2025-08-14T21:22:24.2803739Z Current runner version: '2.328.0' 2025-08-14T21:22:24.2809294Z Runner name: 'i-0cfe2f44e87f9c4d7' 2025-08-14T21:22:24.2810417Z Runner group name: 'default' 2025-08-14T21:22:24.2811233Z Machine name: 'ip-10-0-3-245' 2025-08-14T21:22:24.2814035Z ##[group]GITHUB_TOKEN Permissions 2025-08-14T21:22:24.2816675Z Contents: read 2025-08-14T21:22:24.2817263Z Metadata: read 2025-08-14T21:22:24.2817704Z ##[endgroup] 2025-08-14T21:22:24.2819880Z Secret source: Actions 2025-08-14T21:22:24.2820683Z Prepare workflow directory 2025-08-14T21:22:24.3248833Z Prepare all required actions 2025-08-14T21:22:24.3284872Z Getting action download info 2025-08-14T21:22:24.6189299Z Download action repository 'pytorch/test-infra@main' (SHA:83f58f391e939c10dcb8cb6d745e4cefa3b98a84) 2025-08-14T21:22:26.0065991Z Download action repository 'pytorch/pytorch@main' (SHA:3be70dc30e893b552fc0f23ca06cd8f7949b6d08) 2025-08-14T21:22:41.2361255Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065) 2025-08-14T21:22:41.6029233Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722) 2025-08-14T21:22:41.8600357Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076) 2025-08-14T21:22:42.0409339Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-08-14T21:22:42.3271446Z Getting action download info 2025-08-14T21:22:42.4468328Z Download action repository 'actions/checkout@v4' (SHA:08eba0b27e820071cde6df949e0beb9ba4906955) 2025-08-14T21:22:42.7579116Z Getting action download info 2025-08-14T21:22:42.8708612Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e) 2025-08-14T21:22:43.1475926Z Getting action download info 2025-08-14T21:22:43.2515595Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482) 2025-08-14T21:22:43.4430821Z Getting action download info 2025-08-14T21:22:43.5628162Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (1fc683cf17c8c673044538d10266c00f92987be2) 2025-08-14T21:22:43.5632084Z ##[group] Inputs 2025-08-14T21:22:43.5632408Z build-environment: linux-jammy-py3.9-gcc11-build 2025-08-14T21:22:43.5637503Z test-matrix: {"include": [{"config": "cpu_inductor_freezing_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_freezing_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_freezing_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_amp_freezing_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_amp_freezing_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_amp_freezing_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_amp_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_amp_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_freezing_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_freezing_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_freezing_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_amp_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_amp_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_aot_inductor_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_aot_inductor_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_aot_inductor_amp_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_aot_inductor_amp_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}]} 2025-08-14T21:22:43.5643033Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:22:43.5643737Z sync-tag: 2025-08-14T21:22:43.5644535Z timeout-minutes: 240 2025-08-14T21:22:43.5644758Z use-gha: 2025-08-14T21:22:43.5644953Z dashboard-tag: 2025-08-14T21:22:43.5645180Z s3-bucket: gha-artifacts 2025-08-14T21:22:43.5645419Z aws-role-to-assume: 2025-08-14T21:22:43.5645907Z disable-monitor: false 2025-08-14T21:22:43.5646159Z monitor-log-interval: 5 2025-08-14T21:22:43.5646429Z monitor-data-collect-interval: 1 2025-08-14T21:22:43.5646706Z ##[endgroup] 2025-08-14T21:22:43.5647186Z Complete job name: linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_amp_freezing_torchbench, 1, 2, linux.8xlarge.amx) 2025-08-14T21:22:43.6179116Z A job started hook has been configured by the self-hosted runner administrator 2025-08-14T21:22:43.6263487Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh' 2025-08-14T21:22:43.6270557Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:22:43.6271036Z ##[endgroup] 2025-08-14T21:22:44.6309008Z Runner Type: linux.8xlarge.amx 2025-08-14T21:22:44.6309701Z Instance Type: m7i-flex.8xlarge 2025-08-14T21:22:44.6309975Z AMI Name: unknown 2025-08-14T21:22:44.6331394Z AMI ID: ami-05ffe3c48a9991133 2025-08-14T21:22:49.2124919Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main 2025-08-14T21:22:49.2125440Z with: 2025-08-14T21:22:49.2126141Z github-secret: *** 2025-08-14T21:22:49.2126678Z instructions: All testing is done inside the container, to start an interactive session run: docker exec -it $(docker container ps --format '{{.ID}}') bash 2025-08-14T21:22:49.2127326Z activate-with-label: false 2025-08-14T21:22:49.2127620Z label: with-ssh 2025-08-14T21:22:49.2127844Z remove-existing-keys: true 2025-08-14T21:22:49.2128246Z fail-silently: true 2025-08-14T21:22:49.2128520Z env: 2025-08-14T21:22:49.2128774Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:22:49.2129032Z ##[endgroup] 2025-08-14T21:22:49.3518513Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info. 2025-08-14T21:22:49.3519426Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys 2025-08-14T21:22:49.3895621Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main 2025-08-14T21:22:49.3896095Z with: 2025-08-14T21:22:49.3896354Z no-sudo: true 2025-08-14T21:22:49.3896844Z submodules: recursive 2025-08-14T21:22:49.3897165Z fetch-depth: 0 2025-08-14T21:22:49.3897438Z env: 2025-08-14T21:22:49.3897729Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:22:49.3898137Z ##[endgroup] 2025-08-14T21:22:49.4060608Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-14T21:22:49.4061305Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-14T21:22:49.4070530Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:22:49.4070791Z env: 2025-08-14T21:22:49.4071186Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:22:49.4071386Z ##[endgroup] 2025-08-14T21:22:49.4165325Z ##[group]Run # Use all available CPUs for fetching 2025-08-14T21:22:49.4165676Z # Use all available CPUs for fetching 2025-08-14T21:22:49.4165947Z cd "${GITHUB_WORKSPACE}" 2025-08-14T21:22:49.4166264Z git config --global fetch.parallel 0 2025-08-14T21:22:49.4166541Z git config --global submodule.fetchJobs 0 2025-08-14T21:22:49.4166785Z  2025-08-14T21:22:49.4167041Z # Clean workspace. The default checkout action should also do this, but 2025-08-14T21:22:49.4167362Z # do it here as well just in case 2025-08-14T21:22:49.4167594Z if [[ -d .git ]]; then 2025-08-14T21:22:49.4167806Z  if [ -z "${NO_SUDO}" ]; then 2025-08-14T21:22:49.4168044Z  sudo git clean -ffdx 2025-08-14T21:22:49.4168245Z  else 2025-08-14T21:22:49.4168414Z  git clean -ffdx 2025-08-14T21:22:49.4168605Z  fi 2025-08-14T21:22:49.4168778Z fi 2025-08-14T21:22:49.4173272Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:22:49.4173542Z env: 2025-08-14T21:22:49.4173806Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:22:49.4174172Z NO_SUDO: true 2025-08-14T21:22:49.4174345Z ##[endgroup] 2025-08-14T21:22:49.4280922Z ##[group]Run actions/checkout@v4 2025-08-14T21:22:49.4281193Z with: 2025-08-14T21:22:49.4281417Z ref: 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:22:49.4281679Z fetch-depth: 0 2025-08-14T21:22:49.4281887Z submodules: recursive 2025-08-14T21:22:49.4282109Z show-progress: false 2025-08-14T21:22:49.4282324Z repository: pytorch/pytorch 2025-08-14T21:22:49.4282669Z token: *** 2025-08-14T21:22:49.4282865Z ssh-strict: true 2025-08-14T21:22:49.4283066Z ssh-user: git 2025-08-14T21:22:49.4283269Z persist-credentials: true 2025-08-14T21:22:49.4283501Z clean: true 2025-08-14T21:22:49.4283736Z sparse-checkout-cone-mode: true 2025-08-14T21:22:49.4283998Z fetch-tags: false 2025-08-14T21:22:49.4284196Z lfs: false 2025-08-14T21:22:49.4284398Z set-safe-directory: true 2025-08-14T21:22:49.4284627Z env: 2025-08-14T21:22:49.4284811Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:22:49.4285024Z ##[endgroup] 2025-08-14T21:22:49.5308079Z Syncing repository: pytorch/pytorch 2025-08-14T21:22:49.5309277Z ##[group]Getting Git version info 2025-08-14T21:22:49.5309627Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-08-14T21:22:49.5310086Z [command]/usr/bin/git version 2025-08-14T21:22:49.5517729Z git version 2.47.1 2025-08-14T21:22:49.5539547Z ##[endgroup] 2025-08-14T21:22:49.5556669Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/a520ae19-9b8d-4db5-a706-fff67f7e2e30/.gitconfig' 2025-08-14T21:22:49.5590992Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/a520ae19-9b8d-4db5-a706-fff67f7e2e30' before making global git config changes 2025-08-14T21:22:49.5591772Z Adding repository directory to the temporary git global config as a safe directory 2025-08-14T21:22:49.5599227Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-08-14T21:22:49.5658033Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-08-14T21:22:49.5665095Z ##[group]Initializing the repository 2025-08-14T21:22:49.5669849Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-08-14T21:22:49.5722146Z hint: Using 'master' as the name for the initial branch. This default branch name 2025-08-14T21:22:49.5722637Z hint: is subject to change. To configure the initial branch name to use in all 2025-08-14T21:22:49.5723035Z hint: of your new repositories, which will suppress this warning, call: 2025-08-14T21:22:49.5723327Z hint: 2025-08-14T21:22:49.5723575Z hint: git config --global init.defaultBranch 2025-08-14T21:22:49.5723845Z hint: 2025-08-14T21:22:49.5724083Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2025-08-14T21:22:49.5724778Z hint: 'development'. The just-created branch can be renamed via this command: 2025-08-14T21:22:49.5725089Z hint: 2025-08-14T21:22:49.5725265Z hint: git branch -m 2025-08-14T21:22:49.5745107Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/ 2025-08-14T21:22:49.5754150Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch 2025-08-14T21:22:49.5794994Z ##[endgroup] 2025-08-14T21:22:49.5795401Z ##[group]Disabling automatic garbage collection 2025-08-14T21:22:49.5797051Z [command]/usr/bin/git config --local gc.auto 0 2025-08-14T21:22:49.5822352Z ##[endgroup] 2025-08-14T21:22:49.5822681Z ##[group]Setting up auth 2025-08-14T21:22:49.5827738Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-08-14T21:22:49.5858810Z [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' || :" 2025-08-14T21:22:49.6212731Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-08-14T21:22:49.6241771Z [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' || :" 2025-08-14T21:22:49.6573689Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-08-14T21:22:49.6642456Z ##[endgroup] 2025-08-14T21:22:49.6642913Z ##[group]Fetching the repository 2025-08-14T21:22:49.6649948Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2025-08-14T21:23:35.1599316Z From https://github.com/pytorch/pytorch 2025-08-14T21:23:35.1599778Z * [new branch] 2.6.0.dev20241004+ -> origin/2.6.0.dev20241004+ 2025-08-14T21:23:35.1600340Z * [new branch] 5addvllmbuild -> origin/5addvllmbuild 2025-08-14T21:23:35.1600999Z * [new branch] AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest 2025-08-14T21:23:35.1601610Z * [new branch] HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes 2025-08-14T21:23:35.1602284Z * [new branch] JackCaoG/dynamo_make_fx_non_core_aten_ops -> origin/JackCaoG/dynamo_make_fx_non_core_aten_ops 2025-08-14T21:23:35.1602937Z * [new branch] PR-AOTInductorNoneBug -> origin/PR-AOTInductorNoneBug 2025-08-14T21:23:35.1603509Z * [new branch] PR-AOTInductorNoneBugFix -> origin/PR-AOTInductorNoneBugFix 2025-08-14T21:23:35.1604043Z * [new branch] PR-FixConfigsIssue -> origin/PR-FixConfigsIssue 2025-08-14T21:23:35.1605206Z * [new branch] PR-NoneBugFix-viable -> origin/PR-NoneBugFix-viable 2025-08-14T21:23:35.1605718Z * [new branch] PR-ResetToZero -> origin/PR-ResetToZero 2025-08-14T21:23:35.1606530Z * [new branch] Update-Flash-Packaging -> origin/Update-Flash-Packaging 2025-08-14T21:23:35.1606995Z * [new branch] add-missing-args-normalization -> origin/add-missing-args-normalization 2025-08-14T21:23:35.1607441Z * [new branch] add-user-guide-structure -> origin/add-user-guide-structure 2025-08-14T21:23:35.1607799Z * [new branch] addVllmPin -> origin/addVllmPin 2025-08-14T21:23:35.1608168Z * [new branch] add_windows_testing_back -> origin/add_windows_testing_back 2025-08-14T21:23:35.1608608Z * [new branch] addbuildvllm -> origin/addbuildvllm 2025-08-14T21:23:35.1608948Z * [new branch] addmm-heuristic -> origin/addmm-heuristic 2025-08-14T21:23:35.1610302Z * [new branch] addsimde -> origin/addsimde 2025-08-14T21:23:35.1613448Z * [new branch] addvllpinnedfile -> origin/addvllpinnedfile 2025-08-14T21:23:35.1613967Z * [new branch] adi/acl_upgrade -> origin/adi/acl_upgrade 2025-08-14T21:23:35.1615001Z * [new branch] adi/skip_slow_tests -> origin/adi/skip_slow_tests 2025-08-14T21:23:35.1615437Z * [new branch] adi/test -> origin/adi/test 2025-08-14T21:23:35.1615784Z * [new branch] adi/test_bgemm -> origin/adi/test_bgemm 2025-08-14T21:23:35.1616135Z * [new branch] adi/test_fusions -> origin/adi/test_fusions 2025-08-14T21:23:35.1616509Z * [new branch] adi/test_onednn_v3.9 -> origin/adi/test_onednn_v3.9 2025-08-14T21:23:35.1616899Z * [new branch] adi/test_presve_change -> origin/adi/test_presve_change 2025-08-14T21:23:35.1617249Z * [new branch] adi/test_timm -> origin/adi/test_timm 2025-08-14T21:23:35.1623643Z * [new branch] adi/testpresve_change -> origin/adi/testpresve_change 2025-08-14T21:23:35.1624484Z * [new branch] aditew01/test/vec_bf16 -> origin/aditew01/test/vec_bf16 2025-08-14T21:23:35.1624986Z * [new branch] ah-globalfeedback-hook -> origin/ah-globalfeedback-hook 2025-08-14T21:23:35.1625426Z * [new branch] albanD-patch-1 -> origin/albanD-patch-1 2025-08-14T21:23:35.1625772Z * [new branch] alt-disable -> origin/alt-disable 2025-08-14T21:23:35.1626195Z * [new branch] angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files 2025-08-14T21:23:35.1626628Z * [new branch] angelayi/aoti_inductor_fx -> origin/angelayi/aoti_inductor_fx 2025-08-14T21:23:35.1627070Z * [new branch] angelayi/assert_tensor_metadata_device -> origin/angelayi/assert_tensor_metadata_device 2025-08-14T21:23:35.1627504Z * [new branch] angelayi/benchmark -> origin/angelayi/benchmark 2025-08-14T21:23:35.1627919Z * [new branch] angelayi/benchmark2 -> origin/angelayi/benchmark2 2025-08-14T21:23:35.1630135Z * [new branch] angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization 2025-08-14T21:23:35.1630600Z * [new branch] angelayi/cpp_loader -> origin/angelayi/cpp_loader 2025-08-14T21:23:35.1631043Z * [new branch] angelayi/custom_op_subgraph -> origin/angelayi/custom_op_subgraph 2025-08-14T21:23:35.1631441Z * [new branch] angelayi/customop -> origin/angelayi/customop 2025-08-14T21:23:35.1631837Z * [new branch] angelayi/del_lib -> origin/angelayi/del_lib 2025-08-14T21:23:35.1632320Z 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2025-08-14T21:23:35.5454921Z * [new branch] zxiiro/get-hardware -> origin/zxiiro/get-hardware 2025-08-14T21:23:35.5455840Z * [new branch] zxiiro/main -> origin/zxiiro/main 2025-08-14T21:23:35.5456547Z * [new branch] zxiiro/test -> origin/zxiiro/test 2025-08-14T21:23:35.5459010Z * [new tag] bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug -> bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug 2025-08-14T21:23:35.5459327Z * [new tag] ci/binaries/77164 -> ci/binaries/77164 2025-08-14T21:23:35.5459850Z * [new tag] ciflow/binaries/138996 -> ciflow/binaries/138996 2025-08-14T21:23:35.5460015Z * [new tag] ciflow/binaries/143959 -> ciflow/binaries/143959 2025-08-14T21:23:35.5462685Z * [new tag] ciflow/binaries/154595 -> ciflow/binaries/154595 2025-08-14T21:23:35.5463031Z * [new tag] ciflow/binaries/156049 -> ciflow/binaries/156049 2025-08-14T21:23:35.5463183Z * [new tag] ciflow/binaries/156712 -> ciflow/binaries/156712 2025-08-14T21:23:35.5463354Z * [new tag] ciflow/binaries/157432 -> ciflow/binaries/157432 2025-08-14T21:23:35.5463495Z * [new tag] ciflow/binaries/157685 -> ciflow/binaries/157685 2025-08-14T21:23:35.5463633Z * [new tag] ciflow/binaries/157689 -> ciflow/binaries/157689 2025-08-14T21:23:35.5463771Z * [new tag] ciflow/binaries/158104 -> ciflow/binaries/158104 2025-08-14T21:23:35.5463903Z * [new tag] ciflow/binaries/158623 -> ciflow/binaries/158623 2025-08-14T21:23:35.5464251Z * [new tag] ciflow/binaries/159827 -> ciflow/binaries/159827 2025-08-14T21:23:35.5464390Z * [new tag] ciflow/binaries/159869 -> ciflow/binaries/159869 2025-08-14T21:23:35.5465683Z * [new tag] ciflow/binaries/160593 -> ciflow/binaries/160593 2025-08-14T21:23:35.5466326Z * [new tag] ciflow/binaries_libtorch/143959 -> ciflow/binaries_libtorch/143959 2025-08-14T21:23:35.5466558Z * [new tag] ciflow/binaries_libtorch/156049 -> ciflow/binaries_libtorch/156049 2025-08-14T21:23:35.5466739Z * [new tag] ciflow/binaries_libtorch/157432 -> ciflow/binaries_libtorch/157432 2025-08-14T21:23:35.5466914Z * [new tag] ciflow/binaries_wheel/143959 -> ciflow/binaries_wheel/143959 2025-08-14T21:23:35.5467140Z * [new tag] ciflow/binaries_wheel/156049 -> ciflow/binaries_wheel/156049 2025-08-14T21:23:35.5468368Z * [new tag] ciflow/binaries_wheel/157432 -> ciflow/binaries_wheel/157432 2025-08-14T21:23:35.5468630Z * [new tag] ciflow/binaries_wheel/158733 -> ciflow/binaries_wheel/158733 2025-08-14T21:23:35.5468793Z * [new tag] ciflow/binaries_wheel/160301 -> ciflow/binaries_wheel/160301 2025-08-14T21:23:35.5470087Z * [new tag] ciflow/binaries_wheel/160496 -> ciflow/binaries_wheel/160496 2025-08-14T21:23:35.5470644Z * [new tag] ciflow/h100-distributed/156703 -> ciflow/h100-distributed/156703 2025-08-14T21:23:35.5470963Z * [new tag] ciflow/h100-symm-mem/151845 -> ciflow/h100-symm-mem/151845 2025-08-14T21:23:35.5471104Z * [new tag] ciflow/h100-symm-mem/155923 -> ciflow/h100-symm-mem/155923 2025-08-14T21:23:35.5471686Z * [new tag] ciflow/h100-symm-mem/157635 -> ciflow/h100-symm-mem/157635 2025-08-14T21:23:35.5471997Z * [new tag] ciflow/h100-symm-mem/159118 -> ciflow/h100-symm-mem/159118 2025-08-14T21:23:35.5477131Z * [new tag] ciflow/h100-symm-mem/159562 -> ciflow/h100-symm-mem/159562 2025-08-14T21:23:35.5477321Z * [new tag] ciflow/h100-symm-mem/159889 -> ciflow/h100-symm-mem/159889 2025-08-14T21:23:35.5477997Z * [new tag] ciflow/h100/159158 -> ciflow/h100/159158 2025-08-14T21:23:35.5478321Z * [new tag] ciflow/h100/160450 -> ciflow/h100/160450 2025-08-14T21:23:35.5478466Z * [new tag] ciflow/h100/160480 -> ciflow/h100/160480 2025-08-14T21:23:35.5478777Z * [new tag] ciflow/h100/160614 -> ciflow/h100/160614 2025-08-14T21:23:35.5479087Z * [new tag] ciflow/inductor-perf-test-nightly-rocm/151845 -> ciflow/inductor-perf-test-nightly-rocm/151845 2025-08-14T21:23:35.5479349Z * [new tag] ciflow/inductor-perf-test-nightly-rocm/160538 -> ciflow/inductor-perf-test-nightly-rocm/160538 2025-08-14T21:23:35.5479650Z * [new tag] ciflow/inductor-perf-test-nightly-x86-zen/156599 -> ciflow/inductor-perf-test-nightly-x86-zen/156599 2025-08-14T21:23:35.5479833Z * [new tag] ciflow/inductor-periodic/160406 -> ciflow/inductor-periodic/160406 2025-08-14T21:23:35.5480118Z * [new tag] ciflow/inductor-periodic/160538 -> ciflow/inductor-periodic/160538 2025-08-14T21:23:35.5482689Z * [new tag] ciflow/inductor-rocm/151845 -> ciflow/inductor-rocm/151845 2025-08-14T21:23:35.5482973Z * [new tag] ciflow/inductor-rocm/159158 -> ciflow/inductor-rocm/159158 2025-08-14T21:23:35.5483173Z * [new tag] ciflow/inductor-rocm/160073 -> ciflow/inductor-rocm/160073 2025-08-14T21:23:35.5483321Z * [new tag] ciflow/inductor-rocm/160538 -> ciflow/inductor-rocm/160538 2025-08-14T21:23:35.5483463Z * [new tag] ciflow/inductor/134881 -> ciflow/inductor/134881 2025-08-14T21:23:35.5483614Z * [new tag] ciflow/inductor/137400 -> ciflow/inductor/137400 2025-08-14T21:23:35.5483743Z * [new tag] ciflow/inductor/144516 -> ciflow/inductor/144516 2025-08-14T21:23:35.5483878Z * [new tag] ciflow/inductor/146506 -> ciflow/inductor/146506 2025-08-14T21:23:35.5484014Z * [new tag] ciflow/inductor/147360 -> ciflow/inductor/147360 2025-08-14T21:23:35.5484142Z * [new tag] ciflow/inductor/147990 -> ciflow/inductor/147990 2025-08-14T21:23:35.5484281Z * [new tag] ciflow/inductor/148180 -> ciflow/inductor/148180 2025-08-14T21:23:35.5486239Z * [new tag] ciflow/inductor/148328 -> ciflow/inductor/148328 2025-08-14T21:23:35.5486717Z * [new tag] ciflow/inductor/148484 -> ciflow/inductor/148484 2025-08-14T21:23:35.5486909Z * [new tag] ciflow/inductor/148492 -> ciflow/inductor/148492 2025-08-14T21:23:35.5487053Z * [new tag] ciflow/inductor/150302 -> ciflow/inductor/150302 2025-08-14T21:23:35.5487193Z * [new tag] ciflow/inductor/151845 -> ciflow/inductor/151845 2025-08-14T21:23:35.5487328Z * [new tag] ciflow/inductor/152198 -> ciflow/inductor/152198 2025-08-14T21:23:35.5487480Z * [new tag] ciflow/inductor/152624 -> ciflow/inductor/152624 2025-08-14T21:23:35.5487631Z * [new tag] ciflow/inductor/153966 -> ciflow/inductor/153966 2025-08-14T21:23:35.5487767Z * [new tag] ciflow/inductor/154193 -> ciflow/inductor/154193 2025-08-14T21:23:35.5487909Z * [new tag] ciflow/inductor/154650 -> ciflow/inductor/154650 2025-08-14T21:23:35.5488362Z * [new tag] ciflow/inductor/154694 -> ciflow/inductor/154694 2025-08-14T21:23:35.5488739Z * [new tag] ciflow/inductor/155072 -> ciflow/inductor/155072 2025-08-14T21:23:35.5489315Z * [new tag] ciflow/inductor/155152 -> ciflow/inductor/155152 2025-08-14T21:23:35.5489973Z * [new tag] ciflow/inductor/155153 -> ciflow/inductor/155153 2025-08-14T21:23:35.5490353Z * [new tag] ciflow/inductor/155154 -> ciflow/inductor/155154 2025-08-14T21:23:35.5490791Z * [new tag] ciflow/inductor/155501 -> ciflow/inductor/155501 2025-08-14T21:23:35.5491479Z * [new tag] ciflow/inductor/155502 -> ciflow/inductor/155502 2025-08-14T21:23:35.5491680Z * [new tag] ciflow/inductor/155503 -> ciflow/inductor/155503 2025-08-14T21:23:35.5493080Z * [new tag] ciflow/inductor/155504 -> ciflow/inductor/155504 2025-08-14T21:23:35.5493333Z * [new tag] ciflow/inductor/155557 -> ciflow/inductor/155557 2025-08-14T21:23:35.5493760Z * [new tag] ciflow/inductor/155608 -> ciflow/inductor/155608 2025-08-14T21:23:35.5493891Z * [new tag] ciflow/inductor/155923 -> ciflow/inductor/155923 2025-08-14T21:23:35.5494334Z * [new tag] ciflow/inductor/155928 -> ciflow/inductor/155928 2025-08-14T21:23:35.5496080Z * [new tag] ciflow/inductor/155958 -> ciflow/inductor/155958 2025-08-14T21:23:35.5496417Z * [new tag] ciflow/inductor/156049 -> ciflow/inductor/156049 2025-08-14T21:23:35.5496573Z * [new tag] ciflow/inductor/156851 -> ciflow/inductor/156851 2025-08-14T21:23:35.5498389Z * [new tag] ciflow/inductor/156967 -> ciflow/inductor/156967 2025-08-14T21:23:35.5498553Z * [new tag] ciflow/inductor/157148 -> ciflow/inductor/157148 2025-08-14T21:23:35.5498720Z * [new tag] ciflow/inductor/157149 -> ciflow/inductor/157149 2025-08-14T21:23:35.5498852Z * [new tag] ciflow/inductor/157152 -> ciflow/inductor/157152 2025-08-14T21:23:35.5498986Z * [new tag] ciflow/inductor/157542 -> ciflow/inductor/157542 2025-08-14T21:23:35.5499140Z * [new tag] ciflow/inductor/157572 -> ciflow/inductor/157572 2025-08-14T21:23:35.5499473Z * [new tag] ciflow/inductor/157635 -> ciflow/inductor/157635 2025-08-14T21:23:35.5500056Z * [new tag] ciflow/inductor/157685 -> ciflow/inductor/157685 2025-08-14T21:23:35.5500493Z * [new tag] ciflow/inductor/157686 -> ciflow/inductor/157686 2025-08-14T21:23:35.5500796Z * [new tag] ciflow/inductor/157689 -> ciflow/inductor/157689 2025-08-14T21:23:35.5501362Z * [new tag] ciflow/inductor/157699 -> ciflow/inductor/157699 2025-08-14T21:23:35.5501824Z * [new tag] ciflow/inductor/157743 -> ciflow/inductor/157743 2025-08-14T21:23:35.5502317Z * [new tag] ciflow/inductor/157944 -> ciflow/inductor/157944 2025-08-14T21:23:35.5502806Z * [new tag] ciflow/inductor/157971 -> ciflow/inductor/157971 2025-08-14T21:23:35.5503999Z * [new tag] ciflow/inductor/157994 -> ciflow/inductor/157994 2025-08-14T21:23:35.5504171Z * [new tag] ciflow/inductor/158061 -> ciflow/inductor/158061 2025-08-14T21:23:35.5504445Z * [new tag] ciflow/inductor/158091 -> ciflow/inductor/158091 2025-08-14T21:23:35.5504959Z * [new tag] ciflow/inductor/158097 -> ciflow/inductor/158097 2025-08-14T21:23:35.5505383Z * [new tag] ciflow/inductor/158098 -> ciflow/inductor/158098 2025-08-14T21:23:35.5505901Z * [new tag] ciflow/inductor/158104 -> ciflow/inductor/158104 2025-08-14T21:23:35.5506399Z * [new tag] ciflow/inductor/158168 -> ciflow/inductor/158168 2025-08-14T21:23:35.5508621Z * [new tag] ciflow/inductor/158250 -> ciflow/inductor/158250 2025-08-14T21:23:35.5508892Z * [new tag] ciflow/inductor/158321 -> ciflow/inductor/158321 2025-08-14T21:23:35.5509135Z * [new tag] ciflow/inductor/158609 -> ciflow/inductor/158609 2025-08-14T21:23:35.5509674Z * [new tag] ciflow/inductor/158647 -> ciflow/inductor/158647 2025-08-14T21:23:35.5510180Z * [new tag] ciflow/inductor/158914 -> ciflow/inductor/158914 2025-08-14T21:23:35.5510519Z * [new tag] ciflow/inductor/158932 -> ciflow/inductor/158932 2025-08-14T21:23:35.5510673Z * [new tag] ciflow/inductor/158987 -> ciflow/inductor/158987 2025-08-14T21:23:35.5510800Z * [new tag] ciflow/inductor/159009 -> ciflow/inductor/159009 2025-08-14T21:23:35.5510934Z * [new tag] ciflow/inductor/159010 -> ciflow/inductor/159010 2025-08-14T21:23:35.5511355Z * [new tag] ciflow/inductor/159093 -> ciflow/inductor/159093 2025-08-14T21:23:35.5511735Z * [new tag] ciflow/inductor/159158 -> ciflow/inductor/159158 2025-08-14T21:23:35.5512304Z * [new tag] ciflow/inductor/159197 -> ciflow/inductor/159197 2025-08-14T21:23:35.5512887Z * [new tag] ciflow/inductor/159274 -> ciflow/inductor/159274 2025-08-14T21:23:35.5513530Z * [new tag] ciflow/inductor/159281 -> ciflow/inductor/159281 2025-08-14T21:23:35.5513887Z * [new tag] ciflow/inductor/159329 -> ciflow/inductor/159329 2025-08-14T21:23:35.5514274Z * [new tag] ciflow/inductor/159361 -> ciflow/inductor/159361 2025-08-14T21:23:35.5514890Z * [new tag] ciflow/inductor/159365 -> ciflow/inductor/159365 2025-08-14T21:23:35.5515208Z * [new tag] ciflow/inductor/159366 -> ciflow/inductor/159366 2025-08-14T21:23:35.5515995Z * [new tag] ciflow/inductor/159367 -> ciflow/inductor/159367 2025-08-14T21:23:35.5516355Z * [new tag] ciflow/inductor/159368 -> ciflow/inductor/159368 2025-08-14T21:23:35.5516910Z * [new tag] ciflow/inductor/159473 -> ciflow/inductor/159473 2025-08-14T21:23:35.5518121Z * [new tag] ciflow/inductor/159483 -> ciflow/inductor/159483 2025-08-14T21:23:35.5518399Z * [new tag] ciflow/inductor/159508 -> ciflow/inductor/159508 2025-08-14T21:23:35.5518634Z * [new tag] ciflow/inductor/159523 -> ciflow/inductor/159523 2025-08-14T21:23:35.5518793Z * [new tag] ciflow/inductor/159678 -> ciflow/inductor/159678 2025-08-14T21:23:35.5519800Z * [new tag] ciflow/inductor/159691 -> ciflow/inductor/159691 2025-08-14T21:23:35.5519960Z * [new tag] ciflow/inductor/159778 -> ciflow/inductor/159778 2025-08-14T21:23:35.5520408Z * [new tag] ciflow/inductor/159786 -> ciflow/inductor/159786 2025-08-14T21:23:35.5520963Z * [new tag] ciflow/inductor/159817 -> ciflow/inductor/159817 2025-08-14T21:23:35.5521611Z * [new tag] ciflow/inductor/159842 -> ciflow/inductor/159842 2025-08-14T21:23:35.5522060Z * [new tag] ciflow/inductor/159864 -> ciflow/inductor/159864 2025-08-14T21:23:35.5522424Z * [new tag] ciflow/inductor/159865 -> ciflow/inductor/159865 2025-08-14T21:23:35.5523033Z * [new tag] ciflow/inductor/159869 -> ciflow/inductor/159869 2025-08-14T21:23:35.5523503Z * [new tag] ciflow/inductor/159875 -> ciflow/inductor/159875 2025-08-14T21:23:35.5524066Z * [new tag] ciflow/inductor/159889 -> ciflow/inductor/159889 2025-08-14T21:23:35.5524450Z * [new tag] ciflow/inductor/159902 -> ciflow/inductor/159902 2025-08-14T21:23:35.5525569Z * [new tag] ciflow/inductor/159923 -> ciflow/inductor/159923 2025-08-14T21:23:35.5525833Z * [new tag] ciflow/inductor/159944 -> ciflow/inductor/159944 2025-08-14T21:23:35.5526330Z * [new tag] ciflow/inductor/160004 -> ciflow/inductor/160004 2025-08-14T21:23:35.5526867Z * [new tag] ciflow/inductor/160080 -> ciflow/inductor/160080 2025-08-14T21:23:35.5527976Z * [new tag] ciflow/inductor/160108 -> ciflow/inductor/160108 2025-08-14T21:23:35.5528135Z * [new tag] ciflow/inductor/160109 -> ciflow/inductor/160109 2025-08-14T21:23:35.5529340Z * [new tag] ciflow/inductor/160111 -> ciflow/inductor/160111 2025-08-14T21:23:35.5529482Z * [new tag] ciflow/inductor/160113 -> ciflow/inductor/160113 2025-08-14T21:23:35.5530181Z * [new tag] ciflow/inductor/160127 -> ciflow/inductor/160127 2025-08-14T21:23:35.5530666Z * [new tag] ciflow/inductor/160131 -> ciflow/inductor/160131 2025-08-14T21:23:35.5531255Z * [new tag] ciflow/inductor/160132 -> ciflow/inductor/160132 2025-08-14T21:23:35.5531680Z * [new tag] ciflow/inductor/160136 -> ciflow/inductor/160136 2025-08-14T21:23:35.5532277Z * [new tag] ciflow/inductor/160138 -> ciflow/inductor/160138 2025-08-14T21:23:35.5532926Z * [new tag] ciflow/inductor/160151 -> ciflow/inductor/160151 2025-08-14T21:23:35.5533308Z * [new tag] ciflow/inductor/160152 -> ciflow/inductor/160152 2025-08-14T21:23:35.5533785Z * [new tag] ciflow/inductor/160154 -> ciflow/inductor/160154 2025-08-14T21:23:35.5534458Z * [new tag] ciflow/inductor/160156 -> ciflow/inductor/160156 2025-08-14T21:23:35.5534913Z * [new tag] ciflow/inductor/160161 -> ciflow/inductor/160161 2025-08-14T21:23:35.5535907Z * [new tag] ciflow/inductor/160166 -> ciflow/inductor/160166 2025-08-14T21:23:35.5536113Z * [new tag] ciflow/inductor/160168 -> ciflow/inductor/160168 2025-08-14T21:23:35.5536559Z * [new tag] ciflow/inductor/160174 -> ciflow/inductor/160174 2025-08-14T21:23:35.5536995Z * [new tag] ciflow/inductor/160181 -> ciflow/inductor/160181 2025-08-14T21:23:35.5537779Z * [new tag] ciflow/inductor/160183 -> ciflow/inductor/160183 2025-08-14T21:23:35.5538281Z * [new tag] ciflow/inductor/160190 -> ciflow/inductor/160190 2025-08-14T21:23:35.5539221Z * [new tag] ciflow/inductor/160198 -> ciflow/inductor/160198 2025-08-14T21:23:35.5539450Z * [new tag] ciflow/inductor/160201 -> ciflow/inductor/160201 2025-08-14T21:23:35.5539992Z * [new tag] ciflow/inductor/160209 -> ciflow/inductor/160209 2025-08-14T21:23:35.5540979Z * [new tag] ciflow/inductor/160218 -> ciflow/inductor/160218 2025-08-14T21:23:35.5541217Z * [new tag] ciflow/inductor/160239 -> ciflow/inductor/160239 2025-08-14T21:23:35.5541659Z * [new tag] ciflow/inductor/160250 -> ciflow/inductor/160250 2025-08-14T21:23:35.5542178Z * [new tag] ciflow/inductor/160253 -> ciflow/inductor/160253 2025-08-14T21:23:35.5542626Z * [new tag] ciflow/inductor/160266 -> ciflow/inductor/160266 2025-08-14T21:23:35.5543175Z * [new tag] ciflow/inductor/160282 -> ciflow/inductor/160282 2025-08-14T21:23:35.5543747Z * [new tag] ciflow/inductor/160298 -> ciflow/inductor/160298 2025-08-14T21:23:35.5544147Z * [new tag] ciflow/inductor/160301 -> ciflow/inductor/160301 2025-08-14T21:23:35.5545029Z * [new tag] ciflow/inductor/160310 -> ciflow/inductor/160310 2025-08-14T21:23:35.5545265Z * [new tag] ciflow/inductor/160323 -> ciflow/inductor/160323 2025-08-14T21:23:35.5546392Z * [new tag] ciflow/inductor/160324 -> ciflow/inductor/160324 2025-08-14T21:23:35.5547467Z * [new tag] ciflow/inductor/160325 -> ciflow/inductor/160325 2025-08-14T21:23:35.5548060Z * [new tag] ciflow/inductor/160326 -> ciflow/inductor/160326 2025-08-14T21:23:35.5548424Z * [new tag] ciflow/inductor/160327 -> ciflow/inductor/160327 2025-08-14T21:23:35.5548730Z * [new tag] ciflow/inductor/160328 -> ciflow/inductor/160328 2025-08-14T21:23:35.5549304Z * [new tag] ciflow/inductor/160329 -> ciflow/inductor/160329 2025-08-14T21:23:35.5549591Z * [new tag] ciflow/inductor/160351 -> ciflow/inductor/160351 2025-08-14T21:23:35.5550097Z * [new tag] ciflow/inductor/160353 -> ciflow/inductor/160353 2025-08-14T21:23:35.5550589Z * [new tag] ciflow/inductor/160362 -> ciflow/inductor/160362 2025-08-14T21:23:35.5551130Z * [new tag] ciflow/inductor/160363 -> ciflow/inductor/160363 2025-08-14T21:23:35.5551578Z * [new tag] ciflow/inductor/160364 -> ciflow/inductor/160364 2025-08-14T21:23:35.5552117Z * [new tag] ciflow/inductor/160365 -> ciflow/inductor/160365 2025-08-14T21:23:35.5552575Z * [new tag] ciflow/inductor/160366 -> ciflow/inductor/160366 2025-08-14T21:23:35.5553130Z * [new tag] ciflow/inductor/160367 -> ciflow/inductor/160367 2025-08-14T21:23:35.5553595Z * [new tag] ciflow/inductor/160368 -> ciflow/inductor/160368 2025-08-14T21:23:35.5554129Z * [new tag] ciflow/inductor/160369 -> ciflow/inductor/160369 2025-08-14T21:23:35.5554571Z * [new tag] ciflow/inductor/160371 -> ciflow/inductor/160371 2025-08-14T21:23:35.5555086Z * [new tag] ciflow/inductor/160374 -> ciflow/inductor/160374 2025-08-14T21:23:35.5555517Z * [new tag] ciflow/inductor/160375 -> ciflow/inductor/160375 2025-08-14T21:23:35.5556089Z * [new tag] ciflow/inductor/160377 -> ciflow/inductor/160377 2025-08-14T21:23:35.5556464Z * [new tag] ciflow/inductor/160380 -> ciflow/inductor/160380 2025-08-14T21:23:35.5557437Z * [new tag] ciflow/inductor/160381 -> ciflow/inductor/160381 2025-08-14T21:23:35.5557868Z * [new tag] ciflow/inductor/160383 -> ciflow/inductor/160383 2025-08-14T21:23:35.5558763Z * [new tag] ciflow/inductor/160394 -> ciflow/inductor/160394 2025-08-14T21:23:35.5559266Z * [new tag] ciflow/inductor/160401 -> ciflow/inductor/160401 2025-08-14T21:23:35.5559592Z * [new tag] ciflow/inductor/160402 -> ciflow/inductor/160402 2025-08-14T21:23:35.5559938Z * [new tag] ciflow/inductor/160403 -> ciflow/inductor/160403 2025-08-14T21:23:35.5560556Z * [new tag] ciflow/inductor/160424 -> ciflow/inductor/160424 2025-08-14T21:23:35.5560988Z * [new tag] ciflow/inductor/160426 -> ciflow/inductor/160426 2025-08-14T21:23:35.5562090Z * [new tag] ciflow/inductor/160431 -> ciflow/inductor/160431 2025-08-14T21:23:35.5562249Z * [new tag] ciflow/inductor/160448 -> ciflow/inductor/160448 2025-08-14T21:23:35.5562826Z * [new tag] ciflow/inductor/160450 -> ciflow/inductor/160450 2025-08-14T21:23:35.5563721Z * [new tag] ciflow/inductor/160455 -> ciflow/inductor/160455 2025-08-14T21:23:35.5564824Z * [new tag] ciflow/inductor/160456 -> ciflow/inductor/160456 2025-08-14T21:23:35.5565074Z * [new tag] ciflow/inductor/160461 -> ciflow/inductor/160461 2025-08-14T21:23:35.5565657Z * [new tag] ciflow/inductor/160462 -> ciflow/inductor/160462 2025-08-14T21:23:35.5566103Z * [new tag] ciflow/inductor/160467 -> ciflow/inductor/160467 2025-08-14T21:23:35.5566665Z * [new tag] ciflow/inductor/160470 -> ciflow/inductor/160470 2025-08-14T21:23:35.5567039Z * [new tag] ciflow/inductor/160473 -> ciflow/inductor/160473 2025-08-14T21:23:35.5567656Z * [new tag] ciflow/inductor/160476 -> ciflow/inductor/160476 2025-08-14T21:23:35.5568711Z * [new tag] ciflow/inductor/160480 -> ciflow/inductor/160480 2025-08-14T21:23:35.5568940Z * [new tag] ciflow/inductor/160481 -> ciflow/inductor/160481 2025-08-14T21:23:35.5569532Z * [new tag] ciflow/inductor/160482 -> ciflow/inductor/160482 2025-08-14T21:23:35.5569717Z * [new tag] ciflow/inductor/160483 -> ciflow/inductor/160483 2025-08-14T21:23:35.5570127Z * [new tag] ciflow/inductor/160485 -> ciflow/inductor/160485 2025-08-14T21:23:35.5571101Z * [new tag] ciflow/inductor/160486 -> ciflow/inductor/160486 2025-08-14T21:23:35.5571247Z * [new tag] ciflow/inductor/160503 -> ciflow/inductor/160503 2025-08-14T21:23:35.5572668Z * [new tag] ciflow/inductor/160510 -> ciflow/inductor/160510 2025-08-14T21:23:35.5572882Z * [new tag] ciflow/inductor/160527 -> ciflow/inductor/160527 2025-08-14T21:23:35.5573453Z * [new tag] ciflow/inductor/160530 -> ciflow/inductor/160530 2025-08-14T21:23:35.5573838Z * [new tag] ciflow/inductor/160531 -> ciflow/inductor/160531 2025-08-14T21:23:35.5574681Z * [new tag] ciflow/inductor/160538 -> ciflow/inductor/160538 2025-08-14T21:23:35.5575971Z * [new tag] ciflow/inductor/160539 -> ciflow/inductor/160539 2025-08-14T21:23:35.5576228Z * [new tag] ciflow/inductor/160540 -> ciflow/inductor/160540 2025-08-14T21:23:35.5576927Z * [new tag] ciflow/inductor/160548 -> ciflow/inductor/160548 2025-08-14T21:23:35.5577406Z * [new tag] ciflow/inductor/160561 -> ciflow/inductor/160561 2025-08-14T21:23:35.5578324Z * [new tag] ciflow/inductor/160576 -> ciflow/inductor/160576 2025-08-14T21:23:35.5578604Z * [new tag] ciflow/inductor/160578 -> ciflow/inductor/160578 2025-08-14T21:23:35.5579104Z * [new tag] ciflow/inductor/160580 -> ciflow/inductor/160580 2025-08-14T21:23:35.5579482Z * [new tag] ciflow/inductor/160583 -> ciflow/inductor/160583 2025-08-14T21:23:35.5580516Z * [new tag] ciflow/inductor/160589 -> ciflow/inductor/160589 2025-08-14T21:23:35.5580672Z * [new tag] ciflow/inductor/160590 -> ciflow/inductor/160590 2025-08-14T21:23:35.5582598Z * [new tag] ciflow/inductor/160592 -> ciflow/inductor/160592 2025-08-14T21:23:35.5582765Z * [new tag] ciflow/inductor/160596 -> ciflow/inductor/160596 2025-08-14T21:23:35.5583012Z * [new tag] ciflow/inductor/160601 -> ciflow/inductor/160601 2025-08-14T21:23:35.5583169Z * [new tag] ciflow/inductor/160607 -> ciflow/inductor/160607 2025-08-14T21:23:35.5583493Z * [new tag] ciflow/inductor/160608 -> ciflow/inductor/160608 2025-08-14T21:23:35.5584038Z * [new tag] ciflow/inductor/160611 -> ciflow/inductor/160611 2025-08-14T21:23:35.5586486Z * [new tag] ciflow/inductor/160614 -> ciflow/inductor/160614 2025-08-14T21:23:35.5586718Z * [new tag] ciflow/inductor/160616 -> ciflow/inductor/160616 2025-08-14T21:23:35.5586865Z * [new tag] ciflow/inductor/160619 -> ciflow/inductor/160619 2025-08-14T21:23:35.5586996Z * [new tag] ciflow/inductor/160625 -> ciflow/inductor/160625 2025-08-14T21:23:35.5587124Z * [new tag] ciflow/inductor/160635 -> ciflow/inductor/160635 2025-08-14T21:23:35.5587268Z * [new tag] ciflow/inductor/160649 -> ciflow/inductor/160649 2025-08-14T21:23:35.5587586Z * [new tag] ciflow/inductor/160658 -> ciflow/inductor/160658 2025-08-14T21:23:35.5588017Z * [new tag] ciflow/inductor/160662 -> ciflow/inductor/160662 2025-08-14T21:23:35.5588686Z * [new tag] ciflow/inductor/160668 -> ciflow/inductor/160668 2025-08-14T21:23:35.5589050Z * [new tag] ciflow/inductor/160669 -> ciflow/inductor/160669 2025-08-14T21:23:35.5589474Z * [new tag] ciflow/inductor/160670 -> ciflow/inductor/160670 2025-08-14T21:23:35.5590533Z * [new tag] ciflow/inductor/160671 -> ciflow/inductor/160671 2025-08-14T21:23:35.5590690Z * [new tag] ciflow/inductor/160677 -> ciflow/inductor/160677 2025-08-14T21:23:35.5591159Z * [new tag] ciflow/inductor/160679 -> ciflow/inductor/160679 2025-08-14T21:23:35.5592499Z * [new tag] ciflow/inductor/3b9a386 -> ciflow/inductor/3b9a386 2025-08-14T21:23:35.5592948Z * [new tag] ciflow/inductor/3d4b92b -> ciflow/inductor/3d4b92b 2025-08-14T21:23:35.5597292Z * [new tag] ciflow/inductor/d224ac7 -> ciflow/inductor/d224ac7 2025-08-14T21:23:35.5597952Z * [new tag] ciflow/linux-aarch64/147855 -> ciflow/linux-aarch64/147855 2025-08-14T21:23:35.5598114Z * [new tag] ciflow/linux-aarch64/157994 -> ciflow/linux-aarch64/157994 2025-08-14T21:23:35.5598485Z * [new tag] ciflow/linux-aarch64/159737 -> ciflow/linux-aarch64/159737 2025-08-14T21:23:35.5598652Z * [new tag] ciflow/linux-aarch64/160078 -> ciflow/linux-aarch64/160078 2025-08-14T21:23:35.5598802Z * [new tag] ciflow/linux-aarch64/160299 -> ciflow/linux-aarch64/160299 2025-08-14T21:23:35.5598952Z * [new tag] ciflow/linux-aarch64/160301 -> ciflow/linux-aarch64/160301 2025-08-14T21:23:35.5599081Z * [new tag] ciflow/mps/155923 -> ciflow/mps/155923 2025-08-14T21:23:35.5599202Z * [new tag] ciflow/mps/157553 -> ciflow/mps/157553 2025-08-14T21:23:35.5599323Z * [new tag] ciflow/mps/157635 -> ciflow/mps/157635 2025-08-14T21:23:35.5599435Z * [new tag] ciflow/mps/160541 -> ciflow/mps/160541 2025-08-14T21:23:35.5599579Z * [new tag] ciflow/nightly/156049 -> ciflow/nightly/156049 2025-08-14T21:23:35.5599716Z * [new tag] ciflow/nightly/158104 -> ciflow/nightly/158104 2025-08-14T21:23:35.5599879Z * [new tag] ciflow/op-benchmark/157994 -> ciflow/op-benchmark/157994 2025-08-14T21:23:35.5600760Z * [new tag] ciflow/periodic-rocm-mi300/139971 -> ciflow/periodic-rocm-mi300/139971 2025-08-14T21:23:35.5600957Z * [new tag] ciflow/periodic-rocm-mi300/160073 -> ciflow/periodic-rocm-mi300/160073 2025-08-14T21:23:35.5601837Z * [new tag] ciflow/periodic-rocm-mi300/160538 -> ciflow/periodic-rocm-mi300/160538 2025-08-14T21:23:35.5602218Z * [new tag] ciflow/periodic/054a2fd -> ciflow/periodic/054a2fd 2025-08-14T21:23:35.5602960Z * [new tag] ciflow/periodic/131296 -> ciflow/periodic/131296 2025-08-14T21:23:35.5603247Z * [new tag] ciflow/periodic/139971 -> ciflow/periodic/139971 2025-08-14T21:23:35.5603750Z * [new tag] ciflow/periodic/143959 -> ciflow/periodic/143959 2025-08-14T21:23:35.5604130Z * [new tag] ciflow/periodic/154595 -> ciflow/periodic/154595 2025-08-14T21:23:35.5605144Z * [new tag] ciflow/periodic/156703 -> ciflow/periodic/156703 2025-08-14T21:23:35.5605292Z * [new tag] ciflow/periodic/160201 -> ciflow/periodic/160201 2025-08-14T21:23:35.5606292Z * [new tag] ciflow/periodic/160424 -> ciflow/periodic/160424 2025-08-14T21:23:35.5606515Z * [new tag] ciflow/periodic/160538 -> ciflow/periodic/160538 2025-08-14T21:23:35.5607149Z * [new tag] ciflow/periodic/1febab2a89302464f6c7d69cfbef7a24c421ea65 -> ciflow/periodic/1febab2a89302464f6c7d69cfbef7a24c421ea65 2025-08-14T21:23:35.5608684Z * [new tag] ciflow/periodic/2a6d37d -> ciflow/periodic/2a6d37d 2025-08-14T21:23:35.5609020Z * [new tag] ciflow/periodic/2ee22e435131369a7e4f8cc4732579acc29a941b -> ciflow/periodic/2ee22e435131369a7e4f8cc4732579acc29a941b 2025-08-14T21:23:35.5609236Z * [new tag] ciflow/periodic/317eeb8 -> ciflow/periodic/317eeb8 2025-08-14T21:23:35.5609637Z * [new tag] ciflow/periodic/3c32 -> ciflow/periodic/3c32 2025-08-14T21:23:35.5610352Z * [new tag] ciflow/periodic/3e98831 -> ciflow/periodic/3e98831 2025-08-14T21:23:35.5611121Z * [new tag] ciflow/periodic/4a773e1e867f28a8ff0b15203e5cd9548f74fcee -> ciflow/periodic/4a773e1e867f28a8ff0b15203e5cd9548f74fcee 2025-08-14T21:23:35.5611733Z * [new tag] ciflow/periodic/5f5f508aa836a46dfe88857fb223049616b94e93 -> ciflow/periodic/5f5f508aa836a46dfe88857fb223049616b94e93 2025-08-14T21:23:35.5612377Z * [new tag] ciflow/periodic/94512-point -> ciflow/periodic/94512-point 2025-08-14T21:23:35.5613638Z * [new tag] ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519 2025-08-14T21:23:35.5613892Z * [new tag] ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275 2025-08-14T21:23:35.5614726Z * [new tag] ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761 2025-08-14T21:23:35.5615281Z * [new tag] ciflow/periodic/d7114f05b10de8e6de81ffc567d63944c3117d51 -> ciflow/periodic/d7114f05b10de8e6de81ffc567d63944c3117d51 2025-08-14T21:23:35.5619774Z * [new tag] ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12 2025-08-14T21:23:35.5619970Z * [new tag] ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0 2025-08-14T21:23:35.5620141Z * [new tag] ciflow/periodic/sha-ec5b83 -> ciflow/periodic/sha-ec5b83 2025-08-14T21:23:35.5620282Z * [new tag] ciflow/rocm-mi300/151360 -> ciflow/rocm-mi300/151360 2025-08-14T21:23:35.5620423Z * [new tag] ciflow/rocm-mi300/159158 -> ciflow/rocm-mi300/159158 2025-08-14T21:23:35.5620551Z * [new tag] ciflow/rocm-mi300/160073 -> ciflow/rocm-mi300/160073 2025-08-14T21:23:35.5620691Z * [new tag] ciflow/rocm-mi300/160468 -> ciflow/rocm-mi300/160468 2025-08-14T21:23:35.5620829Z * [new tag] ciflow/rocm-mi300/160538 -> ciflow/rocm-mi300/160538 2025-08-14T21:23:35.5620953Z * [new tag] ciflow/rocm-mi355/160215 -> ciflow/rocm-mi355/160215 2025-08-14T21:23:35.5621073Z * [new tag] ciflow/rocm/148492 -> ciflow/rocm/148492 2025-08-14T21:23:35.5621303Z * [new tag] ciflow/rocm/151360 -> ciflow/rocm/151360 2025-08-14T21:23:35.5621609Z * [new tag] ciflow/rocm/151845 -> ciflow/rocm/151845 2025-08-14T21:23:35.5622130Z * [new tag] ciflow/rocm/154864 -> ciflow/rocm/154864 2025-08-14T21:23:35.5622549Z * [new tag] ciflow/rocm/156491 -> ciflow/rocm/156491 2025-08-14T21:23:35.5623435Z * [new tag] ciflow/rocm/158219 -> ciflow/rocm/158219 2025-08-14T21:23:35.5623877Z * [new tag] ciflow/rocm/158220 -> ciflow/rocm/158220 2025-08-14T21:23:35.5624100Z * [new tag] ciflow/rocm/158224 -> ciflow/rocm/158224 2025-08-14T21:23:35.5624668Z * [new tag] ciflow/rocm/159158 -> ciflow/rocm/159158 2025-08-14T21:23:35.5625101Z * [new tag] ciflow/rocm/160215 -> ciflow/rocm/160215 2025-08-14T21:23:35.5625265Z * [new tag] ciflow/rocm/160468 -> ciflow/rocm/160468 2025-08-14T21:23:35.5626369Z * [new tag] ciflow/rocm/160538 -> ciflow/rocm/160538 2025-08-14T21:23:35.5626590Z * [new tag] ciflow/s390/143959 -> ciflow/s390/143959 2025-08-14T21:23:35.5627652Z * [new tag] ciflow/slow/01c7106 -> ciflow/slow/01c7106 2025-08-14T21:23:35.5628836Z * [new tag] ciflow/slow/0577043 -> ciflow/slow/0577043 2025-08-14T21:23:35.5629335Z * [new tag] ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym 2025-08-14T21:23:35.5629677Z * [new tag] ciflow/slow/0e81104 -> ciflow/slow/0e81104 2025-08-14T21:23:35.5630306Z * [new tag] ciflow/slow/154595 -> ciflow/slow/154595 2025-08-14T21:23:35.5630453Z * [new tag] ciflow/slow/1732077 -> ciflow/slow/1732077 2025-08-14T21:23:35.5630781Z * [new tag] ciflow/slow/187eb7c -> ciflow/slow/187eb7c 2025-08-14T21:23:35.5631673Z * [new tag] ciflow/slow/1faef89 -> ciflow/slow/1faef89 2025-08-14T21:23:35.5632183Z * [new tag] ciflow/slow/3920ec1 -> ciflow/slow/3920ec1 2025-08-14T21:23:35.5633127Z * [new tag] ciflow/slow/3b7c6b2 -> ciflow/slow/3b7c6b2 2025-08-14T21:23:35.5634056Z * [new tag] ciflow/slow/59a3759 -> ciflow/slow/59a3759 2025-08-14T21:23:35.5634353Z * [new tag] ciflow/slow/70ef0bb -> ciflow/slow/70ef0bb 2025-08-14T21:23:35.5635032Z * [new tag] ciflow/slow/788ff06 -> ciflow/slow/788ff06 2025-08-14T21:23:35.5636131Z * [new tag] ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym 2025-08-14T21:23:35.5636561Z * [new tag] ciflow/slow/9d85864 -> ciflow/slow/9d85864 2025-08-14T21:23:35.5636897Z * [new tag] ciflow/slow/9ffad5b -> ciflow/slow/9ffad5b 2025-08-14T21:23:35.5637436Z * [new tag] ciflow/slow/a206e8b -> ciflow/slow/a206e8b 2025-08-14T21:23:35.5638002Z * [new tag] ciflow/slow/a837609 -> ciflow/slow/a837609 2025-08-14T21:23:35.5638821Z * [new tag] ciflow/slow/af841f3 -> ciflow/slow/af841f3 2025-08-14T21:23:35.5639527Z * [new tag] ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym 2025-08-14T21:23:35.5639993Z * [new tag] ciflow/trunk/131296 -> ciflow/trunk/131296 2025-08-14T21:23:35.5640300Z * [new tag] ciflow/trunk/137400 -> ciflow/trunk/137400 2025-08-14T21:23:35.5640963Z * [new tag] ciflow/trunk/138996 -> ciflow/trunk/138996 2025-08-14T21:23:35.5641254Z * [new tag] ciflow/trunk/139971 -> ciflow/trunk/139971 2025-08-14T21:23:35.5641940Z * [new tag] ciflow/trunk/147360 -> ciflow/trunk/147360 2025-08-14T21:23:35.5642130Z * [new tag] ciflow/trunk/147855 -> ciflow/trunk/147855 2025-08-14T21:23:35.5642842Z * [new tag] ciflow/trunk/148180 -> ciflow/trunk/148180 2025-08-14T21:23:35.5643109Z * [new tag] ciflow/trunk/148328 -> ciflow/trunk/148328 2025-08-14T21:23:35.5643695Z * [new tag] ciflow/trunk/148492 -> ciflow/trunk/148492 2025-08-14T21:23:35.5644130Z * [new tag] ciflow/trunk/150282 -> ciflow/trunk/150282 2025-08-14T21:23:35.5644968Z * [new tag] ciflow/trunk/150302 -> ciflow/trunk/150302 2025-08-14T21:23:35.5645395Z * [new tag] ciflow/trunk/151845 -> ciflow/trunk/151845 2025-08-14T21:23:35.5646176Z * [new tag] ciflow/trunk/152624 -> ciflow/trunk/152624 2025-08-14T21:23:35.5646544Z * [new tag] ciflow/trunk/154193 -> ciflow/trunk/154193 2025-08-14T21:23:35.5647137Z * [new tag] ciflow/trunk/154595 -> ciflow/trunk/154595 2025-08-14T21:23:35.5647515Z * [new tag] ciflow/trunk/154650 -> ciflow/trunk/154650 2025-08-14T21:23:35.5648101Z * [new tag] ciflow/trunk/154694 -> ciflow/trunk/154694 2025-08-14T21:23:35.5648525Z * [new tag] ciflow/trunk/155958 -> ciflow/trunk/155958 2025-08-14T21:23:35.5649742Z * [new tag] ciflow/trunk/156049 -> ciflow/trunk/156049 2025-08-14T21:23:35.5650044Z * [new tag] ciflow/trunk/156703 -> ciflow/trunk/156703 2025-08-14T21:23:35.5650169Z * [new tag] ciflow/trunk/156851 -> ciflow/trunk/156851 2025-08-14T21:23:35.5650748Z * [new tag] ciflow/trunk/157148 -> ciflow/trunk/157148 2025-08-14T21:23:35.5651143Z * [new tag] ciflow/trunk/157152 -> ciflow/trunk/157152 2025-08-14T21:23:35.5651841Z * [new tag] ciflow/trunk/157432 -> ciflow/trunk/157432 2025-08-14T21:23:35.5652403Z * [new tag] ciflow/trunk/157685 -> ciflow/trunk/157685 2025-08-14T21:23:35.5652837Z * [new tag] ciflow/trunk/157689 -> ciflow/trunk/157689 2025-08-14T21:23:35.5653094Z * [new tag] ciflow/trunk/157699 -> ciflow/trunk/157699 2025-08-14T21:23:35.5653701Z * [new tag] ciflow/trunk/157813 -> ciflow/trunk/157813 2025-08-14T21:23:35.5654181Z * [new tag] ciflow/trunk/157994 -> ciflow/trunk/157994 2025-08-14T21:23:35.5655104Z * [new tag] ciflow/trunk/158091 -> ciflow/trunk/158091 2025-08-14T21:23:35.5655393Z * [new tag] ciflow/trunk/158104 -> ciflow/trunk/158104 2025-08-14T21:23:35.5655986Z * [new tag] ciflow/trunk/158219 -> ciflow/trunk/158219 2025-08-14T21:23:35.5656387Z * [new tag] ciflow/trunk/158220 -> ciflow/trunk/158220 2025-08-14T21:23:35.5656971Z * [new tag] ciflow/trunk/158224 -> ciflow/trunk/158224 2025-08-14T21:23:35.5658148Z * [new tag] ciflow/trunk/158529 -> ciflow/trunk/158529 2025-08-14T21:23:35.5658479Z * [new tag] ciflow/trunk/158647 -> ciflow/trunk/158647 2025-08-14T21:23:35.5658595Z * [new tag] ciflow/trunk/158810 -> ciflow/trunk/158810 2025-08-14T21:23:35.5658723Z * [new tag] ciflow/trunk/158812 -> ciflow/trunk/158812 2025-08-14T21:23:35.5659320Z * [new tag] ciflow/trunk/158863 -> ciflow/trunk/158863 2025-08-14T21:23:35.5659647Z * [new tag] ciflow/trunk/158864 -> ciflow/trunk/158864 2025-08-14T21:23:35.5660137Z * [new tag] ciflow/trunk/158883 -> ciflow/trunk/158883 2025-08-14T21:23:35.5661063Z * [new tag] ciflow/trunk/158914 -> ciflow/trunk/158914 2025-08-14T21:23:35.5661491Z * [new tag] ciflow/trunk/158965 -> ciflow/trunk/158965 2025-08-14T21:23:35.5661784Z * [new tag] ciflow/trunk/158987 -> ciflow/trunk/158987 2025-08-14T21:23:35.5662182Z * [new tag] ciflow/trunk/159033 -> ciflow/trunk/159033 2025-08-14T21:23:35.5662855Z * [new tag] ciflow/trunk/159140 -> ciflow/trunk/159140 2025-08-14T21:23:35.5663138Z * [new tag] ciflow/trunk/159158 -> ciflow/trunk/159158 2025-08-14T21:23:35.5663708Z * [new tag] ciflow/trunk/159553 -> ciflow/trunk/159553 2025-08-14T21:23:35.5664092Z * [new tag] ciflow/trunk/159562 -> ciflow/trunk/159562 2025-08-14T21:23:35.5664945Z * [new tag] ciflow/trunk/159682 -> ciflow/trunk/159682 2025-08-14T21:23:35.5665174Z * [new tag] ciflow/trunk/159691 -> ciflow/trunk/159691 2025-08-14T21:23:35.5666506Z * [new tag] ciflow/trunk/159842 -> ciflow/trunk/159842 2025-08-14T21:23:35.5666645Z * [new tag] ciflow/trunk/159889 -> ciflow/trunk/159889 2025-08-14T21:23:35.5666965Z * [new tag] ciflow/trunk/159923 -> ciflow/trunk/159923 2025-08-14T21:23:35.5668419Z * [new tag] ciflow/trunk/160004 -> ciflow/trunk/160004 2025-08-14T21:23:35.5669059Z * [new tag] ciflow/trunk/160113 -> ciflow/trunk/160113 2025-08-14T21:23:35.5669361Z * [new tag] ciflow/trunk/160161 -> ciflow/trunk/160161 2025-08-14T21:23:35.5669561Z * [new tag] ciflow/trunk/160168 -> ciflow/trunk/160168 2025-08-14T21:23:35.5672711Z * [new tag] ciflow/trunk/160181 -> ciflow/trunk/160181 2025-08-14T21:23:35.5673024Z * [new tag] ciflow/trunk/160183 -> ciflow/trunk/160183 2025-08-14T21:23:35.5673157Z * [new tag] ciflow/trunk/160190 -> ciflow/trunk/160190 2025-08-14T21:23:35.5673295Z * [new tag] ciflow/trunk/160198 -> ciflow/trunk/160198 2025-08-14T21:23:35.5673409Z * [new tag] ciflow/trunk/160205 -> ciflow/trunk/160205 2025-08-14T21:23:35.5673528Z * [new tag] ciflow/trunk/160219 -> ciflow/trunk/160219 2025-08-14T21:23:35.5673639Z * [new tag] ciflow/trunk/160224 -> ciflow/trunk/160224 2025-08-14T21:23:35.5673751Z * [new tag] ciflow/trunk/160250 -> ciflow/trunk/160250 2025-08-14T21:23:35.5674074Z * [new tag] ciflow/trunk/160253 -> ciflow/trunk/160253 2025-08-14T21:23:35.5674196Z * [new tag] ciflow/trunk/160335 -> ciflow/trunk/160335 2025-08-14T21:23:35.5674319Z * [new tag] ciflow/trunk/160338 -> ciflow/trunk/160338 2025-08-14T21:23:35.5674455Z * [new tag] ciflow/trunk/160383 -> ciflow/trunk/160383 2025-08-14T21:23:35.5674985Z * [new tag] ciflow/trunk/160401 -> ciflow/trunk/160401 2025-08-14T21:23:35.5675139Z * [new tag] ciflow/trunk/160403 -> ciflow/trunk/160403 2025-08-14T21:23:35.5679521Z * [new tag] ciflow/trunk/160430 -> ciflow/trunk/160430 2025-08-14T21:23:35.5680104Z * [new tag] ciflow/trunk/160431 -> ciflow/trunk/160431 2025-08-14T21:23:35.5680370Z * [new tag] ciflow/trunk/160439 -> ciflow/trunk/160439 2025-08-14T21:23:35.5680543Z * [new tag] ciflow/trunk/160449 -> ciflow/trunk/160449 2025-08-14T21:23:35.5680658Z * [new tag] ciflow/trunk/160454 -> ciflow/trunk/160454 2025-08-14T21:23:35.5680779Z * [new tag] ciflow/trunk/160468 -> ciflow/trunk/160468 2025-08-14T21:23:35.5680891Z * [new tag] ciflow/trunk/160481 -> ciflow/trunk/160481 2025-08-14T21:23:35.5681004Z * [new tag] ciflow/trunk/160485 -> ciflow/trunk/160485 2025-08-14T21:23:35.5681125Z * [new tag] ciflow/trunk/160519 -> ciflow/trunk/160519 2025-08-14T21:23:35.5681237Z * [new tag] ciflow/trunk/160527 -> ciflow/trunk/160527 2025-08-14T21:23:35.5682849Z * [new tag] ciflow/trunk/160560 -> ciflow/trunk/160560 2025-08-14T21:23:35.5682979Z * [new tag] ciflow/trunk/160578 -> ciflow/trunk/160578 2025-08-14T21:23:35.5683109Z * [new tag] ciflow/trunk/160589 -> ciflow/trunk/160589 2025-08-14T21:23:35.5683235Z * [new tag] ciflow/trunk/160592 -> ciflow/trunk/160592 2025-08-14T21:23:35.5683346Z * [new tag] ciflow/trunk/160649 -> ciflow/trunk/160649 2025-08-14T21:23:35.5683458Z * [new tag] ciflow/trunk/160656 -> ciflow/trunk/160656 2025-08-14T21:23:35.5683583Z * [new tag] ciflow/unstable/123 -> ciflow/unstable/123 2025-08-14T21:23:35.5683702Z * [new tag] ciflow/vllm/160116 -> ciflow/vllm/160116 2025-08-14T21:23:35.5683823Z * [new tag] ciflow/vllm/160583 -> ciflow/vllm/160583 2025-08-14T21:23:35.5684022Z * [new tag] ciflow/vllm/160619 -> ciflow/vllm/160619 2025-08-14T21:23:35.5684187Z * [new tag] ciflow/vllm/160625 -> ciflow/vllm/160625 2025-08-14T21:23:35.5685854Z * [new tag] ciflow/vllm/160627 -> ciflow/vllm/160627 2025-08-14T21:23:35.5686203Z * [new tag] ciflow/win-arm64/156049 -> ciflow/win-arm64/156049 2025-08-14T21:23:35.5686346Z * [new tag] ciflow/win-arm64/158104 -> ciflow/win-arm64/158104 2025-08-14T21:23:35.5686487Z * [new tag] ciflow/win-arm64/159553 -> ciflow/win-arm64/159553 2025-08-14T21:23:35.5686951Z * [new tag] ciflow/win-arm64/159562 -> ciflow/win-arm64/159562 2025-08-14T21:23:35.5687347Z * [new tag] ciflow/win-arm64/159777 -> ciflow/win-arm64/159777 2025-08-14T21:23:35.5687771Z * [new tag] ciflow/win-arm64/159780 -> ciflow/win-arm64/159780 2025-08-14T21:23:35.5688142Z * [new tag] ciflow/win-arm64/159842 -> ciflow/win-arm64/159842 2025-08-14T21:23:35.5688664Z * [new tag] ciflow/win-arm64/160250 -> ciflow/win-arm64/160250 2025-08-14T21:23:35.5689135Z * [new tag] ciflow/win-arm64/160253 -> ciflow/win-arm64/160253 2025-08-14T21:23:35.5690496Z * [new tag] ciflow/win-arm64/160454 -> ciflow/win-arm64/160454 2025-08-14T21:23:35.5690690Z * [new tag] ciflow/win-arm64/160560 -> ciflow/win-arm64/160560 2025-08-14T21:23:35.5690877Z * [new tag] ciflow/xpu/138996 -> ciflow/xpu/138996 2025-08-14T21:23:35.5691139Z * [new tag] ciflow/xpu/139971 -> ciflow/xpu/139971 2025-08-14T21:23:35.5691604Z * [new tag] ciflow/xpu/140972 -> ciflow/xpu/140972 2025-08-14T21:23:35.5692160Z * [new tag] ciflow/xpu/143553 -> ciflow/xpu/143553 2025-08-14T21:23:35.5692724Z * [new tag] ciflow/xpu/156272 -> ciflow/xpu/156272 2025-08-14T21:23:35.5693074Z * [new tag] ciflow/xpu/156812 -> ciflow/xpu/156812 2025-08-14T21:23:35.5693668Z * [new tag] ciflow/xpu/157699 -> ciflow/xpu/157699 2025-08-14T21:23:35.5694274Z * [new tag] ciflow/xpu/157994 -> ciflow/xpu/157994 2025-08-14T21:23:35.5694959Z * [new tag] ciflow/xpu/158336 -> ciflow/xpu/158336 2025-08-14T21:23:35.5695076Z * [new tag] ciflow/xpu/158733 -> ciflow/xpu/158733 2025-08-14T21:23:35.5695353Z * [new tag] ciflow/xpu/159033 -> ciflow/xpu/159033 2025-08-14T21:23:35.5696380Z * [new tag] ciflow/xpu/159118 -> ciflow/xpu/159118 2025-08-14T21:23:35.5700469Z * [new tag] ciflow/xpu/159140 -> ciflow/xpu/159140 2025-08-14T21:23:35.5700616Z * [new tag] ciflow/xpu/159241 -> ciflow/xpu/159241 2025-08-14T21:23:35.5700763Z * [new tag] ciflow/xpu/159473 -> ciflow/xpu/159473 2025-08-14T21:23:35.5700881Z * [new tag] ciflow/xpu/159474 -> ciflow/xpu/159474 2025-08-14T21:23:35.5701002Z * [new tag] ciflow/xpu/159553 -> ciflow/xpu/159553 2025-08-14T21:23:35.5701152Z * [new tag] ciflow/xpu/159944 -> ciflow/xpu/159944 2025-08-14T21:23:35.5701268Z * [new tag] ciflow/xpu/160062 -> ciflow/xpu/160062 2025-08-14T21:23:35.5701391Z * [new tag] ciflow/xpu/160067 -> ciflow/xpu/160067 2025-08-14T21:23:35.5701505Z * [new tag] ciflow/xpu/160158 -> ciflow/xpu/160158 2025-08-14T21:23:35.5701634Z * [new tag] ciflow/xpu/160173 -> ciflow/xpu/160173 2025-08-14T21:23:35.5701751Z * [new tag] ciflow/xpu/160183 -> ciflow/xpu/160183 2025-08-14T21:23:35.5701868Z * [new tag] ciflow/xpu/160301 -> ciflow/xpu/160301 2025-08-14T21:23:35.5702167Z * [new tag] ciflow/xpu/160403 -> ciflow/xpu/160403 2025-08-14T21:23:35.5703983Z * [new tag] ciflow/xpu/160606 -> ciflow/xpu/160606 2025-08-14T21:23:35.5704164Z * [new tag] cslpull75 -> cslpull75 2025-08-14T21:23:35.5704419Z * [new tag] cslpull76 -> cslpull76 2025-08-14T21:23:35.5704576Z * [new tag] cslpull77 -> cslpull77 2025-08-14T21:23:35.5705055Z * [new tag] cslpull78 -> cslpull78 2025-08-14T21:23:35.5707704Z * [new tag] cslpull79 -> cslpull79 2025-08-14T21:23:35.5707845Z * [new tag] cslpull80 -> cslpull80 2025-08-14T21:23:35.5708121Z * [new tag] cslpull81 -> cslpull81 2025-08-14T21:23:35.5708226Z * [new tag] cslpull82 -> cslpull82 2025-08-14T21:23:35.5708647Z * [new tag] cslpull83 -> cslpull83 2025-08-14T21:23:35.5709096Z * [new tag] cslpull84 -> cslpull84 2025-08-14T21:23:35.5713419Z * [new tag] cslpull85 -> cslpull85 2025-08-14T21:23:35.5713788Z * [new tag] cslpull86 -> cslpull86 2025-08-14T21:23:35.5713901Z * [new tag] cslpull87 -> cslpull87 2025-08-14T21:23:35.5714013Z * [new tag] cslpull88 -> cslpull88 2025-08-14T21:23:35.5714118Z * [new tag] cslpull89 -> cslpull89 2025-08-14T21:23:35.5714229Z * [new tag] cslpull90 -> cslpull90 2025-08-14T21:23:35.5714332Z * [new tag] cslpull91 -> cslpull91 2025-08-14T21:23:35.5714440Z * [new tag] cslpull92 -> cslpull92 2025-08-14T21:23:35.5714728Z * [new tag] flight_5 -> flight_5 2025-08-14T21:23:35.5719905Z * [new tag] flight_5.1 -> flight_5.1 2025-08-14T21:23:35.5720501Z * [new tag] flight_5.2 -> flight_5.2 2025-08-14T21:23:35.5720675Z * [new tag] flight_5.3 -> flight_5.3 2025-08-14T21:23:35.5720937Z * [new tag] forpull1 -> forpull1 2025-08-14T21:23:35.5721172Z * [new tag] malfet/tag-2ef5611 -> malfet/tag-2ef5611 2025-08-14T21:23:35.5721307Z * [new tag] malfet/tag-317b1a0 -> malfet/tag-317b1a0 2025-08-14T21:23:35.5721442Z * [new tag] malfet/tag-ec6f767 -> malfet/tag-ec6f767 2025-08-14T21:23:35.5721574Z * [new tag] nightly-binary -> nightly-binary 2025-08-14T21:23:35.5721721Z * [new tag] sqzhang_flight4_plus -> sqzhang_flight4_plus 2025-08-14T21:23:35.5721852Z * [new tag] sqzhang_flight_3 -> sqzhang_flight_3 2025-08-14T21:23:35.5724361Z * [new tag] trunk/01584d2a7d029c9749eb73678cf1dc313cc35df6 -> trunk/01584d2a7d029c9749eb73678cf1dc313cc35df6 2025-08-14T21:23:35.5724638Z * [new tag] trunk/017259f9c65b6fad55fb9597d7077e2543eaae46 -> trunk/017259f9c65b6fad55fb9597d7077e2543eaae46 2025-08-14T21:23:35.5724887Z * [new tag] trunk/01bcf9a40dea937637d2cdd530bed2652510943d -> trunk/01bcf9a40dea937637d2cdd530bed2652510943d 2025-08-14T21:23:35.5725130Z * [new tag] trunk/01f66d08d93365015f4af005a252f439c4d4013a -> trunk/01f66d08d93365015f4af005a252f439c4d4013a 2025-08-14T21:23:35.5725367Z * [new tag] trunk/03b254e49f2d4c092e6ca712e5702cf2895aa47e -> trunk/03b254e49f2d4c092e6ca712e5702cf2895aa47e 2025-08-14T21:23:35.5725646Z * [new tag] trunk/05029ad1c30865d3f7e7fd13384db9d826e563eb -> trunk/05029ad1c30865d3f7e7fd13384db9d826e563eb 2025-08-14T21:23:35.5725893Z * [new tag] trunk/05c19d1acecc01b0d2512364183058a6885b9869 -> trunk/05c19d1acecc01b0d2512364183058a6885b9869 2025-08-14T21:23:35.5726132Z * [new tag] trunk/05c417715f791875fbf28cfc3fc86142de1a3206 -> trunk/05c417715f791875fbf28cfc3fc86142de1a3206 2025-08-14T21:23:35.5726509Z * [new tag] trunk/06824f3c7268bb807a422b663047cd0900ddd126 -> trunk/06824f3c7268bb807a422b663047cd0900ddd126 2025-08-14T21:23:35.5728651Z * [new tag] trunk/077cb389746a7d61cfc018aad2ba29a8aa195610 -> trunk/077cb389746a7d61cfc018aad2ba29a8aa195610 2025-08-14T21:23:35.5728920Z * [new tag] trunk/089c4a1ba007ed4abb3e5e0eafd97b7584566057 -> trunk/089c4a1ba007ed4abb3e5e0eafd97b7584566057 2025-08-14T21:23:35.5729180Z * [new tag] trunk/09381f5dacda7bbbfa361f5df76bde5cd309adc1 -> trunk/09381f5dacda7bbbfa361f5df76bde5cd309adc1 2025-08-14T21:23:35.5729431Z * [new tag] trunk/0bd3af4fb87445f4de3a1f9b823e399c8b3cefde -> trunk/0bd3af4fb87445f4de3a1f9b823e399c8b3cefde 2025-08-14T21:23:35.5729685Z * [new tag] trunk/0d3461bac0fb5177e35152d980b301ea3a0aa2c4 -> trunk/0d3461bac0fb5177e35152d980b301ea3a0aa2c4 2025-08-14T21:23:35.5730316Z * [new tag] trunk/0d40ff3b496e68193bc16d5391fa2e3623709f81 -> trunk/0d40ff3b496e68193bc16d5391fa2e3623709f81 2025-08-14T21:23:35.5730694Z * [new tag] trunk/0d71ca2c46753bb268bfdcf815c14415c122a289 -> trunk/0d71ca2c46753bb268bfdcf815c14415c122a289 2025-08-14T21:23:35.5730932Z * [new tag] trunk/0d88593dd826544c9e7bd4aa615ef86847a78d2b -> trunk/0d88593dd826544c9e7bd4aa615ef86847a78d2b 2025-08-14T21:23:35.5733068Z * [new tag] trunk/0e3e377bd5126cfcc69d70c4d77b352d3404cc11 -> trunk/0e3e377bd5126cfcc69d70c4d77b352d3404cc11 2025-08-14T21:23:35.5733331Z * [new tag] trunk/0f3b10b8eebe68e3c75d473d499b87dfe14a2eca -> trunk/0f3b10b8eebe68e3c75d473d499b87dfe14a2eca 2025-08-14T21:23:35.5733702Z * [new tag] trunk/101276f81b4d2a8c31bfd6796b986d4c1bfdf483 -> trunk/101276f81b4d2a8c31bfd6796b986d4c1bfdf483 2025-08-14T21:23:35.5734422Z * [new tag] trunk/1028c5e2d50e121865bf98307e7c035f549a24b2 -> trunk/1028c5e2d50e121865bf98307e7c035f549a24b2 2025-08-14T21:23:35.5734746Z * [new tag] trunk/10bc36fe840cb3510fab84d2ea22663b76702f1e -> trunk/10bc36fe840cb3510fab84d2ea22663b76702f1e 2025-08-14T21:23:35.5735012Z * [new tag] trunk/10e3514c962b58cbbee994257872a626ff76d51b -> trunk/10e3514c962b58cbbee994257872a626ff76d51b 2025-08-14T21:23:35.5735278Z * [new tag] trunk/1128f4c2a822cbe34a9d966306af15097179ffe1 -> trunk/1128f4c2a822cbe34a9d966306af15097179ffe1 2025-08-14T21:23:35.5735581Z * [new tag] trunk/114a6c40434bfb9cfa5abc30e9e34d81300d743e -> trunk/114a6c40434bfb9cfa5abc30e9e34d81300d743e 2025-08-14T21:23:35.5735838Z * [new tag] trunk/118bc97b14c24ac88a4b0c0750a9e7bf93154c76 -> trunk/118bc97b14c24ac88a4b0c0750a9e7bf93154c76 2025-08-14T21:23:35.5736089Z * [new tag] trunk/1196bb1c2e4d5a7edc09f2260e3034132f0c6c91 -> trunk/1196bb1c2e4d5a7edc09f2260e3034132f0c6c91 2025-08-14T21:23:35.5736385Z * [new tag] trunk/11a3565f1872bbad9c253a127e8d4ce7a1b40ec8 -> trunk/11a3565f1872bbad9c253a127e8d4ce7a1b40ec8 2025-08-14T21:23:35.5742558Z * [new tag] trunk/15e49f61643e4c0eef420f0981609709ef55b848 -> trunk/15e49f61643e4c0eef420f0981609709ef55b848 2025-08-14T21:23:35.5743049Z * [new tag] trunk/16d15445f8bd8740095b23de4af89d757af793ca -> trunk/16d15445f8bd8740095b23de4af89d757af793ca 2025-08-14T21:23:35.5743504Z * [new tag] trunk/178515d0ff6833c8e9221482b2a650ab31e00019 -> trunk/178515d0ff6833c8e9221482b2a650ab31e00019 2025-08-14T21:23:35.5743867Z * [new tag] trunk/182efe31dbe43376e7eef7338356aaf94d5bcabe -> trunk/182efe31dbe43376e7eef7338356aaf94d5bcabe 2025-08-14T21:23:35.5744552Z * [new tag] trunk/194fcfcfbdad0add1a1b695321e31a576058f4cf -> trunk/194fcfcfbdad0add1a1b695321e31a576058f4cf 2025-08-14T21:23:35.5744867Z * [new tag] trunk/195b5c2e27eb8f21cbc8ad1e90f42db5a8cfccca -> trunk/195b5c2e27eb8f21cbc8ad1e90f42db5a8cfccca 2025-08-14T21:23:35.5745148Z * [new tag] trunk/198b5fd2d47fa3d5110ceba6827a3b18e0064014 -> trunk/198b5fd2d47fa3d5110ceba6827a3b18e0064014 2025-08-14T21:23:35.5745839Z * [new tag] trunk/199e9abb6a366bbd27c39d1da7c3123b4eea9b5a -> trunk/199e9abb6a366bbd27c39d1da7c3123b4eea9b5a 2025-08-14T21:23:35.5746112Z * [new tag] trunk/19b4283884b2d9b3a0eb364da10b1540d14ab7a7 -> trunk/19b4283884b2d9b3a0eb364da10b1540d14ab7a7 2025-08-14T21:23:35.5746368Z * [new tag] trunk/1c2587119152cec3905647a47c65d3d26619c5a8 -> trunk/1c2587119152cec3905647a47c65d3d26619c5a8 2025-08-14T21:23:35.5746620Z * [new tag] trunk/1c26c53851c212a7c90a325549a72f0571613a8c -> trunk/1c26c53851c212a7c90a325549a72f0571613a8c 2025-08-14T21:23:35.5746896Z * [new tag] trunk/1c2cba17eab2b09d87142883da2bdbdbcf018613 -> trunk/1c2cba17eab2b09d87142883da2bdbdbcf018613 2025-08-14T21:23:35.5747203Z * [new tag] trunk/1d80d697a269234b47ec7ede192faf3bb9b159e3 -> trunk/1d80d697a269234b47ec7ede192faf3bb9b159e3 2025-08-14T21:23:35.5747524Z * [new tag] trunk/1ea688f9a2602fbcde32c0302b822526ca4219dc -> trunk/1ea688f9a2602fbcde32c0302b822526ca4219dc 2025-08-14T21:23:35.5747745Z * [new tag] trunk/1f4057c11ac941fb324386ca594d0a6882185aad -> trunk/1f4057c11ac941fb324386ca594d0a6882185aad 2025-08-14T21:23:35.5747985Z * [new tag] trunk/1fc683cf17c8c673044538d10266c00f92987be2 -> trunk/1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:23:35.5748218Z * [new tag] trunk/1febab2a89302464f6c7d69cfbef7a24c421ea65 -> trunk/1febab2a89302464f6c7d69cfbef7a24c421ea65 2025-08-14T21:23:35.5748436Z * [new tag] trunk/206c1eef6571f906c2792d899a09136b3fce9673 -> trunk/206c1eef6571f906c2792d899a09136b3fce9673 2025-08-14T21:23:35.5748673Z * [new tag] trunk/20bdabbb3c5d6b118a94b2e045c777662563d5bb -> trunk/20bdabbb3c5d6b118a94b2e045c777662563d5bb 2025-08-14T21:23:35.5748900Z * [new tag] trunk/21392c0e06ac2b2621950455975ca6332f0bf641 -> trunk/21392c0e06ac2b2621950455975ca6332f0bf641 2025-08-14T21:23:35.5749141Z * [new tag] trunk/2247aa6d1d43e256255f5c74a781c3190a4387b6 -> trunk/2247aa6d1d43e256255f5c74a781c3190a4387b6 2025-08-14T21:23:35.5749375Z * [new tag] trunk/2259dbed4e0d3f2a8174b5847fd0741aed42451d -> trunk/2259dbed4e0d3f2a8174b5847fd0741aed42451d 2025-08-14T21:23:35.5749600Z * [new tag] trunk/231c72240d80091f099c95e326d3600cba866eee -> trunk/231c72240d80091f099c95e326d3600cba866eee 2025-08-14T21:23:35.5749838Z * [new tag] trunk/24257f5bfaa37795f74d9f64c1b43584128d4b8c -> trunk/24257f5bfaa37795f74d9f64c1b43584128d4b8c 2025-08-14T21:23:35.5750147Z * [new tag] trunk/24f43d0da7ad9c6e95a09a2fee610387728cc1cd -> trunk/24f43d0da7ad9c6e95a09a2fee610387728cc1cd 2025-08-14T21:23:35.5750546Z * [new tag] trunk/2898d3f965e5cd9d02fc2ecdab7c580fd457fea9 -> trunk/2898d3f965e5cd9d02fc2ecdab7c580fd457fea9 2025-08-14T21:23:35.5750814Z * [new tag] trunk/28ccc9e7247798980fe00a11bcd64a8016b5f227 -> trunk/28ccc9e7247798980fe00a11bcd64a8016b5f227 2025-08-14T21:23:35.5751172Z * [new tag] trunk/29712314dd5cf500a8ea3d1c69483a3cb768ca72 -> trunk/29712314dd5cf500a8ea3d1c69483a3cb768ca72 2025-08-14T21:23:35.5751417Z * [new tag] trunk/29d20d49f0b7f4e362e1cefdcdc4b5659969312c -> trunk/29d20d49f0b7f4e362e1cefdcdc4b5659969312c 2025-08-14T21:23:35.5751646Z * [new tag] trunk/2c5e10a5fceb208b11c3d569ae02e348b5893b31 -> trunk/2c5e10a5fceb208b11c3d569ae02e348b5893b31 2025-08-14T21:23:35.5751932Z * [new tag] trunk/2d0cdee394bccadcd0abe19dd4623ed978a331ad -> trunk/2d0cdee394bccadcd0abe19dd4623ed978a331ad 2025-08-14T21:23:35.5752187Z * [new tag] trunk/2e4e5ab4be9e0aeffd9c49b5b2f9f820bd0895b1 -> trunk/2e4e5ab4be9e0aeffd9c49b5b2f9f820bd0895b1 2025-08-14T21:23:35.5752475Z * [new tag] trunk/2ea40fba841b3af8103f332ba62e54f350ba9a51 -> trunk/2ea40fba841b3af8103f332ba62e54f350ba9a51 2025-08-14T21:23:35.5753139Z * [new tag] trunk/2ee22e435131369a7e4f8cc4732579acc29a941b -> trunk/2ee22e435131369a7e4f8cc4732579acc29a941b 2025-08-14T21:23:35.5753658Z * [new tag] trunk/2f4c2226175512af787725c4d5ad7313c60d4db1 -> trunk/2f4c2226175512af787725c4d5ad7313c60d4db1 2025-08-14T21:23:35.5754257Z * [new tag] trunk/3008d985a8fc155eb89374afff50cb33a6bd10d5 -> trunk/3008d985a8fc155eb89374afff50cb33a6bd10d5 2025-08-14T21:23:35.5754951Z * [new tag] trunk/3028fa6ce9d9c96671722ab8213a1a30670d7cf2 -> trunk/3028fa6ce9d9c96671722ab8213a1a30670d7cf2 2025-08-14T21:23:35.5755415Z * [new tag] trunk/303c614f3df95ae2b659c5f6c1838b14e4776ce6 -> trunk/303c614f3df95ae2b659c5f6c1838b14e4776ce6 2025-08-14T21:23:35.5759074Z * [new tag] trunk/305fa2239365ad17ac9c534a68bba8a149c42d67 -> trunk/305fa2239365ad17ac9c534a68bba8a149c42d67 2025-08-14T21:23:35.5759482Z * [new tag] trunk/31c9ac4319c0cc2ed8c6be701c6ccf73f6cb4706 -> trunk/31c9ac4319c0cc2ed8c6be701c6ccf73f6cb4706 2025-08-14T21:23:35.5760019Z * [new tag] trunk/32099961d588fc19ead8afe805d6b5108de75669 -> trunk/32099961d588fc19ead8afe805d6b5108de75669 2025-08-14T21:23:35.5760279Z * [new tag] trunk/32e5e2f596d55bb9441d5d53f3c58bcb55828047 -> trunk/32e5e2f596d55bb9441d5d53f3c58bcb55828047 2025-08-14T21:23:35.5760520Z * [new tag] trunk/334b38ccc4427b1d14981c48a3a0b92180d58225 -> trunk/334b38ccc4427b1d14981c48a3a0b92180d58225 2025-08-14T21:23:35.5760914Z * [new tag] trunk/334ecbd4ffe11858cae7d23d1190ddb4777c2513 -> trunk/334ecbd4ffe11858cae7d23d1190ddb4777c2513 2025-08-14T21:23:35.5761166Z * [new tag] trunk/33d94018668951611b318b7515ae96f04e48eac0 -> trunk/33d94018668951611b318b7515ae96f04e48eac0 2025-08-14T21:23:35.5763406Z * [new tag] trunk/34358f335d95213d96b6cca6a83e7bf3af6a9fcb -> trunk/34358f335d95213d96b6cca6a83e7bf3af6a9fcb 2025-08-14T21:23:35.5763754Z * [new tag] trunk/34ec5ed275f8aa875c80daa97b3e82af0b06f673 -> trunk/34ec5ed275f8aa875c80daa97b3e82af0b06f673 2025-08-14T21:23:35.5764001Z * [new tag] trunk/355462e1278d818deb9ef4a184073d5b66074816 -> trunk/355462e1278d818deb9ef4a184073d5b66074816 2025-08-14T21:23:35.5769819Z * [new tag] trunk/3626ba711b34397d1fbf0a9b1979f85cbf68b919 -> trunk/3626ba711b34397d1fbf0a9b1979f85cbf68b919 2025-08-14T21:23:35.5770434Z * [new tag] trunk/36f46d082a4954921cb8493223f000f2aab79ed7 -> trunk/36f46d082a4954921cb8493223f000f2aab79ed7 2025-08-14T21:23:35.5770706Z * [new tag] trunk/39aa3d1471549b7829c207d634dfdc1d26e346a2 -> trunk/39aa3d1471549b7829c207d634dfdc1d26e346a2 2025-08-14T21:23:35.5770964Z * [new tag] trunk/3a562374401113187ce2566b87e3f1d87d7c53aa -> trunk/3a562374401113187ce2566b87e3f1d87d7c53aa 2025-08-14T21:23:35.5771219Z * [new tag] trunk/3ac86e728dfaa7383ff7f865e9e7d33486188dae -> trunk/3ac86e728dfaa7383ff7f865e9e7d33486188dae 2025-08-14T21:23:35.5771492Z * [new tag] trunk/3be70dc30e893b552fc0f23ca06cd8f7949b6d08 -> trunk/3be70dc30e893b552fc0f23ca06cd8f7949b6d08 2025-08-14T21:23:35.5771738Z * [new tag] trunk/3cec82a7e9aea040a34dd7a2587ae6d3bd65dba0 -> trunk/3cec82a7e9aea040a34dd7a2587ae6d3bd65dba0 2025-08-14T21:23:35.5771978Z * [new tag] trunk/3cf7b4024ef83e44e9ae223dbff7c7ab68240cb2 -> trunk/3cf7b4024ef83e44e9ae223dbff7c7ab68240cb2 2025-08-14T21:23:35.5772225Z * [new tag] trunk/3ef2e1ef769582a82c6ddf150e9d11bf4bf1c44f -> trunk/3ef2e1ef769582a82c6ddf150e9d11bf4bf1c44f 2025-08-14T21:23:35.5772472Z * [new tag] trunk/3f1636ebef9b45e8a3cb0eb20d327ee6acb74be0 -> trunk/3f1636ebef9b45e8a3cb0eb20d327ee6acb74be0 2025-08-14T21:23:35.5772717Z * [new tag] trunk/3faee0a6318afcbbbb48687009a459214910d820 -> trunk/3faee0a6318afcbbbb48687009a459214910d820 2025-08-14T21:23:35.5773089Z * [new tag] trunk/3fcd79e023da7156ac584992ebab29205d3b7881 -> trunk/3fcd79e023da7156ac584992ebab29205d3b7881 2025-08-14T21:23:35.5773334Z * [new tag] trunk/3fe19a7a0af3f4d692af30476c320be18c7e8ae6 -> trunk/3fe19a7a0af3f4d692af30476c320be18c7e8ae6 2025-08-14T21:23:35.5773586Z * [new tag] trunk/41673110cd7c5960824cc74a6fcaeda1a8bc7a23 -> trunk/41673110cd7c5960824cc74a6fcaeda1a8bc7a23 2025-08-14T21:23:35.5773820Z * [new tag] trunk/4183d4ff3dcc1d87400326a9a7998c3f9e966f60 -> trunk/4183d4ff3dcc1d87400326a9a7998c3f9e966f60 2025-08-14T21:23:35.5774200Z * [new tag] trunk/422bd6808bb98cbbac31d157d9c82ad11ba9732d -> trunk/422bd6808bb98cbbac31d157d9c82ad11ba9732d 2025-08-14T21:23:35.5774454Z * [new tag] trunk/42e51cd4b3973a053fcfa80878a3f346fd158e9f -> trunk/42e51cd4b3973a053fcfa80878a3f346fd158e9f 2025-08-14T21:23:35.5774698Z * [new tag] trunk/4416433c7c625127b7f975c92f8ec98ea4c67fd3 -> trunk/4416433c7c625127b7f975c92f8ec98ea4c67fd3 2025-08-14T21:23:35.5775006Z * [new tag] trunk/45ba7ecda876685b083cbbe932450560c566826b -> trunk/45ba7ecda876685b083cbbe932450560c566826b 2025-08-14T21:23:35.5779447Z * [new tag] trunk/47a1db823dfcdacdb99f317428fc3791a18c5812 -> trunk/47a1db823dfcdacdb99f317428fc3791a18c5812 2025-08-14T21:23:35.5779687Z * [new tag] trunk/4a773e1e867f28a8ff0b15203e5cd9548f74fcee -> trunk/4a773e1e867f28a8ff0b15203e5cd9548f74fcee 2025-08-14T21:23:35.5779923Z * [new tag] trunk/4a90dc0c1f68d1f98832b169f792ed1bb195a0f3 -> trunk/4a90dc0c1f68d1f98832b169f792ed1bb195a0f3 2025-08-14T21:23:35.5780179Z * [new tag] trunk/4cde0acc0e4e795e1a12cbdd9b93c8c04c1fa05d -> trunk/4cde0acc0e4e795e1a12cbdd9b93c8c04c1fa05d 2025-08-14T21:23:35.5780404Z * [new tag] trunk/4d419a74610c32b1372f8802dcc61893740a23cf -> trunk/4d419a74610c32b1372f8802dcc61893740a23cf 2025-08-14T21:23:35.5780650Z * [new tag] trunk/4d5b3f2d5af7c8e4f41da4ffca53fafe8bb86235 -> trunk/4d5b3f2d5af7c8e4f41da4ffca53fafe8bb86235 2025-08-14T21:23:35.5780910Z * [new tag] trunk/4e2ddb5db67617f9f5309c8bba0c17adc84cadbc -> trunk/4e2ddb5db67617f9f5309c8bba0c17adc84cadbc 2025-08-14T21:23:35.5781156Z * [new tag] trunk/50a8c118754a6c5a46968f5c8e215ccba6831d42 -> trunk/50a8c118754a6c5a46968f5c8e215ccba6831d42 2025-08-14T21:23:35.5781408Z * [new tag] trunk/50f23ff6f883db5021dd6bab4c146434f98dd15d -> trunk/50f23ff6f883db5021dd6bab4c146434f98dd15d 2025-08-14T21:23:35.5784974Z * [new tag] trunk/515cb70367e84fcbad23fcc5b39eb1d7706df2aa -> trunk/515cb70367e84fcbad23fcc5b39eb1d7706df2aa 2025-08-14T21:23:35.5785612Z * [new tag] trunk/53e39494958b7e2278cc8176f63636e812e8945f -> trunk/53e39494958b7e2278cc8176f63636e812e8945f 2025-08-14T21:23:35.5785889Z * [new tag] trunk/556e2a73f4f0643f7c2aeb5c7dddda43388a40ce -> trunk/556e2a73f4f0643f7c2aeb5c7dddda43388a40ce 2025-08-14T21:23:35.5786188Z * [new tag] trunk/5665dc9ab76b84d7c90d845ffb0f6349b3621919 -> trunk/5665dc9ab76b84d7c90d845ffb0f6349b3621919 2025-08-14T21:23:35.5786416Z * [new tag] trunk/566c6d52ef1411c8262d7b9cf85e2044fdfbe1a3 -> trunk/566c6d52ef1411c8262d7b9cf85e2044fdfbe1a3 2025-08-14T21:23:35.5786653Z * [new tag] trunk/56c828bef93eada0e18d2cc013207831ca80cc99 -> trunk/56c828bef93eada0e18d2cc013207831ca80cc99 2025-08-14T21:23:35.5786860Z * [new tag] trunk/5737372862253a0ac0292407a5844796f02380ad -> trunk/5737372862253a0ac0292407a5844796f02380ad 2025-08-14T21:23:35.5787083Z * [new tag] trunk/57f738b6357cc8fcdde479a0948e723809a1a44d -> trunk/57f738b6357cc8fcdde479a0948e723809a1a44d 2025-08-14T21:23:35.5787305Z * [new tag] trunk/5a40c5784482255b9baf14086cc4b9349fc6d512 -> trunk/5a40c5784482255b9baf14086cc4b9349fc6d512 2025-08-14T21:23:35.5787535Z * [new tag] trunk/5a9c4cfce42b9eb87da0de40c5633f083115c307 -> trunk/5a9c4cfce42b9eb87da0de40c5633f083115c307 2025-08-14T21:23:35.5787963Z * [new tag] trunk/5ace061254af71aa83d1baae81aa1864c9746add -> trunk/5ace061254af71aa83d1baae81aa1864c9746add 2025-08-14T21:23:35.5789861Z * [new tag] trunk/5dddcd5b07c6644efca8d613f4eca1dc95daa87f -> trunk/5dddcd5b07c6644efca8d613f4eca1dc95daa87f 2025-08-14T21:23:35.5790093Z * [new tag] trunk/5ed4f9177907fe403ec4c4499d0d0e9be6b68fcf -> trunk/5ed4f9177907fe403ec4c4499d0d0e9be6b68fcf 2025-08-14T21:23:35.5790326Z * [new tag] trunk/5f1010fbb3850d99c8fdf9a9de2f79260cdc586a -> trunk/5f1010fbb3850d99c8fdf9a9de2f79260cdc586a 2025-08-14T21:23:35.5790543Z * [new tag] trunk/5f5f508aa836a46dfe88857fb223049616b94e93 -> trunk/5f5f508aa836a46dfe88857fb223049616b94e93 2025-08-14T21:23:35.5790770Z * [new tag] trunk/62bac0798100e0e06a86b7a4cee1788413e3d0ca -> trunk/62bac0798100e0e06a86b7a4cee1788413e3d0ca 2025-08-14T21:23:35.5791061Z * [new tag] trunk/63654ba4c5178fd12220cfc9d1c878af2fdd07cc -> trunk/63654ba4c5178fd12220cfc9d1c878af2fdd07cc 2025-08-14T21:23:35.5791285Z * [new tag] trunk/639778b3ee3b80e0894367fdc4442b58ae1b3a62 -> trunk/639778b3ee3b80e0894367fdc4442b58ae1b3a62 2025-08-14T21:23:35.5791496Z * [new tag] trunk/641ee7478150f26969968f49d8b358e199679a8a -> trunk/641ee7478150f26969968f49d8b358e199679a8a 2025-08-14T21:23:35.5793588Z * [new tag] trunk/65053c03a3d209060cb239d20a229dac37cf9dd1 -> trunk/65053c03a3d209060cb239d20a229dac37cf9dd1 2025-08-14T21:23:35.5793850Z * [new tag] trunk/652a6f5954d039d61dc6e6575ccf89d385d74537 -> trunk/652a6f5954d039d61dc6e6575ccf89d385d74537 2025-08-14T21:23:35.5794107Z * [new tag] trunk/685f15dbea66e8ffa8564752f81ad2f6cb447a14 -> trunk/685f15dbea66e8ffa8564752f81ad2f6cb447a14 2025-08-14T21:23:35.5794347Z * [new tag] trunk/68a4b4b2e336cfd4451ce6546d900568e5ddf96c -> trunk/68a4b4b2e336cfd4451ce6546d900568e5ddf96c 2025-08-14T21:23:35.5794595Z * [new tag] trunk/69a0a9aa7f5e320a02e97fa789d2f72baff1554f -> trunk/69a0a9aa7f5e320a02e97fa789d2f72baff1554f 2025-08-14T21:23:35.5794842Z * [new tag] trunk/6be6d06295c870c77a6eb69f96b3170d983520d5 -> trunk/6be6d06295c870c77a6eb69f96b3170d983520d5 2025-08-14T21:23:35.5795093Z * [new tag] trunk/6c05ea6475beaf3acc05e1bda0f3f8fe3bdc1d49 -> trunk/6c05ea6475beaf3acc05e1bda0f3f8fe3bdc1d49 2025-08-14T21:23:35.5795343Z * [new tag] trunk/6da11d9aafc0d84dc7f66030c181608ff2614f66 -> trunk/6da11d9aafc0d84dc7f66030c181608ff2614f66 2025-08-14T21:23:35.5801953Z * [new tag] trunk/6e8865fbc161270e2ffc52817e6c667df417a3f7 -> trunk/6e8865fbc161270e2ffc52817e6c667df417a3f7 2025-08-14T21:23:35.5802216Z * [new tag] trunk/6ea8376f84232048d6be0f7b2edf82aec1b61d58 -> trunk/6ea8376f84232048d6be0f7b2edf82aec1b61d58 2025-08-14T21:23:35.5802452Z * [new tag] trunk/6ee175195ac7853734d64704171993cc6265eb38 -> trunk/6ee175195ac7853734d64704171993cc6265eb38 2025-08-14T21:23:35.5802699Z * [new tag] trunk/6f0f4e0c3eacd479864319127915f869f64e1935 -> trunk/6f0f4e0c3eacd479864319127915f869f64e1935 2025-08-14T21:23:35.5802931Z * [new tag] trunk/70ccdec44b89e355a2cb03ba14a634284f7750f8 -> trunk/70ccdec44b89e355a2cb03ba14a634284f7750f8 2025-08-14T21:23:35.5803160Z * [new tag] trunk/72009ec6bebca7714f99c18449183787f202af4d -> trunk/72009ec6bebca7714f99c18449183787f202af4d 2025-08-14T21:23:35.5803382Z * [new tag] trunk/731ee31f7b6ba19307daab323f6196172b71aaf8 -> trunk/731ee31f7b6ba19307daab323f6196172b71aaf8 2025-08-14T21:23:35.5803620Z * [new tag] trunk/76a0609b6bddb2bc40f1eb4ade12885023653d59 -> trunk/76a0609b6bddb2bc40f1eb4ade12885023653d59 2025-08-14T21:23:35.5803863Z * [new tag] trunk/781e9a7724c47496e3d38a81e6dd6194cf098c41 -> trunk/781e9a7724c47496e3d38a81e6dd6194cf098c41 2025-08-14T21:23:35.5804262Z * [new tag] trunk/78a2fe1d42edeaa2ef7020b0fa0ac82ee4a640e4 -> trunk/78a2fe1d42edeaa2ef7020b0fa0ac82ee4a640e4 2025-08-14T21:23:35.5804522Z * [new tag] trunk/7a974a88f2c529a614baeabe4debd00fc8a3b299 -> trunk/7a974a88f2c529a614baeabe4debd00fc8a3b299 2025-08-14T21:23:35.5804763Z * [new tag] trunk/7ae0629d64b404e0ef5d9c931433ad25e65d6114 -> trunk/7ae0629d64b404e0ef5d9c931433ad25e65d6114 2025-08-14T21:23:35.5805016Z * [new tag] trunk/7d2ec704e47f4b740cdecda5534b305e8e1875ef -> trunk/7d2ec704e47f4b740cdecda5534b305e8e1875ef 2025-08-14T21:23:35.5805259Z * [new tag] trunk/7d87e358ac8440f666fabbfd99058bb5342be6ac -> trunk/7d87e358ac8440f666fabbfd99058bb5342be6ac 2025-08-14T21:23:35.5805504Z * [new tag] trunk/7e27347fd353928c99620495c8c531a5eba7d56b -> trunk/7e27347fd353928c99620495c8c531a5eba7d56b 2025-08-14T21:23:35.5805728Z * [new tag] trunk/7e91394955721c77645fcdb75a5d47a255d65020 -> trunk/7e91394955721c77645fcdb75a5d47a255d65020 2025-08-14T21:23:35.5806010Z * [new tag] trunk/7f4cb4a3e018a621add2a37a3a2f67b982d51001 -> trunk/7f4cb4a3e018a621add2a37a3a2f67b982d51001 2025-08-14T21:23:35.5806233Z * [new tag] trunk/7fbc22855c17741ae016992803b2e147a13aa22d -> trunk/7fbc22855c17741ae016992803b2e147a13aa22d 2025-08-14T21:23:35.5806465Z * [new tag] trunk/8047421fbb607d70ede13b9cd5a60b7b8bdfe348 -> trunk/8047421fbb607d70ede13b9cd5a60b7b8bdfe348 2025-08-14T21:23:35.5806689Z * [new tag] trunk/8088cfa592504a2897b4c78f8a46fe658ab5c2c2 -> trunk/8088cfa592504a2897b4c78f8a46fe658ab5c2c2 2025-08-14T21:23:35.5808913Z * [new tag] trunk/80cca8307943ba64168208b54028f55b2c71daff -> trunk/80cca8307943ba64168208b54028f55b2c71daff 2025-08-14T21:23:35.5809172Z * [new tag] trunk/8147370733bbdcd034cad54e9212e51885a11892 -> trunk/8147370733bbdcd034cad54e9212e51885a11892 2025-08-14T21:23:35.5809867Z * [new tag] trunk/83875cdb5594ccb3c9206b8eb5745fe1d011cf26 -> trunk/83875cdb5594ccb3c9206b8eb5745fe1d011cf26 2025-08-14T21:23:35.5810153Z * [new tag] trunk/8399cf88ce8399d2be93355f29d4cb69f51c0654 -> trunk/8399cf88ce8399d2be93355f29d4cb69f51c0654 2025-08-14T21:23:35.5810505Z * [new tag] trunk/842cc77ab9aafd518593c2fce077d6abb42a5b7f -> trunk/842cc77ab9aafd518593c2fce077d6abb42a5b7f 2025-08-14T21:23:35.5810765Z * [new tag] trunk/85db508af533649d0b3447ff3f0d5fe083150c84 -> trunk/85db508af533649d0b3447ff3f0d5fe083150c84 2025-08-14T21:23:35.5811026Z * [new tag] trunk/86eb65f7f06016bcd5d7951dc9d74bc3993a827a -> trunk/86eb65f7f06016bcd5d7951dc9d74bc3993a827a 2025-08-14T21:23:35.5811290Z * [new tag] trunk/87e6c4079d8ec7d04aff00ed82096b39836a8367 -> trunk/87e6c4079d8ec7d04aff00ed82096b39836a8367 2025-08-14T21:23:35.5811554Z * [new tag] trunk/89654db1abccf7e5f261989a150db4d1619ea2aa -> trunk/89654db1abccf7e5f261989a150db4d1619ea2aa 2025-08-14T21:23:35.5811849Z * [new tag] trunk/8a37f0c90392a2c38b7c5955471fa49edcaf5cb1 -> trunk/8a37f0c90392a2c38b7c5955471fa49edcaf5cb1 2025-08-14T21:23:35.5812109Z * [new tag] trunk/8ab5868a2199fe485c2d66533b9244ccb97e487d -> trunk/8ab5868a2199fe485c2d66533b9244ccb97e487d 2025-08-14T21:23:35.5812349Z * [new tag] trunk/8ae4d2652f64b8444b3d5314b9232bd2119bcde6 -> trunk/8ae4d2652f64b8444b3d5314b9232bd2119bcde6 2025-08-14T21:23:35.5812604Z * [new tag] trunk/8c41cb800ae0411f02ea5da34bd5ccc3790633b0 -> trunk/8c41cb800ae0411f02ea5da34bd5ccc3790633b0 2025-08-14T21:23:35.5812852Z * [new tag] trunk/8cb91e20bc205b1416648d0ffd98d1ba1f3a6fc4 -> trunk/8cb91e20bc205b1416648d0ffd98d1ba1f3a6fc4 2025-08-14T21:23:35.5813394Z * [new tag] trunk/8cfaf51d4e29c9bd9f49ecc98d955ed53df1a13d -> trunk/8cfaf51d4e29c9bd9f49ecc98d955ed53df1a13d 2025-08-14T21:23:35.5813822Z * [new tag] trunk/8d1cf529229dce7cd5ea04abb0faac83b87ca6d1 -> trunk/8d1cf529229dce7cd5ea04abb0faac83b87ca6d1 2025-08-14T21:23:35.5815158Z * [new tag] trunk/8d3d1c844303cb1d46123a1caa76d4cf83973347 -> trunk/8d3d1c844303cb1d46123a1caa76d4cf83973347 2025-08-14T21:23:35.5815420Z * [new tag] trunk/8d6d3246316e1767a57d5e855acd6208da753b75 -> trunk/8d6d3246316e1767a57d5e855acd6208da753b75 2025-08-14T21:23:35.5816129Z * [new tag] trunk/8e6a3138581152ab827a0997f34c470271399f5e -> trunk/8e6a3138581152ab827a0997f34c470271399f5e 2025-08-14T21:23:35.5816730Z * [new tag] trunk/8eee08d2279b98af2522debb6512d37e837e89e3 -> trunk/8eee08d2279b98af2522debb6512d37e837e89e3 2025-08-14T21:23:35.5817341Z * [new tag] trunk/90b78ee50f73b5c963996076a3d54b74b1b965be -> trunk/90b78ee50f73b5c963996076a3d54b74b1b965be 2025-08-14T21:23:35.5817805Z * [new tag] trunk/94b91a876327820a4bb6f5d39d156f13f2553ab6 -> trunk/94b91a876327820a4bb6f5d39d156f13f2553ab6 2025-08-14T21:23:35.5819208Z * [new tag] trunk/95210cc409dd578988c7116b47725c304dea54c7 -> trunk/95210cc409dd578988c7116b47725c304dea54c7 2025-08-14T21:23:35.5819465Z * [new tag] trunk/96bd33b2de79598566df395f32e27c4d33673f05 -> trunk/96bd33b2de79598566df395f32e27c4d33673f05 2025-08-14T21:23:35.5820896Z * [new tag] trunk/9708fcf92db88b80b9010c68662d634434da3106 -> trunk/9708fcf92db88b80b9010c68662d634434da3106 2025-08-14T21:23:35.5821182Z * [new tag] trunk/97c8c98f8dcb9c5c188b691d156e0043dba6c7f8 -> trunk/97c8c98f8dcb9c5c188b691d156e0043dba6c7f8 2025-08-14T21:23:35.5821434Z * [new tag] trunk/9903ca4f70bdc1653016256f5b4fd74fdfc609f8 -> trunk/9903ca4f70bdc1653016256f5b4fd74fdfc609f8 2025-08-14T21:23:35.5822081Z * [new tag] trunk/99bc2f94c1955657e950ebdad5f77e518785ccbd -> trunk/99bc2f94c1955657e950ebdad5f77e518785ccbd 2025-08-14T21:23:35.5822386Z * [new tag] trunk/9a06e6d0310da9d8a59ae05e8ec9c0201b55cacd -> trunk/9a06e6d0310da9d8a59ae05e8ec9c0201b55cacd 2025-08-14T21:23:35.5822897Z * [new tag] trunk/9a0f7a3bb01b235ea04581ee540970a098071b72 -> trunk/9a0f7a3bb01b235ea04581ee540970a098071b72 2025-08-14T21:23:35.5823491Z * [new tag] trunk/9b803cdbe298009f08340c1aaccb25aafbca95d8 -> trunk/9b803cdbe298009f08340c1aaccb25aafbca95d8 2025-08-14T21:23:35.5827110Z * [new tag] trunk/9ccd0f5e31ea54fcf42101dfbaacc103494e34df -> trunk/9ccd0f5e31ea54fcf42101dfbaacc103494e34df 2025-08-14T21:23:35.5827404Z * [new tag] trunk/9d37c960a4fc44d5ac334ca8bf775f85b95d76fc -> trunk/9d37c960a4fc44d5ac334ca8bf775f85b95d76fc 2025-08-14T21:23:35.5827668Z * [new tag] trunk/9e07673deb212c87b1c6fea23799a97474c476ed -> trunk/9e07673deb212c87b1c6fea23799a97474c476ed 2025-08-14T21:23:35.5827938Z * [new tag] trunk/9eedd2a20b64302d0d116ea2802b50948d2ebb09 -> trunk/9eedd2a20b64302d0d116ea2802b50948d2ebb09 2025-08-14T21:23:35.5828239Z * [new tag] trunk/9fa8ce26cf638504469852cbc3e7d04579fc8674 -> trunk/9fa8ce26cf638504469852cbc3e7d04579fc8674 2025-08-14T21:23:35.5828497Z * [new tag] trunk/a06ec54d40013c97fbffc174ea8f524ea5a95715 -> trunk/a06ec54d40013c97fbffc174ea8f524ea5a95715 2025-08-14T21:23:35.5828751Z * [new tag] trunk/a288b15ea9f87ddd665f249d492e0fb0861f5a69 -> trunk/a288b15ea9f87ddd665f249d492e0fb0861f5a69 2025-08-14T21:23:35.5829032Z * [new tag] trunk/a2fd106d670bb4990cebfd00f25ecbae4145e76c -> trunk/a2fd106d670bb4990cebfd00f25ecbae4145e76c 2025-08-14T21:23:35.5834004Z * [new tag] trunk/a354fa91e26b376d96385a2206c5ff5b42aa4600 -> trunk/a354fa91e26b376d96385a2206c5ff5b42aa4600 2025-08-14T21:23:35.5834304Z * [new tag] trunk/a4f69a5da08eace1c1e6469dec6a18aa842da73b -> trunk/a4f69a5da08eace1c1e6469dec6a18aa842da73b 2025-08-14T21:23:35.5835039Z * [new tag] trunk/a53d14d5f846ac44f6c205abb1c5bc4d2f3126ae -> trunk/a53d14d5f846ac44f6c205abb1c5bc4d2f3126ae 2025-08-14T21:23:35.5836094Z * [new tag] trunk/a5652407e4f3d772fc44486ac2abf756decf0861 -> trunk/a5652407e4f3d772fc44486ac2abf756decf0861 2025-08-14T21:23:35.5836415Z * [new tag] trunk/a7abf57aabec0ce686092e2d66e53ba185dbc56b -> trunk/a7abf57aabec0ce686092e2d66e53ba185dbc56b 2025-08-14T21:23:35.5836669Z * [new tag] trunk/a84b60c0c4016785fd93b7b8a0c04f2d0770d332 -> trunk/a84b60c0c4016785fd93b7b8a0c04f2d0770d332 2025-08-14T21:23:35.5837246Z * [new tag] trunk/aa75e917bdb0f95bb6dee81853c2d3c4ab3e1883 -> trunk/aa75e917bdb0f95bb6dee81853c2d3c4ab3e1883 2025-08-14T21:23:35.5844852Z * [new tag] trunk/adcca7d9a1c053495e99012de801b2ea237faad0 -> trunk/adcca7d9a1c053495e99012de801b2ea237faad0 2025-08-14T21:23:35.5845355Z * [new tag] trunk/af10f1f86cc4effc93142a447693d8be55966615 -> trunk/af10f1f86cc4effc93142a447693d8be55966615 2025-08-14T21:23:35.5845629Z * [new tag] trunk/af3cabc55d5699f4da528e1ca39d83338f84ae8c -> trunk/af3cabc55d5699f4da528e1ca39d83338f84ae8c 2025-08-14T21:23:35.5846220Z * [new tag] trunk/b0df7715e8c590c0001d1f9cdb97057be80c9107 -> trunk/b0df7715e8c590c0001d1f9cdb97057be80c9107 2025-08-14T21:23:35.5846494Z * [new tag] trunk/b149c7204c218e7c4d6594a89dd74f72bd480ec5 -> trunk/b149c7204c218e7c4d6594a89dd74f72bd480ec5 2025-08-14T21:23:35.5846730Z * [new tag] trunk/b1a602762e6a6674b406a3137e7e7a678885a97b -> trunk/b1a602762e6a6674b406a3137e7e7a678885a97b 2025-08-14T21:23:35.5846973Z * [new tag] trunk/b1f43548cad8fc0e30bda250f6e196310fa7a4bc -> trunk/b1f43548cad8fc0e30bda250f6e196310fa7a4bc 2025-08-14T21:23:35.5847256Z * [new tag] trunk/b219ca2a00a305753c4f1ea4c9c5d23243d54753 -> trunk/b219ca2a00a305753c4f1ea4c9c5d23243d54753 2025-08-14T21:23:35.5847498Z * [new tag] trunk/b4596895b9d85a686c2cb978938b0a7797b3690a -> trunk/b4596895b9d85a686c2cb978938b0a7797b3690a 2025-08-14T21:23:35.5847770Z * [new tag] trunk/b5fd7223b1bf44720dc9183bda7dfcf7aeccff02 -> trunk/b5fd7223b1bf44720dc9183bda7dfcf7aeccff02 2025-08-14T21:23:35.5848026Z * [new tag] trunk/b602ea9cab7d43a7ee7b4051227090f23fbd3dbf -> trunk/b602ea9cab7d43a7ee7b4051227090f23fbd3dbf 2025-08-14T21:23:35.5848291Z * [new tag] trunk/b6b74aed604bd2e96389ff99aaaf39abc64fdc64 -> trunk/b6b74aed604bd2e96389ff99aaaf39abc64fdc64 2025-08-14T21:23:35.5848551Z * [new tag] trunk/b7db86600a2614adc71c92ca42d359a7ac534d78 -> trunk/b7db86600a2614adc71c92ca42d359a7ac534d78 2025-08-14T21:23:35.5848794Z * [new tag] trunk/b9003ed3d87699e81e436719625a21996a6654e5 -> trunk/b9003ed3d87699e81e436719625a21996a6654e5 2025-08-14T21:23:35.5849064Z * [new tag] trunk/b90feeac86bda00afc2789321bcd706015ff44e3 -> trunk/b90feeac86bda00afc2789321bcd706015ff44e3 2025-08-14T21:23:35.5849639Z * [new tag] trunk/b9d7de3a094598c3dc0dd52e57bce30eb684c9d8 -> trunk/b9d7de3a094598c3dc0dd52e57bce30eb684c9d8 2025-08-14T21:23:35.5849946Z * [new tag] trunk/ba47821f524eee50a214ed39fa2e7765d54aabf4 -> trunk/ba47821f524eee50a214ed39fa2e7765d54aabf4 2025-08-14T21:23:35.5850210Z * [new tag] trunk/ba4ccf5d67e3d237f435eacc2bce3c6025f08491 -> trunk/ba4ccf5d67e3d237f435eacc2bce3c6025f08491 2025-08-14T21:23:35.5850471Z * [new tag] trunk/bcf23ecc476df2bd7479f142567213e2623308ee -> trunk/bcf23ecc476df2bd7479f142567213e2623308ee 2025-08-14T21:23:35.5850767Z * [new tag] trunk/be53f609aaf6f01e2863f490975ea9eaac3ee9ff -> trunk/be53f609aaf6f01e2863f490975ea9eaac3ee9ff 2025-08-14T21:23:35.5851187Z * [new tag] trunk/beb4d7816dedc67a5de1f82e5a45b5910f407941 -> trunk/beb4d7816dedc67a5de1f82e5a45b5910f407941 2025-08-14T21:23:35.5851465Z * [new tag] trunk/bfc873d02ec413344717493e4175a902921359fd -> trunk/bfc873d02ec413344717493e4175a902921359fd 2025-08-14T21:23:35.5852339Z * [new tag] trunk/c184cb3852f0ff2d16a489d61abc3739c309e6ca -> trunk/c184cb3852f0ff2d16a489d61abc3739c309e6ca 2025-08-14T21:23:35.5852817Z * [new tag] trunk/c24ca7f4bf79f62fd623d76346ca27e53f731431 -> trunk/c24ca7f4bf79f62fd623d76346ca27e53f731431 2025-08-14T21:23:35.5853117Z * [new tag] trunk/c3dc8dc4122977893004c49d10e4676cd0a97da4 -> trunk/c3dc8dc4122977893004c49d10e4676cd0a97da4 2025-08-14T21:23:35.5854642Z * [new tag] trunk/c5ec5458a547f7a774468ea0eb2258d3de596492 -> trunk/c5ec5458a547f7a774468ea0eb2258d3de596492 2025-08-14T21:23:35.5854930Z * [new tag] trunk/c5efc5c8a66eca84865015058b3221013ebfe685 -> trunk/c5efc5c8a66eca84865015058b3221013ebfe685 2025-08-14T21:23:35.5855216Z * [new tag] trunk/c6563341208003f64c131854a9cf029555f786d2 -> trunk/c6563341208003f64c131854a9cf029555f786d2 2025-08-14T21:23:35.5855971Z * [new tag] trunk/c6d78d4dbda53837d298d23a5fbc09af90a42d9e -> trunk/c6d78d4dbda53837d298d23a5fbc09af90a42d9e 2025-08-14T21:23:35.5856782Z * [new tag] trunk/c8205cb35435f39d2c26f6c94b45e4adeb6dcb23 -> trunk/c8205cb35435f39d2c26f6c94b45e4adeb6dcb23 2025-08-14T21:23:35.5857150Z * [new tag] trunk/c859ba7114b1fcb49527e090745fa17091d1f8d5 -> trunk/c859ba7114b1fcb49527e090745fa17091d1f8d5 2025-08-14T21:23:35.5859048Z * [new tag] trunk/c86040a8e68f754b90a84099187d3624954c7f36 -> trunk/c86040a8e68f754b90a84099187d3624954c7f36 2025-08-14T21:23:35.5859634Z * [new tag] trunk/c9671dc865aa0fc1cb86df754e355b44d8e02bb4 -> trunk/c9671dc865aa0fc1cb86df754e355b44d8e02bb4 2025-08-14T21:23:35.5863459Z * [new tag] trunk/ca7315c17162ea21b1ca5ba23f4bf6168766c7b9 -> trunk/ca7315c17162ea21b1ca5ba23f4bf6168766c7b9 2025-08-14T21:23:35.5863857Z * [new tag] trunk/cae2b5e3d223829bdc553fc8601df4b1c1554cff -> trunk/cae2b5e3d223829bdc553fc8601df4b1c1554cff 2025-08-14T21:23:35.5864155Z * [new tag] trunk/cbffde774557752cf20447d42d99ec6102673c31 -> trunk/cbffde774557752cf20447d42d99ec6102673c31 2025-08-14T21:23:35.5864467Z * [new tag] trunk/cd8d8c18f5bafdc1c73d5ac0129e7b4d76ab45bc -> trunk/cd8d8c18f5bafdc1c73d5ac0129e7b4d76ab45bc 2025-08-14T21:23:35.5864728Z * [new tag] trunk/cf0a0dcb0afa5e84b95461cc542f862b51ca96bf -> trunk/cf0a0dcb0afa5e84b95461cc542f862b51ca96bf 2025-08-14T21:23:35.5864992Z * [new tag] trunk/cf4964be68fa9f4ffc334f01cce42d7424b1cc81 -> trunk/cf4964be68fa9f4ffc334f01cce42d7424b1cc81 2025-08-14T21:23:35.5865249Z * [new tag] trunk/d0e2240f680ea2a553f7ee8188f52482e130bfd0 -> trunk/d0e2240f680ea2a553f7ee8188f52482e130bfd0 2025-08-14T21:23:35.5865505Z * [new tag] trunk/d1950d4bb5cba8fb6b23e4d283eea5b9801737e2 -> trunk/d1950d4bb5cba8fb6b23e4d283eea5b9801737e2 2025-08-14T21:23:35.5865825Z * [new tag] trunk/d20c4c20e61adecf00335c4d8c22eb1ace472cd3 -> trunk/d20c4c20e61adecf00335c4d8c22eb1ace472cd3 2025-08-14T21:23:35.5868428Z * [new tag] trunk/d25c4f954d599ea512e2f70cd6df101c21479d4c -> trunk/d25c4f954d599ea512e2f70cd6df101c21479d4c 2025-08-14T21:23:35.5868722Z * [new tag] trunk/d3d359dbafa89173a371e2637f22b47398e94a24 -> trunk/d3d359dbafa89173a371e2637f22b47398e94a24 2025-08-14T21:23:35.5868965Z * [new tag] trunk/d46768db04499d07a5b0db984112a6d1b7d3b0c1 -> trunk/d46768db04499d07a5b0db984112a6d1b7d3b0c1 2025-08-14T21:23:35.5869216Z * [new tag] trunk/d4c1a08c89f37d249a0146ff511c82ecc5c53b8f -> trunk/d4c1a08c89f37d249a0146ff511c82ecc5c53b8f 2025-08-14T21:23:35.5869459Z * [new tag] trunk/d556586448f3caab85673c7da0978fe31c7748f7 -> trunk/d556586448f3caab85673c7da0978fe31c7748f7 2025-08-14T21:23:35.5869691Z * [new tag] trunk/d670304001429a1a833255a918ed788d7ec4989a -> trunk/d670304001429a1a833255a918ed788d7ec4989a 2025-08-14T21:23:35.5869937Z * [new tag] trunk/d6786741a77aba200c78002646cc069b7a1799b0 -> trunk/d6786741a77aba200c78002646cc069b7a1799b0 2025-08-14T21:23:35.5873728Z * [new tag] trunk/d68c323692dedcbb74e670801e3502944fd790ff -> trunk/d68c323692dedcbb74e670801e3502944fd790ff 2025-08-14T21:23:35.5873992Z * [new tag] trunk/d8cb3db5339b45e4b745b2b883ef3ecde9843e2c -> trunk/d8cb3db5339b45e4b745b2b883ef3ecde9843e2c 2025-08-14T21:23:35.5874250Z * [new tag] trunk/da1f608ca33f3062535d0a4866d95db19e72fcbd -> trunk/da1f608ca33f3062535d0a4866d95db19e72fcbd 2025-08-14T21:23:35.5874518Z * [new tag] trunk/db0b7f1cc9bb3fe71aaf8b964a644147ae8e1c35 -> trunk/db0b7f1cc9bb3fe71aaf8b964a644147ae8e1c35 2025-08-14T21:23:35.5874766Z * [new tag] trunk/db32b60662b2f2bdcad980127d5dc4b66b02a7e4 -> trunk/db32b60662b2f2bdcad980127d5dc4b66b02a7e4 2025-08-14T21:23:35.5875005Z * [new tag] trunk/db763b17175553ba09637362eb9773a91997a7ad -> trunk/db763b17175553ba09637362eb9773a91997a7ad 2025-08-14T21:23:35.5875302Z * [new tag] trunk/db78943a1ca13a32a3d6045eb15e2b719ee13a2f -> trunk/db78943a1ca13a32a3d6045eb15e2b719ee13a2f 2025-08-14T21:23:35.5875560Z * [new tag] trunk/dc0d18e023d9b7e314ebba0f234b6cb1579dbcfd -> trunk/dc0d18e023d9b7e314ebba0f234b6cb1579dbcfd 2025-08-14T21:23:35.5875830Z * [new tag] trunk/dd21c8a578038ab2841a7ba809a06921093ac9d8 -> trunk/dd21c8a578038ab2841a7ba809a06921093ac9d8 2025-08-14T21:23:35.5878319Z * [new tag] trunk/deea71a90e05eb320c04bebfead5317746637f0d -> trunk/deea71a90e05eb320c04bebfead5317746637f0d 2025-08-14T21:23:35.5878595Z * [new tag] trunk/df55ec7d4b35f6d21691e9dd41c82f27de762948 -> trunk/df55ec7d4b35f6d21691e9dd41c82f27de762948 2025-08-14T21:23:35.5878862Z * [new tag] trunk/e1cf0d496ea85d1807c8c740f296e77bf7bdc1df -> trunk/e1cf0d496ea85d1807c8c740f296e77bf7bdc1df 2025-08-14T21:23:35.5879111Z * [new tag] trunk/e248719ac03c103767ab72034f6b9fd56855bf98 -> trunk/e248719ac03c103767ab72034f6b9fd56855bf98 2025-08-14T21:23:35.5879379Z * [new tag] trunk/e49762026070f66be41bfa6537fbcf9bfc24e558 -> trunk/e49762026070f66be41bfa6537fbcf9bfc24e558 2025-08-14T21:23:35.5879633Z * [new tag] trunk/e4de93f6a3e342bab34d3757cf90ec0ccc87e168 -> trunk/e4de93f6a3e342bab34d3757cf90ec0ccc87e168 2025-08-14T21:23:35.5879897Z * [new tag] trunk/e619c6bb90b9dedaccd3cbeed86a288993a4e33f -> trunk/e619c6bb90b9dedaccd3cbeed86a288993a4e33f 2025-08-14T21:23:35.5880144Z * [new tag] trunk/e63c2b21c186a7d2ab8a8953b8aa1535f2e96e58 -> trunk/e63c2b21c186a7d2ab8a8953b8aa1535f2e96e58 2025-08-14T21:23:35.5880395Z * [new tag] trunk/e7152ff8a6a929a0db7f3f4a72a5b6d471769cd3 -> trunk/e7152ff8a6a929a0db7f3f4a72a5b6d471769cd3 2025-08-14T21:23:35.5883044Z * [new tag] trunk/e96c7c4bb0f6aeae2ab3b6f040f7d67edbec199a -> trunk/e96c7c4bb0f6aeae2ab3b6f040f7d67edbec199a 2025-08-14T21:23:35.5883810Z * [new tag] trunk/e9eb2096a59a79e7a94c3e28a0715e040369f34c -> trunk/e9eb2096a59a79e7a94c3e28a0715e040369f34c 2025-08-14T21:23:35.5884133Z * [new tag] trunk/eac2d9d695a32dd456050f45cac35134ec3809f4 -> trunk/eac2d9d695a32dd456050f45cac35134ec3809f4 2025-08-14T21:23:35.5884373Z * [new tag] trunk/ecde76c764752540edf9ef62a97936c86d984b17 -> trunk/ecde76c764752540edf9ef62a97936c86d984b17 2025-08-14T21:23:35.5884635Z * [new tag] trunk/ecea81117b2fdc52907c97b3c32d779e07b5d55b -> trunk/ecea81117b2fdc52907c97b3c32d779e07b5d55b 2025-08-14T21:23:35.5884878Z * [new tag] trunk/edaa151d0d5a4e75fbec9843f49cc78770eb61fb -> trunk/edaa151d0d5a4e75fbec9843f49cc78770eb61fb 2025-08-14T21:23:35.5885125Z * [new tag] trunk/ee1b0412b919dfb358d5a697b3be49621497fbc2 -> trunk/ee1b0412b919dfb358d5a697b3be49621497fbc2 2025-08-14T21:23:35.5885356Z * [new tag] trunk/ee1fb43450c2e985657f95a91b68328d6f20f24e -> trunk/ee1fb43450c2e985657f95a91b68328d6f20f24e 2025-08-14T21:23:35.5885793Z * [new tag] trunk/ee89cc7a0acd69de25f98fe4ef828546db7b444c -> trunk/ee89cc7a0acd69de25f98fe4ef828546db7b444c 2025-08-14T21:23:35.5886066Z * [new tag] trunk/ee9f8ba11d664b871a9e0c7933fdc8571635b78c -> trunk/ee9f8ba11d664b871a9e0c7933fdc8571635b78c 2025-08-14T21:23:35.5886324Z * [new tag] trunk/eed9dbf70f43ee529fec78ac00ed9a4fd74c6e76 -> trunk/eed9dbf70f43ee529fec78ac00ed9a4fd74c6e76 2025-08-14T21:23:35.5886583Z * [new tag] trunk/f077c2402e4eb5b0ed562b4ee5b7a0503f26ef94 -> trunk/f077c2402e4eb5b0ed562b4ee5b7a0503f26ef94 2025-08-14T21:23:35.5888915Z * [new tag] trunk/f0980fc0bbd656d6c02d23ad97e945353b314f35 -> trunk/f0980fc0bbd656d6c02d23ad97e945353b314f35 2025-08-14T21:23:35.5889418Z * [new tag] trunk/f15ada5c6fad97a7dcbfa4673f067b6942dda640 -> trunk/f15ada5c6fad97a7dcbfa4673f067b6942dda640 2025-08-14T21:23:35.5889783Z * [new tag] trunk/f27232a2134150cb5e55d26a74d8c36c6a961ca5 -> trunk/f27232a2134150cb5e55d26a74d8c36c6a961ca5 2025-08-14T21:23:35.5890148Z * [new tag] trunk/f33ce40bc062a281e1a1f57e8c1926d0a7d155cc -> trunk/f33ce40bc062a281e1a1f57e8c1926d0a7d155cc 2025-08-14T21:23:35.5890515Z * [new tag] trunk/f341077ce4710172da20cfad916ee37159bfe9fe -> trunk/f341077ce4710172da20cfad916ee37159bfe9fe 2025-08-14T21:23:35.5890762Z * [new tag] trunk/f3a4d742ece08de4cb0e59dcc62e0093a7d0b0c7 -> trunk/f3a4d742ece08de4cb0e59dcc62e0093a7d0b0c7 2025-08-14T21:23:35.5891083Z * [new tag] trunk/f3f159ff8c4bad2edec99c68a941c628e983d04c -> trunk/f3f159ff8c4bad2edec99c68a941c628e983d04c 2025-08-14T21:23:35.5891390Z * [new tag] trunk/f60454cce8b93e5bbf67f2f3c88c8ac01ed65457 -> trunk/f60454cce8b93e5bbf67f2f3c88c8ac01ed65457 2025-08-14T21:23:35.5891691Z * [new tag] trunk/f7b2f3314cf7aede67d5fa5c75e4243208484344 -> trunk/f7b2f3314cf7aede67d5fa5c75e4243208484344 2025-08-14T21:23:35.5892056Z * [new tag] trunk/f8f0414a5983ff481a2188e0c18594150430c8c5 -> trunk/f8f0414a5983ff481a2188e0c18594150430c8c5 2025-08-14T21:23:35.5892383Z * [new tag] trunk/f95b58c2844b3444cd8446fed8570729dc4216eb -> trunk/f95b58c2844b3444cd8446fed8570729dc4216eb 2025-08-14T21:23:35.5892694Z * [new tag] trunk/f990490a23815ea6ee27e487c70ba2cf513ba43d -> trunk/f990490a23815ea6ee27e487c70ba2cf513ba43d 2025-08-14T21:23:35.5893422Z * [new tag] trunk/fb887c3bb588cfe782615e67f6c26db636b8539b -> trunk/fb887c3bb588cfe782615e67f6c26db636b8539b 2025-08-14T21:23:35.5895869Z * [new tag] trunk/fc25c68f20f772290927a7031b998b92615259cf -> trunk/fc25c68f20f772290927a7031b998b92615259cf 2025-08-14T21:23:35.5896133Z * [new tag] trunk/fc80f6859e0ccf66513a40f04b9e735e759d4ddb -> trunk/fc80f6859e0ccf66513a40f04b9e735e759d4ddb 2025-08-14T21:23:35.5896410Z * [new tag] trunk/fdfd69bb05488d76123db9cc1cdd90ac4137bbfb -> trunk/fdfd69bb05488d76123db9cc1cdd90ac4137bbfb 2025-08-14T21:23:35.5900239Z * [new tag] trunk/fe3f5fe4ea2ff6f56406dc5d954636ebb08d0a08 -> trunk/fe3f5fe4ea2ff6f56406dc5d954636ebb08d0a08 2025-08-14T21:23:35.5900496Z * [new tag] trunk/fea7e9dd37c02c334b130f6624af6163fde6b2ab -> trunk/fea7e9dd37c02c334b130f6624af6163fde6b2ab 2025-08-14T21:23:35.5900748Z * [new tag] trunk/ff0d56d03592aa03f3ced8359241d21df1783393 -> trunk/ff0d56d03592aa03f3ced8359241d21df1783393 2025-08-14T21:23:35.5900866Z * [new tag] v0.1.1 -> v0.1.1 2025-08-14T21:23:35.5900981Z * [new tag] v0.1.10 -> v0.1.10 2025-08-14T21:23:35.5901093Z * [new tag] v0.1.11 -> v0.1.11 2025-08-14T21:23:35.5901189Z * [new tag] v0.1.12 -> v0.1.12 2025-08-14T21:23:35.5901296Z * [new tag] v0.1.2 -> v0.1.2 2025-08-14T21:23:35.5901402Z * [new tag] v0.1.3 -> v0.1.3 2025-08-14T21:23:35.5901996Z * [new tag] v0.1.4 -> v0.1.4 2025-08-14T21:23:35.5902445Z * [new tag] v0.1.5 -> v0.1.5 2025-08-14T21:23:35.5902955Z * [new tag] v0.1.6 -> v0.1.6 2025-08-14T21:23:35.5903432Z * [new tag] v0.1.7 -> v0.1.7 2025-08-14T21:23:35.5903999Z * [new tag] v0.1.8 -> v0.1.8 2025-08-14T21:23:35.5904471Z * [new tag] v0.1.9 -> v0.1.9 2025-08-14T21:23:35.5905138Z * [new tag] v0.2.0 -> v0.2.0 2025-08-14T21:23:35.5905796Z * [new tag] v0.3.0 -> v0.3.0 2025-08-14T21:23:35.5906161Z * [new tag] v0.3.1 -> v0.3.1 2025-08-14T21:23:35.5907789Z * [new tag] v0.4.0 -> v0.4.0 2025-08-14T21:23:35.5908321Z * [new tag] v0.4.1 -> v0.4.1 2025-08-14T21:23:35.5908453Z * [new tag] v1.0.0 -> v1.0.0 2025-08-14T21:23:35.5908577Z * [new tag] v1.0.0a0 -> v1.0.0a0 2025-08-14T21:23:35.5911639Z * [new tag] v1.0.1 -> v1.0.1 2025-08-14T21:23:35.5911795Z * [new tag] v1.0rc0 -> v1.0rc0 2025-08-14T21:23:35.5911905Z * [new tag] v1.0rc1 -> v1.0rc1 2025-08-14T21:23:35.5912005Z * [new tag] v1.1.0 -> v1.1.0 2025-08-14T21:23:35.5912120Z * [new tag] v1.1.0a0 -> v1.1.0a0 2025-08-14T21:23:35.5912223Z * [new tag] v1.10.0 -> v1.10.0 2025-08-14T21:23:35.5912458Z * [new tag] v1.10.0-rc1 -> v1.10.0-rc1 2025-08-14T21:23:35.5915532Z * [new tag] v1.10.0-rc2 -> v1.10.0-rc2 2025-08-14T21:23:35.5915870Z * [new tag] v1.10.0-rc3 -> v1.10.0-rc3 2025-08-14T21:23:35.5916219Z * [new tag] v1.10.1 -> v1.10.1 2025-08-14T21:23:35.5916340Z * [new tag] v1.10.1-rc1 -> v1.10.1-rc1 2025-08-14T21:23:35.5916453Z * [new tag] v1.10.2 -> v1.10.2 2025-08-14T21:23:35.5916770Z * [new tag] v1.10.2-rc1 -> v1.10.2-rc1 2025-08-14T21:23:35.5916898Z * [new tag] v1.11.0 -> v1.11.0 2025-08-14T21:23:35.5917015Z * [new tag] v1.11.0-rc1 -> v1.11.0-rc1 2025-08-14T21:23:35.5917473Z * [new tag] v1.11.0-rc2 -> v1.11.0-rc2 2025-08-14T21:23:35.5917665Z * [new tag] v1.11.0-rc3 -> v1.11.0-rc3 2025-08-14T21:23:35.5923766Z * [new tag] v1.11.0-rc4 -> v1.11.0-rc4 2025-08-14T21:23:35.5923933Z * [new tag] v1.11.0-rc5 -> v1.11.0-rc5 2025-08-14T21:23:35.5924441Z * [new tag] v1.11.0-rc6 -> v1.11.0-rc6 2025-08-14T21:23:35.5924569Z * [new tag] v1.11.0-rc7 -> v1.11.0-rc7 2025-08-14T21:23:35.5924673Z * [new tag] v1.12.0 -> v1.12.0 2025-08-14T21:23:35.5924786Z * [new tag] v1.12.0-rc1 -> v1.12.0-rc1 2025-08-14T21:23:35.5924894Z * [new tag] v1.12.0-rc2 -> v1.12.0-rc2 2025-08-14T21:23:35.5925012Z * [new tag] v1.12.0-rc3 -> v1.12.0-rc3 2025-08-14T21:23:35.5925132Z * [new tag] v1.12.0-rc4 -> v1.12.0-rc4 2025-08-14T21:23:35.5930476Z * [new tag] v1.12.0-rc5 -> v1.12.0-rc5 2025-08-14T21:23:35.5930624Z * [new tag] v1.12.0-rc6 -> v1.12.0-rc6 2025-08-14T21:23:35.5930762Z * [new tag] v1.12.0-rc7 -> v1.12.0-rc7 2025-08-14T21:23:35.5931100Z * [new tag] v1.12.0-rc8 -> v1.12.0-rc8 2025-08-14T21:23:35.5931219Z * [new tag] v1.12.1 -> v1.12.1 2025-08-14T21:23:35.5931336Z * [new tag] v1.12.1-rc1 -> v1.12.1-rc1 2025-08-14T21:23:35.5931441Z * [new tag] v1.12.1-rc2 -> v1.12.1-rc2 2025-08-14T21:23:35.5931551Z * [new tag] v1.12.1-rc3 -> v1.12.1-rc3 2025-08-14T21:23:35.5931653Z * [new tag] v1.12.1-rc4 -> v1.12.1-rc4 2025-08-14T21:23:35.5931756Z * [new tag] v1.12.1-rc5 -> v1.12.1-rc5 2025-08-14T21:23:35.5931869Z * [new tag] v1.13.0 -> v1.13.0 2025-08-14T21:23:35.5931975Z * [new tag] v1.13.0-rc1 -> v1.13.0-rc1 2025-08-14T21:23:35.5932089Z * [new tag] v1.13.0-rc2 -> v1.13.0-rc2 2025-08-14T21:23:35.5932266Z * [new tag] v1.13.0-rc3 -> v1.13.0-rc3 2025-08-14T21:23:35.5932364Z * [new tag] v1.13.0-rc4 -> v1.13.0-rc4 2025-08-14T21:23:35.5932477Z * [new tag] v1.13.0-rc5 -> v1.13.0-rc5 2025-08-14T21:23:35.5932576Z * [new tag] v1.13.0-rc6 -> v1.13.0-rc6 2025-08-14T21:23:35.5932674Z * [new tag] v1.13.1 -> v1.13.1 2025-08-14T21:23:35.5932781Z * [new tag] v1.13.1-rc1 -> v1.13.1-rc1 2025-08-14T21:23:35.5933340Z * [new tag] v1.2.0 -> v1.2.0 2025-08-14T21:23:35.5933504Z * [new tag] v1.2.0a0 -> v1.2.0a0 2025-08-14T21:23:35.5933954Z * [new tag] v1.3.0 -> v1.3.0 2025-08-14T21:23:35.5935162Z * [new tag] v1.3.0a0 -> v1.3.0a0 2025-08-14T21:23:35.5935508Z * [new tag] v1.3.1 -> v1.3.1 2025-08-14T21:23:35.5942054Z * [new tag] v1.4.0 -> v1.4.0 2025-08-14T21:23:35.5942202Z * [new tag] v1.4.0a0 -> v1.4.0a0 2025-08-14T21:23:35.5942309Z * [new tag] v1.4.1 -> v1.4.1 2025-08-14T21:23:35.5942413Z * [new tag] v1.5.0 -> v1.5.0 2025-08-14T21:23:35.5942525Z * [new tag] v1.5.0-rc1 -> v1.5.0-rc1 2025-08-14T21:23:35.5942627Z * [new tag] v1.5.0-rc2 -> v1.5.0-rc2 2025-08-14T21:23:35.5942739Z * [new tag] v1.5.0-rc3 -> v1.5.0-rc3 2025-08-14T21:23:35.5942842Z * [new tag] v1.5.0-rc4 -> v1.5.0-rc4 2025-08-14T21:23:35.5942950Z * [new tag] v1.5.0-rc5 -> v1.5.0-rc5 2025-08-14T21:23:35.5943054Z * [new tag] v1.5.1 -> v1.5.1 2025-08-14T21:23:35.5943157Z * [new tag] v1.5.1-rc1 -> v1.5.1-rc1 2025-08-14T21:23:35.5943261Z * [new tag] v1.6.0 -> v1.6.0 2025-08-14T21:23:35.5943360Z * [new tag] v1.6.0-rc1 -> v1.6.0-rc1 2025-08-14T21:23:35.5943465Z * [new tag] v1.6.0-rc2 -> v1.6.0-rc2 2025-08-14T21:23:35.5943568Z * [new tag] v1.6.0-rc3 -> v1.6.0-rc3 2025-08-14T21:23:35.5943664Z * [new tag] v1.6.0-rc4 -> v1.6.0-rc4 2025-08-14T21:23:35.5944245Z * [new tag] v1.6.0-rc5 -> v1.6.0-rc5 2025-08-14T21:23:35.5944947Z * [new tag] v1.6.0-rc6 -> v1.6.0-rc6 2025-08-14T21:23:35.5945049Z * [new tag] v1.6.0-rc7 -> v1.6.0-rc7 2025-08-14T21:23:35.5945770Z * [new tag] v1.7.0 -> v1.7.0 2025-08-14T21:23:35.5946272Z * [new tag] v1.7.0-rc1 -> v1.7.0-rc1 2025-08-14T21:23:35.5947183Z * [new tag] v1.7.0-rc2 -> v1.7.0-rc2 2025-08-14T21:23:35.5947749Z * [new tag] v1.7.0-rc3 -> v1.7.0-rc3 2025-08-14T21:23:35.5947884Z * [new tag] v1.7.0-rc4 -> v1.7.0-rc4 2025-08-14T21:23:35.5948889Z * [new tag] v1.7.1 -> v1.7.1 2025-08-14T21:23:35.5949234Z * [new tag] v1.7.1-rc1 -> v1.7.1-rc1 2025-08-14T21:23:35.5952106Z * [new tag] v1.7.1-rc2 -> v1.7.1-rc2 2025-08-14T21:23:35.5952257Z * [new tag] v1.7.1-rc3 -> v1.7.1-rc3 2025-08-14T21:23:35.5952367Z * [new tag] v1.8.0 -> v1.8.0 2025-08-14T21:23:35.5952473Z * [new tag] v1.8.0-rc1 -> v1.8.0-rc1 2025-08-14T21:23:35.5952744Z * [new tag] v1.8.0-rc2 -> v1.8.0-rc2 2025-08-14T21:23:35.5952855Z * [new tag] v1.8.0-rc3 -> v1.8.0-rc3 2025-08-14T21:23:35.5953000Z * [new tag] v1.8.0-rc4 -> v1.8.0-rc4 2025-08-14T21:23:35.5953231Z * [new tag] v1.8.0-rc5 -> v1.8.0-rc5 2025-08-14T21:23:35.5953701Z * [new tag] v1.8.1 -> v1.8.1 2025-08-14T21:23:35.5954537Z * [new tag] v1.8.1-rc1 -> v1.8.1-rc1 2025-08-14T21:23:35.5954653Z * [new tag] v1.8.1-rc2 -> v1.8.1-rc2 2025-08-14T21:23:35.5955074Z * [new tag] v1.8.1-rc3 -> v1.8.1-rc3 2025-08-14T21:23:35.5957596Z * [new tag] v1.8.2 -> v1.8.2 2025-08-14T21:23:35.5957737Z * [new tag] v1.8.2-rc1 -> v1.8.2-rc1 2025-08-14T21:23:35.5957870Z * [new tag] v1.9.0 -> v1.9.0 2025-08-14T21:23:35.5958467Z * [new tag] v1.9.0-rc1 -> v1.9.0-rc1 2025-08-14T21:23:35.5958681Z * [new tag] v1.9.0-rc2 -> v1.9.0-rc2 2025-08-14T21:23:35.5958788Z * [new tag] v1.9.0-rc3 -> v1.9.0-rc3 2025-08-14T21:23:35.5963821Z * [new tag] v1.9.0-rc4 -> v1.9.0-rc4 2025-08-14T21:23:35.5964011Z * [new tag] v1.9.1 -> v1.9.1 2025-08-14T21:23:35.5964212Z * [new tag] v1.9.1-rc1 -> v1.9.1-rc1 2025-08-14T21:23:35.5964340Z * [new tag] v1.9.1-rc2 -> v1.9.1-rc2 2025-08-14T21:23:35.5964453Z * [new tag] v2.0.0 -> v2.0.0 2025-08-14T21:23:35.5964572Z * [new tag] v2.0.0-rc1 -> v2.0.0-rc1 2025-08-14T21:23:35.5964682Z * [new tag] v2.0.0-rc2 -> v2.0.0-rc2 2025-08-14T21:23:35.5964827Z * [new tag] v2.0.0-rc3 -> v2.0.0-rc3 2025-08-14T21:23:35.5964938Z * [new tag] v2.0.0-rc4 -> v2.0.0-rc4 2025-08-14T21:23:35.5969079Z * [new tag] v2.0.0-rc5 -> v2.0.0-rc5 2025-08-14T21:23:35.5969661Z * [new tag] v2.0.0-rc6 -> v2.0.0-rc6 2025-08-14T21:23:35.5969776Z * [new tag] v2.0.1 -> v2.0.1 2025-08-14T21:23:35.5969894Z * [new tag] v2.0.1-rc1 -> v2.0.1-rc1 2025-08-14T21:23:35.5969994Z * [new tag] v2.0.1-rc2 -> v2.0.1-rc2 2025-08-14T21:23:35.5970104Z * [new tag] v2.0.1-rc3 -> v2.0.1-rc3 2025-08-14T21:23:35.5970204Z * [new tag] v2.0.1-rc4 -> v2.0.1-rc4 2025-08-14T21:23:35.5970301Z * [new tag] v2.1.0 -> v2.1.0 2025-08-14T21:23:35.5970436Z * [new tag] v2.1.0-rc1 -> v2.1.0-rc1 2025-08-14T21:23:35.5970677Z * [new tag] v2.1.0-rc2 -> v2.1.0-rc2 2025-08-14T21:23:35.5970785Z * [new tag] v2.1.0-rc3 -> v2.1.0-rc3 2025-08-14T21:23:35.5970917Z * [new tag] v2.1.0-rc4 -> v2.1.0-rc4 2025-08-14T21:23:35.5971079Z * [new tag] v2.1.0-rc5 -> v2.1.0-rc5 2025-08-14T21:23:35.5972054Z * [new tag] v2.1.0-rc6 -> v2.1.0-rc6 2025-08-14T21:23:35.5972523Z * [new tag] v2.1.1 -> v2.1.1 2025-08-14T21:23:35.5973106Z * [new tag] v2.1.1-rc1 -> v2.1.1-rc1 2025-08-14T21:23:35.5973660Z * [new tag] v2.1.1-rc2 -> v2.1.1-rc2 2025-08-14T21:23:35.5978625Z * [new tag] v2.1.1-rc3 -> v2.1.1-rc3 2025-08-14T21:23:35.5978966Z * [new tag] v2.1.1-rc4 -> v2.1.1-rc4 2025-08-14T21:23:35.5979083Z * [new tag] v2.1.1-rc5 -> v2.1.1-rc5 2025-08-14T21:23:35.5979183Z * [new tag] v2.1.1-rc6 -> v2.1.1-rc6 2025-08-14T21:23:35.5979299Z * [new tag] v2.1.2 -> v2.1.2 2025-08-14T21:23:35.5979404Z * [new tag] v2.1.2-rc1 -> v2.1.2-rc1 2025-08-14T21:23:35.5979510Z * [new tag] v2.1.2-rc2 -> v2.1.2-rc2 2025-08-14T21:23:35.5979609Z * [new tag] v2.1.2-rc3 -> v2.1.2-rc3 2025-08-14T21:23:35.5979712Z * [new tag] v2.2.0 -> v2.2.0 2025-08-14T21:23:35.5979858Z * [new tag] v2.2.0-rc1 -> v2.2.0-rc1 2025-08-14T21:23:35.5980122Z * [new tag] v2.2.0-rc2 -> v2.2.0-rc2 2025-08-14T21:23:35.5980650Z * [new tag] v2.2.0-rc3 -> v2.2.0-rc3 2025-08-14T21:23:35.5981135Z * [new tag] v2.2.0-rc4 -> v2.2.0-rc4 2025-08-14T21:23:35.5981986Z * [new tag] v2.2.0-rc5 -> v2.2.0-rc5 2025-08-14T21:23:35.5982160Z * [new tag] v2.2.0-rc6 -> v2.2.0-rc6 2025-08-14T21:23:35.5986229Z * [new tag] v2.2.0-rc7 -> v2.2.0-rc7 2025-08-14T21:23:35.5986376Z * [new tag] v2.2.0-rc8 -> v2.2.0-rc8 2025-08-14T21:23:35.5986484Z * [new tag] v2.2.1 -> v2.2.1 2025-08-14T21:23:35.5986585Z * [new tag] v2.2.1-rc1 -> v2.2.1-rc1 2025-08-14T21:23:35.5986687Z * [new tag] v2.2.1-rc2 -> v2.2.1-rc2 2025-08-14T21:23:35.5986780Z * [new tag] v2.2.1-rc3 -> v2.2.1-rc3 2025-08-14T21:23:35.5986877Z * [new tag] v2.2.2 -> v2.2.2 2025-08-14T21:23:35.5987011Z * [new tag] v2.2.2-rc1 -> v2.2.2-rc1 2025-08-14T21:23:35.5987106Z * [new tag] v2.2.2-rc2 -> v2.2.2-rc2 2025-08-14T21:23:35.5987207Z * [new tag] v2.2.2-rc3 -> v2.2.2-rc3 2025-08-14T21:23:35.5987682Z * [new tag] v2.3.0 -> v2.3.0 2025-08-14T21:23:35.5990062Z * [new tag] v2.3.0-rc1 -> v2.3.0-rc1 2025-08-14T21:23:35.5990380Z * [new tag] v2.3.0-rc10 -> v2.3.0-rc10 2025-08-14T21:23:35.5990515Z * [new tag] v2.3.0-rc11 -> v2.3.0-rc11 2025-08-14T21:23:35.5990665Z * [new tag] v2.3.0-rc12 -> v2.3.0-rc12 2025-08-14T21:23:35.5990788Z * [new tag] v2.3.0-rc2 -> v2.3.0-rc2 2025-08-14T21:23:35.5991851Z * [new tag] v2.3.0-rc3 -> v2.3.0-rc3 2025-08-14T21:23:35.5992156Z * [new tag] v2.3.0-rc4 -> v2.3.0-rc4 2025-08-14T21:23:35.5995092Z * [new tag] v2.3.0-rc5 -> v2.3.0-rc5 2025-08-14T21:23:35.5995259Z * [new tag] v2.3.0-rc6 -> v2.3.0-rc6 2025-08-14T21:23:35.5995497Z * [new tag] v2.3.0-rc7 -> v2.3.0-rc7 2025-08-14T21:23:35.5995610Z * [new tag] v2.3.0-rc8 -> v2.3.0-rc8 2025-08-14T21:23:35.5995712Z * [new tag] v2.3.0-rc9 -> v2.3.0-rc9 2025-08-14T21:23:35.5995821Z * [new tag] v2.3.1 -> v2.3.1 2025-08-14T21:23:35.5996766Z * [new tag] v2.3.1-rc1 -> v2.3.1-rc1 2025-08-14T21:23:35.5996883Z * [new tag] v2.3.1-rc2 -> v2.3.1-rc2 2025-08-14T21:23:35.5997006Z * [new tag] v2.3.1-rc3 -> v2.3.1-rc3 2025-08-14T21:23:35.6000026Z * [new tag] v2.4.0 -> v2.4.0 2025-08-14T21:23:35.6000242Z * [new tag] v2.4.0-rc1 -> v2.4.0-rc1 2025-08-14T21:23:35.6000385Z * [new tag] v2.4.0-rc2 -> v2.4.0-rc2 2025-08-14T21:23:35.6000494Z * [new tag] v2.4.0-rc3 -> v2.4.0-rc3 2025-08-14T21:23:35.6000731Z * [new tag] v2.4.0-rc4 -> v2.4.0-rc4 2025-08-14T21:23:35.6000959Z * [new tag] v2.4.0-rc5 -> v2.4.0-rc5 2025-08-14T21:23:35.6002314Z * [new tag] v2.4.0-rc6 -> v2.4.0-rc6 2025-08-14T21:23:35.6002777Z * [new tag] v2.4.0-rc7 -> v2.4.0-rc7 2025-08-14T21:23:35.6002970Z * [new tag] v2.4.0-rc8 -> v2.4.0-rc8 2025-08-14T21:23:35.6005561Z * [new tag] v2.4.0-rc9 -> v2.4.0-rc9 2025-08-14T21:23:35.6005829Z * [new tag] v2.4.1 -> v2.4.1 2025-08-14T21:23:35.6006131Z * [new tag] v2.4.1-rc1 -> v2.4.1-rc1 2025-08-14T21:23:35.6006243Z * [new tag] v2.4.1-rc2 -> v2.4.1-rc2 2025-08-14T21:23:35.6006486Z * [new tag] v2.4.1-rc3 -> v2.4.1-rc3 2025-08-14T21:23:35.6010495Z * [new tag] v2.5.0 -> v2.5.0 2025-08-14T21:23:35.6010646Z * [new tag] v2.5.0-rc1 -> v2.5.0-rc1 2025-08-14T21:23:35.6010847Z * [new tag] v2.5.0-rc10 -> v2.5.0-rc10 2025-08-14T21:23:35.6010960Z * [new tag] v2.5.0-rc2 -> v2.5.0-rc2 2025-08-14T21:23:35.6011078Z * [new tag] v2.5.0-rc3 -> v2.5.0-rc3 2025-08-14T21:23:35.6011190Z * [new tag] v2.5.0-rc4 -> v2.5.0-rc4 2025-08-14T21:23:35.6011303Z * [new tag] v2.5.0-rc5 -> v2.5.0-rc5 2025-08-14T21:23:35.6011428Z * [new tag] v2.5.0-rc6 -> v2.5.0-rc6 2025-08-14T21:23:35.6011553Z * [new tag] v2.5.0-rc7 -> v2.5.0-rc7 2025-08-14T21:23:35.6011806Z * [new tag] v2.5.0-rc8 -> v2.5.0-rc8 2025-08-14T21:23:35.6012737Z * [new tag] v2.5.0-rc9 -> v2.5.0-rc9 2025-08-14T21:23:35.6012878Z * [new tag] v2.5.1 -> v2.5.1 2025-08-14T21:23:35.6013342Z * [new tag] v2.5.1-rc1 -> v2.5.1-rc1 2025-08-14T21:23:35.6013800Z * [new tag] v2.6.0 -> v2.6.0 2025-08-14T21:23:35.6015818Z * [new tag] v2.6.0-rc1 -> v2.6.0-rc1 2025-08-14T21:23:35.6016120Z * [new tag] v2.6.0-rc2 -> v2.6.0-rc2 2025-08-14T21:23:35.6016254Z * [new tag] v2.6.0-rc3 -> v2.6.0-rc3 2025-08-14T21:23:35.6016633Z * [new tag] v2.6.0-rc4 -> v2.6.0-rc4 2025-08-14T21:23:35.6018559Z * [new tag] v2.6.0-rc5 -> v2.6.0-rc5 2025-08-14T21:23:35.6018700Z * [new tag] v2.6.0-rc6 -> v2.6.0-rc6 2025-08-14T21:23:35.6018855Z * [new tag] v2.6.0-rc7 -> v2.6.0-rc7 2025-08-14T21:23:35.6021968Z * [new tag] v2.6.0-rc8 -> v2.6.0-rc8 2025-08-14T21:23:35.6022111Z * [new tag] v2.6.0-rc9 -> v2.6.0-rc9 2025-08-14T21:23:35.6022234Z * [new tag] v2.7.0 -> v2.7.0 2025-08-14T21:23:35.6022352Z * [new tag] v2.7.0-rc1 -> v2.7.0-rc1 2025-08-14T21:23:35.6022472Z * [new tag] v2.7.0-rc10 -> v2.7.0-rc10 2025-08-14T21:23:35.6022978Z * [new tag] v2.7.0-rc2 -> v2.7.0-rc2 2025-08-14T21:23:35.6027696Z * [new tag] v2.7.0-rc3 -> v2.7.0-rc3 2025-08-14T21:23:35.6028069Z * [new tag] v2.7.0-rc4 -> v2.7.0-rc4 2025-08-14T21:23:35.6028186Z * [new tag] v2.7.0-rc5 -> v2.7.0-rc5 2025-08-14T21:23:35.6028305Z * [new tag] v2.7.0-rc6 -> v2.7.0-rc6 2025-08-14T21:23:35.6028583Z * [new tag] v2.7.0-rc7 -> v2.7.0-rc7 2025-08-14T21:23:35.6028707Z * [new tag] v2.7.0-rc8 -> v2.7.0-rc8 2025-08-14T21:23:35.6028868Z * [new tag] v2.7.0-rc9 -> v2.7.0-rc9 2025-08-14T21:23:35.6029528Z * [new tag] v2.7.1 -> v2.7.1 2025-08-14T21:23:35.6029946Z * [new tag] v2.7.1-rc1 -> v2.7.1-rc1 2025-08-14T21:23:35.6030242Z * [new tag] v2.7.1-rc2 -> v2.7.1-rc2 2025-08-14T21:23:35.6030363Z * [new tag] v2.7.1-rc3 -> v2.7.1-rc3 2025-08-14T21:23:35.6030641Z * [new tag] v2.7.1-rc4 -> v2.7.1-rc4 2025-08-14T21:23:35.6031298Z * [new tag] v2.7.1-rc5 -> v2.7.1-rc5 2025-08-14T21:23:35.6031672Z * [new tag] v2.8.0 -> v2.8.0 2025-08-14T21:23:35.6034371Z * [new tag] v2.8.0-rc1 -> v2.8.0-rc1 2025-08-14T21:23:35.6034643Z * [new tag] v2.8.0-rc2 -> v2.8.0-rc2 2025-08-14T21:23:35.6034931Z * [new tag] v2.8.0-rc3 -> v2.8.0-rc3 2025-08-14T21:23:35.6035058Z * [new tag] v2.8.0-rc4 -> v2.8.0-rc4 2025-08-14T21:23:35.6035171Z * [new tag] v2.8.0-rc5 -> v2.8.0-rc5 2025-08-14T21:23:35.6035431Z * [new tag] v2.8.0-rc6 -> v2.8.0-rc6 2025-08-14T21:23:35.6036650Z * [new tag] v2.8.0-rc7 -> v2.8.0-rc7 2025-08-14T21:23:35.6037112Z * [new tag] v2.8.0-rc8 -> v2.8.0-rc8 2025-08-14T21:23:35.6037574Z * [new tag] whc_flight_1 -> whc_flight_1 2025-08-14T21:23:35.6040520Z * [new tag] whc_flight_2 -> whc_flight_2 2025-08-14T21:23:35.6041021Z * [new tag] whc_flight_4 -> whc_flight_4 2025-08-14T21:23:35.6528095Z [command]/usr/bin/git rev-parse --verify --quiet 1fc683cf17c8c673044538d10266c00f92987be2^{object} 2025-08-14T21:23:35.6564847Z 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:23:35.6569097Z ##[endgroup] 2025-08-14T21:23:35.6569375Z ##[group]Determining the checkout info 2025-08-14T21:23:35.6569557Z ##[endgroup] 2025-08-14T21:23:35.6569722Z [command]/usr/bin/git sparse-checkout disable 2025-08-14T21:23:35.6612257Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-08-14T21:23:35.6637854Z ##[group]Checking out the ref 2025-08-14T21:23:35.6641060Z [command]/usr/bin/git checkout --progress --force 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:23:36.6985990Z Updating files: 98% (19109/19474) 2025-08-14T21:23:36.7108504Z Updating files: 99% (19280/19474) 2025-08-14T21:23:36.7108997Z Updating files: 100% (19474/19474) 2025-08-14T21:23:36.7109429Z Updating files: 100% (19474/19474), done. 2025-08-14T21:23:36.7335690Z Note: switching to '1fc683cf17c8c673044538d10266c00f92987be2'. 