08-14T22:06:04.0841102Z cat test/**/*_toprint.log || true 2025-08-14T22:06:04.0845604Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:06:04.0845825Z env: 2025-08-14T22:06:04.0845975Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:06:04.0846257Z DOCKER_CONTAINER_ID: 2b4d07f6e07de63cea1adeedb8e52683d6256766250063416b03ad5880eb8286 2025-08-14T22:06:04.0846547Z DEVICE_NAME: 2025-08-14T22:06:04.0846702Z DEVICE_TYPE: 2025-08-14T22:06:04.0846851Z ##[endgroup] 2025-08-14T22:06:04.0918198Z cat: 'test/**/*_toprint.log': No such file or directory 2025-08-14T22:06:04.0946572Z ##[group]Run kill "$MONITOR_SCRIPT_PID" 2025-08-14T22:06:04.0946806Z kill "$MONITOR_SCRIPT_PID" 2025-08-14T22:06:04.0950597Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:06:04.0950836Z env: 2025-08-14T22:06:04.0950987Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:06:04.0951286Z DOCKER_CONTAINER_ID: 2b4d07f6e07de63cea1adeedb8e52683d6256766250063416b03ad5880eb8286 2025-08-14T22:06:04.0951570Z DEVICE_NAME: 2025-08-14T22:06:04.0951727Z DEVICE_TYPE: 2025-08-14T22:06:04.0951881Z MONITOR_SCRIPT_PID: 47868 2025-08-14T22:06:04.0952048Z ##[endgroup] 2025-08-14T22:06:04.1041851Z Prepare all required actions 2025-08-14T22:06:04.1042259Z Getting action download info 2025-08-14T22:06:04.2202786Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-08-14T22:06:04.4967965Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02) 2025-08-14T22:06:05.0037484Z ##[group]Run ./.github/actions/upload-test-artifacts 2025-08-14T22:06:05.0037750Z with: 2025-08-14T22:06:05.0038024Z file-suffix: test-cpu_inductor_torchbench-1-2-linux.8xlarge.amx_48128039099 2025-08-14T22:06:05.0038372Z s3-bucket: gha-artifacts 2025-08-14T22:06:05.0038562Z env: 2025-08-14T22:06:05.0038712Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:06:05.0038989Z DOCKER_CONTAINER_ID: 2b4d07f6e07de63cea1adeedb8e52683d6256766250063416b03ad5880eb8286 2025-08-14T22:06:05.0039288Z DEVICE_NAME: 2025-08-14T22:06:05.0039441Z DEVICE_TYPE: 2025-08-14T22:06:05.0039581Z ##[endgroup] 2025-08-14T22:06:05.0063149Z ##[group]Run # Remove any previous test jsons if they exist 2025-08-14T22:06:05.0063455Z # Remove any previous test jsons if they exist 2025-08-14T22:06:05.0063679Z rm -f test-jsons-*.zip 2025-08-14T22:06:05.0063938Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json' 2025-08-14T22:06:05.0068144Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:06:05.0068361Z env: 2025-08-14T22:06:05.0068513Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:06:05.0068799Z DOCKER_CONTAINER_ID: 2b4d07f6e07de63cea1adeedb8e52683d6256766250063416b03ad5880eb8286 2025-08-14T22:06:05.0069155Z DEVICE_NAME: 2025-08-14T22:06:05.0069311Z DEVICE_TYPE: 2025-08-14T22:06:05.0069550Z FILE_SUFFIX: test-cpu_inductor_torchbench-1-2-linux.8xlarge.amx_48128039099 2025-08-14T22:06:05.0069819Z ##[endgroup] 2025-08-14T22:06:05.0236207Z adding: test/test-reports/inference_torchbench.json (deflated 99%) 2025-08-14T22:06:05.0266116Z ##[group]Run # Remove any previous test reports if they exist 2025-08-14T22:06:05.0266418Z # Remove any previous test reports if they exist 2025-08-14T22:06:05.0266660Z rm -f test-reports-*.zip 2025-08-14T22:06:05.0266952Z zip -r "test-reports-${FILE_SUFFIX}.zip" test/test-reports -i '*.xml' -i '*.csv' 2025-08-14T22:06:05.0271180Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:06:05.0271409Z env: 2025-08-14T22:06:05.0271557Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:06:05.0271837Z DOCKER_CONTAINER_ID: 2b4d07f6e07de63cea1adeedb8e52683d6256766250063416b03ad5880eb8286 2025-08-14T22:06:05.0272139Z DEVICE_NAME: 2025-08-14T22:06:05.0272289Z DEVICE_TYPE: 2025-08-14T22:06:05.0272519Z FILE_SUFFIX: test-cpu_inductor_torchbench-1-2-linux.8xlarge.amx_48128039099 2025-08-14T22:06:05.0272783Z ##[endgroup] 2025-08-14T22:06:05.0321730Z adding: test/test-reports/inference_torchbench.csv (deflated 60%) 2025-08-14T22:06:05.0327747Z adding: test/test-reports/inference_torchbench_graph_breaks.csv (deflated 94%) 2025-08-14T22:06:05.0329435Z adding: test/test-reports/inference_torchbench_graph_break_deduped.csv (deflated 80%) 2025-08-14T22:06:05.0356113Z ##[group]Run # Remove any previous usage logs if they exist 2025-08-14T22:06:05.0356409Z # Remove any previous usage logs if they exist 2025-08-14T22:06:05.0356645Z rm -f logs-*.zip 2025-08-14T22:06:05.0356862Z zip "logs-${FILE_SUFFIX}.zip" 'usage_log.txt' || true 2025-08-14T22:06:05.0357168Z zip -r "logs-${FILE_SUFFIX}.zip" test/test-reports -i '*.log' || true 2025-08-14T22:06:05.0360899Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:06:05.0361126Z env: 2025-08-14T22:06:05.0361273Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:06:05.0361568Z DOCKER_CONTAINER_ID: 2b4d07f6e07de63cea1adeedb8e52683d6256766250063416b03ad5880eb8286 2025-08-14T22:06:05.0361875Z DEVICE_NAME: 2025-08-14T22:06:05.0362025Z DEVICE_TYPE: 2025-08-14T22:06:05.0362398Z FILE_SUFFIX: test-cpu_inductor_torchbench-1-2-linux.8xlarge.amx_48128039099 