2025-12-04T08:25:47.3506135Z Current runner version: '2.330.0' 2025-12-04T08:25:47.3510677Z Runner name: 'i-0ee5da048c1e0ea70' 2025-12-04T08:25:47.3511502Z Runner group name: 'default' 2025-12-04T08:25:47.3512310Z Machine name: 'ip-10-0-69-97' 2025-12-04T08:25:47.3514306Z ##[group]GITHUB_TOKEN Permissions 2025-12-04T08:25:47.3516497Z Contents: read 2025-12-04T08:25:47.3516981Z Metadata: read 2025-12-04T08:25:47.3517341Z ##[endgroup] 2025-12-04T08:25:47.3518975Z Secret source: Actions 2025-12-04T08:25:47.3519550Z Prepare workflow directory 2025-12-04T08:25:47.3894999Z Prepare all required actions 2025-12-04T08:25:47.3925813Z Getting action download info 2025-12-04T08:25:47.7358960Z Download action repository 'pytorch/test-infra@main' (SHA:39aa74d619174326f4e2fb0e216151c2f29d9ffd) 2025-12-04T08:25:50.4829753Z Download action repository 'pytorch/pytorch@main' (SHA:ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32) 2025-12-04T08:26:07.0925267Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065) 2025-12-04T08:26:07.4702778Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722) 2025-12-04T08:26:07.7273974Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076) 2025-12-04T08:26:07.9139625Z Download action repository 'seemethere/download-artifact-s3@1da556a7aa0a088e3153970611f6c432d58e80e6' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-12-04T08:26:08.1460791Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-12-04T08:26:08.4109844Z Getting action download info 2025-12-04T08:26:08.5223046Z Download action repository 'actions/checkout@v4' (SHA:34e114876b0b11c390a56381ad16ebd13914f8d5) 2025-12-04T08:26:08.8346350Z Getting action download info 2025-12-04T08:26:08.9605763Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e) 2025-12-04T08:26:09.1693013Z Getting action download info 2025-12-04T08:26:09.2903315Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482) 2025-12-04T08:26:09.4986721Z Getting action download info 2025-12-04T08:26:09.6399272Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32) 2025-12-04T08:26:09.6402448Z ##[group] Inputs 2025-12-04T08:26:09.6402812Z build-environment: linux-jammy-py3.10-gcc11-build 2025-12-04T08:26:09.6404474Z test-matrix: {"include": [{"config": "cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.2xlarge.amx"}, {"config": "cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.2xlarge.amx"}, {"config": "dynamic_cpu_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.2xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.2xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.2xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.2xlarge.amx"}, {"config": "inductor_torchbench_cpu_smoketest_perf", "shard": 1, "num_shards": 1, "runner": "linux.24xl.spr-metal"}]} 2025-12-04T08:26:09.6406321Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:26:09.6406917Z sync-tag: 2025-12-04T08:26:09.6407559Z timeout-minutes: 240 2025-12-04T08:26:09.6407784Z use-gha: 2025-12-04T08:26:09.6408020Z dashboard-tag: 2025-12-04T08:26:09.6408256Z s3-bucket: gha-artifacts 2025-12-04T08:26:09.6408723Z aws-role-to-assume: 2025-12-04T08:26:09.6409217Z disable-monitor: false 2025-12-04T08:26:09.6409501Z monitor-log-interval: 5 2025-12-04T08:26:09.6409775Z monitor-data-collect-interval: 1 2025-12-04T08:26:09.6410027Z ##[endgroup] 2025-12-04T08:26:09.6410385Z Complete job name: inductor-cpu-test / test (cpu_inductor_torchbench, 1, 2, linux.2xlarge.amx) 2025-12-04T08:26:09.6768720Z A job started hook has been configured by the self-hosted runner administrator 2025-12-04T08:26:09.6842759Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh' 2025-12-04T08:26:09.6849206Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:26:09.6849740Z ##[endgroup] 2025-12-04T08:26:10.6378351Z Runner Type: linux.2xlarge.amx 2025-12-04T08:26:10.6378868Z Instance Type: m7i-flex.2xlarge 2025-12-04T08:26:10.6379189Z AMI Name: unknown 2025-12-04T08:26:10.6464387Z AMI ID: ami-08982f1c5bf93d976 2025-12-04T08:26:14.5025202Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main 2025-12-04T08:26:14.5025515Z with: 2025-12-04T08:26:14.5026057Z github-secret: *** 2025-12-04T08:26:14.5026680Z instructions: All testing is done inside the container, to start an interactive session run: docker exec -it $(docker container ps --format '{{.ID}}') bash 2025-12-04T08:26:14.5027133Z activate-with-label: false 2025-12-04T08:26:14.5027326Z label: with-ssh 2025-12-04T08:26:14.5027504Z remove-existing-keys: true 2025-12-04T08:26:14.5027682Z fail-silently: true 2025-12-04T08:26:14.5027869Z env: 2025-12-04T08:26:14.5028025Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:26:14.5028206Z ##[endgroup] 2025-12-04T08:26:14.6187152Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info. 2025-12-04T08:26:14.6188064Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys 2025-12-04T08:26:14.6348976Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main 2025-12-04T08:26:14.6349244Z with: 2025-12-04T08:26:14.6349402Z no-sudo: true 2025-12-04T08:26:14.6349560Z submodules: recursive 2025-12-04T08:26:14.6349753Z fetch-depth: 0 2025-12-04T08:26:14.6349907Z env: 2025-12-04T08:26:14.6350047Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:26:14.6350226Z ##[endgroup] 2025-12-04T08:26:14.6420369Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T08:26:14.6420927Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T08:26:14.6427515Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:26:14.6427750Z env: 2025-12-04T08:26:14.6427907Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:26:14.6428082Z ##[endgroup] 2025-12-04T08:26:14.6511753Z ##[group]Run # Use all available CPUs for fetching 2025-12-04T08:26:14.6512050Z # Use all available CPUs for fetching 2025-12-04T08:26:14.6512281Z cd "${GITHUB_WORKSPACE}" 2025-12-04T08:26:14.6512544Z git config --global fetch.parallel 0 2025-12-04T08:26:14.6512796Z git config --global submodule.fetchJobs 0 2025-12-04T08:26:14.6513002Z  2025-12-04T08:26:14.6513219Z # Clean workspace. The default checkout action should also do this, but 2025-12-04T08:26:14.6513501Z # do it here as well just in case 2025-12-04T08:26:14.6513705Z if [[ -d .git ]]; then 2025-12-04T08:26:14.6513892Z  if [ -z "${NO_SUDO}" ]; then 2025-12-04T08:26:14.6514091Z  sudo git clean -ffdx 2025-12-04T08:26:14.6514273Z  else 2025-12-04T08:26:14.6514434Z  git clean -ffdx 2025-12-04T08:26:14.6514598Z  fi 2025-12-04T08:26:14.6514746Z fi 2025-12-04T08:26:14.6518921Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:26:14.6519153Z env: 2025-12-04T08:26:14.6519397Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:26:14.6519595Z NO_SUDO: true 2025-12-04T08:26:14.6519744Z ##[endgroup] 2025-12-04T08:26:14.6624983Z ##[group]Run actions/checkout@v4 2025-12-04T08:26:14.6625191Z with: 2025-12-04T08:26:14.6625377Z ref: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:26:14.6625587Z fetch-depth: 0 2025-12-04T08:26:14.6625754Z submodules: recursive 2025-12-04T08:26:14.6625928Z show-progress: false 2025-12-04T08:26:14.6626094Z repository: pytorch/pytorch 2025-12-04T08:26:14.6626383Z token: *** 2025-12-04T08:26:14.6626536Z ssh-strict: true 2025-12-04T08:26:14.6626693Z ssh-user: git 2025-12-04T08:26:14.6626849Z persist-credentials: true 2025-12-04T08:26:14.6627028Z clean: true 2025-12-04T08:26:14.6627206Z sparse-checkout-cone-mode: true 2025-12-04T08:26:14.6627392Z fetch-tags: false 2025-12-04T08:26:14.6627549Z lfs: false 2025-12-04T08:26:14.6627706Z set-safe-directory: true 2025-12-04T08:26:14.6627877Z env: 2025-12-04T08:26:14.6628025Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:26:14.6628192Z ##[endgroup] 2025-12-04T08:26:14.7472890Z Syncing repository: pytorch/pytorch 2025-12-04T08:26:14.7473850Z ##[group]Getting Git version info 2025-12-04T08:26:14.7474158Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-12-04T08:26:14.7474570Z [command]/usr/bin/git version 2025-12-04T08:26:14.7705362Z git version 2.50.1 2025-12-04T08:26:14.7733915Z ##[endgroup] 2025-12-04T08:26:14.7739028Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/da619139-7531-4109-a340-2387b28e804f/.gitconfig' 2025-12-04T08:26:14.7780008Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/da619139-7531-4109-a340-2387b28e804f' before making global git config changes 2025-12-04T08:26:14.7782021Z Adding repository directory to the temporary git global config as a safe directory 2025-12-04T08:26:14.7796754Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T08:26:14.7847747Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-12-04T08:26:14.7852366Z ##[group]Initializing the repository 2025-12-04T08:26:14.7859405Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T08:26:14.7920688Z hint: Using 'master' as the name for the initial branch. This default branch name 2025-12-04T08:26:14.7921102Z hint: is subject to change. To configure the initial branch name to use in all 2025-12-04T08:26:14.7921446Z hint: of your new repositories, which will suppress this warning, call: 2025-12-04T08:26:14.7921700Z hint: 2025-12-04T08:26:14.7921999Z hint: git config --global init.defaultBranch 2025-12-04T08:26:14.7922251Z hint: 2025-12-04T08:26:14.7922482Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2025-12-04T08:26:14.7922848Z hint: 'development'. The just-created branch can be renamed via this command: 2025-12-04T08:26:14.7923115Z hint: 2025-12-04T08:26:14.7923288Z hint: git branch -m 2025-12-04T08:26:14.7923466Z hint: 2025-12-04T08:26:14.7923686Z hint: Disable this message with "git config set advice.defaultBranchName false" 2025-12-04T08:26:14.7934180Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/ 2025-12-04T08:26:14.7945627Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch 2025-12-04T08:26:14.7985696Z ##[endgroup] 2025-12-04T08:26:14.7990192Z ##[group]Disabling automatic garbage collection 2025-12-04T08:26:14.7994767Z [command]/usr/bin/git config --local gc.auto 0 2025-12-04T08:26:14.8012425Z ##[endgroup] 2025-12-04T08:26:14.8012752Z ##[group]Setting up auth 2025-12-04T08:26:14.8018931Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-12-04T08:26:14.8048108Z [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' || :" 2025-12-04T08:26:14.8403145Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-12-04T08:26:14.8435090Z [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' || :" 2025-12-04T08:26:14.8732248Z [command]/usr/bin/git config --local --name-only --get-regexp ^includeIf\.gitdir: 2025-12-04T08:26:14.8760260Z [command]/usr/bin/git submodule foreach --recursive git config --local --show-origin --name-only --get-regexp remote.origin.url 2025-12-04T08:26:14.9035107Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-12-04T08:26:14.9101256Z ##[endgroup] 2025-12-04T08:26:14.9101875Z ##[group]Fetching the repository 2025-12-04T08:26:14.9107471Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2025-12-04T08:27:04.4035196Z From https://github.com/pytorch/pytorch 2025-12-04T08:27:04.4037961Z * [new branch] 2.6.0.dev20241004+ -> origin/2.6.0.dev20241004+ 2025-12-04T08:27:04.4038445Z * [new branch] 2.9.1 -> origin/2.9.1 2025-12-04T08:27:04.4042276Z * [new branch] AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest 2025-12-04T08:27:04.4042827Z * [new branch] Flamefire-patch-1 -> origin/Flamefire-patch-1 2025-12-04T08:27:04.4047391Z * [new branch] HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes 2025-12-04T08:27:04.4051847Z * [new branch] HOPrintFunc -> origin/HOPrintFunc 2025-12-04T08:27:04.4056189Z * [new branch] IvanKobzarev/stack/1 -> origin/IvanKobzarev/stack/1 2025-12-04T08:27:04.4060844Z * [new branch] NicoshevSVE128 -> origin/NicoshevSVE128 2025-12-04T08:27:04.4065803Z * [new branch] PR-AOTInductorNoneBug -> origin/PR-AOTInductorNoneBug 2025-12-04T08:27:04.4067813Z * [new branch] PR-AOTInductorNoneBugFix -> origin/PR-AOTInductorNoneBugFix 2025-12-04T08:27:04.4070215Z * [new branch] PR-FixConfigsIssue -> origin/PR-FixConfigsIssue 2025-12-04T08:27:04.4070680Z * [new branch] PR-NoneBugFix-viable -> origin/PR-NoneBugFix-viable 2025-12-04T08:27:04.4075276Z * [new branch] PR-ResetToZero -> origin/PR-ResetToZero 2025-12-04T08:27:04.4079296Z * [new branch] Update-Flash-Packaging -> origin/Update-Flash-Packaging 2025-12-04T08:27:04.4079853Z * [new branch] VLA_exp -> origin/VLA_exp 2025-12-04T08:27:04.4080663Z * [new branch] activation_bench -> origin/activation_bench 2025-12-04T08:27:04.4081193Z * [new branch] addmm-heuristic -> origin/addmm-heuristic 2025-12-04T08:27:04.4081516Z * [new branch] adi/onednn_aarch64 -> origin/adi/onednn_aarch64 2025-12-04T08:27:04.4081861Z * [new branch] adi/test -> origin/adi/test 2025-12-04T08:27:04.4082264Z * [new branch] adi/test_bgemm -> origin/adi/test_bgemm 2025-12-04T08:27:04.4082554Z * [new branch] adi/test_m8g -> origin/adi/test_m8g 2025-12-04T08:27:04.4082850Z * [new branch] adi/test_onednn -> origin/adi/test_onednn 2025-12-04T08:27:04.4083167Z * [new branch] adi/test_onednn_v3.9 -> origin/adi/test_onednn_v3.9 2025-12-04T08:27:04.4083500Z * [new branch] adi/test_presve_change -> origin/adi/test_presve_change 2025-12-04T08:27:04.4083803Z * [new branch] adi/test_timm -> origin/adi/test_timm 2025-12-04T08:27:04.4084120Z * [new branch] adi/testpresve_change -> origin/adi/testpresve_change 2025-12-04T08:27:04.4084479Z * [new branch] aditew01/test/vec_bf16 -> origin/aditew01/test/vec_bf16 2025-12-04T08:27:04.4085094Z * [new branch] ah-globalfeedback-hook -> origin/ah-globalfeedback-hook 2025-12-04T08:27:04.4085550Z * [new branch] albanD-patch-1 -> origin/albanD-patch-1 2025-12-04T08:27:04.4085876Z * [new branch] also-surround-shimh -> origin/also-surround-shimh 2025-12-04T08:27:04.4086206Z * [new branch] angelayi/aot_compile -> origin/angelayi/aot_compile 2025-12-04T08:27:04.4086567Z * [new branch] angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files 2025-12-04T08:27:04.4086923Z * [new branch] angelayi/benchmark -> origin/angelayi/benchmark 2025-12-04T08:27:04.4087309Z * [new branch] angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization 2025-12-04T08:27:04.4087684Z * [new branch] angelayi/cpp_loader -> origin/angelayi/cpp_loader 2025-12-04T08:27:04.4088018Z * [new branch] angelayi/inductor_const -> origin/angelayi/inductor_const 2025-12-04T08:27:04.4088342Z * [new branch] angelayi/lstm -> origin/angelayi/lstm 2025-12-04T08:27:04.4088650Z * [new branch] angelayi/no_so_weight -> origin/angelayi/no_so_weight 2025-12-04T08:27:04.4088963Z * [new branch] angelayi/scan_layers -> origin/angelayi/scan_layers 2025-12-04T08:27:04.4089276Z * [new branch] angelayi/side_eff -> origin/angelayi/side_eff 2025-12-04T08:27:04.4089590Z * [new branch] angelayi/state_dict -> origin/angelayi/state_dict 2025-12-04T08:27:04.4089911Z * [new branch] angelayi/symint_input -> origin/angelayi/symint_input 2025-12-04T08:27:04.4090267Z * [new branch] angelayi/symm_mem -> origin/angelayi/symm_mem 2025-12-04T08:27:04.4090581Z * [new branch] angelayi/test_cpp -> origin/angelayi/test_cpp 2025-12-04T08:27:04.4090895Z * [new branch] angelayi/torch_size -> origin/angelayi/torch_size 2025-12-04T08:27:04.4091203Z * [new branch] annotate_assert -> origin/annotate_assert 2025-12-04T08:27:04.4091515Z * [new branch] annotate_fallback_kernel -> origin/annotate_fallback_kernel 2025-12-04T08:27:04.4091844Z * [new branch] annotation_deepcopy -> origin/annotation_deepcopy 2025-12-04T08:27:04.4092155Z * [new branch] annotation_dynamo -> origin/annotation_dynamo 2025-12-04T08:27:04.4092460Z * [new branch] aot_eager_stack_trace -> origin/aot_eager_stack_trace 2025-12-04T08:27:04.4092770Z * [new 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branch] zb2p -> origin/zb2p 2025-12-04T08:27:04.7486222Z * [new branch] zeros-and-scatter-part2 -> origin/zeros-and-scatter-part2 2025-12-04T08:27:04.7487209Z * [new branch] zhxchen17/ci/vllm_lora_oom -> origin/zhxchen17/ci/vllm_lora_oom 2025-12-04T08:27:04.7487785Z * [new branch] zhxchen17/ci/vllm_multimodal_oom -> origin/zhxchen17/ci/vllm_multimodal_oom 2025-12-04T08:27:04.7488295Z * [new branch] zhxchen17/ci/vllm_pin -> origin/zhxchen17/ci/vllm_pin 2025-12-04T08:27:04.7489479Z * [new branch] zhxchen17/dynamo/unsafe_drop_all_guards -> origin/zhxchen17/dynamo/unsafe_drop_all_guards 2025-12-04T08:27:04.7490033Z * [new branch] zhxchen17/export/call_override -> origin/zhxchen17/export/call_override 2025-12-04T08:27:04.7490706Z * [new branch] zhxchen17/export/codemod1 -> origin/zhxchen17/export/codemod1 2025-12-04T08:27:04.7491559Z * [new branch] zhxchen17/export/ctx_return -> origin/zhxchen17/export/ctx_return 2025-12-04T08:27:04.7491845Z * [new branch] zhxchen17/export/disable_side_effect_warn -> origin/zhxchen17/export/disable_side_effect_warn 2025-12-04T08:27:04.7492866Z * [new branch] zhxchen17/export/pytree_check -> origin/zhxchen17/export/pytree_check 2025-12-04T08:27:04.7493578Z * [new branch] zhxchen17/precompile/aoti -> origin/zhxchen17/precompile/aoti 2025-12-04T08:27:04.7494335Z * [new branch] zhxchen17/precompile/globals -> origin/zhxchen17/precompile/globals 2025-12-04T08:27:04.7494797Z * [new branch] zhxchen17/precompile/inductor_guards -> origin/zhxchen17/precompile/inductor_guards 2025-12-04T08:27:04.7495833Z * [new branch] zhxchen17/scratch/0 -> origin/zhxchen17/scratch/0 2025-12-04T08:27:04.7496083Z * [new branch] zhxchen17/torch_export_api_update -> origin/zhxchen17/torch_export_api_update 2025-12-04T08:27:04.7498144Z * [new branch] zhxhcen17/moodycamel -> origin/zhxhcen17/moodycamel 2025-12-04T08:27:04.7498331Z * [new branch] zxiiro/build-times -> origin/zxiiro/build-times 2025-12-04T08:27:04.7498876Z * [new branch] zxiiro/c7i.2xlarge -> origin/zxiiro/c7i.2xlarge 2025-12-04T08:27:04.7499530Z * [new branch] zxiiro/c7i.2xlarge.h100 -> origin/zxiiro/c7i.2xlarge.h100 2025-12-04T08:27:04.7500448Z * [new branch] zxiiro/main -> origin/zxiiro/main 2025-12-04T08:27:04.7500685Z * [new branch] zxiiro/risc64 -> origin/zxiiro/risc64 2025-12-04T08:27:04.7501739Z * [new branch] zxiiro/test-multicloud-arc -> origin/zxiiro/test-multicloud-arc 2025-12-04T08:27:04.7502332Z * [new tag] bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug -> bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug 2025-12-04T08:27:04.7502812Z * [new tag] ci/binaries/77164 -> ci/binaries/77164 2025-12-04T08:27:04.7505264Z * [new tag] ciflow/b200/115316 -> ciflow/b200/115316 2025-12-04T08:27:04.7505581Z * [new tag] ciflow/b200/160685 -> ciflow/b200/160685 2025-12-04T08:27:04.7505706Z * [new tag] ciflow/b200/161607 -> ciflow/b200/161607 2025-12-04T08:27:04.7505807Z * [new tag] ciflow/b200/161938 -> ciflow/b200/161938 2025-12-04T08:27:04.7505914Z * [new tag] ciflow/b200/167207 -> ciflow/b200/167207 2025-12-04T08:27:04.7506014Z * [new tag] ciflow/b200/167989 -> ciflow/b200/167989 2025-12-04T08:27:04.7509006Z * [new tag] ciflow/b200/168096 -> ciflow/b200/168096 2025-12-04T08:27:04.7509270Z * [new tag] ciflow/b200/168175 -> ciflow/b200/168175 2025-12-04T08:27:04.7509384Z * [new tag] ciflow/b200/168195 -> ciflow/b200/168195 2025-12-04T08:27:04.7509523Z * [new tag] ciflow/b200/169200 -> ciflow/b200/169200 2025-12-04T08:27:04.7509627Z * [new tag] ciflow/b200/169216 -> ciflow/b200/169216 2025-12-04T08:27:04.7509723Z * [new tag] ciflow/b200/169380 -> ciflow/b200/169380 2025-12-04T08:27:04.7509824Z * [new tag] ciflow/b200/169412 -> ciflow/b200/169412 2025-12-04T08:27:04.7509933Z * [new tag] ciflow/b200/169470 -> ciflow/b200/169470 2025-12-04T08:27:04.7510028Z * [new tag] ciflow/b200/169471 -> ciflow/b200/169471 2025-12-04T08:27:04.7510141Z * [new tag] ciflow/b200/169472 -> ciflow/b200/169472 2025-12-04T08:27:04.7512942Z * [new tag] ciflow/b200/169514 -> ciflow/b200/169514 2025-12-04T08:27:04.7513090Z * [new tag] ciflow/b200/169517 -> ciflow/b200/169517 2025-12-04T08:27:04.7513236Z * [new tag] ciflow/binaries/165922 -> ciflow/binaries/165922 2025-12-04T08:27:04.7513351Z * [new tag] ciflow/binaries/169510 -> ciflow/binaries/169510 2025-12-04T08:27:04.7513495Z * [new tag] ciflow/binaries_wheel/157994 -> ciflow/binaries_wheel/157994 2025-12-04T08:27:04.7513641Z * [new tag] ciflow/binaries_wheel/166829 -> ciflow/binaries_wheel/166829 2025-12-04T08:27:04.7513813Z * [new tag] ciflow/binaries_wheel/167972 -> ciflow/binaries_wheel/167972 2025-12-04T08:27:04.7514311Z * [new tag] ciflow/binaries_wheel/167981 -> ciflow/binaries_wheel/167981 2025-12-04T08:27:04.7514766Z * [new tag] ciflow/dynamo/167695 -> ciflow/dynamo/167695 2025-12-04T08:27:04.7515115Z * [new tag] ciflow/dynamo/168096 -> ciflow/dynamo/168096 2025-12-04T08:27:04.7515914Z * [new tag] ciflow/h100-cutlass-backend/161938 -> ciflow/h100-cutlass-backend/161938 2025-12-04T08:27:04.7517072Z * [new tag] ciflow/h100-cutlass-backend/161940 -> ciflow/h100-cutlass-backend/161940 2025-12-04T08:27:04.7517224Z * [new tag] ciflow/h100-distributed/168923 -> ciflow/h100-distributed/168923 2025-12-04T08:27:04.7517361Z * [new tag] ciflow/h100-symm-mem/167552 -> ciflow/h100-symm-mem/167552 2025-12-04T08:27:04.7517690Z * [new tag] ciflow/h100-symm-mem/168129 -> ciflow/h100-symm-mem/168129 2025-12-04T08:27:04.7518176Z * [new tag] ciflow/h100-symm-mem/168917 -> ciflow/h100-symm-mem/168917 2025-12-04T08:27:04.7519077Z * [new tag] ciflow/h100-symm-mem/169156 -> ciflow/h100-symm-mem/169156 2025-12-04T08:27:04.7519372Z * [new tag] ciflow/h100-symm-mem/169200 -> ciflow/h100-symm-mem/169200 2025-12-04T08:27:04.7519503Z * [new tag] ciflow/h100-symm-mem/169216 -> ciflow/h100-symm-mem/169216 2025-12-04T08:27:04.7520338Z * [new tag] ciflow/h100-symm-mem/169338 -> ciflow/h100-symm-mem/169338 2025-12-04T08:27:04.7520611Z * [new tag] ciflow/h100-symm-mem/169355 -> ciflow/h100-symm-mem/169355 2025-12-04T08:27:04.7520913Z * [new tag] ciflow/h100-symm-mem/169543 -> ciflow/h100-symm-mem/169543 2025-12-04T08:27:04.7521527Z * [new tag] ciflow/h100/115316 -> ciflow/h100/115316 2025-12-04T08:27:04.7521657Z * [new tag] ciflow/h100/160685 -> ciflow/h100/160685 2025-12-04T08:27:04.7522451Z * [new tag] ciflow/h100/160729 -> ciflow/h100/160729 2025-12-04T08:27:04.7522808Z * [new tag] ciflow/h100/161607 -> ciflow/h100/161607 2025-12-04T08:27:04.7523162Z * [new tag] ciflow/h100/161938 -> ciflow/h100/161938 2025-12-04T08:27:04.7523475Z * [new tag] ciflow/h100/167207 -> ciflow/h100/167207 2025-12-04T08:27:04.7523953Z * [new tag] ciflow/h100/167989 -> ciflow/h100/167989 2025-12-04T08:27:04.7524351Z * [new tag] ciflow/h100/168096 -> ciflow/h100/168096 2025-12-04T08:27:04.7524782Z * [new tag] ciflow/h100/168175 -> ciflow/h100/168175 2025-12-04T08:27:04.7525046Z * [new tag] ciflow/h100/168195 -> ciflow/h100/168195 2025-12-04T08:27:04.7525725Z * [new tag] ciflow/h100/168980 -> ciflow/h100/168980 2025-12-04T08:27:04.7525990Z * [new tag] ciflow/h100/169200 -> ciflow/h100/169200 2025-12-04T08:27:04.7526933Z * [new tag] ciflow/h100/169216 -> ciflow/h100/169216 2025-12-04T08:27:04.7527216Z * [new tag] ciflow/h100/169380 -> ciflow/h100/169380 2025-12-04T08:27:04.7527598Z * [new tag] ciflow/h100/169412 -> ciflow/h100/169412 2025-12-04T08:27:04.7527987Z * [new tag] ciflow/h100/169470 -> ciflow/h100/169470 2025-12-04T08:27:04.7528459Z * [new tag] ciflow/h100/169471 -> ciflow/h100/169471 2025-12-04T08:27:04.7528805Z * [new tag] ciflow/h100/169472 -> ciflow/h100/169472 2025-12-04T08:27:04.7529422Z * [new tag] ciflow/h100/169514 -> ciflow/h100/169514 2025-12-04T08:27:04.7529826Z * [new tag] ciflow/inductor-cu126/168096 -> ciflow/inductor-cu126/168096 2025-12-04T08:27:04.7530987Z * [new tag] ciflow/inductor-micro-benchmark-cpu-x86/168096 -> ciflow/inductor-micro-benchmark-cpu-x86/168096 2025-12-04T08:27:04.7531188Z * [new tag] ciflow/inductor-micro-benchmark/166165 -> ciflow/inductor-micro-benchmark/166165 2025-12-04T08:27:04.7531640Z * [new tag] ciflow/inductor-micro-benchmark/168096 -> ciflow/inductor-micro-benchmark/168096 2025-12-04T08:27:04.7532157Z * [new tag] ciflow/inductor-perf-compare/168096 -> ciflow/inductor-perf-compare/168096 2025-12-04T08:27:04.7533149Z * [new tag] ciflow/inductor-perf-test-nightly-rocm-mi300/168073 -> ciflow/inductor-perf-test-nightly-rocm-mi300/168073 2025-12-04T08:27:04.7533419Z * [new tag] ciflow/inductor-perf-test-nightly-rocm-mi300/168096 -> ciflow/inductor-perf-test-nightly-rocm-mi300/168096 2025-12-04T08:27:04.7533752Z * [new tag] ciflow/inductor-perf-test-nightly-rocm-mi300/169024 -> ciflow/inductor-perf-test-nightly-rocm-mi300/169024 2025-12-04T08:27:04.7534292Z * [new tag] ciflow/inductor-perf-test-nightly-rocm-mi355/169024 -> ciflow/inductor-perf-test-nightly-rocm-mi355/169024 2025-12-04T08:27:04.7534776Z * [new tag] ciflow/inductor-perf-test-nightly/168096 -> ciflow/inductor-perf-test-nightly/168096 2025-12-04T08:27:04.7535186Z * [new tag] ciflow/inductor-periodic/168096 -> ciflow/inductor-periodic/168096 2025-12-04T08:27:04.7535639Z * [new tag] ciflow/inductor-periodic/169024 -> ciflow/inductor-periodic/169024 2025-12-04T08:27:04.7536077Z * [new tag] ciflow/inductor-periodic/169425 -> ciflow/inductor-periodic/169425 2025-12-04T08:27:04.7536927Z * [new tag] ciflow/inductor-rocm-mi200/165545 -> ciflow/inductor-rocm-mi200/165545 2025-12-04T08:27:04.7537205Z * [new tag] ciflow/inductor-rocm-mi200/165997 -> ciflow/inductor-rocm-mi200/165997 2025-12-04T08:27:04.7537595Z * [new tag] ciflow/inductor-rocm-mi200/168096 -> ciflow/inductor-rocm-mi200/168096 2025-12-04T08:27:04.7538164Z * [new tag] ciflow/inductor-rocm-mi200/169063 -> ciflow/inductor-rocm-mi200/169063 2025-12-04T08:27:04.7538466Z * [new tag] ciflow/inductor-rocm-mi200/169425 -> ciflow/inductor-rocm-mi200/169425 2025-12-04T08:27:04.7539024Z * [new tag] ciflow/inductor-rocm-mi300/165545 -> ciflow/inductor-rocm-mi300/165545 2025-12-04T08:27:04.7539333Z * [new tag] ciflow/inductor-rocm-mi300/168096 -> ciflow/inductor-rocm-mi300/168096 2025-12-04T08:27:04.7540077Z * [new tag] ciflow/inductor-rocm-mi300/169063 -> ciflow/inductor-rocm-mi300/169063 2025-12-04T08:27:04.7540431Z * [new tag] ciflow/inductor-rocm-mi300/169425 -> ciflow/inductor-rocm-mi300/169425 2025-12-04T08:27:04.7540922Z * [new tag] ciflow/inductor-rocm/162052 -> ciflow/inductor-rocm/162052 2025-12-04T08:27:04.7541255Z * [new tag] ciflow/inductor-rocm/168971 -> ciflow/inductor-rocm/168971 2025-12-04T08:27:04.7542111Z * [new tag] ciflow/inductor-windows/168096 -> ciflow/inductor-windows/168096 2025-12-04T08:27:04.7542351Z * [new tag] ciflow/inductor/144542 -> ciflow/inductor/144542 2025-12-04T08:27:04.7542693Z * [new tag] ciflow/inductor/146506 -> ciflow/inductor/146506 2025-12-04T08:27:04.7542976Z * [new tag] ciflow/inductor/147990 -> ciflow/inductor/147990 2025-12-04T08:27:04.7543839Z * [new tag] ciflow/inductor/148294 -> ciflow/inductor/148294 2025-12-04T08:27:04.7544130Z * [new tag] ciflow/inductor/148492 -> ciflow/inductor/148492 2025-12-04T08:27:04.7544255Z * [new tag] ciflow/inductor/157149 -> ciflow/inductor/157149 2025-12-04T08:27:04.7545030Z * [new tag] ciflow/inductor/157994 -> ciflow/inductor/157994 2025-12-04T08:27:04.7545316Z * [new tag] ciflow/inductor/160174 -> ciflow/inductor/160174 2025-12-04T08:27:04.7545498Z * [new tag] ciflow/inductor/160685 -> ciflow/inductor/160685 2025-12-04T08:27:04.7546012Z * [new tag] ciflow/inductor/160686 -> ciflow/inductor/160686 2025-12-04T08:27:04.7546323Z * [new tag] ciflow/inductor/160687 -> ciflow/inductor/160687 2025-12-04T08:27:04.7547230Z * [new tag] ciflow/inductor/160688 -> ciflow/inductor/160688 2025-12-04T08:27:04.7547461Z * [new tag] ciflow/inductor/160706 -> ciflow/inductor/160706 2025-12-04T08:27:04.7548278Z * [new tag] ciflow/inductor/160729 -> ciflow/inductor/160729 2025-12-04T08:27:04.7548541Z * [new tag] ciflow/inductor/161938 -> ciflow/inductor/161938 2025-12-04T08:27:04.7548928Z * [new tag] ciflow/inductor/161939 -> ciflow/inductor/161939 2025-12-04T08:27:04.7549222Z * [new tag] ciflow/inductor/161940 -> ciflow/inductor/161940 2025-12-04T08:27:04.7549731Z * [new tag] ciflow/inductor/162052 -> ciflow/inductor/162052 2025-12-04T08:27:04.7550696Z * [new tag] ciflow/inductor/162275 -> ciflow/inductor/162275 2025-12-04T08:27:04.7550978Z * [new tag] ciflow/inductor/162795 -> ciflow/inductor/162795 2025-12-04T08:27:04.7551432Z * [new tag] ciflow/inductor/163245 -> ciflow/inductor/163245 2025-12-04T08:27:04.7551841Z * [new tag] ciflow/inductor/163335 -> ciflow/inductor/163335 2025-12-04T08:27:04.7552245Z * [new tag] ciflow/inductor/163503 -> ciflow/inductor/163503 2025-12-04T08:27:04.7552752Z * [new tag] ciflow/inductor/163942 -> ciflow/inductor/163942 2025-12-04T08:27:04.7553264Z * [new tag] ciflow/inductor/165270 -> ciflow/inductor/165270 2025-12-04T08:27:04.7553745Z * [new tag] ciflow/inductor/165274 -> ciflow/inductor/165274 2025-12-04T08:27:04.7554144Z * [new tag] ciflow/inductor/165322 -> ciflow/inductor/165322 2025-12-04T08:27:04.7554676Z * [new tag] ciflow/inductor/165597 -> ciflow/inductor/165597 2025-12-04T08:27:04.7555021Z * [new tag] ciflow/inductor/166063 -> ciflow/inductor/166063 2025-12-04T08:27:04.7555518Z * [new tag] ciflow/inductor/166075 -> ciflow/inductor/166075 2025-12-04T08:27:04.7555834Z * [new tag] ciflow/inductor/166165 -> ciflow/inductor/166165 2025-12-04T08:27:04.7556769Z * [new tag] ciflow/inductor/166254 -> ciflow/inductor/166254 2025-12-04T08:27:04.7557005Z * [new tag] ciflow/inductor/166483 -> ciflow/inductor/166483 2025-12-04T08:27:04.7557353Z * [new tag] ciflow/inductor/166494 -> ciflow/inductor/166494 2025-12-04T08:27:04.7557742Z * [new tag] ciflow/inductor/166545 -> ciflow/inductor/166545 2025-12-04T08:27:04.7558450Z * [new tag] ciflow/inductor/166788 -> ciflow/inductor/166788 2025-12-04T08:27:04.7558708Z * [new tag] ciflow/inductor/166846 -> ciflow/inductor/166846 2025-12-04T08:27:04.7559336Z * [new tag] ciflow/inductor/167300 -> ciflow/inductor/167300 2025-12-04T08:27:04.7559581Z * [new tag] ciflow/inductor/167407 -> ciflow/inductor/167407 2025-12-04T08:27:04.7560305Z * [new tag] ciflow/inductor/167536 -> ciflow/inductor/167536 2025-12-04T08:27:04.7560523Z * [new tag] ciflow/inductor/167552 -> ciflow/inductor/167552 2025-12-04T08:27:04.7560997Z * [new tag] ciflow/inductor/167555 -> ciflow/inductor/167555 2025-12-04T08:27:04.7561428Z * [new tag] ciflow/inductor/167583 -> ciflow/inductor/167583 2025-12-04T08:27:04.7562158Z * [new tag] ciflow/inductor/167599 -> ciflow/inductor/167599 2025-12-04T08:27:04.7562405Z * [new tag] ciflow/inductor/167647 -> ciflow/inductor/167647 2025-12-04T08:27:04.7562819Z * [new tag] ciflow/inductor/167677 -> ciflow/inductor/167677 2025-12-04T08:27:04.7566642Z * [new tag] ciflow/inductor/167680 -> ciflow/inductor/167680 2025-12-04T08:27:04.7566825Z * [new tag] ciflow/inductor/167695 -> ciflow/inductor/167695 2025-12-04T08:27:04.7566969Z * [new tag] ciflow/inductor/167742 -> ciflow/inductor/167742 2025-12-04T08:27:04.7567119Z * [new tag] ciflow/inductor/167768 -> ciflow/inductor/167768 2025-12-04T08:27:04.7567294Z * [new tag] ciflow/inductor/167773 -> ciflow/inductor/167773 2025-12-04T08:27:04.7567440Z * [new tag] ciflow/inductor/167781 -> ciflow/inductor/167781 2025-12-04T08:27:04.7567757Z * [new tag] ciflow/inductor/167880 -> ciflow/inductor/167880 2025-12-04T08:27:04.7567900Z * [new tag] ciflow/inductor/167887 -> ciflow/inductor/167887 2025-12-04T08:27:04.7568057Z * [new tag] ciflow/inductor/167972 -> ciflow/inductor/167972 2025-12-04T08:27:04.7568195Z * [new tag] ciflow/inductor/167989 -> ciflow/inductor/167989 2025-12-04T08:27:04.7568339Z * [new tag] ciflow/inductor/168002 -> ciflow/inductor/168002 2025-12-04T08:27:04.7568647Z * [new tag] ciflow/inductor/168050 -> ciflow/inductor/168050 2025-12-04T08:27:04.7568968Z * [new tag] ciflow/inductor/168051 -> ciflow/inductor/168051 2025-12-04T08:27:04.7569209Z * [new tag] ciflow/inductor/168052 -> ciflow/inductor/168052 2025-12-04T08:27:04.7569661Z * [new tag] ciflow/inductor/168073 -> ciflow/inductor/168073 2025-12-04T08:27:04.7570028Z * [new tag] ciflow/inductor/168096 -> ciflow/inductor/168096 2025-12-04T08:27:04.7570788Z * [new tag] ciflow/inductor/168114 -> ciflow/inductor/168114 2025-12-04T08:27:04.7570923Z * [new tag] ciflow/inductor/168115 -> ciflow/inductor/168115 2025-12-04T08:27:04.7574016Z * [new tag] ciflow/inductor/168127 -> ciflow/inductor/168127 2025-12-04T08:27:04.7574179Z * [new tag] ciflow/inductor/168129 -> ciflow/inductor/168129 2025-12-04T08:27:04.7574296Z * [new tag] ciflow/inductor/168157 -> ciflow/inductor/168157 2025-12-04T08:27:04.7574420Z * [new tag] ciflow/inductor/168175 -> ciflow/inductor/168175 2025-12-04T08:27:04.7574703Z * [new tag] ciflow/inductor/168185 -> ciflow/inductor/168185 2025-12-04T08:27:04.7574816Z * [new tag] ciflow/inductor/168195 -> ciflow/inductor/168195 2025-12-04T08:27:04.7574936Z * [new tag] ciflow/inductor/168209 -> ciflow/inductor/168209 2025-12-04T08:27:04.7575062Z * [new tag] ciflow/inductor/168266 -> ciflow/inductor/168266 2025-12-04T08:27:04.7575182Z * [new tag] ciflow/inductor/168316 -> ciflow/inductor/168316 2025-12-04T08:27:04.7575324Z * [new tag] ciflow/inductor/168326 -> ciflow/inductor/168326 2025-12-04T08:27:04.7575800Z * [new tag] ciflow/inductor/168368 -> ciflow/inductor/168368 2025-12-04T08:27:04.7576381Z * [new tag] ciflow/inductor/168894 -> ciflow/inductor/168894 2025-12-04T08:27:04.7576690Z * [new tag] ciflow/inductor/168934 -> ciflow/inductor/168934 2025-12-04T08:27:04.7579556Z * [new tag] ciflow/inductor/168939 -> ciflow/inductor/168939 2025-12-04T08:27:04.7579712Z * [new tag] ciflow/inductor/168946 -> ciflow/inductor/168946 2025-12-04T08:27:04.7579827Z * [new tag] ciflow/inductor/168950 -> ciflow/inductor/168950 2025-12-04T08:27:04.7579952Z * [new tag] ciflow/inductor/168951 -> ciflow/inductor/168951 2025-12-04T08:27:04.7580061Z * [new tag] ciflow/inductor/168952 -> ciflow/inductor/168952 2025-12-04T08:27:04.7580171Z * [new tag] ciflow/inductor/168955 -> ciflow/inductor/168955 2025-12-04T08:27:04.7580294Z * [new tag] ciflow/inductor/168971 -> ciflow/inductor/168971 2025-12-04T08:27:04.7580436Z * [new tag] ciflow/inductor/168979 -> ciflow/inductor/168979 2025-12-04T08:27:04.7581021Z * [new tag] ciflow/inductor/168980 -> ciflow/inductor/168980 2025-12-04T08:27:04.7581525Z * [new tag] ciflow/inductor/168983 -> ciflow/inductor/168983 2025-12-04T08:27:04.7581818Z * [new tag] ciflow/inductor/169006 -> ciflow/inductor/169006 2025-12-04T08:27:04.7582330Z * [new tag] ciflow/inductor/169023 -> ciflow/inductor/169023 2025-12-04T08:27:04.7582957Z * [new tag] ciflow/inductor/169024 -> ciflow/inductor/169024 2025-12-04T08:27:04.7583106Z * [new tag] ciflow/inductor/169025 -> ciflow/inductor/169025 2025-12-04T08:27:04.7584019Z * [new tag] ciflow/inductor/169066 -> ciflow/inductor/169066 2025-12-04T08:27:04.7584498Z * [new tag] ciflow/inductor/169091 -> ciflow/inductor/169091 2025-12-04T08:27:04.7584620Z * [new tag] ciflow/inductor/169102 -> ciflow/inductor/169102 2025-12-04T08:27:04.7584879Z * [new tag] ciflow/inductor/169103 -> ciflow/inductor/169103 2025-12-04T08:27:04.7585829Z * [new tag] ciflow/inductor/169121 -> ciflow/inductor/169121 2025-12-04T08:27:04.7586043Z * [new tag] ciflow/inductor/169134 -> ciflow/inductor/169134 2025-12-04T08:27:04.7586295Z * [new tag] ciflow/inductor/169135 -> ciflow/inductor/169135 2025-12-04T08:27:04.7588070Z * [new tag] ciflow/inductor/169141 -> ciflow/inductor/169141 2025-12-04T08:27:04.7588218Z * [new tag] ciflow/inductor/169151 -> ciflow/inductor/169151 2025-12-04T08:27:04.7588331Z * [new tag] ciflow/inductor/169161 -> ciflow/inductor/169161 2025-12-04T08:27:04.7588455Z * [new tag] ciflow/inductor/169167 -> ciflow/inductor/169167 2025-12-04T08:27:04.7588598Z * [new tag] ciflow/inductor/169177 -> ciflow/inductor/169177 2025-12-04T08:27:04.7589472Z * [new tag] ciflow/inductor/169185 -> ciflow/inductor/169185 2025-12-04T08:27:04.7589733Z * [new tag] ciflow/inductor/169196 -> ciflow/inductor/169196 2025-12-04T08:27:04.7590019Z * [new tag] ciflow/inductor/169200 -> ciflow/inductor/169200 2025-12-04T08:27:04.7590469Z * [new tag] ciflow/inductor/169204 -> ciflow/inductor/169204 2025-12-04T08:27:04.7590840Z * [new tag] ciflow/inductor/169216 -> ciflow/inductor/169216 2025-12-04T08:27:04.7591635Z * [new tag] ciflow/inductor/169219 -> ciflow/inductor/169219 2025-12-04T08:27:04.7592217Z * [new tag] ciflow/inductor/169220 -> ciflow/inductor/169220 2025-12-04T08:27:04.7592503Z * [new tag] ciflow/inductor/169230 -> ciflow/inductor/169230 2025-12-04T08:27:04.7592637Z * [new tag] ciflow/inductor/169242 -> ciflow/inductor/169242 2025-12-04T08:27:04.7594188Z * [new tag] ciflow/inductor/169245 -> ciflow/inductor/169245 2025-12-04T08:27:04.7594342Z * [new tag] ciflow/inductor/169260 -> ciflow/inductor/169260 2025-12-04T08:27:04.7594481Z * [new tag] ciflow/inductor/169282 -> ciflow/inductor/169282 2025-12-04T08:27:04.7594673Z * [new tag] ciflow/inductor/169286 -> ciflow/inductor/169286 2025-12-04T08:27:04.7594881Z * [new tag] ciflow/inductor/169299 -> ciflow/inductor/169299 2025-12-04T08:27:04.7595658Z * [new tag] ciflow/inductor/169304 -> ciflow/inductor/169304 2025-12-04T08:27:04.7598803Z * [new tag] ciflow/inductor/169305 -> ciflow/inductor/169305 2025-12-04T08:27:04.7598966Z * [new tag] ciflow/inductor/169308 -> ciflow/inductor/169308 2025-12-04T08:27:04.7599086Z * [new tag] ciflow/inductor/169319 -> ciflow/inductor/169319 2025-12-04T08:27:04.7599286Z * [new tag] ciflow/inductor/169326 -> ciflow/inductor/169326 2025-12-04T08:27:04.7599409Z * [new tag] ciflow/inductor/169332 -> ciflow/inductor/169332 2025-12-04T08:27:04.7599525Z * [new tag] ciflow/inductor/169333 -> ciflow/inductor/169333 2025-12-04T08:27:04.7599648Z * [new tag] ciflow/inductor/169336 -> ciflow/inductor/169336 2025-12-04T08:27:04.7599812Z * [new tag] ciflow/inductor/169340 -> ciflow/inductor/169340 2025-12-04T08:27:04.7599937Z * [new tag] ciflow/inductor/169341 -> ciflow/inductor/169341 2025-12-04T08:27:04.7600346Z * [new tag] ciflow/inductor/169343 -> ciflow/inductor/169343 2025-12-04T08:27:04.7601126Z * [new tag] ciflow/inductor/169346 -> ciflow/inductor/169346 2025-12-04T08:27:04.7601483Z * [new tag] ciflow/inductor/169348 -> ciflow/inductor/169348 2025-12-04T08:27:04.7602009Z * [new tag] ciflow/inductor/169350 -> ciflow/inductor/169350 2025-12-04T08:27:04.7602308Z * [new tag] ciflow/inductor/169355 -> ciflow/inductor/169355 2025-12-04T08:27:04.7603263Z * [new tag] ciflow/inductor/169370 -> ciflow/inductor/169370 2025-12-04T08:27:04.7603516Z * [new tag] ciflow/inductor/169375 -> ciflow/inductor/169375 2025-12-04T08:27:04.7603895Z * [new tag] ciflow/inductor/169389 -> ciflow/inductor/169389 2025-12-04T08:27:04.7604305Z * [new tag] ciflow/inductor/169391 -> ciflow/inductor/169391 2025-12-04T08:27:04.7604718Z * [new tag] ciflow/inductor/169393 -> ciflow/inductor/169393 2025-12-04T08:27:04.7607296Z * [new tag] ciflow/inductor/169399 -> ciflow/inductor/169399 2025-12-04T08:27:04.7607458Z * [new tag] ciflow/inductor/169400 -> ciflow/inductor/169400 2025-12-04T08:27:04.7607580Z * [new tag] ciflow/inductor/169415 -> ciflow/inductor/169415 2025-12-04T08:27:04.7607702Z * [new tag] ciflow/inductor/169417 -> ciflow/inductor/169417 2025-12-04T08:27:04.7607966Z * [new tag] ciflow/inductor/169418 -> ciflow/inductor/169418 2025-12-04T08:27:04.7608089Z * [new tag] ciflow/inductor/169430 -> ciflow/inductor/169430 2025-12-04T08:27:04.7608312Z * [new tag] ciflow/inductor/169432 -> ciflow/inductor/169432 2025-12-04T08:27:04.7608753Z * [new tag] ciflow/inductor/169436 -> ciflow/inductor/169436 2025-12-04T08:27:04.7609173Z * [new tag] ciflow/inductor/169437 -> ciflow/inductor/169437 2025-12-04T08:27:04.7610166Z * [new tag] ciflow/inductor/169438 -> ciflow/inductor/169438 2025-12-04T08:27:04.7610311Z * [new tag] ciflow/inductor/169441 -> ciflow/inductor/169441 2025-12-04T08:27:04.7612653Z * [new tag] ciflow/inductor/169446 -> ciflow/inductor/169446 2025-12-04T08:27:04.7612799Z * [new tag] ciflow/inductor/169447 -> ciflow/inductor/169447 2025-12-04T08:27:04.7612938Z * [new tag] ciflow/inductor/169452 -> ciflow/inductor/169452 2025-12-04T08:27:04.7613055Z * [new tag] ciflow/inductor/169455 -> ciflow/inductor/169455 2025-12-04T08:27:04.7613172Z * [new tag] ciflow/inductor/169459 -> ciflow/inductor/169459 2025-12-04T08:27:04.7613620Z * [new tag] ciflow/inductor/169463 -> ciflow/inductor/169463 2025-12-04T08:27:04.7613872Z * [new tag] ciflow/inductor/169476 -> ciflow/inductor/169476 2025-12-04T08:27:04.7614753Z * [new tag] ciflow/inductor/169485 -> ciflow/inductor/169485 2025-12-04T08:27:04.7615115Z * [new tag] ciflow/inductor/169493 -> ciflow/inductor/169493 2025-12-04T08:27:04.7615259Z * [new tag] ciflow/inductor/169496 -> ciflow/inductor/169496 2025-12-04T08:27:04.7615836Z * [new tag] ciflow/inductor/169497 -> ciflow/inductor/169497 2025-12-04T08:27:04.7616603Z * [new tag] ciflow/inductor/169503 -> ciflow/inductor/169503 2025-12-04T08:27:04.7616875Z * [new tag] ciflow/inductor/169504 -> ciflow/inductor/169504 2025-12-04T08:27:04.7617721Z * [new tag] ciflow/inductor/169505 -> ciflow/inductor/169505 2025-12-04T08:27:04.7618272Z * [new tag] ciflow/inductor/169508 -> ciflow/inductor/169508 2025-12-04T08:27:04.7618564Z * [new tag] ciflow/inductor/169509 -> ciflow/inductor/169509 2025-12-04T08:27:04.7619397Z * [new tag] ciflow/inductor/169513 -> ciflow/inductor/169513 2025-12-04T08:27:04.7619682Z * [new tag] ciflow/inductor/169514 -> ciflow/inductor/169514 2025-12-04T08:27:04.7620192Z * [new tag] ciflow/inductor/169515 -> ciflow/inductor/169515 2025-12-04T08:27:04.7620365Z * [new tag] ciflow/inductor/169517 -> ciflow/inductor/169517 2025-12-04T08:27:04.7621252Z * [new tag] ciflow/inductor/169519 -> ciflow/inductor/169519 2025-12-04T08:27:04.7621524Z * [new tag] ciflow/inductor/169520 -> ciflow/inductor/169520 2025-12-04T08:27:04.7621647Z * [new tag] ciflow/inductor/169521 -> ciflow/inductor/169521 2025-12-04T08:27:04.7622611Z * [new tag] ciflow/inductor/169524 -> ciflow/inductor/169524 2025-12-04T08:27:04.7622732Z * [new tag] ciflow/inductor/169527 -> ciflow/inductor/169527 2025-12-04T08:27:04.7622961Z * [new tag] ciflow/inductor/169528 -> ciflow/inductor/169528 2025-12-04T08:27:04.7624921Z * [new tag] ciflow/inductor/169532 -> ciflow/inductor/169532 2025-12-04T08:27:04.7625074Z * [new tag] ciflow/inductor/169535 -> ciflow/inductor/169535 2025-12-04T08:27:04.7625213Z * [new tag] ciflow/inductor/169536 -> ciflow/inductor/169536 2025-12-04T08:27:04.7625348Z * [new tag] ciflow/inductor/169547 -> ciflow/inductor/169547 2025-12-04T08:27:04.7625712Z * [new tag] ciflow/inductor/169548 -> ciflow/inductor/169548 2025-12-04T08:27:04.7625866Z * [new tag] ciflow/inductor/169549 -> ciflow/inductor/169549 2025-12-04T08:27:04.7626324Z * [new tag] ciflow/inductor/169551 -> ciflow/inductor/169551 2025-12-04T08:27:04.7626585Z * [new tag] ciflow/inductor/169552 -> ciflow/inductor/169552 2025-12-04T08:27:04.7627029Z * [new tag] ciflow/inductor/169553 -> ciflow/inductor/169553 2025-12-04T08:27:04.7627928Z * [new tag] ciflow/inductor/3b9a386 -> ciflow/inductor/3b9a386 2025-12-04T08:27:04.7628064Z * [new tag] ciflow/inductor/3d4b92b -> ciflow/inductor/3d4b92b 2025-12-04T08:27:04.7629774Z * [new tag] ciflow/inductor/d224ac7 -> ciflow/inductor/d224ac7 2025-12-04T08:27:04.7629940Z * [new tag] ciflow/linux-aarch64/157994 -> ciflow/linux-aarch64/157994 2025-12-04T08:27:04.7630092Z * [new tag] ciflow/linux-aarch64/166075 -> ciflow/linux-aarch64/166075 2025-12-04T08:27:04.7630353Z * [new tag] ciflow/linux-aarch64/166876 -> ciflow/linux-aarch64/166876 2025-12-04T08:27:04.7631707Z * [new tag] ciflow/linux-aarch64/167981 -> ciflow/linux-aarch64/167981 2025-12-04T08:27:04.7631955Z * [new tag] ciflow/mps/166254 -> ciflow/mps/166254 2025-12-04T08:27:04.7632090Z * [new tag] ciflow/mps/169017 -> ciflow/mps/169017 2025-12-04T08:27:04.7632201Z * [new tag] ciflow/mps/169372 -> ciflow/mps/169372 2025-12-04T08:27:04.7633635Z * [new tag] ciflow/mps/169478 -> ciflow/mps/169478 2025-12-04T08:27:04.7633956Z * [new tag] ciflow/op-benchmark/157994 -> ciflow/op-benchmark/157994 2025-12-04T08:27:04.7634174Z * [new tag] ciflow/op-benchmark/166075 -> ciflow/op-benchmark/166075 2025-12-04T08:27:04.7634327Z * [new tag] ciflow/op-benchmark/169544 -> ciflow/op-benchmark/169544 2025-12-04T08:27:04.7634717Z * [new tag] ciflow/periodic-rocm-mi200/165997 -> ciflow/periodic-rocm-mi200/165997 2025-12-04T08:27:04.7638748Z * [new tag] ciflow/periodic-rocm-mi200/166517 -> ciflow/periodic-rocm-mi200/166517 2025-12-04T08:27:04.7638935Z * [new tag] ciflow/periodic-rocm-mi200/169063 -> ciflow/periodic-rocm-mi200/169063 2025-12-04T08:27:04.7639098Z * [new tag] ciflow/periodic-rocm-mi200/169425 -> ciflow/periodic-rocm-mi200/169425 2025-12-04T08:27:04.7639252Z * [new tag] ciflow/periodic-rocm-mi300/166517 -> ciflow/periodic-rocm-mi300/166517 2025-12-04T08:27:04.7639396Z * [new tag] ciflow/periodic-rocm-mi300/169063 -> ciflow/periodic-rocm-mi300/169063 2025-12-04T08:27:04.7639548Z * [new tag] ciflow/periodic-rocm-mi300/169425 -> ciflow/periodic-rocm-mi300/169425 2025-12-04T08:27:04.7639693Z * [new tag] ciflow/periodic/054a2fd -> ciflow/periodic/054a2fd 2025-12-04T08:27:04.7639811Z * [new tag] ciflow/periodic/167207 -> ciflow/periodic/167207 2025-12-04T08:27:04.7639929Z * [new tag] ciflow/periodic/167978 -> ciflow/periodic/167978 2025-12-04T08:27:04.7640044Z * [new tag] ciflow/periodic/168096 -> ciflow/periodic/168096 2025-12-04T08:27:04.7640154Z * [new tag] ciflow/periodic/169286 -> ciflow/periodic/169286 2025-12-04T08:27:04.7640716Z * [new tag] ciflow/periodic/2a6d37d -> ciflow/periodic/2a6d37d 2025-12-04T08:27:04.7640870Z * [new tag] ciflow/periodic/317eeb8 -> ciflow/periodic/317eeb8 2025-12-04T08:27:04.7641440Z * [new tag] ciflow/periodic/3c32 -> ciflow/periodic/3c32 2025-12-04T08:27:04.7641849Z * [new tag] ciflow/periodic/3e98831 -> ciflow/periodic/3e98831 2025-12-04T08:27:04.7646443Z * [new tag] ciflow/periodic/7c648509a7470ace9fb2bae960dd4790f7e943e9 -> ciflow/periodic/7c648509a7470ace9fb2bae960dd4790f7e943e9 2025-12-04T08:27:04.7646788Z * [new tag] ciflow/periodic/94512-point -> ciflow/periodic/94512-point 2025-12-04T08:27:04.7647035Z * [new tag] ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519 2025-12-04T08:27:04.7647625Z * [new tag] ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275 2025-12-04T08:27:04.7647902Z * [new tag] ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761 2025-12-04T08:27:04.7648158Z * [new tag] ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12 2025-12-04T08:27:04.7648391Z * [new tag] ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0 2025-12-04T08:27:04.7649030Z * [new tag] ciflow/periodic/sha-ec5b83 -> ciflow/periodic/sha-ec5b83 2025-12-04T08:27:04.7653355Z * [new tag] ciflow/pull/167207 -> ciflow/pull/167207 2025-12-04T08:27:04.7657465Z * [new tag] ciflow/quantization-periodic/169207 -> ciflow/quantization-periodic/169207 2025-12-04T08:27:04.7661445Z * [new tag] ciflow/rocm-mi200/165545 -> ciflow/rocm-mi200/165545 2025-12-04T08:27:04.7666017Z * [new tag] ciflow/rocm-mi200/165997 -> ciflow/rocm-mi200/165997 2025-12-04T08:27:04.7668056Z * [new tag] ciflow/rocm-mi200/168096 -> ciflow/rocm-mi200/168096 2025-12-04T08:27:04.7672298Z * [new tag] ciflow/rocm-mi200/168275 -> ciflow/rocm-mi200/168275 2025-12-04T08:27:04.7676188Z * [new tag] ciflow/rocm-mi200/169063 -> ciflow/rocm-mi200/169063 2025-12-04T08:27:04.7677807Z * [new tag] ciflow/rocm-mi200/169356 -> ciflow/rocm-mi200/169356 2025-12-04T08:27:04.7677966Z * [new tag] ciflow/rocm-mi200/169425 -> ciflow/rocm-mi200/169425 2025-12-04T08:27:04.7678095Z * [new tag] ciflow/rocm-mi300/165545 -> ciflow/rocm-mi300/165545 2025-12-04T08:27:04.7678207Z * [new tag] ciflow/rocm-mi300/167157 -> ciflow/rocm-mi300/167157 2025-12-04T08:27:04.7678329Z * [new tag] ciflow/rocm-mi300/168096 -> ciflow/rocm-mi300/168096 2025-12-04T08:27:04.7678598Z * [new tag] ciflow/rocm-mi300/169063 -> ciflow/rocm-mi300/169063 2025-12-04T08:27:04.7678719Z * [new tag] ciflow/rocm-mi300/169425 -> ciflow/rocm-mi300/169425 2025-12-04T08:27:04.7678831Z * [new tag] ciflow/rocm-mi355/167157 -> ciflow/rocm-mi355/167157 2025-12-04T08:27:04.7678945Z * [new tag] ciflow/rocm-mi355/168275 -> ciflow/rocm-mi355/168275 2025-12-04T08:27:04.7679067Z * [new tag] ciflow/rocm-mi355/169425 -> ciflow/rocm-mi355/169425 2025-12-04T08:27:04.7679193Z * [new tag] ciflow/rocm-navi31/168275 -> ciflow/rocm-navi31/168275 2025-12-04T08:27:04.7679314Z * [new tag] ciflow/rocm-navi31/169425 -> ciflow/rocm-navi31/169425 2025-12-04T08:27:04.7679433Z * [new tag] ciflow/rocm/115316 -> ciflow/rocm/115316 2025-12-04T08:27:04.7679538Z * [new tag] ciflow/rocm/148492 -> ciflow/rocm/148492 2025-12-04T08:27:04.7679648Z * [new tag] ciflow/rocm/160685 -> ciflow/rocm/160685 2025-12-04T08:27:04.7679749Z * [new tag] ciflow/rocm/161607 -> ciflow/rocm/161607 2025-12-04T08:27:04.7679850Z * [new tag] ciflow/rocm/162052 -> ciflow/rocm/162052 2025-12-04T08:27:04.7679956Z * [new tag] ciflow/rocm/165997 -> ciflow/rocm/165997 2025-12-04T08:27:04.7680055Z * [new tag] ciflow/rocm/166165 -> ciflow/rocm/166165 2025-12-04T08:27:04.7680186Z * [new tag] ciflow/rocm/166517 -> ciflow/rocm/166517 2025-12-04T08:27:04.7680285Z * [new tag] ciflow/rocm/167207 -> ciflow/rocm/167207 2025-12-04T08:27:04.7680417Z * [new tag] ciflow/rocm/167536 -> ciflow/rocm/167536 2025-12-04T08:27:04.7680528Z * [new tag] ciflow/rocm/167781 -> ciflow/rocm/167781 2025-12-04T08:27:04.7680633Z * [new tag] ciflow/rocm/167989 -> ciflow/rocm/167989 2025-12-04T08:27:04.7680744Z * [new tag] ciflow/rocm/168073 -> ciflow/rocm/168073 2025-12-04T08:27:04.7680846Z * [new tag] ciflow/rocm/168195 -> ciflow/rocm/168195 2025-12-04T08:27:04.7680947Z * [new tag] ciflow/rocm/168939 -> ciflow/rocm/168939 2025-12-04T08:27:04.7681055Z * [new tag] ciflow/rocm/168971 -> ciflow/rocm/168971 2025-12-04T08:27:04.7681154Z * [new tag] ciflow/rocm/169024 -> ciflow/rocm/169024 2025-12-04T08:27:04.7681261Z * [new tag] ciflow/rocm/169200 -> ciflow/rocm/169200 2025-12-04T08:27:04.7681362Z * [new tag] ciflow/rocm/169216 -> ciflow/rocm/169216 2025-12-04T08:27:04.7681461Z * [new tag] ciflow/rocm/169312 -> ciflow/rocm/169312 2025-12-04T08:27:04.7681570Z * [new tag] ciflow/rocm/169380 -> ciflow/rocm/169380 2025-12-04T08:27:04.7681672Z * [new tag] ciflow/rocm/169427 -> ciflow/rocm/169427 2025-12-04T08:27:04.7681772Z * [new tag] ciflow/rocm/169455 -> ciflow/rocm/169455 2025-12-04T08:27:04.7681880Z * [new tag] ciflow/rocm/169470 -> ciflow/rocm/169470 2025-12-04T08:27:04.7682075Z * [new tag] ciflow/rocm/169471 -> ciflow/rocm/169471 2025-12-04T08:27:04.7682188Z * [new tag] ciflow/rocm/169472 -> ciflow/rocm/169472 2025-12-04T08:27:04.7682293Z * [new tag] ciflow/rocm/169514 -> ciflow/rocm/169514 2025-12-04T08:27:04.7682411Z * [new tag] ciflow/slow/01c7106 -> ciflow/slow/01c7106 2025-12-04T08:27:04.7682524Z * [new tag] ciflow/slow/0577043 -> ciflow/slow/0577043 2025-12-04T08:27:04.7682832Z * [new tag] ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym 2025-12-04T08:27:04.7682978Z * [new tag] ciflow/slow/0e81104 -> ciflow/slow/0e81104 2025-12-04T08:27:04.7683084Z * [new tag] ciflow/slow/167207 -> ciflow/slow/167207 2025-12-04T08:27:04.7683186Z * [new tag] ciflow/slow/168050 -> ciflow/slow/168050 2025-12-04T08:27:04.7683308Z * [new tag] ciflow/slow/1732077 -> ciflow/slow/1732077 2025-12-04T08:27:04.7683411Z * [new tag] ciflow/slow/187eb7c -> ciflow/slow/187eb7c 2025-12-04T08:27:04.7683511Z * [new tag] ciflow/slow/1faef89 -> ciflow/slow/1faef89 2025-12-04T08:27:04.7683623Z * [new tag] ciflow/slow/3920ec1 -> ciflow/slow/3920ec1 2025-12-04T08:27:04.7683725Z * [new tag] ciflow/slow/3b7c6b2 -> ciflow/slow/3b7c6b2 2025-12-04T08:27:04.7683830Z * [new tag] ciflow/slow/59a3759 -> ciflow/slow/59a3759 2025-12-04T08:27:04.7683932Z * [new tag] ciflow/slow/70ef0bb -> ciflow/slow/70ef0bb 2025-12-04T08:27:04.7684035Z * [new tag] ciflow/slow/788ff06 -> ciflow/slow/788ff06 2025-12-04T08:27:04.7684306Z * [new tag] ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym 2025-12-04T08:27:04.7684407Z * [new tag] ciflow/slow/9d85864 -> ciflow/slow/9d85864 2025-12-04T08:27:04.7684514Z * [new tag] ciflow/slow/9ffad5b -> ciflow/slow/9ffad5b 2025-12-04T08:27:04.7684615Z * [new tag] ciflow/slow/a206e8b -> ciflow/slow/a206e8b 2025-12-04T08:27:04.7684739Z * [new tag] ciflow/slow/a837609 -> ciflow/slow/a837609 2025-12-04T08:27:04.7684848Z * [new tag] ciflow/slow/af841f3 -> ciflow/slow/af841f3 2025-12-04T08:27:04.7685121Z * [new tag] ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym 2025-12-04T08:27:04.7685258Z * [new tag] ciflow/torchbench/168175 -> ciflow/torchbench/168175 2025-12-04T08:27:04.7685359Z * [new tag] ciflow/trunk/148492 -> ciflow/trunk/148492 2025-12-04T08:27:04.7685458Z * [new tag] ciflow/trunk/157149 -> ciflow/trunk/157149 2025-12-04T08:27:04.7685565Z * [new tag] ciflow/trunk/157994 -> ciflow/trunk/157994 2025-12-04T08:27:04.7685665Z * [new tag] ciflow/trunk/159718 -> ciflow/trunk/159718 2025-12-04T08:27:04.7685772Z * [new tag] ciflow/trunk/160174 -> ciflow/trunk/160174 2025-12-04T08:27:04.7685873Z * [new tag] ciflow/trunk/160685 -> ciflow/trunk/160685 2025-12-04T08:27:04.7685974Z * [new tag] ciflow/trunk/160729 -> ciflow/trunk/160729 2025-12-04T08:27:04.7686083Z * [new tag] ciflow/trunk/162275 -> ciflow/trunk/162275 2025-12-04T08:27:04.7686181Z * [new tag] ciflow/trunk/162795 -> ciflow/trunk/162795 2025-12-04T08:27:04.7686280Z * [new tag] ciflow/trunk/163245 -> ciflow/trunk/163245 2025-12-04T08:27:04.7686386Z * [new tag] ciflow/trunk/163942 -> ciflow/trunk/163942 2025-12-04T08:27:04.7686488Z * [new tag] ciflow/trunk/165274 -> ciflow/trunk/165274 2025-12-04T08:27:04.7686699Z * [new tag] ciflow/trunk/165483 -> ciflow/trunk/165483 2025-12-04T08:27:04.7686803Z * [new tag] ciflow/trunk/165728 -> ciflow/trunk/165728 2025-12-04T08:27:04.7687169Z * [new tag] ciflow/trunk/165922 -> ciflow/trunk/165922 2025-12-04T08:27:04.7687560Z * [new tag] ciflow/trunk/166075 -> ciflow/trunk/166075 2025-12-04T08:27:04.7688719Z * [new tag] ciflow/trunk/166165 -> ciflow/trunk/166165 2025-12-04T08:27:04.7689011Z * [new tag] ciflow/trunk/166829 -> ciflow/trunk/166829 2025-12-04T08:27:04.7689121Z * [new tag] ciflow/trunk/166843 -> ciflow/trunk/166843 2025-12-04T08:27:04.7690683Z * [new tag] ciflow/trunk/166876 -> ciflow/trunk/166876 2025-12-04T08:27:04.7690994Z * [new tag] ciflow/trunk/167207 -> ciflow/trunk/167207 2025-12-04T08:27:04.7691123Z * [new tag] ciflow/trunk/167536 -> ciflow/trunk/167536 2025-12-04T08:27:04.7691316Z * [new tag] ciflow/trunk/167552 -> ciflow/trunk/167552 2025-12-04T08:27:04.7691539Z * [new tag] ciflow/trunk/167555 -> ciflow/trunk/167555 2025-12-04T08:27:04.7691850Z * [new tag] ciflow/trunk/167599 -> ciflow/trunk/167599 2025-12-04T08:27:04.7692246Z * [new tag] ciflow/trunk/167659 -> ciflow/trunk/167659 2025-12-04T08:27:04.7693485Z * [new tag] ciflow/trunk/167672 -> ciflow/trunk/167672 2025-12-04T08:27:04.7693800Z * [new tag] ciflow/trunk/167742 -> ciflow/trunk/167742 2025-12-04T08:27:04.7693964Z * [new tag] ciflow/trunk/167781 -> ciflow/trunk/167781 2025-12-04T08:27:04.7694092Z * [new tag] ciflow/trunk/167837 -> ciflow/trunk/167837 2025-12-04T08:27:04.7695714Z * [new tag] ciflow/trunk/167887 -> ciflow/trunk/167887 2025-12-04T08:27:04.7696008Z * [new tag] ciflow/trunk/167978 -> ciflow/trunk/167978 2025-12-04T08:27:04.7696146Z * [new tag] ciflow/trunk/168050 -> ciflow/trunk/168050 2025-12-04T08:27:04.7696463Z * [new tag] ciflow/trunk/168051 -> ciflow/trunk/168051 2025-12-04T08:27:04.7696688Z * [new tag] ciflow/trunk/168096 -> ciflow/trunk/168096 2025-12-04T08:27:04.7696818Z * [new tag] ciflow/trunk/168127 -> ciflow/trunk/168127 2025-12-04T08:27:04.7697144Z * [new tag] ciflow/trunk/168157 -> ciflow/trunk/168157 2025-12-04T08:27:04.7697656Z * [new tag] ciflow/trunk/168175 -> ciflow/trunk/168175 2025-12-04T08:27:04.7698196Z * [new tag] ciflow/trunk/168209 -> ciflow/trunk/168209 2025-12-04T08:27:04.7700972Z * [new tag] ciflow/trunk/168213 -> ciflow/trunk/168213 2025-12-04T08:27:04.7701277Z * [new tag] ciflow/trunk/168226 -> ciflow/trunk/168226 2025-12-04T08:27:04.7701444Z * [new tag] ciflow/trunk/168262 -> ciflow/trunk/168262 2025-12-04T08:27:04.7701576Z * [new tag] ciflow/trunk/168275 -> ciflow/trunk/168275 2025-12-04T08:27:04.7701687Z * [new tag] ciflow/trunk/168328 -> ciflow/trunk/168328 2025-12-04T08:27:04.7701915Z * [new tag] ciflow/trunk/168368 -> ciflow/trunk/168368 2025-12-04T08:27:04.7702032Z * [new tag] ciflow/trunk/168917 -> ciflow/trunk/168917 2025-12-04T08:27:04.7702215Z * [new tag] ciflow/trunk/168933 -> ciflow/trunk/168933 2025-12-04T08:27:04.7702828Z * [new tag] ciflow/trunk/168941 -> ciflow/trunk/168941 2025-12-04T08:27:04.7703116Z * [new tag] ciflow/trunk/168955 -> ciflow/trunk/168955 2025-12-04T08:27:04.7703239Z * [new tag] ciflow/trunk/168980 -> ciflow/trunk/168980 2025-12-04T08:27:04.7704401Z * [new tag] ciflow/trunk/169004 -> ciflow/trunk/169004 2025-12-04T08:27:04.7704691Z * [new tag] ciflow/trunk/169006 -> ciflow/trunk/169006 2025-12-04T08:27:04.7704830Z * [new tag] ciflow/trunk/169023 -> ciflow/trunk/169023 2025-12-04T08:27:04.7705043Z * [new tag] ciflow/trunk/169025 -> ciflow/trunk/169025 2025-12-04T08:27:04.7705478Z * [new tag] ciflow/trunk/169066 -> ciflow/trunk/169066 2025-12-04T08:27:04.7707178Z * [new tag] ciflow/trunk/169091 -> ciflow/trunk/169091 2025-12-04T08:27:04.7707465Z * [new tag] ciflow/trunk/169102 -> ciflow/trunk/169102 2025-12-04T08:27:04.7707598Z * [new tag] ciflow/trunk/169103 -> ciflow/trunk/169103 2025-12-04T08:27:04.7707791Z * [new tag] ciflow/trunk/169125 -> ciflow/trunk/169125 2025-12-04T08:27:04.7707917Z * [new tag] ciflow/trunk/169139 -> ciflow/trunk/169139 2025-12-04T08:27:04.7708279Z * [new tag] ciflow/trunk/169148 -> ciflow/trunk/169148 2025-12-04T08:27:04.7709182Z * [new tag] ciflow/trunk/169151 -> ciflow/trunk/169151 2025-12-04T08:27:04.7709326Z * [new tag] ciflow/trunk/169156 -> ciflow/trunk/169156 2025-12-04T08:27:04.7709681Z * [new tag] ciflow/trunk/169176 -> ciflow/trunk/169176 2025-12-04T08:27:04.7710800Z * [new tag] ciflow/trunk/169204 -> ciflow/trunk/169204 2025-12-04T08:27:04.7711110Z * [new tag] ciflow/trunk/169207 -> ciflow/trunk/169207 2025-12-04T08:27:04.7711239Z * [new tag] ciflow/trunk/169211 -> ciflow/trunk/169211 2025-12-04T08:27:04.7711475Z * [new tag] ciflow/trunk/169229 -> ciflow/trunk/169229 2025-12-04T08:27:04.7713098Z * [new tag] ciflow/trunk/169231 -> ciflow/trunk/169231 2025-12-04T08:27:04.7713377Z * [new tag] ciflow/trunk/169260 -> ciflow/trunk/169260 2025-12-04T08:27:04.7713513Z * [new tag] ciflow/trunk/169271 -> ciflow/trunk/169271 2025-12-04T08:27:04.7713841Z * [new tag] ciflow/trunk/169280 -> ciflow/trunk/169280 2025-12-04T08:27:04.7714092Z * [new tag] ciflow/trunk/169281 -> ciflow/trunk/169281 2025-12-04T08:27:04.7714552Z * [new tag] ciflow/trunk/169286 -> ciflow/trunk/169286 2025-12-04T08:27:04.7717458Z * [new tag] ciflow/trunk/169293 -> ciflow/trunk/169293 2025-12-04T08:27:04.7717769Z * [new tag] ciflow/trunk/169296 -> ciflow/trunk/169296 2025-12-04T08:27:04.7717906Z * [new tag] ciflow/trunk/169304 -> ciflow/trunk/169304 2025-12-04T08:27:04.7718009Z * [new tag] ciflow/trunk/169305 -> ciflow/trunk/169305 2025-12-04T08:27:04.7718120Z * [new tag] ciflow/trunk/169312 -> ciflow/trunk/169312 2025-12-04T08:27:04.7718350Z * [new tag] ciflow/trunk/169328 -> ciflow/trunk/169328 2025-12-04T08:27:04.7719036Z * [new tag] ciflow/trunk/169343 -> ciflow/trunk/169343 2025-12-04T08:27:04.7719179Z * [new tag] ciflow/trunk/169355 -> ciflow/trunk/169355 2025-12-04T08:27:04.7719385Z * [new tag] ciflow/trunk/169370 -> ciflow/trunk/169370 2025-12-04T08:27:04.7719630Z * [new tag] ciflow/trunk/169379 -> ciflow/trunk/169379 2025-12-04T08:27:04.7720326Z * [new tag] ciflow/trunk/169380 -> ciflow/trunk/169380 2025-12-04T08:27:04.7720657Z * [new tag] ciflow/trunk/169385 -> ciflow/trunk/169385 2025-12-04T08:27:04.7721046Z * [new tag] ciflow/trunk/169387 -> ciflow/trunk/169387 2025-12-04T08:27:04.7721645Z * [new tag] ciflow/trunk/169410 -> ciflow/trunk/169410 2025-12-04T08:27:04.7722012Z * [new tag] ciflow/trunk/169412 -> ciflow/trunk/169412 2025-12-04T08:27:04.7722417Z * [new tag] ciflow/trunk/169418 -> ciflow/trunk/169418 2025-12-04T08:27:04.7722818Z * [new tag] ciflow/trunk/169423 -> ciflow/trunk/169423 2025-12-04T08:27:04.7725125Z * [new tag] ciflow/trunk/169427 -> ciflow/trunk/169427 2025-12-04T08:27:04.7725471Z * [new tag] ciflow/trunk/169430 -> ciflow/trunk/169430 2025-12-04T08:27:04.7725594Z * [new tag] ciflow/trunk/169437 -> ciflow/trunk/169437 2025-12-04T08:27:04.7725705Z * [new tag] ciflow/trunk/169442 -> ciflow/trunk/169442 2025-12-04T08:27:04.7725812Z * [new tag] ciflow/trunk/169452 -> ciflow/trunk/169452 2025-12-04T08:27:04.7726112Z * [new tag] ciflow/trunk/169454 -> ciflow/trunk/169454 2025-12-04T08:27:04.7726244Z * [new tag] ciflow/trunk/169459 -> ciflow/trunk/169459 2025-12-04T08:27:04.7726558Z * [new tag] ciflow/trunk/169474 -> ciflow/trunk/169474 2025-12-04T08:27:04.7727211Z * [new tag] ciflow/trunk/169475 -> ciflow/trunk/169475 2025-12-04T08:27:04.7727361Z * [new tag] ciflow/trunk/169476 -> ciflow/trunk/169476 2025-12-04T08:27:04.7730108Z * [new tag] ciflow/trunk/169487 -> ciflow/trunk/169487 2025-12-04T08:27:04.7730270Z * [new tag] ciflow/trunk/169497 -> ciflow/trunk/169497 2025-12-04T08:27:04.7730385Z * [new tag] ciflow/trunk/169503 -> ciflow/trunk/169503 2025-12-04T08:27:04.7730499Z * [new tag] ciflow/trunk/169505 -> ciflow/trunk/169505 2025-12-04T08:27:04.7730607Z * [new tag] ciflow/trunk/169507 -> ciflow/trunk/169507 2025-12-04T08:27:04.7730719Z * [new tag] ciflow/trunk/169514 -> ciflow/trunk/169514 2025-12-04T08:27:04.7730909Z * [new tag] ciflow/trunk/169517 -> ciflow/trunk/169517 2025-12-04T08:27:04.7731404Z * [new tag] ciflow/trunk/169519 -> ciflow/trunk/169519 2025-12-04T08:27:04.7731659Z * [new tag] ciflow/trunk/169528 -> ciflow/trunk/169528 2025-12-04T08:27:04.7732461Z * [new tag] ciflow/trunk/169541 -> ciflow/trunk/169541 2025-12-04T08:27:04.7733162Z * [new tag] ciflow/unstable/123 -> ciflow/unstable/123 2025-12-04T08:27:04.7733740Z * [new tag] ciflow/vllm/165270 -> ciflow/vllm/165270 2025-12-04T08:27:04.7733876Z * [new tag] ciflow/vllm/165274 -> ciflow/vllm/165274 2025-12-04T08:27:04.7734272Z * [new tag] ciflow/vllm/166494 -> ciflow/vllm/166494 2025-12-04T08:27:04.7734688Z * [new tag] ciflow/vllm/169219 -> ciflow/vllm/169219 2025-12-04T08:27:04.7735861Z * [new tag] ciflow/vllm/169220 -> ciflow/vllm/169220 2025-12-04T08:27:04.7736203Z * [new tag] ciflow/xpu/157994 -> ciflow/xpu/157994 2025-12-04T08:27:04.7736595Z * [new tag] ciflow/xpu/159718 -> ciflow/xpu/159718 2025-12-04T08:27:04.7739219Z * [new tag] ciflow/xpu/161940 -> ciflow/xpu/161940 2025-12-04T08:27:04.7739559Z * [new tag] ciflow/xpu/163251 -> ciflow/xpu/163251 2025-12-04T08:27:04.7739686Z * [new tag] ciflow/xpu/166829 -> ciflow/xpu/166829 2025-12-04T08:27:04.7739900Z * [new tag] ciflow/xpu/166843 -> ciflow/xpu/166843 2025-12-04T08:27:04.7740024Z * [new tag] ciflow/xpu/167972 -> ciflow/xpu/167972 2025-12-04T08:27:04.7740171Z * [new tag] ciflow/xpu/167981 -> ciflow/xpu/167981 2025-12-04T08:27:04.7740278Z * [new tag] ciflow/xpu/168213 -> ciflow/xpu/168213 2025-12-04T08:27:04.7740518Z * [new tag] ciflow/xpu/168262 -> ciflow/xpu/168262 2025-12-04T08:27:04.7741165Z * [new tag] ciflow/xpu/168328 -> ciflow/xpu/168328 2025-12-04T08:27:04.7741313Z * [new tag] ciflow/xpu/168950 -> ciflow/xpu/168950 2025-12-04T08:27:04.7741623Z * [new tag] ciflow/xpu/169039 -> ciflow/xpu/169039 2025-12-04T08:27:04.7742194Z * [new tag] ciflow/xpu/169200 -> ciflow/xpu/169200 2025-12-04T08:27:04.7742520Z * [new tag] ciflow/xpu/169203 -> ciflow/xpu/169203 2025-12-04T08:27:04.7743376Z * [new tag] ciflow/xpu/169229 -> ciflow/xpu/169229 2025-12-04T08:27:04.7743508Z * [new tag] ciflow/xpu/169230 -> ciflow/xpu/169230 2025-12-04T08:27:04.7743895Z * [new tag] ciflow/xpu/169231 -> ciflow/xpu/169231 2025-12-04T08:27:04.7746486Z * [new tag] ciflow/xpu/169241 -> ciflow/xpu/169241 2025-12-04T08:27:04.7746787Z * [new tag] ciflow/xpu/169280 -> ciflow/xpu/169280 2025-12-04T08:27:04.7746936Z * [new tag] ciflow/xpu/169296 -> ciflow/xpu/169296 2025-12-04T08:27:04.7747037Z * [new tag] ciflow/xpu/169353 -> ciflow/xpu/169353 2025-12-04T08:27:04.7747150Z * [new tag] ciflow/xpu/169410 -> ciflow/xpu/169410 2025-12-04T08:27:04.7747380Z * [new tag] ciflow/xpu/169442 -> ciflow/xpu/169442 2025-12-04T08:27:04.7747506Z * [new tag] cslpull75 -> cslpull75 2025-12-04T08:27:04.7747602Z * [new tag] cslpull76 -> cslpull76 2025-12-04T08:27:04.7748358Z * [new tag] cslpull77 -> cslpull77 2025-12-04T08:27:04.7748647Z * [new tag] cslpull78 -> cslpull78 2025-12-04T08:27:04.7751082Z * [new tag] cslpull79 -> cslpull79 2025-12-04T08:27:04.7751366Z * [new tag] cslpull80 -> cslpull80 2025-12-04T08:27:04.7751610Z * [new tag] cslpull81 -> cslpull81 2025-12-04T08:27:04.7751716Z * [new tag] cslpull82 -> cslpull82 2025-12-04T08:27:04.7756032Z * [new tag] cslpull83 -> cslpull83 2025-12-04T08:27:04.7756347Z * [new tag] cslpull84 -> cslpull84 2025-12-04T08:27:04.7756463Z * [new tag] cslpull85 -> cslpull85 2025-12-04T08:27:04.7756644Z * [new tag] cslpull86 -> cslpull86 2025-12-04T08:27:04.7756932Z * [new tag] cslpull87 -> cslpull87 2025-12-04T08:27:04.7757029Z * [new tag] cslpull88 -> cslpull88 2025-12-04T08:27:04.7757128Z * [new tag] cslpull89 -> cslpull89 2025-12-04T08:27:04.7757229Z * [new tag] cslpull90 -> cslpull90 2025-12-04T08:27:04.7757336Z * [new tag] cslpull91 -> cslpull91 2025-12-04T08:27:04.7757426Z * [new tag] cslpull92 -> cslpull92 2025-12-04T08:27:04.7757525Z * [new tag] flight_5 -> flight_5 2025-12-04T08:27:04.7757634Z * [new tag] flight_5.1 -> flight_5.1 2025-12-04T08:27:04.7757963Z * [new tag] flight_5.2 -> flight_5.2 2025-12-04T08:27:04.7758244Z * [new tag] flight_5.3 -> flight_5.3 2025-12-04T08:27:04.7761555Z * [new tag] forpull1 -> forpull1 2025-12-04T08:27:04.7761837Z * [new tag] malfet/tag-2ef5611 -> malfet/tag-2ef5611 2025-12-04T08:27:04.7762046Z * [new tag] malfet/tag-317b1a0 -> malfet/tag-317b1a0 2025-12-04T08:27:04.7762171Z * [new tag] malfet/tag-ec6f767 -> malfet/tag-ec6f767 2025-12-04T08:27:04.7762300Z * [new tag] nightly-binary -> nightly-binary 2025-12-04T08:27:04.7762425Z * [new tag] sqzhang_flight4_plus -> sqzhang_flight4_plus 2025-12-04T08:27:04.7762545Z * [new tag] sqzhang_flight_3 -> sqzhang_flight_3 2025-12-04T08:27:04.7765882Z * [new tag] trunk/02d8bd6974cf84b721680d773dbdb1b6f40ce272 -> trunk/02d8bd6974cf84b721680d773dbdb1b6f40ce272 2025-12-04T08:27:04.7768506Z * [new tag] trunk/066997fb38ade71e00d78e9d572e380b5f02bd3e -> trunk/066997fb38ade71e00d78e9d572e380b5f02bd3e 2025-12-04T08:27:04.7768797Z * [new tag] trunk/076e7b19fa1d481ad778d06d2b49ba57d3ce8c88 -> trunk/076e7b19fa1d481ad778d06d2b49ba57d3ce8c88 2025-12-04T08:27:04.7769066Z * [new tag] trunk/07dcc0b83db3211653a38565a24e15acdba75654 -> trunk/07dcc0b83db3211653a38565a24e15acdba75654 2025-12-04T08:27:04.7769368Z * [new tag] trunk/082e96b68dfcd16cab7cfafc4d3d055767dab3eb -> trunk/082e96b68dfcd16cab7cfafc4d3d055767dab3eb 2025-12-04T08:27:04.7769643Z * [new tag] trunk/088048f2fea28ff7d450f65c72419ca45780d30b -> trunk/088048f2fea28ff7d450f65c72419ca45780d30b 2025-12-04T08:27:04.7769887Z * [new tag] trunk/09076941a95c76f4d9ad189d064dfd8baa39e672 -> trunk/09076941a95c76f4d9ad189d064dfd8baa39e672 2025-12-04T08:27:04.7770109Z * [new tag] trunk/0b80a4c62b94402844bf221791c096b0035c6d75 -> trunk/0b80a4c62b94402844bf221791c096b0035c6d75 2025-12-04T08:27:04.7770750Z * [new tag] trunk/0bbbdf1750567a980634ad907a325357ba8ba8f2 -> trunk/0bbbdf1750567a980634ad907a325357ba8ba8f2 2025-12-04T08:27:04.7774662Z * [new tag] trunk/0c281dd78773b2bc17c58ead0e4cd4ac46e775c5 -> trunk/0c281dd78773b2bc17c58ead0e4cd4ac46e775c5 2025-12-04T08:27:04.7778646Z * [new tag] trunk/135f3753c418a6879b1954904184937b67e61688 -> trunk/135f3753c418a6879b1954904184937b67e61688 2025-12-04T08:27:04.7782683Z * [new tag] trunk/15da21026cb13cd20257dc9e96830db108743c10 -> trunk/15da21026cb13cd20257dc9e96830db108743c10 2025-12-04T08:27:04.7784286Z * [new tag] trunk/166efdad2ac827f30fb02504c6017520257f88ec -> trunk/166efdad2ac827f30fb02504c6017520257f88ec 2025-12-04T08:27:04.7784572Z * [new tag] trunk/174272c15fae553d8488140af931f7d8050a313f -> trunk/174272c15fae553d8488140af931f7d8050a313f 2025-12-04T08:27:04.7788681Z * [new tag] trunk/18f3ca08f13b8de61307f5e8cd7d4cccb67e9d11 -> trunk/18f3ca08f13b8de61307f5e8cd7d4cccb67e9d11 2025-12-04T08:27:04.7790834Z * [new tag] trunk/1902eddfe655a15ebcf2c72bd81ade110fdeef63 -> trunk/1902eddfe655a15ebcf2c72bd81ade110fdeef63 2025-12-04T08:27:04.7791227Z * [new tag] trunk/195f92e98d3d66738577f11f22c4b5c8a1c76dd5 -> trunk/195f92e98d3d66738577f11f22c4b5c8a1c76dd5 2025-12-04T08:27:04.7791549Z * [new tag] trunk/1aa13e17de39e3c768ea7aebaad166ce72a06676 -> trunk/1aa13e17de39e3c768ea7aebaad166ce72a06676 2025-12-04T08:27:04.7791898Z * [new tag] trunk/1afe2832f58e24e54a5bfda5a5afa9b96fdea40e -> trunk/1afe2832f58e24e54a5bfda5a5afa9b96fdea40e 2025-12-04T08:27:04.7792226Z * [new tag] trunk/1c87554d74140eaee964ca8b1832cede67f5f520 -> trunk/1c87554d74140eaee964ca8b1832cede67f5f520 2025-12-04T08:27:04.7792905Z * [new tag] trunk/1ccb743b7b5be955f49736c162c4f5004b8a0dd8 -> trunk/1ccb743b7b5be955f49736c162c4f5004b8a0dd8 2025-12-04T08:27:04.7793179Z * [new tag] trunk/1cee47d6ce0a02227185b566593f002dd639ca0c -> trunk/1cee47d6ce0a02227185b566593f002dd639ca0c 2025-12-04T08:27:04.7793404Z * [new tag] trunk/1d21b4df2babe322e5d085ceb6de884eb260a62d -> trunk/1d21b4df2babe322e5d085ceb6de884eb260a62d 2025-12-04T08:27:04.7793628Z * [new tag] trunk/1e34fb2550e4aa650314f7a6d9f6daf4da7478a8 -> trunk/1e34fb2550e4aa650314f7a6d9f6daf4da7478a8 2025-12-04T08:27:04.7793875Z * [new tag] trunk/1e526fb5b1d93bfc70691c5c3955fdffc1b7b7de -> trunk/1e526fb5b1d93bfc70691c5c3955fdffc1b7b7de 2025-12-04T08:27:04.7794087Z * [new tag] trunk/1ee32a8b1f554a312d79bad01ded24f38cd95543 -> trunk/1ee32a8b1f554a312d79bad01ded24f38cd95543 2025-12-04T08:27:04.7794469Z * [new tag] trunk/201e2c4117eb9744594dad6a5c18213d7b4705d7 -> trunk/201e2c4117eb9744594dad6a5c18213d7b4705d7 2025-12-04T08:27:04.7794685Z * [new tag] trunk/2353a0f60eb4b4cb6675907a7fa9fbedc1c02e7f -> trunk/2353a0f60eb4b4cb6675907a7fa9fbedc1c02e7f 2025-12-04T08:27:04.7794898Z * [new tag] trunk/285779b1621cf9f073a062b0889a642d200308d9 -> trunk/285779b1621cf9f073a062b0889a642d200308d9 2025-12-04T08:27:04.7795105Z * [new tag] trunk/2887faaec6295d081580d09fce161201826c6d87 -> trunk/2887faaec6295d081580d09fce161201826c6d87 2025-12-04T08:27:04.7795309Z * [new tag] trunk/296e67c92635443c67b11c0ae1bd045f03ebb7bc -> trunk/296e67c92635443c67b11c0ae1bd045f03ebb7bc 2025-12-04T08:27:04.7795522Z * [new tag] trunk/29856679769b3dede478767e2fe6cfb51197cb25 -> trunk/29856679769b3dede478767e2fe6cfb51197cb25 2025-12-04T08:27:04.7795724Z * [new tag] trunk/29e5455a4740c326ab187c7aa7b5ef98034ea563 -> trunk/29e5455a4740c326ab187c7aa7b5ef98034ea563 2025-12-04T08:27:04.7795939Z * [new tag] trunk/2ac3ef882afb23136adc188975f0a8802fc68adf -> trunk/2ac3ef882afb23136adc188975f0a8802fc68adf 2025-12-04T08:27:04.7796140Z * [new tag] trunk/2bec68e73b64715354af076ad309335f943e36cd -> trunk/2bec68e73b64715354af076ad309335f943e36cd 2025-12-04T08:27:04.7796342Z * [new tag] trunk/2c87367e6f88662cd5cedbd1537748b7948c38e1 -> trunk/2c87367e6f88662cd5cedbd1537748b7948c38e1 2025-12-04T08:27:04.7796557Z * [new tag] trunk/2d1f78fe3ec13820f136a2e0336da12a25f41708 -> trunk/2d1f78fe3ec13820f136a2e0336da12a25f41708 2025-12-04T08:27:04.7796818Z * [new tag] trunk/2df6058f116a65722a0e03073402feb242572d35 -> trunk/2df6058f116a65722a0e03073402feb242572d35 2025-12-04T08:27:04.7797032Z * [new tag] trunk/2e0c2e170fe658c440775c8e5c44228aafcc47ec -> trunk/2e0c2e170fe658c440775c8e5c44228aafcc47ec 2025-12-04T08:27:04.7797240Z * [new tag] trunk/2f9b7dad7b5419b063bd0f2e204de192720ebb94 -> trunk/2f9b7dad7b5419b063bd0f2e204de192720ebb94 2025-12-04T08:27:04.7797454Z * [new tag] trunk/305168768a95d69c444df5cd334bb774edfe06f1 -> trunk/305168768a95d69c444df5cd334bb774edfe06f1 2025-12-04T08:27:04.7797653Z * [new tag] trunk/31fc12773026e8e00f054dd79ad9b2491e693b48 -> trunk/31fc12773026e8e00f054dd79ad9b2491e693b48 2025-12-04T08:27:04.7797859Z * [new tag] trunk/320de0c6b0a3e7c6d2693ea5c28d5d0156ba7991 -> trunk/320de0c6b0a3e7c6d2693ea5c28d5d0156ba7991 2025-12-04T08:27:04.7798073Z * [new tag] trunk/3418bd29475dff06695045fcdf93e7d0dac67da8 -> trunk/3418bd29475dff06695045fcdf93e7d0dac67da8 2025-12-04T08:27:04.7798280Z * [new tag] trunk/34a98608afa0cb5b48f0d6d30432fdd0a2614ddf -> trunk/34a98608afa0cb5b48f0d6d30432fdd0a2614ddf 2025-12-04T08:27:04.7798497Z * [new tag] trunk/35b7a9a26c5923d98aebaa41a031dae21788a9ee -> trunk/35b7a9a26c5923d98aebaa41a031dae21788a9ee 2025-12-04T08:27:04.7798709Z * [new tag] trunk/39d07dbf03a911bdd45d1af78d8638dc92074938 -> trunk/39d07dbf03a911bdd45d1af78d8638dc92074938 2025-12-04T08:27:04.7798916Z * [new tag] trunk/3cd98b4205ada151042cc7ff097a82d4a4b18725 -> trunk/3cd98b4205ada151042cc7ff097a82d4a4b18725 2025-12-04T08:27:04.7799136Z * [new tag] trunk/3d35fd20a78ff4d016fa80f4e5fad37191d7bcae -> trunk/3d35fd20a78ff4d016fa80f4e5fad37191d7bcae 2025-12-04T08:27:04.7799344Z * [new tag] trunk/409a5fee945c46a3edaf5df162812f201bfd7b2f -> trunk/409a5fee945c46a3edaf5df162812f201bfd7b2f 2025-12-04T08:27:04.7799573Z * [new tag] trunk/42e9005cda22da3f1c559c3649218cebd671027c -> trunk/42e9005cda22da3f1c559c3649218cebd671027c 2025-12-04T08:27:04.7799781Z * [new tag] trunk/43b94713bbf340d3c124fde02d0f73add4021247 -> trunk/43b94713bbf340d3c124fde02d0f73add4021247 2025-12-04T08:27:04.7799997Z * [new tag] trunk/44ac69388a4a5eb463dbd2a13f00d1e3b924566c -> trunk/44ac69388a4a5eb463dbd2a13f00d1e3b924566c 2025-12-04T08:27:04.7800260Z * [new tag] trunk/45d14e2497292be06ad36eaa1aaaf7c630a2586a -> trunk/45d14e2497292be06ad36eaa1aaaf7c630a2586a 2025-12-04T08:27:04.7800464Z * [new tag] trunk/45d310ad84854dff730c0b12e577d7998d978686 -> trunk/45d310ad84854dff730c0b12e577d7998d978686 2025-12-04T08:27:04.7800682Z * [new tag] trunk/47b28ddf7bd74b50fa93b307a7d3b183a6d77f54 -> trunk/47b28ddf7bd74b50fa93b307a7d3b183a6d77f54 2025-12-04T08:27:04.7800890Z * [new tag] trunk/481e5ab336275bd3acd5fa8a611b05b4469012af -> trunk/481e5ab336275bd3acd5fa8a611b05b4469012af 2025-12-04T08:27:04.7801104Z * [new tag] trunk/491731647f6b8a9345dcfb3bc9416aea254a7d96 -> trunk/491731647f6b8a9345dcfb3bc9416aea254a7d96 2025-12-04T08:27:04.7801310Z * [new tag] trunk/49a04d26088acc17d948ddd66920f3e16371e873 -> trunk/49a04d26088acc17d948ddd66920f3e16371e873 2025-12-04T08:27:04.7801521Z * [new tag] trunk/4bebc827c47d2f1f0fa1a417a5201a97aef3d985 -> trunk/4bebc827c47d2f1f0fa1a417a5201a97aef3d985 2025-12-04T08:27:04.7801740Z * [new tag] trunk/4c246677784c6a14bc2dbb9ff8773ef0a3a3222f -> trunk/4c246677784c6a14bc2dbb9ff8773ef0a3a3222f 2025-12-04T08:27:04.7802127Z * [new tag] trunk/4cfb47ff548b6d996641058cf04a70e311a4c3aa -> trunk/4cfb47ff548b6d996641058cf04a70e311a4c3aa 2025-12-04T08:27:04.7802372Z * [new tag] trunk/4e0061c1aa52f606dda8cfab0bd7591e588faf2c -> trunk/4e0061c1aa52f606dda8cfab0bd7591e588faf2c 2025-12-04T08:27:04.7802592Z * [new tag] trunk/4fefb8e7e942386ffac764a41b232241f82bea3a -> trunk/4fefb8e7e942386ffac764a41b232241f82bea3a 2025-12-04T08:27:04.7802912Z * [new tag] trunk/503b2640023521f5a35cd9a52fc8033d73a95d0d -> trunk/503b2640023521f5a35cd9a52fc8033d73a95d0d 2025-12-04T08:27:04.7803153Z * [new tag] trunk/518c2b1b3dab9a2ef2849e04b3bc2f20c1c41db9 -> trunk/518c2b1b3dab9a2ef2849e04b3bc2f20c1c41db9 2025-12-04T08:27:04.7803423Z * [new tag] trunk/5191b2fa68ba19960912bfd7fd721c79d76bb1f3 -> trunk/5191b2fa68ba19960912bfd7fd721c79d76bb1f3 2025-12-04T08:27:04.7803639Z * [new tag] trunk/52ac0f0dc4acacd219f1317fbc28ec631c01e07a -> trunk/52ac0f0dc4acacd219f1317fbc28ec631c01e07a 2025-12-04T08:27:04.7803842Z * [new tag] trunk/539ba711b029de9f191070f4f0d12f18f5b7f292 -> trunk/539ba711b029de9f191070f4f0d12f18f5b7f292 2025-12-04T08:27:04.7804081Z * [new tag] trunk/556375b55deebebbc56cb7aef81f4d52f031ba28 -> trunk/556375b55deebebbc56cb7aef81f4d52f031ba28 2025-12-04T08:27:04.7804321Z * [new tag] trunk/55c4ab554845481d0a69a3811937575fe8bb1a66 -> trunk/55c4ab554845481d0a69a3811937575fe8bb1a66 2025-12-04T08:27:04.7804559Z * [new tag] trunk/5634469fda9e5d98869c82c7d03bb08914245f96 -> trunk/5634469fda9e5d98869c82c7d03bb08914245f96 2025-12-04T08:27:04.7804795Z * [new tag] trunk/5778f6ff894686a975a9a23645178ae4c87ad5dc -> trunk/5778f6ff894686a975a9a23645178ae4c87ad5dc 2025-12-04T08:27:04.7805042Z * [new tag] trunk/587d63a3e07de5dc91065f9ef70bcacda9989068 -> trunk/587d63a3e07de5dc91065f9ef70bcacda9989068 2025-12-04T08:27:04.7805307Z * [new tag] trunk/597930f6b568852356ca9795dac76f9e4653adbd -> trunk/597930f6b568852356ca9795dac76f9e4653adbd 2025-12-04T08:27:04.7805564Z * [new tag] trunk/597df3a4e2a67b9fdbe1a89b2f4d74f822274db6 -> trunk/597df3a4e2a67b9fdbe1a89b2f4d74f822274db6 2025-12-04T08:27:04.7805806Z * [new tag] trunk/59abd50e931f4efb21b053f7a2911f5d8a49d883 -> trunk/59abd50e931f4efb21b053f7a2911f5d8a49d883 2025-12-04T08:27:04.7806050Z * [new tag] trunk/5a607febc04c3a2b5824c75f3f60307867439a2c -> trunk/5a607febc04c3a2b5824c75f3f60307867439a2c 2025-12-04T08:27:04.7806290Z * [new tag] trunk/5bf1cdf4755c54ef462b44cb8041b0a57311556b -> trunk/5bf1cdf4755c54ef462b44cb8041b0a57311556b 2025-12-04T08:27:04.7806552Z * [new tag] trunk/5f0030ba63d334d7e8c93a09e41403b89e4c573c -> trunk/5f0030ba63d334d7e8c93a09e41403b89e4c573c 2025-12-04T08:27:04.7806787Z * [new tag] trunk/5f21d27e71268464d362a96c9ac09ea475f7f202 -> trunk/5f21d27e71268464d362a96c9ac09ea475f7f202 2025-12-04T08:27:04.7807027Z * [new tag] trunk/5fafc13038c9988d9ac21fa793fbd5890604b447 -> trunk/5fafc13038c9988d9ac21fa793fbd5890604b447 2025-12-04T08:27:04.7807277Z * [new tag] trunk/61be54a31dc09b59d99b62176fb935aee0b924ef -> trunk/61be54a31dc09b59d99b62176fb935aee0b924ef 2025-12-04T08:27:04.7807515Z * [new tag] trunk/62d3ccd71484ed6a760d909b41487101bbc65719 -> trunk/62d3ccd71484ed6a760d909b41487101bbc65719 2025-12-04T08:27:04.7807758Z * [new tag] trunk/641cdb68ae27668eb441d0e49c87a0602c120c2b -> trunk/641cdb68ae27668eb441d0e49c87a0602c120c2b 2025-12-04T08:27:04.7807977Z * [new tag] trunk/65c4620d6bb0c6029f69762c22b91dda2294da9a -> trunk/65c4620d6bb0c6029f69762c22b91dda2294da9a 2025-12-04T08:27:04.7808196Z * [new tag] trunk/66004b993744b4106bf8afaba71f3c228a804206 -> trunk/66004b993744b4106bf8afaba71f3c228a804206 2025-12-04T08:27:04.7808438Z * [new tag] trunk/6658a04c7ca67acb64512341342e7b3ee13ee386 -> trunk/6658a04c7ca67acb64512341342e7b3ee13ee386 2025-12-04T08:27:04.7808677Z * [new tag] trunk/6864e309092a71f8ab0ca6a4dc7f8a4073fd31c4 -> trunk/6864e309092a71f8ab0ca6a4dc7f8a4073fd31c4 2025-12-04T08:27:04.7808919Z * [new tag] trunk/6c261c6cb07892c90ca19ed51c9705b1659a3f7d -> trunk/6c261c6cb07892c90ca19ed51c9705b1659a3f7d 2025-12-04T08:27:04.7809171Z * [new tag] trunk/6c8b6a043f1628188b6396b3a2a6e000ca68362b -> trunk/6c8b6a043f1628188b6396b3a2a6e000ca68362b 2025-12-04T08:27:04.7809405Z * [new tag] trunk/6ceb4a32f92ae67ce5d7d97931d17401ebf5ffa5 -> trunk/6ceb4a32f92ae67ce5d7d97931d17401ebf5ffa5 2025-12-04T08:27:04.7809635Z * [new tag] trunk/6e404e9b7d6f5fb0de86aa73888c3038248c17f8 -> trunk/6e404e9b7d6f5fb0de86aa73888c3038248c17f8 2025-12-04T08:27:04.7809868Z * [new tag] trunk/6ec30b490aee1db6bcdc7340abddef25784f08ec -> trunk/6ec30b490aee1db6bcdc7340abddef25784f08ec 2025-12-04T08:27:04.7810094Z * [new tag] trunk/6f2783a6c08e1db34275ff25176ffe9aebc30a71 -> trunk/6f2783a6c08e1db34275ff25176ffe9aebc30a71 2025-12-04T08:27:04.7810319Z * [new tag] trunk/6f53fefeb90ad3281119b5cfc4aa9ffd8a066e3d -> trunk/6f53fefeb90ad3281119b5cfc4aa9ffd8a066e3d 2025-12-04T08:27:04.7810558Z * [new tag] trunk/6f7dcf51e46d0c880db1a2f5c70de57adb576f4a -> trunk/6f7dcf51e46d0c880db1a2f5c70de57adb576f4a 2025-12-04T08:27:04.7810783Z * [new tag] trunk/6ff831180d2fa436c7f1c1af3adac641fce9d60e -> trunk/6ff831180d2fa436c7f1c1af3adac641fce9d60e 2025-12-04T08:27:04.7811015Z * [new tag] trunk/70076464a63ab218a7ceefb0e76ccd7131deb8f8 -> trunk/70076464a63ab218a7ceefb0e76ccd7131deb8f8 2025-12-04T08:27:04.7811247Z * [new tag] trunk/70d797a5fc109b20a517646fcaa819477cd0d485 -> trunk/70d797a5fc109b20a517646fcaa819477cd0d485 2025-12-04T08:27:04.7811918Z * [new tag] trunk/7348cb355ff0a6f79cd4871215aea72185748734 -> trunk/7348cb355ff0a6f79cd4871215aea72185748734 2025-12-04T08:27:04.7812278Z * [new tag] trunk/74fe26a1ebe32931783569f2e762e3c2c974901f -> trunk/74fe26a1ebe32931783569f2e762e3c2c974901f 2025-12-04T08:27:04.7812829Z * [new tag] trunk/76aeb8c7e0f795b3fddca134cbea9a69da3ee696 -> trunk/76aeb8c7e0f795b3fddca134cbea9a69da3ee696 2025-12-04T08:27:04.7814623Z * [new tag] trunk/7741edd4ed665f3988052e260863efb508d61a03 -> trunk/7741edd4ed665f3988052e260863efb508d61a03 2025-12-04T08:27:04.7815051Z * [new tag] trunk/78adb3b3df41b45d2368b67226d2f864b78939a6 -> trunk/78adb3b3df41b45d2368b67226d2f864b78939a6 2025-12-04T08:27:04.7815428Z * [new tag] trunk/79d7b178225e5ed24d4e1db74e5abbff848f5fb7 -> trunk/79d7b178225e5ed24d4e1db74e5abbff848f5fb7 2025-12-04T08:27:04.7816067Z * [new tag] trunk/7a1e316115fc6996b3f2336822ba5d5f6179f0c3 -> trunk/7a1e316115fc6996b3f2336822ba5d5f6179f0c3 2025-12-04T08:27:04.7816408Z * [new tag] trunk/7a41b66367c38d0af3e8a90f7be48d6b281e7bca -> trunk/7a41b66367c38d0af3e8a90f7be48d6b281e7bca 2025-12-04T08:27:04.7816756Z * [new tag] trunk/7b7af390ea8541c611d1ce2018a6934188fc197b -> trunk/7b7af390ea8541c611d1ce2018a6934188fc197b 2025-12-04T08:27:04.7821250Z * [new tag] trunk/7ba4680f3755a560af81aa0f688791e367aa3609 -> trunk/7ba4680f3755a560af81aa0f688791e367aa3609 2025-12-04T08:27:04.7821686Z * [new tag] trunk/7bc2a66ded06a0b2549aa51d807edc5dc3e73d1b -> trunk/7bc2a66ded06a0b2549aa51d807edc5dc3e73d1b 2025-12-04T08:27:04.7822038Z * [new tag] trunk/7c648509a7470ace9fb2bae960dd4790f7e943e9 -> trunk/7c648509a7470ace9fb2bae960dd4790f7e943e9 2025-12-04T08:27:04.7822379Z * [new tag] trunk/7cbc2d034cecd21ab5c9707d0a9c525c17143fb8 -> trunk/7cbc2d034cecd21ab5c9707d0a9c525c17143fb8 2025-12-04T08:27:04.7823057Z * [new tag] trunk/7d1bbaf4ba301ea3fba6f3c7bc02d58f6417aaed -> trunk/7d1bbaf4ba301ea3fba6f3c7bc02d58f6417aaed 2025-12-04T08:27:04.7823316Z * [new tag] trunk/7d2a33e4ebf60b217a3cd77feae19231eb996fc8 -> trunk/7d2a33e4ebf60b217a3cd77feae19231eb996fc8 2025-12-04T08:27:04.7823541Z * [new tag] trunk/7eb625920054b1126a7d2d99818aaa188c6ba95e -> trunk/7eb625920054b1126a7d2d99818aaa188c6ba95e 2025-12-04T08:27:04.7823762Z * [new tag] trunk/7f55ba19c456a3d6cc443dd9edb6bb7cca677ead -> trunk/7f55ba19c456a3d6cc443dd9edb6bb7cca677ead 2025-12-04T08:27:04.7824321Z * [new tag] trunk/81af382128efa094d8702e18f2c133760904c718 -> trunk/81af382128efa094d8702e18f2c133760904c718 2025-12-04T08:27:04.7825075Z * [new tag] trunk/84149583d483e9c973c9a0feda70e4f3964947b0 -> trunk/84149583d483e9c973c9a0feda70e4f3964947b0 2025-12-04T08:27:04.7825361Z * [new tag] trunk/85a315917efe82c24306be805c584ec044951c75 -> trunk/85a315917efe82c24306be805c584ec044951c75 2025-12-04T08:27:04.7825845Z * [new tag] trunk/87329491c82a5f8c1cc4ec11d8f55a5de2551ece -> trunk/87329491c82a5f8c1cc4ec11d8f55a5de2551ece 2025-12-04T08:27:04.7826312Z * [new tag] trunk/892640e25aeefa8007c5af837214b4502b6b62a6 -> trunk/892640e25aeefa8007c5af837214b4502b6b62a6 2025-12-04T08:27:04.7827713Z * [new tag] trunk/89e3bbcb5b5321dc8b9520b4d5a8ee60cea1d0b4 -> trunk/89e3bbcb5b5321dc8b9520b4d5a8ee60cea1d0b4 2025-12-04T08:27:04.7827969Z * [new tag] trunk/8c73bbbb02159223c0c97d268a0a74cb78158a1c -> trunk/8c73bbbb02159223c0c97d268a0a74cb78158a1c 2025-12-04T08:27:04.7828480Z * [new tag] trunk/8d56e98c8db988a22cb2dfaeefb30bc7d2a3cc43 -> trunk/8d56e98c8db988a22cb2dfaeefb30bc7d2a3cc43 2025-12-04T08:27:04.7830029Z * [new tag] trunk/8d9dd9603e5ee26c01007f0cd4f018e584840922 -> trunk/8d9dd9603e5ee26c01007f0cd4f018e584840922 2025-12-04T08:27:04.7830457Z * [new tag] trunk/8ef0c0b02b062d75e7c9be2594914a3e784d23ca -> trunk/8ef0c0b02b062d75e7c9be2594914a3e784d23ca 2025-12-04T08:27:04.7830800Z * [new tag] trunk/90b27e7e8352cde97d32ddad24740ef819633f38 -> trunk/90b27e7e8352cde97d32ddad24740ef819633f38 2025-12-04T08:27:04.7831141Z * [new tag] trunk/90f0139e64b2951815d524b6a373bed20c4fbf90 -> trunk/90f0139e64b2951815d524b6a373bed20c4fbf90 2025-12-04T08:27:04.7831449Z * [new tag] trunk/93d0d6838c56af59b0dba794e6aa08f0c1c7799c -> trunk/93d0d6838c56af59b0dba794e6aa08f0c1c7799c 2025-12-04T08:27:04.7831909Z * [new tag] trunk/94ca8d5f1e81fea3ae488650a0fb6795049a9f87 -> trunk/94ca8d5f1e81fea3ae488650a0fb6795049a9f87 2025-12-04T08:27:04.7832614Z * [new tag] trunk/9844fbeadd5cebdf1281d6fbf79164139c352693 -> trunk/9844fbeadd5cebdf1281d6fbf79164139c352693 2025-12-04T08:27:04.7833301Z * [new tag] trunk/99024dec888ec1e50b546822a32b6fb2f35e5eaa -> trunk/99024dec888ec1e50b546822a32b6fb2f35e5eaa 2025-12-04T08:27:04.7833540Z * [new tag] trunk/9a296e640fc88aa44d275b48cd9cc30c573b169d -> trunk/9a296e640fc88aa44d275b48cd9cc30c573b169d 2025-12-04T08:27:04.7834884Z * [new tag] trunk/9b3e34d8589b29f7b4e7fab6f78711b7ca6e4639 -> trunk/9b3e34d8589b29f7b4e7fab6f78711b7ca6e4639 2025-12-04T08:27:04.7835289Z * [new tag] trunk/9cd055e547e9b67a5f9827f8999c38d7eda1bcb8 -> trunk/9cd055e547e9b67a5f9827f8999c38d7eda1bcb8 2025-12-04T08:27:04.7835642Z * [new tag] trunk/9f0df5686cb4ada94f94620acba2e3c3f363b11d -> trunk/9f0df5686cb4ada94f94620acba2e3c3f363b11d 2025-12-04T08:27:04.7836009Z * [new tag] trunk/9f7fceb887d0cfa0326a59b887821c63ff11340a -> trunk/9f7fceb887d0cfa0326a59b887821c63ff11340a 2025-12-04T08:27:04.7836417Z * [new tag] trunk/9f8ef8855d3078d70f7b782540ff2aaf158d6742 -> trunk/9f8ef8855d3078d70f7b782540ff2aaf158d6742 2025-12-04T08:27:04.7837295Z * [new tag] trunk/9fb52efc797b47a1f425a03aa5e47b866d8b1098 -> trunk/9fb52efc797b47a1f425a03aa5e47b866d8b1098 2025-12-04T08:27:04.7838036Z * [new tag] trunk/9ff4a2ebc5762d46c73e46b1b523d7ff349fedfa -> trunk/9ff4a2ebc5762d46c73e46b1b523d7ff349fedfa 2025-12-04T08:27:04.7838442Z * [new tag] trunk/a0f3937b94422354538ebbd47202d5b0e8a3fd0d -> trunk/a0f3937b94422354538ebbd47202d5b0e8a3fd0d 2025-12-04T08:27:04.7838944Z * [new tag] trunk/a15066c28b3145e6edbfc88359d0411d14cfc70c -> trunk/a15066c28b3145e6edbfc88359d0411d14cfc70c 2025-12-04T08:27:04.7839828Z * [new tag] trunk/a20f775e82564d2a9979221ed7f3b8d7cf54ce90 -> trunk/a20f775e82564d2a9979221ed7f3b8d7cf54ce90 2025-12-04T08:27:04.7840116Z * [new tag] trunk/a2973fb00ec002dd4b6bbf07385f066efb259b8c -> trunk/a2973fb00ec002dd4b6bbf07385f066efb259b8c 2025-12-04T08:27:04.7840472Z * [new tag] trunk/a7dc6dab9ad911259d4801c502907e531594db45 -> trunk/a7dc6dab9ad911259d4801c502907e531594db45 2025-12-04T08:27:04.7842534Z * [new tag] trunk/a951a9cee65c01660bbc6e6fded90ecb10fa6109 -> trunk/a951a9cee65c01660bbc6e6fded90ecb10fa6109 2025-12-04T08:27:04.7842790Z * [new tag] trunk/abfa1a6d65c7c159e35c72c25979b9da4971689e -> trunk/abfa1a6d65c7c159e35c72c25979b9da4971689e 2025-12-04T08:27:04.7843017Z * [new tag] trunk/ae3a2395bf66151078e2d201716f7d63ce1c6f3e -> trunk/ae3a2395bf66151078e2d201716f7d63ce1c6f3e 2025-12-04T08:27:04.7843409Z * [new tag] trunk/afdff7f0325080dedac44d080cb5a3b0e65e6c5e -> trunk/afdff7f0325080dedac44d080cb5a3b0e65e6c5e 2025-12-04T08:27:04.7843798Z * [new tag] trunk/b1aed4e7a72c03a38f44543aaea0dae2e9b76d48 -> trunk/b1aed4e7a72c03a38f44543aaea0dae2e9b76d48 2025-12-04T08:27:04.7844166Z * [new tag] trunk/b1decff555cd50e2123c8c6e25cc0d447c411f62 -> trunk/b1decff555cd50e2123c8c6e25cc0d447c411f62 2025-12-04T08:27:04.7844512Z * [new tag] trunk/b2b6b034c9fd08672c40e63ef243556ad4c49bd2 -> trunk/b2b6b034c9fd08672c40e63ef243556ad4c49bd2 2025-12-04T08:27:04.7845047Z * [new tag] trunk/b39813b4a04931682b0491adba2138d01d716d99 -> trunk/b39813b4a04931682b0491adba2138d01d716d99 2025-12-04T08:27:04.7845554Z * [new tag] trunk/b3a7edb2311367974cc7cd764cfb11a5d6758b24 -> trunk/b3a7edb2311367974cc7cd764cfb11a5d6758b24 2025-12-04T08:27:04.7846101Z * [new tag] trunk/b4cc1329c86acaef6d42c1fac7169b8d870ab0d7 -> trunk/b4cc1329c86acaef6d42c1fac7169b8d870ab0d7 2025-12-04T08:27:04.7846889Z * [new tag] trunk/b555c39217f765759954a4f9f9bd1e9b87bed11a -> trunk/b555c39217f765759954a4f9f9bd1e9b87bed11a 2025-12-04T08:27:04.7847270Z * [new tag] trunk/b6b6c80379388b7f9932c3e6a0f9907bf430e417 -> trunk/b6b6c80379388b7f9932c3e6a0f9907bf430e417 2025-12-04T08:27:04.7849740Z * [new tag] trunk/b6b6d912df0b6f4082f8e50b18bd1de1dd7325f4 -> trunk/b6b6d912df0b6f4082f8e50b18bd1de1dd7325f4 2025-12-04T08:27:04.7850317Z * [new tag] trunk/b7d60685f8cbc939b68a20871e90db67e729329b -> trunk/b7d60685f8cbc939b68a20871e90db67e729329b 2025-12-04T08:27:04.7850671Z * [new tag] trunk/b7f6b9a4fc6259f7af068f31868b3119bb1bac3e -> trunk/b7f6b9a4fc6259f7af068f31868b3119bb1bac3e 2025-12-04T08:27:04.7851429Z * [new tag] trunk/b8c4ba3593761e7b2a3ebd86f040fb07b47c02cf -> trunk/b8c4ba3593761e7b2a3ebd86f040fb07b47c02cf 2025-12-04T08:27:04.7851695Z * [new tag] trunk/b9c8f3a4884befb965ff42620ce44a71b04887f5 -> trunk/b9c8f3a4884befb965ff42620ce44a71b04887f5 2025-12-04T08:27:04.7851927Z * [new tag] trunk/ba1412546f3082c0958c077acc2025e4dbc33f1f -> trunk/ba1412546f3082c0958c077acc2025e4dbc33f1f 2025-12-04T08:27:04.7852152Z * [new tag] trunk/bac403c0b38c63bdbcc0c31f1c2b0bc0260f610f -> trunk/bac403c0b38c63bdbcc0c31f1c2b0bc0260f610f 2025-12-04T08:27:04.7852394Z * [new tag] trunk/bb3034198b459401fabeab254e1b99f0115046e2 -> trunk/bb3034198b459401fabeab254e1b99f0115046e2 2025-12-04T08:27:04.7852646Z * [new tag] trunk/bc39b2b3bc7a6e19a42e62bd576974035086fe55 -> trunk/bc39b2b3bc7a6e19a42e62bd576974035086fe55 2025-12-04T08:27:04.7853560Z * [new tag] trunk/bc43d5b297f207a11d83d77ddf0152bdaabe15a8 -> trunk/bc43d5b297f207a11d83d77ddf0152bdaabe15a8 2025-12-04T08:27:04.7853850Z * [new tag] trunk/bc6a4863c7246a6493d16d4ea6eee71ec07c6a09 -> trunk/bc6a4863c7246a6493d16d4ea6eee71ec07c6a09 2025-12-04T08:27:04.7856497Z * [new tag] trunk/bea4912944defdbcb8b061800caab6cbbbd01df5 -> trunk/bea4912944defdbcb8b061800caab6cbbbd01df5 2025-12-04T08:27:04.7857062Z * [new tag] trunk/c04e2c656f48d82d1521b867bbbf03967b9b7564 -> trunk/c04e2c656f48d82d1521b867bbbf03967b9b7564 2025-12-04T08:27:04.7857436Z * [new tag] trunk/c0660bcee27e7d7731634e274576a7081882bede -> trunk/c0660bcee27e7d7731634e274576a7081882bede 2025-12-04T08:27:04.7858199Z * [new tag] trunk/c178ed43d3d99cbefe84fbfb21d6f282b20d62ac -> trunk/c178ed43d3d99cbefe84fbfb21d6f282b20d62ac 2025-12-04T08:27:04.7858452Z * [new tag] trunk/c55b1e8f61d041ee436d697449eb028931d574fb -> trunk/c55b1e8f61d041ee436d697449eb028931d574fb 2025-12-04T08:27:04.7858677Z * [new tag] trunk/c6ae7579fe12fe75f1a8f7043a494c90567273f1 -> trunk/c6ae7579fe12fe75f1a8f7043a494c90567273f1 2025-12-04T08:27:04.7858906Z * [new tag] trunk/c8210e7d94bad5ae21ac389fa4ba8a463c76c4d0 -> trunk/c8210e7d94bad5ae21ac389fa4ba8a463c76c4d0 2025-12-04T08:27:04.7859313Z * [new tag] trunk/cc0853af42122f8185321f542616f4474e717f09 -> trunk/cc0853af42122f8185321f542616f4474e717f09 2025-12-04T08:27:04.7859590Z * [new tag] trunk/cddec6562eabfa390d014fa3741a5659cf9c94c9 -> trunk/cddec6562eabfa390d014fa3741a5659cf9c94c9 2025-12-04T08:27:04.7860009Z * [new tag] trunk/ce5e7e3bf1f4b69a4f4f93d288ba75b906df492a -> trunk/ce5e7e3bf1f4b69a4f4f93d288ba75b906df492a 2025-12-04T08:27:04.7862203Z * [new tag] trunk/d038b0130ec7c20ebcac219301292fd8e98a1ace -> trunk/d038b0130ec7c20ebcac219301292fd8e98a1ace 2025-12-04T08:27:04.7862465Z * [new tag] trunk/d16447dacaf2420ea175f0c275c75da951f57d39 -> trunk/d16447dacaf2420ea175f0c275c75da951f57d39 2025-12-04T08:27:04.7862688Z * [new tag] trunk/d19f1e8cab6810bb2e99141f9976665954c67a50 -> trunk/d19f1e8cab6810bb2e99141f9976665954c67a50 2025-12-04T08:27:04.7862913Z * [new tag] trunk/d1c9f03b2a5af4104721712f8cdffe9b4f340c01 -> trunk/d1c9f03b2a5af4104721712f8cdffe9b4f340c01 2025-12-04T08:27:04.7863325Z * [new tag] trunk/d40f4950f2b7f7aa380a22fe0f6166e71680fbcf -> trunk/d40f4950f2b7f7aa380a22fe0f6166e71680fbcf 2025-12-04T08:27:04.7863671Z * [new tag] trunk/d5038950bacfe36bbf24a47a455fe76901deb8e8 -> trunk/d5038950bacfe36bbf24a47a455fe76901deb8e8 2025-12-04T08:27:04.7864047Z * [new tag] trunk/d54ff42903c2ae0533931ff11d23b35f875bdb3d -> trunk/d54ff42903c2ae0533931ff11d23b35f875bdb3d 2025-12-04T08:27:04.7864533Z * [new tag] trunk/d76697633a2d2b9cced1ae21161849b33bfe7e47 -> trunk/d76697633a2d2b9cced1ae21161849b33bfe7e47 2025-12-04T08:27:04.7867625Z * [new tag] trunk/d78f52b199c547106d4cd9d2856dd0805c118bf1 -> trunk/d78f52b199c547106d4cd9d2856dd0805c118bf1 2025-12-04T08:27:04.7868041Z * [new tag] trunk/d8fd5c6eed28e5004150691d048a3f6785e19a8e -> trunk/d8fd5c6eed28e5004150691d048a3f6785e19a8e 2025-12-04T08:27:04.7868399Z * [new tag] trunk/d900f5e86745dec76713f4b0ef07005ef36b2f5a -> trunk/d900f5e86745dec76713f4b0ef07005ef36b2f5a 2025-12-04T08:27:04.7868744Z * [new tag] trunk/d973dc6b87d763859fe1c5bd1287e3b6b1c49d1b -> trunk/d973dc6b87d763859fe1c5bd1287e3b6b1c49d1b 2025-12-04T08:27:04.7869372Z * [new tag] trunk/d998c03304cb6ede76e1ed535b4ddeb6c2bf40ec -> trunk/d998c03304cb6ede76e1ed535b4ddeb6c2bf40ec 2025-12-04T08:27:04.7869635Z * [new tag] trunk/d9cb8a70833101dbbe16b99520cfbdd70d0a87bf -> trunk/d9cb8a70833101dbbe16b99520cfbdd70d0a87bf 2025-12-04T08:27:04.7869861Z * [new tag] trunk/d9d5e91b43f70eb8637af55db6856d49be391ffd -> trunk/d9d5e91b43f70eb8637af55db6856d49be391ffd 2025-12-04T08:27:04.7870072Z * [new tag] trunk/dd18a75336a4fbd7497955cc5665904724fce889 -> trunk/dd18a75336a4fbd7497955cc5665904724fce889 2025-12-04T08:27:04.7870459Z * [new tag] trunk/ded9bcd61a059bf723e6e84689552962b480ea77 -> trunk/ded9bcd61a059bf723e6e84689552962b480ea77 2025-12-04T08:27:04.7871025Z * [new tag] trunk/dfbd3714d15c37a7b83b322a6b60f997fc00f50c -> trunk/dfbd3714d15c37a7b83b322a6b60f997fc00f50c 2025-12-04T08:27:04.7871523Z * [new tag] trunk/e115f9f4e4b039f8e9a642aaa2bd8254a920541b -> trunk/e115f9f4e4b039f8e9a642aaa2bd8254a920541b 2025-12-04T08:27:04.7871935Z * [new tag] trunk/e3f24fd73ad74c6e7176687986436956c7c18235 -> trunk/e3f24fd73ad74c6e7176687986436956c7c18235 2025-12-04T08:27:04.7874280Z * [new tag] trunk/e7d24d3ff93d1503ba63860b7057438ad93f918e -> trunk/e7d24d3ff93d1503ba63860b7057438ad93f918e 2025-12-04T08:27:04.7874686Z * [new tag] trunk/ea7035f462a0d2830865ee86c832bd101e1427fc -> trunk/ea7035f462a0d2830865ee86c832bd101e1427fc 2025-12-04T08:27:04.7875028Z * [new tag] trunk/eb5c63652a33da42e7018c23df5f20a3eb4c6ccf -> trunk/eb5c63652a33da42e7018c23df5f20a3eb4c6ccf 2025-12-04T08:27:04.7875378Z * [new tag] trunk/ec2c71f5c85021b8938cdafadce24c15a36fd93e -> trunk/ec2c71f5c85021b8938cdafadce24c15a36fd93e 2025-12-04T08:27:04.7876085Z * [new tag] trunk/ecbcc3f6bf327856b435b259ac63cc2f328c4b4e -> trunk/ecbcc3f6bf327856b435b259ac63cc2f328c4b4e 2025-12-04T08:27:04.7876504Z * [new tag] trunk/ee87bbe876c42575e961b32a0827d76bc9782ca2 -> trunk/ee87bbe876c42575e961b32a0827d76bc9782ca2 2025-12-04T08:27:04.7876858Z * [new tag] trunk/ef019d1d431c4c5a95b594cb90d40a50cd00f5e4 -> trunk/ef019d1d431c4c5a95b594cb90d40a50cd00f5e4 2025-12-04T08:27:04.7877498Z * [new tag] trunk/ef8ecc13830a86c4b231f1aad9aba7851db61b53 -> trunk/ef8ecc13830a86c4b231f1aad9aba7851db61b53 2025-12-04T08:27:04.7877905Z * [new tag] trunk/f1076f5510920044912247b1abb8760cb820f598 -> trunk/f1076f5510920044912247b1abb8760cb820f598 2025-12-04T08:27:04.7878222Z * [new tag] trunk/f2d6a75a00a1d648ca9a0abc6a33e14c3dea6c40 -> trunk/f2d6a75a00a1d648ca9a0abc6a33e14c3dea6c40 2025-12-04T08:27:04.7879031Z * [new tag] trunk/f47dd0ddef1359e5b43e4b962412f67b30ecde56 -> trunk/f47dd0ddef1359e5b43e4b962412f67b30ecde56 2025-12-04T08:27:04.7879674Z * [new tag] trunk/f49d32dfa4730dcfb1b60eeeb369b5889da983c8 -> trunk/f49d32dfa4730dcfb1b60eeeb369b5889da983c8 2025-12-04T08:27:04.7880044Z * [new tag] trunk/f4dedf78fc30fd4b93975787ca6074ee89db9467 -> trunk/f4dedf78fc30fd4b93975787ca6074ee89db9467 2025-12-04T08:27:04.7880527Z * [new tag] trunk/f7c0d03819ebed05c4038f095d66d1b8c54aca17 -> trunk/f7c0d03819ebed05c4038f095d66d1b8c54aca17 2025-12-04T08:27:04.7881099Z * [new tag] trunk/f7e1bd80a063e17453c361837ba6ea2570920a73 -> trunk/f7e1bd80a063e17453c361837ba6ea2570920a73 2025-12-04T08:27:04.7881403Z * [new tag] trunk/f9bd6c53624c7c0ea3772de78498326e84c2f0e7 -> trunk/f9bd6c53624c7c0ea3772de78498326e84c2f0e7 2025-12-04T08:27:04.7882369Z * [new tag] trunk/fb5be221a46b51bfc9509013b0d85bc5a9d4f15b -> trunk/fb5be221a46b51bfc9509013b0d85bc5a9d4f15b 2025-12-04T08:27:04.7882809Z * [new tag] trunk/fdf863d5e1de3b2688c9511e96876e34581dbfd7 -> trunk/fdf863d5e1de3b2688c9511e96876e34581dbfd7 2025-12-04T08:27:04.7886826Z * [new tag] trunk/fe0e65adfc0e7ca6e5f57e6ea8b16bd5cc967307 -> trunk/fe0e65adfc0e7ca6e5f57e6ea8b16bd5cc967307 2025-12-04T08:27:04.7887244Z * [new tag] trunk/fec710bf89173f5355468a7ce1afe9157c3d9009 -> trunk/fec710bf89173f5355468a7ce1afe9157c3d9009 2025-12-04T08:27:04.7887609Z * [new tag] trunk/ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 -> trunk/ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:27:04.7887717Z * [new tag] v0.1.1 -> v0.1.1 2025-12-04T08:27:04.7887935Z * [new tag] v0.1.10 -> v0.1.10 2025-12-04T08:27:04.7888027Z * [new tag] v0.1.11 -> v0.1.11 2025-12-04T08:27:04.7888110Z * [new tag] v0.1.12 -> v0.1.12 2025-12-04T08:27:04.7888416Z * [new tag] v0.1.2 -> v0.1.2 2025-12-04T08:27:04.7888509Z * [new tag] v0.1.3 -> v0.1.3 2025-12-04T08:27:04.7888716Z * [new tag] v0.1.4 -> v0.1.4 2025-12-04T08:27:04.7888866Z * [new tag] v0.1.5 -> v0.1.5 2025-12-04T08:27:04.7890209Z * [new tag] v0.1.6 -> v0.1.6 2025-12-04T08:27:04.7890481Z * [new tag] v0.1.7 -> v0.1.7 2025-12-04T08:27:04.7890595Z * [new tag] v0.1.8 -> v0.1.8 2025-12-04T08:27:04.7891950Z * [new tag] v0.1.9 -> v0.1.9 2025-12-04T08:27:04.7892070Z * [new tag] v0.2.0 -> v0.2.0 2025-12-04T08:27:04.7892636Z * [new tag] v0.3.0 -> v0.3.0 2025-12-04T08:27:04.7893279Z * [new tag] v0.3.1 -> v0.3.1 2025-12-04T08:27:04.7893687Z * [new tag] v0.4.0 -> v0.4.0 2025-12-04T08:27:04.7894350Z * [new tag] v0.4.1 -> v0.4.1 2025-12-04T08:27:04.7894607Z * [new tag] v1.0.0 -> v1.0.0 2025-12-04T08:27:04.7895520Z * [new tag] v1.0.0a0 -> v1.0.0a0 2025-12-04T08:27:04.7895641Z * [new tag] v1.0.1 -> v1.0.1 2025-12-04T08:27:04.7898198Z * [new tag] v1.0rc0 -> v1.0rc0 2025-12-04T08:27:04.7898319Z * [new tag] v1.0rc1 -> v1.0rc1 2025-12-04T08:27:04.7898428Z * [new tag] v1.1.0 -> v1.1.0 2025-12-04T08:27:04.7898527Z * [new tag] v1.1.0a0 -> v1.1.0a0 2025-12-04T08:27:04.7898666Z * [new tag] v1.10.0 -> v1.10.0 2025-12-04T08:27:04.7899644Z * [new tag] v1.10.0-rc1 -> v1.10.0-rc1 2025-12-04T08:27:04.7900116Z * [new tag] v1.10.0-rc2 -> v1.10.0-rc2 2025-12-04T08:27:04.7900259Z * [new tag] v1.10.0-rc3 -> v1.10.0-rc3 2025-12-04T08:27:04.7900804Z * [new tag] v1.10.1 -> v1.10.1 2025-12-04T08:27:04.7901175Z * [new tag] v1.10.1-rc1 -> v1.10.1-rc1 2025-12-04T08:27:04.7901773Z * [new tag] v1.10.2 -> v1.10.2 2025-12-04T08:27:04.7901884Z * [new tag] v1.10.2-rc1 -> v1.10.2-rc1 2025-12-04T08:27:04.7904440Z * [new tag] v1.11.0 -> v1.11.0 2025-12-04T08:27:04.7904579Z * [new tag] v1.11.0-rc1 -> v1.11.0-rc1 2025-12-04T08:27:04.7904680Z * [new tag] v1.11.0-rc2 -> v1.11.0-rc2 2025-12-04T08:27:04.7904784Z * [new tag] v1.11.0-rc3 -> v1.11.0-rc3 2025-12-04T08:27:04.7904924Z * [new tag] v1.11.0-rc4 -> v1.11.0-rc4 2025-12-04T08:27:04.7906008Z * [new tag] v1.11.0-rc5 -> v1.11.0-rc5 2025-12-04T08:27:04.7906267Z * [new tag] v1.11.0-rc6 -> v1.11.0-rc6 2025-12-04T08:27:04.7906381Z * [new tag] v1.11.0-rc7 -> v1.11.0-rc7 2025-12-04T08:27:04.7907259Z * [new tag] v1.12.0 -> v1.12.0 2025-12-04T08:27:04.7907367Z * [new tag] v1.12.0-rc1 -> v1.12.0-rc1 2025-12-04T08:27:04.7909779Z * [new tag] v1.12.0-rc2 -> v1.12.0-rc2 2025-12-04T08:27:04.7909903Z * [new tag] v1.12.0-rc3 -> v1.12.0-rc3 2025-12-04T08:27:04.7910006Z * [new tag] v1.12.0-rc4 -> v1.12.0-rc4 2025-12-04T08:27:04.7910098Z * [new tag] v1.12.0-rc5 -> v1.12.0-rc5 2025-12-04T08:27:04.7910706Z * [new tag] v1.12.0-rc6 -> v1.12.0-rc6 2025-12-04T08:27:04.7910815Z * [new tag] v1.12.0-rc7 -> v1.12.0-rc7 2025-12-04T08:27:04.7911246Z * [new tag] v1.12.0-rc8 -> v1.12.0-rc8 2025-12-04T08:27:04.7911718Z * [new tag] v1.12.1 -> v1.12.1 2025-12-04T08:27:04.7912559Z * [new tag] v1.12.1-rc1 -> v1.12.1-rc1 2025-12-04T08:27:04.7912749Z * [new tag] v1.12.1-rc2 -> v1.12.1-rc2 2025-12-04T08:27:04.7914980Z * [new tag] v1.12.1-rc3 -> v1.12.1-rc3 2025-12-04T08:27:04.7915115Z * [new tag] v1.12.1-rc4 -> v1.12.1-rc4 2025-12-04T08:27:04.7915214Z * [new tag] v1.12.1-rc5 -> v1.12.1-rc5 2025-12-04T08:27:04.7915317Z * [new tag] v1.13.0 -> v1.13.0 2025-12-04T08:27:04.7915837Z * [new tag] v1.13.0-rc1 -> v1.13.0-rc1 2025-12-04T08:27:04.7916059Z * [new tag] v1.13.0-rc2 -> v1.13.0-rc2 2025-12-04T08:27:04.7916953Z * [new tag] v1.13.0-rc3 -> v1.13.0-rc3 2025-12-04T08:27:04.7917350Z * [new tag] v1.13.0-rc4 -> v1.13.0-rc4 2025-12-04T08:27:04.7917824Z * [new tag] v1.13.0-rc5 -> v1.13.0-rc5 2025-12-04T08:27:04.7918112Z * [new tag] v1.13.0-rc6 -> v1.13.0-rc6 2025-12-04T08:27:04.7919013Z * [new tag] v1.13.1 -> v1.13.1 2025-12-04T08:27:04.7919244Z * [new tag] v1.13.1-rc1 -> v1.13.1-rc1 2025-12-04T08:27:04.7919592Z * [new tag] v1.2.0 -> v1.2.0 2025-12-04T08:27:04.7921431Z * [new tag] v1.2.0a0 -> v1.2.0a0 2025-12-04T08:27:04.7921585Z * [new tag] v1.3.0 -> v1.3.0 2025-12-04T08:27:04.7921690Z * [new tag] v1.3.0a0 -> v1.3.0a0 2025-12-04T08:27:04.7921786Z * [new tag] v1.3.1 -> v1.3.1 2025-12-04T08:27:04.7922259Z * [new tag] v1.4.0 -> v1.4.0 2025-12-04T08:27:04.7922703Z * [new tag] v1.4.0a0 -> v1.4.0a0 2025-12-04T08:27:04.7926425Z * [new tag] v1.4.1 -> v1.4.1 2025-12-04T08:27:04.7926717Z * [new tag] v1.5.0 -> v1.5.0 2025-12-04T08:27:04.7926925Z * [new tag] v1.5.0-rc1 -> v1.5.0-rc1 2025-12-04T08:27:04.7927056Z * [new tag] v1.5.0-rc2 -> v1.5.0-rc2 2025-12-04T08:27:04.7927162Z * [new tag] v1.5.0-rc3 -> v1.5.0-rc3 2025-12-04T08:27:04.7927395Z * [new tag] v1.5.0-rc4 -> v1.5.0-rc4 2025-12-04T08:27:04.7928010Z * [new tag] v1.5.0-rc5 -> v1.5.0-rc5 2025-12-04T08:27:04.7928144Z * [new tag] v1.5.1 -> v1.5.1 2025-12-04T08:27:04.7928257Z * [new tag] v1.5.1-rc1 -> v1.5.1-rc1 2025-12-04T08:27:04.7928586Z * [new tag] v1.6.0 -> v1.6.0 2025-12-04T08:27:04.7929824Z * [new tag] v1.6.0-rc1 -> v1.6.0-rc1 2025-12-04T08:27:04.7930120Z * [new tag] v1.6.0-rc2 -> v1.6.0-rc2 2025-12-04T08:27:04.7930456Z * [new tag] v1.6.0-rc3 -> v1.6.0-rc3 2025-12-04T08:27:04.7932556Z * [new tag] v1.6.0-rc4 -> v1.6.0-rc4 2025-12-04T08:27:04.7932857Z * [new tag] v1.6.0-rc5 -> v1.6.0-rc5 2025-12-04T08:27:04.7933037Z * [new tag] v1.6.0-rc6 -> v1.6.0-rc6 2025-12-04T08:27:04.7933469Z * [new tag] v1.6.0-rc7 -> v1.6.0-rc7 2025-12-04T08:27:04.7933714Z * [new tag] v1.7.0 -> v1.7.0 2025-12-04T08:27:04.7934357Z * [new tag] v1.7.0-rc1 -> v1.7.0-rc1 2025-12-04T08:27:04.7934658Z * [new tag] v1.7.0-rc2 -> v1.7.0-rc2 2025-12-04T08:27:04.7934954Z * [new tag] v1.7.0-rc3 -> v1.7.0-rc3 2025-12-04T08:27:04.7935413Z * [new tag] v1.7.0-rc4 -> v1.7.0-rc4 2025-12-04T08:27:04.7938396Z * [new tag] v1.7.1 -> v1.7.1 2025-12-04T08:27:04.7938706Z * [new tag] v1.7.1-rc1 -> v1.7.1-rc1 2025-12-04T08:27:04.7938899Z * [new tag] v1.7.1-rc2 -> v1.7.1-rc2 2025-12-04T08:27:04.7939026Z * [new tag] v1.7.1-rc3 -> v1.7.1-rc3 2025-12-04T08:27:04.7939125Z * [new tag] v1.8.0 -> v1.8.0 2025-12-04T08:27:04.7939382Z * [new tag] v1.8.0-rc1 -> v1.8.0-rc1 2025-12-04T08:27:04.7939969Z * [new tag] v1.8.0-rc2 -> v1.8.0-rc2 2025-12-04T08:27:04.7940121Z * [new tag] v1.8.0-rc3 -> v1.8.0-rc3 2025-12-04T08:27:04.7940255Z * [new tag] v1.8.0-rc4 -> v1.8.0-rc4 2025-12-04T08:27:04.7940603Z * [new tag] v1.8.0-rc5 -> v1.8.0-rc5 2025-12-04T08:27:04.7941002Z * [new tag] v1.8.1 -> v1.8.1 2025-12-04T08:27:04.7941887Z * [new tag] v1.8.1-rc1 -> v1.8.1-rc1 2025-12-04T08:27:04.7942003Z * [new tag] v1.8.1-rc2 -> v1.8.1-rc2 2025-12-04T08:27:04.7942336Z * [new tag] v1.8.1-rc3 -> v1.8.1-rc3 2025-12-04T08:27:04.7944525Z * [new tag] v1.8.2 -> v1.8.2 2025-12-04T08:27:04.7944835Z * [new tag] v1.8.2-rc1 -> v1.8.2-rc1 2025-12-04T08:27:04.7945018Z * [new tag] v1.9.0 -> v1.9.0 2025-12-04T08:27:04.7945138Z * [new tag] v1.9.0-rc1 -> v1.9.0-rc1 2025-12-04T08:27:04.7945454Z * [new tag] v1.9.0-rc2 -> v1.9.0-rc2 2025-12-04T08:27:04.7948829Z * [new tag] v1.9.0-rc3 -> v1.9.0-rc3 2025-12-04T08:27:04.7949105Z * [new tag] v1.9.0-rc4 -> v1.9.0-rc4 2025-12-04T08:27:04.7949232Z * [new tag] v1.9.1 -> v1.9.1 2025-12-04T08:27:04.7949326Z * [new tag] v1.9.1-rc1 -> v1.9.1-rc1 2025-12-04T08:27:04.7949418Z * [new tag] v1.9.1-rc2 -> v1.9.1-rc2 2025-12-04T08:27:04.7949650Z * [new tag] v2.0.0 -> v2.0.0 2025-12-04T08:27:04.7950273Z * [new tag] v2.0.0-rc1 -> v2.0.0-rc1 2025-12-04T08:27:04.7950551Z * [new tag] v2.0.0-rc2 -> v2.0.0-rc2 2025-12-04T08:27:04.7950662Z * [new tag] v2.0.0-rc3 -> v2.0.0-rc3 2025-12-04T08:27:04.7950965Z * [new tag] v2.0.0-rc4 -> v2.0.0-rc4 2025-12-04T08:27:04.7952138Z * [new tag] v2.0.0-rc5 -> v2.0.0-rc5 2025-12-04T08:27:04.7952408Z * [new tag] v2.0.0-rc6 -> v2.0.0-rc6 2025-12-04T08:27:04.7952629Z * [new tag] v2.0.1 -> v2.0.1 2025-12-04T08:27:04.7953898Z * [new tag] v2.0.1-rc1 -> v2.0.1-rc1 2025-12-04T08:27:04.7954458Z * [new tag] v2.0.1-rc2 -> v2.0.1-rc2 2025-12-04T08:27:04.7954595Z * [new tag] v2.0.1-rc3 -> v2.0.1-rc3 2025-12-04T08:27:04.7954687Z * [new tag] v2.0.1-rc4 -> v2.0.1-rc4 2025-12-04T08:27:04.7956298Z * [new tag] v2.1.0 -> v2.1.0 2025-12-04T08:27:04.7956458Z * [new tag] v2.1.0-rc1 -> v2.1.0-rc1 2025-12-04T08:27:04.7956605Z * [new tag] v2.1.0-rc2 -> v2.1.0-rc2 2025-12-04T08:27:04.7957820Z * [new tag] v2.1.0-rc3 -> v2.1.0-rc3 2025-12-04T08:27:04.7957948Z * [new tag] v2.1.0-rc4 -> v2.1.0-rc4 2025-12-04T08:27:04.7958483Z * [new tag] v2.1.0-rc5 -> v2.1.0-rc5 2025-12-04T08:27:04.7958804Z * [new tag] v2.1.0-rc6 -> v2.1.0-rc6 2025-12-04T08:27:04.7959679Z * [new tag] v2.1.1 -> v2.1.1 2025-12-04T08:27:04.7959974Z * [new tag] v2.1.1-rc1 -> v2.1.1-rc1 2025-12-04T08:27:04.7960541Z * [new tag] v2.1.1-rc2 -> v2.1.1-rc2 2025-12-04T08:27:04.7961771Z * [new tag] v2.1.1-rc3 -> v2.1.1-rc3 2025-12-04T08:27:04.7962157Z * [new tag] v2.1.1-rc4 -> v2.1.1-rc4 2025-12-04T08:27:04.7963194Z * [new tag] v2.1.1-rc5 -> v2.1.1-rc5 2025-12-04T08:27:04.7963430Z * [new tag] v2.1.1-rc6 -> v2.1.1-rc6 2025-12-04T08:27:04.7963542Z * [new tag] v2.1.2 -> v2.1.2 2025-12-04T08:27:04.7965458Z * [new tag] v2.1.2-rc1 -> v2.1.2-rc1 2025-12-04T08:27:04.7965594Z * [new tag] v2.1.2-rc2 -> v2.1.2-rc2 2025-12-04T08:27:04.7965690Z * [new tag] v2.1.2-rc3 -> v2.1.2-rc3 2025-12-04T08:27:04.7965835Z * [new tag] v2.2.0 -> v2.2.0 2025-12-04T08:27:04.7966989Z * [new tag] v2.2.0-rc1 -> v2.2.0-rc1 2025-12-04T08:27:04.7967277Z * [new tag] v2.2.0-rc2 -> v2.2.0-rc2 2025-12-04T08:27:04.7967836Z * [new tag] v2.2.0-rc3 -> v2.2.0-rc3 2025-12-04T08:27:04.7968123Z * [new tag] v2.2.0-rc4 -> v2.2.0-rc4 2025-12-04T08:27:04.7968498Z * [new tag] v2.2.0-rc5 -> v2.2.0-rc5 2025-12-04T08:27:04.7970206Z * [new tag] v2.2.0-rc6 -> v2.2.0-rc6 2025-12-04T08:27:04.7970492Z * [new tag] v2.2.0-rc7 -> v2.2.0-rc7 2025-12-04T08:27:04.7970670Z * [new tag] v2.2.0-rc8 -> v2.2.0-rc8 2025-12-04T08:27:04.7970891Z * [new tag] v2.2.1 -> v2.2.1 2025-12-04T08:27:04.7971072Z * [new tag] v2.2.1-rc1 -> v2.2.1-rc1 2025-12-04T08:27:04.7971357Z * [new tag] v2.2.1-rc2 -> v2.2.1-rc2 2025-12-04T08:27:04.7973039Z * [new tag] v2.2.1-rc3 -> v2.2.1-rc3 2025-12-04T08:27:04.7973167Z * [new tag] v2.2.2 -> v2.2.2 2025-12-04T08:27:04.7973275Z * [new tag] v2.2.2-rc1 -> v2.2.2-rc1 2025-12-04T08:27:04.7973378Z * [new tag] v2.2.2-rc2 -> v2.2.2-rc2 2025-12-04T08:27:04.7973635Z * [new tag] v2.2.2-rc3 -> v2.2.2-rc3 2025-12-04T08:27:04.7974755Z * [new tag] v2.3.0 -> v2.3.0 2025-12-04T08:27:04.7975071Z * [new tag] v2.3.0-rc1 -> v2.3.0-rc1 2025-12-04T08:27:04.7975407Z * [new tag] v2.3.0-rc10 -> v2.3.0-rc10 2025-12-04T08:27:04.7976662Z * [new tag] v2.3.0-rc11 -> v2.3.0-rc11 2025-12-04T08:27:04.7976941Z * [new tag] v2.3.0-rc12 -> v2.3.0-rc12 2025-12-04T08:27:04.7977066Z * [new tag] v2.3.0-rc2 -> v2.3.0-rc2 2025-12-04T08:27:04.7978596Z * [new tag] v2.3.0-rc3 -> v2.3.0-rc3 2025-12-04T08:27:04.7978907Z * [new tag] v2.3.0-rc4 -> v2.3.0-rc4 2025-12-04T08:27:04.7979108Z * [new tag] v2.3.0-rc5 -> v2.3.0-rc5 2025-12-04T08:27:04.7979220Z * [new tag] v2.3.0-rc6 -> v2.3.0-rc6 2025-12-04T08:27:04.7980109Z * [new tag] v2.3.0-rc7 -> v2.3.0-rc7 2025-12-04T08:27:04.7980225Z * [new tag] v2.3.0-rc8 -> v2.3.0-rc8 2025-12-04T08:27:04.7982694Z * [new tag] v2.3.0-rc9 -> v2.3.0-rc9 2025-12-04T08:27:04.7982981Z * [new tag] v2.3.1 -> v2.3.1 2025-12-04T08:27:04.7983170Z * [new tag] v2.3.1-rc1 -> v2.3.1-rc1 2025-12-04T08:27:04.7983403Z * [new tag] v2.3.1-rc2 -> v2.3.1-rc2 2025-12-04T08:27:04.7983588Z * [new tag] v2.3.1-rc3 -> v2.3.1-rc3 2025-12-04T08:27:04.7983694Z * [new tag] v2.4.0 -> v2.4.0 2025-12-04T08:27:04.7984109Z * [new tag] v2.4.0-rc1 -> v2.4.0-rc1 2025-12-04T08:27:04.7984768Z * [new tag] v2.4.0-rc2 -> v2.4.0-rc2 2025-12-04T08:27:04.7985135Z * [new tag] v2.4.0-rc3 -> v2.4.0-rc3 2025-12-04T08:27:04.7987357Z * [new tag] v2.4.0-rc4 -> v2.4.0-rc4 2025-12-04T08:27:04.7987659Z * [new tag] v2.4.0-rc5 -> v2.4.0-rc5 2025-12-04T08:27:04.7987834Z * [new tag] v2.4.0-rc6 -> v2.4.0-rc6 2025-12-04T08:27:04.7988125Z * [new tag] v2.4.0-rc7 -> v2.4.0-rc7 2025-12-04T08:27:04.7988318Z * [new tag] v2.4.0-rc8 -> v2.4.0-rc8 2025-12-04T08:27:04.7988575Z * [new tag] v2.4.0-rc9 -> v2.4.0-rc9 2025-12-04T08:27:04.7989015Z * [new tag] v2.4.1 -> v2.4.1 2025-12-04T08:27:04.7990051Z * [new tag] v2.4.1-rc1 -> v2.4.1-rc1 2025-12-04T08:27:04.7990327Z * [new tag] v2.4.1-rc2 -> v2.4.1-rc2 2025-12-04T08:27:04.7991004Z * [new tag] v2.4.1-rc3 -> v2.4.1-rc3 2025-12-04T08:27:04.7991354Z * [new tag] v2.5.0 -> v2.5.0 2025-12-04T08:27:04.7993655Z * [new tag] v2.5.0-rc1 -> v2.5.0-rc1 2025-12-04T08:27:04.7994063Z * [new tag] v2.5.0-rc10 -> v2.5.0-rc10 2025-12-04T08:27:04.7994177Z * [new tag] v2.5.0-rc2 -> v2.5.0-rc2 2025-12-04T08:27:04.7994264Z * [new tag] v2.5.0-rc3 -> v2.5.0-rc3 2025-12-04T08:27:04.7994352Z * [new tag] v2.5.0-rc4 -> v2.5.0-rc4 2025-12-04T08:27:04.7994733Z * [new tag] v2.5.0-rc5 -> v2.5.0-rc5 2025-12-04T08:27:04.7995540Z * [new tag] v2.5.0-rc6 -> v2.5.0-rc6 2025-12-04T08:27:04.7996394Z * [new tag] v2.5.0-rc7 -> v2.5.0-rc7 2025-12-04T08:27:04.7996639Z * [new tag] v2.5.0-rc8 -> v2.5.0-rc8 2025-12-04T08:27:04.7997589Z * [new tag] v2.5.0-rc9 -> v2.5.0-rc9 2025-12-04T08:27:04.7997852Z * [new tag] v2.5.1 -> v2.5.1 2025-12-04T08:27:04.7998317Z * [new tag] v2.5.1-rc1 -> v2.5.1-rc1 2025-12-04T08:27:04.7998530Z * [new tag] v2.6.0 -> v2.6.0 2025-12-04T08:27:04.7999466Z * [new tag] v2.6.0-rc1 -> v2.6.0-rc1 2025-12-04T08:27:04.7999739Z * [new tag] v2.6.0-rc2 -> v2.6.0-rc2 2025-12-04T08:27:04.8000777Z * [new tag] v2.6.0-rc3 -> v2.6.0-rc3 2025-12-04T08:27:04.8000884Z * [new tag] v2.6.0-rc4 -> v2.6.0-rc4 2025-12-04T08:27:04.8001849Z * [new tag] v2.6.0-rc5 -> v2.6.0-rc5 2025-12-04T08:27:04.8002356Z * [new tag] v2.6.0-rc6 -> v2.6.0-rc6 2025-12-04T08:27:04.8003219Z * [new tag] v2.6.0-rc7 -> v2.6.0-rc7 2025-12-04T08:27:04.8003462Z * [new tag] v2.6.0-rc8 -> v2.6.0-rc8 2025-12-04T08:27:04.8004430Z * [new tag] v2.6.0-rc9 -> v2.6.0-rc9 2025-12-04T08:27:04.8005221Z * [new tag] v2.7.0 -> v2.7.0 2025-12-04T08:27:04.8005546Z * [new tag] v2.7.0-rc1 -> v2.7.0-rc1 2025-12-04T08:27:04.8006055Z * [new tag] v2.7.0-rc10 -> v2.7.0-rc10 2025-12-04T08:27:04.8006950Z * [new tag] v2.7.0-rc2 -> v2.7.0-rc2 2025-12-04T08:27:04.8007142Z * [new tag] v2.7.0-rc3 -> v2.7.0-rc3 2025-12-04T08:27:04.8009096Z * [new tag] v2.7.0-rc4 -> v2.7.0-rc4 2025-12-04T08:27:04.8009245Z * [new tag] v2.7.0-rc5 -> v2.7.0-rc5 2025-12-04T08:27:04.8009348Z * [new tag] v2.7.0-rc6 -> v2.7.0-rc6 2025-12-04T08:27:04.8009471Z * [new tag] v2.7.0-rc7 -> v2.7.0-rc7 2025-12-04T08:27:04.8010409Z * [new tag] v2.7.0-rc8 -> v2.7.0-rc8 2025-12-04T08:27:04.8010551Z * [new tag] v2.7.0-rc9 -> v2.7.0-rc9 2025-12-04T08:27:04.8011742Z * [new tag] v2.7.1 -> v2.7.1 2025-12-04T08:27:04.8011845Z * [new tag] v2.7.1-rc1 -> v2.7.1-rc1 2025-12-04T08:27:04.8012999Z * [new tag] v2.7.1-rc2 -> v2.7.1-rc2 2025-12-04T08:27:04.8013109Z * [new tag] v2.7.1-rc3 -> v2.7.1-rc3 2025-12-04T08:27:04.8015099Z * [new tag] v2.7.1-rc4 -> v2.7.1-rc4 2025-12-04T08:27:04.8015548Z * [new tag] v2.7.1-rc5 -> v2.7.1-rc5 2025-12-04T08:27:04.8015819Z * [new tag] v2.8.0 -> v2.8.0 2025-12-04T08:27:04.8016006Z * [new tag] v2.8.0-rc1 -> v2.8.0-rc1 2025-12-04T08:27:04.8016118Z * [new tag] v2.8.0-rc2 -> v2.8.0-rc2 2025-12-04T08:27:04.8016552Z * [new tag] v2.8.0-rc3 -> v2.8.0-rc3 2025-12-04T08:27:04.8019637Z * [new tag] v2.8.0-rc4 -> v2.8.0-rc4 2025-12-04T08:27:04.8019774Z * [new tag] v2.8.0-rc5 -> v2.8.0-rc5 2025-12-04T08:27:04.8019870Z * [new tag] v2.8.0-rc6 -> v2.8.0-rc6 2025-12-04T08:27:04.8019984Z * [new tag] v2.8.0-rc7 -> v2.8.0-rc7 2025-12-04T08:27:04.8020082Z * [new tag] v2.8.0-rc8 -> v2.8.0-rc8 2025-12-04T08:27:04.8020180Z * [new tag] v2.9.0 -> v2.9.0 2025-12-04T08:27:04.8020937Z * [new tag] v2.9.0-rc1 -> v2.9.0-rc1 2025-12-04T08:27:04.8021369Z * [new tag] v2.9.0-rc10 -> v2.9.0-rc10 2025-12-04T08:27:04.8022122Z * [new tag] v2.9.0-rc11 -> v2.9.0-rc11 2025-12-04T08:27:04.8023049Z * [new tag] v2.9.0-rc2 -> v2.9.0-rc2 2025-12-04T08:27:04.8023353Z * [new tag] v2.9.0-rc3 -> v2.9.0-rc3 2025-12-04T08:27:04.8024077Z * [new tag] v2.9.0-rc4 -> v2.9.0-rc4 2025-12-04T08:27:04.8024389Z * [new tag] v2.9.0-rc5 -> v2.9.0-rc5 2025-12-04T08:27:04.8026696Z * [new tag] v2.9.0-rc6 -> v2.9.0-rc6 2025-12-04T08:27:04.8026843Z * [new tag] v2.9.0-rc7 -> v2.9.0-rc7 2025-12-04T08:27:04.8026941Z * [new tag] v2.9.0-rc8 -> v2.9.0-rc8 2025-12-04T08:27:04.8031281Z * [new tag] v2.9.0-rc9 -> v2.9.0-rc9 2025-12-04T08:27:04.8031558Z * [new tag] v2.9.1 -> v2.9.1 2025-12-04T08:27:04.8031750Z * [new tag] v2.9.1-rc1 -> v2.9.1-rc1 2025-12-04T08:27:04.8031929Z * [new tag] v2.9.1-rc2 -> v2.9.1-rc2 2025-12-04T08:27:04.8032248Z * [new tag] viable/strict/1759343184 -> viable/strict/1759343184 2025-12-04T08:27:04.8032806Z * [new tag] viable/strict/1759346540 -> viable/strict/1759346540 2025-12-04T08:27:04.8032976Z * [new tag] viable/strict/1759348181 -> viable/strict/1759348181 2025-12-04T08:27:04.8033112Z * [new tag] viable/strict/1759350324 -> viable/strict/1759350324 2025-12-04T08:27:04.8033233Z * [new tag] viable/strict/1759351793 -> viable/strict/1759351793 2025-12-04T08:27:04.8033355Z * [new tag] viable/strict/1759353844 -> viable/strict/1759353844 2025-12-04T08:27:04.8033467Z * [new tag] viable/strict/1759355374 -> viable/strict/1759355374 2025-12-04T08:27:04.8033586Z * [new tag] viable/strict/1759357472 -> viable/strict/1759357472 2025-12-04T08:27:04.8037721Z * [new tag] viable/strict/1759361002 -> viable/strict/1759361002 2025-12-04T08:27:04.8038032Z * [new tag] viable/strict/1759362585 -> viable/strict/1759362585 2025-12-04T08:27:04.8038240Z * [new tag] viable/strict/1759365359 -> viable/strict/1759365359 2025-12-04T08:27:04.8038384Z * [new tag] viable/strict/1759370089 -> viable/strict/1759370089 2025-12-04T08:27:04.8038512Z * [new tag] viable/strict/1759377554 -> viable/strict/1759377554 2025-12-04T08:27:04.8038621Z * [new tag] viable/strict/1759379133 -> viable/strict/1759379133 2025-12-04T08:27:04.8039063Z * [new tag] viable/strict/1759389871 -> viable/strict/1759389871 2025-12-04T08:27:04.8039663Z * [new tag] viable/strict/1759393562 -> viable/strict/1759393562 2025-12-04T08:27:04.8039817Z * [new tag] viable/strict/1759395076 -> viable/strict/1759395076 2025-12-04T08:27:04.8039948Z * [new tag] viable/strict/1759398579 -> viable/strict/1759398579 2025-12-04T08:27:04.8040058Z * [new tag] viable/strict/1759404142 -> viable/strict/1759404142 2025-12-04T08:27:04.8040177Z * [new tag] viable/strict/1759405773 -> viable/strict/1759405773 2025-12-04T08:27:04.8040291Z * [new tag] viable/strict/1759408041 -> viable/strict/1759408041 2025-12-04T08:27:04.8040433Z * [new tag] viable/strict/1759411593 -> viable/strict/1759411593 2025-12-04T08:27:04.8040554Z * [new tag] viable/strict/1759427395 -> viable/strict/1759427395 2025-12-04T08:27:04.8046357Z * [new tag] viable/strict/1759434582 -> viable/strict/1759434582 2025-12-04T08:27:04.8046668Z * [new tag] viable/strict/1759436720 -> viable/strict/1759436720 2025-12-04T08:27:04.8046870Z * [new tag] viable/strict/1759440219 -> viable/strict/1759440219 2025-12-04T08:27:04.8047011Z * [new tag] viable/strict/1759441948 -> viable/strict/1759441948 2025-12-04T08:27:04.8047231Z * [new tag] viable/strict/1759443860 -> viable/strict/1759443860 2025-12-04T08:27:04.8047359Z * [new tag] viable/strict/1759445377 -> viable/strict/1759445377 2025-12-04T08:27:04.8047556Z * [new tag] viable/strict/1759447415 -> viable/strict/1759447415 2025-12-04T08:27:04.8048270Z * [new tag] viable/strict/1759451750 -> viable/strict/1759451750 2025-12-04T08:27:04.8048443Z * [new tag] viable/strict/1759453910 -> viable/strict/1759453910 2025-12-04T08:27:04.8048568Z * [new tag] viable/strict/1759456483 -> viable/strict/1759456483 2025-12-04T08:27:04.8048684Z * [new tag] viable/strict/1759459279 -> viable/strict/1759459279 2025-12-04T08:27:04.8048803Z * [new tag] viable/strict/1759460742 -> viable/strict/1759460742 2025-12-04T08:27:04.8048915Z * [new tag] viable/strict/1759462025 -> viable/strict/1759462025 2025-12-04T08:27:04.8049033Z * [new tag] viable/strict/1759469086 -> viable/strict/1759469086 2025-12-04T08:27:04.8049143Z * [new tag] viable/strict/1759470581 -> viable/strict/1759470581 2025-12-04T08:27:04.8049257Z * [new tag] viable/strict/1759472786 -> viable/strict/1759472786 2025-12-04T08:27:04.8049379Z * [new tag] viable/strict/1759476294 -> viable/strict/1759476294 2025-12-04T08:27:04.8052581Z * [new tag] viable/strict/1759479963 -> viable/strict/1759479963 2025-12-04T08:27:04.8052901Z * [new tag] viable/strict/1759492177 -> viable/strict/1759492177 2025-12-04T08:27:04.8053105Z * [new tag] viable/strict/1759519278 -> viable/strict/1759519278 2025-12-04T08:27:04.8053239Z * [new tag] viable/strict/1759524580 -> viable/strict/1759524580 2025-12-04T08:27:04.8053456Z * [new tag] viable/strict/1759528193 -> viable/strict/1759528193 2025-12-04T08:27:04.8053580Z * [new tag] viable/strict/1759533797 -> viable/strict/1759533797 2025-12-04T08:27:04.8057011Z * [new tag] viable/strict/1759542780 -> viable/strict/1759542780 2025-12-04T08:27:04.8057322Z * [new tag] viable/strict/1759549779 -> viable/strict/1759549779 2025-12-04T08:27:04.8057539Z * [new tag] viable/strict/1759555455 -> viable/strict/1759555455 2025-12-04T08:27:04.8057673Z * [new tag] viable/strict/1759559176 -> viable/strict/1759559176 2025-12-04T08:27:04.8058472Z * [new tag] viable/strict/1759560629 -> viable/strict/1759560629 2025-12-04T08:27:04.8058624Z * [new tag] viable/strict/1759569848 -> viable/strict/1759569848 2025-12-04T08:27:04.8058762Z * [new tag] viable/strict/1759571382 -> viable/strict/1759571382 2025-12-04T08:27:04.8058881Z * [new tag] viable/strict/1759573474 -> viable/strict/1759573474 2025-12-04T08:27:04.8058995Z * [new tag] viable/strict/1759618187 -> viable/strict/1759618187 2025-12-04T08:27:04.8059114Z * [new tag] viable/strict/1759626742 -> viable/strict/1759626742 2025-12-04T08:27:04.8059227Z * [new tag] viable/strict/1759632427 -> viable/strict/1759632427 2025-12-04T08:27:04.8059361Z * [new tag] viable/strict/1759634971 -> viable/strict/1759634971 2025-12-04T08:27:04.8059471Z * [new tag] viable/strict/1759661382 -> viable/strict/1759661382 2025-12-04T08:27:04.8059587Z * [new tag] viable/strict/1759663294 -> viable/strict/1759663294 2025-12-04T08:27:04.8059707Z * [new tag] viable/strict/1759708178 -> viable/strict/1759708178 2025-12-04T08:27:04.8063335Z * [new tag] viable/strict/1759715695 -> viable/strict/1759715695 2025-12-04T08:27:04.8063646Z * [new tag] viable/strict/1759728293 -> viable/strict/1759728293 2025-12-04T08:27:04.8063851Z * [new tag] viable/strict/1759735513 -> viable/strict/1759735513 2025-12-04T08:27:04.8063976Z * [new tag] viable/strict/1759739177 -> viable/strict/1759739177 2025-12-04T08:27:04.8064203Z * [new tag] viable/strict/1759758635 -> viable/strict/1759758635 2025-12-04T08:27:04.8064468Z * [new tag] viable/strict/1759765784 -> viable/strict/1759765784 2025-12-04T08:27:04.8065046Z * [new tag] viable/strict/1759767948 -> viable/strict/1759767948 2025-12-04T08:27:04.8065209Z * [new tag] viable/strict/1759771461 -> viable/strict/1759771461 2025-12-04T08:27:04.8065500Z * [new tag] viable/strict/1759776706 -> viable/strict/1759776706 2025-12-04T08:27:04.8065621Z * [new tag] viable/strict/1759782317 -> viable/strict/1759782317 2025-12-04T08:27:04.8065756Z * [new tag] viable/strict/1759783777 -> viable/strict/1759783777 2025-12-04T08:27:04.8065870Z * [new tag] viable/strict/1759785815 -> viable/strict/1759785815 2025-12-04T08:27:04.8065981Z * [new