2025-08-14T21:23:36.7335989Z 2025-08-14T21:23:36.7336203Z You are in 'detached HEAD' state. You can look around, make experimental 2025-08-14T21:23:36.7336620Z changes and commit them, and you can discard any commits you make in this 2025-08-14T21:23:36.7337065Z state without impacting any branches by switching back to a branch. 2025-08-14T21:23:36.7337308Z 2025-08-14T21:23:36.7337505Z If you want to create a new branch to retain commits you create, you may 2025-08-14T21:23:36.7337881Z do so (now or later) by using -c with the switch command. Example: 2025-08-14T21:23:36.7338480Z 2025-08-14T21:23:36.7338585Z git switch -c 2025-08-14T21:23:36.7338776Z 2025-08-14T21:23:36.7338872Z Or undo this operation with: 2025-08-14T21:23:36.7339026Z 2025-08-14T21:23:36.7339106Z git switch - 2025-08-14T21:23:36.7339227Z 2025-08-14T21:23:36.7339424Z Turn off this advice by setting config variable advice.detachedHead to false 2025-08-14T21:23:36.7339679Z 2025-08-14T21:23:36.7339981Z HEAD is now at 1fc683cf17c [Inductor] Allow indexing a flexible layout for extract_input_node_reduction_ranges (#160645) 2025-08-14T21:23:36.7389828Z ##[endgroup] 2025-08-14T21:23:36.7390271Z ##[group]Setting up auth for fetching submodules 2025-08-14T21:23:36.7391836Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-08-14T21:23:36.7452329Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-08-14T21:23:36.7485778Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-08-14T21:23:36.7520387Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-08-14T21:23:36.7546264Z ##[endgroup] 2025-08-14T21:23:36.7546612Z ##[group]Fetching submodules 2025-08-14T21:23:36.7548281Z [command]/usr/bin/git submodule sync --recursive 2025-08-14T21:23:36.7881854Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2025-08-14T21:23:36.8195386Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni' 2025-08-14T21:23:36.8599296Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16' 2025-08-14T21:23:36.8600183Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv' 2025-08-14T21:23:36.8600781Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK' 2025-08-14T21:23:36.8601347Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX' 2025-08-14T21:23:36.8602029Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator' 2025-08-14T21:23:36.8617814Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK' 2025-08-14T21:23:36.8619543Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter' 2025-08-14T21:23:36.8621758Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark' 2025-08-14T21:23:36.8624725Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel' 2025-08-14T21:23:36.8626301Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib' 2025-08-14T21:23:36.8650561Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo' 2025-08-14T21:23:36.8651246Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend' 2025-08-14T21:23:36.8651850Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass' 2025-08-14T21:23:36.8652407Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm' 2025-08-14T21:23:36.8660534Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention' 2025-08-14T21:23:36.8675185Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers' 2025-08-14T21:23:36.8680877Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt' 2025-08-14T21:23:36.8683123Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp' 2025-08-14T21:23:36.8683756Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo' 2025-08-14T21:23:36.8684343Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' 2025-08-14T21:23:36.8707358Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep' 2025-08-14T21:23:36.8708174Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi' 2025-08-14T21:23:36.8710994Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto' 2025-08-14T21:23:36.8714516Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai' 2025-08-14T21:23:36.8716217Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc' 2025-08-14T21:23:36.8734178Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann' 2025-08-14T21:23:36.8739376Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx' 2025-08-14T21:23:36.8743093Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp' 2025-08-14T21:23:36.8743942Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft' 2025-08-14T21:23:36.8749434Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf' 2025-08-14T21:23:36.8769621Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd' 2025-08-14T21:23:36.8770389Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool' 2025-08-14T21:23:36.8773527Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' 2025-08-14T21:23:36.8780447Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy' 2025-08-14T21:23:36.8781980Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef' 2025-08-14T21:23:36.8803445Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe' 2025-08-14T21:23:36.8837359Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'... 2025-08-14T21:23:37.1252671Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'... 2025-08-14T21:23:37.1253476Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/psimd'... 2025-08-14T21:23:37.1253971Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'... 2025-08-14T21:23:37.1279578Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/python-peachpy'... 2025-08-14T21:23:37.4297706Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pocketfft'... 2025-08-14T21:23:37.4299303Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'... 2025-08-14T21:23:37.4300134Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep'... 2025-08-14T21:23:37.4300898Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gloo'... 2025-08-14T21:23:37.4301704Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pthreadpool'... 2025-08-14T21:23:37.4302841Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'... 2025-08-14T21:23:37.4303663Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NVTX'... 2025-08-14T21:23:37.4304467Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'... 2025-08-14T21:23:37.4305255Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ittapi'... 2025-08-14T21:23:37.4306045Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kleidiai'... 2025-08-14T21:23:37.5237149Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'... 2025-08-14T21:23:38.6699973Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpp-httplib'... 2025-08-14T21:23:38.6700510Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention'... 2025-08-14T21:23:38.6701039Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'... 2025-08-14T21:23:38.6701505Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe'... 2025-08-14T21:23:38.6701959Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/mimalloc'... 2025-08-14T21:23:38.6702392Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/sleef'... 2025-08-14T21:23:38.6702835Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/googletest'... 2025-08-14T21:23:38.6703288Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pybind11'... 2025-08-14T21:23:38.6703753Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'... 2025-08-14T21:23:38.6704200Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto'... 2025-08-14T21:23:38.7460593Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'... 2025-08-14T21:23:50.7479032Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fmt'... 2025-08-14T21:23:50.7479537Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flatbuffers'... 2025-08-14T21:23:50.7479962Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm'... 2025-08-14T21:23:50.7480385Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cutlass'... 2025-08-14T21:23:50.7480963Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx'... 2025-08-14T21:23:50.7481423Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/composable_kernel'... 2025-08-14T21:23:50.7481871Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter'... 2025-08-14T21:23:50.7482349Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp'... 2025-08-14T21:23:50.7482853Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nlohmann'... 2025-08-14T21:23:50.7483582Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf'... 2025-08-14T21:23:50.7619549Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2025-08-14T21:23:50.7735518Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-08-14T21:23:50.7828858Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-08-14T21:23:50.8049826Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2025-08-14T21:23:50.8755181Z Submodule path 'third_party/NVTX': checked out '2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07' 2025-08-14T21:23:50.9235064Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1' 2025-08-14T21:23:51.4921973Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883' 2025-08-14T21:23:51.6245644Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150' 2025-08-14T21:23:51.6262324Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel' 2025-08-14T21:23:51.6291039Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'... 2025-08-14T21:23:55.0070122Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf' 2025-08-14T21:23:55.0282872Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f' 2025-08-14T21:23:55.2871381Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-08-14T21:23:55.3347828Z Submodule path 'third_party/cpp-httplib': checked out '3af7f2c16147f3fbc6e4d717032daf505dc1652c' 2025-08-14T21:23:55.4263533Z Submodule path 'third_party/cpuinfo': checked out '5e3d2445e6a84d9599bee2bf78edbb4d80865e1d' 2025-08-14T21:23:55.4673038Z Submodule path 'third_party/cudnn_frontend': checked out 'f937055efc6d414d11f4c6577e3977fe74f35fb6' 2025-08-14T21:23:56.0110364Z Submodule path 'third_party/cutlass': checked out 'e51efbfe18fe4f4cbb66ab814c55bf4aa0185491' 2025-08-14T21:23:56.1280201Z Submodule path 'third_party/fbgemm': checked out '21c7d30c526c0f1ad873ecc632dca6cfa8a69067' 2025-08-14T21:23:56.1301515Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit' 2025-08-14T21:23:56.1304823Z Submodule 'external/composable_kernel' (https://github.com/jwfromm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel' 2025-08-14T21:23:56.1305734Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo' 2025-08-14T21:23:56.1306421Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass' 2025-08-14T21:23:56.1307076Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest' 2025-08-14T21:23:56.1307801Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch' 2025-08-14T21:23:56.1308486Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json' 2025-08-14T21:23:56.1339521Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'... 2025-08-14T21:23:57.2313478Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'... 2025-08-14T21:23:57.2314115Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'... 2025-08-14T21:23:57.2314957Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'... 2025-08-14T21:23:57.3317139Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'... 2025-08-14T21:23:57.4466854Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'... 2025-08-14T21:23:58.3763057Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/json'... 2025-08-14T21:24:02.6047596Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea' 2025-08-14T21:24:02.8115336Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out 'b1281b8b08d973a7064f864f47eeb30f3e2596e9' 2025-08-14T21:24:02.9031824Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349' 2025-08-14T21:24:03.4288323Z Submodule path 'third_party/fbgemm/external/cutlass': checked out 'b40777404c174b9694a870bff5c13ce6b7f656ad' 2025-08-14T21:24:03.4712797Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-08-14T21:24:03.4840171Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out 'a4337c69fe0e2552a7b7b0669178926beeed828c' 2025-08-14T21:24:03.5774938Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03' 2025-08-14T21:24:03.6396635Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5' 2025-08-14T21:24:03.6422105Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel' 2025-08-14T21:24:03.6427759Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass' 2025-08-14T21:24:03.6450598Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'... 2025-08-14T21:24:06.7967949Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'... 2025-08-14T21:24:06.9887539Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33' 2025-08-14T21:24:07.4763307Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420' 2025-08-14T21:24:07.5893514Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757' 2025-08-14T21:24:07.6212590Z Submodule path 'third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21' 2025-08-14T21:24:07.6570815Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2025-08-14T21:24:07.6799620Z Submodule path 'third_party/gloo': checked out 'c7b7b022c124d9643957d9bd55f57ac59fce8fa2' 2025-08-14T21:24:07.7208245Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-08-14T21:24:07.7343973Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3' 2025-08-14T21:24:07.7360694Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn' 2025-08-14T21:24:07.7382331Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'... 2025-08-14T21:24:19.1626681Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d' 2025-08-14T21:24:19.1809383Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959' 2025-08-14T21:24:19.2685376Z Submodule path 'third_party/kineto': checked out '5e7501833f1021ce6f618572d3baf657b6319658' 2025-08-14T21:24:19.2701207Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-14T21:24:19.2704397Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt' 2025-08-14T21:24:19.2705365Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest' 2025-08-14T21:24:19.2735725Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'... 2025-08-14T21:24:19.9027599Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'... 2025-08-14T21:24:20.5313509Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'... 2025-08-14T21:24:20.6030696Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out '7d04a0053a845370ae06ce317a22a48e9edcc74e' 2025-08-14T21:24:20.6047733Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-14T21:24:20.6048667Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-14T21:24:20.6049397Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-14T21:24:20.6050154Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-14T21:24:20.6052454Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-14T21:24:20.6053384Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-14T21:24:20.6063963Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-14T21:24:20.6065831Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-08-14T21:24:20.6091788Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'... 2025-08-14T21:24:21.7941806Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'... 2025-08-14T21:24:21.7942583Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'... 2025-08-14T21:24:21.7943304Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'... 2025-08-14T21:24:21.7944067Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'... 2025-08-14T21:24:21.7944784Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'... 2025-08-14T21:24:21.8683487Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'... 2025-08-14T21:24:21.9686615Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'... 2025-08-14T21:24:28.5798418Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2025-08-14T21:24:28.5958696Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2025-08-14T21:24:28.6290186Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2025-08-14T21:24:28.6412629Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2025-08-14T21:24:28.6425867Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-14T21:24:28.6453799Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'... 2025-08-14T21:24:29.1085546Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4' 2025-08-14T21:24:29.1257958Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446' 2025-08-14T21:24:29.1630351Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '58d77fa8070e8cec2dc1ed015d66b454c8d78850' 2025-08-14T21:24:29.2527676Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5' 2025-08-14T21:24:29.2694766Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150' 2025-08-14T21:24:29.3055839Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '0041a40c1350ba702d475b9c4ad62da77caea164' 2025-08-14T21:24:29.3598020Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '7aca84427f224eeed3144123d5230d5871e93347' 2025-08-14T21:24:29.3990135Z Submodule path 'third_party/kleidiai': checked out 'cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7' 2025-08-14T21:24:29.4339114Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e' 2025-08-14T21:24:29.5341507Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72' 2025-08-14T21:24:29.8333235Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83' 2025-08-14T21:24:29.8365086Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/onnx/third_party/pybind11' 2025-08-14T21:24:29.8391362Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx/third_party/pybind11'... 2025-08-14T21:24:30.9860302Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4' 2025-08-14T21:24:31.0441316Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878' 2025-08-14T21:24:31.0463049Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark) registered for path 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-08-14T21:24:31.0463901Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/opentelemetry-cpp/third_party/googletest' 2025-08-14T21:24:31.0464623Z Submodule 'third_party/ms-gsl' (https://github.com/microsoft/GSL) registered for path 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-08-14T21:24:31.0465725Z Submodule 'third_party/nlohmann-json' (https://github.com/nlohmann/json) registered for path 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-14T21:24:31.0466604Z Submodule 'third_party/opentelemetry-proto' (https://github.com/open-telemetry/opentelemetry-proto) registered for path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-14T21:24:31.0473495Z Submodule 'third_party/opentracing-cpp' (https://github.com/opentracing/opentracing-cpp.git) registered for path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-14T21:24:31.0474690Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-14T21:24:31.0475441Z Submodule 'tools/vcpkg' (https://github.com/Microsoft/vcpkg) registered for path 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-14T21:24:31.0502057Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/benchmark'... 2025-08-14T21:24:31.4664172Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentracing-cpp'... 2025-08-14T21:24:31.4668194Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentelemetry-proto'... 2025-08-14T21:24:31.4668882Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/ms-gsl'... 2025-08-14T21:24:31.4671847Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp'... 2025-08-14T21:24:31.5666204Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/googletest'... 2025-08-14T21:24:32.0930132Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/nlohmann-json'... 2025-08-14T21:24:39.3731259Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/tools/vcpkg'... 2025-08-14T21:24:39.6889773Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2' 2025-08-14T21:24:39.7268778Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1' 2025-08-14T21:24:39.7427289Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out '6f4529395c5b7c2d661812257cd6780c67e54afa' 2025-08-14T21:24:39.8391726Z Submodule path 'third_party/opentelemetry-cpp/third_party/nlohmann-json': checked out 'bc889afb4c5bf1c0d8ee29ef35eaaf4c8bef8a5d' 2025-08-14T21:24:39.8524199Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto': checked out '4ca4f0335c63cda7ab31ea7ed70d6553aee14dce' 2025-08-14T21:24:39.8674446Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp': checked out '06b57f48ded1fa3bdd3d4346f6ef29e40e08eaf5' 2025-08-14T21:24:39.8817741Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp': checked out 'c9ffcdda9086ffd9e1283ea7a0276d831f3c8a8d' 2025-08-14T21:24:39.8832955Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-08-14T21:24:39.8834533Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-08-14T21:24:39.8863212Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'... 2025-08-14T21:24:41.5088326Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'... 2025-08-14T21:24:41.7359498Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'eefb26f82b233268fc98577d265352720d477ba4' 2025-08-14T21:24:41.7785508Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929' 2025-08-14T21:24:42.1255078Z Submodule path 'third_party/opentelemetry-cpp/tools/vcpkg': checked out '8eb57355a4ffb410a2e94c07b4dca2dffbee8e50' 2025-08-14T21:24:42.1374525Z Submodule path 'third_party/pocketfft': checked out '0fa0ef591e38c2758e3184c6c23e497b9f732ffa' 2025-08-14T21:24:42.3705452Z Submodule path 'third_party/protobuf': checked out 'd1eca4e4b421cd2997495c4b4e65cea6be4e9b8a' 2025-08-14T21:24:42.3725552Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/protobuf/third_party/benchmark' 2025-08-14T21:24:42.3726364Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/protobuf/third_party/googletest' 2025-08-14T21:24:42.3761279Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf/third_party/benchmark'... 2025-08-14T21:24:42.8910807Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf/third_party/googletest'... 2025-08-14T21:24:43.2953125Z Submodule path 'third_party/protobuf/third_party/benchmark': checked out '5b7683f49e1e9223cf9927b24f6fd3d6bd82e3f8' 2025-08-14T21:24:43.3612568Z Submodule path 'third_party/protobuf/third_party/googletest': checked out '5ec7f0c4a113e2f18ac2c6cc7df51ad6afc24081' 2025-08-14T21:24:43.3715188Z Submodule path 'third_party/psimd': checked out '072586a71b55b7f8c584153d223e95687148a900' 2025-08-14T21:24:43.3829368Z Submodule path 'third_party/pthreadpool': checked out '4fe0e1e183925bf8cfa6aae24237e724a96479b8' 2025-08-14T21:24:43.4201095Z Submodule path 'third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4' 2025-08-14T21:24:43.4467920Z Submodule path 'third_party/python-peachpy': checked out 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'/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/googletest'... 2025-08-14T21:24:44.4682885Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/libnop'... 2025-08-14T21:24:44.4762436Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/libuv'... 2025-08-14T21:24:44.7116609Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/pybind11'... 2025-08-14T21:24:44.7645042Z Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' 2025-08-14T21:24:44.7788607Z Submodule path 'third_party/tensorpipe/third_party/libnop': checked out '910b55815be16109f04f4180e9adee14fb4ce281' 2025-08-14T21:24:44.8435755Z Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '5152db2cbfeb5582e9c27c5ea1dba2cd9e10759b' 2025-08-14T21:24:44.8696449Z Submodule 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'third_party/XNNPACK' 2025-08-14T21:24:46.6468139Z Entering 'third_party/aiter' 2025-08-14T21:24:46.6507041Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-08-14T21:24:46.6552998Z Entering 'third_party/benchmark' 2025-08-14T21:24:46.6597940Z Entering 'third_party/composable_kernel' 2025-08-14T21:24:46.6646356Z Entering 'third_party/cpp-httplib' 2025-08-14T21:24:46.6689961Z Entering 'third_party/cpuinfo' 2025-08-14T21:24:46.6732078Z Entering 'third_party/cudnn_frontend' 2025-08-14T21:24:46.6775500Z Entering 'third_party/cutlass' 2025-08-14T21:24:46.6824268Z Entering 'third_party/fbgemm' 2025-08-14T21:24:46.6866889Z Entering 'third_party/fbgemm/external/asmjit' 2025-08-14T21:24:46.6908718Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-08-14T21:24:46.6957736Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-08-14T21:24:46.6992035Z Entering 'third_party/fbgemm/external/cutlass' 2025-08-14T21:24:46.7040089Z Entering 'third_party/fbgemm/external/googletest' 2025-08-14T21:24:46.7084117Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-08-14T21:24:46.7125466Z Entering 'third_party/fbgemm/external/json' 2025-08-14T21:24:46.7170757Z Entering 'third_party/flash-attention' 2025-08-14T21:24:46.7211996Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-08-14T21:24:46.7256481Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-08-14T21:24:46.7302707Z Entering 'third_party/flatbuffers' 2025-08-14T21:24:46.7350276Z Entering 'third_party/fmt' 2025-08-14T21:24:46.7388259Z Entering 'third_party/gemmlowp/gemmlowp' 2025-08-14T21:24:46.7431089Z Entering 'third_party/gloo' 2025-08-14T21:24:46.7474680Z Entering 'third_party/googletest' 2025-08-14T21:24:46.7511998Z Entering 'third_party/ideep' 2025-08-14T21:24:46.7552941Z Entering 'third_party/ideep/mkl-dnn' 2025-08-14T21:24:46.7600419Z Entering 'third_party/ittapi' 2025-08-14T21:24:46.7641847Z Entering 'third_party/kineto' 2025-08-14T21:24:46.7684345Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-14T21:24:46.7722553Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-14T21:24:46.7764577Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-14T21:24:46.7804897Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-14T21:24:46.7848097Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-14T21:24:46.7888987Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-14T21:24:46.7931430Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-14T21:24:46.7972239Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-14T21:24:46.8012785Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-14T21:24:46.8055958Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-08-14T21:24:46.8101383Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-08-14T21:24:46.8146258Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-08-14T21:24:46.8190452Z Entering 'third_party/kleidiai' 2025-08-14T21:24:46.8227457Z Entering 'third_party/mimalloc' 2025-08-14T21:24:46.8269733Z Entering 'third_party/nlohmann' 2025-08-14T21:24:46.8310989Z Entering 'third_party/onnx' 2025-08-14T21:24:46.8366021Z Entering 'third_party/onnx/third_party/pybind11' 2025-08-14T21:24:46.8407672Z Entering 'third_party/opentelemetry-cpp' 2025-08-14T21:24:46.8446588Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-08-14T21:24:46.8491226Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-08-14T21:24:46.8528086Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-08-14T21:24:46.8568920Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-14T21:24:46.8611523Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-14T21:24:46.8651049Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-14T21:24:46.8692155Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-14T21:24:46.8730650Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-08-14T21:24:46.8771649Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-08-14T21:24:46.8813806Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-14T21:24:46.8871917Z Entering 'third_party/pocketfft' 2025-08-14T21:24:46.8915668Z Entering 'third_party/protobuf' 2025-08-14T21:24:46.8959872Z Entering 'third_party/protobuf/third_party/benchmark' 2025-08-14T21:24:46.8999933Z Entering 'third_party/protobuf/third_party/googletest' 2025-08-14T21:24:46.9041062Z Entering 'third_party/psimd' 2025-08-14T21:24:46.9082161Z Entering 'third_party/pthreadpool' 2025-08-14T21:24:46.9122613Z Entering 'third_party/pybind11' 2025-08-14T21:24:46.9167802Z Entering 'third_party/python-peachpy' 2025-08-14T21:24:46.9208142Z Entering 'third_party/sleef' 2025-08-14T21:24:46.9247814Z Entering 'third_party/tensorpipe' 2025-08-14T21:24:46.9291184Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-08-14T21:24:46.9331867Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-08-14T21:24:46.9371560Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-08-14T21:24:46.9414288Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-08-14T21:24:46.9452176Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-14T21:24:46.9515383Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:' 2025-08-14T21:24:46.9841770Z Entering 'android/libs/fbjni' 2025-08-14T21:24:46.9882010Z Entering 'third_party/FP16' 2025-08-14T21:24:46.9919475Z Entering 'third_party/FXdiv' 2025-08-14T21:24:46.9960577Z Entering 'third_party/NNPACK' 2025-08-14T21:24:47.0004600Z Entering 'third_party/NVTX' 2025-08-14T21:24:47.0045638Z Entering 'third_party/VulkanMemoryAllocator' 2025-08-14T21:24:47.0085317Z Entering 'third_party/XNNPACK' 2025-08-14T21:24:47.0135507Z Entering 'third_party/aiter' 2025-08-14T21:24:47.0181263Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-08-14T21:24:47.0230645Z Entering 'third_party/benchmark' 2025-08-14T21:24:47.0272149Z Entering 'third_party/composable_kernel' 2025-08-14T21:24:47.0318618Z Entering 'third_party/cpp-httplib' 2025-08-14T21:24:47.0360892Z Entering 'third_party/cpuinfo' 2025-08-14T21:24:47.0397365Z Entering 'third_party/cudnn_frontend' 2025-08-14T21:24:47.0440063Z Entering 'third_party/cutlass' 2025-08-14T21:24:47.0487850Z Entering 'third_party/fbgemm' 2025-08-14T21:24:47.0528838Z Entering 'third_party/fbgemm/external/asmjit' 2025-08-14T21:24:47.0573828Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-08-14T21:24:47.0616903Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-08-14T21:24:47.0665971Z Entering 'third_party/fbgemm/external/cutlass' 2025-08-14T21:24:47.0706016Z Entering 'third_party/fbgemm/external/googletest' 2025-08-14T21:24:47.0744040Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-08-14T21:24:47.0789141Z Entering 'third_party/fbgemm/external/json' 2025-08-14T21:24:47.0831190Z Entering 'third_party/flash-attention' 2025-08-14T21:24:47.0869615Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-08-14T21:24:47.0914273Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-08-14T21:24:47.0962985Z Entering 'third_party/flatbuffers' 2025-08-14T21:24:47.1009244Z Entering 'third_party/fmt' 2025-08-14T21:24:47.1051343Z Entering 'third_party/gemmlowp/gemmlowp' 2025-08-14T21:24:47.1087156Z Entering 'third_party/gloo' 2025-08-14T21:24:47.1128703Z Entering 'third_party/googletest' 2025-08-14T21:24:47.1166985Z Entering 'third_party/ideep' 2025-08-14T21:24:47.1209386Z Entering 'third_party/ideep/mkl-dnn' 2025-08-14T21:24:47.1264577Z Entering 'third_party/ittapi' 2025-08-14T21:24:47.1306387Z Entering 'third_party/kineto' 2025-08-14T21:24:47.1347373Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-14T21:24:47.1386605Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-14T21:24:47.1428486Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-14T21:24:47.1468786Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-14T21:24:47.1509373Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-14T21:24:47.1551504Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-14T21:24:47.1591770Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-14T21:24:47.1630346Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-14T21:24:47.1671517Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-14T21:24:47.1712273Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-08-14T21:24:47.1759278Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-08-14T21:24:47.1801211Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-08-14T21:24:47.1847399Z Entering 'third_party/kleidiai' 2025-08-14T21:24:47.1888631Z Entering 'third_party/mimalloc' 2025-08-14T21:24:47.1928955Z Entering 'third_party/nlohmann' 2025-08-14T21:24:47.1970535Z Entering 'third_party/onnx' 2025-08-14T21:24:47.2025542Z Entering 'third_party/onnx/third_party/pybind11' 2025-08-14T21:24:47.2070726Z Entering 'third_party/opentelemetry-cpp' 2025-08-14T21:24:47.2114651Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-08-14T21:24:47.2159397Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-08-14T21:24:47.2200937Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-08-14T21:24:47.2241851Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-14T21:24:47.2282135Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-14T21:24:47.2321311Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-14T21:24:47.2361759Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-14T21:24:47.2401469Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-08-14T21:24:47.2447918Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-08-14T21:24:47.2489773Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-14T21:24:47.2553909Z Entering 'third_party/pocketfft' 2025-08-14T21:24:47.2596643Z Entering 'third_party/protobuf' 2025-08-14T21:24:47.2640398Z Entering 'third_party/protobuf/third_party/benchmark' 2025-08-14T21:24:47.2681848Z Entering 'third_party/protobuf/third_party/googletest' 2025-08-14T21:24:47.2722942Z Entering 'third_party/psimd' 2025-08-14T21:24:47.2766176Z Entering 'third_party/pthreadpool' 2025-08-14T21:24:47.2807293Z Entering 'third_party/pybind11' 2025-08-14T21:24:47.2848602Z Entering 'third_party/python-peachpy' 2025-08-14T21:24:47.2888480Z Entering 'third_party/sleef' 2025-08-14T21:24:47.2930298Z Entering 'third_party/tensorpipe' 2025-08-14T21:24:47.2971840Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-08-14T21:24:47.3013348Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-08-14T21:24:47.3053678Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-08-14T21:24:47.3096590Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-08-14T21:24:47.3135493Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-14T21:24:47.3188790Z ##[endgroup] 2025-08-14T21:24:47.3228806Z [command]/usr/bin/git log -1 --format=%H 2025-08-14T21:24:47.3247343Z 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:24:47.3411537Z Prepare all required actions 2025-08-14T21:24:47.3412035Z Getting action download info 2025-08-14T21:24:47.4606579Z ##[group]Run ./.github/actions/setup-linux 2025-08-14T21:24:47.4606838Z env: 2025-08-14T21:24:47.4607017Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:24:47.4607222Z ##[endgroup] 2025-08-14T21:24:47.4643854Z ##[group]Run set -euo pipefail 2025-08-14T21:24:47.4644146Z set -euo pipefail 2025-08-14T21:24:47.4644365Z function get_ec2_metadata() { 2025-08-14T21:24:47.4644633Z  # Pulled from instance metadata endpoint for EC2 2025-08-14T21:24:47.4645072Z  # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html 2025-08-14T21:24:47.4645465Z  category=$1 2025-08-14T21:24:47.4645723Z  # If it is GCP runner (runner name contains gcp), do not run this 2025-08-14T21:24:47.4646043Z  runner_name_str=i-0cfe2f44e87f9c4d7 2025-08-14T21:24:47.4646338Z  if [[ -f /.inarc ]]; then 2025-08-14T21:24:47.4646577Z  echo "ARC Runner, no info on ec2 metadata" 2025-08-14T21:24:47.4646840Z  elif [[ $runner_name_str == *"gcp"* ]]; then 2025-08-14T21:24:47.4647153Z  echo "Runner is from Google Cloud Platform, No info on ec2 metadata" 2025-08-14T21:24:47.4647464Z  else 2025-08-14T21:24:47.4648026Z  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}" 2025-08-14T21:24:47.4648581Z  fi 2025-08-14T21:24:47.4648858Z } 2025-08-14T21:24:47.4649046Z echo "ami-id: $(get_ec2_metadata ami-id)" 2025-08-14T21:24:47.4649333Z echo "instance-id: $(get_ec2_metadata instance-id)" 2025-08-14T21:24:47.4649659Z echo "instance-type: $(get_ec2_metadata instance-type)" 2025-08-14T21:24:47.4649944Z echo "system info $(uname -a)" 2025-08-14T21:24:47.4657327Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:24:47.4657587Z env: 2025-08-14T21:24:47.4657756Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:24:47.4657936Z ##[endgroup] 2025-08-14T21:24:47.4816442Z ami-id: ami-05ffe3c48a9991133 2025-08-14T21:24:47.4914810Z instance-id: i-0cfe2f44e87f9c4d7 2025-08-14T21:24:47.5012583Z instance-type: m7i-flex.8xlarge 2025-08-14T21:24:47.5023438Z system info Linux ip-10-0-3-245.ec2.internal 6.1.141-155.222.amzn2023.x86_64 #1 SMP PREEMPT_DYNAMIC Tue Jun 17 10:29:47 UTC 2025 x86_64 x86_64 x86_64 GNU/Linux 2025-08-14T21:24:47.5042831Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-14T21:24:47.5043467Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-14T21:24:47.5049242Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:24:47.5049507Z env: 2025-08-14T21:24:47.5049675Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:24:47.5049859Z ##[endgroup] 2025-08-14T21:24:47.5099330Z ##[group]Run if systemctl is-active --quiet docker; then 2025-08-14T21:24:47.5099634Z if systemctl is-active --quiet docker; then 2025-08-14T21:24:47.5099884Z  echo "Docker daemon is running..."; 2025-08-14T21:24:47.5100086Z else 2025-08-14T21:24:47.5100319Z  echo "Starting docker daemon..." && sudo systemctl start docker; 2025-08-14T21:24:47.5100577Z fi 2025-08-14T21:24:47.5105263Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:24:47.5105546Z env: 2025-08-14T21:24:47.5105721Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:24:47.5105905Z ##[endgroup] 2025-08-14T21:24:47.5187076Z Docker daemon is running... 2025-08-14T21:24:47.5214915Z ##[group]Run nick-fields/retry@v3.0.0 2025-08-14T21:24:47.5215150Z with: 2025-08-14T21:24:47.5215320Z shell: bash 2025-08-14T21:24:47.5215630Z timeout_minutes: 5 2025-08-14T21:24:47.5215815Z max_attempts: 3 2025-08-14T21:24:47.5215988Z retry_wait_seconds: 30 2025-08-14T21:24:47.5217432Z command: AWS_ACCOUNT_ID=$(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 2025-08-14T21:24:47.5218825Z polling_interval_seconds: 1 2025-08-14T21:24:47.5219027Z warning_on_retry: true 2025-08-14T21:24:47.5219218Z continue_on_error: false 2025-08-14T21:24:47.5219398Z env: 2025-08-14T21:24:47.5219565Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:24:47.5219756Z AWS_RETRY_MODE: standard 2025-08-14T21:24:47.5219935Z AWS_MAX_ATTEMPTS: 5 2025-08-14T21:24:47.5220122Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:24:47.5220318Z ##[endgroup] 2025-08-14T21:24:48.5059493Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-08-14T21:24:48.5060103Z Configure a credential helper to remove this warning. See 2025-08-14T21:24:48.5063890Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-08-14T21:24:48.5064224Z 2025-08-14T21:24:48.5064304Z Login Succeeded 2025-08-14T21:24:48.5937491Z Command completed after 1 attempt(s). 2025-08-14T21:24:48.5992847Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-14T21:24:48.5993222Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-14T21:24:48.5993523Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-14T21:24:48.6000399Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:24:48.6000653Z env: 2025-08-14T21:24:48.6000817Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:24:48.6001003Z ##[endgroup] 2025-08-14T21:24:48.6075377Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-08-14T21:24:48.6075762Z # ignore expansion of "docker ps -q" since it could be empty 2025-08-14T21:24:48.6076058Z # shellcheck disable=SC2046 2025-08-14T21:24:48.6076294Z docker stop $(docker ps -q) || true 2025-08-14T21:24:48.6076525Z # Prune all of the docker images 2025-08-14T21:24:48.6076754Z docker system prune -af 2025-08-14T21:24:48.6081958Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:24:48.6082254Z env: 2025-08-14T21:24:48.6082419Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:24:48.6082606Z ##[endgroup] 2025-08-14T21:24:48.6583760Z "docker stop" requires at least 1 argument. 2025-08-14T21:24:48.6584071Z See 'docker stop --help'. 2025-08-14T21:24:48.6584238Z 2025-08-14T21:24:48.6584370Z Usage: docker stop [OPTIONS] CONTAINER [CONTAINER...] 2025-08-14T21:24:48.6584542Z 2025-08-14T21:24:48.6584626Z Stop one or more running containers 2025-08-14T21:24:48.6774938Z Total reclaimed space: 0B 2025-08-14T21:24:48.6805750Z ##[group]Run set +e 2025-08-14T21:24:48.6805975Z set +e 2025-08-14T21:24:48.6806146Z set -x 2025-08-14T21:24:48.6806308Z  2025-08-14T21:24:48.6806482Z PT_DOMAIN=download.pytorch.org 2025-08-14T21:24:48.6806875Z # TODO: Flaky access to download.pytorch.org https://github.com/pytorch/pytorch/issues/100400, 2025-08-14T21:24:48.6807363Z # cleaning this up once the issue is fixed. There are more than one resolved IP here, the last 2025-08-14T21:24:48.6807735Z # one is returned at random 2025-08-14T21:24:48.6808008Z RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" | tail -n1) 2025-08-14T21:24:48.6808291Z  2025-08-14T21:24:48.6808586Z if [ -z "${RESOLVED_IP}" ]; then 2025-08-14T21:24:48.6808878Z  echo "Couldn't resolve ${PT_DOMAIN}, retrying with Google DNS..." 2025-08-14T21:24:48.6809220Z  RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" @8.8.8.8 | tail -n1) 2025-08-14T21:24:48.6809479Z  2025-08-14T21:24:48.6809656Z  if [ -z "${RESOLVED_IP}" ]; then 2025-08-14T21:24:48.6809918Z  echo "Couldn't resolve ${PT_DOMAIN}, exiting..." 2025-08-14T21:24:48.6810177Z  exit 1 2025-08-14T21:24:48.6810359Z  fi 2025-08-14T21:24:48.6810521Z fi 2025-08-14T21:24:48.6810684Z  2025-08-14T21:24:48.6810884Z if grep -r "${PT_DOMAIN}" /etc/hosts; then 2025-08-14T21:24:48.6811146Z  # Clean up any old records first 2025-08-14T21:24:48.6811405Z  sudo sed -i "/${PT_DOMAIN}/d" /etc/hosts 2025-08-14T21:24:48.6811633Z fi 2025-08-14T21:24:48.6811792Z  2025-08-14T21:24:48.6812024Z echo "${RESOLVED_IP} ${PT_DOMAIN}" | sudo tee -a /etc/hosts 2025-08-14T21:24:48.6812291Z cat /etc/hosts 2025-08-14T21:24:48.6817526Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:24:48.6817773Z env: 2025-08-14T21:24:48.6817941Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:24:48.6818131Z ##[endgroup] 2025-08-14T21:24:48.6841028Z + PT_DOMAIN=download.pytorch.org 2025-08-14T21:24:48.6846751Z ++ dig -4 +short download.pytorch.org 2025-08-14T21:24:48.6848879Z ++ tail -n1 2025-08-14T21:24:48.7548019Z + RESOLVED_IP=18.160.10.36 2025-08-14T21:24:48.7548498Z + '[' -z 18.160.10.36 ']' 2025-08-14T21:24:48.7548831Z + grep -r download.pytorch.org /etc/hosts 2025-08-14T21:24:48.7568466Z + echo '18.160.10.36 download.pytorch.org' 2025-08-14T21:24:48.7569284Z + sudo tee -a /etc/hosts 2025-08-14T21:24:49.0311350Z 18.160.10.36 download.pytorch.org 2025-08-14T21:24:49.0333100Z + cat /etc/hosts 2025-08-14T21:24:49.0363283Z 127.0.0.1 localhost localhost.localdomain localhost4 localhost4.localdomain4 2025-08-14T21:24:49.0369980Z ::1 localhost6 localhost6.localdomain6 2025-08-14T21:24:49.0370283Z 18.160.10.36 download.pytorch.org 2025-08-14T21:24:49.0480776Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main 2025-08-14T21:24:49.0481099Z with: 2025-08-14T21:24:49.0481682Z docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:24:49.0482298Z use-custom-docker-registry: true 2025-08-14T21:24:49.0482529Z docker-build-dir: .ci/docker 2025-08-14T21:24:49.0482749Z docker-build-script: ./build.sh 2025-08-14T21:24:49.0482975Z working-directory: . 2025-08-14T21:24:49.0483227Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:24:49.0483500Z force-push: false 2025-08-14T21:24:49.0483662Z env: 2025-08-14T21:24:49.0483827Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:24:49.0484015Z ##[endgroup] 2025-08-14T21:24:49.0498428Z ##[group]Run set -ex 2025-08-14T21:24:49.0498665Z set -ex 2025-08-14T21:24:49.0498835Z  2025-08-14T21:24:49.0499145Z # If the docker build directory or the build script doesn't exist, the action will 2025-08-14T21:24:49.0499566Z # gracefully return the docker image name as it is. Pulling docker image in Linux 2025-08-14T21:24:49.0499926Z # job could then download the pre-built image as usual 2025-08-14T21:24:49.0500365Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then 2025-08-14T21:24:49.0500775Z  echo "skip=false" >> "${GITHUB_OUTPUT}" 2025-08-14T21:24:49.0501007Z else 2025-08-14T21:24:49.0501197Z  echo "skip=true" >> "${GITHUB_OUTPUT}" 2025-08-14T21:24:49.0501499Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:24:49.0501766Z  2025-08-14T21:24:49.0502122Z  echo "Not using custom ECR registry. Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..." 2025-08-14T21:24:49.0502576Z  exit 0 2025-08-14T21:24:49.0502743Z fi 2025-08-14T21:24:49.0502896Z  2025-08-14T21:24:49.0503141Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then 2025-08-14T21:24:49.0503544Z  # The docker image name already includes the ECR prefix and tag, so we can just 2025-08-14T21:24:49.0503909Z  # use it as it is, but first let's extract the tag 2025-08-14T21:24:49.0504236Z  DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}') 2025-08-14T21:24:49.0504572Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:24:49.0504928Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:24:49.0505222Z else 2025-08-14T21:24:49.0505415Z  if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then 2025-08-14T21:24:49.0505684Z  CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:} 2025-08-14T21:24:49.0505959Z  DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*} 2025-08-14T21:24:49.0506183Z  fi 2025-08-14T21:24:49.0506491Z  DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}") 2025-08-14T21:24:49.0506910Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:24:49.0507321Z  echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:24:49.0507769Z  echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:24:49.0508169Z fi 2025-08-14T21:24:49.0514768Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:24:49.0515020Z env: 2025-08-14T21:24:49.0515195Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:24:49.0515387Z REPO_NAME: pytorch 2025-08-14T21:24:49.0516052Z DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:24:49.0516645Z DOCKER_BUILD_DIR: .ci/docker 2025-08-14T21:24:49.0516854Z DOCKER_BUILD_SCRIPT: ./build.sh 2025-08-14T21:24:49.0517126Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:24:49.0517400Z USE_CUSTOM_DOCKER_REGISTRY: true 2025-08-14T21:24:49.0517620Z CUSTOM_TAG_PREFIX: 2025-08-14T21:24:49.0517805Z ##[endgroup] 2025-08-14T21:24:49.0541892Z + [[ -d .ci/docker ]] 2025-08-14T21:24:49.0542140Z + [[ -f .ci/docker/./build.sh ]] 2025-08-14T21:24:49.0542375Z + [[ true == \t\r\u\e ]] 2025-08-14T21:24:49.0542563Z + echo skip=false 2025-08-14T21:24:49.0543340Z + [[ 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* ]] 2025-08-14T21:24:49.0548478Z ++ awk -F '[:,]' '{print $2}' 2025-08-14T21:24:49.0550917Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:24:49.0577006Z + DOCKER_TAG=pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:24:49.0577625Z + echo docker-tag=pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:24:49.0578434Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:24:49.0600359Z ##[group]Run set +e 2025-08-14T21:24:49.0600592Z set +e 2025-08-14T21:24:49.0600768Z set -x 2025-08-14T21:24:49.0600935Z  2025-08-14T21:24:49.0601087Z login() { 2025-08-14T21:24:49.0601415Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-08-14T21:24:49.0601764Z } 2025-08-14T21:24:49.0601912Z  2025-08-14T21:24:49.0602066Z retry () { 2025-08-14T21:24:49.0602263Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-08-14T21:24:49.0602474Z } 2025-08-14T21:24:49.0602624Z  2025-08-14T21:24:49.0602792Z retry login "${DOCKER_REGISTRY}" 2025-08-14T21:24:49.0603001Z  2025-08-14T21:24:49.0603153Z START_TIME=$(date +%s) 2025-08-14T21:24:49.0603366Z # Wait up to 120 minutes 2025-08-14T21:24:49.0603632Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do 2025-08-14T21:24:49.0603942Z  # Check if image already exists, if it does then skip building it 2025-08-14T21:24:49.0604265Z  if docker manifest inspect "${DOCKER_IMAGE}"; then 2025-08-14T21:24:49.0604505Z  exit 0 2025-08-14T21:24:49.0604692Z  fi 2025-08-14T21:24:49.0604853Z  2025-08-14T21:24:49.0605115Z  # NB: This flag is used by Docker build workflow to push the image to ECR, so we can 2025-08-14T21:24:49.0605541Z  # use this to differentiate between the Docker build and regular build jobs. For the 2025-08-14T21:24:49.0605940Z  # latter, it will wait for the Docker images to become available before continuing 2025-08-14T21:24:49.0606273Z  if [ "${DOCKER_PUSH:-false}" == "true" ]; then 2025-08-14T21:24:49.0606545Z  # It's a Docker build job, let's build the image 2025-08-14T21:24:49.0606772Z  break 2025-08-14T21:24:49.0607020Z  else 2025-08-14T21:24:49.0607242Z  # It's a regular build job, wait for the image to become available 2025-08-14T21:24:49.0607494Z  sleep 300 2025-08-14T21:24:49.0607655Z  fi 2025-08-14T21:24:49.0607806Z done 2025-08-14T21:24:49.0607951Z  2025-08-14T21:24:49.0608169Z # NB: This part requires a full checkout. Otherwise, the merge base will 2025-08-14T21:24:49.0608618Z # be empty. The default action would be to continue rebuild the image 2025-08-14T21:24:49.0608950Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then 2025-08-14T21:24:49.0609245Z  # if we're on the base branch then use the parent commit 2025-08-14T21:24:49.0609505Z  MERGE_BASE=$(git rev-parse HEAD~) 2025-08-14T21:24:49.0609719Z else 2025-08-14T21:24:49.0609951Z  # otherwise we're on a PR, so use the most recent base commit 2025-08-14T21:24:49.0610296Z  MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION") 2025-08-14T21:24:49.0610536Z fi 2025-08-14T21:24:49.0610692Z  2025-08-14T21:24:49.0610856Z if [[ -z "${MERGE_BASE}" ]]; then 2025-08-14T21:24:49.0611114Z  echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-08-14T21:24:49.0611333Z  2025-08-14T21:24:49.0611631Z  echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..." 2025-08-14T21:24:49.0611973Z  exit 0 2025-08-14T21:24:49.0612137Z fi 2025-08-14T21:24:49.0612289Z  2025-08-14T21:24:49.0612496Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then 2025-08-14T21:24:49.0612927Z  echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit" 2025-08-14T21:24:49.0613295Z  exit 1 2025-08-14T21:24:49.0613458Z fi 2025-08-14T21:24:49.0613600Z  2025-08-14T21:24:49.0613855Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}") 2025-08-14T21:24:49.0614685Z # If no image exists but the hash is the same as the previous hash then we should error out here 2025-08-14T21:24:49.0615066Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then 2025-08-14T21:24:49.0615524Z  echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch" 2025-08-14T21:24:49.0615998Z  echo " Will re-build docker image to store in local cache, TTS may be longer" 2025-08-14T21:24:49.0616299Z fi 2025-08-14T21:24:49.0616442Z  2025-08-14T21:24:49.0616629Z echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-08-14T21:24:49.0621501Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:24:49.0621747Z env: 2025-08-14T21:24:49.0621917Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:24:49.0622117Z DOCKER_BUILD_DIR: .ci/docker 2025-08-14T21:24:49.0622374Z BASE_REVISION: 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:24:49.0623004Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:24:49.0623768Z DOCKER_TAG: pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:24:49.0624240Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:24:49.0624541Z DOCKER_PUSH: 2025-08-14T21:24:49.0624703Z ##[endgroup] 2025-08-14T21:24:49.0648224Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:24:49.0648717Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:24:49.0652219Z + aws ecr get-login-password --region us-east-1 2025-08-14T21:24:49.0652634Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:24:49.4980147Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-08-14T21:24:49.4980906Z Configure a credential helper to remove this warning. See 2025-08-14T21:24:49.4981276Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-08-14T21:24:49.4981515Z 2025-08-14T21:24:49.4981598Z Login Succeeded 2025-08-14T21:24:49.4995867Z ++ date +%s 2025-08-14T21:24:49.5004856Z + START_TIME=1755206689 2025-08-14T21:24:49.5011679Z ++ date +%s 2025-08-14T21:24:49.5018443Z + [[ 1755199489 -lt 1755206689 ]] 2025-08-14T21:24:49.5019129Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:24:49.7413733Z { 2025-08-14T21:24:49.7414085Z "schemaVersion": 2, 2025-08-14T21:24:49.7414507Z "mediaType": "application/vnd.docker.distribution.manifest.v2+json", 2025-08-14T21:24:49.7414843Z "config": { 2025-08-14T21:24:49.7415093Z "mediaType": "application/vnd.docker.container.image.v1+json", 2025-08-14T21:24:49.7415421Z "size": 30151, 2025-08-14T21:24:49.7415725Z "digest": 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"sha256:9fb73296da6ac15f37f36663bd10afc98abb8a01fb40bff4848de7247d28e018" 2025-08-14T21:24:49.7509449Z }, 2025-08-14T21:24:49.7509584Z { 2025-08-14T21:24:49.7509803Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:24:49.7510075Z "size": 32, 2025-08-14T21:24:49.7510356Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-08-14T21:24:49.7510667Z } 2025-08-14T21:24:49.7510801Z ] 2025-08-14T21:24:49.7510948Z } 2025-08-14T21:24:49.7511117Z + exit 0 2025-08-14T21:24:49.7531762Z ##[group]Run set -eux 2025-08-14T21:24:49.7532058Z set -eux 2025-08-14T21:24:49.7532644Z 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 2025-08-14T21:24:49.7540219Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:24:49.7540503Z env: 2025-08-14T21:24:49.7540677Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:24:49.7540870Z ##[endgroup] 2025-08-14T21:24:49.7569388Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token 2025-08-14T21:24:49.7569761Z + jq --raw-output .SecretString 2025-08-14T21:24:49.7570003Z + jq -r .docker_hub_readonly_token 2025-08-14T21:24:49.7570293Z + docker login --username pytorchbot --password-stdin 2025-08-14T21:24:50.2528055Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-08-14T21:24:50.2528667Z Configure a credential helper to remove this warning. See 2025-08-14T21:24:50.2529619Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-08-14T21:24:50.2530082Z 2025-08-14T21:24:50.2530177Z Login Succeeded 2025-08-14T21:24:50.2604211Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:} 2025-08-14T21:24:50.2604491Z tag=${ECR_DOCKER_IMAGE##*:} 2025-08-14T21:24:50.2604775Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}" 2025-08-14T21:24:50.2609594Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:24:50.2609852Z env: 2025-08-14T21:24:50.2610013Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:24:50.2610606Z ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:24:50.2611190Z ##[endgroup] 2025-08-14T21:24:50.2636356Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:24:50.2674931Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main 2025-08-14T21:24:50.2675271Z with: 2025-08-14T21:24:50.2675921Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:24:50.2676801Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:24:50.2677113Z env: 2025-08-14T21:24:50.2677297Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:24:50.2677522Z ##[endgroup] 2025-08-14T21:24:50.2689349Z ##[group]Run set -x 2025-08-14T21:24:50.2689591Z set -x 2025-08-14T21:24:50.2689793Z set +e 2025-08-14T21:24:50.2689990Z  2025-08-14T21:24:50.2690171Z login() { 2025-08-14T21:24:50.2690557Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-08-14T21:24:50.2690961Z } 2025-08-14T21:24:50.2691135Z  2025-08-14T21:24:50.2691353Z retry () { 2025-08-14T21:24:50.2691583Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-08-14T21:24:50.2691840Z } 2025-08-14T21:24:50.2692017Z  2025-08-14T21:24:50.2692213Z retry login "${DOCKER_REGISTRY}" 2025-08-14T21:24:50.2692457Z  2025-08-14T21:24:50.2692836Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024') 2025-08-14T21:24:50.2693349Z echo "Compressed size of image in MB: ${IMAGE_SIZE}" 2025-08-14T21:24:50.2693639Z  2025-08-14T21:24:50.2693818Z set -e 2025-08-14T21:24:50.2694237Z # ignore output since only exit code is used for conditional 2025-08-14T21:24:50.2694637Z # only pull docker image if it's not available locally 2025-08-14T21:24:50.2695060Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then 2025-08-14T21:24:50.2695459Z  retry docker pull "${DOCKER_IMAGE}" 2025-08-14T21:24:50.2695721Z fi 2025-08-14T21:24:50.2700647Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:24:50.2700936Z env: 2025-08-14T21:24:50.2701120Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:24:50.2701771Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:24:50.2702523Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:24:50.2702833Z ##[endgroup] 2025-08-14T21:24:50.2725184Z + set +e 2025-08-14T21:24:50.2725943Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:24:50.2726330Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:24:50.2729024Z + aws ecr get-login-password --region us-east-1 2025-08-14T21:24:50.2729448Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:24:50.7307214Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-08-14T21:24:50.7307631Z Configure a credential helper to remove this warning. See 2025-08-14T21:24:50.7308029Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-08-14T21:24:50.7308282Z 2025-08-14T21:24:50.7308359Z Login Succeeded 2025-08-14T21:24:50.7333259Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:24:50.7333939Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024' 2025-08-14T21:24:50.9372309Z + IMAGE_SIZE=27663.483686447144 2025-08-14T21:24:50.9372661Z + echo 'Compressed size of image in MB: 27663.483686447144' 2025-08-14T21:24:50.9372935Z + set -e 2025-08-14T21:24:50.9374249Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:24:50.9374939Z Compressed size of image in MB: 27663.483686447144 2025-08-14T21:24:50.9497425Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:24:50.9498438Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:24:51.2170509Z pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe: Pulling from pytorch/ci-image 2025-08-14T21:24:51.2171305Z 660ffc76f83b: Pulling fs layer 2025-08-14T21:24:51.2172264Z c7b4a852a455: Pulling fs layer 2025-08-14T21:24:51.2172610Z e5a28988c893: Pulling fs layer 2025-08-14T21:24:51.2172815Z 76a69b57b683: Pulling fs layer 2025-08-14T21:24:51.2173015Z 5c785dcb4cdb: Pulling fs layer 2025-08-14T21:24:51.2173217Z 836ab08052e8: Pulling fs layer 2025-08-14T21:24:51.2173460Z 53b11c77468c: Pulling fs layer 2025-08-14T21:24:51.2173656Z e97311a6a967: Pulling fs layer 2025-08-14T21:24:51.2173857Z 2c414689d31d: Pulling fs layer 2025-08-14T21:24:51.2174265Z 6d89b5f065d5: Pulling fs layer 2025-08-14T21:24:51.2174477Z 5a5cc76ada43: Pulling fs layer 2025-08-14T21:24:51.2174679Z fc6b37d40530: Pulling fs layer 2025-08-14T21:24:51.2174897Z 2e1657907860: Pulling fs layer 2025-08-14T21:24:51.2175091Z 7b92d7a4b8c7: Pulling fs layer 2025-08-14T21:24:51.2175297Z 4f4fb700ef54: Pulling fs layer 2025-08-14T21:24:51.2175500Z d6226eb61f82: Pulling fs layer 2025-08-14T21:24:51.2175693Z 83c70f4266a6: Pulling fs layer 2025-08-14T21:24:51.2175896Z 60c725d21861: Pulling fs layer 2025-08-14T21:24:51.2176093Z a504e76e66a4: Pulling fs layer 2025-08-14T21:24:51.2176294Z fc1c200a4f77: Pulling fs layer 2025-08-14T21:24:51.2176496Z 43273c22704f: Pulling fs layer 2025-08-14T21:24:51.2176679Z 89df389d042a: Pulling fs layer 2025-08-14T21:24:51.2176860Z 684349f50d94: Pulling fs layer 2025-08-14T21:24:51.2177039Z 21d0eae87fb3: Pulling fs layer 2025-08-14T21:24:51.2177222Z 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53b11c77468c: Verifying Checksum 2025-08-14T21:24:51.6311711Z 53b11c77468c: Download complete 2025-08-14T21:24:51.6866701Z e97311a6a967: Verifying Checksum 2025-08-14T21:24:51.6867107Z e97311a6a967: Download complete 2025-08-14T21:24:51.7727601Z 6d89b5f065d5: Download complete 2025-08-14T21:24:51.8493806Z 5a5cc76ada43: Verifying Checksum 2025-08-14T21:24:51.8494381Z 5a5cc76ada43: Download complete 2025-08-14T21:24:51.9274231Z fc6b37d40530: Verifying Checksum 2025-08-14T21:24:51.9274971Z fc6b37d40530: Download complete 2025-08-14T21:24:52.0164026Z 2e1657907860: Verifying Checksum 2025-08-14T21:24:52.0164515Z 2e1657907860: Download complete 2025-08-14T21:24:52.7841382Z 2c414689d31d: Verifying Checksum 2025-08-14T21:24:52.7841684Z 2c414689d31d: Download complete 2025-08-14T21:24:52.7919960Z 4f4fb700ef54: Download complete 2025-08-14T21:24:52.8267147Z 660ffc76f83b: Pull complete 2025-08-14T21:24:52.8395241Z c7b4a852a455: Pull complete 2025-08-14T21:24:52.9235330Z d6226eb61f82: Download 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b53167d1a6df: Pull complete 2025-08-14T21:34:15.7819854Z 7f5277f69167: Pull complete 2025-08-14T21:34:16.4593081Z 23dff10cdaa5: Pull complete 2025-08-14T21:34:19.0975670Z 9fb73296da6a: Pull complete 2025-08-14T21:34:19.9506635Z Digest: sha256:4236794baba289041d240d08fd393bbd57497c3012e5e0ccd9fd98f61ebf35c6 2025-08-14T21:34:19.9856285Z 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 2025-08-14T21:34:20.0042840Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:34:20.0105452Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-14T21:34:20.0106077Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-14T21:34:20.0114849Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:34:20.0115089Z env: 2025-08-14T21:34:20.0115254Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:34:20.0115436Z ##[endgroup] 2025-08-14T21:34:20.0192243Z Prepare all required actions 2025-08-14T21:34:20.0217539Z ##[group]Run ./.github/actions/get-workflow-job-id 2025-08-14T21:34:20.0217823Z with: 2025-08-14T21:34:20.0218449Z github-token: *** 2025-08-14T21:34:20.0218655Z env: 2025-08-14T21:34:20.0218833Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:34:20.0219052Z ##[endgroup] 2025-08-14T21:34:20.0244309Z ##[group]Run set -eux 2025-08-14T21:34:20.0244528Z set -eux 2025-08-14T21:34:20.0244844Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-08-14T21:34:20.0249889Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:34:20.0250163Z env: 2025-08-14T21:34:20.0250340Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:34:20.0250723Z GITHUB_TOKEN: *** 2025-08-14T21:34:20.0250894Z ##[endgroup] 2025-08-14T21:34:20.0274964Z + python3 .github/scripts/get_workflow_job_id.py 16976338999 i-0cfe2f44e87f9c4d7 2025-08-14T21:34:21.5329324Z Setting output job-id=48128261043 2025-08-14T21:34:21.5330707Z Setting output job-name=linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_amp_freezing_torchbench, 1, 2, linux.8xlarge.amx) 2025-08-14T21:34:21.5461195Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-08-14T21:34:21.5461693Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-08-14T21:34:21.5462362Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 & 2025-08-14T21:34:21.5463067Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:34:21.5468021Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:34:21.5468288Z env: 2025-08-14T21:34:21.5468450Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:34:21.5468640Z JOB_ID: 48128261043 2025-08-14T21:34:21.5469028Z JOB_NAME: linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_amp_freezing_torchbench, 1, 2, linux.8xlarge.amx) 2025-08-14T21:34:21.5469439Z WORKFLOW_NAME: inductor-periodic 2025-08-14T21:34:21.5469701Z WORKFLOW_RUN_ID: 16976338999 2025-08-14T21:34:21.5469900Z MONITOR_LOG_INTERVAL: 5 2025-08-14T21:34:21.5470108Z MONITOR_DATA_COLLECT_INTERVAL: 1 2025-08-14T21:34:21.5470318Z ##[endgroup] 2025-08-14T21:34:21.9677588Z Defaulting to user installation because normal site-packages is not writeable 2025-08-14T21:34:22.2454778Z Collecting psutil==5.9.8 2025-08-14T21:34:22.2626996Z 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) 2025-08-14T21:34:22.3263394Z Collecting dataclasses_json==0.6.7 2025-08-14T21:34:22.3308143Z Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB) 2025-08-14T21:34:22.3548664Z Collecting nvidia-ml-py==11.525.84 2025-08-14T21:34:22.3588456Z Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB) 2025-08-14T21:34:22.4496016Z Collecting marshmallow<4.0.0,>=3.18.0 2025-08-14T21:34:22.4537523Z Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB) 2025-08-14T21:34:22.4768819Z Collecting typing-inspect<1,>=0.4.0 2025-08-14T21:34:22.4816184Z Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB) 2025-08-14T21:34:22.5296712Z Collecting packaging>=17.0 2025-08-14T21:34:22.5338377Z Downloading packaging-25.0-py3-none-any.whl (66 kB) 2025-08-14T21:34:22.5567847Z Collecting mypy-extensions>=0.3.0 2025-08-14T21:34:22.5612587Z Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB) 2025-08-14T21:34:22.6013313Z Collecting typing-extensions>=3.7.4 2025-08-14T21:34:22.6072445Z Downloading typing_extensions-4.14.1-py3-none-any.whl (43 kB) 2025-08-14T21:34:22.6911547Z Installing collected packages: typing-extensions, packaging, mypy-extensions, typing-inspect, marshmallow, psutil, nvidia-ml-py, dataclasses-json 2025-08-14T21:34:22.9516326Z 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 2025-08-14T21:34:23.1282743Z Prepare all required actions 2025-08-14T21:34:23.1283070Z Getting action download info 2025-08-14T21:34:23.2681515Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-08-14T21:34:23.5175689Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093) 2025-08-14T21:34:23.8030433Z ##[group]Run ./.github/actions/download-build-artifacts 2025-08-14T21:34:23.8030761Z with: 2025-08-14T21:34:23.8031005Z name: linux-jammy-py3.9-gcc11-build 2025-08-14T21:34:23.8031270Z s3-bucket: gha-artifacts 2025-08-14T21:34:23.8031488Z env: 2025-08-14T21:34:23.8031653Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:34:23.8031841Z ##[endgroup] 2025-08-14T21:34:23.8054181Z ##[group]Run seemethere/download-artifact-s3@v4 2025-08-14T21:34:23.8054449Z with: 2025-08-14T21:34:23.8054669Z name: linux-jammy-py3.9-gcc11-build 2025-08-14T21:34:23.8054902Z s3-bucket: gha-artifacts 2025-08-14T21:34:23.8055149Z region: us-east-1 2025-08-14T21:34:23.8055317Z env: 2025-08-14T21:34:23.8055482Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:34:23.8055676Z ##[endgroup] 2025-08-14T21:34:24.2216397Z (node:47874) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-08-14T21:34:24.2216754Z 2025-08-14T21:34:24.2216894Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-08-14T21:34:24.2217272Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-08-14T21:34:24.2218049Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-08-14T21:34:24.5263744Z Found 1 objects with prefix pytorch/pytorch/16976338999/linux-jammy-py3.9-gcc11-build/ 2025-08-14T21:34:24.5264275Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-08-14T21:34:29.1415768Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-08-14T21:34:29.1421997Z Artifact download has finished successfully 2025-08-14T21:34:29.1627856Z ##[group]Run unzip -o artifacts.zip 2025-08-14T21:34:29.1628119Z unzip -o artifacts.zip 2025-08-14T21:34:29.1633980Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:34:29.1634244Z env: 2025-08-14T21:34:29.1634414Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:34:29.1634608Z ##[endgroup] 2025-08-14T21:34:29.1703686Z Archive: artifacts.zip 2025-08-14T21:34:29.1704192Z creating: dist/ 2025-08-14T21:34:30.3415344Z inflating: dist/torch-2.9.0a0+git1fc683c-cp39-cp39-linux_x86_64.whl 2025-08-14T21:34:30.3415751Z 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2025-08-14T21:34:36.5888440Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:34:36.5888697Z env: 2025-08-14T21:34:36.5888860Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:34:36.5889036Z ##[endgroup] 2025-08-14T21:34:36.6174841Z ##[group]Run df -H 2025-08-14T21:34:36.6175066Z df -H 2025-08-14T21:34:36.6184515Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:34:36.6184781Z env: 2025-08-14T21:34:36.6184978Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:34:36.6185173Z ##[endgroup] 2025-08-14T21:34:36.6226352Z Filesystem Size Used Avail Use% Mounted on 2025-08-14T21:34:36.6226689Z devtmpfs 4.2M 0 4.2M 0% /dev 2025-08-14T21:34:36.6226985Z tmpfs 67G 0 67G 0% /dev/shm 2025-08-14T21:34:36.6227288Z tmpfs 27G 791k 27G 1% /run 2025-08-14T21:34:36.6227515Z /dev/nvme0n1p1 215G 69G 146G 33% / 2025-08-14T21:34:36.6227744Z tmpfs 67G 13k 67G 1% /tmp 2025-08-14T21:34:36.6227989Z /dev/nvme0n1p128 11M 1.4M 9.2M 13% /boot/efi 2025-08-14T21:34:36.6259369Z Prepare all required actions 2025-08-14T21:34:36.6260322Z Getting action download info 2025-08-14T21:34:36.7407971Z ##[group]Run ./.github/actions/download-td-artifacts 2025-08-14T21:34:36.7408265Z with: 2025-08-14T21:34:36.7408438Z env: 2025-08-14T21:34:36.7408622Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:34:36.7408830Z ##[endgroup] 2025-08-14T21:34:36.7432751Z ##[group]Run seemethere/download-artifact-s3@v4 2025-08-14T21:34:36.7432997Z with: 2025-08-14T21:34:36.7433170Z name: td_results 2025-08-14T21:34:36.7433358Z s3-bucket: gha-artifacts 2025-08-14T21:34:36.7433550Z region: us-east-1 2025-08-14T21:34:36.7433735Z env: 2025-08-14T21:34:36.7433896Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:34:36.7434075Z ##[endgroup] 2025-08-14T21:34:37.1042430Z (node:47897) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-08-14T21:34:37.1042957Z 2025-08-14T21:34:37.1043305Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-08-14T21:34:37.1043705Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-08-14T21:34:37.1044080Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-08-14T21:34:37.1941657Z Found 0 objects with prefix pytorch/pytorch/16976338999/td_results/ 2025-08-14T21:34:37.1947491Z Artifact download has finished successfully 2025-08-14T21:34:37.2138121Z ##[group]Run mkdir -p .additional_ci_files 2025-08-14T21:34:37.2138408Z mkdir -p .additional_ci_files 2025-08-14T21:34:37.2138708Z mv td_results.json .additional_ci_files/td_results.json || true 2025-08-14T21:34:37.2144099Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:34:37.2144363Z env: 2025-08-14T21:34:37.2144531Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:34:37.2144715Z ##[endgroup] 2025-08-14T21:34:37.2195825Z mv: cannot stat 'td_results.json': No such file or directory 2025-08-14T21:34:37.2221301Z ##[group]Run .github/scripts/parse_ref.py 2025-08-14T21:34:37.2221677Z .github/scripts/parse_ref.py 2025-08-14T21:34:37.2226116Z shell: /usr/bin/bash -e {0} 2025-08-14T21:34:37.2226308Z env: 2025-08-14T21:34:37.2226471Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:34:37.2226651Z ##[endgroup] 2025-08-14T21:34:37.2425117Z Setting output branch=main 2025-08-14T21:34:37.2517686Z Prepare all required actions 2025-08-14T21:34:37.2518060Z Getting action download info 2025-08-14T21:34:37.3743815Z ##[group]Run ./.github/actions/filter-test-configs 2025-08-14T21:34:37.3744109Z with: 2025-08-14T21:34:37.3744622Z github-token: *** 2025-08-14T21:34:37.3749678Z test-matrix: {"include": [{"config": "cpu_inductor_freezing_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_freezing_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_freezing_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_amp_freezing_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_amp_freezing_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_amp_freezing_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_amp_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_amp_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_freezing_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_freezing_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_freezing_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_amp_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_amp_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_aot_inductor_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_aot_inductor_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_aot_inductor_amp_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_aot_inductor_amp_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}]} 2025-08-14T21:34:37.3755073Z job-name: linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_amp_freezing_torchbench, 1, 2, linux.8xlarge.amx) 2025-08-14T21:34:37.3755538Z env: 2025-08-14T21:34:37.3755727Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:34:37.3755940Z ##[endgroup] 2025-08-14T21:34:37.3782881Z ##[group]Run nick-fields/retry@v3.0.0 2025-08-14T21:34:37.3783137Z with: 2025-08-14T21:34:37.3783334Z shell: bash 2025-08-14T21:34:37.3783527Z timeout_minutes: 10 2025-08-14T21:34:37.3783721Z max_attempts: 5 2025-08-14T21:34:37.3783920Z retry_wait_seconds: 30 2025-08-14T21:34:37.3784502Z 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 2025-08-14T21:34:37.3785123Z polling_interval_seconds: 1 2025-08-14T21:34:37.3785345Z warning_on_retry: true 2025-08-14T21:34:37.3785559Z continue_on_error: false 2025-08-14T21:34:37.3785772Z env: 2025-08-14T21:34:37.3785946Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:34:37.3786501Z GITHUB_TOKEN: *** 2025-08-14T21:34:37.3786697Z ##[endgroup] 2025-08-14T21:34:37.4695024Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-08-14T21:34:37.6664893Z Defaulting to user installation because normal site-packages is not writeable 2025-08-14T21:34:37.7581009Z Collecting requests==2.27.1 2025-08-14T21:34:37.7731337Z Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB) 2025-08-14T21:34:37.8962968Z Collecting pyyaml==6.0.2 2025-08-14T21:34:37.9000528Z Downloading PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (737 kB) 2025-08-14T21:34:37.9204519Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (2.10) 2025-08-14T21:34:37.9569289Z Collecting certifi>=2017.4.17 2025-08-14T21:34:37.9610986Z Downloading certifi-2025.8.3-py3-none-any.whl (161 kB) 2025-08-14T21:34:38.2221253Z Collecting charset-normalizer~=2.0.0 2025-08-14T21:34:38.2262780Z Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB) 2025-08-14T21:34:38.2369738Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (1.25.10) 2025-08-14T21:34:38.3023411Z Installing collected packages: charset-normalizer, certifi, requests, pyyaml 2025-08-14T21:34:38.4353325Z Successfully installed certifi-2025.8.3 charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1 2025-08-14T21:34:39.4448975Z Command completed after 1 attempt(s). 2025-08-14T21:34:39.4502306Z ##[group]Run set -x 2025-08-14T21:34:39.4502511Z set -x 2025-08-14T21:34:39.4502676Z  2025-08-14T21:34:39.4502931Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-08-14T21:34:39.4503231Z # in runner workspace 2025-08-14T21:34:39.4503485Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py" 2025-08-14T21:34:39.4508989Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:34:39.4509235Z env: 2025-08-14T21:34:39.4509420Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:34:39.4509601Z ##[endgroup] 2025-08-14T21:34:39.4533772Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py 2025-08-14T21:34:39.4686150Z Setting output branch=main 2025-08-14T21:34:39.4736136Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}" 2025-08-14T21:34:39.4736468Z echo "Workflow: ${GITHUB_WORKFLOW}" 2025-08-14T21:34:39.4736703Z echo "Job name: ${JOB_NAME}" 2025-08-14T21:34:39.4736908Z  2025-08-14T21:34:39.4737179Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-08-14T21:34:39.4737504Z # in runner workspace 2025-08-14T21:34:39.4737804Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \ 2025-08-14T21:34:39.4738124Z  --workflow "${GITHUB_WORKFLOW}" \ 2025-08-14T21:34:39.4738361Z  --job-name "${JOB_NAME}" \ 2025-08-14T21:34:39.4742924Z  --test-matrix "{"include": [{"config": "cpu_inductor_freezing_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_freezing_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_freezing_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_amp_freezing_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_amp_freezing_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_amp_freezing_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_amp_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_amp_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_freezing_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_freezing_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_freezing_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_amp_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_amp_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_aot_inductor_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_aot_inductor_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_aot_inductor_amp_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_aot_inductor_amp_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}]}" \ 2025-08-14T21:34:39.4747718Z  --selected-test-configs "" \ 2025-08-14T21:34:39.4747985Z  --pr-number "${PR_NUMBER}" \ 2025-08-14T21:34:39.4748242Z  --tag "${TAG}" \ 2025-08-14T21:34:39.4748488Z  --event-name "${EVENT_NAME}" \ 2025-08-14T21:34:39.4748739Z  --schedule "${SCHEDULE}" \ 2025-08-14T21:34:39.4748988Z  --branch "${HEAD_BRANCH}" 2025-08-14T21:34:39.4754449Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:34:39.4754752Z env: 2025-08-14T21:34:39.4754945Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:34:39.4755690Z GITHUB_TOKEN: *** 2025-08-14T21:34:39.4756173Z JOB_NAME: linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_amp_freezing_torchbench, 1, 2, linux.8xlarge.amx) 2025-08-14T21:34:39.4756652Z PR_NUMBER: 2025-08-14T21:34:39.4756830Z TAG: 2025-08-14T21:34:39.4757012Z EVENT_NAME: schedule 2025-08-14T21:34:39.4757236Z SCHEDULE: 45 0,4,8,12,16,20 * * 1-5 2025-08-14T21:34:39.4757466Z HEAD_BRANCH: main 2025-08-14T21:34:39.4757664Z ##[endgroup] 2025-08-14T21:34:39.4783000Z Workflow: inductor-periodic 2025-08-14T21:34:39.4783493Z Job name: linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_amp_freezing_torchbench, 1, 2, linux.8xlarge.amx) 2025-08-14T21:34:39.7035792Z Setting output keep-going=True 2025-08-14T21:34:39.7037971Z Setting output ci-verbose-test-logs=False 2025-08-14T21:34:39.7038244Z Setting output ci-test-showlocals=False 2025-08-14T21:34:39.7038503Z Setting output ci-no-test-timeout=False 2025-08-14T21:34:39.7038733Z Setting output ci-no-td=False 2025-08-14T21:34:39.7038956Z Setting output ci-td-distributed=False 2025-08-14T21:34:39.7039212Z Setting output is-unstable=False 2025-08-14T21:34:39.7039430Z Setting output reenabled-issues= 2025-08-14T21:34:39.7044201Z Setting output test-matrix={"include": [{"config": "cpu_inductor_freezing_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_freezing_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_freezing_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_amp_freezing_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_amp_freezing_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_amp_freezing_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_amp_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_amp_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_freezing_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_freezing_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_freezing_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_amp_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_amp_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_aot_inductor_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_aot_inductor_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_aot_inductor_amp_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_aot_inductor_amp_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}]} 2025-08-14T21:34:39.7049169Z Setting output is-test-matrix-empty=False 2025-08-14T21:34:39.7159616Z ##[group]Run echo "Filtered matrix:" 2025-08-14T21:34:39.7159888Z echo "Filtered matrix:" 2025-08-14T21:34:39.7164330Z echo "{"include": [{"config": "cpu_inductor_freezing_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_freezing_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_freezing_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_amp_freezing_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_amp_freezing_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_amp_freezing_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_amp_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_amp_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_freezing_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_freezing_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_freezing_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_amp_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_amp_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_aot_inductor_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_aot_inductor_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_aot_inductor_amp_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_aot_inductor_amp_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}]}" 2025-08-14T21:34:39.7169057Z  2025-08-14T21:34:39.7169238Z echo 2025-08-14T21:34:39.7169478Z echo "Is the current job unstable? False" 2025-08-14T21:34:39.7169755Z  2025-08-14T21:34:39.7169924Z echo 2025-08-14T21:34:39.7170144Z echo "Is keep-going label set? True" 2025-08-14T21:34:39.7170507Z  2025-08-14T21:34:39.7170678Z echo 2025-08-14T21:34:39.7170882Z echo "Reenabled issues? " 2025-08-14T21:34:39.7176908Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:34:39.7177205Z env: 2025-08-14T21:34:39.7177384Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:34:39.7177599Z ##[endgroup] 2025-08-14T21:34:39.7205513Z Filtered matrix: 2025-08-14T21:34:39.7210260Z {include: [{config: cpu_inductor_freezing_huggingface, shard: 1, num_shards: 1, runner: linux.8xlarge.amx}, {config: cpu_inductor_freezing_timm, shard: 1, num_shards: 2, runner: linux.8xlarge.amx}, {config: cpu_inductor_freezing_timm, shard: 2, num_shards: 2, runner: linux.8xlarge.amx}, {config: cpu_inductor_freezing_torchbench, shard: 1, num_shards: 2, runner: linux.8xlarge.amx}, {config: cpu_inductor_freezing_torchbench, shard: 2, num_shards: 2, runner: linux.8xlarge.amx}, {config: cpu_inductor_amp_freezing_huggingface, shard: 1, num_shards: 1, runner: linux.8xlarge.amx}, {config: cpu_inductor_amp_freezing_timm, shard: 1, num_shards: 2, runner: linux.8xlarge.amx}, {config: cpu_inductor_amp_freezing_timm, shard: 2, num_shards: 2, runner: linux.8xlarge.amx}, {config: cpu_inductor_amp_freezing_torchbench, shard: 1, num_shards: 2, runner: linux.8xlarge.amx}, {config: cpu_inductor_amp_freezing_torchbench, shard: 2, num_shards: 2, runner: linux.8xlarge.amx}, {config: cpu_aot_inductor_freezing_huggingface, shard: 1, num_shards: 1, runner: linux.8xlarge.amx}, {config: cpu_aot_inductor_freezing_timm, shard: 1, num_shards: 2, runner: linux.8xlarge.amx}, {config: cpu_aot_inductor_freezing_timm, shard: 2, num_shards: 2, runner: linux.8xlarge.amx}, {config: cpu_aot_inductor_freezing_torchbench, shard: 1, num_shards: 2, runner: linux.8xlarge.amx}, {config: cpu_aot_inductor_freezing_torchbench, shard: 2, num_shards: 2, runner: linux.8xlarge.amx}, {config: cpu_aot_inductor_amp_freezing_torchbench, shard: 1, num_shards: 2, runner: linux.8xlarge.amx}, {config: cpu_aot_inductor_amp_freezing_torchbench, shard: 2, num_shards: 2, runner: linux.8xlarge.amx}, {config: dynamic_cpu_aot_inductor_freezing_torchbench, shard: 1, num_shards: 2, runner: linux.8xlarge.amx}, {config: dynamic_cpu_aot_inductor_freezing_torchbench, shard: 2, num_shards: 2, runner: linux.8xlarge.amx}, {config: dynamic_cpu_aot_inductor_amp_freezing_torchbench, shard: 1, num_shards: 2, runner: linux.8xlarge.amx}, {config: dynamic_cpu_aot_inductor_amp_freezing_torchbench, shard: 2, num_shards: 2, runner: linux.8xlarge.amx}]} 2025-08-14T21:34:39.7215150Z 2025-08-14T21:34:39.7215256Z Is the current job unstable? False 2025-08-14T21:34:39.7215430Z 2025-08-14T21:34:39.7215525Z Is keep-going label set? True 2025-08-14T21:34:39.7215690Z 2025-08-14T21:34:39.7215779Z Reenabled issues? 2025-08-14T21:34:39.7250334Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-08-14T21:34:39.7250756Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-08-14T21:34:39.7256343Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:34:39.7256645Z env: 2025-08-14T21:34:39.7256827Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:34:39.7257042Z JOB_TIMEOUT: 240 2025-08-14T21:34:39.7257238Z ##[endgroup] 2025-08-14T21:34:39.7407080Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-14T21:34:39.7407449Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-14T21:34:39.7407749Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-14T21:34:39.7412491Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:34:39.7412750Z env: 2025-08-14T21:34:39.7412922Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:34:39.7413235Z ##[endgroup] 2025-08-14T21:34:39.7501709Z ##[group]Run set -x 2025-08-14T21:34:39.7501975Z set -x 2025-08-14T21:34:39.7502131Z  2025-08-14T21:34:39.7502323Z if [[ $TEST_CONFIG == 'multigpu' ]]; then 2025-08-14T21:34:39.7502607Z  TEST_COMMAND=.ci/pytorch/multigpu-test.sh 2025-08-14T21:34:39.7502874Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then 2025-08-14T21:34:39.7503127Z  TEST_COMMAND=.ci/onnx/test.sh 2025-08-14T21:34:39.7503340Z else 2025-08-14T21:34:39.7503527Z  TEST_COMMAND=.ci/pytorch/test.sh 2025-08-14T21:34:39.7503743Z fi 2025-08-14T21:34:39.7503889Z  2025-08-14T21:34:39.7504077Z # Leaving 1GB for the runner and other things 2025-08-14T21:34:39.7504446Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo) 2025-08-14T21:34:39.7505020Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap 2025-08-14T21:34:39.7505485Z # comes from https://github.com/pytorch/test-infra/pull/6058 2025-08-14T21:34:39.7505822Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3)) 2025-08-14T21:34:39.7506093Z  2025-08-14T21:34:39.7506284Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-08-14T21:34:39.7506512Z  SHM_OPTS= 2025-08-14T21:34:39.7506692Z  JENKINS_USER= 2025-08-14T21:34:39.7506937Z  # ensure that docker container cleanly exits in 12 hours 2025-08-14T21:34:39.7507245Z  # if for some reason cleanup action doesn't stop container 2025-08-14T21:34:39.7507507Z  # when job is cancelled 2025-08-14T21:34:39.7507723Z  DOCKER_SHELL_CMD="sleep 12h" 2025-08-14T21:34:39.7507927Z else 2025-08-14T21:34:39.7508104Z  SHM_OPTS="--shm-size=${SHM_SIZE}" 2025-08-14T21:34:39.7508337Z  JENKINS_USER="--user jenkins" 2025-08-14T21:34:39.7508569Z  DOCKER_SHELL_CMD= 2025-08-14T21:34:39.7508738Z fi 2025-08-14T21:34:39.7508881Z  2025-08-14T21:34:39.7509099Z # detached container should get cleaned up by teardown_ec2_linux 2025-08-14T21:34:39.7509419Z # TODO: Stop building test binaries as part of the build phase 2025-08-14T21:34:39.7509783Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice 2025-08-14T21:34:39.7510101Z # shellcheck disable=SC2086,SC2090 2025-08-14T21:34:39.7510320Z container_name=$(docker run \ 2025-08-14T21:34:39.7510522Z  ${GPU_FLAG:-} \ 2025-08-14T21:34:39.7510729Z  ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \ 2025-08-14T21:34:39.7510953Z  -e BUILD_ENVIRONMENT \ 2025-08-14T21:34:39.7511146Z  -e PR_NUMBER \ 2025-08-14T21:34:39.7511333Z  -e GITHUB_ACTIONS \ 2025-08-14T21:34:39.7511528Z  -e GITHUB_REPOSITORY \ 2025-08-14T21:34:39.7511738Z  -e GITHUB_WORKFLOW \ 2025-08-14T21:34:39.7511932Z  -e GITHUB_JOB \ 2025-08-14T21:34:39.7512119Z  -e GITHUB_RUN_ID \ 2025-08-14T21:34:39.7512311Z  -e GITHUB_RUN_NUMBER \ 2025-08-14T21:34:39.7512506Z  -e GITHUB_RUN_ATTEMPT \ 2025-08-14T21:34:39.7512707Z  -e JOB_ID \ 2025-08-14T21:34:39.7512893Z  -e JOB_NAME \ 2025-08-14T21:34:39.7513076Z  -e BASE_SHA \ 2025-08-14T21:34:39.7513262Z  -e BRANCH \ 2025-08-14T21:34:39.7513447Z  -e SHA1 \ 2025-08-14T21:34:39.7513629Z  -e AWS_DEFAULT_REGION \ 2025-08-14T21:34:39.7513836Z  -e IN_WHEEL_TEST \ 2025-08-14T21:34:39.7514034Z  -e SHARD_NUMBER \ 2025-08-14T21:34:39.7514239Z  -e TEST_CONFIG \ 2025-08-14T21:34:39.7514424Z  -e NUM_TEST_SHARDS \ 2025-08-14T21:34:39.7514629Z  -e REENABLED_ISSUES \ 2025-08-14T21:34:39.7514841Z  -e CONTINUE_THROUGH_ERROR \ 2025-08-14T21:34:39.7515227Z  -e VERBOSE_TEST_LOGS \ 2025-08-14T21:34:39.7515436Z  -e TEST_SHOWLOCALS \ 2025-08-14T21:34:39.7515636Z  -e NO_TEST_TIMEOUT \ 2025-08-14T21:34:39.7515821Z  -e NO_TD \ 2025-08-14T21:34:39.7516009Z  -e TD_DISTRIBUTED \ 2025-08-14T21:34:39.7516212Z  -e PR_LABELS \ 2025-08-14T21:34:39.7516428Z  -e MAX_JOBS="$(nproc --ignore=2)" \ 2025-08-14T21:34:39.7516647Z  -e SCCACHE_BUCKET \ 2025-08-14T21:34:39.7516842Z  -e SCCACHE_REGION \ 2025-08-14T21:34:39.7517040Z  -e XLA_CUDA \ 2025-08-14T21:34:39.7517240Z  -e XLA_CLANG_CACHE_S3_BUCKET_NAME \ 2025-08-14T21:34:39.7517487Z  -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \ 2025-08-14T21:34:39.7517735Z  -e PYTORCH_TEST_RERUN_DISABLED_TESTS \ 2025-08-14T21:34:39.7517974Z  -e SKIP_SCCACHE_INITIALIZATION=1 \ 2025-08-14T21:34:39.7518207Z  -e HUGGING_FACE_HUB_TOKEN \ 2025-08-14T21:34:39.7518440Z  -e SCRIBE_GRAPHQL_ACCESS_TOKEN \ 2025-08-14T21:34:39.7518660Z  -e DASHBOARD_TAG \ 2025-08-14T21:34:39.7518850Z  -e ARTIFACTS_FILE_SUFFIX \ 2025-08-14T21:34:39.7519098Z  --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \ 2025-08-14T21:34:39.7519376Z  --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \ 2025-08-14T21:34:39.7519648Z  --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \ 2025-08-14T21:34:39.7519916Z  --security-opt seccomp=unconfined \ 2025-08-14T21:34:39.7520149Z  --cap-add=SYS_PTRACE \ 2025-08-14T21:34:39.7520351Z  --ipc=host \ 2025-08-14T21:34:39.7520526Z  ${SHM_OPTS} \ 2025-08-14T21:34:39.7520702Z  --tty \ 2025-08-14T21:34:39.7520868Z  --detach \ 2025-08-14T21:34:39.7521052Z  --name="${container_name}" \ 2025-08-14T21:34:39.7521267Z  ${JENKINS_USER} \ 2025-08-14T21:34:39.7521511Z  -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \ 2025-08-14T21:34:39.7521775Z  -w /var/lib/jenkins/workspace \ 2025-08-14T21:34:39.7521991Z  "${DOCKER_IMAGE}" \ 2025-08-14T21:34:39.7522191Z  ${DOCKER_SHELL_CMD} 2025-08-14T21:34:39.7522366Z ) 2025-08-14T21:34:39.7522573Z # Propagate download.pytorch.org IP to container 2025-08-14T21:34:39.7523001Z grep download.pytorch.org /etc/hosts | docker exec -i "${container_name}" sudo bash -c "/bin/cat >> /etc/hosts" 2025-08-14T21:34:39.7523451Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}" 2025-08-14T21:34:39.7523707Z  2025-08-14T21:34:39.7523919Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-08-14T21:34:39.7524290Z  docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt" 2025-08-14T21:34:39.7524619Z fi 2025-08-14T21:34:39.7524774Z  2025-08-14T21:34:39.7525093Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}" 2025-08-14T21:34:39.7530132Z shell: /usr/bin/bash -e {0} 2025-08-14T21:34:39.7530343Z env: 2025-08-14T21:34:39.7530505Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:34:39.7530744Z BUILD_ENVIRONMENT: linux-jammy-py3.9-gcc11-build 2025-08-14T21:34:39.7530995Z PR_NUMBER: 2025-08-14T21:34:39.7531171Z GITHUB_REPOSITORY: pytorch/pytorch 2025-08-14T21:34:39.7531402Z GITHUB_WORKFLOW: inductor-periodic 2025-08-14T21:34:39.7531617Z GITHUB_JOB: test 2025-08-14T21:34:39.7531785Z GITHUB_RUN_ID: 16976338999 2025-08-14T21:34:39.7531983Z GITHUB_RUN_NUMBER: 66307 2025-08-14T21:34:39.7532174Z GITHUB_RUN_ATTEMPT: 1 2025-08-14T21:34:39.7532355Z JOB_ID: 48128261043 2025-08-14T21:34:39.7532739Z JOB_NAME: linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_amp_freezing_torchbench, 1, 2, linux.8xlarge.amx) 2025-08-14T21:34:39.7533151Z BRANCH: main 2025-08-14T21:34:39.7533347Z SHA1: 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:34:39.7533777Z BASE_SHA: 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:34:39.7534159Z TEST_CONFIG: cpu_inductor_amp_freezing_torchbench 2025-08-14T21:34:39.7534496Z SHARD_NUMBER: 1 2025-08-14T21:34:39.7534665Z NUM_TEST_SHARDS: 2 2025-08-14T21:34:39.7534842Z REENABLED_ISSUES: 2025-08-14T21:34:39.7535024Z CONTINUE_THROUGH_ERROR: True 2025-08-14T21:34:39.7535228Z VERBOSE_TEST_LOGS: False 2025-08-14T21:34:39.7535415Z TEST_SHOWLOCALS: False 2025-08-14T21:34:39.7535615Z NO_TEST_TIMEOUT: False 2025-08-14T21:34:39.7535793Z NO_TD: False 2025-08-14T21:34:39.7535950Z TD_DISTRIBUTED: False 2025-08-14T21:34:39.7536178Z SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2 2025-08-14T21:34:39.7536430Z SCCACHE_REGION: us-east-1 2025-08-14T21:34:39.7536612Z SHM_SIZE: 1g 2025-08-14T21:34:39.7537159Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:34:39.7537756Z XLA_CUDA: 2025-08-14T21:34:39.7538013Z XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla 2025-08-14T21:34:39.7538317Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0 2025-08-14T21:34:39.7538549Z PYTORCH_TEST_RERUN_DISABLED_TESTS: 0 2025-08-14T21:34:39.7538757Z DASHBOARD_TAG: 2025-08-14T21:34:39.7539135Z HUGGING_FACE_HUB_TOKEN: *** 2025-08-14T21:34:39.7539416Z SCRIBE_GRAPHQL_ACCESS_TOKEN: *** 2025-08-14T21:34:39.7539777Z ARTIFACTS_FILE_SUFFIX: test-cpu_inductor_amp_freezing_torchbench-1-2-linux.8xlarge.amx_48128261043 2025-08-14T21:34:39.7540132Z ##[endgroup] 2025-08-14T21:34:39.7561211Z + [[ cpu_inductor_amp_freezing_torchbench == \m\u\l\t\i\g\p\u ]] 2025-08-14T21:34:39.7561661Z + [[ linux-jammy-py3.9-gcc11-build == *onnx* ]] 2025-08-14T21:34:39.7562009Z + TEST_COMMAND=.ci/pytorch/test.sh 2025-08-14T21:34:39.7565879Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo 2025-08-14T21:34:39.7585806Z + TOTAL_AVAILABLE_MEMORY_IN_GB='122.780 ' 2025-08-14T21:34:39.7586070Z + TOTAL_MEMORY_WITH_SWAP=125 2025-08-14T21:34:39.7586646Z + [[ linux-jammy-py3.9-gcc11-build == *\s\3\9\0\x* ]] 2025-08-14T21:34:39.7586937Z + SHM_OPTS=--shm-size=1g 2025-08-14T21:34:39.7587135Z + JENKINS_USER='--user jenkins' 2025-08-14T21:34:39.7587312Z + DOCKER_SHELL_CMD= 2025-08-14T21:34:39.7597339Z +++ nproc --ignore=2 2025-08-14T21:34:39.7623168Z ++ 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_16976338999 --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 2025-08-14T21:34:53.7799942Z + container_name=2dddb37ee66ffbfca4d5cb4a8ce2e72dfa4c597c4d5d00c8cf3abd796f0cf2c8 2025-08-14T21:34:53.7804819Z + grep download.pytorch.org /etc/hosts 2025-08-14T21:34:53.7805785Z + docker exec -i 2dddb37ee66ffbfca4d5cb4a8ce2e72dfa4c597c4d5d00c8cf3abd796f0cf2c8 sudo bash -c '/bin/cat >> /etc/hosts' 2025-08-14T21:34:53.9006616Z + echo DOCKER_CONTAINER_ID=2dddb37ee66ffbfca4d5cb4a8ce2e72dfa4c597c4d5d00c8cf3abd796f0cf2c8 2025-08-14T21:34:53.9007525Z + [[ linux-jammy-py3.9-gcc11-build == *\s\3\9\0\x* ]] 2025-08-14T21:34:53.9011397Z ++ echo dist/torch-2.9.0a0+git1fc683c-cp39-cp39-linux_x86_64.whl 2025-08-14T21:34:53.9013946Z + docker exec -t 2dddb37ee66ffbfca4d5cb4a8ce2e72dfa4c597c4d5d00c8cf3abd796f0cf2c8 sh -c 'python3 -m pip install dist/torch-2.9.0a0+git1fc683c-cp39-cp39-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh' 2025-08-14T21:34:54.2591129Z Processing ./dist/torch-2.9.0a0+git1fc683c-cp39-cp39-linux_x86_64.whl (from torch==2.9.0a0+git1fc683c) 2025-08-14T21:34:54.4879217Z 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) 2025-08-14T21:34:54.4883073Z 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) 2025-08-14T21:34:54.4884163Z 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) 2025-08-14T21:34:54.4884954Z 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) 2025-08-14T21:34:54.4886271Z 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) 2025-08-14T21:34:54.4887217Z 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) 2025-08-14T21:34:54.4903291Z 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) 2025-08-14T21:34:54.5203585Z 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) 2025-08-14T21:34:54.5213805Z 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) 2025-08-14T21:34:54.5267333Z 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) 2025-08-14T21:34:55.3389606Z Installing collected packages: torch 2025-08-14T21:35:03.0311053Z 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. 2025-08-14T21:35:03.0311710Z dall-e 0.1 requires torchvision, which is not installed. 2025-08-14T21:35:03.0312017Z effdet 0.4.1 requires torchvision, which is not installed. 2025-08-14T21:35:03.0312433Z pytorch-labs-segment-anything-fast 0.2 requires torchao, which is not installed. 2025-08-14T21:35:03.0313003Z pytorch-labs-segment-anything-fast 0.2 requires torchvision>=0.17.0.dev20231026, which is not installed. 2025-08-14T21:35:03.0313524Z timm 1.0.14 requires torchvision, which is not installed. 2025-08-14T21:35:03.0313929Z Successfully installed torch-2.9.0a0+git1fc683c 2025-08-14T21:35:03.1414939Z + export TERM=vt100 2025-08-14T21:35:03.1418868Z + TERM=vt100 2025-08-14T21:35:03.1419368Z ++ dirname .ci/pytorch/test.sh 2025-08-14T21:35:03.1423639Z + source .ci/pytorch/common.sh 2025-08-14T21:35:03.1437003Z +++ dirname .ci/pytorch/common.sh 2025-08-14T21:35:03.1448741Z ++ source .ci/pytorch/common_utils.sh 2025-08-14T21:35:03.1449023Z +++ declare -f -t trap_add 2025-08-14T21:35:03.1449242Z ++ set -ex -o pipefail 2025-08-14T21:35:03.1449487Z ++ [[ linux-jammy-py3.9-gcc11-build == *rocm* ]] 2025-08-14T21:35:03.1449731Z ++ BUILD_TEST_LIBTORCH=0 2025-08-14T21:35:03.1449968Z ++ dirname .ci/pytorch/test.sh 2025-08-14T21:35:03.1453590Z + source .ci/pytorch/common-build.sh 2025-08-14T21:35:03.1453861Z ++ [[ linux-jammy-py3.9-gcc11-build != *win-* ]] 2025-08-14T21:35:03.1467032Z ++++ dirname .ci/pytorch/common-build.sh 2025-08-14T21:35:03.1484092Z +++ cd .ci/pytorch 2025-08-14T21:35:03.1484315Z +++ pwd -P 2025-08-14T21:35:03.1484947Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch 2025-08-14T21:35:03.1485325Z ++ [[ linux-jammy-py3.9-gcc11-build == *-pch* ]] 2025-08-14T21:35:03.1485619Z ++ which sccache 2025-08-14T21:35:03.1507349Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]] 2025-08-14T21:35:03.1507649Z ++ sccache --stop-server 2025-08-14T21:35:03.1532325Z ++ true 2025-08-14T21:35:03.1532571Z ++ rm -f /var/lib/jenkins/sccache_error.log 2025-08-14T21:35:03.1545320Z ++ trap_add sccache_epilogue EXIT 2025-08-14T21:35:03.1545601Z ++ trap_add_cmd=sccache_epilogue 2025-08-14T21:35:03.1545820Z ++ shift 2025-08-14T21:35:03.1546004Z ++ for trap_add_name in "$@" 2025-08-14T21:35:03.1554843Z ++++ trap -p EXIT 2025-08-14T21:35:03.1555096Z +++ eval 'extract_trap_cmd ' 2025-08-14T21:35:03.1555356Z ++++ extract_trap_cmd 2025-08-14T21:35:03.1555537Z ++++ printf '%s\n' '' 2025-08-14T21:35:03.1555718Z +++ printf '%s\n' sccache_epilogue 2025-08-14T21:35:03.1561991Z ++ trap -- ' 2025-08-14T21:35:03.1562375Z sccache_epilogue' EXIT 2025-08-14T21:35:03.1562579Z ++ [[ -n 1 ]] 2025-08-14T21:35:03.1563415Z ++ echo 'Skipping sccache server initialization, setting environment variables' 2025-08-14T21:35:03.1563866Z Skipping sccache server initialization, setting environment variables 2025-08-14T21:35:03.1564172Z ++ export SCCACHE_IDLE_TIMEOUT=0 2025-08-14T21:35:03.1564385Z ++ SCCACHE_IDLE_TIMEOUT=0 2025-08-14T21:35:03.1564634Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-08-14T21:35:03.1564944Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-08-14T21:35:03.1565252Z ++ export RUST_LOG=sccache::server=error 2025-08-14T21:35:03.1565475Z ++ RUST_LOG=sccache::server=error 2025-08-14T21:35:03.1565696Z ++ sccache --zero-stats 2025-08-14T21:35:03.3207676Z Statistics zeroed. 