2025-08-14T22:06:05.0362676Z ##[endgroup] 2025-08-14T22:06:05.0430328Z adding: usage_log.txt (deflated 97%) 2025-08-14T22:06:05.0441703Z 2025-08-14T22:06:05.0444429Z zip error: Nothing to do! (logs-test-cpu_inductor_torchbench-1-2-linux.8xlarge.amx_48128039099.zip) 2025-08-14T22:06:05.0470714Z ##[group]Run # Remove any previous debugging artifacts if they exist 2025-08-14T22:06:05.0471036Z # Remove any previous debugging artifacts if they exist 2025-08-14T22:06:05.0471283Z rm -f debug-*.zip 2025-08-14T22:06:05.0471474Z if [ -d 'test/debug' ]; then 2025-08-14T22:06:05.0471696Z  zip -r "debug-${FILE_SUFFIX}.zip" test/debug 2025-08-14T22:06:05.0471903Z fi 2025-08-14T22:06:05.0475608Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:06:05.0475833Z env: 2025-08-14T22:06:05.0475986Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:06:05.0476280Z DOCKER_CONTAINER_ID: 2b4d07f6e07de63cea1adeedb8e52683d6256766250063416b03ad5880eb8286 2025-08-14T22:06:05.0476565Z DEVICE_NAME: 2025-08-14T22:06:05.0476716Z DEVICE_TYPE: 2025-08-14T22:06:05.0476952Z FILE_SUFFIX: test-cpu_inductor_torchbench-1-2-linux.8xlarge.amx_48128039099 2025-08-14T22:06:05.0477209Z ##[endgroup] 2025-08-14T22:06:05.0546514Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-08-14T22:06:05.0546723Z with: 2025-08-14T22:06:05.0546882Z s3-bucket: gha-artifacts 2025-08-14T22:06:05.0547094Z s3-prefix: pytorch/pytorch/16976255153/1/artifact 2025-08-14T22:06:05.0547305Z retention-days: 14 2025-08-14T22:06:05.0547539Z if-no-files-found: warn 2025-08-14T22:06:05.0547723Z path: test-jsons-*.zip 2025-08-14T22:06:05.0547887Z name: artifact 2025-08-14T22:06:05.0548044Z region: us-east-1 2025-08-14T22:06:05.0548198Z env: 2025-08-14T22:06:05.0548341Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:06:05.0548677Z DOCKER_CONTAINER_ID: 2b4d07f6e07de63cea1adeedb8e52683d6256766250063416b03ad5880eb8286 2025-08-14T22:06:05.0548978Z DEVICE_NAME: 2025-08-14T22:06:05.0549130Z DEVICE_TYPE: 2025-08-14T22:06:05.0549272Z ##[endgroup] 2025-08-14T22:06:05.3073280Z NOTE: s3-prefix specified, ignoring name parameter 2025-08-14T22:06:05.3077524Z With the provided path, there will be 1 file uploaded 2025-08-14T22:06:05.3081248Z Uploading to s3 prefix: pytorch/pytorch/16976255153/1/artifact 2025-08-14T22:06:05.3102306Z Starting upload of test-jsons-test-cpu_inductor_torchbench-1-2-linux.8xlarge.amx_48128039099.zip 2025-08-14T22:06:05.4440965Z Finished upload of test-jsons-test-cpu_inductor_torchbench-1-2-linux.8xlarge.amx_48128039099.zip 2025-08-14T22:06:05.4605149Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-08-14T22:06:05.4605355Z with: 2025-08-14T22:06:05.4605513Z s3-bucket: gha-artifacts 2025-08-14T22:06:05.4605721Z s3-prefix: pytorch/pytorch/16976255153/1/artifact 2025-08-14T22:06:05.4605928Z retention-days: 14 2025-08-14T22:06:05.4606331Z if-no-files-found: error 2025-08-14T22:06:05.4606521Z path: test-reports-*.zip 2025-08-14T22:06:05.4606692Z name: artifact 2025-08-14T22:06:05.4606848Z region: us-east-1 2025-08-14T22:06:05.4607001Z env: 2025-08-14T22:06:05.4607139Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:06:05.4607421Z DOCKER_CONTAINER_ID: 2b4d07f6e07de63cea1adeedb8e52683d6256766250063416b03ad5880eb8286 2025-08-14T22:06:05.4607708Z DEVICE_NAME: 2025-08-14T22:06:05.4607854Z DEVICE_TYPE: 2025-08-14T22:06:05.4607992Z ##[endgroup] 2025-08-14T22:06:05.7049481Z NOTE: s3-prefix specified, ignoring name parameter 2025-08-14T22:06:05.7051552Z With the provided path, there will be 1 file uploaded 2025-08-14T22:06:05.7055543Z Uploading to s3 prefix: pytorch/pytorch/16976255153/1/artifact 2025-08-14T22:06:05.7078311Z Starting upload of test-reports-test-cpu_inductor_torchbench-1-2-linux.8xlarge.amx_48128039099.zip 2025-08-14T22:06:05.8315852Z Finished upload of test-reports-test-cpu_inductor_torchbench-1-2-linux.8xlarge.amx_48128039099.zip 2025-08-14T22:06:05.8481642Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-08-14T22:06:05.8481994Z with: 2025-08-14T22:06:05.8482158Z s3-bucket: gha-artifacts 2025-08-14T22:06:05.8482371Z s3-prefix: pytorch/pytorch/16976255153/1/artifact 2025-08-14T22:06:05.8482577Z retention-days: 14 2025-08-14T22:06:05.8482748Z if-no-files-found: ignore 2025-08-14T22:06:05.8482926Z path: logs-*.zip 2025-08-14T22:06:05.8483074Z name: artifact 2025-08-14T22:06:05.8483225Z region: us-east-1 2025-08-14T22:06:05.8483372Z env: 2025-08-14T22:06:05.8483507Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:06:05.8483789Z DOCKER_CONTAINER_ID: 2b4d07f6e07de63cea1adeedb8e52683d6256766250063416b03ad5880eb8286 2025-08-14T22:06:05.8484082Z DEVICE_NAME: 2025-08-14T22:06:05.8484228Z DEVICE_TYPE: 2025-08-14T22:06:05.8484367Z ##[endgroup] 2025-08-14T22:06:06.0892405Z NOTE: s3-prefix specified, ignoring name parameter 2025-08-14T22:06:06.0894338Z With the provided path, there will be 1 file uploaded 2025-08-14T22:06:06.0894830Z Uploading to s3 prefix: pytorch/pytorch/16976255153/1/artifact 2025-08-14T22:06:06.0923332Z