tag] viable/strict/1759789459 -> viable/strict/1759789459 2025-12-04T08:27:04.8066102Z * [new tag] viable/strict/1759790974 -> viable/strict/1759790974 2025-12-04T08:27:04.8066216Z * [new tag] viable/strict/1759794583 -> viable/strict/1759794583 2025-12-04T08:27:04.8066325Z * [new tag] viable/strict/1759797408 -> viable/strict/1759797408 2025-12-04T08:27:04.8066446Z * [new tag] viable/strict/1759799518 -> viable/strict/1759799518 2025-12-04T08:27:04.8071143Z * [new tag] viable/strict/1759804909 -> viable/strict/1759804909 2025-12-04T08:27:04.8071307Z * [new tag] viable/strict/1759807643 -> viable/strict/1759807643 2025-12-04T08:27:04.8071431Z * [new tag] viable/strict/1759809089 -> viable/strict/1759809089 2025-12-04T08:27:04.8071544Z * [new tag] viable/strict/1759811145 -> viable/strict/1759811145 2025-12-04T08:27:04.8071671Z * [new tag] viable/strict/1759812581 -> viable/strict/1759812581 2025-12-04T08:27:04.8071786Z * [new tag] viable/strict/1759814683 -> viable/strict/1759814683 2025-12-04T08:27:04.8071922Z * [new tag] viable/strict/1759821889 -> viable/strict/1759821889 2025-12-04T08:27:04.8072035Z * [new tag] viable/strict/1759823376 -> viable/strict/1759823376 2025-12-04T08:27:04.8072286Z * [new tag] viable/strict/1759827107 -> viable/strict/1759827107 2025-12-04T08:27:04.8072415Z * [new tag] viable/strict/1759830577 -> viable/strict/1759830577 2025-12-04T08:27:04.8072527Z * [new tag] viable/strict/1759832720 -> viable/strict/1759832720 2025-12-04T08:27:04.8072648Z * [new tag] viable/strict/1759842063 -> viable/strict/1759842063 2025-12-04T08:27:04.8072759Z * [new tag] viable/strict/1759847121 -> viable/strict/1759847121 2025-12-04T08:27:04.8072874Z * [new tag] viable/strict/1759850721 -> viable/strict/1759850721 2025-12-04T08:27:04.8073033Z * [new tag] viable/strict/1759857870 -> viable/strict/1759857870 2025-12-04T08:27:04.8078696Z * [new tag] viable/strict/1759863143 -> viable/strict/1759863143 2025-12-04T08:27:04.8079004Z * [new tag] viable/strict/1759875874 -> viable/strict/1759875874 2025-12-04T08:27:04.8079233Z * [new tag] viable/strict/1759877385 -> viable/strict/1759877385 2025-12-04T08:27:04.8079368Z * [new tag] viable/strict/1759883801 -> viable/strict/1759883801 2025-12-04T08:27:04.8079587Z * [new tag] viable/strict/1759885922 -> viable/strict/1759885922 2025-12-04T08:27:04.8080174Z * [new tag] viable/strict/1759888488 -> viable/strict/1759888488 2025-12-04T08:27:04.8080327Z * [new tag] viable/strict/1759895471 -> viable/strict/1759895471 2025-12-04T08:27:04.8080454Z * [new tag] viable/strict/1759904803 -> viable/strict/1759904803 2025-12-04T08:27:04.8080569Z * [new tag] viable/strict/1759908300 -> viable/strict/1759908300 2025-12-04T08:27:04.8080837Z * [new tag] viable/strict/1759915520 -> viable/strict/1759915520 2025-12-04T08:27:04.8080965Z * [new tag] viable/strict/1759916978 -> viable/strict/1759916978 2025-12-04T08:27:04.8081102Z * [new tag] viable/strict/1759930024 -> viable/strict/1759930024 2025-12-04T08:27:04.8081224Z * [new tag] viable/strict/1759948122 -> viable/strict/1759948122 2025-12-04T08:27:04.8081337Z * [new tag] viable/strict/1759952983 -> viable/strict/1759952983 2025-12-04T08:27:04.8081456Z * [new tag] viable/strict/1759955121 -> viable/strict/1759955121 2025-12-04T08:27:04.8081575Z * [new tag] viable/strict/1759962298 -> viable/strict/1759962298 2025-12-04T08:27:04.8082147Z * [new tag] viable/strict/1759965837 -> viable/strict/1759965837 2025-12-04T08:27:04.8082565Z * [new tag] viable/strict/1759970213 -> viable/strict/1759970213 2025-12-04T08:27:04.8083307Z * [new tag] viable/strict/1759974894 -> viable/strict/1759974894 2025-12-04T08:27:04.8083724Z * [new tag] viable/strict/1759977763 -> viable/strict/1759977763 2025-12-04T08:27:04.8084134Z * [new tag] viable/strict/1759979241 -> viable/strict/1759979241 2025-12-04T08:27:04.8085395Z * [new tag] viable/strict/1759985417 -> viable/strict/1759985417 2025-12-04T08:27:04.8085553Z * [new tag] viable/strict/1759987490 -> viable/strict/1759987490 2025-12-04T08:27:04.8085812Z * [new tag] viable/strict/1759996180 -> viable/strict/1759996180 2025-12-04T08:27:04.8087429Z * [new tag] viable/strict/1760065682 -> viable/strict/1760065682 2025-12-04T08:27:04.8087732Z * [new tag] viable/strict/1760066894 -> viable/strict/1760066894 2025-12-04T08:27:04.8087938Z * [new tag] viable/strict/1760070345 -> viable/strict/1760070345 2025-12-04T08:27:04.8088091Z * [new tag] viable/strict/1760089782 -> viable/strict/1760089782 2025-12-04T08:27:04.8088510Z * [new tag] viable/strict/1760091921 -> viable/strict/1760091921 2025-12-04T08:27:04.8089640Z * [new tag] viable/strict/1760127924 -> viable/strict/1760127924 2025-12-04T08:27:04.8089836Z * [new tag] viable/strict/1760129489 -> viable/strict/1760129489 2025-12-04T08:27:04.8090227Z * [new tag] viable/strict/1760132980 -> viable/strict/1760132980 2025-12-04T08:27:04.8092115Z * [new tag] viable/strict/1760135060 -> viable/strict/1760135060 2025-12-04T08:27:04.8092406Z * [new tag] viable/strict/1760215782 -> viable/strict/1760215782 2025-12-04T08:27:04.8092686Z * [new tag] viable/strict/1760273849 -> viable/strict/1760273849 2025-12-04T08:27:04.8092971Z * [new tag] viable/strict/1760275517 -> viable/strict/1760275517 2025-12-04T08:27:04.8094895Z * [new tag] viable/strict/1760276979 -> viable/strict/1760276979 2025-12-04T08:27:04.8095036Z * [new tag] viable/strict/1760279007 -> viable/strict/1760279007 2025-12-04T08:27:04.8095241Z * [new tag] viable/strict/1760286328 -> viable/strict/1760286328 2025-12-04T08:27:04.8095363Z * [new tag] viable/strict/1760493304 -> viable/strict/1760493304 2025-12-04T08:27:04.8095576Z * [new tag] viable/strict/1760496298 -> viable/strict/1760496298 2025-12-04T08:27:04.8095712Z * [new tag] viable/strict/1760518396 -> viable/strict/1760518396 2025-12-04T08:27:04.8100921Z * [new tag] viable/strict/1760534864 -> viable/strict/1760534864 2025-12-04T08:27:04.8101076Z * [new tag] viable/strict/1760549062 -> viable/strict/1760549062 2025-12-04T08:27:04.8101213Z * [new tag] viable/strict/1760552799 -> viable/strict/1760552799 2025-12-04T08:27:04.8101473Z * [new tag] viable/strict/1760554355 -> viable/strict/1760554355 2025-12-04T08:27:04.8101602Z * [new tag] viable/strict/1760556275 -> viable/strict/1760556275 2025-12-04T08:27:04.8101744Z * [new tag] viable/strict/1760564979 -> viable/strict/1760564979 2025-12-04T08:27:04.8101858Z * [new tag] viable/strict/1760567049 -> viable/strict/1760567049 2025-12-04T08:27:04.8101981Z * [new tag] viable/strict/1760568585 -> viable/strict/1760568585 2025-12-04T08:27:04.8102852Z * [new tag] viable/strict/1760570630 -> viable/strict/1760570630 2025-12-04T08:27:04.8103340Z * [new tag] viable/strict/1760572180 -> viable/strict/1760572180 2025-12-04T08:27:04.8103493Z * [new tag] viable/strict/1760575094 -> viable/strict/1760575094 2025-12-04T08:27:04.8103623Z * [new tag] viable/strict/1760579709 -> viable/strict/1760579709 2025-12-04T08:27:04.8103752Z * [new tag] viable/strict/1760582614 -> viable/strict/1760582614 2025-12-04T08:27:04.8103874Z * [new tag] viable/strict/1760586815 -> viable/strict/1760586815 2025-12-04T08:27:04.8103992Z * [new tag] viable/strict/1760588829 -> viable/strict/1760588829 2025-12-04T08:27:04.8106332Z * [new tag] viable/strict/1760590200 -> viable/strict/1760590200 2025-12-04T08:27:04.8106473Z * [new tag] viable/strict/1760592311 -> viable/strict/1760592311 2025-12-04T08:27:04.8106585Z * [new tag] viable/strict/1760619733 -> viable/strict/1760619733 2025-12-04T08:27:04.8106829Z * [new tag] viable/strict/1760628335 -> viable/strict/1760628335 2025-12-04T08:27:04.8106954Z * [new tag] viable/strict/1760635490 -> viable/strict/1760635490 2025-12-04T08:27:04.8107140Z * [new tag] viable/strict/1760640743 -> viable/strict/1760640743 2025-12-04T08:27:04.8107398Z * [new tag] viable/strict/1760642528 -> viable/strict/1760642528 2025-12-04T08:27:04.8107515Z * [new tag] viable/strict/1760646330 -> viable/strict/1760646330 2025-12-04T08:27:04.8109748Z * [new tag] viable/strict/1760666101 -> viable/strict/1760666101 2025-12-04T08:27:04.8109878Z * [new tag] viable/strict/1760668990 -> viable/strict/1760668990 2025-12-04T08:27:04.8110081Z * [new tag] viable/strict/1760670600 -> viable/strict/1760670600 2025-12-04T08:27:04.8110205Z * [new tag] viable/strict/1760671704 -> viable/strict/1760671704 2025-12-04T08:27:04.8110392Z * [new tag] viable/strict/1760673121 -> viable/strict/1760673121 2025-12-04T08:27:04.8110558Z * [new tag] viable/strict/1760675352 -> viable/strict/1760675352 2025-12-04T08:27:04.8110669Z * [new tag] viable/strict/1760696731 -> viable/strict/1760696731 2025-12-04T08:27:04.8113317Z * [new tag] viable/strict/1760723515 -> viable/strict/1760723515 2025-12-04T08:27:04.8113451Z * [new tag] viable/strict/1760727234 -> viable/strict/1760727234 2025-12-04T08:27:04.8113567Z * [new tag] viable/strict/1760730578 -> viable/strict/1760730578 2025-12-04T08:27:04.8113810Z * [new tag] viable/strict/1760732726 -> viable/strict/1760732726 2025-12-04T08:27:04.8113935Z * [new tag] viable/strict/1760734180 -> viable/strict/1760734180 2025-12-04T08:27:04.8118696Z * [new tag] viable/strict/1760736251 -> viable/strict/1760736251 2025-12-04T08:27:04.8118851Z * [new tag] viable/strict/1760737772 -> viable/strict/1760737772 2025-12-04T08:27:04.8118968Z * [new tag] viable/strict/1760758005 -> viable/strict/1760758005 2025-12-04T08:27:04.8119302Z * [new tag] viable/strict/1760761532 -> viable/strict/1760761532 2025-12-04T08:27:04.8119426Z * [new tag] viable/strict/1760802581 -> viable/strict/1760802581 2025-12-04T08:27:04.8119554Z * [new tag] viable/strict/1760827772 -> viable/strict/1760827772 2025-12-04T08:27:04.8119698Z * [new tag] viable/strict/1760834524 -> viable/strict/1760834524 2025-12-04T08:27:04.8119810Z * [new tag] viable/strict/1760845009 -> viable/strict/1760845009 2025-12-04T08:27:04.8119931Z * [new tag] viable/strict/1760876836 -> viable/strict/1760876836 2025-12-04T08:27:04.8120044Z * [new tag] viable/strict/1760880329 -> viable/strict/1760880329 2025-12-04T08:27:04.8120169Z * [new tag] viable/strict/1760888987 -> viable/strict/1760888987 2025-12-04T08:27:04.8120288Z * [new tag] viable/strict/1760912664 -> viable/strict/1760912664 2025-12-04T08:27:04.8120400Z * [new tag] viable/strict/1760925321 -> viable/strict/1760925321 2025-12-04T08:27:04.8120899Z * [new tag] viable/strict/1760931488 -> viable/strict/1760931488 2025-12-04T08:27:04.8121092Z * [new tag] viable/strict/1760932693 -> viable/strict/1760932693 2025-12-04T08:27:04.8122205Z * [new tag] viable/strict/1761004184 -> viable/strict/1761004184 2025-12-04T08:27:04.8122591Z * [new tag] viable/strict/1761014748 -> viable/strict/1761014748 2025-12-04T08:27:04.8123027Z * [new tag] viable/strict/1761017491 -> viable/strict/1761017491 2025-12-04T08:27:04.8126127Z * [new tag] viable/strict/1761018806 -> viable/strict/1761018806 2025-12-04T08:27:04.8126435Z * [new tag] viable/strict/1761020754 -> viable/strict/1761020754 2025-12-04T08:27:04.8126591Z * [new tag] viable/strict/1761024303 -> viable/strict/1761024303 2025-12-04T08:27:04.8126804Z * [new tag] viable/strict/1761029582 -> viable/strict/1761029582 2025-12-04T08:27:04.8126939Z * [new tag] viable/strict/1761031535 -> viable/strict/1761031535 2025-12-04T08:27:04.8127060Z * [new tag] viable/strict/1761035196 -> viable/strict/1761035196 2025-12-04T08:27:04.8127512Z * [new tag] viable/strict/1761045825 -> viable/strict/1761045825 2025-12-04T08:27:04.8128059Z * [new tag] viable/strict/1761054796 -> viable/strict/1761054796 2025-12-04T08:27:04.8128205Z * [new tag] viable/strict/1761060314 -> viable/strict/1761060314 2025-12-04T08:27:04.8128767Z * [new tag] viable/strict/1761071198 -> viable/strict/1761071198 2025-12-04T08:27:04.8129209Z * [new tag] viable/strict/1761074628 -> viable/strict/1761074628 2025-12-04T08:27:04.8132169Z * [new tag] viable/strict/1761078351 -> viable/strict/1761078351 2025-12-04T08:27:04.8132439Z * [new tag] viable/strict/1761079822 -> viable/strict/1761079822 2025-12-04T08:27:04.8132639Z * [new tag] viable/strict/1761081873 -> viable/strict/1761081873 2025-12-04T08:27:04.8132776Z * [new tag] viable/strict/1761083392 -> viable/strict/1761083392 2025-12-04T08:27:04.8133157Z * [new tag] viable/strict/1761085465 -> viable/strict/1761085465 2025-12-04T08:27:04.8133280Z * [new tag] viable/strict/1761089099 -> viable/strict/1761089099 2025-12-04T08:27:04.8133392Z * [new tag] viable/strict/1761095535 -> viable/strict/1761095535 2025-12-04T08:27:04.8133813Z * [new tag] viable/strict/1761098119 -> viable/strict/1761098119 2025-12-04T08:27:04.8137712Z * [new tag] viable/strict/1761101330 -> viable/strict/1761101330 2025-12-04T08:27:04.8138011Z * [new tag] viable/strict/1761114425 -> viable/strict/1761114425 2025-12-04T08:27:04.8138292Z * [new tag] viable/strict/1761116036 -> viable/strict/1761116036 2025-12-04T08:27:04.8138414Z * [new tag] viable/strict/1761119379 -> viable/strict/1761119379 2025-12-04T08:27:04.8138536Z * [new tag] viable/strict/1761121601 -> viable/strict/1761121601 2025-12-04T08:27:04.8138792Z * [new tag] viable/strict/1761123234 -> viable/strict/1761123234 2025-12-04T08:27:04.8139464Z * [new tag] viable/strict/1761126621 -> viable/strict/1761126621 2025-12-04T08:27:04.8139616Z * [new tag] viable/strict/1761132259 -> viable/strict/1761132259 2025-12-04T08:27:04.8139739Z * [new tag] viable/strict/1761146746 -> viable/strict/1761146746 2025-12-04T08:27:04.8139861Z * [new tag] viable/strict/1761164752 -> viable/strict/1761164752 2025-12-04T08:27:04.8139977Z * [new tag] viable/strict/1761166198 -> viable/strict/1761166198 2025-12-04T08:27:04.8140120Z * [new tag] viable/strict/1761175424 -> viable/strict/1761175424 2025-12-04T08:27:04.8140270Z * [new tag] viable/strict/1761176983 -> viable/strict/1761176983 2025-12-04T08:27:04.8141559Z * [new tag] viable/strict/1761179891 -> viable/strict/1761179891 2025-12-04T08:27:04.8141839Z * [new tag] viable/strict/1761181930 -> viable/strict/1761181930 2025-12-04T08:27:04.8141965Z * [new tag] viable/strict/1761184516 -> viable/strict/1761184516 2025-12-04T08:27:04.8143421Z * [new tag] viable/strict/1761190179 -> viable/strict/1761190179 2025-12-04T08:27:04.8143718Z * [new tag] viable/strict/1761193558 -> viable/strict/1761193558 2025-12-04T08:27:04.8143858Z * [new tag] viable/strict/1761207990 -> viable/strict/1761207990 2025-12-04T08:27:04.8144248Z * [new tag] viable/strict/1761229539 -> viable/strict/1761229539 2025-12-04T08:27:04.8148061Z * [new tag] viable/strict/1761244031 -> viable/strict/1761244031 2025-12-04T08:27:04.8148389Z * [new tag] viable/strict/1761248986 -> viable/strict/1761248986 2025-12-04T08:27:04.8148592Z * [new tag] viable/strict/1761259791 -> viable/strict/1761259791 2025-12-04T08:27:04.8148937Z * [new tag] viable/strict/1761266139 -> viable/strict/1761266139 2025-12-04T08:27:04.8151027Z * [new tag] viable/strict/1761268316 -> viable/strict/1761268316 2025-12-04T08:27:04.8151204Z * [new tag] viable/strict/1761273805 -> viable/strict/1761273805 2025-12-04T08:27:04.8151343Z * [new tag] viable/strict/1761275261 -> viable/strict/1761275261 2025-12-04T08:27:04.8151523Z * [new tag] viable/strict/1761277913 -> viable/strict/1761277913 2025-12-04T08:27:04.8151656Z * [new tag] viable/strict/1761290701 -> viable/strict/1761290701 2025-12-04T08:27:04.8151848Z * [new tag] viable/strict/1761294396 -> viable/strict/1761294396 2025-12-04T08:27:04.8151973Z * [new tag] viable/strict/1761303047 -> viable/strict/1761303047 2025-12-04T08:27:04.8152164Z * [new tag] viable/strict/1761335388 -> viable/strict/1761335388 2025-12-04T08:27:04.8152371Z * [new tag] viable/strict/1761337551 -> viable/strict/1761337551 2025-12-04T08:27:04.8152493Z * [new tag] viable/strict/1761339007 -> viable/strict/1761339007 2025-12-04T08:27:04.8154542Z * [new tag] viable/strict/1761341050 -> viable/strict/1761341050 2025-12-04T08:27:04.8154803Z * [new tag] viable/strict/1761346188 -> viable/strict/1761346188 2025-12-04T08:27:04.8159484Z * [new tag] viable/strict/1761349792 -> viable/strict/1761349792 2025-12-04T08:27:04.8159779Z * [new tag] viable/strict/1761352620 -> viable/strict/1761352620 2025-12-04T08:27:04.8160134Z * [new tag] viable/strict/1761354730 -> viable/strict/1761354730 2025-12-04T08:27:04.8160388Z * [new tag] viable/strict/1761357298 -> viable/strict/1761357298 2025-12-04T08:27:04.8161048Z * [new tag] viable/strict/1761360201 -> viable/strict/1761360201 2025-12-04T08:27:04.8161216Z * [new tag] viable/strict/1761361753 -> viable/strict/1761361753 2025-12-04T08:27:04.8161352Z * [new tag] viable/strict/1761364351 -> viable/strict/1761364351 2025-12-04T08:27:04.8161477Z * [new tag] viable/strict/1761366338 -> viable/strict/1761366338 2025-12-04T08:27:04.8161589Z * [new tag] viable/strict/1761367802 -> viable/strict/1761367802 2025-12-04T08:27:04.8161712Z * [new tag] viable/strict/1761369889 -> viable/strict/1761369889 2025-12-04T08:27:04.8161826Z * [new tag] viable/strict/1761371385 -> viable/strict/1761371385 2025-12-04T08:27:04.8162029Z * [new tag] viable/strict/1761373581 -> viable/strict/1761373581 2025-12-04T08:27:04.8162160Z * [new tag] viable/strict/1761375054 -> viable/strict/1761375054 2025-12-04T08:27:04.8163261Z * [new tag] viable/strict/1761421785 -> viable/strict/1761421785 2025-12-04T08:27:04.8163462Z * [new tag] viable/strict/1761434614 -> viable/strict/1761434614 2025-12-04T08:27:04.8163605Z * [new tag] viable/strict/1761439254 -> viable/strict/1761439254 2025-12-04T08:27:04.8163802Z * [new tag] viable/strict/1761454187 -> viable/strict/1761454187 2025-12-04T08:27:04.8168498Z * [new tag] viable/strict/1761459991 -> viable/strict/1761459991 2025-12-04T08:27:04.8171947Z * [new tag] viable/strict/1761470668 -> viable/strict/1761470668 2025-12-04T08:27:04.8175628Z * [new tag] viable/strict/1761472188 -> viable/strict/1761472188 2025-12-04T08:27:04.8177643Z * [new tag] viable/strict/1761503178 -> viable/strict/1761503178 2025-12-04T08:27:04.8177839Z * [new tag] viable/strict/1761517492 -> viable/strict/1761517492 2025-12-04T08:27:04.8177962Z * [new tag] viable/strict/1761518981 -> viable/strict/1761518981 2025-12-04T08:27:04.8178235Z * [new tag] viable/strict/1761533609 -> viable/strict/1761533609 2025-12-04T08:27:04.8178351Z * [new tag] viable/strict/1761546438 -> viable/strict/1761546438 2025-12-04T08:27:04.8178477Z * [new tag] viable/strict/1761548133 -> viable/strict/1761548133 2025-12-04T08:27:04.8178593Z * [new tag] viable/strict/1761555186 -> viable/strict/1761555186 2025-12-04T08:27:04.8178706Z * [new tag] viable/strict/1761557178 -> viable/strict/1761557178 2025-12-04T08:27:04.8178830Z * [new tag] viable/strict/1761560772 -> viable/strict/1761560772 2025-12-04T08:27:04.8178965Z * [new tag] viable/strict/1761562266 -> viable/strict/1761562266 2025-12-04T08:27:04.8179085Z * [new tag] viable/strict/1761564260 -> viable/strict/1761564260 2025-12-04T08:27:04.8179194Z * [new tag] viable/strict/1761568072 -> viable/strict/1761568072 2025-12-04T08:27:04.8179307Z * [new tag] viable/strict/1761571683 -> viable/strict/1761571683 2025-12-04T08:27:04.8179423Z * [new tag] viable/strict/1761580199 -> viable/strict/1761580199 2025-12-04T08:27:04.8179533Z * [new tag] viable/strict/1761587383 -> viable/strict/1761587383 2025-12-04T08:27:04.8179642Z * [new tag] viable/strict/1761591165 -> viable/strict/1761591165 2025-12-04T08:27:04.8179757Z * [new tag] viable/strict/1761594575 -> viable/strict/1761594575 2025-12-04T08:27:04.8179865Z * [new tag] viable/strict/1761596710 -> viable/strict/1761596710 2025-12-04T08:27:04.8180032Z * [new tag] viable/strict/1761598189 -> viable/strict/1761598189 2025-12-04T08:27:04.8180147Z * [new tag] viable/strict/1761600254 -> viable/strict/1761600254 2025-12-04T08:27:04.8180258Z * [new tag] viable/strict/1761603879 -> viable/strict/1761603879 2025-12-04T08:27:04.8180379Z * [new tag] viable/strict/1761605429 -> viable/strict/1761605429 2025-12-04T08:27:04.8181181Z * [new tag] viable/strict/1761607468 -> viable/strict/1761607468 2025-12-04T08:27:04.8181301Z * [new tag] viable/strict/1761608983 -> viable/strict/1761608983 2025-12-04T08:27:04.8181498Z * [new tag] viable/strict/1761611846 -> viable/strict/1761611846 2025-12-04T08:27:04.8181659Z * [new tag] viable/strict/1761613922 -> viable/strict/1761613922 2025-12-04T08:27:04.8181776Z * [new tag] viable/strict/1761616504 -> viable/strict/1761616504 2025-12-04T08:27:04.8181957Z * [new tag] viable/strict/1761619599 -> viable/strict/1761619599 2025-12-04T08:27:04.8186569Z * [new tag] viable/strict/1761686693 -> viable/strict/1761686693 2025-12-04T08:27:04.8188470Z * [new tag] viable/strict/1761688179 -> viable/strict/1761688179 2025-12-04T08:27:04.8188745Z * [new tag] viable/strict/1761691973 -> viable/strict/1761691973 2025-12-04T08:27:04.8191557Z * [new tag] viable/strict/1761693884 -> viable/strict/1761693884 2025-12-04T08:27:04.8191717Z * [new tag] viable/strict/1761695389 -> viable/strict/1761695389 2025-12-04T08:27:04.8191833Z * [new tag] viable/strict/1761698408 -> viable/strict/1761698408 2025-12-04T08:27:04.8191950Z * [new tag] viable/strict/1761702931 -> viable/strict/1761702931 2025-12-04T08:27:04.8192070Z * [new tag] viable/strict/1761706307 -> viable/strict/1761706307 2025-12-04T08:27:04.8192211Z * [new tag] viable/strict/1761709065 -> viable/strict/1761709065 2025-12-04T08:27:04.8192325Z * [new tag] viable/strict/1761710285 -> viable/strict/1761710285 2025-12-04T08:27:04.8192447Z * [new tag] viable/strict/1761711983 -> viable/strict/1761711983 2025-12-04T08:27:04.8192708Z * [new tag] viable/strict/1761713514 -> viable/strict/1761713514 2025-12-04T08:27:04.8192828Z * [new tag] viable/strict/1761715523 -> viable/strict/1761715523 2025-12-04T08:27:04.8192939Z * [new tag] viable/strict/1761727973 -> viable/strict/1761727973 2025-12-04T08:27:04.8193049Z * [new tag] viable/strict/1761751558 -> viable/strict/1761751558 2025-12-04T08:27:04.8193169Z * [new tag] viable/strict/1761755187 -> viable/strict/1761755187 2025-12-04T08:27:04.8193281Z * [new tag] viable/strict/1761756826 -> viable/strict/1761756826 2025-12-04T08:27:04.8194710Z * [new tag] viable/strict/1761769551 -> viable/strict/1761769551 2025-12-04T08:27:04.8195216Z * [new tag] viable/strict/1761771032 -> viable/strict/1761771032 2025-12-04T08:27:04.8195369Z * [new tag] viable/strict/1761773101 -> viable/strict/1761773101 2025-12-04T08:27:04.8195505Z * [new tag] viable/strict/1761781792 -> viable/strict/1761781792 2025-12-04T08:27:04.8195619Z * [new tag] viable/strict/1761784788 -> viable/strict/1761784788 2025-12-04T08:27:04.8195740Z * [new tag] viable/strict/1761786740 -> viable/strict/1761786740 2025-12-04T08:27:04.8198971Z * [new tag] viable/strict/1761789332 -> viable/strict/1761789332 2025-12-04T08:27:04.8199120Z * [new tag] viable/strict/1761792569 -> viable/strict/1761792569 2025-12-04T08:27:04.8199241Z * [new tag] viable/strict/1761795289 -> viable/strict/1761795289 2025-12-04T08:27:04.8199526Z * [new tag] viable/strict/1761798345 -> viable/strict/1761798345 2025-12-04T08:27:04.8199654Z * [new tag] viable/strict/1761799827 -> viable/strict/1761799827 2025-12-04T08:27:04.8199774Z * [new tag] viable/strict/1761805604 -> viable/strict/1761805604 2025-12-04T08:27:04.8200330Z * [new tag] viable/strict/1761807202 -> viable/strict/1761807202 2025-12-04T08:27:04.8200474Z * [new tag] viable/strict/1761809094 -> viable/strict/1761809094 2025-12-04T08:27:04.8201056Z * [new tag] viable/strict/1761810576 -> viable/strict/1761810576 2025-12-04T08:27:04.8201888Z * [new tag] viable/strict/1761812771 -> viable/strict/1761812771 2025-12-04T08:27:04.8202252Z * [new tag] viable/strict/1761814363 -> viable/strict/1761814363 2025-12-04T08:27:04.8203179Z * [new tag] viable/strict/1761857410 -> viable/strict/1761857410 2025-12-04T08:27:04.8203430Z * [new tag] viable/strict/1761860985 -> viable/strict/1761860985 2025-12-04T08:27:04.8205742Z * [new tag] viable/strict/1761863094 -> viable/strict/1761863094 2025-12-04T08:27:04.8205888Z * [new tag] viable/strict/1761864590 -> viable/strict/1761864590 2025-12-04T08:27:04.8206018Z * [new tag] viable/strict/1761866675 -> viable/strict/1761866675 2025-12-04T08:27:04.8206141Z * [new tag] viable/strict/1761868178 -> viable/strict/1761868178 2025-12-04T08:27:04.8206538Z * [new tag] viable/strict/1761871111 -> viable/strict/1761871111 2025-12-04T08:27:04.8209534Z * [new tag] viable/strict/1761873126 -> viable/strict/1761873126 2025-12-04T08:27:04.8209846Z * [new tag] viable/strict/1761875714 -> viable/strict/1761875714 2025-12-04T08:27:04.8210020Z * [new tag] viable/strict/1761878924 -> viable/strict/1761878924 2025-12-04T08:27:04.8210228Z * [new tag] viable/strict/1761881727 -> viable/strict/1761881727 2025-12-04T08:27:04.8210384Z * [new tag] viable/strict/1761882959 -> viable/strict/1761882959 2025-12-04T08:27:04.8211008Z * [new tag] viable/strict/1761886268 -> viable/strict/1761886268 2025-12-04T08:27:04.8211309Z * [new tag] viable/strict/1761893641 -> viable/strict/1761893641 2025-12-04T08:27:04.8211430Z * [new tag] viable/strict/1761931517 -> viable/strict/1761931517 2025-12-04T08:27:04.8212278Z * [new tag] viable/strict/1761933080 -> viable/strict/1761933080 2025-12-04T08:27:04.8212413Z * [new tag] viable/strict/1761935217 -> viable/strict/1761935217 2025-12-04T08:27:04.8215796Z * [new tag] viable/strict/1761938533 -> viable/strict/1761938533 2025-12-04T08:27:04.8215960Z * [new tag] viable/strict/1761940184 -> viable/strict/1761940184 2025-12-04T08:27:04.8216101Z * [new tag] viable/strict/1761942338 -> viable/strict/1761942338 2025-12-04T08:27:04.8216216Z * [new tag] viable/strict/1761946100 -> viable/strict/1761946100 2025-12-04T08:27:04.8216328Z * [new tag] viable/strict/1761947374 -> viable/strict/1761947374 2025-12-04T08:27:04.8220804Z * [new tag] viable/strict/1761950978 -> viable/strict/1761950978 2025-12-04T08:27:04.8224746Z * [new tag] viable/strict/1761957727 -> viable/strict/1761957727 2025-12-04T08:27:04.8226466Z * [new tag] viable/strict/1761959532 -> viable/strict/1761959532 2025-12-04T08:27:04.8226719Z * [new tag] viable/strict/1761965366 -> viable/strict/1761965366 2025-12-04T08:27:04.8229988Z * [new tag] viable/strict/1761968066 -> viable/strict/1761968066 2025-12-04T08:27:04.8230146Z * [new tag] viable/strict/1761969322 -> viable/strict/1761969322 2025-12-04T08:27:04.8230451Z * [new tag] viable/strict/1761974723 -> viable/strict/1761974723 2025-12-04T08:27:04.8230580Z * [new tag] viable/strict/1761981837 -> viable/strict/1761981837 2025-12-04T08:27:04.8230693Z * [new tag] viable/strict/1761985546 -> viable/strict/1761985546 2025-12-04T08:27:04.8230819Z * [new tag] viable/strict/1761987030 -> viable/strict/1761987030 2025-12-04T08:27:04.8230930Z * [new tag] viable/strict/1762003554 -> viable/strict/1762003554 2025-12-04T08:27:04.8231045Z * [new tag] viable/strict/1762021560 -> viable/strict/1762021560 2025-12-04T08:27:04.8231164Z * [new tag] viable/strict/1762032190 -> viable/strict/1762032190 2025-12-04T08:27:04.8231277Z * [new tag] viable/strict/1762040981 -> viable/strict/1762040981 2025-12-04T08:27:04.8231397Z * [new tag] viable/strict/1762048525 -> viable/strict/1762048525 2025-12-04T08:27:04.8231510Z * [new tag] viable/strict/1762104223 -> viable/strict/1762104223 2025-12-04T08:27:04.8231623Z * [new tag] viable/strict/1762105778 -> viable/strict/1762105778 2025-12-04T08:27:04.8231739Z * [new tag] viable/strict/1762115109 -> viable/strict/1762115109 2025-12-04T08:27:04.8231851Z * [new tag] viable/strict/1762125840 -> viable/strict/1762125840 2025-12-04T08:27:04.8231961Z * [new tag] viable/strict/1762127377 -> viable/strict/1762127377 2025-12-04T08:27:04.8232079Z * [new tag] viable/strict/1762134925 -> viable/strict/1762134925 2025-12-04T08:27:04.8232190Z * [new tag] viable/strict/1762138338 -> viable/strict/1762138338 2025-12-04T08:27:04.8232310Z * [new tag] viable/strict/1762148993 -> viable/strict/1762148993 2025-12-04T08:27:04.8232421Z * [new tag] viable/strict/1762152871 -> viable/strict/1762152871 2025-12-04T08:27:04.8232533Z * [new tag] viable/strict/1762156183 -> viable/strict/1762156183 2025-12-04T08:27:04.8232652Z * [new tag] viable/strict/1762163457 -> viable/strict/1762163457 2025-12-04T08:27:04.8232945Z * [new tag] viable/strict/1762165569 -> viable/strict/1762165569 2025-12-04T08:27:04.8233317Z * [new tag] viable/strict/1762169035 -> viable/strict/1762169035 2025-12-04T08:27:04.8234286Z * [new tag] viable/strict/1762174936 -> viable/strict/1762174936 2025-12-04T08:27:04.8234534Z * [new tag] viable/strict/1762194412 -> viable/strict/1762194412 2025-12-04T08:27:04.8236616Z * [new tag] viable/strict/1762195876 -> viable/strict/1762195876 2025-12-04T08:27:04.8236924Z * [new tag] viable/strict/1762197788 -> viable/strict/1762197788 2025-12-04T08:27:04.8237130Z * [new tag] viable/strict/1762199389 -> viable/strict/1762199389 2025-12-04T08:27:04.8237274Z * [new tag] viable/strict/1762206585 -> viable/strict/1762206585 2025-12-04T08:27:04.8238210Z * [new tag] viable/strict/1762210184 -> viable/strict/1762210184 2025-12-04T08:27:04.8238477Z * [new tag] viable/strict/1762218736 -> viable/strict/1762218736 2025-12-04T08:27:04.8239024Z * [new tag] viable/strict/1762224529 -> viable/strict/1762224529 2025-12-04T08:27:04.8239802Z * [new tag] viable/strict/1762227253 -> viable/strict/1762227253 2025-12-04T08:27:04.8240037Z * [new tag] viable/strict/1762228515 -> viable/strict/1762228515 2025-12-04T08:27:04.8241702Z * [new tag] viable/strict/1762230349 -> viable/strict/1762230349 2025-12-04T08:27:04.8241853Z * [new tag] viable/strict/1762231859 -> viable/strict/1762231859 2025-12-04T08:27:04.8242090Z * [new tag] viable/strict/1762233925 -> viable/strict/1762233925 2025-12-04T08:27:04.8243077Z * [new tag] viable/strict/1762237630 -> viable/strict/1762237630 2025-12-04T08:27:04.8243325Z * [new tag] viable/strict/1762253522 -> viable/strict/1762253522 2025-12-04T08:27:04.8245431Z * [new tag] viable/strict/1762278588 -> viable/strict/1762278588 2025-12-04T08:27:04.8245745Z * [new tag] viable/strict/1762284203 -> viable/strict/1762284203 2025-12-04T08:27:04.8245954Z * [new tag] viable/strict/1762289446 -> viable/strict/1762289446 2025-12-04T08:27:04.8246087Z * [new tag] viable/strict/1762291515 -> viable/strict/1762291515 2025-12-04T08:27:04.8246423Z * [new tag] viable/strict/1762295100 -> viable/strict/1762295100 2025-12-04T08:27:04.8247203Z * [new tag] viable/strict/1762296590 -> viable/strict/1762296590 2025-12-04T08:27:04.8247424Z * [new tag] viable/strict/1762300179 -> viable/strict/1762300179 2025-12-04T08:27:04.8250622Z * [new tag] viable/strict/1762303207 -> viable/strict/1762303207 2025-12-04T08:27:04.8250778Z * [new tag] viable/strict/1762386584 -> viable/strict/1762386584 2025-12-04T08:27:04.8250907Z * [new tag] viable/strict/1762391537 -> viable/strict/1762391537 2025-12-04T08:27:04.8251051Z * [new tag] viable/strict/1762394119 -> viable/strict/1762394119 2025-12-04T08:27:04.8251171Z * [new tag] viable/strict/1762397437 -> viable/strict/1762397437 2025-12-04T08:27:04.8251453Z * [new tag] viable/strict/1762400256 -> viable/strict/1762400256 2025-12-04T08:27:04.8251596Z * [new tag] viable/strict/1762401469 -> viable/strict/1762401469 2025-12-04T08:27:04.8253458Z * [new tag] viable/strict/1762408195 -> viable/strict/1762408195 2025-12-04T08:27:04.8253616Z * [new tag] viable/strict/1762410411 -> viable/strict/1762410411 2025-12-04T08:27:04.8253759Z * [new tag] viable/strict/1762417613 -> viable/strict/1762417613 2025-12-04T08:27:04.8254527Z * [new tag] viable/strict/1762419198 -> viable/strict/1762419198 2025-12-04T08:27:04.8254673Z * [new tag] viable/strict/1762422656 -> viable/strict/1762422656 2025-12-04T08:27:04.8258656Z * [new tag] viable/strict/1762424746 -> viable/strict/1762424746 2025-12-04T08:27:04.8258810Z * [new tag] viable/strict/1762446386 -> viable/strict/1762446386 2025-12-04T08:27:04.8258937Z * [new tag] viable/strict/1762449912 -> viable/strict/1762449912 2025-12-04T08:27:04.8259052Z * [new tag] viable/strict/1762457031 -> viable/strict/1762457031 2025-12-04T08:27:04.8259167Z * [new tag] viable/strict/1762462441 -> viable/strict/1762462441 2025-12-04T08:27:04.8259292Z * [new tag] viable/strict/1762467909 -> viable/strict/1762467909 2025-12-04T08:27:04.8259560Z * [new tag] viable/strict/1762471493 -> viable/strict/1762471493 2025-12-04T08:27:04.8259969Z * [new tag] viable/strict/1762475990 -> viable/strict/1762475990 2025-12-04T08:27:04.8263994Z * [new tag] viable/strict/1762477933 -> viable/strict/1762477933 2025-12-04T08:27:04.8264307Z * [new tag] viable/strict/1762491053 -> viable/strict/1762491053 2025-12-04T08:27:04.8264516Z * [new tag] viable/strict/1762493118 -> viable/strict/1762493118 2025-12-04T08:27:04.8264648Z * [new tag] viable/strict/1762498442 -> viable/strict/1762498442 2025-12-04T08:27:04.8264771Z * [new tag] viable/strict/1762501778 -> viable/strict/1762501778 2025-12-04T08:27:04.8265012Z * [new tag] viable/strict/1762504001 -> viable/strict/1762504001 2025-12-04T08:27:04.8265127Z * [new tag] viable/strict/1762505583 -> viable/strict/1762505583 2025-12-04T08:27:04.8265780Z * [new tag] viable/strict/1762507523 -> viable/strict/1762507523 2025-12-04T08:27:04.8266101Z * [new tag] viable/strict/1762511140 -> viable/strict/1762511140 2025-12-04T08:27:04.8266424Z * [new tag] viable/strict/1762512632 -> viable/strict/1762512632 2025-12-04T08:27:04.8270290Z * [new tag] viable/strict/1762520467 -> viable/strict/1762520467 2025-12-04T08:27:04.8270606Z * [new tag] viable/strict/1762522016 -> viable/strict/1762522016 2025-12-04T08:27:04.8270815Z * [new tag] viable/strict/1762530591 -> viable/strict/1762530591 2025-12-04T08:27:04.8270969Z * [new tag] viable/strict/1762543405 -> viable/strict/1762543405 2025-12-04T08:27:04.8271085Z * [new tag] viable/strict/1762544998 -> viable/strict/1762544998 2025-12-04T08:27:04.8271209Z * [new tag] viable/strict/1762552182 -> viable/strict/1762552182 2025-12-04T08:27:04.8271469Z * [new tag] viable/strict/1762554297 -> viable/strict/1762554297 2025-12-04T08:27:04.8272049Z * [new tag] viable/strict/1762559381 -> viable/strict/1762559381 2025-12-04T08:27:04.8272204Z * [new tag] viable/strict/1762562222 -> viable/strict/1762562222 2025-12-04T08:27:04.8272560Z * [new tag] viable/strict/1762564319 -> viable/strict/1762564319 2025-12-04T08:27:04.8273697Z * [new tag] viable/strict/1762566904 -> viable/strict/1762566904 2025-12-04T08:27:04.8274010Z * [new tag] viable/strict/1762569781 -> viable/strict/1762569781 2025-12-04T08:27:04.8274231Z * [new tag] viable/strict/1762575940 -> viable/strict/1762575940 2025-12-04T08:27:04.8275832Z * [new tag] viable/strict/1762580974 -> viable/strict/1762580974 2025-12-04T08:27:04.8276142Z * [new tag] viable/strict/1762583185 -> viable/strict/1762583185 2025-12-04T08:27:04.8276367Z * [new tag] viable/strict/1762586647 -> viable/strict/1762586647 2025-12-04T08:27:04.8276634Z * [new tag] viable/strict/1762588183 -> viable/strict/1762588183 2025-12-04T08:27:04.8278042Z * [new tag] viable/strict/1762593886 -> viable/strict/1762593886 2025-12-04T08:27:04.8278337Z * [new tag] viable/strict/1762650743 -> viable/strict/1762650743 2025-12-04T08:27:04.8278498Z * [new tag] viable/strict/1762653328 -> viable/strict/1762653328 2025-12-04T08:27:04.8279702Z * [new tag] viable/strict/1762659342 -> viable/strict/1762659342 2025-12-04T08:27:04.8280023Z * [new tag] viable/strict/1762662360 -> viable/strict/1762662360 2025-12-04T08:27:04.8280284Z * [new tag] viable/strict/1762667377 -> viable/strict/1762667377 2025-12-04T08:27:04.8281637Z * [new tag] viable/strict/1762671090 -> viable/strict/1762671090 2025-12-04T08:27:04.8281821Z * [new tag] viable/strict/1762680284 -> viable/strict/1762680284 2025-12-04T08:27:04.8282286Z * [new tag] viable/strict/1762683900 -> viable/strict/1762683900 2025-12-04T08:27:04.8282895Z * [new tag] viable/strict/1762705541 -> viable/strict/1762705541 2025-12-04T08:27:04.8283427Z * [new tag] viable/strict/1762709004 -> viable/strict/1762709004 2025-12-04T08:27:04.8286602Z * [new tag] viable/strict/1762746004 -> viable/strict/1762746004 2025-12-04T08:27:04.8286906Z * [new tag] viable/strict/1762748799 -> viable/strict/1762748799 2025-12-04T08:27:04.8287108Z * [new tag] viable/strict/1762759504 -> viable/strict/1762759504 2025-12-04T08:27:04.8287243Z * [new tag] viable/strict/1762760973 -> viable/strict/1762760973 2025-12-04T08:27:04.8287456Z * [new tag] viable/strict/1762775374 -> viable/strict/1762775374 2025-12-04T08:27:04.8287738Z * [new tag] viable/strict/1762777661 -> viable/strict/1762777661 2025-12-04T08:27:04.8287869Z * [new tag] viable/strict/1762779774 -> viable/strict/1762779774 2025-12-04T08:27:04.8289754Z * [new tag] viable/strict/1762781259 -> viable/strict/1762781259 2025-12-04T08:27:04.8290054Z * [new tag] viable/strict/1762793628 -> viable/strict/1762793628 2025-12-04T08:27:04.8290264Z * [new tag] viable/strict/1762800711 -> viable/strict/1762800711 2025-12-04T08:27:04.8290399Z * [new tag] viable/strict/1762809894 -> viable/strict/1762809894 2025-12-04T08:27:04.8291514Z * [new tag] viable/strict/1762811384 -> viable/strict/1762811384 2025-12-04T08:27:04.8291811Z * [new tag] viable/strict/1762813841 -> viable/strict/1762813841 2025-12-04T08:27:04.8292126Z * [new tag] viable/strict/1762815047 -> viable/strict/1762815047 2025-12-04T08:27:04.8294173Z * [new tag] viable/strict/1762817094 -> viable/strict/1762817094 2025-12-04T08:27:04.8294465Z * [new tag] viable/strict/1762818582 -> viable/strict/1762818582 2025-12-04T08:27:04.8294678Z * [new tag] viable/strict/1762821623 -> viable/strict/1762821623 2025-12-04T08:27:04.8294807Z * [new tag] viable/strict/1762823531 -> viable/strict/1762823531 2025-12-04T08:27:04.8295238Z * [new tag] viable/strict/1762849583 -> viable/strict/1762849583 2025-12-04T08:27:04.8296546Z * [new tag] viable/strict/1762851200 -> viable/strict/1762851200 2025-12-04T08:27:04.8296673Z * [new tag] viable/strict/1762854603 -> viable/strict/1762854603 2025-12-04T08:27:04.8297017Z * [new tag] viable/strict/1762858276 -> viable/strict/1762858276 2025-12-04T08:27:04.8298841Z * [new tag] viable/strict/1762860891 -> viable/strict/1762860891 2025-12-04T08:27:04.8299168Z * [new tag] viable/strict/1762866174 -> viable/strict/1762866174 2025-12-04T08:27:04.8299374Z * [new tag] viable/strict/1762867653 -> viable/strict/1762867653 2025-12-04T08:27:04.8299894Z * [new tag] viable/strict/1762872669 -> viable/strict/1762872669 2025-12-04T08:27:04.8300504Z * [new tag] viable/strict/1762878380 -> viable/strict/1762878380 2025-12-04T08:27:04.8303680Z * [new tag] viable/strict/1762889003 -> viable/strict/1762889003 2025-12-04T08:27:04.8303990Z * [new tag] viable/strict/1762890589 -> viable/strict/1762890589 2025-12-04T08:27:04.8304187Z * [new tag] viable/strict/1762892743 -> viable/strict/1762892743 2025-12-04T08:27:04.8304314Z * [new tag] viable/strict/1762894271 -> viable/strict/1762894271 2025-12-04T08:27:04.8304532Z * [new tag] viable/strict/1762896287 -> viable/strict/1762896287 2025-12-04T08:27:04.8304656Z * [new tag] viable/strict/1762915871 -> viable/strict/1762915871 2025-12-04T08:27:04.8305226Z * [new tag] viable/strict/1762918569 -> viable/strict/1762918569 2025-12-04T08:27:04.8305538Z * [new tag] viable/strict/1762919776 -> viable/strict/1762919776 2025-12-04T08:27:04.8305835Z * [new tag] viable/strict/1762923072 -> viable/strict/1762923072 2025-12-04T08:27:04.8309629Z * [new tag] viable/strict/1762928826 -> viable/strict/1762928826 2025-12-04T08:27:04.8309927Z * [new tag] viable/strict/1762930451 -> viable/strict/1762930451 2025-12-04T08:27:04.8310142Z * [new tag] viable/strict/1762933780 -> viable/strict/1762933780 2025-12-04T08:27:04.8310286Z * [new tag] viable/strict/1762937638 -> viable/strict/1762937638 2025-12-04T08:27:04.8310402Z * [new tag] viable/strict/1762939545 -> viable/strict/1762939545 2025-12-04T08:27:04.8310799Z * [new tag] viable/strict/1762962692 -> viable/strict/1762962692 2025-12-04T08:27:04.8310928Z * [new tag] viable/strict/1762979143 -> viable/strict/1762979143 2025-12-04T08:27:04.8311264Z * [new tag] viable/strict/1762984188 -> viable/strict/1762984188 2025-12-04T08:27:04.8312374Z * [new tag] viable/strict/1762986306 -> viable/strict/1762986306 2025-12-04T08:27:04.8315206Z * [new tag] viable/strict/1762989903 -> viable/strict/1762989903 2025-12-04T08:27:04.8317670Z * [new tag] viable/strict/1762991377 -> viable/strict/1762991377 2025-12-04T08:27:04.8317825Z * [new tag] viable/strict/1762998921 -> viable/strict/1762998921 2025-12-04T08:27:04.8317941Z * [new tag] viable/strict/1763002287 -> viable/strict/1763002287 2025-12-04T08:27:04.8318054Z * [new tag] viable/strict/1763016840 -> viable/strict/1763016840 2025-12-04T08:27:04.8318187Z * [new tag] viable/strict/1763020180 -> viable/strict/1763020180 2025-12-04T08:27:04.8318301Z * [new tag] viable/strict/1763027421 -> viable/strict/1763027421 2025-12-04T08:27:04.8318426Z * [new tag] viable/strict/1763031120 -> viable/strict/1763031120 2025-12-04T08:27:04.8318542Z * [new tag] viable/strict/1763036861 -> viable/strict/1763036861 2025-12-04T08:27:04.8318818Z * [new tag] viable/strict/1763038993 -> viable/strict/1763038993 2025-12-04T08:27:04.8319493Z * [new tag] viable/strict/1763054703 -> viable/strict/1763054703 2025-12-04T08:27:04.8319646Z * [new tag] viable/strict/1763067061 -> viable/strict/1763067061 2025-12-04T08:27:04.8320420Z * [new tag] viable/strict/1763070847 -> viable/strict/1763070847 2025-12-04T08:27:04.8320929Z * [new tag] viable/strict/1763072706 -> viable/strict/1763072706 2025-12-04T08:27:04.8321955Z * [new tag] viable/strict/1763076302 -> viable/strict/1763076302 2025-12-04T08:27:04.8322269Z * [new tag] viable/strict/1763080816 -> viable/strict/1763080816 2025-12-04T08:27:04.8322773Z * [new tag] viable/strict/1763082732 -> viable/strict/1763082732 2025-12-04T08:27:04.8325130Z * [new tag] viable/strict/1763085329 -> viable/strict/1763085329 2025-12-04T08:27:04.8325438Z * [new tag] viable/strict/1763088623 -> viable/strict/1763088623 2025-12-04T08:27:04.8329217Z * [new tag] viable/strict/1763091402 -> viable/strict/1763091402 2025-12-04T08:27:04.8329548Z * [new tag] viable/strict/1763092602 -> viable/strict/1763092602 2025-12-04T08:27:04.8329721Z * [new tag] viable/strict/1763094355 -> viable/strict/1763094355 2025-12-04T08:27:04.8329863Z * [new tag] viable/strict/1763099390 -> viable/strict/1763099390 2025-12-04T08:27:04.8330011Z * [new tag] viable/strict/1763101608 -> viable/strict/1763101608 2025-12-04T08:27:04.8330202Z * [new tag] viable/strict/1763105102 -> viable/strict/1763105102 2025-12-04T08:27:04.8330339Z * [new tag] viable/strict/1763112347 -> viable/strict/1763112347 2025-12-04T08:27:04.8331053Z * [new tag] viable/strict/1763119471 -> viable/strict/1763119471 2025-12-04T08:27:04.8331365Z * [new tag] viable/strict/1763126835 -> viable/strict/1763126835 2025-12-04T08:27:04.8331502Z * [new tag] viable/strict/1763149779 -> viable/strict/1763149779 2025-12-04T08:27:04.8331717Z * [new tag] viable/strict/1763164178 -> viable/strict/1763164178 2025-12-04T08:27:04.8331857Z * [new tag] viable/strict/1763167104 -> viable/strict/1763167104 2025-12-04T08:27:04.8331984Z * [new tag] viable/strict/1763169132 -> viable/strict/1763169132 2025-12-04T08:27:04.8333448Z * [new tag] viable/strict/1763171708 -> viable/strict/1763171708 2025-12-04T08:27:04.8333588Z * [new tag] viable/strict/1763174759 -> viable/strict/1763174759 2025-12-04T08:27:04.8333727Z * [new tag] viable/strict/1763180744 -> viable/strict/1763180744 2025-12-04T08:27:04.8335235Z * [new tag] viable/strict/1763182227 -> viable/strict/1763182227 2025-12-04T08:27:04.8335552Z * [new tag] viable/strict/1763184309 -> viable/strict/1763184309 2025-12-04T08:27:04.8335914Z * [new tag] viable/strict/1763187991 -> viable/strict/1763187991 2025-12-04T08:27:04.8339840Z * [new tag] viable/strict/1763191445 -> viable/strict/1763191445 2025-12-04T08:27:04.8340145Z * [new tag] viable/strict/1763195152 -> viable/strict/1763195152 2025-12-04T08:27:04.8340319Z * [new tag] viable/strict/1763205769 -> viable/strict/1763205769 2025-12-04T08:27:04.8340498Z * [new tag] viable/strict/1763246990 -> viable/strict/1763246990 2025-12-04T08:27:04.8340634Z * [new tag] viable/strict/1763261578 -> viable/strict/1763261578 2025-12-04T08:27:04.8340753Z * [new tag] viable/strict/1763286573 -> viable/strict/1763286573 2025-12-04T08:27:04.8341001Z * [new tag] viable/strict/1763292167 -> viable/strict/1763292167 2025-12-04T08:27:04.8341669Z * [new tag] viable/strict/1763333386 -> viable/strict/1763333386 2025-12-04T08:27:04.8341819Z * [new tag] viable/strict/1763340082 -> viable/strict/1763340082 2025-12-04T08:27:04.8345523Z * [new tag] viable/strict/1763364324 -> viable/strict/1763364324 2025-12-04T08:27:04.8345834Z * [new tag] viable/strict/1763371569 -> viable/strict/1763371569 2025-12-04T08:27:04.8345972Z * [new tag] viable/strict/1763373067 -> viable/strict/1763373067 2025-12-04T08:27:04.8346099Z * [new tag] viable/strict/1763375157 -> viable/strict/1763375157 2025-12-04T08:27:04.8346351Z * [new tag] viable/strict/1763382462 -> viable/strict/1763382462 2025-12-04T08:27:04.8346724Z * [new tag] viable/strict/1763394661 -> viable/strict/1763394661 2025-12-04T08:27:04.8347404Z * [new tag] viable/strict/1763396797 -> viable/strict/1763396797 2025-12-04T08:27:04.8347550Z * [new tag] viable/strict/1763398542 -> viable/strict/1763398542 2025-12-04T08:27:04.8348060Z * [new tag] viable/strict/1763401807 -> viable/strict/1763401807 2025-12-04T08:27:04.8348478Z * [new tag] viable/strict/1763414698 -> viable/strict/1763414698 2025-12-04T08:27:04.8351314Z * [new tag] viable/strict/1763419807 -> viable/strict/1763419807 2025-12-04T08:27:04.8351464Z * [new tag] viable/strict/1763426369 -> viable/strict/1763426369 2025-12-04T08:27:04.8351597Z * [new tag] viable/strict/1763428331 -> viable/strict/1763428331 2025-12-04T08:27:04.8351719Z * [new tag] viable/strict/1763430922 -> viable/strict/1763430922 2025-12-04T08:27:04.8351840Z * [new tag] viable/strict/1763434184 -> viable/strict/1763434184 2025-12-04T08:27:04.8352076Z * [new tag] viable/strict/1763439973 -> viable/strict/1763439973 2025-12-04T08:27:04.8353033Z * [new tag] viable/strict/1763444995 -> viable/strict/1763444995 2025-12-04T08:27:04.8353254Z * [new tag] viable/strict/1763447206 -> viable/strict/1763447206 2025-12-04T08:27:04.8355014Z * [new tag] viable/strict/1763448826 -> viable/strict/1763448826 2025-12-04T08:27:04.8355314Z * [new tag] viable/strict/1763450717 -> viable/strict/1763450717 2025-12-04T08:27:04.8355903Z * [new tag] viable/strict/1763452183 -> viable/strict/1763452183 2025-12-04T08:27:04.8356348Z * [new tag] viable/strict/1763457945 -> viable/strict/1763457945 2025-12-04T08:27:04.8356616Z * [new tag] viable/strict/1763459439 -> viable/strict/1763459439 2025-12-04T08:27:04.8357056Z * [new tag] viable/strict/1763461556 -> viable/strict/1763461556 2025-12-04T08:27:04.8359155Z * [new tag] viable/strict/1763463103 -> viable/strict/1763463103 2025-12-04T08:27:04.8359302Z * [new tag] viable/strict/1763465100 -> viable/strict/1763465100 2025-12-04T08:27:04.8359429Z * [new tag] viable/strict/1763468866 -> viable/strict/1763468866 2025-12-04T08:27:04.8359551Z * [new tag] viable/strict/1763493823 -> viable/strict/1763493823 2025-12-04T08:27:04.8359953Z * [new tag] viable/strict/1763496249 -> viable/strict/1763496249 2025-12-04T08:27:04.8360836Z * [new tag] viable/strict/1763502620 -> viable/strict/1763502620 2025-12-04T08:27:04.8361481Z * [new tag] viable/strict/1763504715 -> viable/strict/1763504715 2025-12-04T08:27:04.8361854Z * [new tag] viable/strict/1763506208 -> viable/strict/1763506208 2025-12-04T08:27:04.8362375Z * [new tag] viable/strict/1763520590 -> viable/strict/1763520590 2025-12-04T08:27:04.8365190Z * [new tag] viable/strict/1763523357 -> viable/strict/1763523357 2025-12-04T08:27:04.8365344Z * [new tag] viable/strict/1763529922 -> viable/strict/1763529922 2025-12-04T08:27:04.8365463Z * [new tag] viable/strict/1763531408 -> viable/strict/1763531408 2025-12-04T08:27:04.8365574Z * [new tag] viable/strict/1763533622 -> viable/strict/1763533622 2025-12-04T08:27:04.8365700Z * [new tag] viable/strict/1763538576 -> viable/strict/1763538576 2025-12-04T08:27:04.8366138Z * [new tag] viable/strict/1763545823 -> viable/strict/1763545823 2025-12-04T08:27:04.8367422Z * [new tag] viable/strict/1763547951 -> viable/strict/1763547951 2025-12-04T08:27:04.8367730Z * [new tag] viable/strict/1763551477 -> viable/strict/1763551477 2025-12-04T08:27:04.8368142Z * [new tag] viable/strict/1763552982 -> viable/strict/1763552982 2025-12-04T08:27:04.8368531Z * [new tag] viable/strict/1763594698 -> viable/strict/1763594698 2025-12-04T08:27:04.8369555Z * [new tag] viable/strict/1763596178 -> viable/strict/1763596178 2025-12-04T08:27:04.8369709Z * [new tag] viable/strict/1763599155 -> viable/strict/1763599155 2025-12-04T08:27:04.8371445Z * [new tag] viable/strict/1763603717 -> viable/strict/1763603717 2025-12-04T08:27:04.8371593Z * [new tag] viable/strict/1763606923 -> viable/strict/1763606923 2025-12-04T08:27:04.8371724Z * [new tag] viable/strict/1763609715 -> viable/strict/1763609715 2025-12-04T08:27:04.8373147Z * [new tag] viable/strict/1763612757 -> viable/strict/1763612757 2025-12-04T08:27:04.8373299Z * [new tag] viable/strict/1763616325 -> viable/strict/1763616325 2025-12-04T08:27:04.8373423Z * [new tag] viable/strict/1763623509 -> viable/strict/1763623509 2025-12-04T08:27:04.8374478Z * [new tag] viable/strict/1763624984 -> viable/strict/1763624984 2025-12-04T08:27:04.8374747Z * [new tag] viable/strict/1763628796 -> viable/strict/1763628796 2025-12-04T08:27:04.8375524Z * [new tag] viable/strict/1763634343 -> viable/strict/1763634343 2025-12-04T08:27:04.8375672Z * [new tag] viable/strict/1763635867 -> viable/strict/1763635867 2025-12-04T08:27:04.8378448Z * [new tag] viable/strict/1763639382 -> viable/strict/1763639382 2025-12-04T08:27:04.8378609Z * [new tag] viable/strict/1763646626 -> viable/strict/1763646626 2025-12-04T08:27:04.8378873Z * [new tag] viable/strict/1763655997 -> viable/strict/1763655997 2025-12-04T08:27:04.8379002Z * [new tag] viable/strict/1763659444 -> viable/strict/1763659444 2025-12-04T08:27:04.8379339Z * [new tag] viable/strict/1763660992 -> viable/strict/1763660992 2025-12-04T08:27:04.8379664Z * [new tag] viable/strict/1763663201 -> viable/strict/1763663201 2025-12-04T08:27:04.8380332Z * [new tag] viable/strict/1763670362 -> viable/strict/1763670362 2025-12-04T08:27:04.8380538Z * [new tag] viable/strict/1763675378 -> viable/strict/1763675378 2025-12-04T08:27:04.8381498Z * [new tag] viable/strict/1763693343 -> viable/strict/1763693343 2025-12-04T08:27:04.8381785Z * [new tag] viable/strict/1763696088 -> viable/strict/1763696088 2025-12-04T08:27:04.8382820Z * [new tag] viable/strict/1763697343 -> viable/strict/1763697343 2025-12-04T08:27:04.8383114Z * [new tag] viable/strict/1763699165 -> viable/strict/1763699165 2025-12-04T08:27:04.8384012Z * [new tag] viable/strict/1763700660 -> viable/strict/1763700660 2025-12-04T08:27:04.8384245Z * [new tag] viable/strict/1763704209 -> viable/strict/1763704209 2025-12-04T08:27:04.8385246Z * [new tag] viable/strict/1763706411 -> viable/strict/1763706411 2025-12-04T08:27:04.8385510Z * [new tag] viable/strict/1763708082 -> viable/strict/1763708082 2025-12-04T08:27:04.8386311Z * [new tag] viable/strict/1763711381 -> viable/strict/1763711381 2025-12-04T08:27:04.8387160Z * [new tag] viable/strict/1763713593 -> viable/strict/1763713593 2025-12-04T08:27:04.8387391Z * [new tag] viable/strict/1763715201 -> viable/strict/1763715201 2025-12-04T08:27:04.8388292Z * [new tag] viable/strict/1763733017 -> viable/strict/1763733017 2025-12-04T08:27:04.8388600Z * [new tag] viable/strict/1763735108 -> viable/strict/1763735108 2025-12-04T08:27:04.8389473Z * [new tag] viable/strict/1763749579 -> viable/strict/1763749579 2025-12-04T08:27:04.8389904Z * [new tag] viable/strict/1763751113 -> viable/strict/1763751113 2025-12-04T08:27:04.8390685Z * [new tag] viable/strict/1763753035 -> viable/strict/1763753035 2025-12-04T08:27:04.8390979Z * [new tag] viable/strict/1763754578 -> viable/strict/1763754578 2025-12-04T08:27:04.8391868Z * [new tag] viable/strict/1763756748 -> viable/strict/1763756748 2025-12-04T08:27:04.8392093Z * [new tag] viable/strict/1763758205 -> viable/strict/1763758205 2025-12-04T08:27:04.8392840Z * [new tag] viable/strict/1763764050 -> viable/strict/1763764050 2025-12-04T08:27:04.8393251Z * [new tag] viable/strict/1763771887 -> viable/strict/1763771887 2025-12-04T08:27:04.8394224Z * [new tag] viable/strict/1763773920 -> viable/strict/1763773920 2025-12-04T08:27:04.8394568Z * [new tag] viable/strict/1763776501 -> viable/strict/1763776501 2025-12-04T08:27:04.8395355Z * [new tag] viable/strict/1763779437 -> viable/strict/1763779437 2025-12-04T08:27:04.8396129Z * [new tag] viable/strict/1763781038 -> viable/strict/1763781038 2025-12-04T08:27:04.8396276Z * [new tag] viable/strict/1763782245 -> viable/strict/1763782245 2025-12-04T08:27:04.8397337Z * [new tag] viable/strict/1763785568 -> viable/strict/1763785568 2025-12-04T08:27:04.8397605Z * [new tag] viable/strict/1763787006 -> viable/strict/1763787006 2025-12-04T08:27:04.8398562Z * [new tag] viable/strict/1763789103 -> viable/strict/1763789103 2025-12-04T08:27:04.8398826Z * [new tag] viable/strict/1763790578 -> viable/strict/1763790578 2025-12-04T08:27:04.8399757Z * [new tag] viable/strict/1763796275 -> viable/strict/1763796275 2025-12-04T08:27:04.8400513Z * [new tag] viable/strict/1763801465 -> viable/strict/1763801465 2025-12-04T08:27:04.8400802Z * [new tag] viable/strict/1763803522 -> viable/strict/1763803522 2025-12-04T08:27:04.8401729Z * [new tag] viable/strict/1763808581 -> viable/strict/1763808581 2025-12-04T08:27:04.8402011Z * [new tag] viable/strict/1763840977 -> viable/strict/1763840977 2025-12-04T08:27:04.8402915Z * [new tag] viable/strict/1763846659 -> viable/strict/1763846659 2025-12-04T08:27:04.8403277Z * [new tag] viable/strict/1763872065 -> viable/strict/1763872065 2025-12-04T08:27:04.8404164Z * [new tag] viable/strict/1763873648 -> viable/strict/1763873648 2025-12-04T08:27:04.8404526Z * [new tag] viable/strict/1763875506 -> viable/strict/1763875506 2025-12-04T08:27:04.8405202Z * [new tag] viable/strict/1763889904 -> viable/strict/1763889904 2025-12-04T08:27:04.8405682Z * [new tag] viable/strict/1763930999 -> viable/strict/1763930999 2025-12-04T08:27:04.8406446Z * [new tag] viable/strict/1763944964 -> viable/strict/1763944964 2025-12-04T08:27:04.8406564Z * [new tag] viable/strict/1763958474 -> viable/strict/1763958474 2025-12-04T08:27:04.8408842Z * [new tag] viable/strict/1763967263 -> viable/strict/1763967263 2025-12-04T08:27:04.8409001Z * [new tag] viable/strict/1763972803 -> viable/strict/1763972803 2025-12-04T08:27:04.8409120Z * [new tag] viable/strict/1763976376 -> viable/strict/1763976376 2025-12-04T08:27:04.8409233Z * [new tag] viable/strict/1763989404 -> viable/strict/1763989404 2025-12-04T08:27:04.8409731Z * [new tag] viable/strict/1763990887 -> viable/strict/1763990887 2025-12-04T08:27:04.8410292Z * [new tag] viable/strict/1764019919 -> viable/strict/1764019919 2025-12-04T08:27:04.8410980Z * [new tag] viable/strict/1764023134 -> viable/strict/1764023134 2025-12-04T08:27:04.8411270Z * [new tag] viable/strict/1764024593 -> viable/strict/1764024593 2025-12-04T08:27:04.8412197Z * [new tag] viable/strict/1764026706 -> viable/strict/1764026706 2025-12-04T08:27:04.8412712Z * [new tag] viable/strict/1764031139 -> viable/strict/1764031139 2025-12-04T08:27:04.8413385Z * [new tag] viable/strict/1764033131 -> viable/strict/1764033131 2025-12-04T08:27:04.8413644Z * [new tag] viable/strict/1764035725 -> viable/strict/1764035725 2025-12-04T08:27:04.8414399Z * [new tag] viable/strict/1764624265 -> viable/strict/1764624265 2025-12-04T08:27:04.8414668Z * [new tag] viable/strict/1764631514 -> viable/strict/1764631514 2025-12-04T08:27:04.8416931Z * [new tag] viable/strict/1764632987 -> viable/strict/1764632987 2025-12-04T08:27:04.8417082Z * [new tag] viable/strict/1764636063 -> viable/strict/1764636063 2025-12-04T08:27:04.8417212Z * [new tag] viable/strict/1764643975 -> viable/strict/1764643975 2025-12-04T08:27:04.8417327Z * [new tag] viable/strict/1764646859 -> viable/strict/1764646859 2025-12-04T08:27:04.8417439Z * [new tag] viable/strict/1764653120 -> viable/strict/1764653120 2025-12-04T08:27:04.8417837Z * [new tag] viable/strict/1764654632 -> viable/strict/1764654632 2025-12-04T08:27:04.8418130Z * [new tag] viable/strict/1764656821 -> viable/strict/1764656821 2025-12-04T08:27:04.8418899Z * [new tag] viable/strict/1764658557 -> viable/strict/1764658557 2025-12-04T08:27:04.8419024Z * [new tag] viable/strict/1764660333 -> viable/strict/1764660333 2025-12-04T08:27:04.8421611Z * [new tag] viable/strict/1764661812 -> viable/strict/1764661812 2025-12-04T08:27:04.8421786Z * [new tag] viable/strict/1764664023 -> viable/strict/1764664023 2025-12-04T08:27:04.8421915Z * [new tag] viable/strict/1764669150 -> viable/strict/1764669150 2025-12-04T08:27:04.8422030Z * [new tag] viable/strict/1764680709 -> viable/strict/1764680709 2025-12-04T08:27:04.8422151Z * [new tag] viable/strict/1764687619 -> viable/strict/1764687619 2025-12-04T08:27:04.8422407Z * [new tag] viable/strict/1764696355 -> viable/strict/1764696355 2025-12-04T08:27:04.8422703Z * [new tag] viable/strict/1764701767 -> viable/strict/1764701767 2025-12-04T08:27:04.8424042Z * [new tag] viable/strict/1764710768 -> viable/strict/1764710768 2025-12-04T08:27:04.8424180Z * [new tag] viable/strict/1764716202 -> viable/strict/1764716202 2025-12-04T08:27:04.8424297Z * [new tag] viable/strict/1764793566 -> viable/strict/1764793566 2025-12-04T08:27:04.8425000Z * [new tag] viable/strict/1764797093 -> viable/strict/1764797093 2025-12-04T08:27:04.8425303Z * [new tag] viable/strict/1764800729 -> viable/strict/1764800729 2025-12-04T08:27:04.8426167Z * [new tag] whc_flight_1 -> whc_flight_1 2025-12-04T08:27:04.8426454Z * [new tag] whc_flight_2 -> whc_flight_2 2025-12-04T08:27:04.8428459Z * [new tag] whc_flight_4 -> whc_flight_4 2025-12-04T08:27:04.8907940Z [command]/usr/bin/git rev-parse --verify --quiet ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32^{object} 2025-12-04T08:27:04.8935123Z ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:27:04.8942528Z ##[endgroup] 2025-12-04T08:27:04.8944291Z ##[group]Determining the checkout info 2025-12-04T08:27:04.8944618Z ##[endgroup] 2025-12-04T08:27:04.8948971Z [command]/usr/bin/git sparse-checkout disable 2025-12-04T08:27:04.8975068Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-12-04T08:27:04.9000249Z ##[group]Checking out the ref 2025-12-04T08:27:04.9002526Z [command]/usr/bin/git checkout --progress --force ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:27:05.9196784Z Note: switching to 'ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32'. 2025-12-04T08:27:05.9197993Z 2025-12-04T08:27:05.9198389Z You are in 'detached HEAD' state. You can look around, make experimental 2025-12-04T08:27:05.9198780Z changes and commit them, and you can discard any commits you make in this 2025-12-04T08:27:05.9199185Z state without impacting any branches by switching back to a branch. 2025-12-04T08:27:05.9199390Z 2025-12-04T08:27:05.9199547Z If you want to create a new branch to retain commits you create, you may 2025-12-04T08:27:05.9199898Z do so (now or later) by using -c with the switch command. Example: 2025-12-04T08:27:05.9200081Z 2025-12-04T08:27:05.9200225Z git switch -c 2025-12-04T08:27:05.9200375Z 2025-12-04T08:27:05.9200457Z Or undo this operation with: 2025-12-04T08:27:05.9200577Z 2025-12-04T08:27:05.9200664Z git switch - 2025-12-04T08:27:05.9200772Z 2025-12-04T08:27:05.9200957Z Turn off this advice by setting config variable advice.detachedHead to false 2025-12-04T08:27:05.9201189Z 2025-12-04T08:27:05.9203228Z HEAD is now at ffd9b0fb435 Resolve collective autotuning test failure on arm (#168919) 2025-12-04T08:27:05.9260968Z ##[endgroup] 2025-12-04T08:27:05.9265759Z ##[group]Setting up auth for fetching submodules 2025-12-04T08:27:05.9268502Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-12-04T08:27:05.9325477Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-12-04T08:27:05.9354838Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-12-04T08:27:05.9389738Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-12-04T08:27:05.9409950Z ##[endgroup] 2025-12-04T08:27:05.9410394Z ##[group]Fetching submodules 2025-12-04T08:27:05.9412636Z [command]/usr/bin/git submodule sync --recursive 2025-12-04T08:27:05.9707076Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2025-12-04T08:27:05.9997972Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni' 2025-12-04T08:27:05.9998778Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16' 2025-12-04T08:27:05.9999940Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv' 2025-12-04T08:27:06.0001414Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK' 2025-12-04T08:27:06.0002028Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX' 2025-12-04T08:27:06.0002708Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator' 2025-12-04T08:27:06.0003369Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK' 2025-12-04T08:27:06.0004641Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter' 2025-12-04T08:27:06.0006720Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark' 2025-12-04T08:27:06.0013638Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel' 2025-12-04T08:27:06.0014289Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib' 2025-12-04T08:27:06.0014834Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo' 2025-12-04T08:27:06.0015388Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend' 2025-12-04T08:27:06.0016406Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass' 2025-12-04T08:27:06.0017107Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm' 2025-12-04T08:27:06.0019222Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention' 2025-12-04T08:27:06.0024357Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers' 2025-12-04T08:27:06.0029891Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt' 2025-12-04T08:27:06.0033899Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp' 2025-12-04T08:27:06.0034492Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo' 2025-12-04T08:27:06.0035002Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' 2025-12-04T08:27:06.0035491Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep' 2025-12-04T08:27:06.0035959Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi' 2025-12-04T08:27:06.0036608Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto' 2025-12-04T08:27:06.0038112Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai' 2025-12-04T08:27:06.0040006Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc' 2025-12-04T08:27:06.0042293Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann' 2025-12-04T08:27:06.0044559Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx' 2025-12-04T08:27:06.0049522Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp' 2025-12-04T08:27:06.0050268Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft' 2025-12-04T08:27:06.0054900Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf' 2025-12-04T08:27:06.0055573Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd' 2025-12-04T08:27:06.0056621Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool' 2025-12-04T08:27:06.0062044Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' 2025-12-04T08:27:06.0062797Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy' 2025-12-04T08:27:06.0066790Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef' 2025-12-04T08:27:06.0067753Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe' 2025-12-04T08:27:06.0093719Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'... 2025-12-04T08:27:06.2176111Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'... 2025-12-04T08:27:06.2176571Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'... 2025-12-04T08:27:06.2196194Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/composable_kernel'... 2025-12-04T08:27:14.7059837Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'... 2025-12-04T08:27:14.7060552Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NVTX'... 2025-12-04T08:27:14.7061203Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'... 2025-12-04T08:27:14.7061872Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'... 2025-12-04T08:27:14.7062543Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpp-httplib'... 2025-12-04T08:27:14.7063251Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention'... 2025-12-04T08:27:14.7064058Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'... 2025-12-04T08:27:14.7064802Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'... 2025-12-04T08:27:14.7065544Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'... 2025-12-04T08:27:14.7066233Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gloo'... 2025-12-04T08:27:14.7066899Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flatbuffers'... 2025-12-04T08:27:14.7067560Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep'... 2025-12-04T08:27:14.7068203Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cutlass'... 2025-12-04T08:27:14.7068794Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ittapi'... 2025-12-04T08:27:14.7069635Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fmt'... 2025-12-04T08:27:14.7070289Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/googletest'... 2025-12-04T08:27:14.7070953Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kleidiai'... 2025-12-04T08:27:14.7071611Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm'... 2025-12-04T08:27:14.7072306Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/mimalloc'... 2025-12-04T08:27:14.7072965Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pocketfft'... 2025-12-04T08:27:14.7073609Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto'... 2025-12-04T08:27:14.7074243Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/psimd'... 2025-12-04T08:27:14.7074925Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pthreadpool'... 2025-12-04T08:27:14.7239684Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pybind11'... 2025-12-04T08:27:15.4245294Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/python-peachpy'... 2025-12-04T08:27:15.4263621Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp'... 2025-12-04T08:27:35.6413533Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe'... 2025-12-04T08:27:35.6414173Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx'... 2025-12-04T08:27:35.6414565Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/sleef'... 2025-12-04T08:27:35.6414951Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter'... 2025-12-04T08:27:35.6415332Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nlohmann'... 2025-12-04T08:27:35.6415923Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf'... 2025-12-04T08:27:35.7417222Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'... 2025-12-04T08:27:36.3509474Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2025-12-04T08:27:36.3614720Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-12-04T08:27:36.3699640Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-12-04T08:27:36.3894121Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2025-12-04T08:27:36.4560505Z Submodule path 'third_party/NVTX': checked out '3ebbc93ded7285963bff932c678fa367eb393ba6' 2025-12-04T08:27:36.4986497Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1' 2025-12-04T08:27:37.0002435Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883' 2025-12-04T08:27:37.1492530Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150' 2025-12-04T08:27:37.1504720Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel' 2025-12-04T08:27:37.1532225Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'... 2025-12-04T08:27:41.8600988Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf' 2025-12-04T08:27:41.8794182Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f' 2025-12-04T08:27:42.1340751Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-12-04T08:27:42.1728467Z Submodule path 'third_party/cpp-httplib': checked out '89c932f313c6437c38f2982869beacc89c2f2246' 2025-12-04T08:27:42.2517618Z Submodule path 'third_party/cpuinfo': checked out 'f858c30bcb16f8effd5ff46996f0514539e17abc' 2025-12-04T08:27:42.2911533Z Submodule path 'third_party/cudnn_frontend': checked out '0b1577c8c83401237d601d0d0db5210506705396' 2025-12-04T08:27:42.8415274Z Submodule path 'third_party/cutlass': checked out 'f88806b1e31dfa579842638740216dd41fc6c588' 2025-12-04T08:27:42.9562990Z Submodule path 'third_party/fbgemm': checked out 'c0b988d39a9e47c794d699f29930ed4d7c7e13a4' 2025-12-04T08:27:42.9584670Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit' 2025-12-04T08:27:42.9589075Z Submodule 'external/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel' 2025-12-04T08:27:42.9591042Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo' 2025-12-04T08:27:42.9591759Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass' 2025-12-04T08:27:42.9597022Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest' 2025-12-04T08:27:42.9602445Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch' 2025-12-04T08:27:42.9603276Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json' 2025-12-04T08:27:42.9614946Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'... 2025-12-04T08:27:44.1860103Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'... 2025-12-04T08:27:44.1860656Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'... 2025-12-04T08:27:44.1861164Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'... 2025-12-04T08:27:44.2861157Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'... 2025-12-04T08:27:47.4623941Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'... 2025-12-04T08:27:47.5625238Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/json'... 2025-12-04T08:27:50.5501353Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea' 2025-12-04T08:27:50.8041958Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-12-04T08:27:50.8848077Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349' 2025-12-04T08:27:51.3709143Z Submodule path 'third_party/fbgemm/external/cutlass': checked out '98125ce499b0fdf7ffbe0e3052f5b8709f4840f8' 2025-12-04T08:27:51.4085739Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-12-04T08:27:51.4192481Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out '63b6a7b541fa7f08f8475ca7d74054db36ff2691' 2025-12-04T08:27:51.5032444Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03' 2025-12-04T08:27:51.5561355Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5' 2025-12-04T08:27:51.5575412Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel' 2025-12-04T08:27:51.5579962Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass' 2025-12-04T08:27:51.5603969Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'... 2025-12-04T08:27:55.9674157Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'... 2025-12-04T08:27:56.1364808Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33' 2025-12-04T08:27:56.5643448Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420' 2025-12-04T08:27:56.6640444Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757' 2025-12-04T08:27:56.6883115Z Submodule path 'third_party/fmt': checked out '407c905e45ad75fc29bf0f9bb7c5c2fd3475976f' 2025-12-04T08:27:56.7198582Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2025-12-04T08:27:56.7395810Z Submodule path 'third_party/gloo': checked out '54cbae0d3a67fa890b4c3d9ee162b7860315e341' 2025-12-04T08:27:56.7767505Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-12-04T08:27:56.7876759Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3' 2025-12-04T08:27:56.7891321Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn' 2025-12-04T08:27:56.7917146Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'... 2025-12-04T08:28:12.3523415Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d' 2025-12-04T08:28:12.3683572Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959' 2025-12-04T08:28:12.4458727Z Submodule path 'third_party/kineto': checked out '31f85df8fbd89c188f14ef10f1ec65379786b943' 2025-12-04T08:28:12.4474231Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog' 2025-12-04T08:28:12.4478510Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt' 2025-12-04T08:28:12.4479519Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest' 2025-12-04T08:28:12.4502355Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'... 2025-12-04T08:28:13.1438749Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'... 2025-12-04T08:28:13.6122895Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'... 2025-12-04T08:28:13.6839090Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out 'd2ffe0a4e3acace628db49974246b66fc3e85fb1' 2025-12-04T08:28:13.6857801Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-12-04T08:28:13.6862933Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-12-04T08:28:13.6864961Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-12-04T08:28:13.6865935Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-12-04T08:28:13.6870779Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-12-04T08:28:13.6872872Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-12-04T08:28:13.6873635Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-12-04T08:28:13.6874306Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-12-04T08:28:13.6875019Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp' 2025-12-04T08:28:13.6897069Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'... 2025-12-04T08:28:15.7191602Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'... 2025-12-04T08:28:15.7193198Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'... 2025-12-04T08:28:15.7194095Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'... 2025-12-04T08:28:15.7194727Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'... 2025-12-04T08:28:15.7195352Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'... 2025-12-04T08:28:15.7195986Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'... 2025-12-04T08:28:15.7196602Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'... 2025-12-04T08:28:15.8193851Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'... 2025-12-04T08:28:21.7340769Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2025-12-04T08:28:21.7489140Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2025-12-04T08:28:21.7786580Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2025-12-04T08:28:21.7899169Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2025-12-04T08:28:21.7913902Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-12-04T08:28:21.7937737Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'... 2025-12-04T08:28:22.0686091Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4' 2025-12-04T08:28:22.0840365Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446' 2025-12-04T08:28:22.1227254Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-12-04T08:28:22.2049622Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5' 2025-12-04T08:28:22.2183956Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150' 2025-12-04T08:28:22.2326506Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp': checked out 'b1234816facfdda29845c46696a02998a4af115a' 2025-12-04T08:28:22.2343210Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T08:28:22.2348604Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T08:28:22.2371612Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'... 2025-12-04T08:28:24.4560925Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'... 2025-12-04T08:28:24.6546752Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'd7ba35bbb649209c66e582d5a0244ba988a15159' 2025-12-04T08:28:24.6913740Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929' 2025-12-04T08:28:24.7181130Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21' 2025-12-04T08:28:24.7534535Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-12-04T08:28:24.7947679Z Submodule path 'third_party/kleidiai': checked out 'd7770c89632329a9914ef1a90289917597639cbe' 2025-12-04T08:28:24.8249388Z 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'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-12-04T08:28:40.6625715Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local 'http.https://github.com/.extraheader' 'AUTHORIZATION: basic ***' && git config --local --show-origin --name-only --get-regexp remote.origin.url" 2025-12-04T08:28:40.6912772Z Entering 'android/libs/fbjni' 2025-12-04T08:28:40.6959235Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config remote.origin.url 2025-12-04T08:28:40.6977529Z Entering 'third_party/FP16' 2025-12-04T08:28:40.7019892Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config remote.origin.url 2025-12-04T08:28:40.7038613Z Entering 'third_party/FXdiv' 2025-12-04T08:28:40.7088031Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config remote.origin.url 2025-12-04T08:28:40.7106046Z Entering 'third_party/NNPACK' 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2025-12-04T08:28:41.5710964Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-12-04T08:28:41.5748577Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-12-04T08:28:41.5793098Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-12-04T08:28:41.5829715Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-12-04T08:28:41.5869706Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-12-04T08:28:41.5902167Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T08:28:41.5940704Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T08:28:41.5988839Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-12-04T08:28:41.6041096Z Entering 'third_party/pocketfft' 2025-12-04T08:28:41.6079003Z Entering 'third_party/protobuf' 2025-12-04T08:28:41.6118897Z Entering 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--recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:' 2025-12-04T08:28:41.6914547Z Entering 'android/libs/fbjni' 2025-12-04T08:28:41.6955557Z Entering 'third_party/FP16' 2025-12-04T08:28:41.6995870Z Entering 'third_party/FXdiv' 2025-12-04T08:28:41.7032780Z Entering 'third_party/NNPACK' 2025-12-04T08:28:41.7075228Z Entering 'third_party/NVTX' 2025-12-04T08:28:41.7112948Z Entering 'third_party/VulkanMemoryAllocator' 2025-12-04T08:28:41.7154409Z Entering 'third_party/XNNPACK' 2025-12-04T08:28:41.7201243Z Entering 'third_party/aiter' 2025-12-04T08:28:41.7243571Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-12-04T08:28:41.7287783Z Entering 'third_party/benchmark' 2025-12-04T08:28:41.7322920Z Entering 'third_party/composable_kernel' 2025-12-04T08:28:41.7373208Z Entering 'third_party/cpp-httplib' 2025-12-04T08:28:41.7407241Z Entering 'third_party/cpuinfo' 2025-12-04T08:28:41.7443837Z Entering 'third_party/cudnn_frontend' 2025-12-04T08:28:41.7483873Z Entering 'third_party/cutlass' 2025-12-04T08:28:41.7530429Z Entering 'third_party/fbgemm' 2025-12-04T08:28:41.7568562Z Entering 'third_party/fbgemm/external/asmjit' 2025-12-04T08:28:41.7607127Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-12-04T08:28:41.7652129Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-12-04T08:28:41.7690096Z Entering 'third_party/fbgemm/external/cutlass' 2025-12-04T08:28:41.7737747Z Entering 'third_party/fbgemm/external/googletest' 2025-12-04T08:28:41.7780160Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-12-04T08:28:41.7812107Z Entering 'third_party/fbgemm/external/json' 2025-12-04T08:28:41.7857021Z Entering 'third_party/flash-attention' 2025-12-04T08:28:41.7895758Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-12-04T08:28:41.7939873Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-12-04T08:28:41.7991205Z Entering 'third_party/flatbuffers' 2025-12-04T08:28:41.8035366Z Entering 'third_party/fmt' 2025-12-04T08:28:41.8076656Z Entering 'third_party/gemmlowp/gemmlowp' 2025-12-04T08:28:41.8115803Z Entering 'third_party/gloo' 2025-12-04T08:28:41.8152588Z Entering 'third_party/googletest' 2025-12-04T08:28:41.8194808Z Entering 'third_party/ideep' 2025-12-04T08:28:41.8228624Z Entering 'third_party/ideep/mkl-dnn' 2025-12-04T08:28:41.8272800Z Entering 'third_party/ittapi' 2025-12-04T08:28:41.8310022Z Entering 'third_party/kineto' 2025-12-04T08:28:41.8347538Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-12-04T08:28:41.8384455Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-12-04T08:28:41.8426151Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-12-04T08:28:41.8460475Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-12-04T08:28:41.8497177Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-12-04T08:28:41.8536558Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-12-04T08:28:41.8576046Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-12-04T08:28:41.8615349Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-12-04T08:28:41.8656619Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-12-04T08:28:41.8692353Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-12-04T08:28:41.8733649Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp' 2025-12-04T08:28:41.8770026Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T08:28:41.8805465Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T08:28:41.8854829Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-12-04T08:28:41.8891297Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-12-04T08:28:41.8937238Z Entering 'third_party/kleidiai' 2025-12-04T08:28:41.8974488Z Entering 'third_party/mimalloc' 2025-12-04T08:28:41.9008313Z Entering 'third_party/nlohmann' 2025-12-04T08:28:41.9049860Z Entering 'third_party/onnx' 2025-12-04T08:28:41.9098325Z Entering 'third_party/onnx/third_party/pybind11' 2025-12-04T08:28:41.9138751Z Entering 'third_party/opentelemetry-cpp' 2025-12-04T08:28:41.9180373Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-12-04T08:28:41.9212886Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-12-04T08:28:41.9253904Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-12-04T08:28:41.9289543Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-12-04T08:28:41.9323143Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-12-04T08:28:41.9362636Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-12-04T08:28:41.9400026Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-12-04T08:28:41.9434890Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T08:28:41.9473666Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T08:28:41.9511485Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-12-04T08:28:41.9567031Z Entering 'third_party/pocketfft' 2025-12-04T08:28:41.9600814Z Entering 'third_party/protobuf' 2025-12-04T08:28:41.9639874Z Entering 'third_party/protobuf/third_party/benchmark' 2025-12-04T08:28:41.9680288Z Entering 'third_party/protobuf/third_party/googletest' 2025-12-04T08:28:41.9721183Z Entering 'third_party/psimd' 2025-12-04T08:28:41.9761510Z Entering 'third_party/pthreadpool' 2025-12-04T08:28:41.9800273Z Entering 'third_party/pybind11' 2025-12-04T08:28:41.9836989Z Entering 'third_party/python-peachpy' 2025-12-04T08:28:41.9879739Z Entering 'third_party/sleef' 2025-12-04T08:28:41.9911133Z Entering 'third_party/tensorpipe' 2025-12-04T08:28:41.9952539Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-12-04T08:28:41.9988682Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-12-04T08:28:42.0024790Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-12-04T08:28:42.0063458Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-12-04T08:28:42.0100042Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-12-04T08:28:42.0151771Z ##[endgroup] 2025-12-04T08:28:42.0190544Z [command]/usr/bin/git log -1 --format=%H 2025-12-04T08:28:42.0207798Z ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:28:42.0333149Z ##[group]Run cd "${GITHUB_WORKSPACE}" 2025-12-04T08:28:42.0333395Z cd "${GITHUB_WORKSPACE}" 2025-12-04T08:28:42.0333589Z # Clean stale submodule dirs 2025-12-04T08:28:42.0333788Z if [ -z "${NO_SUDO}" ]; then 2025-12-04T08:28:42.0334021Z  sudo git submodule foreach --recursive git clean -ffdx 2025-12-04T08:28:42.0334247Z else 2025-12-04T08:28:42.0334456Z  git submodule foreach --recursive git clean -ffdx 2025-12-04T08:28:42.0334673Z fi 2025-12-04T08:28:42.0341836Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:28:42.0342194Z env: 2025-12-04T08:28:42.0342349Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:28:42.0342511Z NO_SUDO: true 2025-12-04T08:28:42.0342665Z ##[endgroup] 2025-12-04T08:28:42.0645415Z Entering 'android/libs/fbjni' 2025-12-04T08:28:42.0677900Z Entering 'third_party/FP16' 2025-12-04T08:28:42.0705051Z Entering 'third_party/FXdiv' 2025-12-04T08:28:42.0736162Z Entering 'third_party/NNPACK' 2025-12-04T08:28:42.0772501Z Entering 'third_party/NVTX' 2025-12-04T08:28:42.0805686Z Entering 'third_party/VulkanMemoryAllocator' 2025-12-04T08:28:42.0835509Z Entering 'third_party/XNNPACK' 2025-12-04T08:28:42.0934482Z Entering 'third_party/aiter' 2025-12-04T08:28:42.0963919Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-12-04T08:28:42.1053309Z Entering 'third_party/benchmark' 2025-12-04T08:28:42.1086058Z Entering 'third_party/composable_kernel' 2025-12-04T08:28:42.1177199Z Entering 'third_party/cpp-httplib' 2025-12-04T08:28:42.1210553Z Entering 'third_party/cpuinfo' 2025-12-04T08:28:42.1246837Z Entering 'third_party/cudnn_frontend' 2025-12-04T08:28:42.1277747Z Entering 'third_party/cutlass' 2025-12-04T08:28:42.1360424Z Entering 'third_party/fbgemm' 2025-12-04T08:28:42.1407644Z Entering 'third_party/fbgemm/external/asmjit' 2025-12-04T08:28:42.1438622Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-12-04T08:28:42.1533163Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-12-04T08:28:42.1561877Z Entering 'third_party/fbgemm/external/cutlass' 2025-12-04T08:28:42.1636598Z Entering 'third_party/fbgemm/external/googletest' 2025-12-04T08:28:42.1666611Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-12-04T08:28:42.1694450Z Entering 'third_party/fbgemm/external/json' 2025-12-04T08:28:42.1734463Z Entering 'third_party/flash-attention' 2025-12-04T08:28:42.1767908Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-12-04T08:28:42.1842738Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-12-04T08:28:42.1912702Z Entering 'third_party/flatbuffers' 2025-12-04T08:28:42.1966678Z Entering 'third_party/fmt' 2025-12-04T08:28:42.1996842Z Entering 'third_party/gemmlowp/gemmlowp' 2025-12-04T08:28:42.2025438Z Entering 'third_party/gloo' 2025-12-04T08:28:42.2057248Z Entering 'third_party/googletest' 2025-12-04T08:28:42.2089565Z Entering 'third_party/ideep' 2025-12-04T08:28:42.2116069Z Entering 'third_party/ideep/mkl-dnn' 2025-12-04T08:28:42.2189091Z Entering 'third_party/ittapi' 2025-12-04T08:28:42.2220374Z Entering 'third_party/kineto' 2025-12-04T08:28:42.2253890Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-12-04T08:28:42.2288526Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-12-04T08:28:42.2326254Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-12-04T08:28:42.2357605Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-12-04T08:28:42.2389537Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-12-04T08:28:42.2416975Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-12-04T08:28:42.2447654Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-12-04T08:28:42.2479024Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-12-04T08:28:42.2508770Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-12-04T08:28:42.2546442Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-12-04T08:28:42.2575847Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp' 2025-12-04T08:28:42.2604088Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T08:28:42.2644109Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T08:28:42.2680800Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-12-04T08:28:42.2711582Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-12-04T08:28:42.2746177Z Entering 'third_party/kleidiai' 2025-12-04T08:28:42.2784990Z Entering 'third_party/mimalloc' 2025-12-04T08:28:42.2820827Z Entering 'third_party/nlohmann' 2025-12-04T08:28:42.2859588Z Entering 'third_party/onnx' 2025-12-04T08:28:42.3080957Z Entering 'third_party/onnx/third_party/pybind11' 2025-12-04T08:28:42.3123215Z Entering 'third_party/opentelemetry-cpp' 2025-12-04T08:28:42.3164392Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-12-04T08:28:42.3192153Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-12-04T08:28:42.3222279Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-12-04T08:28:42.3257322Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-12-04T08:28:42.3291542Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-12-04T08:28:42.3319344Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-12-04T08:28:42.3348244Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-12-04T08:28:42.3373608Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T08:28:42.3413766Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T08:28:42.3447409Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-12-04T08:28:42.3628697Z Entering 'third_party/pocketfft' 2025-12-04T08:28:42.3658550Z Entering 'third_party/protobuf' 2025-12-04T08:28:42.3715528Z Entering 'third_party/protobuf/third_party/benchmark' 2025-12-04T08:28:42.3745535Z Entering 'third_party/protobuf/third_party/googletest' 2025-12-04T08:28:42.3781109Z Entering 'third_party/psimd' 2025-12-04T08:28:42.3810765Z Entering 'third_party/pthreadpool' 2025-12-04T08:28:42.3843549Z Entering 'third_party/pybind11' 2025-12-04T08:28:42.3876346Z Entering 'third_party/python-peachpy' 2025-12-04T08:28:42.3907831Z Entering 'third_party/sleef' 2025-12-04T08:28:42.3942707Z Entering 'third_party/tensorpipe' 2025-12-04T08:28:42.3973567Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-12-04T08:28:42.4003796Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-12-04T08:28:42.4029904Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-12-04T08:28:42.4064585Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-12-04T08:28:42.4090184Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-12-04T08:28:42.4208241Z Prepare all required actions 2025-12-04T08:28:42.4208636Z Getting action download info 2025-12-04T08:28:42.5586950Z ##[group]Run ./.github/actions/setup-linux 2025-12-04T08:28:42.5587158Z env: 2025-12-04T08:28:42.5587312Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:28:42.5587486Z ##[endgroup] 2025-12-04T08:28:42.5622409Z ##[group]Run set -euo pipefail 2025-12-04T08:28:42.5622650Z set -euo pipefail 2025-12-04T08:28:42.5622841Z function get_ec2_metadata() { 2025-12-04T08:28:42.5623080Z  # Pulled from instance metadata endpoint for EC2 2025-12-04T08:28:42.5623461Z  # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html 2025-12-04T08:28:42.5623788Z  category=$1 2025-12-04T08:28:42.5624022Z  # If it is GCP runner (runner name contains gcp), do not run this 2025-12-04T08:28:42.5624290Z  runner_name_str=i-0ee5da048c1e0ea70 2025-12-04T08:28:42.5624546Z  if [[ -f /.inarc ]]; then 2025-12-04T08:28:42.5624756Z  echo "ARC Runner, no info on ec2 metadata" 2025-12-04T08:28:42.5624992Z  elif [[ $runner_name_str == *"gcp"* ]]; then 2025-12-04T08:28:42.5625264Z  echo "Runner is from Google Cloud Platform, No info on ec2 metadata" 2025-12-04T08:28:42.5625509Z  else 2025-12-04T08:28:42.5625993Z  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}" 2025-12-04T08:28:42.5626593Z  fi 2025-12-04T08:28:42.5626747Z } 2025-12-04T08:28:42.5626926Z echo "ami-id: $(get_ec2_metadata ami-id)" 2025-12-04T08:28:42.5627178Z echo "instance-id: $(get_ec2_metadata instance-id)" 2025-12-04T08:28:42.5627461Z echo "instance-type: $(get_ec2_metadata instance-type)" 2025-12-04T08:28:42.5627708Z echo "system info $(uname -a)" 2025-12-04T08:28:42.5632974Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:28:42.5633208Z env: 2025-12-04T08:28:42.5633361Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:28:42.5633527Z ##[endgroup] 2025-12-04T08:28:42.5767178Z ami-id: ami-08982f1c5bf93d976 2025-12-04T08:28:42.5852320Z instance-id: i-0ee5da048c1e0ea70 2025-12-04T08:28:42.5947316Z instance-type: m7i-flex.2xlarge 2025-12-04T08:28:42.5960495Z system info Linux ip-10-0-69-97.ec2.internal 6.1.150-174.273.amzn2023.x86_64 #1 SMP PREEMPT_DYNAMIC Tue Sep 9 12:21:26 UTC 2025 x86_64 x86_64 x86_64 GNU/Linux 2025-12-04T08:28:42.5980975Z ##[group]Run if [ -f /usr/bin/nvidia-smi ]; then nvidia-smi; fi 2025-12-04T08:28:42.5981279Z if [ -f /usr/bin/nvidia-smi ]; then nvidia-smi; fi 2025-12-04T08:28:42.5985857Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:28:42.5986088Z env: 2025-12-04T08:28:42.5986231Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:28:42.5986407Z ##[endgroup] 2025-12-04T08:28:42.6022475Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T08:28:42.6022994Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T08:28:42.6026606Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:28:42.6026836Z env: 2025-12-04T08:28:42.6026985Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:28:42.6027161Z ##[endgroup] 2025-12-04T08:28:42.6097088Z ##[group]Run if systemctl is-active --quiet docker; then 2025-12-04T08:28:42.6097375Z if systemctl is-active --quiet docker; then 2025-12-04T08:28:42.6097612Z  echo "Docker daemon is running..."; 2025-12-04T08:28:42.6097814Z else 2025-12-04T08:28:42.6098027Z  echo "Starting docker daemon..." && sudo systemctl start docker; 2025-12-04T08:28:42.6098272Z fi 2025-12-04T08:28:42.6101782Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:28:42.6102013Z env: 2025-12-04T08:28:42.6102163Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:28:42.6102338Z ##[endgroup] 2025-12-04T08:28:42.6181255Z Docker daemon is running... 2025-12-04T08:28:42.6211983Z ##[group]Run nick-fields/retry@v3.0.0 2025-12-04T08:28:42.6212175Z with: 2025-12-04T08:28:42.6212317Z shell: bash 2025-12-04T08:28:42.6212469Z timeout_minutes: 5 2025-12-04T08:28:42.6212628Z max_attempts: 3 2025-12-04T08:28:42.6212781Z retry_wait_seconds: 30 2025-12-04T08:28:42.6213995Z command: AWS_ACCOUNT_ID=$(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 2025-12-04T08:28:42.6215178Z polling_interval_seconds: 1 2025-12-04T08:28:42.6215357Z warning_on_retry: true 2025-12-04T08:28:42.6215525Z continue_on_error: false 2025-12-04T08:28:42.6215851Z env: 2025-12-04T08:28:42.6216001Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:28:42.6216172Z AWS_RETRY_MODE: standard 2025-12-04T08:28:42.6216332Z AWS_MAX_ATTEMPTS: 5 2025-12-04T08:28:42.6216504Z AWS_DEFAULT_REGION: us-east-1 2025-12-04T08:28:42.6216779Z ##[endgroup] 2025-12-04T08:28:43.4910049Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-12-04T08:28:43.4910433Z Configure a credential helper to remove this warning. See 2025-12-04T08:28:43.4910781Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-12-04T08:28:43.4911011Z 2025-12-04T08:28:43.4911236Z Login Succeeded 2025-12-04T08:28:43.6868255Z Command completed after 1 attempt(s). 2025-12-04T08:28:43.6931100Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T08:28:43.6931433Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T08:28:43.6931711Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T08:28:43.6938354Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:28:43.6938583Z env: 2025-12-04T08:28:43.6938740Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:28:43.6938950Z ##[endgroup] 2025-12-04T08:28:43.7014932Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-12-04T08:28:43.7015276Z # ignore expansion of "docker ps -q" since it could be empty 2025-12-04T08:28:43.7015541Z # shellcheck disable=SC2046 2025-12-04T08:28:43.7015977Z docker stop $(docker ps -q) || true 2025-12-04T08:28:43.7016198Z # Prune all of the docker images 2025-12-04T08:28:43.7016415Z docker system prune -af 2025-12-04T08:28:43.7020365Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:28:43.7020600Z env: 2025-12-04T08:28:43.7020747Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:28:43.7020919Z ##[endgroup] 2025-12-04T08:28:43.7434821Z "docker stop" requires at least 1 argument. 2025-12-04T08:28:43.7435199Z See 'docker stop --help'. 2025-12-04T08:28:43.7437739Z 2025-12-04T08:28:43.7437898Z Usage: docker stop [OPTIONS] CONTAINER [CONTAINER...] 2025-12-04T08:28:43.7438068Z 2025-12-04T08:28:43.7438260Z Stop one or more running containers 2025-12-04T08:28:43.7695828Z Total reclaimed space: 0B 2025-12-04T08:28:43.7824908Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main 2025-12-04T08:28:43.7825190Z with: 2025-12-04T08:28:43.7825672Z docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:28:43.7826232Z use-custom-docker-registry: true 2025-12-04T08:28:43.7826438Z docker-build-dir: .ci/docker 2025-12-04T08:28:43.7826629Z docker-build-script: ./build.sh 2025-12-04T08:28:43.7826812Z working-directory: . 2025-12-04T08:28:43.7827032Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:28:43.7827270Z force-push: false 2025-12-04T08:28:43.7827414Z env: 2025-12-04T08:28:43.7827559Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:28:43.7827728Z ##[endgroup] 2025-12-04T08:28:43.7848313Z ##[group]Run set -ex 2025-12-04T08:28:43.7848516Z set -ex 2025-12-04T08:28:43.7848682Z  2025-12-04T08:28:43.7848949Z # If the docker build directory or the build script doesn't exist, the action will 2025-12-04T08:28:43.7849321Z # gracefully return the docker image name as it is. Pulling docker image in Linux 2025-12-04T08:28:43.7849642Z # job could then download the pre-built image as usual 2025-12-04T08:28:43.7850026Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then 2025-12-04T08:28:43.7850381Z  echo "skip=false" >> "${GITHUB_OUTPUT}" 2025-12-04T08:28:43.7850581Z else 2025-12-04T08:28:43.7850751Z  echo "skip=true" >> "${GITHUB_OUTPUT}" 2025-12-04T08:28:43.7851012Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-12-04T08:28:43.7851242Z  2025-12-04T08:28:43.7851560Z  echo "Not using custom ECR registry. Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..." 2025-12-04T08:28:43.7851998Z  exit 0 2025-12-04T08:28:43.7852138Z fi 2025-12-04T08:28:43.7852281Z  2025-12-04T08:28:43.7852490Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then 2025-12-04T08:28:43.7852830Z  # The docker image name already includes the ECR prefix and tag, so we can just 2025-12-04T08:28:43.7853129Z  # use it as it is, but first let's extract the tag 2025-12-04T08:28:43.7853412Z  DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}') 2025-12-04T08:28:43.7853709Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-12-04T08:28:43.7853985Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-12-04T08:28:43.7854223Z else 2025-12-04T08:28:43.7854400Z  if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then 2025-12-04T08:28:43.7854635Z  CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:} 2025-12-04T08:28:43.7854873Z  DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*} 2025-12-04T08:28:43.7855075Z  fi 2025-12-04T08:28:43.7855346Z  DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}") 2025-12-04T08:28:43.7855678Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-12-04T08:28:43.7856032Z  echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-12-04T08:28:43.7856412Z  echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}" 2025-12-04T08:28:43.7856658Z fi 2025-12-04T08:28:43.7861466Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:28:43.7861698Z env: 2025-12-04T08:28:43.7861850Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:28:43.7862018Z REPO_NAME: pytorch 2025-12-04T08:28:43.7862601Z DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:28:43.7863107Z DOCKER_BUILD_DIR: .ci/docker 2025-12-04T08:28:43.7863291Z DOCKER_BUILD_SCRIPT: ./build.sh 2025-12-04T08:28:43.7863522Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:28:43.7863766Z USE_CUSTOM_DOCKER_REGISTRY: true 2025-12-04T08:28:43.7863954Z CUSTOM_TAG_PREFIX: 2025-12-04T08:28:43.7864109Z ##[endgroup] 2025-12-04T08:28:43.7887592Z + [[ -d .ci/docker ]] 2025-12-04T08:28:43.7889453Z + [[ -f .ci/docker/./build.sh ]] 2025-12-04T08:28:43.7889685Z + [[ true == \t\r\u\e ]] 2025-12-04T08:28:43.7889868Z + echo skip=false 2025-12-04T08:28:43.7890523Z + [[ 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a == *\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* ]] 2025-12-04T08:28:43.7894872Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:28:43.7895790Z ++ awk -F '[:,]' '{print $2}' 2025-12-04T08:28:43.7997604Z + DOCKER_TAG=pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:28:43.7999609Z + echo docker-tag=pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:28:43.8000413Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:28:43.8024913Z ##[group]Run set +e 2025-12-04T08:28:43.8025127Z set +e 2025-12-04T08:28:43.8025282Z set -x 2025-12-04T08:28:43.8025434Z  2025-12-04T08:28:43.8025580Z login() { 2025-12-04T08:28:43.8025866Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-12-04T08:28:43.8026269Z } 2025-12-04T08:28:43.8026411Z  2025-12-04T08:28:43.8026544Z retry () { 2025-12-04T08:28:43.8026722Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-12-04T08:28:43.8026919Z } 2025-12-04T08:28:43.8027048Z  2025-12-04T08:28:43.8027201Z retry login "${DOCKER_REGISTRY}" 2025-12-04T08:28:43.8027393Z  2025-12-04T08:28:43.8027540Z START_TIME=$(date +%s) 2025-12-04T08:28:43.8027727Z # Wait up to 120 minutes 2025-12-04T08:28:43.8027957Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do 2025-12-04T08:28:43.8028245Z  # Check if image already exists, if it does then skip building it 2025-12-04T08:28:43.8028523Z  if docker manifest inspect "${DOCKER_IMAGE}"; then 2025-12-04T08:28:43.8028739Z  exit 0 2025-12-04T08:28:43.8028889Z  fi 2025-12-04T08:28:43.8029026Z  2025-12-04T08:28:43.8029261Z  # NB: This flag is used by Docker build workflow to push the image to ECR, so we can 2025-12-04T08:28:43.8029634Z  # use this to differentiate between the Docker build and regular build jobs. For the 2025-12-04T08:28:43.8030000Z  # latter, it will wait for the Docker images to become available before continuing 2025-12-04T08:28:43.8030295Z  if [ "${DOCKER_PUSH:-false}" == "true" ]; then 2025-12-04T08:28:43.8030542Z  # It's a Docker build job, let's build the image 2025-12-04T08:28:43.8030750Z  break 2025-12-04T08:28:43.8030901Z  else 2025-12-04T08:28:43.8031105Z  # It's a regular build job, wait for the image to become available 2025-12-04T08:28:43.8031350Z  sleep 300 2025-12-04T08:28:43.8031510Z  fi 2025-12-04T08:28:43.8031648Z done 2025-12-04T08:28:43.8031788Z  2025-12-04T08:28:43.8032005Z # NB: This part requires a full checkout. Otherwise, the merge base will 2025-12-04T08:28:43.8032403Z # be empty. The default action would be to continue rebuild the image 2025-12-04T08:28:43.8032704Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then 2025-12-04T08:28:43.8032973Z  # if we're on the base branch then use the parent commit 2025-12-04T08:28:43.8033213Z  MERGE_BASE=$(git rev-parse HEAD~) 2025-12-04T08:28:43.8033396Z else 2025-12-04T08:28:43.8033601Z  # otherwise we're on a PR, so use the most recent base commit 2025-12-04T08:28:43.8033878Z  MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION") 2025-12-04T08:28:43.8034084Z fi 2025-12-04T08:28:43.8034228Z  2025-12-04T08:28:43.8034381Z if [[ -z "${MERGE_BASE}" ]]; then 2025-12-04T08:28:43.8034598Z  echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-12-04T08:28:43.8034790Z  2025-12-04T08:28:43.8035065Z  echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..." 