2025-08-14T21:35:03.3208545Z ++ which ccache 2025-08-14T21:35:03.3233715Z + [[ linux-jammy-py3.9-gcc11-build != *rocm* ]] 2025-08-14T21:35:03.3234047Z + [[ linux-jammy-py3.9-gcc11-build != *s390x* ]] 2025-08-14T21:35:03.3234319Z + [[ -d /var/lib/jenkins/workspace ]] 2025-08-14T21:35:03.3240437Z ++ stat -c %u /var/lib/jenkins/workspace 2025-08-14T21:35:03.3269217Z + WORKSPACE_ORIGINAL_OWNER_ID=1000 2025-08-14T21:35:03.3269747Z + trap_add cleanup_workspace EXIT 2025-08-14T21:35:03.3270057Z + trap_add_cmd=cleanup_workspace 2025-08-14T21:35:03.3270429Z + shift 2025-08-14T21:35:03.3270637Z + for trap_add_name in "$@" 2025-08-14T21:35:03.3273670Z +++ trap -p EXIT 2025-08-14T21:35:03.3276219Z ++ eval 'extract_trap_cmd trap -- '\'' 2025-08-14T21:35:03.3276575Z sccache_epilogue'\'' EXIT' 2025-08-14T21:35:03.3276787Z +++ extract_trap_cmd trap -- ' 2025-08-14T21:35:03.3276989Z sccache_epilogue' EXIT 2025-08-14T21:35:03.3277166Z +++ printf '%s\n' ' 2025-08-14T21:35:03.3277345Z sccache_epilogue' 2025-08-14T21:35:03.3277575Z ++ printf '%s\n' cleanup_workspace 2025-08-14T21:35:03.3280325Z + trap -- ' 2025-08-14T21:35:03.3280537Z sccache_epilogue 2025-08-14T21:35:03.3280729Z cleanup_workspace' EXIT 2025-08-14T21:35:03.3280969Z + sudo chown -R jenkins /var/lib/jenkins/workspace 2025-08-14T21:35:03.7684732Z + git config --global --add safe.directory /var/lib/jenkins/workspace 2025-08-14T21:35:03.7702645Z + echo 'Environment variables:' 2025-08-14T21:35:03.7707403Z Environment variables: 2025-08-14T21:35:03.7707721Z + env 2025-08-14T21:35:03.7711487Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-08-14T21:35:03.7711837Z CONTINUE_THROUGH_ERROR=True 2025-08-14T21:35:03.7712405Z BUILD_ENVIRONMENT=linux-jammy-py3.9-gcc11-build 2025-08-14T21:35:03.7712680Z HOSTNAME=2dddb37ee66f 2025-08-14T21:35:03.7713142Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_3254daac-706e-42ca-a3a5-5fd76e29241d 2025-08-14T21:35:03.7713591Z GITHUB_ACTION=__run_2 2025-08-14T21:35:03.7715006Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-08-14T21:35:03.7715242Z GITHUB_RUN_NUMBER=66307 2025-08-14T21:35:03.7716542Z TEST_CONFIG=cpu_inductor_amp_freezing_torchbench 2025-08-14T21:35:03.7716869Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-08-14T21:35:03.7717213Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-08-14T21:35:03.7717500Z SCCACHE_IDLE_TIMEOUT=0 2025-08-14T21:35:03.7718010Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-08-14T21:35:03.7718455Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-08-14T21:35:03.7718727Z GITHUB_REF_TYPE=branch 2025-08-14T21:35:03.7718962Z TORCH_CUDA_ARCH_LIST=Maxwell 2025-08-14T21:35:03.7719200Z BASE_SHA=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:35:03.7719441Z XLA_CUDA= 2025-08-14T21:35:03.7719686Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-08-14T21:35:03.7719988Z HUGGING_FACE_HUB_TOKEN=*** 2025-08-14T21:35:03.7722302Z *** 2025-08-14T21:35:03.7722483Z GITHUB_REPOSITORY_ID=65600975 2025-08-14T21:35:03.7722712Z GITHUB_ACTIONS=true 2025-08-14T21:35:03.7723070Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-08-14T21:35:03.7723340Z SHA1=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:35:03.7723664Z GITHUB_SHA=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:35:03.7724058Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor-periodic.yml@refs/heads/main 2025-08-14T21:35:03.7724492Z UCC_HOME=/usr 2025-08-14T21:35:03.7724656Z VERBOSE_TEST_LOGS=False 2025-08-14T21:35:03.7724850Z GITHUB_REF=refs/heads/main 2025-08-14T21:35:03.7725046Z SHARD_NUMBER=1 2025-08-14T21:35:03.7725294Z GITHUB_REF_PROTECTED=true 2025-08-14T21:35:03.7725494Z HOME=/var/lib/jenkins 2025-08-14T21:35:03.7725701Z GITHUB_API_URL=https://api.github.com 2025-08-14T21:35:03.7725998Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-08-14T21:35:03.7726234Z UCX_COMMIT= 2025-08-14T21:35:03.7726394Z USE_SYSTEM_NCCL=1 2025-08-14T21:35:03.7726566Z NUM_TEST_SHARDS=2 2025-08-14T21:35:03.7726768Z UCX_HOME=/usr 2025-08-14T21:35:03.7727246Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_3254daac-706e-42ca-a3a5-5fd76e29241d 2025-08-14T21:35:03.7728000Z JOB_NAME=linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_amp_freezing_torchbench, 1, 2, linux.8xlarge.amx) 2025-08-14T21:35:03.7728708Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_3254daac-706e-42ca-a3a5-5fd76e29241d 2025-08-14T21:35:03.7729308Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-08-14T21:35:03.7729651Z GITHUB_EVENT_NAME=schedule 2025-08-14T21:35:03.7730030Z DASHBOARD_TAG= 2025-08-14T21:35:03.7730244Z GITHUB_RUN_ID=16976338999 2025-08-14T21:35:03.7730439Z INSTALLED_OPENBLAS= 2025-08-14T21:35:03.7730943Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_3254daac-706e-42ca-a3a5-5fd76e29241d 2025-08-14T21:35:03.7731389Z GITHUB_ACTOR=pytorchmergebot 2025-08-14T21:35:03.7731668Z PR_NUMBER= 2025-08-14T21:35:03.7731830Z DESIRED_CUDA= 2025-08-14T21:35:03.7731993Z GITHUB_RUN_ATTEMPT=1 2025-08-14T21:35:03.7732187Z ANACONDA_PYTHON_VERSION=3.9 2025-08-14T21:35:03.7732516Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-08-14T21:35:03.7732749Z TERM=vt100 2025-08-14T21:35:03.7732936Z INSTALLED_VISION=yes 2025-08-14T21:35:03.7733171Z BRANCH=main 2025-08-14T21:35:03.7733347Z SCCACHE_REGION=us-east-1 2025-08-14T21:35:03.7733541Z OPENSSL_ROOT_DIR=/opt/openssl 2025-08-14T21:35:03.7733749Z CUDA_PATH=/usr/local/cuda 2025-08-14T21:35:03.7734455Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-08-14T21:35:03.7734946Z GITHUB_SERVER_URL=https://github.com 2025-08-14T21:35:03.7735164Z UCC_COMMIT= 2025-08-14T21:35:03.7735343Z REENABLED_ISSUES= 2025-08-14T21:35:03.7735570Z DOCS=yes 2025-08-14T21:35:03.7735723Z SHLVL=1 2025-08-14T21:35:03.7735921Z MAX_JOBS=30 2025-08-14T21:35:03.7736077Z GITHUB_ACTOR_ID=97764156 2025-08-14T21:35:03.7736393Z GITHUB_WORKFLOW_SHA=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:35:03.7737050Z GITHUB_REF_NAME=main 2025-08-14T21:35:03.7737329Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-08-14T21:35:03.7737622Z GITHUB_JOB=test 2025-08-14T21:35:03.7737869Z NO_TEST_TIMEOUT=False 2025-08-14T21:35:03.7738051Z TD_DISTRIBUTED=False 2025-08-14T21:35:03.7738237Z GITHUB_REPOSITORY=pytorch/pytorch 2025-08-14T21:35:03.7738498Z GITHUB_RETENTION_DAYS=90 2025-08-14T21:35:03.7738730Z OPENSSL_DIR=/opt/openssl 2025-08-14T21:35:03.7738923Z GITHUB_ACTION_REPOSITORY= 2025-08-14T21:35:03.7739524Z 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 2025-08-14T21:35:03.7740106Z GITHUB_BASE_REF= 2025-08-14T21:35:03.7740282Z INSTALLED_ACL= 2025-08-14T21:35:03.7740606Z ARTIFACTS_FILE_SUFFIX=test-cpu_inductor_amp_freezing_torchbench-1-2-linux.8xlarge.amx_48128261043 2025-08-14T21:35:03.7741070Z CI=true 2025-08-14T21:35:03.7741236Z GITHUB_REPOSITORY_OWNER=pytorch 2025-08-14T21:35:03.7741528Z RUST_LOG=sccache::server=error 2025-08-14T21:35:03.7741782Z JOB_ID=48128261043 2025-08-14T21:35:03.7741951Z GITHUB_HEAD_REF= 2025-08-14T21:35:03.7742114Z GITHUB_ACTION_REF= 2025-08-14T21:35:03.7742400Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-08-14T21:35:03.7742661Z TEST_SHOWLOCALS=False 2025-08-14T21:35:03.7742857Z GITHUB_WORKFLOW=inductor-periodic 2025-08-14T21:35:03.7743139Z DEBIAN_FRONTEND=noninteractive 2025-08-14T21:35:03.7743579Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_3254daac-706e-42ca-a3a5-5fd76e29241d 2025-08-14T21:35:03.7744073Z NO_TD=False 2025-08-14T21:35:03.7744252Z SKIP_SCCACHE_INITIALIZATION=1 2025-08-14T21:35:03.7744471Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-08-14T21:35:03.7744707Z _=/usr/bin/env 2025-08-14T21:35:03.7744995Z ++ python -c 'import site; print(site.getsitepackages()[0])' 2025-08-14T21:35:03.8005196Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch 2025-08-14T21:35:03.8005957Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/bin 2025-08-14T21:35:03.8006489Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib 2025-08-14T21:35:03.8007025Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/test 2025-08-14T21:35:03.8007456Z + BUILD_DIR=build 2025-08-14T21:35:03.8007678Z + BUILD_RENAMED_DIR=build_renamed 2025-08-14T21:35:03.8007893Z + BUILD_BIN_DIR=build/bin 2025-08-14T21:35:03.8008217Z + SHARD_NUMBER=1 2025-08-14T21:35:03.8009386Z + NUM_TEST_SHARDS=2 2025-08-14T21:35:03.8009881Z + export TORCH_SERIALIZATION_DEBUG=1 2025-08-14T21:35:03.8010253Z + TORCH_SERIALIZATION_DEBUG=1 2025-08-14T21:35:03.8010993Z + export VALGRIND=ON 2025-08-14T21:35:03.8011245Z + VALGRIND=ON 2025-08-14T21:35:03.8011644Z + [[ linux-jammy-py3.9-gcc11-build == *clang9* ]] 2025-08-14T21:35:03.8011942Z + [[ linux-jammy-py3.9-gcc11-build == *xpu* ]] 2025-08-14T21:35:03.8012210Z + [[ linux-jammy-py3.9-gcc11-build == *s390x* ]] 2025-08-14T21:35:03.8012532Z + [[ 0 == \1 ]] 2025-08-14T21:35:03.8012702Z + [[ True == \1 ]] 2025-08-14T21:35:03.8012905Z + [[ linux-jammy-py3.9-gcc11-build != *bazel* ]] 2025-08-14T21:35:03.8013156Z ++ realpath build/custom_test_artifacts 2025-08-14T21:35:03.8016989Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts 2025-08-14T21:35:03.8017339Z + [[ -n '' ]] 2025-08-14T21:35:03.8017526Z + echo 'Environment variables' 2025-08-14T21:35:03.8017725Z Environment variables 2025-08-14T21:35:03.8017898Z + env 2025-08-14T21:35:03.8044669Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-08-14T21:35:03.8045040Z CONTINUE_THROUGH_ERROR=True 2025-08-14T21:35:03.8045319Z BUILD_ENVIRONMENT=linux-jammy-py3.9-gcc11-build 2025-08-14T21:35:03.8045593Z HOSTNAME=2dddb37ee66f 2025-08-14T21:35:03.8045994Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_3254daac-706e-42ca-a3a5-5fd76e29241d 2025-08-14T21:35:03.8046413Z GITHUB_ACTION=__run_2 2025-08-14T21:35:03.8047144Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-08-14T21:35:03.8047363Z GITHUB_RUN_NUMBER=66307 2025-08-14T21:35:03.8047588Z TEST_CONFIG=cpu_inductor_amp_freezing_torchbench 2025-08-14T21:35:03.8047844Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-08-14T21:35:03.8048135Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-08-14T21:35:03.8048355Z SCCACHE_IDLE_TIMEOUT=0 2025-08-14T21:35:03.8048819Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-08-14T21:35:03.8049048Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-08-14T21:35:03.8049272Z GITHUB_REF_TYPE=branch 2025-08-14T21:35:03.8050325Z TORCH_CUDA_ARCH_LIST=Maxwell 2025-08-14T21:35:03.8050605Z BASE_SHA=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:35:03.8050852Z XLA_CUDA= 2025-08-14T21:35:03.8051025Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-08-14T21:35:03.8051441Z HUGGING_FACE_HUB_TOKEN=*** 2025-08-14T21:35:03.8051698Z *** 2025-08-14T21:35:03.8051869Z GITHUB_REPOSITORY_ID=65600975 2025-08-14T21:35:03.8052070Z GITHUB_ACTIONS=true 2025-08-14T21:35:03.8052345Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-08-14T21:35:03.8052617Z SHA1=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:35:03.8052866Z GITHUB_SHA=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:35:03.8053253Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor-periodic.yml@refs/heads/main 2025-08-14T21:35:03.8053598Z UCC_HOME=/usr 2025-08-14T21:35:03.8053774Z TORCH_SERIALIZATION_DEBUG=1 2025-08-14T21:35:03.8053968Z VERBOSE_TEST_LOGS=False 2025-08-14T21:35:03.8054604Z GITHUB_REF=refs/heads/main 2025-08-14T21:35:03.8054798Z SHARD_NUMBER=1 2025-08-14T21:35:03.8054964Z GITHUB_REF_PROTECTED=true 2025-08-14T21:35:03.8055155Z HOME=/var/lib/jenkins 2025-08-14T21:35:03.8055366Z GITHUB_API_URL=https://api.github.com 2025-08-14T21:35:03.8055596Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-08-14T21:35:03.8055804Z UCX_COMMIT= 2025-08-14T21:35:03.8055961Z USE_SYSTEM_NCCL=1 2025-08-14T21:35:03.8056123Z NUM_TEST_SHARDS=2 2025-08-14T21:35:03.8056286Z UCX_HOME=/usr 2025-08-14T21:35:03.8056678Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_3254daac-706e-42ca-a3a5-5fd76e29241d 2025-08-14T21:35:03.8057288Z JOB_NAME=linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_amp_freezing_torchbench, 1, 2, linux.8xlarge.amx) 2025-08-14T21:35:03.8057878Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_3254daac-706e-42ca-a3a5-5fd76e29241d 2025-08-14T21:35:03.8058396Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-08-14T21:35:03.8058711Z GITHUB_EVENT_NAME=schedule 2025-08-14T21:35:03.8058888Z DASHBOARD_TAG= 2025-08-14T21:35:03.8059051Z GITHUB_RUN_ID=16976338999 2025-08-14T21:35:03.8059235Z INSTALLED_OPENBLAS= 2025-08-14T21:35:03.8059619Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_3254daac-706e-42ca-a3a5-5fd76e29241d 2025-08-14T21:35:03.8060051Z GITHUB_ACTOR=pytorchmergebot 2025-08-14T21:35:03.8060244Z PR_NUMBER= 2025-08-14T21:35:03.8060393Z DESIRED_CUDA= 2025-08-14T21:35:03.8060557Z GITHUB_RUN_ATTEMPT=1 2025-08-14T21:35:03.8060730Z VALGRIND=ON 2025-08-14T21:35:03.8060902Z ANACONDA_PYTHON_VERSION=3.9 2025-08-14T21:35:03.8061132Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-08-14T21:35:03.8061370Z TERM=vt100 2025-08-14T21:35:03.8061530Z INSTALLED_VISION=yes 2025-08-14T21:35:03.8061696Z BRANCH=main 2025-08-14T21:35:03.8061859Z SCCACHE_REGION=us-east-1 2025-08-14T21:35:03.8062060Z OPENSSL_ROOT_DIR=/opt/openssl 2025-08-14T21:35:03.8062260Z CUDA_PATH=/usr/local/cuda 2025-08-14T21:35:03.8062609Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-08-14T21:35:03.8062998Z GITHUB_SERVER_URL=https://github.com 2025-08-14T21:35:03.8063208Z UCC_COMMIT= 2025-08-14T21:35:03.8063369Z REENABLED_ISSUES= 2025-08-14T21:35:03.8063540Z DOCS=yes 2025-08-14T21:35:03.8063687Z SHLVL=1 2025-08-14T21:35:03.8063839Z MAX_JOBS=30 2025-08-14T21:35:03.8064002Z GITHUB_ACTOR_ID=97764156 2025-08-14T21:35:03.8064557Z GITHUB_WORKFLOW_SHA=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:35:03.8064820Z GITHUB_REF_NAME=main 2025-08-14T21:35:03.8065094Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-08-14T21:35:03.8065388Z GITHUB_JOB=test 2025-08-14T21:35:03.8065551Z NO_TEST_TIMEOUT=False 2025-08-14T21:35:03.8065729Z TD_DISTRIBUTED=False 2025-08-14T21:35:03.8065924Z GITHUB_REPOSITORY=pytorch/pytorch 2025-08-14T21:35:03.8066131Z GITHUB_RETENTION_DAYS=90 2025-08-14T21:35:03.8066321Z OPENSSL_DIR=/opt/openssl 2025-08-14T21:35:03.8066513Z GITHUB_ACTION_REPOSITORY= 2025-08-14T21:35:03.8067007Z 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 2025-08-14T21:35:03.8067525Z GITHUB_BASE_REF= 2025-08-14T21:35:03.8067695Z INSTALLED_ACL= 2025-08-14T21:35:03.8068010Z ARTIFACTS_FILE_SUFFIX=test-cpu_inductor_amp_freezing_torchbench-1-2-linux.8xlarge.amx_48128261043 2025-08-14T21:35:03.8068369Z CI=true 2025-08-14T21:35:03.8068539Z GITHUB_REPOSITORY_OWNER=pytorch 2025-08-14T21:35:03.8068791Z RUST_LOG=sccache::server=error 2025-08-14T21:35:03.8068988Z JOB_ID=48128261043 2025-08-14T21:35:03.8069154Z GITHUB_HEAD_REF= 2025-08-14T21:35:03.8069322Z GITHUB_ACTION_REF= 2025-08-14T21:35:03.8069530Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-08-14T21:35:03.8069774Z TEST_SHOWLOCALS=False 2025-08-14T21:35:03.8069970Z GITHUB_WORKFLOW=inductor-periodic 2025-08-14T21:35:03.8070183Z DEBIAN_FRONTEND=noninteractive 2025-08-14T21:35:03.8070596Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_3254daac-706e-42ca-a3a5-5fd76e29241d 2025-08-14T21:35:03.8071001Z NO_TD=False 2025-08-14T21:35:03.8071164Z SKIP_SCCACHE_INITIALIZATION=1 2025-08-14T21:35:03.8071385Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-08-14T21:35:03.8071603Z _=/usr/bin/env 2025-08-14T21:35:03.8071766Z + echo 'Testing pytorch' 2025-08-14T21:35:03.8071952Z Testing pytorch 2025-08-14T21:35:03.8072154Z + export LANG=C.UTF-8 2025-08-14T21:35:03.8072329Z + LANG=C.UTF-8 2025-08-14T21:35:03.8072517Z + PR_NUMBER= 2025-08-14T21:35:03.8072738Z + [[ cpu_inductor_amp_freezing_torchbench == \d\e\f\a\u\l\t ]] 2025-08-14T21:35:03.8073065Z + [[ cpu_inductor_amp_freezing_torchbench == \d\i\s\t\r\i\b\u\t\e\d ]] 2025-08-14T21:35:03.8073370Z + [[ cpu_inductor_amp_freezing_torchbench == \s\l\o\w ]] 2025-08-14T21:35:03.8073670Z + [[ linux-jammy-py3.9-gcc11-build == *slow-gradcheck* ]] 2025-08-14T21:35:03.8073960Z + [[ linux-jammy-py3.9-gcc11-build == *cuda* ]] 2025-08-14T21:35:03.8074216Z + [[ linux-jammy-py3.9-gcc11-build == *rocm* ]] 2025-08-14T21:35:03.8074474Z + [[ linux-jammy-py3.9-gcc11-build == *xpu* ]] 2025-08-14T21:35:03.8074756Z + [[ cpu_inductor_amp_freezing_torchbench == *crossref* ]] 2025-08-14T21:35:03.8075033Z + [[ linux-jammy-py3.9-gcc11-build == *rocm* ]] 2025-08-14T21:35:03.8075280Z + [[ linux-jammy-py3.9-gcc11-build == *xpu* ]] 2025-08-14T21:35:03.8075537Z + [[ linux-jammy-py3.9-gcc11-build != *-bazel-* ]] 2025-08-14T21:35:03.8075793Z + pip_install ninja==1.10.2 2025-08-14T21:35:03.8076052Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-08-14T21:35:03.8076370Z + python3 -m pip install --progress-bar off ninja==1.10.2 2025-08-14T21:35:04.2166360Z Collecting ninja==1.10.2 2025-08-14T21:35:04.2287148Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB) 2025-08-14T21:35:04.2413129Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB) 2025-08-14T21:35:05.0474653Z Installing collected packages: ninja 2025-08-14T21:35:05.0475017Z Attempting uninstall: ninja 2025-08-14T21:35:05.0477251Z Found existing installation: ninja 1.11.1.3 2025-08-14T21:35:05.0496877Z Uninstalling ninja-1.11.1.3: 2025-08-14T21:35:05.0599280Z Successfully uninstalled ninja-1.11.1.3 2025-08-14T21:35:05.3356262Z Successfully installed ninja-1.10.2 2025-08-14T21:35:05.4534824Z + 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 2025-08-14T21:35:05.4537056Z + 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 2025-08-14T21:35:05.4537715Z + [[ linux-jammy-py3.9-gcc11-build == *aarch64* ]] 2025-08-14T21:35:05.4537994Z + [[ linux-jammy-py3.9-gcc11-build == *asan* ]] 2025-08-14T21:35:05.4538261Z + [[ linux-jammy-py3.9-gcc11-build == *-debug* ]] 2025-08-14T21:35:05.4538527Z + [[ linux-jammy-py3.9-gcc11-build != *-bazel-* ]] 2025-08-14T21:35:05.4538888Z + echo 'We are not in debug mode: linux-jammy-py3.9-gcc11-build. Expect the assertion to pass' 2025-08-14T21:35:05.4539332Z We are not in debug mode: linux-jammy-py3.9-gcc11-build. Expect the assertion to pass 2025-08-14T21:35:05.4539631Z + cd test 2025-08-14T21:35:05.4539885Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)' 2025-08-14T21:35:06.7585226Z + [[ cpu_inductor_amp_freezing_torchbench == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]] 2025-08-14T21:35:06.7585682Z + [[ cpu_inductor_amp_freezing_torchbench == \n\o\g\p\u\_\A\V\X\5\1\2 ]] 2025-08-14T21:35:06.7586303Z + [[ cpu_inductor_amp_freezing_torchbench == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]] 2025-08-14T21:35:06.7586652Z + DYNAMO_BENCHMARK_FLAGS=() 2025-08-14T21:35:06.7586941Z + [[ cpu_inductor_amp_freezing_torchbench == *pr_time_benchmarks* ]] 2025-08-14T21:35:06.7587279Z + [[ cpu_inductor_amp_freezing_torchbench == *dynamo_eager* ]] 2025-08-14T21:35:06.7587588Z + [[ cpu_inductor_amp_freezing_torchbench == *aot_eager* ]] 2025-08-14T21:35:06.7587888Z + [[ cpu_inductor_amp_freezing_torchbench == *aot_inductor* ]] 2025-08-14T21:35:06.7588216Z + [[ cpu_inductor_amp_freezing_torchbench == *max_autotune_inductor* ]] 2025-08-14T21:35:06.7588544Z + [[ cpu_inductor_amp_freezing_torchbench == *inductor* ]] 2025-08-14T21:35:06.7588890Z + [[ cpu_inductor_amp_freezing_torchbench != *perf* ]] 2025-08-14T21:35:06.7589173Z + DYNAMO_BENCHMARK_FLAGS+=(--inductor) 2025-08-14T21:35:06.7589438Z + [[ cpu_inductor_amp_freezing_torchbench == *dynamic* ]] 2025-08-14T21:35:06.7589719Z + [[ cpu_inductor_amp_freezing_torchbench == *cpu* ]] 2025-08-14T21:35:06.7589971Z + DYNAMO_BENCHMARK_FLAGS+=(--device cpu) 2025-08-14T21:35:06.7830240Z + [[ linux-jammy-py3.9-gcc11-build == *libtorch* ]] 2025-08-14T21:35:06.7830634Z + [[ linux-jammy-py3.9-gcc11-build == *-bazel-* ]] 2025-08-14T21:35:06.7835167Z + cd test 2025-08-14T21:35:06.7835495Z + python -c 'import torch; print(torch.__config__.show())' 2025-08-14T21:35:07.8320585Z PyTorch built with: 2025-08-14T21:35:07.8321076Z - GCC 11.4 2025-08-14T21:35:07.8321282Z - C++ Version: 201703 2025-08-14T21:35:07.8321819Z - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-08-14T21:35:07.8322468Z - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-08-14T21:35:07.8323518Z - OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-08-14T21:35:07.8323875Z - LAPACK is enabled (usually provided by MKL) 2025-08-14T21:35:07.8324122Z - NNPACK is enabled 2025-08-14T21:35:07.8324329Z - CPU capability usage: AVX512 2025-08-14T21:35:07.8327740Z - 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, 2025-08-14T21:35:07.8331203Z 2025-08-14T21:35:08.0914366Z + cd test 2025-08-14T21:35:08.0914769Z + python -c 'import torch; print(torch.__config__.parallel_info())' 2025-08-14T21:35:09.1455233Z ATen/Parallel: 2025-08-14T21:35:09.1455542Z at::get_num_threads() : 16 2025-08-14T21:35:09.1455776Z at::get_num_interop_threads() : 16 2025-08-14T21:35:09.1456002Z OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-08-14T21:35:09.1456222Z omp_get_max_threads() : 16 2025-08-14T21:35:09.1456615Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-08-14T21:35:09.1457054Z mkl_get_max_threads() : 16 2025-08-14T21:35:09.1457343Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-08-14T21:35:09.1457667Z std::thread::hardware_concurrency() : 32 2025-08-14T21:35:09.1457893Z Environment variables: 2025-08-14T21:35:09.1458079Z OMP_NUM_THREADS : [not set] 2025-08-14T21:35:09.1458275Z MKL_NUM_THREADS : [not set] 2025-08-14T21:35:09.1458472Z ATen parallel backend: OpenMP 2025-08-14T21:35:09.1458602Z 2025-08-14T21:35:09.4158571Z + [[ cpu_inductor_amp_freezing_torchbench == *numpy_2* ]] 2025-08-14T21:35:09.4159140Z + [[ linux-jammy-py3.9-gcc11-build == *aarch64* ]] 2025-08-14T21:35:09.4159589Z + [[ cpu_inductor_amp_freezing_torchbench == *backward* ]] 2025-08-14T21:35:09.4160510Z + [[ cpu_inductor_amp_freezing_torchbench == *xla* ]] 2025-08-14T21:35:09.4160914Z + [[ cpu_inductor_amp_freezing_torchbench == *executorch* ]] 2025-08-14T21:35:09.4161290Z + [[ cpu_inductor_amp_freezing_torchbench == \j\i\t\_\l\e\g\a\c\y ]] 2025-08-14T21:35:09.4161689Z + [[ linux-jammy-py3.9-gcc11-build == *libtorch* ]] 2025-08-14T21:35:09.4161987Z + [[ cpu_inductor_amp_freezing_torchbench == distributed ]] 2025-08-14T21:35:09.4162323Z + [[ cpu_inductor_amp_freezing_torchbench == *operator_benchmark* ]] 2025-08-14T21:35:09.4162758Z + [[ cpu_inductor_amp_freezing_torchbench == *inductor_distributed* ]] 2025-08-14T21:35:09.4163117Z + [[ cpu_inductor_amp_freezing_torchbench == *inductor-halide* ]] 2025-08-14T21:35:09.4163459Z + [[ cpu_inductor_amp_freezing_torchbench == *inductor-triton-cpu* ]] 2025-08-14T21:35:09.4163904Z + [[ cpu_inductor_amp_freezing_torchbench == *inductor-micro-benchmark* ]] 2025-08-14T21:35:09.4164262Z + [[ cpu_inductor_amp_freezing_torchbench == *huggingface* ]] 2025-08-14T21:35:09.4164563Z + [[ cpu_inductor_amp_freezing_torchbench == *timm* ]] 2025-08-14T21:35:09.4164846Z + [[ cpu_inductor_amp_freezing_torchbench == cachebench ]] 2025-08-14T21:35:09.4165168Z + [[ cpu_inductor_amp_freezing_torchbench == verify_cachebench ]] 2025-08-14T21:35:09.4165498Z + [[ cpu_inductor_amp_freezing_torchbench == *torchbench* ]] 2025-08-14T21:35:09.4165768Z + install_torchaudio 2025-08-14T21:35:09.4165946Z + local commit 2025-08-14T21:35:09.4166140Z ++ get_pinned_commit audio 2025-08-14T21:35:09.4166358Z ++ cat .github/ci_commit_pins/audio.txt 2025-08-14T21:35:09.4190353Z + commit=bdb88e1d66f272cad72156c90ac8428ca61a601c 2025-08-14T21:35:09.4190897Z + pip_build_and_install git+https://github.com/pytorch/audio.git@bdb88e1d66f272cad72156c90ac8428ca61a601c dist/audio 2025-08-14T21:35:09.4191466Z + local build_target=git+https://github.com/pytorch/audio.git@bdb88e1d66f272cad72156c90ac8428ca61a601c 2025-08-14T21:35:09.4191842Z + local wheel_dir=dist/audio 2025-08-14T21:35:09.4192040Z + local found_whl=0 2025-08-14T21:35:09.4192236Z + for file in "${wheel_dir}"/*.whl 2025-08-14T21:35:09.4192599Z + [[ -f dist/audio/torchaudio-2.8.0a0+bdb88e1-cp39-cp39-linux_x86_64.whl ]] 2025-08-14T21:35:09.4192926Z + found_whl=1 2025-08-14T21:35:09.4193437Z + break 2025-08-14T21:35:09.4193714Z + '[' 1 == 0 ']' 2025-08-14T21:35:09.4193901Z + for file in "${wheel_dir}"/*.whl 2025-08-14T21:35:09.4194228Z + pip_install_whl dist/audio/torchaudio-2.8.0a0+bdb88e1-cp39-cp39-linux_x86_64.whl 2025-08-14T21:35:09.4194655Z + args=('dist/audio/torchaudio-2.8.0a0+bdb88e1-cp39-cp39-linux_x86_64.whl') 2025-08-14T21:35:09.4194957Z + local args 2025-08-14T21:35:09.4195228Z + [[ dist/audio/torchaudio-2.8.0a0+bdb88e1-cp39-cp39-linux_x86_64.whl == *\ * ]] 2025-08-14T21:35:09.4195560Z + for path in "${args[@]}" 2025-08-14T21:35:09.4195883Z + echo 'Installing dist/audio/torchaudio-2.8.0a0+bdb88e1-cp39-cp39-linux_x86_64.whl' 2025-08-14T21:35:09.4196315Z Installing dist/audio/torchaudio-2.8.0a0+bdb88e1-cp39-cp39-linux_x86_64.whl 2025-08-14T21:35:09.4196796Z + python3 -mpip install --no-index --no-deps dist/audio/torchaudio-2.8.0a0+bdb88e1-cp39-cp39-linux_x86_64.whl 2025-08-14T21:35:09.7332180Z Processing ./dist/audio/torchaudio-2.8.0a0+bdb88e1-cp39-cp39-linux_x86_64.whl 2025-08-14T21:35:09.7400850Z Installing collected packages: torchaudio 2025-08-14T21:35:09.9697986Z Successfully installed torchaudio-2.8.0a0+bdb88e1 2025-08-14T21:35:10.0157964Z + install_torchvision 2025-08-14T21:35:10.0158266Z + local orig_preload 2025-08-14T21:35:10.0158450Z + local commit 2025-08-14T21:35:10.0158635Z ++ get_pinned_commit vision 2025-08-14T21:35:10.0158868Z ++ cat .github/ci_commit_pins/vision.txt 2025-08-14T21:35:10.0172446Z + commit=966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-08-14T21:35:10.0173575Z + orig_preload= 2025-08-14T21:35:10.0173955Z + '[' -n '' ']' 2025-08-14T21:35:10.0174617Z + [[ linux-jammy-py3.9-gcc11-build == *cuda* ]] 2025-08-14T21:35:10.0175111Z + pip_build_and_install git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 dist/vision 2025-08-14T21:35:10.0175676Z + local build_target=git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-08-14T21:35:10.0176053Z + local wheel_dir=dist/vision 2025-08-14T21:35:10.0176295Z + local found_whl=0 2025-08-14T21:35:10.0176494Z + for file in "${wheel_dir}"/*.whl 2025-08-14T21:35:10.0176814Z + [[ -f dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl ]] 2025-08-14T21:35:10.0177123Z + found_whl=1 2025-08-14T21:35:10.0177294Z + break 2025-08-14T21:35:10.0177461Z + '[' 1 == 0 ']' 2025-08-14T21:35:10.0177644Z + for file in "${wheel_dir}"/*.whl 2025-08-14T21:35:10.0177987Z + pip_install_whl dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-08-14T21:35:10.0178434Z + args=('dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl') 2025-08-14T21:35:10.0178749Z + local args 2025-08-14T21:35:10.0179031Z + [[ dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl == *\ * ]] 2025-08-14T21:35:10.0179361Z + for path in "${args[@]}" 2025-08-14T21:35:10.0179687Z + echo 'Installing dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl' 2025-08-14T21:35:10.0180139Z Installing dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-08-14T21:35:10.0180680Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-08-14T21:35:10.3294611Z Processing ./dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-08-14T21:35:10.3375957Z Installing collected packages: torchvision 2025-08-14T21:35:10.7396773Z Successfully installed torchvision-0.22.0a0+966da7e 2025-08-14T21:35:10.7847924Z + '[' -n '' ']' 2025-08-14T21:35:10.7848187Z + id=0 2025-08-14T21:35:10.7848510Z + pip_install opencv-python==4.8.0.74 2025-08-14T21:35:10.7848822Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-08-14T21:35:10.7849177Z + python3 -m pip install --progress-bar off opencv-python==4.8.0.74 2025-08-14T21:35:11.1849153Z Collecting opencv-python==4.8.0.74 2025-08-14T21:35:11.1984544Z Downloading opencv_python-4.8.0.74-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (19 kB) 2025-08-14T21:35:11.2081798Z 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) 2025-08-14T21:35:11.2158325Z Downloading opencv_python-4.8.0.74-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (61.7 MB) 2025-08-14T21:35:12.4938420Z Installing collected packages: opencv-python 2025-08-14T21:35:12.4938967Z Attempting uninstall: opencv-python 2025-08-14T21:35:12.4950917Z Found existing installation: opencv-python 4.11.0.86 2025-08-14T21:35:12.5014363Z Uninstalling opencv-python-4.11.0.86: 2025-08-14T21:35:12.5834815Z Successfully uninstalled opencv-python-4.11.0.86 2025-08-14T21:35:13.4553920Z Successfully installed opencv-python-4.8.0.74 2025-08-14T21:35:13.5703310Z + [[ cpu_inductor_amp_freezing_torchbench == *inductor_torchbench_smoketest_perf* ]] 2025-08-14T21:35:13.5703861Z + [[ cpu_inductor_amp_freezing_torchbench == *inductor_torchbench_cpu_smoketest_perf* ]] 2025-08-14T21:35:13.5704270Z + [[ cpu_inductor_amp_freezing_torchbench == *torchbench_gcp_smoketest* ]] 2025-08-14T21:35:13.5704648Z + [[ cpu_inductor_amp_freezing_torchbench != *cpu* ]] 2025-08-14T21:35:13.5704908Z + PYTHONPATH=/torchbench 2025-08-14T21:35:13.5705131Z + test_dynamo_benchmark torchbench 0 2025-08-14T21:35:13.5705515Z ++ pwd 2025-08-14T21:35:13.5709825Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-08-14T21:35:13.5710164Z + local suite=torchbench 2025-08-14T21:35:13.5710357Z + shift 2025-08-14T21:35:13.5710506Z + local shard_id=0 2025-08-14T21:35:13.5710676Z + shift 2025-08-14T21:35:13.5710913Z + [[ cpu_inductor_amp_freezing_torchbench == *perf_compare* ]] 2025-08-14T21:35:13.5711216Z + [[ cpu_inductor_amp_freezing_torchbench == *perf* ]] 2025-08-14T21:35:13.5711502Z + [[ cpu_inductor_amp_freezing_torchbench == *cpu* ]] 2025-08-14T21:35:13.5711736Z + local dt=float32 2025-08-14T21:35:13.5711940Z + [[ cpu_inductor_amp_freezing_torchbench == *amp* ]] 2025-08-14T21:35:13.5712223Z + dt=amp 2025-08-14T21:35:13.5712433Z + [[ cpu_inductor_amp_freezing_torchbench == *freezing* ]] 2025-08-14T21:35:13.5712827Z + test_single_dynamo_benchmark inference torchbench 0 --inference --amp --freezing 2025-08-14T21:35:13.5713201Z ++ pwd 2025-08-14T21:35:13.5720326Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-08-14T21:35:13.5720860Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports 2025-08-14T21:35:13.5736014Z + local name=inference 2025-08-14T21:35:13.5736404Z + shift 2025-08-14T21:35:13.5736619Z + local suite=torchbench 2025-08-14T21:35:13.5736913Z + shift 2025-08-14T21:35:13.5737092Z + local shard_id=0 2025-08-14T21:35:13.5737396Z + shift 2025-08-14T21:35:13.5737571Z + partition_flags=() 2025-08-14T21:35:13.5738297Z + local partition_flags 2025-08-14T21:35:13.5738555Z + [[ -n 2 ]] 2025-08-14T21:35:13.5738721Z + [[ -n 0 ]] 2025-08-14T21:35:13.5739071Z + partition_flags=(--total-partitions "$NUM_TEST_SHARDS" --partition-id "$shard_id") 2025-08-14T21:35:13.5739488Z + [[ cpu_inductor_amp_freezing_torchbench == *perf_compare* ]] 2025-08-14T21:35:13.5739832Z + [[ cpu_inductor_amp_freezing_torchbench == *perf* ]] 2025-08-14T21:35:13.5740107Z + [[ cpu_inductor_amp_freezing_torchbench == *_avx2* ]] 2025-08-14T21:35:13.5740394Z + [[ cpu_inductor_amp_freezing_torchbench == *_avx512* ]] 2025-08-14T21:35:13.5741240Z + python benchmarks/dynamo/torchbench.py --ci --accuracy --timing --explain --print-compilation-time --inductor --device cpu --inference --amp --freezing --total-partitions 2 --partition-id 0 --output /var/lib/jenkins/workspace/test/test-reports/inference_torchbench.csv 2025-08-14T21:35:18.9140572Z 2025-08-14T21:35:20.5286877Z loading model: 0it [00:00, ?it/s] 2025-08-14T21:35:20.5287257Z loading model: 0it [00:01, ?it/s] 2025-08-14T21:35:20.5287524Z cpu eval BERT_pytorch 2025-08-14T21:35:21.0109793Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T21:35:21.1825087Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T21:35:21.3220299Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T21:35:33.7681606Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:33.7682332Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:35:33.7683587Z return mod(*inputs) 2025-08-14T21:35:33.7684290Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:35:33.7684860Z x = self.bert(x, segment_label) 2025-08-14T21:35:33.7685301Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 44, in forward 2025-08-14T21:35:33.7685879Z mask = (x > 0).unsqueeze(1).repeat(1, x.size(1), 1).unsqueeze(1) 2025-08-14T21:35:33.7686333Z 2025-08-14T21:35:33.7686801Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:33.7687328Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:35:33.7687790Z return mod(*inputs) 2025-08-14T21:35:33.7688185Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:35:33.7688606Z x = self.bert(x, segment_label) 2025-08-14T21:35:33.7688977Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 47, in forward 2025-08-14T21:35:33.7689361Z x = self.embedding(x, segment_info) 2025-08-14T21:35:33.7689773Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/embedding/bert.py", line 32, in forward 2025-08-14T21:35:33.7690270Z x = self.token(sequence) + self.position(sequence) + self.segment(segment_label) 2025-08-14T21:35:33.7690520Z 2025-08-14T21:35:33.7690620Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.7690868Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.7691104Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.7691329Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.7691558Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.7691822Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:33.7692237Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:35:33.7692600Z return mod(*inputs) 2025-08-14T21:35:33.7692994Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:35:33.7693409Z x = self.bert(x, segment_label) 2025-08-14T21:35:33.7693775Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:35:33.7694606Z x = transformer.forward(x, mask) 2025-08-14T21:35:33.7695012Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:35:33.7695441Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:35:33.7695890Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:35:33.7696329Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:35:33.7696754Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:35:33.7697180Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:35:33.7697635Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:35:33.7698123Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:35:33.7698593Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-08-14T21:35:33.7699118Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-08-14T21:35:33.7699360Z 2025-08-14T21:35:33.7699479Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:33.7700429Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:35:33.7700937Z return mod(*inputs) 2025-08-14T21:35:33.7701302Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:35:33.7701698Z x = self.bert(x, segment_label) 2025-08-14T21:35:33.7702102Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:35:33.7702493Z x = transformer.forward(x, mask) 2025-08-14T21:35:33.7702877Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:35:33.7703300Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:35:33.7703717Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:35:33.7704151Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:35:33.7704589Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:35:33.7705024Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:35:33.7705480Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:35:33.7705951Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:35:33.7706422Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-08-14T21:35:33.7706918Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-08-14T21:35:33.7707148Z 2025-08-14T21:35:33.7707273Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:33.7707665Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:35:33.7708034Z return mod(*inputs) 2025-08-14T21:35:33.7708399Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:35:33.7708788Z x = self.bert(x, segment_label) 2025-08-14T21:35:33.7709155Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:35:33.7709535Z x = transformer.forward(x, mask) 2025-08-14T21:35:33.7709932Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:35:33.7710341Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:35:33.7710752Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:35:33.7711187Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:35:33.7711610Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:35:33.7712042Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:35:33.7712492Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:35:33.7712965Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:35:33.7713423Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-08-14T21:35:33.7713920Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-08-14T21:35:33.7714155Z 2025-08-14T21:35:33.7714245Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.7714480Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.7714738Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:33.7715133Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:35:33.7715492Z return mod(*inputs) 2025-08-14T21:35:33.7715936Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:35:33.7716337Z x = self.bert(x, segment_label) 2025-08-14T21:35:33.7716706Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:35:33.7717081Z x = transformer.forward(x, mask) 2025-08-14T21:35:33.7717460Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:35:33.7717881Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:35:33.7718279Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:35:33.7718693Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:35:33.7719107Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:35:33.7719553Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:35:33.7720017Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:35:33.7720471Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:35:33.7720926Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-08-14T21:35:33.7721350Z return torch.matmul(p_attn, value), p_attn 2025-08-14T21:35:33.7721509Z 2025-08-14T21:35:33.7721630Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:33.7722004Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:35:33.7722353Z return mod(*inputs) 2025-08-14T21:35:33.7722717Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:35:33.7723114Z x = self.bert(x, segment_label) 2025-08-14T21:35:33.7723474Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:35:33.7723838Z x = transformer.forward(x, mask) 2025-08-14T21:35:33.7724214Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:35:33.7724616Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:35:33.7725044Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:35:33.7725469Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:35:33.7725883Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:35:33.7726312Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:35:33.7726766Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:35:33.7727244Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:35:33.7727695Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-08-14T21:35:33.7728118Z return torch.matmul(p_attn, value), p_attn 2025-08-14T21:35:33.7728279Z 2025-08-14T21:35:33.7728396Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:33.7728786Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:35:33.7729133Z return mod(*inputs) 2025-08-14T21:35:33.7729500Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:35:33.7730111Z x = self.bert(x, segment_label) 2025-08-14T21:35:33.7730474Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:35:33.7730854Z x = transformer.forward(x, mask) 2025-08-14T21:35:33.7731400Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:35:33.7731816Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:35:33.7732222Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:35:33.7732661Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:35:33.7733083Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:35:33.7733521Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:35:33.7733967Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-08-14T21:35:33.7734549Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-08-14T21:35:33.7734767Z 2025-08-14T21:35:33.7734869Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.7735101Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.7735338Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.7735569Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.7735790Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.7736020Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.7736247Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.7736476Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.7736692Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.7736915Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.7737171Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:33.7737555Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:35:33.7737913Z return mod(*inputs) 2025-08-14T21:35:33.7738279Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:35:33.7738683Z x = self.bert(x, segment_label) 2025-08-14T21:35:33.7739043Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:35:33.7739428Z x = transformer.forward(x, mask) 2025-08-14T21:35:33.7739812Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:35:33.7740217Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:35:33.7740632Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:35:33.7741076Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:35:33.7741511Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:35:33.7741953Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:35:33.7742420Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:35:33.7742905Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:35:33.7743369Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-08-14T21:35:33.7743874Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-08-14T21:35:33.7744106Z 2025-08-14T21:35:33.7744221Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:33.7744609Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:35:33.7744969Z return mod(*inputs) 2025-08-14T21:35:33.7745340Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:35:33.7745738Z x = self.bert(x, segment_label) 2025-08-14T21:35:33.7746193Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:35:33.7746616Z x = transformer.forward(x, mask) 2025-08-14T21:35:33.7747006Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:35:33.7747417Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:35:33.7747824Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:35:33.7748261Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:35:33.7748685Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:35:33.7749130Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:35:33.7749611Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:35:33.7750080Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:35:33.7750547Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-08-14T21:35:33.7751091Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-08-14T21:35:33.7751311Z 2025-08-14T21:35:33.7751423Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:33.7751811Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:35:33.7752160Z return mod(*inputs) 2025-08-14T21:35:33.7752510Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:35:33.7752898Z x = self.bert(x, segment_label) 2025-08-14T21:35:33.7753253Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:35:33.7753638Z x = transformer.forward(x, mask) 2025-08-14T21:35:33.7754018Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:35:33.7754427Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:35:33.7754842Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:35:33.7755274Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:35:33.7755698Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:35:33.7756152Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:35:33.7756588Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:35:33.7757053Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:35:33.7757502Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-08-14T21:35:33.7757987Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-08-14T21:35:33.7758206Z 2025-08-14T21:35:33.7758300Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.7758519Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.7758774Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:33.7759157Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:35:33.7759490Z return mod(*inputs) 2025-08-14T21:35:33.7759845Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:35:33.7760232Z x = self.bert(x, segment_label) 2025-08-14T21:35:33.7760587Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:35:33.7760957Z x = transformer.forward(x, mask) 2025-08-14T21:35:33.7761388Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:35:33.7761816Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:35:33.7762213Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:35:33.7762636Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:35:33.7763048Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:35:33.7763467Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:35:33.7763898Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:35:33.7764361Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:35:33.7764808Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-08-14T21:35:33.7765217Z return torch.matmul(p_attn, value), p_attn 2025-08-14T21:35:33.7765377Z 2025-08-14T21:35:33.7765489Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:33.7765886Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:35:33.7766239Z return mod(*inputs) 2025-08-14T21:35:33.7766599Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:35:33.7767004Z x = self.bert(x, segment_label) 2025-08-14T21:35:33.7767379Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:35:33.7767754Z x = transformer.forward(x, mask) 2025-08-14T21:35:33.7768136Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:35:33.7768546Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:35:33.7768966Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:35:33.7769401Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:35:33.7769827Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:35:33.7770257Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:35:33.7770712Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:35:33.7771183Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:35:33.7771645Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-08-14T21:35:33.7772067Z return torch.matmul(p_attn, value), p_attn 2025-08-14T21:35:33.7772234Z 2025-08-14T21:35:33.7772355Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:33.7772750Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:35:33.7773105Z return mod(*inputs) 2025-08-14T21:35:33.7773472Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:35:33.7773865Z x = self.bert(x, segment_label) 2025-08-14T21:35:33.7774337Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:35:33.7774741Z x = transformer.forward(x, mask) 2025-08-14T21:35:33.7775128Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:35:33.7775532Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:35:33.7775951Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:35:33.7776388Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:35:33.7776884Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:35:33.7777315Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:35:33.7777772Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-08-14T21:35:33.7778269Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-08-14T21:35:33.7778476Z 2025-08-14T21:35:33.7778564Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.7778795Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.7779026Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.7779241Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.7779463Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.7779684Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.7779937Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:33.7780331Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:35:33.7780694Z return mod(*inputs) 2025-08-14T21:35:33.7781061Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:35:33.7781452Z x = self.bert(x, segment_label) 2025-08-14T21:35:33.7781818Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:35:33.7782195Z x = transformer.forward(x, mask) 2025-08-14T21:35:33.7782572Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-08-14T21:35:33.7782987Z x = self.output_sublayer(x, self.feed_forward) 2025-08-14T21:35:33.7783403Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:35:33.7783840Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:35:33.7784022Z 2025-08-14T21:35:33.7784107Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.7784335Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.7784556Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.7784765Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.7785016Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:33.7785393Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:35:33.7785750Z return mod(*inputs) 2025-08-14T21:35:33.7786097Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:35:33.7786480Z x = self.bert(x, segment_label) 2025-08-14T21:35:33.7786830Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:35:33.7787194Z x = transformer.forward(x, mask) 2025-08-14T21:35:33.7787572Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:35:33.7787979Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:35:33.7788376Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:35:33.7788792Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:35:33.7789204Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:35:33.7789676Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:35:33.7790135Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:35:33.7790605Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:35:33.7791075Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-08-14T21:35:33.7792390Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-08-14T21:35:33.7792621Z 2025-08-14T21:35:33.7792734Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:33.7793124Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:35:33.7793472Z return mod(*inputs) 2025-08-14T21:35:33.7793827Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:35:33.7794208Z x = self.bert(x, segment_label) 2025-08-14T21:35:33.7794562Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:35:33.7794949Z x = transformer.forward(x, mask) 2025-08-14T21:35:33.7795330Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:35:33.7795742Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:35:33.7796162Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:35:33.7796592Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:35:33.7797002Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:35:33.7797432Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:35:33.7797877Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:35:33.7798351Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:35:33.7798792Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-08-14T21:35:33.7799277Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-08-14T21:35:33.7799500Z 2025-08-14T21:35:33.7799628Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:33.7800021Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:35:33.7800365Z return mod(*inputs) 2025-08-14T21:35:33.7800731Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:35:33.7801122Z x = self.bert(x, segment_label) 2025-08-14T21:35:33.7801476Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:35:33.7801866Z x = transformer.forward(x, mask) 2025-08-14T21:35:33.7802260Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:35:33.7802670Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:35:33.7803083Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:35:33.7803533Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:35:33.7803959Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:35:33.7804388Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:35:33.7804841Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:35:33.7805319Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:35:33.7805781Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-08-14T21:35:33.7806261Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-08-14T21:35:33.7806491Z 2025-08-14T21:35:33.7806579Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.7806812Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.7807106Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:33.7807552Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:35:33.7807903Z return mod(*inputs) 2025-08-14T21:35:33.7808267Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:35:33.7808656Z x = self.bert(x, segment_label) 2025-08-14T21:35:33.7809019Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:35:33.7809390Z x = transformer.forward(x, mask) 2025-08-14T21:35:33.7809768Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:35:33.7810177Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:35:33.7810586Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:35:33.7811023Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:35:33.7811437Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:35:33.7811879Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:35:33.7812329Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:35:33.7812817Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:35:33.7813468Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-08-14T21:35:33.7813905Z return torch.matmul(p_attn, value), p_attn 2025-08-14T21:35:33.7814113Z 2025-08-14T21:35:33.7814248Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:33.7814641Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:35:33.7814995Z return mod(*inputs) 2025-08-14T21:35:33.7815369Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:35:33.7815767Z x = self.bert(x, segment_label) 2025-08-14T21:35:33.7816120Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:35:33.7816496Z x = transformer.forward(x, mask) 2025-08-14T21:35:33.7816900Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:35:33.7817308Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:35:33.7817724Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:35:33.7818167Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:35:33.7818602Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:35:33.7819026Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:35:33.7819471Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:35:33.7819939Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:35:33.7820387Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-08-14T21:35:33.7820801Z return torch.matmul(p_attn, value), p_attn 2025-08-14T21:35:33.7820958Z 2025-08-14T21:35:33.7821070Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:33.7821450Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:35:33.7821787Z return mod(*inputs) 2025-08-14T21:35:33.7822148Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:35:33.7822535Z x = self.bert(x, segment_label) 2025-08-14T21:35:33.7822972Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:35:33.7823332Z x = transformer.forward(x, mask) 2025-08-14T21:35:33.7823719Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:35:33.7824130Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:35:33.7824532Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:35:33.7824967Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:35:33.7825385Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:35:33.7825811Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:35:33.7826252Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-08-14T21:35:33.7826737Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-08-14T21:35:33.7826950Z 2025-08-14T21:35:33.7827042Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.7827281Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.7827507Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.7827732Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.7827956Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.7828173Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.7828401Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.7828635Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.7828856Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.7829085Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.7829347Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:33.7829942Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:35:33.7830323Z return mod(*inputs) 2025-08-14T21:35:33.7830699Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:35:33.7831098Z x = self.bert(x, segment_label) 2025-08-14T21:35:33.7831461Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:35:33.7831838Z x = transformer.forward(x, mask) 2025-08-14T21:35:33.7832234Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:35:33.7832644Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:35:33.7833050Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:35:33.7833487Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:35:33.7833919Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:35:33.7834334Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:35:33.7834775Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:35:33.7835255Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:35:33.7835716Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-08-14T21:35:33.7836200Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-08-14T21:35:33.7836435Z 2025-08-14T21:35:33.7836549Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:33.7836938Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:35:33.7837290Z return mod(*inputs) 2025-08-14T21:35:33.7837748Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:35:33.7838212Z x = self.bert(x, segment_label) 2025-08-14T21:35:33.7838586Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:35:33.7838961Z x = transformer.forward(x, mask) 2025-08-14T21:35:33.7839352Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:35:33.7839766Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:35:33.7840186Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:35:33.7840619Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:35:33.7841045Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:35:33.7841490Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:35:33.7841948Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:35:33.7842429Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:35:33.7842899Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-08-14T21:35:33.7843407Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-08-14T21:35:33.7843635Z 2025-08-14T21:35:33.7843753Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:33.7844151Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:35:33.7844515Z return mod(*inputs) 2025-08-14T21:35:33.7844886Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:35:33.7845285Z x = self.bert(x, segment_label) 2025-08-14T21:35:33.7845674Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:35:33.7846063Z x = transformer.forward(x, mask) 2025-08-14T21:35:33.7846448Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:35:33.7846868Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:35:33.7847278Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:35:33.7847720Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:35:33.7848141Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:35:33.7848569Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:35:33.7849033Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:35:33.7849518Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:35:33.7849988Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-08-14T21:35:33.7850490Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-08-14T21:35:33.7850713Z 2025-08-14T21:35:33.7850809Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.7851038Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.7851299Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:33.7851690Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:35:33.7852057Z return mod(*inputs) 2025-08-14T21:35:33.7852416Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:35:33.7852810Z x = self.bert(x, segment_label) 2025-08-14T21:35:33.7853223Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:35:33.7853621Z x = transformer.forward(x, mask) 2025-08-14T21:35:33.7854007Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:35:33.7854494Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:35:33.7854925Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:35:33.7855365Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:35:33.7855791Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:35:33.7856231Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:35:33.7856680Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:35:33.7857177Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:35:33.7857643Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-08-14T21:35:33.7858079Z return torch.matmul(p_attn, value), p_attn 2025-08-14T21:35:33.7858231Z 2025-08-14T21:35:33.7858342Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:33.7858730Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:35:33.7859078Z return mod(*inputs) 2025-08-14T21:35:33.7859435Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:35:33.7859817Z x = self.bert(x, segment_label) 2025-08-14T21:35:33.7860179Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:35:33.7860546Z x = transformer.forward(x, mask) 2025-08-14T21:35:33.7860897Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:35:33.7861277Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:35:33.7861658Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:35:33.7862060Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:35:33.7862449Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:35:33.7862849Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:35:33.7863290Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:35:33.7863756Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:35:33.7864209Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-08-14T21:35:33.7864628Z return torch.matmul(p_attn, value), p_attn 2025-08-14T21:35:33.7864780Z 2025-08-14T21:35:33.7864899Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:33.7865273Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:35:33.7865618Z return mod(*inputs) 2025-08-14T21:35:33.7865981Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:35:33.7866381Z x = self.bert(x, segment_label) 2025-08-14T21:35:33.7866737Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:35:33.7867118Z x = transformer.forward(x, mask) 2025-08-14T21:35:33.7867513Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:35:33.7867926Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:35:33.7868379Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:35:33.7868853Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:35:33.7869247Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:35:33.7869654Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:35:33.7870092Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-08-14T21:35:33.7870542Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-08-14T21:35:33.7870733Z 2025-08-14T21:35:33.7870813Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.7871029Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.7871238Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.7871445Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.7871642Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.7871855Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.7872093Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:33.7872441Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:35:33.7872767Z return mod(*inputs) 2025-08-14T21:35:33.7873101Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:35:33.7873462Z x = self.bert(x, segment_label) 2025-08-14T21:35:33.7873789Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:35:33.7874144Z x = transformer.forward(x, mask) 2025-08-14T21:35:33.7874521Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-08-14T21:35:33.7874910Z x = self.output_sublayer(x, self.feed_forward) 2025-08-14T21:35:33.7875317Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:35:33.7875751Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:35:33.7875925Z 2025-08-14T21:35:33.7876014Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.7876230Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.7876449Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.7876664Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.7876903Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:33.7877290Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:35:33.7877635Z return mod(*inputs) 2025-08-14T21:35:33.7877985Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:35:33.7878370Z x = self.bert(x, segment_label) 2025-08-14T21:35:33.7878742Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:35:33.7879116Z x = transformer.forward(x, mask) 2025-08-14T21:35:33.7879498Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:35:33.7879919Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:35:33.7880325Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:35:33.7880742Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:35:33.7881152Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:35:33.7881575Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:35:33.7882013Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:35:33.7882562Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:35:33.7883057Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-08-14T21:35:33.7883545Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-08-14T21:35:33.7883763Z 2025-08-14T21:35:33.7883883Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:33.7884266Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:35:33.7884610Z return mod(*inputs) 2025-08-14T21:35:33.7884964Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:35:33.7885338Z x = self.bert(x, segment_label) 2025-08-14T21:35:33.7885690Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:35:33.7886069Z x = transformer.forward(x, mask) 2025-08-14T21:35:33.7886445Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:35:33.7886839Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:35:33.7887241Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:35:33.7887663Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:35:33.7888076Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:35:33.7888493Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:35:33.7888948Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:35:33.7889434Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:35:33.7889905Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-08-14T21:35:33.7890407Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-08-14T21:35:33.7890641Z 2025-08-14T21:35:33.7890753Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:33.7891145Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:35:33.7891494Z return mod(*inputs) 2025-08-14T21:35:33.7891856Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:35:33.7892254Z x = self.bert(x, segment_label) 2025-08-14T21:35:33.7892615Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:35:33.7892997Z x = transformer.forward(x, mask) 2025-08-14T21:35:33.7893380Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:35:33.7893811Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:35:33.7894303Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:35:33.7894767Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:35:33.7895201Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:35:33.7895642Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:35:33.7896093Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:35:33.7896577Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:35:33.7897047Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-08-14T21:35:33.7897538Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-08-14T21:35:33.7897827Z 2025-08-14T21:35:33.7897949Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.7898189Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.7898446Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:33.7898829Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:35:33.7899183Z return mod(*inputs) 2025-08-14T21:35:33.7899548Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:35:33.7899946Z x = self.bert(x, segment_label) 2025-08-14T21:35:33.7900308Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:35:33.7900691Z x = transformer.forward(x, mask) 2025-08-14T21:35:33.7901078Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:35:33.7901489Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:35:33.7901909Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:35:33.7902344Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:35:33.7902764Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:35:33.7903194Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:35:33.7903646Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:35:33.7904126Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:35:33.7904576Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-08-14T21:35:33.7905001Z return torch.matmul(p_attn, value), p_attn 2025-08-14T21:35:33.7905165Z 2025-08-14T21:35:33.7905283Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:33.7905682Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:35:33.7906027Z return mod(*inputs) 2025-08-14T21:35:33.7906392Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:35:33.7906783Z x = self.bert(x, segment_label) 2025-08-14T21:35:33.7907137Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:35:33.7907508Z x = transformer.forward(x, mask) 2025-08-14T21:35:33.7907890Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:35:33.7908297Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:35:33.7908699Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:35:33.7909135Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:35:33.7909565Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:35:33.7910001Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:35:33.7910432Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:35:33.7910894Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:35:33.7911340Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-08-14T21:35:33.7911740Z return torch.matmul(p_attn, value), p_attn 2025-08-14T21:35:33.7911900Z 2025-08-14T21:35:33.7912010Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:33.7912391Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:35:33.7912731Z return mod(*inputs) 2025-08-14T21:35:33.7913161Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:35:33.7913548Z x = self.bert(x, segment_label) 2025-08-14T21:35:33.7913915Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:35:33.7914285Z x = transformer.forward(x, mask) 2025-08-14T21:35:33.7914674Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:35:33.7915086Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:35:33.7915501Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:35:33.7915933Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:35:33.7916348Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:35:33.7916777Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:35:33.7917218Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-08-14T21:35:33.7917693Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-08-14T21:35:33.7917906Z 2025-08-14T21:35:33.7917991Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.7918221Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.7918444Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.7918663Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.7918879Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.7919090Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.7919522Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.7919741Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.7919959Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.7920168Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.7920432Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:33.7920832Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:35:33.7921198Z return mod(*inputs) 2025-08-14T21:35:33.7921556Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:35:33.7921954Z x = self.bert(x, segment_label) 2025-08-14T21:35:33.7922308Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:35:33.7922683Z x = transformer.forward(x, mask) 2025-08-14T21:35:33.7923060Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:35:33.7923467Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:35:33.7923856Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:35:33.7924279Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:35:33.7924693Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:35:33.7925115Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:35:33.7925558Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:35:33.7926040Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:35:33.7926506Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-08-14T21:35:33.7927007Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-08-14T21:35:33.7927231Z 2025-08-14T21:35:33.7927344Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:33.7927803Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:35:33.7928261Z return mod(*inputs) 2025-08-14T21:35:33.7928622Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:35:33.7929025Z x = self.bert(x, segment_label) 2025-08-14T21:35:33.7929391Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:35:33.7930027Z x = transformer.forward(x, mask) 2025-08-14T21:35:33.7930431Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:35:33.7930842Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:35:33.7931259Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:35:33.7931694Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:35:33.7932135Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:35:33.7932574Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:35:33.7933036Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:35:33.7933505Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:35:33.7933968Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-08-14T21:35:33.7934543Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-08-14T21:35:33.7934772Z 2025-08-14T21:35:33.7934897Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:33.7935287Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:35:33.7935640Z return mod(*inputs) 2025-08-14T21:35:33.7936009Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:35:33.7936402Z x = self.bert(x, segment_label) 2025-08-14T21:35:33.7936779Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:35:33.7937164Z x = transformer.forward(x, mask) 2025-08-14T21:35:33.7937552Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:35:33.7937959Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:35:33.7938377Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:35:33.7938825Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:35:33.7939239Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:35:33.7939679Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:35:33.7940140Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:35:33.7940617Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:35:33.7941068Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-08-14T21:35:33.7941562Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-08-14T21:35:33.7941792Z 2025-08-14T21:35:33.7941879Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.7942111Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.7942359Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:33.7942749Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:35:33.7943097Z return mod(*inputs) 2025-08-14T21:35:33.7943551Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:35:33.7943999Z x = self.bert(x, segment_label) 2025-08-14T21:35:33.7944366Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:35:33.7944756Z x = transformer.forward(x, mask) 2025-08-14T21:35:33.7945143Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:35:33.7945567Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:35:33.7945986Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:35:33.7946423Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:35:33.7946846Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:35:33.7947288Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:35:33.7947753Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:35:33.7948230Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:35:33.7948703Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-08-14T21:35:33.7949137Z return torch.matmul(p_attn, value), p_attn 2025-08-14T21:35:33.7949294Z 2025-08-14T21:35:33.7949418Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:33.7949810Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:35:33.7950174Z return mod(*inputs) 2025-08-14T21:35:33.7950548Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:35:33.7950943Z x = self.bert(x, segment_label) 2025-08-14T21:35:33.7951314Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:35:33.7951698Z x = transformer.forward(x, mask) 2025-08-14T21:35:33.7952092Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:35:33.7952500Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:35:33.7952923Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:35:33.7953366Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:35:33.7953791Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:35:33.7954237Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:35:33.7954702Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:35:33.7955188Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:35:33.7955652Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-08-14T21:35:33.7956080Z return torch.matmul(p_attn, value), p_attn 2025-08-14T21:35:33.7956239Z 2025-08-14T21:35:33.7956365Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:33.7956764Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:35:33.7957117Z return mod(*inputs) 2025-08-14T21:35:33.7957482Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:35:33.7957885Z x = self.bert(x, segment_label) 2025-08-14T21:35:33.7958247Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:35:33.7958630Z x = transformer.forward(x, mask) 2025-08-14T21:35:33.7959067Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:35:33.7959515Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:35:33.7959917Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:35:33.7960361Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:35:33.7960783Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:35:33.7961208Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:35:33.7961657Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-08-14T21:35:33.7962142Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-08-14T21:35:33.7962349Z 2025-08-14T21:35:33.7962442Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.7962665Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.7962897Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.7963118Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.7963329Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.7963549Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.7963803Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:33.7964192Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:35:33.7964532Z return mod(*inputs) 2025-08-14T21:35:33.7964898Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:35:33.7965302Z x = self.bert(x, segment_label) 2025-08-14T21:35:33.7965656Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:35:33.7966046Z x = transformer.forward(x, mask) 2025-08-14T21:35:33.7966440Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-08-14T21:35:33.7966850Z x = self.output_sublayer(x, self.feed_forward) 2025-08-14T21:35:33.7967258Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:35:33.7967693Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:35:33.7967869Z 2025-08-14T21:35:33.7967962Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.7968182Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.7968410Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.7968637Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.7968891Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:33.7969275Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:35:33.7969634Z return mod(*inputs) 2025-08-14T21:35:33.7970004Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:35:33.7970400Z x = self.bert(x, segment_label) 2025-08-14T21:35:33.7970776Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:35:33.7971157Z x = transformer.forward(x, mask) 2025-08-14T21:35:33.7971539Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:35:33.7971946Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:35:33.7972361Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:35:33.7972804Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:35:33.7973216Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:35:33.7973663Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:35:33.7974299Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:35:33.7974793Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:35:33.7975256Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-08-14T21:35:33.7975748Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-08-14T21:35:33.7975970Z 2025-08-14T21:35:33.7976095Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:33.7976487Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:35:33.7976847Z return mod(*inputs) 2025-08-14T21:35:33.7977215Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:35:33.7977618Z x = self.bert(x, segment_label) 2025-08-14T21:35:33.7977982Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:35:33.7978356Z x = transformer.forward(x, mask) 2025-08-14T21:35:33.7978743Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:35:33.7979157Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:35:33.7979559Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:35:33.7979997Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:35:33.7980415Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:35:33.7980845Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:35:33.7981298Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:35:33.7981775Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:35:33.7982230Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-08-14T21:35:33.7982717Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-08-14T21:35:33.7982949Z 2025-08-14T21:35:33.7983065Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:33.7983458Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:35:33.7983813Z return mod(*inputs) 2025-08-14T21:35:33.7984170Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:35:33.7984569Z x = self.bert(x, segment_label) 2025-08-14T21:35:33.7984929Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:35:33.7985306Z x = transformer.forward(x, mask) 2025-08-14T21:35:33.7985700Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:35:33.7986105Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:35:33.7986514Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:35:33.7986954Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:35:33.7987375Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:35:33.7987814Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:35:33.7988258Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:35:33.7988738Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:35:33.7989269Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-08-14T21:35:33.7989788Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-08-14T21:35:33.7990008Z 2025-08-14T21:35:33.7990097Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.7990334Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.7990593Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:33.7990986Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:35:33.7991326Z return mod(*inputs) 2025-08-14T21:35:33.7991694Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:35:33.7992090Z x = self.bert(x, segment_label) 2025-08-14T21:35:33.7992446Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:35:33.7992819Z x = transformer.forward(x, mask) 2025-08-14T21:35:33.7993210Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:35:33.7993615Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:35:33.7994015Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:35:33.7994448Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:35:33.7994870Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:35:33.7995289Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:35:33.7995740Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:35:33.7996214Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:35:33.7996679Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-08-14T21:35:33.7997096Z return torch.matmul(p_attn, value), p_attn 2025-08-14T21:35:33.7997259Z 2025-08-14T21:35:33.7997372Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:33.7997759Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:35:33.7998114Z return mod(*inputs) 2025-08-14T21:35:33.7998469Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:35:33.7998859Z x = self.bert(x, segment_label) 2025-08-14T21:35:33.7999218Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:35:33.7999582Z x = transformer.forward(x, mask) 2025-08-14T21:35:33.7999966Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:35:33.8000370Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:35:33.8000786Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:35:33.8001208Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:35:33.8001629Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:35:33.8002057Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:35:33.8002499Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:35:33.8002976Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:35:33.8003428Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-08-14T21:35:33.8003849Z return torch.matmul(p_attn, value), p_attn 2025-08-14T21:35:33.8004003Z 2025-08-14T21:35:33.8004159Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:33.8004586Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:35:33.8004943Z return mod(*inputs) 2025-08-14T21:35:33.8005301Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:35:33.8005703Z x = self.bert(x, segment_label) 2025-08-14T21:35:33.8006065Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:35:33.8006449Z x = transformer.forward(x, mask) 2025-08-14T21:35:33.8006821Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:35:33.8007229Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:35:33.8007642Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:35:33.8008099Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:35:33.8008519Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:35:33.8008949Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:35:33.8009407Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-08-14T21:35:33.8009883Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-08-14T21:35:33.8010103Z 2025-08-14T21:35:33.8010191Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.8010425Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.8010650Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.8010865Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.8011086Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.8011306Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.8011524Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.8011750Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.8011974Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.8012188Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.8012443Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:33.8012832Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:35:33.8013199Z return mod(*inputs) 2025-08-14T21:35:33.8013557Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:35:33.8013949Z x = self.bert(x, segment_label) 2025-08-14T21:35:33.8014411Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:35:33.8014789Z x = transformer.forward(x, mask) 2025-08-14T21:35:33.8015176Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:35:33.8015598Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:35:33.8016026Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:35:33.8016469Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:35:33.8016904Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:35:33.8017347Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:35:33.8017810Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:35:33.8018314Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:35:33.8018778Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-08-14T21:35:33.8019285Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-08-14T21:35:33.8019585Z 2025-08-14T21:35:33.8019700Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:33.8020089Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:35:33.8020444Z return mod(*inputs) 2025-08-14T21:35:33.8020807Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:35:33.8021195Z x = self.bert(x, segment_label) 2025-08-14T21:35:33.8021558Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:35:33.8021943Z x = transformer.forward(x, mask) 2025-08-14T21:35:33.8022318Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:35:33.8022733Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:35:33.8023147Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:35:33.8023588Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:35:33.8024003Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:35:33.8024435Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:35:33.8024885Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:35:33.8025368Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:35:33.8025822Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-08-14T21:35:33.8026313Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-08-14T21:35:33.8026538Z 2025-08-14T21:35:33.8026660Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:33.8027054Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:35:33.8027414Z return mod(*inputs) 2025-08-14T21:35:33.8027776Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:35:33.8028177Z x = self.bert(x, segment_label) 2025-08-14T21:35:33.8028529Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:35:33.8028899Z x = transformer.forward(x, mask) 2025-08-14T21:35:33.8029287Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:35:33.8029691Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:35:33.8030364Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:35:33.8030810Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:35:33.8031244Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:35:33.8031667Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:35:33.8032118Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:35:33.8032596Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:35:33.8033063Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-08-14T21:35:33.8033543Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-08-14T21:35:33.8033772Z 2025-08-14T21:35:33.8033862Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.8034100Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.8034355Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:33.8034841Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:35:33.8035269Z return mod(*inputs) 2025-08-14T21:35:33.8035639Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:35:33.8036030Z x = self.bert(x, segment_label) 2025-08-14T21:35:33.8036392Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:35:33.8036769Z x = transformer.forward(x, mask) 2025-08-14T21:35:33.8037153Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:35:33.8037567Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:35:33.8037985Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:35:33.8038426Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:35:33.8038848Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:35:33.8039285Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:35:33.8039733Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:35:33.8040211Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:35:33.8040663Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-08-14T21:35:33.8041093Z return torch.matmul(p_attn, value), p_attn 2025-08-14T21:35:33.8041248Z 2025-08-14T21:35:33.8041369Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:33.8041756Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:35:33.8042111Z return mod(*inputs) 2025-08-14T21:35:33.8042480Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:35:33.8042878Z x = self.bert(x, segment_label) 2025-08-14T21:35:33.8043236Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:35:33.8043616Z x = transformer.forward(x, mask) 2025-08-14T21:35:33.8044001Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:35:33.8044404Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:35:33.8044818Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:35:33.8045259Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:35:33.8045681Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:35:33.8046101Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:35:33.8046556Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:35:33.8047028Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:35:33.8047484Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-08-14T21:35:33.8047906Z return torch.matmul(p_attn, value), p_attn 2025-08-14T21:35:33.8048068Z 2025-08-14T21:35:33.8048181Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:33.8048573Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:35:33.8048917Z return mod(*inputs) 2025-08-14T21:35:33.8049282Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:35:33.8049680Z x = self.bert(x, segment_label) 2025-08-14T21:35:33.8050083Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:35:33.8050483Z x = transformer.forward(x, mask) 2025-08-14T21:35:33.8050870Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:35:33.8051278Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:35:33.8051674Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:35:33.8052110Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:35:33.8052532Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:35:33.8052958Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:35:33.8053396Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-08-14T21:35:33.8053875Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-08-14T21:35:33.8054225Z 2025-08-14T21:35:33.8054331Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.8054569Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.8054789Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.8055016Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.8055239Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.8055457Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.8055712Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:33.8056106Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:35:33.8056452Z return mod(*inputs) 2025-08-14T21:35:33.8056822Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:35:33.8057224Z x = self.bert(x, segment_label) 2025-08-14T21:35:33.8057585Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:35:33.8057956Z x = transformer.forward(x, mask) 2025-08-14T21:35:33.8058342Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-08-14T21:35:33.8058749Z x = self.output_sublayer(x, self.feed_forward) 2025-08-14T21:35:33.8059154Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:35:33.8059591Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:35:33.8059778Z 2025-08-14T21:35:33.8059861Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.8060090Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.8060306Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.8060530Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.8060786Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:33.8061178Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:35:33.8061533Z return mod(*inputs) 2025-08-14T21:35:33.8061902Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:35:33.8062294Z x = self.bert(x, segment_label) 2025-08-14T21:35:33.8062646Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:35:33.8063025Z x = transformer.forward(x, mask) 2025-08-14T21:35:33.8063401Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:35:33.8063825Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:35:33.8064237Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:35:33.8064682Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:35:33.8065153Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:35:33.8065611Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:35:33.8066045Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:35:33.8066514Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:35:33.8066954Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-08-14T21:35:33.8067437Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-08-14T21:35:33.8067658Z 2025-08-14T21:35:33.8067767Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:33.8068149Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:35:33.8068486Z return mod(*inputs) 2025-08-14T21:35:33.8068845Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:35:33.8069231Z x = self.bert(x, segment_label) 2025-08-14T21:35:33.8069586Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:35:33.8069936Z x = transformer.forward(x, mask) 2025-08-14T21:35:33.8070312Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:35:33.8070712Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:35:33.8071106Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:35:33.8071524Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:35:33.8071940Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:35:33.8072392Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:35:33.8072831Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:35:33.8073288Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:35:33.8073735Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-08-14T21:35:33.8074224Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-08-14T21:35:33.8074448Z 2025-08-14T21:35:33.8074562Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:33.8074949Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:35:33.8075314Z return mod(*inputs) 2025-08-14T21:35:33.8075678Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:35:33.8076079Z x = self.bert(x, segment_label) 2025-08-14T21:35:33.8076455Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:35:33.8076833Z x = transformer.forward(x, mask) 2025-08-14T21:35:33.8077216Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:35:33.8077626Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:35:33.8078036Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:35:33.8078469Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:35:33.8078892Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:35:33.8079329Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:35:33.8079782Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:35:33.8080322Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:35:33.8080785Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-08-14T21:35:33.8081285Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-08-14T21:35:33.8081508Z 2025-08-14T21:35:33.8081603Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.8081830Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.8082092Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:33.8082480Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:35:33.8082822Z return mod(*inputs) 2025-08-14T21:35:33.8083191Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:35:33.8083593Z x = self.bert(x, segment_label) 2025-08-14T21:35:33.8083961Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:35:33.8084329Z x = transformer.forward(x, mask) 2025-08-14T21:35:33.8084714Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:35:33.8085120Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:35:33.8085525Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:35:33.8085968Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:35:33.8086218Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:35:33.8086338Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:35:33.8086612Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:35:33.8086767Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:35:33.8087028Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-08-14T21:35:33.8087125Z return torch.matmul(p_attn, value), p_attn 2025-08-14T21:35:33.8087129Z 2025-08-14T21:35:33.8087252Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:33.8087468Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:35:33.8087546Z return mod(*inputs) 2025-08-14T21:35:33.8087793Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:35:33.8087872Z x = self.bert(x, segment_label) 2025-08-14T21:35:33.8088103Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:35:33.8088184Z x = transformer.forward(x, mask) 2025-08-14T21:35:33.8088432Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:35:33.8088537Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:35:33.8088781Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:35:33.8088908Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:35:33.8089150Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:35:33.8089267Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:35:33.8089540Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:35:33.8089678Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:35:33.8089970Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-08-14T21:35:33.8090117Z return torch.matmul(p_attn, value), p_attn 2025-08-14T21:35:33.8090121Z 2025-08-14T21:35:33.8090233Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:33.8090453Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:35:33.8090523Z return mod(*inputs) 2025-08-14T21:35:33.8090767Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:35:33.8090851Z x = self.bert(x, segment_label) 2025-08-14T21:35:33.8091070Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:35:33.8091155Z x = transformer.forward(x, mask) 2025-08-14T21:35:33.8091392Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:35:33.8091486Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:35:33.8091747Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:35:33.8091862Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:35:33.8092108Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:35:33.8092223Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:35:33.8092486Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-08-14T21:35:33.8092639Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-08-14T21:35:33.8092643Z 2025-08-14T21:35:33.8092728Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.8092812Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.8092903Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.8092983Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.8093077Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.8093156Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.8093238Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.8093324Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.8093404Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.8093483Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.8093603Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:33.8093819Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:35:33.8093888Z return mod(*inputs) 2025-08-14T21:35:33.8094225Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:35:33.8094310Z x = self.bert(x, segment_label) 2025-08-14T21:35:33.8094544Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:35:33.8094636Z x = transformer.forward(x, mask) 2025-08-14T21:35:33.8094882Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:35:33.8094987Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:35:33.8095236Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:35:33.8095355Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:35:33.8095607Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:35:33.8095727Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:35:33.8096005Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:35:33.8096143Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:35:33.8096444Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-08-14T21:35:33.8096690Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-08-14T21:35:33.8096694Z 2025-08-14T21:35:33.8096810Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:33.8097029Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:35:33.8097099Z return mod(*inputs) 2025-08-14T21:35:33.8097346Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:35:33.8097431Z x = self.bert(x, segment_label) 2025-08-14T21:35:33.8097652Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:35:33.8097733Z x = transformer.forward(x, mask) 2025-08-14T21:35:33.8097984Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:35:33.8098082Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:35:33.8098335Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:35:33.8098451Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:35:33.8098694Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:35:33.8098818Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:35:33.8099083Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:35:33.8099226Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:35:33.8099480Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-08-14T21:35:33.8099645Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-08-14T21:35:33.8099651Z 2025-08-14T21:35:33.8099771Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:33.8099999Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:35:33.8100067Z return mod(*inputs) 2025-08-14T21:35:33.8100317Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:35:33.8100391Z x = self.bert(x, segment_label) 2025-08-14T21:35:33.8100613Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:35:33.8100690Z x = transformer.forward(x, mask) 2025-08-14T21:35:33.8100928Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:35:33.8101028Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:35:33.8101277Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:35:33.8101396Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:35:33.8101644Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:35:33.8101760Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:35:33.8102034Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:35:33.8102171Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:35:33.8102424Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-08-14T21:35:33.8102594Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-08-14T21:35:33.8102598Z 2025-08-14T21:35:33.8102686Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.8102860Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.8102973Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:33.8103180Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:35:33.8103257Z return mod(*inputs) 2025-08-14T21:35:33.8103494Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:35:33.8103569Z x = self.bert(x, segment_label) 2025-08-14T21:35:33.8103792Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:35:33.8103871Z