Starting upload of logs-test-cpu_inductor_torchbench-1-2-linux.8xlarge.amx_48128039099.zip 2025-08-14T22:06:06.1908683Z Finished upload of logs-test-cpu_inductor_torchbench-1-2-linux.8xlarge.amx_48128039099.zip 2025-08-14T22:06:06.2074017Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-08-14T22:06:06.2074232Z with: 2025-08-14T22:06:06.2074388Z s3-bucket: gha-artifacts 2025-08-14T22:06:06.2074587Z s3-prefix: pytorch/pytorch/16976255153/1/artifact 2025-08-14T22:06:06.2074800Z retention-days: 14 2025-08-14T22:06:06.2074971Z if-no-files-found: ignore 2025-08-14T22:06:06.2075208Z path: debug-*.zip 2025-08-14T22:06:06.2075363Z name: artifact 2025-08-14T22:06:06.2075517Z region: us-east-1 2025-08-14T22:06:06.2075659Z env: 2025-08-14T22:06:06.2075805Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:06:06.2076088Z DOCKER_CONTAINER_ID: 2b4d07f6e07de63cea1adeedb8e52683d6256766250063416b03ad5880eb8286 2025-08-14T22:06:06.2076424Z DEVICE_NAME: 2025-08-14T22:06:06.2076573Z DEVICE_TYPE: 2025-08-14T22:06:06.2076735Z ##[endgroup] 2025-08-14T22:06:06.4532956Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded. 2025-08-14T22:06:06.4711179Z ##[group]Run # shellcheck disable=SC2156 2025-08-14T22:06:06.4711444Z # shellcheck disable=SC2156 2025-08-14T22:06:06.4711795Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \; 2025-08-14T22:06:06.4716716Z shell: /usr/bin/bash -e {0} 2025-08-14T22:06:06.4716893Z env: 2025-08-14T22:06:06.4717045Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:06:06.4717335Z DOCKER_CONTAINER_ID: 2b4d07f6e07de63cea1adeedb8e52683d6256766250063416b03ad5880eb8286 2025-08-14T22:06:06.4717624Z DEVICE_NAME: 2025-08-14T22:06:06.4717777Z DEVICE_TYPE: 2025-08-14T22:06:06.4717921Z ##[endgroup] 2025-08-14T22:06:06.6371252Z Prepare all required actions 2025-08-14T22:06:06.6371573Z Getting action download info 2025-08-14T22:06:06.7911743Z ##[group]Run ./.github/actions/upload-utilization-stats 2025-08-14T22:06:06.7911983Z with: 2025-08-14T22:06:06.7912138Z job_id: 48128039099 2025-08-14T22:06:06.7912443Z job_name: linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx) 2025-08-14T22:06:06.7912764Z workflow_name: inductor 2025-08-14T22:06:06.7912942Z workflow_run_id: 16976255153 2025-08-14T22:06:06.7913120Z workflow_attempt: 1 2025-08-14T22:06:06.7913274Z env: 2025-08-14T22:06:06.7913420Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:06:06.7913708Z DOCKER_CONTAINER_ID: 2b4d07f6e07de63cea1adeedb8e52683d6256766250063416b03ad5880eb8286 2025-08-14T22:06:06.7914003Z DEVICE_NAME: 2025-08-14T22:06:06.7914154Z DEVICE_TYPE: 2025-08-14T22:06:06.7914302Z ##[endgroup] 2025-08-14T22:06:06.7933838Z ##[group]Run echo "workflow_id: 16976255153" 2025-08-14T22:06:06.7934118Z echo "workflow_id: 16976255153" 2025-08-14T22:06:06.7934333Z echo "workflow_attempt: 1" 2025-08-14T22:06:06.7934530Z echo "workflow_Name: inductor" 2025-08-14T22:06:06.7934725Z echo "job_id: 48128039099" 2025-08-14T22:06:06.7935076Z echo "job_name: linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)" 2025-08-14T22:06:06.7935427Z echo "artifact_prefix: " 2025-08-14T22:06:06.7935631Z python3 --version 2025-08-14T22:06:06.7940114Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:06:06.7940345Z env: 2025-08-14T22:06:06.7940490Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:06:06.7940773Z DOCKER_CONTAINER_ID: 2b4d07f6e07de63cea1adeedb8e52683d6256766250063416b03ad5880eb8286 2025-08-14T22:06:06.7941070Z DEVICE_NAME: 2025-08-14T22:06:06.7941217Z DEVICE_TYPE: 2025-08-14T22:06:06.7941368Z ##[endgroup] 2025-08-14T22:06:06.7964588Z workflow_id: 16976255153 2025-08-14T22:06:06.7966513Z workflow_attempt: 1 2025-08-14T22:06:06.7966819Z workflow_Name: inductor 2025-08-14T22:06:06.7971210Z job_id: 48128039099 2025-08-14T22:06:06.7971752Z job_name: linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx) 2025-08-14T22:06:06.7972219Z artifact_prefix: 2025-08-14T22:06:06.7975836Z Python 3.9.23 2025-08-14T22:06:06.8008398Z ##[group]Run nick-fields/retry@v3.0.0 2025-08-14T22:06:06.8008597Z with: 2025-08-14T22:06:06.8008743Z shell: bash 2025-08-14T22:06:06.8008899Z timeout_minutes: 5 2025-08-14T22:06:06.8009052Z max_attempts: 5 2025-08-14T22:06:06.8009211Z retry_wait_seconds: 30 2025-08-14T22:06:06.8009535Z command: set -eu python3 -m pip install python-dateutil==2.8.2 boto3==1.35.42 pandas==2.1.3 dataclasses_json==0.6.7 2025-08-14T22:06:06.8009918Z polling_interval_seconds: 1 2025-08-14T22:06:06.8010088Z warning_on_retry: true 2025-08-14T22:06:06.8010255Z continue_on_error: false 2025-08-14T22:06:06.8010417Z env: 2025-08-14T22:06:06.8010558Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:06:06.8010892Z DOCKER_CONTAINER_ID: 2b4d07f6e07de63cea1adeedb8e52683d6256766250063416b03ad5880eb8286 2025-08-14T22:06:06.8011180Z DEVICE_NAME: 2025-08-14T22:06:06.8011320Z DEVICE_TYPE: 2025-08-14T22:06:06.8011471Z ##[endgroup] 2025-08-14T22:06:07.0426273Z Defaulting to user installation because normal site-packages is not writeable 2025-08-14T22:06:07.1009097Z Collecting python-dateutil==2.8.2 2025-08-14T22:06:07.1172163Z Downloading python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB) 2025-08-14T22:06:07.7584247Z Collecting boto3==1.35.42 2025-08-14T22:06:07.7627914Z Downloading boto3-1.35.42-py3-none-any.whl (139 kB) 2025-08-14T22:06:08.1111877Z Collecting pandas==2.1.3 2025-08-14T22:06:08.1159256Z Downloading pandas-2.1.