2025-12-04T08:28:43.8035374Z  exit 0 2025-12-04T08:28:43.8035513Z fi 2025-12-04T08:28:43.8035650Z  2025-12-04T08:28:43.8035845Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then 2025-12-04T08:28:43.8036228Z  echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit" 2025-12-04T08:28:43.8036543Z  exit 1 2025-12-04T08:28:43.8036692Z fi 2025-12-04T08:28:43.8036825Z  2025-12-04T08:28:43.8037040Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}") 2025-12-04T08:28:43.8037400Z # If no image exists but the hash is the same as the previous hash then we should error out here 2025-12-04T08:28:43.8037729Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then 2025-12-04T08:28:43.8038105Z  echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch" 2025-12-04T08:28:43.8038560Z  echo " Will re-build docker image to store in local cache, TTS may be longer" 2025-12-04T08:28:43.8038820Z fi 2025-12-04T08:28:43.8038956Z  2025-12-04T08:28:43.8039117Z echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-12-04T08:28:43.8043096Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:28:43.8043327Z env: 2025-12-04T08:28:43.8043482Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:28:43.8043658Z DOCKER_BUILD_DIR: .ci/docker 2025-12-04T08:28:43.8043888Z BASE_REVISION: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:28:43.8044444Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:28:43.8045114Z DOCKER_TAG: pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:28:43.8045542Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:28:43.8045778Z DOCKER_PUSH: 2025-12-04T08:28:43.8045934Z ##[endgroup] 2025-12-04T08:28:43.8067442Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:28:43.8069253Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:28:43.8073507Z + aws ecr get-login-password --region us-east-1 2025-12-04T08:28:43.8077167Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:28:44.2140381Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-12-04T08:28:44.2140804Z Configure a credential helper to remove this warning. See 2025-12-04T08:28:44.2141210Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-12-04T08:28:44.2141445Z 2025-12-04T08:28:44.2141518Z Login Succeeded 2025-12-04T08:28:44.2160003Z ++ date +%s 2025-12-04T08:28:44.2172088Z + START_TIME=1764836924 2025-12-04T08:28:44.2174153Z ++ date +%s 2025-12-04T08:28:44.2183258Z + [[ 1764829724 -lt 1764836924 ]] 2025-12-04T08:28:44.2184050Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:28:44.4283501Z { 2025-12-04T08:28:44.4285581Z "schemaVersion": 2, 2025-12-04T08:28:44.4285981Z "mediaType": "application/vnd.docker.distribution.manifest.v2+json", 2025-12-04T08:28:44.4290977Z "config": { 2025-12-04T08:28:44.4293372Z "mediaType": "application/vnd.docker.container.image.v1+json", 2025-12-04T08:28:44.4297572Z + exit 0 2025-12-04T08:28:44.4297753Z "size": 33581, 2025-12-04T08:28:44.4298288Z "digest": "sha256:40bd34edc3497e05e2150804a15313235b6426bcc4b8c19c03c3daf5524be913" 2025-12-04T08:28:44.4298594Z }, 2025-12-04T08:28:44.4298957Z "layers": [ 2025-12-04T08:28:44.4299135Z { 2025-12-04T08:28:44.4299403Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:28:44.4299688Z "size": 30447951, 2025-12-04T08:28:44.4300037Z "digest": "sha256:63e5bc7682b85ae57a1221210f64d62e7a90b0a30f19af4ca734b8242ae49d63" 2025-12-04T08:28:44.4300318Z }, 2025-12-04T08:28:44.4300530Z { 2025-12-04T08:28:44.4300736Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:28:44.4300997Z "size": 1554, 2025-12-04T08:28:44.4301254Z "digest": "sha256:6dc15eca51381c13be16385052dd2378ab1dce5fb77f7e7bceab34ed72e6e0e5" 2025-12-04T08:28:44.4301519Z }, 2025-12-04T08:28:44.4301648Z { 2025-12-04T08:28:44.4301848Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:28:44.4302086Z "size": 313274856, 2025-12-04T08:28:44.4302344Z "digest": "sha256:459f4df18f07c473cb662e8033f9dab9f68c9ac71608767ad055999fae6b31e2" 2025-12-04T08:28:44.4302612Z }, 2025-12-04T08:28:44.4302732Z { 2025-12-04T08:28:44.4302932Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:28:44.4303307Z "size": 787, 2025-12-04T08:28:44.4303559Z "digest": "sha256:82108541691974f1cc469d0ec89a048191b8de4dc36bf9a0184a4bd50120b69d" 2025-12-04T08:28:44.4303820Z }, 2025-12-04T08:28:44.4303947Z { 2025-12-04T08:28:44.4304146Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:28:44.4304377Z "size": 106, 2025-12-04T08:28:44.4304621Z "digest": "sha256:3738646b3d92a3f1b6529ba588c00216c306c997ad77730f207c7107c2e5aff3" 2025-12-04T08:28:44.4304885Z }, 2025-12-04T08:28:44.4305007Z { 2025-12-04T08:28:44.4305206Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:28:44.4305445Z "size": 704, 2025-12-04T08:28:44.4305677Z "digest": "sha256:aa9a10a37b3945f69568695fa4a9321333654a69dd44c55eff4e26bf9bffcad1" 2025-12-04T08:28:44.4305942Z }, 2025-12-04T08:28:44.4306068Z { 2025-12-04T08:28:44.4306262Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:28:44.4306492Z "size": 1218, 2025-12-04T08:28:44.4306745Z "digest": "sha256:55bac08f3e18897f61d3e7f28ada6547b05b3c36f559a882656834d43de61478" 2025-12-04T08:28:44.4307010Z }, 2025-12-04T08:28:44.4307128Z { 2025-12-04T08:28:44.4307325Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:28:44.4307563Z "size": 485, 2025-12-04T08:28:44.4307806Z "digest": "sha256:acf6468f6aadc3613e3b8fe73c016ce8d6f47f01e0cfee3a1015d0335c24d691" 2025-12-04T08:28:44.4308082Z }, 2025-12-04T08:28:44.4308208Z { 2025-12-04T08:28:44.4308398Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:28:44.4308638Z "size": 110362453, 2025-12-04T08:28:44.4308896Z "digest": "sha256:c0c31a0e69b798875a8d2c05d01a6861b2fe623e1970bf7faf822e7df6691d2c" 2025-12-04T08:28:44.4309162Z }, 2025-12-04T08:28:44.4309280Z { 2025-12-04T08:28:44.4309471Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:28:44.4309704Z "size": 4961, 2025-12-04T08:28:44.4309943Z "digest": "sha256:0f7d0dc70d2d944cc1c8a592f051d3f28d2b062c79166713fb7cc9225b4c97c0" 2025-12-04T08:28:44.4310302Z }, 2025-12-04T08:28:44.4310426Z { 2025-12-04T08:28:44.4310617Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:28:44.4310857Z "size": 1756, 2025-12-04T08:28:44.4311105Z "digest": "sha256:58c4d15d3bc18a789eb0d1a13f68df0b1d6cea66697fe63adf11b53fec74ba18" 2025-12-04T08:28:44.4311366Z }, 2025-12-04T08:28:44.4311495Z { 2025-12-04T08:28:44.4311693Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:28:44.4311926Z "size": 724, 2025-12-04T08:28:44.4312182Z "digest": "sha256:2f1cc47b61e1ebefa16f8ee12c5a1df77b109a84a8e8f425e7d65ec51cafdb93" 2025-12-04T08:28:44.4312456Z }, 2025-12-04T08:28:44.4312583Z { 2025-12-04T08:28:44.4312775Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:28:44.4313017Z "size": 543, 2025-12-04T08:28:44.4313262Z "digest": "sha256:d2472a74103d877e6532d6409a2ac9d54db6672b5d3002be011fdbbd8d360c49" 2025-12-04T08:28:44.4313526Z }, 2025-12-04T08:28:44.4313654Z { 2025-12-04T08:28:44.4313854Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:28:44.4314093Z "size": 3353192867, 2025-12-04T08:28:44.4314351Z "digest": "sha256:d1fba72936888ea8f8e4c7ad015bfcf3285017b95f3d72795d5b6a0b0ded36fc" 2025-12-04T08:28:44.4314623Z }, 2025-12-04T08:28:44.4314741Z { 2025-12-04T08:28:44.4314940Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:28:44.4315182Z "size": 32, 2025-12-04T08:28:44.4315425Z "digest": 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"sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-12-04T08:28:44.4421631Z }, 2025-12-04T08:28:44.4421755Z { 2025-12-04T08:28:44.4421955Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:28:44.4422192Z "size": 188, 2025-12-04T08:28:44.4422432Z "digest": "sha256:a116a32ceaa15bbd55b0f4281fb0040de221c62e29659b23dd71ecd2382a969a" 2025-12-04T08:28:44.4422705Z }, 2025-12-04T08:28:44.4422831Z { 2025-12-04T08:28:44.4423021Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:28:44.4423257Z "size": 1371, 2025-12-04T08:28:44.4423510Z "digest": "sha256:f6fbbbe6067e383cadb530c3f53b113e9826843fb2348ea1f9a000a4790fa822" 2025-12-04T08:28:44.4423774Z }, 2025-12-04T08:28:44.4423899Z { 2025-12-04T08:28:44.4424100Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:28:44.4424331Z "size": 32, 2025-12-04T08:28:44.4424577Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-12-04T08:28:44.4424853Z }, 2025-12-04T08:28:44.4424972Z { 2025-12-04T08:28:44.4425234Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:28:44.4425472Z "size": 137, 2025-12-04T08:28:44.4425714Z "digest": "sha256:648018658875ac3356b277abe3d98df9a8b7a0345f131598c07f5e9f9318b740" 2025-12-04T08:28:44.4425970Z }, 2025-12-04T08:28:44.4426096Z { 2025-12-04T08:28:44.4426296Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:28:44.4426528Z "size": 528, 2025-12-04T08:28:44.4426786Z "digest": "sha256:5e2f7eac20ad5128eebe0ba7dbd08111d28e7f65c26c7fea7cd6dc7a2c0725b9" 2025-12-04T08:28:44.4427069Z }, 2025-12-04T08:28:44.4427189Z { 2025-12-04T08:28:44.4427390Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:28:44.4427629Z "size": 32, 2025-12-04T08:28:44.4427867Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-12-04T08:28:44.4428137Z }, 2025-12-04T08:28:44.4428264Z { 2025-12-04T08:28:44.4428454Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:28:44.4428699Z "size": 104, 2025-12-04T08:28:44.4428944Z "digest": "sha256:0d1243af7593a042ff443492a4cac70f817dc8c56ac45a0c138d102f40c1cc07" 2025-12-04T08:28:44.4429209Z }, 2025-12-04T08:28:44.4429326Z { 2025-12-04T08:28:44.4429523Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:28:44.4429760Z "size": 435, 2025-12-04T08:28:44.4430001Z "digest": "sha256:1f6d5b941ea1f6f07c190f5ca1d4a5172e4d696ad597ae58dcd37b297f60b556" 2025-12-04T08:28:44.4430270Z }, 2025-12-04T08:28:44.4430397Z { 2025-12-04T08:28:44.4430587Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:28:44.4430825Z "size": 32, 2025-12-04T08:28:44.4431067Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-12-04T08:28:44.4431328Z }, 2025-12-04T08:28:44.4431450Z { 2025-12-04T08:28:44.4431647Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:28:44.4431884Z "size": 107, 2025-12-04T08:28:44.4432163Z "digest": "sha256:4444f70d73cefec9f161242e9def76078af5abc7a3ad3e5d6e7d4f1efed07939" 2025-12-04T08:28:44.4432435Z }, 2025-12-04T08:28:44.4432559Z { 2025-12-04T08:28:44.4432748Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:28:44.4432983Z "size": 1896, 2025-12-04T08:28:44.4433227Z "digest": "sha256:bf45550ddbad2524852930466f963e432429f2b86f7f6ccf0415fc56980004ce" 2025-12-04T08:28:44.4433483Z }, 2025-12-04T08:28:44.4433607Z { 2025-12-04T08:28:44.4433800Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:28:44.4434035Z "size": 245588924, 2025-12-04T08:28:44.4434291Z "digest": "sha256:30fff4f4bad325a3a2d91463ca6702c411392e5b0646a5cd4f47fcae56c55639" 2025-12-04T08:28:44.4434558Z }, 2025-12-04T08:28:44.4434676Z { 2025-12-04T08:28:44.4434874Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:28:44.4435112Z "size": 106, 2025-12-04T08:28:44.4435364Z "digest": "sha256:cca4db1ba155a3afd1fd645cd3223e9a4de9c785f8559387f21da187672d9e9e" 2025-12-04T08:28:44.4435629Z }, 2025-12-04T08:28:44.4435755Z { 2025-12-04T08:28:44.4435955Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:28:44.4436185Z "size": 165, 2025-12-04T08:28:44.4436432Z "digest": "sha256:f0ffa379f4eba2f3ddc323f45f226f39aed5a7e93880884a97bd4d6a91864dc1" 2025-12-04T08:28:44.4436707Z }, 2025-12-04T08:28:44.4436825Z { 2025-12-04T08:28:44.4437024Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:28:44.4437260Z "size": 7942, 2025-12-04T08:28:44.4437496Z "digest": "sha256:df645e678f95db120f96e4c4c66400d315ed9214d9085216b417348cf682d43a" 2025-12-04T08:28:44.4437760Z }, 2025-12-04T08:28:44.4437886Z { 2025-12-04T08:28:44.4438075Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:28:44.4438315Z "size": 8076, 2025-12-04T08:28:44.4438565Z "digest": "sha256:52ad6c17d10308710fb2dc855f911246b7a369ccf5c3142cb3ad7fb182f708b8" 2025-12-04T08:28:44.4438871Z }, 2025-12-04T08:28:44.4438990Z { 2025-12-04T08:28:44.4439183Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:28:44.4439419Z "size": 302, 2025-12-04T08:28:44.4439652Z "digest": "sha256:34408374e32c70dbcfd7e0516edaa8698c25e6e3dbcd920978f2b3a801bbe659" 2025-12-04T08:28:44.4439917Z }, 2025-12-04T08:28:44.4440044Z { 2025-12-04T08:28:44.4440232Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:28:44.4440468Z "size": 32, 2025-12-04T08:28:44.4440710Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-12-04T08:28:44.4440967Z }, 2025-12-04T08:28:44.4441092Z { 2025-12-04T08:28:44.4441288Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:28:44.4441521Z "size": 108, 2025-12-04T08:28:44.4441761Z "digest": "sha256:27803b661d9e2cb1ce49c0a100ce824fbcbdd1f3a3ceda4ed5affbcb07ac3be4" 2025-12-04T08:28:44.4442031Z }, 2025-12-04T08:28:44.4442158Z { 2025-12-04T08:28:44.4442426Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:28:44.4442675Z "size": 54145699, 2025-12-04T08:28:44.4442934Z "digest": "sha256:07dafc893dea952d7677124b42e90b29b167fabe81e8a9d8b3fb4b0aa11b66ec" 2025-12-04T08:28:44.4443204Z }, 2025-12-04T08:28:44.4443336Z { 2025-12-04T08:28:44.4443556Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:28:44.4443803Z "size": 32, 2025-12-04T08:28:44.4444055Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-12-04T08:28:44.4444331Z } 2025-12-04T08:28:44.4444452Z ] 2025-12-04T08:28:44.4444589Z } 2025-12-04T08:28:44.4493389Z ##[group]Run set -eux 2025-12-04T08:28:44.4493593Z set -eux 2025-12-04T08:28:44.4493842Z # It's ok if this steps fails, it would then be an anonymous user like what we used to have 2025-12-04T08:28:44.4494539Z aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token | jq --raw-output '.SecretString' | jq -r .docker_hub_readonly_token | docker login --username pytorchbot --password-stdin || true 2025-12-04T08:28:44.4499798Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:28:44.4500028Z env: 2025-12-04T08:28:44.4500171Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:28:44.4500342Z ##[endgroup] 2025-12-04T08:28:44.4529140Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token 2025-12-04T08:28:44.4529596Z + jq -r .docker_hub_readonly_token 2025-12-04T08:28:44.4529835Z + jq --raw-output .SecretString 2025-12-04T08:28:44.4530083Z + docker login --username pytorchbot --password-stdin 2025-12-04T08:28:44.8895214Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-12-04T08:28:44.8895675Z Configure a credential helper to remove this warning. See 2025-12-04T08:28:44.8896082Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-12-04T08:28:44.8896373Z 2025-12-04T08:28:44.8896447Z Login Succeeded 2025-12-04T08:28:44.8982513Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:} 2025-12-04T08:28:44.8982769Z tag=${ECR_DOCKER_IMAGE##*:} 2025-12-04T08:28:44.8983015Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}" 2025-12-04T08:28:44.8987523Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:28:44.8987753Z env: 2025-12-04T08:28:44.8987900Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:28:44.8988423Z ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:28:44.8988930Z ##[endgroup] 2025-12-04T08:28:44.9011731Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:28:44.9059775Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main 2025-12-04T08:28:44.9060287Z with: 2025-12-04T08:28:44.9060762Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:28:44.9061313Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:28:44.9061550Z env: 2025-12-04T08:28:44.9061694Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:28:44.9061873Z ##[endgroup] 2025-12-04T08:28:44.9081329Z ##[group]Run set -x 2025-12-04T08:28:44.9081517Z set -x 2025-12-04T08:28:44.9081661Z set +e 2025-12-04T08:28:44.9081808Z  2025-12-04T08:28:44.9081948Z login() { 2025-12-04T08:28:44.9082358Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-12-04T08:28:44.9082815Z } 2025-12-04T08:28:44.9083018Z  2025-12-04T08:28:44.9083255Z retry () { 2025-12-04T08:28:44.9083491Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-12-04T08:28:44.9083784Z } 2025-12-04T08:28:44.9083976Z  2025-12-04T08:28:44.9084196Z retry login "${DOCKER_REGISTRY}" 2025-12-04T08:28:44.9084436Z  2025-12-04T08:28:44.9084716Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024') 2025-12-04T08:28:44.9085261Z echo "Compressed size of image in MB: ${IMAGE_SIZE}" 2025-12-04T08:28:44.9085643Z  2025-12-04T08:28:44.9085807Z set -e 2025-12-04T08:28:44.9086057Z # ignore output since only exit code is used for conditional 2025-12-04T08:28:44.9086368Z # only pull docker image if it's not available locally 2025-12-04T08:28:44.9086716Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then 2025-12-04T08:28:44.9087058Z  retry docker pull "${DOCKER_IMAGE}" 2025-12-04T08:28:44.9087281Z fi 2025-12-04T08:28:44.9092510Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:28:44.9092764Z env: 2025-12-04T08:28:44.9092921Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:28:44.9093505Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:28:44.9094244Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:28:44.9094510Z ##[endgroup] 2025-12-04T08:28:44.9113840Z + set +e 2025-12-04T08:28:44.9114092Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:28:44.9114372Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:28:44.9119132Z + aws ecr get-login-password --region us-east-1 2025-12-04T08:28:44.9121465Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:28:45.2992167Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-12-04T08:28:45.2992547Z Login Succeeded 2025-12-04T08:28:45.2992818Z Configure a credential helper to remove this warning. See 2025-12-04T08:28:45.2993215Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-12-04T08:28:45.2993471Z 2025-12-04T08:28:45.3008626Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:28:45.3010432Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024' 2025-12-04T08:28:45.5314542Z + IMAGE_SIZE=29010.187264442444 2025-12-04T08:28:45.5314834Z Compressed size of image in MB: 29010.187264442444 2025-12-04T08:28:45.5318825Z + echo 'Compressed size of image in MB: 29010.187264442444' 2025-12-04T08:28:45.5323697Z + set -e 2025-12-04T08:28:45.5328443Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:28:45.5439601Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:28:45.5440466Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:28:45.8269668Z pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a: Pulling from pytorch/ci-image 2025-12-04T08:28:45.8279295Z 63e5bc7682b8: Pulling fs layer 2025-12-04T08:28:45.8279566Z 6dc15eca5138: Pulling fs layer 2025-12-04T08:28:45.8279824Z 459f4df18f07: Pulling fs layer 2025-12-04T08:28:45.8281413Z 821085416919: Pulling fs layer 2025-12-04T08:28:45.8281594Z 3738646b3d92: Pulling fs layer 2025-12-04T08:28:45.8281767Z aa9a10a37b39: Pulling fs layer 2025-12-04T08:28:45.8281981Z 55bac08f3e18: Pulling fs layer 2025-12-04T08:28:45.8282189Z acf6468f6aad: Pulling fs layer 2025-12-04T08:28:45.8282448Z c0c31a0e69b7: Pulling fs layer 2025-12-04T08:28:45.8282626Z 0f7d0dc70d2d: Pulling fs layer 2025-12-04T08:28:45.8282804Z 58c4d15d3bc1: Pulling fs layer 2025-12-04T08:28:45.8282975Z 2f1cc47b61e1: Pulling fs layer 2025-12-04T08:28:45.8283143Z d2472a74103d: Pulling fs layer 2025-12-04T08:28:45.8283364Z d1fba7293688: Pulling fs layer 2025-12-04T08:28:45.8283540Z 4f4fb700ef54: Pulling fs layer 2025-12-04T08:28:45.8283717Z 6a9b03ce41a7: Pulling fs layer 2025-12-04T08:28:45.8283884Z 3519ac15be79: Pulling fs layer 2025-12-04T08:28:45.8284059Z dabb51b819a0: Pulling fs layer 2025-12-04T08:28:45.8284235Z 8f36833a24d0: Pulling fs layer 2025-12-04T08:28:45.8284402Z ab53c5a853a5: Pulling fs layer 2025-12-04T08:28:45.8284578Z 025a0e5e6ac1: Pulling fs layer 2025-12-04T08:28:45.8284752Z ce3394c8f210: Pulling fs layer 2025-12-04T08:28:45.8284917Z a5c3888c3a0c: Pulling fs layer 2025-12-04T08:28:45.8285097Z ed902a3a4e3b: Pulling fs layer 2025-12-04T08:28:45.8285274Z b4e1efca22be: Pulling fs layer 2025-12-04T08:28:45.8285451Z 79fcfd297d9f: Pulling fs layer 2025-12-04T08:28:45.8285631Z 7bd89c134b49: Pulling fs layer 2025-12-04T08:28:45.8285803Z b7d40b4fd1b9: Pulling fs layer 2025-12-04T08:28:45.8285975Z dd1cdd87320d: Pulling fs layer 2025-12-04T08:28:45.8286139Z c21a6e1cd03a: Pulling fs layer 2025-12-04T08:28:45.8286312Z 0aa3ea0b2754: Pulling fs layer 2025-12-04T08:28:45.8286486Z 74e0bdbb05d3: Pulling fs layer 2025-12-04T08:28:45.8286654Z ba3aee7dcf03: Pulling fs layer 2025-12-04T08:28:45.8286826Z 8c8d59b8759d: Pulling fs layer 2025-12-04T08:28:45.8286996Z 3c960865867b: Pulling fs layer 2025-12-04T08:28:45.8287159Z 55bac08f3e18: Waiting 2025-12-04T08:28:45.8287325Z 074db79e3832: Pulling fs layer 2025-12-04T08:28:45.8287497Z 226748f4ff23: Pulling fs layer 2025-12-04T08:28:45.8287657Z acf6468f6aad: Waiting 2025-12-04T08:28:45.8287818Z 75d817336f1d: Pulling fs layer 2025-12-04T08:28:45.8287987Z c0c31a0e69b7: Waiting 2025-12-04T08:28:45.8288142Z 850870a17b94: Pulling fs layer 2025-12-04T08:28:45.8288313Z 0f7d0dc70d2d: Waiting 2025-12-04T08:28:45.8288466Z 58c4d15d3bc1: Waiting 2025-12-04T08:28:45.8288617Z e6225129924f: Pulling fs layer 2025-12-04T08:28:45.8288791Z 5cd6b9ec5c3c: Pulling fs layer 2025-12-04T08:28:45.8288954Z 2f1cc47b61e1: Waiting 2025-12-04T08:28:45.8289112Z 613d2b1f3db8: Pulling fs layer 2025-12-04T08:28:45.8289270Z d2472a74103d: Waiting 2025-12-04T08:28:45.8289424Z 388169fffe8a: Pulling fs layer 2025-12-04T08:28:45.8289595Z 6ca498e78b7b: Pulling fs layer 2025-12-04T08:28:45.8289752Z d1fba7293688: Waiting 2025-12-04T08:28:45.8289910Z 952b753ec7be: Pulling fs layer 2025-12-04T08:28:45.8290084Z 5b6f6de4bdd1: Pulling fs layer 2025-12-04T08:28:45.8290243Z 4f4fb700ef54: Waiting 2025-12-04T08:28:45.8290402Z fa23d9952f3c: Pulling fs layer 2025-12-04T08:28:45.8290574Z c2aa9ea4d09a: Pulling fs layer 2025-12-04T08:28:45.8290741Z a9bbc9e426d3: Pulling fs layer 2025-12-04T08:28:45.8290909Z 6a9b03ce41a7: Waiting 2025-12-04T08:28:45.8291302Z 82f2371f6dc2: Pulling fs layer 2025-12-04T08:28:45.8291467Z 3519ac15be79: Waiting 2025-12-04T08:28:45.8291732Z c87301921afa: Pulling fs layer 2025-12-04T08:28:45.8291904Z dabb51b819a0: Waiting 2025-12-04T08:28:45.8292056Z 384d566a822f: Pulling fs layer 2025-12-04T08:28:45.8292225Z 8f36833a24d0: Waiting 2025-12-04T08:28:45.8292385Z 32ddcdd5dd69: Pulling fs layer 2025-12-04T08:28:45.8292562Z a116a32ceaa1: Pulling fs layer 2025-12-04T08:28:45.8292732Z f6fbbbe6067e: Pulling fs layer 2025-12-04T08:28:45.8292908Z 648018658875: Pulling fs layer 2025-12-04T08:28:45.8293076Z ab53c5a853a5: Waiting 2025-12-04T08:28:45.8293230Z 5e2f7eac20ad: Pulling fs layer 2025-12-04T08:28:45.8293400Z 025a0e5e6ac1: Waiting 2025-12-04T08:28:45.8293559Z ce3394c8f210: Waiting 2025-12-04T08:28:45.8293712Z 0d1243af7593: Pulling fs layer 2025-12-04T08:28:45.8293879Z a5c3888c3a0c: Waiting 2025-12-04T08:28:45.8294035Z 1f6d5b941ea1: Pulling fs layer 2025-12-04T08:28:45.8294201Z 4444f70d73ce: Pulling fs layer 2025-12-04T08:28:45.8294375Z bf45550ddbad: Pulling fs layer 2025-12-04T08:28:45.8294551Z 30fff4f4bad3: Pulling fs layer 2025-12-04T08:28:45.8294722Z cca4db1ba155: Pulling fs layer 2025-12-04T08:28:45.8294888Z 74e0bdbb05d3: Waiting 2025-12-04T08:28:45.8295047Z f0ffa379f4eb: Pulling fs layer 2025-12-04T08:28:45.8295211Z df645e678f95: Pulling fs layer 2025-12-04T08:28:45.8295379Z ba3aee7dcf03: Waiting 2025-12-04T08:28:45.8295536Z 52ad6c17d103: Pulling fs layer 2025-12-04T08:28:45.8295700Z 34408374e32c: Pulling fs layer 2025-12-04T08:28:45.8295866Z b7d40b4fd1b9: Waiting 2025-12-04T08:28:45.8296022Z 27803b661d9e: Pulling fs layer 2025-12-04T08:28:45.8296187Z 8c8d59b8759d: Waiting 2025-12-04T08:28:45.8296333Z dd1cdd87320d: Waiting 2025-12-04T08:28:45.8296484Z ed902a3a4e3b: Waiting 2025-12-04T08:28:45.8296635Z 3c960865867b: Waiting 2025-12-04T08:28:45.8296777Z b4e1efca22be: Waiting 2025-12-04T08:28:45.8296936Z 07dafc893dea: Pulling fs layer 2025-12-04T08:28:45.8297098Z 32ddcdd5dd69: Waiting 2025-12-04T08:28:45.8297240Z 821085416919: Waiting 2025-12-04T08:28:45.8297385Z 3738646b3d92: Waiting 2025-12-04T08:28:45.8297536Z a116a32ceaa1: Waiting 2025-12-04T08:28:45.8297679Z aa9a10a37b39: Waiting 2025-12-04T08:28:45.8297827Z 074db79e3832: Waiting 2025-12-04T08:28:45.8297975Z 226748f4ff23: Waiting 2025-12-04T08:28:45.8298116Z f6fbbbe6067e: Waiting 2025-12-04T08:28:45.8298267Z 79fcfd297d9f: Waiting 2025-12-04T08:28:45.8298417Z 7bd89c134b49: Waiting 2025-12-04T08:28:45.8298560Z 0aa3ea0b2754: Waiting 2025-12-04T08:28:45.8298712Z c21a6e1cd03a: Waiting 2025-12-04T08:28:45.8298860Z 75d817336f1d: Waiting 2025-12-04T08:28:45.8298998Z 850870a17b94: Waiting 2025-12-04T08:28:45.8299144Z 648018658875: Waiting 2025-12-04T08:28:45.8299292Z 4444f70d73ce: Waiting 2025-12-04T08:28:45.8299433Z 27803b661d9e: Waiting 2025-12-04T08:28:45.8299582Z e6225129924f: Waiting 2025-12-04T08:28:45.8299731Z 5cd6b9ec5c3c: Waiting 2025-12-04T08:28:45.8299884Z bf45550ddbad: Waiting 2025-12-04T08:28:45.8300029Z 30fff4f4bad3: Waiting 2025-12-04T08:28:45.8300185Z 613d2b1f3db8: Waiting 2025-12-04T08:28:45.8300335Z 388169fffe8a: Waiting 2025-12-04T08:28:45.8300483Z 5e2f7eac20ad: Waiting 2025-12-04T08:28:45.8300635Z cca4db1ba155: Waiting 2025-12-04T08:28:45.8300785Z 07dafc893dea: Waiting 2025-12-04T08:28:45.8300926Z 0d1243af7593: Waiting 2025-12-04T08:28:45.8301074Z 6ca498e78b7b: Waiting 2025-12-04T08:28:45.8301222Z 952b753ec7be: Waiting 2025-12-04T08:28:45.8301365Z 5b6f6de4bdd1: Waiting 2025-12-04T08:28:45.8301514Z c87301921afa: Waiting 2025-12-04T08:28:45.8301677Z fa23d9952f3c: Waiting 2025-12-04T08:28:45.8301818Z 384d566a822f: Waiting 2025-12-04T08:28:45.8301967Z 52ad6c17d103: Waiting 2025-12-04T08:28:45.8302117Z c2aa9ea4d09a: Waiting 2025-12-04T08:28:45.8302261Z a9bbc9e426d3: Waiting 2025-12-04T08:28:45.8302414Z 82f2371f6dc2: Waiting 2025-12-04T08:28:45.8302562Z 34408374e32c: Waiting 2025-12-04T08:28:45.8302701Z df645e678f95: Waiting 2025-12-04T08:28:45.8302850Z 1f6d5b941ea1: Waiting 2025-12-04T08:28:45.8303000Z f0ffa379f4eb: Waiting 2025-12-04T08:28:45.9102273Z 6dc15eca5138: Verifying Checksum 2025-12-04T08:28:45.9103325Z 6dc15eca5138: Download complete 2025-12-04T08:28:45.9997000Z 821085416919: Verifying Checksum 2025-12-04T08:28:45.9997256Z 821085416919: Download complete 2025-12-04T08:28:46.0939550Z 3738646b3d92: Verifying Checksum 2025-12-04T08:28:46.0939935Z 3738646b3d92: Download complete 2025-12-04T08:28:46.1561938Z aa9a10a37b39: Verifying Checksum 2025-12-04T08:28:46.1562225Z aa9a10a37b39: Download complete 2025-12-04T08:28:46.2470252Z 55bac08f3e18: Verifying Checksum 2025-12-04T08:28:46.2470541Z 55bac08f3e18: Download complete 2025-12-04T08:28:46.3278735Z 63e5bc7682b8: Verifying Checksum 2025-12-04T08:28:46.3279195Z 63e5bc7682b8: Download complete 2025-12-04T08:28:46.3468099Z acf6468f6aad: Verifying Checksum 2025-12-04T08:28:46.3468374Z acf6468f6aad: Download complete 2025-12-04T08:28:46.4332736Z 0f7d0dc70d2d: Download complete 2025-12-04T08:28:46.5153100Z 58c4d15d3bc1: Verifying Checksum 2025-12-04T08:28:46.5153382Z 58c4d15d3bc1: Download complete 2025-12-04T08:28:46.5819423Z 2f1cc47b61e1: Verifying Checksum 2025-12-04T08:28:46.5820062Z 2f1cc47b61e1: Download complete 2025-12-04T08:28:46.6710104Z d2472a74103d: Verifying Checksum 2025-12-04T08:28:46.6712244Z d2472a74103d: Download complete 2025-12-04T08:28:47.2610074Z 63e5bc7682b8: Pull complete 2025-12-04T08:28:47.2875325Z 6dc15eca5138: Pull complete 2025-12-04T08:28:47.5063423Z c0c31a0e69b7: Verifying Checksum 2025-12-04T08:28:47.5063689Z c0c31a0e69b7: Download complete 2025-12-04T08:28:47.5147232Z 4f4fb700ef54: Verifying Checksum 2025-12-04T08:28:47.5147483Z 4f4fb700ef54: Download complete 2025-12-04T08:28:47.5868102Z 6a9b03ce41a7: Verifying Checksum 2025-12-04T08:28:47.5872164Z 6a9b03ce41a7: Download complete 2025-12-04T08:28:47.7483160Z 3519ac15be79: Verifying Checksum 2025-12-04T08:28:47.7483535Z 3519ac15be79: Download complete 2025-12-04T08:28:47.9468519Z dabb51b819a0: Verifying Checksum 2025-12-04T08:28:47.9468786Z dabb51b819a0: Download complete 2025-12-04T08:28:48.0991669Z 8f36833a24d0: Verifying Checksum 2025-12-04T08:28:48.0992247Z 8f36833a24d0: Download complete 2025-12-04T08:28:48.1953064Z ab53c5a853a5: Verifying Checksum 2025-12-04T08:28:48.1954689Z ab53c5a853a5: Download complete 2025-12-04T08:28:48.2977564Z 025a0e5e6ac1: Verifying Checksum 2025-12-04T08:28:48.2978547Z 025a0e5e6ac1: Download complete 2025-12-04T08:28:48.3642790Z ce3394c8f210: Verifying Checksum 2025-12-04T08:28:48.3643089Z ce3394c8f210: Download complete 2025-12-04T08:28:48.4581805Z a5c3888c3a0c: Download complete 2025-12-04T08:28:48.5271942Z ed902a3a4e3b: Verifying Checksum 2025-12-04T08:28:48.5272383Z ed902a3a4e3b: Download complete 2025-12-04T08:28:48.6214586Z b4e1efca22be: Verifying Checksum 2025-12-04T08:28:48.6218719Z b4e1efca22be: Download complete 2025-12-04T08:28:48.6895619Z 79fcfd297d9f: Verifying Checksum 2025-12-04T08:28:48.6895911Z 79fcfd297d9f: Download complete 2025-12-04T08:28:48.7769411Z 7bd89c134b49: Download complete 2025-12-04T08:28:49.0236644Z 459f4df18f07: Verifying Checksum 2025-12-04T08:28:49.0236943Z 459f4df18f07: Download complete 2025-12-04T08:28:49.0879699Z dd1cdd87320d: Download complete 2025-12-04T08:28:49.1603969Z c21a6e1cd03a: Verifying Checksum 2025-12-04T08:28:49.1604278Z c21a6e1cd03a: Download complete 2025-12-04T08:28:49.2520010Z 0aa3ea0b2754: Verifying Checksum 2025-12-04T08:28:49.2520276Z 0aa3ea0b2754: Download complete 2025-12-04T08:28:49.3309671Z 74e0bdbb05d3: Verifying Checksum 2025-12-04T08:28:49.3310083Z 74e0bdbb05d3: Download complete 2025-12-04T08:28:49.6055862Z ba3aee7dcf03: Verifying Checksum 2025-12-04T08:28:49.6056149Z ba3aee7dcf03: Download complete 2025-12-04T08:28:49.6986699Z 8c8d59b8759d: Verifying Checksum 2025-12-04T08:28:49.6987101Z 8c8d59b8759d: Download complete 2025-12-04T08:28:49.7606329Z 3c960865867b: Verifying Checksum 2025-12-04T08:28:49.7606615Z 3c960865867b: Download complete 2025-12-04T08:28:49.8647844Z 074db79e3832: Download complete 2025-12-04T08:28:49.9298396Z 226748f4ff23: Download complete 2025-12-04T08:28:50.0022353Z 75d817336f1d: Verifying Checksum 2025-12-04T08:28:50.0022818Z 75d817336f1d: Download complete 2025-12-04T08:28:53.4723147Z b7d40b4fd1b9: Verifying Checksum 2025-12-04T08:28:53.4723726Z b7d40b4fd1b9: Download complete 2025-12-04T08:28:53.6111879Z e6225129924f: Verifying Checksum 2025-12-04T08:28:53.6112158Z e6225129924f: Download complete 2025-12-04T08:28:53.6893074Z 5cd6b9ec5c3c: Verifying Checksum 2025-12-04T08:28:53.6893361Z 5cd6b9ec5c3c: Download complete 2025-12-04T08:28:53.7780862Z 613d2b1f3db8: Verifying Checksum 2025-12-04T08:28:53.7781133Z 613d2b1f3db8: Download complete 2025-12-04T08:28:57.0405394Z 388169fffe8a: Verifying Checksum 2025-12-04T08:28:57.0405690Z 388169fffe8a: Download complete 2025-12-04T08:28:58.1440054Z 459f4df18f07: Pull complete 2025-12-04T08:28:58.5844503Z 821085416919: Pull complete 2025-12-04T08:28:58.9798912Z 3738646b3d92: Pull complete 2025-12-04T08:28:59.3999308Z aa9a10a37b39: Pull complete 2025-12-04T08:28:59.7523549Z 55bac08f3e18: Pull complete 2025-12-04T08:29:00.0725025Z acf6468f6aad: Pull complete 2025-12-04T08:29:03.0119831Z c0c31a0e69b7: Pull complete 2025-12-04T08:29:03.3699994Z 0f7d0dc70d2d: Pull complete 2025-12-04T08:29:03.6462343Z 58c4d15d3bc1: Pull complete 2025-12-04T08:29:03.8965381Z 2f1cc47b61e1: Pull complete 2025-12-04T08:29:04.2131516Z d2472a74103d: Pull complete 2025-12-04T08:29:39.0047076Z d1fba7293688: Verifying Checksum 2025-12-04T08:29:39.0047501Z d1fba7293688: Download complete 2025-12-04T08:29:39.1091682Z 952b753ec7be: Verifying Checksum 2025-12-04T08:29:39.1091975Z 952b753ec7be: Download complete 2025-12-04T08:29:39.1951793Z 5b6f6de4bdd1: Verifying Checksum 2025-12-04T08:29:39.1953311Z 5b6f6de4bdd1: Download complete 2025-12-04T08:29:39.2729521Z fa23d9952f3c: Verifying Checksum 2025-12-04T08:29:39.2729800Z fa23d9952f3c: Download complete 2025-12-04T08:29:39.3728389Z c2aa9ea4d09a: Download complete 2025-12-04T08:29:39.4474164Z a9bbc9e426d3: Verifying Checksum 2025-12-04T08:29:39.4474445Z a9bbc9e426d3: Download complete 2025-12-04T08:29:39.5473839Z 82f2371f6dc2: Verifying Checksum 2025-12-04T08:29:39.5477469Z 82f2371f6dc2: Download complete 2025-12-04T08:29:39.6346781Z c87301921afa: Download complete 2025-12-04T08:29:39.7218337Z 384d566a822f: Verifying Checksum 2025-12-04T08:29:39.7222767Z 384d566a822f: Download complete 2025-12-04T08:29:39.7964187Z 32ddcdd5dd69: Verifying Checksum 2025-12-04T08:29:39.7964588Z 32ddcdd5dd69: Download complete 2025-12-04T08:29:39.8768102Z a116a32ceaa1: Verifying Checksum 2025-12-04T08:29:39.8768669Z a116a32ceaa1: Download complete 2025-12-04T08:29:40.0483884Z f6fbbbe6067e: Verifying Checksum 2025-12-04T08:29:40.0484149Z f6fbbbe6067e: Download complete 2025-12-04T08:29:40.1393936Z 648018658875: Verifying Checksum 2025-12-04T08:29:40.1395904Z 648018658875: Download complete 2025-12-04T08:29:40.2383264Z 5e2f7eac20ad: Verifying Checksum 2025-12-04T08:29:40.2384911Z 5e2f7eac20ad: Download complete 2025-12-04T08:29:40.3589301Z 0d1243af7593: Verifying Checksum 2025-12-04T08:29:40.3590998Z 0d1243af7593: Download complete 2025-12-04T08:29:40.4252372Z 1f6d5b941ea1: Verifying Checksum 2025-12-04T08:29:40.4252677Z 1f6d5b941ea1: Download complete 2025-12-04T08:29:40.5372093Z 4444f70d73ce: Verifying Checksum 2025-12-04T08:29:40.5372360Z 4444f70d73ce: Download complete 2025-12-04T08:29:40.6241291Z bf45550ddbad: Verifying Checksum 2025-12-04T08:29:40.6241727Z bf45550ddbad: Download complete 2025-12-04T08:29:47.0231721Z 30fff4f4bad3: Verifying Checksum 2025-12-04T08:29:47.0233080Z 30fff4f4bad3: Download complete 2025-12-04T08:29:47.1172305Z cca4db1ba155: Verifying Checksum 2025-12-04T08:29:47.1172583Z cca4db1ba155: Download complete 2025-12-04T08:29:47.1952002Z f0ffa379f4eb: Verifying Checksum 2025-12-04T08:29:47.1956234Z f0ffa379f4eb: Download complete 2025-12-04T08:29:47.2834841Z df645e678f95: Verifying Checksum 2025-12-04T08:29:47.2840843Z df645e678f95: Download complete 2025-12-04T08:29:47.3742341Z 52ad6c17d103: Verifying Checksum 2025-12-04T08:29:47.3742654Z 52ad6c17d103: Download complete 2025-12-04T08:29:47.4405462Z 34408374e32c: Verifying Checksum 2025-12-04T08:29:47.4405927Z 34408374e32c: Download complete 2025-12-04T08:29:47.5117095Z 27803b661d9e: Verifying Checksum 2025-12-04T08:29:47.5117510Z 27803b661d9e: Download complete 2025-12-04T08:29:48.7053499Z 07dafc893dea: Verifying Checksum 2025-12-04T08:29:48.7053782Z 07dafc893dea: Download complete 2025-12-04T08:30:59.7446743Z 6ca498e78b7b: Verifying Checksum 2025-12-04T08:30:59.7451094Z 6ca498e78b7b: Download complete 2025-12-04T08:32:48.3799887Z 850870a17b94: Verifying Checksum 2025-12-04T08:32:48.3802500Z 850870a17b94: Download complete 2025-12-04T08:33:57.2191236Z d1fba7293688: Pull complete 2025-12-04T08:33:57.5255200Z 4f4fb700ef54: Pull complete 2025-12-04T08:33:57.6052413Z 6a9b03ce41a7: Pull complete 2025-12-04T08:33:57.6754793Z 3519ac15be79: Pull complete 2025-12-04T08:33:57.7074059Z dabb51b819a0: Pull complete 2025-12-04T08:33:57.8568116Z 8f36833a24d0: Pull complete 2025-12-04T08:33:57.9345040Z ab53c5a853a5: Pull complete 2025-12-04T08:33:58.0123068Z 025a0e5e6ac1: Pull complete 2025-12-04T08:33:58.1129745Z ce3394c8f210: Pull complete 2025-12-04T08:33:58.1808717Z a5c3888c3a0c: Pull complete 2025-12-04T08:33:58.2167757Z ed902a3a4e3b: Pull complete 2025-12-04T08:33:58.2535763Z b4e1efca22be: Pull complete 2025-12-04T08:33:58.3176199Z 79fcfd297d9f: Pull complete 2025-12-04T08:33:58.4440774Z 7bd89c134b49: Pull complete 2025-12-04T08:34:12.3694561Z b7d40b4fd1b9: Pull complete 2025-12-04T08:34:12.5990050Z dd1cdd87320d: Pull complete 2025-12-04T08:34:12.6610069Z c21a6e1cd03a: Pull complete 2025-12-04T08:34:12.9767035Z 0aa3ea0b2754: Pull complete 2025-12-04T08:34:13.1643780Z 74e0bdbb05d3: Pull complete 2025-12-04T08:34:13.8033822Z ba3aee7dcf03: Pull complete 2025-12-04T08:34:13.9134895Z 8c8d59b8759d: Pull complete 2025-12-04T08:34:14.1082833Z 3c960865867b: Pull complete 2025-12-04T08:34:14.2634800Z 074db79e3832: Pull complete 2025-12-04T08:34:14.3009040Z 226748f4ff23: Pull complete 2025-12-04T08:34:14.3366971Z 75d817336f1d: Pull complete 2025-12-04T08:40:10.6756036Z 850870a17b94: Pull complete 2025-12-04T08:40:10.7105705Z e6225129924f: Pull complete 2025-12-04T08:40:10.9306952Z 5cd6b9ec5c3c: Pull complete 2025-12-04T08:40:11.3585694Z 613d2b1f3db8: Pull complete 2025-12-04T08:40:17.5713367Z 388169fffe8a: Pull complete 2025-12-04T08:43:11.8091782Z 6ca498e78b7b: Pull complete 2025-12-04T08:43:11.8381061Z 952b753ec7be: Pull complete 2025-12-04T08:43:11.8659706Z 5b6f6de4bdd1: Pull complete 2025-12-04T08:43:11.9189839Z fa23d9952f3c: Pull complete 2025-12-04T08:43:11.9759944Z c2aa9ea4d09a: Pull complete 2025-12-04T08:43:12.0020427Z a9bbc9e426d3: Pull complete 2025-12-04T08:43:12.0559332Z 82f2371f6dc2: Pull complete 2025-12-04T08:43:12.1102873Z c87301921afa: Pull complete 2025-12-04T08:43:12.1409403Z 384d566a822f: Pull complete 2025-12-04T08:43:12.1980203Z 32ddcdd5dd69: Pull complete 2025-12-04T08:43:12.2551198Z a116a32ceaa1: Pull complete 2025-12-04T08:43:12.2838137Z f6fbbbe6067e: Pull complete 2025-12-04T08:43:12.3375753Z 648018658875: Pull complete 2025-12-04T08:43:12.3650361Z 5e2f7eac20ad: Pull complete 2025-12-04T08:43:12.4196929Z 0d1243af7593: Pull complete 2025-12-04T08:43:12.4484292Z 1f6d5b941ea1: Pull complete 2025-12-04T08:43:12.5046313Z 4444f70d73ce: Pull complete 2025-12-04T08:43:12.5330568Z bf45550ddbad: Pull complete 2025-12-04T08:43:21.0978489Z 30fff4f4bad3: Pull complete 2025-12-04T08:43:21.3185375Z cca4db1ba155: Pull complete 2025-12-04T08:43:21.5088884Z f0ffa379f4eb: Pull complete 2025-12-04T08:43:21.5982625Z df645e678f95: Pull complete 2025-12-04T08:43:21.6513509Z 52ad6c17d103: Pull complete 2025-12-04T08:43:21.6942609Z 34408374e32c: Pull complete 2025-12-04T08:43:21.7606594Z 27803b661d9e: Pull complete 2025-12-04T08:43:24.0490711Z 07dafc893dea: Pull complete 2025-12-04T08:43:24.3408999Z Digest: sha256:b178ee928adfcab963ebbc6ea05ea1a0f0c605bb095e9076f010bf92d150869d 2025-12-04T08:43:24.3792265Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:43:24.4079432Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:43:24.4128732Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T08:43:24.4129292Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T08:43:24.4136607Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:43:24.4136847Z env: 2025-12-04T08:43:24.4136997Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:43:24.4137170Z ##[endgroup] 2025-12-04T08:43:24.4429883Z ##[group]Run pytorch/test-infra/.github/actions/setup-nvidia@main 2025-12-04T08:43:24.4430153Z with: 2025-12-04T08:43:24.4430313Z driver-version: 580.82.07 2025-12-04T08:43:24.4430483Z env: 2025-12-04T08:43:24.4430633Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:43:24.4430807Z ##[endgroup] 2025-12-04T08:43:24.4568260Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T08:43:24.4568789Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T08:43:24.4573248Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:43:24.4573479Z env: 2025-12-04T08:43:24.4573631Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:43:24.4573797Z ##[endgroup] 2025-12-04T08:43:24.4764898Z ##[group]Run set -euo pipefail 2025-12-04T08:43:24.4765131Z set -euo pipefail 2025-12-04T08:43:24.4765407Z  2025-12-04T08:43:24.4765569Z has_gpu=false 2025-12-04T08:43:24.4765741Z devices="" 2025-12-04T08:43:24.4765902Z  2025-12-04T08:43:24.4766084Z if command -v nvidia-smi >/dev/null 2>&1; then 2025-12-04T08:43:24.4766373Z  if nvidia-smi -L >/tmp/nvidia_devices 2>/dev/null; then 2025-12-04T08:43:24.4766613Z  has_gpu=true 2025-12-04T08:43:24.4766816Z  devices=$(cat /tmp/nvidia_devices) 2025-12-04T08:43:24.4767025Z  fi 2025-12-04T08:43:24.4767174Z fi 2025-12-04T08:43:24.4767320Z  2025-12-04T08:43:24.4767471Z if [ "$has_gpu" = false ]; then 2025-12-04T08:43:24.4767720Z  if ls /dev/nvidia* >/tmp/nvidia_devices 2>/dev/null; then 2025-12-04T08:43:24.4767954Z  has_gpu=true 2025-12-04T08:43:24.4768146Z  devices=$(cat /tmp/nvidia_devices) 2025-12-04T08:43:24.4768340Z  fi 2025-12-04T08:43:24.4768484Z fi 2025-12-04T08:43:24.4768624Z  2025-12-04T08:43:24.4768858Z if [ "$has_gpu" = false ] && command -v lspci >/dev/null 2>&1; then 2025-12-04T08:43:24.4769162Z  if lspci | grep -i 'nvidia' >/tmp/nvidia_devices 2>/dev/null; then 2025-12-04T08:43:24.4769401Z  has_gpu=true 2025-12-04T08:43:24.4769593Z  devices=$(cat /tmp/nvidia_devices) 2025-12-04T08:43:24.4769789Z  fi 2025-12-04T08:43:24.4769929Z fi 2025-12-04T08:43:24.4770071Z  2025-12-04T08:43:24.4770270Z printf 'HAS_NVIDIA=%s\n' "$has_gpu" >> "$GITHUB_OUTPUT" 2025-12-04T08:43:24.4770584Z printf 'DETECTED_DEVICES<> "$GITHUB_OUTPUT" 2025-12-04T08:43:24.4774720Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:43:24.4774955Z env: 2025-12-04T08:43:24.4775104Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:43:24.4775279Z ##[endgroup] 2025-12-04T08:43:24.6927415Z ##[group]Run if [ "${HAS_NVIDIA}" = "true" ]; then 2025-12-04T08:43:24.6927699Z if [ "${HAS_NVIDIA}" = "true" ]; then 2025-12-04T08:43:24.6927947Z  echo "HAS_NVIDIA_GPU=true" >> "${GITHUB_ENV}" 2025-12-04T08:43:24.6928274Z  echo "GPU_FLAG=--gpus all -e NVIDIA_DRIVER_CAPABILITIES=all" >> "${GITHUB_ENV}" 2025-12-04T08:43:24.6928552Z else 2025-12-04T08:43:24.6928737Z  echo "HAS_NVIDIA_GPU=false" >> "${GITHUB_ENV}" 2025-12-04T08:43:24.6928958Z fi 2025-12-04T08:43:24.6934072Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:43:24.6934298Z env: 2025-12-04T08:43:24.6934453Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:43:24.6934627Z HAS_NVIDIA: false 2025-12-04T08:43:24.6934776Z ##[endgroup] 2025-12-04T08:43:24.7148579Z Prepare all required actions 2025-12-04T08:43:24.7253799Z ##[group]Run ./.github/actions/get-workflow-job-id 2025-12-04T08:43:24.7254021Z with: 2025-12-04T08:43:24.7254598Z github-token: *** 2025-12-04T08:43:24.7254754Z env: 2025-12-04T08:43:24.7254896Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:43:24.7255074Z HAS_NVIDIA_GPU: false 2025-12-04T08:43:24.7255238Z ##[endgroup] 2025-12-04T08:43:24.7363768Z ##[group]Run set -eux 2025-12-04T08:43:24.7363953Z set -eux 2025-12-04T08:43:24.7364236Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-12-04T08:43:24.7368462Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:43:24.7368690Z env: 2025-12-04T08:43:24.7368863Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:43:24.7369040Z HAS_NVIDIA_GPU: false 2025-12-04T08:43:24.7369365Z GITHUB_TOKEN: *** 2025-12-04T08:43:24.7369518Z ##[endgroup] 2025-12-04T08:43:24.7389592Z + python3 .github/scripts/get_workflow_job_id.py 19921726389 i-0ee5da048c1e0ea70 2025-12-04T08:43:26.6083234Z Setting output job-id=57113856410 2025-12-04T08:43:26.6086541Z Setting output job-name=inductor-cpu-test / test (cpu_inductor_torchbench, 1, 2, linux.2xlarge.amx) 2025-12-04T08:43:26.6310212Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-12-04T08:43:26.6310638Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-12-04T08:43:26.6311168Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 & 2025-12-04T08:43:26.6311637Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}" 2025-12-04T08:43:26.6317032Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:43:26.6317266Z env: 2025-12-04T08:43:26.6317426Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:43:26.6317610Z HAS_NVIDIA_GPU: false 2025-12-04T08:43:26.6317788Z JOB_ID: 57113856410 2025-12-04T08:43:26.6318052Z JOB_NAME: inductor-cpu-test / test (cpu_inductor_torchbench, 1, 2, linux.2xlarge.amx) 2025-12-04T08:43:26.6318338Z WORKFLOW_NAME: inductor 2025-12-04T08:43:26.6318541Z WORKFLOW_RUN_ID: 19921726389 2025-12-04T08:43:26.6318719Z MONITOR_LOG_INTERVAL: 5 2025-12-04T08:43:26.6318896Z MONITOR_DATA_COLLECT_INTERVAL: 1 2025-12-04T08:43:26.6319090Z ##[endgroup] 2025-12-04T08:43:28.6237970Z Defaulting to user installation because normal site-packages is not writeable 2025-12-04T08:43:28.8822027Z Collecting psutil==5.9.8 2025-12-04T08:43:28.8952901Z 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) 2025-12-04T08:43:28.9497800Z Collecting dataclasses_json==0.6.7 2025-12-04T08:43:28.9527071Z Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB) 2025-12-04T08:43:28.9784654Z Collecting nvidia-ml-py==11.525.84 2025-12-04T08:43:28.9812091Z Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB) 2025-12-04T08:43:29.0605061Z Collecting marshmallow<4.0.0,>=3.18.0 2025-12-04T08:43:29.0637205Z Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB) 2025-12-04T08:43:29.0847009Z Collecting typing-inspect<1,>=0.4.0 2025-12-04T08:43:29.0876031Z Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB) 2025-12-04T08:43:29.1280827Z Collecting packaging>=17.0 2025-12-04T08:43:29.1309806Z Downloading packaging-25.0-py3-none-any.whl (66 kB) 2025-12-04T08:43:29.1511458Z Collecting mypy-extensions>=0.3.0 2025-12-04T08:43:29.1543428Z Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB) 2025-12-04T08:43:29.1899278Z Collecting typing-extensions>=3.7.4 2025-12-04T08:43:29.1935243Z Downloading typing_extensions-4.15.0-py3-none-any.whl (44 kB) 2025-12-04T08:43:29.2681740Z Installing collected packages: typing-extensions, packaging, mypy-extensions, typing-inspect, marshmallow, psutil, nvidia-ml-py, dataclasses-json 2025-12-04T08:43:29.5018062Z Successfully installed dataclasses-json-0.6.7 marshmallow-3.26.1 mypy-extensions-1.1.0 nvidia-ml-py-11.525.84 packaging-25.0 psutil-5.9.8 typing-extensions-4.15.0 typing-inspect-0.9.0 2025-12-04T08:43:29.6538145Z Prepare all required actions 2025-12-04T08:43:29.6538422Z Getting action download info 2025-12-04T08:43:29.8193700Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-12-04T08:43:30.0789757Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093) 2025-12-04T08:43:30.4379044Z ##[group]Run ./.github/actions/download-build-artifacts 2025-12-04T08:43:30.4379276Z with: 2025-12-04T08:43:30.4379452Z name: linux-jammy-py3.10-gcc11-build 2025-12-04T08:43:30.4379706Z s3-bucket: gha-artifacts 2025-12-04T08:43:30.4379879Z env: 2025-12-04T08:43:30.4380027Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:43:30.4380191Z HAS_NVIDIA_GPU: false 2025-12-04T08:43:30.4380377Z ##[endgroup] 2025-12-04T08:43:30.4409691Z ##[group]Run seemethere/download-artifact-s3@v4 2025-12-04T08:43:30.4409915Z with: 2025-12-04T08:43:30.4410084Z name: linux-jammy-py3.10-gcc11-build 2025-12-04T08:43:30.4410317Z s3-bucket: gha-artifacts 2025-12-04T08:43:30.4410494Z region: us-east-1 2025-12-04T08:43:30.4410638Z env: 2025-12-04T08:43:30.4410780Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:43:30.4410947Z HAS_NVIDIA_GPU: false 2025-12-04T08:43:30.4411104Z ##[endgroup] 2025-12-04T08:43:30.7953349Z (node:45049) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-12-04T08:43:30.7958419Z 2025-12-04T08:43:30.7958788Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-12-04T08:43:30.7959154Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-12-04T08:43:30.7959630Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-12-04T08:43:31.0606462Z Found 1 objects with prefix pytorch/pytorch/19921726389/linux-jammy-py3.10-gcc11-build/ 2025-12-04T08:43:31.0607031Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-12-04T08:43:35.7645393Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-12-04T08:43:35.7650066Z Artifact download has finished successfully 2025-12-04T08:43:35.7812385Z ##[group]Run unzip -o artifacts.zip 2025-12-04T08:43:35.7812613Z unzip -o artifacts.zip 2025-12-04T08:43:35.7817888Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:43:35.7818124Z env: 2025-12-04T08:43:35.7818273Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:43:35.7818450Z HAS_NVIDIA_GPU: false 2025-12-04T08:43:35.7818612Z ##[endgroup] 2025-12-04T08:43:35.7899323Z Archive: artifacts.zip 2025-12-04T08:43:35.7904273Z creating: dist/ 2025-12-04T08:43:36.8332915Z inflating: dist/torch-2.10.0a0+gitffd9b0f-cp310-cp310-linux_x86_64.whl 2025-12-04T08:43:36.8333607Z creating: dist/vision/ 2025-12-04T08:43:36.8403008Z inflating: dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl 2025-12-04T08:43:36.8406851Z creating: dist/audio/ 2025-12-04T08:43:36.8426669Z inflating: dist/audio/torchaudio-2.10.0a0+e90a398-cp310-cp310-linux_x86_64.whl 2025-12-04T08:43:36.8427111Z creating: dist/ao/ 2025-12-04T08:43:36.8463921Z inflating: 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2025-12-04T08:43:42.3503456Z inflating: build/bin/test_api 2025-12-04T08:43:42.3507504Z inflating: build/bin/parallel_benchmark 2025-12-04T08:43:42.3509368Z inflating: build/bin/torch_shm_manager 2025-12-04T08:43:42.3509785Z creating: .additional_ci_files/ 2025-12-04T08:43:42.3564665Z inflating: .additional_ci_files/test-times.json 2025-12-04T08:43:42.3775509Z inflating: .additional_ci_files/test-class-times.json 2025-12-04T08:43:42.3965901Z ##[group]Run rm artifacts.zip 2025-12-04T08:43:42.3966111Z rm artifacts.zip 2025-12-04T08:43:42.3971040Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:43:42.3971303Z env: 2025-12-04T08:43:42.3971448Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:43:42.3971625Z HAS_NVIDIA_GPU: false 2025-12-04T08:43:42.3971791Z ##[endgroup] 2025-12-04T08:43:42.5181470Z ##[group]Run df -H 2025-12-04T08:43:42.5181654Z df -H 2025-12-04T08:43:42.5186239Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:43:42.5186493Z env: 2025-12-04T08:43:42.5186641Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:43:42.5186821Z HAS_NVIDIA_GPU: false 2025-12-04T08:43:42.5186988Z ##[endgroup] 2025-12-04T08:43:42.5561962Z Filesystem Size Used Avail Use% Mounted on 2025-12-04T08:43:42.5562365Z devtmpfs 4.2M 0 4.2M 0% /dev 2025-12-04T08:43:42.5562590Z tmpfs 17G 0 17G 0% /dev/shm 2025-12-04T08:43:42.5562796Z tmpfs 6.7G 676k 6.7G 1% /run 2025-12-04T08:43:42.5563004Z /dev/nvme0n1p1 215G 72G 144G 34% / 2025-12-04T08:43:42.5563215Z tmpfs 17G 13k 17G 1% /tmp 2025-12-04T08:43:42.5563672Z /dev/nvme0n1p128 11M 1.4M 9.2M 13% /boot/efi 2025-12-04T08:43:42.5648802Z Prepare all required actions 2025-12-04T08:43:42.5649226Z Getting action download info 2025-12-04T08:43:42.7338506Z ##[group]Run ./.github/actions/download-td-artifacts 2025-12-04T08:43:42.7338753Z with: 2025-12-04T08:43:42.7338909Z env: 2025-12-04T08:43:42.7339062Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:43:42.7339275Z HAS_NVIDIA_GPU: false 2025-12-04T08:43:42.7339452Z ##[endgroup] 2025-12-04T08:43:42.7422647Z ##[group]Run seemethere/download-artifact-s3@v4 2025-12-04T08:43:42.7422873Z with: 2025-12-04T08:43:42.7423020Z name: td_results 2025-12-04T08:43:42.7423188Z s3-bucket: gha-artifacts 2025-12-04T08:43:42.7423366Z region: us-east-1 2025-12-04T08:43:42.7423512Z env: 2025-12-04T08:43:42.7423662Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:43:42.7423833Z HAS_NVIDIA_GPU: false 2025-12-04T08:43:42.7423998Z ##[endgroup] 2025-12-04T08:43:43.3456629Z (node:45067) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-12-04T08:43:43.3461798Z 2025-12-04T08:43:43.3466538Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-12-04T08:43:43.3467012Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-12-04T08:43:43.3467352Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-12-04T08:43:43.4263828Z Found 0 objects with prefix pytorch/pytorch/19921726389/td_results/ 2025-12-04T08:43:43.4269571Z Artifact download has finished successfully 2025-12-04T08:43:43.4558745Z ##[group]Run mkdir -p .additional_ci_files 2025-12-04T08:43:43.4558998Z mkdir -p .additional_ci_files 2025-12-04T08:43:43.4559271Z mv td_results.json .additional_ci_files/td_results.json || true 2025-12-04T08:43:43.4564555Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:43:43.4564787Z env: 2025-12-04T08:43:43.4564952Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:43:43.4565149Z HAS_NVIDIA_GPU: false 2025-12-04T08:43:43.4565310Z ##[endgroup] 2025-12-04T08:43:43.5292182Z mv: cannot stat 'td_results.json': No such file or directory 2025-12-04T08:43:43.5351599Z ##[group]Run .github/scripts/parse_ref.py 2025-12-04T08:43:43.5351867Z .github/scripts/parse_ref.py 2025-12-04T08:43:43.5356386Z shell: /usr/bin/bash -e {0} 2025-12-04T08:43:43.5356565Z env: 2025-12-04T08:43:43.5356716Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:43:43.5356899Z HAS_NVIDIA_GPU: false 2025-12-04T08:43:43.5357060Z ##[endgroup] 2025-12-04T08:43:43.5668350Z Setting output branch=main 2025-12-04T08:43:43.5766706Z Prepare all required actions 2025-12-04T08:43:43.5767028Z Getting action download info 2025-12-04T08:43:43.7191381Z ##[group]Run ./.github/actions/filter-test-configs 2025-12-04T08:43:43.7191613Z with: 2025-12-04T08:43:43.7192071Z github-token: *** 2025-12-04T08:43:43.7193606Z test-matrix: {"include": [{"config": "cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.2xlarge.amx"}, {"config": "cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.2xlarge.amx"}, {"config": "dynamic_cpu_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.2xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.2xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.2xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.2xlarge.amx"}, {"config": "inductor_torchbench_cpu_smoketest_perf", "shard": 1, "num_shards": 1, "runner": "linux.24xl.spr-metal"}]} 2025-12-04T08:43:43.7195143Z job-name: inductor-cpu-test / test (cpu_inductor_torchbench, 1, 2, linux.2xlarge.amx) 2025-12-04T08:43:43.7195426Z env: 2025-12-04T08:43:43.7195573Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:43:43.7195757Z HAS_NVIDIA_GPU: false 2025-12-04T08:43:43.7196043Z ##[endgroup] 2025-12-04T08:43:43.7258377Z ##[group]Run nick-fields/retry@v3.0.0 2025-12-04T08:43:43.7258581Z with: 2025-12-04T08:43:43.7258733Z shell: bash 2025-12-04T08:43:43.7258885Z timeout_minutes: 10 2025-12-04T08:43:43.7259038Z max_attempts: 5 2025-12-04T08:43:43.7259201Z retry_wait_seconds: 30 2025-12-04T08:43:43.7259645Z 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 2025-12-04T08:43:43.7260123Z polling_interval_seconds: 1 2025-12-04T08:43:43.7260299Z warning_on_retry: true 2025-12-04T08:43:43.7260469Z continue_on_error: false 2025-12-04T08:43:43.7260638Z env: 2025-12-04T08:43:43.7260776Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:43:43.7260951Z HAS_NVIDIA_GPU: false 2025-12-04T08:43:43.7261274Z GITHUB_TOKEN: *** 2025-12-04T08:43:43.7261434Z ##[endgroup] 2025-12-04T08:43:43.9177432Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-12-04T08:43:44.0866055Z Defaulting to user installation because normal site-packages is not writeable 2025-12-04T08:43:44.6280649Z Collecting requests==2.27.1 2025-12-04T08:43:44.6417489Z Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB) 2025-12-04T08:43:44.8197582Z Collecting pyyaml==6.0.2 2025-12-04T08:43:44.8238786Z Downloading PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (737 kB) 2025-12-04T08:43:44.8644719Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (1.25.10) 2025-12-04T08:43:44.8649852Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (2.10) 2025-12-04T08:43:45.1414696Z Collecting charset-normalizer~=2.0.0 2025-12-04T08:43:45.1447860Z Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB) 2025-12-04T08:43:45.2399086Z Collecting certifi>=2017.4.17 2025-12-04T08:43:45.2434468Z Downloading certifi-2025.11.12-py3-none-any.whl (159 kB) 2025-12-04T08:43:45.3227394Z Installing collected packages: charset-normalizer, certifi, requests, pyyaml 2025-12-04T08:43:45.5779498Z Successfully installed certifi-2025.11.12 charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1 2025-12-04T08:43:45.8203629Z Command completed after 1 attempt(s). 2025-12-04T08:43:45.8266305Z ##[group]Run set -x 2025-12-04T08:43:45.8266492Z set -x 2025-12-04T08:43:45.8266653Z  2025-12-04T08:43:45.8266900Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-12-04T08:43:45.8267323Z # in runner workspace 2025-12-04T08:43:45.8267574Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py" 2025-12-04T08:43:45.8272249Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:43:45.8272475Z env: 2025-12-04T08:43:45.8272633Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:43:45.8272816Z HAS_NVIDIA_GPU: false 2025-12-04T08:43:45.8272978Z ##[endgroup] 2025-12-04T08:43:45.8296326Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py 2025-12-04T08:43:45.8447943Z Setting output branch=main 2025-12-04T08:43:45.8509795Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}" 2025-12-04T08:43:45.8510073Z echo "Workflow: ${GITHUB_WORKFLOW}" 2025-12-04T08:43:45.8510292Z echo "Job name: ${JOB_NAME}" 2025-12-04T08:43:45.8510478Z  2025-12-04T08:43:45.8510721Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-12-04T08:43:45.8511027Z # in runner workspace 2025-12-04T08:43:45.8511292Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \ 2025-12-04T08:43:45.8511586Z  --workflow "${GITHUB_WORKFLOW}" \ 2025-12-04T08:43:45.8511797Z  --job-name "${JOB_NAME}" \ 2025-12-04T08:43:45.8513372Z  --test-matrix "{"include": [{"config": "cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.2xlarge.amx"}, {"config": "cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.2xlarge.amx"}, {"config": "dynamic_cpu_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.2xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.2xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.2xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.2xlarge.amx"}, {"config": "inductor_torchbench_cpu_smoketest_perf", "shard": 1, "num_shards": 1, "runner": "linux.24xl.spr-metal"}]}" \ 2025-12-04T08:43:45.8515035Z  --selected-test-configs "" \ 2025-12-04T08:43:45.8515261Z  --pr-number "${PR_NUMBER}" \ 2025-12-04T08:43:45.8515461Z  --tag "${TAG}" \ 2025-12-04T08:43:45.8515896Z  --event-name "${EVENT_NAME}" \ 2025-12-04T08:43:45.8516118Z  --schedule "${SCHEDULE}" \ 2025-12-04T08:43:45.8516323Z  --branch "${HEAD_BRANCH}" 2025-12-04T08:43:45.8520972Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:43:45.8521210Z env: 2025-12-04T08:43:45.8521370Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:43:45.8521544Z HAS_NVIDIA_GPU: false 2025-12-04T08:43:45.8521932Z GITHUB_TOKEN: *** 2025-12-04T08:43:45.8522348Z JOB_NAME: inductor-cpu-test / test (cpu_inductor_torchbench, 1, 2, linux.2xlarge.amx) 2025-12-04T08:43:45.8522678Z PR_NUMBER: 2025-12-04T08:43:45.8522842Z TAG: 2025-12-04T08:43:45.8523006Z EVENT_NAME: push 2025-12-04T08:43:45.8523184Z SCHEDULE: 2025-12-04T08:43:45.8523347Z HEAD_BRANCH: main 2025-12-04T08:43:45.8523535Z ##[endgroup] 2025-12-04T08:43:45.8544969Z Workflow: inductor 2025-12-04T08:43:45.8546817Z Job name: inductor-cpu-test / test (cpu_inductor_torchbench, 1, 2, linux.2xlarge.amx) 2025-12-04T08:43:46.0464361Z Setting output keep-going=True 2025-12-04T08:43:46.0466211Z Setting output ci-verbose-test-logs=False 2025-12-04T08:43:46.0466460Z Setting output ci-test-showlocals=False 2025-12-04T08:43:46.0473132Z Setting output ci-no-test-timeout=False 2025-12-04T08:43:46.0476070Z Setting output ci-no-td=False 2025-12-04T08:43:46.0478710Z Setting output ci-td-distributed=False 2025-12-04T08:43:46.0478995Z Setting output is-unstable=False 2025-12-04T08:43:46.0479211Z Setting output reenabled-issues= 2025-12-04T08:43:46.0481087Z Setting output test-matrix={"include": [{"config": "cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.2xlarge.amx"}, {"config": "cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.2xlarge.amx"}, {"config": "dynamic_cpu_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.2xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.2xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.2xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.2xlarge.amx"}, {"config": "inductor_torchbench_cpu_smoketest_perf", "shard": 1, "num_shards": 1, "runner": "linux.24xl.spr-metal"}]} 2025-12-04T08:43:46.0482812Z Setting output is-test-matrix-empty=False 2025-12-04T08:43:46.0608134Z ##[group]Run echo "Filtered matrix:" 2025-12-04T08:43:46.0608378Z echo "Filtered matrix:" 2025-12-04T08:43:46.0609916Z echo "{"include": [{"config": "cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.2xlarge.amx"}, {"config": "cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.2xlarge.amx"}, {"config": "dynamic_cpu_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.2xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.2xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.2xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.2xlarge.amx"}, {"config": "inductor_torchbench_cpu_smoketest_perf", "shard": 1, "num_shards": 1, "runner": "linux.24xl.spr-metal"}]}" 2025-12-04T08:43:46.0611585Z  2025-12-04T08:43:46.0611742Z echo 2025-12-04T08:43:46.0611945Z echo "Is the current job unstable? False" 2025-12-04T08:43:46.0612164Z  2025-12-04T08:43:46.0612314Z echo 2025-12-04T08:43:46.0612497Z echo "Is keep-going label set? True" 2025-12-04T08:43:46.0612734Z  2025-12-04T08:43:46.0612873Z echo 2025-12-04T08:43:46.0613044Z echo "Reenabled issues? " 2025-12-04T08:43:46.0618170Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:43:46.0618419Z env: 2025-12-04T08:43:46.0618583Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:43:46.0618776Z HAS_NVIDIA_GPU: false 2025-12-04T08:43:46.0618951Z ##[endgroup] 2025-12-04T08:43:46.0639574Z Filtered matrix: 2025-12-04T08:43:46.0641225Z {include: [{config: cpu_inductor_torchbench, shard: 1, num_shards: 2, runner: linux.2xlarge.amx}, {config: cpu_inductor_torchbench, shard: 2, num_shards: 2, runner: linux.2xlarge.amx}, {config: dynamic_cpu_inductor_huggingface, shard: 1, num_shards: 1, runner: linux.2xlarge.amx}, {config: dynamic_cpu_inductor_timm, shard: 1, num_shards: 2, runner: linux.2xlarge.amx}, {config: dynamic_cpu_inductor_timm, shard: 2, num_shards: 2, runner: linux.2xlarge.amx}, {config: dynamic_cpu_inductor_torchbench, shard: 1, num_shards: 2, runner: linux.2xlarge.amx}, {config: dynamic_cpu_inductor_torchbench, shard: 2, num_shards: 2, runner: linux.2xlarge.amx}, {config: inductor_torchbench_cpu_smoketest_perf, shard: 1, num_shards: 1, runner: linux.24xl.spr-metal}]} 2025-12-04T08:43:46.0642789Z 2025-12-04T08:43:46.0642882Z Is the current job unstable? False 2025-12-04T08:43:46.0643030Z 2025-12-04T08:43:46.0643115Z Is keep-going label set? True 2025-12-04T08:43:46.0643253Z 2025-12-04T08:43:46.0643325Z Reenabled issues? 2025-12-04T08:43:46.0675635Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-12-04T08:43:46.0675960Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-12-04T08:43:46.0679566Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:43:46.0679795Z env: 2025-12-04T08:43:46.0679953Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:43:46.0680132Z HAS_NVIDIA_GPU: false 2025-12-04T08:43:46.0680293Z JOB_TIMEOUT: 240 2025-12-04T08:43:46.0680449Z ##[endgroup] 2025-12-04T08:43:46.0728240Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T08:43:46.0728572Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T08:43:46.0728859Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T08:43:46.0732483Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:43:46.0732727Z env: 2025-12-04T08:43:46.0732899Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:43:46.0733078Z HAS_NVIDIA_GPU: false 2025-12-04T08:43:46.0733240Z ##[endgroup] 2025-12-04T08:43:46.0834031Z ##[group]Run set -x 2025-12-04T08:43:46.0834265Z set -x 2025-12-04T08:43:46.0834419Z  2025-12-04T08:43:46.0834595Z if [[ $TEST_CONFIG == 'multigpu' ]]; then 2025-12-04T08:43:46.0834838Z  TEST_COMMAND=.ci/pytorch/multigpu-test.sh 2025-12-04T08:43:46.0835080Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then 2025-12-04T08:43:46.0835301Z  TEST_COMMAND=.ci/onnx/test.sh 2025-12-04T08:43:46.0835484Z else 2025-12-04T08:43:46.0835656Z  TEST_COMMAND=.ci/pytorch/test.sh 2025-12-04T08:43:46.0835851Z fi 2025-12-04T08:43:46.0835983Z  2025-12-04T08:43:46.0836157Z # Leaving 1GB for the runner and other things 2025-12-04T08:43:46.0836596Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo) 2025-12-04T08:43:46.0837096Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap 2025-12-04T08:43:46.0837500Z # comes from https://github.com/pytorch/test-infra/pull/6058 2025-12-04T08:43:46.0837819Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3)) 2025-12-04T08:43:46.0838069Z  2025-12-04T08:43:46.0838240Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-12-04T08:43:46.0838459Z  SHM_OPTS= 2025-12-04T08:43:46.0838628Z  JENKINS_USER= 2025-12-04T08:43:46.0838848Z  # ensure that docker container cleanly exits in 12 hours 2025-12-04T08:43:46.0839142Z  # if for some reason cleanup action doesn't stop container 2025-12-04T08:43:46.0839387Z  # when job is cancelled 2025-12-04T08:43:46.0839591Z  DOCKER_SHELL_CMD="sleep 12h" 2025-12-04T08:43:46.0839797Z  USED_IMAGE="${DOCKER_IMAGE_S390X}" 2025-12-04T08:43:46.0839997Z else 2025-12-04T08:43:46.0840168Z  SHM_OPTS="--shm-size=${SHM_SIZE}" 2025-12-04T08:43:46.0840377Z  JENKINS_USER="--user jenkins" 2025-12-04T08:43:46.0840577Z  DOCKER_SHELL_CMD= 2025-12-04T08:43:46.0840764Z  USED_IMAGE="${DOCKER_IMAGE}" 2025-12-04T08:43:46.0840946Z fi 2025-12-04T08:43:46.0841089Z  2025-12-04T08:43:46.0841303Z # detached container should get cleaned up by teardown_ec2_linux 2025-12-04T08:43:46.0841612Z # TODO: Stop building test binaries as part of the build phase 2025-12-04T08:43:46.0841955Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice 2025-12-04T08:43:46.0842408Z # shellcheck disable=SC2086,SC2090 2025-12-04T08:43:46.0842624Z container_name=$(docker run \ 2025-12-04T08:43:46.0842829Z  ${GPU_FLAG:-} \ 2025-12-04T08:43:46.0843036Z  ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \ 2025-12-04T08:43:46.0843264Z  -e BUILD_ENVIRONMENT \ 2025-12-04T08:43:46.0843471Z  -e PR_NUMBER \ 2025-12-04T08:43:46.0843670Z  -e GITHUB_ACTIONS \ 2025-12-04T08:43:46.0843883Z  -e GITHUB_REPOSITORY \ 2025-12-04T08:43:46.0844107Z  -e GITHUB_WORKFLOW \ 2025-12-04T08:43:46.0844296Z  -e GITHUB_JOB \ 2025-12-04T08:43:46.0844483Z  -e GITHUB_RUN_ID \ 2025-12-04T08:43:46.0844689Z  -e GITHUB_RUN_NUMBER \ 2025-12-04T08:43:46.0844878Z  -e GITHUB_RUN_ATTEMPT \ 2025-12-04T08:43:46.0845071Z  -e JOB_ID \ 2025-12-04T08:43:46.0845255Z  -e JOB_NAME \ 2025-12-04T08:43:46.0845424Z  -e BASE_SHA \ 2025-12-04T08:43:46.0845584Z  -e BRANCH \ 2025-12-04T08:43:46.0845745Z  -e SHA1 \ 2025-12-04T08:43:46.0845915Z  -e AWS_DEFAULT_REGION \ 2025-12-04T08:43:46.0846095Z  -e IN_WHEEL_TEST \ 2025-12-04T08:43:46.0846275Z  -e SHARD_NUMBER \ 2025-12-04T08:43:46.0846454Z  -e TEST_CONFIG \ 2025-12-04T08:43:46.0846626Z  -e NUM_TEST_SHARDS \ 2025-12-04T08:43:46.0846887Z  -e REENABLED_ISSUES \ 2025-12-04T08:43:46.0847086Z  -e CONTINUE_THROUGH_ERROR \ 2025-12-04T08:43:46.0847275Z  -e VERBOSE_TEST_LOGS \ 2025-12-04T08:43:46.0847463Z  -e TEST_SHOWLOCALS \ 2025-12-04T08:43:46.0847647Z  -e NO_TEST_TIMEOUT \ 2025-12-04T08:43:46.0847826Z  -e NO_TD \ 2025-12-04T08:43:46.0847994Z  -e TD_DISTRIBUTED \ 2025-12-04T08:43:46.0848186Z  -e PR_LABELS \ 2025-12-04T08:43:46.0848382Z  -e MAX_JOBS="$(nproc --ignore=2)" \ 2025-12-04T08:43:46.0848585Z  -e SCCACHE_BUCKET \ 2025-12-04T08:43:46.0848764Z  -e SCCACHE_REGION \ 2025-12-04T08:43:46.0848940Z  -e XLA_CUDA \ 2025-12-04T08:43:46.0849161Z  -e XLA_CLANG_CACHE_S3_BUCKET_NAME \ 2025-12-04T08:43:46.0849385Z  -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \ 2025-12-04T08:43:46.0849608Z  -e PYTORCH_TEST_RERUN_DISABLED_TESTS \ 2025-12-04T08:43:46.0849834Z  -e SKIP_SCCACHE_INITIALIZATION=1 \ 2025-12-04T08:43:46.0850036Z  -e HUGGING_FACE_HUB_TOKEN \ 2025-12-04T08:43:46.0850241Z  -e VLLM_TEST_HUGGING_FACE_TOKEN \ 2025-12-04T08:43:46.0850447Z  -e SCRIBE_GRAPHQL_ACCESS_TOKEN \ 2025-12-04T08:43:46.0850636Z  -e DASHBOARD_TAG \ 2025-12-04T08:43:46.0850817Z  -e ARTIFACTS_FILE_SUFFIX \ 2025-12-04T08:43:46.0851039Z  --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \ 2025-12-04T08:43:46.0851287Z  --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \ 2025-12-04T08:43:46.0851538Z  --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \ 2025-12-04T08:43:46.0851775Z  --security-opt seccomp=unconfined \ 2025-12-04T08:43:46.0851986Z  --cap-add=SYS_PTRACE \ 2025-12-04T08:43:46.0852162Z  --ipc=host \ 2025-12-04T08:43:46.0852330Z  ${SHM_OPTS} \ 2025-12-04T08:43:46.0852491Z  --tty \ 2025-12-04T08:43:46.0852640Z  --detach \ 2025-12-04T08:43:46.0852816Z  --name="${container_name}" \ 2025-12-04T08:43:46.0853009Z  ${JENKINS_USER} \ 2025-12-04T08:43:46.0853217Z  -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \ 2025-12-04T08:43:46.0853455Z  -w /var/lib/jenkins/workspace \ 2025-12-04T08:43:46.0853650Z  "${USED_IMAGE}" \ 2025-12-04T08:43:46.0853822Z  ${DOCKER_SHELL_CMD} 2025-12-04T08:43:46.0853983Z ) 2025-12-04T08:43:46.0854193Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}" 2025-12-04T08:43:46.0854434Z  2025-12-04T08:43:46.0854600Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-12-04T08:43:46.0854937Z  docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt" 2025-12-04T08:43:46.0855231Z fi 2025-12-04T08:43:46.0855370Z  2025-12-04T08:43:46.0855653Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}" 2025-12-04T08:43:46.0859722Z shell: /usr/bin/bash -e {0} 2025-12-04T08:43:46.0859908Z env: 2025-12-04T08:43:46.0860060Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:43:46.0860245Z HAS_NVIDIA_GPU: false 2025-12-04T08:43:46.0860459Z BUILD_ENVIRONMENT: linux-jammy-py3.10-gcc11-build 2025-12-04T08:43:46.0860674Z PR_NUMBER: 2025-12-04T08:43:46.0860848Z GITHUB_REPOSITORY: pytorch/pytorch 2025-12-04T08:43:46.0861054Z GITHUB_WORKFLOW: inductor 2025-12-04T08:43:46.0861221Z GITHUB_JOB: test 2025-12-04T08:43:46.0861386Z GITHUB_RUN_ID: 19921726389 2025-12-04T08:43:46.0861564Z GITHUB_RUN_NUMBER: 168680 2025-12-04T08:43:46.0861741Z GITHUB_RUN_ATTEMPT: 1 2025-12-04T08:43:46.0861907Z JOB_ID: 57113856410 2025-12-04T08:43:46.0862175Z JOB_NAME: inductor-cpu-test / test (cpu_inductor_torchbench, 1, 2, linux.2xlarge.amx) 2025-12-04T08:43:46.0862460Z BRANCH: main 2025-12-04T08:43:46.0862641Z SHA1: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:43:46.0862962Z BASE_SHA: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:43:46.0863199Z TEST_CONFIG: cpu_inductor_torchbench 2025-12-04T08:43:46.0863388Z SHARD_NUMBER: 1 2025-12-04T08:43:46.0863548Z NUM_TEST_SHARDS: 2 2025-12-04T08:43:46.0863706Z EXTRA_FLAGS: 2025-12-04T08:43:46.0863854Z OP_BENCHMARK_TESTS: 2025-12-04T08:43:46.0864019Z REENABLED_ISSUES: 2025-12-04T08:43:46.0864184Z CONTINUE_THROUGH_ERROR: True 2025-12-04T08:43:46.0864370Z VERBOSE_TEST_LOGS: False 2025-12-04T08:43:46.0864540Z TEST_SHOWLOCALS: False 2025-12-04T08:43:46.0864712Z NO_TEST_TIMEOUT: False 2025-12-04T08:43:46.0864873Z NO_TD: False 2025-12-04T08:43:46.0865020Z TD_DISTRIBUTED: False 2025-12-04T08:43:46.0865221Z SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2 2025-12-04T08:43:46.0865494Z SCCACHE_REGION: us-east-1 2025-12-04T08:43:46.0865658Z SHM_SIZE: 1g 2025-12-04T08:43:46.0866144Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:43:46.0866982Z DOCKER_IMAGE_S390X: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:43:46.0867491Z XLA_CUDA: 2025-12-04T08:43:46.0867713Z XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla 2025-12-04T08:43:46.0867995Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0 2025-12-04T08:43:46.0868201Z PYTORCH_TEST_RERUN_DISABLED_TESTS: 0 2025-12-04T08:43:46.0868392Z DASHBOARD_TAG: 2025-12-04T08:43:46.0868730Z VLLM_TEST_HUGGING_FACE_TOKEN: *** 2025-12-04T08:43:46.0868993Z HUGGING_FACE_HUB_TOKEN: *** 2025-12-04T08:43:46.0869251Z SCRIBE_GRAPHQL_ACCESS_TOKEN: *** 2025-12-04T08:43:46.0869546Z ARTIFACTS_FILE_SUFFIX: test-cpu_inductor_torchbench-1-2-linux.2xlarge.amx_57113856410 2025-12-04T08:43:46.0869827Z ##[endgroup] 2025-12-04T08:43:46.0891369Z + [[ cpu_inductor_torchbench == \m\u\l\t\i\g\p\u ]] 2025-12-04T08:43:46.0891850Z + [[ linux-jammy-py3.10-gcc11-build == *onnx* ]] 2025-12-04T08:43:46.0892219Z + TEST_COMMAND=.ci/pytorch/test.sh 2025-12-04T08:43:46.0897073Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo 2025-12-04T08:43:46.0960272Z + TOTAL_AVAILABLE_MEMORY_IN_GB='29.809 ' 2025-12-04T08:43:46.0960721Z + TOTAL_MEMORY_WITH_SWAP=32 2025-12-04T08:43:46.0961112Z + [[ linux-jammy-py3.10-gcc11-build == *\s\3\9\0\x* ]] 2025-12-04T08:43:46.0961874Z + SHM_OPTS=--shm-size=1g 2025-12-04T08:43:46.0962255Z + JENKINS_USER='--user jenkins' 2025-12-04T08:43:46.0962466Z + DOCKER_SHELL_CMD= 2025-12-04T08:43:46.0963001Z + USED_IMAGE=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:43:46.0970046Z +++ nproc --ignore=2 2025-12-04T08:43:46.0995121Z ++ 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=6 -e SCCACHE_BUCKET -e SCCACHE_REGION -e XLA_CUDA -e XLA_CLANG_CACHE_S3_BUCKET_NAME -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK -e PYTORCH_TEST_RERUN_DISABLED_TESTS -e SKIP_SCCACHE_INITIALIZATION=1 -e HUGGING_FACE_HUB_TOKEN -e VLLM_TEST_HUGGING_FACE_TOKEN -e SCRIBE_GRAPHQL_ACCESS_TOKEN -e DASHBOARD_TAG -e ARTIFACTS_FILE_SUFFIX --memory=29g --memory-swap=32g --env-file=/tmp/github_env_19921726389 --security-opt seccomp=unconfined --cap-add=SYS_PTRACE --ipc=host --shm-size=1g --tty --detach --name= --user jenkins -v /home/ec2-user/actions-runner/_work/pytorch/pytorch:/var/lib/jenkins/workspace -w /var/lib/jenkins/workspace 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:44:00.1903634Z + container_name=62380445a548ddca4705ac474c383cd5999deab9929d69794a3d01eff7dd3352 2025-12-04T08:44:00.1904095Z + echo DOCKER_CONTAINER_ID=62380445a548ddca4705ac474c383cd5999deab9929d69794a3d01eff7dd3352 2025-12-04T08:44:00.1904452Z + [[ linux-jammy-py3.10-gcc11-build == *\s\3\9\0\x* ]] 2025-12-04T08:44:00.1909966Z ++ echo dist/torch-2.10.0a0+gitffd9b0f-cp310-cp310-linux_x86_64.whl 2025-12-04T08:44:00.1911223Z + docker exec -t 62380445a548ddca4705ac474c383cd5999deab9929d69794a3d01eff7dd3352 sh -c 'python3 -m pip install dist/torch-2.10.0a0+gitffd9b0f-cp310-cp310-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh' 2025-12-04T08:44:00.6275230Z Processing ./dist/torch-2.10.0a0+gitffd9b0f-cp310-cp310-linux_x86_64.whl (from torch==2.10.0a0+gitffd9b0f) 2025-12-04T08:44:00.8294882Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (3.18.0) 2025-12-04T08:44:00.8295699Z Requirement already satisfied: typing-extensions>=4.10.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (4.15.0) 2025-12-04T08:44:00.8298413Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (1.13.3) 2025-12-04T08:44:00.8299193Z Requirement already satisfied: networkx>=2.5.1 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (2.8.8) 2025-12-04T08:44:00.8312677Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (3.1.6) 2025-12-04T08:44:00.8313434Z Requirement already satisfied: fsspec>=0.8.5 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (2025.10.0) 2025-12-04T08:44:00.8314135Z Requirement already satisfied: opt-einsum>=3.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (3.3.0) 2025-12-04T08:44:00.8579806Z Requirement already satisfied: numpy>=1.7 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from opt-einsum>=3.3->torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (1.22.4) 2025-12-04T08:44:00.8588075Z Requirement already satisfied: mpmath<1.4,>=1.1.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from sympy>=1.13.3->torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (1.3.0) 2025-12-04T08:44:00.8633760Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from jinja2->torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (3.0.3) 2025-12-04T08:44:01.5820994Z Installing collected packages: torch 2025-12-04T08:44:08.5933115Z 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. 2025-12-04T08:44:08.5933679Z dall-e 0.1 requires torchvision, which is not installed. 2025-12-04T08:44:08.5939273Z effdet 0.4.1 requires torchvision, which is not installed. 2025-12-04T08:44:08.5943414Z python-doctr 1.0.0 requires torchvision>=0.15.0, which is not installed. 2025-12-04T08:44:08.5947320Z pytorch-labs-segment-anything-fast 0.2 requires torchao, which is not installed. 2025-12-04T08:44:08.5951560Z pytorch-labs-segment-anything-fast 0.2 requires torchvision>=0.17.0.dev20231026, which is not installed. 2025-12-04T08:44:08.5956597Z timm 1.0.22 requires torchvision, which is not installed. 2025-12-04T08:44:08.5958336Z Successfully installed torch-2.10.0a0+gitffd9b0f 2025-12-04T08:44:08.6988556Z + export TERM=vt100 2025-12-04T08:44:08.6988778Z + TERM=vt100 2025-12-04T08:44:08.7011626Z ++ dirname .ci/pytorch/test.sh 2025-12-04T08:44:08.7011958Z + source .ci/pytorch/common.sh 2025-12-04T08:44:08.7026508Z +++ dirname .ci/pytorch/common.sh 2025-12-04T08:44:08.7032291Z ++ source .ci/pytorch/common_utils.sh 2025-12-04T08:44:08.7037562Z +++ declare -f -t trap_add 2025-12-04T08:44:08.7038843Z ++ set -ex -o pipefail 2025-12-04T08:44:08.7039221Z ++ [[ linux-jammy-py3.10-gcc11-build == *rocm* ]] 2025-12-04T08:44:08.7039466Z ++ BUILD_TEST_LIBTORCH=0 2025-12-04T08:44:08.7040702Z ++ dirname .ci/pytorch/test.sh 2025-12-04T08:44:08.7049748Z + source .ci/pytorch/common-build.sh 2025-12-04T08:44:08.7060664Z ++ [[ linux-jammy-py3.10-gcc11-build != *win-* ]] 2025-12-04T08:44:08.7068335Z ++++ dirname .ci/pytorch/common-build.sh 2025-12-04T08:44:08.7068723Z +++ cd .ci/pytorch 2025-12-04T08:44:08.7069288Z +++ pwd -P 2025-12-04T08:44:08.7075787Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch 2025-12-04T08:44:08.7076155Z ++ [[ linux-jammy-py3.10-gcc11-build == *-pch* ]] 2025-12-04T08:44:08.7079469Z ++ which sccache 2025-12-04T08:44:08.7103401Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]] 2025-12-04T08:44:08.7103697Z ++ sccache --stop-server 2025-12-04T08:44:08.7265586Z ++ true 2025-12-04T08:44:08.7270171Z ++ rm -f /var/lib/jenkins/sccache_error.log 2025-12-04T08:44:08.7287866Z ++ trap_add sccache_epilogue EXIT 2025-12-04T08:44:08.7290522Z ++ trap_add_cmd=sccache_epilogue 2025-12-04T08:44:08.7290795Z ++ shift 2025-12-04T08:44:08.7290997Z ++ for trap_add_name in "$@" 2025-12-04T08:44:08.7293503Z ++++ trap -p EXIT 2025-12-04T08:44:08.7293723Z +++ eval 'extract_trap_cmd ' 2025-12-04T08:44:08.7295743Z ++++ extract_trap_cmd 2025-12-04T08:44:08.7296065Z ++++ printf '%s\n' '' 2025-12-04T08:44:08.7296369Z +++ printf '%s\n' sccache_epilogue 2025-12-04T08:44:08.7296690Z ++ trap -- ' 2025-12-04T08:44:08.7296972Z sccache_epilogue' EXIT 2025-12-04T08:44:08.7297252Z ++ [[ -n 1 ]] 2025-12-04T08:44:08.7297592Z ++ echo 'Skipping sccache server initialization, setting environment variables' 2025-12-04T08:44:08.7298096Z Skipping sccache server initialization, setting environment variables 2025-12-04T08:44:08.7298395Z ++ export SCCACHE_IDLE_TIMEOUT=0 2025-12-04T08:44:08.7298606Z ++ SCCACHE_IDLE_TIMEOUT=0 2025-12-04T08:44:08.7298838Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-12-04T08:44:08.7299107Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-12-04T08:44:08.7306106Z ++ export RUST_LOG=sccache::server=error 2025-12-04T08:44:08.7306356Z ++ RUST_LOG=sccache::server=error 2025-12-04T08:44:08.7306551Z ++ sccache --zero-stats 2025-12-04T08:44:08.9278994Z Statistics zeroed. 2025-12-04T08:44:08.9279223Z ++ which ccache 2025-12-04T08:44:08.9312766Z + [[ linux-jammy-py3.10-gcc11-build != *rocm* ]] 2025-12-04T08:44:08.9313048Z + [[ linux-jammy-py3.10-gcc11-build != *s390x* ]] 2025-12-04T08:44:08.9313318Z + [[ -d /var/lib/jenkins/workspace ]] 2025-12-04T08:44:08.9313534Z ++ stat -c %u /var/lib/jenkins/workspace 2025-12-04T08:44:08.9398959Z + WORKSPACE_ORIGINAL_OWNER_ID=1000 2025-12-04T08:44:08.9399260Z + trap_add cleanup_workspace EXIT 2025-12-04T08:44:08.9399532Z + trap_add_cmd=cleanup_workspace 2025-12-04T08:44:08.9399770Z + shift 2025-12-04T08:44:08.9399963Z + for trap_add_name in "$@" 2025-12-04T08:44:08.9400209Z +++ trap -p EXIT 2025-12-04T08:44:08.9400915Z ++ eval 'extract_trap_cmd trap -- '\'' 2025-12-04T08:44:08.9401173Z sccache_epilogue'\'' EXIT' 2025-12-04T08:44:08.9401417Z +++ extract_trap_cmd trap -- ' 2025-12-04T08:44:08.9401606Z sccache_epilogue' EXIT 2025-12-04T08:44:08.9401770Z +++ printf '%s\n' ' 2025-12-04T08:44:08.9401934Z sccache_epilogue' 2025-12-04T08:44:08.9402237Z ++ printf '%s\n' cleanup_workspace 2025-12-04T08:44:08.9402436Z + trap -- ' 2025-12-04T08:44:08.9402583Z sccache_epilogue 2025-12-04T08:44:08.9402754Z cleanup_workspace' EXIT 2025-12-04T08:44:08.9402972Z + sudo chown -R jenkins /var/lib/jenkins/workspace 2025-12-04T08:44:09.3980393Z + git config --global --add safe.directory /var/lib/jenkins/workspace 2025-12-04T08:44:09.4165613Z + [[ linux-jammy-py3.10-gcc11-build == *cuda* ]] 2025-12-04T08:44:09.4165973Z + echo 'Environment variables:' 2025-12-04T08:44:09.4166483Z Environment variables: 2025-12-04T08:44:09.4166657Z + env 2025-12-04T08:44:09.4188745Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T08:44:09.4189047Z CONTINUE_THROUGH_ERROR=True 2025-12-04T08:44:09.4189368Z BUILD_ENVIRONMENT=linux-jammy-py3.10-gcc11-build 2025-12-04T08:44:09.4189900Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-12-04T08:44:09.4190093Z HOSTNAME=62380445a548 2025-12-04T08:44:09.4190439Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_e161b07a-9483-4b4a-aa78-d246ff2debae 2025-12-04T08:44:09.4190788Z GITHUB_ACTION=__run_3 2025-12-04T08:44:09.4190968Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-12-04T08:44:09.4191247Z GITHUB_RUN_NUMBER=168680 2025-12-04T08:44:09.4191654Z TEST_CONFIG=cpu_inductor_torchbench 2025-12-04T08:44:09.4191864Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-12-04T08:44:09.4192080Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-12-04T08:44:09.4192278Z SCCACHE_IDLE_TIMEOUT=0 2025-12-04T08:44:09.4192550Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-12-04T08:44:09.4192788Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-12-04T08:44:09.4193000Z GITHUB_REF_TYPE=branch 2025-12-04T08:44:09.4193194Z BASE_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:44:09.4193408Z XLA_CUDA= 2025-12-04T08:44:09.4193568Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-12-04T08:44:09.4193820Z HUGGING_FACE_HUB_TOKEN=*** 2025-12-04T08:44:09.4194184Z *** 2025-12-04T08:44:09.4194339Z GITHUB_REPOSITORY_ID=65600975 2025-12-04T08:44:09.4194525Z GITHUB_ACTIONS=true 2025-12-04T08:44:09.4194720Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-12-04T08:44:09.4194967Z SHA1=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:44:09.4195211Z GITHUB_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:44:09.4195531Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor.yml@refs/heads/main 2025-12-04T08:44:09.4195820Z UCC_HOME=/usr 2025-12-04T08:44:09.4195982Z VERBOSE_TEST_LOGS=False 2025-12-04T08:44:09.4196150Z GITHUB_REF=refs/heads/main 2025-12-04T08:44:09.4196329Z SHARD_NUMBER=1 2025-12-04T08:44:09.4196489Z GITHUB_REF_PROTECTED=true 2025-12-04T08:44:09.4196657Z HOME=/var/lib/jenkins 2025-12-04T08:44:09.4196848Z GITHUB_API_URL=https://api.github.com 2025-12-04T08:44:09.4197061Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-12-04T08:44:09.4197245Z UCX_COMMIT= 2025-12-04T08:44:09.4197385Z USE_SYSTEM_NCCL=1 2025-12-04T08:44:09.4197540Z NUM_TEST_SHARDS=2 2025-12-04T08:44:09.4197693Z UCX_HOME=/usr 2025-12-04T08:44:09.4198020Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_e161b07a-9483-4b4a-aa78-d246ff2debae 2025-12-04T08:44:09.4198513Z JOB_NAME=inductor-cpu-test / test (cpu_inductor_torchbench, 1, 2, linux.2xlarge.amx) 2025-12-04T08:44:09.4198972Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_e161b07a-9483-4b4a-aa78-d246ff2debae 2025-12-04T08:44:09.4199420Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-12-04T08:44:09.4199703Z GITHUB_EVENT_NAME=push 2025-12-04T08:44:09.4199870Z DASHBOARD_TAG= 2025-12-04T08:44:09.4200027Z GITHUB_RUN_ID=19921726389 2025-12-04T08:44:09.4200199Z INSTALLED_OPENBLAS= 2025-12-04T08:44:09.4200563Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_e161b07a-9483-4b4a-aa78-d246ff2debae 2025-12-04T08:44:09.4200962Z GITHUB_ACTOR=pytorchmergebot 2025-12-04T08:44:09.4201139Z PR_NUMBER= 2025-12-04T08:44:09.4201292Z DESIRED_CUDA= 2025-12-04T08:44:09.4201452Z GITHUB_RUN_ATTEMPT=1 2025-12-04T08:44:09.4201623Z ANACONDA_PYTHON_VERSION=3.10 2025-12-04T08:44:09.4201850Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-12-04T08:44:09.4202139Z TERM=vt100 2025-12-04T08:44:09.4202302Z INSTALLED_VISION=yes 2025-12-04T08:44:09.4202460Z BRANCH=main 2025-12-04T08:44:09.4202628Z SCCACHE_REGION=us-east-1 2025-12-04T08:44:09.4202828Z OPENSSL_ROOT_DIR=/opt/openssl 2025-12-04T08:44:09.4203029Z BUILD_AOT_INDUCTOR_TEST=yes 2025-12-04T08:44:09.4203228Z CUDA_PATH=/usr/local/cuda 2025-12-04T08:44:09.4203658Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-12-04T08:44:09.4204017Z GITHUB_SERVER_URL=https://github.com 2025-12-04T08:44:09.4204212Z UCC_COMMIT= 2025-12-04T08:44:09.4204362Z REENABLED_ISSUES= 2025-12-04T08:44:09.4204507Z DOCS=yes 2025-12-04T08:44:09.4204648Z SHLVL=1 2025-12-04T08:44:09.4204787Z MAX_JOBS=6 2025-12-04T08:44:09.4204929Z GITHUB_ACTOR_ID=97764156 2025-12-04T08:44:09.4205153Z GITHUB_WORKFLOW_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:44:09.4205390Z GITHUB_REF_NAME=main 2025-12-04T08:44:09.4205628Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-12-04T08:44:09.4205886Z GITHUB_JOB=test 2025-12-04T08:44:09.4206094Z NO_TEST_TIMEOUT=False 2025-12-04T08:44:09.4206262Z TD_DISTRIBUTED=False 2025-12-04T08:44:09.4206436Z GITHUB_REPOSITORY=pytorch/pytorch 2025-12-04T08:44:09.4206636Z GITHUB_RETENTION_DAYS=90 2025-12-04T08:44:09.4206816Z OPENSSL_DIR=/opt/openssl 2025-12-04T08:44:09.4206993Z GITHUB_ACTION_REPOSITORY= 2025-12-04T08:44:09.4207449Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-12-04T08:44:09.4207895Z GITHUB_BASE_REF= 2025-12-04T08:44:09.4208050Z INSTALLED_ACL= 2025-12-04T08:44:09.4208318Z ARTIFACTS_FILE_SUFFIX=test-cpu_inductor_torchbench-1-2-linux.2xlarge.amx_57113856410 2025-12-04T08:44:09.4208612Z CI=true 2025-12-04T08:44:09.4208761Z GITHUB_REPOSITORY_OWNER=pytorch 2025-12-04T08:44:09.4209003Z RUST_LOG=sccache::server=error 2025-12-04T08:44:09.4209188Z JOB_ID=57113856410 2025-12-04T08:44:09.4209348Z GITHUB_HEAD_REF= 2025-12-04T08:44:09.4209502Z GITHUB_ACTION_REF= 2025-12-04T08:44:09.4209704Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-12-04T08:44:09.4209931Z TEST_SHOWLOCALS=False 2025-12-04T08:44:09.4210096Z GITHUB_WORKFLOW=inductor 2025-12-04T08:44:09.4210279Z DEBIAN_FRONTEND=noninteractive 2025-12-04T08:44:09.4210647Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_e161b07a-9483-4b4a-aa78-d246ff2debae 2025-12-04T08:44:09.4211003Z NO_TD=False 2025-12-04T08:44:09.4211172Z SKIP_SCCACHE_INITIALIZATION=1 2025-12-04T08:44:09.4211380Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-12-04T08:44:09.4211576Z _=/usr/bin/env 2025-12-04T08:44:09.4211793Z ++ python -c 'import site; print(site.getsitepackages()[0])' 2025-12-04T08:44:09.4416380Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch 2025-12-04T08:44:09.4416960Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin 2025-12-04T08:44:09.4417456Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib 2025-12-04T08:44:09.4418007Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/test 2025-12-04T08:44:09.4418405Z + BUILD_DIR=build 2025-12-04T08:44:09.4418654Z + BUILD_RENAMED_DIR=build_renamed 2025-12-04T08:44:09.4418927Z + BUILD_BIN_DIR=build/bin 2025-12-04T08:44:09.4419202Z + SHARD_NUMBER=1 2025-12-04T08:44:09.4419410Z + NUM_TEST_SHARDS=2 2025-12-04T08:44:09.4419651Z + export TORCH_SERIALIZATION_DEBUG=1 2025-12-04T08:44:09.4419952Z + TORCH_SERIALIZATION_DEBUG=1 2025-12-04T08:44:09.4420201Z + export VALGRIND=ON 2025-12-04T08:44:09.4420360Z + VALGRIND=ON 2025-12-04T08:44:09.4420552Z + [[ linux-jammy-py3.10-gcc11-build == *clang9* ]] 2025-12-04T08:44:09.4420799Z + [[ linux-jammy-py3.10-gcc11-build == *xpu* ]] 2025-12-04T08:44:09.4421002Z + detect_cuda_arch 2025-12-04T08:44:09.4421187Z + [[ linux-jammy-py3.10-gcc11-build == *cuda* ]] 2025-12-04T08:44:09.4421421Z + [[ linux-jammy-py3.10-gcc11-build == *s390x* ]] 2025-12-04T08:44:09.4421628Z + [[ 0 == \1 ]] 2025-12-04T08:44:09.4421774Z + [[ True == \1 ]] 2025-12-04T08:44:09.4421965Z + [[ linux-jammy-py3.10-gcc11-build != *bazel* ]] 2025-12-04T08:44:09.4422211Z ++ realpath build/custom_test_artifacts 2025-12-04T08:44:09.4446645Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts 2025-12-04T08:44:09.4447319Z + [[ -n '' ]] 2025-12-04T08:44:09.4447620Z + echo 'Environment variables' 2025-12-04T08:44:09.4447935Z Environment variables 2025-12-04T08:44:09.4448194Z + env 2025-12-04T08:44:09.4473717Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T08:44:09.4478281Z CONTINUE_THROUGH_ERROR=True 2025-12-04T08:44:09.4478566Z BUILD_ENVIRONMENT=linux-jammy-py3.10-gcc11-build 2025-12-04T08:44:09.4479231Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-12-04T08:44:09.4479438Z HOSTNAME=62380445a548 2025-12-04T08:44:09.4479796Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_e161b07a-9483-4b4a-aa78-d246ff2debae 2025-12-04T08:44:09.4480175Z GITHUB_ACTION=__run_3 2025-12-04T08:44:09.4480592Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-12-04T08:44:09.4480790Z GITHUB_RUN_NUMBER=168680 2025-12-04T08:44:09.4480983Z TEST_CONFIG=cpu_inductor_torchbench 2025-12-04T08:44:09.4481193Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-12-04T08:44:09.4481404Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-12-04T08:44:09.4481616Z SCCACHE_IDLE_TIMEOUT=0 2025-12-04T08:44:09.4481873Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-12-04T08:44:09.4482179Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-12-04T08:44:09.4482392Z GITHUB_REF_TYPE=branch 2025-12-04T08:44:09.4482613Z BASE_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:44:09.4482851Z XLA_CUDA= 2025-12-04T08:44:09.4483015Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-12-04T08:44:09.4483418Z HUGGING_FACE_HUB_TOKEN=*** 2025-12-04T08:44:09.4483671Z *** 2025-12-04T08:44:09.4483841Z GITHUB_REPOSITORY_ID=65600975 2025-12-04T08:44:09.4484025Z GITHUB_ACTIONS=true 2025-12-04T08:44:09.4484229Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-12-04T08:44:09.4484494Z SHA1=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:44:09.4484735Z GITHUB_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:44:09.4485071Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor.yml@refs/heads/main 2025-12-04T08:44:09.4485372Z UCC_HOME=/usr 2025-12-04T08:44:09.4485536Z TORCH_SERIALIZATION_DEBUG=1 2025-12-04T08:44:09.4485728Z VERBOSE_TEST_LOGS=False 2025-12-04T08:44:09.4485907Z GITHUB_REF=refs/heads/main 2025-12-04T08:44:09.4486086Z SHARD_NUMBER=1 2025-12-04T08:44:09.4486248Z GITHUB_REF_PROTECTED=true 2025-12-04T08:44:09.4486430Z HOME=/var/lib/jenkins 2025-12-04T08:44:09.4486624Z GITHUB_API_URL=https://api.github.com 2025-12-04T08:44:09.4486842Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-12-04T08:44:09.4487036Z UCX_COMMIT= 2025-12-04T08:44:09.4487189Z USE_SYSTEM_NCCL=1 2025-12-04T08:44:09.4487345Z NUM_TEST_SHARDS=2 2025-12-04T08:44:09.4487503Z UCX_HOME=/usr 2025-12-04T08:44:09.4487852Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_e161b07a-9483-4b4a-aa78-d246ff2debae 2025-12-04T08:44:09.4488333Z JOB_NAME=inductor-cpu-test / test (cpu_inductor_torchbench, 1, 2, linux.2xlarge.amx) 2025-12-04T08:44:09.4488794Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_e161b07a-9483-4b4a-aa78-d246ff2debae 2025-12-04T08:44:09.4489253Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-12-04T08:44:09.4489548Z GITHUB_EVENT_NAME=push 2025-12-04T08:44:09.4489711Z DASHBOARD_TAG= 2025-12-04T08:44:09.4489870Z GITHUB_RUN_ID=19921726389 2025-12-04T08:44:09.4490043Z INSTALLED_OPENBLAS= 2025-12-04T08:44:09.4490397Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_e161b07a-9483-4b4a-aa78-d246ff2debae 2025-12-04T08:44:09.4490791Z GITHUB_ACTOR=pytorchmergebot 2025-12-04T08:44:09.4490984Z PR_NUMBER= 2025-12-04T08:44:09.4491119Z DESIRED_CUDA= 2025-12-04T08:44:09.4491270Z GITHUB_RUN_ATTEMPT=1 2025-12-04T08:44:09.4491429Z VALGRIND=ON 2025-12-04T08:44:09.4491579Z ANACONDA_PYTHON_VERSION=3.10 2025-12-04T08:44:09.4491794Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-12-04T08:44:09.4492006Z TERM=vt100 2025-12-04T08:44:09.4492143Z INSTALLED_VISION=yes 2025-12-04T08:44:09.4492302Z BRANCH=main 2025-12-04T08:44:09.4492522Z SCCACHE_REGION=us-east-1 2025-12-04T08:44:09.4492707Z OPENSSL_ROOT_DIR=/opt/openssl 2025-12-04T08:44:09.4492887Z BUILD_AOT_INDUCTOR_TEST=yes 2025-12-04T08:44:09.4493108Z CUDA_PATH=/usr/local/cuda 2025-12-04T08:44:09.4493416Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-12-04T08:44:09.4493761Z GITHUB_SERVER_URL=https://github.com 2025-12-04T08:44:09.4493958Z UCC_COMMIT= 2025-12-04T08:44:09.4494097Z REENABLED_ISSUES= 2025-12-04T08:44:09.4494251Z DOCS=yes 2025-12-04T08:44:09.4494394Z SHLVL=1 2025-12-04T08:44:09.4494523Z MAX_JOBS=6 2025-12-04T08:44:09.4494671Z GITHUB_ACTOR_ID=97764156 2025-12-04T08:44:09.4494891Z GITHUB_WORKFLOW_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:44:09.4495167Z GITHUB_REF_NAME=main 2025-12-04T08:44:09.4495411Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-12-04T08:44:09.4495666Z GITHUB_JOB=test 2025-12-04T08:44:09.4495822Z NO_TEST_TIMEOUT=False 2025-12-04T08:44:09.4495980Z TD_DISTRIBUTED=False 2025-12-04T08:44:09.4496151Z GITHUB_REPOSITORY=pytorch/pytorch 2025-12-04T08:44:09.4496342Z GITHUB_RETENTION_DAYS=90 2025-12-04T08:44:09.4496505Z OPENSSL_DIR=/opt/openssl 2025-12-04T08:44:09.4496676Z GITHUB_ACTION_REPOSITORY= 2025-12-04T08:44:09.4497122Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-12-04T08:44:09.4497548Z GITHUB_BASE_REF= 2025-12-04T08:44:09.4497703Z INSTALLED_ACL= 2025-12-04T08:44:09.4497959Z ARTIFACTS_FILE_SUFFIX=test-cpu_inductor_torchbench-1-2-linux.2xlarge.amx_57113856410 2025-12-04T08:44:09.4498236Z CI=true 2025-12-04T08:44:09.4498387Z GITHUB_REPOSITORY_OWNER=pytorch 2025-12-04T08:44:09.4498629Z RUST_LOG=sccache::server=error 2025-12-04T08:44:09.4498804Z JOB_ID=57113856410 2025-12-04T08:44:09.4498947Z GITHUB_HEAD_REF= 2025-12-04T08:44:09.4499098Z GITHUB_ACTION_REF= 2025-12-04T08:44:09.4499287Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-12-04T08:44:09.4499503Z TEST_SHOWLOCALS=False 2025-12-04T08:44:09.4499669Z GITHUB_WORKFLOW=inductor 2025-12-04T08:44:09.4499845Z DEBIAN_FRONTEND=noninteractive 2025-12-04T08:44:09.4500201Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_e161b07a-9483-4b4a-aa78-d246ff2debae 2025-12-04T08:44:09.4500566Z NO_TD=False 2025-12-04T08:44:09.4500732Z SKIP_SCCACHE_INITIALIZATION=1 2025-12-04T08:44:09.4500932Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-12-04T08:44:09.4501123Z _=/usr/bin/env 2025-12-04T08:44:09.4501283Z + echo 'Testing pytorch' 2025-12-04T08:44:09.4501454Z Testing pytorch 2025-12-04T08:44:09.4501618Z + export LANG=C.UTF-8 2025-12-04T08:44:09.4501781Z + LANG=C.UTF-8 2025-12-04T08:44:09.4513953Z + PR_NUMBER= 2025-12-04T08:44:09.4514213Z + [[ cpu_inductor_torchbench == \d\e\f\a\u\l\t ]] 2025-12-04T08:44:09.4514497Z + [[ cpu_inductor_torchbench == \d\i\s\t\r\i\b\u\t\e\d ]] 2025-12-04T08:44:09.4514755Z + [[ cpu_inductor_torchbench == \s\l\o\w ]] 2025-12-04T08:44:09.4515029Z + [[ linux-jammy-py3.10-gcc11-build == *slow-gradcheck* ]] 2025-12-04T08:44:09.4515300Z + [[ linux-jammy-py3.10-gcc11-build == *cuda* ]] 2025-12-04T08:44:09.4515537Z + [[ linux-jammy-py3.10-gcc11-build == *rocm* ]] 2025-12-04T08:44:09.4515944Z + [[ linux-jammy-py3.10-gcc11-build == *xpu* ]] 2025-12-04T08:44:09.4516171Z + [[ cpu_inductor_torchbench == *crossref* ]] 2025-12-04T08:44:09.4516404Z + [[ linux-jammy-py3.10-gcc11-build == *rocm* ]] 2025-12-04T08:44:09.4516640Z + [[ linux-jammy-py3.10-gcc11-build == *xpu* ]] 2025-12-04T08:44:09.4516872Z + [[ linux-jammy-py3.10-gcc11-build != *-bazel-* ]] 2025-12-04T08:44:09.4517102Z + pip_install ninja==1.10.2 2025-12-04T08:44:09.4517348Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-12-04T08:44:09.4517638Z + python3 -m pip install --progress-bar off ninja==1.10.2 2025-12-04T08:44:09.8234841Z Collecting ninja==1.10.2 2025-12-04T08:44:09.8424520Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB) 2025-12-04T08:44:09.8529145Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB) 2025-12-04T08:44:10.5783096Z Installing collected packages: ninja 2025-12-04T08:44:10.5785380Z Attempting uninstall: ninja 2025-12-04T08:44:10.5785866Z Found existing installation: ninja 1.11.1.4 2025-12-04T08:44:10.5801162Z Uninstalling ninja-1.11.1.4: 2025-12-04T08:44:10.5846962Z Successfully uninstalled ninja-1.11.1.4 2025-12-04T08:44:10.6295660Z Successfully installed ninja-1.10.2 2025-12-04T08:44:10.7238424Z + export PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-12-04T08:44:10.7239675Z + PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-12-04T08:44:10.7240234Z + [[ linux-jammy-py3.10-gcc11-build == *aarch64* ]] 2025-12-04T08:44:10.7240487Z + [[ linux-jammy-py3.10-gcc11-build == *asan* ]] 2025-12-04T08:44:10.7240733Z + [[ linux-jammy-py3.10-gcc11-build == *-debug* ]] 2025-12-04T08:44:10.7241157Z + [[ linux-jammy-py3.10-gcc11-build != *-bazel-* ]] 2025-12-04T08:44:10.7241492Z + echo 'We are not in debug mode: linux-jammy-py3.10-gcc11-build. Expect the assertion to pass' 2025-12-04T08:44:10.7241886Z We are not in debug mode: linux-jammy-py3.10-gcc11-build. Expect the assertion to pass 2025-12-04T08:44:10.7242278Z + cd test 2025-12-04T08:44:10.7242515Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)' 2025-12-04T08:44:11.0762374Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-12-04T08:44:11.0763241Z import pynvml # type: ignore[import] 2025-12-04T08:44:11.9372439Z + [[ cpu_inductor_torchbench == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]] 2025-12-04T08:44:11.9372779Z + [[ cpu_inductor_torchbench == \n\o\g\p\u\_\A\V\X\5\1\2 ]] 2025-12-04T08:44:11.9373065Z + [[ cpu_inductor_torchbench == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]] 2025-12-04T08:44:11.9381500Z + DYNAMO_BENCHMARK_FLAGS=() 2025-12-04T08:44:11.9386148Z + [[ cpu_inductor_torchbench == *pr_time_benchmarks* ]] 2025-12-04T08:44:11.9390229Z + [[ cpu_inductor_torchbench == *dynamo_eager* ]] 2025-12-04T08:44:11.9393974Z + [[ cpu_inductor_torchbench == *aot_eager* ]] 2025-12-04T08:44:11.9394245Z + [[ cpu_inductor_torchbench == *aot_inductor* ]] 2025-12-04T08:44:11.9394512Z + [[ cpu_inductor_torchbench == *max_autotune_inductor* ]] 2025-12-04T08:44:11.9394784Z + [[ cpu_inductor_torchbench == *inductor* ]] 2025-12-04T08:44:11.9394992Z + [[ cpu_inductor_torchbench != *perf* ]] 2025-12-04T08:44:11.9395231Z + DYNAMO_BENCHMARK_FLAGS+=(--inductor) 2025-12-04T08:44:11.9395455Z + [[ cpu_inductor_torchbench == *dynamic* ]] 2025-12-04T08:44:11.9395660Z + [[ cpu_inductor_torchbench == *cpu* ]] 2025-12-04T08:44:11.9395856Z + DYNAMO_BENCHMARK_FLAGS+=(--device cpu) 2025-12-04T08:44:11.9539042Z + [[ linux-jammy-py3.10-gcc11-build == *libtorch* ]] 2025-12-04T08:44:11.9539355Z + [[ linux-jammy-py3.10-gcc11-build == *-bazel-* ]] 2025-12-04T08:44:11.9547839Z + cd test 2025-12-04T08:44:11.9548257Z + python -c 'import torch; print(torch.__config__.show())' 2025-12-04T08:44:12.1993171Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-12-04T08:44:12.1993959Z import pynvml # type: ignore[import] 2025-12-04T08:44:12.8020097Z PyTorch built with: 2025-12-04T08:44:12.8024305Z - GCC 11.4 2025-12-04T08:44:12.8028092Z - C++ Version: 201703 2025-12-04T08:44:12.8032536Z - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-12-04T08:44:12.8033931Z - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-12-04T08:44:12.8034239Z - OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-12-04T08:44:12.8034464Z - LAPACK is enabled (usually provided by MKL) 2025-12-04T08:44:12.8034675Z - NNPACK is enabled 2025-12-04T08:44:12.8034848Z - CPU capability usage: AVX512 2025-12-04T08:44:12.8037325Z - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, COMMIT_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32, CXX_COMPILER=/opt/cache/bin/c++, CXX_FLAGS= -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOCUPTI -DLIBKINETO_NOROCTRACER -DLIBKINETO_NOXPUPTI=ON -DUSE_FBGEMM -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -DC10_NODEPRECATED -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=range-loop-construct -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-unknown-pragmas -Wno-unused-parameter -Wno-strict-overflow -Wno-strict-aliasing -Wno-stringop-overflow -Wsuggest-override -Wno-psabi -Wno-error=old-style-cast -faligned-new -Werror -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, TORCH_VERSION=2.10.0, USE_CUDA=OFF, USE_CUDNN=OFF, USE_CUSPARSELT=OFF, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_GLOO=ON, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=OFF, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, USE_ROCM_KERNEL_ASSERT=OFF, USE_XCCL=OFF, USE_XPU=OFF, 2025-12-04T08:44:12.8040117Z 2025-12-04T08:44:13.0131884Z + cd test 2025-12-04T08:44:13.0136689Z + python -c 'import torch; print(torch.__config__.parallel_info())' 2025-12-04T08:44:13.2449974Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-12-04T08:44:13.2450894Z import pynvml # type: ignore[import] 2025-12-04T08:44:13.8393428Z ATen/Parallel: 2025-12-04T08:44:13.8397546Z at::get_num_threads() : 4 2025-12-04T08:44:13.8400183Z at::get_num_interop_threads() : 4 2025-12-04T08:44:13.8400457Z OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-12-04T08:44:13.8400657Z omp_get_max_threads() : 4 2025-12-04T08:44:13.8401010Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-12-04T08:44:13.8401342Z mkl_get_max_threads() : 4 2025-12-04T08:44:13.8401590Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-12-04T08:44:13.8401898Z std::thread::hardware_concurrency() : 8 2025-12-04T08:44:13.8402230Z Environment variables: 2025-12-04T08:44:13.8402420Z OMP_NUM_THREADS : [not set] 2025-12-04T08:44:13.8402608Z MKL_NUM_THREADS : [not set] 2025-12-04T08:44:13.8402809Z ATen parallel backend: OpenMP 2025-12-04T08:44:13.8402931Z 2025-12-04T08:44:14.0314135Z + [[ cpu_inductor_torchbench == *numpy_2* ]] 2025-12-04T08:44:14.0314446Z + [[ linux-jammy-py3.10-gcc11-build == *aarch64* ]] 2025-12-04T08:44:14.0314789Z + [[ cpu_inductor_torchbench == *backward* ]] 2025-12-04T08:44:14.0315059Z + [[ cpu_inductor_torchbench == *libtorch_agnostic_targetting* ]] 2025-12-04T08:44:14.0315369Z + [[ cpu_inductor_torchbench == *xla* ]] 2025-12-04T08:44:14.0315901Z + [[ cpu_inductor_torchbench == *vllm* ]] 2025-12-04T08:44:14.0316228Z + [[ cpu_inductor_torchbench == *executorch* ]] 2025-12-04T08:44:14.0316571Z + [[ cpu_inductor_torchbench == \j\i\t\_\l\e\g\a\c\y ]] 2025-12-04T08:44:14.0316963Z + [[ cpu_inductor_torchbench == \q\u\a\n\t\i\z\a\t\i\o\n ]] 2025-12-04T08:44:14.0317329Z + [[ linux-jammy-py3.10-gcc11-build == *libtorch* ]] 2025-12-04T08:44:14.0317676Z + [[ cpu_inductor_torchbench == distributed ]] 2025-12-04T08:44:14.0318294Z + [[ cpu_inductor_torchbench == *operator_benchmark* ]] 2025-12-04T08:44:14.0318686Z + [[ cpu_inductor_torchbench == *operator_microbenchmark* ]] 2025-12-04T08:44:14.0319090Z + [[ cpu_inductor_torchbench == *attention_microbenchmark* ]] 2025-12-04T08:44:14.0319483Z + [[ cpu_inductor_torchbench == *inductor_distributed* ]] 2025-12-04T08:44:14.0319832Z + [[ cpu_inductor_torchbench == *inductor-halide* ]] 2025-12-04T08:44:14.0320182Z + [[ cpu_inductor_torchbench == *inductor-pallas* ]] 2025-12-04T08:44:14.0320548Z + [[ cpu_inductor_torchbench == *inductor-triton-cpu* ]] 2025-12-04T08:44:14.0320929Z + [[ cpu_inductor_torchbench == *inductor-micro-benchmark* ]] 2025-12-04T08:44:14.0321358Z + [[ cpu_inductor_torchbench == *aoti_cross_compile_for_windows* ]] 2025-12-04T08:44:14.0321865Z + [[ cpu_inductor_torchbench == *huggingface* ]] 2025-12-04T08:44:14.0322220Z + [[ cpu_inductor_torchbench == *timm* ]] 2025-12-04T08:44:14.0322427Z + [[ cpu_inductor_torchbench == cachebench ]] 2025-12-04T08:44:14.0322653Z + [[ cpu_inductor_torchbench == verify_cachebench ]] 2025-12-04T08:44:14.0322886Z + [[ cpu_inductor_torchbench == *torchbench* ]] 2025-12-04T08:44:14.0323086Z + install_torchaudio 2025-12-04T08:44:14.0323249Z + local commit 2025-12-04T08:44:14.0323421Z ++ get_pinned_commit audio 2025-12-04T08:44:14.0323605Z ++ cat .github/ci_commit_pins/audio.txt 2025-12-04T08:44:14.0816362Z + commit=e90a3986cbebd57a5ad08b6813e2c7ff199cdbe0 2025-12-04T08:44:14.0816844Z + pip_build_and_install git+https://github.com/pytorch/audio.git@e90a3986cbebd57a5ad08b6813e2c7ff199cdbe0 dist/audio 2025-12-04T08:44:14.0821420Z + local build_target=git+https://github.com/pytorch/audio.git@e90a3986cbebd57a5ad08b6813e2c7ff199cdbe0 2025-12-04T08:44:14.0825500Z + local wheel_dir=dist/audio 2025-12-04T08:44:14.0829616Z + local found_whl=0 2025-12-04T08:44:14.0832018Z + for file in "${wheel_dir}"/*.whl 2025-12-04T08:44:14.0837252Z + [[ -f dist/audio/torchaudio-2.10.0a0+e90a398-cp310-cp310-linux_x86_64.whl ]] 2025-12-04T08:44:14.0839439Z + found_whl=1 2025-12-04T08:44:14.0839662Z + break 2025-12-04T08:44:14.0839833Z + '[' 1 == 0 ']' 2025-12-04T08:44:14.0839999Z + for file in "${wheel_dir}"/*.whl 2025-12-04T08:44:14.0840336Z + pip_install_whl dist/audio/torchaudio-2.10.0a0+e90a398-cp310-cp310-linux_x86_64.whl 2025-12-04T08:44:14.0840733Z + args=('dist/audio/torchaudio-2.10.0a0+e90a398-cp310-cp310-linux_x86_64.whl') 2025-12-04T08:44:14.0841011Z + local args 2025-12-04T08:44:14.0841254Z + [[ dist/audio/torchaudio-2.10.0a0+e90a398-cp310-cp310-linux_x86_64.whl == *\ * ]] 2025-12-04T08:44:14.0841547Z + for path in "${args[@]}" 2025-12-04T08:44:14.0841839Z + echo 'Installing dist/audio/torchaudio-2.10.0a0+e90a398-cp310-cp310-linux_x86_64.whl' 2025-12-04T08:44:14.0842380Z Installing dist/audio/torchaudio-2.10.0a0+e90a398-cp310-cp310-linux_x86_64.whl 2025-12-04T08:44:14.0842914Z + python3 -mpip install --no-index --no-deps dist/audio/torchaudio-2.10.0a0+e90a398-cp310-cp310-linux_x86_64.whl 2025-12-04T08:44:14.3468378Z Processing ./dist/audio/torchaudio-2.10.0a0+e90a398-cp310-cp310-linux_x86_64.whl 2025-12-04T08:44:14.3509358Z Installing collected packages: torchaudio 2025-12-04T08:44:14.7115414Z Successfully installed torchaudio-2.10.0a0+e90a398 2025-12-04T08:44:14.7480718Z + install_torchvision 2025-12-04T08:44:14.7480977Z + local orig_preload 2025-12-04T08:44:14.7481150Z + local commit 2025-12-04T08:44:14.7481314Z ++ get_pinned_commit vision 2025-12-04T08:44:14.7481511Z ++ cat .github/ci_commit_pins/vision.txt 2025-12-04T08:44:14.7758863Z + commit=617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T08:44:14.7759157Z + orig_preload= 2025-12-04T08:44:14.7759334Z + '[' -n '' ']' 2025-12-04T08:44:14.7759538Z + [[ linux-jammy-py3.10-gcc11-build == *cuda* ]] 2025-12-04T08:44:14.7759978Z + pip_build_and_install git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e dist/vision 2025-12-04T08:44:14.7760552Z + local build_target=git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T08:44:14.7760922Z + local wheel_dir=dist/vision 2025-12-04T08:44:14.7761384Z + local found_whl=0 2025-12-04T08:44:14.7761571Z + for file in "${wheel_dir}"/*.whl 2025-12-04T08:44:14.7761874Z + [[ -f dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl ]] 2025-12-04T08:44:14.7762304Z + found_whl=1 2025-12-04T08:44:14.7762474Z + break 2025-12-04T08:44:14.7762624Z + '[' 1 == 0 ']' 2025-12-04T08:44:14.7762866Z + for file in "${wheel_dir}"/*.whl 2025-12-04T08:44:14.7776906Z + pip_install_whl dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl 2025-12-04T08:44:14.7777501Z + args=('dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl') 2025-12-04T08:44:14.7777786Z + local args 2025-12-04T08:44:14.7778163Z + [[ dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl == *\ * ]] 2025-12-04T08:44:14.7778659Z + for path in "${args[@]}" 2025-12-04T08:44:14.7778950Z + echo 'Installing dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl' 2025-12-04T08:44:14.7779340Z Installing dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl 2025-12-04T08:44:14.7779778Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl 2025-12-04T08:44:15.0371525Z Processing ./dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl 2025-12-04T08:44:15.0441453Z Installing collected packages: torchvision 2025-12-04T08:44:15.5380738Z Successfully installed torchvision-0.25.0a0+617079d 2025-12-04T08:44:15.5757400Z + '[' -n '' ']' 2025-12-04T08:44:15.5761089Z + id=0 2025-12-04T08:44:15.5765395Z + pip_install opencv-python==4.8.0.74 2025-12-04T08:44:15.5769257Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-12-04T08:44:15.5771184Z + python3 -m pip install --progress-bar off opencv-python==4.8.0.74 2025-12-04T08:44:15.9271388Z Collecting opencv-python==4.8.0.74 2025-12-04T08:44:15.9459100Z Downloading opencv_python-4.8.0.74-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (19 kB) 2025-12-04T08:44:15.9554706Z Requirement already satisfied: numpy>=1.21.2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from opencv-python==4.8.0.74) (1.22.4) 2025-12-04T08:44:15.9629667Z Downloading opencv_python-4.8.0.74-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (61.7 MB) 2025-12-04T08:44:17.0250811Z Installing collected packages: opencv-python 2025-12-04T08:44:17.0252320Z Attempting uninstall: opencv-python 2025-12-04T08:44:17.0257786Z Found existing installation: opencv-python 4.11.0.86 2025-12-04T08:44:17.0309453Z Uninstalling opencv-python-4.11.0.86: 2025-12-04T08:44:17.1047285Z Successfully uninstalled opencv-python-4.11.0.86 2025-12-04T08:44:17.8795597Z Successfully installed opencv-python-4.8.0.74 2025-12-04T08:44:17.9809287Z + [[ cpu_inductor_torchbench == *inductor_torchbench_smoketest_perf* ]] 2025-12-04T08:44:17.9813981Z + [[ cpu_inductor_torchbench == *inductor_torchbench_cpu_smoketest_perf* ]] 2025-12-04T08:44:17.9814338Z + [[ cpu_inductor_torchbench == *torchbench_gcp_smoketest* ]] 2025-12-04T08:44:17.9814623Z + [[ cpu_inductor_torchbench != *cpu* ]] 2025-12-04T08:44:17.9814833Z + PYTHONPATH=/torchbench 2025-12-04T08:44:17.9815040Z + test_dynamo_benchmark torchbench 0 2025-12-04T08:44:17.9815262Z ++ pwd 2025-12-04T08:44:17.9815461Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-12-04T08:44:17.9815900Z + local suite=torchbench 2025-12-04T08:44:17.9816070Z + shift 2025-12-04T08:44:17.9816212Z + local shard_id=0 2025-12-04T08:44:17.9816356Z + shift 2025-12-04T08:44:17.9816499Z + extra_args=() 2025-12-04T08:44:17.9816658Z + local extra_args 2025-12-04T08:44:17.9816841Z + [[ linux-jammy-py3.10-gcc11-build == *cuda13* ]] 2025-12-04T08:44:17.9817085Z + [[ cpu_inductor_torchbench == *perf_compare* ]] 2025-12-04T08:44:17.9817322Z + [[ cpu_inductor_torchbench == *perf* ]] 2025-12-04T08:44:17.9817523Z + [[ cpu_inductor_torchbench == *cpu* ]] 2025-12-04T08:44:17.9817711Z + local dt=float32 2025-12-04T08:44:17.9817876Z + [[ cpu_inductor_torchbench == *amp* ]] 2025-12-04T08:44:17.9818377Z + [[ cpu_inductor_torchbench == *freezing* ]] 2025-12-04T08:44:17.9818669Z + test_single_dynamo_benchmark inference torchbench 0 --inference --float32 2025-12-04T08:44:17.9818926Z ++ pwd 2025-12-04T08:44:17.9819117Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-12-04T08:44:17.9819397Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports 2025-12-04T08:44:17.9855042Z + local name=inference 2025-12-04T08:44:17.9855250Z + shift 2025-12-04T08:44:17.9855416Z + local suite=torchbench 2025-12-04T08:44:17.9855589Z + shift 2025-12-04T08:44:17.9855730Z + local shard_id=0 2025-12-04T08:44:17.9855876Z + shift 2025-12-04T08:44:17.9856019Z + partition_flags=() 2025-12-04T08:44:17.9856191Z + local partition_flags 2025-12-04T08:44:17.9856575Z + [[ -n 2 ]] 2025-12-04T08:44:17.9856720Z + [[ -n 0 ]] 2025-12-04T08:44:17.9856976Z + partition_flags=(--total-partitions "$NUM_TEST_SHARDS" --partition-id "$shard_id") 2025-12-04T08:44:17.9857298Z + [[ cpu_inductor_torchbench == *perf_compare* ]] 2025-12-04T08:44:17.9857525Z + [[ cpu_inductor_torchbench == *perf* ]] 2025-12-04T08:44:17.9857862Z + [[ cpu_inductor_torchbench == *_avx2* ]] 2025-12-04T08:44:17.9858074Z + [[ cpu_inductor_torchbench == *_avx512* ]] 2025-12-04T08:44:17.9858750Z + python benchmarks/dynamo/torchbench.py --ci --accuracy --timing --explain --print-compilation-time --inductor --device cpu --inference --float32 --total-partitions 2 --partition-id 0 --output /var/lib/jenkins/workspace/test/test-reports/inference_torchbench.csv 2025-12-04T08:44:18.2275224Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-12-04T08:44:18.2276036Z import pynvml # type: ignore[import] 2025-12-04T08:44:20.4389451Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-12-04T08:44:20.4390221Z import pynvml # type: ignore[import] 2025-12-04T08:44:22.3289549Z 2025-12-04T08:44:23.8597396Z loading model: 0it [00:00, ?it/s] 2025-12-04T08:44:23.8597723Z loading model: 0it [00:01, ?it/s] 2025-12-04T08:44:23.8614555Z cpu eval BERT_pytorch 2025-12-04T08:44:24.8552633Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T08:44:25.3330489Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T08:44:25.8205410Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T08:44:33.4172937Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4173427Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4173752Z return mod(*inputs) 2025-12-04T08:44:33.4174114Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4174470Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4174803Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 44, in forward 2025-12-04T08:44:33.4175176Z mask = (x > 0).unsqueeze(1).repeat(1, x.size(1), 1).unsqueeze(1) 2025-12-04T08:44:33.4175343Z 2025-12-04T08:44:33.4175459Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4175806Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4176159Z return mod(*inputs) 2025-12-04T08:44:33.4176489Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4177718Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4178065Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 47, in forward 2025-12-04T08:44:33.4178403Z x = self.embedding(x, segment_info) 2025-12-04T08:44:33.4178764Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/embedding/bert.py", line 32, in forward 2025-12-04T08:44:33.4179198Z x = self.token(sequence) + self.position(sequence) + self.segment(segment_label) 2025-12-04T08:44:33.4179404Z 2025-12-04T08:44:33.4179508Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4179862Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4180301Z return mod(*inputs) 2025-12-04T08:44:33.4180613Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4180959Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4181274Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4181600Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4181937Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4182309Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4182676Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4183044Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4183416Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4183792Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4184190Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-12-04T08:44:33.4184551Z query, key, value = [ 2025-12-04T08:44:33.4184913Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-12-04T08:44:33.4185390Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-12-04T08:44:33.4185547Z 2025-12-04T08:44:33.4185656Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4185987Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4186290Z return mod(*inputs) 2025-12-04T08:44:33.4186607Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4186942Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4187266Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4187614Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4187964Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4188319Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4188686Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4189071Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4189441Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4189815Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4190210Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-12-04T08:44:33.4190573Z query, key, value = [ 2025-12-04T08:44:33.4190919Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-12-04T08:44:33.4191384Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-12-04T08:44:33.4191554Z 2025-12-04T08:44:33.4191659Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4192013Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4192323Z return mod(*inputs) 2025-12-04T08:44:33.4192654Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4193014Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4193337Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4193678Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4194069Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4194430Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4194793Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4195179Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4195557Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4195928Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4196323Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:44:33.4196745Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:44:33.4197161Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-12-04T08:44:33.4197599Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-12-04T08:44:33.4197810Z 2025-12-04T08:44:33.4197911Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4198255Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4198571Z return mod(*inputs) 2025-12-04T08:44:33.4198893Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4199246Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4199570Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4199900Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4200244Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4200608Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4200972Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4201358Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4201736Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4202263Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4202713Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:44:33.4203189Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:44:33.4203633Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-12-04T08:44:33.4204073Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-12-04T08:44:33.4204283Z 2025-12-04T08:44:33.4204393Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4204734Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4205044Z return mod(*inputs) 2025-12-04T08:44:33.4205409Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4205758Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4206073Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4206404Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4206745Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4207097Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4207461Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4207887Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4208275Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4208649Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4209057Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:44:33.4209477Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:44:33.4209884Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-12-04T08:44:33.4210318Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-12-04T08:44:33.4210524Z 2025-12-04T08:44:33.4210626Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4210974Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4211282Z return mod(*inputs) 2025-12-04T08:44:33.4211605Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4211954Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4212271Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4212596Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4212947Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4213308Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4213671Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4214048Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4214424Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4214801Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4215508Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-12-04T08:44:33.4216151Z query, key, value = [ 2025-12-04T08:44:33.4216508Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-12-04T08:44:33.4216953Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-12-04T08:44:33.4217112Z 2025-12-04T08:44:33.4217216Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4217573Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4217900Z return mod(*inputs) 2025-12-04T08:44:33.4218231Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4218584Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4218908Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4219366Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4219704Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4220064Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4220451Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4220837Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4221210Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4221611Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4222086Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:44:33.4222506Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:44:33.4222914Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-12-04T08:44:33.4223292Z return torch.matmul(p_attn, value), p_attn 2025-12-04T08:44:33.4223432Z 2025-12-04T08:44:33.4223545Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4223889Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4224207Z return mod(*inputs) 2025-12-04T08:44:33.4224549Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4224897Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4225213Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4225550Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4225890Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4226247Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4226612Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4226995Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4227370Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4227738Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4228145Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:44:33.4228565Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:44:33.4228976Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-12-04T08:44:33.4229339Z return torch.matmul(p_attn, value), p_attn 2025-12-04T08:44:33.4229485Z 2025-12-04T08:44:33.4229588Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4229933Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4230235Z return mod(*inputs) 2025-12-04T08:44:33.4230557Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4230907Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4231234Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4231553Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4231896Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4232256Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4232609Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4233030Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4233410Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4233795Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4234193Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-12-04T08:44:33.4234630Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-12-04T08:44:33.4234830Z 2025-12-04T08:44:33.4234935Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4235283Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4235624Z return mod(*inputs) 2025-12-04T08:44:33.4235949Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4236305Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4236617Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4236946Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4237283Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4237642Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4238000Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4238383Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4238762Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4239132Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4239534Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward 2025-12-04T08:44:33.4239902Z return self.output_linear(x) 2025-12-04T08:44:33.4240024Z 2025-12-04T08:44:33.4240132Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4240471Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4240784Z return mod(*inputs) 2025-12-04T08:44:33.4241107Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4241451Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4241768Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4242189Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4242569Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-12-04T08:44:33.4242970Z x = self.output_sublayer(x, self.feed_forward) 2025-12-04T08:44:33.4243382Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4243795Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4244191Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-12-04T08:44:33.4244590Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-12-04T08:44:33.4244765Z 2025-12-04T08:44:33.4244869Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4245220Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4245528Z return mod(*inputs) 2025-12-04T08:44:33.4245852Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4246203Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4246564Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4246888Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4247226Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-12-04T08:44:33.4247581Z x = self.output_sublayer(x, self.feed_forward) 2025-12-04T08:44:33.4247931Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4248334Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4248714Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-12-04T08:44:33.4249136Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-12-04T08:44:33.4249291Z 2025-12-04T08:44:33.4249391Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4249730Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4250035Z return mod(*inputs) 2025-12-04T08:44:33.4250352Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4250687Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4251003Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4251324Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4251649Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-12-04T08:44:33.4252002Z x = self.output_sublayer(x, self.feed_forward) 2025-12-04T08:44:33.4252360Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4252732Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4253108Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-12-04T08:44:33.4253499Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-12-04T08:44:33.4253656Z 2025-12-04T08:44:33.4253765Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4254105Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4254407Z return mod(*inputs) 2025-12-04T08:44:33.4254727Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4255087Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4255398Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4255723Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4256057Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4256433Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4256807Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4257198Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4257655Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4258029Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4258428Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-12-04T08:44:33.4258793Z query, key, value = [ 2025-12-04T08:44:33.4259153Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-12-04T08:44:33.4259563Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-12-04T08:44:33.4259738Z 2025-12-04T08:44:33.4259874Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4260211Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4260505Z return mod(*inputs) 2025-12-04T08:44:33.4260817Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4261157Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4261470Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4261783Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4262115Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4262504Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4262853Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4263227Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4263591Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4263958Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4264336Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-12-04T08:44:33.4264689Z query, key, value = [ 2025-12-04T08:44:33.4265036Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-12-04T08:44:33.4265435Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-12-04T08:44:33.4265587Z 2025-12-04T08:44:33.4265686Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4266023Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4266326Z return mod(*inputs) 2025-12-04T08:44:33.4266635Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4266981Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4267295Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4267616Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4267942Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4268292Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4268644Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4269009Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4269374Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4269741Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4270125Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:44:33.4270524Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:44:33.4270923Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-12-04T08:44:33.4271341Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-12-04T08:44:33.4271532Z 2025-12-04T08:44:33.4271641Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4271973Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4272272Z return mod(*inputs) 2025-12-04T08:44:33.4272633Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4272966Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4273279Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4273600Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4273930Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4274269Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4274619Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4274987Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4275388Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4275747Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4276135Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:44:33.4276542Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:44:33.4276932Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-12-04T08:44:33.4277350Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-12-04T08:44:33.4277546Z 2025-12-04T08:44:33.4277646Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4277981Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4278276Z return mod(*inputs) 2025-12-04T08:44:33.4278594Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4278934Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4279240Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4279558Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4279889Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4280234Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4280580Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4280952Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4281312Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4281682Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4282159Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:44:33.4282614Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:44:33.4283042Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-12-04T08:44:33.4283488Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-12-04T08:44:33.4283703Z 2025-12-04T08:44:33.4283804Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4284141Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4284450Z return mod(*inputs) 2025-12-04T08:44:33.4284760Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4285111Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4285429Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4285751Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4286106Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4286461Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4286814Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4287182Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4287548Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4287914Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4288299Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-12-04T08:44:33.4288672Z query, key, value = [ 2025-12-04T08:44:33.4289016Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-12-04T08:44:33.4289420Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-12-04T08:44:33.4289574Z 2025-12-04T08:44:33.4289674Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4290009Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4290308Z return mod(*inputs) 2025-12-04T08:44:33.4290625Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4290956Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4291268Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4291588Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4291914Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4292259Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4292613Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4292982Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4293336Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4293703Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4294087Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:44:33.4294491Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:44:33.4294879Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-12-04T08:44:33.4295244Z return torch.matmul(p_attn, value), p_attn 2025-12-04T08:44:33.4295378Z 2025-12-04T08:44:33.4295485Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4295813Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4296117Z return mod(*inputs) 2025-12-04T08:44:33.4296430Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4296771Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4297075Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4297399Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4297731Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4298073Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4298430Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4298802Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4299192Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4299555Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4299948Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:44:33.4300358Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:44:33.4300754Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-12-04T08:44:33.4301110Z return torch.matmul(p_attn, value), p_attn 2025-12-04T08:44:33.4301289Z 2025-12-04T08:44:33.4301388Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4301722Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4302015Z return mod(*inputs) 2025-12-04T08:44:33.4302331Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4302673Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4302985Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4303297Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4303630Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4303976Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4304322Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4304698Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4305064Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4305429Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4305806Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-12-04T08:44:33.4306226Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-12-04T08:44:33.4306411Z 