x = transformer.forward(x, mask) 2025-08-14T21:35:33.8104108Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:35:33.8104200Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:35:33.8104443Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:35:33.8104566Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:35:33.8104800Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:35:33.8104920Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:35:33.8105175Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:35:33.8105309Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:35:33.8105569Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-08-14T21:35:33.8105664Z return torch.matmul(p_attn, value), p_attn 2025-08-14T21:35:33.8105668Z 2025-08-14T21:35:33.8105779Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:33.8106004Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:35:33.8106076Z return mod(*inputs) 2025-08-14T21:35:33.8106329Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:35:33.8106406Z x = self.bert(x, segment_label) 2025-08-14T21:35:33.8106636Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:35:33.8106722Z x = transformer.forward(x, mask) 2025-08-14T21:35:33.8106953Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:35:33.8107042Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:35:33.8107287Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:35:33.8107400Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:35:33.8107642Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:35:33.8107757Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:35:33.8108013Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:35:33.8108153Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:35:33.8108397Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-08-14T21:35:33.8108496Z return torch.matmul(p_attn, value), p_attn 2025-08-14T21:35:33.8108499Z 2025-08-14T21:35:33.8108607Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:33.8108813Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:35:33.8108889Z return mod(*inputs) 2025-08-14T21:35:33.8109161Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:35:33.8109267Z x = self.bert(x, segment_label) 2025-08-14T21:35:33.8109495Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:35:33.8109573Z x = transformer.forward(x, mask) 2025-08-14T21:35:33.8109813Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:35:33.8109905Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:35:33.8110150Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:35:33.8110270Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:35:33.8110505Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:35:33.8110626Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:35:33.8110893Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-08-14T21:35:33.8111038Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-08-14T21:35:33.8111042Z 2025-08-14T21:35:33.8111136Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.8111219Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.8111299Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.8111385Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.8111464Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.8111541Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.8111657Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:33.8111869Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:35:33.8111947Z return mod(*inputs) 2025-08-14T21:35:33.8112192Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:35:33.8112272Z x = self.bert(x, segment_label) 2025-08-14T21:35:33.8112497Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:35:33.8112576Z x = transformer.forward(x, mask) 2025-08-14T21:35:33.8112823Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-08-14T21:35:33.8112926Z x = self.output_sublayer(x, self.feed_forward) 2025-08-14T21:35:33.8113186Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:35:33.8113310Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:35:33.8113313Z 2025-08-14T21:35:33.8113396Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.8113477Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.8113574Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.8113659Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.8113767Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:33.8113983Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:35:33.8114049Z return mod(*inputs) 2025-08-14T21:35:33.8114303Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:35:33.8114378Z x = self.bert(x, segment_label) 2025-08-14T21:35:33.8114603Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:35:33.8114688Z x = transformer.forward(x, mask) 2025-08-14T21:35:33.8114961Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:35:33.8115060Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:35:33.8115344Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:35:33.8115490Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:35:33.8115736Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:35:33.8115849Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:35:33.8116106Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:35:33.8116249Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:35:33.8116500Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-08-14T21:35:33.8116662Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-08-14T21:35:33.8116666Z 2025-08-14T21:35:33.8116774Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:33.8116989Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:35:33.8117067Z return mod(*inputs) 2025-08-14T21:35:33.8117309Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:35:33.8117391Z x = self.bert(x, segment_label) 2025-08-14T21:35:33.8117616Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:35:33.8117694Z x = transformer.forward(x, mask) 2025-08-14T21:35:33.8117939Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:35:33.8118032Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:35:33.8118274Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:35:33.8118395Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:35:33.8118635Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:35:33.8118756Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:35:33.8119025Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:35:33.8119158Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:35:33.8119412Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-08-14T21:35:33.8119566Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-08-14T21:35:33.8119570Z 2025-08-14T21:35:33.8119683Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:33.8119891Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:35:33.8119956Z return mod(*inputs) 2025-08-14T21:35:33.8120205Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:35:33.8120279Z x = self.bert(x, segment_label) 2025-08-14T21:35:33.8120503Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:35:33.8120589Z x = transformer.forward(x, mask) 2025-08-14T21:35:33.8120825Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:35:33.8120925Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:35:33.8121173Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:35:33.8121284Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:35:33.8121526Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:35:33.8121717Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:35:33.8121985Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:35:33.8122124Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:35:33.8122368Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-08-14T21:35:33.8122531Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-08-14T21:35:33.8122534Z 2025-08-14T21:35:33.8122618Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.8122701Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.8122818Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:33.8123022Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:35:33.8123096Z return mod(*inputs) 2025-08-14T21:35:33.8123342Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:35:33.8123416Z x = self.bert(x, segment_label) 2025-08-14T21:35:33.8123641Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:35:33.8123718Z x = transformer.forward(x, mask) 2025-08-14T21:35:33.8123949Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:35:33.8124050Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:35:33.8124297Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:35:33.8124417Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:35:33.8124655Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:35:33.8124774Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:35:33.8125048Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:35:33.8125185Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:35:33.8125439Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-08-14T21:35:33.8125541Z return torch.matmul(p_attn, value), p_attn 2025-08-14T21:35:33.8125545Z 2025-08-14T21:35:33.8125656Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:33.8125879Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:35:33.8125950Z return mod(*inputs) 2025-08-14T21:35:33.8126202Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:35:33.8126286Z x = self.bert(x, segment_label) 2025-08-14T21:35:33.8126509Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:35:33.8126596Z x = transformer.forward(x, mask) 2025-08-14T21:35:33.8126828Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:35:33.8126921Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:35:33.8127166Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:35:33.8127280Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:35:33.8127517Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:35:33.8127638Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:35:33.8127903Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:35:33.8128117Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:35:33.8128373Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-08-14T21:35:33.8128469Z return torch.matmul(p_attn, value), p_attn 2025-08-14T21:35:33.8128473Z 2025-08-14T21:35:33.8128594Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:33.8128805Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:35:33.8128896Z return mod(*inputs) 2025-08-14T21:35:33.8129143Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:35:33.8129221Z x = self.bert(x, segment_label) 2025-08-14T21:35:33.8129450Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:35:33.8129532Z x = transformer.forward(x, mask) 2025-08-14T21:35:33.8129913Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:35:33.8130033Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:35:33.8130284Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:35:33.8130409Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:35:33.8130651Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:35:33.8130767Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:35:33.8131044Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-08-14T21:35:33.8131192Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-08-14T21:35:33.8131196Z 2025-08-14T21:35:33.8131293Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.8131383Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.8131468Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.8131558Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.8131641Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.8131722Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.8131812Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.8131893Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.8131975Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.8132067Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.8132180Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:33.8132394Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:35:33.8132472Z return mod(*inputs) 2025-08-14T21:35:33.8132721Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:35:33.8132814Z x = self.bert(x, segment_label) 2025-08-14T21:35:33.8133037Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:35:33.8133119Z x = transformer.forward(x, mask) 2025-08-14T21:35:33.8133374Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:35:33.8133469Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:35:33.8133727Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:35:33.8133844Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:35:33.8134149Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:35:33.8134280Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:35:33.8134637Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:35:33.8134831Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:35:33.8135092Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-08-14T21:35:33.8135255Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-08-14T21:35:33.8135259Z 2025-08-14T21:35:33.8135382Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:33.8135594Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:35:33.8135663Z return mod(*inputs) 2025-08-14T21:35:33.8135919Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:35:33.8135996Z x = self.bert(x, segment_label) 2025-08-14T21:35:33.8136229Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:35:33.8136314Z x = transformer.forward(x, mask) 2025-08-14T21:35:33.8136554Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:35:33.8136768Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:35:33.8137045Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:35:33.8137188Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:35:33.8137489Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:35:33.8137900Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:35:33.8138212Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:35:33.8138408Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:35:33.8138698Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-08-14T21:35:33.8138919Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-08-14T21:35:33.8138923Z 2025-08-14T21:35:33.8139048Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:33.8139324Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:35:33.8139472Z return mod(*inputs) 2025-08-14T21:35:33.8139749Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:35:33.8139856Z x = self.bert(x, segment_label) 2025-08-14T21:35:33.8140162Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:35:33.8140253Z x = transformer.forward(x, mask) 2025-08-14T21:35:33.8140596Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:35:33.8140721Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:35:33.8140995Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:35:33.8141170Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:35:33.8141439Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:35:33.8141626Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:35:33.8141931Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:35:33.8142089Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:35:33.8142387Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-08-14T21:35:33.8142640Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-08-14T21:35:33.8142645Z 2025-08-14T21:35:33.8142769Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.8142895Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.8143042Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:33.8143300Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:35:33.8143391Z return mod(*inputs) 2025-08-14T21:35:33.8143658Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:35:33.8143775Z x = self.bert(x, segment_label) 2025-08-14T21:35:33.8144037Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:35:33.8144198Z x = transformer.forward(x, mask) 2025-08-14T21:35:33.8144456Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:35:33.8144585Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:35:33.8144885Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:35:33.8145009Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:35:33.8145321Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:35:33.8145460Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:35:33.8145741Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:35:33.8145934Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:35:33.8146204Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-08-14T21:35:33.8146313Z return torch.matmul(p_attn, value), p_attn 2025-08-14T21:35:33.8146392Z 2025-08-14T21:35:33.8146540Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:33.8146774Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:35:33.8146888Z return mod(*inputs) 2025-08-14T21:35:33.8166364Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:35:33.8166598Z x = self.bert(x, segment_label) 2025-08-14T21:35:33.8166884Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:35:33.8166978Z x = transformer.forward(x, mask) 2025-08-14T21:35:33.8167246Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:35:33.8167353Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:35:33.8167629Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:35:33.8167769Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:35:33.8168009Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:35:33.8168132Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:35:33.8168406Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-08-14T21:35:33.8168552Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-08-14T21:35:33.8168817Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-08-14T21:35:33.8168919Z return torch.matmul(p_attn, value), p_attn 2025-08-14T21:35:33.8168928Z 2025-08-14T21:35:33.8169051Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:33.8169449Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:35:33.8169595Z return mod(*inputs) 2025-08-14T21:35:33.8169871Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-08-14T21:35:33.8169956Z x = self.bert(x, segment_label) 2025-08-14T21:35:33.8170194Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-08-14T21:35:33.8170290Z x = transformer.forward(x, mask) 2025-08-14T21:35:33.8170542Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-08-14T21:35:33.8170645Z x = self.input_sublayer(x, self.lambda_module) 2025-08-14T21:35:33.8170916Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-08-14T21:35:33.8171040Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-08-14T21:35:33.8171298Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-08-14T21:35:33.8171427Z return self.attention.forward(x, x, x, mask=self.mask) 2025-08-14T21:35:33.8171705Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-08-14T21:35:33.8171874Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-08-14T21:35:33.8171879Z 2025-08-14T21:35:33.8171973Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.8172059Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.8172151Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.8172234Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.8172323Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.8172405Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.8172524Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:33.8172763Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:35:33.8172838Z return mod(*inputs) 2025-08-14T21:35:33.8173099Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 25, in forward 2025-08-14T21:35:33.8173208Z return self.next_sentence(x), self.mask_lm(x) 2025-08-14T21:35:33.8173465Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 42, in forward 2025-08-14T21:35:33.8173568Z return self.softmax(self.linear(x[:, 0])) 2025-08-14T21:35:33.8173572Z 2025-08-14T21:35:33.8173688Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:33.8173907Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:35:33.8173985Z return mod(*inputs) 2025-08-14T21:35:33.8174338Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 25, in forward 2025-08-14T21:35:33.8174449Z return self.next_sentence(x), self.mask_lm(x) 2025-08-14T21:35:33.8174707Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 42, in forward 2025-08-14T21:35:33.8174799Z return self.softmax(self.linear(x[:, 0])) 2025-08-14T21:35:33.8174804Z 2025-08-14T21:35:33.8174923Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:33.8175136Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:35:33.8175207Z return mod(*inputs) 2025-08-14T21:35:33.8175474Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 25, in forward 2025-08-14T21:35:33.8175560Z return self.next_sentence(x), self.mask_lm(x) 2025-08-14T21:35:33.8175796Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 42, in forward 2025-08-14T21:35:33.8175881Z return self.softmax(self.linear(x[:, 0])) 2025-08-14T21:35:33.8175919Z 2025-08-14T21:35:33.8176030Z cudagraph partition due to non gpu ops 2025-08-14T21:35:33.8176118Z cudagraph partition due to non gpu ops 2025-08-14T21:35:51.9507153Z Compilation time (from dynamo_timed): 29.364199144 2025-08-14T21:35:51.9528584Z pass 2025-08-14T21:35:51.9532003Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T21:35:51.9532909Z TIMING: _recursive_pre_grad_passes:0.26925 _recursive_joint_graph_passes:0.53772 _recursive_post_grad_passes:0.17538 async_compile.wait:0.78331 code_gen:17.98708 inductor_compile:19.94468 backend_compile:26.50869 gc:0.00194 entire_frame_compile:29.3642 total_wall_time:29.3642 2025-08-14T21:35:51.9534023Z STATS: call_* op count: 545 | FakeTensor.__torch_dispatch__:4249 | FakeTensorMode.__torch_dispatch__:33539 | ProxyTorchDispatchMode.__torch_dispatch__:9012 2025-08-14T21:35:51.9534810Z Dynamo produced 1 graphs covering 545 ops with 0 graph breaks (0 unique) 2025-08-14T21:35:56.4835027Z 2025-08-14T21:35:59.2153824Z loading model: 0it [00:00, ?it/s] 2025-08-14T21:35:59.2154163Z loading model: 0it [00:02, ?it/s] 2025-08-14T21:35:59.2154403Z cpu eval Background_Matting 2025-08-14T21:35:59.2885065Z Compilation time (from dynamo_timed): 0 2025-08-14T21:35:59.2887910Z pass_due_to_skip 2025-08-14T21:35:59.2888246Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T21:35:59.2888608Z TIMING: total_wall_time:0 2025-08-14T21:35:59.2888805Z STATS: call_* op count: 0 2025-08-14T21:35:59.2889072Z Dynamo produced 0 graphs covering 0 ops with 0 graph breaks (0 unique) 2025-08-14T21:36:02.9492173Z 2025-08-14T21:36:04.7818920Z loading model: 0it [00:00, ?it/s] 2025-08-14T21:36:04.7819233Z loading model: 0it [00:01, ?it/s] 2025-08-14T21:36:04.7819487Z cpu eval LearningToPaint 2025-08-14T21:36:04.8658916Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T21:36:04.8973406Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T21:36:04.9244912Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T21:36:09.9405705Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:09.9406224Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:36:09.9406858Z return mod(*inputs) 2025-08-14T21:36:09.9407234Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 128, in forward 2025-08-14T21:36:09.9407663Z x = F.relu(self.bn1(self.conv1(x))) 2025-08-14T21:36:09.9407818Z 2025-08-14T21:36:09.9407937Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:09.9408346Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:36:09.9408709Z return mod(*inputs) 2025-08-14T21:36:09.9409105Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 128, in forward 2025-08-14T21:36:09.9409562Z x = F.relu(self.bn1(self.conv1(x))) 2025-08-14T21:36:09.9409718Z 2025-08-14T21:36:09.9409837Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:09.9410236Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:36:09.9410581Z return mod(*inputs) 2025-08-14T21:36:09.9410974Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 128, in forward 2025-08-14T21:36:09.9411429Z x = F.relu(self.bn1(self.conv1(x))) 2025-08-14T21:36:09.9411565Z 2025-08-14T21:36:09.9411676Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:09.9412059Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:36:09.9412406Z return mod(*inputs) 2025-08-14T21:36:09.9413111Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward 2025-08-14T21:36:09.9413604Z x = self.layer1(x) 2025-08-14T21:36:09.9413975Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-08-14T21:36:09.9414849Z out = F.relu(self.bn1(self.conv1(x))) 2025-08-14T21:36:09.9415001Z 2025-08-14T21:36:09.9415109Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:09.9415493Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:36:09.9415835Z return mod(*inputs) 2025-08-14T21:36:09.9416170Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward 2025-08-14T21:36:09.9416523Z x = self.layer1(x) 2025-08-14T21:36:09.9416857Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-08-14T21:36:09.9417230Z out = F.relu(self.bn1(self.conv1(x))) 2025-08-14T21:36:09.9417422Z 2025-08-14T21:36:09.9417537Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:09.9417912Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:36:09.9418240Z return mod(*inputs) 2025-08-14T21:36:09.9418623Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward 2025-08-14T21:36:09.9418996Z x = self.layer1(x) 2025-08-14T21:36:09.9419335Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 57, in forward 2025-08-14T21:36:09.9419698Z out = F.relu(out) 2025-08-14T21:36:09.9419811Z 2025-08-14T21:36:09.9419915Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:09.9420294Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:36:09.9420636Z return mod(*inputs) 2025-08-14T21:36:09.9420977Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward 2025-08-14T21:36:09.9421354Z x = self.layer1(x) 2025-08-14T21:36:09.9421687Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 57, in forward 2025-08-14T21:36:09.9422051Z out = F.relu(out) 2025-08-14T21:36:09.9422159Z 2025-08-14T21:36:09.9422248Z cudagraph partition due to non gpu ops 2025-08-14T21:36:09.9422502Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:09.9422877Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:36:09.9423210Z return mod(*inputs) 2025-08-14T21:36:09.9423530Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward 2025-08-14T21:36:09.9423862Z x = self.layer1(x) 2025-08-14T21:36:09.9424165Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-08-14T21:36:09.9424519Z out = F.relu(self.bn1(self.conv1(x))) 2025-08-14T21:36:09.9424654Z 2025-08-14T21:36:09.9424769Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:09.9425158Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:36:09.9425520Z return mod(*inputs) 2025-08-14T21:36:09.9425853Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward 2025-08-14T21:36:09.9426208Z x = self.layer1(x) 2025-08-14T21:36:09.9426538Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-08-14T21:36:09.9426966Z out = F.relu(self.bn1(self.conv1(x))) 2025-08-14T21:36:09.9427098Z 2025-08-14T21:36:09.9427188Z cudagraph partition due to non gpu ops 2025-08-14T21:36:09.9427421Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:09.9427774Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:36:09.9428089Z return mod(*inputs) 2025-08-14T21:36:09.9428546Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward 2025-08-14T21:36:09.9428878Z x = self.layer2(x) 2025-08-14T21:36:09.9429188Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-08-14T21:36:09.9429565Z out = F.relu(self.bn1(self.conv1(x))) 2025-08-14T21:36:09.9429703Z 2025-08-14T21:36:09.9430042Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:09.9430436Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:36:09.9430781Z return mod(*inputs) 2025-08-14T21:36:09.9431126Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward 2025-08-14T21:36:09.9431476Z x = self.layer2(x) 2025-08-14T21:36:09.9431809Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-08-14T21:36:09.9432193Z out = F.relu(self.bn1(self.conv1(x))) 2025-08-14T21:36:09.9432340Z 2025-08-14T21:36:09.9432449Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:09.9432826Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:36:09.9433176Z return mod(*inputs) 2025-08-14T21:36:09.9433507Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward 2025-08-14T21:36:09.9433841Z x = self.layer2(x) 2025-08-14T21:36:09.9434171Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 57, in forward 2025-08-14T21:36:09.9434542Z out = F.relu(out) 2025-08-14T21:36:09.9434637Z 2025-08-14T21:36:09.9434733Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:09.9435080Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:36:09.9435388Z return mod(*inputs) 2025-08-14T21:36:09.9435700Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward 2025-08-14T21:36:09.9436033Z x = self.layer2(x) 2025-08-14T21:36:09.9436344Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 57, in forward 2025-08-14T21:36:09.9436676Z out = F.relu(out) 2025-08-14T21:36:09.9436773Z 2025-08-14T21:36:09.9436854Z cudagraph partition due to non gpu ops 2025-08-14T21:36:09.9437103Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:09.9437481Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:36:09.9437818Z return mod(*inputs) 2025-08-14T21:36:09.9438149Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward 2025-08-14T21:36:09.9438511Z x = self.layer2(x) 2025-08-14T21:36:09.9438842Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-08-14T21:36:09.9439212Z out = F.relu(self.bn1(self.conv1(x))) 2025-08-14T21:36:09.9439350Z 2025-08-14T21:36:09.9439449Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:09.9439814Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:36:09.9440149Z return mod(*inputs) 2025-08-14T21:36:09.9440479Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward 2025-08-14T21:36:09.9440841Z x = self.layer2(x) 2025-08-14T21:36:09.9441168Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-08-14T21:36:09.9441540Z out = F.relu(self.bn1(self.conv1(x))) 2025-08-14T21:36:09.9441686Z 2025-08-14T21:36:09.9441771Z cudagraph partition due to non gpu ops 2025-08-14T21:36:09.9442023Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:09.9442386Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:36:09.9442847Z return mod(*inputs) 2025-08-14T21:36:09.9443186Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward 2025-08-14T21:36:09.9443561Z x = self.layer3(x) 2025-08-14T21:36:09.9443885Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-08-14T21:36:09.9444254Z out = F.relu(self.bn1(self.conv1(x))) 2025-08-14T21:36:09.9444393Z 2025-08-14T21:36:09.9444504Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:09.9444887Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:36:09.9445222Z return mod(*inputs) 2025-08-14T21:36:09.9445561Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward 2025-08-14T21:36:09.9445926Z x = self.layer3(x) 2025-08-14T21:36:09.9446259Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-08-14T21:36:09.9446638Z out = F.relu(self.bn1(self.conv1(x))) 2025-08-14T21:36:09.9446778Z 2025-08-14T21:36:09.9446884Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:09.9447255Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:36:09.9447595Z return mod(*inputs) 2025-08-14T21:36:09.9447929Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward 2025-08-14T21:36:09.9448278Z x = self.layer3(x) 2025-08-14T21:36:09.9448606Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 57, in forward 2025-08-14T21:36:09.9448961Z out = F.relu(out) 2025-08-14T21:36:09.9449062Z 2025-08-14T21:36:09.9449165Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:09.9449535Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:36:09.9449870Z return mod(*inputs) 2025-08-14T21:36:09.9450206Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward 2025-08-14T21:36:09.9450565Z x = self.layer3(x) 2025-08-14T21:36:09.9450903Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 57, in forward 2025-08-14T21:36:09.9451262Z out = F.relu(out) 2025-08-14T21:36:09.9451365Z 2025-08-14T21:36:09.9451449Z cudagraph partition due to non gpu ops 2025-08-14T21:36:09.9451703Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:09.9452084Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:36:09.9452432Z return mod(*inputs) 2025-08-14T21:36:09.9452759Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward 2025-08-14T21:36:09.9453118Z x = self.layer3(x) 2025-08-14T21:36:09.9453452Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-08-14T21:36:09.9453815Z out = F.relu(self.bn1(self.conv1(x))) 2025-08-14T21:36:09.9453961Z 2025-08-14T21:36:09.9454164Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:09.9454558Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:36:09.9454895Z return mod(*inputs) 2025-08-14T21:36:09.9455225Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward 2025-08-14T21:36:09.9455585Z x = self.layer3(x) 2025-08-14T21:36:09.9455920Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-08-14T21:36:09.9456290Z out = F.relu(self.bn1(self.conv1(x))) 2025-08-14T21:36:09.9456440Z 2025-08-14T21:36:09.9456523Z cudagraph partition due to non gpu ops 2025-08-14T21:36:09.9456774Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:09.9457197Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:36:09.9457589Z return mod(*inputs) 2025-08-14T21:36:09.9457936Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward 2025-08-14T21:36:09.9458283Z x = self.layer4(x) 2025-08-14T21:36:09.9458591Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-08-14T21:36:09.9458946Z out = F.relu(self.bn1(self.conv1(x))) 2025-08-14T21:36:09.9459085Z 2025-08-14T21:36:09.9459186Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:09.9459545Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:36:09.9459865Z return mod(*inputs) 2025-08-14T21:36:09.9460188Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward 2025-08-14T21:36:09.9460529Z x = self.layer4(x) 2025-08-14T21:36:09.9460834Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-08-14T21:36:09.9461188Z out = F.relu(self.bn1(self.conv1(x))) 2025-08-14T21:36:09.9461328Z 2025-08-14T21:36:09.9461427Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:09.9461782Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:36:09.9462094Z return mod(*inputs) 2025-08-14T21:36:09.9462434Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward 2025-08-14T21:36:09.9462804Z x = self.layer4(x) 2025-08-14T21:36:09.9463130Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 57, in forward 2025-08-14T21:36:09.9463501Z out = F.relu(out) 2025-08-14T21:36:09.9463610Z 2025-08-14T21:36:09.9463716Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:09.9464093Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:36:09.9464432Z return mod(*inputs) 2025-08-14T21:36:09.9464780Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward 2025-08-14T21:36:09.9465124Z x = self.layer4(x) 2025-08-14T21:36:09.9465432Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 57, in forward 2025-08-14T21:36:09.9465775Z out = F.relu(out) 2025-08-14T21:36:09.9465877Z 2025-08-14T21:36:09.9465956Z cudagraph partition due to non gpu ops 2025-08-14T21:36:09.9466190Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:09.9466542Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:36:09.9466865Z return mod(*inputs) 2025-08-14T21:36:09.9467181Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward 2025-08-14T21:36:09.9467516Z x = self.layer4(x) 2025-08-14T21:36:09.9467836Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-08-14T21:36:09.9468190Z out = F.relu(self.bn1(self.conv1(x))) 2025-08-14T21:36:09.9468324Z 2025-08-14T21:36:09.9468431Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:09.9468786Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:36:09.9469110Z return mod(*inputs) 2025-08-14T21:36:09.9469437Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward 2025-08-14T21:36:09.9469773Z x = self.layer4(x) 2025-08-14T21:36:09.9470094Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-08-14T21:36:09.9470468Z out = F.relu(self.bn1(self.conv1(x))) 2025-08-14T21:36:09.9470610Z 2025-08-14T21:36:09.9470702Z cudagraph partition due to non gpu ops 2025-08-14T21:36:09.9470945Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:09.9471408Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T21:36:09.9471765Z return mod(*inputs) 2025-08-14T21:36:09.9472105Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 133, in forward 2025-08-14T21:36:09.9472498Z x = F.avg_pool2d(x, 4) 2025-08-14T21:36:09.9472612Z 2025-08-14T21:36:09.9472702Z cudagraph partition due to non gpu ops 2025-08-14T21:36:09.9472920Z cudagraph partition due to non gpu ops 2025-08-14T21:36:17.2012737Z Compilation time (from dynamo_timed): 11.359964588 2025-08-14T21:36:17.2013066Z pass 2025-08-14T21:36:17.2014758Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T21:36:17.2015686Z TIMING: _recursive_pre_grad_passes:0.01569 _recursive_joint_graph_passes:0.14461 _recursive_post_grad_passes:0.0249 async_compile.wait:0.57118 code_gen:6.85323 inductor_compile:7.59187 backend_compile:9.83366 gc:0.00132 entire_frame_compile:11.35996 total_wall_time:11.35996 2025-08-14T21:36:17.2016725Z STATS: call_* op count: 73 | FakeTensorMode.__torch_dispatch__:8815 | FakeTensor.__torch_dispatch__:525 | ProxyTorchDispatchMode.__torch_dispatch__:2138 2025-08-14T21:36:17.2017268Z Dynamo produced 1 graphs covering 73 ops with 0 graph breaks (0 unique) 2025-08-14T21:36:21.6082672Z 2025-08-14T21:36:22.5691163Z 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 2025-08-14T21:36:22.5851255Z 2025-08-14T21:36:22.5851699Z 2025-08-14T21:36:22.6847459Z 0% 0.00/528M [00:00 2025-08-14T22:06:36.7045390Z _x: List[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)] 2025-08-14T22:06:36.7045602Z 2025-08-14T22:06:36.7045709Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:06:36.7046335Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward 2025-08-14T22:06:36.7046813Z feats = self.feat_extractor(x) 2025-08-14T22:06:36.7047162Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward 2025-08-14T22:06:36.7047529Z x = module(x) 2025-08-14T22:06:36.7047852Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-08-14T22:06:36.7048208Z out = self.relu(out) 2025-08-14T22:06:36.7048318Z 2025-08-14T22:06:36.7048424Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:06:36.7048915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward 2025-08-14T22:06:36.7049378Z feat_concat = self.fpn(feats) 2025-08-14T22:06:36.7049826Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 83, in forward 2025-08-14T22:06:36.7050377Z _x: List[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)] 2025-08-14T22:06:36.7050928Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 83, in 2025-08-14T22:06:36.7051479Z _x: List[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)] 2025-08-14T22:06:36.7051688Z 2025-08-14T22:06:36.7051797Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:06:36.7052308Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward 2025-08-14T22:06:36.7052783Z feats = self.feat_extractor(x) 2025-08-14T22:06:36.7053147Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward 2025-08-14T22:06:36.7053500Z x = module(x) 2025-08-14T22:06:36.7053833Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-08-14T22:06:36.7054276Z out = self.relu(out) 2025-08-14T22:06:36.7054394Z 2025-08-14T22:06:36.7054508Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:06:36.7055000Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward 2025-08-14T22:06:36.7055473Z feats = self.feat_extractor(x) 2025-08-14T22:06:36.7055830Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward 2025-08-14T22:06:36.7056170Z x = module(x) 2025-08-14T22:06:36.7056583Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-08-14T22:06:36.7056938Z out = self.relu(out) 2025-08-14T22:06:36.7057048Z 2025-08-14T22:06:36.7057161Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:06:36.7057657Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward 2025-08-14T22:06:36.7058123Z feats = self.feat_extractor(x) 2025-08-14T22:06:36.7058485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward 2025-08-14T22:06:36.7058829Z x = module(x) 2025-08-14T22:06:36.7059158Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-08-14T22:06:36.7059523Z out = self.relu(out) 2025-08-14T22:06:36.7059635Z 2025-08-14T22:06:36.7059858Z cudagraph partition due to non gpu ops 2025-08-14T22:06:36.7060115Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:06:36.7060618Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward 2025-08-14T22:06:36.7061090Z feats = self.feat_extractor(x) 2025-08-14T22:06:36.7061453Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward 2025-08-14T22:06:36.7061804Z x = module(x) 2025-08-14T22:06:36.7062135Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-08-14T22:06:36.7062502Z out = self.relu(out) 2025-08-14T22:06:36.7062614Z 2025-08-14T22:06:36.7062724Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:06:36.7063226Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward 2025-08-14T22:06:36.7063707Z feats = self.feat_extractor(x) 2025-08-14T22:06:36.7064075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward 2025-08-14T22:06:36.7064420Z x = module(x) 2025-08-14T22:06:36.7064747Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-08-14T22:06:36.7065123Z out = self.relu(out) 2025-08-14T22:06:36.7065233Z 2025-08-14T22:06:36.7065341Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:06:36.7065843Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward 2025-08-14T22:06:36.7066312Z feats = self.feat_extractor(x) 2025-08-14T22:06:36.7066671Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward 2025-08-14T22:06:36.7067030Z x = module(x) 2025-08-14T22:06:36.7067362Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-08-14T22:06:36.7067733Z out = self.relu(out) 2025-08-14T22:06:36.7067844Z 2025-08-14T22:06:36.7067953Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:06:36.7068455Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward 2025-08-14T22:06:36.7068920Z feats = self.feat_extractor(x) 2025-08-14T22:06:36.7069282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward 2025-08-14T22:06:36.7069643Z x = module(x) 2025-08-14T22:06:36.7069962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-08-14T22:06:36.7070329Z out = self.relu(out) 2025-08-14T22:06:36.7070438Z 2025-08-14T22:06:36.7070528Z cudagraph partition due to non gpu ops 2025-08-14T22:06:36.7070770Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:06:36.7071331Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward 2025-08-14T22:06:36.7071789Z feats = self.feat_extractor(x) 2025-08-14T22:06:36.7072135Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward 2025-08-14T22:06:36.7072497Z x = module(x) 2025-08-14T22:06:36.7072820Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-08-14T22:06:36.7073190Z out = self.relu(out) 2025-08-14T22:06:36.7073296Z 2025-08-14T22:06:36.7073400Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:06:36.7073898Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward 2025-08-14T22:06:36.7074359Z feats = self.feat_extractor(x) 2025-08-14T22:06:36.7074708Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward 2025-08-14T22:06:36.7075065Z x = module(x) 2025-08-14T22:06:36.7075388Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-08-14T22:06:36.7075751Z out = self.relu(out) 2025-08-14T22:06:36.7075859Z 2025-08-14T22:06:36.7075962Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:06:36.7076456Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward 2025-08-14T22:06:36.7076922Z feats = self.feat_extractor(x) 2025-08-14T22:06:36.7077274Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward 2025-08-14T22:06:36.7077628Z x = module(x) 2025-08-14T22:06:36.7077954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-08-14T22:06:36.7078314Z out = self.relu(out) 2025-08-14T22:06:36.7078431Z 2025-08-14T22:06:36.7078538Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:06:36.7079038Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward 2025-08-14T22:06:36.7079501Z feats = self.feat_extractor(x) 2025-08-14T22:06:36.7079861Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward 2025-08-14T22:06:36.7080207Z x = module(x) 2025-08-14T22:06:36.7080536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-08-14T22:06:36.7080967Z out = self.relu(out) 2025-08-14T22:06:36.7081077Z 2025-08-14T22:06:36.7081160Z cudagraph partition due to non gpu ops 2025-08-14T22:06:36.7081411Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:06:36.7081904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward 2025-08-14T22:06:36.7082362Z feats = self.feat_extractor(x) 2025-08-14T22:06:36.7082704Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward 2025-08-14T22:06:36.7083032Z x = module(x) 2025-08-14T22:06:36.7083351Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-08-14T22:06:36.7083701Z out = self.relu(out) 2025-08-14T22:06:36.7083818Z 2025-08-14T22:06:36.7083925Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:06:36.7084411Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward 2025-08-14T22:06:36.7084869Z feats = self.feat_extractor(x) 2025-08-14T22:06:36.7085223Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward 2025-08-14T22:06:36.7085657Z x = module(x) 2025-08-14T22:06:36.7085972Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-08-14T22:06:36.7086331Z out = self.relu(out) 2025-08-14T22:06:36.7086442Z 2025-08-14T22:06:36.7086543Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:06:36.7087039Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward 2025-08-14T22:06:36.7087495Z feats = self.feat_extractor(x) 2025-08-14T22:06:36.7087830Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward 2025-08-14T22:06:36.7088169Z x = module(x) 2025-08-14T22:06:36.7088480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-08-14T22:06:36.7088827Z out = self.relu(out) 2025-08-14T22:06:36.7088944Z 2025-08-14T22:06:36.7089052Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:06:36.7089553Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward 2025-08-14T22:06:36.7090039Z feats = self.feat_extractor(x) 2025-08-14T22:06:36.7090393Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward 2025-08-14T22:06:36.7090764Z x = module(x) 2025-08-14T22:06:36.7091093Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-08-14T22:06:36.7091462Z out = self.relu(out) 2025-08-14T22:06:36.7091572Z 2025-08-14T22:06:36.7091680Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:06:36.7092182Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward 2025-08-14T22:06:36.7092652Z feats = self.feat_extractor(x) 2025-08-14T22:06:36.7093015Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward 2025-08-14T22:06:36.7093377Z x = module(x) 2025-08-14T22:06:36.7093707Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward 2025-08-14T22:06:36.7094168Z out = self.relu(out) 2025-08-14T22:06:36.7094282Z 2025-08-14T22:06:36.7094393Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:06:36.7094904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward 2025-08-14T22:06:36.7095383Z feats = self.feat_extractor(x) 2025-08-14T22:06:36.7095712Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward 2025-08-14T22:06:36.7096046Z x = module(x) 2025-08-14T22:06:36.7096369Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward 2025-08-14T22:06:36.7096739Z out = self.relu(out) 2025-08-14T22:06:36.7096847Z 2025-08-14T22:06:36.7096934Z cudagraph partition due to non gpu ops 2025-08-14T22:06:36.7097189Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:06:36.7097686Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward 2025-08-14T22:06:36.7098156Z feat_concat = self.fpn(feats) 2025-08-14T22:06:36.7098619Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 83, in forward 2025-08-14T22:06:36.7099169Z _x: List[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)] 2025-08-14T22:06:36.7099729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 83, in 2025-08-14T22:06:36.7101495Z _x: List[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)] 2025-08-14T22:06:36.7101787Z 2025-08-14T22:06:36.7101902Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:06:36.7102448Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward 2025-08-14T22:06:36.7102930Z feats = self.feat_extractor(x) 2025-08-14T22:06:36.7103295Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward 2025-08-14T22:06:36.7103659Z x = module(x) 2025-08-14T22:06:36.7103992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-08-14T22:06:36.7104364Z out = self.relu(out) 2025-08-14T22:06:36.7104477Z 2025-08-14T22:06:36.7104588Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:06:36.7105093Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward 2025-08-14T22:06:36.7105568Z feat_concat = self.fpn(feats) 2025-08-14T22:06:36.7106029Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 83, in forward 2025-08-14T22:06:36.7106583Z _x: List[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)] 2025-08-14T22:06:36.7107142Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 83, in 2025-08-14T22:06:36.7107701Z _x: List[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)] 2025-08-14T22:06:36.7107909Z 2025-08-14T22:06:36.7108018Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:06:36.7108574Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward 2025-08-14T22:06:36.7109087Z feats = self.feat_extractor(x) 2025-08-14T22:06:36.7109474Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward 2025-08-14T22:06:36.7109825Z x = module(x) 2025-08-14T22:06:36.7110156Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-08-14T22:06:36.7110531Z out = self.relu(out) 2025-08-14T22:06:36.7110642Z 2025-08-14T22:06:36.7110756Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:06:36.7111253Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward 2025-08-14T22:06:36.7111726Z feats = self.feat_extractor(x) 2025-08-14T22:06:36.7112090Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward 2025-08-14T22:06:36.7112453Z x = module(x) 2025-08-14T22:06:36.7112790Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-08-14T22:06:36.7113171Z out = self.relu(out) 2025-08-14T22:06:36.7113283Z 2025-08-14T22:06:36.7113399Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:06:36.7113879Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward 2025-08-14T22:06:36.7114332Z feats = self.feat_extractor(x) 2025-08-14T22:06:36.7114684Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward 2025-08-14T22:06:36.7115039Z x = module(x) 2025-08-14T22:06:36.7115355Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-08-14T22:06:36.7115713Z out = self.relu(out) 2025-08-14T22:06:36.7115821Z 2025-08-14T22:06:36.7115912Z cudagraph partition due to non gpu ops 2025-08-14T22:06:36.7116160Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:06:36.7116726Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward 2025-08-14T22:06:36.7117196Z feats = self.feat_extractor(x) 2025-08-14T22:06:36.7117552Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward 2025-08-14T22:06:36.7117913Z x = module(x) 2025-08-14T22:06:36.7118245Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-08-14T22:06:36.7118611Z out = self.relu(out) 2025-08-14T22:06:36.7118720Z 2025-08-14T22:06:36.7118829Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:06:36.7119327Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward 2025-08-14T22:06:36.7119783Z feats = self.feat_extractor(x) 2025-08-14T22:06:36.7120137Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward 2025-08-14T22:06:36.7120476Z x = module(x) 2025-08-14T22:06:36.7120796Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-08-14T22:06:36.7121149Z out = self.relu(out) 2025-08-14T22:06:36.7121255Z 2025-08-14T22:06:36.7121361Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:06:36.7121847Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward 2025-08-14T22:06:36.7122299Z feats = self.feat_extractor(x) 2025-08-14T22:06:36.7122653Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward 2025-08-14T22:06:36.7122990Z x = module(x) 2025-08-14T22:06:36.7123310Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-08-14T22:06:36.7123667Z out = self.relu(out) 2025-08-14T22:06:36.7123782Z 2025-08-14T22:06:36.7123887Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:06:36.7124370Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward 2025-08-14T22:06:36.7124817Z feats = self.feat_extractor(x) 2025-08-14T22:06:36.7125160Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward 2025-08-14T22:06:36.7125497Z x = module(x) 2025-08-14T22:06:36.7125814Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-08-14T22:06:36.7126165Z out = self.relu(out) 2025-08-14T22:06:36.7126270Z 2025-08-14T22:06:36.7126354Z cudagraph partition due to non gpu ops 2025-08-14T22:06:36.7126601Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:06:36.7127089Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward 2025-08-14T22:06:36.7127549Z feats = self.feat_extractor(x) 2025-08-14T22:06:36.7127893Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward 2025-08-14T22:06:36.7128236Z x = module(x) 2025-08-14T22:06:36.7128552Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-08-14T22:06:36.7128905Z out = self.relu(out) 2025-08-14T22:06:36.7129024Z 2025-08-14T22:06:36.7129131Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:06:36.7129631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward 2025-08-14T22:06:36.7130255Z feats = self.feat_extractor(x) 2025-08-14T22:06:36.7130618Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward 2025-08-14T22:06:36.7131065Z x = module(x) 2025-08-14T22:06:36.7131464Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-08-14T22:06:36.7131835Z out = self.relu(out) 2025-08-14T22:06:36.7131948Z 2025-08-14T22:06:36.7132058Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:06:36.7132555Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward 2025-08-14T22:06:36.7133023Z feats = self.feat_extractor(x) 2025-08-14T22:06:36.7133375Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward 2025-08-14T22:06:36.7133732Z x = module(x) 2025-08-14T22:06:36.7134114Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-08-14T22:06:36.7134494Z out = self.relu(out) 2025-08-14T22:06:36.7134606Z 2025-08-14T22:06:36.7134718Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:06:36.7135228Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward 2025-08-14T22:06:36.7135697Z feats = self.feat_extractor(x) 2025-08-14T22:06:36.7136064Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward 2025-08-14T22:06:36.7136422Z x = module(x) 2025-08-14T22:06:36.7136756Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-08-14T22:06:36.7137126Z out = self.relu(out) 2025-08-14T22:06:36.7137239Z 2025-08-14T22:06:36.7137326Z cudagraph partition due to non gpu ops 2025-08-14T22:06:36.7137584Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:06:36.7138085Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward 2025-08-14T22:06:36.7138558Z feats = self.feat_extractor(x) 2025-08-14T22:06:36.7138923Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward 2025-08-14T22:06:36.7139281Z x = module(x) 2025-08-14T22:06:36.7139610Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-08-14T22:06:36.7139967Z out = self.relu(out) 2025-08-14T22:06:36.7140087Z 2025-08-14T22:06:36.7140196Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:06:36.7140700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward 2025-08-14T22:06:36.7141170Z feats = self.feat_extractor(x) 2025-08-14T22:06:36.7141527Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward 2025-08-14T22:06:36.7141882Z x = module(x) 2025-08-14T22:06:36.7142214Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-08-14T22:06:36.7142576Z out = self.relu(out) 2025-08-14T22:06:36.7142695Z 2025-08-14T22:06:36.7142803Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:06:36.7143303Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward 2025-08-14T22:06:36.7143773Z feats = self.feat_extractor(x) 2025-08-14T22:06:36.7144125Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward 2025-08-14T22:06:36.7144478Z x = module(x) 2025-08-14T22:06:36.7144813Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-08-14T22:06:36.7145157Z out = self.relu(out) 2025-08-14T22:06:36.7145273Z 2025-08-14T22:06:36.7145379Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:06:36.7145911Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward 2025-08-14T22:06:36.7146410Z feats = self.feat_extractor(x) 2025-08-14T22:06:36.7146760Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward 2025-08-14T22:06:36.7147116Z x = module(x) 2025-08-14T22:06:36.7147439Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-08-14T22:06:36.7147801Z out = self.relu(out) 2025-08-14T22:06:36.7147914Z 2025-08-14T22:06:36.7147997Z cudagraph partition due to non gpu ops 2025-08-14T22:06:36.7148248Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:06:36.7148742Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward 2025-08-14T22:06:36.7149195Z feats = self.feat_extractor(x) 2025-08-14T22:06:36.7149562Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward 2025-08-14T22:06:36.7149915Z x = module(x) 2025-08-14T22:06:36.7150233Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-08-14T22:06:36.7150597Z out = self.relu(out) 2025-08-14T22:06:36.7150712Z 2025-08-14T22:06:36.7150819Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:06:36.7151311Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward 2025-08-14T22:06:36.7151764Z feats = self.feat_extractor(x) 2025-08-14T22:06:36.7152121Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward 2025-08-14T22:06:36.7152467Z x = module(x) 2025-08-14T22:06:36.7152788Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-08-14T22:06:36.7153143Z out = self.relu(out) 2025-08-14T22:06:36.7153258Z 2025-08-14T22:06:36.7153363Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:06:36.7153853Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward 2025-08-14T22:06:36.7154308Z feats = self.feat_extractor(x) 2025-08-14T22:06:36.7154665Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward 2025-08-14T22:06:36.7155012Z x = module(x) 2025-08-14T22:06:36.7155332Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-08-14T22:06:36.7155681Z out = self.relu(out) 2025-08-14T22:06:36.7155796Z 2025-08-14T22:06:36.7155904Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:06:36.7156398Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward 2025-08-14T22:06:36.7156857Z feats = self.feat_extractor(x) 2025-08-14T22:06:36.7157222Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward 2025-08-14T22:06:36.7157578Z x = module(x) 2025-08-14T22:06:36.7157902Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-08-14T22:06:36.7158312Z out = self.relu(out) 2025-08-14T22:06:36.7158428Z 2025-08-14T22:06:36.7158511Z cudagraph partition due to non gpu ops 2025-08-14T22:06:36.7158759Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:06:36.7159252Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward 2025-08-14T22:06:36.7159711Z feats = self.feat_extractor(x) 2025-08-14T22:06:36.7160117Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward 2025-08-14T22:06:36.7160505Z x = module(x) 2025-08-14T22:06:36.7160827Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-08-14T22:06:36.7161204Z out = self.relu(out) 2025-08-14T22:06:36.7161316Z 2025-08-14T22:06:36.7161441Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:06:36.7161935Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward 2025-08-14T22:06:36.7162397Z feats = self.feat_extractor(x) 2025-08-14T22:06:36.7162761Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward 2025-08-14T22:06:36.7163119Z x = module(x) 2025-08-14T22:06:36.7163438Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-08-14T22:06:36.7163808Z out = self.relu(out) 2025-08-14T22:06:36.7163929Z 2025-08-14T22:06:36.7164037Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:06:36.7164526Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward 2025-08-14T22:06:36.7164979Z feats = self.feat_extractor(x) 2025-08-14T22:06:36.7165344Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward 2025-08-14T22:06:36.7165702Z x = module(x) 2025-08-14T22:06:36.7166019Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-08-14T22:06:36.7166438Z out = self.relu(out) 2025-08-14T22:06:36.7166552Z 2025-08-14T22:06:36.7166658Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:06:36.7167152Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward 2025-08-14T22:06:36.7167625Z feats = self.feat_extractor(x) 2025-08-14T22:06:36.7167991Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward 2025-08-14T22:06:36.7168362Z x = module(x) 2025-08-14T22:06:36.7168687Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-08-14T22:06:36.7169059Z out = self.relu(out) 2025-08-14T22:06:36.7169176Z 2025-08-14T22:06:36.7169285Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:06:36.7169817Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward 2025-08-14T22:06:36.7170283Z feats = self.feat_extractor(x) 2025-08-14T22:06:36.7170648Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward 2025-08-14T22:06:36.7171015Z x = module(x) 2025-08-14T22:06:36.7171347Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward 2025-08-14T22:06:36.7171713Z out = self.relu(out) 2025-08-14T22:06:36.7171832Z 2025-08-14T22:06:36.7171942Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:06:36.7172444Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward 2025-08-14T22:06:36.7172906Z feats = self.feat_extractor(x) 2025-08-14T22:06:36.7173267Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward 2025-08-14T22:06:36.7173628Z x = module(x) 2025-08-14T22:06:36.7174044Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward 2025-08-14T22:06:36.7174434Z out = self.relu(out) 2025-08-14T22:06:36.7174555Z 2025-08-14T22:06:36.7174642Z cudagraph partition due to non gpu ops 2025-08-14T22:06:36.7174902Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:06:36.7175485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward 2025-08-14T22:06:36.7175964Z feat_concat = self.fpn(feats) 2025-08-14T22:06:36.7176430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 83, in forward 2025-08-14T22:06:36.7176981Z _x: List[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)] 2025-08-14T22:06:36.7177530Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 83, in 2025-08-14T22:06:36.7178084Z _x: List[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)] 2025-08-14T22:06:36.7178302Z 2025-08-14T22:06:36.7178414Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:06:36.7178922Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward 2025-08-14T22:06:36.7179393Z feats = self.feat_extractor(x) 2025-08-14T22:06:36.7179758Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward 2025-08-14T22:06:36.7180117Z x = module(x) 2025-08-14T22:06:36.7180451Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-08-14T22:06:36.7180819Z out = self.relu(out) 2025-08-14T22:06:36.7180939Z 2025-08-14T22:06:36.7181052Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:06:36.7181517Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward 2025-08-14T22:06:36.7181945Z feat_concat = self.fpn(feats) 2025-08-14T22:06:36.7182370Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 83, in forward 2025-08-14T22:06:36.7182876Z _x: List[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)] 2025-08-14T22:06:36.7183388Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 83, in 2025-08-14T22:06:36.7183890Z _x: List[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)] 2025-08-14T22:06:36.7184092Z 2025-08-14T22:06:36.7184192Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:06:36.7184653Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward 2025-08-14T22:06:36.7185088Z feats = self.feat_extractor(x) 2025-08-14T22:06:36.7185420Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward 2025-08-14T22:06:36.7185773Z x = module(x) 2025-08-14T22:06:36.7186102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-08-14T22:06:36.7186463Z out = self.relu(out) 2025-08-14T22:06:36.7186585Z 2025-08-14T22:06:36.7186691Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:06:36.7187178Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward 2025-08-14T22:06:36.7187640Z feats = self.feat_extractor(x) 2025-08-14T22:06:36.7187989Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward 2025-08-14T22:06:36.7188338Z x = module(x) 2025-08-14T22:06:36.7188645Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-08-14T22:06:36.7188982Z out = self.relu(out) 2025-08-14T22:06:36.7189085Z 2025-08-14T22:06:36.7189185Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:06:36.7189691Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward 2025-08-14T22:06:36.7190165Z feats = self.feat_extractor(x) 2025-08-14T22:06:36.7190497Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward 2025-08-14T22:06:36.7190826Z x = module(x) 2025-08-14T22:06:36.7191133Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-08-14T22:06:36.7191476Z out = self.relu(out) 2025-08-14T22:06:36.7191579Z 2025-08-14T22:06:36.7191662Z cudagraph partition due to non gpu ops 2025-08-14T22:06:36.7191899Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:06:36.7192360Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward 2025-08-14T22:06:36.7192785Z feats = self.feat_extractor(x) 2025-08-14T22:06:36.7193135Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward 2025-08-14T22:06:36.7193491Z x = module(x) 2025-08-14T22:06:36.7193814Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-08-14T22:06:36.7194179Z out = self.relu(out) 2025-08-14T22:06:36.7194296Z 2025-08-14T22:06:36.7194402Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:06:36.7194891Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward 2025-08-14T22:06:36.7195342Z feats = self.feat_extractor(x) 2025-08-14T22:06:36.7195695Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward 2025-08-14T22:06:36.7196054Z x = module(x) 2025-08-14T22:06:36.7196377Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-08-14T22:06:36.7196733Z out = self.relu(out) 2025-08-14T22:06:36.7196851Z 2025-08-14T22:06:36.7196957Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:06:36.7197444Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward 2025-08-14T22:06:36.7197900Z feats = self.feat_extractor(x) 2025-08-14T22:06:36.7198248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward 2025-08-14T22:06:36.7198590Z x = module(x) 2025-08-14T22:06:36.7198912Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-08-14T22:06:36.7199263Z out = self.relu(out) 2025-08-14T22:06:36.7199379Z 2025-08-14T22:06:36.7199484Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:06:36.7199977Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward 2025-08-14T22:06:36.7200436Z feats = self.feat_extractor(x) 2025-08-14T22:06:36.7200783Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward 2025-08-14T22:06:36.7201135Z x = module(x) 2025-08-14T22:06:36.7201458Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-08-14T22:06:36.7201809Z out = self.relu(out) 2025-08-14T22:06:36.7201926Z 2025-08-14T22:06:36.7202011Z cudagraph partition due to non gpu ops 2025-08-14T22:06:36.7202261Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:06:36.7202751Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward 2025-08-14T22:06:36.7203205Z feat_concat = self.fpn(feats) 2025-08-14T22:06:36.7203699Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 83, in forward 2025-08-14T22:06:36.7204266Z _x: List[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)] 2025-08-14T22:06:36.7204802Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 83, in 2025-08-14T22:06:36.7205331Z _x: List[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)] 2025-08-14T22:06:36.7205543Z 2025-08-14T22:06:36.7205650Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:06:36.7206134Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward 2025-08-14T22:06:36.7206590Z feat_concat = self.fpn(feats) 2025-08-14T22:06:36.7207050Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 83, in forward 2025-08-14T22:06:36.7207593Z _x: List[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)] 2025-08-14T22:06:36.7208145Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 83, in 2025-08-14T22:06:36.7208701Z _x: List[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)] 2025-08-14T22:06:36.7208910Z 2025-08-14T22:06:36.7209015Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:06:36.7209501Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward 2025-08-14T22:06:36.7209959Z feat_concat = self.fpn(feats) 2025-08-14T22:06:36.7210399Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 86, in forward 2025-08-14T22:06:36.7210871Z out.append(self.upsample(out[-1]) + t) 2025-08-14T22:06:36.7211026Z 2025-08-14T22:06:36.7211138Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:06:36.7211647Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward 2025-08-14T22:06:36.7212120Z feat_concat = self.fpn(feats) 2025-08-14T22:06:36.7212581Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in forward 2025-08-14T22:06:36.7215989Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-08-14T22:06:36.7216568Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in 2025-08-14T22:06:36.7217125Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-08-14T22:06:36.7217331Z 2025-08-14T22:06:36.7217453Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:06:36.7217983Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward 2025-08-14T22:06:36.7218470Z feat_concat = self.fpn(feats) 2025-08-14T22:06:36.7218940Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 86, in forward 2025-08-14T22:06:36.7219437Z out.append(self.upsample(out[-1]) + t) 2025-08-14T22:06:36.7219594Z 2025-08-14T22:06:36.7219717Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:06:36.7220223Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward 2025-08-14T22:06:36.7220710Z feat_concat = self.fpn(feats) 2025-08-14T22:06:36.7221184Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in forward 2025-08-14T22:06:36.7221740Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-08-14T22:06:36.7222353Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in 2025-08-14T22:06:36.7222829Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-08-14T22:06:36.7223006Z 2025-08-14T22:06:36.7223107Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:06:36.7223554Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward 2025-08-14T22:06:36.7223968Z feat_concat = self.fpn(feats) 2025-08-14T22:06:36.7224379Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in forward 2025-08-14T22:06:36.7224843Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-08-14T22:06:36.7225323Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in 2025-08-14T22:06:36.7225806Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-08-14T22:06:36.7226000Z 2025-08-14T22:06:36.7226108Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:06:36.7226597Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward 2025-08-14T22:06:36.7227051Z feat_concat = self.fpn(feats) 2025-08-14T22:06:36.7227487Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in forward 2025-08-14T22:06:36.7227974Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-08-14T22:06:36.7228454Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in 2025-08-14T22:06:36.7228947Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-08-14T22:06:36.7229143Z 2025-08-14T22:06:36.7229255Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:06:36.7229760Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward 2025-08-14T22:06:36.7230409Z feat_concat = self.fpn(feats) 2025-08-14T22:06:36.7230864Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in forward 2025-08-14T22:06:36.7231350Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-08-14T22:06:36.7231828Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in 2025-08-14T22:06:36.7232311Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-08-14T22:06:36.7232487Z 2025-08-14T22:06:36.7232599Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:06:36.7233063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward 2025-08-14T22:06:36.7233500Z feat_concat = self.fpn(feats) 2025-08-14T22:06:36.7233924Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in forward 2025-08-14T22:06:36.7234402Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-08-14T22:06:36.7234866Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in 2025-08-14T22:06:36.7235341Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-08-14T22:06:36.7235509Z 2025-08-14T22:06:36.7235616Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:06:36.7236186Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward 2025-08-14T22:06:36.7236689Z feat_concat = self.fpn(feats) 2025-08-14T22:06:36.7237137Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in forward 2025-08-14T22:06:36.7237653Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-08-14T22:06:36.7238152Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in 2025-08-14T22:06:36.7238667Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-08-14T22:06:36.7238859Z 2025-08-14T22:06:36.7238967Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:06:36.7239458Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward 2025-08-14T22:06:36.7239917Z feat_concat = self.fpn(feats) 2025-08-14T22:06:36.7240375Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in forward 2025-08-14T22:06:36.7240889Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-08-14T22:06:36.7241400Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in 2025-08-14T22:06:36.7241912Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-08-14T22:06:36.7242104Z 2025-08-14T22:06:36.7242210Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:06:36.7242698Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward 2025-08-14T22:06:36.7243158Z feat_concat = self.fpn(feats) 2025-08-14T22:06:36.7243600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in forward 2025-08-14T22:06:36.7244105Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-08-14T22:06:36.7244621Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in 2025-08-14T22:06:36.7245137Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-08-14T22:06:36.7245330Z 2025-08-14T22:06:36.7245435Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:06:36.7245923Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward 2025-08-14T22:06:36.7246380Z feat_concat = self.fpn(feats) 2025-08-14T22:06:36.7246829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in forward 2025-08-14T22:06:36.7247333Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-08-14T22:06:36.7247850Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in 2025-08-14T22:06:36.7248366Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-08-14T22:06:36.7248550Z 2025-08-14T22:06:36.7248666Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:06:36.7249154Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward 2025-08-14T22:06:36.7249614Z feat_concat = self.fpn(feats) 2025-08-14T22:06:36.7250065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in forward 2025-08-14T22:06:36.7250571Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-08-14T22:06:36.7251140Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in 2025-08-14T22:06:36.7251692Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-08-14T22:06:36.7251876Z 2025-08-14T22:06:36.7251991Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:06:36.7252486Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward 2025-08-14T22:06:36.7252951Z feat_concat = self.fpn(feats) 2025-08-14T22:06:36.7253410Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in forward 2025-08-14T22:06:36.7254168Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-08-14T22:06:36.7254701Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in 2025-08-14T22:06:36.7255245Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-08-14T22:06:36.7255448Z 2025-08-14T22:06:36.7255543Z cudagraph partition due to non gpu ops 2025-08-14T22:06:36.7255761Z cudagraph partition due to non gpu ops 2025-08-14T22:06:36.7255986Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:06:36.7256451Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 194, in forward 2025-08-14T22:06:36.7256893Z logits = self.prob_head(feat_concat) 2025-08-14T22:06:36.7257024Z 2025-08-14T22:06:36.7257134Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:06:36.7257585Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 194, in forward 2025-08-14T22:06:36.7258026Z logits = self.prob_head(feat_concat) 2025-08-14T22:06:36.7258155Z 2025-08-14T22:06:36.7258262Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:06:36.7258726Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 194, in forward 2025-08-14T22:06:36.7259156Z logits = self.prob_head(feat_concat) 2025-08-14T22:06:36.7259292Z 2025-08-14T22:06:36.7259390Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:06:36.7259846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 194, in forward 2025-08-14T22:06:36.7260276Z logits = self.prob_head(feat_concat) 2025-08-14T22:06:36.7260411Z 2025-08-14T22:06:36.7260510Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:06:36.7260961Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 194, in forward 2025-08-14T22:06:36.7261393Z logits = self.prob_head(feat_concat) 2025-08-14T22:06:36.7261520Z 2025-08-14T22:06:36.7261626Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:06:36.7262088Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 194, in forward 2025-08-14T22:06:36.7262526Z logits = self.prob_head(feat_concat) 2025-08-14T22:06:36.7262653Z 2025-08-14T22:06:36.7262737Z cudagraph partition due to non gpu ops 2025-08-14T22:06:49.9301101Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:06:49.9301631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/core.py", line 95, in __call__ 2025-08-14T22:06:49.9302084Z for bmap in (proba_map >= self.bin_thresh).astype(np.uint8) 2025-08-14T22:06:49.9302276Z 2025-08-14T22:06:51.2753017Z Compilation time (from dynamo_timed): 31.839549772 2025-08-14T22:06:51.2753318Z pass 2025-08-14T22:06:51.2756198Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T22:06:51.2757359Z TIMING: _recursive_pre_grad_passes:0.04479 _recursive_joint_graph_passes:0.47305 inductor_compile:14.0245 backend_compile:22.5544 gc:0.00736 entire_frame_compile:31.83955 _recursive_post_grad_passes:0.06713 async_compile.wait:1.80517 code_gen:12.60226 total_wall_time:31.83955 2025-08-14T22:06:51.2758607Z STATS: call_* op count: 235 | FakeTensorMode.__torch_dispatch__:34283 | FakeTensor.__torch_dispatch__:3198 | ProxyTorchDispatchMode.__torch_dispatch__:7566 2025-08-14T22:06:51.2759154Z Dynamo produced 6 graphs covering 235 ops with 5 graph breaks (2 unique) 2025-08-14T22:06:56.1686166Z 2025-08-14T22:06:58.7666815Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:06:58.7667865Z loading model: 0it [00:02, ?it/s] 2025-08-14T22:06:58.7668326Z cpu eval doctr_reco_predictor 2025-08-14T22:06:58.9855030Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T22:06:59.0238257Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T22:06:59.0563431Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T22:07:04.5648933Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:04.5649524Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-08-14T22:07:04.5649961Z features = self.feat_extractor(x) 2025-08-14T22:07:04.5650117Z 2025-08-14T22:07:04.5650236Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:04.5650765Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-08-14T22:07:04.5651481Z features = self.feat_extractor(x) 2025-08-14T22:07:04.5651672Z 2025-08-14T22:07:04.5651790Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:04.5652253Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-08-14T22:07:04.5652788Z features = self.feat_extractor(x) 2025-08-14T22:07:04.5652934Z 2025-08-14T22:07:04.5653055Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:04.5653510Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-08-14T22:07:04.5654067Z features = self.feat_extractor(x) 2025-08-14T22:07:04.5654210Z 2025-08-14T22:07:04.5654325Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:04.5654797Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-08-14T22:07:04.5655301Z features = self.feat_extractor(x) 2025-08-14T22:07:04.5655443Z 2025-08-14T22:07:04.5655581Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:04.5656030Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-08-14T22:07:04.5656489Z features = self.feat_extractor(x) 2025-08-14T22:07:04.5656635Z 2025-08-14T22:07:04.5656740Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:04.5657187Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-08-14T22:07:04.5657606Z features = self.feat_extractor(x) 2025-08-14T22:07:04.5657757Z 2025-08-14T22:07:04.5657866Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:04.5658316Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-08-14T22:07:04.5658744Z features = self.feat_extractor(x) 2025-08-14T22:07:04.5658879Z 2025-08-14T22:07:04.5658984Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:04.5659428Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-08-14T22:07:04.5661262Z features = self.feat_extractor(x) 2025-08-14T22:07:04.5661399Z 2025-08-14T22:07:04.5661510Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:04.5661997Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-08-14T22:07:04.5662403Z features = self.feat_extractor(x) 2025-08-14T22:07:04.5662533Z 2025-08-14T22:07:04.5662656Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:04.5663050Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-08-14T22:07:04.5663429Z features = self.feat_extractor(x) 2025-08-14T22:07:04.5663569Z 2025-08-14T22:07:04.5663671Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:04.5664141Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-08-14T22:07:04.5664519Z features = self.feat_extractor(x) 2025-08-14T22:07:04.5664660Z 2025-08-14T22:07:04.5664765Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:04.5665200Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-08-14T22:07:04.5665612Z features = self.feat_extractor(x) 2025-08-14T22:07:04.5665742Z 2025-08-14T22:07:04.5665845Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:04.5666275Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-08-14T22:07:04.5666682Z features = self.feat_extractor(x) 2025-08-14T22:07:04.5666814Z 2025-08-14T22:07:04.5666949Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:04.5667379Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-08-14T22:07:04.5667747Z features = self.feat_extractor(x) 2025-08-14T22:07:04.5667878Z 2025-08-14T22:07:04.5667977Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:04.5668373Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-08-14T22:07:04.5668735Z features = self.feat_extractor(x) 2025-08-14T22:07:04.5668863Z 2025-08-14T22:07:04.5668960Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:04.5669372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-08-14T22:07:04.5669781Z features = self.feat_extractor(x) 2025-08-14T22:07:04.5669920Z 2025-08-14T22:07:04.5670028Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:04.5670484Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-08-14T22:07:04.5670907Z features = self.feat_extractor(x) 2025-08-14T22:07:04.5671046Z 2025-08-14T22:07:04.5671166Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:04.5671578Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-08-14T22:07:04.5671957Z features = self.feat_extractor(x) 2025-08-14T22:07:04.5672079Z 2025-08-14T22:07:04.5672184Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:04.5672578Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-08-14T22:07:04.5672963Z features = self.feat_extractor(x) 2025-08-14T22:07:04.5673095Z 2025-08-14T22:07:04.5673194Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:04.5673597Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-08-14T22:07:04.5673989Z features = self.feat_extractor(x) 2025-08-14T22:07:04.5674130Z 2025-08-14T22:07:04.5674326Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:04.5674753Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-08-14T22:07:04.5675164Z features = self.feat_extractor(x) 2025-08-14T22:07:04.5675296Z 2025-08-14T22:07:04.5675404Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:04.5675835Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-08-14T22:07:04.5676215Z features = self.feat_extractor(x) 2025-08-14T22:07:04.5676339Z 2025-08-14T22:07:04.5676437Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:04.5676844Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-08-14T22:07:04.5677228Z features = self.feat_extractor(x) 2025-08-14T22:07:04.5677352Z 2025-08-14T22:07:04.5677462Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:04.5677883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-08-14T22:07:04.5678296Z features = self.feat_extractor(x) 2025-08-14T22:07:04.5678428Z 2025-08-14T22:07:04.5678527Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:04.5678930Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-08-14T22:07:04.5679302Z features = self.feat_extractor(x) 2025-08-14T22:07:04.5679432Z 2025-08-14T22:07:04.5679531Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:04.5679930Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-08-14T22:07:04.5680330Z features = self.feat_extractor(x) 2025-08-14T22:07:04.5680462Z 2025-08-14T22:07:04.5680565Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:04.5680998Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-08-14T22:07:04.5681398Z features = self.feat_extractor(x) 2025-08-14T22:07:04.5681529Z 2025-08-14T22:07:04.5681632Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:04.5682066Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-08-14T22:07:04.5682473Z features = self.feat_extractor(x) 2025-08-14T22:07:04.5682603Z 2025-08-14T22:07:04.5682715Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:04.5683131Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-08-14T22:07:04.5683526Z features = self.feat_extractor(x) 2025-08-14T22:07:04.5683657Z 2025-08-14T22:07:04.5683771Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:04.5684191Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward 2025-08-14T22:07:04.5684563Z features = self.feat_extractor(x) 2025-08-14T22:07:04.5684692Z 2025-08-14T22:07:04.5684775Z cudagraph partition due to non gpu ops 2025-08-14T22:07:11.7780384Z E0814 22:07:11.776415 12511 site-packages/torch/fx/experimental/recording.py:315] [2/0] failed while running evaluate_expr(*(u0, None, u0, False, False, False, None), **{}) 2025-08-14T22:07:11.8526427Z E0814 22:07:11.851295 12511 site-packages/torch/fx/experimental/recording.py:315] [3/0] failed while running evaluate_expr(*(u0, None, u0, False, False, False, None), **{}) 2025-08-14T22:07:12.0096415Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:12.0097035Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 75, in ctc_best_path 2025-08-14T22:07:12.0097615Z probs = F.softmax(logits, dim=-1).max(dim=-1).values.min(dim=1).values 2025-08-14T22:07:12.0099033Z 2025-08-14T22:07:13.0371902Z Compilation time (from dynamo_timed): 12.848577051 2025-08-14T22:07:13.0372200Z pass 2025-08-14T22:07:13.0373025Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T22:07:13.0374198Z TIMING: _recursive_pre_grad_passes:0.01514 _recursive_joint_graph_passes:0.14399 inductor_compile:8.60041 backend_compile:10.50615 gc:0.00447 entire_frame_compile:12.84858 _recursive_post_grad_passes:0.03236 async_compile.wait:1.40818 code_gen:7.85007 total_wall_time:12.84858 2025-08-14T22:07:13.0375906Z STATS: call_* op count: 58 | FakeTensorMode.__torch_dispatch__:7331 | FakeTensor.__torch_dispatch__:545 | ProxyTorchDispatchMode.__torch_dispatch__:1557 2025-08-14T22:07:13.0382817Z Dynamo produced 3 graphs covering 58 ops with 4 graph breaks (3 unique) 2025-08-14T22:07:17.4282026Z 2025-08-14T22:07:17.4851488Z loading model: 0it [00:00, ?it/s]Gym has been unmaintained since 2022 and does not support NumPy 2.0 amongst other critical functionality. 2025-08-14T22:07:17.4852302Z Please upgrade to Gymnasium, the maintained drop-in replacement of Gym, or contact the authors of your software and request that they upgrade. 2025-08-14T22:07:17.4852970Z 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. 2025-08-14T22:07:17.4853658Z See the migration guide at https://gymnasium.farama.org/introduction/migration_guide/ for additional information. 2025-08-14T22:07:18.0791112Z 2025-08-14T22:07:18.0792031Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:07:18.0792351Z cpu eval drq 2025-08-14T22:07:18.0870088Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T22:07:18.0933031Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T22:07:18.0983772Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T22:07:20.9951929Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:20.9952461Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:07:20.9952841Z return mod(*inputs) 2025-08-14T22:07:20.9953138Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 99, in forward 2025-08-14T22:07:20.9953491Z mu, log_std = self.trunk(obs).chunk(2, dim=-1) 2025-08-14T22:07:20.9953659Z 2025-08-14T22:07:20.9953790Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:20.9954203Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:07:20.9954568Z return mod(*inputs) 2025-08-14T22:07:20.9954851Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward 2025-08-14T22:07:20.9955197Z obs = self.encoder(obs, detach=detach_encoder) 2025-08-14T22:07:20.9955566Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward 2025-08-14T22:07:20.9955876Z h = self.forward_conv(obs) 2025-08-14T22:07:20.9956180Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 43, in forward_conv 2025-08-14T22:07:20.9956563Z conv = torch.relu(self.convs[0](obs)) 2025-08-14T22:07:20.9956712Z 2025-08-14T22:07:20.9956829Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:20.9957266Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:07:20.9957615Z return mod(*inputs) 2025-08-14T22:07:20.9957882Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward 2025-08-14T22:07:20.9958201Z obs = self.encoder(obs, detach=detach_encoder) 2025-08-14T22:07:20.9958515Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward 2025-08-14T22:07:20.9958811Z h = self.forward_conv(obs) 2025-08-14T22:07:20.9959463Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 43, in forward_conv 2025-08-14T22:07:20.9959880Z conv = torch.relu(self.convs[0](obs)) 2025-08-14T22:07:20.9960029Z 2025-08-14T22:07:20.9960145Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:20.9960528Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:07:20.9960877Z return mod(*inputs) 2025-08-14T22:07:20.9961139Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward 2025-08-14T22:07:20.9961447Z obs = self.encoder(obs, detach=detach_encoder) 2025-08-14T22:07:20.9961756Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward 2025-08-14T22:07:20.9962046Z h = self.forward_conv(obs) 2025-08-14T22:07:20.9962337Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 47, in forward_conv 2025-08-14T22:07:20.9962649Z conv = torch.relu(self.convs[i](conv)) 2025-08-14T22:07:20.9962798Z 2025-08-14T22:07:20.9962913Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:20.9963356Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:07:20.9963698Z return mod(*inputs) 2025-08-14T22:07:20.9963961Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward 2025-08-14T22:07:20.9964364Z obs = self.encoder(obs, detach=detach_encoder) 2025-08-14T22:07:20.9964713Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward 2025-08-14T22:07:20.9965008Z h = self.forward_conv(obs) 2025-08-14T22:07:20.9965295Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 47, in forward_conv 2025-08-14T22:07:20.9965636Z conv = torch.relu(self.convs[i](conv)) 2025-08-14T22:07:20.9965780Z 2025-08-14T22:07:20.9965891Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:20.9966280Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:07:20.9966631Z return mod(*inputs) 2025-08-14T22:07:20.9966898Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward 2025-08-14T22:07:20.9967201Z obs = self.encoder(obs, detach=detach_encoder) 2025-08-14T22:07:20.9967505Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward 2025-08-14T22:07:20.9967797Z h = self.forward_conv(obs) 2025-08-14T22:07:20.9968077Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 47, in forward_conv 2025-08-14T22:07:20.9968400Z conv = torch.relu(self.convs[i](conv)) 2025-08-14T22:07:20.9968540Z 2025-08-14T22:07:20.9968660Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:20.9969059Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:07:20.9969412Z return mod(*inputs) 2025-08-14T22:07:20.9969675Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward 2025-08-14T22:07:20.9969997Z obs = self.encoder(obs, detach=detach_encoder) 2025-08-14T22:07:20.9970313Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward 2025-08-14T22:07:20.9970613Z h = self.forward_conv(obs) 2025-08-14T22:07:20.9970903Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 47, in forward_conv 2025-08-14T22:07:20.9971215Z conv = torch.relu(self.convs[i](conv)) 2025-08-14T22:07:20.9971363Z 2025-08-14T22:07:20.9971469Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:20.9971857Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:07:20.9972208Z return mod(*inputs) 2025-08-14T22:07:20.9972460Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward 2025-08-14T22:07:20.9972769Z obs = self.encoder(obs, detach=detach_encoder) 2025-08-14T22:07:20.9973079Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward 2025-08-14T22:07:20.9973367Z h = self.forward_conv(obs) 2025-08-14T22:07:20.9973713Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 47, in forward_conv 2025-08-14T22:07:20.9974154Z conv = torch.relu(self.convs[i](conv)) 2025-08-14T22:07:20.9974295Z 2025-08-14T22:07:20.9974411Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:20.9974780Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:07:20.9975119Z return mod(*inputs) 2025-08-14T22:07:20.9975374Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward 2025-08-14T22:07:20.9975687Z obs = self.encoder(obs, detach=detach_encoder) 2025-08-14T22:07:20.9975990Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward 2025-08-14T22:07:20.9976275Z h = self.forward_conv(obs) 2025-08-14T22:07:20.9976564Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 47, in forward_conv 2025-08-14T22:07:20.9976910Z conv = torch.relu(self.convs[i](conv)) 2025-08-14T22:07:20.9977049Z 2025-08-14T22:07:20.9977143Z cudagraph partition due to non gpu ops 2025-08-14T22:07:20.9977396Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:20.9977777Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:07:20.9978143Z return mod(*inputs) 2025-08-14T22:07:20.9978406Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward 2025-08-14T22:07:20.9978714Z obs = self.encoder(obs, detach=detach_encoder) 2025-08-14T22:07:20.9979031Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 61, in forward 2025-08-14T22:07:20.9979321Z out = self.head(h) 2025-08-14T22:07:20.9979432Z 2025-08-14T22:07:20.9979550Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:20.9979922Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:07:20.9980240Z return mod(*inputs) 2025-08-14T22:07:20.9980487Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward 2025-08-14T22:07:20.9980775Z obs = self.encoder(obs, detach=detach_encoder) 2025-08-14T22:07:20.9981082Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 61, in forward 2025-08-14T22:07:20.9981360Z out = self.head(h) 2025-08-14T22:07:20.9981477Z 2025-08-14T22:07:20.9981566Z cudagraph partition due to non gpu ops 2025-08-14T22:07:20.9981789Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:20.9982142Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:07:20.9982458Z return mod(*inputs) 2025-08-14T22:07:20.9982689Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 99, in forward 2025-08-14T22:07:20.9982977Z mu, log_std = self.trunk(obs).chunk(2, dim=-1) 2025-08-14T22:07:20.9983121Z 2025-08-14T22:07:20.9983226Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:20.9983575Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:07:20.9983886Z return mod(*inputs) 2025-08-14T22:07:20.9984130Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 99, in forward 2025-08-14T22:07:20.9984414Z mu, log_std = self.trunk(obs).chunk(2, dim=-1) 2025-08-14T22:07:20.9984554Z 2025-08-14T22:07:20.9984655Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:20.9985027Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:07:20.9985363Z return mod(*inputs) 2025-08-14T22:07:20.9985622Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 99, in forward 2025-08-14T22:07:20.9985919Z mu, log_std = self.trunk(obs).chunk(2, dim=-1) 2025-08-14T22:07:20.9986081Z 2025-08-14T22:07:20.9986189Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:20.9986571Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:07:20.9986930Z return mod(*inputs) 2025-08-14T22:07:20.9987246Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 99, in forward 2025-08-14T22:07:20.9987587Z mu, log_std = self.trunk(obs).chunk(2, dim=-1) 2025-08-14T22:07:20.9987728Z 2025-08-14T22:07:20.9987835Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:20.9988179Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:07:20.9988495Z return mod(*inputs) 2025-08-14T22:07:20.9988741Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 99, in forward 2025-08-14T22:07:20.9989018Z mu, log_std = self.trunk(obs).chunk(2, dim=-1) 2025-08-14T22:07:20.9989172Z 2025-08-14T22:07:20.9989277Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:20.9989649Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:07:20.9989985Z return mod(*inputs) 2025-08-14T22:07:20.9990234Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 99, in forward 2025-08-14T22:07:20.9990543Z mu, log_std = self.trunk(obs).chunk(2, dim=-1) 2025-08-14T22:07:20.9990692Z 2025-08-14T22:07:20.9990785Z cudagraph partition due to non gpu ops 2025-08-14T22:07:20.9991000Z cudagraph partition due to non gpu ops 2025-08-14T22:07:20.9991219Z cudagraph partition due to non gpu ops 2025-08-14T22:07:20.9991440Z cudagraph partition due to non gpu ops 2025-08-14T22:07:20.9991649Z cudagraph partition due to non gpu ops 2025-08-14T22:07:28.5644633Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:28.5651129Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:07:28.5652025Z return mod(*inputs) 2025-08-14T22:07:28.5652404Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 99, in forward 2025-08-14T22:07:28.5653060Z mu, log_std = self.trunk(obs).chunk(2, dim=-1) 2025-08-14T22:07:28.5653264Z 2025-08-14T22:07:28.5653413Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:28.5654268Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:07:28.5654797Z return mod(*inputs) 2025-08-14T22:07:28.5668575Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward 2025-08-14T22:07:28.5668914Z obs = self.encoder(obs, detach=detach_encoder) 2025-08-14T22:07:28.5669230Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward 2025-08-14T22:07:28.5669543Z h = self.forward_conv(obs) 2025-08-14T22:07:28.5669847Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 43, in forward_conv 2025-08-14T22:07:28.5670161Z conv = torch.relu(self.convs[0](obs)) 2025-08-14T22:07:28.5670322Z 2025-08-14T22:07:28.5670446Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:28.5670847Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:07:28.5671219Z return mod(*inputs) 2025-08-14T22:07:28.5671502Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward 2025-08-14T22:07:28.5671826Z obs = self.encoder(obs, detach=detach_encoder) 2025-08-14T22:07:28.5672145Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward 2025-08-14T22:07:28.5672416Z h = self.forward_conv(obs) 2025-08-14T22:07:28.5672705Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 43, in forward_conv 2025-08-14T22:07:28.5673018Z conv = torch.relu(self.convs[0](obs)) 2025-08-14T22:07:28.5673161Z 2025-08-14T22:07:28.5673285Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:28.5673675Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:07:28.5674033Z return mod(*inputs) 2025-08-14T22:07:28.5674306Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward 2025-08-14T22:07:28.5674666Z obs = self.encoder(obs, detach=detach_encoder) 2025-08-14T22:07:28.5674989Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward 2025-08-14T22:07:28.5675712Z h = self.forward_conv(obs) 2025-08-14T22:07:28.5676015Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 47, in forward_conv 2025-08-14T22:07:28.5676331Z conv = torch.relu(self.convs[i](conv)) 2025-08-14T22:07:28.5676485Z 2025-08-14T22:07:28.5676600Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:28.5676994Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:07:28.5677362Z return mod(*inputs) 2025-08-14T22:07:28.5677639Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward 2025-08-14T22:07:28.5677967Z obs = self.encoder(obs, detach=detach_encoder) 2025-08-14T22:07:28.5678286Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward 2025-08-14T22:07:28.5678575Z h = self.forward_conv(obs) 2025-08-14T22:07:28.5678876Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 47, in forward_conv 2025-08-14T22:07:28.5679211Z conv = torch.relu(self.convs[i](conv)) 2025-08-14T22:07:28.5679358Z 2025-08-14T22:07:28.5679470Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:28.5679860Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:07:28.5680232Z return mod(*inputs) 2025-08-14T22:07:28.5680497Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward 2025-08-14T22:07:28.5680807Z obs = self.encoder(obs, detach=detach_encoder) 2025-08-14T22:07:28.5681120Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward 2025-08-14T22:07:28.5681417Z h = self.forward_conv(obs) 2025-08-14T22:07:28.5681706Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 47, in forward_conv 2025-08-14T22:07:28.5682031Z conv = torch.relu(self.convs[i](conv)) 2025-08-14T22:07:28.5682174Z 2025-08-14T22:07:28.5682295Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:28.5682693Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:07:28.5683037Z return mod(*inputs) 2025-08-14T22:07:28.5683303Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward 2025-08-14T22:07:28.5683622Z obs = self.encoder(obs, detach=detach_encoder) 2025-08-14T22:07:28.5683929Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward 2025-08-14T22:07:28.5684221Z h = self.forward_conv(obs) 2025-08-14T22:07:28.5684516Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 47, in forward_conv 2025-08-14T22:07:28.5684828Z conv = torch.relu(self.convs[i](conv)) 2025-08-14T22:07:28.5684979Z 2025-08-14T22:07:28.5685089Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:28.5685476Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:07:28.5685825Z return mod(*inputs) 2025-08-14T22:07:28.5686088Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward 2025-08-14T22:07:28.5686410Z obs = self.encoder(obs, detach=detach_encoder) 2025-08-14T22:07:28.5686724Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward 2025-08-14T22:07:28.5687011Z h = self.forward_conv(obs) 2025-08-14T22:07:28.5687307Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 47, in forward_conv 2025-08-14T22:07:28.5687622Z conv = torch.relu(self.convs[i](conv)) 2025-08-14T22:07:28.5687780Z 2025-08-14T22:07:28.5687890Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:28.5688279Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:07:28.5688631Z return mod(*inputs) 2025-08-14T22:07:28.5688884Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward 2025-08-14T22:07:28.5689190Z obs = self.encoder(obs, detach=detach_encoder) 2025-08-14T22:07:28.5689487Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward 2025-08-14T22:07:28.5689853Z h = self.forward_conv(obs) 2025-08-14T22:07:28.5690146Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 47, in forward_conv 2025-08-14T22:07:28.5690457Z conv = torch.relu(self.convs[i](conv)) 2025-08-14T22:07:28.5690597Z 2025-08-14T22:07:28.5690694Z cudagraph partition due to non gpu ops 2025-08-14T22:07:28.5690941Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:28.5691318Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:07:28.5691669Z return mod(*inputs) 2025-08-14T22:07:28.5691926Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward 2025-08-14T22:07:28.5692240Z obs = self.encoder(obs, detach=detach_encoder) 2025-08-14T22:07:28.5692552Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 61, in forward 2025-08-14T22:07:28.5692840Z out = self.head(h) 2025-08-14T22:07:28.5692953Z 2025-08-14T22:07:28.5693071Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:28.5693460Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:07:28.5693834Z return mod(*inputs) 2025-08-14T22:07:28.5694200Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward 2025-08-14T22:07:28.5694524Z obs = self.encoder(obs, detach=detach_encoder) 2025-08-14T22:07:28.5694845Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 61, in forward 2025-08-14T22:07:28.5695131Z out = self.head(h) 2025-08-14T22:07:28.5695244Z 2025-08-14T22:07:28.5695333Z cudagraph partition due to non gpu ops 2025-08-14T22:07:28.5695605Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:28.5695982Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:07:28.5696314Z return mod(*inputs) 2025-08-14T22:07:28.5696575Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 99, in forward 2025-08-14T22:07:28.5696890Z mu, log_std = self.trunk(obs).chunk(2, dim=-1) 2025-08-14T22:07:28.5697043Z 2025-08-14T22:07:28.5697156Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:28.5697522Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:07:28.5697856Z return mod(*inputs) 2025-08-14T22:07:28.5698109Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 99, in forward 2025-08-14T22:07:28.5698407Z mu, log_std = self.trunk(obs).chunk(2, dim=-1) 2025-08-14T22:07:28.5698565Z 2025-08-14T22:07:28.5698671Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:28.5699046Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:07:28.5699385Z return mod(*inputs) 2025-08-14T22:07:28.5699632Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 99, in forward 2025-08-14T22:07:28.5699932Z mu, log_std = self.trunk(obs).chunk(2, dim=-1) 2025-08-14T22:07:28.5700093Z 2025-08-14T22:07:28.5700207Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:28.5700591Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:07:28.5700928Z return mod(*inputs) 2025-08-14T22:07:28.5701182Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 99, in forward 2025-08-14T22:07:28.5701475Z mu, log_std = self.trunk(obs).chunk(2, dim=-1) 2025-08-14T22:07:28.5701632Z 2025-08-14T22:07:28.5701736Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:28.5702107Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:07:28.5702442Z return mod(*inputs) 2025-08-14T22:07:28.5702692Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 99, in forward 2025-08-14T22:07:28.5702994Z mu, log_std = self.trunk(obs).chunk(2, dim=-1) 2025-08-14T22:07:28.5703143Z 2025-08-14T22:07:28.5703345Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:28.5703731Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:07:28.5704073Z return mod(*inputs) 2025-08-14T22:07:28.5704333Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 99, in forward 2025-08-14T22:07:28.5704645Z mu, log_std = self.trunk(obs).chunk(2, dim=-1) 2025-08-14T22:07:28.5704794Z 2025-08-14T22:07:28.5704878Z cudagraph partition due to non gpu ops 2025-08-14T22:07:28.5705104Z cudagraph partition due to non gpu ops 2025-08-14T22:07:28.5705328Z cudagraph partition due to non gpu ops 2025-08-14T22:07:28.5705542Z cudagraph partition due to non gpu ops 2025-08-14T22:07:28.5705760Z cudagraph partition due to non gpu ops 2025-08-14T22:07:28.8015092Z Compilation time (from dynamo_timed): 9.656358763 2025-08-14T22:07:28.8016861Z pass 2025-08-14T22:07:28.8026274Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T22:07:28.8027199Z TIMING: _recursive_pre_grad_passes:0.01189 _recursive_joint_graph_passes:0.14637 _recursive_post_grad_passes:0.03021 async_compile.wait:0.81037 code_gen:7.05423 inductor_compile:8.06849 backend_compile:8.94952 gc:0.00123 entire_frame_compile:9.65636 total_wall_time:9.65636 2025-08-14T22:07:28.8028327Z STATS: call_* op count: 62 | FakeTensor.