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.3 MB) 2025-08-14T22:06:08.2164073Z Requirement already satisfied: dataclasses_json==0.6.7 in /home/ec2-user/.local/lib/python3.9/site-packages (0.6.7) 2025-08-14T22:06:08.2175389Z Requirement already satisfied: six>=1.5 in /usr/lib/python3.9/site-packages (from python-dateutil==2.8.2) (1.15.0) 2025-08-14T22:06:08.2208642Z Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /usr/lib/python3.9/site-packages (from boto3==1.35.42) (0.10.0) 2025-08-14T22:06:08.2213091Z Requirement already satisfied: s3transfer<0.11.0,>=0.10.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from boto3==1.35.42) (0.10.4) 2025-08-14T22:06:08.2217677Z Requirement already satisfied: botocore<1.36.0,>=1.35.42 in /home/ec2-user/.local/lib/python3.9/site-packages (from boto3==1.35.42) (1.35.99) 2025-08-14T22:06:08.2622377Z Requirement already satisfied: pytz>=2020.1 in /usr/lib/python3.9/site-packages (from pandas==2.1.3) (2022.7.1) 2025-08-14T22:06:08.2842602Z Collecting tzdata>=2022.1 2025-08-14T22:06:08.2890259Z Downloading tzdata-2025.2-py2.py3-none-any.whl (347 kB) 2025-08-14T22:06:08.8354821Z Collecting numpy<2,>=1.22.4 2025-08-14T22:06:08.8464101Z Downloading numpy-1.26.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (18.2 MB) 2025-08-14T22:06:08.9940497Z Requirement already satisfied: typing-inspect<1,>=0.4.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from dataclasses_json==0.6.7) (0.9.0) 2025-08-14T22:06:08.9941366Z Requirement already satisfied: marshmallow<4.0.0,>=3.18.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from dataclasses_json==0.6.7) (3.26.1) 2025-08-14T22:06:08.9982465Z Requirement already satisfied: urllib3<1.27,>=1.25.4 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.42->boto3==1.35.42) (1.25.10) 2025-08-14T22:06:09.0059282Z Requirement already satisfied: packaging>=17.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from marshmallow<4.0.0,>=3.18.0->dataclasses_json==0.6.7) (25.0) 2025-08-14T22:06:09.0131988Z Requirement already satisfied: mypy-extensions>=0.3.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from typing-inspect<1,>=0.4.0->dataclasses_json==0.6.7) (1.1.0) 2025-08-14T22:06:09.0136390Z 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) (4.14.1) 2025-08-14T22:06:09.1226263Z Installing collected packages: python-dateutil, tzdata, numpy, pandas, boto3 2025-08-14T22:06:12.8550461Z Attempting uninstall: boto3 2025-08-14T22:06:12.8554566Z Found existing installation: boto3 1.35.33 2025-08-14T22:06:12.8612867Z Uninstalling boto3-1.35.33: 2025-08-14T22:06:12.8622360Z Successfully uninstalled boto3-1.35.33 2025-08-14T22:06:12.9023558Z Successfully installed boto3-1.35.42 numpy-1.26.4 pandas-2.1.3 python-dateutil-2.8.2 tzdata-2025.2 2025-08-14T22:06:13.8660440Z Command completed after 1 attempt(s). 2025-08-14T22:06:13.8726211Z ##[group]Run python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-08-14T22:06:13.8726726Z python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-08-14T22:06:13.8727075Z  --workflow-run-id "16976255153" \ 2025-08-14T22:06:13.8727357Z  --workflow-name "inductor" \ 2025-08-14T22:06:13.8727568Z  --workflow-run-attempt "1" \ 2025-08-14T22:06:13.8727764Z  --job-id "48128039099" \ 2025-08-14T22:06:13.8728105Z  --job-name "linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)" \ 2025-08-14T22:06:13.8728455Z  --local-path "" \ 2025-08-14T22:06:13.8728644Z  --artifact-prefix "" 2025-08-14T22:06:13.8733665Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:06:13.8733894Z env: 2025-08-14T22:06:13.8734048Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:06:13.8734334Z DOCKER_CONTAINER_ID: 2b4d07f6e07de63cea1adeedb8e52683d6256766250063416b03ad5880eb8286 2025-08-14T22:06:13.8734623Z DEVICE_NAME: 2025-08-14T22:06:13.8734776Z DEVICE_TYPE: 2025-08-14T22:06:13.8734927Z ##[endgroup] 2025-08-14T22:06:14.8024066Z repo: pytorch/pytorch 2025-08-14T22:06:14.8028439Z Search for test log in s3 bucket: ossci-utilization 2025-08-14T22:06:14.8032814Z Downloading logs-test-cpu_inductor_torchbench-1-2-linux.8xlarge.amx_48128039099.zip 2025-08-14T22:06:14.8037325Z extracting usage_log.txt from zip file logs-test-cpu_inductor_torchbench-1-2-linux.8xlarge.amx_48128039099.zip 2025-08-14T22:06:14.8041306Z Converted Log Model: UtilizationMetadata: 2025-08-14T22:06:14.8043982Z UtilizationMetadata(level='metadata', workflow_id='16976255153', job_id='48128039099', workflow_name='inductor', job_name='linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)', usage_collect_interval=1.0, data_model_version=1.5, start_at=1755206923, gpu_count=0, cpu_count=32, gpu_type=None, error=None) 