2025-12-04T08:44:33.4306510Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4306845Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4307139Z return mod(*inputs) 2025-12-04T08:44:33.4307451Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4307793Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4308096Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4308413Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4308742Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4309089Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4309429Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4309803Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4310167Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4310532Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4310908Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward 2025-12-04T08:44:33.4311265Z return self.output_linear(x) 2025-12-04T08:44:33.4311382Z 2025-12-04T08:44:33.4311488Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4311850Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4312158Z return mod(*inputs) 2025-12-04T08:44:33.4312476Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4312816Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4313120Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4313440Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4313774Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-12-04T08:44:33.4314114Z x = self.output_sublayer(x, self.feed_forward) 2025-12-04T08:44:33.4314499Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4314870Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4315253Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-12-04T08:44:33.4315825Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-12-04T08:44:33.4316001Z 2025-12-04T08:44:33.4316104Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4316443Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4316742Z return mod(*inputs) 2025-12-04T08:44:33.4317061Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4317408Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4317726Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4318045Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4318425Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-12-04T08:44:33.4318812Z x = self.output_sublayer(x, self.feed_forward) 2025-12-04T08:44:33.4319183Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4319569Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4320032Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-12-04T08:44:33.4320501Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-12-04T08:44:33.4320673Z 2025-12-04T08:44:33.4320777Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4321129Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4321444Z return mod(*inputs) 2025-12-04T08:44:33.4321775Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4322237Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4322578Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4322911Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4323262Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-12-04T08:44:33.4323634Z x = self.output_sublayer(x, self.feed_forward) 2025-12-04T08:44:33.4324042Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4324432Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4324836Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-12-04T08:44:33.4325252Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-12-04T08:44:33.4325421Z 2025-12-04T08:44:33.4325524Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4325961Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4326285Z return mod(*inputs) 2025-12-04T08:44:33.4326613Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4326962Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4327288Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4327626Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4327965Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-12-04T08:44:33.4328381Z x = self.output_sublayer(x, self.feed_forward) 2025-12-04T08:44:33.4328747Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4329133Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4329290Z 2025-12-04T08:44:33.4329393Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4329743Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4330061Z return mod(*inputs) 2025-12-04T08:44:33.4330379Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4330734Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4331067Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4331402Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4331745Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4332114Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4332485Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4332873Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4333241Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4333611Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4334000Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-12-04T08:44:33.4334345Z query, key, value = [ 2025-12-04T08:44:33.4334692Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-12-04T08:44:33.4335099Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-12-04T08:44:33.4335252Z 2025-12-04T08:44:33.4335356Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4335685Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4335987Z return mod(*inputs) 2025-12-04T08:44:33.4336299Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4336631Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4336940Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4337256Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4337585Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4337923Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4338273Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4338640Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4339038Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4339401Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4339785Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-12-04T08:44:33.4340138Z query, key, value = [ 2025-12-04T08:44:33.4340479Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-12-04T08:44:33.4340880Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-12-04T08:44:33.4341038Z 2025-12-04T08:44:33.4341138Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4341506Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4341811Z return mod(*inputs) 2025-12-04T08:44:33.4342139Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4342479Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4342783Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4343104Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4343432Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4343779Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4344123Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4344492Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4344857Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4345218Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4345597Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:44:33.4346006Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:44:33.4346401Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-12-04T08:44:33.4346815Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-12-04T08:44:33.4347015Z 2025-12-04T08:44:33.4347114Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4347448Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4347749Z return mod(*inputs) 2025-12-04T08:44:33.4348057Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4348397Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4348709Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4349020Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4349350Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4349697Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4350047Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4350409Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4350771Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4351139Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4351526Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:44:33.4351957Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:44:33.4352355Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-12-04T08:44:33.4352771Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-12-04T08:44:33.4352961Z 2025-12-04T08:44:33.4353060Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4353395Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4353697Z return mod(*inputs) 2025-12-04T08:44:33.4354012Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4354379Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4354690Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4355007Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4355328Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4355672Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4356022Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4356388Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4356741Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4357106Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4357492Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:44:33.4357898Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:44:33.4358292Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-12-04T08:44:33.4358724Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-12-04T08:44:33.4358921Z 2025-12-04T08:44:33.4359029Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4359371Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4359669Z return mod(*inputs) 2025-12-04T08:44:33.4359986Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4360333Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4360645Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4360985Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4361324Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4361684Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4362104Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4362500Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4362898Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4363298Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4363696Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-12-04T08:44:33.4364059Z query, key, value = [ 2025-12-04T08:44:33.4364415Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-12-04T08:44:33.4364826Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-12-04T08:44:33.4364992Z 2025-12-04T08:44:33.4365127Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4365472Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4365778Z return mod(*inputs) 2025-12-04T08:44:33.4366102Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4366456Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4366780Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4367103Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4367445Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4367847Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4368211Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4368585Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4368960Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4369338Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4369726Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:44:33.4370140Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:44:33.4370547Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-12-04T08:44:33.4370916Z return torch.matmul(p_attn, value), p_attn 2025-12-04T08:44:33.4371056Z 2025-12-04T08:44:33.4371156Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4371498Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4371808Z return mod(*inputs) 2025-12-04T08:44:33.4372124Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4372472Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4372794Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4373121Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4373452Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4373810Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4374179Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4374546Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4374901Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4375270Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4375658Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:44:33.4376055Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:44:33.4376446Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-12-04T08:44:33.4376804Z return torch.matmul(p_attn, value), p_attn 2025-12-04T08:44:33.4376937Z 2025-12-04T08:44:33.4377041Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4377370Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4377672Z return mod(*inputs) 2025-12-04T08:44:33.4377988Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4378317Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4378658Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4378980Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4379306Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4379643Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4379994Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4380363Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4380724Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4381117Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4381501Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-12-04T08:44:33.4381915Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-12-04T08:44:33.4382093Z 2025-12-04T08:44:33.4382192Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4382527Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4382826Z return mod(*inputs) 2025-12-04T08:44:33.4383137Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4383469Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4383781Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4384100Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4384420Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4384765Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4385119Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4385486Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4385841Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4386214Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4386599Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward 2025-12-04T08:44:33.4386957Z return self.output_linear(x) 2025-12-04T08:44:33.4387073Z 2025-12-04T08:44:33.4387174Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4387507Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4387810Z return mod(*inputs) 2025-12-04T08:44:33.4388117Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4388456Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4388769Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4389091Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4389413Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-12-04T08:44:33.4389762Z x = self.output_sublayer(x, self.feed_forward) 2025-12-04T08:44:33.4390115Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4390531Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4390915Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-12-04T08:44:33.4391353Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-12-04T08:44:33.4391511Z 2025-12-04T08:44:33.4391622Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4391955Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4392285Z return mod(*inputs) 2025-12-04T08:44:33.4392598Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4392930Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4393242Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4393558Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4393924Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-12-04T08:44:33.4394268Z x = self.output_sublayer(x, self.feed_forward) 2025-12-04T08:44:33.4394626Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4394996Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4395375Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-12-04T08:44:33.4395760Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-12-04T08:44:33.4395926Z 2025-12-04T08:44:33.4396026Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4396364Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4396661Z return mod(*inputs) 2025-12-04T08:44:33.4396981Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4397329Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4397645Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4397965Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4398306Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-12-04T08:44:33.4398658Z x = self.output_sublayer(x, self.feed_forward) 2025-12-04T08:44:33.4399007Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4399382Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4399763Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-12-04T08:44:33.4400158Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-12-04T08:44:33.4400318Z 2025-12-04T08:44:33.4400417Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4400752Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4401058Z return mod(*inputs) 2025-12-04T08:44:33.4401376Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4401712Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4402086Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4402460Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4402818Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4403204Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4403574Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4403963Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4404339Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4404749Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4405143Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-12-04T08:44:33.4405497Z query, key, value = [ 2025-12-04T08:44:33.4405854Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-12-04T08:44:33.4406265Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-12-04T08:44:33.4406426Z 2025-12-04T08:44:33.4406533Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4406869Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4407213Z return mod(*inputs) 2025-12-04T08:44:33.4407536Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4407885Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4408201Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4408527Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4408863Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4409211Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4409571Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4409948Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4410320Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4410688Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4411082Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-12-04T08:44:33.4411444Z query, key, value = [ 2025-12-04T08:44:33.4411788Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-12-04T08:44:33.4412196Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-12-04T08:44:33.4412357Z 2025-12-04T08:44:33.4412459Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4412806Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4413111Z return mod(*inputs) 2025-12-04T08:44:33.4413436Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4413783Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4414098Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4414425Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4414768Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4415126Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4415480Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4416033Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4416419Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4416797Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4417190Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:44:33.4417630Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:44:33.4418093Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-12-04T08:44:33.4418510Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-12-04T08:44:33.4418711Z 2025-12-04T08:44:33.4418811Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4419149Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4419452Z return mod(*inputs) 2025-12-04T08:44:33.4419760Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4420103Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4420421Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4420804Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4421131Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4421480Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4421832Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4422198Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4422561Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4422928Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4423315Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:44:33.4423719Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:44:33.4424124Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-12-04T08:44:33.4424546Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-12-04T08:44:33.4424742Z 2025-12-04T08:44:33.4424849Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4425308Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4425618Z return mod(*inputs) 2025-12-04T08:44:33.4425933Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4426265Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4426581Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4426903Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4427234Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4427581Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4427938Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4428315Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4428673Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4429045Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4429433Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:44:33.4429839Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:44:33.4430227Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-12-04T08:44:33.4430645Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-12-04T08:44:33.4430834Z 2025-12-04T08:44:33.4430939Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4431317Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4431616Z return mod(*inputs) 2025-12-04T08:44:33.4431933Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4432277Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4432584Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4432908Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4433243Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4433594Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4433973Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4434342Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4434707Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4435065Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4435449Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-12-04T08:44:33.4435798Z query, key, value = [ 2025-12-04T08:44:33.4436140Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-12-04T08:44:33.4436531Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-12-04T08:44:33.4436688Z 2025-12-04T08:44:33.4436787Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4437124Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4437423Z return mod(*inputs) 2025-12-04T08:44:33.4437732Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4438071Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4438380Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4438693Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4439025Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4439372Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4439723Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4440085Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4440449Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4440810Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4441189Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:44:33.4441595Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:44:33.4441999Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-12-04T08:44:33.4442449Z return torch.matmul(p_attn, value), p_attn 2025-12-04T08:44:33.4442600Z 2025-12-04T08:44:33.4442706Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4443065Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4443441Z return mod(*inputs) 2025-12-04T08:44:33.4443756Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4444084Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4444436Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4444762Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4445094Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4445448Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4445805Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4446180Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4446543Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4446942Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4447326Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:44:33.4447727Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:44:33.4448122Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-12-04T08:44:33.4448480Z return torch.matmul(p_attn, value), p_attn 2025-12-04T08:44:33.4448614Z 2025-12-04T08:44:33.4448721Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4449049Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4449352Z return mod(*inputs) 2025-12-04T08:44:33.4449667Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4450007Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4450314Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4450635Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4450975Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4451319Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4451678Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4452046Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4452406Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4452767Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4453154Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-12-04T08:44:33.4453569Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-12-04T08:44:33.4453747Z 2025-12-04T08:44:33.4453845Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4454186Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4454484Z return mod(*inputs) 2025-12-04T08:44:33.4454795Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4455128Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4455441Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4455763Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4456085Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4456431Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4456787Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4457154Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4457545Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4457909Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4458293Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward 2025-12-04T08:44:33.4458647Z return self.output_linear(x) 2025-12-04T08:44:33.4458762Z 2025-12-04T08:44:33.4458860Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4459199Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4459504Z return mod(*inputs) 2025-12-04T08:44:33.4459813Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4460221Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4460533Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4460854Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4461174Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-12-04T08:44:33.4461516Z x = self.output_sublayer(x, self.feed_forward) 2025-12-04T08:44:33.4461872Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4462233Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4462614Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-12-04T08:44:33.4463001Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-12-04T08:44:33.4463160Z 2025-12-04T08:44:33.4463264Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4463589Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4463894Z return mod(*inputs) 2025-12-04T08:44:33.4464208Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4464546Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4464852Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4465171Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4465503Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-12-04T08:44:33.4465841Z x = self.output_sublayer(x, self.feed_forward) 2025-12-04T08:44:33.4466194Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4466563Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4466938Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-12-04T08:44:33.4467317Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-12-04T08:44:33.4467482Z 2025-12-04T08:44:33.4467579Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4467911Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4468203Z return mod(*inputs) 2025-12-04T08:44:33.4468513Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4468850Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4469159Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4469480Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4469810Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-12-04T08:44:33.4470157Z x = self.output_sublayer(x, self.feed_forward) 2025-12-04T08:44:33.4470556Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4470928Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4471303Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-12-04T08:44:33.4471687Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-12-04T08:44:33.4471844Z 2025-12-04T08:44:33.4471942Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4472275Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4472611Z return mod(*inputs) 2025-12-04T08:44:33.4472929Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4473266Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4473586Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4473911Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4474239Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-12-04T08:44:33.4474588Z x = self.output_sublayer(x, self.feed_forward) 2025-12-04T08:44:33.4474942Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4475313Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4475464Z 2025-12-04T08:44:33.4475566Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4475907Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4476210Z return mod(*inputs) 2025-12-04T08:44:33.4476518Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4476862Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4477179Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4477503Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4477829Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4478183Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4478539Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4478914Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4479275Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4479645Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4480047Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-12-04T08:44:33.4480409Z query, key, value = [ 2025-12-04T08:44:33.4480770Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-12-04T08:44:33.4481184Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-12-04T08:44:33.4481344Z 2025-12-04T08:44:33.4481456Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4481799Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4482182Z return mod(*inputs) 2025-12-04T08:44:33.4482516Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4482886Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4483228Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4483613Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4483980Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4484334Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4484702Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4485082Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4485445Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4485825Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4486252Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-12-04T08:44:33.4486614Z query, key, value = [ 2025-12-04T08:44:33.4486960Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-12-04T08:44:33.4487365Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-12-04T08:44:33.4487526Z 2025-12-04T08:44:33.4487627Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4487970Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4488270Z return mod(*inputs) 2025-12-04T08:44:33.4488590Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4488937Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4489244Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4489569Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4489904Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4490263Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4490615Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4490991Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4491359Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4491724Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4492115Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:44:33.4492532Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:44:33.4492937Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-12-04T08:44:33.4493355Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-12-04T08:44:33.4493560Z 2025-12-04T08:44:33.4493661Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4494001Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4494307Z return mod(*inputs) 2025-12-04T08:44:33.4494626Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4494965Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4495271Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4495581Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4495911Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4496258Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4496638Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4497002Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4497365Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4497729Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4498114Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:44:33.4498511Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:44:33.4498903Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-12-04T08:44:33.4499346Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-12-04T08:44:33.4499536Z 2025-12-04T08:44:33.4499633Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4499971Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4500274Z return mod(*inputs) 2025-12-04T08:44:33.4500589Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4500918Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4501225Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4501543Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4501865Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4502211Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4502564Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4502932Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4503288Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4503655Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4504042Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:44:33.4504449Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:44:33.4504836Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-12-04T08:44:33.4505255Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-12-04T08:44:33.4505446Z 2025-12-04T08:44:33.4505555Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4505881Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4506182Z return mod(*inputs) 2025-12-04T08:44:33.4506497Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4506833Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4507136Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4507453Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4507780Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4508117Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4508465Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4508833Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4509192Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4509583Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4509972Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-12-04T08:44:33.4510323Z query, key, value = [ 2025-12-04T08:44:33.4510664Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-12-04T08:44:33.4511056Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-12-04T08:44:33.4511218Z 2025-12-04T08:44:33.4511318Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4511652Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4511982Z return mod(*inputs) 2025-12-04T08:44:33.4512298Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4512641Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4512955Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4513270Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4513602Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4513951Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4514294Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4514665Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4515030Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4515399Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4515903Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:44:33.4516324Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:44:33.4516722Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-12-04T08:44:33.4517088Z return torch.matmul(p_attn, value), p_attn 2025-12-04T08:44:33.4517225Z 2025-12-04T08:44:33.4517326Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4517661Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4517966Z return mod(*inputs) 2025-12-04T08:44:33.4518273Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4518619Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4518930Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4519248Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4519573Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4519920Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4520273Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4520641Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4521050Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4521418Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4521801Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:44:33.4522252Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:44:33.4522672Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-12-04T08:44:33.4523125Z return torch.matmul(p_attn, value), p_attn 2025-12-04T08:44:33.4523269Z 2025-12-04T08:44:33.4523379Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4523721Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4524044Z return mod(*inputs) 2025-12-04T08:44:33.4524358Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4524703Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4525031Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4525413Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4525756Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4526115Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4526486Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4526878Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4527249Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4527635Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4528037Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-12-04T08:44:33.4528472Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-12-04T08:44:33.4528660Z 2025-12-04T08:44:33.4528767Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4529120Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4529439Z return mod(*inputs) 2025-12-04T08:44:33.4529775Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4530124Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4530453Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4530792Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4531130Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4531500Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4531873Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4532261Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4532633Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4533021Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4533469Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward 2025-12-04T08:44:33.4533825Z return self.output_linear(x) 2025-12-04T08:44:33.4533941Z 2025-12-04T08:44:33.4534040Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4534377Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4534677Z return mod(*inputs) 2025-12-04T08:44:33.4534980Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4535320Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4535633Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4535948Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4536302Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-12-04T08:44:33.4536658Z x = self.output_sublayer(x, self.feed_forward) 2025-12-04T08:44:33.4537018Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4537387Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4537773Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-12-04T08:44:33.4538171Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-12-04T08:44:33.4538332Z 2025-12-04T08:44:33.4538439Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4538803Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4539107Z return mod(*inputs) 2025-12-04T08:44:33.4539429Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4539765Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4540084Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4540407Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4540741Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-12-04T08:44:33.4541087Z x = self.output_sublayer(x, self.feed_forward) 2025-12-04T08:44:33.4541445Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4541820Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4542208Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-12-04T08:44:33.4542593Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-12-04T08:44:33.4542760Z 2025-12-04T08:44:33.4542862Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4543199Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4543496Z return mod(*inputs) 2025-12-04T08:44:33.4543814Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4544158Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4544476Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4544794Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4545131Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-12-04T08:44:33.4545488Z x = self.output_sublayer(x, self.feed_forward) 2025-12-04T08:44:33.4545839Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4546221Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4546609Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-12-04T08:44:33.4547004Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-12-04T08:44:33.4547163Z 2025-12-04T08:44:33.4547264Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4547605Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4547911Z return mod(*inputs) 2025-12-04T08:44:33.4548226Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4548577Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4548892Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4549218Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4549581Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4549931Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4550284Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4550652Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4551005Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4551369Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4551755Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-12-04T08:44:33.4552134Z query, key, value = [ 2025-12-04T08:44:33.4552479Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-12-04T08:44:33.4552884Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-12-04T08:44:33.4553037Z 2025-12-04T08:44:33.4553144Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4553473Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4553772Z return mod(*inputs) 2025-12-04T08:44:33.4554082Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4554413Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4554724Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4555044Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4555375Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4555715Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4556069Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4556435Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4556795Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4557155Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4557539Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-12-04T08:44:33.4557887Z query, key, value = [ 2025-12-04T08:44:33.4558218Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-12-04T08:44:33.4558617Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-12-04T08:44:33.4558775Z 2025-12-04T08:44:33.4558873Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4559207Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4559503Z return mod(*inputs) 2025-12-04T08:44:33.4559816Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4560152Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4560460Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4560783Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4561131Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4561479Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4561828Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4562284Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4562706Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4563076Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4563455Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:44:33.4563867Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:44:33.4564266Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-12-04T08:44:33.4564676Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-12-04T08:44:33.4564928Z 2025-12-04T08:44:33.4565030Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4565371Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4565675Z return mod(*inputs) 2025-12-04T08:44:33.4565984Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4566326Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4566641Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4566954Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4567286Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4567637Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4567993Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4568360Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4568724Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4569095Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4569484Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:44:33.4569886Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:44:33.4570281Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-12-04T08:44:33.4570701Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-12-04T08:44:33.4570892Z 2025-12-04T08:44:33.4570998Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4571329Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4571636Z return mod(*inputs) 2025-12-04T08:44:33.4571950Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4572287Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4572600Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4572921Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4573243Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4573591Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4573946Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4574315Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4574671Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4575037Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4575453Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:44:33.4575858Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:44:33.4576242Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-12-04T08:44:33.4576656Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-12-04T08:44:33.4576847Z 2025-12-04T08:44:33.4576952Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4577286Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4577582Z return mod(*inputs) 2025-12-04T08:44:33.4577898Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4578271Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4578577Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4578899Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4579231Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4579578Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4579923Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4580292Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4580652Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4581009Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4581396Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-12-04T08:44:33.4581747Z query, key, value = [ 2025-12-04T08:44:33.4582092Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-12-04T08:44:33.4582481Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-12-04T08:44:33.4582641Z 2025-12-04T08:44:33.4582741Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4583074Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4583375Z return mod(*inputs) 2025-12-04T08:44:33.4583682Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4584021Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4584335Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4584648Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4584979Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4585330Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4585679Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4586043Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4586403Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4586769Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4587144Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:44:33.4587550Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:44:33.4587947Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-12-04T08:44:33.4588305Z return torch.matmul(p_attn, value), p_attn 2025-12-04T08:44:33.4588441Z 2025-12-04T08:44:33.4588569Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4588906Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4589209Z return mod(*inputs) 2025-12-04T08:44:33.4589515Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4589855Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4590162Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4590479Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4590802Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4591183Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4591539Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4591907Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4592264Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4592629Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4593012Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:44:33.4593410Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:44:33.4593805Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-12-04T08:44:33.4594167Z return torch.matmul(p_attn, value), p_attn 2025-12-04T08:44:33.4594301Z 2025-12-04T08:44:33.4594409Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4594739Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4595045Z return mod(*inputs) 2025-12-04T08:44:33.4595358Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4595697Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4596018Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4596348Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4596685Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4597036Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4597397Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4597776Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4598151Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4598519Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4598913Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-12-04T08:44:33.4599333Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-12-04T08:44:33.4599517Z 2025-12-04T08:44:33.4599618Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4599961Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4600275Z return mod(*inputs) 2025-12-04T08:44:33.4600587Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4600922Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4601232Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4601593Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4601936Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4602397Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4602775Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4603176Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4603541Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4603920Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4604365Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward 2025-12-04T08:44:33.4604722Z return self.output_linear(x) 2025-12-04T08:44:33.4604838Z 2025-12-04T08:44:33.4604946Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4605278Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4605578Z return mod(*inputs) 2025-12-04T08:44:33.4605883Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4606220Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4606530Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4606845Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4607163Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-12-04T08:44:33.4607507Z x = self.output_sublayer(x, self.feed_forward) 2025-12-04T08:44:33.4607858Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4608219Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4608595Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-12-04T08:44:33.4608986Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-12-04T08:44:33.4609142Z 2025-12-04T08:44:33.4609246Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4609569Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4609871Z return mod(*inputs) 2025-12-04T08:44:33.4610185Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4610522Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4610715Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4610787Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4611003Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-12-04T08:44:33.4611087Z x = self.output_sublayer(x, self.feed_forward) 2025-12-04T08:44:33.4611299Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4611407Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4611626Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-12-04T08:44:33.4611742Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-12-04T08:44:33.4611745Z 2025-12-04T08:44:33.4611842Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4612024Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4612095Z return mod(*inputs) 2025-12-04T08:44:33.4612336Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4612405Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4612605Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4612676Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4612891Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-12-04T08:44:33.4612976Z x = self.output_sublayer(x, self.feed_forward) 2025-12-04T08:44:33.4613188Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4613342Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4613563Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-12-04T08:44:33.4613676Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-12-04T08:44:33.4613681Z 2025-12-04T08:44:33.4613780Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4613965Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4614034Z return mod(*inputs) 2025-12-04T08:44:33.4614246Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4614314Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4614513Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4614582Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4614796Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-12-04T08:44:33.4614878Z x = self.output_sublayer(x, self.feed_forward) 2025-12-04T08:44:33.4615093Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4615201Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4615204Z 2025-12-04T08:44:33.4615299Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4615486Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4615548Z return mod(*inputs) 2025-12-04T08:44:33.4615861Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4615940Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4616132Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4616207Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4616423Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4616510Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4616737Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4616840Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4617053Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4617166Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4617404Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-12-04T08:44:33.4617473Z query, key, value = [ 2025-12-04T08:44:33.4617737Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-12-04T08:44:33.4617846Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-12-04T08:44:33.4617849Z 2025-12-04T08:44:33.4618010Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4618194Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4618257Z return mod(*inputs) 2025-12-04T08:44:33.4618476Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4618544Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4618736Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4618813Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4619024Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4619170Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4619391Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4619496Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4619719Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4619825Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4620069Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-12-04T08:44:33.4620138Z query, key, value = [ 2025-12-04T08:44:33.4620382Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-12-04T08:44:33.4620495Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-12-04T08:44:33.4620500Z 2025-12-04T08:44:33.4620598Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4620784Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4620859Z return mod(*inputs) 2025-12-04T08:44:33.4621080Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4621158Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4621356Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4621428Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4621645Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4621728Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4621946Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4622056Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4622266Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4622381Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4622615Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:44:33.4622743Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:44:33.4622976Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-12-04T08:44:33.4623124Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-12-04T08:44:33.4623128Z 2025-12-04T08:44:33.4623233Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4623421Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4623487Z return mod(*inputs) 2025-12-04T08:44:33.4623712Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4623820Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4624021Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4624101Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4624316Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4624409Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4624626Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4624728Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4624948Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4625086Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4625335Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:44:33.4625459Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:44:33.4625685Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-12-04T08:44:33.4625837Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-12-04T08:44:33.4625841Z 2025-12-04T08:44:33.4625939Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4626132Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4626196Z return mod(*inputs) 2025-12-04T08:44:33.4626413Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4626493Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4626691Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4626764Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4626980Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4627064Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4627289Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4627390Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4627598Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4627708Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4627944Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:44:33.4628067Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:44:33.4628303Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-12-04T08:44:33.4628447Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-12-04T08:44:33.4628450Z 2025-12-04T08:44:33.4628556Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4628742Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4628807Z return mod(*inputs) 2025-12-04T08:44:33.4629035Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4629105Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4629312Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4629384Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4629626Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4629722Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4629941Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4630045Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4630273Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4630374Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4630611Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-12-04T08:44:33.4630707Z query, key, value = [ 2025-12-04T08:44:33.4630946Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-12-04T08:44:33.4631057Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-12-04T08:44:33.4631063Z 2025-12-04T08:44:33.4631159Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4631347Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4631411Z return mod(*inputs) 2025-12-04T08:44:33.4631621Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4631697Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4631888Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4631959Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4632172Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4632254Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4632474Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4632575Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4632781Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4632889Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4633117Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:44:33.4633235Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:44:33.4633464Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-12-04T08:44:33.4633548Z return torch.matmul(p_attn, value), p_attn 2025-12-04T08:44:33.4633552Z 2025-12-04T08:44:33.4633653Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4633838Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4633901Z return mod(*inputs) 2025-12-04T08:44:33.4634120Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4634187Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4634383Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4634452Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4634656Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4634746Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4634967Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4635065Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4635317Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4635420Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4635654Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:44:33.4635773Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:44:33.4635990Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-12-04T08:44:33.4636081Z return torch.matmul(p_attn, value), p_attn 2025-12-04T08:44:33.4636084Z 2025-12-04T08:44:33.4636180Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4636401Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4636464Z return mod(*inputs) 2025-12-04T08:44:33.4636680Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4636754Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4636946Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4637017Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4637233Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4637316Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4637537Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4637640Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4637851Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4637960Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4638195Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-12-04T08:44:33.4638326Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-12-04T08:44:33.4638337Z 2025-12-04T08:44:33.4638435Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4638620Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4638690Z return mod(*inputs) 2025-12-04T08:44:33.4638905Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4638973Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4639175Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4639247Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4639467Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4639550Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4639764Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4639873Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4640078Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4640178Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4640419Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward 2025-12-04T08:44:33.4640496Z return self.output_linear(x) 2025-12-04T08:44:33.4640499Z 2025-12-04T08:44:33.4640605Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4640793Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4640898Z return mod(*inputs) 2025-12-04T08:44:33.4641126Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4641194Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4641383Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4641461Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4641667Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-12-04T08:44:33.4641756Z x = self.output_sublayer(x, self.feed_forward) 2025-12-04T08:44:33.4641967Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4642160Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4642406Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-12-04T08:44:33.4642515Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-12-04T08:44:33.4642519Z 2025-12-04T08:44:33.4642623Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4642813Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4642879Z return mod(*inputs) 2025-12-04T08:44:33.4643111Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4643183Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4643395Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4643480Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4643693Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-12-04T08:44:33.4643790Z x = self.output_sublayer(x, self.feed_forward) 2025-12-04T08:44:33.4644010Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4644112Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4644347Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-12-04T08:44:33.4644459Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-12-04T08:44:33.4644463Z 2025-12-04T08:44:33.4644579Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4644761Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4644827Z return mod(*inputs) 2025-12-04T08:44:33.4645049Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4645118Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4645309Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4645389Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4645593Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-12-04T08:44:33.4645681Z x = self.output_sublayer(x, self.feed_forward) 2025-12-04T08:44:33.4645890Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4645988Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4646215Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-12-04T08:44:33.4646324Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-12-04T08:44:33.4646327Z 2025-12-04T08:44:33.4646422Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4646644Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4646707Z return mod(*inputs) 2025-12-04T08:44:33.4646925Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4646992Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4647185Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4647262Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4647468Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4647559Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4647799Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4647898Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4648116Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4648216Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4648446Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-12-04T08:44:33.4648518Z query, key, value = [ 2025-12-04T08:44:33.4648754Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-12-04T08:44:33.4648866Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-12-04T08:44:33.4648869Z 2025-12-04T08:44:33.4648965Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4649148Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4649217Z return mod(*inputs) 2025-12-04T08:44:33.4649432Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4649501Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4649699Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4649771Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4649983Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4650065Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4650276Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4650382Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4650590Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4650700Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4650930Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-12-04T08:44:33.4650995Z query, key, value = [ 2025-12-04T08:44:33.4651241Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-12-04T08:44:33.4651343Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-12-04T08:44:33.4651347Z 2025-12-04T08:44:33.4651442Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4651632Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4651694Z return mod(*inputs) 2025-12-04T08:44:33.4651914Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4651982Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4652203Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4652284Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4652490Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4652573Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4652798Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4652897Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4653109Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4653211Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4653468Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:44:33.4653596Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:44:33.4653818Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-12-04T08:44:33.4653968Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-12-04T08:44:33.4653972Z 2025-12-04T08:44:33.4654069Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4654251Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4654321Z return mod(*inputs) 2025-12-04T08:44:33.4654532Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4654602Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4654798Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4654869Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4655084Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4655166Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4655379Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4655484Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4655688Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4655796Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4656025Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:44:33.4656147Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:44:33.4656370Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-12-04T08:44:33.4656514Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-12-04T08:44:33.4656518Z 2025-12-04T08:44:33.4656615Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4656804Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4656867Z return mod(*inputs) 2025-12-04T08:44:33.4657088Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4657156Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4657346Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4657429Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4657635Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4657725Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4657977Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4658078Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4658292Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4658393Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4658621Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:44:33.4658748Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:44:33.4658997Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-12-04T08:44:33.4659145Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-12-04T08:44:33.4659149Z 2025-12-04T08:44:33.4659246Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4659426Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4659497Z return mod(*inputs) 2025-12-04T08:44:33.4659708Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4659784Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4659974Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4660044Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4660255Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4660339Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4660549Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4660657Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4660861Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4660968Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4661194Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-12-04T08:44:33.4661259Z query, key, value = [ 2025-12-04T08:44:33.4661503Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-12-04T08:44:33.4661604Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-12-04T08:44:33.4661609Z 2025-12-04T08:44:33.4661712Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4661894Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4661955Z return mod(*inputs) 2025-12-04T08:44:33.4662172Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4662240Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4662432Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4662510Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4662714Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4662803Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4663014Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4663114Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4663325Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4663458Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4663685Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:44:33.4663812Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:44:33.4664031Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-12-04T08:44:33.4664121Z return torch.matmul(p_attn, value), p_attn 2025-12-04T08:44:33.4664125Z 2025-12-04T08:44:33.4664220Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4664403Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4664506Z return mod(*inputs) 2025-12-04T08:44:33.4664722Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4664799Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4664995Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4665065Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4665276Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4665358Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4665569Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4665678Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4665883Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4665995Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4666227Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:44:33.4666347Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:44:33.4666573Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-12-04T08:44:33.4666657Z return torch.matmul(p_attn, value), p_attn 2025-12-04T08:44:33.4666660Z 2025-12-04T08:44:33.4666764Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4666949Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4667011Z return mod(*inputs) 2025-12-04T08:44:33.4667230Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4667300Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4667490Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4667571Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4667778Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4667867Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4668079Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4668177Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4668388Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4668489Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4668722Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-12-04T08:44:33.4668857Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-12-04T08:44:33.4668861Z 2025-12-04T08:44:33.4668989Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4669180Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4669246Z return mod(*inputs) 2025-12-04T08:44:33.4669458Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4669538Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4669732Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4669805Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4670023Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4670140Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4670358Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4670461Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4670665Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4670774Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4671004Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward 2025-12-04T08:44:33.4671082Z return self.output_linear(x) 2025-12-04T08:44:33.4671086Z 2025-12-04T08:44:33.4671183Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4671367Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4671439Z return mod(*inputs) 2025-12-04T08:44:33.4671652Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4671720Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4671920Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4671992Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4672205Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-12-04T08:44:33.4672288Z x = self.output_sublayer(x, self.feed_forward) 2025-12-04T08:44:33.4672503Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4672611Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4672833Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-12-04T08:44:33.4672950Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-12-04T08:44:33.4672954Z 2025-12-04T08:44:33.4673052Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4673238Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4673306Z return mod(*inputs) 2025-12-04T08:44:33.4673517Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4673584Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4673782Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4673851Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4674063Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-12-04T08:44:33.4674146Z x = self.output_sublayer(x, self.feed_forward) 2025-12-04T08:44:33.4674361Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4674466Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4674718Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-12-04T08:44:33.4674827Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-12-04T08:44:33.4674838Z 2025-12-04T08:44:33.4674933Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4675114Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4675183Z return mod(*inputs) 2025-12-04T08:44:33.4675394Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4675462Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4675704Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4675774Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4675986Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-12-04T08:44:33.4676069Z x = self.output_sublayer(x, self.feed_forward) 2025-12-04T08:44:33.4676278Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4676383Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4676602Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-12-04T08:44:33.4676708Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-12-04T08:44:33.4676711Z 2025-12-04T08:44:33.4676813Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4676998Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4677069Z return mod(*inputs) 2025-12-04T08:44:33.4677281Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4677351Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4677548Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4677617Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4677821Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-12-04T08:44:33.4677909Z x = self.output_sublayer(x, self.feed_forward) 2025-12-04T08:44:33.4678122Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4678228Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4678234Z 2025-12-04T08:44:33.4678329Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4678511Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4678581Z return mod(*inputs) 2025-12-04T08:44:33.4678796Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4678872Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4679061Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4679132Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4679346Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4679428Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4679639Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4679748Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4679952Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4680092Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4680321Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-12-04T08:44:33.4680387Z query, key, value = [ 2025-12-04T08:44:33.4680632Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-12-04T08:44:33.4680735Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-12-04T08:44:33.4680738Z 2025-12-04T08:44:33.4680839Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4681024Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4681119Z return mod(*inputs) 2025-12-04T08:44:33.4681339Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4681407Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4681600Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4681679Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4681896Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4681988Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4682279Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4682388Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4682615Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4682728Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4682971Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-12-04T08:44:33.4683051Z query, key, value = [ 2025-12-04T08:44:33.4683312Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-12-04T08:44:33.4683425Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-12-04T08:44:33.4683429Z 2025-12-04T08:44:33.4683528Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4683709Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4683781Z return mod(*inputs) 2025-12-04T08:44:33.4683994Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4684071Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4684263Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4684337Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4684554Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4684638Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4684849Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4684956Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4685163Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4685270Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4685499Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:44:33.4685623Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:44:33.4685852Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-12-04T08:44:33.4686027Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-12-04T08:44:33.4686030Z 2025-12-04T08:44:33.4686133Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4686316Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4686377Z return mod(*inputs) 2025-12-04T08:44:33.4686596Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4686663Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4686853Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4686962Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4687168Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4687261Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4687476Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4687574Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4687785Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4687887Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4688115Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:44:33.4688241Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:44:33.4688462Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-12-04T08:44:33.4688606Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-12-04T08:44:33.4688611Z 2025-12-04T08:44:33.4688710Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4688891Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4688959Z return mod(*inputs) 2025-12-04T08:44:33.4689172Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4689246Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4689436Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4689506Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4689716Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4689799Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4690013Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4690123Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4690329Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4690435Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4690666Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:44:33.4690785Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:44:33.4691011Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-12-04T08:44:33.4691149Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-12-04T08:44:33.4691155Z 2025-12-04T08:44:33.4691259Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4691442Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4691534Z return mod(*inputs) 2025-12-04T08:44:33.4691754Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4691821Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4692010Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4692089Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4692294Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4692384Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4692593Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4692724Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4692939Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4693039Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4693275Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-12-04T08:44:33.4693340Z query, key, value = [ 2025-12-04T08:44:33.4693578Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-12-04T08:44:33.4693686Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-12-04T08:44:33.4693689Z 2025-12-04T08:44:33.4693785Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4693968Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4694041Z return mod(*inputs) 2025-12-04T08:44:33.4694253Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4694333Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4694522Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4694593Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4694806Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4694888Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4695101Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4695212Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4695418Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4695525Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4695755Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:44:33.4695873Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:44:33.4696108Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-12-04T08:44:33.4696192Z return torch.matmul(p_attn, value), p_attn 2025-12-04T08:44:33.4696196Z 2025-12-04T08:44:33.4696296Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4696479Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4696541Z return mod(*inputs) 2025-12-04T08:44:33.4696759Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4696829Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4697018Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4697132Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4697340Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4697430Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4697643Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4697740Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4697951Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4698050Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4698320Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:44:33.4698446Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:44:33.4698664Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-12-04T08:44:33.4698754Z return torch.matmul(p_attn, value), p_attn 2025-12-04T08:44:33.4698758Z 2025-12-04T08:44:33.4698853Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4699036Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4699105Z return mod(*inputs) 2025-12-04T08:44:33.4699315Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4699391Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4699579Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4699655Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4699867Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4699951Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4700163Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4700272Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4700477Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4700584Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4700809Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-12-04T08:44:33.4700936Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-12-04T08:44:33.4700942Z 2025-12-04T08:44:33.4701044Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4701225Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4701296Z return mod(*inputs) 2025-12-04T08:44:33.4701507Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4701575Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4701770Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4701840Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4702046Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4702133Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4702345Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4702450Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4702692Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4702800Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4703034Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward 2025-12-04T08:44:33.4703106Z return self.output_linear(x) 2025-12-04T08:44:33.4703109Z 2025-12-04T08:44:33.4703352Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4703535Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4703595Z return mod(*inputs) 2025-12-04T08:44:33.4703813Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4703916Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4704110Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4704190Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4704402Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-12-04T08:44:33.4704493Z x = self.output_sublayer(x, self.feed_forward) 2025-12-04T08:44:33.4704705Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4704805Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4705036Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-12-04T08:44:33.4705146Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-12-04T08:44:33.4705151Z 2025-12-04T08:44:33.4705253Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4705436Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4705498Z return mod(*inputs) 2025-12-04T08:44:33.4705722Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4705791Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4705980Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4706058Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4706265Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-12-04T08:44:33.4706354Z x = self.output_sublayer(x, self.feed_forward) 2025-12-04T08:44:33.4706565Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4706666Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4706896Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-12-04T08:44:33.4707005Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-12-04T08:44:33.4707008Z 2025-12-04T08:44:33.4707102Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4707291Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4707354Z return mod(*inputs) 2025-12-04T08:44:33.4707573Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4707641Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4707830Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4707908Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4708118Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-12-04T08:44:33.4708209Z x = self.output_sublayer(x, self.feed_forward) 2025-12-04T08:44:33.4708453Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4708552Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4708779Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-12-04T08:44:33.4708884Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-12-04T08:44:33.4708888Z 2025-12-04T08:44:33.4708981Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4709170Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4709231Z return mod(*inputs) 2025-12-04T08:44:33.4709483Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4709552Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4709745Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4709823Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4710027Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4710110Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4710328Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4710426Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4710637Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4710736Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4710965Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-12-04T08:44:33.4711038Z query, key, value = [ 2025-12-04T08:44:33.4711276Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-12-04T08:44:33.4711384Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-12-04T08:44:33.4711387Z 2025-12-04T08:44:33.4711481Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4711663Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4711732Z return mod(*inputs) 2025-12-04T08:44:33.4711948Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4712017Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4712215Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4712287Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4712501Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4712586Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4712799Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4712904Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4713110Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4713211Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4713445Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-12-04T08:44:33.4713509Z query, key, value = [ 2025-12-04T08:44:33.4713758Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-12-04T08:44:33.4713860Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-12-04T08:44:33.4713863Z 2025-12-04T08:44:33.4714034Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4714225Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4714289Z return mod(*inputs) 2025-12-04T08:44:33.4714506Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4714574Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4714769Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4714846Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4715049Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4715166Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4715390Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4715490Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4715861Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4715966Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4716193Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:44:33.4716326Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:44:33.4716546Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-12-04T08:44:33.4716700Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-12-04T08:44:33.4716704Z 2025-12-04T08:44:33.4716801Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4716988Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4717058Z return mod(*inputs) 2025-12-04T08:44:33.4717274Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4717343Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4717541Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4717610Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4717822Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4717905Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4718119Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4718225Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4718432Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4718532Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4718769Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:44:33.4718889Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:44:33.4719114Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-12-04T08:44:33.4719257Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-12-04T08:44:33.4719260Z 2025-12-04T08:44:33.4719359Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4719549Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4719610Z return mod(*inputs) 2025-12-04T08:44:33.4719900Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4719971Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4720162Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4720243Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4720451Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4720532Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4720752Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4720896Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4721110Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4721213Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4721445Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:44:33.4721573Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:44:33.4721791Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-12-04T08:44:33.4721961Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-12-04T08:44:33.4721965Z 2025-12-04T08:44:33.4722135Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4722338Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4722417Z return mod(*inputs) 2025-12-04T08:44:33.4722644Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4722716Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4722933Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4723010Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4723237Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4723324Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4723547Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4723655Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4723863Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4723976Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4724209Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-12-04T08:44:33.4724279Z query, key, value = [ 2025-12-04T08:44:33.4724533Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-12-04T08:44:33.4724644Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-12-04T08:44:33.4724647Z 2025-12-04T08:44:33.4724748Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4724947Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4725013Z return mod(*inputs) 2025-12-04T08:44:33.4725243Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4725318Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4725521Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4725603Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4725856Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4725944Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4726173Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4726277Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4726503Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4726608Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4726849Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:44:33.4727014Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:44:33.4727242Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-12-04T08:44:33.4727341Z return torch.matmul(p_attn, value), p_attn 2025-12-04T08:44:33.4727344Z 2025-12-04T08:44:33.4727446Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4727637Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4727709Z return mod(*inputs) 2025-12-04T08:44:33.4727933Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4728005Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4728210Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4728286Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4728511Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4728597Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4728822Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4728932Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4729151Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4729262Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4729501Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:44:33.4729625Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:44:33.4729861Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-12-04T08:44:33.4729951Z return torch.matmul(p_attn, value), p_attn 2025-12-04T08:44:33.4729955Z 2025-12-04T08:44:33.4730054Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4730255Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4730319Z return mod(*inputs) 2025-12-04T08:44:33.4730547Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4730619Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4730817Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4730895Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4731108Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4731198Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4731425Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4731560Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4731785Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4731890Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4732131Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-12-04T08:44:33.4732275Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-12-04T08:44:33.4732279Z 2025-12-04T08:44:33.4732378Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4732577Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4732687Z return mod(*inputs) 2025-12-04T08:44:33.4732898Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4732974Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4733165Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4733236Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4733449Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4733530Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4733744Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4733843Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4734052Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4734162Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4734390Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward 2025-12-04T08:44:33.4734472Z return self.output_linear(x) 2025-12-04T08:44:33.4734475Z 2025-12-04T08:44:33.4734572Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4734755Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4734824Z return mod(*inputs) 2025-12-04T08:44:33.4735036Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4735105Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4735304Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4735374Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4735589Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-12-04T08:44:33.4735673Z x = self.output_sublayer(x, self.feed_forward) 2025-12-04T08:44:33.4735885Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4735994Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4736215Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-12-04T08:44:33.4736322Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-12-04T08:44:33.4736333Z 2025-12-04T08:44:33.4736429Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4736608Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4736676Z return mod(*inputs) 2025-12-04T08:44:33.4736889Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4736958Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4737186Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4737258Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4737470Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-12-04T08:44:33.4737553Z x = self.output_sublayer(x, self.feed_forward) 2025-12-04T08:44:33.4737764Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4737868Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4738090Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-12-04T08:44:33.4738195Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-12-04T08:44:33.4738232Z 2025-12-04T08:44:33.4738338Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4738519Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4738590Z return mod(*inputs) 2025-12-04T08:44:33.4738801Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4738868Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4739065Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4739135Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4739341Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-12-04T08:44:33.4739430Z x = self.output_sublayer(x, self.feed_forward) 2025-12-04T08:44:33.4739641Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4739749Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4739971Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-12-04T08:44:33.4740076Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-12-04T08:44:33.4740080Z 2025-12-04T08:44:33.4740183Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4740367Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4740437Z return mod(*inputs) 2025-12-04T08:44:33.4740652Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4740720Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4740917Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4740988Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4741196Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-12-04T08:44:33.4741288Z x = self.output_sublayer(x, self.feed_forward) 2025-12-04T08:44:33.4741501Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4741608Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4741611Z 2025-12-04T08:44:33.4741707Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4741889Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4741958Z return mod(*inputs) 2025-12-04T08:44:33.4742170Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4742243Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4742435Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4742506Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4742758Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4742842Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4743051Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4743155Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4743361Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4743468Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4743693Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-12-04T08:44:33.4743789Z query, key, value = [ 2025-12-04T08:44:33.4744036Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-12-04T08:44:33.4744140Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-12-04T08:44:33.4744143Z 2025-12-04T08:44:33.4744241Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4744431Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4744492Z return mod(*inputs) 2025-12-04T08:44:33.4744710Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4744777Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4744968Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4745048Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4745258Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4745349Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4745564Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4745663Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4745875Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4745976Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4746206Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-12-04T08:44:33.4746277Z query, key, value = [ 2025-12-04T08:44:33.4746513Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-12-04T08:44:33.4746625Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-12-04T08:44:33.4746628Z 2025-12-04T08:44:33.4746725Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4746909Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4746980Z return mod(*inputs) 2025-12-04T08:44:33.4747191Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4747260Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4747458Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4747528Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4747745Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4747828Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4748043Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4748151Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4748389Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4748500Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4748727Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:44:33.4748848Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:44:33.4749074Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-12-04T08:44:33.4749215Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-12-04T08:44:33.4749218Z 2025-12-04T08:44:33.4749313Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4749531Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4749594Z return mod(*inputs) 2025-12-04T08:44:33.4749816Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4749885Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4750071Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4750148Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4750356Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4750444Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4750653Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4750755Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4750966Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4751066Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4751302Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:44:33.4751429Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:44:33.4751646Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-12-04T08:44:33.4751792Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-12-04T08:44:33.4751795Z 2025-12-04T08:44:33.4751891Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4752070Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4752142Z return mod(*inputs) 2025-12-04T08:44:33.4752352Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4752428Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4752619Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4752689Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4752901Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4752984Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4753194Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4753301Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4753506Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4753615Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4753842Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:44:33.4753992Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:44:33.4754218Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-12-04T08:44:33.4754356Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-12-04T08:44:33.4754359Z 2025-12-04T08:44:33.4754466Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4754649Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4754712Z return mod(*inputs) 2025-12-04T08:44:33.4754932Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4755032Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4755225Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4755307Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4755512Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4755601Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4755812Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4755912Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4756124Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4756224Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4756451Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-12-04T08:44:33.4756524Z query, key, value = [ 2025-12-04T08:44:33.4756764Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-12-04T08:44:33.4756873Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-12-04T08:44:33.4756876Z 2025-12-04T08:44:33.4756973Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4757156Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4757225Z return mod(*inputs) 2025-12-04T08:44:33.4757438Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4757513Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4757702Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4757774Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4757988Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4758071Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4758284Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4758389Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4758594Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4758701Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4758929Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:44:33.4759047Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:44:33.4759300Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-12-04T08:44:33.4759386Z return torch.matmul(p_attn, value), p_attn 2025-12-04T08:44:33.4759390Z 2025-12-04T08:44:33.4759528Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4759714Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4759777Z