__torch_dispatch__:435 | FakeTensorMode.__torch_dispatch__:3760 | ProxyTorchDispatchMode.__torch_dispatch__:879 2025-08-14T22:07:28.8028900Z Dynamo produced 2 graphs covering 62 ops with 0 graph breaks (0 unique) 2025-08-14T22:07:32.9780804Z 2025-08-14T22:07:34.2790542Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:07:34.2790909Z loading model: 0it [00:01, ?it/s] 2025-08-14T22:07:34.2791156Z cpu eval fastNLP_Bert 2025-08-14T22:07:35.6918719Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T22:07:35.9950665Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T22:07:36.2807129Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T22:07:37.3813144Z W0814 22:07:37.380058 13676 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] Graph break from `Tensor.item()`, consider setting: 2025-08-14T22:07:37.3813894Z W0814 22:07:37.380058 13676 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] torch._dynamo.config.capture_scalar_outputs = True 2025-08-14T22:07:37.3814790Z W0814 22:07:37.380058 13676 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] or: 2025-08-14T22:07:37.3815355Z W0814 22:07:37.380058 13676 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1 2025-08-14T22:07:37.3815983Z W0814 22:07:37.380058 13676 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] to include these operations in the captured graph. 2025-08-14T22:07:37.3816597Z W0814 22:07:37.380058 13676 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] 2025-08-14T22:07:37.3817097Z W0814 22:07:37.380058 13676 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] Graph break: from user code at: 2025-08-14T22:07:37.3817825Z W0814 22:07:37.380058 13676 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:07:37.3818517Z W0814 22:07:37.380058 13676 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] return mod(*inputs) 2025-08-14T22:07:37.3819224Z W0814 22:07:37.380058 13676 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 2025-08-14T22:07:37.3819941Z W0814 22:07:37.380058 13676 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] sequence_output = self.bert(words) 2025-08-14T22:07:37.3821093Z W0814 22:07:37.380058 13676 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 2025-08-14T22:07:37.3822038Z W0814 22:07:37.380058 13676 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] outputs = self.model(words) 2025-08-14T22:07:37.3822792Z W0814 22:07:37.380058 13676 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 2025-08-14T22:07:37.3827140Z W0814 22:07:37.380058 13676 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) 2025-08-14T22:07:37.3827768Z W0814 22:07:37.380058 13676 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] 2025-08-14T22:07:37.3828168Z W0814 22:07:37.380058 13676 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] 2025-08-14T22:07:38.6527111Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:38.6527709Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/embeddings/bert_embedding.py", line 445, in forward 2025-08-14T22:07:38.6528705Z max_word_piece_length = batch_word_pieces_length.sum(dim=-1).max().item() # 表示word piece的长度(包括padding) 2025-08-14T22:07:38.6528992Z 2025-08-14T22:07:38.6529126Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:38.6529628Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/embeddings/bert_embedding.py", line 441, in forward 2025-08-14T22:07:38.6530425Z seq_len = word_mask.sum(dim=-1) 2025-08-14T22:07:38.6530579Z 2025-08-14T22:07:54.9322656Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:54.9323313Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 512, in forward 2025-08-14T22:07:54.9323927Z embedding_output = self.embeddings(input_ids, token_type_ids) 2025-08-14T22:07:54.9324596Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 242, in forward 2025-08-14T22:07:54.9325965Z embeddings = words_embeddings + position_embeddings + token_type_embeddings 2025-08-14T22:07:54.9326271Z 2025-08-14T22:07:54.9326384Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9326619Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9326852Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9327074Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9327300Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9327569Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9327819Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9328045Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9328260Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9328486Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9328722Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9329031Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9329304Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:54.9330013Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T22:07:54.9330470Z encoded_layers = self.encoder(embedding_output, 2025-08-14T22:07:54.9330888Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T22:07:54.9331341Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T22:07:54.9331789Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-08-14T22:07:54.9332254Z intermediate_output = self.intermediate(attention_output) 2025-08-14T22:07:54.9332716Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward 2025-08-14T22:07:54.9333651Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-08-14T22:07:54.9334560Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu 2025-08-14T22:07:54.9334982Z return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0))) 2025-08-14T22:07:54.9335162Z 2025-08-14T22:07:54.9335252Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9335487Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9335712Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9335937Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9336162Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9336386Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9336600Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9336820Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9337042Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9337254Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9337484Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9337705Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9337918Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9338140Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9338391Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:54.9338802Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T22:07:54.9339211Z encoded_layers = self.encoder(embedding_output, 2025-08-14T22:07:54.9339612Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T22:07:54.9340029Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T22:07:54.9340459Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-08-14T22:07:54.9340881Z intermediate_output = self.intermediate(attention_output) 2025-08-14T22:07:54.9341308Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward 2025-08-14T22:07:54.9341722Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-08-14T22:07:54.9342154Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu 2025-08-14T22:07:54.9342592Z return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0))) 2025-08-14T22:07:54.9342758Z 2025-08-14T22:07:54.9342848Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9343066Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9343283Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9343503Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9343752Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9343966Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9344170Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9344383Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9344610Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9344823Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9345047Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9345275Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9345496Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9345719Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9345975Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:54.9346397Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T22:07:54.9346812Z encoded_layers = self.encoder(embedding_output, 2025-08-14T22:07:54.9347214Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T22:07:54.9347646Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T22:07:54.9348138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-08-14T22:07:54.9348640Z intermediate_output = self.intermediate(attention_output) 2025-08-14T22:07:54.9349083Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward 2025-08-14T22:07:54.9349512Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-08-14T22:07:54.9349937Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu 2025-08-14T22:07:54.9350396Z return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0))) 2025-08-14T22:07:54.9350562Z 2025-08-14T22:07:54.9350655Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9350877Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9351101Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9351328Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9351551Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9351775Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9351995Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9352215Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9352427Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9352647Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9352871Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9353087Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9353310Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9353531Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9353776Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:54.9354196Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T22:07:54.9354606Z encoded_layers = self.encoder(embedding_output, 2025-08-14T22:07:54.9355019Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T22:07:54.9355456Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T22:07:54.9355893Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-08-14T22:07:54.9356327Z intermediate_output = self.intermediate(attention_output) 2025-08-14T22:07:54.9356758Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward 2025-08-14T22:07:54.9357172Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-08-14T22:07:54.9357590Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu 2025-08-14T22:07:54.9357998Z return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0))) 2025-08-14T22:07:54.9358159Z 2025-08-14T22:07:54.9358243Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9358469Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9358694Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9358920Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9359134Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9359354Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9359575Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9359789Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9360011Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9360235Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9360446Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9360666Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9360888Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9361101Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9361358Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:54.9361780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T22:07:54.9362298Z encoded_layers = self.encoder(embedding_output, 2025-08-14T22:07:54.9362705Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T22:07:54.9363142Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T22:07:54.9363583Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-08-14T22:07:54.9364019Z intermediate_output = self.intermediate(attention_output) 2025-08-14T22:07:54.9364449Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward 2025-08-14T22:07:54.9364876Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-08-14T22:07:54.9365301Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu 2025-08-14T22:07:54.9365703Z return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0))) 2025-08-14T22:07:54.9365875Z 2025-08-14T22:07:54.9365970Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9366206Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9366432Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9366649Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9366878Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9367103Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9367317Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9367540Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9367761Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9367977Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9368204Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9368429Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9368647Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9368873Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9369124Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:54.9369560Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T22:07:54.9369968Z encoded_layers = self.encoder(embedding_output, 2025-08-14T22:07:54.9370380Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T22:07:54.9370822Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T22:07:54.9371246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-08-14T22:07:54.9371682Z intermediate_output = self.intermediate(attention_output) 2025-08-14T22:07:54.9372114Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward 2025-08-14T22:07:54.9372539Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-08-14T22:07:54.9372950Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu 2025-08-14T22:07:54.9373364Z return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0))) 2025-08-14T22:07:54.9373537Z 2025-08-14T22:07:54.9373623Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9373845Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9374170Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9374403Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9374630Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9374849Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9375078Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9375300Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9375514Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9375736Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9375961Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9376176Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9376399Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9376753Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9377015Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:54.9377433Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T22:07:54.9377852Z encoded_layers = self.encoder(embedding_output, 2025-08-14T22:07:54.9378264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T22:07:54.9378697Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T22:07:54.9379127Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-08-14T22:07:54.9379567Z intermediate_output = self.intermediate(attention_output) 2025-08-14T22:07:54.9380019Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward 2025-08-14T22:07:54.9380441Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-08-14T22:07:54.9380842Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu 2025-08-14T22:07:54.9381242Z return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0))) 2025-08-14T22:07:54.9381405Z 2025-08-14T22:07:54.9381487Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9381707Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9381925Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9382187Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9382410Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9382638Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9382856Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9383073Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9383296Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9383513Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9383745Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9383967Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9384175Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9384392Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9384637Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:54.9385056Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T22:07:54.9385477Z encoded_layers = self.encoder(embedding_output, 2025-08-14T22:07:54.9385885Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T22:07:54.9386318Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T22:07:54.9386738Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-08-14T22:07:54.9387172Z intermediate_output = self.intermediate(attention_output) 2025-08-14T22:07:54.9387610Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward 2025-08-14T22:07:54.9388042Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-08-14T22:07:54.9388495Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu 2025-08-14T22:07:54.9388904Z return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0))) 2025-08-14T22:07:54.9389062Z 2025-08-14T22:07:54.9389154Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9389367Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9389582Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9389810Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9390023Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9390248Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9390473Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9390699Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9391001Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9391227Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9391446Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9391660Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9391881Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9392101Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9392357Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:54.9392808Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T22:07:54.9393221Z encoded_layers = self.encoder(embedding_output, 2025-08-14T22:07:54.9393615Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T22:07:54.9394021Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T22:07:54.9394434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-08-14T22:07:54.9394859Z intermediate_output = self.intermediate(attention_output) 2025-08-14T22:07:54.9395283Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward 2025-08-14T22:07:54.9395712Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-08-14T22:07:54.9396114Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu 2025-08-14T22:07:54.9396515Z return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0))) 2025-08-14T22:07:54.9396682Z 2025-08-14T22:07:54.9396768Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9397004Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9397223Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9397430Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9397763Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9398002Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9398221Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9398437Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9398661Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9398892Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9399099Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9399320Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9399539Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9399751Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9400001Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:54.9400426Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T22:07:54.9400843Z encoded_layers = self.encoder(embedding_output, 2025-08-14T22:07:54.9401243Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T22:07:54.9401680Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T22:07:54.9402107Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-08-14T22:07:54.9402540Z intermediate_output = self.intermediate(attention_output) 2025-08-14T22:07:54.9402973Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward 2025-08-14T22:07:54.9403400Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-08-14T22:07:54.9403816Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu 2025-08-14T22:07:54.9404214Z return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0))) 2025-08-14T22:07:54.9404385Z 2025-08-14T22:07:54.9404468Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9404694Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9404961Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9405220Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9405441Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9405660Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9405874Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9406098Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9406325Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9406538Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9406760Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9406988Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9407204Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9407423Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9407679Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:54.9408095Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T22:07:54.9408513Z encoded_layers = self.encoder(embedding_output, 2025-08-14T22:07:54.9408918Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T22:07:54.9409350Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T22:07:54.9409770Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-08-14T22:07:54.9410205Z intermediate_output = self.intermediate(attention_output) 2025-08-14T22:07:54.9410653Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward 2025-08-14T22:07:54.9411081Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-08-14T22:07:54.9411503Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu 2025-08-14T22:07:54.9411911Z return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0))) 2025-08-14T22:07:54.9412083Z 2025-08-14T22:07:54.9412175Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9412392Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9412615Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9412837Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9413060Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9413271Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9413491Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9413708Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9413920Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9414225Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9414452Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9414664Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9414884Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9415104Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9415351Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:54.9415776Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-08-14T22:07:54.9416187Z encoded_layers = self.encoder(embedding_output, 2025-08-14T22:07:54.9416596Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-08-14T22:07:54.9417017Z hidden_states = layer_module(hidden_states, attention_mask) 2025-08-14T22:07:54.9417441Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-08-14T22:07:54.9417874Z intermediate_output = self.intermediate(attention_output) 2025-08-14T22:07:54.9418299Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward 2025-08-14T22:07:54.9418714Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-08-14T22:07:54.9419185Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu 2025-08-14T22:07:54.9419632Z return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0))) 2025-08-14T22:07:54.9419796Z 2025-08-14T22:07:54.9419881Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9420107Z cudagraph partition due to non gpu ops 2025-08-14T22:07:54.9420364Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:54.9420778Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 518, in forward 2025-08-14T22:07:54.9421171Z pooled_output = self.pooler(sequence_output) 2025-08-14T22:07:54.9421567Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 404, in forward 2025-08-14T22:07:54.9421963Z pooled_output = self.dense(first_token_tensor) 2025-08-14T22:07:54.9422119Z 2025-08-14T22:07:54.9422230Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:54.9422637Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 518, in forward 2025-08-14T22:07:54.9423034Z pooled_output = self.pooler(sequence_output) 2025-08-14T22:07:54.9423435Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 405, in forward 2025-08-14T22:07:54.9423846Z pooled_output = self.activation(pooled_output) 2025-08-14T22:07:54.9424010Z 2025-08-14T22:07:54.9424117Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:54.9424520Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 518, in forward 2025-08-14T22:07:54.9424914Z pooled_output = self.pooler(sequence_output) 2025-08-14T22:07:54.9425304Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 405, in forward 2025-08-14T22:07:54.9425714Z pooled_output = self.activation(pooled_output) 2025-08-14T22:07:54.9425876Z 2025-08-14T22:07:57.7623873Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:57.7628231Z 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 2025-08-14T22:07:57.7628893Z return self.dropout(outputs) 2025-08-14T22:07:57.7629299Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/embeddings/embedding.py", line 160, in dropout 2025-08-14T22:07:57.7629701Z return self.dropout_layer(words) 2025-08-14T22:07:57.7630121Z 2025-08-14T22:07:58.4816141Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:58.4816760Z 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 2025-08-14T22:07:58.4817311Z logits = self.qa_outputs(sequence_output) # [batch_size, seq_len, num_labels] 2025-08-14T22:07:58.4817566Z 2025-08-14T22:07:58.4817694Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:58.4818208Z 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 2025-08-14T22:07:58.4818759Z logits = self.qa_outputs(sequence_output) # [batch_size, seq_len, num_labels] 2025-08-14T22:07:58.4818983Z 2025-08-14T22:07:58.4819072Z cudagraph partition due to non gpu ops 2025-08-14T22:07:58.4819308Z cudagraph partition due to non gpu ops 2025-08-14T22:07:59.2683313Z Compilation time (from dynamo_timed): 21.677979835 2025-08-14T22:07:59.2683631Z pass 2025-08-14T22:07:59.2683949Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T22:07:59.2684821Z TIMING: _recursive_pre_grad_passes:0.04943 _recursive_joint_graph_passes:0.58944 inductor_compile:12.46887 backend_compile:18.52799 gc:0.01016 entire_frame_compile:21.67798 _recursive_post_grad_passes:0.08282 async_compile.wait:2.4427 code_gen:10.6218 total_wall_time:21.67798 2025-08-14T22:07:59.2686289Z STATS: call_* op count: 444 | FakeTensorMode.__torch_dispatch__:29776 | ProxyTorchDispatchMode.__torch_dispatch__:8783 | FakeTensor.__torch_dispatch__:3440 2025-08-14T22:07:59.2686963Z Dynamo produced 6 graphs covering 444 ops with 4 graph breaks (1 unique) 2025-08-14T22:08:03.8820341Z 2025-08-14T22:08:04.2792922Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:08:04.2793259Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:08:04.2793502Z cpu eval functorch_dp_cifar10 2025-08-14T22:08:04.3194370Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T22:08:04.3429178Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T22:08:04.3649283Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T22:08:10.1916536Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:08:10.1917788Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:08:10.1918241Z return mod(*inputs) 2025-08-14T22:08:10.1918638Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T22:08:10.1919041Z return self._forward_impl(x) 2025-08-14T22:08:10.1919427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 268, in _forward_impl 2025-08-14T22:08:10.1919802Z x = self.conv1(x) 2025-08-14T22:08:10.1919923Z 2025-08-14T22:08:10.1920038Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:08:10.1920504Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:08:10.1920868Z return mod(*inputs) 2025-08-14T22:08:10.1921215Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T22:08:10.1921590Z return self._forward_impl(x) 2025-08-14T22:08:10.1921975Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 268, in _forward_impl 2025-08-14T22:08:10.1922351Z x = self.conv1(x) 2025-08-14T22:08:10.1922464Z 2025-08-14T22:08:10.1922580Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:08:10.1922974Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:08:10.1923318Z return mod(*inputs) 2025-08-14T22:08:10.1923663Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T22:08:10.1924167Z return self._forward_impl(x) 2025-08-14T22:08:10.1924539Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 268, in _forward_impl 2025-08-14T22:08:10.1924912Z x = self.conv1(x) 2025-08-14T22:08:10.1925011Z 2025-08-14T22:08:10.1925125Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:08:10.1925518Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:08:10.1925851Z return mod(*inputs) 2025-08-14T22:08:10.1926172Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T22:08:10.1926509Z return self._forward_impl(x) 2025-08-14T22:08:10.1926856Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 270, in _forward_impl 2025-08-14T22:08:10.1927210Z x = self.relu(x) 2025-08-14T22:08:10.1927308Z 2025-08-14T22:08:10.1927415Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:08:10.1927765Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:08:10.1928117Z return mod(*inputs) 2025-08-14T22:08:10.1928461Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T22:08:10.1928833Z return self._forward_impl(x) 2025-08-14T22:08:10.1929653Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 271, in _forward_impl 2025-08-14T22:08:10.1930587Z x = self.maxpool(x) 2025-08-14T22:08:10.1930699Z 2025-08-14T22:08:10.1930820Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:08:10.1931207Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:08:10.1931551Z return mod(*inputs) 2025-08-14T22:08:10.1931892Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T22:08:10.1932253Z return self._forward_impl(x) 2025-08-14T22:08:10.1932627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-08-14T22:08:10.1933011Z x = self.layer1(x) 2025-08-14T22:08:10.1933351Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward 2025-08-14T22:08:10.1933710Z out = self.conv1(x) 2025-08-14T22:08:10.1933838Z 2025-08-14T22:08:10.1934182Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:08:10.1934592Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:08:10.1934950Z return mod(*inputs) 2025-08-14T22:08:10.1935311Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T22:08:10.1935696Z return self._forward_impl(x) 2025-08-14T22:08:10.1936053Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-08-14T22:08:10.1936412Z x = self.layer1(x) 2025-08-14T22:08:10.1936735Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward 2025-08-14T22:08:10.1937080Z out = self.conv1(x) 2025-08-14T22:08:10.1937179Z 2025-08-14T22:08:10.1937280Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:08:10.1937653Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:08:10.1937985Z return mod(*inputs) 2025-08-14T22:08:10.1938305Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T22:08:10.1938649Z return self._forward_impl(x) 2025-08-14T22:08:10.1939003Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-08-14T22:08:10.1939385Z x = self.layer1(x) 2025-08-14T22:08:10.1939712Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 94, in forward 2025-08-14T22:08:10.1940086Z out = self.relu(out) 2025-08-14T22:08:10.1940200Z 2025-08-14T22:08:10.1940318Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:08:10.1940702Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:08:10.1941041Z return mod(*inputs) 2025-08-14T22:08:10.1941392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T22:08:10.1941774Z return self._forward_impl(x) 2025-08-14T22:08:10.1942125Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-08-14T22:08:10.1942486Z x = self.layer1(x) 2025-08-14T22:08:10.1942806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward 2025-08-14T22:08:10.1943162Z out = self.conv2(out) 2025-08-14T22:08:10.1943284Z 2025-08-14T22:08:10.1943393Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:08:10.1943780Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:08:10.1944125Z return mod(*inputs) 2025-08-14T22:08:10.1944456Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T22:08:10.1944989Z return self._forward_impl(x) 2025-08-14T22:08:10.1945360Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-08-14T22:08:10.1945717Z x = self.layer1(x) 2025-08-14T22:08:10.1946024Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward 2025-08-14T22:08:10.1946378Z out = self.conv2(out) 2025-08-14T22:08:10.1946493Z 2025-08-14T22:08:10.1946611Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:08:10.1946985Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:08:10.1947332Z return mod(*inputs) 2025-08-14T22:08:10.1947671Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T22:08:10.1948051Z return self._forward_impl(x) 2025-08-14T22:08:10.1948418Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-08-14T22:08:10.1948801Z x = self.layer1(x) 2025-08-14T22:08:10.1949137Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 103, in forward 2025-08-14T22:08:10.1949496Z out = self.relu(out) 2025-08-14T22:08:10.1949616Z 2025-08-14T22:08:10.1949725Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:08:10.1950107Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:08:10.1950446Z return mod(*inputs) 2025-08-14T22:08:10.1950770Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T22:08:10.1951134Z return self._forward_impl(x) 2025-08-14T22:08:10.1951502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-08-14T22:08:10.1952575Z x = self.layer1(x) 2025-08-14T22:08:10.1952937Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward 2025-08-14T22:08:10.1953302Z out = self.conv1(x) 2025-08-14T22:08:10.1953410Z 2025-08-14T22:08:10.1953529Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:08:10.1953914Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:08:10.1954268Z return mod(*inputs) 2025-08-14T22:08:10.1954621Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T22:08:10.1954978Z return self._forward_impl(x) 2025-08-14T22:08:10.1955348Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-08-14T22:08:10.1955718Z x = self.layer1(x) 2025-08-14T22:08:10.1956046Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward 2025-08-14T22:08:10.1956400Z out = self.conv1(x) 2025-08-14T22:08:10.1956511Z 2025-08-14T22:08:10.1956618Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:08:10.1956992Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:08:10.1957326Z return mod(*inputs) 2025-08-14T22:08:10.1957652Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T22:08:10.1957992Z return self._forward_impl(x) 2025-08-14T22:08:10.1958353Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-08-14T22:08:10.1958722Z x = self.layer1(x) 2025-08-14T22:08:10.1959035Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 94, in forward 2025-08-14T22:08:10.1959379Z out = self.relu(out) 2025-08-14T22:08:10.1959488Z 2025-08-14T22:08:10.1959595Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:08:10.1960212Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:08:10.1960539Z return mod(*inputs) 2025-08-14T22:08:10.1960859Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T22:08:10.1961198Z return self._forward_impl(x) 2025-08-14T22:08:10.1961546Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-08-14T22:08:10.1961899Z x = self.layer1(x) 2025-08-14T22:08:10.1962204Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward 2025-08-14T22:08:10.1962544Z out = self.conv2(out) 2025-08-14T22:08:10.1962661Z 2025-08-14T22:08:10.1962764Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:08:10.1963178Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:08:10.1963535Z return mod(*inputs) 2025-08-14T22:08:10.1963888Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T22:08:10.1964275Z return self._forward_impl(x) 2025-08-14T22:08:10.1964653Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-08-14T22:08:10.1965062Z x = self.layer1(x) 2025-08-14T22:08:10.1965394Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward 2025-08-14T22:08:10.1965760Z out = self.conv2(out) 2025-08-14T22:08:10.1965874Z 2025-08-14T22:08:10.1965979Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:08:10.1966364Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:08:10.1966728Z return mod(*inputs) 2025-08-14T22:08:10.1967063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T22:08:10.1967442Z return self._forward_impl(x) 2025-08-14T22:08:10.1967817Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-08-14T22:08:10.1968209Z x = self.layer1(x) 2025-08-14T22:08:10.1968537Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 103, in forward 2025-08-14T22:08:10.1968904Z out = self.relu(out) 2025-08-14T22:08:10.1969015Z 2025-08-14T22:08:10.1969129Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:08:10.1969514Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:08:10.1969868Z return mod(*inputs) 2025-08-14T22:08:10.1970216Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T22:08:10.1970601Z return self._forward_impl(x) 2025-08-14T22:08:10.1970976Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-08-14T22:08:10.1971373Z x = self.layer2(x) 2025-08-14T22:08:10.1971709Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward 2025-08-14T22:08:10.1972092Z out = self.conv1(x) 2025-08-14T22:08:10.1972200Z 2025-08-14T22:08:10.1972312Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:08:10.1972723Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:08:10.1973097Z return mod(*inputs) 2025-08-14T22:08:10.1973441Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T22:08:10.1973823Z return self._forward_impl(x) 2025-08-14T22:08:10.1974292Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-08-14T22:08:10.1974775Z x = self.layer2(x) 2025-08-14T22:08:10.1975110Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward 2025-08-14T22:08:10.1975480Z out = self.conv1(x) 2025-08-14T22:08:10.1975589Z 2025-08-14T22:08:10.1975709Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:08:10.1976093Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:08:10.1976493Z return mod(*inputs) 2025-08-14T22:08:10.1976836Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T22:08:10.1977212Z return self._forward_impl(x) 2025-08-14T22:08:10.1977585Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-08-14T22:08:10.1977966Z x = self.layer2(x) 2025-08-14T22:08:10.1978307Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 94, in forward 2025-08-14T22:08:10.1978674Z out = self.relu(out) 2025-08-14T22:08:10.1978793Z 2025-08-14T22:08:10.1978904Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:08:10.1979303Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:08:10.1979655Z return mod(*inputs) 2025-08-14T22:08:10.1979988Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T22:08:10.1980363Z return self._forward_impl(x) 2025-08-14T22:08:10.1980743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-08-14T22:08:10.1981127Z x = self.layer2(x) 2025-08-14T22:08:10.1981463Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward 2025-08-14T22:08:10.1981843Z out = self.conv2(out) 2025-08-14T22:08:10.1981960Z 2025-08-14T22:08:10.1982084Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:08:10.1982462Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:08:10.1982826Z return mod(*inputs) 2025-08-14T22:08:10.1983184Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T22:08:10.1983552Z return self._forward_impl(x) 2025-08-14T22:08:10.1983935Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-08-14T22:08:10.1984323Z x = self.layer2(x) 2025-08-14T22:08:10.1984658Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward 2025-08-14T22:08:10.1985030Z out = self.conv2(out) 2025-08-14T22:08:10.1985150Z 2025-08-14T22:08:10.1985261Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:08:10.1985656Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:08:10.1986003Z return mod(*inputs) 2025-08-14T22:08:10.1986346Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T22:08:10.1986692Z return self._forward_impl(x) 2025-08-14T22:08:10.1987055Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-08-14T22:08:10.1987431Z x = self.layer2(x) 2025-08-14T22:08:10.1987774Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 100, in forward 2025-08-14T22:08:10.1988170Z identity = self.downsample(x) 2025-08-14T22:08:10.1988307Z 2025-08-14T22:08:10.1988418Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:08:10.1988806Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:08:10.1989172Z return mod(*inputs) 2025-08-14T22:08:10.1989586Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T22:08:10.1989945Z return self._forward_impl(x) 2025-08-14T22:08:10.1990308Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-08-14T22:08:10.1990689Z x = self.layer2(x) 2025-08-14T22:08:10.1991021Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 100, in forward 2025-08-14T22:08:10.1991404Z identity = self.downsample(x) 2025-08-14T22:08:10.1991549Z 2025-08-14T22:08:10.1991662Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:08:10.1992051Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:08:10.1992395Z return mod(*inputs) 2025-08-14T22:08:10.1992745Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T22:08:10.1993132Z return self._forward_impl(x) 2025-08-14T22:08:10.1993500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-08-14T22:08:10.1993856Z x = self.layer2(x) 2025-08-14T22:08:10.1994171Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 103, in forward 2025-08-14T22:08:10.1994518Z out = self.relu(out) 2025-08-14T22:08:10.1994629Z 2025-08-14T22:08:10.1994757Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:08:10.1995139Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:08:10.1995483Z return mod(*inputs) 2025-08-14T22:08:10.1995807Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T22:08:10.1996176Z return self._forward_impl(x) 2025-08-14T22:08:10.1996550Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-08-14T22:08:10.1996928Z x = self.layer2(x) 2025-08-14T22:08:10.1997252Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward 2025-08-14T22:08:10.1997611Z out = self.conv1(x) 2025-08-14T22:08:10.1997716Z 2025-08-14T22:08:10.1997830Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:08:10.1998201Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:08:10.1998541Z return mod(*inputs) 2025-08-14T22:08:10.1998877Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T22:08:10.1999239Z return self._forward_impl(x) 2025-08-14T22:08:10.1999598Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-08-14T22:08:10.1999970Z x = self.layer2(x) 2025-08-14T22:08:10.2000308Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward 2025-08-14T22:08:10.2000669Z out = self.conv1(x) 2025-08-14T22:08:10.2000793Z 2025-08-14T22:08:10.2000899Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:08:10.2001275Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:08:10.2001621Z return mod(*inputs) 2025-08-14T22:08:10.2001957Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T22:08:10.2002339Z return self._forward_impl(x) 2025-08-14T22:08:10.2002709Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-08-14T22:08:10.2003094Z x = self.layer2(x) 2025-08-14T22:08:10.2003435Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 94, in forward 2025-08-14T22:08:10.2003811Z out = self.relu(out) 2025-08-14T22:08:10.2004001Z 2025-08-14T22:08:10.2004119Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:08:10.2004500Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:08:10.2004846Z return mod(*inputs) 2025-08-14T22:08:10.2005185Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T22:08:10.2005557Z return self._forward_impl(x) 2025-08-14T22:08:10.2005930Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-08-14T22:08:10.2006313Z x = self.layer2(x) 2025-08-14T22:08:10.2006648Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward 2025-08-14T22:08:10.2007016Z out = self.conv2(out) 2025-08-14T22:08:10.2007141Z 2025-08-14T22:08:10.2007249Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:08:10.2007643Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:08:10.2007992Z return mod(*inputs) 2025-08-14T22:08:10.2008324Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T22:08:10.2008699Z return self._forward_impl(x) 2025-08-14T22:08:10.2009072Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-08-14T22:08:10.2009456Z x = self.layer2(x) 2025-08-14T22:08:10.2009792Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward 2025-08-14T22:08:10.2010167Z out = self.conv2(out) 2025-08-14T22:08:10.2010281Z 2025-08-14T22:08:10.2010397Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:08:10.2010775Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:08:10.2011129Z return mod(*inputs) 2025-08-14T22:08:10.2011473Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T22:08:10.2011838Z return self._forward_impl(x) 2025-08-14T22:08:10.2012214Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-08-14T22:08:10.2012596Z x = self.layer2(x) 2025-08-14T22:08:10.2012935Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 103, in forward 2025-08-14T22:08:10.2013298Z out = self.relu(out) 2025-08-14T22:08:10.2013419Z 2025-08-14T22:08:10.2013531Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:08:10.2013918Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:08:10.2014361Z return mod(*inputs) 2025-08-14T22:08:10.2014714Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T22:08:10.2015104Z return self._forward_impl(x) 2025-08-14T22:08:10.2015473Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-08-14T22:08:10.2015841Z x = self.layer3(x) 2025-08-14T22:08:10.2016171Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward 2025-08-14T22:08:10.2016530Z out = self.conv1(x) 2025-08-14T22:08:10.2016635Z 2025-08-14T22:08:10.2016744Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:08:10.2017124Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:08:10.2017460Z return mod(*inputs) 2025-08-14T22:08:10.2017792Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T22:08:10.2018151Z return self._forward_impl(x) 2025-08-14T22:08:10.2018578Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-08-14T22:08:10.2018988Z x = self.layer3(x) 2025-08-14T22:08:10.2019307Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward 2025-08-14T22:08:10.2019661Z out = self.conv1(x) 2025-08-14T22:08:10.2019768Z 2025-08-14T22:08:10.2019884Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:08:10.2020261Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:08:10.2020596Z return mod(*inputs) 2025-08-14T22:08:10.2020931Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T22:08:10.2021298Z return self._forward_impl(x) 2025-08-14T22:08:10.2021657Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-08-14T22:08:10.2022029Z x = self.layer3(x) 2025-08-14T22:08:10.2022357Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 94, in forward 2025-08-14T22:08:10.2022708Z out = self.relu(out) 2025-08-14T22:08:10.2022819Z 2025-08-14T22:08:10.2022926Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:08:10.2023299Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:08:10.2023632Z return mod(*inputs) 2025-08-14T22:08:10.2023956Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T22:08:10.2024332Z return self._forward_impl(x) 2025-08-14T22:08:10.2024696Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-08-14T22:08:10.2025075Z x = self.layer3(x) 2025-08-14T22:08:10.2025393Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward 2025-08-14T22:08:10.2025748Z out = self.conv2(out) 2025-08-14T22:08:10.2025855Z 2025-08-14T22:08:10.2025964Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:08:10.2026312Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:08:10.2026636Z return mod(*inputs) 2025-08-14T22:08:10.2026959Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T22:08:10.2027322Z return self._forward_impl(x) 2025-08-14T22:08:10.2027682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-08-14T22:08:10.2028097Z x = self.layer3(x) 2025-08-14T22:08:10.2028431Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward 2025-08-14T22:08:10.2028802Z out = self.conv2(out) 2025-08-14T22:08:10.2028929Z 2025-08-14T22:08:10.2029041Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:08:10.2029435Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:08:10.2029939Z return mod(*inputs) 2025-08-14T22:08:10.2030281Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T22:08:10.2030654Z return self._forward_impl(x) 2025-08-14T22:08:10.2031034Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-08-14T22:08:10.2031423Z x = self.layer3(x) 2025-08-14T22:08:10.2031765Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 100, in forward 2025-08-14T22:08:10.2032145Z identity = self.downsample(x) 2025-08-14T22:08:10.2032279Z 2025-08-14T22:08:10.2032397Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:08:10.2032865Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:08:10.2033274Z return mod(*inputs) 2025-08-14T22:08:10.2033612Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T22:08:10.2033973Z return self._forward_impl(x) 2025-08-14T22:08:10.2034340Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-08-14T22:08:10.2034714Z x = self.layer3(x) 2025-08-14T22:08:10.2035042Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 100, in forward 2025-08-14T22:08:10.2035400Z identity = self.downsample(x) 2025-08-14T22:08:10.2035539Z 2025-08-14T22:08:10.2035647Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:08:10.2036023Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:08:10.2036356Z return mod(*inputs) 2025-08-14T22:08:10.2036690Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T22:08:10.2037054Z return self._forward_impl(x) 2025-08-14T22:08:10.2037419Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-08-14T22:08:10.2037780Z x = self.layer3(x) 2025-08-14T22:08:10.2038115Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 103, in forward 2025-08-14T22:08:10.2038469Z out = self.relu(out) 2025-08-14T22:08:10.2038579Z 2025-08-14T22:08:10.2038685Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:08:10.2039059Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:08:10.2039396Z return mod(*inputs) 2025-08-14T22:08:10.2039723Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T22:08:10.2040076Z return self._forward_impl(x) 2025-08-14T22:08:10.2040447Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-08-14T22:08:10.2040817Z x = self.layer3(x) 2025-08-14T22:08:10.2041137Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward 2025-08-14T22:08:10.2041490Z out = self.conv1(x) 2025-08-14T22:08:10.2041604Z 2025-08-14T22:08:10.2041710Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:08:10.2042083Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:08:10.2042413Z return mod(*inputs) 2025-08-14T22:08:10.2042743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T22:08:10.2043105Z return self._forward_impl(x) 2025-08-14T22:08:10.2043463Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-08-14T22:08:10.2043838Z x = self.layer3(x) 2025-08-14T22:08:10.2044164Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward 2025-08-14T22:08:10.2044531Z out = self.conv1(x) 2025-08-14T22:08:10.2044633Z 2025-08-14T22:08:10.2044740Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:08:10.2045119Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:08:10.2045455Z return mod(*inputs) 2025-08-14T22:08:10.2045781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T22:08:10.2046157Z return self._forward_impl(x) 2025-08-14T22:08:10.2046523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-08-14T22:08:10.2046903Z x = self.layer3(x) 2025-08-14T22:08:10.2047937Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 94, in forward 2025-08-14T22:08:10.2048349Z out = self.relu(out) 2025-08-14T22:08:10.2048459Z 2025-08-14T22:08:10.2048574Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:08:10.2048960Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:08:10.2049301Z return mod(*inputs) 2025-08-14T22:08:10.2049633Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T22:08:10.2050008Z return self._forward_impl(x) 2025-08-14T22:08:10.2050371Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-08-14T22:08:10.2050750Z x = self.layer3(x) 2025-08-14T22:08:10.2051080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward 2025-08-14T22:08:10.2051452Z out = self.conv2(out) 2025-08-14T22:08:10.2051570Z 2025-08-14T22:08:10.2051680Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:08:10.2052071Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:08:10.2052439Z return mod(*inputs) 2025-08-14T22:08:10.2052778Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T22:08:10.2053157Z return self._forward_impl(x) 2025-08-14T22:08:10.2053539Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-08-14T22:08:10.2053924Z x = self.layer3(x) 2025-08-14T22:08:10.2054353Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward 2025-08-14T22:08:10.2054728Z out = self.conv2(out) 2025-08-14T22:08:10.2054848Z 2025-08-14T22:08:10.2054966Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:08:10.2055365Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:08:10.2055714Z return mod(*inputs) 2025-08-14T22:08:10.2056049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T22:08:10.2056414Z return self._forward_impl(x) 2025-08-14T22:08:10.2056778Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-08-14T22:08:10.2057160Z x = self.layer3(x) 2025-08-14T22:08:10.2057466Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 103, in forward 2025-08-14T22:08:10.2057795Z out = self.relu(out) 2025-08-14T22:08:10.2057910Z 2025-08-14T22:08:10.2058010Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:08:10.2058358Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:08:10.2058672Z return mod(*inputs) 2025-08-14T22:08:10.2058978Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T22:08:10.2059322Z return self._forward_impl(x) 2025-08-14T22:08:10.2059673Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-08-14T22:08:10.2060020Z x = self.layer4(x) 2025-08-14T22:08:10.2060333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward 2025-08-14T22:08:10.2060675Z out = self.conv1(x) 2025-08-14T22:08:10.2060786Z 2025-08-14T22:08:10.2060893Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:08:10.2061235Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:08:10.2061553Z return mod(*inputs) 2025-08-14T22:08:10.2061862Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T22:08:10.2062263Z return self._forward_impl(x) 2025-08-14T22:08:10.2062606Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-08-14T22:08:10.2062950Z x = self.layer4(x) 2025-08-14T22:08:10.2063258Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward 2025-08-14T22:08:10.2063588Z out = self.conv1(x) 2025-08-14T22:08:10.2063693Z 2025-08-14T22:08:10.2063795Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:08:10.2064155Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:08:10.2064485Z return mod(*inputs) 2025-08-14T22:08:10.2064829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T22:08:10.2065210Z return self._forward_impl(x) 2025-08-14T22:08:10.2065579Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-08-14T22:08:10.2065946Z x = self.layer4(x) 2025-08-14T22:08:10.2066276Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 94, in forward 2025-08-14T22:08:10.2066626Z out = self.relu(out) 2025-08-14T22:08:10.2066728Z 2025-08-14T22:08:10.2066826Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:08:10.2067177Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:08:10.2067487Z return mod(*inputs) 2025-08-14T22:08:10.2067796Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T22:08:10.2068133Z return self._forward_impl(x) 2025-08-14T22:08:10.2068481Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-08-14T22:08:10.2068839Z x = self.layer4(x) 2025-08-14T22:08:10.2069149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward 2025-08-14T22:08:10.2069490Z out = self.conv2(out) 2025-08-14T22:08:10.2069613Z 2025-08-14T22:08:10.2069713Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:08:10.2070061Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:08:10.2070362Z return mod(*inputs) 2025-08-14T22:08:10.2070668Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T22:08:10.2071005Z return self._forward_impl(x) 2025-08-14T22:08:10.2071339Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-08-14T22:08:10.2071726Z x = self.layer4(x) 2025-08-14T22:08:10.2072055Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward 2025-08-14T22:08:10.2072415Z out = self.conv2(out) 2025-08-14T22:08:10.2072533Z 2025-08-14T22:08:10.2072643Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:08:10.2073025Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:08:10.2073362Z return mod(*inputs) 2025-08-14T22:08:10.2073685Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T22:08:10.2074050Z return self._forward_impl(x) 2025-08-14T22:08:10.2074418Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-08-14T22:08:10.2074797Z x = self.layer4(x) 2025-08-14T22:08:10.2075133Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 100, in forward 2025-08-14T22:08:10.2075504Z identity = self.downsample(x) 2025-08-14T22:08:10.2075637Z 2025-08-14T22:08:10.2075753Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:08:10.2076218Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:08:10.2076558Z return mod(*inputs) 2025-08-14T22:08:10.2076898Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T22:08:10.2077274Z return self._forward_impl(x) 2025-08-14T22:08:10.2077636Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-08-14T22:08:10.2078020Z x = self.layer4(x) 2025-08-14T22:08:10.2078363Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 100, in forward 2025-08-14T22:08:10.2078743Z identity = self.downsample(x) 2025-08-14T22:08:10.2078889Z 2025-08-14T22:08:10.2079001Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:08:10.2079390Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:08:10.2079804Z return mod(*inputs) 2025-08-14T22:08:10.2080136Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T22:08:10.2080509Z return self._forward_impl(x) 2025-08-14T22:08:10.2080875Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-08-14T22:08:10.2081249Z x = self.layer4(x) 2025-08-14T22:08:10.2081583Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 103, in forward 2025-08-14T22:08:10.2081945Z out = self.relu(out) 2025-08-14T22:08:10.2082054Z 2025-08-14T22:08:10.2082170Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:08:10.2082543Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:08:10.2082892Z return mod(*inputs) 2025-08-14T22:08:10.2083238Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T22:08:10.2083612Z return self._forward_impl(x) 2025-08-14T22:08:10.2083981Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-08-14T22:08:10.2084357Z x = self.layer4(x) 2025-08-14T22:08:10.2084694Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward 2025-08-14T22:08:10.2085011Z out = self.conv1(x) 2025-08-14T22:08:10.2085115Z 2025-08-14T22:08:10.2085214Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:08:10.2085572Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:08:10.2085899Z return mod(*inputs) 2025-08-14T22:08:10.2086200Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T22:08:10.2086536Z return self._forward_impl(x) 2025-08-14T22:08:10.2086879Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-08-14T22:08:10.2087213Z x = self.layer4(x) 2025-08-14T22:08:10.2087512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward 2025-08-14T22:08:10.2087835Z out = self.conv1(x) 2025-08-14T22:08:10.2087931Z 2025-08-14T22:08:10.2088035Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:08:10.2088378Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:08:10.2088698Z return mod(*inputs) 2025-08-14T22:08:10.2089023Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T22:08:10.2089379Z return self._forward_impl(x) 2025-08-14T22:08:10.2089753Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-08-14T22:08:10.2090209Z x = self.layer4(x) 2025-08-14T22:08:10.2090545Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 94, in forward 2025-08-14T22:08:10.2090916Z out = self.relu(out) 2025-08-14T22:08:10.2091036Z 2025-08-14T22:08:10.2091148Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:08:10.2091540Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:08:10.2091874Z return mod(*inputs) 2025-08-14T22:08:10.2092205Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T22:08:10.2092572Z return self._forward_impl(x) 2025-08-14T22:08:10.2092937Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-08-14T22:08:10.2093306Z x = self.layer4(x) 2025-08-14T22:08:10.2093635Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward 2025-08-14T22:08:10.2094090Z out = self.conv2(out) 2025-08-14T22:08:10.2094216Z 2025-08-14T22:08:10.2094327Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:08:10.2094708Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:08:10.2095050Z return mod(*inputs) 2025-08-14T22:08:10.2095391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T22:08:10.2095720Z return self._forward_impl(x) 2025-08-14T22:08:10.2096061Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-08-14T22:08:10.2096411Z x = self.layer4(x) 2025-08-14T22:08:10.2096712Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward 2025-08-14T22:08:10.2097050Z out = self.conv2(out) 2025-08-14T22:08:10.2097166Z 2025-08-14T22:08:10.2097278Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:08:10.2097622Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:08:10.2097929Z return mod(*inputs) 2025-08-14T22:08:10.2098237Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-08-14T22:08:10.2098582Z return self._forward_impl(x) 2025-08-14T22:08:10.2098925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 278, in _forward_impl 2025-08-14T22:08:10.2099282Z x = self.avgpool(x) 2025-08-14T22:08:10.2099388Z 2025-08-14T22:08:10.2099473Z cudagraph partition due to non gpu ops 2025-08-14T22:08:10.2099717Z cudagraph partition due to non gpu ops 2025-08-14T22:08:19.2431049Z Compilation time (from dynamo_timed): 13.85645003 2025-08-14T22:08:19.2431359Z pass 2025-08-14T22:08:19.2439343Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T22:08:19.2440595Z TIMING: _recursive_pre_grad_passes:0.01231 _recursive_joint_graph_passes:0.40994 _recursive_post_grad_passes:0.06859 async_compile.wait:0.66648 code_gen:9.15511 inductor_compile:10.52745 backend_compile:12.93385 gc:0.00157 entire_frame_compile:13.85645 total_wall_time:13.85645 2025-08-14T22:08:19.2441941Z STATS: call_* op count: 71 | FakeTensorMode.__torch_dispatch__:10368 | FakeTensor.__torch_dispatch__:3199 | ProxyTorchDispatchMode.__torch_dispatch__:1703 2025-08-14T22:08:19.2442538Z Dynamo produced 1 graphs covering 71 ops with 0 graph breaks (0 unique) 2025-08-14T22:08:23.4709271Z 2025-08-14T22:08:23.6730280Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:08:23.6730599Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:08:23.6730842Z cpu eval functorch_maml_omniglot 2025-08-14T22:08:23.6774935Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T22:08:23.6825910Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T22:08:23.6858374Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T22:08:26.5412489Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:08:26.5413007Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:08:26.5413375Z return mod(*inputs) 2025-08-14T22:08:26.5413534Z 2025-08-14T22:08:26.5413652Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:08:26.5414269Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:08:26.5414649Z return mod(*inputs) 2025-08-14T22:08:26.5414777Z 2025-08-14T22:08:26.5414891Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:08:26.5415303Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:08:26.5415721Z return mod(*inputs) 2025-08-14T22:08:26.5415836Z 2025-08-14T22:08:26.5415947Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:08:26.5416437Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:08:26.5416868Z return mod(*inputs) 2025-08-14T22:08:26.5417004Z 2025-08-14T22:08:26.5417135Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:08:26.5417547Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:08:26.5417925Z return mod(*inputs) 2025-08-14T22:08:26.5418046Z 2025-08-14T22:08:26.5418164Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:08:26.5418577Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:08:26.5418946Z return mod(*inputs) 2025-08-14T22:08:26.5419072Z 2025-08-14T22:08:26.5419192Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:08:26.5419612Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:08:26.5419966Z return mod(*inputs) 2025-08-14T22:08:26.5420080Z 2025-08-14T22:08:26.5420200Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:08:26.5420628Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:08:26.5420996Z return mod(*inputs) 2025-08-14T22:08:26.5421112Z 2025-08-14T22:08:26.5421232Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:08:26.5421645Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:08:26.5422053Z return mod(*inputs) 2025-08-14T22:08:26.5422155Z 2025-08-14T22:08:26.5422259Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:08:26.5422634Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:08:26.5422981Z return mod(*inputs) 2025-08-14T22:08:26.5423086Z 2025-08-14T22:08:26.5423200Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:08:26.5423564Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:08:26.5423931Z return mod(*inputs) 2025-08-14T22:08:26.5424032Z 2025-08-14T22:08:26.5424144Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:08:26.5424509Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:08:26.5424845Z return mod(*inputs) 2025-08-14T22:08:26.5424954Z 2025-08-14T22:08:26.5425059Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:08:26.5425431Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:08:26.5425756Z return mod(*inputs) 2025-08-14T22:08:26.5425867Z 2025-08-14T22:08:26.5425972Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:08:26.5426827Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-08-14T22:08:26.5427165Z return mod(*inputs) 2025-08-14T22:08:26.5427275Z 2025-08-14T22:08:26.5427363Z cudagraph partition due to non gpu ops 2025-08-14T22:08:26.5427595Z cudagraph partition due to non gpu ops 2025-08-14T22:08:33.4449817Z Compilation time (from dynamo_timed): 8.779016105 2025-08-14T22:08:33.4450121Z pass 2025-08-14T22:08:33.4451015Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T22:08:33.4451948Z TIMING: _recursive_pre_grad_passes:0.00665 _recursive_joint_graph_passes:0.33507 _recursive_post_grad_passes:0.02515 async_compile.wait:0.70866 code_gen:6.88196 inductor_compile:7.62455 backend_compile:8.44143 gc:0.00125 entire_frame_compile:8.77902 total_wall_time:8.77902 2025-08-14T22:08:33.4453007Z STATS: call_* op count: 16 | FakeTensor.__torch_dispatch__:361 | FakeTensorMode.__torch_dispatch__:2155 | ProxyTorchDispatchMode.__torch_dispatch__:422 2025-08-14T22:08:33.4453575Z Dynamo produced 1 graphs covering 16 ops with 0 graph breaks (0 unique) 2025-08-14T22:08:37.5370294Z 2025-08-14T22:08:38.2365490Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:08:38.2365734Z 2025-08-14T22:08:38.2406720Z config.json: 0% 0.00/684 [00:00blqk", from_blocked_mask[:, 2:-2], exp_blocked_to_pad) 2025-08-14T22:11:12.1135013Z 2025-08-14T22:11:14.5715726Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:14.5716334Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 440, in forward 2025-08-14T22:11:14.5717144Z self.query(hidden_states) 2025-08-14T22:11:14.5717289Z 2025-08-14T22:11:14.5717435Z cudagraph partition due to non gpu ops 2025-08-14T22:11:14.5717676Z cudagraph partition due to non gpu ops 2025-08-14T22:11:14.5717902Z cudagraph partition due to non gpu ops 2025-08-14T22:11:14.5718114Z cudagraph partition due to non gpu ops 2025-08-14T22:11:14.5718336Z cudagraph partition due to non gpu ops 2025-08-14T22:11:14.5718556Z cudagraph partition due to non gpu ops 2025-08-14T22:11:19.1021617Z cudagraph partition due to non gpu ops 2025-08-14T22:11:19.1022054Z cudagraph partition due to non gpu ops 2025-08-14T22:11:19.1022292Z cudagraph partition due to non gpu ops 2025-08-14T22:11:19.1022613Z cudagraph partition due to non gpu ops 2025-08-14T22:11:19.1022965Z cudagraph partition due to non gpu ops 2025-08-14T22:11:19.1023260Z cudagraph partition due to non gpu ops 2025-08-14T22:11:19.1023553Z cudagraph partition due to non gpu ops 2025-08-14T22:11:19.1023842Z cudagraph partition due to non gpu ops 2025-08-14T22:11:19.1024125Z cudagraph partition due to non gpu ops 2025-08-14T22:11:19.1024445Z cudagraph partition due to non gpu ops 2025-08-14T22:11:19.1027647Z cudagraph partition due to non gpu ops 2025-08-14T22:11:19.1033443Z cudagraph partition due to non gpu ops 2025-08-14T22:11:19.1033787Z cudagraph partition due to non gpu ops 2025-08-14T22:11:19.1034029Z cudagraph partition due to non gpu ops 2025-08-14T22:11:19.1034263Z cudagraph partition due to non gpu ops 2025-08-14T22:11:19.1034544Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:19.1035213Z 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 2025-08-14T22:11:19.1035846Z to_mask.new_ones([bsz, 1, 1, n_rand_blocks * to_block_size]), 2025-08-14T22:11:19.1036039Z 2025-08-14T22:11:19.1036130Z cudagraph partition due to non gpu ops 2025-08-14T22:11:19.1036366Z cudagraph partition due to non gpu ops 2025-08-14T22:11:19.1036672Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:19.1037302Z 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 2025-08-14T22:11:19.1038024Z first_product = self.torch_bmm_nd_transpose(blocked_query_matrix[:, :, 0], key_layer, ndim=4) 2025-08-14T22:11:19.1038673Z 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 2025-08-14T22:11:19.1039256Z inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:]).transpose(1, 2) 2025-08-14T22:11:19.1039499Z 2025-08-14T22:11:19.1039585Z cudagraph partition due to non gpu ops 2025-08-14T22:11:19.1039817Z cudagraph partition due to non gpu ops 2025-08-14T22:11:19.1040070Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:19.1041036Z 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 2025-08-14T22:11:19.1041777Z second_product = self.torch_bmm_nd_transpose(blocked_query_matrix[:, :, 1], second_key_mat, ndim=4) 2025-08-14T22:11:19.1042407Z 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 2025-08-14T22:11:19.1042971Z inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:]).transpose(1, 2) 2025-08-14T22:11:19.1043208Z 2025-08-14T22:11:19.1043299Z cudagraph partition due to non gpu ops 2025-08-14T22:11:19.1043519Z cudagraph partition due to non gpu ops 2025-08-14T22:11:19.1043771Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:19.1044347Z 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 2025-08-14T22:11:19.1044964Z first_band_product = torch.einsum( 2025-08-14T22:11:19.1045117Z 2025-08-14T22:11:19.1045231Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:19.1045822Z 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 2025-08-14T22:11:19.1046389Z last_band_product = torch.einsum( 2025-08-14T22:11:19.1046539Z 2025-08-14T22:11:19.1046637Z cudagraph partition due to non gpu ops 2025-08-14T22:11:19.1046874Z cudagraph partition due to non gpu ops 2025-08-14T22:11:19.1047164Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:19.1047750Z 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 2025-08-14T22:11:19.1048473Z second_last_product = self.torch_bmm_nd_transpose(blocked_query_matrix[:, :, -2], second_last_key_mat, ndim=4) 2025-08-14T22:11:19.1049121Z 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 2025-08-14T22:11:19.1049697Z inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:]).transpose(1, 2) 2025-08-14T22:11:19.1049942Z 2025-08-14T22:11:19.1050039Z cudagraph partition due to non gpu ops 2025-08-14T22:11:19.1050265Z cudagraph partition due to non gpu ops 2025-08-14T22:11:19.1050526Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:19.1051113Z 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 2025-08-14T22:11:19.1051794Z last_product = self.torch_bmm_nd_transpose(blocked_query_matrix[:, :, -1], key_layer, ndim=4) 2025-08-14T22:11:19.1052396Z 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 2025-08-14T22:11:19.1052974Z inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:]).transpose(1, 2) 2025-08-14T22:11:19.1053231Z 2025-08-14T22:11:19.1053348Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:19.1053942Z 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 2025-08-14T22:11:19.1055007Z rand_mask.new_ones([bsz, n_heads, from_block_size, 4 * to_block_size]), 2025-08-14T22:11:19.1055232Z 2025-08-14T22:11:19.1055320Z cudagraph partition due to non gpu ops 2025-08-14T22:11:19.1055546Z cudagraph partition due to non gpu ops 2025-08-14T22:11:19.1055765Z cudagraph partition due to non gpu ops 2025-08-14T22:11:19.1055979Z cudagraph partition due to non gpu ops 2025-08-14T22:11:19.1056206Z cudagraph partition due to non gpu ops 2025-08-14T22:11:19.1056503Z cudagraph partition due to non gpu ops 2025-08-14T22:11:19.1056752Z cudagraph partition due to non gpu ops 2025-08-14T22:11:19.1057009Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:19.1057659Z 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 2025-08-14T22:11:19.1058351Z first_product = self.torch_bmm_nd_transpose(blocked_query_matrix[:, :, 0], key_layer, ndim=4) 2025-08-14T22:11:19.1058952Z 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 2025-08-14T22:11:19.1059542Z inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:]).transpose(1, 2) 2025-08-14T22:11:19.1059794Z 2025-08-14T22:11:19.1059913Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:19.1060549Z 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 2025-08-14T22:11:19.1061174Z first_context_layer = self.torch_bmm_nd(first_attn_weights, value_layer, ndim=4) 2025-08-14T22:11:19.1061711Z 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 2025-08-14T22:11:19.1062280Z return torch.bmm(inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:])).view( 2025-08-14T22:11:19.1062534Z 2025-08-14T22:11:19.1062653Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:19.1063232Z 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 2025-08-14T22:11:19.1063801Z rand_attn = np.stack(rand_attn, axis=0) 2025-08-14T22:11:19.1063950Z 2025-08-14T22:11:19.1070755Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:19.1071610Z 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 2025-08-14T22:11:19.1072186Z second_seq_pad = torch.cat( 2025-08-14T22:11:19.1072332Z 2025-08-14T22:11:19.1072453Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:19.1073038Z 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 2025-08-14T22:11:19.1073576Z second_last_seq_pad = torch.cat( 2025-08-14T22:11:19.1073710Z 2025-08-14T22:11:19.1073817Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:19.1074351Z 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 2025-08-14T22:11:19.1074939Z rand_attn = torch.cat([rand_attn for _ in range(batch_size)], dim=0) 2025-08-14T22:11:19.1075128Z 2025-08-14T22:11:19.1075248Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:19.1075810Z 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 2025-08-14T22:11:19.1076364Z rand_mask = self._create_rand_mask_from_inputs( 2025-08-14T22:11:19.1076869Z 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 2025-08-14T22:11:19.1077503Z rand_mask = torch.stack([p1[i1.flatten()] for p1, i1 in zip(to_blocked_mask, rand_attn)]) 2025-08-14T22:11:19.1078030Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 994, in 2025-08-14T22:11:19.1078713Z rand_mask = torch.stack([p1[i1.flatten()] for p1, i1 in zip(to_blocked_mask, rand_attn)]) 2025-08-14T22:11:19.1078942Z 2025-08-14T22:11:19.1079057Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:19.1079626Z 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 2025-08-14T22:11:19.1080186Z rand_mask = self._create_rand_mask_from_inputs( 2025-08-14T22:11:19.1080682Z 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 2025-08-14T22:11:19.1081237Z rand_mask = torch.stack([p1[i1.flatten()] for p1, i1 in zip(to_blocked_mask, rand_attn)]) 2025-08-14T22:11:19.1081756Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 994, in 2025-08-14T22:11:19.1082315Z rand_mask = torch.stack([p1[i1.flatten()] for p1, i1 in zip(to_blocked_mask, rand_attn)]) 2025-08-14T22:11:19.1082547Z 2025-08-14T22:11:19.1082667Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:19.1083244Z 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 2025-08-14T22:11:19.1083813Z rand_mask = self._create_rand_mask_from_inputs( 2025-08-14T22:11:19.1084300Z 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 2025-08-14T22:11:19.1084853Z rand_mask = torch.stack([p1[i1.flatten()] for p1, i1 in zip(to_blocked_mask, rand_attn)]) 2025-08-14T22:11:19.1085362Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 994, in 2025-08-14T22:11:19.1085879Z rand_mask = torch.stack([p1[i1.flatten()] for p1, i1 in zip(to_blocked_mask, rand_attn)]) 2025-08-14T22:11:19.1086102Z 2025-08-14T22:11:19.1086218Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:19.1086780Z 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 2025-08-14T22:11:19.1087330Z rand_mask = self._create_rand_mask_from_inputs( 2025-08-14T22:11:19.1087820Z 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 2025-08-14T22:11:19.1088374Z rand_mask = torch.stack([p1[i1.flatten()] for p1, i1 in zip(to_blocked_mask, rand_attn)]) 2025-08-14T22:11:19.1088885Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 994, in 2025-08-14T22:11:19.1089392Z rand_mask = torch.stack([p1[i1.flatten()] for p1, i1 in zip(to_blocked_mask, rand_attn)]) 2025-08-14T22:11:19.1089622Z 2025-08-14T22:11:19.1089729Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:19.1090288Z 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 2025-08-14T22:11:19.1090836Z rand_mask = self._create_rand_mask_from_inputs( 2025-08-14T22:11:19.1091311Z 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 2025-08-14T22:11:19.1091863Z rand_mask = torch.stack([p1[i1.flatten()] for p1, i1 in zip(to_blocked_mask, rand_attn)]) 2025-08-14T22:11:19.1092085Z 2025-08-14T22:11:19.1092183Z cudagraph partition due to non gpu ops 2025-08-14T22:11:19.1092407Z cudagraph partition due to non gpu ops 2025-08-14T22:11:19.1092659Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:19.1093311Z 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 2025-08-14T22:11:19.1093871Z second_key_mat = torch.cat( 2025-08-14T22:11:19.1094343Z 2025-08-14T22:11:19.1094467Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:19.1095046Z 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 2025-08-14T22:11:19.1095728Z second_product = self.torch_bmm_nd_transpose(blocked_query_matrix[:, :, 1], second_key_mat, ndim=4) 2025-08-14T22:11:19.1096335Z 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 2025-08-14T22:11:19.1096803Z return torch.bmm( 2025-08-14T22:11:19.1096944Z 2025-08-14T22:11:19.1097051Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:19.1097620Z 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 2025-08-14T22:11:19.1098165Z second_value_mat = torch.cat( 2025-08-14T22:11:19.1098298Z 2025-08-14T22:11:19.1098402Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:19.1098959Z 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 2025-08-14T22:11:19.1099493Z second_last_key_mat = torch.cat( 2025-08-14T22:11:19.1099629Z 2025-08-14T22:11:19.1099745Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:19.1100296Z 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 2025-08-14T22:11:19.1100983Z second_last_product = self.torch_bmm_nd_transpose(blocked_query_matrix[:, :, -2], second_last_key_mat, ndim=4) 2025-08-14T22:11:19.1101593Z 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 2025-08-14T22:11:19.1102055Z return torch.bmm( 2025-08-14T22:11:19.1102161Z 2025-08-14T22:11:19.1102268Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:19.1102845Z 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 2025-08-14T22:11:19.1103403Z second_last_value_mat = torch.cat( 2025-08-14T22:11:19.1103541Z 2025-08-14T22:11:19.1103653Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:19.1104252Z 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 2025-08-14T22:11:19.1104907Z first_product = self.torch_bmm_nd_transpose(blocked_query_matrix[:, :, 0], key_layer, ndim=4) 2025-08-14T22:11:19.1105497Z 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 2025-08-14T22:11:19.1105944Z return torch.bmm( 2025-08-14T22:11:19.1106045Z 2025-08-14T22:11:19.1106150Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:19.1106704Z 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 2025-08-14T22:11:19.1107335Z last_product = self.torch_bmm_nd_transpose(blocked_query_matrix[:, :, -1], key_layer, ndim=4) 2025-08-14T22:11:19.1108592Z 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 2025-08-14T22:11:19.1109056Z return torch.bmm( 2025-08-14T22:11:19.1109164Z 2025-08-14T22:11:19.1109268Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:19.1109848Z 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 2025-08-14T22:11:19.1110394Z second_rand_pad = torch.cat( 2025-08-14T22:11:19.1110538Z 2025-08-14T22:11:19.1110642Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:19.1111207Z 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 2025-08-14T22:11:19.1111711Z second_last_rand_pad = torch.cat( 2025-08-14T22:11:19.1111838Z 2025-08-14T22:11:19.1111971Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:19.1112501Z 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 2025-08-14T22:11:19.1113133Z second_context_layer = self.torch_bmm_nd(second_attn_weights, second_value_mat, ndim=4) 2025-08-14T22:11:19.1113670Z 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 2025-08-14T22:11:19.1114218Z return torch.bmm(inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:])).view( 2025-08-14T22:11:19.1114564Z 2025-08-14T22:11:19.1114679Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:19.1115236Z 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 2025-08-14T22:11:19.1115861Z second_last_context_layer = self.torch_bmm_nd(second_last_attn_weights, second_last_value_mat, ndim=4) 2025-08-14T22:11:19.1116394Z 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 2025-08-14T22:11:19.1116902Z return torch.bmm(inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:])).view( 2025-08-14T22:11:19.1117139Z 2025-08-14T22:11:19.1117239Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:19.1117775Z 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 2025-08-14T22:11:19.1118305Z exp_blocked_key_matrix = torch.cat( 2025-08-14T22:11:19.1118445Z 2025-08-14T22:11:19.1118551Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:19.1119111Z 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 2025-08-14T22:11:19.1119693Z exp_blocked_value_matrix = torch.cat( 2025-08-14T22:11:19.1119829Z 2025-08-14T22:11:19.1119918Z cudagraph partition due to non gpu ops 2025-08-14T22:11:19.1120127Z cudagraph partition due to non gpu ops 2025-08-14T22:11:19.1120361Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:19.1120881Z 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 2025-08-14T22:11:19.1121479Z first_context_layer = self.torch_bmm_nd(first_attn_weights, value_layer, ndim=4) 2025-08-14T22:11:19.1122016Z 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 2025-08-14T22:11:19.1122567Z return torch.bmm(inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:])).view( 2025-08-14T22:11:19.1122852Z 2025-08-14T22:11:19.1122975Z cudagraph partition due to non gpu ops 2025-08-14T22:11:19.1123233Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:19.1123794Z 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 2025-08-14T22:11:19.1124425Z last_context_layer = self.torch_bmm_nd(last_attn_weights, value_layer, ndim=4) 2025-08-14T22:11:19.1124958Z 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 2025-08-14T22:11:19.1125506Z return torch.bmm(inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:])).view( 2025-08-14T22:11:19.1125764Z 2025-08-14T22:11:19.1125849Z cudagraph partition due to non gpu ops 2025-08-14T22:11:19.1126105Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:19.1126864Z 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 2025-08-14T22:11:19.1127565Z inner_band_product = self.torch_bmm_nd_transpose(middle_query_matrix, exp_blocked_key_matrix, ndim=5) 2025-08-14T22:11:19.1128193Z 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 2025-08-14T22:11:19.1128669Z return torch.bmm( 2025-08-14T22:11:19.1128777Z 2025-08-14T22:11:19.1128896Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:19.1129489Z 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 2025-08-14T22:11:19.1130372Z inner_band_product += (1.0 - band_mask) * attn_mask_penalty 2025-08-14T22:11:19.1130569Z 2025-08-14T22:11:19.1130687Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:19.1131290Z 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 2025-08-14T22:11:19.1131837Z first_band_product = torch.einsum( 2025-08-14T22:11:19.1131990Z 2025-08-14T22:11:19.1132099Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:19.1132694Z 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 2025-08-14T22:11:19.1133267Z last_band_product = torch.einsum( 2025-08-14T22:11:19.1133411Z 2025-08-14T22:11:19.1133520Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:19.1134206Z 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 2025-08-14T22:11:19.1134901Z first_band_product += (1.0 - to_mask[:, :, :, :to_block_size].unsqueeze(3)) * attn_mask_penalty 2025-08-14T22:11:19.1135136Z 2025-08-14T22:11:19.1135254Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:19.1135895Z 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 2025-08-14T22:11:19.1136607Z last_band_product += (1.0 - to_mask[:, :, :, -to_block_size:].unsqueeze(3)) * attn_mask_penalty 2025-08-14T22:11:19.1136843Z 2025-08-14T22:11:19.1136953Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:19.1137530Z 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 2025-08-14T22:11:19.1138388Z rand_band_product = self.torch_bmm_nd_transpose(middle_query_matrix, gathered_key[:, :, 1:-1], ndim=5) 2025-08-14T22:11:19.1139040Z 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 2025-08-14T22:11:19.1139504Z return torch.bmm( 2025-08-14T22:11:19.1139609Z 2025-08-14T22:11:19.1139727Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:19.1140298Z 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 2025-08-14T22:11:19.1140910Z rand_band_product += (1.0 - rand_mask[:, :, 1:-1]) * attn_mask_penalty 2025-08-14T22:11:19.1141119Z 2025-08-14T22:11:19.1141228Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:19.1141817Z 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 2025-08-14T22:11:19.1142393Z band_product = torch.cat( 2025-08-14T22:11:19.1142532Z 2025-08-14T22:11:19.1142640Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:19.1143208Z 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 2025-08-14T22:11:19.1143749Z context_layer = self.torch_bmm_nd( 2025-08-14T22:11:19.1144185Z 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 2025-08-14T22:11:19.1144748Z return torch.bmm(inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:])).view( 2025-08-14T22:11:19.1144995Z 2025-08-14T22:11:19.1145107Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:19.1145665Z 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 2025-08-14T22:11:19.1146192Z context_layer += self.torch_bmm_nd( 2025-08-14T22:11:19.1146654Z 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 2025-08-14T22:11:19.1147194Z return torch.bmm(inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:])).view( 2025-08-14T22:11:19.1147439Z 2025-08-14T22:11:19.1147549Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:19.1148097Z 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 2025-08-14T22:11:19.1148621Z context_layer += torch.einsum( 2025-08-14T22:11:19.1148761Z 2025-08-14T22:11:19.1148868Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:19.1149394Z 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 2025-08-14T22:11:19.1149883Z context_layer += torch.einsum( 2025-08-14T22:11:19.1150013Z 2025-08-14T22:11:19.1150112Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:19.1150633Z 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 2025-08-14T22:11:19.1151132Z context_layer += torch.einsum( 2025-08-14T22:11:19.1151254Z 2025-08-14T22:11:19.1151354Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:19.1151876Z 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 2025-08-14T22:11:19.1152375Z context_layer = torch.cat( 2025-08-14T22:11:19.1152491Z 2025-08-14T22:11:19.1152660Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:19.1153187Z 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 2025-08-14T22:11:19.1153781Z context_layer = context_layer.view((bsz, n_heads, from_seq_len, -1)) * from_mask 2025-08-14T22:11:19.1153998Z 2025-08-14T22:11:24.8095564Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:24.8096219Z 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 2025-08-14T22:11:24.8096852Z context_layer = context_layer.contiguous().view(batch_size, from_seq_length, -1) 2025-08-14T22:11:24.8097098Z 2025-08-14T22:11:25.6945153Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:25.6946324Z 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 2025-08-14T22:11:25.6946921Z attention_output = self.output(self_outputs[0], hidden_states) 2025-08-14T22:11:25.6947417Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1295, in forward 2025-08-14T22:11:25.6947884Z hidden_states = self.dense(hidden_states) 2025-08-14T22:11:25.6948056Z 2025-08-14T22:11:25.6948151Z cudagraph partition due to non gpu ops 2025-08-14T22:11:25.6948387Z cudagraph partition due to non gpu ops 2025-08-14T22:11:26.8951397Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:26.8952105Z 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 2025-08-14T22:11:26.8952698Z layer_output = apply_chunking_to_forward( 2025-08-14T22:11:26.8953205Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-08-14T22:11:26.8953658Z return forward_fn(*input_tensors) 2025-08-14T22:11:26.8954110Z 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 2025-08-14T22:11:26.8954639Z intermediate_output = self.intermediate(attention_output) 2025-08-14T22:11:26.8955130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1401, in forward 2025-08-14T22:11:26.8955591Z hidden_states = self.dense(hidden_states) 2025-08-14T22:11:26.8955857Z 2025-08-14T22:11:26.8955957Z cudagraph partition due to non gpu ops 2025-08-14T22:11:26.8956190Z cudagraph partition due to non gpu ops 2025-08-14T22:11:26.8956489Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:26.8957026Z 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 2025-08-14T22:11:26.8957536Z layer_output = apply_chunking_to_forward( 2025-08-14T22:11:26.8958016Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-08-14T22:11:26.8958444Z return forward_fn(*input_tensors) 2025-08-14T22:11:26.8958907Z 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 2025-08-14T22:11:26.8959472Z intermediate_output = self.intermediate(attention_output) 2025-08-14T22:11:26.8959961Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1402, in forward 2025-08-14T22:11:26.8960448Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-08-14T22:11:26.8960869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward 2025-08-14T22:11:26.8961835Z return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0)))) 2025-08-14T22:11:26.8962089Z 2025-08-14T22:11:26.8962181Z cudagraph partition due to non gpu ops 2025-08-14T22:11:26.8962408Z cudagraph partition due to non gpu ops 2025-08-14T22:11:28.1073029Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:28.1073644Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 440, in forward 2025-08-14T22:11:28.1074102Z self.query(hidden_states) 2025-08-14T22:11:28.1074237Z 2025-08-14T22:11:28.1074330Z cudagraph partition due to non gpu ops 2025-08-14T22:11:28.1074565Z cudagraph partition due to non gpu ops 2025-08-14T22:11:28.1074869Z cudagraph partition due to non gpu ops 2025-08-14T22:11:28.1075103Z cudagraph partition due to non gpu ops 2025-08-14T22:11:28.1075723Z cudagraph partition due to non gpu ops 2025-08-14T22:11:28.1075951Z cudagraph partition due to non gpu ops 2025-08-14T22:11:29.2716274Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:29.2717080Z 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 2025-08-14T22:11:29.2720743Z attention_output = self.output(self_outputs[0], hidden_states) 2025-08-14T22:11:29.2723686Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1295, in forward 2025-08-14T22:11:29.2724185Z hidden_states = self.dense(hidden_states) 2025-08-14T22:11:29.2724340Z 2025-08-14T22:11:29.2724440Z cudagraph partition due to non gpu ops 2025-08-14T22:11:29.2724657Z cudagraph partition due to non gpu ops 2025-08-14T22:11:29.6290808Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:29.6291746Z 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 2025-08-14T22:11:29.6292483Z layer_output = apply_chunking_to_forward( 2025-08-14T22:11:29.6293238Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-08-14T22:11:29.6293702Z return forward_fn(*input_tensors) 2025-08-14T22:11:29.6294263Z 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 2025-08-14T22:11:29.6294811Z intermediate_output = self.intermediate(attention_output) 2025-08-14T22:11:29.6295290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1401, in forward 2025-08-14T22:11:29.6295738Z hidden_states = self.dense(hidden_states) 2025-08-14T22:11:29.6295902Z 2025-08-14T22:11:29.6296000Z cudagraph partition due to non gpu ops 2025-08-14T22:11:29.6296246Z cudagraph partition due to non gpu ops 2025-08-14T22:11:29.6296500Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:29.6297052Z 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 2025-08-14T22:11:29.6297572Z layer_output = apply_chunking_to_forward( 2025-08-14T22:11:29.6298020Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-08-14T22:11:29.6298468Z return forward_fn(*input_tensors) 2025-08-14T22:11:29.6298942Z 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 2025-08-14T22:11:29.6299478Z intermediate_output = self.intermediate(attention_output) 2025-08-14T22:11:29.6300026Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1402, in forward 2025-08-14T22:11:29.6300988Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-08-14T22:11:29.6301442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward 2025-08-14T22:11:29.6301978Z return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0)))) 2025-08-14T22:11:29.6302247Z 2025-08-14T22:11:29.6302333Z cudagraph partition due to non gpu ops 2025-08-14T22:11:29.6302582Z cudagraph partition due to non gpu ops 2025-08-14T22:11:30.0752777Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:30.0753430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 440, in forward 2025-08-14T22:11:30.0753888Z self.query(hidden_states) 2025-08-14T22:11:30.0754031Z 2025-08-14T22:11:30.0754129Z cudagraph partition due to non gpu ops 2025-08-14T22:11:30.0754727Z cudagraph partition due to non gpu ops 2025-08-14T22:11:30.0754974Z cudagraph partition due to non gpu ops 2025-08-14T22:11:30.0755234Z cudagraph partition due to non gpu ops 2025-08-14T22:11:30.0755563Z cudagraph partition due to non gpu ops 2025-08-14T22:11:30.0755849Z cudagraph partition due to non gpu ops 2025-08-14T22:11:31.1917416Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:31.1922330Z 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 2025-08-14T22:11:31.1923142Z attention_output = self.output(self_outputs[0], hidden_states) 2025-08-14T22:11:31.1927829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1295, in forward 2025-08-14T22:11:31.1930264Z hidden_states = self.dense(hidden_states) 2025-08-14T22:11:31.1930454Z 2025-08-14T22:11:31.1931204Z cudagraph partition due to non gpu ops 2025-08-14T22:11:31.1931572Z cudagraph partition due to non gpu ops 2025-08-14T22:11:31.5437073Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:31.5438019Z 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 2025-08-14T22:11:31.5438690Z layer_output = apply_chunking_to_forward( 2025-08-14T22:11:31.5440041Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-08-14T22:11:31.5440642Z return forward_fn(*input_tensors) 2025-08-14T22:11:31.5441148Z 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 2025-08-14T22:11:31.5441684Z intermediate_output = self.intermediate(attention_output) 2025-08-14T22:11:31.5442314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1401, in forward 2025-08-14T22:11:31.5442943Z hidden_states = self.dense(hidden_states) 2025-08-14T22:11:31.5443541Z 2025-08-14T22:11:31.5443911Z cudagraph partition due to non gpu ops 2025-08-14T22:11:31.5444249Z cudagraph partition due to non gpu ops 2025-08-14T22:11:31.5444520Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:31.5445104Z 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 2025-08-14T22:11:31.5445634Z layer_output = apply_chunking_to_forward( 2025-08-14T22:11:31.5446085Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-08-14T22:11:31.5446572Z return forward_fn(*input_tensors) 2025-08-14T22:11:31.5447032Z 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 2025-08-14T22:11:31.5447560Z intermediate_output = self.intermediate(attention_output) 2025-08-14T22:11:31.5448512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1402, in forward 2025-08-14T22:11:31.5449005Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-08-14T22:11:31.5449427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward 2025-08-14T22:11:31.5449928Z return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0)))) 2025-08-14T22:11:31.5450188Z 2025-08-14T22:11:31.5450289Z cudagraph partition due to non gpu ops 2025-08-14T22:11:31.5450522Z cudagraph partition due to non gpu ops 2025-08-14T22:11:31.9866766Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:31.9872399Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 440, in forward 2025-08-14T22:11:31.9873267Z self.query(hidden_states) 2025-08-14T22:11:31.9873433Z 2025-08-14T22:11:31.9873537Z cudagraph partition due to non gpu ops 2025-08-14T22:11:31.9873769Z cudagraph partition due to non gpu ops 2025-08-14T22:11:31.9873995Z cudagraph partition due to non gpu ops 2025-08-14T22:11:31.9874222Z cudagraph partition due to non gpu ops 2025-08-14T22:11:31.9874440Z cudagraph partition due to non gpu ops 2025-08-14T22:11:31.9874664Z cudagraph partition due to non gpu ops 2025-08-14T22:11:33.0716818Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:33.0717476Z 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 2025-08-14T22:11:33.0718048Z attention_output = self.output(self_outputs[0], hidden_states) 2025-08-14T22:11:33.0718578Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1295, in forward 2025-08-14T22:11:33.0719073Z hidden_states = self.dense(hidden_states) 2025-08-14T22:11:33.0719259Z 2025-08-14T22:11:33.0719366Z cudagraph partition due to non gpu ops 2025-08-14T22:11:33.0719611Z cudagraph partition due to non gpu ops 2025-08-14T22:11:33.4185657Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:33.4186264Z 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 2025-08-14T22:11:33.4186795Z layer_output = apply_chunking_to_forward( 2025-08-14T22:11:33.4187262Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-08-14T22:11:33.4187743Z return forward_fn(*input_tensors) 2025-08-14T22:11:33.4188176Z 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 2025-08-14T22:11:33.4188738Z intermediate_output = self.intermediate(attention_output) 2025-08-14T22:11:33.4189249Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1401, in forward 2025-08-14T22:11:33.4189765Z hidden_states = self.dense(hidden_states) 2025-08-14T22:11:33.4189920Z 2025-08-14T22:11:33.4190031Z cudagraph partition due to non gpu ops 2025-08-14T22:11:33.4190284Z cudagraph partition due to non gpu ops 2025-08-14T22:11:33.4190552Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:33.4191053Z 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 2025-08-14T22:11:33.4191555Z layer_output = apply_chunking_to_forward( 2025-08-14T22:11:33.4191956Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-08-14T22:11:33.4192360Z return forward_fn(*input_tensors) 2025-08-14T22:11:33.4193222Z 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 2025-08-14T22:11:33.4193722Z intermediate_output = self.intermediate(attention_output) 2025-08-14T22:11:33.4194172Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1402, in forward 2025-08-14T22:11:33.4194614Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-08-14T22:11:33.4195001Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward 2025-08-14T22:11:33.4195477Z return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0)))) 2025-08-14T22:11:33.4195738Z 2025-08-14T22:11:33.4195829Z cudagraph partition due to non gpu ops 2025-08-14T22:11:33.4196076Z cudagraph partition due to non gpu ops 2025-08-14T22:11:33.8556280Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:33.8560159Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 440, in forward 2025-08-14T22:11:33.8560717Z self.query(hidden_states) 2025-08-14T22:11:33.8563170Z 2025-08-14T22:11:33.8563669Z cudagraph partition due to non gpu ops 2025-08-14T22:11:33.8563989Z cudagraph partition due to non gpu ops 2025-08-14T22:11:33.8564227Z cudagraph partition due to non gpu ops 2025-08-14T22:11:33.8564453Z cudagraph partition due to non gpu ops 2025-08-14T22:11:33.8564686Z cudagraph partition due to non gpu ops 2025-08-14T22:11:33.8564914Z cudagraph partition due to non gpu ops 2025-08-14T22:11:35.4429103Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:35.4430008Z 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 2025-08-14T22:11:35.4430676Z attention_output = self.output(self_outputs[0], hidden_states) 2025-08-14T22:11:35.4431275Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1295, in forward 2025-08-14T22:11:35.4431736Z hidden_states = self.dense(hidden_states) 2025-08-14T22:11:35.4431896Z 2025-08-14T22:11:35.4431996Z cudagraph partition due to non gpu ops 2025-08-14T22:11:35.4432216Z cudagraph partition due to non gpu ops 2025-08-14T22:11:35.8016149Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:35.8017350Z 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 2025-08-14T22:11:35.8017969Z layer_output = apply_chunking_to_forward( 2025-08-14T22:11:35.8018449Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-08-14T22:11:35.8018937Z return forward_fn(*input_tensors) 2025-08-14T22:11:35.8019434Z 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 2025-08-14T22:11:35.8019968Z intermediate_output = self.intermediate(attention_output) 2025-08-14T22:11:35.8020471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1401, in forward 2025-08-14T22:11:35.8020978Z hidden_states = self.dense(hidden_states) 2025-08-14T22:11:35.8021150Z 2025-08-14T22:11:35.8021255Z cudagraph partition due to non gpu ops 2025-08-14T22:11:35.8021486Z cudagraph partition due to non gpu ops 2025-08-14T22:11:35.8021755Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:35.8022310Z 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 2025-08-14T22:11:35.8022830Z layer_output = apply_chunking_to_forward( 2025-08-14T22:11:35.8023667Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-08-14T22:11:35.8024212Z return forward_fn(*input_tensors) 2025-08-14T22:11:35.8024781Z 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 2025-08-14T22:11:35.8025298Z intermediate_output = self.intermediate(attention_output) 2025-08-14T22:11:35.8025777Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1402, in forward 2025-08-14T22:11:35.8026264Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-08-14T22:11:35.8026696Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward 2025-08-14T22:11:35.8027215Z return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0)))) 2025-08-14T22:11:35.8027534Z 2025-08-14T22:11:35.8027627Z cudagraph partition due to non gpu ops 2025-08-14T22:11:35.8027856Z cudagraph partition due to non gpu ops 2025-08-14T22:11:36.2463966Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:36.2464593Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 440, in forward 2025-08-14T22:11:36.2465071Z self.query(hidden_states) 2025-08-14T22:11:36.2465200Z 2025-08-14T22:11:36.2465297Z cudagraph partition due to non gpu ops 2025-08-14T22:11:36.2465511Z cudagraph partition due to non gpu ops 2025-08-14T22:11:36.2465757Z cudagraph partition due to non gpu ops 2025-08-14T22:11:36.2466003Z cudagraph partition due to non gpu ops 2025-08-14T22:11:36.2466207Z cudagraph partition due to non gpu ops 2025-08-14T22:11:36.2466434Z cudagraph partition due to non gpu ops 2025-08-14T22:11:37.3693796Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:37.3695565Z 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 2025-08-14T22:11:37.3696277Z attention_output = self.output(self_outputs[0], hidden_states) 2025-08-14T22:11:37.3696812Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1295, in forward 2025-08-14T22:11:37.3697274Z hidden_states = self.dense(hidden_states) 2025-08-14T22:11:37.3697434Z 2025-08-14T22:11:37.3697528Z cudagraph partition due to non gpu ops 2025-08-14T22:11:37.3697758Z cudagraph partition due to non gpu ops 2025-08-14T22:11:37.7325306Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:37.7326072Z 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 2025-08-14T22:11:37.7326663Z layer_output = apply_chunking_to_forward( 2025-08-14T22:11:37.7327185Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-08-14T22:11:37.7327653Z return forward_fn(*input_tensors) 2025-08-14T22:11:37.7328133Z 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 2025-08-14T22:11:37.7328652Z intermediate_output = self.intermediate(attention_output) 2025-08-14T22:11:37.7329145Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1401, in forward 2025-08-14T22:11:37.7329611Z hidden_states = self.dense(hidden_states) 2025-08-14T22:11:37.7329991Z 2025-08-14T22:11:37.7330098Z cudagraph partition due to non gpu ops 2025-08-14T22:11:37.7330338Z cudagraph partition due to non gpu ops 2025-08-14T22:11:37.7330600Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:37.7331565Z 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 2025-08-14T22:11:37.7332170Z layer_output = apply_chunking_to_forward( 2025-08-14T22:11:37.7332629Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-08-14T22:11:37.7333086Z return forward_fn(*input_tensors) 2025-08-14T22:11:37.7333556Z 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 2025-08-14T22:11:37.7334245Z intermediate_output = self.intermediate(attention_output) 2025-08-14T22:11:37.7334754Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1402, in forward 2025-08-14T22:11:37.7335292Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-08-14T22:11:37.7335798Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward 2025-08-14T22:11:37.7336323Z return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0)))) 2025-08-14T22:11:37.7336586Z 2025-08-14T22:11:37.7336674Z cudagraph partition due to non gpu ops 2025-08-14T22:11:37.7336906Z cudagraph partition due to non gpu ops 2025-08-14T22:11:38.1854512Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:38.1855144Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 440, in forward 2025-08-14T22:11:38.1855611Z self.query(hidden_states) 2025-08-14T22:11:38.1855743Z 2025-08-14T22:11:38.1855842Z cudagraph partition due to non gpu ops 2025-08-14T22:11:38.1856081Z cudagraph partition due to non gpu ops 2025-08-14T22:11:38.1856306Z cudagraph partition due to non gpu ops 2025-08-14T22:11:38.1856532Z cudagraph partition due to non gpu ops 2025-08-14T22:11:38.1856782Z cudagraph partition due to non gpu ops 2025-08-14T22:11:38.1857032Z cudagraph partition due to non gpu ops 2025-08-14T22:11:39.3048122Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:39.3048967Z 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 2025-08-14T22:11:39.3049756Z attention_output = self.output(self_outputs[0], hidden_states) 2025-08-14T22:11:39.3050682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1295, in forward 2025-08-14T22:11:39.3051156Z hidden_states = self.dense(hidden_states) 2025-08-14T22:11:39.3051325Z 2025-08-14T22:11:39.3051430Z cudagraph partition due to non gpu ops 2025-08-14T22:11:39.3051661Z cudagraph partition due to non gpu ops 2025-08-14T22:11:39.6688938Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:39.6689779Z 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 2025-08-14T22:11:39.6690378Z layer_output = apply_chunking_to_forward( 2025-08-14T22:11:39.6690852Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-08-14T22:11:39.6691313Z return forward_fn(*input_tensors) 2025-08-14T22:11:39.6691788Z 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 2025-08-14T22:11:39.6692329Z intermediate_output = self.intermediate(attention_output) 2025-08-14T22:11:39.6692834Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1401, in forward 2025-08-14T22:11:39.6693300Z hidden_states = self.dense(hidden_states) 2025-08-14T22:11:39.6693461Z 2025-08-14T22:11:39.6693557Z cudagraph partition due to non gpu ops 2025-08-14T22:11:39.6693792Z cudagraph partition due to non gpu ops 2025-08-14T22:11:39.6695052Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:39.6695589Z 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 2025-08-14T22:11:39.6696116Z layer_output = apply_chunking_to_forward( 2025-08-14T22:11:39.6696562Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-08-14T22:11:39.6697017Z return forward_fn(*input_tensors) 2025-08-14T22:11:39.6697476Z 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 2025-08-14T22:11:39.6698004Z intermediate_output = self.intermediate(attention_output) 2025-08-14T22:11:39.6698510Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1402, in forward 2025-08-14T22:11:39.6699071Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-08-14T22:11:39.6699493Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward 2025-08-14T22:11:39.6700006Z return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0)))) 2025-08-14T22:11:39.6700276Z 2025-08-14T22:11:39.6700363Z cudagraph partition due to non gpu ops 2025-08-14T22:11:39.6700598Z cudagraph partition due to non gpu ops 2025-08-14T22:11:40.1318866Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:40.1319691Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 440, in forward 2025-08-14T22:11:40.1320194Z self.query(hidden_states) 2025-08-14T22:11:40.1320943Z 2025-08-14T22:11:40.1321090Z cudagraph partition due to non gpu ops 2025-08-14T22:11:40.1321363Z cudagraph partition due to non gpu ops 2025-08-14T22:11:40.1321757Z cudagraph partition due to non gpu ops 2025-08-14T22:11:40.1322144Z cudagraph partition due to non gpu ops 2025-08-14T22:11:40.1322471Z cudagraph partition due to non gpu ops 2025-08-14T22:11:40.1322720Z cudagraph partition due to non gpu ops 2025-08-14T22:11:41.2999172Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:41.3007684Z 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 2025-08-14T22:11:41.3008340Z attention_output = self.output(self_outputs[0], hidden_states) 2025-08-14T22:11:41.3008857Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1295, in forward 2025-08-14T22:11:41.3009324Z hidden_states = self.dense(hidden_states) 2025-08-14T22:11:41.3009492Z 2025-08-14T22:11:41.3009589Z cudagraph partition due to non gpu ops 2025-08-14T22:11:41.3009852Z cudagraph partition due to non gpu ops 2025-08-14T22:11:41.6703354Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:41.6704024Z 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 2025-08-14T22:11:41.6704584Z layer_output = apply_chunking_to_forward( 2025-08-14T22:11:41.6705086Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-08-14T22:11:41.6705551Z return forward_fn(*input_tensors) 2025-08-14T22:11:41.6706014Z 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 2025-08-14T22:11:41.6706543Z intermediate_output = self.intermediate(attention_output) 2025-08-14T22:11:41.6707038Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1401, in forward 2025-08-14T22:11:41.6707975Z hidden_states = self.dense(hidden_states) 2025-08-14T22:11:41.6708151Z 2025-08-14T22:11:41.6708243Z cudagraph partition due to non gpu ops 2025-08-14T22:11:41.6708483Z cudagraph partition due to non gpu ops 2025-08-14T22:11:41.6708746Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:41.6709288Z 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 2025-08-14T22:11:41.6709827Z layer_output = apply_chunking_to_forward( 2025-08-14T22:11:41.6710417Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-08-14T22:11:41.6710864Z return forward_fn(*input_tensors) 2025-08-14T22:11:41.6711320Z 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 2025-08-14T22:11:41.6711909Z intermediate_output = self.intermediate(attention_output) 2025-08-14T22:11:41.6712398Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1402, in forward 2025-08-14T22:11:41.6712915Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-08-14T22:11:41.6713333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward 2025-08-14T22:11:41.6713831Z return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0)))) 2025-08-14T22:11:41.6714093Z 2025-08-14T22:11:41.6714181Z cudagraph partition due to non gpu ops 2025-08-14T22:11:41.6714439Z cudagraph partition due to non gpu ops 2025-08-14T22:11:41.7709678Z W0814 22:11:41.769588 18086 site-packages/torch/_dynamo/convert_frame.py:1102] [10/8] torch._dynamo hit config.recompile_limit (8) 2025-08-14T22:11:41.7710684Z W0814 22:11:41.769588 18086 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) 2025-08-14T22:11:41.7712417Z W0814 22:11:41.769588 18086 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.) 