2025-08-14T22:06:14.8045387Z [Db Segments] detected pytest cmd: 10, generated segments: 10 2025-08-14T22:06:14.8047415Z [db model] Peek db timeseries 2025-08-14T22:06:14.8052111Z :{ 2025-08-14T22:06:14.8055737Z "created_at": 1755209174, 2025-08-14T22:06:14.8060531Z "type": "utilization", 2025-08-14T22:06:14.8065607Z "tags": [ 2025-08-14T22:06:14.8069336Z "record" 2025-08-14T22:06:14.8071385Z ], 2025-08-14T22:06:14.8076422Z "time_stamp": 1755206923, 2025-08-14T22:06:14.8078431Z "repo": "pytorch/pytorch", 2025-08-14T22:06:14.8078779Z "workflow_id": 16976255153, 2025-08-14T22:06:14.8082120Z "run_attempt": 1, 2025-08-14T22:06:14.8082437Z "job_id": 48128039099, 2025-08-14T22:06:14.8087446Z "workflow_name": "inductor", 2025-08-14T22:06:14.8091352Z "job_name": "linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)", 2025-08-14T22:06:14.8092963Z "json_data": "{}" 2025-08-14T22:06:14.8093152Z } 2025-08-14T22:06:14.8093459Z Writing 1 documents to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/16976255153/1/48128039099/metadata 2025-08-14T22:06:14.8093988Z Done! Finish writing document to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/16976255153/1/48128039099/metadata 2025-08-14T22:06:14.8094502Z Writing 443 documents to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/16976255153/1/48128039099/time_series 2025-08-14T22:06:14.8095013Z Done! Finish writing document to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/16976255153/1/48128039099/time_series 2025-08-14T22:06:14.9002917Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main 2025-08-14T22:06:14.9003183Z with: 2025-08-14T22:06:14.9003328Z env: 2025-08-14T22:06:14.9003472Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:06:14.9003768Z DOCKER_CONTAINER_ID: 2b4d07f6e07de63cea1adeedb8e52683d6256766250063416b03ad5880eb8286 2025-08-14T22:06:14.9004066Z DEVICE_NAME: 2025-08-14T22:06:14.9004215Z DEVICE_TYPE: 2025-08-14T22:06:14.9004365Z ##[endgroup] 2025-08-14T22:06:14.9023780Z ##[group]Run set -eou pipefail 2025-08-14T22:06:14.9024027Z set -eou pipefail 2025-08-14T22:06:14.9024219Z  2025-08-14T22:06:14.9024469Z echo "Holding runner for 2 hours until all ssh sessions have logged out" 2025-08-14T22:06:14.9024848Z for _ in $(seq 1440); do 2025-08-14T22:06:14.9025084Z  # Break if no ssh session exists anymore 2025-08-14T22:06:14.9025321Z  if [ "$(who)" = "" ]; then 2025-08-14T22:06:14.9025523Z  break 2025-08-14T22:06:14.9025732Z  fi 2025-08-14T22:06:14.9025898Z  echo "." 2025-08-14T22:06:14.9026075Z  sleep 5 2025-08-14T22:06:14.9026248Z done 2025-08-14T22:06:14.9030845Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:06:14.9031072Z env: 2025-08-14T22:06:14.9031225Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:06:14.9031508Z DOCKER_CONTAINER_ID: 2b4d07f6e07de63cea1adeedb8e52683d6256766250063416b03ad5880eb8286 2025-08-14T22:06:14.9031797Z DEVICE_NAME: 2025-08-14T22:06:14.9031984Z DEVICE_TYPE: 2025-08-14T22:06:14.9032139Z ##[endgroup] 2025-08-14T22:06:14.9054673Z Holding runner for 2 hours until all ssh sessions have logged out 2025-08-14T22:06:14.9133053Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-08-14T22:06:14.9133576Z # ignore expansion of "docker ps -q" since it could be empty 2025-08-14T22:06:14.9133833Z # shellcheck disable=SC2046 2025-08-14T22:06:14.9134054Z docker stop $(docker ps -q) || true 2025-08-14T22:06:14.9134261Z # Prune all of the docker images 2025-08-14T22:06:14.9134468Z docker system prune -af 2025-08-14T22:06:14.9137965Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:06:14.9138186Z env: 2025-08-14T22:06:14.9138337Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:06:14.9138620Z DOCKER_CONTAINER_ID: 2b4d07f6e07de63cea1adeedb8e52683d6256766250063416b03ad5880eb8286 2025-08-14T22:06:14.9138912Z DEVICE_NAME: 2025-08-14T22:06:14.9139067Z DEVICE_TYPE: 2025-08-14T22:06:14.9139216Z ##[endgroup] 2025-08-14T22:06:25.8294395Z 2b4d07f6e07d 2025-08-14T22:06:26.1780560Z Deleted Containers: 2025-08-14T22:06:26.1784975Z 2b4d07f6e07de63cea1adeedb8e52683d6256766250063416b03ad5880eb8286 2025-08-14T22:06:26.1786310Z 2025-08-14T22:06:32.9458744Z Deleted Images: 2025-08-14T22:06:32.9463678Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 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2025-08-14T22:06:33.0395775Z git version 2.47.1 2025-08-14T22:06:33.0428716Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/05d61e2f-e246-4c52-afdc-47d42719c031/.gitconfig' 2025-08-14T22:06:33.0451890Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/05d61e2f-e246-4c52-afdc-47d42719c031' before making global git config changes 2025-08-14T22:06:33.0453604Z Adding repository directory to the temporary git global config as a safe directory 2025-08-14T22:06:33.0455009Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-08-14T22:06:33.0504347Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-08-14T22:06:33.0533530Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :" 