return mod(*inputs) 2025-12-04T08:44:33.4760001Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4760070Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4760269Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4760348Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4760560Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4760697Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4760913Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4761016Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4761238Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4761343Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4761578Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:44:33.4761706Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:44:33.4761931Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-12-04T08:44:33.4762086Z return torch.matmul(p_attn, value), p_attn 2025-12-04T08:44:33.4762095Z 2025-12-04T08:44:33.4762203Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4762396Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4762477Z return mod(*inputs) 2025-12-04T08:44:33.4762694Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4762775Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4762969Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4763042Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4763262Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4763348Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4763562Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4763675Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4763900Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4764018Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4764259Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-12-04T08:44:33.4764399Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-12-04T08:44:33.4764403Z 2025-12-04T08:44:33.4764525Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4764712Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4764786Z return mod(*inputs) 2025-12-04T08:44:33.4765003Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4765075Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4765280Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4765351Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4765597Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4765691Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4765908Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4766016Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4766264Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4766368Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4766611Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward 2025-12-04T08:44:33.4766719Z return self.output_linear(x) 2025-12-04T08:44:33.4766722Z 2025-12-04T08:44:33.4766821Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4767016Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4767079Z return mod(*inputs) 2025-12-04T08:44:33.4767306Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4767379Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4767610Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4767692Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4767904Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-12-04T08:44:33.4767992Z x = self.output_sublayer(x, self.feed_forward) 2025-12-04T08:44:33.4768218Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4768319Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4768555Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-12-04T08:44:33.4768665Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-12-04T08:44:33.4768669Z 2025-12-04T08:44:33.4768767Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4768962Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4769025Z return mod(*inputs) 2025-12-04T08:44:33.4769250Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4769320Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4769517Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4769598Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4769813Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-12-04T08:44:33.4769897Z x = self.output_sublayer(x, self.feed_forward) 2025-12-04T08:44:33.4770122Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4770220Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4770456Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-12-04T08:44:33.4770564Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-12-04T08:44:33.4770567Z 2025-12-04T08:44:33.4770665Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4770861Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4770924Z return mod(*inputs) 2025-12-04T08:44:33.4771183Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4771253Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4771447Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4771523Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4771734Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-12-04T08:44:33.4771816Z x = self.output_sublayer(x, self.feed_forward) 2025-12-04T08:44:33.4772041Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4772139Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4772405Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-12-04T08:44:33.4772514Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-12-04T08:44:33.4772518Z 2025-12-04T08:44:33.4772620Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4772815Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4772880Z return mod(*inputs) 2025-12-04T08:44:33.4773095Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4773172Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4773366Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4773443Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4773656Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4773742Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4773967Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4774069Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4774288Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4774392Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4774626Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-12-04T08:44:33.4774699Z query, key, value = [ 2025-12-04T08:44:33.4774944Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-12-04T08:44:33.4775049Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-12-04T08:44:33.4775061Z 2025-12-04T08:44:33.4775160Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4775345Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4775419Z return mod(*inputs) 2025-12-04T08:44:33.4775636Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4775705Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4775909Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4775982Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4776196Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4776288Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4776504Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4776617Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4776831Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4776969Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4777224Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-12-04T08:44:33.4777291Z query, key, value = [ 2025-12-04T08:44:33.4777537Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-12-04T08:44:33.4777639Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-12-04T08:44:33.4777642Z 2025-12-04T08:44:33.4777738Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4777929Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4778035Z return mod(*inputs) 2025-12-04T08:44:33.4778248Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4778328Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4778521Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4778598Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4778804Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4778889Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4779111Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4779209Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4779419Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4779522Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4779748Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:44:33.4779878Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:44:33.4780095Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-12-04T08:44:33.4780238Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-12-04T08:44:33.4780250Z 2025-12-04T08:44:33.4780346Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4780528Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4780598Z return mod(*inputs) 2025-12-04T08:44:33.4780809Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4780879Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4781079Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4781151Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4781359Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4781450Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4781663Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4781770Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4781976Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4782076Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4782314Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:44:33.4782434Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:44:33.4782689Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-12-04T08:44:33.4782831Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-12-04T08:44:33.4782834Z 2025-12-04T08:44:33.4782932Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4783122Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4783183Z return mod(*inputs) 2025-12-04T08:44:33.4783402Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4783470Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4783707Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4783785Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4783991Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4784073Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4784293Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4784392Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4784602Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4784703Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4784930Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:44:33.4785058Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:44:33.4785272Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-12-04T08:44:33.4785415Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-12-04T08:44:33.4785424Z 2025-12-04T08:44:33.4785521Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4785702Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4785770Z return mod(*inputs) 2025-12-04T08:44:33.4785981Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4786049Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4786247Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4786317Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4786531Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4786613Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4786826Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4786932Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4787136Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4787235Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4787470Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-12-04T08:44:33.4787534Z query, key, value = [ 2025-12-04T08:44:33.4787777Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-12-04T08:44:33.4787882Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-12-04T08:44:33.4787885Z 2025-12-04T08:44:33.4787981Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4788199Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4788263Z return mod(*inputs) 2025-12-04T08:44:33.4788482Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4788550Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4788740Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4788818Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4789024Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4789105Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4789355Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4789454Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4789670Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4789770Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4789999Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:44:33.4790125Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:44:33.4790344Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-12-04T08:44:33.4790428Z return torch.matmul(p_attn, value), p_attn 2025-12-04T08:44:33.4790439Z 2025-12-04T08:44:33.4790535Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4790721Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4790790Z return mod(*inputs) 2025-12-04T08:44:33.4791006Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4791077Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4791279Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4791353Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4791572Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4791658Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4791876Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4791987Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4792201Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4792316Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4792555Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:44:33.4792674Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:44:33.4792897Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-12-04T08:44:33.4792979Z return torch.matmul(p_attn, value), p_attn 2025-12-04T08:44:33.4792982Z 2025-12-04T08:44:33.4793080Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4793268Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4793329Z return mod(*inputs) 2025-12-04T08:44:33.4793553Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4793623Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4793847Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4793928Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4794137Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4794220Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4794444Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4794545Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4794764Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4794901Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4795134Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-12-04T08:44:33.4795276Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-12-04T08:44:33.4795280Z 2025-12-04T08:44:33.4795379Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4795575Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4795638Z return mod(*inputs) 2025-12-04T08:44:33.4795855Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4795933Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4796127Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4796199Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4796419Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:44:33.4796505Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:44:33.4796730Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4796832Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4797042Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:44:33.4797150Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:44:33.4797383Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward 2025-12-04T08:44:33.4797459Z return self.output_linear(x) 2025-12-04T08:44:33.4797462Z 2025-12-04T08:44:33.4797569Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4797756Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4797826Z return mod(*inputs) 2025-12-04T08:44:33.4798044Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4798114Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4798315Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4798386Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4798597Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-12-04T08:44:33.4798688Z x = self.output_sublayer(x, self.feed_forward) 2025-12-04T08:44:33.4798905Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4799013Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4799241Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-12-04T08:44:33.4799351Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-12-04T08:44:33.4799354Z 2025-12-04T08:44:33.4799491Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4799678Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4799748Z return mod(*inputs) 2025-12-04T08:44:33.4799964Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4800033Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4800235Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4800306Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4800516Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-12-04T08:44:33.4800639Z x = self.output_sublayer(x, self.feed_forward) 2025-12-04T08:44:33.4800855Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4800965Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4801191Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-12-04T08:44:33.4801302Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-12-04T08:44:33.4801305Z 2025-12-04T08:44:33.4801410Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4801594Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4801666Z return mod(*inputs) 2025-12-04T08:44:33.4801883Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4801954Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4802233Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4802313Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4802541Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-12-04T08:44:33.4802642Z x = self.output_sublayer(x, self.feed_forward) 2025-12-04T08:44:33.4802869Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4802983Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4803225Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-12-04T08:44:33.4803341Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-12-04T08:44:33.4803345Z 2025-12-04T08:44:33.4803472Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4803657Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4803722Z return mod(*inputs) 2025-12-04T08:44:33.4803952Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:44:33.4804023Z x = self.bert(x, segment_label) 2025-12-04T08:44:33.4804231Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:44:33.4804302Z x = transformer.forward(x, mask) 2025-12-04T08:44:33.4804513Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-12-04T08:44:33.4804609Z x = self.output_sublayer(x, self.feed_forward) 2025-12-04T08:44:33.4804826Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:44:33.4804939Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:44:33.4804942Z 2025-12-04T08:44:33.4805043Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4805281Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4805352Z return mod(*inputs) 2025-12-04T08:44:33.4805569Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 25, in forward 2025-12-04T08:44:33.4805660Z return self.next_sentence(x), self.mask_lm(x) 2025-12-04T08:44:33.4805883Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 42, in forward 2025-12-04T08:44:33.4805967Z return self.softmax(self.linear(x[:, 0])) 2025-12-04T08:44:33.4805971Z 2025-12-04T08:44:33.4806077Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:44:33.4806263Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:44:33.4806357Z return mod(*inputs) 2025-12-04T08:44:33.4806582Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 25, in forward 2025-12-04T08:44:33.4806671Z return self.next_sentence(x), self.mask_lm(x) 2025-12-04T08:44:33.4806901Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 61, in forward 2025-12-04T08:44:33.4806988Z return self.softmax(self.linear(x)) 2025-12-04T08:44:33.4806991Z 2025-12-04T08:44:51.0116201Z Compilation time (from dynamo_timed): 24.268841529 2025-12-04T08:44:51.0155512Z pass 2025-12-04T08:44:51.0155970Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T08:44:51.0156959Z TIMING: _recursive_pre_grad_passes:0.0073 _recursive_joint_graph_passes:0.6342 _recursive_post_grad_passes:0.1229 async_compile.wait:1.36267 code_gen:17.42204 inductor_compile:18.80748 backend_compile:21.85463 gc:0.0002 entire_frame_compile:24.26884 total_wall_time:24.26884 2025-12-04T08:44:51.0159926Z STATS: call_* op count: 543 | FakeTensor.__torch_dispatch__:5252 | FakeTensorMode.__torch_dispatch__:9689 | ProxyTorchDispatchMode.__torch_dispatch__:2752 2025-12-04T08:44:51.0160419Z Dynamo produced 1 graphs covering 543 ops with 0 graph breaks (0 unique) 2025-12-04T08:44:52.4500369Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-12-04T08:44:52.4501555Z import pynvml # type: ignore[import] 2025-12-04T08:44:54.2988965Z 2025-12-04T08:44:57.6407628Z loading model: 0it [00:00, ?it/s] 2025-12-04T08:44:57.6408030Z loading model: 0it [00:03, ?it/s] 2025-12-04T08:44:57.6423495Z cpu eval Background_Matting 2025-12-04T08:44:57.6633653Z Compilation time (from dynamo_timed): 0 2025-12-04T08:44:58.6556008Z pass_due_to_skip 2025-12-04T08:44:58.6556520Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T08:44:58.6556982Z TIMING: total_wall_time:0 2025-12-04T08:44:58.6557223Z STATS: call_* op count: 0 2025-12-04T08:44:58.6557609Z Dynamo produced 0 graphs covering 0 ops with 0 graph breaks (0 unique) 2025-12-04T08:44:58.6558807Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-12-04T08:44:58.6559887Z import pynvml # type: ignore[import] 2025-12-04T08:45:00.5501628Z 2025-12-04T08:45:02.0533837Z loading model: 0it [00:00, ?it/s] 2025-12-04T08:45:02.0534224Z loading model: 0it [00:01, ?it/s] 2025-12-04T08:45:02.0539781Z cpu eval LearningToPaint 2025-12-04T08:45:02.1301052Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T08:45:02.1652382Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T08:45:02.1975875Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T08:45:05.6338311Z cudagraph partition due to non gpu ops 2025-12-04T08:45:05.6338743Z cudagraph partition due to non gpu ops 2025-12-04T08:45:05.6339110Z cudagraph partition due to non gpu ops 2025-12-04T08:45:05.6339406Z cudagraph partition due to non gpu ops 2025-12-04T08:45:05.6339710Z cudagraph partition due to non gpu ops 2025-12-04T08:45:05.6340022Z cudagraph partition due to non gpu ops 2025-12-04T08:45:05.6340317Z cudagraph partition due to non gpu ops 2025-12-04T08:45:05.6340626Z cudagraph partition due to non gpu ops 2025-12-04T08:45:05.6340940Z cudagraph partition due to non gpu ops 2025-12-04T08:45:05.6341802Z cudagraph partition due to non gpu ops 2025-12-04T08:45:05.6342122Z cudagraph partition due to non gpu ops 2025-12-04T08:45:05.6342424Z cudagraph partition due to non gpu ops 2025-12-04T08:45:05.6342720Z cudagraph partition due to non gpu ops 2025-12-04T08:45:05.6343044Z cudagraph partition due to non gpu ops 2025-12-04T08:45:05.6343355Z cudagraph partition due to non gpu ops 2025-12-04T08:45:05.6343661Z cudagraph partition due to non gpu ops 2025-12-04T08:45:05.6343960Z cudagraph partition due to non gpu ops 2025-12-04T08:45:05.6344267Z cudagraph partition due to non gpu ops 2025-12-04T08:45:05.6344628Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:05.6345230Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:05.6345754Z return mod(*inputs) 2025-12-04T08:45:05.6346284Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 128, in forward 2025-12-04T08:45:05.6346845Z x = F.relu(self.bn1(self.conv1(x))) 2025-12-04T08:45:05.6347073Z 2025-12-04T08:45:05.6347234Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:05.6347806Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:05.6348355Z return mod(*inputs) 2025-12-04T08:45:05.6348884Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 128, in forward 2025-12-04T08:45:05.6349482Z x = F.relu(self.bn1(self.conv1(x))) 2025-12-04T08:45:05.6349699Z 2025-12-04T08:45:05.6349879Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:05.6350495Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:05.6351025Z return mod(*inputs) 2025-12-04T08:45:05.6351550Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward 2025-12-04T08:45:05.6352111Z x = self.layer1(x) 2025-12-04T08:45:05.6352608Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-12-04T08:45:05.6353188Z out = F.relu(self.bn1(self.conv1(x))) 2025-12-04T08:45:05.6353408Z 2025-12-04T08:45:05.6353586Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:05.6354193Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:05.6354716Z return mod(*inputs) 2025-12-04T08:45:05.6355247Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward 2025-12-04T08:45:05.6355822Z x = self.layer1(x) 2025-12-04T08:45:05.6356342Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-12-04T08:45:05.6356935Z out = F.relu(self.bn1(self.conv1(x))) 2025-12-04T08:45:05.6357155Z 2025-12-04T08:45:05.6357330Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:05.6357931Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:05.6358462Z return mod(*inputs) 2025-12-04T08:45:05.6358993Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward 2025-12-04T08:45:05.6359558Z x = self.layer1(x) 2025-12-04T08:45:05.6360269Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward 2025-12-04T08:45:05.6360841Z out = self.bn2(self.conv2(out)) 2025-12-04T08:45:05.6361041Z 2025-12-04T08:45:05.6361210Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:05.6361789Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:05.6362468Z return mod(*inputs) 2025-12-04T08:45:05.6363007Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward 2025-12-04T08:45:05.6363584Z x = self.layer1(x) 2025-12-04T08:45:05.6364099Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 56, in forward 2025-12-04T08:45:05.6364774Z out += self.shortcut(x) 2025-12-04T08:45:05.6364955Z 2025-12-04T08:45:05.6365129Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:05.6365739Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:05.6366273Z return mod(*inputs) 2025-12-04T08:45:05.6366880Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward 2025-12-04T08:45:05.6367433Z x = self.layer1(x) 2025-12-04T08:45:05.6367937Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-12-04T08:45:05.6368535Z out = F.relu(self.bn1(self.conv1(x))) 2025-12-04T08:45:05.6368758Z 2025-12-04T08:45:05.6368922Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:05.6369530Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:05.6370072Z return mod(*inputs) 2025-12-04T08:45:05.6370605Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward 2025-12-04T08:45:05.6371171Z x = self.layer1(x) 2025-12-04T08:45:05.6371697Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-12-04T08:45:05.6372289Z out = F.relu(self.bn1(self.conv1(x))) 2025-12-04T08:45:05.6372510Z 2025-12-04T08:45:05.6372671Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:05.6373266Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:05.6373798Z return mod(*inputs) 2025-12-04T08:45:05.6374328Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward 2025-12-04T08:45:05.6374893Z x = self.layer1(x) 2025-12-04T08:45:05.6375410Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward 2025-12-04T08:45:05.6375998Z out = self.bn2(self.conv2(out)) 2025-12-04T08:45:05.6376206Z 2025-12-04T08:45:05.6376372Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:05.6376993Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:05.6377537Z return mod(*inputs) 2025-12-04T08:45:05.6378077Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward 2025-12-04T08:45:05.6378639Z x = self.layer1(x) 2025-12-04T08:45:05.6379157Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 57, in forward 2025-12-04T08:45:05.6379715Z out = F.relu(out) 2025-12-04T08:45:05.6379871Z 2025-12-04T08:45:05.6380033Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:05.6380637Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:05.6381180Z return mod(*inputs) 2025-12-04T08:45:05.6381721Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward 2025-12-04T08:45:05.6382290Z x = self.layer2(x) 2025-12-04T08:45:05.6382943Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-12-04T08:45:05.6383537Z out = F.relu(self.bn1(self.conv1(x))) 2025-12-04T08:45:05.6383751Z 2025-12-04T08:45:05.6383909Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:05.6384502Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:05.6385025Z return mod(*inputs) 2025-12-04T08:45:05.6385542Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward 2025-12-04T08:45:05.6386094Z x = self.layer2(x) 2025-12-04T08:45:05.6386642Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-12-04T08:45:05.6387316Z out = F.relu(self.bn1(self.conv1(x))) 2025-12-04T08:45:05.6387525Z 2025-12-04T08:45:05.6387683Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:05.6388263Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:05.6388779Z return mod(*inputs) 2025-12-04T08:45:05.6389293Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward 2025-12-04T08:45:05.6389836Z x = self.layer2(x) 2025-12-04T08:45:05.6390353Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward 2025-12-04T08:45:05.6390930Z out = self.bn2(self.conv2(out)) 2025-12-04T08:45:05.6391144Z 2025-12-04T08:45:05.6391305Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:05.6391895Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:05.6392423Z return mod(*inputs) 2025-12-04T08:45:05.6392952Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward 2025-12-04T08:45:05.6393504Z x = self.layer2(x) 2025-12-04T08:45:05.6394025Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 56, in forward 2025-12-04T08:45:05.6394635Z out += self.shortcut(x) 2025-12-04T08:45:05.6394819Z 2025-12-04T08:45:05.6394993Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:05.6395594Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:05.6396121Z return mod(*inputs) 2025-12-04T08:45:05.6396647Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward 2025-12-04T08:45:05.6397214Z x = self.layer2(x) 2025-12-04T08:45:05.6397725Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-12-04T08:45:05.6398310Z out = F.relu(self.bn1(self.conv1(x))) 2025-12-04T08:45:05.6398539Z 2025-12-04T08:45:05.6398712Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:05.6399307Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:05.6399837Z return mod(*inputs) 2025-12-04T08:45:05.6400360Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward 2025-12-04T08:45:05.6400922Z x = self.layer2(x) 2025-12-04T08:45:05.6401432Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-12-04T08:45:05.6402013Z out = F.relu(self.bn1(self.conv1(x))) 2025-12-04T08:45:05.6402355Z 2025-12-04T08:45:05.6402543Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:05.6403163Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:05.6403701Z return mod(*inputs) 2025-12-04T08:45:05.6404233Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward 2025-12-04T08:45:05.6404786Z x = self.layer2(x) 2025-12-04T08:45:05.6405301Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward 2025-12-04T08:45:05.6406047Z out = self.bn2(self.conv2(out)) 2025-12-04T08:45:05.6406270Z 2025-12-04T08:45:05.6406441Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:05.6407061Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:05.6407608Z return mod(*inputs) 2025-12-04T08:45:05.6408160Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward 2025-12-04T08:45:05.6408759Z x = self.layer2(x) 2025-12-04T08:45:05.6409295Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 57, in forward 2025-12-04T08:45:05.6409886Z out = F.relu(out) 2025-12-04T08:45:05.6410135Z 2025-12-04T08:45:05.6410318Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:05.6410950Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:05.6411515Z return mod(*inputs) 2025-12-04T08:45:05.6412084Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward 2025-12-04T08:45:05.6412693Z x = self.layer3(x) 2025-12-04T08:45:05.6413226Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-12-04T08:45:05.6413851Z out = F.relu(self.bn1(self.conv1(x))) 2025-12-04T08:45:05.6414087Z 2025-12-04T08:45:05.6414257Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:05.6414846Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:05.6415365Z return mod(*inputs) 2025-12-04T08:45:05.6416127Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward 2025-12-04T08:45:05.6416708Z x = self.layer3(x) 2025-12-04T08:45:05.6417217Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-12-04T08:45:05.6417801Z out = F.relu(self.bn1(self.conv1(x))) 2025-12-04T08:45:05.6418023Z 2025-12-04T08:45:05.6418193Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:05.6418780Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:05.6419295Z return mod(*inputs) 2025-12-04T08:45:05.6419814Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward 2025-12-04T08:45:05.6420376Z x = self.layer3(x) 2025-12-04T08:45:05.6420882Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward 2025-12-04T08:45:05.6421454Z out = self.bn2(self.conv2(out)) 2025-12-04T08:45:05.6421658Z 2025-12-04T08:45:05.6421834Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:05.6422424Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:05.6422945Z return mod(*inputs) 2025-12-04T08:45:05.6423475Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward 2025-12-04T08:45:05.6424036Z x = self.layer3(x) 2025-12-04T08:45:05.6424547Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 56, in forward 2025-12-04T08:45:05.6425104Z out += self.shortcut(x) 2025-12-04T08:45:05.6425282Z 2025-12-04T08:45:05.6425453Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:05.6426043Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:05.6426564Z return mod(*inputs) 2025-12-04T08:45:05.6427087Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward 2025-12-04T08:45:05.6427659Z x = self.layer3(x) 2025-12-04T08:45:05.6428161Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-12-04T08:45:05.6428750Z out = F.relu(self.bn1(self.conv1(x))) 2025-12-04T08:45:05.6429179Z 2025-12-04T08:45:05.6429355Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:05.6429950Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:05.6430474Z return mod(*inputs) 2025-12-04T08:45:05.6430989Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward 2025-12-04T08:45:05.6431565Z x = self.layer3(x) 2025-12-04T08:45:05.6432073Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-12-04T08:45:05.6432661Z out = F.relu(self.bn1(self.conv1(x))) 2025-12-04T08:45:05.6432880Z 2025-12-04T08:45:05.6433048Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:05.6433749Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:05.6434268Z return mod(*inputs) 2025-12-04T08:45:05.6434805Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward 2025-12-04T08:45:05.6435378Z x = self.layer3(x) 2025-12-04T08:45:05.6435897Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward 2025-12-04T08:45:05.6436485Z out = self.bn2(self.conv2(out)) 2025-12-04T08:45:05.6436696Z 2025-12-04T08:45:05.6436868Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:05.6437461Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:05.6437987Z return mod(*inputs) 2025-12-04T08:45:05.6438507Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward 2025-12-04T08:45:05.6439084Z x = self.layer3(x) 2025-12-04T08:45:05.6439591Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 57, in forward 2025-12-04T08:45:05.6440143Z out = F.relu(out) 2025-12-04T08:45:05.6440296Z 2025-12-04T08:45:05.6440473Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:05.6441055Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:05.6441574Z return mod(*inputs) 2025-12-04T08:45:05.6442218Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward 2025-12-04T08:45:05.6442815Z x = self.layer4(x) 2025-12-04T08:45:05.6443334Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-12-04T08:45:05.6443939Z out = F.relu(self.bn1(self.conv1(x))) 2025-12-04T08:45:05.6444155Z 2025-12-04T08:45:05.6444323Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:05.6444927Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:05.6445467Z return mod(*inputs) 2025-12-04T08:45:05.6446007Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward 2025-12-04T08:45:05.6446584Z x = self.layer4(x) 2025-12-04T08:45:05.6447104Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-12-04T08:45:05.6447704Z out = F.relu(self.bn1(self.conv1(x))) 2025-12-04T08:45:05.6447923Z 2025-12-04T08:45:05.6448098Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:05.6448700Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:05.6449229Z return mod(*inputs) 2025-12-04T08:45:05.6449770Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward 2025-12-04T08:45:05.6450360Z x = self.layer4(x) 2025-12-04T08:45:05.6450882Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward 2025-12-04T08:45:05.6451480Z out = self.bn2(self.conv2(out)) 2025-12-04T08:45:05.6451693Z 2025-12-04T08:45:05.6451965Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:05.6452572Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:05.6453097Z return mod(*inputs) 2025-12-04T08:45:05.6453634Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward 2025-12-04T08:45:05.6454206Z x = self.layer4(x) 2025-12-04T08:45:05.6454736Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 56, in forward 2025-12-04T08:45:05.6455314Z out += self.shortcut(x) 2025-12-04T08:45:05.6455499Z 2025-12-04T08:45:05.6455674Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:05.6456362Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:05.6456903Z return mod(*inputs) 2025-12-04T08:45:05.6457430Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward 2025-12-04T08:45:05.6457995Z x = self.layer4(x) 2025-12-04T08:45:05.6458505Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-12-04T08:45:05.6459096Z out = F.relu(self.bn1(self.conv1(x))) 2025-12-04T08:45:05.6459318Z 2025-12-04T08:45:05.6459492Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:05.6460090Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:05.6460611Z return mod(*inputs) 2025-12-04T08:45:05.6461145Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward 2025-12-04T08:45:05.6461709Z x = self.layer4(x) 2025-12-04T08:45:05.6462233Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-12-04T08:45:05.6462815Z out = F.relu(self.bn1(self.conv1(x))) 2025-12-04T08:45:05.6463040Z 2025-12-04T08:45:05.6463201Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:05.6463787Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:05.6464310Z return mod(*inputs) 2025-12-04T08:45:05.6464833Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward 2025-12-04T08:45:05.6465393Z x = self.layer4(x) 2025-12-04T08:45:05.6465898Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward 2025-12-04T08:45:05.6466466Z out = self.bn2(self.conv2(out)) 2025-12-04T08:45:05.6466683Z 2025-12-04T08:45:05.6466850Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:05.6467437Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:05.6467958Z return mod(*inputs) 2025-12-04T08:45:05.6468486Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward 2025-12-04T08:45:05.6469050Z x = self.layer4(x) 2025-12-04T08:45:05.6469565Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 57, in forward 2025-12-04T08:45:05.6470116Z out = F.relu(out) 2025-12-04T08:45:05.6470269Z 2025-12-04T08:45:05.6470439Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:05.6471032Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:05.6471557Z return mod(*inputs) 2025-12-04T08:45:05.6472077Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 133, in forward 2025-12-04T08:45:05.6472668Z x = F.avg_pool2d(x, 4) 2025-12-04T08:45:05.6472831Z 2025-12-04T08:45:05.6472994Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:05.6473579Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:05.6474099Z return mod(*inputs) 2025-12-04T08:45:05.6474725Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 135, in forward 2025-12-04T08:45:05.6475282Z x = self.fc(x) 2025-12-04T08:45:05.6475437Z 2025-12-04T08:45:05.6475604Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:05.6476187Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:05.6476705Z return mod(*inputs) 2025-12-04T08:45:05.6477227Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 136, in forward 2025-12-04T08:45:05.6477802Z x = torch.sigmoid(x) 2025-12-04T08:45:05.6477973Z 2025-12-04T08:45:14.8292260Z Compilation time (from dynamo_timed): 12.152777677 2025-12-04T08:45:14.8294995Z pass 2025-12-04T08:45:14.8295292Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T08:45:14.8296070Z TIMING: _recursive_pre_grad_passes:0.00428 _recursive_joint_graph_passes:0.35163 _recursive_post_grad_passes:0.03515 async_compile.wait:1.21324 code_gen:8.99612 inductor_compile:9.53402 backend_compile:11.09883 gc:0.00052 entire_frame_compile:12.15278 total_wall_time:12.15278 2025-12-04T08:45:14.8296949Z STATS: call_* op count: 71 | FakeTensorMode.__torch_dispatch__:2829 | FakeTensor.__torch_dispatch__:2118 | ProxyTorchDispatchMode.__torch_dispatch__:1128 2025-12-04T08:45:14.8297420Z Dynamo produced 1 graphs covering 71 ops with 0 graph breaks (0 unique) 2025-12-04T08:45:16.3058750Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-12-04T08:45:16.3059541Z import pynvml # type: ignore[import] 2025-12-04T08:45:18.1909909Z 2025-12-04T08:45:18.9435156Z 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 2025-12-04T08:45:18.9784587Z 2025-12-04T08:45:18.9784922Z 2025-12-04T08:45:19.0785455Z 0% 0.00/528M [00:00 2025-12-04T08:50:47.2111383Z images = [(x - self.pixel_mean) / self.pixel_std for x in images] 2025-12-04T08:50:47.2111678Z 2025-12-04T08:50:47.2116680Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:50:47.2118634Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 228, in preprocess_image 2025-12-04T08:50:47.2122717Z images = [(x - self.pixel_mean) / self.pixel_std for x in images] 2025-12-04T08:50:47.2123245Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 228, in 2025-12-04T08:50:47.2123679Z images = [(x - self.pixel_mean) / self.pixel_std for x in images] 2025-12-04T08:50:47.2123867Z 2025-12-04T08:50:47.2123988Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:50:47.2124415Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 228, in preprocess_image 2025-12-04T08:50:47.2134829Z images = [(x - self.pixel_mean) / self.pixel_std for x in images] 2025-12-04T08:50:47.2135526Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 228, in 2025-12-04T08:50:47.2135972Z images = [(x - self.pixel_mean) / self.pixel_std for x in images] 2025-12-04T08:50:47.2136150Z 2025-12-04T08:50:47.2136266Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:50:47.2136702Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 228, in preprocess_image 2025-12-04T08:50:47.2137144Z images = [(x - self.pixel_mean) / self.pixel_std for x in images] 2025-12-04T08:50:47.2137777Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 228, in 2025-12-04T08:50:47.2138192Z images = [(x - self.pixel_mean) / self.pixel_std for x in images] 2025-12-04T08:50:47.2138374Z 2025-12-04T08:50:54.9896479Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:50:54.9897647Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in from_tensors 2025-12-04T08:50:54.9898084Z image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes] 2025-12-04T08:50:54.9898507Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in 2025-12-04T08:50:54.9898912Z image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes] 2025-12-04T08:50:54.9899315Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 39, in shapes_to_tensor 2025-12-04T08:50:54.9899710Z return torch.as_tensor(x, device=device) 2025-12-04T08:50:54.9899853Z 2025-12-04T08:50:54.9899966Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:50:54.9900360Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in from_tensors 2025-12-04T08:50:54.9900770Z image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes] 2025-12-04T08:50:54.9901164Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in 2025-12-04T08:50:54.9901556Z image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes] 2025-12-04T08:50:54.9901939Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 39, in shapes_to_tensor 2025-12-04T08:50:54.9902301Z return torch.as_tensor(x, device=device) 2025-12-04T08:50:54.9902430Z 2025-12-04T08:50:54.9902538Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:50:54.9902922Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in from_tensors 2025-12-04T08:50:54.9903335Z image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes] 2025-12-04T08:50:54.9903726Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in 2025-12-04T08:50:54.9904118Z image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes] 2025-12-04T08:50:54.9904498Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 39, in shapes_to_tensor 2025-12-04T08:50:54.9904857Z return torch.as_tensor(x, device=device) 2025-12-04T08:50:54.9904993Z 2025-12-04T08:50:54.9905093Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:50:54.9905477Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in from_tensors 2025-12-04T08:50:54.9905869Z image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes] 2025-12-04T08:50:54.9906260Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in 2025-12-04T08:50:54.9906650Z image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes] 2025-12-04T08:50:54.9907382Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 39, in shapes_to_tensor 2025-12-04T08:50:54.9907758Z return torch.as_tensor(x, device=device) 2025-12-04T08:50:54.9907898Z 2025-12-04T08:50:54.9907999Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:50:54.9908392Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 89, in from_tensors 2025-12-04T08:50:54.9908785Z max_size = torch.stack(image_sizes_tensor).max(0).values 2025-12-04T08:50:54.9908952Z 2025-12-04T08:50:54.9909052Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:50:54.9909438Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 89, in from_tensors 2025-12-04T08:50:54.9909925Z max_size = torch.stack(image_sizes_tensor).max(0).values 2025-12-04T08:50:54.9910077Z 2025-12-04T08:50:55.7923645Z cudagraph partition due to non gpu ops 2025-12-04T08:51:09.8729319Z cudagraph partition due to non gpu ops 2025-12-04T08:51:09.8729611Z cudagraph partition due to non gpu ops 2025-12-04T08:51:09.8729814Z cudagraph partition due to non gpu ops 2025-12-04T08:51:09.8730010Z cudagraph partition due to non gpu ops 2025-12-04T08:51:09.8730200Z cudagraph partition due to non gpu ops 2025-12-04T08:51:09.8730395Z cudagraph partition due to non gpu ops 2025-12-04T08:51:09.8730597Z cudagraph partition due to non gpu ops 2025-12-04T08:51:09.8730817Z cudagraph partition due to non gpu ops 2025-12-04T08:51:09.8731060Z cudagraph partition due to non gpu ops 2025-12-04T08:51:09.8731288Z cudagraph partition due to non gpu ops 2025-12-04T08:51:09.8731551Z cudagraph partition due to non gpu ops 2025-12-04T08:51:09.8731835Z cudagraph partition due to non gpu ops 2025-12-04T08:51:09.8732073Z cudagraph partition due to non gpu ops 2025-12-04T08:51:09.8732319Z cudagraph partition due to non gpu ops 2025-12-04T08:51:09.8732537Z cudagraph partition due to non gpu ops 2025-12-04T08:51:09.8732846Z cudagraph partition due to non gpu ops 2025-12-04T08:51:09.8733129Z cudagraph partition due to non gpu ops 2025-12-04T08:51:09.8733381Z cudagraph partition due to non gpu ops 2025-12-04T08:51:09.8733573Z cudagraph partition due to non gpu ops 2025-12-04T08:51:09.8733840Z cudagraph partition due to non gpu ops 2025-12-04T08:51:09.8734114Z cudagraph partition due to non gpu ops 2025-12-04T08:51:09.8734383Z cudagraph partition due to non gpu ops 2025-12-04T08:51:09.8734648Z cudagraph partition due to non gpu ops 2025-12-04T08:51:09.8734929Z cudagraph partition due to non gpu ops 2025-12-04T08:51:09.8735136Z cudagraph partition due to non gpu ops 2025-12-04T08:51:09.8735364Z cudagraph partition due to non gpu ops 2025-12-04T08:51:09.8735591Z cudagraph partition due to non gpu ops 2025-12-04T08:51:09.8735786Z cudagraph partition due to non gpu ops 2025-12-04T08:51:09.8735971Z cudagraph partition due to non gpu ops 2025-12-04T08:51:09.8736165Z cudagraph partition due to non gpu ops 2025-12-04T08:51:09.8736360Z cudagraph partition due to non gpu ops 2025-12-04T08:51:09.8736546Z cudagraph partition due to non gpu ops 2025-12-04T08:51:09.8736778Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8737365Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8738016Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8738557Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 445, in forward 2025-12-04T08:51:09.8739096Z x = self.stem(x) 2025-12-04T08:51:09.8739526Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 356, in forward 2025-12-04T08:51:09.8739882Z x = self.conv1(x) 2025-12-04T08:51:09.8740186Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.8740843Z x = F.conv2d( 2025-12-04T08:51:09.8740965Z 2025-12-04T08:51:09.8741087Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8741659Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8742293Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8742774Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 445, in forward 2025-12-04T08:51:09.8743211Z x = self.stem(x) 2025-12-04T08:51:09.8743528Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 357, in forward 2025-12-04T08:51:09.8744056Z x = F.relu_(x) 2025-12-04T08:51:09.8744146Z 2025-12-04T08:51:09.8744256Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8744782Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8745209Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8745688Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 445, in forward 2025-12-04T08:51:09.8746092Z x = self.stem(x) 2025-12-04T08:51:09.8746693Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 358, in forward 2025-12-04T08:51:09.8747261Z x = F.max_pool2d(x, kernel_size=3, stride=2, padding=1) 2025-12-04T08:51:09.8747500Z 2025-12-04T08:51:09.8747637Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8748275Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8748829Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8749360Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.8749761Z x = stage(x) 2025-12-04T08:51:09.8750153Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:51:09.8750584Z out = self.conv1(x) 2025-12-04T08:51:09.8751003Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.8751359Z x = F.conv2d( 2025-12-04T08:51:09.8751446Z 2025-12-04T08:51:09.8751545Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8751978Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8752399Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8752758Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.8753095Z x = stage(x) 2025-12-04T08:51:09.8753455Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:51:09.8753874Z out = F.relu_(out) 2025-12-04T08:51:09.8753972Z 2025-12-04T08:51:09.8754069Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8754604Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8755043Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8755577Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.8756081Z x = stage(x) 2025-12-04T08:51:09.8756545Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:51:09.8757067Z out = self.conv2(out) 2025-12-04T08:51:09.8757482Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.8757949Z x = F.conv2d( 2025-12-04T08:51:09.8758075Z 2025-12-04T08:51:09.8758209Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8758882Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8759510Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8760040Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.8760647Z x = stage(x) 2025-12-04T08:51:09.8761116Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:51:09.8761589Z out = F.relu_(out) 2025-12-04T08:51:09.8761737Z 2025-12-04T08:51:09.8761877Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8762666Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8763324Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8763823Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.8764333Z x = stage(x) 2025-12-04T08:51:09.8764819Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:51:09.8765329Z out = self.conv3(out) 2025-12-04T08:51:09.8765807Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.8766321Z x = F.conv2d( 2025-12-04T08:51:09.8766437Z 2025-12-04T08:51:09.8766590Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8767263Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8767914Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8768436Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.8768964Z x = stage(x) 2025-12-04T08:51:09.8769408Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward 2025-12-04T08:51:09.8769916Z shortcut = self.shortcut(x) 2025-12-04T08:51:09.8770410Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.8770857Z x = F.conv2d( 2025-12-04T08:51:09.8770983Z 2025-12-04T08:51:09.8771124Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8771800Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8772435Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8772964Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.8773482Z x = stage(x) 2025-12-04T08:51:09.8773962Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:51:09.8774487Z out = self.conv1(x) 2025-12-04T08:51:09.8774936Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.8775431Z x = F.conv2d( 2025-12-04T08:51:09.8775550Z 2025-12-04T08:51:09.8775698Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8776481Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8777066Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8777592Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.8778081Z x = stage(x) 2025-12-04T08:51:09.8778518Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:51:09.8778977Z out = F.relu_(out) 2025-12-04T08:51:09.8779076Z 2025-12-04T08:51:09.8779182Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8779665Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8780086Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8780446Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.8780786Z x = stage(x) 2025-12-04T08:51:09.8781092Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:51:09.8781442Z out = self.conv2(out) 2025-12-04T08:51:09.8781754Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.8782068Z x = F.conv2d( 2025-12-04T08:51:09.8782161Z 2025-12-04T08:51:09.8782259Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8782697Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8783122Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8783478Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.8783817Z x = stage(x) 2025-12-04T08:51:09.8784131Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:51:09.8784470Z out = F.relu_(out) 2025-12-04T08:51:09.8784566Z 2025-12-04T08:51:09.8784662Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8785097Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8785513Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8785863Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.8786203Z x = stage(x) 2025-12-04T08:51:09.8786512Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:51:09.8786860Z out = self.conv3(out) 2025-12-04T08:51:09.8787165Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.8787485Z x = F.conv2d( 2025-12-04T08:51:09.8787570Z 2025-12-04T08:51:09.8787674Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8788111Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8788519Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8788875Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.8789220Z x = stage(x) 2025-12-04T08:51:09.8789523Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:51:09.8789863Z out = F.relu_(out) 2025-12-04T08:51:09.8789963Z 2025-12-04T08:51:09.8790361Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8790804Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8791229Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8791591Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.8791924Z x = stage(x) 2025-12-04T08:51:09.8792235Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:51:09.8792583Z out = self.conv1(x) 2025-12-04T08:51:09.8793375Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.8793698Z x = F.conv2d( 2025-12-04T08:51:09.8793783Z 2025-12-04T08:51:09.8793891Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8794327Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8794735Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8795094Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.8795431Z x = stage(x) 2025-12-04T08:51:09.8795734Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:51:09.8796072Z out = F.relu_(out) 2025-12-04T08:51:09.8796172Z 2025-12-04T08:51:09.8796269Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8796702Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8797108Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8797462Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.8797797Z x = stage(x) 2025-12-04T08:51:09.8798106Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:51:09.8798443Z out = self.conv2(out) 2025-12-04T08:51:09.8798752Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.8799069Z x = F.conv2d( 2025-12-04T08:51:09.8799154Z 2025-12-04T08:51:09.8799249Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8799688Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8800103Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8800459Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.8800801Z x = stage(x) 2025-12-04T08:51:09.8801121Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:51:09.8801504Z out = F.relu_(out) 2025-12-04T08:51:09.8801602Z 2025-12-04T08:51:09.8801710Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8802234Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8802732Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8803123Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.8803527Z x = stage(x) 2025-12-04T08:51:09.8804161Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:51:09.8817602Z out = self.conv3(out) 2025-12-04T08:51:09.8818203Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.8818692Z x = F.conv2d( 2025-12-04T08:51:09.8818791Z 2025-12-04T08:51:09.8818908Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8819516Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8820154Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8820590Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.8821111Z x = stage(x) 2025-12-04T08:51:09.8821429Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:51:09.8821786Z out = F.relu_(out) 2025-12-04T08:51:09.8821897Z 2025-12-04T08:51:09.8822002Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8822451Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8822869Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8823237Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.8823589Z x = stage(x) 2025-12-04T08:51:09.8823899Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:51:09.8824246Z out = self.conv1(x) 2025-12-04T08:51:09.8824581Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.8825002Z x = F.conv2d( 2025-12-04T08:51:09.8825094Z 2025-12-04T08:51:09.8825194Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8825632Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8826048Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8826399Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.8826735Z x = stage(x) 2025-12-04T08:51:09.8827048Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:51:09.8827388Z out = F.relu_(out) 2025-12-04T08:51:09.8827485Z 2025-12-04T08:51:09.8827580Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8828018Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8828436Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8828796Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.8829126Z x = stage(x) 2025-12-04T08:51:09.8829438Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:51:09.8829786Z out = self.conv2(out) 2025-12-04T08:51:09.8830093Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.8830415Z x = F.conv2d( 2025-12-04T08:51:09.8830513Z 2025-12-04T08:51:09.8830610Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8831093Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8831589Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8831950Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.8832288Z x = stage(x) 2025-12-04T08:51:09.8832593Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:51:09.8832934Z out = F.relu_(out) 2025-12-04T08:51:09.8833038Z 2025-12-04T08:51:09.8833132Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8833566Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8834035Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8834392Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.8834729Z x = stage(x) 2025-12-04T08:51:09.8835040Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:51:09.8835452Z out = self.conv3(out) 2025-12-04T08:51:09.8835860Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.8836185Z x = F.conv2d( 2025-12-04T08:51:09.8836270Z 2025-12-04T08:51:09.8836367Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8836810Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8837226Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8837671Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.8838004Z x = stage(x) 2025-12-04T08:51:09.8838317Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward 2025-12-04T08:51:09.8838667Z shortcut = self.shortcut(x) 2025-12-04T08:51:09.8838983Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.8839301Z x = F.conv2d( 2025-12-04T08:51:09.8839393Z 2025-12-04T08:51:09.8839490Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8839922Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8840327Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8840684Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.8841020Z x = stage(x) 2025-12-04T08:51:09.8841331Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:51:09.8841665Z out = self.conv1(x) 2025-12-04T08:51:09.8841967Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.8842365Z x = F.conv2d( 2025-12-04T08:51:09.8842457Z 2025-12-04T08:51:09.8842557Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8843019Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8843456Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8843835Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.8844172Z x = stage(x) 2025-12-04T08:51:09.8844485Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:51:09.8844918Z out = F.relu_(out) 2025-12-04T08:51:09.8845018Z 2025-12-04T08:51:09.8845125Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8845573Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8846010Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8846382Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.8846731Z x = stage(x) 2025-12-04T08:51:09.8847061Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:51:09.8847464Z out = self.conv2(out) 2025-12-04T08:51:09.8847793Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.8848223Z x = F.conv2d( 2025-12-04T08:51:09.8848320Z 2025-12-04T08:51:09.8848424Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8848887Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8849322Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8849777Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.8850132Z x = stage(x) 2025-12-04T08:51:09.8850459Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:51:09.8850812Z out = F.relu_(out) 2025-12-04T08:51:09.8850922Z 2025-12-04T08:51:09.8851022Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8851475Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8851910Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8852278Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.8852633Z x = stage(x) 2025-12-04T08:51:09.8852996Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:51:09.8853335Z out = self.conv3(out) 2025-12-04T08:51:09.8853645Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.8853963Z x = F.conv2d( 2025-12-04T08:51:09.8854047Z 2025-12-04T08:51:09.8854152Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8854578Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8854996Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8855350Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.8855687Z x = stage(x) 2025-12-04T08:51:09.8855991Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:51:09.8856329Z out = F.relu_(out) 2025-12-04T08:51:09.8856421Z 2025-12-04T08:51:09.8856522Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8856946Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8857364Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8857718Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.8858055Z x = stage(x) 2025-12-04T08:51:09.8858386Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:51:09.8858731Z out = self.conv1(x) 2025-12-04T08:51:09.8859034Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.8859347Z x = F.conv2d( 2025-12-04T08:51:09.8859437Z 2025-12-04T08:51:09.8859533Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8859966Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8860381Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8860767Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.8861109Z x = stage(x) 2025-12-04T08:51:09.8861424Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:51:09.8861768Z out = F.relu_(out) 2025-12-04T08:51:09.8861861Z 2025-12-04T08:51:09.8861956Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8862387Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8862804Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8863156Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.8863497Z x = stage(x) 2025-12-04T08:51:09.8863809Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:51:09.8864157Z out = self.conv2(out) 2025-12-04T08:51:09.8864461Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.8864786Z x = F.conv2d( 2025-12-04T08:51:09.8864871Z 2025-12-04T08:51:09.8864975Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8865406Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8865827Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8866183Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.8866525Z x = stage(x) 2025-12-04T08:51:09.8866829Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:51:09.8867179Z out = F.relu_(out) 2025-12-04T08:51:09.8867273Z 2025-12-04T08:51:09.8867375Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8867812Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8868220Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8868580Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.8868919Z x = stage(x) 2025-12-04T08:51:09.8869223Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:51:09.8869569Z out = self.conv3(out) 2025-12-04T08:51:09.8869879Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.8870203Z x = F.conv2d( 2025-12-04T08:51:09.8870287Z 2025-12-04T08:51:09.8870383Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8870853Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8871268Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8871621Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.8871948Z x = stage(x) 2025-12-04T08:51:09.8872260Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:51:09.8872596Z out = F.relu_(out) 2025-12-04T08:51:09.8872687Z 2025-12-04T08:51:09.8872782Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8873211Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8873658Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8874014Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.8874346Z x = stage(x) 2025-12-04T08:51:09.8874654Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:51:09.8874991Z out = self.conv1(x) 2025-12-04T08:51:09.8875286Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.8875604Z x = F.conv2d( 2025-12-04T08:51:09.8875694Z 2025-12-04T08:51:09.8875789Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8876218Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8876627Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8876980Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.8877318Z x = stage(x) 2025-12-04T08:51:09.8877629Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:51:09.8877970Z out = F.relu_(out) 2025-12-04T08:51:09.8878061Z 2025-12-04T08:51:09.8878155Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8878585Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8878999Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8879349Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.8879679Z x = stage(x) 2025-12-04T08:51:09.8879986Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:51:09.8880328Z out = self.conv2(out) 2025-12-04T08:51:09.8880630Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.8880947Z x = F.conv2d( 2025-12-04T08:51:09.8881032Z 2025-12-04T08:51:09.8881135Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8881564Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8881967Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8882432Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.8882805Z x = stage(x) 2025-12-04T08:51:09.8883140Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:51:09.8883496Z out = F.relu_(out) 2025-12-04T08:51:09.8883601Z 2025-12-04T08:51:09.8883711Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8884208Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8884615Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8884968Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.8885307Z x = stage(x) 2025-12-04T08:51:09.8885619Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:51:09.8885954Z out = self.conv3(out) 2025-12-04T08:51:09.8886262Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.8886614Z x = F.conv2d( 2025-12-04T08:51:09.8886700Z 2025-12-04T08:51:09.8886797Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8887234Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8887647Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8888000Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.8888329Z x = stage(x) 2025-12-04T08:51:09.8888640Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:51:09.8888981Z out = F.relu_(out) 2025-12-04T08:51:09.8889074Z 2025-12-04T08:51:09.8889170Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8889608Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8890023Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8890379Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.8890711Z x = stage(x) 2025-12-04T08:51:09.8891022Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:51:09.8891362Z out = self.conv1(x) 2025-12-04T08:51:09.8891664Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.8891972Z x = F.conv2d( 2025-12-04T08:51:09.8892063Z 2025-12-04T08:51:09.8892159Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8892590Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8893000Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8893356Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.8893688Z x = stage(x) 2025-12-04T08:51:09.8893998Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:51:09.8894331Z out = F.relu_(out) 2025-12-04T08:51:09.8894432Z 2025-12-04T08:51:09.8894527Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8894958Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8895371Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8895716Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.8896053Z x = stage(x) 2025-12-04T08:51:09.8896362Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:51:09.8896728Z out = self.conv2(out) 2025-12-04T08:51:09.8897042Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.8897368Z x = F.conv2d( 2025-12-04T08:51:09.8897455Z 2025-12-04T08:51:09.8897561Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8897991Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8898410Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8898772Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.8899139Z x = stage(x) 2025-12-04T08:51:09.8899450Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:51:09.8899791Z out = F.relu_(out) 2025-12-04T08:51:09.8899883Z 2025-12-04T08:51:09.8899987Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8900452Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8900877Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8901240Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.8901585Z x = stage(x) 2025-12-04T08:51:09.8901896Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:51:09.8902304Z out = self.conv3(out) 2025-12-04T08:51:09.8902611Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.8902919Z x = F.conv2d( 2025-12-04T08:51:09.8903011Z 2025-12-04T08:51:09.8903110Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8903741Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8904176Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8904538Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.8904896Z x = stage(x) 2025-12-04T08:51:09.8905224Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward 2025-12-04T08:51:09.8905583Z shortcut = self.shortcut(x) 2025-12-04T08:51:09.8905924Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.8906259Z x = F.conv2d( 2025-12-04T08:51:09.8906347Z 2025-12-04T08:51:09.8906455Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8906903Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8907331Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8907698Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.8908046Z x = stage(x) 2025-12-04T08:51:09.8908354Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:51:09.8908709Z out = self.conv1(x) 2025-12-04T08:51:09.8909019Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.8909343Z x = F.conv2d( 2025-12-04T08:51:09.8909436Z 2025-12-04T08:51:09.8909532Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8910014Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8910437Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8910791Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.8911136Z x = stage(x) 2025-12-04T08:51:09.8911454Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:51:09.8911793Z out = F.relu_(out) 2025-12-04T08:51:09.8911893Z 2025-12-04T08:51:09.8911989Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8912432Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8912898Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8913257Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.8913601Z x = stage(x) 2025-12-04T08:51:09.8913919Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:51:09.8914271Z out = self.conv2(out) 2025-12-04T08:51:09.8914580Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.8914905Z x = F.conv2d( 2025-12-04T08:51:09.8914991Z 2025-12-04T08:51:09.8915108Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8915537Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8916172Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8916539Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.8916883Z x = stage(x) 2025-12-04T08:51:09.8917191Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:51:09.8917536Z out = F.relu_(out) 2025-12-04T08:51:09.8917632Z 2025-12-04T08:51:09.8917739Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8918177Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8918587Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8918948Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.8919294Z x = stage(x) 2025-12-04T08:51:09.8919601Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:51:09.8919950Z out = self.conv3(out) 2025-12-04T08:51:09.8920262Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.8920583Z x = F.conv2d( 2025-12-04T08:51:09.8920667Z 2025-12-04T08:51:09.8920762Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8921195Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8921608Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8921953Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.8922349Z x = stage(x) 2025-12-04T08:51:09.8922668Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:51:09.8923020Z out = F.relu_(out) 2025-12-04T08:51:09.8923116Z 2025-12-04T08:51:09.8923305Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8923747Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8924167Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8924530Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.8924863Z x = stage(x) 2025-12-04T08:51:09.8925178Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:51:09.8925527Z out = self.conv1(x) 2025-12-04T08:51:09.8925875Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.8926190Z x = F.conv2d( 2025-12-04T08:51:09.8926275Z 2025-12-04T08:51:09.8926367Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8926797Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8927201Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8927553Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.8927888Z x = stage(x) 2025-12-04T08:51:09.8928188Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:51:09.8928527Z out = F.relu_(out) 2025-12-04T08:51:09.8928624Z 2025-12-04T08:51:09.8928721Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8929152Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8929558Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8929912Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.8930249Z x = stage(x) 2025-12-04T08:51:09.8930560Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:51:09.8930894Z out = self.conv2(out) 2025-12-04T08:51:09.8931203Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.8931523Z x = F.conv2d( 2025-12-04T08:51:09.8931607Z 2025-12-04T08:51:09.8931702Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8932138Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8932551Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8932909Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.8933241Z x = stage(x) 2025-12-04T08:51:09.8933552Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:51:09.8933894Z out = F.relu_(out) 2025-12-04T08:51:09.8933986Z 2025-12-04T08:51:09.8934086Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8934510Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8934918Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8935274Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.8935603Z x = stage(x) 2025-12-04T08:51:09.8935962Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:51:09.8936308Z out = self.conv3(out) 2025-12-04T08:51:09.8936619Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.8936932Z x = F.conv2d( 2025-12-04T08:51:09.8937023Z 2025-12-04T08:51:09.8937117Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8937561Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8937979Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8938338Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.8938705Z x = stage(x) 2025-12-04T08:51:09.8939007Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:51:09.8939349Z out = F.relu_(out) 2025-12-04T08:51:09.8939441Z 2025-12-04T08:51:09.8939543Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8939967Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8940381Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8940733Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.8941070Z x = stage(x) 2025-12-04T08:51:09.8941373Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:51:09.8941719Z out = self.conv1(x) 2025-12-04T08:51:09.8942024Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.8942333Z x = F.conv2d( 2025-12-04T08:51:09.8942427Z 2025-12-04T08:51:09.8942521Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8942948Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8943357Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8943703Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.8944037Z x = stage(x) 2025-12-04T08:51:09.8944344Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:51:09.8944686Z out = F.relu_(out) 2025-12-04T08:51:09.8944774Z 2025-12-04T08:51:09.8944866Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8945291Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8945696Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8946037Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.8946375Z x = stage(x) 2025-12-04T08:51:09.8946681Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:51:09.8947021Z out = self.conv2(out) 2025-12-04T08:51:09.8947320Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.8947637Z x = F.conv2d( 2025-12-04T08:51:09.8947724Z 2025-12-04T08:51:09.8947823Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8948245Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8948684Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8949041Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.8949375Z x = stage(x) 2025-12-04T08:51:09.8949677Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:51:09.8950016Z out = F.relu_(out) 2025-12-04T08:51:09.8950111Z 2025-12-04T08:51:09.8950215Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8950648Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8951090Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8951447Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.8951784Z x = stage(x) 2025-12-04T08:51:09.8952088Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:51:09.8952430Z out = self.conv3(out) 2025-12-04T08:51:09.8952739Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.8953053Z x = F.conv2d( 2025-12-04T08:51:09.8953136Z 2025-12-04T08:51:09.8953232Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8953662Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8954073Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8954425Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.8954752Z x = stage(x) 2025-12-04T08:51:09.8955063Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:51:09.8955398Z out = F.relu_(out) 2025-12-04T08:51:09.8955488Z 2025-12-04T08:51:09.8955581Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8956007Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8956416Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8956769Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.8957096Z x = stage(x) 2025-12-04T08:51:09.8957410Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:51:09.8957753Z out = self.conv1(x) 2025-12-04T08:51:09.8958051Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.8958364Z x = F.conv2d( 2025-12-04T08:51:09.8958452Z 2025-12-04T08:51:09.8958545Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8958968Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8959370Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8959717Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.8960055Z x = stage(x) 2025-12-04T08:51:09.8960361Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:51:09.8960691Z out = F.relu_(out) 2025-12-04T08:51:09.8960788Z 2025-12-04T08:51:09.8960884Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8961345Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8961749Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8962110Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.8962529Z x = stage(x) 2025-12-04T08:51:09.8962848Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:51:09.8963254Z out = self.conv2(out) 2025-12-04T08:51:09.8963564Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.8963924Z x = F.conv2d( 2025-12-04T08:51:09.8964007Z 2025-12-04T08:51:09.8964104Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8964535Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8964947Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8965304Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.8965635Z x = stage(x) 2025-12-04T08:51:09.8965949Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:51:09.8966292Z out = F.relu_(out) 2025-12-04T08:51:09.8966384Z 2025-12-04T08:51:09.8966488Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8966918Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8967338Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8967698Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.8968028Z x = stage(x) 2025-12-04T08:51:09.8968340Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:51:09.8968683Z out = self.conv3(out) 2025-12-04T08:51:09.8968989Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.8969298Z x = F.conv2d( 2025-12-04T08:51:09.8969387Z 2025-12-04T08:51:09.8969482Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8969917Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8970333Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8970681Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.8971013Z x = stage(x) 2025-12-04T08:51:09.8971315Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:51:09.8971647Z out = F.relu_(out) 2025-12-04T08:51:09.8971745Z 2025-12-04T08:51:09.8971840Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8972271Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8972685Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8973033Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.8973374Z x = stage(x) 2025-12-04T08:51:09.8973676Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:51:09.8974006Z out = self.conv1(x) 2025-12-04T08:51:09.8974338Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.8974661Z x = F.conv2d( 2025-12-04T08:51:09.8974741Z 2025-12-04T08:51:09.8974843Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8975270Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8975686Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8976039Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.8976374Z x = stage(x) 2025-12-04T08:51:09.8976727Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:51:09.8977061Z out = F.relu_(out) 2025-12-04T08:51:09.8977152Z 2025-12-04T08:51:09.8977255Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8977676Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8978082Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8978432Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.8978765Z x = stage(x) 2025-12-04T08:51:09.8979066Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:51:09.8979408Z out = self.conv2(out) 2025-12-04T08:51:09.8979715Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.8980027Z x = F.conv2d( 2025-12-04T08:51:09.8980120Z 2025-12-04T08:51:09.8980215Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8980653Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8981066Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8981415Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.8981756Z x = stage(x) 2025-12-04T08:51:09.8982067Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:51:09.8982409Z out = F.relu_(out) 2025-12-04T08:51:09.8982502Z 2025-12-04T08:51:09.8982597Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8983035Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8983450Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8983803Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.8984139Z x = stage(x) 2025-12-04T08:51:09.8984447Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:51:09.8984793Z out = self.conv3(out) 2025-12-04T08:51:09.8985094Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.8985406Z x = F.conv2d( 2025-12-04T08:51:09.8985491Z 2025-12-04T08:51:09.8985594Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8986027Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8986438Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8986832Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.8987172Z x = stage(x) 2025-12-04T08:51:09.8987468Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:51:09.8987802Z out = F.relu_(out) 2025-12-04T08:51:09.8987901Z 2025-12-04T08:51:09.8987995Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8988423Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8988826Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8989173Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.8989544Z x = stage(x) 2025-12-04T08:51:09.8989846Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:51:09.8990189Z out = self.conv1(x) 2025-12-04T08:51:09.8990493Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.8990810Z x = F.conv2d( 2025-12-04T08:51:09.8990894Z 2025-12-04T08:51:09.8990989Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8991420Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8991832Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8992185Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.8992513Z x = stage(x) 2025-12-04T08:51:09.8992820Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:51:09.8993156Z out = F.relu_(out) 2025-12-04T08:51:09.8993250Z 2025-12-04T08:51:09.8993345Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8993774Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8994188Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8994543Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.8994871Z x = stage(x) 2025-12-04T08:51:09.8995179Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:51:09.8995523Z out = self.conv2(out) 2025-12-04T08:51:09.8995822Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.8996140Z x = F.conv2d( 2025-12-04T08:51:09.8996231Z 2025-12-04T08:51:09.8996331Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8996766Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8997174Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8997527Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.8997868Z x = stage(x) 2025-12-04T08:51:09.8998179Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:51:09.8998510Z out = F.relu_(out) 2025-12-04T08:51:09.8998612Z 2025-12-04T08:51:09.8998708Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.8999140Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.8999581Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.8999943Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9000280Z x = stage(x) 2025-12-04T08:51:09.9000598Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:51:09.9000952Z out = self.conv3(out) 2025-12-04T08:51:09.9001273Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.9001605Z x = F.conv2d( 2025-12-04T08:51:09.9001693Z 2025-12-04T08:51:09.9001798Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9002368Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9002828Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9003223Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9003564Z x = stage(x) 2025-12-04T08:51:09.9003883Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:51:09.9004234Z out = F.relu_(out) 2025-12-04T08:51:09.9004332Z 2025-12-04T08:51:09.9004439Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9004880Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9005316Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9005686Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9006039Z x = stage(x) 2025-12-04T08:51:09.9006355Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:51:09.9006704Z out = self.conv1(x) 2025-12-04T08:51:09.9007018Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.9007336Z x = F.conv2d( 2025-12-04T08:51:09.9007428Z 2025-12-04T08:51:09.9007525Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9007968Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9008391Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9008752Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9009092Z x = stage(x) 2025-12-04T08:51:09.9009415Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:51:09.9009756Z out = F.relu_(out) 2025-12-04T08:51:09.9009860Z 2025-12-04T08:51:09.9009957Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9010405Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9010832Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9011190Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9011539Z x = stage(x) 2025-12-04T08:51:09.9011859Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:51:09.9012216Z out = self.conv2(out) 2025-12-04T08:51:09.9012525Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.9012893Z x = F.conv2d( 2025-12-04T08:51:09.9012984Z 2025-12-04T08:51:09.9013089Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9013526Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9013954Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9014319Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9014668Z x = stage(x) 2025-12-04T08:51:09.9014978Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:51:09.9015364Z out = F.relu_(out) 2025-12-04T08:51:09.9015459Z 2025-12-04T08:51:09.9015746Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9016226Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9016645Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9017006Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9017350Z x = stage(x) 2025-12-04T08:51:09.9017656Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:51:09.9018008Z out = self.conv3(out) 2025-12-04T08:51:09.9018322Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.9018646Z x = F.conv2d( 2025-12-04T08:51:09.9018733Z 2025-12-04T08:51:09.9018828Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9019265Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9019681Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9020031Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9020370Z x = stage(x) 2025-12-04T08:51:09.9020679Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:51:09.9021022Z out = F.relu_(out) 2025-12-04T08:51:09.9021117Z 2025-12-04T08:51:09.9021213Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9021646Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9022180Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9022538Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9022874Z x = stage(x) 2025-12-04T08:51:09.9023187Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:51:09.9023531Z out = self.conv1(x) 2025-12-04T08:51:09.9023827Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.9024148Z x = F.conv2d( 2025-12-04T08:51:09.9024235Z 2025-12-04T08:51:09.9024340Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9024775Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9025186Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9025544Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9025882Z x = stage(x) 2025-12-04T08:51:09.9026243Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:51:09.9026587Z out = F.relu_(out) 2025-12-04T08:51:09.9026687Z 2025-12-04T08:51:09.9026782Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9027215Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9027623Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9027979Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9028383Z x = stage(x) 2025-12-04T08:51:09.9028700Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:51:09.9029042Z out = self.conv2(out) 2025-12-04T08:51:09.9029359Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.9029683Z x = F.conv2d( 2025-12-04T08:51:09.9029770Z 2025-12-04T08:51:09.9029870Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9030309Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9030727Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9031088Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9031426Z x = stage(x) 2025-12-04T08:51:09.9031745Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:51:09.9032095Z out = F.relu_(out) 2025-12-04T08:51:09.9032190Z 2025-12-04T08:51:09.9032289Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9032732Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9033152Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9033512Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9033845Z x = stage(x) 2025-12-04T08:51:09.9034160Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:51:09.9034509Z out = self.conv3(out) 2025-12-04T08:51:09.9034824Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.9035143Z x = F.conv2d( 2025-12-04T08:51:09.9035238Z 2025-12-04T08:51:09.9035336Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9035780Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9036191Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9036554Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9036897Z x = stage(x) 2025-12-04T08:51:09.9037213Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:51:09.9037550Z out = F.relu_(out) 2025-12-04T08:51:09.9037654Z 2025-12-04T08:51:09.9037752Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9038189Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9038606Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9038992Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9039335Z x = stage(x) 2025-12-04T08:51:09.9039647Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:51:09.9039983Z out = self.conv1(x) 2025-12-04T08:51:09.9040287Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.9040604Z x = F.conv2d( 2025-12-04T08:51:09.9040688Z 2025-12-04T08:51:09.9040788Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9041218Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9041664Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9042027Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9042418Z x = stage(x) 2025-12-04T08:51:09.9042741Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:51:09.9043091Z out = F.relu_(out) 2025-12-04T08:51:09.9043187Z 2025-12-04T08:51:09.9043294Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9043744Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9044159Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9044525Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9044875Z x = stage(x) 2025-12-04T08:51:09.9045190Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:51:09.9045550Z out = self.conv2(out) 2025-12-04T08:51:09.9045872Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.9046196Z x = F.conv2d( 2025-12-04T08:51:09.9046295Z 2025-12-04T08:51:09.9046393Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9046839Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9047266Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9047626Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9047981Z x = stage(x) 2025-12-04T08:51:09.9048303Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:51:09.9048645Z out = F.relu_(out) 2025-12-04T08:51:09.9048749Z 2025-12-04T08:51:09.9048851Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9049295Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9049720Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9050079Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9050425Z x = stage(x) 2025-12-04T08:51:09.9050744Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:51:09.9051098Z out = self.conv3(out) 2025-12-04T08:51:09.9051411Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.9051740Z x = F.conv2d( 2025-12-04T08:51:09.9051827Z 2025-12-04T08:51:09.9051934Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9052410Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9052839Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9053205Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9053549Z x = stage(x) 2025-12-04T08:51:09.9053863Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:51:09.9054214Z out = F.relu_(out) 2025-12-04T08:51:09.9054309Z 2025-12-04T08:51:09.9054450Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9054895Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9055319Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9055685Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9056029Z x = stage(x) 2025-12-04T08:51:09.9056342Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:51:09.9056697Z out = self.conv1(x) 2025-12-04T08:51:09.9057021Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.9057336Z x = F.conv2d( 2025-12-04T08:51:09.9057421Z 2025-12-04T08:51:09.9057515Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9057949Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9058364Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9058712Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9059049Z x = stage(x) 2025-12-04T08:51:09.9059359Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:51:09.9059698Z out = F.relu_(out) 2025-12-04T08:51:09.9059791Z 2025-12-04T08:51:09.9059886Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9060317Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9060732Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9061091Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9061421Z x = stage(x) 2025-12-04T08:51:09.9061736Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:51:09.9062080Z out = self.conv2(out) 2025-12-04T08:51:09.9062381Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.9062704Z x = F.conv2d( 2025-12-04T08:51:09.9062798Z 2025-12-04T08:51:09.9062894Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9063327Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9063734Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9064090Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9064432Z x = stage(x) 2025-12-04T08:51:09.9064735Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:51:09.9065106Z out = F.relu_(out) 2025-12-04T08:51:09.9065208Z 2025-12-04T08:51:09.9065315Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9065746Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9066153Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9066508Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9066843Z x = stage(x) 2025-12-04T08:51:09.9067154Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:51:09.9067522Z out = self.conv3(out) 2025-12-04T08:51:09.9067832Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.9068151Z x = F.conv2d( 2025-12-04T08:51:09.9068237Z 2025-12-04T08:51:09.9068334Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9068769Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9069186Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9069539Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9069869Z x = stage(x) 2025-12-04T08:51:09.9070178Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:51:09.9070520Z out = F.relu_(out) 2025-12-04T08:51:09.9070612Z 2025-12-04T08:51:09.9070715Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9071142Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9071557Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9071911Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9072243Z x = stage(x) 2025-12-04T08:51:09.9072554Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:51:09.9072895Z out = self.conv1(x) 2025-12-04T08:51:09.9073199Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.9073509Z x = F.conv2d( 2025-12-04T08:51:09.9073603Z 2025-12-04T08:51:09.9073698Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9074132Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9074541Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9074893Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9075230Z x = stage(x) 2025-12-04T08:51:09.9075540Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:51:09.9075874Z out = F.relu_(out) 2025-12-04T08:51:09.9075972Z 2025-12-04T08:51:09.9076068Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9076503Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9076923Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9077272Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9077611Z x = stage(x) 2025-12-04T08:51:09.9077966Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:51:09.9078306Z out = self.conv2(out) 2025-12-04T08:51:09.9078618Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.9078941Z x = F.conv2d( 2025-12-04T08:51:09.9079025Z 2025-12-04T08:51:09.9079126Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9079552Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9079970Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9080366Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9080704Z x = stage(x) 2025-12-04T08:51:09.9081013Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:51:09.9081361Z out = F.relu_(out) 2025-12-04T08:51:09.9081456Z 2025-12-04T08:51:09.9081560Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9081994Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9082494Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9082865Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9083217Z x = stage(x) 2025-12-04T08:51:09.9083539Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:51:09.9083928Z out = self.conv3(out) 2025-12-04T08:51:09.9084248Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.9084569Z x = F.conv2d( 2025-12-04T08:51:09.9084668Z 2025-12-04T08:51:09.9084768Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9085215Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9085663Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9086021Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9086367Z x = stage(x) 2025-12-04T08:51:09.9086686Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:51:09.9087038Z out = F.relu_(out) 2025-12-04T08:51:09.9087134Z 2025-12-04T08:51:09.9087231Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9087677Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9088101Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9088456Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9088800Z x = stage(x) 2025-12-04T08:51:09.9089116Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:51:09.9089467Z out = self.conv1(x) 2025-12-04T08:51:09.9089773Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.9090100Z x = F.conv2d( 2025-12-04T08:51:09.9090187Z 2025-12-04T08:51:09.9090291Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9090762Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9091190Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9091560Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9091911Z x = stage(x) 2025-12-04T08:51:09.9092226Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:51:09.9092587Z out = F.relu_(out) 2025-12-04T08:51:09.9092683Z 2025-12-04T08:51:09.9092789Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9093248Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9093704Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9094073Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9094427Z x = stage(x) 2025-12-04T08:51:09.9094742Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:51:09.9095099Z out = self.conv2(out) 2025-12-04T08:51:09.9095426Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.9095744Z x = F.conv2d( 2025-12-04T08:51:09.9095830Z 2025-12-04T08:51:09.9095925Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9096361Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9096781Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9097137Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9097470Z x = stage(x) 2025-12-04T08:51:09.9097782Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:51:09.9098120Z out = F.relu_(out) 2025-12-04T08:51:09.9098212Z 2025-12-04T08:51:09.9098308Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9098742Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9099156Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9099512Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9099842Z x = stage(x) 2025-12-04T08:51:09.9100151Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:51:09.9100494Z out = self.conv3(out) 2025-12-04T08:51:09.9100800Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.9101121Z x = F.conv2d( 2025-12-04T08:51:09.9101214Z 2025-12-04T08:51:09.9101310Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9101745Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9102154Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9102508Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9102848Z x = stage(x) 2025-12-04T08:51:09.9103160Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:51:09.9103495Z out = F.relu_(out) 2025-12-04T08:51:09.9103592Z 2025-12-04T08:51:09.9103718Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9104153Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9104561Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9104918Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9104983Z x = stage(x) 2025-12-04T08:51:09.9105207Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:51:09.9105269Z out = self.conv1(x) 2025-12-04T08:51:09.9105480Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.9105571Z x = F.conv2d( 2025-12-04T08:51:09.9105574Z 2025-12-04T08:51:09.9105672Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9105966Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9106042Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9106275Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9106332Z x = stage(x) 2025-12-04T08:51:09.9106558Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:51:09.9106627Z out = F.relu_(out) 2025-12-04T08:51:09.9106631Z 2025-12-04T08:51:09.9106724Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9107022Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9107096Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9107325Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9107390Z x = stage(x) 2025-12-04T08:51:09.9107613Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:51:09.9107678Z out = self.conv2(out) 2025-12-04T08:51:09.9107891Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.9107948Z x = F.conv2d( 2025-12-04T08:51:09.9107951Z 2025-12-04T08:51:09.9108054Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9108335Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9108414Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9108648Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9108706Z x = stage(x) 2025-12-04T08:51:09.9108937Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:51:09.9108997Z out = F.relu_(out) 2025-12-04T08:51:09.9109000Z 2025-12-04T08:51:09.9109095Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9109385Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9109461Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9109686Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9109754Z x = stage(x) 2025-12-04T08:51:09.9109979Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:51:09.9110082Z out = self.conv3(out) 2025-12-04T08:51:09.9110287Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.9110345Z x = F.conv2d( 2025-12-04T08:51:09.9110348Z 2025-12-04T08:51:09.9110450Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9110733Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9110819Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9111046Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9111140Z x = stage(x) 2025-12-04T08:51:09.9111376Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:51:09.9111439Z out = F.relu_(out) 2025-12-04T08:51:09.9111444Z 2025-12-04T08:51:09.9111540Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9111834Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9111911Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9112143Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9112201Z x = stage(x) 2025-12-04T08:51:09.9112427Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:51:09.9112499Z out = self.conv1(x) 2025-12-04T08:51:09.9112707Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.9112764Z x = F.conv2d( 2025-12-04T08:51:09.9112773Z 2025-12-04T08:51:09.9112870Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9113153Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9113238Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9113462Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9113518Z x = stage(x) 2025-12-04T08:51:09.9113751Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:51:09.9113811Z out = F.relu_(out) 2025-12-04T08:51:09.9113817Z 2025-12-04T08:51:09.9113919Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9114204Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9114282Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9114515Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9114573Z x = stage(x) 2025-12-04T08:51:09.9114799Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:51:09.9114870Z out = self.conv2(out) 2025-12-04T08:51:09.9115079Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.9115142Z x = F.conv2d( 2025-12-04T08:51:09.9115145Z 2025-12-04T08:51:09.9115240Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9115528Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9115802Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9116137Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9116207Z x = stage(x) 2025-12-04T08:51:09.9116432Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:51:09.9116493Z out = F.relu_(out) 2025-12-04T08:51:09.9116497Z 2025-12-04T08:51:09.9116601Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9116885Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9117106Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9117332Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9117389Z x = stage(x) 2025-12-04T08:51:09.9117628Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:51:09.9117693Z out = self.conv3(out) 2025-12-04T08:51:09.9117898Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.9117966Z x = F.conv2d( 2025-12-04T08:51:09.9117969Z 2025-12-04T08:51:09.9118065Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9118354Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9118429Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9118655Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9118723Z x = stage(x) 2025-12-04T08:51:09.9118950Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:51:09.9119011Z out = F.relu_(out) 2025-12-04T08:51:09.9119022Z 2025-12-04T08:51:09.9119118Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9119401Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9119485Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9119708Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9119763Z x = stage(x) 2025-12-04T08:51:09.9119994Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:51:09.9120059Z out = self.conv1(x) 2025-12-04T08:51:09.9120269Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.9120328Z x = F.conv2d( 2025-12-04T08:51:09.9120331Z 2025-12-04T08:51:09.9120428Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9120717Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9120793Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9121016Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9121081Z x = stage(x) 2025-12-04T08:51:09.9121305Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:51:09.9121375Z out = F.relu_(out) 2025-12-04T08:51:09.9121378Z 2025-12-04T08:51:09.9121472Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9121781Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9121867Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9122096Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9122213Z x = stage(x) 2025-12-04T08:51:09.9122449Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:51:09.9122513Z out = self.conv2(out) 2025-12-04T08:51:09.9122730Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.9122823Z x = F.conv2d( 2025-12-04T08:51:09.9122826Z 2025-12-04T08:51:09.9122924Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9123227Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9123305Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9123547Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9123604Z x = stage(x) 2025-12-04T08:51:09.9123828Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:51:09.9123898Z out = F.relu_(out) 2025-12-04T08:51:09.9123901Z 2025-12-04T08:51:09.9123997Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9124291Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9124370Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9124597Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9124666Z x = stage(x) 2025-12-04T08:51:09.9124890Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:51:09.9124954Z out = self.conv3(out) 2025-12-04T08:51:09.9125165Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.9125222Z x = F.conv2d( 2025-12-04T08:51:09.9125225Z 2025-12-04T08:51:09.9125329Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9125612Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9125690Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9125925Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9125983Z x = stage(x) 2025-12-04T08:51:09.9126215Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:51:09.9126275Z out = F.relu_(out) 2025-12-04T08:51:09.9126278Z 2025-12-04T08:51:09.9126373Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9126671Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9126746Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9126970Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9127038Z x = stage(x) 2025-12-04T08:51:09.9127260Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:51:09.9127328Z out = self.conv1(x) 2025-12-04T08:51:09.9127563Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.9127621Z x = F.conv2d( 2025-12-04T08:51:09.9127624Z 2025-12-04T08:51:09.9127726Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9128008Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9128091Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9128314Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9128369Z x = stage(x) 2025-12-04T08:51:09.9128599Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:51:09.9128687Z out = F.relu_(out) 2025-12-04T08:51:09.9128690Z 2025-12-04T08:51:09.9128785Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9129079Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9129156Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9129385Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9129442Z x = stage(x) 2025-12-04T08:51:09.9129664Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:51:09.9129735Z out = self.conv2(out) 2025-12-04T08:51:09.9129941Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.9130011Z x = F.conv2d( 2025-12-04T08:51:09.9130014Z 2025-12-04T08:51:09.9130134Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9130492Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9130580Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9130800Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9130855Z x = stage(x) 2025-12-04T08:51:09.9131083Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:51:09.9131143Z out = F.relu_(out) 2025-12-04T08:51:09.9131145Z 2025-12-04T08:51:09.9131245Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9131523Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9131601Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9131833Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9131888Z x = stage(x) 2025-12-04T08:51:09.9132113Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:51:09.9132176Z out = self.conv3(out) 2025-12-04T08:51:09.9132378Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.9132441Z x = F.conv2d( 2025-12-04T08:51:09.9132444Z 2025-12-04T08:51:09.9132537Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9132815Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9132900Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9133149Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9133214Z