2025-08-14T22:11:41.7714015Z W0814 22:11:41.769588 18086 site-packages/torch/_dynamo/convert_frame.py:1102] [10/8] To log all recompilation reasons, use TORCH_LOGS="recompiles". 2025-08-14T22:11:41.7714821Z W0814 22:11:41.769588 18086 site-packages/torch/_dynamo/convert_frame.py:1102] [10/8] To diagnose recompilation issues, see https://pytorch.org/docs/main/torch.compiler_troubleshooting.html 2025-08-14T22:11:41.7981543Z W0814 22:11:41.797104 18086 site-packages/torch/_dynamo/convert_frame.py:1102] [17/8] torch._dynamo hit config.recompile_limit (8) 2025-08-14T22:11:41.7982514Z W0814 22:11:41.797104 18086 site-packages/torch/_dynamo/convert_frame.py:1102] [17/8] function: 'torch_dynamo_resume_in_forward_at_1381' (/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py:1381) 2025-08-14T22:11:41.7983750Z W0814 22:11:41.797104 18086 site-packages/torch/_dynamo/convert_frame.py:1102] [17/8] last reason: 17/7: ___check_obj_id(self._modules['output']._modules['dense']._parameters['bias'], 140702799439808) # return F.linear(input, self.weight, self.bias) # nn/modules/linear.py:134 in forward 2025-08-14T22:11:41.7984691Z W0814 22:11:41.797104 18086 site-packages/torch/_dynamo/convert_frame.py:1102] [17/8] To log all recompilation reasons, use TORCH_LOGS="recompiles". 2025-08-14T22:11:41.7986011Z W0814 22:11:41.797104 18086 site-packages/torch/_dynamo/convert_frame.py:1102] [17/8] To diagnose recompilation issues, see https://pytorch.org/docs/main/torch.compiler_troubleshooting.html 2025-08-14T22:11:41.8030605Z W0814 22:11:41.802212 18086 site-packages/torch/_dynamo/convert_frame.py:1102] [18/8] torch._dynamo hit config.recompile_limit (8) 2025-08-14T22:11:41.8031626Z W0814 22:11:41.802212 18086 site-packages/torch/_dynamo/convert_frame.py:1102] [18/8] function: 'torch_dynamo_resume_in_forward_at_1468' (/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py:1468) 2025-08-14T22:11:41.8032849Z W0814 22:11:41.802212 18086 site-packages/torch/_dynamo/convert_frame.py:1102] [18/8] last reason: 18/7: ___check_obj_id(self._modules['output']._modules['dense']._parameters['bias'], 140702799440048) # return F.linear(input, self.weight, self.bias) # nn/modules/linear.py:134 in forward 2025-08-14T22:11:41.8034057Z W0814 22:11:41.802212 18086 site-packages/torch/_dynamo/convert_frame.py:1102] [18/8] To log all recompilation reasons, use TORCH_LOGS="recompiles". 2025-08-14T22:11:41.8034885Z W0814 22:11:41.802212 18086 site-packages/torch/_dynamo/convert_frame.py:1102] [18/8] To diagnose recompilation issues, see https://pytorch.org/docs/main/torch.compiler_troubleshooting.html 2025-08-14T22:11:42.1360664Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:42.1361374Z 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 2025-08-14T22:11:42.1362057Z pooler_output = self.activation(self.pooler(sequence_output[:, 0, :])) if (self.pooler is not None) else None 2025-08-14T22:11:42.1362367Z 2025-08-14T22:11:42.1362490Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:42.1363147Z 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 2025-08-14T22:11:42.1363837Z pooler_output = self.activation(self.pooler(sequence_output[:, 0, :])) if (self.pooler is not None) else None 2025-08-14T22:11:42.1364131Z 2025-08-14T22:11:42.1364242Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:42.1364793Z 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 2025-08-14T22:11:42.1365444Z pooler_output = self.activation(self.pooler(sequence_output[:, 0, :])) if (self.pooler is not None) else None 2025-08-14T22:11:42.1365759Z 2025-08-14T22:11:43.1321186Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:11:43.1321877Z 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 2025-08-14T22:11:43.1322456Z prediction_scores = self.cls(sequence_output) 2025-08-14T22:11:43.1322938Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1682, in forward 2025-08-14T22:11:43.1323428Z prediction_scores = self.predictions(sequence_output) 2025-08-14T22:11:43.1323936Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1670, in forward 2025-08-14T22:11:43.1324337Z hidden_states = self.transform(hidden_states) 2025-08-14T22:11:43.1324744Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1645, in forward 2025-08-14T22:11:43.1325168Z hidden_states = self.dense(hidden_states) 2025-08-14T22:11:43.1325307Z 2025-08-14T22:11:43.1325398Z cudagraph partition due to non gpu ops 2025-08-14T22:11:43.1325605Z cudagraph partition due to non gpu ops 2025-08-14T22:11:43.1325809Z cudagraph partition due to non gpu ops 2025-08-14T22:11:43.1326006Z cudagraph partition due to non gpu ops 2025-08-14T22:11:45.6255616Z Compilation time (from dynamo_timed): 40.883047786 2025-08-14T22:11:45.6587994Z pass 2025-08-14T22:11:45.6588461Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T22:11:45.6589312Z TIMING: _recursive_pre_grad_passes:0.08773 _recursive_joint_graph_passes:0.48153 inductor_compile:23.06837 backend_compile:29.28952 gc:0.04099 entire_frame_compile:40.88305 _recursive_post_grad_passes:0.16105 async_compile.wait:6.78046 code_gen:20.77042 total_wall_time:40.88305 2025-08-14T22:11:45.6590315Z STATS: call_* op count: 499 | FakeTensorMode.__torch_dispatch__:29101 | ProxyTorchDispatchMode.__torch_dispatch__:6937 | FakeTensor.__torch_dispatch__:4503 2025-08-14T22:11:45.6606097Z Dynamo produced 43 graphs covering 499 ops with 25 graph breaks (2 unique) 2025-08-14T22:11:50.5855312Z 2025-08-14T22:11:51.2666883Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:11:51.2667585Z 2025-08-14T22:11:51.2702287Z config.json: 0% 0.00/483 [00:00bcxy", (query, key)) # multiply 2025-08-14T22:13:51.2224253Z 2025-08-14T22:13:51.2224375Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2224940Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2225486Z layer_outputs = layer_module( 2025-08-14T22:13:51.2225865Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2226420Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2226876Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2227339Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2227801Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2228247Z self_outputs = self.self( 2025-08-14T22:13:51.2228675Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 510, in forward 2025-08-14T22:13:51.2229137Z key_vectors = self.key(hidden_states) 2025-08-14T22:13:51.2229286Z 2025-08-14T22:13:51.2229408Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2230143Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2230713Z layer_outputs = layer_module( 2025-08-14T22:13:51.2231090Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2231490Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2231936Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2232391Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2232840Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2233285Z self_outputs = self.self( 2025-08-14T22:13:51.2233709Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-08-14T22:13:51.2234202Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-08-14T22:13:51.2234852Z 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 2025-08-14T22:13:51.2235457Z key = self._chunk(key, window_overlap, getattr(self.config, "onnx_export", False)) 2025-08-14T22:13:51.2235993Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 719, in _chunk 2025-08-14T22:13:51.2236453Z hidden_states = hidden_states.view( 2025-08-14T22:13:51.2236599Z 2025-08-14T22:13:51.2236722Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2237279Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2237817Z layer_outputs = layer_module( 2025-08-14T22:13:51.2238195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2238636Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2239078Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2239536Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2239998Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2240452Z self_outputs = self.self( 2025-08-14T22:13:51.2240882Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-08-14T22:13:51.2241356Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-08-14T22:13:51.2241901Z 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 2025-08-14T22:13:51.2242682Z diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key)) # multiply 2025-08-14T22:13:51.2242957Z 2025-08-14T22:13:51.2243046Z cudagraph partition due to non gpu ops 2025-08-14T22:13:51.2243278Z cudagraph partition due to non gpu ops 2025-08-14T22:13:51.2243500Z cudagraph partition due to non gpu ops 2025-08-14T22:13:51.2243715Z cudagraph partition due to non gpu ops 2025-08-14T22:13:51.2243969Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2244518Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2245055Z layer_outputs = layer_module( 2025-08-14T22:13:51.2245425Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2245825Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2246286Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2246738Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2247251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2247709Z self_outputs = self.self( 2025-08-14T22:13:51.2248161Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 536, in forward 2025-08-14T22:13:51.2248645Z diagonal_mask = self._sliding_chunks_query_key_matmul( 2025-08-14T22:13:51.2249199Z 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 2025-08-14T22:13:51.2249795Z self._mask_invalid_locations(diagonal_attention_scores, window_overlap) 2025-08-14T22:13:51.2250423Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 762, in _mask_invalid_locations 2025-08-14T22:13:51.2251052Z input_tensor[:, :affected_seq_len, :, : affected_seq_len + 1] = torch.full_like( 2025-08-14T22:13:51.2251284Z 2025-08-14T22:13:51.2251367Z cudagraph partition due to non gpu ops 2025-08-14T22:13:51.2251627Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2252184Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2252711Z layer_outputs = layer_module( 2025-08-14T22:13:51.2253097Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2253495Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2253946Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2254512Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2254979Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2255426Z self_outputs = self.self( 2025-08-14T22:13:51.2255870Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward 2025-08-14T22:13:51.2256320Z attn_scores += diagonal_mask 2025-08-14T22:13:51.2256452Z 2025-08-14T22:13:51.2256573Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2257128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2257661Z layer_outputs = layer_module( 2025-08-14T22:13:51.2258042Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2258451Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2258908Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2259372Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2259830Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2260290Z self_outputs = self.self( 2025-08-14T22:13:51.2260722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward 2025-08-14T22:13:51.2261181Z attn_probs = nn.functional.softmax( 2025-08-14T22:13:51.2261328Z 2025-08-14T22:13:51.2261453Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2262030Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2262563Z layer_outputs = layer_module( 2025-08-14T22:13:51.2262941Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2263340Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2263790Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2264255Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2264709Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2265159Z self_outputs = self.self( 2025-08-14T22:13:51.2265589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 511, in forward 2025-08-14T22:13:51.2266103Z value_vectors = self.value(hidden_states) 2025-08-14T22:13:51.2266276Z 2025-08-14T22:13:51.2266397Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2266964Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2267492Z layer_outputs = layer_module( 2025-08-14T22:13:51.2267875Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2268273Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2268726Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2269187Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2269651Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2270125Z self_outputs = self.self( 2025-08-14T22:13:51.2270551Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:13:51.2271052Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:13:51.2271631Z 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 2025-08-14T22:13:51.2272269Z padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1) 2025-08-14T22:13:51.2272729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T22:13:51.2273105Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T22:13:51.2273271Z 2025-08-14T22:13:51.2273391Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2273973Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2274493Z layer_outputs = layer_module( 2025-08-14T22:13:51.2274868Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2275272Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2275704Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2276140Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2276576Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2277012Z self_outputs = self.self( 2025-08-14T22:13:51.2277444Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:13:51.2277963Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:13:51.2278541Z 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 2025-08-14T22:13:51.2279144Z chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs) 2025-08-14T22:13:51.2279675Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize 2025-08-14T22:13:51.2280183Z chunked_hidden_states = nn.functional.pad( 2025-08-14T22:13:51.2280545Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T22:13:51.2280910Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T22:13:51.2281073Z 2025-08-14T22:13:51.2281188Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2281773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2282332Z layer_outputs = layer_module( 2025-08-14T22:13:51.2282695Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2283079Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2283525Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2283976Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2284425Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2284918Z self_outputs = self.self( 2025-08-14T22:13:51.2285383Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:13:51.2285888Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:13:51.2286465Z 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 2025-08-14T22:13:51.2287093Z context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value)) 2025-08-14T22:13:51.2287320Z 2025-08-14T22:13:51.2287440Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2288004Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2288684Z layer_outputs = layer_module( 2025-08-14T22:13:51.2289074Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2289488Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2289949Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2290407Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2290870Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2291321Z self_outputs = self.self( 2025-08-14T22:13:51.2291757Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:13:51.2292252Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:13:51.2292830Z 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 2025-08-14T22:13:51.2293446Z context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value)) 2025-08-14T22:13:51.2293679Z 2025-08-14T22:13:51.2293791Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2294430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2294990Z layer_outputs = layer_module( 2025-08-14T22:13:51.2295368Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2295766Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2296224Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2296683Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2297133Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2297655Z self_outputs = self.self( 2025-08-14T22:13:51.2298093Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 618, in forward 2025-08-14T22:13:51.2298675Z attn_output = attn_output.transpose(0, 1).reshape(seq_len, batch_size, embed_dim).contiguous() 2025-08-14T22:13:51.2298940Z 2025-08-14T22:13:51.2299056Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2299627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2300155Z layer_outputs = layer_module( 2025-08-14T22:13:51.2300537Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2300916Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2301383Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2301831Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2318774Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward 2025-08-14T22:13:51.2319363Z attn_output = self.output(self_outputs[0], hidden_states) 2025-08-14T22:13:51.2319862Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward 2025-08-14T22:13:51.2320332Z hidden_states = self.dense(hidden_states) 2025-08-14T22:13:51.2320500Z 2025-08-14T22:13:51.2320589Z cudagraph partition due to non gpu ops 2025-08-14T22:13:51.2320812Z cudagraph partition due to non gpu ops 2025-08-14T22:13:51.2321020Z cudagraph partition due to non gpu ops 2025-08-14T22:13:51.2321220Z cudagraph partition due to non gpu ops 2025-08-14T22:13:51.2321478Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2322047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2322587Z layer_outputs = layer_module( 2025-08-14T22:13:51.2322982Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2323378Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2323826Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2324274Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2324716Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2325165Z self_outputs = self.self( 2025-08-14T22:13:51.2325577Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward 2025-08-14T22:13:51.2326025Z query_vectors = self.query(hidden_states) 2025-08-14T22:13:51.2326182Z 2025-08-14T22:13:51.2326304Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2326820Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2327307Z layer_outputs = layer_module( 2025-08-14T22:13:51.2327665Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2328049Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2328487Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2328933Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2329527Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2330220Z self_outputs = self.self( 2025-08-14T22:13:51.2330655Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward 2025-08-14T22:13:51.2331101Z query_vectors = self.query(hidden_states) 2025-08-14T22:13:51.2331259Z 2025-08-14T22:13:51.2331371Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2331919Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2332439Z layer_outputs = layer_module( 2025-08-14T22:13:51.2332806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2333279Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2333742Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2334281Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2334737Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2335188Z self_outputs = self.self( 2025-08-14T22:13:51.2335625Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-08-14T22:13:51.2336108Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-08-14T22:13:51.2336656Z 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 2025-08-14T22:13:51.2337300Z diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key)) # multiply 2025-08-14T22:13:51.2337573Z 2025-08-14T22:13:51.2337700Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2338260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2338793Z layer_outputs = layer_module( 2025-08-14T22:13:51.2339177Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2339580Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2340025Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2340480Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2340929Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2341380Z self_outputs = self.self( 2025-08-14T22:13:51.2341809Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 510, in forward 2025-08-14T22:13:51.2342264Z key_vectors = self.key(hidden_states) 2025-08-14T22:13:51.2342411Z 2025-08-14T22:13:51.2342533Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2343092Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2343626Z layer_outputs = layer_module( 2025-08-14T22:13:51.2344006Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2344406Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2344864Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2345416Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2345851Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2346294Z self_outputs = self.self( 2025-08-14T22:13:51.2346715Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-08-14T22:13:51.2347185Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-08-14T22:13:51.2347716Z 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 2025-08-14T22:13:51.2348327Z key = self._chunk(key, window_overlap, getattr(self.config, "onnx_export", False)) 2025-08-14T22:13:51.2348865Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 719, in _chunk 2025-08-14T22:13:51.2349349Z hidden_states = hidden_states.view( 2025-08-14T22:13:51.2349493Z 2025-08-14T22:13:51.2349615Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2350166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2350673Z layer_outputs = layer_module( 2025-08-14T22:13:51.2351037Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2351410Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2351847Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2352289Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2352718Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2353160Z self_outputs = self.self( 2025-08-14T22:13:51.2353578Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-08-14T22:13:51.2354042Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-08-14T22:13:51.2354556Z 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 2025-08-14T22:13:51.2355169Z diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key)) # multiply 2025-08-14T22:13:51.2355432Z 2025-08-14T22:13:51.2355520Z cudagraph partition due to non gpu ops 2025-08-14T22:13:51.2355746Z cudagraph partition due to non gpu ops 2025-08-14T22:13:51.2355987Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2356533Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2357044Z layer_outputs = layer_module( 2025-08-14T22:13:51.2357401Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2357784Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2358221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2358669Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2359112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2359560Z self_outputs = self.self( 2025-08-14T22:13:51.2359982Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward 2025-08-14T22:13:51.2360416Z attn_scores += diagonal_mask 2025-08-14T22:13:51.2360600Z 2025-08-14T22:13:51.2360712Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2361250Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2361754Z layer_outputs = layer_module( 2025-08-14T22:13:51.2362109Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2362486Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2362924Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2363362Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2363788Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2364244Z self_outputs = self.self( 2025-08-14T22:13:51.2364664Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward 2025-08-14T22:13:51.2365100Z attn_probs = nn.functional.softmax( 2025-08-14T22:13:51.2365241Z 2025-08-14T22:13:51.2365348Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2365890Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2366396Z layer_outputs = layer_module( 2025-08-14T22:13:51.2366752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2367135Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2367577Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2368021Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2368452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2368888Z self_outputs = self.self( 2025-08-14T22:13:51.2369308Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 511, in forward 2025-08-14T22:13:51.2369757Z value_vectors = self.value(hidden_states) 2025-08-14T22:13:51.2369902Z 2025-08-14T22:13:51.2370008Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2370545Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2371055Z layer_outputs = layer_module( 2025-08-14T22:13:51.2371424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2371822Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2372258Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2372698Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2373126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2373559Z self_outputs = self.self( 2025-08-14T22:13:51.2373977Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:13:51.2374553Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:13:51.2375136Z 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 2025-08-14T22:13:51.2375827Z padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1) 2025-08-14T22:13:51.2376287Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T22:13:51.2376662Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T22:13:51.2376826Z 2025-08-14T22:13:51.2376936Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2377482Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2377996Z layer_outputs = layer_module( 2025-08-14T22:13:51.2378553Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2378929Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2379374Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2379794Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2380203Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2380615Z self_outputs = self.self( 2025-08-14T22:13:51.2381016Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:13:51.2381474Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:13:51.2381994Z 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 2025-08-14T22:13:51.2382541Z chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs) 2025-08-14T22:13:51.2383054Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize 2025-08-14T22:13:51.2383524Z chunked_hidden_states = nn.functional.pad( 2025-08-14T22:13:51.2383859Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T22:13:51.2384206Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T22:13:51.2384356Z 2025-08-14T22:13:51.2384467Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2384972Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2385456Z layer_outputs = layer_module( 2025-08-14T22:13:51.2385802Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2386166Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2386579Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2386998Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2387417Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2387828Z self_outputs = self.self( 2025-08-14T22:13:51.2388220Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:13:51.2388677Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:13:51.2389230Z 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 2025-08-14T22:13:51.2389861Z context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value)) 2025-08-14T22:13:51.2390096Z 2025-08-14T22:13:51.2390263Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2390843Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2391375Z layer_outputs = layer_module( 2025-08-14T22:13:51.2391740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2392104Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2392521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2392938Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2393344Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2393773Z self_outputs = self.self( 2025-08-14T22:13:51.2394172Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:13:51.2394626Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:13:51.2395143Z 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 2025-08-14T22:13:51.2395703Z context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value)) 2025-08-14T22:13:51.2395909Z 2025-08-14T22:13:51.2396027Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2396566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2397066Z layer_outputs = layer_module( 2025-08-14T22:13:51.2397430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2397817Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2398252Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2398689Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2399129Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2399561Z self_outputs = self.self( 2025-08-14T22:13:51.2399972Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 618, in forward 2025-08-14T22:13:51.2400527Z attn_output = attn_output.transpose(0, 1).reshape(seq_len, batch_size, embed_dim).contiguous() 2025-08-14T22:13:51.2400779Z 2025-08-14T22:13:51.2400895Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2401441Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2401944Z layer_outputs = layer_module( 2025-08-14T22:13:51.2402310Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2402692Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2403124Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2403561Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2403992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward 2025-08-14T22:13:51.2404473Z attn_output = self.output(self_outputs[0], hidden_states) 2025-08-14T22:13:51.2404977Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward 2025-08-14T22:13:51.2405485Z hidden_states = self.dense(hidden_states) 2025-08-14T22:13:51.2405639Z 2025-08-14T22:13:51.2405726Z cudagraph partition due to non gpu ops 2025-08-14T22:13:51.2405949Z cudagraph partition due to non gpu ops 2025-08-14T22:13:51.2406162Z cudagraph partition due to non gpu ops 2025-08-14T22:13:51.2406378Z cudagraph partition due to non gpu ops 2025-08-14T22:13:51.2406623Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2407168Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2407704Z layer_outputs = layer_module( 2025-08-14T22:13:51.2408073Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2408469Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2408914Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2409353Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2409808Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2410246Z self_outputs = self.self( 2025-08-14T22:13:51.2410686Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward 2025-08-14T22:13:51.2411145Z query_vectors = self.query(hidden_states) 2025-08-14T22:13:51.2411296Z 2025-08-14T22:13:51.2411416Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2411973Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2412502Z layer_outputs = layer_module( 2025-08-14T22:13:51.2412883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2413269Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2413735Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2414258Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2414714Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2415152Z self_outputs = self.self( 2025-08-14T22:13:51.2415587Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward 2025-08-14T22:13:51.2416049Z query_vectors = self.query(hidden_states) 2025-08-14T22:13:51.2416205Z 2025-08-14T22:13:51.2416324Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2416879Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2417409Z layer_outputs = layer_module( 2025-08-14T22:13:51.2417788Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2418173Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2418623Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2419071Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2419521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2419956Z self_outputs = self.self( 2025-08-14T22:13:51.2420430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-08-14T22:13:51.2420936Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-08-14T22:13:51.2421493Z 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 2025-08-14T22:13:51.2422133Z diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key)) # multiply 2025-08-14T22:13:51.2422410Z 2025-08-14T22:13:51.2422525Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2423090Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2423620Z layer_outputs = layer_module( 2025-08-14T22:13:51.2423993Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2424418Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2424874Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2425325Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2425779Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2426230Z self_outputs = self.self( 2025-08-14T22:13:51.2426663Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 510, in forward 2025-08-14T22:13:51.2427109Z key_vectors = self.key(hidden_states) 2025-08-14T22:13:51.2427262Z 2025-08-14T22:13:51.2427372Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2427931Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2428458Z layer_outputs = layer_module( 2025-08-14T22:13:51.2428828Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2429222Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2429676Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2430312Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2430765Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2431203Z self_outputs = self.self( 2025-08-14T22:13:51.2431625Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-08-14T22:13:51.2432087Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-08-14T22:13:51.2432621Z 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 2025-08-14T22:13:51.2433217Z key = self._chunk(key, window_overlap, getattr(self.config, "onnx_export", False)) 2025-08-14T22:13:51.2433742Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 719, in _chunk 2025-08-14T22:13:51.2434176Z hidden_states = hidden_states.view( 2025-08-14T22:13:51.2434323Z 2025-08-14T22:13:51.2434433Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2434976Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2435493Z layer_outputs = layer_module( 2025-08-14T22:13:51.2435941Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2436363Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2436816Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2437258Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2437713Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2438160Z self_outputs = self.self( 2025-08-14T22:13:51.2438591Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-08-14T22:13:51.2439071Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-08-14T22:13:51.2439602Z 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 2025-08-14T22:13:51.2440267Z diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key)) # multiply 2025-08-14T22:13:51.2440524Z 2025-08-14T22:13:51.2440614Z cudagraph partition due to non gpu ops 2025-08-14T22:13:51.2440833Z cudagraph partition due to non gpu ops 2025-08-14T22:13:51.2441079Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2441623Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2442143Z layer_outputs = layer_module( 2025-08-14T22:13:51.2442522Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2442915Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2443378Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2443821Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2444265Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2444706Z self_outputs = self.self( 2025-08-14T22:13:51.2445146Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward 2025-08-14T22:13:51.2445574Z attn_scores += diagonal_mask 2025-08-14T22:13:51.2445708Z 2025-08-14T22:13:51.2445815Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2446353Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2446855Z layer_outputs = layer_module( 2025-08-14T22:13:51.2447220Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2447623Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2448077Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2448525Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2448972Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2449430Z self_outputs = self.self( 2025-08-14T22:13:51.2449878Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward 2025-08-14T22:13:51.2450336Z attn_probs = nn.functional.softmax( 2025-08-14T22:13:51.2450489Z 2025-08-14T22:13:51.2450599Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2451193Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2451739Z layer_outputs = layer_module( 2025-08-14T22:13:51.2452108Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2452518Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2452971Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2453413Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2453870Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2454386Z self_outputs = self.self( 2025-08-14T22:13:51.2454820Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 511, in forward 2025-08-14T22:13:51.2455304Z value_vectors = self.value(hidden_states) 2025-08-14T22:13:51.2455469Z 2025-08-14T22:13:51.2455582Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2456147Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2456684Z layer_outputs = layer_module( 2025-08-14T22:13:51.2457055Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2457455Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2457907Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2458357Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2458814Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2459266Z self_outputs = self.self( 2025-08-14T22:13:51.2459703Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:13:51.2460198Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:13:51.2460773Z 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 2025-08-14T22:13:51.2461415Z padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1) 2025-08-14T22:13:51.2461889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T22:13:51.2462275Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T22:13:51.2462444Z 2025-08-14T22:13:51.2462552Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2463099Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2463588Z layer_outputs = layer_module( 2025-08-14T22:13:51.2463928Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2464291Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2464716Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2465165Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2465610Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2466050Z self_outputs = self.self( 2025-08-14T22:13:51.2466467Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:13:51.2467011Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:13:51.2467570Z 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 2025-08-14T22:13:51.2468152Z chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs) 2025-08-14T22:13:51.2468693Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize 2025-08-14T22:13:51.2469192Z chunked_hidden_states = nn.functional.pad( 2025-08-14T22:13:51.2469530Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T22:13:51.2469876Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T22:13:51.2470026Z 2025-08-14T22:13:51.2470129Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2470664Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2471167Z layer_outputs = layer_module( 2025-08-14T22:13:51.2471534Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2471927Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2472383Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2472831Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2473278Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2473731Z self_outputs = self.self( 2025-08-14T22:13:51.2474162Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:13:51.2474629Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:13:51.2475147Z 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 2025-08-14T22:13:51.2475713Z context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value)) 2025-08-14T22:13:51.2475927Z 2025-08-14T22:13:51.2476029Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2476569Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2477075Z layer_outputs = layer_module( 2025-08-14T22:13:51.2477439Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2477823Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2478268Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2478702Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2479137Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2479569Z self_outputs = self.self( 2025-08-14T22:13:51.2479981Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:13:51.2480463Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:13:51.2481022Z 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 2025-08-14T22:13:51.2481623Z context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value)) 2025-08-14T22:13:51.2481868Z 2025-08-14T22:13:51.2482012Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2482556Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2483074Z layer_outputs = layer_module( 2025-08-14T22:13:51.2483451Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2483832Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2484281Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2484718Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2485153Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2485607Z self_outputs = self.self( 2025-08-14T22:13:51.2486032Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 618, in forward 2025-08-14T22:13:51.2486590Z attn_output = attn_output.transpose(0, 1).reshape(seq_len, batch_size, embed_dim).contiguous() 2025-08-14T22:13:51.2486850Z 2025-08-14T22:13:51.2486969Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2487517Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2488048Z layer_outputs = layer_module( 2025-08-14T22:13:51.2488413Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2488784Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2489227Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2489663Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2490102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward 2025-08-14T22:13:51.2490573Z attn_output = self.output(self_outputs[0], hidden_states) 2025-08-14T22:13:51.2491051Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward 2025-08-14T22:13:51.2491496Z hidden_states = self.dense(hidden_states) 2025-08-14T22:13:51.2491642Z 2025-08-14T22:13:51.2491727Z cudagraph partition due to non gpu ops 2025-08-14T22:13:51.2491945Z cudagraph partition due to non gpu ops 2025-08-14T22:13:51.2492164Z cudagraph partition due to non gpu ops 2025-08-14T22:13:51.2492377Z cudagraph partition due to non gpu ops 2025-08-14T22:13:51.2492617Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2493179Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2493687Z layer_outputs = layer_module( 2025-08-14T22:13:51.2494129Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2494536Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2494995Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2495452Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2495918Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2496357Z self_outputs = self.self( 2025-08-14T22:13:51.2496839Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward 2025-08-14T22:13:51.2497326Z query_vectors = self.query(hidden_states) 2025-08-14T22:13:51.2497479Z 2025-08-14T22:13:51.2497589Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2498153Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2498677Z layer_outputs = layer_module( 2025-08-14T22:13:51.2499054Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2499434Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2499889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2500338Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2500808Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2501257Z self_outputs = self.self( 2025-08-14T22:13:51.2501697Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward 2025-08-14T22:13:51.2502154Z query_vectors = self.query(hidden_states) 2025-08-14T22:13:51.2502304Z 2025-08-14T22:13:51.2502413Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2502967Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2503491Z layer_outputs = layer_module( 2025-08-14T22:13:51.2503869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2504257Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2504709Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2505166Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2505608Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2506060Z self_outputs = self.self( 2025-08-14T22:13:51.2506499Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-08-14T22:13:51.2506982Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-08-14T22:13:51.2507521Z 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 2025-08-14T22:13:51.2508150Z diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key)) # multiply 2025-08-14T22:13:51.2508417Z 2025-08-14T22:13:51.2508531Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2509070Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2509573Z layer_outputs = layer_module( 2025-08-14T22:13:51.2509940Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2510334Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2510786Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2511229Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2511679Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2512139Z self_outputs = self.self( 2025-08-14T22:13:51.2512618Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 510, in forward 2025-08-14T22:13:51.2513064Z key_vectors = self.key(hidden_states) 2025-08-14T22:13:51.2513214Z 2025-08-14T22:13:51.2513323Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2513885Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2514398Z layer_outputs = layer_module( 2025-08-14T22:13:51.2514761Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2515138Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2515573Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2516039Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2516483Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2516926Z self_outputs = self.self( 2025-08-14T22:13:51.2517343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-08-14T22:13:51.2517813Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-08-14T22:13:51.2518343Z 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 2025-08-14T22:13:51.2518927Z key = self._chunk(key, window_overlap, getattr(self.config, "onnx_export", False)) 2025-08-14T22:13:51.2519446Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 719, in _chunk 2025-08-14T22:13:51.2519886Z hidden_states = hidden_states.view( 2025-08-14T22:13:51.2520037Z 2025-08-14T22:13:51.2520148Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2520697Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2521203Z layer_outputs = layer_module( 2025-08-14T22:13:51.2521573Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2521955Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2522398Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2522835Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2523273Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2523717Z self_outputs = self.self( 2025-08-14T22:13:51.2524137Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-08-14T22:13:51.2524625Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-08-14T22:13:51.2525166Z 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 2025-08-14T22:13:51.2525800Z diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key)) # multiply 2025-08-14T22:13:51.2526065Z 2025-08-14T22:13:51.2526154Z cudagraph partition due to non gpu ops 2025-08-14T22:13:51.2526389Z cudagraph partition due to non gpu ops 2025-08-14T22:13:51.2526642Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2527290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2527838Z layer_outputs = layer_module( 2025-08-14T22:13:51.2528218Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2528613Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2529064Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2529516Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2530175Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2530636Z self_outputs = self.self( 2025-08-14T22:13:51.2531067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward 2025-08-14T22:13:51.2531572Z attn_scores += diagonal_mask 2025-08-14T22:13:51.2531705Z 2025-08-14T22:13:51.2531828Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2532389Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2532907Z layer_outputs = layer_module( 2025-08-14T22:13:51.2533285Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2533675Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2534170Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2534645Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2535098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2535552Z self_outputs = self.self( 2025-08-14T22:13:51.2535987Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward 2025-08-14T22:13:51.2536449Z attn_probs = nn.functional.softmax( 2025-08-14T22:13:51.2536597Z 2025-08-14T22:13:51.2536715Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2537273Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2537795Z layer_outputs = layer_module( 2025-08-14T22:13:51.2538181Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2538566Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2539007Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2539454Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2539895Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2540339Z self_outputs = self.self( 2025-08-14T22:13:51.2540757Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 511, in forward 2025-08-14T22:13:51.2541211Z value_vectors = self.value(hidden_states) 2025-08-14T22:13:51.2541369Z 2025-08-14T22:13:51.2541477Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2542025Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2542532Z layer_outputs = layer_module( 2025-08-14T22:13:51.2542906Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2543397Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2543833Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2544270Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2544711Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2545149Z self_outputs = self.self( 2025-08-14T22:13:51.2545563Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:13:51.2546035Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:13:51.2546553Z 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 2025-08-14T22:13:51.2547152Z padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1) 2025-08-14T22:13:51.2547565Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T22:13:51.2547923Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T22:13:51.2548088Z 2025-08-14T22:13:51.2548215Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2548777Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2549296Z layer_outputs = layer_module( 2025-08-14T22:13:51.2549673Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2550056Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2550455Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2550864Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2551262Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2551658Z self_outputs = self.self( 2025-08-14T22:13:51.2552038Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:13:51.2552484Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:13:51.2552997Z 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 2025-08-14T22:13:51.2553526Z chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs) 2025-08-14T22:13:51.2554016Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize 2025-08-14T22:13:51.2554473Z chunked_hidden_states = nn.functional.pad( 2025-08-14T22:13:51.2554802Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T22:13:51.2555138Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T22:13:51.2555284Z 2025-08-14T22:13:51.2555394Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2555877Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2556331Z layer_outputs = layer_module( 2025-08-14T22:13:51.2556655Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2557004Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2557463Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2557899Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2558311Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2558727Z self_outputs = self.self( 2025-08-14T22:13:51.2559133Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:13:51.2559593Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:13:51.2560150Z 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 2025-08-14T22:13:51.2560765Z context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value)) 2025-08-14T22:13:51.2561002Z 2025-08-14T22:13:51.2561119Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2561686Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2562209Z layer_outputs = layer_module( 2025-08-14T22:13:51.2562581Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2562973Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2563410Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2563862Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2564368Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2564812Z self_outputs = self.self( 2025-08-14T22:13:51.2565238Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:13:51.2565726Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:13:51.2566293Z 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 2025-08-14T22:13:51.2566895Z context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value)) 2025-08-14T22:13:51.2567113Z 2025-08-14T22:13:51.2567227Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2567793Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2568318Z layer_outputs = layer_module( 2025-08-14T22:13:51.2568687Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2569078Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2569527Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2569973Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2570408Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2570850Z self_outputs = self.self( 2025-08-14T22:13:51.2571287Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 618, in forward 2025-08-14T22:13:51.2571868Z attn_output = attn_output.transpose(0, 1).reshape(seq_len, batch_size, embed_dim).contiguous() 2025-08-14T22:13:51.2572134Z 2025-08-14T22:13:51.2572251Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2572865Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2573407Z layer_outputs = layer_module( 2025-08-14T22:13:51.2573780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2574240Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2574710Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2575170Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2575625Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward 2025-08-14T22:13:51.2576119Z attn_output = self.output(self_outputs[0], hidden_states) 2025-08-14T22:13:51.2576614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward 2025-08-14T22:13:51.2577105Z hidden_states = self.dense(hidden_states) 2025-08-14T22:13:51.2577252Z 2025-08-14T22:13:51.2577336Z cudagraph partition due to non gpu ops 2025-08-14T22:13:51.2577564Z cudagraph partition due to non gpu ops 2025-08-14T22:13:51.2577784Z cudagraph partition due to non gpu ops 2025-08-14T22:13:51.2578001Z cudagraph partition due to non gpu ops 2025-08-14T22:13:51.2578234Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2578776Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2579294Z layer_outputs = layer_module( 2025-08-14T22:13:51.2579650Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2580029Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2580449Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2580867Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2581271Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2581683Z self_outputs = self.self( 2025-08-14T22:13:51.2582084Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward 2025-08-14T22:13:51.2582527Z query_vectors = self.query(hidden_states) 2025-08-14T22:13:51.2582675Z 2025-08-14T22:13:51.2582784Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2583338Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2583870Z layer_outputs = layer_module( 2025-08-14T22:13:51.2584242Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2584625Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2585043Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2585459Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2585887Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2586324Z self_outputs = self.self( 2025-08-14T22:13:51.2586747Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward 2025-08-14T22:13:51.2587197Z query_vectors = self.query(hidden_states) 2025-08-14T22:13:51.2587345Z 2025-08-14T22:13:51.2587454Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2588036Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2588517Z layer_outputs = layer_module( 2025-08-14T22:13:51.2588853Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2589212Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2589626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2590041Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2590448Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2590864Z self_outputs = self.self( 2025-08-14T22:13:51.2591284Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-08-14T22:13:51.2591731Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-08-14T22:13:51.2592220Z 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 2025-08-14T22:13:51.2592802Z diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key)) # multiply 2025-08-14T22:13:51.2593044Z 2025-08-14T22:13:51.2593155Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2593664Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2594134Z layer_outputs = layer_module( 2025-08-14T22:13:51.2594499Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2594889Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2595321Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2595764Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2596212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2596656Z self_outputs = self.self( 2025-08-14T22:13:51.2597069Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 510, in forward 2025-08-14T22:13:51.2597513Z key_vectors = self.key(hidden_states) 2025-08-14T22:13:51.2597656Z 2025-08-14T22:13:51.2597772Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2598306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2598812Z layer_outputs = layer_module( 2025-08-14T22:13:51.2599174Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2599553Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2599994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2600429Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2600866Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2601295Z self_outputs = self.self( 2025-08-14T22:13:51.2601705Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-08-14T22:13:51.2602169Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-08-14T22:13:51.2602762Z 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 2025-08-14T22:13:51.2603344Z key = self._chunk(key, window_overlap, getattr(self.config, "onnx_export", False)) 2025-08-14T22:13:51.2603859Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 719, in _chunk 2025-08-14T22:13:51.2604298Z hidden_states = hidden_states.view( 2025-08-14T22:13:51.2604437Z 2025-08-14T22:13:51.2604552Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2605088Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2605588Z layer_outputs = layer_module( 2025-08-14T22:13:51.2605972Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2606375Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2606817Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2607276Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2607715Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2608150Z self_outputs = self.self( 2025-08-14T22:13:51.2608560Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-08-14T22:13:51.2609028Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-08-14T22:13:51.2609560Z 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 2025-08-14T22:13:51.2610208Z diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key)) # multiply 2025-08-14T22:13:51.2610472Z 2025-08-14T22:13:51.2610559Z cudagraph partition due to non gpu ops 2025-08-14T22:13:51.2610790Z cudagraph partition due to non gpu ops 2025-08-14T22:13:51.2611042Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2611590Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2612126Z layer_outputs = layer_module( 2025-08-14T22:13:51.2612494Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2612878Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2613307Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2613771Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2614307Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2614773Z self_outputs = self.self( 2025-08-14T22:13:51.2615205Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward 2025-08-14T22:13:51.2615670Z attn_scores += diagonal_mask 2025-08-14T22:13:51.2615801Z 2025-08-14T22:13:51.2615919Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2616468Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2616995Z layer_outputs = layer_module( 2025-08-14T22:13:51.2617375Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2617847Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2618293Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2618749Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2619204Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2619648Z self_outputs = self.self( 2025-08-14T22:13:51.2620081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward 2025-08-14T22:13:51.2620535Z attn_probs = nn.functional.softmax( 2025-08-14T22:13:51.2620681Z 2025-08-14T22:13:51.2620802Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2621439Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2621979Z layer_outputs = layer_module( 2025-08-14T22:13:51.2622351Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2622749Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2623201Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2623652Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2624109Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2624553Z self_outputs = self.self( 2025-08-14T22:13:51.2624982Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 511, in forward 2025-08-14T22:13:51.2625454Z value_vectors = self.value(hidden_states) 2025-08-14T22:13:51.2625605Z 2025-08-14T22:13:51.2626018Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2626562Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2627063Z layer_outputs = layer_module( 2025-08-14T22:13:51.2627429Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2627793Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2628211Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2628633Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2629065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2629501Z self_outputs = self.self( 2025-08-14T22:13:51.2630096Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:13:51.2630599Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:13:51.2631132Z 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 2025-08-14T22:13:51.2631733Z padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1) 2025-08-14T22:13:51.2632145Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T22:13:51.2632491Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T22:13:51.2632640Z 2025-08-14T22:13:51.2632750Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2633320Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2633827Z layer_outputs = layer_module( 2025-08-14T22:13:51.2634176Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2634543Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2634962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2635404Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2635852Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2636310Z self_outputs = self.self( 2025-08-14T22:13:51.2636741Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:13:51.2638181Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:13:51.2638741Z 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 2025-08-14T22:13:51.2639292Z chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs) 2025-08-14T22:13:51.2639791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize 2025-08-14T22:13:51.2640260Z chunked_hidden_states = nn.functional.pad( 2025-08-14T22:13:51.2640599Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T22:13:51.2640942Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T22:13:51.2641099Z 2025-08-14T22:13:51.2641202Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2641720Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2642205Z layer_outputs = layer_module( 2025-08-14T22:13:51.2642545Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2642908Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2643325Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2643744Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2644154Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2644566Z self_outputs = self.self( 2025-08-14T22:13:51.2644974Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:13:51.2645435Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:13:51.2645953Z 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 2025-08-14T22:13:51.2646521Z context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value)) 2025-08-14T22:13:51.2646742Z 2025-08-14T22:13:51.2646860Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2647412Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2647931Z layer_outputs = layer_module( 2025-08-14T22:13:51.2648308Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2648706Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2649238Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2649696Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2650154Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2650603Z self_outputs = self.self( 2025-08-14T22:13:51.2651046Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:13:51.2651531Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:13:51.2652087Z 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 2025-08-14T22:13:51.2652687Z context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value)) 2025-08-14T22:13:51.2652933Z 2025-08-14T22:13:51.2653049Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2653606Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2654212Z layer_outputs = layer_module( 2025-08-14T22:13:51.2654592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2654986Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2655443Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2655856Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2656263Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2656679Z self_outputs = self.self( 2025-08-14T22:13:51.2657090Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 618, in forward 2025-08-14T22:13:51.2657621Z attn_output = attn_output.transpose(0, 1).reshape(seq_len, batch_size, embed_dim).contiguous() 2025-08-14T22:13:51.2657861Z 2025-08-14T22:13:51.2657968Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2658481Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2658999Z layer_outputs = layer_module( 2025-08-14T22:13:51.2659366Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2659743Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2660191Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2660636Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2661068Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward 2025-08-14T22:13:51.2661544Z attn_output = self.output(self_outputs[0], hidden_states) 2025-08-14T22:13:51.2662023Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward 2025-08-14T22:13:51.2662472Z hidden_states = self.dense(hidden_states) 2025-08-14T22:13:51.2662617Z 2025-08-14T22:13:51.2662704Z cudagraph partition due to non gpu ops 2025-08-14T22:13:51.2662928Z cudagraph partition due to non gpu ops 2025-08-14T22:13:51.2663147Z cudagraph partition due to non gpu ops 2025-08-14T22:13:51.2663357Z cudagraph partition due to non gpu ops 2025-08-14T22:13:51.2663601Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2664198Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2664730Z layer_outputs = layer_module( 2025-08-14T22:13:51.2665090Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2665488Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2665943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2666387Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2666821Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2667265Z self_outputs = self.self( 2025-08-14T22:13:51.2667695Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward 2025-08-14T22:13:51.2668182Z query_vectors = self.query(hidden_states) 2025-08-14T22:13:51.2668341Z 2025-08-14T22:13:51.2668450Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2668992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2669502Z layer_outputs = layer_module( 2025-08-14T22:13:51.2669861Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2670220Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2670657Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2671096Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2671540Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2671979Z self_outputs = self.self( 2025-08-14T22:13:51.2672407Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward 2025-08-14T22:13:51.2672822Z query_vectors = self.query(hidden_states) 2025-08-14T22:13:51.2672967Z 2025-08-14T22:13:51.2673069Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2673577Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2674060Z layer_outputs = layer_module( 2025-08-14T22:13:51.2674397Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2674756Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2675175Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2675594Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2675879Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2675948Z self_outputs = self.self( 2025-08-14T22:13:51.2676239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-08-14T22:13:51.2676343Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-08-14T22:13:51.2676693Z 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 2025-08-14T22:13:51.2676879Z diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key)) # multiply 2025-08-14T22:13:51.2676884Z 2025-08-14T22:13:51.2677037Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2677398Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2677469Z layer_outputs = layer_module( 2025-08-14T22:13:51.2677699Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2677777Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2678055Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2678134Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2678412Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2678497Z self_outputs = self.self( 2025-08-14T22:13:51.2678799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 510, in forward 2025-08-14T22:13:51.2678878Z key_vectors = self.key(hidden_states) 2025-08-14T22:13:51.2678882Z 2025-08-14T22:13:51.2678993Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2679349Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2679417Z layer_outputs = layer_module( 2025-08-14T22:13:51.2679645Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2679721Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2680013Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2680087Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2680374Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2680449Z self_outputs = self.self( 2025-08-14T22:13:51.2680732Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-08-14T22:13:51.2680834Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-08-14T22:13:51.2681184Z 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 2025-08-14T22:13:51.2681341Z key = self._chunk(key, window_overlap, getattr(self.config, "onnx_export", False)) 2025-08-14T22:13:51.2681653Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 719, in _chunk 2025-08-14T22:13:51.2681734Z hidden_states = hidden_states.view( 2025-08-14T22:13:51.2681742Z 2025-08-14T22:13:51.2681850Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2682260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2682336Z layer_outputs = layer_module( 2025-08-14T22:13:51.2682586Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2682669Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2682985Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2683073Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2683394Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2683495Z self_outputs = self.self( 2025-08-14T22:13:51.2683812Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-08-14T22:13:51.2683916Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-08-14T22:13:51.2684262Z 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 2025-08-14T22:13:51.2684450Z diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key)) # multiply 2025-08-14T22:13:51.2684453Z 2025-08-14T22:13:51.2684543Z cudagraph partition due to non gpu ops 2025-08-14T22:13:51.2684627Z cudagraph partition due to non gpu ops 2025-08-14T22:13:51.2684736Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2685118Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2685218Z layer_outputs = layer_module( 2025-08-14T22:13:51.2685456Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2685549Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2685855Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2685941Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2686236Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2686311Z self_outputs = self.self( 2025-08-14T22:13:51.2686616Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward 2025-08-14T22:13:51.2686694Z attn_scores += diagonal_mask 2025-08-14T22:13:51.2686698Z 2025-08-14T22:13:51.2686813Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2687191Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2687266Z layer_outputs = layer_module( 2025-08-14T22:13:51.2687506Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2687588Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2687882Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2687967Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2688260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2688339Z self_outputs = self.self( 2025-08-14T22:13:51.2688637Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward 2025-08-14T22:13:51.2688718Z attn_probs = nn.functional.softmax( 2025-08-14T22:13:51.2688722Z 2025-08-14T22:13:51.2688836Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2689203Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2689283Z layer_outputs = layer_module( 2025-08-14T22:13:51.2689513Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2689596Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2689902Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2689980Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2690339Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2690421Z self_outputs = self.self( 2025-08-14T22:13:51.2690715Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 511, in forward 2025-08-14T22:13:51.2690810Z value_vectors = self.value(hidden_states) 2025-08-14T22:13:51.2690814Z 2025-08-14T22:13:51.2690919Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2691288Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2691370Z layer_outputs = layer_module( 2025-08-14T22:13:51.2691601Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2691713Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2692009Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2692087Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2692389Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2692459Z self_outputs = self.self( 2025-08-14T22:13:51.2692754Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:13:51.2692882Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:13:51.2693268Z 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 2025-08-14T22:13:51.2693471Z padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1) 2025-08-14T22:13:51.2693684Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T22:13:51.2693788Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T22:13:51.2693794Z 2025-08-14T22:13:51.2693911Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2694382Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2694477Z layer_outputs = layer_module( 2025-08-14T22:13:51.2694718Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2694800Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2695125Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2695212Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2695517Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2695588Z self_outputs = self.self( 2025-08-14T22:13:51.2695881Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:13:51.2696013Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:13:51.2696380Z 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 2025-08-14T22:13:51.2696532Z chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs) 2025-08-14T22:13:51.2696867Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize 2025-08-14T22:13:51.2697039Z chunked_hidden_states = nn.functional.pad( 2025-08-14T22:13:51.2697253Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T22:13:51.2697357Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T22:13:51.2697362Z 2025-08-14T22:13:51.2697471Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2697852Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2697927Z layer_outputs = layer_module( 2025-08-14T22:13:51.2698168Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2698249Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2698567Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2698656Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2698954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2699029Z self_outputs = self.self( 2025-08-14T22:13:51.2699306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:13:51.2699422Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:13:51.2699778Z 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 2025-08-14T22:13:51.2699930Z context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value)) 2025-08-14T22:13:51.2699935Z 2025-08-14T22:13:51.2700044Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2700401Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2700472Z layer_outputs = layer_module( 2025-08-14T22:13:51.2700703Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2700789Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2701101Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2701188Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2701498Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2701580Z self_outputs = self.self( 2025-08-14T22:13:51.2701890Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:13:51.2702015Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:13:51.2702406Z 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 2025-08-14T22:13:51.2702571Z context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value)) 2025-08-14T22:13:51.2702575Z 2025-08-14T22:13:51.2702695Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2703050Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2703121Z layer_outputs = layer_module( 2025-08-14T22:13:51.2703351Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2703463Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2703767Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2703840Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2704119Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2704197Z self_outputs = self.self( 2025-08-14T22:13:51.2704475Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 618, in forward 2025-08-14T22:13:51.2704663Z attn_output = attn_output.transpose(0, 1).reshape(seq_len, batch_size, embed_dim).contiguous() 2025-08-14T22:13:51.2704677Z 2025-08-14T22:13:51.2704777Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2705147Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2705230Z layer_outputs = layer_module( 2025-08-14T22:13:51.2705456Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2705537Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2705828Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2705907Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2706197Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward 2025-08-14T22:13:51.2706315Z attn_output = self.output(self_outputs[0], hidden_states) 2025-08-14T22:13:51.2706614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward 2025-08-14T22:13:51.2706720Z hidden_states = self.dense(hidden_states) 2025-08-14T22:13:51.2706724Z 2025-08-14T22:13:51.2706817Z cudagraph partition due to non gpu ops 2025-08-14T22:13:51.2706910Z cudagraph partition due to non gpu ops 2025-08-14T22:13:51.2706993Z cudagraph partition due to non gpu ops 2025-08-14T22:13:51.2707078Z cudagraph partition due to non gpu ops 2025-08-14T22:13:51.2707198Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2707584Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2707673Z layer_outputs = layer_module( 2025-08-14T22:13:51.2707920Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2708006Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2708318Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2708399Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2708707Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2708791Z self_outputs = self.self( 2025-08-14T22:13:51.2709090Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward 2025-08-14T22:13:51.2709180Z query_vectors = self.query(hidden_states) 2025-08-14T22:13:51.2709192Z 2025-08-14T22:13:51.2709301Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2709712Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2709793Z layer_outputs = layer_module( 2025-08-14T22:13:51.2710051Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2710144Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2710434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2710506Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2710793Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2710860Z self_outputs = self.self( 2025-08-14T22:13:51.2711143Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward 2025-08-14T22:13:51.2711230Z query_vectors = self.query(hidden_states) 2025-08-14T22:13:51.2711233Z 2025-08-14T22:13:51.2711352Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2711708Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2711777Z layer_outputs = layer_module( 2025-08-14T22:13:51.2711990Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2712073Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2712353Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2712426Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2712712Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2712779Z self_outputs = self.self( 2025-08-14T22:13:51.2713068Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-08-14T22:13:51.2713170Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-08-14T22:13:51.2713524Z 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 2025-08-14T22:13:51.2713731Z diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key)) # multiply 2025-08-14T22:13:51.2713735Z 2025-08-14T22:13:51.2713845Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2714229Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2714305Z layer_outputs = layer_module( 2025-08-14T22:13:51.2714545Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2714641Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2714951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2715042Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2715345Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2715430Z self_outputs = self.self( 2025-08-14T22:13:51.2715732Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 510, in forward 2025-08-14T22:13:51.2715814Z key_vectors = self.key(hidden_states) 2025-08-14T22:13:51.2715818Z 2025-08-14T22:13:51.2715923Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2716290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2716412Z layer_outputs = layer_module( 2025-08-14T22:13:51.2716642Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2716723Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2717015Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2717100Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2717401Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2717477Z self_outputs = self.self( 2025-08-14T22:13:51.2717766Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-08-14T22:13:51.2717893Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-08-14T22:13:51.2718261Z 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 2025-08-14T22:13:51.2718430Z key = self._chunk(key, window_overlap, getattr(self.config, "onnx_export", False)) 2025-08-14T22:13:51.2718734Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 719, in _chunk 2025-08-14T22:13:51.2718811Z hidden_states = hidden_states.view( 2025-08-14T22:13:51.2718815Z 2025-08-14T22:13:51.2718922Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2719373Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2719447Z layer_outputs = layer_module( 2025-08-14T22:13:51.2719683Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2719776Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2720075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2720161Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2720464Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2720534Z self_outputs = self.self( 2025-08-14T22:13:51.2720837Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-08-14T22:13:51.2720943Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-08-14T22:13:51.2721311Z 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 2025-08-14T22:13:51.2721511Z diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key)) # multiply 2025-08-14T22:13:51.2721516Z 2025-08-14T22:13:51.2721598Z cudagraph partition due to non gpu ops 2025-08-14T22:13:51.2721689Z cudagraph partition due to non gpu ops 2025-08-14T22:13:51.2721797Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2722179Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2722261Z layer_outputs = layer_module( 2025-08-14T22:13:51.2722502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2722594Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2722903Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2722984Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2723363Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2723441Z self_outputs = self.self( 2025-08-14T22:13:51.2723762Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward 2025-08-14T22:13:51.2723836Z attn_scores += diagonal_mask 2025-08-14T22:13:51.2723840Z 2025-08-14T22:13:51.2723947Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2724330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2724402Z layer_outputs = layer_module( 2025-08-14T22:13:51.2724646Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2724750Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2725047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2725131Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2725426Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2725497Z self_outputs = self.self( 2025-08-14T22:13:51.2725797Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward 2025-08-14T22:13:51.2725878Z attn_probs = nn.functional.softmax( 2025-08-14T22:13:51.2725882Z 2025-08-14T22:13:51.2725995Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2726367Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2726446Z layer_outputs = layer_module( 2025-08-14T22:13:51.2726687Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2726769Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2727081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2727156Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2727450Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2727530Z self_outputs = self.self( 2025-08-14T22:13:51.2727823Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 511, in forward 2025-08-14T22:13:51.2727912Z value_vectors = self.value(hidden_states) 2025-08-14T22:13:51.2727922Z 2025-08-14T22:13:51.2728033Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2728403Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2728486Z layer_outputs = layer_module( 2025-08-14T22:13:51.2728717Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2728797Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2729100Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2729175Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2729476Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2729549Z self_outputs = self.self( 2025-08-14T22:13:51.2730158Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:13:51.2730295Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:13:51.2730652Z 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 2025-08-14T22:13:51.2730836Z padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1) 2025-08-14T22:13:51.2731032Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T22:13:51.2731130Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T22:13:51.2731134Z 2025-08-14T22:13:51.2731242Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2731617Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2731689Z layer_outputs = layer_module( 2025-08-14T22:13:51.2731917Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2731995Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2732286Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2732364Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2732658Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2732739Z self_outputs = self.self( 2025-08-14T22:13:51.2733030Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:13:51.2733166Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:13:51.2733539Z 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 2025-08-14T22:13:51.2733688Z chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs) 2025-08-14T22:13:51.2734085Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize 2025-08-14T22:13:51.2734196Z chunked_hidden_states = nn.functional.pad( 2025-08-14T22:13:51.2734416Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T22:13:51.2734519Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T22:13:51.2734524Z 2025-08-14T22:13:51.2734633Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2735034Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2735111Z layer_outputs = layer_module( 2025-08-14T22:13:51.2735352Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2735445Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2735752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2735839Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2736147Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2736220Z self_outputs = self.self( 2025-08-14T22:13:51.2736543Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:13:51.2736723Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:13:51.2737085Z 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 2025-08-14T22:13:51.2737237Z context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value)) 2025-08-14T22:13:51.2737241Z 2025-08-14T22:13:51.2737343Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2737704Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2737774Z layer_outputs = layer_module( 2025-08-14T22:13:51.2737999Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2738095Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2738378Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2738462Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2738742Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2738811Z self_outputs = self.self( 2025-08-14T22:13:51.2739102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:13:51.2739216Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:13:51.2739573Z 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 2025-08-14T22:13:51.2739721Z context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value)) 2025-08-14T22:13:51.2739726Z 2025-08-14T22:13:51.2739830Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2740189Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2740259Z layer_outputs = layer_module( 2025-08-14T22:13:51.2740485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2740562Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2740840Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2740922Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2741202Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2741281Z self_outputs = self.self( 2025-08-14T22:13:51.2741564Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 618, in forward 2025-08-14T22:13:51.2741750Z attn_output = attn_output.transpose(0, 1).reshape(seq_len, batch_size, embed_dim).contiguous() 2025-08-14T22:13:51.2741754Z 2025-08-14T22:13:51.2741862Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2742214Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2742291Z layer_outputs = layer_module( 2025-08-14T22:13:51.2742512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2742588Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2742877Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2743004Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2743283Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward 2025-08-14T22:13:51.2743400Z attn_output = self.output(self_outputs[0], hidden_states) 2025-08-14T22:13:51.2743680Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward 2025-08-14T22:13:51.2743768Z hidden_states = self.dense(hidden_states) 2025-08-14T22:13:51.2743772Z 2025-08-14T22:13:51.2743851Z cudagraph partition due to non gpu ops 2025-08-14T22:13:51.2743928Z cudagraph partition due to non gpu ops 2025-08-14T22:13:51.2744013Z cudagraph partition due to non gpu ops 2025-08-14T22:13:51.2744089Z cudagraph partition due to non gpu ops 2025-08-14T22:13:51.2744188Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2744564Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2744637Z layer_outputs = layer_module( 2025-08-14T22:13:51.2744866Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2744947Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2745230Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2745313Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2745593Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2745673Z self_outputs = self.self( 2025-08-14T22:13:51.2745976Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward 2025-08-14T22:13:51.2746069Z query_vectors = self.query(hidden_states) 2025-08-14T22:13:51.2746072Z 2025-08-14T22:13:51.2746185Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2746552Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2746629Z layer_outputs = layer_module( 2025-08-14T22:13:51.2746851Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2746933Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2747237Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2747313Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2747613Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2747695Z self_outputs = self.self( 2025-08-14T22:13:51.2747989Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward 2025-08-14T22:13:51.2748082Z query_vectors = self.query(hidden_states) 2025-08-14T22:13:51.2748086Z 2025-08-14T22:13:51.2748189Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2748560Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2748641Z layer_outputs = layer_module( 2025-08-14T22:13:51.2748874Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2748960Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2749299Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2749395Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2749701Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2749772Z self_outputs = self.self( 2025-08-14T22:13:51.2750079Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-08-14T22:13:51.2750192Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-08-14T22:13:51.2750555Z 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 2025-08-14T22:13:51.2750757Z diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key)) # multiply 2025-08-14T22:13:51.2750777Z 2025-08-14T22:13:51.2750885Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2751256Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2751339Z layer_outputs = layer_module( 2025-08-14T22:13:51.2751570Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2751658Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2751953Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2752028Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2752329Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2752402Z self_outputs = self.self( 2025-08-14T22:13:51.2752704Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 510, in forward 2025-08-14T22:13:51.2752788Z key_vectors = self.key(hidden_states) 