2025-08-14T22:06:33.0845343Z Entering 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'third_party/gloo' 2025-08-14T22:06:33.2503491Z Entering 'third_party/googletest' 2025-08-14T22:06:33.2558645Z Entering 'third_party/ideep' 2025-08-14T22:06:33.2613706Z Entering 'third_party/ideep/mkl-dnn' 2025-08-14T22:06:33.2667767Z Entering 'third_party/ittapi' 2025-08-14T22:06:33.2721956Z Entering 'third_party/kineto' 2025-08-14T22:06:33.2771495Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-14T22:06:33.2823003Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-14T22:06:33.2872802Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-14T22:06:33.2925903Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-14T22:06:33.2976028Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-14T22:06:33.3027904Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-14T22:06:33.3082723Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-14T22:06:33.3134871Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-14T22:06:33.3188959Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-14T22:06:33.3243663Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-08-14T22:06:33.3299598Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-08-14T22:06:33.3352088Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-08-14T22:06:33.3404331Z Entering 'third_party/kleidiai' 2025-08-14T22:06:33.3459645Z Entering 'third_party/mimalloc' 2025-08-14T22:06:33.3512969Z Entering 'third_party/nlohmann' 2025-08-14T22:06:33.3566027Z Entering 'third_party/onnx' 2025-08-14T22:06:33.3631285Z Entering 'third_party/onnx/third_party/pybind11' 2025-08-14T22:06:33.3689285Z Entering 'third_party/opentelemetry-cpp' 2025-08-14T22:06:33.3744118Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-08-14T22:06:33.3794630Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-08-14T22:06:33.3846044Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-08-14T22:06:33.3896119Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-14T22:06:33.3949700Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-14T22:06:33.3999163Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-14T22:06:33.4050384Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-14T22:06:33.4100052Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-08-14T22:06:33.4153910Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-08-14T22:06:33.4205848Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-14T22:06:33.4274777Z Entering 'third_party/pocketfft' 2025-08-14T22:06:33.4325013Z Entering 'third_party/protobuf' 2025-08-14T22:06:33.4376752Z Entering 'third_party/protobuf/third_party/benchmark' 2025-08-14T22:06:33.4429701Z Entering 'third_party/protobuf/third_party/googletest' 2025-08-14T22:06:33.4485385Z Entering 'third_party/psimd' 2025-08-14T22:06:33.4540374Z Entering 'third_party/pthreadpool' 2025-08-14T22:06:33.4592509Z Entering 'third_party/pybind11' 2025-08-14T22:06:33.4646299Z Entering 'third_party/python-peachpy' 2025-08-14T22:06:33.4697530Z Entering 'third_party/sleef' 2025-08-14T22:06:33.4751236Z Entering 'third_party/tensorpipe' 2025-08-14T22:06:33.4804753Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-08-14T22:06:33.4857646Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-08-14T22:06:33.4906358Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-08-14T22:06:33.4958462Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-08-14T22:06:33.5006971Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-14T22:06:33.5090431Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-08-14T22:06:33.5115194Z http.https://github.com/.extraheader 2025-08-14T22:06:33.5126779Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader 2025-08-14T22:06:33.5161354Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :" 2025-08-14T22:06:33.5467378Z Entering 'android/libs/fbjni' 2025-08-14T22:06:33.5497287Z http.https://github.com/.extraheader 2025-08-14T22:06:33.5534641Z Entering 'third_party/FP16' 2025-08-14T22:06:33.5566659Z http.https://github.com/.extraheader 2025-08-14T22:06:33.5601089Z Entering 'third_party/FXdiv' 2025-08-14T22:06:33.5637772Z http.https://github.com/.extraheader 2025-08-14T22:06:33.5674420Z Entering 'third_party/NNPACK' 2025-08-14T22:06:33.5705553Z http.https://github.com/.extraheader 2025-08-14T22:06:33.5741996Z Entering 'third_party/NVTX' 2025-08-14T22:06:33.5773284Z http.https://github.com/.extraheader 2025-08-14T22:06:33.5810473Z Entering 'third_party/VulkanMemoryAllocator' 2025-08-14T22:06:33.5846066Z http.https://github.com/.extraheader 2025-08-14T22:06:33.5881523Z Entering 'third_party/XNNPACK' 2025-08-14T22:06:33.5916420Z http.https://github.com/.extraheader 2025-08-14T22:06:33.5964356Z Entering 'third_party/aiter' 2025-08-14T22:06:33.5998030Z http.https://github.com/.extraheader 2025-08-14T22:06:33.6033632Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-08-14T22:06:33.6065288Z