x = stage(x) 2025-12-04T08:51:09.9133436Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:51:09.9133497Z out = F.relu_(out) 2025-12-04T08:51:09.9133499Z 2025-12-04T08:51:09.9133600Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9133881Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9133963Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9134185Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9134282Z x = stage(x) 2025-12-04T08:51:09.9134513Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:51:09.9134577Z out = self.conv1(x) 2025-12-04T08:51:09.9134781Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.9134844Z x = F.conv2d( 2025-12-04T08:51:09.9134847Z 2025-12-04T08:51:09.9134942Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9135235Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9135311Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9135537Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9135604Z x = stage(x) 2025-12-04T08:51:09.9135831Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:51:09.9135892Z out = F.relu_(out) 2025-12-04T08:51:09.9135903Z 2025-12-04T08:51:09.9136002Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9136290Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9136373Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9136598Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9136655Z x = stage(x) 2025-12-04T08:51:09.9136888Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:51:09.9136950Z out = self.conv2(out) 2025-12-04T08:51:09.9137166Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.9137224Z x = F.conv2d( 2025-12-04T08:51:09.9137228Z 2025-12-04T08:51:09.9137323Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9137618Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9137694Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9137930Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9137987Z x = stage(x) 2025-12-04T08:51:09.9138213Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:51:09.9138281Z out = F.relu_(out) 2025-12-04T08:51:09.9138284Z 2025-12-04T08:51:09.9138383Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9138666Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9138784Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9139011Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9139074Z x = stage(x) 2025-12-04T08:51:09.9139298Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:51:09.9139360Z out = self.conv3(out) 2025-12-04T08:51:09.9139570Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.9139627Z x = F.conv2d( 2025-12-04T08:51:09.9139630Z 2025-12-04T08:51:09.9139723Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9140043Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9140118Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9140352Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9140408Z x = stage(x) 2025-12-04T08:51:09.9140630Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:51:09.9140700Z out = F.relu_(out) 2025-12-04T08:51:09.9140704Z 2025-12-04T08:51:09.9140835Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9141221Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9141297Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9141524Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9141588Z x = stage(x) 2025-12-04T08:51:09.9141812Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:51:09.9141872Z out = self.conv1(x) 2025-12-04T08:51:09.9142081Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.9142137Z x = F.conv2d( 2025-12-04T08:51:09.9142140Z 2025-12-04T08:51:09.9142243Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9142523Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9142596Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9142825Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9142883Z x = stage(x) 2025-12-04T08:51:09.9143111Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:51:09.9143173Z out = F.relu_(out) 2025-12-04T08:51:09.9143175Z 2025-12-04T08:51:09.9143270Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9143555Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9143630Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9143853Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9143917Z x = stage(x) 2025-12-04T08:51:09.9144190Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:51:09.9144278Z out = self.conv2(out) 2025-12-04T08:51:09.9144484Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.9144541Z x = F.conv2d( 2025-12-04T08:51:09.9144580Z 2025-12-04T08:51:09.9144686Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9144969Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9145053Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9145277Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9145331Z x = stage(x) 2025-12-04T08:51:09.9145561Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:51:09.9145651Z out = F.relu_(out) 2025-12-04T08:51:09.9145654Z 2025-12-04T08:51:09.9145749Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9146046Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9146121Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9146359Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9146415Z x = stage(x) 2025-12-04T08:51:09.9146641Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:51:09.9146708Z out = self.conv3(out) 2025-12-04T08:51:09.9146915Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.9146977Z x = F.conv2d( 2025-12-04T08:51:09.9146983Z 2025-12-04T08:51:09.9147077Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9147364Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9147448Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9147674Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9147728Z x = stage(x) 2025-12-04T08:51:09.9147963Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:51:09.9148022Z out = F.relu_(out) 2025-12-04T08:51:09.9148025Z 2025-12-04T08:51:09.9148125Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9148414Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9148491Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9148724Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9148779Z x = stage(x) 2025-12-04T08:51:09.9149011Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:51:09.9149073Z out = self.conv1(x) 2025-12-04T08:51:09.9149281Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.9149343Z x = F.conv2d( 2025-12-04T08:51:09.9149346Z 2025-12-04T08:51:09.9149441Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9149731Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9149812Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9150042Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9150105Z x = stage(x) 2025-12-04T08:51:09.9150365Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:51:09.9150426Z out = F.relu_(out) 2025-12-04T08:51:09.9150429Z 2025-12-04T08:51:09.9150531Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9150810Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9150894Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9151116Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9151173Z x = stage(x) 2025-12-04T08:51:09.9151438Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:51:09.9151501Z out = self.conv2(out) 2025-12-04T08:51:09.9151707Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.9151772Z x = F.conv2d( 2025-12-04T08:51:09.9151775Z 2025-12-04T08:51:09.9151869Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9152156Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9152233Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9152454Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9152520Z x = stage(x) 2025-12-04T08:51:09.9152742Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:51:09.9152812Z out = F.relu_(out) 2025-12-04T08:51:09.9152815Z 2025-12-04T08:51:09.9152908Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9153193Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9153277Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9153501Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9153557Z x = stage(x) 2025-12-04T08:51:09.9153789Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:51:09.9153851Z out = self.conv3(out) 2025-12-04T08:51:09.9154060Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.9154119Z x = F.conv2d( 2025-12-04T08:51:09.9154122Z 2025-12-04T08:51:09.9154216Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9154508Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9154583Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9154811Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9154869Z x = stage(x) 2025-12-04T08:51:09.9155090Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:51:09.9155156Z out = F.relu_(out) 2025-12-04T08:51:09.9155159Z 2025-12-04T08:51:09.9155252Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9155534Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9155618Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9155873Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9155936Z x = stage(x) 2025-12-04T08:51:09.9156161Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:51:09.9156221Z out = self.conv1(x) 2025-12-04T08:51:09.9156436Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.9156495Z x = F.conv2d( 2025-12-04T08:51:09.9156498Z 2025-12-04T08:51:09.9156598Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9156881Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9157001Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9157230Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9157288Z x = stage(x) 2025-12-04T08:51:09.9157509Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:51:09.9157578Z out = F.relu_(out) 2025-12-04T08:51:09.9157581Z 2025-12-04T08:51:09.9157675Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9157963Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9158038Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9158261Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9158327Z x = stage(x) 2025-12-04T08:51:09.9158549Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:51:09.9158619Z out = self.conv2(out) 2025-12-04T08:51:09.9158826Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.9158883Z x = F.conv2d( 2025-12-04T08:51:09.9158885Z 2025-12-04T08:51:09.9158986Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9159267Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9159344Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9159573Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9159629Z x = stage(x) 2025-12-04T08:51:09.9159859Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:51:09.9159919Z out = F.relu_(out) 2025-12-04T08:51:09.9159922Z 2025-12-04T08:51:09.9160020Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9160307Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9160381Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9160608Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9160664Z x = stage(x) 2025-12-04T08:51:09.9160886Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:51:09.9160954Z out = self.conv3(out) 2025-12-04T08:51:09.9161155Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.9161214Z x = F.conv2d( 2025-12-04T08:51:09.9161216Z 2025-12-04T08:51:09.9161319Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9161634Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9161719Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9161943Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9161998Z x = stage(x) 2025-12-04T08:51:09.9162309Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:51:09.9162376Z out = F.relu_(out) 2025-12-04T08:51:09.9162379Z 2025-12-04T08:51:09.9162475Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9162801Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9162877Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9163116Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9163174Z x = stage(x) 2025-12-04T08:51:09.9163403Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:51:09.9163476Z out = self.conv1(x) 2025-12-04T08:51:09.9163685Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.9163751Z x = F.conv2d( 2025-12-04T08:51:09.9163754Z 2025-12-04T08:51:09.9163850Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9164196Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9164284Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9164508Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9164562Z x = stage(x) 2025-12-04T08:51:09.9164792Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:51:09.9164851Z out = F.relu_(out) 2025-12-04T08:51:09.9164854Z 2025-12-04T08:51:09.9164955Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9165235Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9165312Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9165549Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9165611Z x = stage(x) 2025-12-04T08:51:09.9165848Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:51:09.9165915Z out = self.conv2(out) 2025-12-04T08:51:09.9166123Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.9166190Z x = F.conv2d( 2025-12-04T08:51:09.9166193Z 2025-12-04T08:51:09.9166290Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9166580Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9166665Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9166894Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9166961Z x = stage(x) 2025-12-04T08:51:09.9167188Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:51:09.9167250Z out = F.relu_(out) 2025-12-04T08:51:09.9167285Z 2025-12-04T08:51:09.9167394Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9167681Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9167766Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9167997Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9168054Z x = stage(x) 2025-12-04T08:51:09.9168287Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:51:09.9168381Z out = self.conv3(out) 2025-12-04T08:51:09.9168588Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.9168654Z x = F.conv2d( 2025-12-04T08:51:09.9168657Z 2025-12-04T08:51:09.9168756Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9169052Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9169130Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9169360Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9169425Z x = stage(x) 2025-12-04T08:51:09.9169658Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:51:09.9169726Z out = F.relu_(out) 2025-12-04T08:51:09.9169732Z 2025-12-04T08:51:09.9169828Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9170117Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9170203Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9170430Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9170487Z x = stage(x) 2025-12-04T08:51:09.9170725Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:51:09.9170786Z out = self.conv1(x) 2025-12-04T08:51:09.9171002Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.9171061Z x = F.conv2d( 2025-12-04T08:51:09.9171064Z 2025-12-04T08:51:09.9171161Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9171459Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9171538Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9171775Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9171833Z x = stage(x) 2025-12-04T08:51:09.9172064Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:51:09.9172131Z out = F.relu_(out) 2025-12-04T08:51:09.9172134Z 2025-12-04T08:51:09.9172231Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9172520Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9172606Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9172839Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9172904Z x = stage(x) 2025-12-04T08:51:09.9173171Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:51:09.9173236Z out = self.conv2(out) 2025-12-04T08:51:09.9173452Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.9173511Z x = F.conv2d( 2025-12-04T08:51:09.9173515Z 2025-12-04T08:51:09.9173617Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9173905Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9173981Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9174243Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9174302Z x = stage(x) 2025-12-04T08:51:09.9174534Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:51:09.9174602Z out = F.relu_(out) 2025-12-04T08:51:09.9174605Z 2025-12-04T08:51:09.9174701Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9174999Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9175074Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9175304Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9175368Z x = stage(x) 2025-12-04T08:51:09.9175596Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:51:09.9175668Z out = self.conv3(out) 2025-12-04T08:51:09.9175877Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:09.9175937Z x = F.conv2d( 2025-12-04T08:51:09.9175940Z 2025-12-04T08:51:09.9176042Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:09.9176332Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:51:09.9176410Z features = self.backbone(images.tensor) 2025-12-04T08:51:09.9176655Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:51:09.9176712Z x = stage(x) 2025-12-04T08:51:09.9176940Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:51:09.9177002Z out = F.relu_(out) 2025-12-04T08:51:09.9177005Z 2025-12-04T08:51:17.9856111Z cudagraph partition due to non gpu ops 2025-12-04T08:51:17.9857418Z cudagraph partition due to non gpu ops 2025-12-04T08:51:17.9857795Z cudagraph partition due to non gpu ops 2025-12-04T08:51:17.9863287Z cudagraph partition due to non gpu ops 2025-12-04T08:51:17.9866846Z cudagraph partition due to non gpu ops 2025-12-04T08:51:17.9871512Z cudagraph partition due to non gpu ops 2025-12-04T08:51:17.9873646Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:17.9874175Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward 2025-12-04T08:51:17.9874627Z pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features) 2025-12-04T08:51:17.9875074Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 174, in forward 2025-12-04T08:51:17.9875461Z t = self.conv(x) 2025-12-04T08:51:17.9875780Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:17.9876111Z x = F.conv2d( 2025-12-04T08:51:17.9876205Z 2025-12-04T08:51:17.9876682Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:17.9877100Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward 2025-12-04T08:51:17.9877542Z pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features) 2025-12-04T08:51:17.9877983Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 174, in forward 2025-12-04T08:51:17.9878351Z t = self.conv(x) 2025-12-04T08:51:17.9878654Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 148, in forward 2025-12-04T08:51:17.9878990Z x = self.activation(x) 2025-12-04T08:51:17.9879259Z 2025-12-04T08:51:17.9879370Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:17.9879765Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward 2025-12-04T08:51:17.9880199Z pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features) 2025-12-04T08:51:17.9880628Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 175, in forward 2025-12-04T08:51:17.9881040Z pred_objectness_logits.append(self.objectness_logits(t)) 2025-12-04T08:51:17.9881201Z 2025-12-04T08:51:17.9881301Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:17.9881700Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward 2025-12-04T08:51:17.9882129Z pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features) 2025-12-04T08:51:17.9882720Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 176, in forward 2025-12-04T08:51:17.9883140Z pred_anchor_deltas.append(self.anchor_deltas(t)) 2025-12-04T08:51:17.9883300Z 2025-12-04T08:51:17.9883408Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:17.9883842Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 452, in forward 2025-12-04T08:51:17.9884238Z anchors = self.anchor_generator(features) 2025-12-04T08:51:17.9884628Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward 2025-12-04T08:51:17.9885080Z anchors_over_all_feature_maps = self._grid_anchors(grid_sizes) # pyre-ignore 2025-12-04T08:51:17.9885543Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 175, in _grid_anchors 2025-12-04T08:51:17.9885965Z shifts = torch.stack((shift_x, shift_y, shift_x, shift_y), dim=1) 2025-12-04T08:51:17.9886148Z 2025-12-04T08:51:17.9886249Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:17.9886668Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 456, in forward 2025-12-04T08:51:17.9887061Z pred_objectness_logits = [ 2025-12-04T08:51:17.9887440Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 458, in 2025-12-04T08:51:17.9887846Z score.permute(0, 2, 3, 1).flatten(1) 2025-12-04T08:51:17.9887974Z 2025-12-04T08:51:17.9888081Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:17.9888493Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 461, in forward 2025-12-04T08:51:17.9888862Z pred_anchor_deltas = [ 2025-12-04T08:51:17.9889231Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 465, in 2025-12-04T08:51:17.9889627Z .flatten(1, -2) 2025-12-04T08:51:17.9889723Z 2025-12-04T08:51:17.9889822Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:17.9890300Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 452, in forward 2025-12-04T08:51:17.9890696Z anchors = self.anchor_generator(features) 2025-12-04T08:51:17.9891078Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward 2025-12-04T08:51:17.9891515Z anchors_over_all_feature_maps = self._grid_anchors(grid_sizes) # pyre-ignore 2025-12-04T08:51:17.9891970Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 177, in _grid_anchors 2025-12-04T08:51:17.9892434Z anchors.append((shifts.view(-1, 1, 4) + base_anchors.view(1, -1, 4)).reshape(-1, 4)) 2025-12-04T08:51:17.9892690Z 2025-12-04T08:51:19.7672165Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:19.7672702Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 502, in predict_proposals 2025-12-04T08:51:19.7673211Z pred_proposals = self._decode_proposals(anchors, pred_anchor_deltas) 2025-12-04T08:51:19.7673671Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 530, in _decode_proposals 2025-12-04T08:51:19.7674167Z proposals_i = self.box2box_transform.apply_deltas(pred_anchor_deltas_i, anchors_i) 2025-12-04T08:51:19.7674624Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/box_regression.py", line 115, in apply_deltas 2025-12-04T08:51:19.7675017Z pred_boxes = torch.stack((x1, y1, x2, y2), dim=-1) 2025-12-04T08:51:19.7675170Z 2025-12-04T08:51:20.7129837Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:20.7132345Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip 2025-12-04T08:51:20.7132998Z assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!" 2025-12-04T08:51:20.7136991Z 2025-12-04T08:51:20.7139155Z cudagraph partition due to non gpu ops 2025-12-04T08:51:20.7139509Z cudagraph partition due to non gpu ops 2025-12-04T08:51:20.7144314Z cudagraph partition due to non gpu ops 2025-12-04T08:51:20.7144741Z cudagraph partition due to non gpu ops 2025-12-04T08:51:20.7145154Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:20.7145683Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip 2025-12-04T08:51:20.7146072Z self.tensor = torch.stack((x1, y1, x2, y2), dim=-1) 2025-12-04T08:51:20.7146224Z 2025-12-04T08:51:21.4236198Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:21.4236733Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/boxes.py", line 114, in _batched_nms_vanilla 2025-12-04T08:51:21.4237162Z keep_mask = torch.zeros_like(scores, dtype=torch.bool) 2025-12-04T08:51:21.4237333Z 2025-12-04T08:51:22.0263320Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:22.0264855Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 235, in __getitem__ 2025-12-04T08:51:22.0265254Z b = self.tensor[item] 2025-12-04T08:51:22.0265371Z 2025-12-04T08:51:22.6511828Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:22.6513699Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip 2025-12-04T08:51:22.6516705Z assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!" 2025-12-04T08:51:22.6517047Z 2025-12-04T08:51:22.6522772Z cudagraph partition due to non gpu ops 2025-12-04T08:51:22.6525845Z cudagraph partition due to non gpu ops 2025-12-04T08:51:22.6526244Z cudagraph partition due to non gpu ops 2025-12-04T08:51:22.6530072Z cudagraph partition due to non gpu ops 2025-12-04T08:51:22.6532129Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:22.6537209Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip 2025-12-04T08:51:22.6538043Z self.tensor = torch.stack((x1, y1, x2, y2), dim=-1) 2025-12-04T08:51:22.6538213Z 2025-12-04T08:51:23.3170411Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:23.3173750Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip 2025-12-04T08:51:23.3175508Z assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!" 2025-12-04T08:51:23.3175910Z 2025-12-04T08:51:23.3176089Z cudagraph partition due to non gpu ops 2025-12-04T08:51:23.3176311Z cudagraph partition due to non gpu ops 2025-12-04T08:51:23.3177030Z cudagraph partition due to non gpu ops 2025-12-04T08:51:23.3177339Z cudagraph partition due to non gpu ops 2025-12-04T08:51:23.3177697Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:23.3178241Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip 2025-12-04T08:51:23.3178625Z self.tensor = torch.stack((x1, y1, x2, y2), dim=-1) 2025-12-04T08:51:23.3178773Z 2025-12-04T08:51:23.9079071Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:23.9079840Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 235, in __getitem__ 2025-12-04T08:51:23.9080436Z b = self.tensor[item] 2025-12-04T08:51:23.9080607Z 2025-12-04T08:51:25.0752614Z cudagraph partition due to non gpu ops 2025-12-04T08:51:25.0753174Z cudagraph partition due to non gpu ops 2025-12-04T08:51:25.0753463Z cudagraph partition due to non gpu ops 2025-12-04T08:51:25.0753717Z cudagraph partition due to non gpu ops 2025-12-04T08:51:25.0754204Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:25.0754808Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 97, in convert_boxes_to_pooler_format 2025-12-04T08:51:25.0755284Z sizes = shapes_to_tensor([x.__len__() for x in box_lists]) 2025-12-04T08:51:25.0755692Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 39, in shapes_to_tensor 2025-12-04T08:51:25.0756107Z return torch.as_tensor(x, device=device) 2025-12-04T08:51:25.0756248Z 2025-12-04T08:51:25.0756352Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:25.0756766Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 95, in convert_boxes_to_pooler_format 2025-12-04T08:51:25.0757186Z boxes = torch.cat([x.tensor for x in box_lists], dim=0) 2025-12-04T08:51:25.0757340Z 2025-12-04T08:51:25.6848147Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:25.6852842Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 67, in _convert_boxes_to_pooler_format 2025-12-04T08:51:25.6856877Z torch.arange(len(sizes), dtype=boxes.dtype, device=boxes.device), sizes 2025-12-04T08:51:25.6861191Z 2025-12-04T08:51:26.1661374Z cudagraph partition due to non gpu ops 2025-12-04T08:51:26.1666046Z cudagraph partition due to non gpu ops 2025-12-04T08:51:26.1670801Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:26.1675575Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 69, in torch_dynamo_resume_in__convert_boxes_to_pooler_format_at_66 2025-12-04T08:51:26.1677467Z return cat([indices[:, None], boxes], dim=1) 2025-12-04T08:51:26.1677922Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 72, in cat 2025-12-04T08:51:26.1678282Z return torch.cat(tensors, dim) 2025-12-04T08:51:26.1678448Z 2025-12-04T08:51:26.6832897Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:26.6837308Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 246, in torch_dynamo_resume_in_forward_at_243 2025-12-04T08:51:26.6837927Z return self.level_poolers[0](x[0], pooler_fmt_boxes) 2025-12-04T08:51:26.6841183Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward 2025-12-04T08:51:26.6841530Z return roi_align( 2025-12-04T08:51:26.6841948Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align 2025-12-04T08:51:26.6842356Z return torch.ops.torchvision.roi_align( 2025-12-04T08:51:26.6842511Z 2025-12-04T08:51:26.6842616Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:26.6843069Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 246, in torch_dynamo_resume_in_forward_at_243 2025-12-04T08:51:26.6843677Z return self.level_poolers[0](x[0], pooler_fmt_boxes) 2025-12-04T08:51:26.6844063Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward 2025-12-04T08:51:26.6844400Z return roi_align( 2025-12-04T08:51:26.6844707Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align 2025-12-04T08:51:26.6845048Z return torch.ops.torchvision.roi_align( 2025-12-04T08:51:26.6845193Z 2025-12-04T08:51:29.9689501Z cudagraph partition due to non gpu ops 2025-12-04T08:51:29.9689809Z cudagraph partition due to non gpu ops 2025-12-04T08:51:29.9690025Z cudagraph partition due to non gpu ops 2025-12-04T08:51:29.9690279Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:29.9690830Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T08:51:29.9691355Z return self.res5(x) 2025-12-04T08:51:29.9691712Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:51:29.9692163Z out = self.conv1(x) 2025-12-04T08:51:29.9692481Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:29.9692818Z x = F.conv2d( 2025-12-04T08:51:29.9698493Z 2025-12-04T08:51:29.9698777Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:29.9699327Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T08:51:29.9699792Z return self.res5(x) 2025-12-04T08:51:29.9700150Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:51:29.9700567Z out = F.relu_(out) 2025-12-04T08:51:29.9700672Z 2025-12-04T08:51:29.9700799Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:29.9701292Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T08:51:29.9701809Z return self.res5(x) 2025-12-04T08:51:29.9702149Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:51:29.9702511Z out = self.conv2(out) 2025-12-04T08:51:29.9702827Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:29.9703161Z x = F.conv2d( 2025-12-04T08:51:29.9703250Z 2025-12-04T08:51:29.9703359Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:29.9703834Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T08:51:29.9704265Z return self.res5(x) 2025-12-04T08:51:29.9705462Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:51:29.9705826Z out = F.relu_(out) 2025-12-04T08:51:29.9705926Z 2025-12-04T08:51:29.9706023Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:29.9706491Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T08:51:29.9706920Z return self.res5(x) 2025-12-04T08:51:29.9707251Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:51:29.9707595Z out = self.conv3(out) 2025-12-04T08:51:29.9707911Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:29.9708318Z x = F.conv2d( 2025-12-04T08:51:29.9708408Z 2025-12-04T08:51:29.9708514Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:29.9708974Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T08:51:29.9709399Z return self.res5(x) 2025-12-04T08:51:29.9711303Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward 2025-12-04T08:51:29.9716410Z shortcut = self.shortcut(x) 2025-12-04T08:51:29.9716771Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:29.9717108Z x = F.conv2d( 2025-12-04T08:51:29.9717212Z 2025-12-04T08:51:29.9717320Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:29.9717824Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T08:51:29.9718270Z return self.res5(x) 2025-12-04T08:51:29.9718611Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:51:29.9718975Z out = self.conv1(x) 2025-12-04T08:51:29.9719290Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:29.9719609Z x = F.conv2d( 2025-12-04T08:51:29.9719705Z 2025-12-04T08:51:29.9719829Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:29.9720307Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T08:51:29.9720745Z return self.res5(x) 2025-12-04T08:51:29.9721071Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:51:29.9721425Z out = F.relu_(out) 2025-12-04T08:51:29.9721524Z 2025-12-04T08:51:29.9721629Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:29.9722110Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T08:51:29.9722675Z return self.res5(x) 2025-12-04T08:51:29.9723026Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:51:29.9723403Z out = self.conv2(out) 2025-12-04T08:51:29.9723755Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:29.9724093Z x = F.conv2d( 2025-12-04T08:51:29.9724183Z 2025-12-04T08:51:29.9724296Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:29.9724786Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T08:51:29.9725238Z return self.res5(x) 2025-12-04T08:51:29.9725686Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:51:29.9726062Z out = F.relu_(out) 2025-12-04T08:51:29.9726165Z 2025-12-04T08:51:29.9726267Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:29.9726756Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T08:51:29.9727203Z return self.res5(x) 2025-12-04T08:51:29.9727543Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:51:29.9727939Z out = self.conv3(out) 2025-12-04T08:51:29.9728272Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:29.9728615Z x = F.conv2d( 2025-12-04T08:51:29.9728707Z 2025-12-04T08:51:29.9728812Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:29.9729309Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T08:51:29.9729757Z return self.res5(x) 2025-12-04T08:51:29.9730101Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:51:29.9730534Z out = F.relu_(out) 2025-12-04T08:51:29.9730642Z 2025-12-04T08:51:29.9730743Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:29.9731228Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T08:51:29.9731681Z return self.res5(x) 2025-12-04T08:51:29.9732015Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:51:29.9732376Z out = self.conv1(x) 2025-12-04T08:51:29.9732678Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:29.9732991Z x = F.conv2d( 2025-12-04T08:51:29.9733082Z 2025-12-04T08:51:29.9733181Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:29.9733640Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T08:51:29.9734062Z return self.res5(x) 2025-12-04T08:51:29.9734378Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:51:29.9734726Z out = F.relu_(out) 2025-12-04T08:51:29.9734820Z 2025-12-04T08:51:29.9734925Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:29.9735392Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T08:51:29.9735814Z return self.res5(x) 2025-12-04T08:51:29.9736139Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:51:29.9736488Z out = self.conv2(out) 2025-12-04T08:51:29.9736795Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:29.9737115Z x = F.conv2d( 2025-12-04T08:51:29.9737208Z 2025-12-04T08:51:29.9737304Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:29.9737763Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T08:51:29.9738182Z return self.res5(x) 2025-12-04T08:51:29.9738542Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:51:29.9738886Z out = F.relu_(out) 2025-12-04T08:51:29.9738982Z 2025-12-04T08:51:29.9739084Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:29.9739540Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T08:51:29.9739967Z return self.res5(x) 2025-12-04T08:51:29.9740293Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:51:29.9740635Z out = self.conv3(out) 2025-12-04T08:51:29.9740948Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:51:29.9741283Z x = F.conv2d( 2025-12-04T08:51:29.9741368Z 2025-12-04T08:51:29.9741472Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:29.9741928Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T08:51:29.9742350Z return self.res5(x) 2025-12-04T08:51:29.9742676Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:51:29.9743058Z out = F.relu_(out) 2025-12-04T08:51:29.9743153Z 2025-12-04T08:51:39.5932764Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:39.5936041Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 480, in torch_dynamo_resume_in_forward_at_477 2025-12-04T08:51:39.5936742Z predictions = self.box_predictor(box_features.mean(dim=[2, 3])) 2025-12-04T08:51:39.5937183Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 303, in forward 2025-12-04T08:51:39.5937583Z scores = self.cls_score(x) 2025-12-04T08:51:39.5937714Z 2025-12-04T08:51:39.5937860Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:39.5938319Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 480, in torch_dynamo_resume_in_forward_at_477 2025-12-04T08:51:39.5938794Z predictions = self.box_predictor(box_features.mean(dim=[2, 3])) 2025-12-04T08:51:39.5939224Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 304, in forward 2025-12-04T08:51:39.5939590Z proposal_deltas = self.bbox_pred(x) 2025-12-04T08:51:39.5939730Z 2025-12-04T08:51:40.9323246Z cudagraph partition due to non gpu ops 2025-12-04T08:51:40.9327875Z cudagraph partition due to non gpu ops 2025-12-04T08:51:40.9331962Z cudagraph partition due to non gpu ops 2025-12-04T08:51:40.9336040Z cudagraph partition due to non gpu ops 2025-12-04T08:51:40.9340080Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:40.9344331Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 476, in inference 2025-12-04T08:51:40.9344868Z boxes = self.predict_boxes(predictions, proposals) 2025-12-04T08:51:40.9345295Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 542, in predict_boxes 2025-12-04T08:51:40.9345764Z proposal_boxes = cat([p.proposal_boxes.tensor for p in proposals], dim=0) 2025-12-04T08:51:40.9346167Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 72, in cat 2025-12-04T08:51:40.9346491Z return torch.cat(tensors, dim) 2025-12-04T08:51:40.9346625Z 2025-12-04T08:51:40.9346737Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:40.9347136Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 476, in inference 2025-12-04T08:51:40.9348083Z boxes = self.predict_boxes(predictions, proposals) 2025-12-04T08:51:40.9348492Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 543, in predict_boxes 2025-12-04T08:51:40.9348915Z predict_boxes = self.box2box_transform.apply_deltas( 2025-12-04T08:51:40.9349318Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/box_regression.py", line 115, in apply_deltas 2025-12-04T08:51:40.9349706Z pred_boxes = torch.stack((x1, y1, x2, y2), dim=-1) 2025-12-04T08:51:40.9349855Z 2025-12-04T08:51:42.2190262Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:42.2191413Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 137, in fast_rcnn_inference_single_image 2025-12-04T08:51:42.2192307Z valid_mask = torch.isfinite(boxes).all(dim=1) & torch.isfinite(scores).all(dim=1) 2025-12-04T08:51:42.2192525Z 2025-12-04T08:51:42.2192633Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:42.2193095Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 137, in fast_rcnn_inference_single_image 2025-12-04T08:51:42.2193577Z valid_mask = torch.isfinite(boxes).all(dim=1) & torch.isfinite(scores).all(dim=1) 2025-12-04T08:51:42.2193785Z 2025-12-04T08:51:42.2193885Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:42.2194411Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 138, in fast_rcnn_inference_single_image 2025-12-04T08:51:42.2194828Z if not valid_mask.all(): 2025-12-04T08:51:42.2194941Z 2025-12-04T08:51:42.9963521Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:42.9968040Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 146, in torch_dynamo_resume_in_fast_rcnn_inference_single_image_at_138 2025-12-04T08:51:42.9969688Z boxes.clip(image_shape) 2025-12-04T08:51:42.9970232Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip 2025-12-04T08:51:42.9975069Z assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!" 2025-12-04T08:51:42.9976796Z 2025-12-04T08:51:42.9977063Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:42.9977654Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 151, in torch_dynamo_resume_in_fast_rcnn_inference_single_image_at_138 2025-12-04T08:51:42.9978149Z filter_mask = scores > score_thresh # R x K 2025-12-04T08:51:42.9978295Z 2025-12-04T08:51:42.9978395Z cudagraph partition due to non gpu ops 2025-12-04T08:51:42.9978598Z cudagraph partition due to non gpu ops 2025-12-04T08:51:42.9978799Z cudagraph partition due to non gpu ops 2025-12-04T08:51:42.9979000Z cudagraph partition due to non gpu ops 2025-12-04T08:51:42.9979223Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:42.9979726Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 146, in torch_dynamo_resume_in_fast_rcnn_inference_single_image_at_138 2025-12-04T08:51:42.9980193Z boxes.clip(image_shape) 2025-12-04T08:51:42.9980519Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip 2025-12-04T08:51:42.9980879Z self.tensor = torch.stack((x1, y1, x2, y2), dim=-1) 2025-12-04T08:51:42.9981032Z 2025-12-04T08:51:44.2176206Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:44.2180430Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/boxes.py", line 99, in _batched_nms_coordinate_trick 2025-12-04T08:51:44.2184859Z max_coordinate = boxes.max() 2025-12-04T08:51:44.2189377Z 2025-12-04T08:51:44.2191564Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:44.2192454Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/boxes.py", line 101, in _batched_nms_coordinate_trick 2025-12-04T08:51:44.2192873Z boxes_for_nms = boxes + offsets[:, None] 2025-12-04T08:51:44.2193023Z 2025-12-04T08:51:44.9021528Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:44.9023006Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 165, in torch_dynamo_resume_in_fast_rcnn_inference_single_image_at_162 2025-12-04T08:51:44.9023609Z boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep] 2025-12-04T08:51:44.9023805Z 2025-12-04T08:51:44.9023923Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:44.9024766Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 165, in torch_dynamo_resume_in_fast_rcnn_inference_single_image_at_162 2025-12-04T08:51:44.9025343Z boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep] 2025-12-04T08:51:44.9025535Z 2025-12-04T08:51:44.9025636Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:44.9026127Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 165, in torch_dynamo_resume_in_fast_rcnn_inference_single_image_at_162 2025-12-04T08:51:44.9026712Z boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep] 2025-12-04T08:51:44.9026901Z 2025-12-04T08:51:45.7268104Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:45.7272305Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 146, in torch_dynamo_resume_in_fast_rcnn_inference_single_image_at_138 2025-12-04T08:51:45.7273580Z boxes.clip(image_shape) 2025-12-04T08:51:45.7274031Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip 2025-12-04T08:51:45.7274536Z assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!" 2025-12-04T08:51:45.7277715Z 2025-12-04T08:51:45.7277978Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:45.7278549Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 151, in torch_dynamo_resume_in_fast_rcnn_inference_single_image_at_138 2025-12-04T08:51:45.7279062Z filter_mask = scores > score_thresh # R x K 2025-12-04T08:51:45.7279212Z 2025-12-04T08:51:45.7279815Z cudagraph partition due to non gpu ops 2025-12-04T08:51:45.7280115Z cudagraph partition due to non gpu ops 2025-12-04T08:51:45.7280324Z cudagraph partition due to non gpu ops 2025-12-04T08:51:45.7280557Z cudagraph partition due to non gpu ops 2025-12-04T08:51:45.7280803Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:45.7281372Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 146, in torch_dynamo_resume_in_fast_rcnn_inference_single_image_at_138 2025-12-04T08:51:45.7281859Z boxes.clip(image_shape) 2025-12-04T08:51:45.7282340Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip 2025-12-04T08:51:45.7282743Z self.tensor = torch.stack((x1, y1, x2, y2), dim=-1) 2025-12-04T08:51:45.7282902Z 2025-12-04T08:51:46.9182369Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:46.9183014Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/boxes.py", line 99, in _batched_nms_coordinate_trick 2025-12-04T08:51:46.9184827Z max_coordinate = boxes.max() 2025-12-04T08:51:46.9185027Z 2025-12-04T08:51:46.9185241Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:46.9185676Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/boxes.py", line 101, in _batched_nms_coordinate_trick 2025-12-04T08:51:46.9186052Z boxes_for_nms = boxes + offsets[:, None] 2025-12-04T08:51:46.9186520Z 2025-12-04T08:51:48.2044100Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:48.2044699Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 165, in torch_dynamo_resume_in_fast_rcnn_inference_single_image_at_162 2025-12-04T08:51:48.2049341Z boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep] 2025-12-04T08:51:48.2053936Z 2025-12-04T08:51:48.2054229Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:48.2054802Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 165, in torch_dynamo_resume_in_fast_rcnn_inference_single_image_at_162 2025-12-04T08:51:48.2055666Z boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep] 2025-12-04T08:51:48.2055865Z 2025-12-04T08:51:48.2055977Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:48.2056502Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 165, in torch_dynamo_resume_in_fast_rcnn_inference_single_image_at_162 2025-12-04T08:51:48.2057035Z boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep] 2025-12-04T08:51:48.2057221Z 2025-12-04T08:51:49.3126988Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:49.3128573Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 137, in fast_rcnn_inference_single_image 2025-12-04T08:51:49.3129193Z valid_mask = torch.isfinite(boxes).all(dim=1) & torch.isfinite(scores).all(dim=1) 2025-12-04T08:51:49.3129441Z 2025-12-04T08:51:49.3129584Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:49.3130125Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 137, in fast_rcnn_inference_single_image 2025-12-04T08:51:49.3130733Z valid_mask = torch.isfinite(boxes).all(dim=1) & torch.isfinite(scores).all(dim=1) 2025-12-04T08:51:49.3130970Z 2025-12-04T08:51:49.3131095Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:49.3131618Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 138, in fast_rcnn_inference_single_image 2025-12-04T08:51:49.3132124Z if not valid_mask.all(): 2025-12-04T08:51:49.3132256Z 2025-12-04T08:51:51.1798945Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:51.1799568Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 146, in torch_dynamo_resume_in_fast_rcnn_inference_single_image_at_138 2025-12-04T08:51:51.1800089Z boxes.clip(image_shape) 2025-12-04T08:51:51.1800442Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip 2025-12-04T08:51:51.1800968Z assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!" 2025-12-04T08:51:51.1801191Z 2025-12-04T08:51:51.1801306Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:51.1801811Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 151, in torch_dynamo_resume_in_fast_rcnn_inference_single_image_at_138 2025-12-04T08:51:51.1802442Z filter_mask = scores > score_thresh # R x K 2025-12-04T08:51:51.1802602Z 2025-12-04T08:51:51.1802690Z cudagraph partition due to non gpu ops 2025-12-04T08:51:51.1802909Z cudagraph partition due to non gpu ops 2025-12-04T08:51:51.1803106Z cudagraph partition due to non gpu ops 2025-12-04T08:51:51.1803312Z cudagraph partition due to non gpu ops 2025-12-04T08:51:51.1803549Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:51.1804072Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 146, in torch_dynamo_resume_in_fast_rcnn_inference_single_image_at_138 2025-12-04T08:51:51.1804913Z boxes.clip(image_shape) 2025-12-04T08:51:51.1805260Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip 2025-12-04T08:51:51.1805635Z self.tensor = torch.stack((x1, y1, x2, y2), dim=-1) 2025-12-04T08:51:51.1805788Z 2025-12-04T08:51:52.9477627Z cudagraph partition due to non gpu ops 2025-12-04T08:51:52.9481773Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:52.9486973Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess 2025-12-04T08:51:52.9491458Z output_boxes.clip(results.image_size) 2025-12-04T08:51:52.9497146Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip 2025-12-04T08:51:52.9499380Z assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!" 2025-12-04T08:51:52.9504349Z 2025-12-04T08:51:52.9508538Z cudagraph partition due to non gpu ops 2025-12-04T08:51:52.9509442Z cudagraph partition due to non gpu ops 2025-12-04T08:51:52.9509732Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:52.9512555Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess 2025-12-04T08:51:52.9513247Z output_boxes.clip(results.image_size) 2025-12-04T08:51:52.9513614Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip 2025-12-04T08:51:52.9513985Z self.tensor = torch.stack((x1, y1, x2, y2), dim=-1) 2025-12-04T08:51:52.9514148Z 2025-12-04T08:51:52.9514256Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:52.9514692Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 58, in detector_postprocess 2025-12-04T08:51:52.9515104Z results = results[output_boxes.nonempty()] 2025-12-04T08:51:52.9515466Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 212, in nonempty 2025-12-04T08:51:52.9516052Z keep = (widths > threshold) & (heights > threshold) 2025-12-04T08:51:52.9516201Z 2025-12-04T08:51:56.6491271Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:56.6495972Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 58, in detector_postprocess 2025-12-04T08:51:56.6498060Z results = results[output_boxes.nonempty()] 2025-12-04T08:51:56.6498360Z 2025-12-04T08:51:56.6498598Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:56.6499041Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 58, in detector_postprocess 2025-12-04T08:51:56.6499475Z results = results[output_boxes.nonempty()] 2025-12-04T08:51:56.6499620Z 2025-12-04T08:51:56.6500413Z cudagraph partition due to non gpu ops 2025-12-04T08:51:56.6500765Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:56.6501308Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess 2025-12-04T08:51:56.6501767Z output_boxes.clip(results.image_size) 2025-12-04T08:51:56.6502176Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip 2025-12-04T08:51:56.6502646Z assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!" 2025-12-04T08:51:56.6502889Z 2025-12-04T08:51:56.6502972Z cudagraph partition due to non gpu ops 2025-12-04T08:51:56.6503182Z cudagraph partition due to non gpu ops 2025-12-04T08:51:56.6503407Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:56.6503838Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess 2025-12-04T08:51:56.6504238Z output_boxes.clip(results.image_size) 2025-12-04T08:51:56.6504977Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip 2025-12-04T08:51:56.6505344Z self.tensor = torch.stack((x1, y1, x2, y2), dim=-1) 2025-12-04T08:51:56.6505499Z 2025-12-04T08:51:56.6505603Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:56.6506024Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 58, in detector_postprocess 2025-12-04T08:51:56.6506425Z results = results[output_boxes.nonempty()] 2025-12-04T08:51:56.6506769Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 212, in nonempty 2025-12-04T08:51:56.6507190Z keep = (widths > threshold) & (heights > threshold) 2025-12-04T08:51:56.6507337Z 2025-12-04T08:51:59.6201973Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:59.6202852Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 58, in detector_postprocess 2025-12-04T08:51:59.6207380Z results = results[output_boxes.nonempty()] 2025-12-04T08:51:59.6210768Z 2025-12-04T08:51:59.6214642Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:59.6215315Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 58, in detector_postprocess 2025-12-04T08:51:59.6216291Z results = results[output_boxes.nonempty()] 2025-12-04T08:51:59.6220011Z 2025-12-04T08:51:59.6220279Z cudagraph partition due to non gpu ops 2025-12-04T08:51:59.6220549Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:59.6221015Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess 2025-12-04T08:51:59.6221449Z output_boxes.clip(results.image_size) 2025-12-04T08:51:59.6221808Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip 2025-12-04T08:51:59.6222222Z assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!" 2025-12-04T08:51:59.6222434Z 2025-12-04T08:51:59.6222516Z cudagraph partition due to non gpu ops 2025-12-04T08:51:59.6222725Z cudagraph partition due to non gpu ops 2025-12-04T08:51:59.6222947Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:59.6223379Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess 2025-12-04T08:51:59.6223778Z output_boxes.clip(results.image_size) 2025-12-04T08:51:59.6224120Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip 2025-12-04T08:51:59.6224477Z self.tensor = torch.stack((x1, y1, x2, y2), dim=-1) 2025-12-04T08:51:59.6224631Z 2025-12-04T08:51:59.6224729Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:51:59.6225160Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 58, in detector_postprocess 2025-12-04T08:51:59.6225562Z results = results[output_boxes.nonempty()] 2025-12-04T08:51:59.6225909Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 212, in nonempty 2025-12-04T08:51:59.6226274Z keep = (widths > threshold) & (heights > threshold) 2025-12-04T08:51:59.6226419Z 2025-12-04T08:52:13.3885446Z Compilation time (from dynamo_timed): 61.603309266 2025-12-04T08:52:13.3885715Z pass 2025-12-04T08:52:13.3885984Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T08:52:13.3888666Z TIMING: gc:0.04136 entire_frame_compile:61.60331 _recursive_pre_grad_passes:0.02872 _recursive_joint_graph_passes:0.27477 _recursive_post_grad_passes:0.64787 async_compile.wait:15.15413 code_gen:28.48862 inductor_compile:34.54892 backend_compile:44.48261 total_wall_time:61.60331 2025-12-04T08:52:13.3890028Z STATS: call_* op count: 776 | FakeTensorMode.__torch_dispatch__:21722 | FakeTensor.__torch_dispatch__:13685 | ProxyTorchDispatchMode.__torch_dispatch__:6753 | attempt fast:78 | slow no contiguity match:42 | fast is_contiguous:36 2025-12-04T08:52:13.3890618Z Dynamo produced 53 graphs covering 776 ops with 42 graph breaks (6 unique) 2025-12-04T08:52:16.5543566Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-12-04T08:52:16.5544350Z import pynvml # type: ignore[import] 2025-12-04T08:52:18.7557670Z 2025-12-04T08:52:35.1839074Z loading model: 0it [00:00, ?it/s]W1204 08:52:35.182000 5500 site-packages/torch/fx/_symbolic_trace.py:53] is_fx_tracing will return true for both fx.symbolic_trace and torch.export. Please use is_fx_tracing_symbolic_tracing() for specifically fx.symbolic_trace or torch.compiler.is_compiling() for specifically torch.export/compile. 2025-12-04T08:52:38.9738102Z 2025-12-04T08:52:38.9739089Z loading model: 0it [00:20, ?it/s] 2025-12-04T08:52:38.9754504Z cpu eval detectron2_fasterrcnn_r_101_dc5 2025-12-04T08:52:58.4752988Z WARNING:common:fp64 golden ref were not generated for detectron2_fasterrcnn_r_101_dc5. Setting accuracy check to cosine 2025-12-04T08:52:58.5220577Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T08:53:23.8729940Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T08:53:49.6105610Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T08:54:13.9047976Z cudagraph partition due to non gpu ops 2025-12-04T08:54:13.9050926Z cudagraph partition due to non gpu ops 2025-12-04T08:54:13.9051180Z cudagraph partition due to non gpu ops 2025-12-04T08:54:13.9051515Z cudagraph partition due to non gpu ops 2025-12-04T08:54:13.9051724Z cudagraph partition due to non gpu ops 2025-12-04T08:54:13.9051918Z cudagraph partition due to non gpu ops 2025-12-04T08:54:13.9052121Z cudagraph partition due to non gpu ops 2025-12-04T08:54:13.9052323Z cudagraph partition due to non gpu ops 2025-12-04T08:54:13.9052523Z cudagraph partition due to non gpu ops 2025-12-04T08:54:13.9052729Z cudagraph partition due to non gpu ops 2025-12-04T08:54:13.9052934Z cudagraph partition due to non gpu ops 2025-12-04T08:54:13.9053136Z cudagraph partition due to non gpu ops 2025-12-04T08:54:13.9053328Z cudagraph partition due to non gpu ops 2025-12-04T08:54:13.9053528Z cudagraph partition due to non gpu ops 2025-12-04T08:54:13.9053734Z cudagraph partition due to non gpu ops 2025-12-04T08:54:13.9053927Z cudagraph partition due to non gpu ops 2025-12-04T08:54:13.9054126Z cudagraph partition due to non gpu ops 2025-12-04T08:54:13.9054323Z cudagraph partition due to non gpu ops 2025-12-04T08:54:13.9054516Z cudagraph partition due to non gpu ops 2025-12-04T08:54:13.9054734Z cudagraph partition due to non gpu ops 2025-12-04T08:54:13.9054935Z cudagraph partition due to non gpu ops 2025-12-04T08:54:13.9055141Z cudagraph partition due to non gpu ops 2025-12-04T08:54:13.9055349Z cudagraph partition due to non gpu ops 2025-12-04T08:54:13.9055547Z cudagraph partition due to non gpu ops 2025-12-04T08:54:13.9055743Z cudagraph partition due to non gpu ops 2025-12-04T08:54:13.9055941Z cudagraph partition due to non gpu ops 2025-12-04T08:54:13.9056197Z cudagraph partition due to non gpu ops 2025-12-04T08:54:13.9056392Z cudagraph partition due to non gpu ops 2025-12-04T08:54:13.9056581Z cudagraph partition due to non gpu ops 2025-12-04T08:54:13.9056780Z cudagraph partition due to non gpu ops 2025-12-04T08:54:13.9056978Z cudagraph partition due to non gpu ops 2025-12-04T08:54:13.9057170Z cudagraph partition due to non gpu ops 2025-12-04T08:54:13.9057368Z cudagraph partition due to non gpu ops 2025-12-04T08:54:13.9057965Z cudagraph partition due to non gpu ops 2025-12-04T08:54:13.9058176Z cudagraph partition due to non gpu ops 2025-12-04T08:54:13.9058410Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9058928Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9059392Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9059782Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 445, in forward 2025-12-04T08:54:13.9060158Z x = self.stem(x) 2025-12-04T08:54:13.9060524Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 356, in forward 2025-12-04T08:54:13.9060948Z x = self.conv1(x) 2025-12-04T08:54:13.9061261Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9061601Z x = F.conv2d( 2025-12-04T08:54:13.9061701Z 2025-12-04T08:54:13.9061811Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9062266Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9062693Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9063143Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 445, in forward 2025-12-04T08:54:13.9063494Z x = self.stem(x) 2025-12-04T08:54:13.9063815Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 357, in forward 2025-12-04T08:54:13.9064166Z x = F.relu_(x) 2025-12-04T08:54:13.9064260Z 2025-12-04T08:54:13.9064365Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9064822Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9065247Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9065615Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 445, in forward 2025-12-04T08:54:13.9065969Z x = self.stem(x) 2025-12-04T08:54:13.9066292Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 358, in forward 2025-12-04T08:54:13.9066697Z x = F.max_pool2d(x, kernel_size=3, stride=2, padding=1) 2025-12-04T08:54:13.9066861Z 2025-12-04T08:54:13.9066962Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9067407Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9067826Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9068202Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9068550Z x = stage(x) 2025-12-04T08:54:13.9068872Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:54:13.9069220Z out = self.conv1(x) 2025-12-04T08:54:13.9069536Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9069867Z x = F.conv2d( 2025-12-04T08:54:13.9069955Z 2025-12-04T08:54:13.9070054Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9070498Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9070924Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9071496Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9071848Z x = stage(x) 2025-12-04T08:54:13.9072172Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:54:13.9072567Z out = F.relu_(out) 2025-12-04T08:54:13.9072669Z 2025-12-04T08:54:13.9072775Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9073223Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9073652Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9074026Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9074391Z x = stage(x) 2025-12-04T08:54:13.9074717Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:54:13.9075078Z out = self.conv2(out) 2025-12-04T08:54:13.9075401Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9075722Z x = F.conv2d( 2025-12-04T08:54:13.9075819Z 2025-12-04T08:54:13.9075918Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9076363Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9076823Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9077190Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9077549Z x = stage(x) 2025-12-04T08:54:13.9077873Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:54:13.9078225Z out = F.relu_(out) 2025-12-04T08:54:13.9078334Z 2025-12-04T08:54:13.9078441Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9078939Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9079391Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9079768Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9080136Z x = stage(x) 2025-12-04T08:54:13.9080472Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:54:13.9080853Z out = self.conv3(out) 2025-12-04T08:54:13.9081186Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9081531Z x = F.conv2d( 2025-12-04T08:54:13.9081624Z 2025-12-04T08:54:13.9081737Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9082318Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9082814Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9083220Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9083608Z x = stage(x) 2025-12-04T08:54:13.9083951Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward 2025-12-04T08:54:13.9084323Z shortcut = self.shortcut(x) 2025-12-04T08:54:13.9084666Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9084999Z x = F.conv2d( 2025-12-04T08:54:13.9085104Z 2025-12-04T08:54:13.9085210Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9085710Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9086154Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9086524Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9086883Z x = stage(x) 2025-12-04T08:54:13.9087208Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:54:13.9087566Z out = self.conv1(x) 2025-12-04T08:54:13.9087877Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9088234Z x = F.conv2d( 2025-12-04T08:54:13.9088327Z 2025-12-04T08:54:13.9088444Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9088907Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9089353Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9089738Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9090098Z x = stage(x) 2025-12-04T08:54:13.9090444Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:54:13.9090803Z out = F.relu_(out) 2025-12-04T08:54:13.9090902Z 2025-12-04T08:54:13.9091013Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9091477Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9091906Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9092281Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9092642Z x = stage(x) 2025-12-04T08:54:13.9092962Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:54:13.9093326Z out = self.conv2(out) 2025-12-04T08:54:13.9093653Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9093990Z x = F.conv2d( 2025-12-04T08:54:13.9094081Z 2025-12-04T08:54:13.9094181Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9094643Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9095085Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9095452Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9095808Z x = stage(x) 2025-12-04T08:54:13.9096135Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:54:13.9096496Z out = F.relu_(out) 2025-12-04T08:54:13.9096593Z 2025-12-04T08:54:13.9096692Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9097143Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9097569Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9097941Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9098294Z x = stage(x) 2025-12-04T08:54:13.9098620Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:54:13.9098983Z out = self.conv3(out) 2025-12-04T08:54:13.9099420Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9099776Z x = F.conv2d( 2025-12-04T08:54:13.9099871Z 2025-12-04T08:54:13.9099974Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9100442Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9100922Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9101306Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9101702Z x = stage(x) 2025-12-04T08:54:13.9102029Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:54:13.9102380Z out = F.relu_(out) 2025-12-04T08:54:13.9102485Z 2025-12-04T08:54:13.9102589Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9103045Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9103478Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9103891Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9104286Z x = stage(x) 2025-12-04T08:54:13.9104614Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:54:13.9104975Z out = self.conv1(x) 2025-12-04T08:54:13.9105300Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9105637Z x = F.conv2d( 2025-12-04T08:54:13.9105727Z 2025-12-04T08:54:13.9105829Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9106285Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9106731Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9107108Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9107459Z x = stage(x) 2025-12-04T08:54:13.9107798Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:54:13.9108160Z out = F.relu_(out) 2025-12-04T08:54:13.9108257Z 2025-12-04T08:54:13.9108368Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9108825Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9109261Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9109643Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9109994Z x = stage(x) 2025-12-04T08:54:13.9110326Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:54:13.9110737Z out = self.conv2(out) 2025-12-04T08:54:13.9111075Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9111415Z x = F.conv2d( 2025-12-04T08:54:13.9111513Z 2025-12-04T08:54:13.9111620Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9112093Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9112544Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9112962Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9113339Z x = stage(x) 2025-12-04T08:54:13.9113672Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:54:13.9114024Z out = F.relu_(out) 2025-12-04T08:54:13.9114130Z 2025-12-04T08:54:13.9114235Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9114696Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9115135Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9115525Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9116116Z x = stage(x) 2025-12-04T08:54:13.9116458Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:54:13.9116819Z out = self.conv3(out) 2025-12-04T08:54:13.9117150Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9117488Z x = F.conv2d( 2025-12-04T08:54:13.9117578Z 2025-12-04T08:54:13.9117689Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9118224Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9118680Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9119076Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9119452Z x = stage(x) 2025-12-04T08:54:13.9119787Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:54:13.9120171Z out = F.relu_(out) 2025-12-04T08:54:13.9120276Z 2025-12-04T08:54:13.9120389Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9120895Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9121348Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9121745Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9122150Z x = stage(x) 2025-12-04T08:54:13.9122597Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:54:13.9123016Z out = self.conv1(x) 2025-12-04T08:54:13.9123367Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9123699Z x = F.conv2d( 2025-12-04T08:54:13.9123798Z 2025-12-04T08:54:13.9123904Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9124372Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9124818Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9125190Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9125553Z x = stage(x) 2025-12-04T08:54:13.9125888Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:54:13.9126260Z out = F.relu_(out) 2025-12-04T08:54:13.9126361Z 2025-12-04T08:54:13.9126463Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9126922Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9127423Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9127798Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9128159Z x = stage(x) 2025-12-04T08:54:13.9128490Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:54:13.9128864Z out = self.conv2(out) 2025-12-04T08:54:13.9129188Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9129529Z x = F.conv2d( 2025-12-04T08:54:13.9129631Z 2025-12-04T08:54:13.9129767Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9130217Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9130639Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9131002Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9131349Z x = stage(x) 2025-12-04T08:54:13.9131664Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:54:13.9132036Z out = F.relu_(out) 2025-12-04T08:54:13.9132139Z 2025-12-04T08:54:13.9132239Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9132681Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9133102Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9133468Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9133813Z x = stage(x) 2025-12-04T08:54:13.9134125Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:54:13.9134481Z out = self.conv3(out) 2025-12-04T08:54:13.9134799Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9135128Z x = F.conv2d( 2025-12-04T08:54:13.9135215Z 2025-12-04T08:54:13.9135313Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9135757Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9136183Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9136549Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9136888Z x = stage(x) 2025-12-04T08:54:13.9137209Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward 2025-12-04T08:54:13.9137569Z shortcut = self.shortcut(x) 2025-12-04T08:54:13.9137890Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9138220Z x = F.conv2d( 2025-12-04T08:54:13.9138313Z 2025-12-04T08:54:13.9138416Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9138860Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9139278Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9139641Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9140129Z x = stage(x) 2025-12-04T08:54:13.9140455Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:54:13.9140853Z out = self.conv1(x) 2025-12-04T08:54:13.9141171Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9141499Z x = F.conv2d( 2025-12-04T08:54:13.9141588Z 2025-12-04T08:54:13.9141690Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9142143Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9142568Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9142932Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9143298Z x = stage(x) 2025-12-04T08:54:13.9143619Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:54:13.9143993Z out = F.relu_(out) 2025-12-04T08:54:13.9144090Z 2025-12-04T08:54:13.9144186Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9144627Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9145043Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9145419Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9145754Z x = stage(x) 2025-12-04T08:54:13.9146074Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:54:13.9146428Z out = self.conv2(out) 2025-12-04T08:54:13.9146744Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9147067Z x = F.conv2d( 2025-12-04T08:54:13.9147160Z 2025-12-04T08:54:13.9147259Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9147699Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9148124Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9148476Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9148814Z x = stage(x) 2025-12-04T08:54:13.9149125Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:54:13.9149458Z out = F.relu_(out) 2025-12-04T08:54:13.9149561Z 2025-12-04T08:54:13.9149657Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9150102Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9150525Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9150883Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9151228Z x = stage(x) 2025-12-04T08:54:13.9151543Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:54:13.9151888Z out = self.conv3(out) 2025-12-04T08:54:13.9152204Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9152525Z x = F.conv2d( 2025-12-04T08:54:13.9152612Z 2025-12-04T08:54:13.9152717Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9153152Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9153574Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9153987Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9154327Z x = stage(x) 2025-12-04T08:54:13.9154649Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:54:13.9155001Z out = F.relu_(out) 2025-12-04T08:54:13.9155096Z 2025-12-04T08:54:13.9155203Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9155645Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9156071Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9156455Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9156807Z x = stage(x) 2025-12-04T08:54:13.9157128Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:54:13.9157485Z out = self.conv1(x) 2025-12-04T08:54:13.9157802Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9158127Z x = F.conv2d( 2025-12-04T08:54:13.9158243Z 2025-12-04T08:54:13.9158342Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9158792Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9159226Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9159587Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9159937Z x = stage(x) 2025-12-04T08:54:13.9160259Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:54:13.9160604Z out = F.relu_(out) 2025-12-04T08:54:13.9160709Z 2025-12-04T08:54:13.9161059Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9161508Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9161935Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9162354Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9162723Z x = stage(x) 2025-12-04T08:54:13.9163054Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:54:13.9163424Z out = self.conv2(out) 2025-12-04T08:54:13.9163744Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9164085Z x = F.conv2d( 2025-12-04T08:54:13.9164177Z 2025-12-04T08:54:13.9164294Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9164735Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9165167Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9165539Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9165888Z x = stage(x) 2025-12-04T08:54:13.9166205Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:54:13.9166560Z out = F.relu_(out) 2025-12-04T08:54:13.9166656Z 2025-12-04T08:54:13.9166762Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9167807Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9168234Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9168605Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9168960Z x = stage(x) 2025-12-04T08:54:13.9169282Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:54:13.9169644Z out = self.conv3(out) 2025-12-04T08:54:13.9169970Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9170304Z x = F.conv2d( 2025-12-04T08:54:13.9170410Z 2025-12-04T08:54:13.9170510Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9170958Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9171388Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9171753Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9172093Z x = stage(x) 2025-12-04T08:54:13.9172411Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:54:13.9172808Z out = F.relu_(out) 2025-12-04T08:54:13.9172905Z 2025-12-04T08:54:13.9173003Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9173449Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9173891Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9174245Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9174576Z x = stage(x) 2025-12-04T08:54:13.9174886Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:54:13.9175228Z out = self.conv1(x) 2025-12-04T08:54:13.9175526Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9175849Z x = F.conv2d( 2025-12-04T08:54:13.9175942Z 2025-12-04T08:54:13.9176039Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9176474Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9176884Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9177241Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9177580Z x = stage(x) 2025-12-04T08:54:13.9177893Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:54:13.9178226Z out = F.relu_(out) 2025-12-04T08:54:13.9178326Z 2025-12-04T08:54:13.9178424Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9178856Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9179265Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9179621Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9179959Z x = stage(x) 2025-12-04T08:54:13.9180268Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:54:13.9180603Z out = self.conv2(out) 2025-12-04T08:54:13.9180943Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9181268Z x = F.conv2d( 2025-12-04T08:54:13.9181356Z 2025-12-04T08:54:13.9181456Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9181900Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9182321Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9182681Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9183019Z x = stage(x) 2025-12-04T08:54:13.9183334Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:54:13.9183692Z out = F.relu_(out) 2025-12-04T08:54:13.9183785Z 2025-12-04T08:54:13.9183889Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9184317Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9184744Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9185107Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9185469Z x = stage(x) 2025-12-04T08:54:13.9185787Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:54:13.9186142Z out = self.conv3(out) 2025-12-04T08:54:13.9186464Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9186789Z x = F.conv2d( 2025-12-04T08:54:13.9186884Z 2025-12-04T08:54:13.9186984Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9187439Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9187866Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9188226Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9188574Z x = stage(x) 2025-12-04T08:54:13.9188897Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:54:13.9189241Z out = F.relu_(out) 2025-12-04T08:54:13.9189345Z 2025-12-04T08:54:13.9189443Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9189890Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9190318Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9190683Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9191023Z x = stage(x) 2025-12-04T08:54:13.9191339Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:54:13.9191684Z out = self.conv1(x) 2025-12-04T08:54:13.9192001Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9192332Z x = F.conv2d( 2025-12-04T08:54:13.9192420Z 2025-12-04T08:54:13.9192528Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9192969Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9193400Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9193772Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9194155Z x = stage(x) 2025-12-04T08:54:13.9194471Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:54:13.9194819Z out = F.relu_(out) 2025-12-04T08:54:13.9194914Z 2025-12-04T08:54:13.9195019Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9195456Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9195879Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9196242Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9196609Z x = stage(x) 2025-12-04T08:54:13.9196918Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:54:13.9197273Z out = self.conv2(out) 2025-12-04T08:54:13.9197596Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9197913Z x = F.conv2d( 2025-12-04T08:54:13.9198011Z 2025-12-04T08:54:13.9198112Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9198552Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9198994Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9199353Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9199705Z x = stage(x) 2025-12-04T08:54:13.9200023Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:54:13.9200372Z out = F.relu_(out) 2025-12-04T08:54:13.9200468Z 2025-12-04T08:54:13.9200568Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9201013Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9201439Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9201795Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9202293Z x = stage(x) 2025-12-04T08:54:13.9202622Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:54:13.9202973Z out = self.conv3(out) 2025-12-04T08:54:13.9203292Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9203634Z x = F.conv2d( 2025-12-04T08:54:13.9203728Z 2025-12-04T08:54:13.9203840Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9204303Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9204752Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9205111Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9205460Z x = stage(x) 2025-12-04T08:54:13.9205769Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward 2025-12-04T08:54:13.9206131Z shortcut = self.shortcut(x) 2025-12-04T08:54:13.9206457Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9206782Z x = F.conv2d( 2025-12-04T08:54:13.9206869Z 2025-12-04T08:54:13.9206967Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9207465Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9207889Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9208246Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9208597Z x = stage(x) 2025-12-04T08:54:13.9208915Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:54:13.9209288Z out = self.conv1(x) 2025-12-04T08:54:13.9209595Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9209953Z x = F.conv2d( 2025-12-04T08:54:13.9210039Z 2025-12-04T08:54:13.9210146Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9210597Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9211020Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9211388Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9211741Z x = stage(x) 2025-12-04T08:54:13.9212075Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:54:13.9212429Z out = F.relu_(out) 2025-12-04T08:54:13.9212527Z 2025-12-04T08:54:13.9212631Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9213081Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9213504Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9213905Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9214246Z x = stage(x) 2025-12-04T08:54:13.9214548Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:54:13.9214893Z out = self.conv2(out) 2025-12-04T08:54:13.9215201Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9215521Z x = F.conv2d( 2025-12-04T08:54:13.9215743Z 2025-12-04T08:54:13.9215846Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9216294Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9216719Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9217082Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9217422Z x = stage(x) 2025-12-04T08:54:13.9217738Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:54:13.9218136Z out = F.relu_(out) 2025-12-04T08:54:13.9218231Z 2025-12-04T08:54:13.9218328Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9218783Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9219220Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9219591Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9219938Z x = stage(x) 2025-12-04T08:54:13.9220269Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:54:13.9220638Z out = self.conv3(out) 2025-12-04T08:54:13.9221029Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9221368Z x = F.conv2d( 2025-12-04T08:54:13.9221468Z 2025-12-04T08:54:13.9221569Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9222031Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9222471Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9222840Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9223228Z x = stage(x) 2025-12-04T08:54:13.9223557Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:54:13.9223913Z out = F.relu_(out) 2025-12-04T08:54:13.9224018Z 2025-12-04T08:54:13.9224121Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9224578Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9225008Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9225386Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9225774Z x = stage(x) 2025-12-04T08:54:13.9226102Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:54:13.9226447Z out = self.conv1(x) 2025-12-04T08:54:13.9226762Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9227091Z x = F.conv2d( 2025-12-04T08:54:13.9227178Z 2025-12-04T08:54:13.9227282Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9227724Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9228150Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9228512Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9228857Z x = stage(x) 2025-12-04T08:54:13.9229174Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:54:13.9229524Z out = F.relu_(out) 2025-12-04T08:54:13.9229618Z 2025-12-04T08:54:13.9229723Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9230160Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9230588Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9230965Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9231326Z x = stage(x) 2025-12-04T08:54:13.9231674Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:54:13.9232034Z out = self.conv2(out) 2025-12-04T08:54:13.9232356Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9232676Z x = F.conv2d( 2025-12-04T08:54:13.9232773Z 2025-12-04T08:54:13.9232874Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9233318Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9233754Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9234150Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9234502Z x = stage(x) 2025-12-04T08:54:13.9234826Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:54:13.9235172Z out = F.relu_(out) 2025-12-04T08:54:13.9235276Z 2025-12-04T08:54:13.9235379Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9235823Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9236261Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9236647Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9237060Z x = stage(x) 2025-12-04T08:54:13.9237400Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:54:13.9237758Z out = self.conv3(out) 2025-12-04T08:54:13.9238069Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9238393Z x = F.conv2d( 2025-12-04T08:54:13.9238488Z 2025-12-04T08:54:13.9238586Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9239056Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9239478Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9239841Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9240193Z x = stage(x) 2025-12-04T08:54:13.9240509Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:54:13.9240855Z out = F.relu_(out) 2025-12-04T08:54:13.9240956Z 2025-12-04T08:54:13.9241053Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9241498Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9241914Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9242367Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9242762Z x = stage(x) 2025-12-04T08:54:13.9243117Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:54:13.9243515Z out = self.conv1(x) 2025-12-04T08:54:13.9243841Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9244192Z x = F.conv2d( 2025-12-04T08:54:13.9244280Z 2025-12-04T08:54:13.9244383Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9244832Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9245259Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9245626Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9245971Z x = stage(x) 2025-12-04T08:54:13.9246295Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:54:13.9246649Z out = F.relu_(out) 2025-12-04T08:54:13.9246747Z 2025-12-04T08:54:13.9246852Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9247297Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9247777Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9248134Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9248465Z x = stage(x) 2025-12-04T08:54:13.9248777Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:54:13.9249123Z out = self.conv2(out) 2025-12-04T08:54:13.9249432Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9249745Z x = F.conv2d( 2025-12-04T08:54:13.9249837Z 2025-12-04T08:54:13.9249954Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9250384Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9250801Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9251151Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9251489Z x = stage(x) 2025-12-04T08:54:13.9251800Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:54:13.9252168Z out = F.relu_(out) 2025-12-04T08:54:13.9252274Z 2025-12-04T08:54:13.9252373Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9252816Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9253239Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9253594Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9253937Z x = stage(x) 2025-12-04T08:54:13.9254255Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:54:13.9254601Z out = self.conv3(out) 2025-12-04T08:54:13.9254920Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9255246Z x = F.conv2d( 2025-12-04T08:54:13.9255335Z 2025-12-04T08:54:13.9255440Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9255871Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9256292Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9256652Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9256995Z x = stage(x) 2025-12-04T08:54:13.9257303Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:54:13.9257647Z out = F.relu_(out) 2025-12-04T08:54:13.9257742Z 2025-12-04T08:54:13.9257845Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9258274Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9258701Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9259105Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9259445Z x = stage(x) 2025-12-04T08:54:13.9259752Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:54:13.9260101Z out = self.conv1(x) 2025-12-04T08:54:13.9260408Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9260758Z x = F.conv2d( 2025-12-04T08:54:13.9260856Z 2025-12-04T08:54:13.9260954Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9261393Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9261810Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9262157Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9262497Z x = stage(x) 2025-12-04T08:54:13.9262809Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:54:13.9263171Z out = F.relu_(out) 2025-12-04T08:54:13.9263263Z 2025-12-04T08:54:13.9263358Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9263795Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9264208Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9264553Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9264894Z x = stage(x) 2025-12-04T08:54:13.9265228Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:54:13.9265571Z out = self.conv2(out) 2025-12-04T08:54:13.9265872Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9266194Z x = F.conv2d( 2025-12-04T08:54:13.9266279Z 2025-12-04T08:54:13.9266385Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9266825Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9267235Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9267591Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9267930Z x = stage(x) 2025-12-04T08:54:13.9268238Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:54:13.9268596Z out = F.relu_(out) 2025-12-04T08:54:13.9268689Z 2025-12-04T08:54:13.9268786Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9269221Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9269643Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9270004Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9270341Z x = stage(x) 2025-12-04T08:54:13.9270652Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:54:13.9270999Z out = self.conv3(out) 2025-12-04T08:54:13.9271308Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9271624Z x = F.conv2d( 2025-12-04T08:54:13.9271716Z 2025-12-04T08:54:13.9271813Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9272251Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9272663Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9273022Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9273362Z x = stage(x) 2025-12-04T08:54:13.9273726Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:54:13.9274064Z out = F.relu_(out) 2025-12-04T08:54:13.9274168Z 2025-12-04T08:54:13.9274264Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9274704Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9275115Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9275470Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9275832Z x = stage(x) 2025-12-04T08:54:13.9276150Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:54:13.9276490Z out = self.conv1(x) 2025-12-04T08:54:13.9276800Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9277120Z x = F.conv2d( 2025-12-04T08:54:13.9277202Z 2025-12-04T08:54:13.9277307Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9277737Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9278174Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9278535Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9278869Z x = stage(x) 2025-12-04T08:54:13.9279186Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:54:13.9279531Z out = F.relu_(out) 2025-12-04T08:54:13.9279624Z 2025-12-04T08:54:13.9279730Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9280166Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9280586Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9280942Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9281289Z x = stage(x) 2025-12-04T08:54:13.9281598Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:54:13.9281945Z out = self.conv2(out) 2025-12-04T08:54:13.9282442Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9282878Z x = F.conv2d( 2025-12-04T08:54:13.9283246Z 2025-12-04T08:54:13.9283374Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9283929Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9284447Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9284887Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9285346Z x = stage(x) 2025-12-04T08:54:13.9285759Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:54:13.9286179Z out = F.relu_(out) 2025-12-04T08:54:13.9286337Z 2025-12-04T08:54:13.9286465Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9287020Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9287554Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9288059Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9288495Z x = stage(x) 2025-12-04T08:54:13.9304447Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:54:13.9304993Z out = self.conv3(out) 2025-12-04T08:54:13.9305355Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9305697Z x = F.conv2d( 2025-12-04T08:54:13.9305794Z 2025-12-04T08:54:13.9305912Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9306402Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9306961Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9307363Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9307728Z x = stage(x) 2025-12-04T08:54:13.9308060Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:54:13.9308431Z out = F.relu_(out) 2025-12-04T08:54:13.9308544Z 2025-12-04T08:54:13.9308649Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9309163Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9309594Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9309973Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9310342Z x = stage(x) 2025-12-04T08:54:13.9310663Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:54:13.9311028Z out = self.conv1(x) 2025-12-04T08:54:13.9311358Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9311697Z x = F.conv2d( 2025-12-04T08:54:13.9311790Z 2025-12-04T08:54:13.9311895Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9312367Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9312804Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9313181Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9313548Z x = stage(x) 2025-12-04T08:54:13.9313868Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:54:13.9314221Z out = F.relu_(out) 2025-12-04T08:54:13.9314319Z 2025-12-04T08:54:13.9314424Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9314877Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9315319Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9315850Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9316210Z x = stage(x) 2025-12-04T08:54:13.9316545Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:54:13.9316917Z out = self.conv2(out) 2025-12-04T08:54:13.9317254Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9317615Z x = F.conv2d( 2025-12-04T08:54:13.9317716Z 2025-12-04T08:54:13.9317948Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9318415Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9318850Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9319228Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9319591Z x = stage(x) 2025-12-04T08:54:13.9319915Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:54:13.9320275Z out = F.relu_(out) 2025-12-04T08:54:13.9320385Z 2025-12-04T08:54:13.9320515Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9320981Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9321416Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9321796Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9322159Z x = stage(x) 2025-12-04T08:54:13.9322560Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:54:13.9322990Z out = self.conv3(out) 2025-12-04T08:54:13.9323328Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9323679Z x = F.conv2d( 2025-12-04T08:54:13.9323768Z 2025-12-04T08:54:13.9323870Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9324325Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9324760Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9325153Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9325522Z x = stage(x) 2025-12-04T08:54:13.9325852Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:54:13.9326216Z out = F.relu_(out) 2025-12-04T08:54:13.9326317Z 2025-12-04T08:54:13.9326426Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9326874Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9327306Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9327680Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9328032Z x = stage(x) 2025-12-04T08:54:13.9328362Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:54:13.9328721Z out = self.conv1(x) 2025-12-04T08:54:13.9329043Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9329378Z x = F.conv2d( 2025-12-04T08:54:13.9329475Z 2025-12-04T08:54:13.9329577Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9330038Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9330471Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9330847Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9331209Z x = stage(x) 2025-12-04T08:54:13.9331535Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:54:13.9331923Z out = F.relu_(out) 2025-12-04T08:54:13.9332029Z 2025-12-04T08:54:13.9332129Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9332584Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9333021Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9333385Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9333740Z x = stage(x) 2025-12-04T08:54:13.9334064Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:54:13.9334435Z out = self.conv2(out) 2025-12-04T08:54:13.9334766Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9335100Z x = F.conv2d( 2025-12-04T08:54:13.9335192Z 2025-12-04T08:54:13.9335301Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9335752Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9336195Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9336589Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9336949Z x = stage(x) 2025-12-04T08:54:13.9337272Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:54:13.9337636Z out = F.relu_(out) 2025-12-04T08:54:13.9337734Z 2025-12-04T08:54:13.9337842Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9338298Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9338739Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9339115Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9339471Z x = stage(x) 2025-12-04T08:54:13.9339790Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:54:13.9340152Z out = self.conv3(out) 2025-12-04T08:54:13.9340478Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9340807Z x = F.conv2d( 2025-12-04T08:54:13.9340907Z 2025-12-04T08:54:13.9341007Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9341465Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9341910Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9342282Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9342642Z x = stage(x) 2025-12-04T08:54:13.9342972Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:54:13.9343340Z out = F.relu_(out) 2025-12-04T08:54:13.9343436Z 2025-12-04T08:54:13.9343535Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9343979Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9344410Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9344771Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9345120Z x = stage(x) 2025-12-04T08:54:13.9345488Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:54:13.9345857Z out = self.conv1(x) 2025-12-04T08:54:13.9346174Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9346517Z x = F.conv2d( 2025-12-04T08:54:13.9346607Z 2025-12-04T08:54:13.9346716Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9347166Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9347622Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9347994Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9348352Z x = stage(x) 2025-12-04T08:54:13.9348676Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:54:13.9349039Z out = F.relu_(out) 2025-12-04T08:54:13.9349137Z 2025-12-04T08:54:13.9349245Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9349701Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9350161Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9350524Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9350871Z x = stage(x) 2025-12-04T08:54:13.9351184Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:54:13.9351538Z out = self.conv2(out) 2025-12-04T08:54:13.9351858Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9352188Z x = F.conv2d( 2025-12-04T08:54:13.9352275Z 2025-12-04T08:54:13.9352374Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9352820Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9353250Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9353618Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9353962Z x = stage(x) 2025-12-04T08:54:13.9354290Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:54:13.9354654Z out = F.relu_(out) 2025-12-04T08:54:13.9354753Z 2025-12-04T08:54:13.9354853Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9355312Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9355751Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9356126Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9356481Z x = stage(x) 2025-12-04T08:54:13.9356800Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:54:13.9357154Z out = self.conv3(out) 2025-12-04T08:54:13.9357464Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9357800Z x = F.conv2d( 2025-12-04T08:54:13.9357896Z 2025-12-04T08:54:13.9357998Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9358483Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9358915Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9359293Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9359677Z x = stage(x) 2025-12-04T08:54:13.9360007Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:54:13.9360356Z out = F.relu_(out) 2025-12-04T08:54:13.9360460Z 2025-12-04T08:54:13.9360560Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9361018Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9361473Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9361852Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9362297Z x = stage(x) 2025-12-04T08:54:13.9362651Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:54:13.9363020Z out = self.conv1(x) 2025-12-04T08:54:13.9363363Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9363728Z x = F.conv2d( 2025-12-04T08:54:13.9363818Z 2025-12-04T08:54:13.9363918Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9364385Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9364825Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9365191Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9365547Z x = stage(x) 2025-12-04T08:54:13.9365876Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:54:13.9366233Z out = F.relu_(out) 2025-12-04T08:54:13.9366331Z 2025-12-04T08:54:13.9366431Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9366887Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9367322Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9367691Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9368052Z x = stage(x) 2025-12-04T08:54:13.9368376Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:54:13.9368742Z out = self.conv2(out) 2025-12-04T08:54:13.9369062Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9369401Z x = F.conv2d( 2025-12-04T08:54:13.9369490Z 2025-12-04T08:54:13.9369597Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9370057Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9370490Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9370870Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9371228Z x = stage(x) 2025-12-04T08:54:13.9371547Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:54:13.9371908Z out = F.relu_(out) 2025-12-04T08:54:13.9372012Z 2025-12-04T08:54:13.9372150Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9372609Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9373042Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9373428Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9373777Z x = stage(x) 2025-12-04T08:54:13.9374090Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:54:13.9374444Z out = self.conv3(out) 2025-12-04T08:54:13.9374789Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9375111Z x = F.conv2d( 2025-12-04T08:54:13.9375195Z 2025-12-04T08:54:13.9375291Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9375728Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9376139Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9376498Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9376858Z x = stage(x) 2025-12-04T08:54:13.9377174Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:54:13.9377525Z out = F.relu_(out) 2025-12-04T08:54:13.9377621Z 2025-12-04T08:54:13.9377719Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9378169Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9378582Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9378948Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9379284Z x = stage(x) 2025-12-04T08:54:13.9379599Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:54:13.9379950Z out = self.conv1(x) 2025-12-04T08:54:13.9380254Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9380577Z x = F.conv2d( 2025-12-04T08:54:13.9380668Z 2025-12-04T08:54:13.9380766Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9381207Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9381624Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9381990Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9382344Z x = stage(x) 2025-12-04T08:54:13.9382654Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:54:13.9382993Z out = F.relu_(out) 2025-12-04T08:54:13.9383094Z 2025-12-04T08:54:13.9383192Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9383632Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9384052Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9384406Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9384762Z x = stage(x) 2025-12-04T08:54:13.9385104Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:54:13.9385442Z out = self.conv2(out) 2025-12-04T08:54:13.9385751Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9386073Z x = F.conv2d( 2025-12-04T08:54:13.9386159Z 2025-12-04T08:54:13.9386266Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9386707Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9387133Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9387503Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9387852Z x = stage(x) 2025-12-04T08:54:13.9388162Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:54:13.9388503Z out = F.relu_(out) 2025-12-04T08:54:13.9388595Z 2025-12-04T08:54:13.9388697Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9389122Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9389534Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9389915Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9390251Z x = stage(x) 2025-12-04T08:54:13.9390552Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:54:13.9390892Z out = self.conv3(out) 2025-12-04T08:54:13.9391201Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9391510Z x = F.conv2d( 2025-12-04T08:54:13.9391601Z 2025-12-04T08:54:13.9391699Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9392127Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9392536Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9392880Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9393217Z x = stage(x) 2025-12-04T08:54:13.9393526Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:54:13.9393855Z out = F.relu_(out) 2025-12-04T08:54:13.9393957Z 2025-12-04T08:54:13.9394053Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9394477Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9394891Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9395234Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9395566Z x = stage(x) 2025-12-04T08:54:13.9395870Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:54:13.9396211Z out = self.conv1(x) 2025-12-04T08:54:13.9396505Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9396819Z x = F.conv2d( 2025-12-04T08:54:13.9396903Z 2025-12-04T08:54:13.9397005Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9397427Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9397842Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9398217Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9398555Z x = stage(x) 2025-12-04T08:54:13.9398858Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:54:13.9399201Z out = F.relu_(out) 2025-12-04T08:54:13.9399294Z 2025-12-04T08:54:13.9399396Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9399823Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9400267Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9400632Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9400982Z x = stage(x) 2025-12-04T08:54:13.9401298Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:54:13.9401652Z out = self.conv2(out) 2025-12-04T08:54:13.9401971Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9402381Z x = F.conv2d( 2025-12-04T08:54:13.9402512Z 2025-12-04T08:54:13.9402615Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9403091Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9403569Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9403970Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9404354Z x = stage(x) 2025-12-04T08:54:13.9404702Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:54:13.9405053Z out = F.relu_(out) 2025-12-04T08:54:13.9405149Z 2025-12-04T08:54:13.9405246Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9405686Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9406111Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9406471Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9406809Z x = stage(x) 2025-12-04T08:54:13.9407123Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:54:13.9407477Z out = self.conv3(out) 2025-12-04T08:54:13.9407784Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9408110Z x = F.conv2d( 2025-12-04T08:54:13.9408196Z 2025-12-04T08:54:13.9408302Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9408746Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9409164Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9409529Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9409881Z x = stage(x) 2025-12-04T08:54:13.9410190Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:54:13.9410543Z out = F.relu_(out) 2025-12-04T08:54:13.9410646Z 2025-12-04T08:54:13.9410744Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9411218Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9411633Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9411996Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9412344Z x = stage(x) 2025-12-04T08:54:13.9412667Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:54:13.9413010Z out = self.conv1(x) 2025-12-04T08:54:13.9413318Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9413661Z x = F.conv2d( 2025-12-04T08:54:13.9413747Z 2025-12-04T08:54:13.9413847Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9414295Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9414722Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9415087Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9415427Z x = stage(x) 2025-12-04T08:54:13.9415929Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:54:13.9416342Z out = F.relu_(out) 2025-12-04T08:54:13.9416442Z 2025-12-04T08:54:13.9416544Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9417008Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9417449Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9417827Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9418192Z x = stage(x) 2025-12-04T08:54:13.9418518Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:54:13.9418880Z out = self.conv2(out) 2025-12-04T08:54:13.9419212Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9419545Z x = F.conv2d( 2025-12-04T08:54:13.9419645Z 2025-12-04T08:54:13.9419747Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9420205Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9420643Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9421022Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9421377Z x = stage(x) 2025-12-04T08:54:13.9421707Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:54:13.9422063Z out = F.relu_(out) 2025-12-04T08:54:13.9422167Z 2025-12-04T08:54:13.9422267Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9422725Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9423158Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9423528Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9423886Z x = stage(x) 2025-12-04T08:54:13.9424210Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:54:13.9424567Z out = self.conv3(out) 2025-12-04T08:54:13.9424957Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9425290Z x = F.conv2d( 2025-12-04T08:54:13.9425388Z 2025-12-04T08:54:13.9425489Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9425949Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9426391Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9426761Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9427122Z x = stage(x) 2025-12-04T08:54:13.9427488Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:54:13.9427840Z out = F.relu_(out) 2025-12-04T08:54:13.9427944Z 2025-12-04T08:54:13.9428047Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9428508Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9428944Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9429312Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9429725Z x = stage(x) 2025-12-04T08:54:13.9430037Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:54:13.9430380Z out = self.conv1(x) 2025-12-04T08:54:13.9430678Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9431008Z x = F.conv2d( 2025-12-04T08:54:13.9431099Z 2025-12-04T08:54:13.9431207Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9431648Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9432078Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9432443Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9432782Z x = stage(x) 2025-12-04T08:54:13.9433086Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:54:13.9433432Z out = F.relu_(out) 2025-12-04T08:54:13.9433526Z 2025-12-04T08:54:13.9433627Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9434065Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9434471Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9434832Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9435171Z x = stage(x) 2025-12-04T08:54:13.9435475Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:54:13.9435824Z out = self.conv2(out) 2025-12-04T08:54:13.9436139Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9436459Z x = F.conv2d( 2025-12-04T08:54:13.9436545Z 2025-12-04T08:54:13.9436641Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9437079Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9437502Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9437890Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9438230Z x = stage(x) 2025-12-04T08:54:13.9438544Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:54:13.9438883Z out = F.relu_(out) 2025-12-04T08:54:13.9438976Z 2025-12-04T08:54:13.9439071Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9439504Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9439917Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9440269Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9440631Z x = stage(x) 2025-12-04T08:54:13.9440943Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:54:13.9441288Z out = self.conv3(out) 2025-12-04T08:54:13.9441590Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9441912Z x = F.conv2d( 