2025-08-14T22:13:51.2752792Z 2025-08-14T22:13:51.2752897Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2753272Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2753345Z layer_outputs = layer_module( 2025-08-14T22:13:51.2753575Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2753663Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2753958Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2754045Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2754345Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2754416Z self_outputs = self.self( 2025-08-14T22:13:51.2754718Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-08-14T22:13:51.2754825Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-08-14T22:13:51.2755194Z 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 2025-08-14T22:13:51.2755359Z key = self._chunk(key, window_overlap, getattr(self.config, "onnx_export", False)) 2025-08-14T22:13:51.2755657Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 719, in _chunk 2025-08-14T22:13:51.2755746Z hidden_states = hidden_states.view( 2025-08-14T22:13:51.2755769Z 2025-08-14T22:13:51.2755907Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2756285Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2756353Z layer_outputs = layer_module( 2025-08-14T22:13:51.2756566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2756649Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2756923Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2756996Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2757284Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2757370Z self_outputs = self.self( 2025-08-14T22:13:51.2757674Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-08-14T22:13:51.2757779Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-08-14T22:13:51.2758138Z 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 2025-08-14T22:13:51.2758343Z diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key)) # multiply 2025-08-14T22:13:51.2758347Z 2025-08-14T22:13:51.2758428Z cudagraph partition due to non gpu ops 2025-08-14T22:13:51.2758516Z cudagraph partition due to non gpu ops 2025-08-14T22:13:51.2758623Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2759000Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2759084Z layer_outputs = layer_module( 2025-08-14T22:13:51.2759305Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2759381Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2759668Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2759743Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2760031Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2760100Z self_outputs = self.self( 2025-08-14T22:13:51.2760379Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward 2025-08-14T22:13:51.2760459Z attn_scores += diagonal_mask 2025-08-14T22:13:51.2760462Z 2025-08-14T22:13:51.2760567Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2760928Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2760996Z layer_outputs = layer_module( 2025-08-14T22:13:51.2761209Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2761294Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2761564Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2761642Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2761914Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2761982Z self_outputs = self.self( 2025-08-14T22:13:51.2762296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward 2025-08-14T22:13:51.2762387Z attn_probs = nn.functional.softmax( 2025-08-14T22:13:51.2762390Z 2025-08-14T22:13:51.2762488Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2762832Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2762899Z layer_outputs = layer_module( 2025-08-14T22:13:51.2763119Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2763194Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2763463Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2763561Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2763836Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2763909Z self_outputs = self.self( 2025-08-14T22:13:51.2764181Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 511, in forward 2025-08-14T22:13:51.2764263Z value_vectors = self.value(hidden_states) 2025-08-14T22:13:51.2764266Z 2025-08-14T22:13:51.2764373Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2764716Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2764793Z layer_outputs = layer_module( 2025-08-14T22:13:51.2765011Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2765090Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2765373Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2765444Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2765721Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2765797Z self_outputs = self.self( 2025-08-14T22:13:51.2766073Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:13:51.2766197Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:13:51.2766549Z 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 2025-08-14T22:13:51.2766728Z padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1) 2025-08-14T22:13:51.2766927Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T22:13:51.2767023Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T22:13:51.2767026Z 2025-08-14T22:13:51.2767131Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2767481Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2767552Z layer_outputs = layer_module( 2025-08-14T22:13:51.2767781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2767857Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2768133Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2768301Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2768582Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2768658Z self_outputs = self.self( 2025-08-14T22:13:51.2768939Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:13:51.2769058Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:13:51.2769438Z 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 2025-08-14T22:13:51.2769581Z chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs) 2025-08-14T22:13:51.2769929Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize 2025-08-14T22:13:51.2770069Z chunked_hidden_states = nn.functional.pad( 2025-08-14T22:13:51.2770276Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T22:13:51.2770388Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T22:13:51.2770392Z 2025-08-14T22:13:51.2770502Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2770889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2770974Z layer_outputs = layer_module( 2025-08-14T22:13:51.2771206Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2771297Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2771593Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2771679Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2771985Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2772059Z self_outputs = self.self( 2025-08-14T22:13:51.2772369Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:13:51.2772493Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:13:51.2772877Z 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 2025-08-14T22:13:51.2773049Z context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value)) 2025-08-14T22:13:51.2773053Z 2025-08-14T22:13:51.2773167Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2773566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2773644Z layer_outputs = layer_module( 2025-08-14T22:13:51.2773883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2773978Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2774550Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2774647Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2774955Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2775030Z self_outputs = self.self( 2025-08-14T22:13:51.2775391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:13:51.2775535Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:13:51.2775927Z 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 2025-08-14T22:13:51.2776091Z context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value)) 2025-08-14T22:13:51.2776096Z 2025-08-14T22:13:51.2776206Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2776594Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2776672Z layer_outputs = layer_module( 2025-08-14T22:13:51.2776922Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2777043Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2777361Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2777447Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2777761Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2777833Z self_outputs = self.self( 2025-08-14T22:13:51.2778156Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 618, in forward 2025-08-14T22:13:51.2778367Z attn_output = attn_output.transpose(0, 1).reshape(seq_len, batch_size, embed_dim).contiguous() 2025-08-14T22:13:51.2778371Z 2025-08-14T22:13:51.2778487Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2778885Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2778966Z layer_outputs = layer_module( 2025-08-14T22:13:51.2779223Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2779305Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2779624Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2779696Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2779974Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward 2025-08-14T22:13:51.2780092Z attn_output = self.output(self_outputs[0], hidden_states) 2025-08-14T22:13:51.2780389Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward 2025-08-14T22:13:51.2780483Z hidden_states = self.dense(hidden_states) 2025-08-14T22:13:51.2780494Z 2025-08-14T22:13:51.2780578Z cudagraph partition due to non gpu ops 2025-08-14T22:13:51.2780660Z cudagraph partition due to non gpu ops 2025-08-14T22:13:51.2780746Z cudagraph partition due to non gpu ops 2025-08-14T22:13:51.2780825Z cudagraph partition due to non gpu ops 2025-08-14T22:13:51.2780931Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2781318Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2781394Z layer_outputs = layer_module( 2025-08-14T22:13:51.2781636Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2781725Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2782064Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2782165Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2782449Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2782515Z self_outputs = self.self( 2025-08-14T22:13:51.2782791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward 2025-08-14T22:13:51.2782870Z query_vectors = self.query(hidden_states) 2025-08-14T22:13:51.2782874Z 2025-08-14T22:13:51.2782978Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2783313Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2783398Z layer_outputs = layer_module( 2025-08-14T22:13:51.2783621Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2783697Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2783978Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2784049Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2784321Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2784392Z self_outputs = self.self( 2025-08-14T22:13:51.2784669Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward 2025-08-14T22:13:51.2784749Z query_vectors = self.query(hidden_states) 2025-08-14T22:13:51.2784752Z 2025-08-14T22:13:51.2784857Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2785210Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2785286Z layer_outputs = layer_module( 2025-08-14T22:13:51.2785505Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2785582Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2785872Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2785948Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2786258Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2786329Z self_outputs = self.self( 2025-08-14T22:13:51.2786627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-08-14T22:13:51.2786738Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-08-14T22:13:51.2787071Z 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 2025-08-14T22:13:51.2787260Z diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key)) # multiply 2025-08-14T22:13:51.2787263Z 2025-08-14T22:13:51.2787362Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2787708Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2787788Z layer_outputs = layer_module( 2025-08-14T22:13:51.2788008Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2788087Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2788431Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2788503Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2788780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2788847Z self_outputs = self.self( 2025-08-14T22:13:51.2789121Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 510, in forward 2025-08-14T22:13:51.2789202Z key_vectors = self.key(hidden_states) 2025-08-14T22:13:51.2789206Z 2025-08-14T22:13:51.2789303Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2789648Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2789736Z layer_outputs = layer_module( 2025-08-14T22:13:51.2789951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2790036Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2790306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2790386Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2790660Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2790728Z self_outputs = self.self( 2025-08-14T22:13:51.2791007Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-08-14T22:13:51.2791106Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-08-14T22:13:51.2791440Z 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 2025-08-14T22:13:51.2791604Z key = self._chunk(key, window_overlap, getattr(self.config, "onnx_export", False)) 2025-08-14T22:13:51.2791884Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 719, in _chunk 2025-08-14T22:13:51.2791965Z hidden_states = hidden_states.view( 2025-08-14T22:13:51.2791970Z 2025-08-14T22:13:51.2792078Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2792458Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2792542Z layer_outputs = layer_module( 2025-08-14T22:13:51.2792781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2792877Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2793181Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2793260Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2793580Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2793650Z self_outputs = self.self( 2025-08-14T22:13:51.2793943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-08-14T22:13:51.2794066Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-08-14T22:13:51.2794402Z 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 2025-08-14T22:13:51.2794627Z diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key)) # multiply 2025-08-14T22:13:51.2794672Z 2025-08-14T22:13:51.2794756Z cudagraph partition due to non gpu ops 2025-08-14T22:13:51.2794836Z cudagraph partition due to non gpu ops 2025-08-14T22:13:51.2794950Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2795317Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2795400Z layer_outputs = layer_module( 2025-08-14T22:13:51.2795632Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2795711Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2796014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2796110Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2796421Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2796493Z self_outputs = self.self( 2025-08-14T22:13:51.2796791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward 2025-08-14T22:13:51.2796873Z attn_scores += diagonal_mask 2025-08-14T22:13:51.2796876Z 2025-08-14T22:13:51.2796981Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2797357Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2797439Z layer_outputs = layer_module( 2025-08-14T22:13:51.2797675Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2797769Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2798076Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2798153Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2798460Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2798533Z self_outputs = self.self( 2025-08-14T22:13:51.2798848Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward 2025-08-14T22:13:51.2798933Z attn_probs = nn.functional.softmax( 2025-08-14T22:13:51.2798937Z 2025-08-14T22:13:51.2799047Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2799438Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2799519Z layer_outputs = layer_module( 2025-08-14T22:13:51.2799759Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2799851Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2800163Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2800246Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2800543Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2800615Z self_outputs = self.self( 2025-08-14T22:13:51.2800921Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 511, in forward 2025-08-14T22:13:51.2801010Z value_vectors = self.value(hidden_states) 2025-08-14T22:13:51.2801015Z 2025-08-14T22:13:51.2801178Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2801549Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2801623Z layer_outputs = layer_module( 2025-08-14T22:13:51.2801859Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2801940Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2802242Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2802321Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2802615Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2802712Z self_outputs = self.self( 2025-08-14T22:13:51.2803010Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:13:51.2803132Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:13:51.2803513Z 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 2025-08-14T22:13:51.2803695Z padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1) 2025-08-14T22:13:51.2803902Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T22:13:51.2804005Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T22:13:51.2804009Z 2025-08-14T22:13:51.2804115Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2804497Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2804573Z layer_outputs = layer_module( 2025-08-14T22:13:51.2804809Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2804890Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2805184Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2805268Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2805560Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2805638Z self_outputs = self.self( 2025-08-14T22:13:51.2805931Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:13:51.2806057Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:13:51.2806449Z 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 2025-08-14T22:13:51.2806604Z chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs) 2025-08-14T22:13:51.2806942Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize 2025-08-14T22:13:51.2807045Z chunked_hidden_states = nn.functional.pad( 2025-08-14T22:13:51.2807244Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T22:13:51.2807356Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T22:13:51.2807360Z 2025-08-14T22:13:51.2807466Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2807869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2807972Z layer_outputs = layer_module( 2025-08-14T22:13:51.2808211Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2808302Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2808612Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2808695Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2809007Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2809082Z self_outputs = self.self( 2025-08-14T22:13:51.2809394Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:13:51.2809551Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:13:51.2809936Z 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 2025-08-14T22:13:51.2810108Z context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value)) 2025-08-14T22:13:51.2810112Z 2025-08-14T22:13:51.2810220Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2810611Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2810690Z layer_outputs = layer_module( 2025-08-14T22:13:51.2810929Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2811019Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2811330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2811411Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2811724Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2811799Z self_outputs = self.self( 2025-08-14T22:13:51.2812114Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:13:51.2812236Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:13:51.2812620Z 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 2025-08-14T22:13:51.2812788Z context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value)) 2025-08-14T22:13:51.2812794Z 2025-08-14T22:13:51.2812904Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2813295Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2813370Z layer_outputs = layer_module( 2025-08-14T22:13:51.2813610Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2813704Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2814014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2814185Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2814508Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2814586Z self_outputs = self.self( 2025-08-14T22:13:51.2814938Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 618, in forward 2025-08-14T22:13:51.2815159Z attn_output = attn_output.transpose(0, 1).reshape(seq_len, batch_size, embed_dim).contiguous() 2025-08-14T22:13:51.2815164Z 2025-08-14T22:13:51.2815272Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2815670Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2815747Z layer_outputs = layer_module( 2025-08-14T22:13:51.2815992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2816079Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2816383Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2816498Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2816801Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward 2025-08-14T22:13:51.2816928Z attn_output = self.output(self_outputs[0], hidden_states) 2025-08-14T22:13:51.2817231Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward 2025-08-14T22:13:51.2817318Z hidden_states = self.dense(hidden_states) 2025-08-14T22:13:51.2817322Z 2025-08-14T22:13:51.2817415Z cudagraph partition due to non gpu ops 2025-08-14T22:13:51.2817499Z cudagraph partition due to non gpu ops 2025-08-14T22:13:51.2817579Z cudagraph partition due to non gpu ops 2025-08-14T22:13:51.2817668Z cudagraph partition due to non gpu ops 2025-08-14T22:13:51.2817775Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2818169Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2818247Z layer_outputs = layer_module( 2025-08-14T22:13:51.2818486Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2818577Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2818879Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2818965Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2819268Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2819340Z self_outputs = self.self( 2025-08-14T22:13:51.2819660Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward 2025-08-14T22:13:51.2819754Z query_vectors = self.query(hidden_states) 2025-08-14T22:13:51.2819758Z 2025-08-14T22:13:51.2819866Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2820255Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2820331Z layer_outputs = layer_module( 2025-08-14T22:13:51.2820575Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2820658Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2820960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2821047Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2821391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2821493Z self_outputs = self.self( 2025-08-14T22:13:51.2821807Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward 2025-08-14T22:13:51.2821894Z query_vectors = self.query(hidden_states) 2025-08-14T22:13:51.2821898Z 2025-08-14T22:13:51.2822013Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2822405Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2822481Z layer_outputs = layer_module( 2025-08-14T22:13:51.2822733Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2822815Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2823149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2823230Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2823542Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2823622Z self_outputs = self.self( 2025-08-14T22:13:51.2823932Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-08-14T22:13:51.2824049Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-08-14T22:13:51.2824428Z 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 2025-08-14T22:13:51.2824626Z diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key)) # multiply 2025-08-14T22:13:51.2824632Z 2025-08-14T22:13:51.2824748Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2825156Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2825237Z layer_outputs = layer_module( 2025-08-14T22:13:51.2825474Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2825555Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2825863Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2825941Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2826247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2826326Z self_outputs = self.self( 2025-08-14T22:13:51.2826629Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 510, in forward 2025-08-14T22:13:51.2826715Z key_vectors = self.key(hidden_states) 2025-08-14T22:13:51.2826719Z 2025-08-14T22:13:51.2826820Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2827179Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2827254Z layer_outputs = layer_module( 2025-08-14T22:13:51.2827477Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2827557Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2827846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2827921Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2828246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2828332Z self_outputs = self.self( 2025-08-14T22:13:51.2828618Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-08-14T22:13:51.2828720Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-08-14T22:13:51.2829063Z 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 2025-08-14T22:13:51.2829228Z key = self._chunk(key, window_overlap, getattr(self.config, "onnx_export", False)) 2025-08-14T22:13:51.2829511Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 719, in _chunk 2025-08-14T22:13:51.2829611Z hidden_states = hidden_states.view( 2025-08-14T22:13:51.2829623Z 2025-08-14T22:13:51.2829728Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2830239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2830325Z layer_outputs = layer_module( 2025-08-14T22:13:51.2830546Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2830623Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2830911Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2830985Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2831274Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2831344Z self_outputs = self.self( 2025-08-14T22:13:51.2831627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-08-14T22:13:51.2831736Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-08-14T22:13:51.2832084Z 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 2025-08-14T22:13:51.2832274Z diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key)) # multiply 2025-08-14T22:13:51.2832278Z 2025-08-14T22:13:51.2832358Z cudagraph partition due to non gpu ops 2025-08-14T22:13:51.2832439Z cudagraph partition due to non gpu ops 2025-08-14T22:13:51.2832553Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2832922Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2833003Z layer_outputs = layer_module( 2025-08-14T22:13:51.2833251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2833335Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2833648Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2833727Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2834034Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2834115Z self_outputs = self.self( 2025-08-14T22:13:51.2834426Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward 2025-08-14T22:13:51.2834505Z attn_scores += diagonal_mask 2025-08-14T22:13:51.2834510Z 2025-08-14T22:13:51.2834687Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2835061Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2835139Z layer_outputs = layer_module( 2025-08-14T22:13:51.2835361Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2835437Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2835734Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2835815Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2836120Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2836217Z self_outputs = self.self( 2025-08-14T22:13:51.2836512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward 2025-08-14T22:13:51.2836601Z attn_probs = nn.functional.softmax( 2025-08-14T22:13:51.2836605Z 2025-08-14T22:13:51.2836706Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2837062Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2837133Z layer_outputs = layer_module( 2025-08-14T22:13:51.2837353Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2837438Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2837719Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2837794Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2838091Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2838158Z self_outputs = self.self( 2025-08-14T22:13:51.2838444Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 511, in forward 2025-08-14T22:13:51.2838530Z value_vectors = self.value(hidden_states) 2025-08-14T22:13:51.2838533Z 2025-08-14T22:13:51.2838634Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2838993Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2839063Z layer_outputs = layer_module( 2025-08-14T22:13:51.2839290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2839371Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2839657Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2839738Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2840022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2840097Z self_outputs = self.self( 2025-08-14T22:13:51.2840377Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:13:51.2840494Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:13:51.2840856Z 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 2025-08-14T22:13:51.2841043Z padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1) 2025-08-14T22:13:51.2841278Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T22:13:51.2841382Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T22:13:51.2841386Z 2025-08-14T22:13:51.2841483Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2841831Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2841899Z layer_outputs = layer_module( 2025-08-14T22:13:51.2842113Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2842196Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2842468Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2842570Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2842849Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2842919Z self_outputs = self.self( 2025-08-14T22:13:51.2843205Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:13:51.2843320Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:13:51.2843696Z 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 2025-08-14T22:13:51.2843840Z chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs) 2025-08-14T22:13:51.2844178Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize 2025-08-14T22:13:51.2844292Z chunked_hidden_states = nn.functional.pad( 2025-08-14T22:13:51.2844502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T22:13:51.2844608Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T22:13:51.2844619Z 2025-08-14T22:13:51.2844729Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2845111Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2845196Z layer_outputs = layer_module( 2025-08-14T22:13:51.2845435Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2845520Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2845828Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2845916Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2846234Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2846299Z self_outputs = self.self( 2025-08-14T22:13:51.2846569Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:13:51.2846696Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:13:51.2847037Z 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 2025-08-14T22:13:51.2847188Z context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value)) 2025-08-14T22:13:51.2847191Z 2025-08-14T22:13:51.2847288Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2847700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2847802Z layer_outputs = layer_module( 2025-08-14T22:13:51.2848035Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2848123Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2848417Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2848494Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2848795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2848866Z self_outputs = self.self( 2025-08-14T22:13:51.2849159Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:13:51.2849314Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:13:51.2849695Z 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 2025-08-14T22:13:51.2849864Z context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value)) 2025-08-14T22:13:51.2849869Z 2025-08-14T22:13:51.2849978Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2850357Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2850441Z layer_outputs = layer_module( 2025-08-14T22:13:51.2850684Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2850774Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2851077Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2851154Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2851456Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2851529Z self_outputs = self.self( 2025-08-14T22:13:51.2851831Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 618, in forward 2025-08-14T22:13:51.2852031Z attn_output = attn_output.transpose(0, 1).reshape(seq_len, batch_size, embed_dim).contiguous() 2025-08-14T22:13:51.2852035Z 2025-08-14T22:13:51.2852146Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2852538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2852617Z layer_outputs = layer_module( 2025-08-14T22:13:51.2852854Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2852947Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2853247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2853334Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2853642Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward 2025-08-14T22:13:51.2853764Z attn_output = self.output(self_outputs[0], hidden_states) 2025-08-14T22:13:51.2854134Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward 2025-08-14T22:13:51.2854236Z hidden_states = self.dense(hidden_states) 2025-08-14T22:13:51.2854298Z 2025-08-14T22:13:51.2854394Z cudagraph partition due to non gpu ops 2025-08-14T22:13:51.2854480Z cudagraph partition due to non gpu ops 2025-08-14T22:13:51.2854562Z cudagraph partition due to non gpu ops 2025-08-14T22:13:51.2854649Z cudagraph partition due to non gpu ops 2025-08-14T22:13:51.2854757Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2855148Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2855230Z layer_outputs = layer_module( 2025-08-14T22:13:51.2855463Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2855553Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2855857Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2855952Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2856240Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2856307Z self_outputs = self.self( 2025-08-14T22:13:51.2856597Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward 2025-08-14T22:13:51.2856678Z query_vectors = self.query(hidden_states) 2025-08-14T22:13:51.2856682Z 2025-08-14T22:13:51.2856781Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2857140Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2857215Z layer_outputs = layer_module( 2025-08-14T22:13:51.2857460Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2857552Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2857865Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2857949Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2858247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2858318Z self_outputs = self.self( 2025-08-14T22:13:51.2858634Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward 2025-08-14T22:13:51.2858723Z query_vectors = self.query(hidden_states) 2025-08-14T22:13:51.2858726Z 2025-08-14T22:13:51.2858841Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2859231Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2859307Z layer_outputs = layer_module( 2025-08-14T22:13:51.2859555Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2859638Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2859943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2860029Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2860335Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2860416Z self_outputs = self.self( 2025-08-14T22:13:51.2860722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-08-14T22:13:51.2860889Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-08-14T22:13:51.2861275Z 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 2025-08-14T22:13:51.2861486Z diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key)) # multiply 2025-08-14T22:13:51.2861490Z 2025-08-14T22:13:51.2861608Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2861991Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2862066Z layer_outputs = layer_module( 2025-08-14T22:13:51.2862313Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2862416Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2862733Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2862812Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2863184Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2863265Z self_outputs = self.self( 2025-08-14T22:13:51.2863568Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 510, in forward 2025-08-14T22:13:51.2863653Z key_vectors = self.key(hidden_states) 2025-08-14T22:13:51.2863664Z 2025-08-14T22:13:51.2863771Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2864153Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2864239Z layer_outputs = layer_module( 2025-08-14T22:13:51.2864480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2864564Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2864875Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2864954Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2865263Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2865335Z self_outputs = self.self( 2025-08-14T22:13:51.2865676Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-08-14T22:13:51.2865794Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-08-14T22:13:51.2866202Z 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 2025-08-14T22:13:51.2866373Z key = self._chunk(key, window_overlap, getattr(self.config, "onnx_export", False)) 2025-08-14T22:13:51.2866666Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 719, in _chunk 2025-08-14T22:13:51.2866745Z hidden_states = hidden_states.view( 2025-08-14T22:13:51.2866748Z 2025-08-14T22:13:51.2866860Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2867226Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2867306Z layer_outputs = layer_module( 2025-08-14T22:13:51.2867537Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2867619Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2867974Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2868053Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2868347Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2868428Z self_outputs = self.self( 2025-08-14T22:13:51.2868721Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-08-14T22:13:51.2868834Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-08-14T22:13:51.2869193Z 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 2025-08-14T22:13:51.2869444Z diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key)) # multiply 2025-08-14T22:13:51.2869452Z 2025-08-14T22:13:51.2869545Z cudagraph partition due to non gpu ops 2025-08-14T22:13:51.2869624Z cudagraph partition due to non gpu ops 2025-08-14T22:13:51.2869735Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2870103Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2870176Z layer_outputs = layer_module( 2025-08-14T22:13:51.2870412Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2870490Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2870785Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2870880Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2871164Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2871239Z self_outputs = self.self( 2025-08-14T22:13:51.2871514Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward 2025-08-14T22:13:51.2871584Z attn_scores += diagonal_mask 2025-08-14T22:13:51.2871587Z 2025-08-14T22:13:51.2871698Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2872044Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2872118Z layer_outputs = layer_module( 2025-08-14T22:13:51.2872336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2872413Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2872703Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2872776Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2873052Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2873126Z self_outputs = self.self( 2025-08-14T22:13:51.2873404Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward 2025-08-14T22:13:51.2873487Z attn_probs = nn.functional.softmax( 2025-08-14T22:13:51.2873490Z 2025-08-14T22:13:51.2873588Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2873934Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2874046Z layer_outputs = layer_module( 2025-08-14T22:13:51.2874280Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2874365Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2874644Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2874716Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2875000Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2875070Z self_outputs = self.self( 2025-08-14T22:13:51.2875376Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 511, in forward 2025-08-14T22:13:51.2875462Z value_vectors = self.value(hidden_states) 2025-08-14T22:13:51.2875483Z 2025-08-14T22:13:51.2875593Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2875970Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2876044Z layer_outputs = layer_module( 2025-08-14T22:13:51.2876277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2876367Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2876661Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2876746Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2877049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2877119Z self_outputs = self.self( 2025-08-14T22:13:51.2877406Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:13:51.2877526Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:13:51.2877883Z 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 2025-08-14T22:13:51.2878055Z padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1) 2025-08-14T22:13:51.2878249Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T22:13:51.2878356Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T22:13:51.2878360Z 2025-08-14T22:13:51.2878460Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2878824Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2878905Z layer_outputs = layer_module( 2025-08-14T22:13:51.2879138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2879228Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2879520Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2879597Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2879904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2879973Z self_outputs = self.self( 2025-08-14T22:13:51.2880273Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:13:51.2880397Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:13:51.2880828Z 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 2025-08-14T22:13:51.2880974Z chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs) 2025-08-14T22:13:51.2881289Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize 2025-08-14T22:13:51.2881386Z chunked_hidden_states = nn.functional.pad( 2025-08-14T22:13:51.2881573Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T22:13:51.2881669Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T22:13:51.2881673Z 2025-08-14T22:13:51.2881781Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2882142Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2882242Z layer_outputs = layer_module( 2025-08-14T22:13:51.2882455Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2882529Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2882806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2882879Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2883149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2883222Z self_outputs = self.self( 2025-08-14T22:13:51.2883491Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:13:51.2883614Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:13:51.2883957Z 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 2025-08-14T22:13:51.2884102Z context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value)) 2025-08-14T22:13:51.2884106Z 2025-08-14T22:13:51.2884212Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2884560Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2884637Z layer_outputs = layer_module( 2025-08-14T22:13:51.2884857Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2884934Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2885226Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2885302Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2885587Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2885656Z self_outputs = self.self( 2025-08-14T22:13:51.2885933Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:13:51.2886055Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:13:51.2886403Z 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 2025-08-14T22:13:51.2886549Z context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value)) 2025-08-14T22:13:51.2886561Z 2025-08-14T22:13:51.2886661Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2887064Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2887145Z layer_outputs = layer_module( 2025-08-14T22:13:51.2887363Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2887438Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2887719Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2887791Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2888074Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2888161Z self_outputs = self.self( 2025-08-14T22:13:51.2888438Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 618, in forward 2025-08-14T22:13:51.2888634Z attn_output = attn_output.transpose(0, 1).reshape(seq_len, batch_size, embed_dim).contiguous() 2025-08-14T22:13:51.2888638Z 2025-08-14T22:13:51.2888737Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2889092Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2889161Z layer_outputs = layer_module( 2025-08-14T22:13:51.2889391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2889481Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2889775Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2889854Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2890158Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward 2025-08-14T22:13:51.2890275Z attn_output = self.output(self_outputs[0], hidden_states) 2025-08-14T22:13:51.2890575Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward 2025-08-14T22:13:51.2890662Z hidden_states = self.dense(hidden_states) 2025-08-14T22:13:51.2890665Z 2025-08-14T22:13:51.2890747Z cudagraph partition due to non gpu ops 2025-08-14T22:13:51.2890835Z cudagraph partition due to non gpu ops 2025-08-14T22:13:51.2890915Z cudagraph partition due to non gpu ops 2025-08-14T22:13:51.2890998Z cudagraph partition due to non gpu ops 2025-08-14T22:13:51.2891102Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2891474Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2891555Z layer_outputs = layer_module( 2025-08-14T22:13:51.2891788Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2891872Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2892188Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2892267Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2892583Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2892657Z self_outputs = self.self( 2025-08-14T22:13:51.2892966Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward 2025-08-14T22:13:51.2893102Z query_vectors = self.query(hidden_states) 2025-08-14T22:13:51.2893131Z 2025-08-14T22:13:51.2893241Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2893637Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2893712Z layer_outputs = layer_module( 2025-08-14T22:13:51.2893950Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2894106Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2894429Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2894510Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2894826Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2894933Z self_outputs = self.self( 2025-08-14T22:13:51.2895250Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward 2025-08-14T22:13:51.2895342Z query_vectors = self.query(hidden_states) 2025-08-14T22:13:51.2895346Z 2025-08-14T22:13:51.2895456Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2895838Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2895908Z layer_outputs = layer_module( 2025-08-14T22:13:51.2896132Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2896208Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2896491Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2896575Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2896859Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2896936Z self_outputs = self.self( 2025-08-14T22:13:51.2897216Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-08-14T22:13:51.2897319Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-08-14T22:13:51.2897671Z 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 2025-08-14T22:13:51.2897862Z diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key)) # multiply 2025-08-14T22:13:51.2897868Z 2025-08-14T22:13:51.2897976Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2898362Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2898436Z layer_outputs = layer_module( 2025-08-14T22:13:51.2898676Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2898757Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2899053Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2899140Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2899436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2899515Z self_outputs = self.self( 2025-08-14T22:13:51.2899857Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 510, in forward 2025-08-14T22:13:51.2899952Z key_vectors = self.key(hidden_states) 2025-08-14T22:13:51.2899956Z 2025-08-14T22:13:51.2900064Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2900422Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2900502Z layer_outputs = layer_module( 2025-08-14T22:13:51.2900735Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2900816Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2901116Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2901215Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2901514Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2901596Z self_outputs = self.self( 2025-08-14T22:13:51.2901893Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-08-14T22:13:51.2902007Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-08-14T22:13:51.2902368Z 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 2025-08-14T22:13:51.2902530Z key = self._chunk(key, window_overlap, getattr(self.config, "onnx_export", False)) 2025-08-14T22:13:51.2902838Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 719, in _chunk 2025-08-14T22:13:51.2902916Z hidden_states = hidden_states.view( 2025-08-14T22:13:51.2902922Z 2025-08-14T22:13:51.2903039Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2903409Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2903484Z layer_outputs = layer_module( 2025-08-14T22:13:51.2903723Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2903804Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2904106Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2904184Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2904480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2904564Z self_outputs = self.self( 2025-08-14T22:13:51.2904860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward 2025-08-14T22:13:51.2904966Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-08-14T22:13:51.2905332Z 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 2025-08-14T22:13:51.2905531Z diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key)) # multiply 2025-08-14T22:13:51.2905535Z 2025-08-14T22:13:51.2905628Z cudagraph partition due to non gpu ops 2025-08-14T22:13:51.2905710Z cudagraph partition due to non gpu ops 2025-08-14T22:13:51.2905821Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2906210Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2906288Z layer_outputs = layer_module( 2025-08-14T22:13:51.2906586Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2906671Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2906976Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2907063Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2907365Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2907437Z self_outputs = self.self( 2025-08-14T22:13:51.2907753Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward 2025-08-14T22:13:51.2907827Z attn_scores += diagonal_mask 2025-08-14T22:13:51.2907850Z 2025-08-14T22:13:51.2907966Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2908342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2908416Z layer_outputs = layer_module( 2025-08-14T22:13:51.2908654Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2908735Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2909032Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2909109Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2909397Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2909476Z self_outputs = self.self( 2025-08-14T22:13:51.2909774Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward 2025-08-14T22:13:51.2909856Z attn_probs = nn.functional.softmax( 2025-08-14T22:13:51.2909866Z 2025-08-14T22:13:51.2909972Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2910335Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2910412Z layer_outputs = layer_module( 2025-08-14T22:13:51.2910629Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2910704Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2910992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2911065Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2911356Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2911426Z self_outputs = self.self( 2025-08-14T22:13:51.2911704Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 511, in forward 2025-08-14T22:13:51.2911793Z value_vectors = self.value(hidden_states) 2025-08-14T22:13:51.2911796Z 2025-08-14T22:13:51.2911896Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2912255Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2912325Z layer_outputs = layer_module( 2025-08-14T22:13:51.2912548Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2912642Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2913011Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2913095Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2913406Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2913481Z self_outputs = self.self( 2025-08-14T22:13:51.2913795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:13:51.2913922Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:13:51.2914308Z 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 2025-08-14T22:13:51.2914528Z padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1) 2025-08-14T22:13:51.2914741Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T22:13:51.2914847Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T22:13:51.2914851Z 2025-08-14T22:13:51.2914951Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2915300Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2915381Z layer_outputs = layer_module( 2025-08-14T22:13:51.2915600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2915686Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2915966Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2916041Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2916331Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2916398Z self_outputs = self.self( 2025-08-14T22:13:51.2916697Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:13:51.2916830Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:13:51.2917198Z 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 2025-08-14T22:13:51.2917347Z chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs) 2025-08-14T22:13:51.2917684Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize 2025-08-14T22:13:51.2917783Z chunked_hidden_states = nn.functional.pad( 2025-08-14T22:13:51.2917993Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T22:13:51.2918094Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T22:13:51.2918100Z 2025-08-14T22:13:51.2918212Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2918579Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2918649Z layer_outputs = layer_module( 2025-08-14T22:13:51.2918874Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2918950Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2919237Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2919373Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2919656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2919733Z self_outputs = self.self( 2025-08-14T22:13:51.2920015Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:13:51.2920130Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:13:51.2920499Z 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 2025-08-14T22:13:51.2920659Z context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value)) 2025-08-14T22:13:51.2920663Z 2025-08-14T22:13:51.2920775Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2921177Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2921255Z layer_outputs = layer_module( 2025-08-14T22:13:51.2921503Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2921584Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2921895Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2921972Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2922277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2922355Z self_outputs = self.self( 2025-08-14T22:13:51.2922656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-08-14T22:13:51.2922782Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-08-14T22:13:51.2923134Z 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 2025-08-14T22:13:51.2923284Z context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value)) 2025-08-14T22:13:51.2923288Z 2025-08-14T22:13:51.2923395Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2923750Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2923827Z layer_outputs = layer_module( 2025-08-14T22:13:51.2924049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2924127Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2924418Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2924492Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2924772Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-08-14T22:13:51.2924848Z self_outputs = self.self( 2025-08-14T22:13:51.2925127Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 618, in forward 2025-08-14T22:13:51.2925319Z attn_output = attn_output.transpose(0, 1).reshape(seq_len, batch_size, embed_dim).contiguous() 2025-08-14T22:13:51.2925322Z 2025-08-14T22:13:51.2925422Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:13:51.2925777Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-08-14T22:13:51.2925910Z layer_outputs = layer_module( 2025-08-14T22:13:51.2926130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:13:51.2926211Z return super().__call__(*args, **kwargs) 2025-08-14T22:13:51.2926489Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-08-14T22:13:51.2926563Z self_attn_outputs = self.attention( 2025-08-14T22:13:51.2926850Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward 2025-08-14T22:13:51.2926961Z attn_output = self.output(self_outputs[0], hidden_states) 2025-08-14T22:13:51.2927280Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward 2025-08-14T22:13:51.2927386Z hidden_states = self.dense(hidden_states) 2025-08-14T22:13:51.2927394Z 2025-08-14T22:13:51.2927477Z cudagraph partition due to non gpu ops 2025-08-14T22:13:51.2927566Z cudagraph partition due to non gpu ops 2025-08-14T22:13:51.2927646Z cudagraph partition due to non gpu ops 2025-08-14T22:13:51.2927724Z cudagraph partition due to non gpu ops 2025-08-14T22:14:08.1554468Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:08.1555217Z 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 2025-08-14T22:14:08.1555789Z prediction_scores = self.lm_head(sequence_output) 2025-08-14T22:14:08.1556314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1333, in forward 2025-08-14T22:14:08.1556843Z x = self.dense(features) 2025-08-14T22:14:08.1556987Z 2025-08-14T22:14:08.1557121Z cudagraph partition due to non gpu ops 2025-08-14T22:14:08.1557380Z cudagraph partition due to non gpu ops 2025-08-14T22:14:08.1557617Z cudagraph partition due to non gpu ops 2025-08-14T22:14:08.1557861Z cudagraph partition due to non gpu ops 2025-08-14T22:14:12.4624864Z Compilation time (from dynamo_timed): 48.041838773 2025-08-14T22:14:12.4938535Z pass 2025-08-14T22:14:12.4939031Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T22:14:12.4939922Z TIMING: _recursive_pre_grad_passes:0.14026 _recursive_joint_graph_passes:0.95715 inductor_compile:28.48703 backend_compile:42.48143 gc:0.00482 entire_frame_compile:48.04184 _recursive_post_grad_passes:1.04291 async_compile.wait:3.71439 code_gen:23.9384 total_wall_time:48.04184 2025-08-14T22:14:12.4941160Z STATS: call_* op count: 1785 | FakeTensorMode.__torch_dispatch__:75082 | FakeTensor.__torch_dispatch__:9546 | ProxyTorchDispatchMode.__torch_dispatch__:19706 2025-08-14T22:14:12.4941759Z Dynamo produced 5 graphs covering 1785 ops with 4 graph breaks (1 unique) 2025-08-14T22:14:17.7353519Z 2025-08-14T22:14:19.0904842Z 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)`. 2025-08-14T22:14:19.0906960Z 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)`. 2025-08-14T22:14:19.2861573Z 2025-08-14T22:14:19.2862160Z loading model: 0it [00:01, ?it/s] 2025-08-14T22:14:19.2862644Z cpu eval hf_Reformer 2025-08-14T22:14:21.2018183Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T22:14:21.5207465Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T22:14:21.8054729Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T22:14:23.8188857Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:23.8193656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 2095, in forward 2025-08-14T22:14:23.8194228Z least_common_mult_chunk_length = _get_least_common_mult_chunk_len(self.config) 2025-08-14T22:14:23.8198794Z 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 2025-08-14T22:14:23.8199490Z return np.lcm(config.lsh_attn_chunk_length, config.local_attn_chunk_length) 2025-08-14T22:14:23.8199728Z 2025-08-14T22:14:23.8199852Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:23.8200692Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 2099, in forward 2025-08-14T22:14:23.8201195Z input_shape[-1] % least_common_mult_chunk_length != 0 2025-08-14T22:14:23.8201378Z 2025-08-14T22:14:29.8804128Z W0814 22:14:29.878705 21854 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0] Graph break from `Tensor.item()`, consider setting: 2025-08-14T22:14:29.8804853Z W0814 22:14:29.878705 21854 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0] torch._dynamo.config.capture_scalar_outputs = True 2025-08-14T22:14:29.8805417Z W0814 22:14:29.878705 21854 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0] or: 2025-08-14T22:14:29.8805941Z W0814 22:14:29.878705 21854 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0] env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1 2025-08-14T22:14:29.8806548Z W0814 22:14:29.878705 21854 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0] to include these operations in the captured graph. 2025-08-14T22:14:29.8807117Z W0814 22:14:29.878705 21854 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0] 2025-08-14T22:14:29.8807604Z W0814 22:14:29.878705 21854 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0] Graph break: from user code at: 2025-08-14T22:14:29.8808520Z W0814 22:14:29.878705 21854 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 2025-08-14T22:14:29.8809447Z W0814 22:14:29.878705 21854 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0] embedding_output = self.embeddings( 2025-08-14T22:14:29.8810258Z W0814 22:14:29.878705 21854 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 2025-08-14T22:14:29.8811206Z W0814 22:14:29.878705 21854 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0] position_embeddings = self.position_embeddings(position_ids) 2025-08-14T22:14:29.8812078Z W0814 22:14:29.878705 21854 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 2025-08-14T22:14:29.8812890Z W0814 22:14:29.878705 21854 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0] max_position_id = position_ids.max().item() 2025-08-14T22:14:29.8813388Z W0814 22:14:29.878705 21854 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0] 2025-08-14T22:14:29.8813795Z W0814 22:14:29.878705 21854 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0] 2025-08-14T22:14:30.0491338Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:30.0491958Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 351, in forward 2025-08-14T22:14:30.0492444Z position_ids = torch.arange( 2025-08-14T22:14:30.0493046Z 2025-08-14T22:14:30.0493168Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:30.0493644Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 357, in forward 2025-08-14T22:14:30.0494336Z inputs_embeds = self.word_embeddings(input_ids) 2025-08-14T22:14:30.0494514Z 2025-08-14T22:14:31.1172792Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:31.1176043Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 293, in forward 2025-08-14T22:14:31.1176516Z max_position_id = position_ids.max().item() 2025-08-14T22:14:31.1176667Z 2025-08-14T22:14:31.9312177Z cudagraph partition due to non gpu ops 2025-08-14T22:14:31.9312573Z cudagraph partition due to non gpu ops 2025-08-14T22:14:31.9312864Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:31.9313862Z 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 2025-08-14T22:14:31.9314407Z position_encodings = torch.cat( 2025-08-14T22:14:31.9314562Z 2025-08-14T22:14:31.9314677Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:31.9315288Z 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 2025-08-14T22:14:31.9315819Z position_encodings = torch.cat( 2025-08-14T22:14:31.9315957Z 2025-08-14T22:14:32.7464149Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:32.7466896Z 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 2025-08-14T22:14:32.7467542Z embeddings = embeddings + position_embeddings 2025-08-14T22:14:32.7467767Z 2025-08-14T22:14:39.6820086Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:39.6820870Z 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 2025-08-14T22:14:39.6821449Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:14:39.6821951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:14:39.6822424Z layer_outputs = layer( 2025-08-14T22:14:39.6822862Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:14:39.6823321Z attn_outputs = self.attention( 2025-08-14T22:14:39.6823760Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:14:39.6824241Z self_attention_outputs = self.self_attention( 2025-08-14T22:14:39.6824703Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward 2025-08-14T22:14:39.6825251Z buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask) 2025-08-14T22:14:39.6825789Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 749, in _hash_vectors 2025-08-14T22:14:39.6827733Z random_rotations = torch.randn(rotations_shape, device=vectors.device, dtype=vectors.dtype) 2025-08-14T22:14:39.6828194Z 2025-08-14T22:14:39.6828368Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:39.6829669Z 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 2025-08-14T22:14:39.6830468Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:14:39.6831427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:14:39.6831994Z layer_outputs = layer( 2025-08-14T22:14:39.6832462Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:14:39.6832913Z attn_outputs = self.attention( 2025-08-14T22:14:39.6833370Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:14:39.6833828Z self_attention_outputs = self.self_attention( 2025-08-14T22:14:39.6834296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 587, in forward 2025-08-14T22:14:39.6834899Z sorted_bucket_idx, undo_sorted_bucket_idx = self._get_sorted_bucket_idx_and_undo_sorted_bucket_idx( 2025-08-14T22:14:39.6835584Z 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 2025-08-14T22:14:39.6836258Z undo_sorted_bucket_idx.scatter_(-1, sorted_bucket_idx, indices) 2025-08-14T22:14:39.6836503Z 2025-08-14T22:14:39.6836629Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:39.6837224Z 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 2025-08-14T22:14:39.6837833Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:14:39.6838291Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:14:39.6838746Z layer_outputs = layer( 2025-08-14T22:14:39.6839176Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:14:39.6839696Z attn_outputs = self.attention( 2025-08-14T22:14:39.6840142Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:14:39.6840613Z self_attention_outputs = self.self_attention( 2025-08-14T22:14:39.6841070Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 587, in forward 2025-08-14T22:14:39.6841643Z sorted_bucket_idx, undo_sorted_bucket_idx = self._get_sorted_bucket_idx_and_undo_sorted_bucket_idx( 2025-08-14T22:14:39.6842323Z 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 2025-08-14T22:14:39.6842895Z sorted_bucket_idx = _stable_argsort(buckets, dim=-1) 2025-08-14T22:14:39.6843396Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 180, in _stable_argsort 2025-08-14T22:14:39.6843964Z scale_offset = torch.arange(vector.shape[dim], device=vector.device).view(1, 1, -1) 2025-08-14T22:14:39.6844220Z 2025-08-14T22:14:39.6844338Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:39.6844881Z 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 2025-08-14T22:14:39.6845418Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:14:39.6845872Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:14:39.6846323Z layer_outputs = layer( 2025-08-14T22:14:39.6846747Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:14:39.6847197Z attn_outputs = self.attention( 2025-08-14T22:14:39.6847642Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:14:39.6848206Z self_attention_outputs = self.self_attention( 2025-08-14T22:14:39.6848677Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward 2025-08-14T22:14:39.6849191Z buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask) 2025-08-14T22:14:39.6849712Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 749, in _hash_vectors 2025-08-14T22:14:39.6850295Z random_rotations = torch.randn(rotations_shape, device=vectors.device, dtype=vectors.dtype) 2025-08-14T22:14:39.6850567Z 2025-08-14T22:14:39.6850693Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:39.6851237Z 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 2025-08-14T22:14:39.6851809Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:14:39.6852282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:14:39.6852722Z layer_outputs = layer( 2025-08-14T22:14:39.6853140Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:14:39.6853593Z attn_outputs = self.attention( 2025-08-14T22:14:39.6854041Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:14:39.6854611Z self_attention_outputs = self.self_attention( 2025-08-14T22:14:39.6855067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 587, in forward 2025-08-14T22:14:39.6855627Z sorted_bucket_idx, undo_sorted_bucket_idx = self._get_sorted_bucket_idx_and_undo_sorted_bucket_idx( 2025-08-14T22:14:39.6856313Z 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 2025-08-14T22:14:39.6856905Z undo_sorted_bucket_idx.scatter_(-1, sorted_bucket_idx, indices) 2025-08-14T22:14:39.6857111Z 2025-08-14T22:14:39.6857223Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:39.6857758Z 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 2025-08-14T22:14:39.6858313Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:14:39.6858770Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:14:39.6859206Z layer_outputs = layer( 2025-08-14T22:14:39.6859646Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:14:39.6860097Z attn_outputs = self.attention( 2025-08-14T22:14:39.6860514Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:14:39.6860978Z self_attention_outputs = self.self_attention( 2025-08-14T22:14:39.6861422Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward 2025-08-14T22:14:39.6861932Z buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask) 2025-08-14T22:14:39.6862458Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 749, in _hash_vectors 2025-08-14T22:14:39.6863050Z random_rotations = torch.randn(rotations_shape, device=vectors.device, dtype=vectors.dtype) 2025-08-14T22:14:39.6863446Z 2025-08-14T22:14:39.6863608Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:39.6865058Z 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 2025-08-14T22:14:39.6865638Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:14:39.6866110Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:14:39.6866564Z layer_outputs = layer( 2025-08-14T22:14:39.6866966Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:14:39.6867394Z attn_outputs = self.attention( 2025-08-14T22:14:39.6867814Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:14:39.6868274Z self_attention_outputs = self.self_attention( 2025-08-14T22:14:39.6868766Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 587, in forward 2025-08-14T22:14:39.6869329Z sorted_bucket_idx, undo_sorted_bucket_idx = self._get_sorted_bucket_idx_and_undo_sorted_bucket_idx( 2025-08-14T22:14:39.6869969Z 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 2025-08-14T22:14:39.6870553Z undo_sorted_bucket_idx.scatter_(-1, sorted_bucket_idx, indices) 2025-08-14T22:14:39.6870744Z 2025-08-14T22:14:39.6870838Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.6871077Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.6871303Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.6871524Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.6871733Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.6871949Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.6872481Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:39.6873012Z 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 2025-08-14T22:14:39.6873544Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:14:39.6873994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:14:39.6874432Z layer_outputs = layer( 2025-08-14T22:14:39.6874844Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:14:39.6875296Z attn_outputs = self.attention( 2025-08-14T22:14:39.6875732Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:14:39.6876191Z self_attention_outputs = self.self_attention( 2025-08-14T22:14:39.6876649Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1265, in forward 2025-08-14T22:14:39.6877213Z key_vectors = self._look_adjacent(key_vectors, self.num_chunks_before, self.num_chunks_after) 2025-08-14T22:14:39.6877799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent 2025-08-14T22:14:39.6878334Z slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2)) 2025-08-14T22:14:39.6878568Z 2025-08-14T22:14:39.6878654Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.6878897Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.6879160Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:39.6879703Z 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 2025-08-14T22:14:39.6880248Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:14:39.6880799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:14:39.6881240Z layer_outputs = layer( 2025-08-14T22:14:39.6881661Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:14:39.6882111Z attn_outputs = self.attention( 2025-08-14T22:14:39.6882552Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:14:39.6883015Z self_attention_outputs = self.self_attention( 2025-08-14T22:14:39.6883486Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1265, in forward 2025-08-14T22:14:39.6884079Z key_vectors = self._look_adjacent(key_vectors, self.num_chunks_before, self.num_chunks_after) 2025-08-14T22:14:39.6884689Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 400, in _look_adjacent 2025-08-14T22:14:39.6885212Z return torch.cat(slices, dim=3) 2025-08-14T22:14:39.6885365Z 2025-08-14T22:14:39.6885500Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:39.6886050Z 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 2025-08-14T22:14:39.6886589Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:14:39.6887052Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:14:39.6887518Z layer_outputs = layer( 2025-08-14T22:14:39.6887968Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:14:39.6888420Z attn_outputs = self.attention( 2025-08-14T22:14:39.6888886Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:14:39.6889351Z self_attention_outputs = self.self_attention( 2025-08-14T22:14:39.6889835Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1272, in forward 2025-08-14T22:14:39.6890386Z query_key_dots = torch.matmul(query_vectors, key_vectors.transpose(-1, -2)) 2025-08-14T22:14:39.6890622Z 2025-08-14T22:14:39.6890738Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:39.6891301Z 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 2025-08-14T22:14:39.6891843Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:14:39.6892299Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:14:39.6892748Z layer_outputs = layer( 2025-08-14T22:14:39.6893175Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:14:39.6893622Z attn_outputs = self.attention( 2025-08-14T22:14:39.6894056Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:14:39.6894803Z self_attention_outputs = self.self_attention( 2025-08-14T22:14:39.6895270Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1272, in forward 2025-08-14T22:14:39.6895790Z query_key_dots = torch.matmul(query_vectors, key_vectors.transpose(-1, -2)) 2025-08-14T22:14:39.6896026Z 2025-08-14T22:14:39.6896114Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.6896356Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.6896593Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.6896876Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.6897134Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:39.6897693Z 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 2025-08-14T22:14:39.6898229Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:14:39.6898683Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:14:39.6899125Z layer_outputs = layer( 2025-08-14T22:14:39.6899542Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:14:39.6899976Z attn_outputs = self.attention( 2025-08-14T22:14:39.6900410Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:14:39.6900912Z self_attention_outputs = self.self_attention( 2025-08-14T22:14:39.6901386Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1266, in forward 2025-08-14T22:14:39.6901964Z value_vectors = self._look_adjacent(value_vectors, self.num_chunks_before, self.num_chunks_after) 2025-08-14T22:14:39.6902564Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent 2025-08-14T22:14:39.6903117Z slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2)) 2025-08-14T22:14:39.6903344Z 2025-08-14T22:14:39.6903440Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.6903670Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.6903937Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:39.6904506Z 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 2025-08-14T22:14:39.6905051Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:14:39.6905521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:14:39.6905964Z layer_outputs = layer( 2025-08-14T22:14:39.6906400Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:14:39.6906832Z attn_outputs = self.attention( 2025-08-14T22:14:39.6907266Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:14:39.6907720Z self_attention_outputs = self.self_attention( 2025-08-14T22:14:39.6908196Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1308, in forward 2025-08-14T22:14:39.6908691Z out_vectors = torch.matmul(attention_probs, value_vectors) 2025-08-14T22:14:39.6908888Z 2025-08-14T22:14:39.6909004Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:39.6909558Z 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 2025-08-14T22:14:39.6910097Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:14:39.6910554Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:14:39.6911000Z layer_outputs = layer( 2025-08-14T22:14:39.6911427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:14:39.6911872Z attn_outputs = self.attention( 2025-08-14T22:14:39.6912317Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:14:39.6912831Z self_attention_outputs = self.self_attention( 2025-08-14T22:14:39.6913283Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1308, in forward 2025-08-14T22:14:39.6913773Z out_vectors = torch.matmul(attention_probs, value_vectors) 2025-08-14T22:14:39.6913963Z 2025-08-14T22:14:39.6914074Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:39.6914608Z 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 2025-08-14T22:14:39.6915132Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:14:39.6915570Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:14:39.6916017Z layer_outputs = layer( 2025-08-14T22:14:39.6916424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:14:39.6916853Z attn_outputs = self.attention( 2025-08-14T22:14:39.6917290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:14:39.6917736Z self_attention_outputs = self.self_attention( 2025-08-14T22:14:39.6918177Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1324, in forward 2025-08-14T22:14:39.6918742Z out_vectors = self._merge_hidden_size_dims(out_vectors, self.num_attention_heads, self.attention_head_size) 2025-08-14T22:14:39.6919363Z 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 2025-08-14T22:14:39.6919915Z return torch.reshape(x, (x.size()[0], -1, num_attn_heads * attn_head_size)) 2025-08-14T22:14:39.6920131Z 2025-08-14T22:14:39.6920225Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.6920441Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.6920661Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.6920881Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.6921090Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.6921307Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.6921524Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.6921732Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.6921981Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:39.6922517Z 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 2025-08-14T22:14:39.6923039Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:14:39.6923482Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:14:39.6923910Z layer_outputs = layer( 2025-08-14T22:14:39.6924333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:14:39.6924764Z attn_outputs = self.attention( 2025-08-14T22:14:39.6925175Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:14:39.6925627Z self_attention_outputs = self.self_attention( 2025-08-14T22:14:39.6926076Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward 2025-08-14T22:14:39.6926578Z buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask) 2025-08-14T22:14:39.6927100Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 749, in _hash_vectors 2025-08-14T22:14:39.6927726Z random_rotations = torch.randn(rotations_shape, device=vectors.device, dtype=vectors.dtype) 2025-08-14T22:14:39.6927990Z 2025-08-14T22:14:39.6928106Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:39.6928629Z 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 2025-08-14T22:14:39.6929149Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:14:39.6929590Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:14:39.6930265Z layer_outputs = layer( 2025-08-14T22:14:39.6930670Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:14:39.6931112Z attn_outputs = self.attention( 2025-08-14T22:14:39.6931651Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:14:39.6932119Z self_attention_outputs = self.self_attention( 2025-08-14T22:14:39.6932575Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward 2025-08-14T22:14:39.6933096Z buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask) 2025-08-14T22:14:39.6933635Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 751, in _hash_vectors 2025-08-14T22:14:39.6934215Z rotated_vectors = torch.einsum("bmtd,mdhr->bmhtr", vectors, random_rotations) 2025-08-14T22:14:39.6934458Z 2025-08-14T22:14:39.6934575Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:39.6935115Z 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 2025-08-14T22:14:39.6935676Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:14:39.6936116Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:14:39.6936548Z layer_outputs = layer( 2025-08-14T22:14:39.6936964Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:14:39.6937409Z attn_outputs = self.attention( 2025-08-14T22:14:39.6937828Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:14:39.6938281Z self_attention_outputs = self.self_attention( 2025-08-14T22:14:39.6938727Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward 2025-08-14T22:14:39.6939236Z buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask) 2025-08-14T22:14:39.6939755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 754, in _hash_vectors 2025-08-14T22:14:39.6940277Z rotated_vectors = torch.cat([rotated_vectors, -rotated_vectors], dim=-1) 2025-08-14T22:14:39.6940492Z 2025-08-14T22:14:39.6940610Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:39.6941146Z 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 2025-08-14T22:14:39.6941641Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:14:39.6942094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:14:39.6942523Z layer_outputs = layer( 2025-08-14T22:14:39.6942924Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:14:39.6943486Z attn_outputs = self.attention( 2025-08-14T22:14:39.6943913Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:14:39.6944362Z self_attention_outputs = self.self_attention( 2025-08-14T22:14:39.6944808Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward 2025-08-14T22:14:39.6945320Z buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask) 2025-08-14T22:14:39.6945833Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 755, in _hash_vectors 2025-08-14T22:14:39.6946295Z buckets = torch.argmax(rotated_vectors, dim=-1) 2025-08-14T22:14:39.6946455Z 2025-08-14T22:14:39.6946565Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:39.6947126Z 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 2025-08-14T22:14:39.6947645Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:14:39.6948082Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:14:39.6948505Z layer_outputs = layer( 2025-08-14T22:14:39.6948907Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:14:39.6949331Z attn_outputs = self.attention( 2025-08-14T22:14:39.6949742Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:14:39.6950189Z self_attention_outputs = self.self_attention( 2025-08-14T22:14:39.6950642Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 587, in forward 2025-08-14T22:14:39.6951217Z sorted_bucket_idx, undo_sorted_bucket_idx = self._get_sorted_bucket_idx_and_undo_sorted_bucket_idx( 2025-08-14T22:14:39.6951869Z 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 2025-08-14T22:14:39.6952443Z sorted_bucket_idx = _stable_argsort(buckets, dim=-1) 2025-08-14T22:14:39.6952946Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 182, in _stable_argsort 2025-08-14T22:14:39.6953479Z scaled_vector = vector.shape[dim] * vector + (scale_offset % vector.shape[dim]) 2025-08-14T22:14:39.6953697Z 2025-08-14T22:14:39.6953782Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.6954040Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:39.6954587Z 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 2025-08-14T22:14:39.6955132Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:14:39.6955587Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:14:39.6956027Z layer_outputs = layer( 2025-08-14T22:14:39.6956455Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:14:39.6956875Z attn_outputs = self.attention( 2025-08-14T22:14:39.6957298Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:14:39.6957744Z self_attention_outputs = self.self_attention( 2025-08-14T22:14:39.6958187Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 587, in forward 2025-08-14T22:14:39.6958780Z sorted_bucket_idx, undo_sorted_bucket_idx = self._get_sorted_bucket_idx_and_undo_sorted_bucket_idx( 2025-08-14T22:14:39.6959448Z 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 2025-08-14T22:14:39.6960004Z sorted_bucket_idx = _stable_argsort(buckets, dim=-1) 2025-08-14T22:14:39.6960485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 183, in _stable_argsort 2025-08-14T22:14:39.6960944Z return torch.argsort(scaled_vector, dim=dim) 2025-08-14T22:14:39.6961104Z 2025-08-14T22:14:39.6961187Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.6961417Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.6961666Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:39.6962209Z 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 2025-08-14T22:14:39.6962757Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:14:39.6963199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:14:39.6963617Z layer_outputs = layer( 2025-08-14T22:14:39.6964021Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:14:39.6964456Z attn_outputs = self.attention( 2025-08-14T22:14:39.6964874Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:14:39.6965311Z self_attention_outputs = self.self_attention( 2025-08-14T22:14:39.6965762Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward 2025-08-14T22:14:39.6966224Z out_vectors, logits, attention_probs = self._attend( 2025-08-14T22:14:39.6966678Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 859, in _attend 2025-08-14T22:14:39.6967247Z key_value_bucket_idx = self._look_adjacent(query_bucket_idx, self.num_chunks_before, self.num_chunks_after) 2025-08-14T22:14:39.6967826Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent 2025-08-14T22:14:39.6968351Z slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2)) 2025-08-14T22:14:39.6968568Z 2025-08-14T22:14:39.6968650Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.6968870Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.6969118Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:39.6969646Z 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 2025-08-14T22:14:39.6970167Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:14:39.6970620Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:14:39.6971098Z layer_outputs = layer( 2025-08-14T22:14:39.6971511Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:14:39.6971940Z attn_outputs = self.attention( 2025-08-14T22:14:39.6972380Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:14:39.6972835Z self_attention_outputs = self.self_attention( 2025-08-14T22:14:39.6973275Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward 2025-08-14T22:14:39.6973732Z out_vectors, logits, attention_probs = self._attend( 2025-08-14T22:14:39.6974356Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 859, in _attend 2025-08-14T22:14:39.6974953Z key_value_bucket_idx = self._look_adjacent(query_bucket_idx, self.num_chunks_before, self.num_chunks_after) 2025-08-14T22:14:39.6975565Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 400, in _look_adjacent 2025-08-14T22:14:39.6976011Z return torch.cat(slices, dim=3) 2025-08-14T22:14:39.6976142Z 2025-08-14T22:14:39.6976230Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.6976443Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.6976644Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.6976880Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:39.6977382Z 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 2025-08-14T22:14:39.6977895Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:14:39.6978323Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:14:39.6978721Z layer_outputs = layer( 2025-08-14T22:14:39.6979102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:14:39.6979495Z attn_outputs = self.attention( 2025-08-14T22:14:39.6979898Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:14:39.6980344Z self_attention_outputs = self.self_attention( 2025-08-14T22:14:39.6980774Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward 2025-08-14T22:14:39.6981227Z out_vectors, logits, attention_probs = self._attend( 2025-08-14T22:14:39.6981687Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 844, in _attend 2025-08-14T22:14:39.6982215Z key_vectors = self._look_adjacent(key_vectors, self.num_chunks_before, self.num_chunks_after) 2025-08-14T22:14:39.6982763Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent 2025-08-14T22:14:39.6983289Z slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2)) 2025-08-14T22:14:39.6983515Z 2025-08-14T22:14:39.6983598Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.6983848Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:39.6984371Z 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 2025-08-14T22:14:39.6984895Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:14:39.6985355Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:14:39.6985779Z layer_outputs = layer( 2025-08-14T22:14:39.6986180Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:14:39.6986606Z attn_outputs = self.attention( 2025-08-14T22:14:39.6987029Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:14:39.6987468Z self_attention_outputs = self.self_attention( 2025-08-14T22:14:39.6987910Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward 2025-08-14T22:14:39.6988359Z out_vectors, logits, attention_probs = self._attend( 2025-08-14T22:14:39.6988862Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 844, in _attend 2025-08-14T22:14:39.6989406Z key_vectors = self._look_adjacent(key_vectors, self.num_chunks_before, self.num_chunks_after) 2025-08-14T22:14:39.6989959Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 400, in _look_adjacent 2025-08-14T22:14:39.6990405Z return torch.cat(slices, dim=3) 2025-08-14T22:14:39.6990540Z 2025-08-14T22:14:39.6990655Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:39.6991172Z 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 2025-08-14T22:14:39.6991689Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:14:39.6992138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:14:39.6992584Z layer_outputs = layer( 2025-08-14T22:14:39.6992985Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:14:39.6993413Z attn_outputs = self.attention( 2025-08-14T22:14:39.6993837Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:14:39.6994274Z self_attention_outputs = self.self_attention( 2025-08-14T22:14:39.6994715Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 595, in forward 2025-08-14T22:14:39.6995278Z query_key_vectors = self._gather_by_expansion(query_key_vectors, sorted_bucket_idx_per_hash, num_hashes) 2025-08-14T22:14:39.6995880Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1099, in _gather_by_expansion 2025-08-14T22:14:39.6996367Z return torch.gather(vectors, 2, expanded_idxs) 2025-08-14T22:14:39.6996538Z 2025-08-14T22:14:39.6996648Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:39.6997173Z 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 2025-08-14T22:14:39.6997696Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:14:39.6998129Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:14:39.6998554Z layer_outputs = layer( 2025-08-14T22:14:39.6998954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:14:39.6999380Z attn_outputs = self.attention( 2025-08-14T22:14:39.6999794Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:14:39.7000244Z self_attention_outputs = self.self_attention( 2025-08-14T22:14:39.7000694Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward 2025-08-14T22:14:39.7001142Z out_vectors, logits, attention_probs = self._attend( 2025-08-14T22:14:39.7001611Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 849, in _attend 2025-08-14T22:14:39.7002133Z query_key_dots = torch.matmul(query_vectors, key_vectors.transpose(-1, -2)) 2025-08-14T22:14:39.7002352Z 2025-08-14T22:14:39.7002469Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:39.7002987Z 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 2025-08-14T22:14:39.7003508Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:14:39.7004015Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:14:39.7004457Z layer_outputs = layer( 2025-08-14T22:14:39.7004852Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:14:39.7005278Z attn_outputs = self.attention( 2025-08-14T22:14:39.7005702Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:14:39.7006144Z self_attention_outputs = self.self_attention( 2025-08-14T22:14:39.7006581Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward 2025-08-14T22:14:39.7007032Z out_vectors, logits, attention_probs = self._attend( 2025-08-14T22:14:39.7007485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 845, in _attend 2025-08-14T22:14:39.7008057Z value_vectors = self._look_adjacent(value_vectors, self.num_chunks_before, self.num_chunks_after) 2025-08-14T22:14:39.7008636Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent 2025-08-14T22:14:39.7009169Z slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2)) 2025-08-14T22:14:39.7009396Z 2025-08-14T22:14:39.7009494Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7009751Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:39.7010305Z 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 2025-08-14T22:14:39.7010840Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:14:39.7011305Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:14:39.7011726Z layer_outputs = layer( 2025-08-14T22:14:39.7012134Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:14:39.7012581Z attn_outputs = self.attention( 2025-08-14T22:14:39.7013025Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:14:39.7013495Z self_attention_outputs = self.self_attention( 2025-08-14T22:14:39.7013951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward 2025-08-14T22:14:39.7014504Z out_vectors, logits, attention_probs = self._attend( 2025-08-14T22:14:39.7014966Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 931, in _attend 2025-08-14T22:14:39.7015455Z out_vectors = torch.matmul(attention_probs, value_vectors) 2025-08-14T22:14:39.7015654Z 2025-08-14T22:14:39.7015767Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:39.7016313Z 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 2025-08-14T22:14:39.7016840Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:14:39.7017305Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:14:39.7017743Z layer_outputs = layer( 2025-08-14T22:14:39.7018166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:14:39.7018602Z attn_outputs = self.attention( 2025-08-14T22:14:39.7019040Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:14:39.7019575Z self_attention_outputs = self.self_attention( 2025-08-14T22:14:39.7020024Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward 2025-08-14T22:14:39.7020490Z out_vectors, logits, attention_probs = self._attend( 2025-08-14T22:14:39.7020916Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 931, in _attend 2025-08-14T22:14:39.7021356Z out_vectors = torch.matmul(attention_probs, value_vectors) 2025-08-14T22:14:39.7021523Z 2025-08-14T22:14:39.7021606Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7021845Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:39.7022338Z 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 2025-08-14T22:14:39.7022851Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:14:39.7023294Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:14:39.7023724Z layer_outputs = layer( 2025-08-14T22:14:39.7024132Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:14:39.7024558Z attn_outputs = self.attention( 2025-08-14T22:14:39.7024988Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:14:39.7025415Z self_attention_outputs = self.self_attention( 2025-08-14T22:14:39.7025828Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 692, in forward 2025-08-14T22:14:39.7026359Z out_vectors = self._merge_hidden_size_dims(out_vectors, self.num_attention_heads, self.attention_head_size) 2025-08-14T22:14:39.7026976Z 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 2025-08-14T22:14:39.7027522Z return torch.reshape(x, (x.size()[0], -1, num_attn_heads * attn_head_size)) 2025-08-14T22:14:39.7027734Z 2025-08-14T22:14:39.7027829Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7028053Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7028291Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7028506Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7028713Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7028927Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7029140Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7029347Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7029564Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7029879Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7030107Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7030323Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7030572Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:39.7031117Z 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 2025-08-14T22:14:39.7031635Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:14:39.7032083Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:14:39.7032507Z layer_outputs = layer( 2025-08-14T22:14:39.7032904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:14:39.7033316Z attn_outputs = self.attention( 2025-08-14T22:14:39.7033741Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:14:39.7034376Z self_attention_outputs = self.self_attention( 2025-08-14T22:14:39.7034803Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1265, in forward 2025-08-14T22:14:39.7035340Z key_vectors = self._look_adjacent(key_vectors, self.num_chunks_before, self.num_chunks_after) 2025-08-14T22:14:39.7035911Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent 2025-08-14T22:14:39.7036449Z slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2)) 2025-08-14T22:14:39.7036676Z 2025-08-14T22:14:39.7036771Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7037009Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7037267Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:39.7037823Z 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 2025-08-14T22:14:39.7038389Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:14:39.7038836Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:14:39.7039254Z layer_outputs = layer( 2025-08-14T22:14:39.7039653Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:14:39.7040435Z attn_outputs = self.attention( 2025-08-14T22:14:39.7040878Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:14:39.7041328Z self_attention_outputs = self.self_attention( 2025-08-14T22:14:39.7041770Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1265, in forward 2025-08-14T22:14:39.7042333Z key_vectors = self._look_adjacent(key_vectors, self.num_chunks_before, self.num_chunks_after) 2025-08-14T22:14:39.7042899Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 400, in _look_adjacent 2025-08-14T22:14:39.7043347Z return torch.cat(slices, dim=3) 2025-08-14T22:14:39.7043485Z 2025-08-14T22:14:39.7043598Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:39.7044132Z 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 2025-08-14T22:14:39.7044652Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:14:39.7045098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:14:39.7045514Z layer_outputs = layer( 2025-08-14T22:14:39.7045924Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:14:39.7046347Z attn_outputs = self.attention( 2025-08-14T22:14:39.7046768Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:14:39.7047205Z self_attention_outputs = self.self_attention( 2025-08-14T22:14:39.7047646Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1272, in forward 2025-08-14T22:14:39.7048157Z query_key_dots = torch.matmul(query_vectors, key_vectors.transpose(-1, -2)) 2025-08-14T22:14:39.7048376Z 2025-08-14T22:14:39.7048485Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:39.7049029Z 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 2025-08-14T22:14:39.7049578Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:14:39.7050123Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:14:39.7050552Z layer_outputs = layer( 2025-08-14T22:14:39.7050966Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:14:39.7051408Z attn_outputs = self.attention( 2025-08-14T22:14:39.7051831Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:14:39.7052286Z self_attention_outputs = self.self_attention( 2025-08-14T22:14:39.7052742Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1272, in forward 2025-08-14T22:14:39.7053261Z query_key_dots = torch.matmul(query_vectors, key_vectors.transpose(-1, -2)) 