http.https://github.com/.extraheader 2025-08-14T22:06:33.6103940Z Entering 'third_party/benchmark' 2025-08-14T22:06:33.6139427Z http.https://github.com/.extraheader 2025-08-14T22:06:33.6174773Z Entering 'third_party/composable_kernel' 2025-08-14T22:06:33.6208196Z http.https://github.com/.extraheader 2025-08-14T22:06:33.6288573Z Entering 'third_party/cpp-httplib' 2025-08-14T22:06:33.6318838Z http.https://github.com/.extraheader 2025-08-14T22:06:33.6358232Z Entering 'third_party/cpuinfo' 2025-08-14T22:06:33.6391163Z http.https://github.com/.extraheader 2025-08-14T22:06:33.6424864Z Entering 'third_party/cudnn_frontend' 2025-08-14T22:06:33.6457280Z http.https://github.com/.extraheader 2025-08-14T22:06:33.6491765Z Entering 'third_party/cutlass' 2025-08-14T22:06:33.6523713Z http.https://github.com/.extraheader 2025-08-14T22:06:33.6567601Z Entering 'third_party/fbgemm' 2025-08-14T22:06:33.6600122Z http.https://github.com/.extraheader 2025-08-14T22:06:33.6637672Z Entering 'third_party/fbgemm/external/asmjit' 2025-08-14T22:06:33.6669268Z http.https://github.com/.extraheader 2025-08-14T22:06:33.6702644Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-08-14T22:06:33.6737344Z http.https://github.com/.extraheader 2025-08-14T22:06:33.6778123Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-08-14T22:06:33.6809314Z http.https://github.com/.extraheader 2025-08-14T22:06:33.6845441Z Entering 'third_party/fbgemm/external/cutlass' 2025-08-14T22:06:33.6878599Z http.https://github.com/.extraheader 2025-08-14T22:06:33.6923706Z Entering 'third_party/fbgemm/external/googletest' 2025-08-14T22:06:33.6956431Z http.https://github.com/.extraheader 2025-08-14T22:06:33.6989385Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-08-14T22:06:33.7025160Z http.https://github.com/.extraheader 2025-08-14T22:06:33.7061154Z Entering 'third_party/fbgemm/external/json' 2025-08-14T22:06:33.7095410Z http.https://github.com/.extraheader 2025-08-14T22:06:33.7133125Z Entering 'third_party/flash-attention' 2025-08-14T22:06:33.7168819Z http.https://github.com/.extraheader 2025-08-14T22:06:33.7198531Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-08-14T22:06:33.7235886Z http.https://github.com/.extraheader 2025-08-14T22:06:33.7274920Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-08-14T22:06:33.7306455Z http.https://github.com/.extraheader 2025-08-14T22:06:33.7353065Z Entering 'third_party/flatbuffers' 2025-08-14T22:06:33.7384029Z http.https://github.com/.extraheader 2025-08-14T22:06:33.7426125Z Entering 'third_party/fmt' 2025-08-14T22:06:33.7459194Z http.https://github.com/.extraheader 2025-08-14T22:06:33.7493916Z Entering 'third_party/gemmlowp/gemmlowp' 2025-08-14T22:06:33.7528654Z http.https://github.com/.extraheader 2025-08-14T22:06:33.7565289Z Entering 'third_party/gloo' 2025-08-14T22:06:33.7596790Z http.https://github.com/.extraheader 2025-08-14T22:06:33.7635125Z Entering 'third_party/googletest' 2025-08-14T22:06:33.7668314Z http.https://github.com/.extraheader 2025-08-14T22:06:33.7700825Z Entering 'third_party/ideep' 2025-08-14T22:06:33.7737023Z http.https://github.com/.extraheader 2025-08-14T22:06:33.7772328Z Entering 'third_party/ideep/mkl-dnn' 2025-08-14T22:06:33.7807956Z http.https://github.com/.extraheader 2025-08-14T22:06:33.7847916Z Entering 'third_party/ittapi' 2025-08-14T22:06:33.7879685Z http.https://github.com/.extraheader 2025-08-14T22:06:33.7916782Z Entering 'third_party/kineto' 2025-08-14T22:06:33.7950669Z http.https://github.com/.extraheader 2025-08-14T22:06:33.7988267Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-14T22:06:33.8019712Z http.https://github.com/.extraheader 2025-08-14T22:06:33.8054681Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-14T22:06:33.8087539Z http.https://github.com/.extraheader 2025-08-14T22:06:33.8122931Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-14T22:06:33.8155874Z http.https://github.com/.extraheader 2025-08-14T22:06:33.8189233Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-14T22:06:33.8221787Z http.https://github.com/.extraheader 2025-08-14T22:06:33.8257424Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-14T22:06:33.8289425Z http.https://github.com/.extraheader 2025-08-14T22:06:33.8321528Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-14T22:06:33.8353998Z http.https://github.com/.extraheader 2025-08-14T22:06:33.8391545Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-14T22:06:33.8424663Z http.https://github.com/.extraheader 2025-08-14T22:06:33.8462188Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-14T22:06:33.8495260Z http.https://github.com/.extraheader 2025-08-14T22:06:33.8536476Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-14T22:06:33.8568723Z http.https://github.com/.extraheader 2025-08-14T22:06:33.8603450Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-08-14T22:06:33.8640538Z http.https://github.com/.extraheader 