2025-12-04T08:54:13.9442004Z 2025-12-04T08:54:13.9442099Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9442622Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9443061Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9443447Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9443821Z x = stage(x) 2025-12-04T08:54:13.9444153Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:54:13.9444528Z out = F.relu_(out) 2025-12-04T08:54:13.9444636Z 2025-12-04T08:54:13.9444738Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9445187Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9445618Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9445982Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9446321Z x = stage(x) 2025-12-04T08:54:13.9446640Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:54:13.9446987Z out = self.conv1(x) 2025-12-04T08:54:13.9447303Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9447633Z x = F.conv2d( 2025-12-04T08:54:13.9447719Z 2025-12-04T08:54:13.9447819Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9448268Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9448695Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9449067Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9449411Z x = stage(x) 2025-12-04T08:54:13.9449731Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:54:13.9450083Z out = F.relu_(out) 2025-12-04T08:54:13.9450179Z 2025-12-04T08:54:13.9450283Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9450726Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9451194Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9451567Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9451908Z x = stage(x) 2025-12-04T08:54:13.9452227Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:54:13.9452585Z out = self.conv2(out) 2025-12-04T08:54:13.9452905Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9453223Z x = F.conv2d( 2025-12-04T08:54:13.9453318Z 2025-12-04T08:54:13.9453417Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9453882Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9454305Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9454664Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9455010Z x = stage(x) 2025-12-04T08:54:13.9455330Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:54:13.9455676Z out = F.relu_(out) 2025-12-04T08:54:13.9455833Z 2025-12-04T08:54:13.9455931Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9456378Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9456799Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9457158Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9457503Z x = stage(x) 2025-12-04T08:54:13.9457822Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:54:13.9458164Z out = self.conv3(out) 2025-12-04T08:54:13.9458486Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9458804Z x = F.conv2d( 2025-12-04T08:54:13.9458892Z 2025-12-04T08:54:13.9458998Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9459423Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9459837Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9460188Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9460526Z x = stage(x) 2025-12-04T08:54:13.9460826Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:54:13.9461169Z out = F.relu_(out) 2025-12-04T08:54:13.9461261Z 2025-12-04T08:54:13.9461363Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9461787Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9462202Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9462554Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9462890Z x = stage(x) 2025-12-04T08:54:13.9463194Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:54:13.9463538Z out = self.conv1(x) 2025-12-04T08:54:13.9463840Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9464148Z x = F.conv2d( 2025-12-04T08:54:13.9464274Z 2025-12-04T08:54:13.9464373Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9464811Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9465236Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9465603Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9465964Z x = stage(x) 2025-12-04T08:54:13.9466287Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:54:13.9466656Z out = F.relu_(out) 2025-12-04T08:54:13.9466766Z 2025-12-04T08:54:13.9466862Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9467299Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9467720Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9468074Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9468423Z x = stage(x) 2025-12-04T08:54:13.9468745Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:54:13.9469119Z out = self.conv2(out) 2025-12-04T08:54:13.9469431Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9469758Z x = F.conv2d( 2025-12-04T08:54:13.9469844Z 2025-12-04T08:54:13.9469952Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9470392Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9470821Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9471189Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9471531Z x = stage(x) 2025-12-04T08:54:13.9471843Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:54:13.9472197Z out = F.relu_(out) 2025-12-04T08:54:13.9472292Z 2025-12-04T08:54:13.9472400Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9472848Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9473268Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9473634Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9473984Z x = stage(x) 2025-12-04T08:54:13.9474295Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:54:13.9474648Z out = self.conv3(out) 2025-12-04T08:54:13.9474967Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9475298Z x = F.conv2d( 2025-12-04T08:54:13.9475384Z 2025-12-04T08:54:13.9475482Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9475930Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9476356Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9476719Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9477060Z x = stage(x) 2025-12-04T08:54:13.9477412Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:54:13.9477768Z out = F.relu_(out) 2025-12-04T08:54:13.9477864Z 2025-12-04T08:54:13.9477961Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9478411Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9478838Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9479205Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9479547Z x = stage(x) 2025-12-04T08:54:13.9479881Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:54:13.9480233Z out = self.conv1(x) 2025-12-04T08:54:13.9480542Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9480866Z x = F.conv2d( 2025-12-04T08:54:13.9480959Z 2025-12-04T08:54:13.9481056Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9481501Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9481943Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9482430Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9482833Z x = stage(x) 2025-12-04T08:54:13.9483226Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:54:13.9483584Z out = F.relu_(out) 2025-12-04T08:54:13.9483691Z 2025-12-04T08:54:13.9483792Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9484258Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9484695Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9485072Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9485427Z x = stage(x) 2025-12-04T08:54:13.9485753Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:54:13.9486104Z out = self.conv2(out) 2025-12-04T08:54:13.9486430Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9486768Z x = F.conv2d( 2025-12-04T08:54:13.9486855Z 2025-12-04T08:54:13.9486954Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9487410Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9487844Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9488215Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9488561Z x = stage(x) 2025-12-04T08:54:13.9488890Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:54:13.9489244Z out = F.relu_(out) 2025-12-04T08:54:13.9489339Z 2025-12-04T08:54:13.9489444Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9489890Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9490335Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9490740Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9491070Z x = stage(x) 2025-12-04T08:54:13.9491377Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:54:13.9491718Z out = self.conv3(out) 2025-12-04T08:54:13.9492025Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9492334Z x = F.conv2d( 2025-12-04T08:54:13.9492428Z 2025-12-04T08:54:13.9492523Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9492954Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9493396Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9493747Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9494089Z x = stage(x) 2025-12-04T08:54:13.9494400Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:54:13.9494732Z out = F.relu_(out) 2025-12-04T08:54:13.9494833Z 2025-12-04T08:54:13.9494928Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9495375Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9495788Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9496137Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9496481Z x = stage(x) 2025-12-04T08:54:13.9496790Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:54:13.9497122Z out = self.conv1(x) 2025-12-04T08:54:13.9497428Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9497746Z x = F.conv2d( 2025-12-04T08:54:13.9497831Z 2025-12-04T08:54:13.9497935Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9498361Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9498772Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9499126Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9499463Z x = stage(x) 2025-12-04T08:54:13.9499767Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:54:13.9500107Z out = F.relu_(out) 2025-12-04T08:54:13.9500201Z 2025-12-04T08:54:13.9500305Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9500730Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9501149Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9501508Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9501847Z x = stage(x) 2025-12-04T08:54:13.9502152Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:54:13.9502501Z out = self.conv2(out) 2025-12-04T08:54:13.9502815Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9503126Z x = F.conv2d( 2025-12-04T08:54:13.9503220Z 2025-12-04T08:54:13.9503317Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9503784Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9504204Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9504552Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9504894Z x = stage(x) 2025-12-04T08:54:13.9505204Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:54:13.9505547Z out = F.relu_(out) 2025-12-04T08:54:13.9505639Z 2025-12-04T08:54:13.9505736Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9506196Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9506615Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9506967Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9507305Z x = stage(x) 2025-12-04T08:54:13.9507614Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:54:13.9507978Z out = self.conv3(out) 2025-12-04T08:54:13.9508279Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9508598Z x = F.conv2d( 2025-12-04T08:54:13.9508684Z 2025-12-04T08:54:13.9508789Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9509223Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9509629Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9509991Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9510331Z x = stage(x) 2025-12-04T08:54:13.9510631Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:54:13.9510970Z out = F.relu_(out) 2025-12-04T08:54:13.9511074Z 2025-12-04T08:54:13.9511172Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9511606Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9512008Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9512366Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9512704Z x = stage(x) 2025-12-04T08:54:13.9513009Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:54:13.9513351Z out = self.conv1(x) 2025-12-04T08:54:13.9513653Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9513969Z x = F.conv2d( 2025-12-04T08:54:13.9514053Z 2025-12-04T08:54:13.9514148Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9514581Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9514996Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9515356Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9515872Z x = stage(x) 2025-12-04T08:54:13.9516196Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:54:13.9516613Z out = F.relu_(out) 2025-12-04T08:54:13.9516714Z 2025-12-04T08:54:13.9516812Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9517257Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9517679Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9518045Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9518382Z x = stage(x) 2025-12-04T08:54:13.9518700Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:54:13.9519090Z out = self.conv2(out) 2025-12-04T08:54:13.9519402Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9519731Z x = F.conv2d( 2025-12-04T08:54:13.9519826Z 2025-12-04T08:54:13.9519927Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9520374Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9520793Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9521157Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9521534Z x = stage(x) 2025-12-04T08:54:13.9521851Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:54:13.9522238Z out = F.relu_(out) 2025-12-04T08:54:13.9522361Z 2025-12-04T08:54:13.9522465Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9522986Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9523426Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9523798Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9524149Z x = stage(x) 2025-12-04T08:54:13.9524465Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:54:13.9524814Z out = self.conv3(out) 2025-12-04T08:54:13.9525132Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9525459Z x = F.conv2d( 2025-12-04T08:54:13.9525545Z 2025-12-04T08:54:13.9525654Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9526090Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9526517Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9526881Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9527217Z x = stage(x) 2025-12-04T08:54:13.9527537Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:54:13.9527889Z out = F.relu_(out) 2025-12-04T08:54:13.9527982Z 2025-12-04T08:54:13.9528088Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9528522Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9528945Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9529309Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9529652Z x = stage(x) 2025-12-04T08:54:13.9530003Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:54:13.9530355Z out = self.conv1(x) 2025-12-04T08:54:13.9530665Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9530987Z x = F.conv2d( 2025-12-04T08:54:13.9531081Z 2025-12-04T08:54:13.9531182Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9531633Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9532056Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9532432Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9532779Z x = stage(x) 2025-12-04T08:54:13.9533100Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:54:13.9533444Z out = F.relu_(out) 2025-12-04T08:54:13.9533549Z 2025-12-04T08:54:13.9533646Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9534091Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9534539Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9534902Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9535260Z x = stage(x) 2025-12-04T08:54:13.9535587Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:54:13.9535950Z out = self.conv2(out) 2025-12-04T08:54:13.9536274Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9536609Z x = F.conv2d( 2025-12-04T08:54:13.9536700Z 2025-12-04T08:54:13.9536809Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9537265Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9537710Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9538088Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9538450Z x = stage(x) 2025-12-04T08:54:13.9538775Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:54:13.9539141Z out = F.relu_(out) 2025-12-04T08:54:13.9539242Z 2025-12-04T08:54:13.9539351Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9539812Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9540253Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9540631Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9541148Z x = stage(x) 2025-12-04T08:54:13.9541480Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:54:13.9541848Z out = self.conv3(out) 2025-12-04T08:54:13.9542176Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9542512Z x = F.conv2d( 2025-12-04T08:54:13.9542604Z 2025-12-04T08:54:13.9542704Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9543228Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9543674Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9544043Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9544401Z x = stage(x) 2025-12-04T08:54:13.9544728Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:54:13.9545093Z out = F.relu_(out) 2025-12-04T08:54:13.9545192Z 2025-12-04T08:54:13.9545292Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9545746Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9546207Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9546578Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9546927Z x = stage(x) 2025-12-04T08:54:13.9547250Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:54:13.9547607Z out = self.conv1(x) 2025-12-04T08:54:13.9547920Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9548276Z x = F.conv2d( 2025-12-04T08:54:13.9548365Z 2025-12-04T08:54:13.9548484Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9548921Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9549331Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9549686Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9550025Z x = stage(x) 2025-12-04T08:54:13.9550331Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:54:13.9550674Z out = F.relu_(out) 2025-12-04T08:54:13.9550773Z 2025-12-04T08:54:13.9550867Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9551300Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9551716Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9552073Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9552419Z x = stage(x) 2025-12-04T08:54:13.9552732Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:54:13.9553074Z out = self.conv2(out) 2025-12-04T08:54:13.9553389Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9553708Z x = F.conv2d( 2025-12-04T08:54:13.9553794Z 2025-12-04T08:54:13.9553890Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9554326Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9554742Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9555095Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9555432Z x = stage(x) 2025-12-04T08:54:13.9555760Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:54:13.9556110Z out = F.relu_(out) 2025-12-04T08:54:13.9556205Z 2025-12-04T08:54:13.9556303Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9556783Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9557216Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9557577Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9557917Z x = stage(x) 2025-12-04T08:54:13.9558230Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:54:13.9558582Z out = self.conv3(out) 2025-12-04T08:54:13.9558897Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9559230Z x = F.conv2d( 2025-12-04T08:54:13.9559323Z 2025-12-04T08:54:13.9559422Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9559869Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9560290Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9560659Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9561023Z x = stage(x) 2025-12-04T08:54:13.9561338Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:54:13.9561679Z out = F.relu_(out) 2025-12-04T08:54:13.9561781Z 2025-12-04T08:54:13.9561875Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9562374Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9562812Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9563195Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9563563Z x = stage(x) 2025-12-04T08:54:13.9563909Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:54:13.9564284Z out = self.conv1(x) 2025-12-04T08:54:13.9564611Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9564990Z x = F.conv2d( 2025-12-04T08:54:13.9565077Z 2025-12-04T08:54:13.9565181Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9565624Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9566058Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9566436Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9566786Z x = stage(x) 2025-12-04T08:54:13.9567115Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:54:13.9567474Z out = F.relu_(out) 2025-12-04T08:54:13.9567573Z 2025-12-04T08:54:13.9567682Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9568138Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9568581Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9568957Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9569321Z x = stage(x) 2025-12-04T08:54:13.9569646Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:54:13.9570047Z out = self.conv2(out) 2025-12-04T08:54:13.9570377Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9570707Z x = F.conv2d( 2025-12-04T08:54:13.9570803Z 2025-12-04T08:54:13.9570905Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9571365Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9571799Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9572167Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9572547Z x = stage(x) 2025-12-04T08:54:13.9572873Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:54:13.9573223Z out = F.relu_(out) 2025-12-04T08:54:13.9573327Z 2025-12-04T08:54:13.9573430Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9573882Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9574314Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9574698Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9575057Z x = stage(x) 2025-12-04T08:54:13.9575380Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:54:13.9575743Z out = self.conv3(out) 2025-12-04T08:54:13.9576067Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9576398Z x = F.conv2d( 2025-12-04T08:54:13.9576487Z 2025-12-04T08:54:13.9576596Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9577045Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9577482Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9577849Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9578205Z x = stage(x) 2025-12-04T08:54:13.9578523Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:54:13.9578889Z out = F.relu_(out) 2025-12-04T08:54:13.9578983Z 2025-12-04T08:54:13.9579092Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9579535Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9579953Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9580313Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9580657Z x = stage(x) 2025-12-04T08:54:13.9580965Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:54:13.9581316Z out = self.conv1(x) 2025-12-04T08:54:13.9581628Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9581950Z x = F.conv2d( 2025-12-04T08:54:13.9582037Z 2025-12-04T08:54:13.9582134Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9582581Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9583005Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9583394Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9583744Z x = stage(x) 2025-12-04T08:54:13.9584063Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:54:13.9584415Z out = F.relu_(out) 2025-12-04T08:54:13.9584512Z 2025-12-04T08:54:13.9584609Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9585055Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9585482Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9585879Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9586226Z x = stage(x) 2025-12-04T08:54:13.9586558Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:54:13.9586929Z out = self.conv2(out) 2025-12-04T08:54:13.9587239Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9587572Z x = F.conv2d( 2025-12-04T08:54:13.9587667Z 2025-12-04T08:54:13.9587799Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9588243Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9588662Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9589032Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9589394Z x = stage(x) 2025-12-04T08:54:13.9589714Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:54:13.9590078Z out = F.relu_(out) 2025-12-04T08:54:13.9590184Z 2025-12-04T08:54:13.9590293Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9590742Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9591167Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9591536Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9591885Z x = stage(x) 2025-12-04T08:54:13.9592203Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:54:13.9592551Z out = self.conv3(out) 2025-12-04T08:54:13.9592868Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9593199Z x = F.conv2d( 2025-12-04T08:54:13.9593289Z 2025-12-04T08:54:13.9593387Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9593833Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9594256Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9594626Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9594976Z x = stage(x) 2025-12-04T08:54:13.9595303Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:54:13.9595675Z out = F.relu_(out) 2025-12-04T08:54:13.9595770Z 2025-12-04T08:54:13.9595873Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9596344Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9596774Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9597145Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9597502Z x = stage(x) 2025-12-04T08:54:13.9597838Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:54:13.9598208Z out = self.conv1(x) 2025-12-04T08:54:13.9598537Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9598878Z x = F.conv2d( 2025-12-04T08:54:13.9598998Z 2025-12-04T08:54:13.9599101Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9599570Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9600018Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9600424Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9600808Z x = stage(x) 2025-12-04T08:54:13.9601157Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:54:13.9601555Z out = F.relu_(out) 2025-12-04T08:54:13.9601669Z 2025-12-04T08:54:13.9601777Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9602464Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9602949Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9603352Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9603718Z x = stage(x) 2025-12-04T08:54:13.9604056Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:54:13.9604128Z out = self.conv2(out) 2025-12-04T08:54:13.9604351Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9604425Z x = F.conv2d( 2025-12-04T08:54:13.9604429Z 2025-12-04T08:54:13.9604532Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9604844Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9604930Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9605172Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9605243Z x = stage(x) 2025-12-04T08:54:13.9605490Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:54:13.9605564Z out = F.relu_(out) 2025-12-04T08:54:13.9605567Z 2025-12-04T08:54:13.9605668Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9605971Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9606060Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9606296Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9606358Z x = stage(x) 2025-12-04T08:54:13.9606605Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:54:13.9606672Z out = self.conv3(out) 2025-12-04T08:54:13.9606972Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9607036Z x = F.conv2d( 2025-12-04T08:54:13.9607039Z 2025-12-04T08:54:13.9607142Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9607456Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9607539Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9607787Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9607847Z x = stage(x) 2025-12-04T08:54:13.9608086Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward 2025-12-04T08:54:13.9608191Z shortcut = self.shortcut(x) 2025-12-04T08:54:13.9608414Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9608478Z x = F.conv2d( 2025-12-04T08:54:13.9608482Z 2025-12-04T08:54:13.9608591Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9608900Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9608989Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9609258Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9609321Z x = stage(x) 2025-12-04T08:54:13.9609566Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:54:13.9609635Z out = self.conv1(x) 2025-12-04T08:54:13.9609862Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9609923Z x = F.conv2d( 2025-12-04T08:54:13.9609927Z 2025-12-04T08:54:13.9610033Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9610341Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9610423Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9610661Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9610730Z x = stage(x) 2025-12-04T08:54:13.9610967Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:54:13.9611038Z out = F.relu_(out) 2025-12-04T08:54:13.9611043Z 2025-12-04T08:54:13.9611143Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9611448Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9611536Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9611773Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9611839Z x = stage(x) 2025-12-04T08:54:13.9612076Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:54:13.9612145Z out = self.conv2(out) 2025-12-04T08:54:13.9612370Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9612432Z x = F.conv2d( 2025-12-04T08:54:13.9612435Z 2025-12-04T08:54:13.9612537Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9612849Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9612969Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9613221Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9613281Z x = stage(x) 2025-12-04T08:54:13.9613523Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:54:13.9613596Z out = F.relu_(out) 2025-12-04T08:54:13.9613599Z 2025-12-04T08:54:13.9613701Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9614014Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9614121Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9614364Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9614432Z x = stage(x) 2025-12-04T08:54:13.9614682Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:54:13.9614749Z out = self.conv3(out) 2025-12-04T08:54:13.9614979Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9615040Z x = F.conv2d( 2025-12-04T08:54:13.9615062Z 2025-12-04T08:54:13.9615171Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9615477Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9616950Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9617221Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9617286Z x = stage(x) 2025-12-04T08:54:13.9617529Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:54:13.9617604Z out = F.relu_(out) 2025-12-04T08:54:13.9617608Z 2025-12-04T08:54:13.9617713Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9618031Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9618115Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9618357Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9618430Z x = stage(x) 2025-12-04T08:54:13.9618670Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:54:13.9618749Z out = self.conv1(x) 2025-12-04T08:54:13.9618971Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9619034Z x = F.conv2d( 2025-12-04T08:54:13.9619037Z 2025-12-04T08:54:13.9619149Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9619456Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9619550Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9619786Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9619847Z x = stage(x) 2025-12-04T08:54:13.9620095Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:54:13.9620161Z out = F.relu_(out) 2025-12-04T08:54:13.9620164Z 2025-12-04T08:54:13.9620266Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9620657Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9620740Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9620989Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9621051Z x = stage(x) 2025-12-04T08:54:13.9621292Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:54:13.9621368Z out = self.conv2(out) 2025-12-04T08:54:13.9621589Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9621690Z x = F.conv2d( 2025-12-04T08:54:13.9621706Z 2025-12-04T08:54:13.9621812Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9622122Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9622213Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9622454Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9622515Z x = stage(x) 2025-12-04T08:54:13.9622775Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:54:13.9622863Z out = F.relu_(out) 2025-12-04T08:54:13.9622866Z 2025-12-04T08:54:13.9622975Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9623273Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9623355Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9623602Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9623661Z x = stage(x) 2025-12-04T08:54:13.9623899Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:54:13.9623971Z out = self.conv3(out) 2025-12-04T08:54:13.9624187Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:13.9624256Z x = F.conv2d( 2025-12-04T08:54:13.9624259Z 2025-12-04T08:54:13.9624359Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:13.9624657Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:54:13.9624746Z features = self.backbone(images.tensor) 2025-12-04T08:54:13.9624983Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:54:13.9625050Z x = stage(x) 2025-12-04T08:54:13.9625289Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:54:13.9625351Z out = F.relu_(out) 2025-12-04T08:54:13.9625354Z 2025-12-04T08:54:24.1125080Z cudagraph partition due to non gpu ops 2025-12-04T08:54:24.1125381Z cudagraph partition due to non gpu ops 2025-12-04T08:54:24.1125627Z cudagraph partition due to non gpu ops 2025-12-04T08:54:24.1125832Z cudagraph partition due to non gpu ops 2025-12-04T08:54:24.1126034Z cudagraph partition due to non gpu ops 2025-12-04T08:54:24.1126230Z cudagraph partition due to non gpu ops 2025-12-04T08:54:24.1126461Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:24.1126932Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward 2025-12-04T08:54:24.1127392Z pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features) 2025-12-04T08:54:24.1128220Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 174, in forward 2025-12-04T08:54:24.1128607Z t = self.conv(x) 2025-12-04T08:54:24.1128926Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:24.1129264Z x = F.conv2d( 2025-12-04T08:54:24.1129364Z 2025-12-04T08:54:24.1129496Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:24.1129923Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward 2025-12-04T08:54:24.1130361Z pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features) 2025-12-04T08:54:24.1131030Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 174, in forward 2025-12-04T08:54:24.1131406Z t = self.conv(x) 2025-12-04T08:54:24.1131714Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 148, in forward 2025-12-04T08:54:24.1132059Z x = self.activation(x) 2025-12-04T08:54:24.1132178Z 2025-12-04T08:54:24.1132282Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:24.1132692Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward 2025-12-04T08:54:24.1133171Z pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features) 2025-12-04T08:54:24.1133612Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 175, in forward 2025-12-04T08:54:24.1134033Z pred_objectness_logits.append(self.objectness_logits(t)) 2025-12-04T08:54:24.1134200Z 2025-12-04T08:54:24.1134307Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:24.1134710Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward 2025-12-04T08:54:24.1135150Z pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features) 2025-12-04T08:54:24.1135587Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 176, in forward 2025-12-04T08:54:24.1135983Z pred_anchor_deltas.append(self.anchor_deltas(t)) 2025-12-04T08:54:24.1136132Z 2025-12-04T08:54:24.1136230Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:24.1136633Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 452, in forward 2025-12-04T08:54:24.1137030Z anchors = self.anchor_generator(features) 2025-12-04T08:54:24.1137407Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward 2025-12-04T08:54:24.1137854Z anchors_over_all_feature_maps = self._grid_anchors(grid_sizes) # pyre-ignore 2025-12-04T08:54:24.1138310Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 175, in _grid_anchors 2025-12-04T08:54:24.1138741Z shifts = torch.stack((shift_x, shift_y, shift_x, shift_y), dim=1) 2025-12-04T08:54:24.1138922Z 2025-12-04T08:54:24.1139019Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:24.1139415Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 456, in forward 2025-12-04T08:54:24.1139787Z pred_objectness_logits = [ 2025-12-04T08:54:24.1140157Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 458, in 2025-12-04T08:54:24.1140531Z score.permute(0, 2, 3, 1).flatten(1) 2025-12-04T08:54:24.1140665Z 2025-12-04T08:54:24.1140770Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:24.1141163Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 461, in forward 2025-12-04T08:54:24.1141570Z pred_anchor_deltas = [ 2025-12-04T08:54:24.1141924Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 465, in 2025-12-04T08:54:24.1142298Z .flatten(1, -2) 2025-12-04T08:54:24.1142392Z 2025-12-04T08:54:24.1142495Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:24.1142880Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 452, in forward 2025-12-04T08:54:24.1143262Z anchors = self.anchor_generator(features) 2025-12-04T08:54:24.1143628Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward 2025-12-04T08:54:24.1144121Z anchors_over_all_feature_maps = self._grid_anchors(grid_sizes) # pyre-ignore 2025-12-04T08:54:24.1144565Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 177, in _grid_anchors 2025-12-04T08:54:24.1145022Z anchors.append((shifts.view(-1, 1, 4) + base_anchors.view(1, -1, 4)).reshape(-1, 4)) 2025-12-04T08:54:24.1145231Z 2025-12-04T08:54:29.6200128Z cudagraph partition due to non gpu ops 2025-12-04T08:54:29.6206132Z cudagraph partition due to non gpu ops 2025-12-04T08:54:29.6208200Z cudagraph partition due to non gpu ops 2025-12-04T08:54:29.6208992Z cudagraph partition due to non gpu ops 2025-12-04T08:54:29.6211167Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:29.6211784Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 97, in convert_boxes_to_pooler_format 2025-12-04T08:54:29.6214607Z sizes = shapes_to_tensor([x.__len__() for x in box_lists]) 2025-12-04T08:54:29.6215038Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 39, in shapes_to_tensor 2025-12-04T08:54:29.6215417Z return torch.as_tensor(x, device=device) 2025-12-04T08:54:29.6215803Z 2025-12-04T08:54:29.6215998Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:29.6220661Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 95, in convert_boxes_to_pooler_format 2025-12-04T08:54:29.6222918Z boxes = torch.cat([x.tensor for x in box_lists], dim=0) 2025-12-04T08:54:29.6223276Z 2025-12-04T08:54:30.2740118Z cudagraph partition due to non gpu ops 2025-12-04T08:54:30.2740589Z cudagraph partition due to non gpu ops 2025-12-04T08:54:30.2740859Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:30.2741407Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 69, in torch_dynamo_resume_in__convert_boxes_to_pooler_format_at_66 2025-12-04T08:54:30.2741923Z return cat([indices[:, None], boxes], dim=1) 2025-12-04T08:54:30.2742284Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 72, in cat 2025-12-04T08:54:30.2742643Z return torch.cat(tensors, dim) 2025-12-04T08:54:30.2742773Z 2025-12-04T08:54:30.8343290Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:30.8348708Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 246, in torch_dynamo_resume_in_forward_at_243 2025-12-04T08:54:30.8350396Z return self.level_poolers[0](x[0], pooler_fmt_boxes) 2025-12-04T08:54:30.8350787Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward 2025-12-04T08:54:30.8351130Z return roi_align( 2025-12-04T08:54:30.8351467Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align 2025-12-04T08:54:30.8351839Z return torch.ops.torchvision.roi_align( 2025-12-04T08:54:30.8351982Z 2025-12-04T08:54:30.8352089Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:30.8352863Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 246, in torch_dynamo_resume_in_forward_at_243 2025-12-04T08:54:30.8353308Z return self.level_poolers[0](x[0], pooler_fmt_boxes) 2025-12-04T08:54:30.8353677Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward 2025-12-04T08:54:30.8354002Z return roi_align( 2025-12-04T08:54:30.8354318Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align 2025-12-04T08:54:30.8354678Z return torch.ops.torchvision.roi_align( 2025-12-04T08:54:30.8354814Z 2025-12-04T08:54:33.9373772Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:33.9374825Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 799, in torch_dynamo_resume_in__forward_box_at_798 2025-12-04T08:54:33.9375403Z box_features = self.box_head(box_features) 2025-12-04T08:54:33.9375883Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/box_head.py", line 96, in forward 2025-12-04T08:54:33.9376303Z x = layer(x) 2025-12-04T08:54:33.9376419Z 2025-12-04T08:54:33.9376543Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:33.9377110Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 799, in torch_dynamo_resume_in__forward_box_at_798 2025-12-04T08:54:33.9377683Z box_features = self.box_head(box_features) 2025-12-04T08:54:33.9378132Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/box_head.py", line 96, in forward 2025-12-04T08:54:33.9378507Z x = layer(x) 2025-12-04T08:54:33.9378595Z 2025-12-04T08:54:33.9378698Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:33.9379140Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 799, in torch_dynamo_resume_in__forward_box_at_798 2025-12-04T08:54:33.9379574Z box_features = self.box_head(box_features) 2025-12-04T08:54:33.9379938Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/box_head.py", line 96, in forward 2025-12-04T08:54:33.9380284Z x = layer(x) 2025-12-04T08:54:33.9380369Z 2025-12-04T08:54:33.9380466Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:33.9380915Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 799, in torch_dynamo_resume_in__forward_box_at_798 2025-12-04T08:54:33.9381341Z box_features = self.box_head(box_features) 2025-12-04T08:54:33.9381701Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/box_head.py", line 96, in forward 2025-12-04T08:54:33.9382035Z x = layer(x) 2025-12-04T08:54:33.9382123Z 2025-12-04T08:54:33.9382220Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:33.9382662Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 800, in torch_dynamo_resume_in__forward_box_at_798 2025-12-04T08:54:33.9383097Z predictions = self.box_predictor(box_features) 2025-12-04T08:54:33.9383473Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 303, in forward 2025-12-04T08:54:33.9383832Z scores = self.cls_score(x) 2025-12-04T08:54:33.9383944Z 2025-12-04T08:54:33.9384045Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:33.9384483Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 800, in torch_dynamo_resume_in__forward_box_at_798 2025-12-04T08:54:33.9384919Z predictions = self.box_predictor(box_features) 2025-12-04T08:54:33.9385296Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 304, in forward 2025-12-04T08:54:33.9385742Z proposal_deltas = self.bbox_pred(x) 2025-12-04T08:54:33.9385872Z 2025-12-04T08:54:37.0008507Z cudagraph partition due to non gpu ops 2025-12-04T08:54:37.0008987Z cudagraph partition due to non gpu ops 2025-12-04T08:54:37.0009306Z cudagraph partition due to non gpu ops 2025-12-04T08:54:37.0009552Z cudagraph partition due to non gpu ops 2025-12-04T08:54:37.0009904Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:37.0010450Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 476, in inference 2025-12-04T08:54:37.0010902Z boxes = self.predict_boxes(predictions, proposals) 2025-12-04T08:54:37.0011341Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 542, in predict_boxes 2025-12-04T08:54:37.0012169Z proposal_boxes = cat([p.proposal_boxes.tensor for p in proposals], dim=0) 2025-12-04T08:54:37.0012633Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 72, in cat 2025-12-04T08:54:37.0012979Z return torch.cat(tensors, dim) 2025-12-04T08:54:37.0013113Z 2025-12-04T08:54:37.0013222Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:37.0013638Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 476, in inference 2025-12-04T08:54:37.0014132Z boxes = self.predict_boxes(predictions, proposals) 2025-12-04T08:54:37.0014543Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 543, in predict_boxes 2025-12-04T08:54:37.0014956Z predict_boxes = self.box2box_transform.apply_deltas( 2025-12-04T08:54:37.0015365Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/box_regression.py", line 115, in apply_deltas 2025-12-04T08:54:37.0015964Z pred_boxes = torch.stack((x1, y1, x2, y2), dim=-1) 2025-12-04T08:54:37.0016115Z 2025-12-04T08:54:39.2262604Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:39.2264418Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/boxes.py", line 99, in _batched_nms_coordinate_trick 2025-12-04T08:54:39.2264860Z max_coordinate = boxes.max() 2025-12-04T08:54:39.2264990Z 2025-12-04T08:54:39.2265103Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:39.2265548Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/boxes.py", line 101, in _batched_nms_coordinate_trick 2025-12-04T08:54:39.2265931Z boxes_for_nms = boxes + offsets[:, None] 2025-12-04T08:54:39.2266064Z 2025-12-04T08:54:39.9201422Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:39.9202112Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 165, in torch_dynamo_resume_in_fast_rcnn_inference_single_image_at_162 2025-12-04T08:54:39.9202856Z boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep] 2025-12-04T08:54:39.9203068Z 2025-12-04T08:54:39.9203190Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:39.9203713Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 165, in torch_dynamo_resume_in_fast_rcnn_inference_single_image_at_162 2025-12-04T08:54:39.9204238Z boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep] 2025-12-04T08:54:39.9204415Z 2025-12-04T08:54:39.9204513Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:39.9205002Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 165, in torch_dynamo_resume_in_fast_rcnn_inference_single_image_at_162 2025-12-04T08:54:39.9205517Z boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep] 2025-12-04T08:54:39.9205694Z 2025-12-04T08:54:45.0092200Z cudagraph partition due to non gpu ops 2025-12-04T08:54:45.0093234Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:45.0093934Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess 2025-12-04T08:54:45.0095024Z output_boxes.clip(results.image_size) 2025-12-04T08:54:45.0095536Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip 2025-12-04T08:54:45.0096033Z assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!" 2025-12-04T08:54:45.0096268Z 2025-12-04T08:54:45.0096414Z cudagraph partition due to non gpu ops 2025-12-04T08:54:45.0096656Z cudagraph partition due to non gpu ops 2025-12-04T08:54:45.0097198Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:45.0097693Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess 2025-12-04T08:54:45.0098183Z output_boxes.clip(results.image_size) 2025-12-04T08:54:45.0098615Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip 2025-12-04T08:54:45.0099032Z self.tensor = torch.stack((x1, y1, x2, y2), dim=-1) 2025-12-04T08:54:45.0099199Z 2025-12-04T08:54:45.0099322Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:45.0099866Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 58, in detector_postprocess 2025-12-04T08:54:45.0100335Z results = results[output_boxes.nonempty()] 2025-12-04T08:54:45.0100749Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 212, in nonempty 2025-12-04T08:54:45.0101163Z keep = (widths > threshold) & (heights > threshold) 2025-12-04T08:54:45.0101343Z 2025-12-04T08:54:59.6035060Z Compilation time (from dynamo_timed): 49.04040457 2025-12-04T08:54:59.6035500Z pass 2025-12-04T08:54:59.6038656Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T08:54:59.6039450Z TIMING: gc:0.03916 entire_frame_compile:49.0404 _recursive_pre_grad_passes:0.02944 _recursive_joint_graph_passes:0.28212 async_compile.wait:5.02869 inductor_compile:20.58091 backend_compile:30.18921 _recursive_post_grad_passes:0.1804 code_gen:9.88864 total_wall_time:49.0404 2025-12-04T08:54:59.6040438Z STATS: call_* op count: 780 | FakeTensorMode.__torch_dispatch__:20508 | FakeTensor.__torch_dispatch__:11739 | ProxyTorchDispatchMode.__torch_dispatch__:6764 | attempt fast:67 | slow no contiguity match:32 | fast is_contiguous:35 2025-12-04T08:54:59.6041026Z Dynamo produced 52 graphs covering 780 ops with 42 graph breaks (6 unique) 2025-12-04T08:55:02.8658546Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-12-04T08:55:02.8659303Z import pynvml # type: ignore[import] 2025-12-04T08:55:04.8464781Z 2025-12-04T08:55:15.8636252Z loading model: 0it [00:00, ?it/s]W1204 08:55:15.862000 5869 site-packages/torch/fx/_symbolic_trace.py:53] is_fx_tracing will return true for both fx.symbolic_trace and torch.export. Please use is_fx_tracing_symbolic_tracing() for specifically fx.symbolic_trace or torch.compiler.is_compiling() for specifically torch.export/compile. 2025-12-04T08:55:17.0993052Z 2025-12-04T08:55:17.0997386Z loading model: 0it [00:12, ?it/s] 2025-12-04T08:55:17.1008101Z cpu eval detectron2_fasterrcnn_r_101_fpn 2025-12-04T08:55:33.3370668Z WARNING:common:fp64 golden ref were not generated for detectron2_fasterrcnn_r_101_fpn. Setting accuracy check to cosine 2025-12-04T08:55:33.3539164Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T08:55:47.5760138Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T08:56:01.7993741Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T08:56:11.2508011Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:11.2511077Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in from_tensors 2025-12-04T08:56:11.2511594Z image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes] 2025-12-04T08:56:11.2512005Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in 2025-12-04T08:56:11.2512404Z image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes] 2025-12-04T08:56:11.2513118Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 39, in shapes_to_tensor 2025-12-04T08:56:11.2513493Z return torch.as_tensor(x, device=device) 2025-12-04T08:56:11.2513632Z 2025-12-04T08:56:11.2513757Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:11.2514145Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in from_tensors 2025-12-04T08:56:11.2514551Z image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes] 2025-12-04T08:56:11.2514950Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in 2025-12-04T08:56:11.2515447Z image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes] 2025-12-04T08:56:11.2515970Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 39, in shapes_to_tensor 2025-12-04T08:56:11.2516368Z return torch.as_tensor(x, device=device) 2025-12-04T08:56:11.2516501Z 2025-12-04T08:56:11.2516615Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:11.2517010Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in from_tensors 2025-12-04T08:56:11.2517420Z image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes] 2025-12-04T08:56:11.2517819Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in 2025-12-04T08:56:11.2518215Z image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes] 2025-12-04T08:56:11.2518608Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 39, in shapes_to_tensor 2025-12-04T08:56:11.2518977Z return torch.as_tensor(x, device=device) 2025-12-04T08:56:11.2519119Z 2025-12-04T08:56:11.2519221Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:11.2519613Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in from_tensors 2025-12-04T08:56:11.2520009Z image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes] 2025-12-04T08:56:11.2520402Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in 2025-12-04T08:56:11.2520798Z image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes] 2025-12-04T08:56:11.2521189Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 39, in shapes_to_tensor 2025-12-04T08:56:11.2521548Z return torch.as_tensor(x, device=device) 2025-12-04T08:56:11.2521689Z 2025-12-04T08:56:11.2521789Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:11.2522293Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 89, in from_tensors 2025-12-04T08:56:11.2522718Z max_size = torch.stack(image_sizes_tensor).max(0).values 2025-12-04T08:56:11.2522908Z 2025-12-04T08:56:11.2523020Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:11.2523463Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 101, in from_tensors 2025-12-04T08:56:11.2524026Z max_size = (max_size + (stride - 1)).div(stride, rounding_mode="floor") * stride 2025-12-04T08:56:11.2524226Z 2025-12-04T08:56:12.2606953Z cudagraph partition due to non gpu ops 2025-12-04T08:56:29.6271669Z cudagraph partition due to non gpu ops 2025-12-04T08:56:29.6271957Z cudagraph partition due to non gpu ops 2025-12-04T08:56:29.6273434Z cudagraph partition due to non gpu ops 2025-12-04T08:56:29.6273912Z cudagraph partition due to non gpu ops 2025-12-04T08:56:29.6274256Z cudagraph partition due to non gpu ops 2025-12-04T08:56:29.6274592Z cudagraph partition due to non gpu ops 2025-12-04T08:56:29.6274905Z cudagraph partition due to non gpu ops 2025-12-04T08:56:29.6275220Z cudagraph partition due to non gpu ops 2025-12-04T08:56:29.6275989Z cudagraph partition due to non gpu ops 2025-12-04T08:56:29.6276327Z cudagraph partition due to non gpu ops 2025-12-04T08:56:29.6276625Z cudagraph partition due to non gpu ops 2025-12-04T08:56:29.6276943Z cudagraph partition due to non gpu ops 2025-12-04T08:56:29.6277276Z cudagraph partition due to non gpu ops 2025-12-04T08:56:29.6277588Z cudagraph partition due to non gpu ops 2025-12-04T08:56:29.6277903Z cudagraph partition due to non gpu ops 2025-12-04T08:56:29.6278226Z cudagraph partition due to non gpu ops 2025-12-04T08:56:29.6278535Z cudagraph partition due to non gpu ops 2025-12-04T08:56:29.6278926Z cudagraph partition due to non gpu ops 2025-12-04T08:56:29.6279245Z cudagraph partition due to non gpu ops 2025-12-04T08:56:29.6279559Z cudagraph partition due to non gpu ops 2025-12-04T08:56:29.6279845Z cudagraph partition due to non gpu ops 2025-12-04T08:56:29.6280152Z cudagraph partition due to non gpu ops 2025-12-04T08:56:29.6280464Z cudagraph partition due to non gpu ops 2025-12-04T08:56:29.6280778Z cudagraph partition due to non gpu ops 2025-12-04T08:56:29.6281077Z cudagraph partition due to non gpu ops 2025-12-04T08:56:29.6281398Z cudagraph partition due to non gpu ops 2025-12-04T08:56:29.6281710Z cudagraph partition due to non gpu ops 2025-12-04T08:56:29.6282033Z cudagraph partition due to non gpu ops 2025-12-04T08:56:29.6282527Z cudagraph partition due to non gpu ops 2025-12-04T08:56:29.6282900Z cudagraph partition due to non gpu ops 2025-12-04T08:56:29.6283269Z cudagraph partition due to non gpu ops 2025-12-04T08:56:29.6283618Z cudagraph partition due to non gpu ops 2025-12-04T08:56:29.6283955Z cudagraph partition due to non gpu ops 2025-12-04T08:56:29.6284274Z cudagraph partition due to non gpu ops 2025-12-04T08:56:29.6284610Z cudagraph partition due to non gpu ops 2025-12-04T08:56:29.6284942Z cudagraph partition due to non gpu ops 2025-12-04T08:56:29.6285262Z cudagraph partition due to non gpu ops 2025-12-04T08:56:29.6285588Z cudagraph partition due to non gpu ops 2025-12-04T08:56:29.6285905Z cudagraph partition due to non gpu ops 2025-12-04T08:56:29.6286275Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6287084Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6287835Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6288453Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6289067Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6289680Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 445, in forward 2025-12-04T08:56:29.6290298Z x = self.stem(x) 2025-12-04T08:56:29.6290920Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 356, in forward 2025-12-04T08:56:29.6291539Z x = self.conv1(x) 2025-12-04T08:56:29.6292094Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6292652Z x = F.conv2d( 2025-12-04T08:56:29.6292805Z 2025-12-04T08:56:29.6293144Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6293918Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6294664Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6295256Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6295861Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6296514Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 445, in forward 2025-12-04T08:56:29.6297134Z x = self.stem(x) 2025-12-04T08:56:29.6297736Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 357, in forward 2025-12-04T08:56:29.6298334Z x = F.relu_(x) 2025-12-04T08:56:29.6298486Z 2025-12-04T08:56:29.6298783Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6299591Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6300342Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6301006Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6301699Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6302383Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 445, in forward 2025-12-04T08:56:29.6303022Z x = self.stem(x) 2025-12-04T08:56:29.6303627Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 358, in forward 2025-12-04T08:56:29.6304336Z x = F.max_pool2d(x, kernel_size=3, stride=2, padding=1) 2025-12-04T08:56:29.6304621Z 2025-12-04T08:56:29.6304806Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6305634Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6306427Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6307053Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6307673Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6308324Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6308928Z x = stage(x) 2025-12-04T08:56:29.6309383Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:56:29.6309883Z out = self.conv1(x) 2025-12-04T08:56:29.6310210Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6310684Z x = F.conv2d( 2025-12-04T08:56:29.6310816Z 2025-12-04T08:56:29.6310970Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6311694Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6312283Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6312648Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6313129Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6313505Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6313863Z x = stage(x) 2025-12-04T08:56:29.6314185Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:56:29.6314608Z out = F.relu_(out) 2025-12-04T08:56:29.6314721Z 2025-12-04T08:56:29.6314822Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6315328Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6316047Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6316644Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6317224Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6317828Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6318354Z x = stage(x) 2025-12-04T08:56:29.6318721Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:56:29.6319120Z out = self.conv2(out) 2025-12-04T08:56:29.6319521Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6319860Z x = F.conv2d( 2025-12-04T08:56:29.6319960Z 2025-12-04T08:56:29.6320066Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6320558Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6321309Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6321912Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6322607Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6323215Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6323692Z x = stage(x) 2025-12-04T08:56:29.6324034Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:56:29.6324402Z out = F.relu_(out) 2025-12-04T08:56:29.6324508Z 2025-12-04T08:56:29.6324630Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6325074Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6325586Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6326040Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6326414Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6326799Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6327163Z x = stage(x) 2025-12-04T08:56:29.6327498Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:56:29.6327866Z out = self.conv3(out) 2025-12-04T08:56:29.6328202Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6328693Z x = F.conv2d( 2025-12-04T08:56:29.6328830Z 2025-12-04T08:56:29.6328995Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6329745Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6330449Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6331047Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6331497Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6332246Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6332826Z x = stage(x) 2025-12-04T08:56:29.6333362Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward 2025-12-04T08:56:29.6333745Z shortcut = self.shortcut(x) 2025-12-04T08:56:29.6334186Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6334685Z x = F.conv2d( 2025-12-04T08:56:29.6334815Z 2025-12-04T08:56:29.6334970Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6335567Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6336055Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6336417Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6336781Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6337142Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6337487Z x = stage(x) 2025-12-04T08:56:29.6337803Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:56:29.6338164Z out = self.conv1(x) 2025-12-04T08:56:29.6338479Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6338991Z x = F.conv2d( 2025-12-04T08:56:29.6339119Z 2025-12-04T08:56:29.6339263Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6339931Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6340598Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6341125Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6341619Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6342167Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6342654Z x = stage(x) 2025-12-04T08:56:29.6343097Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:56:29.6343603Z out = F.relu_(out) 2025-12-04T08:56:29.6343739Z 2025-12-04T08:56:29.6343883Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6344523Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6345101Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6345469Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6345927Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6346295Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6346644Z x = stage(x) 2025-12-04T08:56:29.6346973Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:56:29.6347325Z out = self.conv2(out) 2025-12-04T08:56:29.6347633Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6347955Z x = F.conv2d( 2025-12-04T08:56:29.6348049Z 2025-12-04T08:56:29.6348147Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6348656Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6349070Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6349424Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6349778Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6350153Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6350557Z x = stage(x) 2025-12-04T08:56:29.6350919Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:56:29.6351375Z out = F.relu_(out) 2025-12-04T08:56:29.6351474Z 2025-12-04T08:56:29.6351583Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6352027Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6352439Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6352803Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6353159Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6353522Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6353893Z x = stage(x) 2025-12-04T08:56:29.6354206Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:56:29.6354567Z out = self.conv3(out) 2025-12-04T08:56:29.6354881Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6355214Z x = F.conv2d( 2025-12-04T08:56:29.6355302Z 2025-12-04T08:56:29.6355403Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6355856Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6356285Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6356645Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6357004Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6357374Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6357723Z x = stage(x) 2025-12-04T08:56:29.6358035Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:56:29.6358390Z out = F.relu_(out) 2025-12-04T08:56:29.6358495Z 2025-12-04T08:56:29.6358592Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6359039Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6359460Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6359823Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6360186Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6360550Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6360893Z x = stage(x) 2025-12-04T08:56:29.6361212Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:56:29.6361569Z out = self.conv1(x) 2025-12-04T08:56:29.6361881Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6362392Z x = F.conv2d( 2025-12-04T08:56:29.6362497Z 2025-12-04T08:56:29.6362616Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6363127Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6363569Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6363963Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6364337Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6364704Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6365089Z x = stage(x) 2025-12-04T08:56:29.6365421Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:56:29.6365786Z out = F.relu_(out) 2025-12-04T08:56:29.6365893Z 2025-12-04T08:56:29.6365996Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6366465Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6366910Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6367289Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6367642Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6368007Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6368488Z x = stage(x) 2025-12-04T08:56:29.6368814Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:56:29.6369177Z out = self.conv2(out) 2025-12-04T08:56:29.6369505Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6369838Z x = F.conv2d( 2025-12-04T08:56:29.6369928Z 2025-12-04T08:56:29.6370028Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6370478Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6370912Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6371280Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6371642Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6372012Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6372361Z x = stage(x) 2025-12-04T08:56:29.6372677Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:56:29.6373033Z out = F.relu_(out) 2025-12-04T08:56:29.6373128Z 2025-12-04T08:56:29.6373234Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6373680Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6374105Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6374464Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6374824Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6375186Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6375538Z x = stage(x) 2025-12-04T08:56:29.6375892Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:56:29.6376248Z out = self.conv3(out) 2025-12-04T08:56:29.6376560Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6376894Z x = F.conv2d( 2025-12-04T08:56:29.6376980Z 2025-12-04T08:56:29.6377087Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6377532Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6377951Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6378311Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6378694Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6379053Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6379432Z x = stage(x) 2025-12-04T08:56:29.6379760Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:56:29.6380124Z out = F.relu_(out) 2025-12-04T08:56:29.6380220Z 2025-12-04T08:56:29.6380319Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6380797Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6381236Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6381602Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6381972Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6382347Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6382710Z x = stage(x) 2025-12-04T08:56:29.6383032Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:56:29.6383396Z out = self.conv1(x) 2025-12-04T08:56:29.6383718Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6384056Z x = F.conv2d( 2025-12-04T08:56:29.6384146Z 2025-12-04T08:56:29.6384246Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6384699Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6385135Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6385499Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6385871Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6386247Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6386605Z x = stage(x) 2025-12-04T08:56:29.6386925Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:56:29.6387285Z out = F.relu_(out) 2025-12-04T08:56:29.6387388Z 2025-12-04T08:56:29.6387497Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6387944Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6388380Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6388747Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6389118Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6389518Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6389884Z x = stage(x) 2025-12-04T08:56:29.6390214Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:56:29.6390589Z out = self.conv2(out) 2025-12-04T08:56:29.6390899Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6391226Z x = F.conv2d( 2025-12-04T08:56:29.6391314Z 2025-12-04T08:56:29.6391417Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6391857Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6392307Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6392672Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6393034Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6393395Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6393745Z x = stage(x) 2025-12-04T08:56:29.6394066Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:56:29.6394508Z out = F.relu_(out) 2025-12-04T08:56:29.6394607Z 2025-12-04T08:56:29.6394706Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6395153Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6395586Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6395942Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6396309Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6396675Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6397029Z x = stage(x) 2025-12-04T08:56:29.6397352Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:56:29.6397719Z out = self.conv3(out) 2025-12-04T08:56:29.6398048Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6398388Z x = F.conv2d( 2025-12-04T08:56:29.6398485Z 2025-12-04T08:56:29.6398584Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6399029Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6399460Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6399817Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6400187Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6400558Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6400917Z x = stage(x) 2025-12-04T08:56:29.6401236Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward 2025-12-04T08:56:29.6401610Z shortcut = self.shortcut(x) 2025-12-04T08:56:29.6401954Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6402361Z x = F.conv2d( 2025-12-04T08:56:29.6402466Z 2025-12-04T08:56:29.6402574Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6403128Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6403605Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6403998Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6404384Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6404766Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6405128Z x = stage(x) 2025-12-04T08:56:29.6405464Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:56:29.6405856Z out = self.conv1(x) 2025-12-04T08:56:29.6406170Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6406489Z x = F.conv2d( 2025-12-04T08:56:29.6406583Z 2025-12-04T08:56:29.6406685Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6407131Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6407555Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6407929Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6408290Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6408651Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6408992Z x = stage(x) 2025-12-04T08:56:29.6409314Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:56:29.6409670Z out = F.relu_(out) 2025-12-04T08:56:29.6409768Z 2025-12-04T08:56:29.6409877Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6410317Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6410744Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6411104Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6411468Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6411828Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6412178Z x = stage(x) 2025-12-04T08:56:29.6412503Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:56:29.6412854Z out = self.conv2(out) 2025-12-04T08:56:29.6413176Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6413504Z x = F.conv2d( 2025-12-04T08:56:29.6413592Z 2025-12-04T08:56:29.6413697Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6414142Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6414577Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6414936Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6415307Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6415866Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6416237Z x = stage(x) 2025-12-04T08:56:29.6416657Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:56:29.6417015Z out = F.relu_(out) 2025-12-04T08:56:29.6417121Z 2025-12-04T08:56:29.6417225Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6417685Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6418130Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6418495Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6418870Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6419247Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6419627Z x = stage(x) 2025-12-04T08:56:29.6419960Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:56:29.6420327Z out = self.conv3(out) 2025-12-04T08:56:29.6420654Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6420986Z x = F.conv2d( 2025-12-04T08:56:29.6421084Z 2025-12-04T08:56:29.6421186Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6421673Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6422109Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6422485Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6422860Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6423235Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6423583Z x = stage(x) 2025-12-04T08:56:29.6423913Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:56:29.6424270Z out = F.relu_(out) 2025-12-04T08:56:29.6424369Z 2025-12-04T08:56:29.6424476Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6424926Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6425363Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6425726Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6426087Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6426458Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6426815Z x = stage(x) 2025-12-04T08:56:29.6427145Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:56:29.6427497Z out = self.conv1(x) 2025-12-04T08:56:29.6427819Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6428156Z x = F.conv2d( 2025-12-04T08:56:29.6428246Z 2025-12-04T08:56:29.6428348Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6428809Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6429246Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6429617Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6429984Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6430397Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6430757Z x = stage(x) 2025-12-04T08:56:29.6431091Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:56:29.6431435Z out = F.relu_(out) 2025-12-04T08:56:29.6431540Z 2025-12-04T08:56:29.6431640Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6432087Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6432512Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6432894Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6433260Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6433631Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6433978Z x = stage(x) 2025-12-04T08:56:29.6434315Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:56:29.6434675Z out = self.conv2(out) 2025-12-04T08:56:29.6434986Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6435336Z x = F.conv2d( 2025-12-04T08:56:29.6435430Z 2025-12-04T08:56:29.6435528Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6435976Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6436399Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6436763Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6437131Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6437494Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6437835Z x = stage(x) 2025-12-04T08:56:29.6438153Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:56:29.6438507Z out = F.relu_(out) 2025-12-04T08:56:29.6438603Z 2025-12-04T08:56:29.6438701Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6439149Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6439579Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6439965Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6440320Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6440680Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6441027Z x = stage(x) 2025-12-04T08:56:29.6441347Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:56:29.6441698Z out = self.conv3(out) 2025-12-04T08:56:29.6442017Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6442406Z x = F.conv2d( 2025-12-04T08:56:29.6442497Z 2025-12-04T08:56:29.6442597Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6443066Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6443518Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6443936Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6444317Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6444693Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6445059Z x = stage(x) 2025-12-04T08:56:29.6445370Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:56:29.6445722Z out = F.relu_(out) 2025-12-04T08:56:29.6445826Z 2025-12-04T08:56:29.6445923Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6446407Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6446832Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6447193Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6447553Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6447916Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6448258Z x = stage(x) 2025-12-04T08:56:29.6448595Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:56:29.6448949Z out = self.conv1(x) 2025-12-04T08:56:29.6449257Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6449587Z x = F.conv2d( 2025-12-04T08:56:29.6449683Z 2025-12-04T08:56:29.6449782Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6450232Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6450648Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6451006Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6451369Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6451733Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6452074Z x = stage(x) 2025-12-04T08:56:29.6452390Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:56:29.6452739Z out = F.relu_(out) 2025-12-04T08:56:29.6452835Z 2025-12-04T08:56:29.6452933Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6453378Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6453808Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6454166Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6454521Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6454885Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6455235Z x = stage(x) 2025-12-04T08:56:29.6455544Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:56:29.6455903Z out = self.conv2(out) 2025-12-04T08:56:29.6456222Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6456546Z x = F.conv2d( 2025-12-04T08:56:29.6456634Z 2025-12-04T08:56:29.6456733Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6457218Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6457645Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6458003Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6458359Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6458719Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6459067Z x = stage(x) 2025-12-04T08:56:29.6459376Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:56:29.6459750Z out = F.relu_(out) 2025-12-04T08:56:29.6459854Z 2025-12-04T08:56:29.6459952Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6460408Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6460834Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6461197Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6461582Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6461940Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6462289Z x = stage(x) 2025-12-04T08:56:29.6462608Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:56:29.6462967Z out = self.conv3(out) 2025-12-04T08:56:29.6463280Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6463613Z x = F.conv2d( 2025-12-04T08:56:29.6463702Z 2025-12-04T08:56:29.6463808Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6464259Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6464680Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6465044Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6465411Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6465768Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6466121Z x = stage(x) 2025-12-04T08:56:29.6466440Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:56:29.6466788Z out = F.relu_(out) 2025-12-04T08:56:29.6466884Z 2025-12-04T08:56:29.6466984Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6467439Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6467865Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6468230Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6468586Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6468948Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6469299Z x = stage(x) 2025-12-04T08:56:29.6469610Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:56:29.6469965Z out = self.conv1(x) 2025-12-04T08:56:29.6470313Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6470642Z x = F.conv2d( 2025-12-04T08:56:29.6470729Z 2025-12-04T08:56:29.6470827Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6471271Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6471702Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6472054Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6472414Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6472794Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6473142Z x = stage(x) 2025-12-04T08:56:29.6473454Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:56:29.6473804Z out = F.relu_(out) 2025-12-04T08:56:29.6473900Z 2025-12-04T08:56:29.6474006Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6474448Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6474895Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6475253Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6475616Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6475973Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6476323Z x = stage(x) 2025-12-04T08:56:29.6476644Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:56:29.6476997Z out = self.conv2(out) 2025-12-04T08:56:29.6477310Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6477638Z x = F.conv2d( 2025-12-04T08:56:29.6477725Z 2025-12-04T08:56:29.6477831Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6478272Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6478696Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6479058Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6479424Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6479781Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6480133Z x = stage(x) 2025-12-04T08:56:29.6480457Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:56:29.6480811Z out = F.relu_(out) 2025-12-04T08:56:29.6480908Z 2025-12-04T08:56:29.6481007Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6481456Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6481889Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6482321Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6482750Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6483166Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6483563Z x = stage(x) 2025-12-04T08:56:29.6483952Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:56:29.6484314Z out = self.conv3(out) 2025-12-04T08:56:29.6484636Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6484960Z x = F.conv2d( 2025-12-04T08:56:29.6485055Z 2025-12-04T08:56:29.6485154Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6485602Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6486027Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6486398Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6486760Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6487125Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6487471Z x = stage(x) 2025-12-04T08:56:29.6487778Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward 2025-12-04T08:56:29.6488137Z shortcut = self.shortcut(x) 2025-12-04T08:56:29.6488491Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6488812Z x = F.conv2d( 2025-12-04T08:56:29.6488907Z 2025-12-04T08:56:29.6489005Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6489451Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6489879Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6490237Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6490599Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6490964Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6491315Z x = stage(x) 2025-12-04T08:56:29.6491624Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:56:29.6491981Z out = self.conv1(x) 2025-12-04T08:56:29.6492291Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6492610Z x = F.conv2d( 2025-12-04T08:56:29.6492704Z 2025-12-04T08:56:29.6492804Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6493255Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6493688Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6494041Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6494401Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6494762Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6495106Z x = stage(x) 2025-12-04T08:56:29.6495424Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:56:29.6495781Z out = F.relu_(out) 2025-12-04T08:56:29.6495878Z 2025-12-04T08:56:29.6495986Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6496427Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6496900Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6497266Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6497629Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6497988Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6498340Z x = stage(x) 2025-12-04T08:56:29.6498660Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:56:29.6499011Z out = self.conv2(out) 2025-12-04T08:56:29.6499328Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6499677Z x = F.conv2d( 2025-12-04T08:56:29.6499764Z 2025-12-04T08:56:29.6499870Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6500317Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6500763Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6501132Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6501513Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6501890Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6502252Z x = stage(x) 2025-12-04T08:56:29.6502569Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:56:29.6502920Z out = F.relu_(out) 2025-12-04T08:56:29.6503023Z 2025-12-04T08:56:29.6503121Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6503576Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6504011Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6504364Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6504727Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6505093Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6505436Z x = stage(x) 2025-12-04T08:56:29.6505753Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:56:29.6506111Z out = self.conv3(out) 2025-12-04T08:56:29.6506429Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6506751Z x = F.conv2d( 2025-12-04T08:56:29.6506844Z 2025-12-04T08:56:29.6506944Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6507668Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6508095Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6508447Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6508813Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6509179Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6509524Z x = stage(x) 2025-12-04T08:56:29.6509845Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:56:29.6510196Z out = F.relu_(out) 2025-12-04T08:56:29.6510293Z 2025-12-04T08:56:29.6510491Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6510940Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6511371Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6511737Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6512107Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6512473Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6512834Z x = stage(x) 2025-12-04T08:56:29.6513174Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:56:29.6513523Z out = self.conv1(x) 2025-12-04T08:56:29.6513844Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6514176Z x = F.conv2d( 2025-12-04T08:56:29.6514274Z 2025-12-04T08:56:29.6514380Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6514812Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6515256Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6515743Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6516116Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6516489Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6516848Z x = stage(x) 2025-12-04T08:56:29.6517180Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:56:29.6517534Z out = F.relu_(out) 2025-12-04T08:56:29.6517641Z 2025-12-04T08:56:29.6517743Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6518199Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6518634Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6518997Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6519363Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6519731Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6520080Z x = stage(x) 2025-12-04T08:56:29.6520407Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:56:29.6520770Z out = self.conv2(out) 2025-12-04T08:56:29.6521095Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6521423Z x = F.conv2d( 2025-12-04T08:56:29.6521518Z 2025-12-04T08:56:29.6521620Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6522077Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6522589Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6522980Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6523376Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6523762Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6524105Z x = stage(x) 2025-12-04T08:56:29.6524508Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:56:29.6524862Z out = F.relu_(out) 2025-12-04T08:56:29.6524960Z 2025-12-04T08:56:29.6525065Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6525504Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6525934Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6526295Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6526670Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6527025Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6527366Z x = stage(x) 2025-12-04T08:56:29.6527681Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:56:29.6528019Z out = self.conv3(out) 2025-12-04T08:56:29.6528331Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6528650Z x = F.conv2d( 2025-12-04T08:56:29.6528763Z 2025-12-04T08:56:29.6528860Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6529294Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6529713Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6530065Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6530410Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6530771Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6531112Z x = stage(x) 2025-12-04T08:56:29.6531423Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:56:29.6531758Z out = F.relu_(out) 2025-12-04T08:56:29.6531860Z 2025-12-04T08:56:29.6531959Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6532394Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6532802Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6533149Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6533502Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6533857Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6534187Z x = stage(x) 2025-12-04T08:56:29.6534494Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:56:29.6534835Z out = self.conv1(x) 2025-12-04T08:56:29.6535130Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6535448Z x = F.conv2d( 2025-12-04T08:56:29.6535540Z 2025-12-04T08:56:29.6535638Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6536091Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6536500Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6536853Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6537242Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6537603Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6537936Z x = stage(x) 2025-12-04T08:56:29.6538248Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:56:29.6538591Z out = F.relu_(out) 2025-12-04T08:56:29.6538684Z 2025-12-04T08:56:29.6538779Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6539216Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6539653Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6540000Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6540343Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6540699Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6541032Z x = stage(x) 2025-12-04T08:56:29.6541346Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:56:29.6541701Z out = self.conv2(out) 2025-12-04T08:56:29.6542018Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6542345Z x = F.conv2d( 2025-12-04T08:56:29.6542432Z 2025-12-04T08:56:29.6542531Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6542976Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6543399Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6543764Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6544107Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6544475Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6544825Z x = stage(x) 2025-12-04T08:56:29.6545141Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:56:29.6545492Z out = F.relu_(out) 2025-12-04T08:56:29.6545594Z 2025-12-04T08:56:29.6545692Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6546142Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6546566Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6546930Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6547314Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6547682Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6548023Z x = stage(x) 2025-12-04T08:56:29.6548347Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:56:29.6548704Z out = self.conv3(out) 2025-12-04T08:56:29.6549021Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6549356Z x = F.conv2d( 2025-12-04T08:56:29.6549453Z 2025-12-04T08:56:29.6549552Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6550002Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6550475Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6550839Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6551198Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6551562Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6551906Z x = stage(x) 2025-12-04T08:56:29.6552229Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:56:29.6552578Z out = F.relu_(out) 2025-12-04T08:56:29.6552694Z 2025-12-04T08:56:29.6552793Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6553242Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6553672Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6554035Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6554391Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6554756Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6555124Z x = stage(x) 2025-12-04T08:56:29.6555437Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:56:29.6555793Z out = self.conv1(x) 2025-12-04T08:56:29.6556107Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6556439Z x = F.conv2d( 2025-12-04T08:56:29.6556525Z 2025-12-04T08:56:29.6556625Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6557074Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6557501Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6557859Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6558217Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6558579Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6558925Z x = stage(x) 2025-12-04T08:56:29.6559235Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:56:29.6559593Z out = F.relu_(out) 2025-12-04T08:56:29.6559695Z 2025-12-04T08:56:29.6559793Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6560242Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6560666Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6561026Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6561390Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6561749Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6562101Z x = stage(x) 2025-12-04T08:56:29.6562510Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:56:29.6562897Z out = self.conv2(out) 2025-12-04T08:56:29.6563233Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6563586Z x = F.conv2d( 2025-12-04T08:56:29.6563686Z 2025-12-04T08:56:29.6563835Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6564294Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6564725Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6565096Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6565468Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6565830Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6566200Z x = stage(x) 2025-12-04T08:56:29.6566528Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:56:29.6566892Z out = F.relu_(out) 2025-12-04T08:56:29.6566988Z 2025-12-04T08:56:29.6567087Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6567524Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6567940Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6568287Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6568653Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6569007Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6569345Z x = stage(x) 2025-12-04T08:56:29.6569652Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:56:29.6569999Z out = self.conv3(out) 2025-12-04T08:56:29.6570312Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6570634Z x = F.conv2d( 2025-12-04T08:56:29.6570719Z 2025-12-04T08:56:29.6570813Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6571250Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6571667Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6572009Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6572362Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6572713Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6573047Z x = stage(x) 2025-12-04T08:56:29.6573351Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:56:29.6573690Z out = F.relu_(out) 2025-12-04T08:56:29.6573783Z 2025-12-04T08:56:29.6573885Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6574318Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6574724Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6575068Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6575419Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6575764Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6576103Z x = stage(x) 2025-12-04T08:56:29.6576410Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:56:29.6576787Z out = self.conv1(x) 2025-12-04T08:56:29.6577088Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6577410Z x = F.conv2d( 2025-12-04T08:56:29.6577496Z 2025-12-04T08:56:29.6577600Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6578030Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6578451Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6578806Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6579176Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6579527Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6579870Z x = stage(x) 2025-12-04T08:56:29.6580189Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:56:29.6580538Z out = F.relu_(out) 2025-12-04T08:56:29.6580632Z 2025-12-04T08:56:29.6580727Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6581164Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6581604Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6581948Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6582305Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6582660Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6583001Z x = stage(x) 2025-12-04T08:56:29.6583307Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:56:29.6583658Z out = self.conv2(out) 2025-12-04T08:56:29.6583971Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6584286Z x = F.conv2d( 2025-12-04T08:56:29.6584379Z 2025-12-04T08:56:29.6584474Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6584911Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6585329Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6585674Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6586030Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6586387Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6586726Z x = stage(x) 2025-12-04T08:56:29.6587029Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:56:29.6587371Z out = F.relu_(out) 2025-12-04T08:56:29.6587466Z 2025-12-04T08:56:29.6587571Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6587999Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6588418Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6588767Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6589117Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6589496Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6589837Z x = stage(x) 2025-12-04T08:56:29.6590149Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:56:29.6590499Z out = self.conv3(out) 2025-12-04T08:56:29.6590805Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6591128Z x = F.conv2d( 2025-12-04T08:56:29.6591213Z 2025-12-04T08:56:29.6591315Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6591748Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6592193Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6592557Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6592924Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6593282Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6593633Z x = stage(x) 2025-12-04T08:56:29.6593953Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:56:29.6594331Z out = F.relu_(out) 2025-12-04T08:56:29.6594432Z 2025-12-04T08:56:29.6594528Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6594975Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6595405Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6595756Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6596125Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6596490Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6596837Z x = stage(x) 2025-12-04T08:56:29.6597147Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:56:29.6597503Z out = self.conv1(x) 2025-12-04T08:56:29.6597821Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6598144Z x = F.conv2d( 2025-12-04T08:56:29.6598241Z 2025-12-04T08:56:29.6598340Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6598792Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6599219Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6599574Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6599934Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6600300Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6600641Z x = stage(x) 2025-12-04T08:56:29.6600963Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:56:29.6601312Z out = F.relu_(out) 2025-12-04T08:56:29.6601409Z 2025-12-04T08:56:29.6601517Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6601969Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6602520Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6602975Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6603391Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6603776Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6604125Z x = stage(x) 2025-12-04T08:56:29.6604448Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:56:29.6604796Z out = self.conv2(out) 2025-12-04T08:56:29.6605117Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6605467Z x = F.conv2d( 2025-12-04T08:56:29.6605554Z 2025-12-04T08:56:29.6605659Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6606108Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6606538Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6606896Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6607257Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6607616Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6608000Z x = stage(x) 2025-12-04T08:56:29.6608318Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:56:29.6608664Z out = F.relu_(out) 2025-12-04T08:56:29.6608771Z 2025-12-04T08:56:29.6608869Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6609317Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6609750Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6610101Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6610464Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6610829Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6611178Z x = stage(x) 2025-12-04T08:56:29.6611489Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:56:29.6611837Z out = self.conv3(out) 2025-12-04T08:56:29.6612151Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6612466Z x = F.conv2d( 2025-12-04T08:56:29.6612561Z 2025-12-04T08:56:29.6612658Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6613101Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6613525Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6613871Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6614230Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6614586Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6614921Z x = stage(x) 2025-12-04T08:56:29.6615234Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:56:29.6615717Z out = F.relu_(out) 2025-12-04T08:56:29.6615822Z 2025-12-04T08:56:29.6615931Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6616428Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6616849Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6617200Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6617550Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6617897Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6618235Z x = stage(x) 2025-12-04T08:56:29.6618548Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:56:29.6618918Z out = self.conv1(x) 2025-12-04T08:56:29.6619235Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6619572Z x = F.conv2d( 2025-12-04T08:56:29.6619661Z 2025-12-04T08:56:29.6619766Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6620196Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6620611Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6620993Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6621337Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6621699Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6622041Z x = stage(x) 2025-12-04T08:56:29.6622350Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:56:29.6622682Z out = F.relu_(out) 2025-12-04T08:56:29.6622785Z 2025-12-04T08:56:29.6622885Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6623324Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6623742Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6624088Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6624439Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6624791Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6625119Z x = stage(x) 2025-12-04T08:56:29.6625431Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:56:29.6625780Z out = self.conv2(out) 2025-12-04T08:56:29.6626092Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6626405Z x = F.conv2d( 2025-12-04T08:56:29.6626495Z 2025-12-04T08:56:29.6626593Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6627035Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6627449Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6627801Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6628153Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6628512Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6628843Z x = stage(x) 2025-12-04T08:56:29.6629192Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:56:29.6629537Z out = F.relu_(out) 2025-12-04T08:56:29.6629631Z 2025-12-04T08:56:29.6629736Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6630166Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6630583Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6630933Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6631277Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6631632Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6631997Z x = stage(x) 2025-12-04T08:56:29.6632307Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:56:29.6632649Z out = self.conv3(out) 2025-12-04T08:56:29.6632961Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6633280Z x = F.conv2d( 2025-12-04T08:56:29.6633366Z 2025-12-04T08:56:29.6633461Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6633914Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6634329Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6634675Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6635022Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6635379Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6635721Z x = stage(x) 2025-12-04T08:56:29.6636028Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:56:29.6636361Z out = F.relu_(out) 2025-12-04T08:56:29.6636461Z 2025-12-04T08:56:29.6636557Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6636992Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6637398Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6637745Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6638097Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6638449Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6638778Z x = stage(x) 2025-12-04T08:56:29.6639090Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:56:29.6639430Z out = self.conv1(x) 2025-12-04T08:56:29.6639730Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6640047Z x = F.conv2d( 2025-12-04T08:56:29.6640139Z 2025-12-04T08:56:29.6640236Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6640670Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6641080Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6641433Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6641790Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6642253Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6642625Z x = stage(x) 2025-12-04T08:56:29.6642971Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:56:29.6643374Z out = F.relu_(out) 2025-12-04T08:56:29.6643488Z 2025-12-04T08:56:29.6643608Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6644080Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6644568Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6645002Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6645402Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6645814Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6646202Z x = stage(x) 2025-12-04T08:56:29.6646563Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:56:29.6646954Z out = self.conv2(out) 2025-12-04T08:56:29.6647308Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6647692Z x = F.conv2d( 2025-12-04T08:56:29.6647790Z 2025-12-04T08:56:29.6647901Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6648398Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6648870Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6649268Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6649668Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6650073Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6650436Z x = stage(x) 2025-12-04T08:56:29.6650740Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:56:29.6651084Z out = F.relu_(out) 2025-12-04T08:56:29.6651187Z 2025-12-04T08:56:29.6651284Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6651718Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6652138Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6652486Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6652841Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6653196Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6653529Z x = stage(x) 2025-12-04T08:56:29.6653838Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:56:29.6654185Z out = self.conv3(out) 2025-12-04T08:56:29.6654487Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6654809Z x = F.conv2d( 2025-12-04T08:56:29.6654812Z 2025-12-04T08:56:29.6654915Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6655201Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6655276Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6655535Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6655613Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6655837Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6655902Z x = stage(x) 2025-12-04T08:56:29.6656127Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:56:29.6656195Z out = F.relu_(out) 2025-12-04T08:56:29.6656198Z 2025-12-04T08:56:29.6656293Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6656590Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6656673Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6656891Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6656974Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6657194Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6657267Z x = stage(x) 2025-12-04T08:56:29.6657495Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:56:29.6657557Z out = self.conv1(x) 2025-12-04T08:56:29.6657761Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6657827Z x = F.conv2d( 2025-12-04T08:56:29.6657830Z 2025-12-04T08:56:29.6657924Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6658216Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6658291Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6658509Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6658590Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6658813Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6658877Z x = stage(x) 2025-12-04T08:56:29.6659098Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:56:29.6659160Z out = F.relu_(out) 2025-12-04T08:56:29.6659165Z 2025-12-04T08:56:29.6659266Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6659550Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6659626Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6659851Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6659926Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6660152Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6660211Z x = stage(x) 2025-12-04T08:56:29.6660432Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:56:29.6660504Z out = self.conv2(out) 2025-12-04T08:56:29.6660708Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6660766Z x = F.conv2d( 2025-12-04T08:56:29.6660777Z 2025-12-04T08:56:29.6660872Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6661189Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6661274Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6661494Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6661570Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6661802Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6661860Z x = stage(x) 2025-12-04T08:56:29.6662090Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:56:29.6662172Z out = F.relu_(out) 2025-12-04T08:56:29.6662175Z 2025-12-04T08:56:29.6662271Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6662569Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6662645Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6662872Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6662963Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6663185Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6663250Z