2025-08-14T22:14:39.7053528Z 2025-08-14T22:14:39.7053621Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7053855Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7054083Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7054458Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7054711Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:39.7055261Z 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 2025-08-14T22:14:39.7055813Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:14:39.7056271Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:14:39.7056705Z layer_outputs = layer( 2025-08-14T22:14:39.7057124Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:14:39.7057571Z attn_outputs = self.attention( 2025-08-14T22:14:39.7058010Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:14:39.7058478Z self_attention_outputs = self.self_attention( 2025-08-14T22:14:39.7058941Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1266, in forward 2025-08-14T22:14:39.7059515Z value_vectors = self._look_adjacent(value_vectors, self.num_chunks_before, self.num_chunks_after) 2025-08-14T22:14:39.7060093Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent 2025-08-14T22:14:39.7060635Z slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2)) 2025-08-14T22:14:39.7060858Z 2025-08-14T22:14:39.7060952Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7061182Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7061433Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:39.7061984Z 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 2025-08-14T22:14:39.7062523Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:14:39.7062975Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:14:39.7063414Z layer_outputs = layer( 2025-08-14T22:14:39.7063830Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:14:39.7064272Z attn_outputs = self.attention( 2025-08-14T22:14:39.7064703Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:14:39.7065173Z self_attention_outputs = self.self_attention( 2025-08-14T22:14:39.7065684Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1308, in forward 2025-08-14T22:14:39.7066197Z out_vectors = torch.matmul(attention_probs, value_vectors) 2025-08-14T22:14:39.7066389Z 2025-08-14T22:14:39.7066503Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:39.7067058Z 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 2025-08-14T22:14:39.7067612Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:14:39.7068053Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:14:39.7068479Z layer_outputs = layer( 2025-08-14T22:14:39.7068884Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:14:39.7069333Z attn_outputs = self.attention( 2025-08-14T22:14:39.7069752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:14:39.7070197Z self_attention_outputs = self.self_attention( 2025-08-14T22:14:39.7070638Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1308, in forward 2025-08-14T22:14:39.7071104Z out_vectors = torch.matmul(attention_probs, value_vectors) 2025-08-14T22:14:39.7071285Z 2025-08-14T22:14:39.7071395Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:39.7071933Z 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 2025-08-14T22:14:39.7072454Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:14:39.7072903Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:14:39.7073315Z layer_outputs = layer( 2025-08-14T22:14:39.7073718Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:14:39.7074144Z attn_outputs = self.attention( 2025-08-14T22:14:39.7074551Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:14:39.7074991Z self_attention_outputs = self.self_attention( 2025-08-14T22:14:39.7075429Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1324, in forward 2025-08-14T22:14:39.7076002Z out_vectors = self._merge_hidden_size_dims(out_vectors, self.num_attention_heads, self.attention_head_size) 2025-08-14T22:14:39.7076608Z 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 2025-08-14T22:14:39.7077166Z return torch.reshape(x, (x.size()[0], -1, num_attn_heads * attn_head_size)) 2025-08-14T22:14:39.7077382Z 2025-08-14T22:14:39.7077467Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7077690Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7077905Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7078125Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7078344Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7078551Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7078770Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7078985Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7079223Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:39.7079767Z 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 2025-08-14T22:14:39.7080287Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:14:39.7080828Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:14:39.7081247Z layer_outputs = layer( 2025-08-14T22:14:39.7081653Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:14:39.7082081Z attn_outputs = self.attention( 2025-08-14T22:14:39.7082506Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:14:39.7082947Z self_attention_outputs = self.self_attention( 2025-08-14T22:14:39.7083391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward 2025-08-14T22:14:39.7083906Z buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask) 2025-08-14T22:14:39.7084423Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 749, in _hash_vectors 2025-08-14T22:14:39.7084975Z random_rotations = torch.randn(rotations_shape, device=vectors.device, dtype=vectors.dtype) 2025-08-14T22:14:39.7085247Z 2025-08-14T22:14:39.7085361Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:39.7085894Z 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 2025-08-14T22:14:39.7086425Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:14:39.7086888Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:14:39.7087325Z layer_outputs = layer( 2025-08-14T22:14:39.7087740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:14:39.7088164Z attn_outputs = self.attention( 2025-08-14T22:14:39.7088584Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:14:39.7089032Z self_attention_outputs = self.self_attention( 2025-08-14T22:14:39.7089475Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward 2025-08-14T22:14:39.7089972Z buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask) 2025-08-14T22:14:39.7090490Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 751, in _hash_vectors 2025-08-14T22:14:39.7091013Z rotated_vectors = torch.einsum("bmtd,mdhr->bmhtr", vectors, random_rotations) 2025-08-14T22:14:39.7091235Z 2025-08-14T22:14:39.7091352Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:39.7091878Z 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 2025-08-14T22:14:39.7092400Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:14:39.7092850Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:14:39.7093265Z layer_outputs = layer( 2025-08-14T22:14:39.7093685Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:14:39.7094204Z attn_outputs = self.attention( 2025-08-14T22:14:39.7094706Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:14:39.7095174Z self_attention_outputs = self.self_attention( 2025-08-14T22:14:39.7095634Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward 2025-08-14T22:14:39.7096236Z buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask) 2025-08-14T22:14:39.7096775Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 754, in _hash_vectors 2025-08-14T22:14:39.7097287Z rotated_vectors = torch.cat([rotated_vectors, -rotated_vectors], dim=-1) 2025-08-14T22:14:39.7097504Z 2025-08-14T22:14:39.7097614Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:39.7098156Z 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 2025-08-14T22:14:39.7098707Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:14:39.7099159Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:14:39.7099624Z layer_outputs = layer( 2025-08-14T22:14:39.7100046Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:14:39.7100467Z attn_outputs = self.attention( 2025-08-14T22:14:39.7100903Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:14:39.7104391Z self_attention_outputs = self.self_attention( 2025-08-14T22:14:39.7104885Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward 2025-08-14T22:14:39.7105407Z buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask) 2025-08-14T22:14:39.7105951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 755, in _hash_vectors 2025-08-14T22:14:39.7106444Z buckets = torch.argmax(rotated_vectors, dim=-1) 2025-08-14T22:14:39.7106624Z 2025-08-14T22:14:39.7106747Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:39.7107305Z 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 2025-08-14T22:14:39.7107856Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:14:39.7108352Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:14:39.7108789Z layer_outputs = layer( 2025-08-14T22:14:39.7109218Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:14:39.7109663Z attn_outputs = self.attention( 2025-08-14T22:14:39.7110086Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:14:39.7110537Z self_attention_outputs = self.self_attention( 2025-08-14T22:14:39.7110987Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 587, in forward 2025-08-14T22:14:39.7111547Z sorted_bucket_idx, undo_sorted_bucket_idx = self._get_sorted_bucket_idx_and_undo_sorted_bucket_idx( 2025-08-14T22:14:39.7112198Z 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 2025-08-14T22:14:39.7112790Z sorted_bucket_idx = _stable_argsort(buckets, dim=-1) 2025-08-14T22:14:39.7113273Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 182, in _stable_argsort 2025-08-14T22:14:39.7113817Z scaled_vector = vector.shape[dim] * vector + (scale_offset % vector.shape[dim]) 2025-08-14T22:14:39.7114042Z 2025-08-14T22:14:39.7114128Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7114389Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:39.7115009Z 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 2025-08-14T22:14:39.7115544Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:14:39.7115980Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:14:39.7116404Z layer_outputs = layer( 2025-08-14T22:14:39.7116811Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:14:39.7117227Z attn_outputs = self.attention( 2025-08-14T22:14:39.7117650Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:14:39.7118094Z self_attention_outputs = self.self_attention( 2025-08-14T22:14:39.7118564Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 587, in forward 2025-08-14T22:14:39.7119106Z sorted_bucket_idx, undo_sorted_bucket_idx = self._get_sorted_bucket_idx_and_undo_sorted_bucket_idx( 2025-08-14T22:14:39.7119746Z 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 2025-08-14T22:14:39.7120379Z sorted_bucket_idx = _stable_argsort(buckets, dim=-1) 2025-08-14T22:14:39.7120865Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 183, in _stable_argsort 2025-08-14T22:14:39.7121351Z return torch.argsort(scaled_vector, dim=dim) 2025-08-14T22:14:39.7121517Z 2025-08-14T22:14:39.7121607Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7121843Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7122105Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:39.7122648Z 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 2025-08-14T22:14:39.7123188Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:14:39.7123662Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:14:39.7124108Z layer_outputs = layer( 2025-08-14T22:14:39.7124543Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:14:39.7124983Z attn_outputs = self.attention( 2025-08-14T22:14:39.7125414Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:14:39.7125864Z self_attention_outputs = self.self_attention( 2025-08-14T22:14:39.7126321Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward 2025-08-14T22:14:39.7126794Z out_vectors, logits, attention_probs = self._attend( 2025-08-14T22:14:39.7127260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 859, in _attend 2025-08-14T22:14:39.7127839Z key_value_bucket_idx = self._look_adjacent(query_bucket_idx, self.num_chunks_before, self.num_chunks_after) 2025-08-14T22:14:39.7128435Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent 2025-08-14T22:14:39.7128974Z slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2)) 2025-08-14T22:14:39.7129197Z 2025-08-14T22:14:39.7129289Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7129512Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7130038Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:39.7130686Z 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 2025-08-14T22:14:39.7131206Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:14:39.7131669Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:14:39.7132107Z layer_outputs = layer( 2025-08-14T22:14:39.7132529Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:14:39.7132967Z attn_outputs = self.attention( 2025-08-14T22:14:39.7133409Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:14:39.7133869Z self_attention_outputs = self.self_attention( 2025-08-14T22:14:39.7134512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward 2025-08-14T22:14:39.7135002Z out_vectors, logits, attention_probs = self._attend( 2025-08-14T22:14:39.7135489Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 859, in _attend 2025-08-14T22:14:39.7136156Z key_value_bucket_idx = self._look_adjacent(query_bucket_idx, self.num_chunks_before, self.num_chunks_after) 2025-08-14T22:14:39.7136752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 400, in _look_adjacent 2025-08-14T22:14:39.7137215Z return torch.cat(slices, dim=3) 2025-08-14T22:14:39.7137362Z 2025-08-14T22:14:39.7137445Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7137674Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7137892Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7138149Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:39.7138704Z 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 2025-08-14T22:14:39.7139233Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:14:39.7139690Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:14:39.7140137Z layer_outputs = layer( 2025-08-14T22:14:39.7140557Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:14:39.7141117Z attn_outputs = self.attention( 2025-08-14T22:14:39.7141683Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:14:39.7142165Z self_attention_outputs = self.self_attention( 2025-08-14T22:14:39.7142637Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward 2025-08-14T22:14:39.7143112Z out_vectors, logits, attention_probs = self._attend( 2025-08-14T22:14:39.7143588Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 844, in _attend 2025-08-14T22:14:39.7144155Z key_vectors = self._look_adjacent(key_vectors, self.num_chunks_before, self.num_chunks_after) 2025-08-14T22:14:39.7144742Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent 2025-08-14T22:14:39.7145289Z slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2)) 2025-08-14T22:14:39.7145526Z 2025-08-14T22:14:39.7145612Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7145871Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:39.7146455Z 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 2025-08-14T22:14:39.7147017Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:14:39.7147473Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:14:39.7147915Z layer_outputs = layer( 2025-08-14T22:14:39.7148310Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:14:39.7148745Z attn_outputs = self.attention( 2025-08-14T22:14:39.7149192Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:14:39.7149632Z self_attention_outputs = self.self_attention( 2025-08-14T22:14:39.7150063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward 2025-08-14T22:14:39.7150548Z out_vectors, logits, attention_probs = self._attend( 2025-08-14T22:14:39.7150998Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 844, in _attend 2025-08-14T22:14:39.7151529Z key_vectors = self._look_adjacent(key_vectors, self.num_chunks_before, self.num_chunks_after) 2025-08-14T22:14:39.7152116Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 400, in _look_adjacent 2025-08-14T22:14:39.7152562Z return torch.cat(slices, dim=3) 2025-08-14T22:14:39.7152694Z 2025-08-14T22:14:39.7152813Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:39.7153350Z 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 2025-08-14T22:14:39.7153878Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:14:39.7154326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:14:39.7154749Z layer_outputs = layer( 2025-08-14T22:14:39.7155146Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:14:39.7155572Z attn_outputs = self.attention( 2025-08-14T22:14:39.7156015Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:14:39.7156461Z self_attention_outputs = self.self_attention( 2025-08-14T22:14:39.7156897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 595, in forward 2025-08-14T22:14:39.7157460Z query_key_vectors = self._gather_by_expansion(query_key_vectors, sorted_bucket_idx_per_hash, num_hashes) 2025-08-14T22:14:39.7158072Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1099, in _gather_by_expansion 2025-08-14T22:14:39.7158560Z return torch.gather(vectors, 2, expanded_idxs) 2025-08-14T22:14:39.7158726Z 2025-08-14T22:14:39.7158833Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:39.7159362Z 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 2025-08-14T22:14:39.7159895Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:14:39.7160351Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:14:39.7160792Z layer_outputs = layer( 2025-08-14T22:14:39.7161216Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:14:39.7161665Z attn_outputs = self.attention( 2025-08-14T22:14:39.7162136Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:14:39.7162584Z self_attention_outputs = self.self_attention( 2025-08-14T22:14:39.7163024Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward 2025-08-14T22:14:39.7163477Z out_vectors, logits, attention_probs = self._attend( 2025-08-14T22:14:39.7163920Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 849, in _attend 2025-08-14T22:14:39.7164423Z query_key_dots = torch.matmul(query_vectors, key_vectors.transpose(-1, -2)) 2025-08-14T22:14:39.7164641Z 2025-08-14T22:14:39.7164755Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:39.7165278Z 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 2025-08-14T22:14:39.7165824Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:14:39.7166266Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:14:39.7166692Z layer_outputs = layer( 2025-08-14T22:14:39.7167115Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:14:39.7167543Z attn_outputs = self.attention( 2025-08-14T22:14:39.7167962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:14:39.7168400Z self_attention_outputs = self.self_attention( 2025-08-14T22:14:39.7168827Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward 2025-08-14T22:14:39.7169283Z out_vectors, logits, attention_probs = self._attend( 2025-08-14T22:14:39.7169736Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 845, in _attend 2025-08-14T22:14:39.7170303Z value_vectors = self._look_adjacent(value_vectors, self.num_chunks_before, self.num_chunks_after) 2025-08-14T22:14:39.7170874Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent 2025-08-14T22:14:39.7171414Z slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2)) 2025-08-14T22:14:39.7171639Z 2025-08-14T22:14:39.7171732Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7171983Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:39.7172527Z 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 2025-08-14T22:14:39.7173058Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:14:39.7173518Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:14:39.7173947Z layer_outputs = layer( 2025-08-14T22:14:39.7174491Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:14:39.7174954Z attn_outputs = self.attention( 2025-08-14T22:14:39.7175403Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:14:39.7175865Z self_attention_outputs = self.self_attention( 2025-08-14T22:14:39.7176321Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward 2025-08-14T22:14:39.7176785Z out_vectors, logits, attention_probs = self._attend( 2025-08-14T22:14:39.7177302Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 931, in _attend 2025-08-14T22:14:39.7177812Z out_vectors = torch.matmul(attention_probs, value_vectors) 2025-08-14T22:14:39.7178002Z 2025-08-14T22:14:39.7178116Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:39.7178658Z 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 2025-08-14T22:14:39.7179194Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:14:39.7179649Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:14:39.7180079Z layer_outputs = layer( 2025-08-14T22:14:39.7180496Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:14:39.7180950Z attn_outputs = self.attention( 2025-08-14T22:14:39.7181384Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:14:39.7181843Z self_attention_outputs = self.self_attention( 2025-08-14T22:14:39.7182295Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward 2025-08-14T22:14:39.7182764Z out_vectors, logits, attention_probs = self._attend( 2025-08-14T22:14:39.7183215Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 931, in _attend 2025-08-14T22:14:39.7183677Z out_vectors = torch.matmul(attention_probs, value_vectors) 2025-08-14T22:14:39.7183854Z 2025-08-14T22:14:39.7183936Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7184185Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:39.7184726Z 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 2025-08-14T22:14:39.7185249Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:14:39.7185687Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:14:39.7186107Z layer_outputs = layer( 2025-08-14T22:14:39.7186511Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:14:39.7186937Z attn_outputs = self.attention( 2025-08-14T22:14:39.7187346Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:14:39.7187790Z self_attention_outputs = self.self_attention( 2025-08-14T22:14:39.7188225Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 692, in forward 2025-08-14T22:14:39.7188791Z out_vectors = self._merge_hidden_size_dims(out_vectors, self.num_attention_heads, self.attention_head_size) 2025-08-14T22:14:39.7189412Z 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 2025-08-14T22:14:39.7189965Z return torch.reshape(x, (x.size()[0], -1, num_attn_heads * attn_head_size)) 2025-08-14T22:14:39.7190172Z 2025-08-14T22:14:39.7190267Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7190481Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7190731Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:39.7191256Z 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 2025-08-14T22:14:39.7191773Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:14:39.7192246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:14:39.7192696Z layer_outputs = layer( 2025-08-14T22:14:39.7193102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1601, in forward 2025-08-14T22:14:39.7193542Z attn_output = prev_attn_output + attn_output 2025-08-14T22:14:39.7193707Z 2025-08-14T22:14:39.7193790Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7194017Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7194238Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7194450Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7194705Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:39.7195260Z 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 2025-08-14T22:14:39.7195808Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:14:39.7196268Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:14:39.7196705Z layer_outputs = layer( 2025-08-14T22:14:39.7197106Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward 2025-08-14T22:14:39.7197581Z hidden_states = hidden_states + self.feed_forward(attn_output) 2025-08-14T22:14:39.7197801Z 2025-08-14T22:14:39.7197884Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7214674Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7215086Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7215326Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7215544Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7215769Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7216042Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:39.7216654Z 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 2025-08-14T22:14:39.7217190Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:14:39.7217656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:14:39.7218097Z layer_outputs = layer( 2025-08-14T22:14:39.7218510Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:14:39.7218952Z attn_outputs = self.attention( 2025-08-14T22:14:39.7219379Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:14:39.7219829Z self_attention_outputs = self.self_attention( 2025-08-14T22:14:39.7220274Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1265, in forward 2025-08-14T22:14:39.7220826Z key_vectors = self._look_adjacent(key_vectors, self.num_chunks_before, self.num_chunks_after) 2025-08-14T22:14:39.7221385Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent 2025-08-14T22:14:39.7221911Z slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2)) 2025-08-14T22:14:39.7222134Z 2025-08-14T22:14:39.7222221Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7222451Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7222706Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:39.7223293Z 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 2025-08-14T22:14:39.7224082Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:14:39.7224653Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:14:39.7225115Z layer_outputs = layer( 2025-08-14T22:14:39.7225512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:14:39.7225944Z attn_outputs = self.attention( 2025-08-14T22:14:39.7226376Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:14:39.7226836Z self_attention_outputs = self.self_attention( 2025-08-14T22:14:39.7227289Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1265, in forward 2025-08-14T22:14:39.7227847Z key_vectors = self._look_adjacent(key_vectors, self.num_chunks_before, self.num_chunks_after) 2025-08-14T22:14:39.7228502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 400, in _look_adjacent 2025-08-14T22:14:39.7228959Z return torch.cat(slices, dim=3) 2025-08-14T22:14:39.7229101Z 2025-08-14T22:14:39.7229218Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:39.7229949Z 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 2025-08-14T22:14:39.7230597Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:14:39.7231051Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:14:39.7231489Z layer_outputs = layer( 2025-08-14T22:14:39.7231908Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:14:39.7232353Z attn_outputs = self.attention( 2025-08-14T22:14:39.7232784Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:14:39.7233248Z self_attention_outputs = self.self_attention( 2025-08-14T22:14:39.7233705Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1272, in forward 2025-08-14T22:14:39.7234235Z query_key_dots = torch.matmul(query_vectors, key_vectors.transpose(-1, -2)) 2025-08-14T22:14:39.7234464Z 2025-08-14T22:14:39.7234577Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:39.7235125Z 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 2025-08-14T22:14:39.7235666Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:14:39.7236127Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:14:39.7236558Z layer_outputs = layer( 2025-08-14T22:14:39.7236975Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:14:39.7237416Z attn_outputs = self.attention( 2025-08-14T22:14:39.7237842Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:14:39.7238301Z self_attention_outputs = self.self_attention( 2025-08-14T22:14:39.7238754Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1272, in forward 2025-08-14T22:14:39.7239271Z query_key_dots = torch.matmul(query_vectors, key_vectors.transpose(-1, -2)) 2025-08-14T22:14:39.7239490Z 2025-08-14T22:14:39.7239578Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7239810Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7240039Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7240252Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7240594Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:39.7241139Z 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 2025-08-14T22:14:39.7241681Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:14:39.7242146Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:14:39.7242582Z layer_outputs = layer( 2025-08-14T22:14:39.7242998Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:14:39.7243433Z attn_outputs = self.attention( 2025-08-14T22:14:39.7243864Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:14:39.7244348Z self_attention_outputs = self.self_attention( 2025-08-14T22:14:39.7244797Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1266, in forward 2025-08-14T22:14:39.7245368Z value_vectors = self._look_adjacent(value_vectors, self.num_chunks_before, self.num_chunks_after) 2025-08-14T22:14:39.7245994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent 2025-08-14T22:14:39.7246527Z slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2)) 2025-08-14T22:14:39.7246749Z 2025-08-14T22:14:39.7246833Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7247057Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7247304Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:39.7247830Z 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 2025-08-14T22:14:39.7248356Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:14:39.7248798Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:14:39.7249230Z layer_outputs = layer( 2025-08-14T22:14:39.7249639Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:14:39.7250085Z attn_outputs = self.attention( 2025-08-14T22:14:39.7250520Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:14:39.7250970Z self_attention_outputs = self.self_attention( 2025-08-14T22:14:39.7251428Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1308, in forward 2025-08-14T22:14:39.7251918Z out_vectors = torch.matmul(attention_probs, value_vectors) 2025-08-14T22:14:39.7252109Z 2025-08-14T22:14:39.7252228Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:39.7252769Z 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 2025-08-14T22:14:39.7253308Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:14:39.7253768Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:14:39.7254333Z layer_outputs = layer( 2025-08-14T22:14:39.7254757Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:14:39.7255200Z attn_outputs = self.attention( 2025-08-14T22:14:39.7255638Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:14:39.7256138Z self_attention_outputs = self.self_attention( 2025-08-14T22:14:39.7256575Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1308, in forward 2025-08-14T22:14:39.7257054Z out_vectors = torch.matmul(attention_probs, value_vectors) 2025-08-14T22:14:39.7257219Z 2025-08-14T22:14:39.7257327Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:39.7257809Z 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 2025-08-14T22:14:39.7258299Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:14:39.7258720Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:14:39.7259120Z layer_outputs = layer( 2025-08-14T22:14:39.7259512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:14:39.7259913Z attn_outputs = self.attention( 2025-08-14T22:14:39.7260312Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:14:39.7260737Z self_attention_outputs = self.self_attention( 2025-08-14T22:14:39.7261180Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1324, in forward 2025-08-14T22:14:39.7261748Z out_vectors = self._merge_hidden_size_dims(out_vectors, self.num_attention_heads, self.attention_head_size) 2025-08-14T22:14:39.7262373Z 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 2025-08-14T22:14:39.7262949Z return torch.reshape(x, (x.size()[0], -1, num_attn_heads * attn_head_size)) 2025-08-14T22:14:39.7263166Z 2025-08-14T22:14:39.7263254Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7263487Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7263697Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7263897Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7264103Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7264304Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7264499Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7264710Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7264958Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:39.7265489Z 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 2025-08-14T22:14:39.7266015Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:14:39.7266463Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:14:39.7266893Z layer_outputs = layer( 2025-08-14T22:14:39.7267290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:14:39.7267701Z attn_outputs = self.attention( 2025-08-14T22:14:39.7268108Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:14:39.7268525Z self_attention_outputs = self.self_attention( 2025-08-14T22:14:39.7268938Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward 2025-08-14T22:14:39.7269431Z buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask) 2025-08-14T22:14:39.7269947Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 749, in _hash_vectors 2025-08-14T22:14:39.7270541Z random_rotations = torch.randn(rotations_shape, device=vectors.device, dtype=vectors.dtype) 2025-08-14T22:14:39.7270803Z 2025-08-14T22:14:39.7270905Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:39.7271405Z 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 2025-08-14T22:14:39.7271890Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:14:39.7272337Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:14:39.7272778Z layer_outputs = layer( 2025-08-14T22:14:39.7273203Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:14:39.7273646Z attn_outputs = self.attention( 2025-08-14T22:14:39.7274082Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:14:39.7274546Z self_attention_outputs = self.self_attention( 2025-08-14T22:14:39.7274953Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward 2025-08-14T22:14:39.7275454Z buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask) 2025-08-14T22:14:39.7275970Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 751, in _hash_vectors 2025-08-14T22:14:39.7276499Z rotated_vectors = torch.einsum("bmtd,mdhr->bmhtr", vectors, random_rotations) 2025-08-14T22:14:39.7276732Z 2025-08-14T22:14:39.7276843Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:39.7277389Z 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 2025-08-14T22:14:39.7277920Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:14:39.7278378Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:14:39.7278809Z layer_outputs = layer( 2025-08-14T22:14:39.7279222Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:14:39.7279659Z attn_outputs = self.attention( 2025-08-14T22:14:39.7280091Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:14:39.7280551Z self_attention_outputs = self.self_attention( 2025-08-14T22:14:39.7280996Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward 2025-08-14T22:14:39.7281505Z buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask) 2025-08-14T22:14:39.7282037Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 754, in _hash_vectors 2025-08-14T22:14:39.7282574Z rotated_vectors = torch.cat([rotated_vectors, -rotated_vectors], dim=-1) 2025-08-14T22:14:39.7282789Z 2025-08-14T22:14:39.7282901Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:39.7283446Z 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 2025-08-14T22:14:39.7283983Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:14:39.7284436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:14:39.7284865Z layer_outputs = layer( 2025-08-14T22:14:39.7285282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:14:39.7285724Z attn_outputs = self.attention( 2025-08-14T22:14:39.7286220Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:14:39.7286638Z self_attention_outputs = self.self_attention( 2025-08-14T22:14:39.7287056Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward 2025-08-14T22:14:39.7287529Z buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask) 2025-08-14T22:14:39.7288025Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 755, in _hash_vectors 2025-08-14T22:14:39.7288487Z buckets = torch.argmax(rotated_vectors, dim=-1) 2025-08-14T22:14:39.7288656Z 2025-08-14T22:14:39.7288766Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:39.7289299Z 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 2025-08-14T22:14:39.7289832Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:14:39.7290274Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:14:39.7290692Z layer_outputs = layer( 2025-08-14T22:14:39.7291112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:14:39.7291511Z attn_outputs = self.attention( 2025-08-14T22:14:39.7291905Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:14:39.7292338Z self_attention_outputs = self.self_attention( 2025-08-14T22:14:39.7292778Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 587, in forward 2025-08-14T22:14:39.7293324Z sorted_bucket_idx, undo_sorted_bucket_idx = self._get_sorted_bucket_idx_and_undo_sorted_bucket_idx( 2025-08-14T22:14:39.7293966Z 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 2025-08-14T22:14:39.7294620Z sorted_bucket_idx = _stable_argsort(buckets, dim=-1) 2025-08-14T22:14:39.7295131Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 182, in _stable_argsort 2025-08-14T22:14:39.7295685Z scaled_vector = vector.shape[dim] * vector + (scale_offset % vector.shape[dim]) 2025-08-14T22:14:39.7295916Z 2025-08-14T22:14:39.7296004Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7296263Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:39.7296793Z 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 2025-08-14T22:14:39.7297332Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:14:39.7297785Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:14:39.7298225Z layer_outputs = layer( 2025-08-14T22:14:39.7298640Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:14:39.7299089Z attn_outputs = self.attention( 2025-08-14T22:14:39.7299528Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:14:39.7299952Z self_attention_outputs = self.self_attention( 2025-08-14T22:14:39.7300364Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 587, in forward 2025-08-14T22:14:39.7300901Z sorted_bucket_idx, undo_sorted_bucket_idx = self._get_sorted_bucket_idx_and_undo_sorted_bucket_idx( 2025-08-14T22:14:39.7301519Z 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 2025-08-14T22:14:39.7302048Z sorted_bucket_idx = _stable_argsort(buckets, dim=-1) 2025-08-14T22:14:39.7302496Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 183, in _stable_argsort 2025-08-14T22:14:39.7302960Z return torch.argsort(scaled_vector, dim=dim) 2025-08-14T22:14:39.7303113Z 2025-08-14T22:14:39.7303207Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7303423Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7303673Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:39.7304038Z 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 2025-08-14T22:14:39.7304162Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:14:39.7304453Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:14:39.7304532Z layer_outputs = layer( 2025-08-14T22:14:39.7304852Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:14:39.7304933Z attn_outputs = self.attention( 2025-08-14T22:14:39.7305229Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:14:39.7305320Z self_attention_outputs = self.self_attention( 2025-08-14T22:14:39.7305594Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward 2025-08-14T22:14:39.7305700Z out_vectors, logits, attention_probs = self._attend( 2025-08-14T22:14:39.7305972Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 859, in _attend 2025-08-14T22:14:39.7306190Z key_value_bucket_idx = self._look_adjacent(query_bucket_idx, self.num_chunks_before, self.num_chunks_after) 2025-08-14T22:14:39.7306497Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent 2025-08-14T22:14:39.7306662Z slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2)) 2025-08-14T22:14:39.7306666Z 2025-08-14T22:14:39.7306748Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7306831Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7306950Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:39.7307319Z 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 2025-08-14T22:14:39.7307426Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:14:39.7307727Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:14:39.7307797Z layer_outputs = layer( 2025-08-14T22:14:39.7308102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:14:39.7308180Z attn_outputs = self.attention( 2025-08-14T22:14:39.7308462Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:14:39.7308560Z self_attention_outputs = self.self_attention( 2025-08-14T22:14:39.7308826Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward 2025-08-14T22:14:39.7308939Z out_vectors, logits, attention_probs = self._attend( 2025-08-14T22:14:39.7309240Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 859, in _attend 2025-08-14T22:14:39.7309448Z key_value_bucket_idx = self._look_adjacent(query_bucket_idx, self.num_chunks_before, self.num_chunks_after) 2025-08-14T22:14:39.7309743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 400, in _look_adjacent 2025-08-14T22:14:39.7309821Z return torch.cat(slices, dim=3) 2025-08-14T22:14:39.7309825Z 2025-08-14T22:14:39.7309901Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7309983Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7310065Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7310184Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:39.7310556Z 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 2025-08-14T22:14:39.7310697Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:14:39.7310998Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:14:39.7311072Z layer_outputs = layer( 2025-08-14T22:14:39.7311372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:14:39.7311472Z attn_outputs = self.attention( 2025-08-14T22:14:39.7311763Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:14:39.7311869Z self_attention_outputs = self.self_attention( 2025-08-14T22:14:39.7312166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward 2025-08-14T22:14:39.7312270Z out_vectors, logits, attention_probs = self._attend( 2025-08-14T22:14:39.7312549Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 844, in _attend 2025-08-14T22:14:39.7312733Z key_vectors = self._look_adjacent(key_vectors, self.num_chunks_before, self.num_chunks_after) 2025-08-14T22:14:39.7313029Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent 2025-08-14T22:14:39.7313177Z slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2)) 2025-08-14T22:14:39.7313181Z 2025-08-14T22:14:39.7313258Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7313369Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:39.7313709Z 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 2025-08-14T22:14:39.7313807Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:14:39.7314099Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:14:39.7314173Z layer_outputs = layer( 2025-08-14T22:14:39.7314475Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:14:39.7314553Z attn_outputs = self.attention( 2025-08-14T22:14:39.7314851Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:14:39.7314948Z self_attention_outputs = self.self_attention( 2025-08-14T22:14:39.7315239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward 2025-08-14T22:14:39.7315353Z out_vectors, logits, attention_probs = self._attend( 2025-08-14T22:14:39.7315673Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 844, in _attend 2025-08-14T22:14:39.7315891Z key_vectors = self._look_adjacent(key_vectors, self.num_chunks_before, self.num_chunks_after) 2025-08-14T22:14:39.7316217Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 400, in _look_adjacent 2025-08-14T22:14:39.7316299Z return torch.cat(slices, dim=3) 2025-08-14T22:14:39.7316304Z 2025-08-14T22:14:39.7316424Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:39.7316785Z 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 2025-08-14T22:14:39.7316885Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:14:39.7317183Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:14:39.7317275Z layer_outputs = layer( 2025-08-14T22:14:39.7317566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:14:39.7317642Z attn_outputs = self.attention( 2025-08-14T22:14:39.7317925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:14:39.7318028Z self_attention_outputs = self.self_attention( 2025-08-14T22:14:39.7318335Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 595, in forward 2025-08-14T22:14:39.7318572Z query_key_vectors = self._gather_by_expansion(query_key_vectors, sorted_bucket_idx_per_hash, num_hashes) 2025-08-14T22:14:39.7318883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1099, in _gather_by_expansion 2025-08-14T22:14:39.7318978Z return torch.gather(vectors, 2, expanded_idxs) 2025-08-14T22:14:39.7318983Z 2025-08-14T22:14:39.7319098Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:39.7319459Z 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 2025-08-14T22:14:39.7319564Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:14:39.7319850Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:14:39.7319924Z layer_outputs = layer( 2025-08-14T22:14:39.7320212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:14:39.7320290Z attn_outputs = self.attention( 2025-08-14T22:14:39.7320573Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:14:39.7320681Z self_attention_outputs = self.self_attention( 2025-08-14T22:14:39.7320964Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward 2025-08-14T22:14:39.7321077Z out_vectors, logits, attention_probs = self._attend( 2025-08-14T22:14:39.7321360Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 849, in _attend 2025-08-14T22:14:39.7321521Z query_key_dots = torch.matmul(query_vectors, key_vectors.transpose(-1, -2)) 2025-08-14T22:14:39.7321524Z 2025-08-14T22:14:39.7321639Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:39.7321995Z 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 2025-08-14T22:14:39.7322099Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:14:39.7322415Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:14:39.7322507Z layer_outputs = layer( 2025-08-14T22:14:39.7322802Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:14:39.7322880Z attn_outputs = self.attention( 2025-08-14T22:14:39.7323166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:14:39.7323269Z self_attention_outputs = self.self_attention( 2025-08-14T22:14:39.7323554Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward 2025-08-14T22:14:39.7323669Z out_vectors, logits, attention_probs = self._attend( 2025-08-14T22:14:39.7323951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 845, in _attend 2025-08-14T22:14:39.7324206Z value_vectors = self._look_adjacent(value_vectors, self.num_chunks_before, self.num_chunks_after) 2025-08-14T22:14:39.7324652Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent 2025-08-14T22:14:39.7324841Z slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2)) 2025-08-14T22:14:39.7324847Z 2025-08-14T22:14:39.7324968Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7325145Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:39.7325516Z 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 2025-08-14T22:14:39.7325615Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:14:39.7325910Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:14:39.7325996Z layer_outputs = layer( 2025-08-14T22:14:39.7326299Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:14:39.7326375Z attn_outputs = self.attention( 2025-08-14T22:14:39.7326662Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:14:39.7326756Z self_attention_outputs = self.self_attention( 2025-08-14T22:14:39.7327045Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward 2025-08-14T22:14:39.7327150Z out_vectors, logits, attention_probs = self._attend( 2025-08-14T22:14:39.7327434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 931, in _attend 2025-08-14T22:14:39.7327569Z out_vectors = torch.matmul(attention_probs, value_vectors) 2025-08-14T22:14:39.7327575Z 2025-08-14T22:14:39.7327686Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:39.7328051Z 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 2025-08-14T22:14:39.7328146Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:14:39.7328432Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:14:39.7328513Z layer_outputs = layer( 2025-08-14T22:14:39.7328800Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:14:39.7328888Z attn_outputs = self.attention( 2025-08-14T22:14:39.7329182Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:14:39.7329282Z self_attention_outputs = self.self_attention( 2025-08-14T22:14:39.7329627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward 2025-08-14T22:14:39.7329734Z out_vectors, logits, attention_probs = self._attend( 2025-08-14T22:14:39.7330208Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 931, in _attend 2025-08-14T22:14:39.7330348Z out_vectors = torch.matmul(attention_probs, value_vectors) 2025-08-14T22:14:39.7330353Z 2025-08-14T22:14:39.7330437Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7330552Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:39.7330916Z 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 2025-08-14T22:14:39.7331011Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:14:39.7331362Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:14:39.7331436Z layer_outputs = layer( 2025-08-14T22:14:39.7331727Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward 2025-08-14T22:14:39.7331803Z attn_outputs = self.attention( 2025-08-14T22:14:39.7332118Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward 2025-08-14T22:14:39.7332220Z self_attention_outputs = self.self_attention( 2025-08-14T22:14:39.7332504Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 692, in forward 2025-08-14T22:14:39.7332724Z out_vectors = self._merge_hidden_size_dims(out_vectors, self.num_attention_heads, self.attention_head_size) 2025-08-14T22:14:39.7333069Z 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 2025-08-14T22:14:39.7333225Z return torch.reshape(x, (x.size()[0], -1, num_attn_heads * attn_head_size)) 2025-08-14T22:14:39.7333229Z 2025-08-14T22:14:39.7333321Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7333404Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7333486Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7333576Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7333654Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7333741Z cudagraph partition due to non gpu ops 2025-08-14T22:14:39.7333852Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:39.7334269Z 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 2025-08-14T22:14:39.7334383Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:14:39.7334669Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward 2025-08-14T22:14:39.7334742Z layer_outputs = layer( 2025-08-14T22:14:39.7335031Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward 2025-08-14T22:14:39.7335163Z hidden_states = hidden_states + self.feed_forward(attn_output) 2025-08-14T22:14:39.7335169Z 2025-08-14T22:14:39.7335283Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:39.7335641Z 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 2025-08-14T22:14:39.7335735Z hidden_states = _ReversibleFunction.apply( 2025-08-14T22:14:39.7336026Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1753, in forward 2025-08-14T22:14:39.7336179Z return torch.cat([attn_output, hidden_states], dim=-1) 2025-08-14T22:14:39.7336210Z 2025-08-14T22:14:43.6232739Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:14:43.6233653Z 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 2025-08-14T22:14:43.6234427Z logits = self.lm_head(sequence_output) 2025-08-14T22:14:43.6235138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1886, in forward 2025-08-14T22:14:43.6235773Z return apply_chunking_to_forward(self.forward_chunk, self.chunk_size_lm_head, self.seq_len_dim, hidden_states) 2025-08-14T22:14:43.6236429Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward 2025-08-14T22:14:43.6236897Z return forward_fn(*input_tensors) 2025-08-14T22:14:43.6237734Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1889, in forward_chunk 2025-08-14T22:14:43.6238231Z hidden_states = self.decoder(hidden_states) 2025-08-14T22:14:43.6238389Z 2025-08-14T22:14:43.6238504Z cudagraph partition due to non gpu ops 2025-08-14T22:14:43.6238734Z cudagraph partition due to non gpu ops 2025-08-14T22:14:44.3051984Z Compilation time (from dynamo_timed): 21.240941544 2025-08-14T22:14:44.3052552Z pass 2025-08-14T22:14:44.3052873Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T22:14:44.3053759Z TIMING: _recursive_pre_grad_passes:0.04682 _recursive_joint_graph_passes:0.3753 inductor_compile:14.55448 backend_compile:18.5553 gc:0.01201 entire_frame_compile:21.24094 _recursive_post_grad_passes:0.08223 async_compile.wait:3.69964 code_gen:12.91982 total_wall_time:21.24094 2025-08-14T22:14:44.3054930Z STATS: call_* op count: 480 | FakeTensorMode.__torch_dispatch__:21161 | ProxyTorchDispatchMode.__torch_dispatch__:5340 | FakeTensor.__torch_dispatch__:3573 2025-08-14T22:14:44.3055525Z Dynamo produced 8 graphs covering 480 ops with 8 graph breaks (4 unique) 2025-08-14T22:14:48.8134583Z 2025-08-14T22:14:49.4795896Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:14:49.4796401Z 2025-08-14T22:14:49.4836593Z config.json: 0% 0.00/615 [00:00> $GITHUB_ENV 2025-08-14T22:19:57.9800818Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV 2025-08-14T22:19:57.9809927Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:19:57.9810199Z env: 2025-08-14T22:19:57.9810383Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:19:57.9810732Z DOCKER_CONTAINER_ID: 2dddb37ee66ffbfca4d5cb4a8ce2e72dfa4c597c4d5d00c8cf3abd796f0cf2c8 2025-08-14T22:19:57.9811100Z ##[endgroup] 2025-08-14T22:19:57.9848403Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-08-14T22:19:58.1777765Z Defaulting to user installation because normal site-packages is not writeable 2025-08-14T22:19:58.9934335Z Collecting boto3==1.35.33 2025-08-14T22:19:59.0101040Z Downloading boto3-1.35.33-py3-none-any.whl (139 kB) 2025-08-14T22:19:59.2520654Z Collecting psutil==7.0.0 2025-08-14T22:19:59.2561598Z 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) 2025-08-14T22:19:59.2852929Z Collecting pynvml==12.0.0 2025-08-14T22:19:59.2893250Z Downloading pynvml-12.0.0-py3-none-any.whl (26 kB) 2025-08-14T22:19:59.3288580Z Collecting s3transfer<0.11.0,>=0.10.0 2025-08-14T22:19:59.3331793Z Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB) 2025-08-14T22:20:00.1928642Z Collecting botocore<1.36.0,>=1.35.33 2025-08-14T22:20:00.2149354Z Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB) 2025-08-14T22:20:00.5855868Z 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) 2025-08-14T22:20:00.6204892Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0 2025-08-14T22:20:00.6247170Z Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB) 2025-08-14T22:20:00.6332837Z 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) 2025-08-14T22:20:00.6338957Z 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) 2025-08-14T22:20:00.7451449Z 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) 2025-08-14T22:20:00.8603066Z Installing collected packages: botocore, s3transfer, nvidia-ml-py, pynvml, psutil, boto3 2025-08-14T22:20:01.2330662Z Attempting uninstall: nvidia-ml-py 2025-08-14T22:20:01.2331635Z Found existing installation: nvidia-ml-py 11.525.84 2025-08-14T22:20:01.2344822Z Uninstalling nvidia-ml-py-11.525.84: 2025-08-14T22:20:01.2477777Z Successfully uninstalled nvidia-ml-py-11.525.84 2025-08-14T22:20:01.3055054Z Attempting uninstall: psutil 2025-08-14T22:20:01.3055454Z Found existing installation: psutil 5.9.8 2025-08-14T22:20:01.3104413Z Uninstalling psutil-5.9.8: 2025-08-14T22:20:01.3112529Z Successfully uninstalled psutil-5.9.8 2025-08-14T22:20:01.4573310Z 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 2025-08-14T22:20:01.5744235Z + DEVICE_NAME= 2025-08-14T22:20:01.5749114Z + DEVICE_TYPE= 2025-08-14T22:20:01.5752548Z + command -v nvidia-smi 2025-08-14T22:20:01.5752787Z + command -v rocminfo 2025-08-14T22:20:01.5753046Z + echo DEVICE_NAME= 2025-08-14T22:20:01.5753274Z + echo DEVICE_TYPE= 2025-08-14T22:20:01.5768600Z ##[group]Run set -eux 2025-08-14T22:20:01.5768810Z set -eux 2025-08-14T22:20:01.5768973Z  2025-08-14T22:20:01.5769145Z if [[ -z "${GITHUB_TOKEN}" ]]; then 2025-08-14T22:20:01.5769392Z  echo "Missing github-token input" 2025-08-14T22:20:01.5769606Z  exit 1 2025-08-14T22:20:01.5769775Z fi 2025-08-14T22:20:01.5776757Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:20:01.5777030Z env: 2025-08-14T22:20:01.5777196Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:20:01.5777534Z DOCKER_CONTAINER_ID: 2dddb37ee66ffbfca4d5cb4a8ce2e72dfa4c597c4d5d00c8cf3abd796f0cf2c8 2025-08-14T22:20:01.5777888Z DEVICE_NAME: 2025-08-14T22:20:01.5778139Z DEVICE_TYPE: 2025-08-14T22:20:01.5778544Z GITHUB_TOKEN: *** 2025-08-14T22:20:01.5778721Z ##[endgroup] 2025-08-14T22:20:01.5805104Z + [[ -z *** ]] 2025-08-14T22:20:01.5836166Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main 2025-08-14T22:20:01.5836499Z with: 2025-08-14T22:20:01.5836820Z github-token: *** 2025-08-14T22:20:01.5837014Z env: 2025-08-14T22:20:01.5837203Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:20:01.5837586Z DOCKER_CONTAINER_ID: 2dddb37ee66ffbfca4d5cb4a8ce2e72dfa4c597c4d5d00c8cf3abd796f0cf2c8 2025-08-14T22:20:01.5837976Z DEVICE_NAME: 2025-08-14T22:20:01.5838169Z DEVICE_TYPE: 2025-08-14T22:20:01.5838372Z ##[endgroup] 2025-08-14T22:20:01.5849747Z ##[group]Run set -eux 2025-08-14T22:20:01.5849981Z set -eux 2025-08-14T22:20:01.5850196Z  2025-08-14T22:20:01.5850572Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-08-14T22:20:01.5856296Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:20:01.5856626Z env: 2025-08-14T22:20:01.5856825Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:20:01.5857225Z DOCKER_CONTAINER_ID: 2dddb37ee66ffbfca4d5cb4a8ce2e72dfa4c597c4d5d00c8cf3abd796f0cf2c8 2025-08-14T22:20:01.5857642Z DEVICE_NAME: 2025-08-14T22:20:01.5857843Z DEVICE_TYPE: 2025-08-14T22:20:01.5858201Z GITHUB_TOKEN: *** 2025-08-14T22:20:01.5858408Z ##[endgroup] 2025-08-14T22:20:01.5881991Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 16976338999 i-0cfe2f44e87f9c4d7 2025-08-14T22:20:03.1959893Z setting job-id=48128261043 2025-08-14T22:20:03.1960498Z setting job-name=linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_amp_freezing_torchbench, 1, 2, linux.8xlarge.amx) 2025-08-14T22:20:03.2061051Z ##[group]Run set -eux 2025-08-14T22:20:03.2061251Z set -eux 2025-08-14T22:20:03.2061414Z  2025-08-14T22:20:03.2061675Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \ 2025-08-14T22:20:03.2062012Z  --schema-version "${SCHEMA_VERSION}" \ 2025-08-14T22:20:03.2062241Z  --repo "${REPO}" \ 2025-08-14T22:20:03.2062439Z  --head-branch "${HEAD_BRANCH}" \ 2025-08-14T22:20:03.2062658Z  --head-sha "${HEAD_SHA}" \ 2025-08-14T22:20:03.2062879Z  --workflow-id "${WORKFLOW_RUN_ID}" \ 2025-08-14T22:20:03.2063101Z  --run-attempt "${RUN_ATTEMPT}" \ 2025-08-14T22:20:03.2063323Z  --job-id "${JOB_ID}" \ 2025-08-14T22:20:03.2063518Z  --job-name "${JOB_NAME}" 2025-08-14T22:20:03.2068542Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:20:03.2068784Z env: 2025-08-14T22:20:03.2068940Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:20:03.2069248Z DOCKER_CONTAINER_ID: 2dddb37ee66ffbfca4d5cb4a8ce2e72dfa4c597c4d5d00c8cf3abd796f0cf2c8 2025-08-14T22:20:03.2069571Z DEVICE_NAME: 2025-08-14T22:20:03.2069724Z DEVICE_TYPE: 2025-08-14T22:20:03.2069884Z SCHEMA_VERSION: v3 2025-08-14T22:20:03.2070052Z REPO: pytorch/pytorch 2025-08-14T22:20:03.2070234Z HEAD_BRANCH: refs/heads/main 2025-08-14T22:20:03.2070455Z HEAD_SHA: 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T22:20:03.2070683Z WORKFLOW_RUN_ID: 16976338999 2025-08-14T22:20:03.2070871Z RUN_ATTEMPT: 1 2025-08-14T22:20:03.2071037Z JOB_ID: 48128261043 2025-08-14T22:20:03.2071409Z JOB_NAME: linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_amp_freezing_torchbench, 1, 2, linux.8xlarge.amx) 2025-08-14T22:20:03.2071807Z ##[endgroup] 2025-08-14T22:20:03.2099288Z + 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 16976338999 --run-attempt 1 --job-id 48128261043 --job-name 'linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_amp_freezing_torchbench, 1, 2, linux.8xlarge.amx)' 2025-08-14T22:20:03.2383194Z ##[group]Run set -eux 2025-08-14T22:20:03.2383408Z set -eux 2025-08-14T22:20:03.2383579Z  2025-08-14T22:20:03.2383851Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py" 2025-08-14T22:20:03.2389017Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:20:03.2389270Z env: 2025-08-14T22:20:03.2389435Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:20:03.2389755Z DOCKER_CONTAINER_ID: 2dddb37ee66ffbfca4d5cb4a8ce2e72dfa4c597c4d5d00c8cf3abd796f0cf2c8 2025-08-14T22:20:03.2390121Z DEVICE_NAME: 2025-08-14T22:20:03.2390285Z DEVICE_TYPE: 2025-08-14T22:20:03.2390437Z ##[endgroup] 2025-08-14T22:20:03.2412021Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py 2025-08-14T22:20:03.2762933Z INFO:root:Fail to import torch to get the device name 2025-08-14T22:20:03.2859068Z ##[group]Run set -eux 2025-08-14T22:20:03.2859279Z set -eux 2025-08-14T22:20:03.2859444Z  2025-08-14T22:20:03.2859623Z # TODO (huydhn): Implement this part 2025-08-14T22:20:03.2859893Z echo "dependencies={}" >> "${GITHUB_OUTPUT}" 2025-08-14T22:20:03.2865031Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:20:03.2865287Z env: 2025-08-14T22:20:03.2865454Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:20:03.2865790Z DOCKER_CONTAINER_ID: 2dddb37ee66ffbfca4d5cb4a8ce2e72dfa4c597c4d5d00c8cf3abd796f0cf2c8 2025-08-14T22:20:03.2866282Z DEVICE_NAME: 2025-08-14T22:20:03.2866443Z DEVICE_TYPE: 2025-08-14T22:20:03.2866610Z ##[endgroup] 2025-08-14T22:20:03.2890026Z + echo 'dependencies={}' 2025-08-14T22:20:03.2905905Z ##[group]Run set -eux 2025-08-14T22:20:03.2906124Z set -eux 2025-08-14T22:20:03.2906303Z  2025-08-14T22:20:03.2906497Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then 2025-08-14T22:20:03.2906807Z  echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping" 2025-08-14T22:20:03.2907117Z  # We don't want the job to fail if the directory doesn't exist 2025-08-14T22:20:03.2907358Z  exit 0 2025-08-14T22:20:03.2907510Z fi 2025-08-14T22:20:03.2907656Z  2025-08-14T22:20:03.2907834Z if [[ "${DRY_RUN}" == "true" ]]; then 2025-08-14T22:20:03.2908169Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-08-14T22:20:03.2908546Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-08-14T22:20:03.2908852Z  --metadata "${BENCHMARK_METADATA}" \ 2025-08-14T22:20:03.2909301Z  --runners "${RUNNER_INFO}" \ 2025-08-14T22:20:03.2909549Z  --dependencies "${DEPENDENCIES}" \ 2025-08-14T22:20:03.2909769Z  --dry-run 2025-08-14T22:20:03.2909954Z else 2025-08-14T22:20:03.2910214Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-08-14T22:20:03.2910546Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-08-14T22:20:03.2910816Z  --metadata "${BENCHMARK_METADATA}" \ 2025-08-14T22:20:03.2911042Z  --runners "${RUNNER_INFO}" \ 2025-08-14T22:20:03.2911266Z  --dependencies "${DEPENDENCIES}" 2025-08-14T22:20:03.2911463Z fi 2025-08-14T22:20:03.2915440Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:20:03.2915705Z env: 2025-08-14T22:20:03.2915859Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:20:03.2916184Z DOCKER_CONTAINER_ID: 2dddb37ee66ffbfca4d5cb4a8ce2e72dfa4c597c4d5d00c8cf3abd796f0cf2c8 2025-08-14T22:20:03.2916504Z DEVICE_NAME: 2025-08-14T22:20:03.2916653Z DEVICE_TYPE: 2025-08-14T22:20:03.2916829Z BENCHMARK_RESULTS_DIR: test/test-reports 2025-08-14T22:20:03.2917038Z DRY_RUN: false 2025-08-14T22:20:03.2917923Z BENCHMARK_METADATA: {"timestamp": 1755210003, "schema_version": "v3", "name": "linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_amp_freezing_torchbench, 1, 2, linux.8xlarge.amx)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "1fc683cf17c8c673044538d10266c00f92987be2", "workflow_id": 16976338999, "run_attempt": 1, "job_id": 48128261043} 2025-08-14T22:20:03.2919114Z RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 32, "avail_mem_in_gb": 123, "extra_info": {"hostname": "ip-10-0-3-245.ec2.internal"}, "name": "", "type": ""}] 2025-08-14T22:20:03.2919479Z DEPENDENCIES: {} 2025-08-14T22:20:03.2919646Z ##[endgroup] 2025-08-14T22:20:03.2942040Z + [[ ! -d test/test-reports ]] 2025-08-14T22:20:03.2942762Z + [[ false == \t\r\u\e ]] 2025-08-14T22:20:03.2944616Z + 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": 1755210003, "schema_version": "v3", "name": "linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_amp_freezing_torchbench, 1, 2, linux.8xlarge.amx)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "1fc683cf17c8c673044538d10266c00f92987be2", "workflow_id": 16976338999, "run_attempt": 1, "job_id": 48128261043}' --runners '[{"cpu_info": "x86_64", "cpu_count": 32, "avail_mem_in_gb": 123, "extra_info": {"hostname": "ip-10-0-3-245.ec2.internal"}, "name": "", "type": ""}]' --dependencies '{}' 2025-08-14T22:20:03.4159087Z INFO:root:Upload test/test-reports/inference_torchbench.json to s3://ossci-benchmarks/v3/pytorch/pytorch/16976338999/48128261043/inference_torchbench.json 2025-08-14T22:20:03.4437666Z INFO:botocore.credentials:Found credentials from IAM Role: gh-ci-github-action-runners-runner-role 2025-08-14T22:20:03.6574873Z ##[group]Run cat test/**/*_toprint.log || true 2025-08-14T22:20:03.6575198Z cat test/**/*_toprint.log || true 2025-08-14T22:20:03.6579999Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:20:03.6580278Z env: 2025-08-14T22:20:03.6580450Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:20:03.6580776Z DOCKER_CONTAINER_ID: 2dddb37ee66ffbfca4d5cb4a8ce2e72dfa4c597c4d5d00c8cf3abd796f0cf2c8 2025-08-14T22:20:03.6581126Z DEVICE_NAME: 2025-08-14T22:20:03.6581293Z DEVICE_TYPE: 2025-08-14T22:20:03.6581452Z ##[endgroup] 2025-08-14T22:20:03.6660368Z cat: 'test/**/*_toprint.log': No such file or directory 2025-08-14T22:20:03.6680640Z ##[group]Run kill "$MONITOR_SCRIPT_PID" 2025-08-14T22:20:03.6680916Z kill "$MONITOR_SCRIPT_PID" 2025-08-14T22:20:03.6685874Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:20:03.6686144Z env: 2025-08-14T22:20:03.6686313Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:20:03.6686637Z DOCKER_CONTAINER_ID: 2dddb37ee66ffbfca4d5cb4a8ce2e72dfa4c597c4d5d00c8cf3abd796f0cf2c8 2025-08-14T22:20:03.6686981Z DEVICE_NAME: 2025-08-14T22:20:03.6687167Z DEVICE_TYPE: 2025-08-14T22:20:03.6687346Z MONITOR_SCRIPT_PID: 47861 2025-08-14T22:20:03.6687547Z ##[endgroup] 2025-08-14T22:20:03.6791665Z Prepare all required actions 2025-08-14T22:20:03.6792065Z Getting action download info 2025-08-14T22:20:03.8720892Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-08-14T22:20:04.0990022Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02) 2025-08-14T22:20:04.5623762Z ##[group]Run ./.github/actions/upload-test-artifacts 2025-08-14T22:20:04.5624054Z with: 2025-08-14T22:20:04.5624399Z file-suffix: test-cpu_inductor_amp_freezing_torchbench-1-2-linux.8xlarge.amx_48128261043 2025-08-14T22:20:04.5624809Z s3-bucket: gha-artifacts 2025-08-14T22:20:04.5625016Z env: 2025-08-14T22:20:04.5625183Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:20:04.5625526Z DOCKER_CONTAINER_ID: 2dddb37ee66ffbfca4d5cb4a8ce2e72dfa4c597c4d5d00c8cf3abd796f0cf2c8 2025-08-14T22:20:04.5625888Z DEVICE_NAME: 2025-08-14T22:20:04.5626061Z DEVICE_TYPE: 2025-08-14T22:20:04.5626297Z ##[endgroup] 2025-08-14T22:20:04.5642897Z ##[group]Run # Remove any previous test jsons if they exist 2025-08-14T22:20:04.5643237Z # Remove any previous test jsons if they exist 2025-08-14T22:20:04.5643496Z rm -f test-jsons-*.zip 2025-08-14T22:20:04.5643804Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json' 2025-08-14T22:20:04.5648805Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:20:04.5649048Z env: 2025-08-14T22:20:04.5649214Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:20:04.5649546Z DOCKER_CONTAINER_ID: 2dddb37ee66ffbfca4d5cb4a8ce2e72dfa4c597c4d5d00c8cf3abd796f0cf2c8 2025-08-14T22:20:04.5649877Z DEVICE_NAME: 2025-08-14T22:20:04.5650041Z DEVICE_TYPE: 2025-08-14T22:20:04.5650349Z FILE_SUFFIX: test-cpu_inductor_amp_freezing_torchbench-1-2-linux.8xlarge.amx_48128261043 2025-08-14T22:20:04.5650731Z ##[endgroup] 2025-08-14T22:20:04.5836368Z adding: test/test-reports/inference_torchbench.json (deflated 99%) 2025-08-14T22:20:04.5883747Z ##[group]Run # Remove any previous test reports if they exist 2025-08-14T22:20:04.5884098Z # Remove any previous test reports if they exist 2025-08-14T22:20:04.5884371Z rm -f test-reports-*.zip 2025-08-14T22:20:04.5884702Z zip -r "test-reports-${FILE_SUFFIX}.zip" test/test-reports -i '*.xml' -i '*.csv' 2025-08-14T22:20:04.5889603Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:20:04.5889871Z env: 2025-08-14T22:20:04.5890043Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:20:04.5890384Z DOCKER_CONTAINER_ID: 2dddb37ee66ffbfca4d5cb4a8ce2e72dfa4c597c4d5d00c8cf3abd796f0cf2c8 2025-08-14T22:20:04.5890735Z DEVICE_NAME: 2025-08-14T22:20:04.5890905Z DEVICE_TYPE: 2025-08-14T22:20:04.5891198Z FILE_SUFFIX: test-cpu_inductor_amp_freezing_torchbench-1-2-linux.8xlarge.amx_48128261043 2025-08-14T22:20:04.5891525Z ##[endgroup] 2025-08-14T22:20:04.5937215Z adding: test/test-reports/inference_torchbench.csv (deflated 60%) 2025-08-14T22:20:04.5941306Z adding: test/test-reports/inference_torchbench_graph_breaks.csv (deflated 94%) 2025-08-14T22:20:04.5942886Z adding: test/test-reports/inference_torchbench_graph_break_deduped.csv (deflated 80%) 2025-08-14T22:20:04.5962287Z ##[group]Run # Remove any previous usage logs if they exist 2025-08-14T22:20:04.5962614Z # Remove any previous usage logs if they exist 2025-08-14T22:20:04.5962869Z rm -f logs-*.zip 2025-08-14T22:20:04.5963108Z zip "logs-${FILE_SUFFIX}.zip" 'usage_log.txt' || true 2025-08-14T22:20:04.5963463Z zip -r "logs-${FILE_SUFFIX}.zip" test/test-reports -i '*.log' || true 2025-08-14T22:20:04.5967923Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:20:04.5968244Z env: 2025-08-14T22:20:04.5968409Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:20:04.5968740Z DOCKER_CONTAINER_ID: 2dddb37ee66ffbfca4d5cb4a8ce2e72dfa4c597c4d5d00c8cf3abd796f0cf2c8 2025-08-14T22:20:04.5969102Z DEVICE_NAME: 2025-08-14T22:20:04.5969262Z DEVICE_TYPE: 2025-08-14T22:20:04.5970920Z FILE_SUFFIX: test-cpu_inductor_amp_freezing_torchbench-1-2-linux.8xlarge.amx_48128261043 2025-08-14T22:20:04.5971272Z ##[endgroup] 2025-08-14T22:20:04.6080312Z adding: usage_log.txt (deflated 97%) 2025-08-14T22:20:04.6090643Z 2025-08-14T22:20:04.6091337Z zip error: Nothing to do! (logs-test-cpu_inductor_amp_freezing_torchbench-1-2-linux.8xlarge.amx_48128261043.zip) 2025-08-14T22:20:04.6108464Z ##[group]Run # Remove any previous debugging artifacts if they exist 2025-08-14T22:20:04.6108827Z # Remove any previous debugging artifacts if they exist 2025-08-14T22:20:04.6109104Z rm -f debug-*.zip 2025-08-14T22:20:04.6109305Z if [ -d 'test/debug' ]; then 2025-08-14T22:20:04.6109561Z  zip -r "debug-${FILE_SUFFIX}.zip" test/debug 2025-08-14T22:20:04.6109796Z fi 2025-08-14T22:20:04.6114057Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:20:04.6114333Z env: 2025-08-14T22:20:04.6114500Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:20:04.6114912Z DOCKER_CONTAINER_ID: 2dddb37ee66ffbfca4d5cb4a8ce2e72dfa4c597c4d5d00c8cf3abd796f0cf2c8 2025-08-14T22:20:04.6115257Z DEVICE_NAME: 2025-08-14T22:20:04.6115423Z DEVICE_TYPE: 2025-08-14T22:20:04.6115717Z FILE_SUFFIX: test-cpu_inductor_amp_freezing_torchbench-1-2-linux.8xlarge.amx_48128261043 2025-08-14T22:20:04.6116036Z ##[endgroup] 2025-08-14T22:20:04.6184134Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-08-14T22:20:04.6184364Z with: 2025-08-14T22:20:04.6184536Z s3-bucket: gha-artifacts 2025-08-14T22:20:04.6184770Z s3-prefix: pytorch/pytorch/16976338999/1/artifact 2025-08-14T22:20:04.6185004Z retention-days: 14 2025-08-14T22:20:04.6185189Z if-no-files-found: warn 2025-08-14T22:20:04.6185384Z path: test-jsons-*.zip 2025-08-14T22:20:04.6185556Z name: artifact 2025-08-14T22:20:04.6185720Z region: us-east-1 2025-08-14T22:20:04.6185884Z env: 2025-08-14T22:20:04.6186101Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:20:04.6186435Z DOCKER_CONTAINER_ID: 2dddb37ee66ffbfca4d5cb4a8ce2e72dfa4c597c4d5d00c8cf3abd796f0cf2c8 2025-08-14T22:20:04.6186763Z DEVICE_NAME: 2025-08-14T22:20:04.6186920Z DEVICE_TYPE: 2025-08-14T22:20:04.6187065Z ##[endgroup] 2025-08-14T22:20:04.9211498Z NOTE: s3-prefix specified, ignoring name parameter 2025-08-14T22:20:04.9211993Z With the provided path, there will be 1 file uploaded 2025-08-14T22:20:04.9212926Z Uploading to s3 prefix: pytorch/pytorch/16976338999/1/artifact 2025-08-14T22:20:04.9242189Z Starting upload of test-jsons-test-cpu_inductor_amp_freezing_torchbench-1-2-linux.8xlarge.amx_48128261043.zip 2025-08-14T22:20:05.0252939Z Finished upload of test-jsons-test-cpu_inductor_amp_freezing_torchbench-1-2-linux.8xlarge.amx_48128261043.zip 2025-08-14T22:20:05.0417688Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-08-14T22:20:05.0417941Z with: 2025-08-14T22:20:05.0418122Z s3-bucket: gha-artifacts 2025-08-14T22:20:05.0418362Z s3-prefix: pytorch/pytorch/16976338999/1/artifact 2025-08-14T22:20:05.0418618Z retention-days: 14 2025-08-14T22:20:05.0418830Z if-no-files-found: error 2025-08-14T22:20:05.0419037Z path: test-reports-*.zip 2025-08-14T22:20:05.0419222Z name: artifact 2025-08-14T22:20:05.0419399Z region: us-east-1 2025-08-14T22:20:05.0419571Z env: 2025-08-14T22:20:05.0419728Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:20:05.0420068Z DOCKER_CONTAINER_ID: 2dddb37ee66ffbfca4d5cb4a8ce2e72dfa4c597c4d5d00c8cf3abd796f0cf2c8 2025-08-14T22:20:05.0420421Z DEVICE_NAME: 2025-08-14T22:20:05.0420595Z DEVICE_TYPE: 2025-08-14T22:20:05.0420758Z ##[endgroup] 2025-08-14T22:20:05.3094800Z NOTE: s3-prefix specified, ignoring name parameter 2025-08-14T22:20:05.3095164Z With the provided path, there will be 1 file uploaded 2025-08-14T22:20:05.3095538Z Uploading to s3 prefix: pytorch/pytorch/16976338999/1/artifact 2025-08-14T22:20:05.3129737Z Starting upload of test-reports-test-cpu_inductor_amp_freezing_torchbench-1-2-linux.8xlarge.amx_48128261043.zip 2025-08-14T22:20:05.4257371Z Finished upload of test-reports-test-cpu_inductor_amp_freezing_torchbench-1-2-linux.8xlarge.amx_48128261043.zip 2025-08-14T22:20:05.4414696Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-08-14T22:20:05.4414952Z with: 2025-08-14T22:20:05.4415134Z s3-bucket: gha-artifacts 2025-08-14T22:20:05.4415381Z s3-prefix: pytorch/pytorch/16976338999/1/artifact 2025-08-14T22:20:05.4415634Z retention-days: 14 2025-08-14T22:20:05.4415820Z if-no-files-found: ignore 2025-08-14T22:20:05.4416016Z path: logs-*.zip 2025-08-14T22:20:05.4416176Z name: artifact 2025-08-14T22:20:05.4416340Z region: us-east-1 2025-08-14T22:20:05.4416506Z env: 2025-08-14T22:20:05.4416655Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:20:05.4416991Z DOCKER_CONTAINER_ID: 2dddb37ee66ffbfca4d5cb4a8ce2e72dfa4c597c4d5d00c8cf3abd796f0cf2c8 2025-08-14T22:20:05.4417344Z DEVICE_NAME: 2025-08-14T22:20:05.4417516Z DEVICE_TYPE: 2025-08-14T22:20:05.4417670Z ##[endgroup] 2025-08-14T22:20:05.7038941Z NOTE: s3-prefix specified, ignoring name parameter 2025-08-14T22:20:05.7039356Z With the provided path, there will be 1 file uploaded 2025-08-14T22:20:05.7039927Z Uploading to s3 prefix: pytorch/pytorch/16976338999/1/artifact 2025-08-14T22:20:05.7073375Z Starting upload of logs-test-cpu_inductor_amp_freezing_torchbench-1-2-linux.8xlarge.amx_48128261043.zip 2025-08-14T22:20:05.8135985Z Finished upload of logs-test-cpu_inductor_amp_freezing_torchbench-1-2-linux.8xlarge.amx_48128261043.zip 2025-08-14T22:20:05.8302105Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-08-14T22:20:05.8302327Z with: 2025-08-14T22:20:05.8302494Z s3-bucket: gha-artifacts 2025-08-14T22:20:05.8302712Z s3-prefix: pytorch/pytorch/16976338999/1/artifact 2025-08-14T22:20:05.8302931Z retention-days: 14 2025-08-14T22:20:05.8303101Z if-no-files-found: ignore 2025-08-14T22:20:05.8303281Z path: debug-*.zip 2025-08-14T22:20:05.8303429Z name: artifact 2025-08-14T22:20:05.8303582Z region: us-east-1 2025-08-14T22:20:05.8303733Z env: 2025-08-14T22:20:05.8303982Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:20:05.8304332Z DOCKER_CONTAINER_ID: 2dddb37ee66ffbfca4d5cb4a8ce2e72dfa4c597c4d5d00c8cf3abd796f0cf2c8 2025-08-14T22:20:05.8304693Z DEVICE_NAME: 2025-08-14T22:20:05.8304859Z DEVICE_TYPE: 2025-08-14T22:20:05.8305016Z ##[endgroup] 2025-08-14T22:20:06.0833592Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded. 2025-08-14T22:20:06.0992303Z ##[group]Run # shellcheck disable=SC2156 2025-08-14T22:20:06.0992558Z # shellcheck disable=SC2156 2025-08-14T22:20:06.0992908Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \; 2025-08-14T22:20:06.0997714Z shell: /usr/bin/bash -e {0} 2025-08-14T22:20:06.0997903Z env: 2025-08-14T22:20:06.0998047Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:20:06.0998357Z DOCKER_CONTAINER_ID: 2dddb37ee66ffbfca4d5cb4a8ce2e72dfa4c597c4d5d00c8cf3abd796f0cf2c8 2025-08-14T22:20:06.0998663Z DEVICE_NAME: 2025-08-14T22:20:06.0998822Z DEVICE_TYPE: 2025-08-14T22:20:06.0998963Z ##[endgroup] 2025-08-14T22:20:06.2822059Z Prepare all required actions 2025-08-14T22:20:06.2822436Z Getting action download info 2025-08-14T22:20:06.3859487Z ##[group]Run ./.github/actions/upload-utilization-stats 2025-08-14T22:20:06.3859748Z with: 2025-08-14T22:20:06.3859915Z job_id: 48128261043 2025-08-14T22:20:06.3860280Z job_name: linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_amp_freezing_torchbench, 1, 2, linux.8xlarge.amx) 2025-08-14T22:20:06.3860685Z workflow_name: inductor-periodic 2025-08-14T22:20:06.3860917Z workflow_run_id: 16976338999 2025-08-14T22:20:06.3861134Z workflow_attempt: 1 2025-08-14T22:20:06.3861335Z env: 2025-08-14T22:20:06.3861522Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:20:06.3861923Z DOCKER_CONTAINER_ID: 2dddb37ee66ffbfca4d5cb4a8ce2e72dfa4c597c4d5d00c8cf3abd796f0cf2c8 2025-08-14T22:20:06.3862341Z DEVICE_NAME: 2025-08-14T22:20:06.3862545Z DEVICE_TYPE: 2025-08-14T22:20:06.3862739Z ##[endgroup] 2025-08-14T22:20:06.3874965Z ##[group]Run echo "workflow_id: 16976338999" 2025-08-14T22:20:06.3875273Z echo "workflow_id: 16976338999" 2025-08-14T22:20:06.3875509Z echo "workflow_attempt: 1" 2025-08-14T22:20:06.3875756Z echo "workflow_Name: inductor-periodic" 2025-08-14T22:20:06.3875993Z echo "job_id: 48128261043" 2025-08-14T22:20:06.3876432Z echo "job_name: linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_amp_freezing_torchbench, 1, 2, linux.8xlarge.amx)" 2025-08-14T22:20:06.3876866Z echo "artifact_prefix: " 2025-08-14T22:20:06.3877093Z python3 --version 2025-08-14T22:20:06.3882837Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:20:06.3883105Z env: 2025-08-14T22:20:06.3883269Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:20:06.3883614Z DOCKER_CONTAINER_ID: 2dddb37ee66ffbfca4d5cb4a8ce2e72dfa4c597c4d5d00c8cf3abd796f0cf2c8 2025-08-14T22:20:06.3883965Z DEVICE_NAME: 2025-08-14T22:20:06.3884126Z DEVICE_TYPE: 2025-08-14T22:20:06.3884300Z ##[endgroup] 2025-08-14T22:20:06.3906239Z workflow_id: 16976338999 2025-08-14T22:20:06.3906759Z workflow_attempt: 1 2025-08-14T22:20:06.3906994Z workflow_Name: inductor-periodic 2025-08-14T22:20:06.3907203Z job_id: 48128261043 2025-08-14T22:20:06.3907618Z job_name: linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_amp_freezing_torchbench, 1, 2, linux.8xlarge.amx) 2025-08-14T22:20:06.3908012Z artifact_prefix: 2025-08-14T22:20:06.3918480Z Python 3.9.23 2025-08-14T22:20:06.3949179Z ##[group]Run nick-fields/retry@v3.0.0 2025-08-14T22:20:06.3949410Z with: 2025-08-14T22:20:06.3949580Z shell: bash 2025-08-14T22:20:06.3949763Z timeout_minutes: 5 2025-08-14T22:20:06.3949937Z max_attempts: 5 2025-08-14T22:20:06.3950116Z retry_wait_seconds: 30 2025-08-14T22:20:06.3950495Z 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 2025-08-14T22:20:06.3950872Z polling_interval_seconds: 1 2025-08-14T22:20:06.3951140Z warning_on_retry: true 2025-08-14T22:20:06.3951341Z continue_on_error: false 2025-08-14T22:20:06.3951538Z env: 2025-08-14T22:20:06.3951687Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:20:06.3952017Z DOCKER_CONTAINER_ID: 2dddb37ee66ffbfca4d5cb4a8ce2e72dfa4c597c4d5d00c8cf3abd796f0cf2c8 2025-08-14T22:20:06.3952353Z DEVICE_NAME: 2025-08-14T22:20:06.3952512Z DEVICE_TYPE: 2025-08-14T22:20:06.3952674Z ##[endgroup] 2025-08-14T22:20:06.6706864Z Defaulting to user installation because normal site-packages is not writeable 2025-08-14T22:20:06.7327548Z Collecting python-dateutil==2.8.2 2025-08-14T22:20:06.7486594Z Downloading python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB) 2025-08-14T22:20:07.4884547Z Collecting boto3==1.35.42 2025-08-14T22:20:07.4929560Z Downloading boto3-1.35.42-py3-none-any.whl (139 kB) 2025-08-14T22:20:07.8792050Z Collecting pandas==2.1.3 2025-08-14T22:20:07.8829032Z Downloading pandas-2.1.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.3 MB) 2025-08-14T22:20:07.9867492Z Requirement already satisfied: dataclasses_json==0.6.7 in /home/ec2-user/.local/lib/python3.9/site-packages (0.6.7) 2025-08-14T22:20:07.9876075Z Requirement already satisfied: six>=1.5 in /usr/lib/python3.9/site-packages (from python-dateutil==2.8.2) (1.15.0) 2025-08-14T22:20:07.9914204Z 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) 2025-08-14T22:20:07.9924394Z 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) 2025-08-14T22:20:07.9925084Z 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) 2025-08-14T22:20:08.6838413Z Collecting numpy<2,>=1.22.4 2025-08-14T22:20:08.6888448Z Downloading numpy-1.26.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (18.2 MB) 2025-08-14T22:20:08.8399031Z Collecting tzdata>=2022.1 2025-08-14T22:20:08.8435360Z Downloading tzdata-2025.2-py2.py3-none-any.whl (347 kB) 2025-08-14T22:20:08.8526425Z Requirement already satisfied: pytz>=2020.1 in /usr/lib/python3.9/site-packages (from pandas==2.1.3) (2022.7.1) 2025-08-14T22:20:08.8568612Z 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) 2025-08-14T22:20:08.8569352Z 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) 2025-08-14T22:20:08.8617066Z 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) 2025-08-14T22:20:08.8708245Z 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) 2025-08-14T22:20:08.8789272Z 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) 2025-08-14T22:20:08.8790746Z 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) 2025-08-14T22:20:09.0056120Z Installing collected packages: python-dateutil, tzdata, numpy, pandas, boto3 2025-08-14T22:20:13.1955104Z Attempting uninstall: boto3 2025-08-14T22:20:13.1955423Z Found existing installation: boto3 1.35.33 2025-08-14T22:20:13.2029503Z Uninstalling boto3-1.35.33: 2025-08-14T22:20:13.2041366Z Successfully uninstalled boto3-1.35.33 2025-08-14T22:20:13.2496132Z Successfully installed boto3-1.35.42 numpy-1.26.4 pandas-2.1.3 python-dateutil-2.8.2 tzdata-2025.2 2025-08-14T22:20:13.4660503Z Command completed after 1 attempt(s). 2025-08-14T22:20:13.4712135Z ##[group]Run python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-08-14T22:20:13.4712744Z python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-08-14T22:20:13.4713089Z  --workflow-run-id "16976338999" \ 2025-08-14T22:20:13.4713347Z  --workflow-name "inductor-periodic" \ 2025-08-14T22:20:13.4713623Z  --workflow-run-attempt "1" \ 2025-08-14T22:20:13.4713845Z  --job-id "48128261043" \ 2025-08-14T22:20:13.4714263Z  --job-name "linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_amp_freezing_torchbench, 1, 2, linux.8xlarge.amx)" \ 2025-08-14T22:20:13.4714695Z  --local-path "" \ 2025-08-14T22:20:13.4715085Z  --artifact-prefix "" 2025-08-14T22:20:13.4720584Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:20:13.4720835Z env: 2025-08-14T22:20:13.4721003Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:20:13.4721330Z DOCKER_CONTAINER_ID: 2dddb37ee66ffbfca4d5cb4a8ce2e72dfa4c597c4d5d00c8cf3abd796f0cf2c8 2025-08-14T22:20:13.4721674Z DEVICE_NAME: 2025-08-14T22:20:13.4721847Z DEVICE_TYPE: 2025-08-14T22:20:13.4722134Z ##[endgroup] 2025-08-14T22:20:14.5158981Z repo: pytorch/pytorch 2025-08-14T22:20:14.5162622Z Search for test log in s3 bucket: ossci-utilization 2025-08-14T22:20:14.5168785Z Downloading logs-test-cpu_inductor_amp_freezing_torchbench-1-2-linux.8xlarge.amx_48128261043.zip 2025-08-14T22:20:14.5171355Z extracting usage_log.txt from zip file logs-test-cpu_inductor_amp_freezing_torchbench-1-2-linux.8xlarge.amx_48128261043.zip 2025-08-14T22:20:14.5174752Z Converted Log Model: UtilizationMetadata: 2025-08-14T22:20:14.5175783Z UtilizationMetadata(level='metadata', workflow_id='16976338999', job_id='48128261043', workflow_name='inductor-periodic', job_name='linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_amp_freezing_torchbench, 1, 2, linux.8xlarge.amx)', usage_collect_interval=1.0, data_model_version=1.5, start_at=1755207263, gpu_count=0, cpu_count=32, gpu_type=None, error=None) 2025-08-14T22:20:14.5176845Z [Db Segments] detected pytest cmd: 11, generated segments: 11 2025-08-14T22:20:14.5177190Z [db model] Peek db timeseries 2025-08-14T22:20:14.5177394Z :{ 2025-08-14T22:20:14.5177552Z "created_at": 1755210014, 2025-08-14T22:20:14.5177753Z "type": "utilization", 2025-08-14T22:20:14.5177936Z "tags": [ 2025-08-14T22:20:14.5178097Z "record" 2025-08-14T22:20:14.5178262Z ], 2025-08-14T22:20:14.5178416Z "time_stamp": 1755207263, 2025-08-14T22:20:14.5178625Z "repo": "pytorch/pytorch", 2025-08-14T22:20:14.5178826Z "workflow_id": 16976338999, 2025-08-14T22:20:14.5179015Z "run_attempt": 1, 2025-08-14T22:20:14.5179194Z "job_id": 48128261043, 2025-08-14T22:20:14.5179399Z "workflow_name": "inductor-periodic", 2025-08-14T22:20:14.5179821Z "job_name": "linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_amp_freezing_torchbench, 1, 2, linux.8xlarge.amx)", 2025-08-14T22:20:14.5180224Z "json_data": "{}" 2025-08-14T22:20:14.5180396Z } 2025-08-14T22:20:14.5180734Z Writing 1 documents to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/16976338999/1/48128261043/metadata 2025-08-14T22:20:14.5181657Z Done! Finish writing document to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/16976338999/1/48128261043/metadata 2025-08-14T22:20:14.5182207Z Writing 546 documents to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/16976338999/1/48128261043/time_series 2025-08-14T22:20:14.5182760Z Done! Finish writing document to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/16976338999/1/48128261043/time_series 2025-08-14T22:20:14.6240146Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main 2025-08-14T22:20:14.6240532Z with: 2025-08-14T22:20:14.6240724Z env: 2025-08-14T22:20:14.6240910Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:20:14.6241322Z DOCKER_CONTAINER_ID: 2dddb37ee66ffbfca4d5cb4a8ce2e72dfa4c597c4d5d00c8cf3abd796f0cf2c8 2025-08-14T22:20:14.6241745Z DEVICE_NAME: 2025-08-14T22:20:14.6241941Z DEVICE_TYPE: 2025-08-14T22:20:14.6242134Z ##[endgroup] 2025-08-14T22:20:14.6255424Z ##[group]Run set -eou pipefail 2025-08-14T22:20:14.6255708Z set -eou pipefail 2025-08-14T22:20:14.6255951Z  2025-08-14T22:20:14.6256249Z echo "Holding runner for 2 hours until all ssh sessions have logged out" 2025-08-14T22:20:14.6256615Z for _ in $(seq 1440); do 2025-08-14T22:20:14.6256888Z  # Break if no ssh session exists anymore 2025-08-14T22:20:14.6257164Z  if [ "$(who)" = "" ]; then 2025-08-14T22:20:14.6257393Z  break 2025-08-14T22:20:14.6257621Z  fi 2025-08-14T22:20:14.6257804Z  echo "." 2025-08-14T22:20:14.6258005Z  sleep 5 2025-08-14T22:20:14.6258200Z done 2025-08-14T22:20:14.6263597Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:20:14.6263891Z env: 2025-08-14T22:20:14.6264077Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:20:14.6264462Z DOCKER_CONTAINER_ID: 2dddb37ee66ffbfca4d5cb4a8ce2e72dfa4c597c4d5d00c8cf3abd796f0cf2c8 2025-08-14T22:20:14.6264861Z DEVICE_NAME: 2025-08-14T22:20:14.6265048Z DEVICE_TYPE: 2025-08-14T22:20:14.6265242Z ##[endgroup] 2025-08-14T22:20:14.6289566Z Holding runner for 2 hours until all ssh sessions have logged out 2025-08-14T22:20:14.6365460Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-08-14T22:20:14.6366052Z # ignore expansion of "docker ps -q" since it could be empty 2025-08-14T22:20:14.6366341Z # shellcheck disable=SC2046 2025-08-14T22:20:14.6366593Z docker stop $(docker ps -q) || true 2025-08-14T22:20:14.6366826Z # Prune all of the docker images 2025-08-14T22:20:14.6367063Z docker system prune -af 2025-08-14T22:20:14.6371687Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:20:14.6371951Z env: 2025-08-14T22:20:14.6372121Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:20:14.6372462Z DOCKER_CONTAINER_ID: 2dddb37ee66ffbfca4d5cb4a8ce2e72dfa4c597c4d5d00c8cf3abd796f0cf2c8 2025-08-14T22:20:14.6372816Z DEVICE_NAME: 2025-08-14T22:20:14.6372993Z DEVICE_TYPE: 2025-08-14T22:20:14.6373168Z ##[endgroup] 2025-08-14T22:20:25.5462797Z 2dddb37ee66f 2025-08-14T22:20:25.9213770Z Deleted Containers: 2025-08-14T22:20:25.9214452Z 2dddb37ee66ffbfca4d5cb4a8ce2e72dfa4c597c4d5d00c8cf3abd796f0cf2c8 2025-08-14T22:20:25.9214736Z 2025-08-14T22:20:33.3117187Z Deleted Images: 2025-08-14T22:20:33.3117928Z 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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2025-08-14T22:20:33.4110302Z git version 2.47.1 2025-08-14T22:20:33.4146079Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/a326c77b-6b7f-4c6a-b11c-a6b71bccd6fd/.gitconfig' 2025-08-14T22:20:33.4169983Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/a326c77b-6b7f-4c6a-b11c-a6b71bccd6fd' before making global git config changes 2025-08-14T22:20:33.4170643Z Adding repository directory to the temporary git global config as a safe directory 2025-08-14T22:20:33.4179223Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-08-14T22:20:33.4222125Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-08-14T22:20:33.4262574Z [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' || :" 2025-08-14T22:20:33.4569606Z Entering 'android/libs/fbjni' 2025-08-14T22:20:33.4623455Z Entering 'third_party/FP16' 2025-08-14T22:20:33.4681488Z Entering 'third_party/FXdiv' 2025-08-14T22:20:33.4738185Z Entering 'third_party/NNPACK' 2025-08-14T22:20:33.4790219Z Entering 'third_party/NVTX' 2025-08-14T22:20:33.4845585Z Entering 'third_party/VulkanMemoryAllocator' 2025-08-14T22:20:33.4904908Z Entering 'third_party/XNNPACK' 2025-08-14T22:20:33.4971193Z Entering 'third_party/aiter' 2025-08-14T22:20:33.5027616Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-08-14T22:20:33.5092112Z Entering 'third_party/benchmark' 2025-08-14T22:20:33.5152658Z Entering 'third_party/composable_kernel' 2025-08-14T22:20:33.5211497Z Entering 'third_party/cpp-httplib' 2025-08-14T22:20:33.5271092Z Entering 'third_party/cpuinfo' 2025-08-14T22:20:33.5320048Z Entering 'third_party/cudnn_frontend' 2025-08-14T22:20:33.5376423Z Entering 'third_party/cutlass' 2025-08-14T22:20:33.5438102Z Entering 'third_party/fbgemm' 2025-08-14T22:20:33.5493305Z Entering 'third_party/fbgemm/external/asmjit' 2025-08-14T22:20:33.5553902Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-08-14T22:20:33.5609370Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-08-14T22:20:33.5664226Z Entering 'third_party/fbgemm/external/cutlass' 2025-08-14T22:20:33.5729914Z Entering 'third_party/fbgemm/external/googletest' 2025-08-14T22:20:33.5788594Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-08-14T22:20:33.5840308Z Entering 'third_party/fbgemm/external/json' 2025-08-14T22:20:33.5896310Z Entering 'third_party/flash-attention' 2025-08-14T22:20:33.5953235Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-08-14T22:20:33.6009945Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-08-14T22:20:33.6076369Z Entering 'third_party/flatbuffers' 2025-08-14T22:20:33.6133055Z Entering 'third_party/fmt' 2025-08-14T22:20:33.6193870Z Entering 'third_party/gemmlowp/gemmlowp' 2025-08-14T22:20:33.6249460Z Entering 'third_party/gloo' 2025-08-14T22:20:33.6304099Z Entering 'third_party/googletest' 2025-08-14T22:20:33.6363807Z Entering 'third_party/ideep' 2025-08-14T22:20:33.6409595Z Entering 'third_party/ideep/mkl-dnn' 2025-08-14T22:20:33.6474181Z Entering 'third_party/ittapi' 2025-08-14T22:20:33.6539129Z Entering 'third_party/kineto' 2025-08-14T22:20:33.6589757Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-14T22:20:33.6645413Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-14T22:20:33.6701007Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-14T22:20:33.6759911Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-14T22:20:33.6811709Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-14T22:20:33.6865980Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-14T22:20:33.6921278Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-14T22:20:33.6979553Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-14T22:20:33.7032479Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-14T22:20:33.7086551Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-08-14T22:20:33.7147188Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-08-14T22:20:33.7202524Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-08-14T22:20:33.7259571Z Entering 'third_party/kleidiai' 2025-08-14T22:20:33.7318088Z Entering 'third_party/mimalloc' 2025-08-14T22:20:33.7384081Z Entering 'third_party/nlohmann' 2025-08-14T22:20:33.7447280Z Entering 'third_party/onnx' 2025-08-14T22:20:33.7517138Z Entering 'third_party/onnx/third_party/pybind11' 2025-08-14T22:20:33.7579103Z Entering 'third_party/opentelemetry-cpp' 2025-08-14T22:20:33.7634855Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-08-14T22:20:33.7691600Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-08-14T22:20:33.7756097Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-08-14T22:20:33.7808093Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-14T22:20:33.7865033Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-14T22:20:33.7921829Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-14T22:20:33.7987645Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-14T22:20:33.8041346Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-08-14T22:20:33.8096434Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-08-14T22:20:33.8160954Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-14T22:20:33.8230357Z Entering 'third_party/pocketfft' 2025-08-14T22:20:33.8285909Z Entering 'third_party/protobuf' 2025-08-14T22:20:33.8344911Z Entering 'third_party/protobuf/third_party/benchmark' 2025-08-14T22:20:33.8403950Z Entering 'third_party/protobuf/third_party/googletest' 2025-08-14T22:20:33.8460283Z Entering 'third_party/psimd' 2025-08-14T22:20:33.8515995Z Entering 'third_party/pthreadpool' 2025-08-14T22:20:33.8573751Z Entering 'third_party/pybind11' 2025-08-14T22:20:33.8627359Z Entering 'third_party/python-peachpy' 2025-08-14T22:20:33.8683469Z Entering 'third_party/sleef' 2025-08-14T22:20:33.8737904Z Entering 'third_party/tensorpipe' 2025-08-14T22:20:33.8790186Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-08-14T22:20:33.8842338Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-08-14T22:20:33.8894631Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-08-14T22:20:33.8949624Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-08-14T22:20:33.9004667Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-14T22:20:33.9083089Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-08-14T22:20:33.9106960Z http.https://github.com/.extraheader 2025-08-14T22:20:33.9115928Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader 2025-08-14T22:20:33.9149287Z [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' || :" 2025-08-14T22:20:33.9453225Z Entering 'android/libs/fbjni' 2025-08-14T22:20:33.9490228Z http.https://github.com/.extraheader 2025-08-14T22:20:33.9522482Z Entering 'third_party/FP16' 2025-08-14T22:20:33.9561029Z http.https://github.com/.extraheader 2025-08-14T22:20:33.9602608Z Entering 'third_party/FXdiv' 2025-08-14T22:20:33.9641979Z http.https://github.com/.extraheader 2025-08-14T22:20:33.9683079Z Entering 'third_party/NNPACK' 2025-08-14T22:20:33.9716924Z http.https://github.com/.extraheader 2025-08-14T22:20:33.9756971Z Entering 'third_party/NVTX' 2025-08-14T22:20:33.9793739Z http.https://github.com/.extraheader 2025-08-14T22:20:33.9832705Z Entering 'third_party/VulkanMemoryAllocator' 2025-08-14T22:20:33.9872279Z http.https://github.com/.extraheader 2025-08-14T22:20:33.9903286Z Entering 'third_party/XNNPACK' 2025-08-14T22:20:33.9945487Z http.https://github.com/.extraheader 2025-08-14T22:20:33.9992420Z Entering 'third_party/aiter' 2025-08-14T22:20:34.0031245Z http.https://github.com/.extraheader 2025-08-14T22:20:34.0071250Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-08-14T22:20:34.0100767Z http.https://github.com/.extraheader 2025-08-14T22:20:34.0144297Z Entering 'third_party/benchmark' 2025-08-14T22:20:34.0179373Z http.https://github.com/.extraheader 2025-08-14T22:20:34.0209628Z Entering 'third_party/composable_kernel' 2025-08-14T22:20:34.0244687Z http.https://github.com/.extraheader 2025-08-14T22:20:34.0286353Z Entering 'third_party/cpp-httplib' 2025-08-14T22:20:34.0323699Z http.https://github.com/.extraheader 2025-08-14T22:20:34.0362622Z Entering 'third_party/cpuinfo' 2025-08-14T22:20:34.0399094Z http.https://github.com/.extraheader 2025-08-14T22:20:34.0436411Z Entering 'third_party/cudnn_frontend' 2025-08-14T22:20:34.0473730Z http.https://github.com/.extraheader 2025-08-14T22:20:34.0507022Z Entering 'third_party/cutlass' 2025-08-14T22:20:34.0545451Z http.https://github.com/.extraheader 2025-08-14T22:20:34.0588307Z Entering 'third_party/fbgemm' 2025-08-14T22:20:34.0624763Z http.https://github.com/.extraheader 2025-08-14T22:20:34.0670759Z Entering 'third_party/fbgemm/external/asmjit' 2025-08-14T22:20:34.0706605Z http.https://github.com/.extraheader 2025-08-14T22:20:34.0734973Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-08-14T22:20:34.0771652Z http.https://github.com/.extraheader 2025-08-14T22:20:34.0812721Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-08-14T22:20:34.0849564Z http.https://github.com/.extraheader 2025-08-14T22:20:34.0887614Z Entering 'third_party/fbgemm/external/cutlass' 2025-08-14T22:20:34.0920399Z http.https://github.com/.extraheader 2025-08-14T22:20:34.0967226Z Entering 'third_party/fbgemm/external/googletest' 2025-08-14T22:20:34.0998519Z http.https://github.com/.extraheader 2025-08-14T22:20:34.1030996Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-08-14T22:20:34.1068155Z http.https://github.com/.extraheader 2025-08-14T22:20:34.1099584Z Entering 'third_party/fbgemm/external/json' 2025-08-14T22:20:34.1140489Z http.https://github.com/.extraheader 2025-08-14T22:20:34.1183991Z Entering 'third_party/flash-attention' 2025-08-14T22:20:34.1213652Z http.https://github.com/.extraheader 2025-08-14T22:20:34.1246594Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-08-14T22:20:34.1285734Z http.https://github.com/.extraheader 2025-08-14T22:20:34.1325297Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-08-14T22:20:34.1360326Z http.https://github.com/.extraheader 2025-08-14T22:20:34.1402386Z Entering 'third_party/flatbuffers' 2025-08-14T22:20:34.1443594Z http.https://github.com/.extraheader 2025-08-14T22:20:34.1489252Z Entering 'third_party/fmt' 2025-08-14T22:20:34.1519734Z http.https://github.com/.extraheader 2025-08-14T22:20:34.1555974Z Entering 'third_party/gemmlowp/gemmlowp' 2025-08-14T22:20:34.1596633Z http.https://github.com/.extraheader 2025-08-14T22:20:34.1631658Z Entering 'third_party/gloo' 2025-08-14T22:20:34.1669585Z http.https://github.com/.extraheader 2025-08-14T22:20:34.1706440Z Entering 'third_party/googletest' 2025-08-14T22:20:34.1745798Z http.https://github.com/.extraheader 2025-08-14T22:20:34.1782969Z Entering 'third_party/ideep' 2025-08-14T22:20:34.1817008Z http.https://github.com/.extraheader 2025-08-14T22:20:34.1852546Z Entering 'third_party/ideep/mkl-dnn' 2025-08-14T22:20:34.1889849Z http.https://github.com/.extraheader 2025-08-14T22:20:34.1925269Z Entering 'third_party/ittapi' 2025-08-14T22:20:34.1966346Z http.https://github.com/.extraheader 2025-08-14T22:20:34.2005784Z Entering 'third_party/kineto' 2025-08-14T22:20:34.2041606Z http.https://github.com/.extraheader 2025-08-14T22:20:34.2079829Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-14T22:20:34.2112435Z http.https://github.com/.extraheader 2025-08-14T22:20:34.2150679Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-14T22:20:34.2185640Z http.https://github.com/.extraheader 2025-08-14T22:20:34.2221704Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-14T22:20:34.2255444Z http.https://github.com/.extraheader 2025-08-14T22:20:34.2292593Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-14T22:20:34.2326688Z http.https://github.com/.extraheader 2025-08-14T22:20:34.2364677Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-14T22:20:34.2401464Z http.https://github.com/.extraheader 2025-08-14T22:20:34.2428902Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-14T22:20:34.2468474Z http.https://github.com/.extraheader 2025-08-14T22:20:34.2505674Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-14T22:20:34.2545393Z http.https://github.com/.extraheader 2025-08-14T22:20:34.2581832Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-14T22:20:34.2619089Z http.https://github.com/.extraheader 2025-08-14T22:20:34.2655095Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-14T22:20:34.2691534Z http.https://github.com/.extraheader 2025-08-14T22:20:34.2726020Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-08-14T22:20:34.2763991Z http.https://github.com/.extraheader 2025-08-14T22:20:34.2800905Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-08-14T22:20:34.2839621Z http.https://github.com/.extraheader 2025-08-14T22:20:34.2876341Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-08-14T22:20:34.2911810Z http.https://github.com/.extraheader 2025-08-14T22:20:34.2956578Z Entering 'third_party/kleidiai' 2025-08-14T22:20:34.2988891Z http.https://github.com/.extraheader 2025-08-14T22:20:34.3023067Z Entering 'third_party/mimalloc' 2025-08-14T22:20:34.3060937Z http.https://github.com/.extraheader 2025-08-14T22:20:34.3092181Z Entering 'third_party/nlohmann' 2025-08-14T22:20:34.3129244Z http.https://github.com/.extraheader 2025-08-14T22:20:34.3167353Z Entering 'third_party/onnx' 2025-08-14T22:20:34.3206065Z http.https://github.com/.extraheader 2025-08-14T22:20:34.3259555Z Entering 'third_party/onnx/third_party/pybind11' 2025-08-14T22:20:34.3297850Z http.https://github.com/.extraheader 2025-08-14T22:20:34.3332231Z Entering 'third_party/opentelemetry-cpp' 2025-08-14T22:20:34.3367937Z http.https://github.com/.extraheader 2025-08-14T22:20:34.3404000Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-08-14T22:20:34.3439913Z http.https://github.com/.extraheader 2025-08-14T22:20:34.3481647Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-08-14T22:20:34.3514133Z http.https://github.com/.extraheader 2025-08-14T22:20:34.3552894Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-08-14T22:20:34.3586623Z http.https://github.com/.extraheader 2025-08-14T22:20:34.3622174Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-14T22:20:34.3664069Z http.https://github.com/.extraheader 2025-08-14T22:20:34.3693501Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-14T22:20:34.3729276Z http.https://github.com/.extraheader 2025-08-14T22:20:34.3763620Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-14T22:20:34.3798370Z http.https://github.com/.extraheader 2025-08-14T22:20:34.3837860Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-14T22:20:34.3870473Z http.https://github.com/.extraheader 2025-08-14T22:20:34.3906436Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-08-14T22:20:34.3947907Z http.https://github.com/.extraheader 2025-08-14T22:20:34.3978398Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-08-14T22:20:34.4014434Z http.https://github.com/.extraheader 2025-08-14T22:20:34.4051652Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-14T22:20:34.4089522Z http.https://github.com/.extraheader 2025-08-14T22:20:34.4143364Z Entering 'third_party/pocketfft' 2025-08-14T22:20:34.4180257Z http.https://github.com/.extraheader 2025-08-14T22:20:34.4216417Z Entering 'third_party/protobuf' 2025-08-14T22:20:34.4257200Z http.https://github.com/.extraheader 2025-08-14T22:20:34.4296459Z Entering 'third_party/protobuf/third_party/benchmark' 2025-08-14T22:20:34.4332178Z http.https://github.com/.extraheader 2025-08-14T22:20:34.4370181Z Entering 'third_party/protobuf/third_party/googletest' 2025-08-14T22:20:34.4406532Z http.https://github.com/.extraheader 2025-08-14T22:20:34.4444477Z Entering 'third_party/psimd' 2025-08-14T22:20:34.4482280Z http.https://github.com/.extraheader 2025-08-14T22:20:34.4518449Z Entering 'third_party/pthreadpool' 2025-08-14T22:20:34.4557248Z http.https://github.com/.extraheader 2025-08-14T22:20:34.4592978Z Entering 'third_party/pybind11' 2025-08-14T22:20:34.4630374Z http.https://github.com/.extraheader 2025-08-14T22:20:34.4664695Z Entering 'third_party/python-peachpy' 2025-08-14T22:20:34.4698908Z http.https://github.com/.extraheader 2025-08-14T22:20:34.4733024Z Entering 'third_party/sleef' 2025-08-14T22:20:34.4768741Z http.https://github.com/.extraheader 2025-08-14T22:20:34.4802843Z Entering 'third_party/tensorpipe' 2025-08-14T22:20:34.4842771Z http.https://github.com/.extraheader 2025-08-14T22:20:34.4874877Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-08-14T22:20:34.4908723Z http.https://github.com/.extraheader 2025-08-14T22:20:34.4948207Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-08-14T22:20:34.4984869Z http.https://github.com/.extraheader 2025-08-14T22:20:34.5022105Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-08-14T22:20:34.5066409Z http.https://github.com/.extraheader 2025-08-14T22:20:34.5101920Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-08-14T22:20:34.5141364Z http.https://github.com/.extraheader 2025-08-14T22:20:34.5171224Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-14T22:20:34.5206814Z http.https://github.com/.extraheader 2025-08-14T22:20:34.5342335Z A job completed hook has been configured by the self-hosted runner administrator 2025-08-14T22:20:34.5354974Z ##[group]Run '/home/ec2-user/runner-scripts/after_job.sh' 2025-08-14T22:20:34.5358612Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:20:34.5358882Z ##[endgroup] 2025-08-14T22:20:34.5450424Z [!ALERT!] Swap in detected! [!ALERT!] 2025-08-14T22:20:44.0865807Z [!ALERT!] Swap out detected [!ALERT!] 2025-08-14T22:20:59.8527036Z Cleaning up orphan processes