2025-08-14T22:06:33.8679716Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-08-14T22:06:33.8713535Z http.https://github.com/.extraheader 2025-08-14T22:06:33.8748772Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-08-14T22:06:33.8780836Z http.https://github.com/.extraheader 2025-08-14T22:06:33.8821208Z Entering 'third_party/kleidiai' 2025-08-14T22:06:33.8855826Z http.https://github.com/.extraheader 2025-08-14T22:06:33.8892328Z Entering 'third_party/mimalloc' 2025-08-14T22:06:33.8926572Z http.https://github.com/.extraheader 2025-08-14T22:06:33.8961466Z Entering 'third_party/nlohmann' 2025-08-14T22:06:33.8991798Z http.https://github.com/.extraheader 2025-08-14T22:06:33.9034708Z Entering 'third_party/onnx' 2025-08-14T22:06:33.9068866Z http.https://github.com/.extraheader 2025-08-14T22:06:33.9117788Z Entering 'third_party/onnx/third_party/pybind11' 2025-08-14T22:06:33.9149124Z http.https://github.com/.extraheader 2025-08-14T22:06:33.9186874Z Entering 'third_party/opentelemetry-cpp' 2025-08-14T22:06:33.9220069Z http.https://github.com/.extraheader 2025-08-14T22:06:33.9254853Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-08-14T22:06:33.9286746Z http.https://github.com/.extraheader 2025-08-14T22:06:33.9322288Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-08-14T22:06:33.9353216Z http.https://github.com/.extraheader 2025-08-14T22:06:33.9385828Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-08-14T22:06:33.9419014Z http.https://github.com/.extraheader 2025-08-14T22:06:33.9453137Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-14T22:06:33.9484470Z http.https://github.com/.extraheader 2025-08-14T22:06:33.9520534Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-14T22:06:33.9552480Z http.https://github.com/.extraheader 2025-08-14T22:06:33.9588880Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-14T22:06:33.9622847Z http.https://github.com/.extraheader 2025-08-14T22:06:33.9657804Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-14T22:06:33.9689141Z http.https://github.com/.extraheader 2025-08-14T22:06:33.9721215Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-08-14T22:06:33.9751849Z http.https://github.com/.extraheader 2025-08-14T22:06:33.9788506Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-08-14T22:06:33.9821931Z http.https://github.com/.extraheader 2025-08-14T22:06:33.9859678Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-14T22:06:33.9891728Z http.https://github.com/.extraheader 2025-08-14T22:06:33.9942538Z Entering 'third_party/pocketfft' 2025-08-14T22:06:33.9975092Z http.https://github.com/.extraheader 2025-08-14T22:06:34.0012982Z Entering 'third_party/protobuf' 2025-08-14T22:06:34.0046510Z http.https://github.com/.extraheader 2025-08-14T22:06:34.0082977Z Entering 'third_party/protobuf/third_party/benchmark' 2025-08-14T22:06:34.0117473Z http.https://github.com/.extraheader 2025-08-14T22:06:34.0153636Z Entering 'third_party/protobuf/third_party/googletest' 2025-08-14T22:06:34.0187158Z http.https://github.com/.extraheader 2025-08-14T22:06:34.0224968Z Entering 'third_party/psimd' 2025-08-14T22:06:34.0257103Z http.https://github.com/.extraheader 2025-08-14T22:06:34.0291797Z Entering 'third_party/pthreadpool' 2025-08-14T22:06:34.0328385Z http.https://github.com/.extraheader 2025-08-14T22:06:34.0364812Z Entering 'third_party/pybind11' 2025-08-14T22:06:34.0397676Z http.https://github.com/.extraheader 2025-08-14T22:06:34.0435887Z Entering 'third_party/python-peachpy' 2025-08-14T22:06:34.0467745Z http.https://github.com/.extraheader 2025-08-14T22:06:34.0501549Z Entering 'third_party/sleef' 2025-08-14T22:06:34.0537760Z http.https://github.com/.extraheader 2025-08-14T22:06:34.0576030Z Entering 'third_party/tensorpipe' 2025-08-14T22:06:34.0610353Z http.https://github.com/.extraheader 2025-08-14T22:06:34.0643501Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-08-14T22:06:34.0675048Z http.https://github.com/.extraheader 2025-08-14T22:06:34.0712625Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-08-14T22:06:34.0746376Z http.https://github.com/.extraheader 2025-08-14T22:06:34.0780534Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-08-14T22:06:34.0814933Z http.https://github.com/.extraheader 2025-08-14T22:06:34.0852762Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-08-14T22:06:34.0888918Z http.https://github.com/.extraheader 2025-08-14T22:06:34.0917126Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-14T22:06:34.0953225Z http.https://github.com/.extraheader 2025-08-14T22:06:34.1097882Z A job completed hook has been configured by the self-hosted runner administrator 2025-08-14T22:06:34.1120535Z ##[group]Run '/home/ec2-user/runner-scripts/after_job.sh' 2025-08-14T22:06:34.1124117Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:06:34.1124358Z ##[endgroup] 2025-08-14T22:06:34.1211663Z [!ALERT!] Swap in detected! [!ALERT!] 2025-08-14T22:06:42.5460310Z [!ALERT!] Swap out detected [!ALERT!] 2025-08-14T22:06:57.2399989Z Cleaning up orphan processes