x = stage(x) 2025-12-04T08:56:29.6663476Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:56:29.6663541Z out = self.conv3(out) 2025-12-04T08:56:29.6663761Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6663822Z x = F.conv2d( 2025-12-04T08:56:29.6663826Z 2025-12-04T08:56:29.6663930Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6664220Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6664297Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6664533Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6664607Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6664839Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6664915Z x = stage(x) 2025-12-04T08:56:29.6665140Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:56:29.6665208Z out = F.relu_(out) 2025-12-04T08:56:29.6665211Z 2025-12-04T08:56:29.6665308Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6665591Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6665674Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6665892Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6665973Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6666196Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6666254Z x = stage(x) 2025-12-04T08:56:29.6666488Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:56:29.6666549Z out = self.conv1(x) 2025-12-04T08:56:29.6666786Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6666852Z x = F.conv2d( 2025-12-04T08:56:29.6666855Z 2025-12-04T08:56:29.6666951Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6667246Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6667323Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6667540Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6667621Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6668276Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6668343Z x = stage(x) 2025-12-04T08:56:29.6668575Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:56:29.6668638Z out = F.relu_(out) 2025-12-04T08:56:29.6668641Z 2025-12-04T08:56:29.6668748Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6669032Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6669126Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6669353Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6669426Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6669656Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6669712Z x = stage(x) 2025-12-04T08:56:29.6669936Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:56:29.6670007Z out = self.conv2(out) 2025-12-04T08:56:29.6670211Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6670269Z x = F.conv2d( 2025-12-04T08:56:29.6670278Z 2025-12-04T08:56:29.6670373Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6670658Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6670740Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6670957Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6671033Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6671264Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6671323Z x = stage(x) 2025-12-04T08:56:29.6671552Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:56:29.6671612Z out = F.relu_(out) 2025-12-04T08:56:29.6671616Z 2025-12-04T08:56:29.6671710Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6672003Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6672079Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6672305Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6672380Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6672601Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6672663Z x = stage(x) 2025-12-04T08:56:29.6672929Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:56:29.6672995Z out = self.conv3(out) 2025-12-04T08:56:29.6673207Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6673265Z x = F.conv2d( 2025-12-04T08:56:29.6673268Z 2025-12-04T08:56:29.6673370Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6673650Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6673743Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6673970Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6674045Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6674271Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6674336Z x = stage(x) 2025-12-04T08:56:29.6674558Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:56:29.6674628Z out = F.relu_(out) 2025-12-04T08:56:29.6674648Z 2025-12-04T08:56:29.6674745Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6675029Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6675114Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6675335Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6675418Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6675643Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6675699Z x = stage(x) 2025-12-04T08:56:29.6675931Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:56:29.6675995Z out = self.conv1(x) 2025-12-04T08:56:29.6676200Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6676265Z x = F.conv2d( 2025-12-04T08:56:29.6676268Z 2025-12-04T08:56:29.6676364Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6676656Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6676734Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6676955Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6677039Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6677264Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6677328Z x = stage(x) 2025-12-04T08:56:29.6677554Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:56:29.6677616Z out = F.relu_(out) 2025-12-04T08:56:29.6677619Z 2025-12-04T08:56:29.6677721Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6678002Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6678079Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6678304Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6678413Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6678644Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6678701Z x = stage(x) 2025-12-04T08:56:29.6678926Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:56:29.6679002Z out = self.conv2(out) 2025-12-04T08:56:29.6679214Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6679280Z x = F.conv2d( 2025-12-04T08:56:29.6679284Z 2025-12-04T08:56:29.6679381Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6679689Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6679775Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6680003Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6680079Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6680318Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6680392Z x = stage(x) 2025-12-04T08:56:29.6680630Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:56:29.6680691Z out = F.relu_(out) 2025-12-04T08:56:29.6680694Z 2025-12-04T08:56:29.6680791Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6681088Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6681166Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6681428Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6681503Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6681731Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6681797Z x = stage(x) 2025-12-04T08:56:29.6682027Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:56:29.6682095Z out = self.conv3(out) 2025-12-04T08:56:29.6682430Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6682499Z x = F.conv2d( 2025-12-04T08:56:29.6682503Z 2025-12-04T08:56:29.6682618Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6682928Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6683013Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6683259Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6683338Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6683590Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6683653Z x = stage(x) 2025-12-04T08:56:29.6683894Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:56:29.6683967Z out = F.relu_(out) 2025-12-04T08:56:29.6683970Z 2025-12-04T08:56:29.6684067Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6684449Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6684536Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6684763Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6684844Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6685074Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6685132Z x = stage(x) 2025-12-04T08:56:29.6685364Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:56:29.6685426Z out = self.conv1(x) 2025-12-04T08:56:29.6685655Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6685720Z x = F.conv2d( 2025-12-04T08:56:29.6685723Z 2025-12-04T08:56:29.6685825Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6686122Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6686200Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6686425Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6686526Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6686762Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6686828Z x = stage(x) 2025-12-04T08:56:29.6687063Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:56:29.6687127Z out = F.relu_(out) 2025-12-04T08:56:29.6687130Z 2025-12-04T08:56:29.6687236Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6687529Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6687608Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6687843Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6687920Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6688160Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6688218Z x = stage(x) 2025-12-04T08:56:29.6688446Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:56:29.6688521Z out = self.conv2(out) 2025-12-04T08:56:29.6688733Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6688801Z x = F.conv2d( 2025-12-04T08:56:29.6688804Z 2025-12-04T08:56:29.6688902Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6689195Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6689282Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6689510Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6689587Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6689826Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6689887Z x = stage(x) 2025-12-04T08:56:29.6690126Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:56:29.6690187Z out = F.relu_(out) 2025-12-04T08:56:29.6690220Z 2025-12-04T08:56:29.6690323Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6690622Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6690701Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6690935Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6691011Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6691240Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6691322Z x = stage(x) 2025-12-04T08:56:29.6691552Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:56:29.6691617Z out = self.conv3(out) 2025-12-04T08:56:29.6691838Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6691897Z x = F.conv2d( 2025-12-04T08:56:29.6691900Z 2025-12-04T08:56:29.6692015Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6692308Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6692403Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6692635Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6692709Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6692945Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6693003Z x = stage(x) 2025-12-04T08:56:29.6693234Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:56:29.6693304Z out = F.relu_(out) 2025-12-04T08:56:29.6693307Z 2025-12-04T08:56:29.6693405Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6693691Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6693777Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6694000Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6694083Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6694313Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6694370Z x = stage(x) 2025-12-04T08:56:29.6694608Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:56:29.6694672Z out = self.conv1(x) 2025-12-04T08:56:29.6694880Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6694947Z x = F.conv2d( 2025-12-04T08:56:29.6694950Z 2025-12-04T08:56:29.6695048Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6695348Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6695426Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6695658Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6695743Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6695964Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6696067Z x = stage(x) 2025-12-04T08:56:29.6696290Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:56:29.6696349Z out = F.relu_(out) 2025-12-04T08:56:29.6696353Z 2025-12-04T08:56:29.6696454Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6696740Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6696822Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6697041Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6697131Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6697360Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6697419Z x = stage(x) 2025-12-04T08:56:29.6697642Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:56:29.6697713Z out = self.conv2(out) 2025-12-04T08:56:29.6697917Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6697996Z x = F.conv2d( 2025-12-04T08:56:29.6697999Z 2025-12-04T08:56:29.6698095Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6698390Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6698477Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6698698Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6698772Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6699010Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6699066Z x = stage(x) 2025-12-04T08:56:29.6699299Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:56:29.6699361Z out = F.relu_(out) 2025-12-04T08:56:29.6699364Z 2025-12-04T08:56:29.6699459Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6699757Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6699833Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6700065Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6700140Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6700372Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6700437Z x = stage(x) 2025-12-04T08:56:29.6700665Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:56:29.6700728Z out = self.conv3(out) 2025-12-04T08:56:29.6700944Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6701002Z x = F.conv2d( 2025-12-04T08:56:29.6701005Z 2025-12-04T08:56:29.6701108Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6701399Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6701478Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6701737Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6701813Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6702048Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6702106Z x = stage(x) 2025-12-04T08:56:29.6702327Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:56:29.6702397Z out = F.relu_(out) 2025-12-04T08:56:29.6702400Z 2025-12-04T08:56:29.6702495Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6702780Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6702881Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6703103Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6703186Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6703410Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6703466Z x = stage(x) 2025-12-04T08:56:29.6703695Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:56:29.6703778Z out = self.conv1(x) 2025-12-04T08:56:29.6703992Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6704050Z x = F.conv2d( 2025-12-04T08:56:29.6704053Z 2025-12-04T08:56:29.6704151Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6704442Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6704520Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6704739Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6704820Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6705043Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6705108Z x = stage(x) 2025-12-04T08:56:29.6705330Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:56:29.6705390Z out = F.relu_(out) 2025-12-04T08:56:29.6705393Z 2025-12-04T08:56:29.6705496Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6705779Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6705861Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6706080Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6706154Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6706381Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6706439Z x = stage(x) 2025-12-04T08:56:29.6706660Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:56:29.6706730Z out = self.conv2(out) 2025-12-04T08:56:29.6706932Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6706996Z x = F.conv2d( 2025-12-04T08:56:29.6706999Z 2025-12-04T08:56:29.6707094Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6707403Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6707488Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6707711Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6707796Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6708028Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6708143Z x = stage(x) 2025-12-04T08:56:29.6708423Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:56:29.6708531Z out = F.relu_(out) 2025-12-04T08:56:29.6708534Z 2025-12-04T08:56:29.6708658Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6709209Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6709319Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6709586Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6709693Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6709963Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6710063Z x = stage(x) 2025-12-04T08:56:29.6710329Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:56:29.6710453Z out = self.conv3(out) 2025-12-04T08:56:29.6727940Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6728135Z x = F.conv2d( 2025-12-04T08:56:29.6728144Z 2025-12-04T08:56:29.6728302Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6728661Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6728753Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6729004Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6729093Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6729333Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6729402Z x = stage(x) 2025-12-04T08:56:29.6729672Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:56:29.6729750Z out = F.relu_(out) 2025-12-04T08:56:29.6729755Z 2025-12-04T08:56:29.6729894Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6730201Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6730294Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6730524Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6730606Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6730849Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6730911Z x = stage(x) 2025-12-04T08:56:29.6731150Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:56:29.6731219Z out = self.conv1(x) 2025-12-04T08:56:29.6731433Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6731667Z x = F.conv2d( 2025-12-04T08:56:29.6731672Z 2025-12-04T08:56:29.6731778Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6732076Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6732167Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6732399Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6732488Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6732716Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6732820Z x = stage(x) 2025-12-04T08:56:29.6733060Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:56:29.6733127Z out = F.relu_(out) 2025-12-04T08:56:29.6733131Z 2025-12-04T08:56:29.6733235Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6733539Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6733618Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6733881Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6733962Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6734191Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6734262Z x = stage(x) 2025-12-04T08:56:29.6734490Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:56:29.6734560Z out = self.conv2(out) 2025-12-04T08:56:29.6734783Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6734844Z x = F.conv2d( 2025-12-04T08:56:29.6734847Z 2025-12-04T08:56:29.6734956Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6735245Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6735327Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6735559Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6735638Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6735871Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6735930Z x = stage(x) 2025-12-04T08:56:29.6736160Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:56:29.6736230Z out = F.relu_(out) 2025-12-04T08:56:29.6736234Z 2025-12-04T08:56:29.6736336Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6736632Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6736718Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6736933Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6737016Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6737240Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6737296Z x = stage(x) 2025-12-04T08:56:29.6737612Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:56:29.6737678Z out = self.conv3(out) 2025-12-04T08:56:29.6737892Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6737950Z x = F.conv2d( 2025-12-04T08:56:29.6737953Z 2025-12-04T08:56:29.6738050Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6738340Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6738418Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6738634Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6738732Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6738955Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6739019Z x = stage(x) 2025-12-04T08:56:29.6739240Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:56:29.6739302Z out = F.relu_(out) 2025-12-04T08:56:29.6739305Z 2025-12-04T08:56:29.6739410Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6739711Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6739793Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6740010Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6740084Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6740315Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6740374Z x = stage(x) 2025-12-04T08:56:29.6740596Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:56:29.6740665Z out = self.conv1(x) 2025-12-04T08:56:29.6740867Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6740931Z x = F.conv2d( 2025-12-04T08:56:29.6740934Z 2025-12-04T08:56:29.6741030Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6741312Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6741395Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6741614Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6741695Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6741919Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6741976Z x = stage(x) 2025-12-04T08:56:29.6742204Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:56:29.6742267Z out = F.relu_(out) 2025-12-04T08:56:29.6742270Z 2025-12-04T08:56:29.6742365Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6742655Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6742732Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6742957Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6743032Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6743300Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6743369Z x = stage(x) 2025-12-04T08:56:29.6743600Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:56:29.6743668Z out = self.conv2(out) 2025-12-04T08:56:29.6743887Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6743946Z x = F.conv2d( 2025-12-04T08:56:29.6743949Z 2025-12-04T08:56:29.6744066Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6744352Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6744445Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6744677Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6744752Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6744981Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6745040Z x = stage(x) 2025-12-04T08:56:29.6745293Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:56:29.6745365Z out = F.relu_(out) 2025-12-04T08:56:29.6745368Z 2025-12-04T08:56:29.6745463Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6745749Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6745826Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6746045Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6746125Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6746346Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6746403Z x = stage(x) 2025-12-04T08:56:29.6746636Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:56:29.6746701Z out = self.conv3(out) 2025-12-04T08:56:29.6746912Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6746969Z x = F.conv2d( 2025-12-04T08:56:29.6746974Z 2025-12-04T08:56:29.6747067Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6747356Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6747434Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6747649Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6747730Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6747951Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6748016Z x = stage(x) 2025-12-04T08:56:29.6748235Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:56:29.6748295Z out = F.relu_(out) 2025-12-04T08:56:29.6748298Z 2025-12-04T08:56:29.6748403Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6748683Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6748792Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6749012Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6749086Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6749317Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6749374Z x = stage(x) 2025-12-04T08:56:29.6749598Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:56:29.6749668Z out = self.conv1(x) 2025-12-04T08:56:29.6749873Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6749953Z x = F.conv2d( 2025-12-04T08:56:29.6749957Z 2025-12-04T08:56:29.6750053Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6750339Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6750424Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6750643Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6750723Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6750960Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6751017Z x = stage(x) 2025-12-04T08:56:29.6751248Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:56:29.6751310Z out = F.relu_(out) 2025-12-04T08:56:29.6751313Z 2025-12-04T08:56:29.6751409Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6751702Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6751777Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6752001Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6752075Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6752298Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6752361Z x = stage(x) 2025-12-04T08:56:29.6752584Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:56:29.6752654Z out = self.conv2(out) 2025-12-04T08:56:29.6752856Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6752913Z x = F.conv2d( 2025-12-04T08:56:29.6752916Z 2025-12-04T08:56:29.6753020Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6753300Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6753374Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6753598Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6753672Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6753902Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6753957Z x = stage(x) 2025-12-04T08:56:29.6754182Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:56:29.6754249Z out = F.relu_(out) 2025-12-04T08:56:29.6754252Z 2025-12-04T08:56:29.6754376Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6754664Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6754740Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6754954Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6755034Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6755261Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6755320Z x = stage(x) 2025-12-04T08:56:29.6755578Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:56:29.6755650Z out = self.conv3(out) 2025-12-04T08:56:29.6755864Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6755921Z x = F.conv2d( 2025-12-04T08:56:29.6755924Z 2025-12-04T08:56:29.6756020Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6756314Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6756409Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6756630Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6756713Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6756948Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6757012Z x = stage(x) 2025-12-04T08:56:29.6757234Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:56:29.6757297Z out = F.relu_(out) 2025-12-04T08:56:29.6757300Z 2025-12-04T08:56:29.6757403Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6757684Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6757769Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6757986Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6758061Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6758295Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6758355Z x = stage(x) 2025-12-04T08:56:29.6758582Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:56:29.6758653Z out = self.conv1(x) 2025-12-04T08:56:29.6758867Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6758933Z x = F.conv2d( 2025-12-04T08:56:29.6758936Z 2025-12-04T08:56:29.6759034Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6759329Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6759417Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6759642Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6759728Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6759957Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6760016Z x = stage(x) 2025-12-04T08:56:29.6760288Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:56:29.6760351Z out = F.relu_(out) 2025-12-04T08:56:29.6760355Z 2025-12-04T08:56:29.6760453Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6760749Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6760829Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6761057Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6761131Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6761377Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6761445Z x = stage(x) 2025-12-04T08:56:29.6761680Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:56:29.6761752Z out = self.conv2(out) 2025-12-04T08:56:29.6761963Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6762022Z x = F.conv2d( 2025-12-04T08:56:29.6762026Z 2025-12-04T08:56:29.6762226Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6762526Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6762607Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6762843Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6762923Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6763169Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6763229Z x = stage(x) 2025-12-04T08:56:29.6763464Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:56:29.6763536Z out = F.relu_(out) 2025-12-04T08:56:29.6763539Z 2025-12-04T08:56:29.6763640Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6763954Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6764033Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6764254Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6764340Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6764570Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6764628Z x = stage(x) 2025-12-04T08:56:29.6764863Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:56:29.6764928Z out = self.conv3(out) 2025-12-04T08:56:29.6765146Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6765206Z x = F.conv2d( 2025-12-04T08:56:29.6765210Z 2025-12-04T08:56:29.6765307Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6765604Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6765682Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6765909Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6766029Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6766258Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6766324Z x = stage(x) 2025-12-04T08:56:29.6766550Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:56:29.6766615Z out = F.relu_(out) 2025-12-04T08:56:29.6766617Z 2025-12-04T08:56:29.6766721Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6767010Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6767112Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6767339Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6767414Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6767657Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6767714Z x = stage(x) 2025-12-04T08:56:29.6767943Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:56:29.6768029Z out = self.conv1(x) 2025-12-04T08:56:29.6768243Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6768307Z x = F.conv2d( 2025-12-04T08:56:29.6768310Z 2025-12-04T08:56:29.6768409Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6768707Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6768793Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6769024Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6769109Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6769342Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6769399Z x = stage(x) 2025-12-04T08:56:29.6769638Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:56:29.6769699Z out = F.relu_(out) 2025-12-04T08:56:29.6769702Z 2025-12-04T08:56:29.6769800Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6770102Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6770181Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6770418Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6770495Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6770727Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6770793Z x = stage(x) 2025-12-04T08:56:29.6771026Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:56:29.6771099Z out = self.conv2(out) 2025-12-04T08:56:29.6771314Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6771374Z x = F.conv2d( 2025-12-04T08:56:29.6771379Z 2025-12-04T08:56:29.6771487Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6771783Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6771892Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6772126Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6772204Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6772439Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6772499Z x = stage(x) 2025-12-04T08:56:29.6772727Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:56:29.6772797Z out = F.relu_(out) 2025-12-04T08:56:29.6772800Z 2025-12-04T08:56:29.6772918Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6773217Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6773298Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6773523Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6773608Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6773840Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6773925Z x = stage(x) 2025-12-04T08:56:29.6774160Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:56:29.6774222Z out = self.conv3(out) 2025-12-04T08:56:29.6774433Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6774492Z x = F.conv2d( 2025-12-04T08:56:29.6774495Z 2025-12-04T08:56:29.6774590Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6774883Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6774960Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6775185Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6775259Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6775483Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6775546Z x = stage(x) 2025-12-04T08:56:29.6775769Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:56:29.6775831Z out = F.relu_(out) 2025-12-04T08:56:29.6775834Z 2025-12-04T08:56:29.6775938Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6776223Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6776308Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6776524Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6776597Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6776832Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6776888Z x = stage(x) 2025-12-04T08:56:29.6777117Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:56:29.6777180Z out = self.conv1(x) 2025-12-04T08:56:29.6777385Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6777448Z x = F.conv2d( 2025-12-04T08:56:29.6777451Z 2025-12-04T08:56:29.6777574Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6777859Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6777941Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6778159Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6778241Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6778464Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6778538Z x = stage(x) 2025-12-04T08:56:29.6778772Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:56:29.6778833Z out = F.relu_(out) 2025-12-04T08:56:29.6778836Z 2025-12-04T08:56:29.6778940Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6779229Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6779305Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6779530Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6779618Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6779841Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6779904Z x = stage(x) 2025-12-04T08:56:29.6780127Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:56:29.6780198Z out = self.conv2(out) 2025-12-04T08:56:29.6780404Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6780461Z x = F.conv2d( 2025-12-04T08:56:29.6780464Z 2025-12-04T08:56:29.6780567Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6780849Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6780934Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6781151Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6781225Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6781452Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6781510Z x = stage(x) 2025-12-04T08:56:29.6781729Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:56:29.6781799Z out = F.relu_(out) 2025-12-04T08:56:29.6781802Z 2025-12-04T08:56:29.6781897Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6782189Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6782265Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6782480Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6782561Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6782784Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6782848Z x = stage(x) 2025-12-04T08:56:29.6783070Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:56:29.6783164Z out = self.conv3(out) 2025-12-04T08:56:29.6783377Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6783433Z x = F.conv2d( 2025-12-04T08:56:29.6783436Z 2025-12-04T08:56:29.6783532Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6783825Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6783900Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6784124Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6784214Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6784438Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6784503Z x = stage(x) 2025-12-04T08:56:29.6784727Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:56:29.6784787Z out = F.relu_(out) 2025-12-04T08:56:29.6784798Z 2025-12-04T08:56:29.6784893Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6785176Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6785282Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6785496Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6785571Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6785799Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6785855Z x = stage(x) 2025-12-04T08:56:29.6786084Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:56:29.6786146Z out = self.conv1(x) 2025-12-04T08:56:29.6786349Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6786413Z x = F.conv2d( 2025-12-04T08:56:29.6786417Z 2025-12-04T08:56:29.6786512Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6786797Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6786878Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6787094Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6787176Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6787400Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6787456Z x = stage(x) 2025-12-04T08:56:29.6787683Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:56:29.6787742Z out = F.relu_(out) 2025-12-04T08:56:29.6787745Z 2025-12-04T08:56:29.6787849Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6788131Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6788206Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6788428Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6788502Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6788753Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6788820Z x = stage(x) 2025-12-04T08:56:29.6789041Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:56:29.6789110Z out = self.conv2(out) 2025-12-04T08:56:29.6789310Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6789367Z x = F.conv2d( 2025-12-04T08:56:29.6789370Z 2025-12-04T08:56:29.6789472Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6789750Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6789849Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6790066Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6790142Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6790372Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6790429Z x = stage(x) 2025-12-04T08:56:29.6790650Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:56:29.6790732Z out = F.relu_(out) 2025-12-04T08:56:29.6790735Z 2025-12-04T08:56:29.6790831Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6791121Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6791198Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6791415Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6791497Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6791720Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6791782Z x = stage(x) 2025-12-04T08:56:29.6792006Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:56:29.6792069Z out = self.conv3(out) 2025-12-04T08:56:29.6792277Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6792334Z x = F.conv2d( 2025-12-04T08:56:29.6792337Z 2025-12-04T08:56:29.6792430Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6792729Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6792807Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6793041Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6793126Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6793349Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6793414Z x = stage(x) 2025-12-04T08:56:29.6793639Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:56:29.6793697Z out = F.relu_(out) 2025-12-04T08:56:29.6793707Z 2025-12-04T08:56:29.6793802Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6794088Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6794173Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6794428Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6794504Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6794734Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6794792Z x = stage(x) 2025-12-04T08:56:29.6795027Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:56:29.6795088Z out = self.conv1(x) 2025-12-04T08:56:29.6795295Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6795362Z x = F.conv2d( 2025-12-04T08:56:29.6795383Z 2025-12-04T08:56:29.6795479Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6795775Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6795863Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6796100Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6796181Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6796407Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6796481Z x = stage(x) 2025-12-04T08:56:29.6796720Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:56:29.6796781Z out = F.relu_(out) 2025-12-04T08:56:29.6796786Z 2025-12-04T08:56:29.6796888Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6797180Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6797259Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6797490Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6797563Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6797792Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6797856Z x = stage(x) 2025-12-04T08:56:29.6798089Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:56:29.6798160Z out = self.conv2(out) 2025-12-04T08:56:29.6798370Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6798428Z x = F.conv2d( 2025-12-04T08:56:29.6798430Z 2025-12-04T08:56:29.6798535Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6798827Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6798913Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6799137Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6799211Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6799448Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6799506Z x = stage(x) 2025-12-04T08:56:29.6799736Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:56:29.6799806Z out = F.relu_(out) 2025-12-04T08:56:29.6799809Z 2025-12-04T08:56:29.6799909Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6800244Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6800324Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6800546Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6800631Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6800861Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6800927Z x = stage(x) 2025-12-04T08:56:29.6801156Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:56:29.6801238Z out = self.conv3(out) 2025-12-04T08:56:29.6801455Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6801513Z x = F.conv2d( 2025-12-04T08:56:29.6801516Z 2025-12-04T08:56:29.6801616Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6801916Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6801994Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6802326Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6802407Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6802633Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6802703Z x = stage(x) 2025-12-04T08:56:29.6802931Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:56:29.6803002Z out = F.relu_(out) 2025-12-04T08:56:29.6803005Z 2025-12-04T08:56:29.6803105Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6803396Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6803486Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6803711Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6803789Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6804033Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6804095Z x = stage(x) 2025-12-04T08:56:29.6804347Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:56:29.6804415Z out = self.conv1(x) 2025-12-04T08:56:29.6804638Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6804710Z x = F.conv2d( 2025-12-04T08:56:29.6804714Z 2025-12-04T08:56:29.6804816Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6805130Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6805222Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6805442Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6805525Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6805753Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6805810Z x = stage(x) 2025-12-04T08:56:29.6806078Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:56:29.6806141Z out = F.relu_(out) 2025-12-04T08:56:29.6806144Z 2025-12-04T08:56:29.6806249Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6806539Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6806617Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6806848Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6806923Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6807162Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6807247Z x = stage(x) 2025-12-04T08:56:29.6807474Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:56:29.6807548Z out = self.conv2(out) 2025-12-04T08:56:29.6807759Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6807818Z x = F.conv2d( 2025-12-04T08:56:29.6807821Z 2025-12-04T08:56:29.6807925Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6808233Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6808316Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6808541Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6808618Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6808856Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6808913Z x = stage(x) 2025-12-04T08:56:29.6809147Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:56:29.6809217Z out = F.relu_(out) 2025-12-04T08:56:29.6809219Z 2025-12-04T08:56:29.6809317Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6809616Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6809695Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6809919Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6810006Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6810235Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6810301Z x = stage(x) 2025-12-04T08:56:29.6810533Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:56:29.6810598Z out = self.conv3(out) 2025-12-04T08:56:29.6810816Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6810876Z x = F.conv2d( 2025-12-04T08:56:29.6810880Z 2025-12-04T08:56:29.6810980Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6811281Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6811358Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6811590Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6811669Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6811927Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6811993Z x = stage(x) 2025-12-04T08:56:29.6812221Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward 2025-12-04T08:56:29.6812301Z shortcut = self.shortcut(x) 2025-12-04T08:56:29.6812510Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6812568Z x = F.conv2d( 2025-12-04T08:56:29.6812571Z 2025-12-04T08:56:29.6812676Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6812965Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6813061Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6813292Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6813368Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6813601Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6813660Z x = stage(x) 2025-12-04T08:56:29.6813889Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:56:29.6813978Z out = self.conv1(x) 2025-12-04T08:56:29.6814192Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6814249Z x = F.conv2d( 2025-12-04T08:56:29.6814258Z 2025-12-04T08:56:29.6814358Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6814651Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6814739Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6814962Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6815037Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6815274Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6815336Z x = stage(x) 2025-12-04T08:56:29.6815713Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:56:29.6815783Z out = F.relu_(out) 2025-12-04T08:56:29.6815786Z 2025-12-04T08:56:29.6815886Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6816193Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6816274Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6816506Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6816582Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6816811Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6816887Z x = stage(x) 2025-12-04T08:56:29.6817111Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:56:29.6817173Z out = self.conv2(out) 2025-12-04T08:56:29.6817384Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6817444Z x = F.conv2d( 2025-12-04T08:56:29.6817447Z 2025-12-04T08:56:29.6817551Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6817897Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6817974Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6818196Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6818270Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6818498Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6818566Z x = stage(x) 2025-12-04T08:56:29.6818788Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:56:29.6818882Z out = F.relu_(out) 2025-12-04T08:56:29.6818885Z 2025-12-04T08:56:29.6818982Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6819272Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6819356Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6819576Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6819658Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6819904Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6819960Z x = stage(x) 2025-12-04T08:56:29.6820188Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:56:29.6820250Z out = self.conv3(out) 2025-12-04T08:56:29.6820453Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6820517Z x = F.conv2d( 2025-12-04T08:56:29.6820520Z 2025-12-04T08:56:29.6820617Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6820903Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6820978Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6821192Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6821278Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6821497Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6821561Z x = stage(x) 2025-12-04T08:56:29.6821785Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:56:29.6821846Z out = F.relu_(out) 2025-12-04T08:56:29.6821849Z 2025-12-04T08:56:29.6821953Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6822232Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6822308Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6822531Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6822607Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6822837Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6822892Z x = stage(x) 2025-12-04T08:56:29.6823114Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:56:29.6823186Z out = self.conv1(x) 2025-12-04T08:56:29.6823421Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6823480Z x = F.conv2d( 2025-12-04T08:56:29.6823490Z 2025-12-04T08:56:29.6823587Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6823874Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6823961Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6824182Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6824257Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6824491Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6824566Z x = stage(x) 2025-12-04T08:56:29.6824802Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:56:29.6824866Z out = F.relu_(out) 2025-12-04T08:56:29.6824869Z 2025-12-04T08:56:29.6824964Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6825260Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6825337Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6825628Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6825701Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6825926Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6825992Z x = stage(x) 2025-12-04T08:56:29.6826217Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:56:29.6826279Z out = self.conv2(out) 2025-12-04T08:56:29.6826494Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6826550Z x = F.conv2d( 2025-12-04T08:56:29.6826553Z 2025-12-04T08:56:29.6826657Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6826942Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6827019Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6827248Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6827324Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6827547Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6827613Z x = stage(x) 2025-12-04T08:56:29.6827840Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:56:29.6827909Z out = F.relu_(out) 2025-12-04T08:56:29.6827913Z 2025-12-04T08:56:29.6828009Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6828295Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6828378Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6828615Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6828687Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6828920Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6828977Z x = stage(x) 2025-12-04T08:56:29.6829241Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:56:29.6829314Z out = self.conv3(out) 2025-12-04T08:56:29.6829518Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6829575Z x = F.conv2d( 2025-12-04T08:56:29.6829578Z 2025-12-04T08:56:29.6829682Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6829965Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6830047Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6830266Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:56:29.6830356Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:56:29.6830589Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:56:29.6830645Z x = stage(x) 2025-12-04T08:56:29.6830875Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:56:29.6830936Z out = F.relu_(out) 2025-12-04T08:56:29.6830938Z 2025-12-04T08:56:29.6831035Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6831344Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6831422Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6831635Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 141, in forward 2025-12-04T08:56:29.6831795Z prev_features = self.lateral_convs[0](bottom_up_features[self.in_features[-1]]) 2025-12-04T08:56:29.6832003Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6832068Z x = F.conv2d( 2025-12-04T08:56:29.6832071Z 2025-12-04T08:56:29.6832152Z cudagraph partition due to non gpu ops 2025-12-04T08:56:29.6832248Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6832536Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6832615Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6832839Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 142, in forward 2025-12-04T08:56:29.6832942Z results.append(self.output_convs[0](prev_features)) 2025-12-04T08:56:29.6833148Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6833212Z x = F.conv2d( 2025-12-04T08:56:29.6833215Z 2025-12-04T08:56:29.6833311Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6833593Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6833674Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6833889Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 154, in forward 2025-12-04T08:56:29.6833983Z lateral_features = lateral_conv(features) 2025-12-04T08:56:29.6834185Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6834243Z x = F.conv2d( 2025-12-04T08:56:29.6834247Z 2025-12-04T08:56:29.6834349Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6834632Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6834793Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6835010Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 154, in forward 2025-12-04T08:56:29.6835094Z lateral_features = lateral_conv(features) 2025-12-04T08:56:29.6835303Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6835361Z x = F.conv2d( 2025-12-04T08:56:29.6835364Z 2025-12-04T08:56:29.6835463Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6835744Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6835839Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6836062Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 154, in forward 2025-12-04T08:56:29.6836142Z lateral_features = lateral_conv(features) 2025-12-04T08:56:29.6836342Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6836405Z x = F.conv2d( 2025-12-04T08:56:29.6836408Z 2025-12-04T08:56:29.6836501Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6836814Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6836890Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6837107Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 155, in forward 2025-12-04T08:56:29.6837220Z prev_features = lateral_features + top_down_features 2025-12-04T08:56:29.6837224Z 2025-12-04T08:56:29.6837319Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6837612Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6837688Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6837906Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 155, in forward 2025-12-04T08:56:29.6838015Z prev_features = lateral_features + top_down_features 2025-12-04T08:56:29.6838019Z 2025-12-04T08:56:29.6838113Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6838402Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6838479Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6838699Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 155, in forward 2025-12-04T08:56:29.6838801Z prev_features = lateral_features + top_down_features 2025-12-04T08:56:29.6838807Z 2025-12-04T08:56:29.6838886Z cudagraph partition due to non gpu ops 2025-12-04T08:56:29.6838961Z cudagraph partition due to non gpu ops 2025-12-04T08:56:29.6839044Z cudagraph partition due to non gpu ops 2025-12-04T08:56:29.6839138Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6839429Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6839508Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6839729Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 165, in forward 2025-12-04T08:56:29.6839840Z results.extend(self.top_block(top_block_in_feature)) 2025-12-04T08:56:29.6840058Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 200, in forward 2025-12-04T08:56:29.6840202Z return [F.max_pool2d(x, kernel_size=1, stride=2, padding=0)] 2025-12-04T08:56:29.6840213Z 2025-12-04T08:56:29.6840311Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6840596Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6840680Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6840902Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 158, in forward 2025-12-04T08:56:29.6840993Z results.insert(0, output_conv(prev_features)) 2025-12-04T08:56:29.6841211Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6841285Z x = F.conv2d( 2025-12-04T08:56:29.6841288Z 2025-12-04T08:56:29.6841394Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6841688Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6841763Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6841994Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 158, in forward 2025-12-04T08:56:29.6842086Z results.insert(0, output_conv(prev_features)) 2025-12-04T08:56:29.6842425Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6842500Z x = F.conv2d( 2025-12-04T08:56:29.6842504Z 2025-12-04T08:56:29.6842613Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:29.6842958Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:56:29.6843049Z features = self.backbone(images.tensor) 2025-12-04T08:56:29.6843309Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 158, in forward 2025-12-04T08:56:29.6843418Z results.insert(0, output_conv(prev_features)) 2025-12-04T08:56:29.6843663Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:29.6843737Z x = F.conv2d( 2025-12-04T08:56:29.6843742Z 2025-12-04T08:56:41.6079465Z cudagraph partition due to non gpu ops 2025-12-04T08:56:41.6079754Z cudagraph partition due to non gpu ops 2025-12-04T08:56:41.6079963Z cudagraph partition due to non gpu ops 2025-12-04T08:56:41.6080161Z cudagraph partition due to non gpu ops 2025-12-04T08:56:41.6080366Z cudagraph partition due to non gpu ops 2025-12-04T08:56:41.6080596Z cudagraph partition due to non gpu ops 2025-12-04T08:56:41.6080788Z cudagraph partition due to non gpu ops 2025-12-04T08:56:41.6080987Z cudagraph partition due to non gpu ops 2025-12-04T08:56:41.6081185Z cudagraph partition due to non gpu ops 2025-12-04T08:56:41.6081426Z cudagraph partition due to non gpu ops 2025-12-04T08:56:41.6081666Z cudagraph partition due to non gpu ops 2025-12-04T08:56:41.6081865Z cudagraph partition due to non gpu ops 2025-12-04T08:56:41.6082071Z cudagraph partition due to non gpu ops 2025-12-04T08:56:41.6082356Z cudagraph partition due to non gpu ops 2025-12-04T08:56:41.6082572Z cudagraph partition due to non gpu ops 2025-12-04T08:56:41.6082787Z cudagraph partition due to non gpu ops 2025-12-04T08:56:41.6082990Z cudagraph partition due to non gpu ops 2025-12-04T08:56:41.6083209Z cudagraph partition due to non gpu ops 2025-12-04T08:56:41.6083411Z cudagraph partition due to non gpu ops 2025-12-04T08:56:41.6083641Z cudagraph partition due to non gpu ops 2025-12-04T08:56:41.6083846Z cudagraph partition due to non gpu ops 2025-12-04T08:56:41.6084043Z cudagraph partition due to non gpu ops 2025-12-04T08:56:41.6084236Z cudagraph partition due to non gpu ops 2025-12-04T08:56:41.6084427Z cudagraph partition due to non gpu ops 2025-12-04T08:56:41.6085031Z cudagraph partition due to non gpu ops 2025-12-04T08:56:41.6085282Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:41.6085752Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward 2025-12-04T08:56:41.6086210Z pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features) 2025-12-04T08:56:41.6086676Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 174, in forward 2025-12-04T08:56:41.6087057Z t = self.conv(x) 2025-12-04T08:56:41.6087380Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:41.6087814Z x = F.conv2d( 2025-12-04T08:56:41.6088458Z 2025-12-04T08:56:41.6088717Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:41.6089469Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward 2025-12-04T08:56:41.6090193Z pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features) 2025-12-04T08:56:41.6090900Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 174, in forward 2025-12-04T08:56:41.6091495Z t = self.conv(x) 2025-12-04T08:56:41.6091999Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 148, in forward 2025-12-04T08:56:41.6092743Z x = self.activation(x) 2025-12-04T08:56:41.6092924Z 2025-12-04T08:56:41.6093041Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:41.6093629Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward 2025-12-04T08:56:41.6094081Z pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features) 2025-12-04T08:56:41.6094527Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 175, in forward 2025-12-04T08:56:41.6094953Z pred_objectness_logits.append(self.objectness_logits(t)) 2025-12-04T08:56:41.6095122Z 2025-12-04T08:56:41.6095234Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:41.6095642Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward 2025-12-04T08:56:41.6096159Z pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features) 2025-12-04T08:56:41.6096603Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 174, in forward 2025-12-04T08:56:41.6096977Z t = self.conv(x) 2025-12-04T08:56:41.6097288Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:41.6097625Z x = F.conv2d( 2025-12-04T08:56:41.6097719Z 2025-12-04T08:56:41.6097828Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:41.6098269Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward 2025-12-04T08:56:41.6098705Z pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features) 2025-12-04T08:56:41.6099140Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 174, in forward 2025-12-04T08:56:41.6099507Z t = self.conv(x) 2025-12-04T08:56:41.6099811Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 148, in forward 2025-12-04T08:56:41.6100158Z x = self.activation(x) 2025-12-04T08:56:41.6100271Z 2025-12-04T08:56:41.6100370Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:41.6100783Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward 2025-12-04T08:56:41.6101269Z pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features) 2025-12-04T08:56:41.6101712Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 175, in forward 2025-12-04T08:56:41.6102131Z pred_objectness_logits.append(self.objectness_logits(t)) 2025-12-04T08:56:41.6102297Z 2025-12-04T08:56:41.6102402Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:41.6102803Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward 2025-12-04T08:56:41.6103242Z pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features) 2025-12-04T08:56:41.6103676Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 174, in forward 2025-12-04T08:56:41.6104069Z t = self.conv(x) 2025-12-04T08:56:41.6104371Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:41.6104698Z x = F.conv2d( 2025-12-04T08:56:41.6104791Z 2025-12-04T08:56:41.6104900Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:41.6105293Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward 2025-12-04T08:56:41.6105727Z pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features) 2025-12-04T08:56:41.6106211Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 174, in forward 2025-12-04T08:56:41.6106575Z t = self.conv(x) 2025-12-04T08:56:41.6106873Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 148, in forward 2025-12-04T08:56:41.6107213Z x = self.activation(x) 2025-12-04T08:56:41.6107319Z 2025-12-04T08:56:41.6107425Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:41.6107825Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward 2025-12-04T08:56:41.6108262Z pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features) 2025-12-04T08:56:41.6108698Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 175, in forward 2025-12-04T08:56:41.6109116Z pred_objectness_logits.append(self.objectness_logits(t)) 2025-12-04T08:56:41.6109281Z 2025-12-04T08:56:41.6109377Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:41.6109783Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward 2025-12-04T08:56:41.6110216Z pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features) 2025-12-04T08:56:41.6110655Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 174, in forward 2025-12-04T08:56:41.6111016Z t = self.conv(x) 2025-12-04T08:56:41.6111327Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:41.6111663Z x = F.conv2d( 2025-12-04T08:56:41.6111753Z 2025-12-04T08:56:41.6111858Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:41.6112255Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward 2025-12-04T08:56:41.6112696Z pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features) 2025-12-04T08:56:41.6113132Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 174, in forward 2025-12-04T08:56:41.6113491Z t = self.conv(x) 2025-12-04T08:56:41.6113803Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 148, in forward 2025-12-04T08:56:41.6114162Z x = self.activation(x) 2025-12-04T08:56:41.6114267Z 2025-12-04T08:56:41.6114403Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:41.6114801Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward 2025-12-04T08:56:41.6115233Z pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features) 2025-12-04T08:56:41.6115957Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 175, in forward 2025-12-04T08:56:41.6116386Z pred_objectness_logits.append(self.objectness_logits(t)) 2025-12-04T08:56:41.6116550Z 2025-12-04T08:56:41.6116705Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:41.6117112Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward 2025-12-04T08:56:41.6117599Z pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features) 2025-12-04T08:56:41.6118048Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 174, in forward 2025-12-04T08:56:41.6118427Z t = self.conv(x) 2025-12-04T08:56:41.6118849Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:56:41.6119196Z x = F.conv2d( 2025-12-04T08:56:41.6119294Z 2025-12-04T08:56:41.6119396Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:41.6119853Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward 2025-12-04T08:56:41.6120285Z pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features) 2025-12-04T08:56:41.6120723Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 174, in forward 2025-12-04T08:56:41.6121102Z t = self.conv(x) 2025-12-04T08:56:41.6121415Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 148, in forward 2025-12-04T08:56:41.6121755Z x = self.activation(x) 2025-12-04T08:56:41.6121870Z 2025-12-04T08:56:41.6121973Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:41.6122592Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward 2025-12-04T08:56:41.6123055Z pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features) 2025-12-04T08:56:41.6123519Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 175, in forward 2025-12-04T08:56:41.6123962Z pred_objectness_logits.append(self.objectness_logits(t)) 2025-12-04T08:56:41.6124123Z 2025-12-04T08:56:41.6124227Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:41.6124624Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward 2025-12-04T08:56:41.6125070Z pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features) 2025-12-04T08:56:41.6125532Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 176, in forward 2025-12-04T08:56:41.6125952Z pred_anchor_deltas.append(self.anchor_deltas(t)) 2025-12-04T08:56:41.6126106Z 2025-12-04T08:56:41.6126208Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:41.6126632Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward 2025-12-04T08:56:41.6127090Z pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features) 2025-12-04T08:56:41.6127548Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 176, in forward 2025-12-04T08:56:41.6127963Z pred_anchor_deltas.append(self.anchor_deltas(t)) 2025-12-04T08:56:41.6128123Z 2025-12-04T08:56:41.6128228Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:41.6128713Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward 2025-12-04T08:56:41.6129167Z pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features) 2025-12-04T08:56:41.6129625Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 176, in forward 2025-12-04T08:56:41.6130047Z pred_anchor_deltas.append(self.anchor_deltas(t)) 2025-12-04T08:56:41.6130199Z 2025-12-04T08:56:41.6130309Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:41.6130729Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward 2025-12-04T08:56:41.6131207Z pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features) 2025-12-04T08:56:41.6131667Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 176, in forward 2025-12-04T08:56:41.6132093Z pred_anchor_deltas.append(self.anchor_deltas(t)) 2025-12-04T08:56:41.6132247Z 2025-12-04T08:56:41.6132350Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:41.6132780Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward 2025-12-04T08:56:41.6133234Z pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features) 2025-12-04T08:56:41.6133690Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 176, in forward 2025-12-04T08:56:41.6134084Z pred_anchor_deltas.append(self.anchor_deltas(t)) 2025-12-04T08:56:41.6134236Z 2025-12-04T08:56:41.6134336Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:41.6134741Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 452, in forward 2025-12-04T08:56:41.6135129Z anchors = self.anchor_generator(features) 2025-12-04T08:56:41.6135506Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward 2025-12-04T08:56:41.6135952Z anchors_over_all_feature_maps = self._grid_anchors(grid_sizes) # pyre-ignore 2025-12-04T08:56:41.6136406Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 175, in _grid_anchors 2025-12-04T08:56:41.6136830Z shifts = torch.stack((shift_x, shift_y, shift_x, shift_y), dim=1) 2025-12-04T08:56:41.6137009Z 2025-12-04T08:56:41.6137109Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:41.6137518Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 452, in forward 2025-12-04T08:56:41.6137909Z anchors = self.anchor_generator(features) 2025-12-04T08:56:41.6138300Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward 2025-12-04T08:56:41.6138759Z anchors_over_all_feature_maps = self._grid_anchors(grid_sizes) # pyre-ignore 2025-12-04T08:56:41.6139222Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 175, in _grid_anchors 2025-12-04T08:56:41.6139689Z shifts = torch.stack((shift_x, shift_y, shift_x, shift_y), dim=1) 2025-12-04T08:56:41.6139866Z 2025-12-04T08:56:41.6139966Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:41.6140391Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 452, in forward 2025-12-04T08:56:41.6140792Z anchors = self.anchor_generator(features) 2025-12-04T08:56:41.6141175Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward 2025-12-04T08:56:41.6141611Z anchors_over_all_feature_maps = self._grid_anchors(grid_sizes) # pyre-ignore 2025-12-04T08:56:41.6142106Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 175, in _grid_anchors 2025-12-04T08:56:41.6142546Z shifts = torch.stack((shift_x, shift_y, shift_x, shift_y), dim=1) 2025-12-04T08:56:41.6142716Z 2025-12-04T08:56:41.6142818Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:41.6143231Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 452, in forward 2025-12-04T08:56:41.6143633Z anchors = self.anchor_generator(features) 2025-12-04T08:56:41.6144017Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward 2025-12-04T08:56:41.6144490Z anchors_over_all_feature_maps = self._grid_anchors(grid_sizes) # pyre-ignore 2025-12-04T08:56:41.6144952Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 175, in _grid_anchors 2025-12-04T08:56:41.6145387Z shifts = torch.stack((shift_x, shift_y, shift_x, shift_y), dim=1) 2025-12-04T08:56:41.6145560Z 2025-12-04T08:56:41.6145668Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:41.6146080Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 452, in forward 2025-12-04T08:56:41.6146473Z anchors = self.anchor_generator(features) 2025-12-04T08:56:41.6146863Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward 2025-12-04T08:56:41.6147302Z anchors_over_all_feature_maps = self._grid_anchors(grid_sizes) # pyre-ignore 2025-12-04T08:56:41.6147745Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 175, in _grid_anchors 2025-12-04T08:56:41.6148172Z shifts = torch.stack((shift_x, shift_y, shift_x, shift_y), dim=1) 2025-12-04T08:56:41.6148342Z 2025-12-04T08:56:41.6148454Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:41.6148866Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 456, in forward 2025-12-04T08:56:41.6149252Z pred_objectness_logits = [ 2025-12-04T08:56:41.6149640Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 458, in 2025-12-04T08:56:41.6150046Z score.permute(0, 2, 3, 1).flatten(1) 2025-12-04T08:56:41.6150180Z 2025-12-04T08:56:41.6150283Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:41.6150695Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 456, in forward 2025-12-04T08:56:41.6151083Z pred_objectness_logits = [ 2025-12-04T08:56:41.6151465Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 458, in 2025-12-04T08:56:41.6151854Z score.permute(0, 2, 3, 1).flatten(1) 2025-12-04T08:56:41.6151993Z 2025-12-04T08:56:41.6152094Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:41.6152504Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 456, in forward 2025-12-04T08:56:41.6152890Z pred_objectness_logits = [ 2025-12-04T08:56:41.6153267Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 458, in 2025-12-04T08:56:41.6153659Z score.permute(0, 2, 3, 1).flatten(1) 2025-12-04T08:56:41.6153788Z 2025-12-04T08:56:41.6153896Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:41.6154297Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 456, in forward 2025-12-04T08:56:41.6154680Z pred_objectness_logits = [ 2025-12-04T08:56:41.6155088Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 458, in 2025-12-04T08:56:41.6155475Z score.permute(0, 2, 3, 1).flatten(1) 2025-12-04T08:56:41.6155601Z 2025-12-04T08:56:41.6155699Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:41.6156103Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 456, in forward 2025-12-04T08:56:41.6156476Z pred_objectness_logits = [ 2025-12-04T08:56:41.6156846Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 458, in 2025-12-04T08:56:41.6157219Z score.permute(0, 2, 3, 1).flatten(1) 2025-12-04T08:56:41.6157349Z 2025-12-04T08:56:41.6157476Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:41.6157882Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 461, in forward 2025-12-04T08:56:41.6158253Z pred_anchor_deltas = [ 2025-12-04T08:56:41.6158641Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 465, in 2025-12-04T08:56:41.6159064Z .flatten(1, -2) 2025-12-04T08:56:41.6159159Z 2025-12-04T08:56:41.6159263Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:41.6159669Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 461, in forward 2025-12-04T08:56:41.6160076Z pred_anchor_deltas = [ 2025-12-04T08:56:41.6160460Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 465, in 2025-12-04T08:56:41.6160835Z .flatten(1, -2) 2025-12-04T08:56:41.6160930Z 2025-12-04T08:56:41.6161028Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:41.6161431Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 461, in forward 2025-12-04T08:56:41.6161809Z pred_anchor_deltas = [ 2025-12-04T08:56:41.6162371Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 465, in 2025-12-04T08:56:41.6162784Z .flatten(1, -2) 2025-12-04T08:56:41.6162882Z 2025-12-04T08:56:41.6162993Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:41.6163420Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 461, in forward 2025-12-04T08:56:41.6163796Z pred_anchor_deltas = [ 2025-12-04T08:56:41.6164171Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 465, in 2025-12-04T08:56:41.6164562Z .flatten(1, -2) 2025-12-04T08:56:41.6164655Z 2025-12-04T08:56:41.6164756Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:41.6165179Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 461, in forward 2025-12-04T08:56:41.6165603Z pred_anchor_deltas = [ 2025-12-04T08:56:41.6165984Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 465, in 2025-12-04T08:56:41.6166363Z .flatten(1, -2) 2025-12-04T08:56:41.6166464Z 2025-12-04T08:56:41.6166567Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:41.6166984Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 452, in forward 2025-12-04T08:56:41.6167408Z anchors = self.anchor_generator(features) 2025-12-04T08:56:41.6167786Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward 2025-12-04T08:56:41.6168239Z anchors_over_all_feature_maps = self._grid_anchors(grid_sizes) # pyre-ignore 2025-12-04T08:56:41.6168738Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 177, in _grid_anchors 2025-12-04T08:56:41.6169213Z anchors.append((shifts.view(-1, 1, 4) + base_anchors.view(1, -1, 4)).reshape(-1, 4)) 2025-12-04T08:56:41.6169436Z 2025-12-04T08:56:41.6169538Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:41.6169957Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 452, in forward 2025-12-04T08:56:41.6170365Z anchors = self.anchor_generator(features) 2025-12-04T08:56:41.6170744Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward 2025-12-04T08:56:41.6171191Z anchors_over_all_feature_maps = self._grid_anchors(grid_sizes) # pyre-ignore 2025-12-04T08:56:41.6171672Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 177, in _grid_anchors 2025-12-04T08:56:41.6172137Z anchors.append((shifts.view(-1, 1, 4) + base_anchors.view(1, -1, 4)).reshape(-1, 4)) 2025-12-04T08:56:41.6172342Z 2025-12-04T08:56:41.6172443Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:41.6172862Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 452, in forward 2025-12-04T08:56:41.6173260Z anchors = self.anchor_generator(features) 2025-12-04T08:56:41.6173668Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward 2025-12-04T08:56:41.6174106Z anchors_over_all_feature_maps = self._grid_anchors(grid_sizes) # pyre-ignore 2025-12-04T08:56:41.6174620Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 177, in _grid_anchors 2025-12-04T08:56:41.6175091Z anchors.append((shifts.view(-1, 1, 4) + base_anchors.view(1, -1, 4)).reshape(-1, 4)) 2025-12-04T08:56:41.6175298Z 2025-12-04T08:56:41.6175406Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:41.6175820Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 452, in forward 2025-12-04T08:56:41.6176223Z anchors = self.anchor_generator(features) 2025-12-04T08:56:41.6176607Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward 2025-12-04T08:56:41.6177052Z anchors_over_all_feature_maps = self._grid_anchors(grid_sizes) # pyre-ignore 2025-12-04T08:56:41.6177515Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 177, in _grid_anchors 2025-12-04T08:56:41.6177983Z anchors.append((shifts.view(-1, 1, 4) + base_anchors.view(1, -1, 4)).reshape(-1, 4)) 2025-12-04T08:56:41.6178177Z 2025-12-04T08:56:41.6178278Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:41.6178671Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 452, in forward 2025-12-04T08:56:41.6179048Z anchors = self.anchor_generator(features) 2025-12-04T08:56:41.6179415Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward 2025-12-04T08:56:41.6179835Z anchors_over_all_feature_maps = self._grid_anchors(grid_sizes) # pyre-ignore 2025-12-04T08:56:41.6180267Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 177, in _grid_anchors 2025-12-04T08:56:41.6180702Z anchors.append((shifts.view(-1, 1, 4) + base_anchors.view(1, -1, 4)).reshape(-1, 4)) 2025-12-04T08:56:41.6180902Z 2025-12-04T08:56:45.4737868Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:45.4740028Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 502, in predict_proposals 2025-12-04T08:56:45.4741061Z pred_proposals = self._decode_proposals(anchors, pred_anchor_deltas) 2025-12-04T08:56:45.4746145Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 530, in _decode_proposals 2025-12-04T08:56:45.4748004Z proposals_i = self.box2box_transform.apply_deltas(pred_anchor_deltas_i, anchors_i) 2025-12-04T08:56:45.4748706Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/box_regression.py", line 115, in apply_deltas 2025-12-04T08:56:45.4749260Z pred_boxes = torch.stack((x1, y1, x2, y2), dim=-1) 2025-12-04T08:56:45.4749510Z 2025-12-04T08:56:45.4749784Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:45.4750370Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 502, in predict_proposals 2025-12-04T08:56:45.4751032Z pred_proposals = self._decode_proposals(anchors, pred_anchor_deltas) 2025-12-04T08:56:45.4751547Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 530, in _decode_proposals 2025-12-04T08:56:45.4752046Z proposals_i = self.box2box_transform.apply_deltas(pred_anchor_deltas_i, anchors_i) 2025-12-04T08:56:45.4752519Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/box_regression.py", line 115, in apply_deltas 2025-12-04T08:56:45.4752964Z pred_boxes = torch.stack((x1, y1, x2, y2), dim=-1) 2025-12-04T08:56:45.4753116Z 2025-12-04T08:56:45.4753231Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:45.4753657Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 502, in predict_proposals 2025-12-04T08:56:45.4754108Z pred_proposals = self._decode_proposals(anchors, pred_anchor_deltas) 2025-12-04T08:56:45.4754551Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 530, in _decode_proposals 2025-12-04T08:56:45.4755024Z proposals_i = self.box2box_transform.apply_deltas(pred_anchor_deltas_i, anchors_i) 2025-12-04T08:56:45.4755473Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/box_regression.py", line 115, in apply_deltas 2025-12-04T08:56:45.4755853Z pred_boxes = torch.stack((x1, y1, x2, y2), dim=-1) 2025-12-04T08:56:45.4755989Z 2025-12-04T08:56:45.4756092Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:45.4756513Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 502, in predict_proposals 2025-12-04T08:56:45.4756961Z pred_proposals = self._decode_proposals(anchors, pred_anchor_deltas) 2025-12-04T08:56:45.4757399Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 530, in _decode_proposals 2025-12-04T08:56:45.4757865Z proposals_i = self.box2box_transform.apply_deltas(pred_anchor_deltas_i, anchors_i) 2025-12-04T08:56:45.4758312Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/box_regression.py", line 115, in apply_deltas 2025-12-04T08:56:45.4758690Z pred_boxes = torch.stack((x1, y1, x2, y2), dim=-1) 2025-12-04T08:56:45.4758825Z 2025-12-04T08:56:45.4758923Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:45.4759339Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 502, in predict_proposals 2025-12-04T08:56:45.4759785Z pred_proposals = self._decode_proposals(anchors, pred_anchor_deltas) 2025-12-04T08:56:45.4760233Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 530, in _decode_proposals 2025-12-04T08:56:45.4760765Z proposals_i = self.box2box_transform.apply_deltas(pred_anchor_deltas_i, anchors_i) 2025-12-04T08:56:45.4761230Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/box_regression.py", line 115, in apply_deltas 2025-12-04T08:56:45.4761671Z pred_boxes = torch.stack((x1, y1, x2, y2), dim=-1) 2025-12-04T08:56:45.4761816Z 2025-12-04T08:56:46.9975549Z cudagraph partition due to non gpu ops 2025-12-04T08:56:46.9979798Z cudagraph partition due to non gpu ops 2025-12-04T08:56:46.9984917Z cudagraph partition due to non gpu ops 2025-12-04T08:56:46.9989512Z cudagraph partition due to non gpu ops 2025-12-04T08:56:46.9994143Z cudagraph partition due to non gpu ops 2025-12-04T08:56:46.9996738Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:46.9997206Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 72, in cat 2025-12-04T08:56:46.9997575Z return torch.cat(tensors, dim) 2025-12-04T08:56:46.9998078Z 2025-12-04T08:56:47.9178216Z cudagraph partition due to non gpu ops 2025-12-04T08:56:47.9182164Z cudagraph partition due to non gpu ops 2025-12-04T08:56:47.9184484Z cudagraph partition due to non gpu ops 2025-12-04T08:56:47.9188053Z cudagraph partition due to non gpu ops 2025-12-04T08:56:47.9192581Z cudagraph partition due to non gpu ops 2025-12-04T08:56:47.9198029Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:47.9200513Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 72, in cat 2025-12-04T08:56:47.9200903Z return torch.cat(tensors, dim) 2025-12-04T08:56:47.9201405Z 2025-12-04T08:56:49.0306125Z cudagraph partition due to non gpu ops 2025-12-04T08:56:49.0306419Z cudagraph partition due to non gpu ops 2025-12-04T08:56:49.0306621Z cudagraph partition due to non gpu ops 2025-12-04T08:56:49.0306824Z cudagraph partition due to non gpu ops 2025-12-04T08:56:49.0307025Z cudagraph partition due to non gpu ops 2025-12-04T08:56:49.0307280Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:49.0307689Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 72, in cat 2025-12-04T08:56:49.0308033Z return torch.cat(tensors, dim) 2025-12-04T08:56:49.0308171Z 2025-12-04T08:56:50.0137048Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:50.0137688Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip 2025-12-04T08:56:50.0142700Z assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!" 2025-12-04T08:56:50.0144467Z 2025-12-04T08:56:50.0147855Z cudagraph partition due to non gpu ops 2025-12-04T08:56:50.0148113Z cudagraph partition due to non gpu ops 2025-12-04T08:56:50.0148316Z cudagraph partition due to non gpu ops 2025-12-04T08:56:50.0148684Z cudagraph partition due to non gpu ops 2025-12-04T08:56:50.0149483Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:50.0150090Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip 2025-12-04T08:56:50.0150585Z self.tensor = torch.stack((x1, y1, x2, y2), dim=-1) 2025-12-04T08:56:50.0154199Z 2025-12-04T08:56:50.8071444Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:50.8072191Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/boxes.py", line 114, in _batched_nms_vanilla 2025-12-04T08:56:50.8076495Z keep_mask = torch.zeros_like(scores, dtype=torch.bool) 2025-12-04T08:56:50.8078287Z 2025-12-04T08:56:52.0566471Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:52.0571807Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 235, in __getitem__ 2025-12-04T08:56:52.0572382Z b = self.tensor[item] 2025-12-04T08:56:52.0576592Z 2025-12-04T08:56:52.7665681Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:52.7670120Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip 2025-12-04T08:56:52.7672198Z assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!" 2025-12-04T08:56:52.7675357Z 2025-12-04T08:56:52.7676141Z cudagraph partition due to non gpu ops 2025-12-04T08:56:52.7676395Z cudagraph partition due to non gpu ops 2025-12-04T08:56:52.7676610Z cudagraph partition due to non gpu ops 2025-12-04T08:56:52.7676818Z cudagraph partition due to non gpu ops 2025-12-04T08:56:52.7677049Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:52.7677471Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip 2025-12-04T08:56:52.7677852Z self.tensor = torch.stack((x1, y1, x2, y2), dim=-1) 2025-12-04T08:56:52.7678005Z 2025-12-04T08:56:53.6337757Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:53.6338849Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/boxes.py", line 114, in _batched_nms_vanilla 2025-12-04T08:56:53.6339279Z keep_mask = torch.zeros_like(scores, dtype=torch.bool) 2025-12-04T08:56:53.6339459Z 2025-12-04T08:56:54.3210103Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:54.3210700Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip 2025-12-04T08:56:54.3211234Z assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!" 2025-12-04T08:56:54.3211531Z 2025-12-04T08:56:54.3211797Z cudagraph partition due to non gpu ops 2025-12-04T08:56:54.3212365Z cudagraph partition due to non gpu ops 2025-12-04T08:56:54.3212571Z cudagraph partition due to non gpu ops 2025-12-04T08:56:54.3212778Z cudagraph partition due to non gpu ops 2025-12-04T08:56:54.3213007Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:54.3213394Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip 2025-12-04T08:56:54.3213776Z self.tensor = torch.stack((x1, y1, x2, y2), dim=-1) 2025-12-04T08:56:54.3213929Z 2025-12-04T08:56:55.7123949Z cudagraph partition due to non gpu ops 2025-12-04T08:56:55.7124358Z cudagraph partition due to non gpu ops 2025-12-04T08:56:55.7124576Z cudagraph partition due to non gpu ops 2025-12-04T08:56:55.7124788Z cudagraph partition due to non gpu ops 2025-12-04T08:56:55.7125040Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:55.7125559Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 97, in convert_boxes_to_pooler_format 2025-12-04T08:56:55.7126020Z sizes = shapes_to_tensor([x.__len__() for x in box_lists]) 2025-12-04T08:56:55.7126442Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 39, in shapes_to_tensor 2025-12-04T08:56:55.7126840Z return torch.as_tensor(x, device=device) 2025-12-04T08:56:55.7126993Z 2025-12-04T08:56:55.7127103Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:55.7127543Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 95, in convert_boxes_to_pooler_format 2025-12-04T08:56:55.7127990Z boxes = torch.cat([x.tensor for x in box_lists], dim=0) 2025-12-04T08:56:55.7128156Z 2025-12-04T08:56:56.3755391Z cudagraph partition due to non gpu ops 2025-12-04T08:56:56.3755932Z cudagraph partition due to non gpu ops 2025-12-04T08:56:56.3756783Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:56.3757471Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 69, in torch_dynamo_resume_in__convert_boxes_to_pooler_format_at_66 2025-12-04T08:56:56.3758022Z return cat([indices[:, None], boxes], dim=1) 2025-12-04T08:56:56.3758411Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 72, in cat 2025-12-04T08:56:56.3758913Z return torch.cat(tensors, dim) 2025-12-04T08:56:56.3759087Z 2025-12-04T08:56:58.4927629Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:58.4928768Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 51, in assign_boxes_to_levels 2025-12-04T08:56:58.4929256Z box_sizes = torch.sqrt(cat([boxes.area() for boxes in box_lists])) 2025-12-04T08:56:58.4929664Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 51, in 2025-12-04T08:56:58.4930057Z box_sizes = torch.sqrt(cat([boxes.area() for boxes in box_lists])) 2025-12-04T08:56:58.4930440Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 180, in area 2025-12-04T08:56:58.4930828Z area = (box[:, 2] - box[:, 0]) * (box[:, 3] - box[:, 1]) 2025-12-04T08:56:58.4930978Z 2025-12-04T08:56:58.4931091Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:58.4931561Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 51, in assign_boxes_to_levels 2025-12-04T08:56:58.4931979Z box_sizes = torch.sqrt(cat([boxes.area() for boxes in box_lists])) 2025-12-04T08:56:58.4932373Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 51, in 2025-12-04T08:56:58.4932754Z box_sizes = torch.sqrt(cat([boxes.area() for boxes in box_lists])) 2025-12-04T08:56:58.4933129Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 180, in area 2025-12-04T08:56:58.4933539Z area = (box[:, 2] - box[:, 0]) * (box[:, 3] - box[:, 1]) 2025-12-04T08:56:58.4933683Z 2025-12-04T08:56:58.4933792Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:58.4934188Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 51, in assign_boxes_to_levels 2025-12-04T08:56:58.4934610Z box_sizes = torch.sqrt(cat([boxes.area() for boxes in box_lists])) 2025-12-04T08:56:58.4934993Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 51, in 2025-12-04T08:56:58.4935379Z box_sizes = torch.sqrt(cat([boxes.area() for boxes in box_lists])) 2025-12-04T08:56:58.4935739Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 180, in area 2025-12-04T08:56:58.4936093Z area = (box[:, 2] - box[:, 0]) * (box[:, 3] - box[:, 1]) 2025-12-04T08:56:58.4936234Z 2025-12-04T08:56:58.4936342Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:58.4936744Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 51, in assign_boxes_to_levels 2025-12-04T08:56:58.4937152Z box_sizes = torch.sqrt(cat([boxes.area() for boxes in box_lists])) 2025-12-04T08:56:58.4937529Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 51, in 2025-12-04T08:56:58.4937912Z box_sizes = torch.sqrt(cat([boxes.area() for boxes in box_lists])) 2025-12-04T08:56:58.4938274Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 180, in area 2025-12-04T08:56:58.4938623Z area = (box[:, 2] - box[:, 0]) * (box[:, 3] - box[:, 1]) 2025-12-04T08:56:58.4938770Z 2025-12-04T08:56:58.4938868Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:58.4939264Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 51, in assign_boxes_to_levels 2025-12-04T08:56:58.4939669Z box_sizes = torch.sqrt(cat([boxes.area() for boxes in box_lists])) 2025-12-04T08:56:58.4940036Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 72, in cat 2025-12-04T08:56:58.4940370Z return torch.cat(tensors, dim) 2025-12-04T08:56:58.4940492Z 2025-12-04T08:56:58.4940598Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:58.4940985Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 59, in assign_boxes_to_levels 2025-12-04T08:56:58.4941430Z return level_assignments.to(torch.int64) - min_level 2025-12-04T08:56:58.4941585Z 2025-12-04T08:56:59.3340364Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:59.3340953Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 111, in _create_zeros 2025-12-04T08:56:59.3341411Z return torch.zeros(sizes, dtype=like_tensor.dtype, device=like_tensor.device) 2025-12-04T08:56:59.3341664Z 2025-12-04T08:56:59.8701799Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:59.8707130Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward 2025-12-04T08:56:59.8707931Z return roi_align( 2025-12-04T08:56:59.8708628Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align 2025-12-04T08:56:59.8708992Z return torch.ops.torchvision.roi_align( 2025-12-04T08:56:59.8709147Z 2025-12-04T08:56:59.8709254Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:56:59.8709642Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward 2025-12-04T08:56:59.8709964Z return roi_align( 2025-12-04T08:56:59.8710274Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align 2025-12-04T08:56:59.8710682Z return torch.ops.torchvision.roi_align( 2025-12-04T08:56:59.8710816Z 2025-12-04T08:57:00.5230017Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:00.5234256Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward 2025-12-04T08:57:00.5238648Z return roi_align( 2025-12-04T08:57:00.5239248Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align 2025-12-04T08:57:00.5239775Z return torch.ops.torchvision.roi_align( 2025-12-04T08:57:00.5240232Z 2025-12-04T08:57:00.5240658Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:00.5241137Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward 2025-12-04T08:57:00.5241490Z return roi_align( 2025-12-04T08:57:00.5241810Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align 2025-12-04T08:57:00.5242318Z return torch.ops.torchvision.roi_align( 2025-12-04T08:57:00.5242466Z 2025-12-04T08:57:00.9655477Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:00.9656151Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward 2025-12-04T08:57:00.9657246Z return roi_align( 2025-12-04T08:57:00.9663340Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align 2025-12-04T08:57:00.9668511Z return torch.ops.torchvision.roi_align( 2025-12-04T08:57:00.9671631Z 2025-12-04T08:57:00.9673929Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:00.9674584Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward 2025-12-04T08:57:00.9678245Z return roi_align( 2025-12-04T08:57:00.9680409Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align 2025-12-04T08:57:00.9680836Z return torch.ops.torchvision.roi_align( 2025-12-04T08:57:00.9680990Z 2025-12-04T08:57:01.3171396Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:01.3175830Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward 2025-12-04T08:57:01.3181239Z return roi_align( 2025-12-04T08:57:01.3184270Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align 2025-12-04T08:57:01.3184905Z return torch.ops.torchvision.roi_align( 2025-12-04T08:57:01.3189751Z 2025-12-04T08:57:01.3190582Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:01.3191073Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward 2025-12-04T08:57:01.3191450Z return roi_align( 2025-12-04T08:57:01.3192209Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align 2025-12-04T08:57:01.3192635Z return torch.ops.torchvision.roi_align( 2025-12-04T08:57:01.3192788Z 2025-12-04T08:57:02.7137024Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:02.7137786Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 799, in torch_dynamo_resume_in__forward_box_at_798 2025-12-04T08:57:02.7142490Z box_features = self.box_head(box_features) 2025-12-04T08:57:02.7147954Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/box_head.py", line 96, in forward 2025-12-04T08:57:02.7149880Z x = layer(x) 2025-12-04T08:57:02.7153759Z 2025-12-04T08:57:02.7156016Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:02.7161383Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 799, in torch_dynamo_resume_in__forward_box_at_798 2025-12-04T08:57:02.7162358Z box_features = self.box_head(box_features) 2025-12-04T08:57:02.7163272Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/box_head.py", line 96, in forward 2025-12-04T08:57:02.7163722Z x = layer(x) 2025-12-04T08:57:02.7163836Z 2025-12-04T08:57:02.7163954Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:02.7164478Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 799, in torch_dynamo_resume_in__forward_box_at_798 2025-12-04T08:57:02.7164931Z box_features = self.box_head(box_features) 2025-12-04T08:57:02.7165320Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/box_head.py", line 96, in forward 2025-12-04T08:57:02.7165685Z x = layer(x) 2025-12-04T08:57:02.7165774Z 2025-12-04T08:57:02.7165882Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:02.7166337Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 799, in torch_dynamo_resume_in__forward_box_at_798 2025-12-04T08:57:02.7166766Z box_features = self.box_head(box_features) 2025-12-04T08:57:02.7167133Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/box_head.py", line 96, in forward 2025-12-04T08:57:02.7167486Z x = layer(x) 2025-12-04T08:57:02.7167574Z 2025-12-04T08:57:02.7167676Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:02.7168133Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 800, in torch_dynamo_resume_in__forward_box_at_798 2025-12-04T08:57:02.7168575Z predictions = self.box_predictor(box_features) 2025-12-04T08:57:02.7168957Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 303, in forward 2025-12-04T08:57:02.7169310Z scores = self.cls_score(x) 2025-12-04T08:57:02.7169433Z 2025-12-04T08:57:02.7169531Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:02.7169976Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 800, in torch_dynamo_resume_in__forward_box_at_798 2025-12-04T08:57:02.7170414Z predictions = self.box_predictor(box_features) 2025-12-04T08:57:02.7170787Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 304, in forward 2025-12-04T08:57:02.7171160Z proposal_deltas = self.bbox_pred(x) 2025-12-04T08:57:02.7171291Z 2025-12-04T08:57:04.7183628Z cudagraph partition due to non gpu ops 2025-12-04T08:57:04.7183961Z cudagraph partition due to non gpu ops 2025-12-04T08:57:04.7184165Z cudagraph partition due to non gpu ops 2025-12-04T08:57:04.7184374Z cudagraph partition due to non gpu ops 2025-12-04T08:57:04.7184612Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:04.7185066Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 476, in inference 2025-12-04T08:57:04.7185499Z boxes = self.predict_boxes(predictions, proposals) 2025-12-04T08:57:04.7185923Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 542, in predict_boxes 2025-12-04T08:57:04.7186448Z proposal_boxes = cat([p.proposal_boxes.tensor for p in proposals], dim=0) 2025-12-04T08:57:04.7186859Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 72, in cat 2025-12-04T08:57:04.7187276Z return torch.cat(tensors, dim) 2025-12-04T08:57:04.7187417Z 2025-12-04T08:57:04.7187526Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:04.7187945Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 476, in inference 2025-12-04T08:57:04.7188388Z boxes = self.predict_boxes(predictions, proposals) 2025-12-04T08:57:04.7188860Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 543, in predict_boxes 2025-12-04T08:57:04.7189282Z predict_boxes = self.box2box_transform.apply_deltas( 2025-12-04T08:57:04.7189693Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/box_regression.py", line 115, in apply_deltas 2025-12-04T08:57:04.7190087Z pred_boxes = torch.stack((x1, y1, x2, y2), dim=-1) 2025-12-04T08:57:04.7190239Z 2025-12-04T08:57:06.5201520Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:06.5202285Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 137, in fast_rcnn_inference_single_image 2025-12-04T08:57:06.5202829Z valid_mask = torch.isfinite(boxes).all(dim=1) & torch.isfinite(scores).all(dim=1) 2025-12-04T08:57:06.5203052Z 2025-12-04T08:57:06.5203170Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:06.5203640Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 137, in fast_rcnn_inference_single_image 2025-12-04T08:57:06.5204158Z valid_mask = torch.isfinite(boxes).all(dim=1) & torch.isfinite(scores).all(dim=1) 2025-12-04T08:57:06.5204370Z 2025-12-04T08:57:06.5204470Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:06.5204925Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 138, in fast_rcnn_inference_single_image 2025-12-04T08:57:06.5205342Z if not valid_mask.all(): 2025-12-04T08:57:06.5205467Z 2025-12-04T08:57:07.8271635Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:07.8272272Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 146, in torch_dynamo_resume_in_fast_rcnn_inference_single_image_at_138 2025-12-04T08:57:07.8272811Z boxes.clip(image_shape) 2025-12-04T08:57:07.8273178Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip 2025-12-04T08:57:07.8273602Z assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!" 2025-12-04T08:57:07.8273810Z 2025-12-04T08:57:07.8273921Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:07.8274424Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 151, in torch_dynamo_resume_in_fast_rcnn_inference_single_image_at_138 2025-12-04T08:57:07.8274902Z filter_mask = scores > score_thresh # R x K 2025-12-04T08:57:07.8275426Z 2025-12-04T08:57:07.8275530Z cudagraph partition due to non gpu ops 2025-12-04T08:57:07.8275739Z cudagraph partition due to non gpu ops 2025-12-04T08:57:07.8275934Z cudagraph partition due to non gpu ops 2025-12-04T08:57:07.8276132Z cudagraph partition due to non gpu ops 2025-12-04T08:57:07.8276360Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:07.8276846Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 146, in torch_dynamo_resume_in_fast_rcnn_inference_single_image_at_138 2025-12-04T08:57:07.8277312Z boxes.clip(image_shape) 2025-12-04T08:57:07.8277641Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip 2025-12-04T08:57:07.8278065Z self.tensor = torch.stack((x1, y1, x2, y2), dim=-1) 2025-12-04T08:57:07.8278209Z 2025-12-04T08:57:09.9206841Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:09.9207432Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/boxes.py", line 99, in _batched_nms_coordinate_trick 2025-12-04T08:57:09.9211638Z max_coordinate = boxes.max() 2025-12-04T08:57:09.9215929Z 2025-12-04T08:57:09.9220698Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:09.9224954Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/boxes.py", line 101, in _batched_nms_coordinate_trick 2025-12-04T08:57:09.9229869Z boxes_for_nms = boxes + offsets[:, None] 2025-12-04T08:57:09.9233744Z 2025-12-04T08:57:10.5840066Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:10.5840684Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 165, in torch_dynamo_resume_in_fast_rcnn_inference_single_image_at_162 2025-12-04T08:57:10.5841265Z boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep] 2025-12-04T08:57:10.5841466Z 2025-12-04T08:57:10.5841590Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:10.5844435Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 165, in torch_dynamo_resume_in_fast_rcnn_inference_single_image_at_162 2025-12-04T08:57:10.5845215Z boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep] 2025-12-04T08:57:10.5845489Z 2025-12-04T08:57:10.5845621Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:10.5846235Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 165, in torch_dynamo_resume_in_fast_rcnn_inference_single_image_at_162 2025-12-04T08:57:10.5846901Z boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep] 2025-12-04T08:57:10.5847135Z 2025-12-04T08:57:12.4779291Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.4781334Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 146, in torch_dynamo_resume_in_fast_rcnn_inference_single_image_at_138 2025-12-04T08:57:12.4782049Z boxes.clip(image_shape) 2025-12-04T08:57:12.4787268Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip 2025-12-04T08:57:12.4788990Z assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!" 2025-12-04T08:57:12.4789427Z 2025-12-04T08:57:12.4789694Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.4790452Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 151, in torch_dynamo_resume_in_fast_rcnn_inference_single_image_at_138 2025-12-04T08:57:12.4791150Z filter_mask = scores > score_thresh # R x K 2025-12-04T08:57:12.4791578Z 2025-12-04T08:57:12.4791943Z cudagraph partition due to non gpu ops 2025-12-04T08:57:12.4792248Z cudagraph partition due to non gpu ops 2025-12-04T08:57:12.4792871Z cudagraph partition due to non gpu ops 2025-12-04T08:57:12.4793089Z cudagraph partition due to non gpu ops 2025-12-04T08:57:12.4793342Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.4793970Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 146, in torch_dynamo_resume_in_fast_rcnn_inference_single_image_at_138 2025-12-04T08:57:12.4794531Z boxes.clip(image_shape) 2025-12-04T08:57:12.4794870Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip 2025-12-04T08:57:12.4795250Z self.tensor = torch.stack((x1, y1, x2, y2), dim=-1) 2025-12-04T08:57:12.4795405Z 2025-12-04T08:57:16.1391739Z cudagraph partition due to non gpu ops 2025-12-04T08:57:16.1393587Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:16.1394504Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess 2025-12-04T08:57:16.1396962Z output_boxes.clip(results.image_size) 2025-12-04T08:57:16.1397781Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip 2025-12-04T08:57:16.1398576Z assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!" 2025-12-04T08:57:16.1398971Z 2025-12-04T08:57:16.1399567Z cudagraph partition due to non gpu ops 2025-12-04T08:57:16.1399932Z cudagraph partition due to non gpu ops 2025-12-04T08:57:16.1400407Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:16.1401430Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess 2025-12-04T08:57:16.1402512Z output_boxes.clip(results.image_size) 2025-12-04T08:57:16.1403320Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip 2025-12-04T08:57:16.1404147Z self.tensor = torch.stack((x1, y1, x2, y2), dim=-1) 2025-12-04T08:57:16.1404456Z 2025-12-04T08:57:16.1404633Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:16.1405361Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 58, in detector_postprocess 2025-12-04T08:57:16.1406086Z results = results[output_boxes.nonempty()] 2025-12-04T08:57:16.1406714Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 212, in nonempty 2025-12-04T08:57:16.1407369Z keep = (widths > threshold) & (heights > threshold) 2025-12-04T08:57:16.1407633Z 2025-12-04T08:57:27.5894632Z Compilation time (from dynamo_timed): 73.11507975 2025-12-04T08:57:27.5897167Z pass 2025-12-04T08:57:27.5897516Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T08:57:27.5898369Z TIMING: gc:0.05617 entire_frame_compile:73.11508 _recursive_pre_grad_passes:0.03537 _recursive_joint_graph_passes:0.57169 async_compile.wait:13.55668 inductor_compile:34.50006 backend_compile:48.33833 _recursive_post_grad_passes:0.30282 code_gen:21.02263 total_wall_time:73.11508 2025-12-04T08:57:27.5899490Z STATS: call_* op count: 1156 | FakeTensorMode.__torch_dispatch__:28542 | FakeTensor.__torch_dispatch__:15750 | ProxyTorchDispatchMode.__torch_dispatch__:7713 | attempt fast:153 | slow no contiguity match:62 | fast is_contiguous:91 2025-12-04T08:57:27.5900172Z Dynamo produced 61 graphs covering 1156 ops with 46 graph breaks (6 unique) 2025-12-04T08:57:31.8260202Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-12-04T08:57:31.8261241Z import pynvml # type: ignore[import] 2025-12-04T08:57:33.7944065Z 2025-12-04T08:57:39.8982480Z loading model: 0it [00:00, ?it/s]W1204 08:57:39.897000 6769 site-packages/torch/fx/_symbolic_trace.py:53] is_fx_tracing will return true for both fx.symbolic_trace and torch.export. Please use is_fx_tracing_symbolic_tracing() for specifically fx.symbolic_trace or torch.compiler.is_compiling() for specifically torch.export/compile. 2025-12-04T08:57:54.1357888Z 2025-12-04T08:57:54.1358744Z loading model: 0it [00:20, ?it/s] 2025-12-04T08:57:54.1359220Z cpu eval detectron2_fasterrcnn_r_50_c4 2025-12-04T08:58:02.5422987Z WARNING:common:fp64 golden ref were not generated for detectron2_fasterrcnn_r_50_c4. Setting accuracy check to cosine 2025-12-04T08:58:02.5509648Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T08:58:36.6229270Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T08:59:11.0917012Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T08:59:26.2918601Z cudagraph partition due to non gpu ops 2025-12-04T08:59:26.2919096Z cudagraph partition due to non gpu ops 2025-12-04T08:59:26.2919395Z cudagraph partition due to non gpu ops 2025-12-04T08:59:26.2919658Z cudagraph partition due to non gpu ops 2025-12-04T08:59:26.2919936Z cudagraph partition due to non gpu ops 2025-12-04T08:59:26.2920215Z cudagraph partition due to non gpu ops 2025-12-04T08:59:26.2920873Z cudagraph partition due to non gpu ops 2025-12-04T08:59:26.2921162Z cudagraph partition due to non gpu ops 2025-12-04T08:59:26.2921454Z cudagraph partition due to non gpu ops 2025-12-04T08:59:26.2921769Z cudagraph partition due to non gpu ops 2025-12-04T08:59:26.2922185Z cudagraph partition due to non gpu ops 2025-12-04T08:59:26.2922493Z cudagraph partition due to non gpu ops 2025-12-04T08:59:26.2922793Z cudagraph partition due to non gpu ops 2025-12-04T08:59:26.2923102Z cudagraph partition due to non gpu ops 2025-12-04T08:59:26.2923413Z cudagraph partition due to non gpu ops 2025-12-04T08:59:26.2923772Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.2924422Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:26.2925031Z features = self.backbone(images.tensor) 2025-12-04T08:59:26.2925598Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 445, in forward 2025-12-04T08:59:26.2926101Z x = self.stem(x) 2025-12-04T08:59:26.2926579Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 356, in forward 2025-12-04T08:59:26.2927095Z x = self.conv1(x) 2025-12-04T08:59:26.2927555Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:26.2927980Z x = F.conv2d( 2025-12-04T08:59:26.2928118Z 2025-12-04T08:59:26.2928264Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.2928864Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:26.2929454Z features = self.backbone(images.tensor) 2025-12-04T08:59:26.2929990Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 445, in forward 2025-12-04T08:59:26.2930507Z x = self.stem(x) 2025-12-04T08:59:26.2930959Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 357, in forward 2025-12-04T08:59:26.2931389Z x = F.relu_(x) 2025-12-04T08:59:26.2931503Z 2025-12-04T08:59:26.2931645Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.2932304Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:26.2932963Z features = self.backbone(images.tensor) 2025-12-04T08:59:26.2933806Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 445, in forward 2025-12-04T08:59:26.2934309Z x = self.stem(x) 2025-12-04T08:59:26.2934808Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 358, in forward 2025-12-04T08:59:26.2935408Z x = F.max_pool2d(x, kernel_size=3, stride=2, padding=1) 2025-12-04T08:59:26.2935636Z 2025-12-04T08:59:26.2935761Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.2936421Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:26.2937119Z features = self.backbone(images.tensor) 2025-12-04T08:59:26.2937674Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:26.2938024Z x = stage(x) 2025-12-04T08:59:26.2938353Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:59:26.2938718Z out = self.conv1(x) 2025-12-04T08:59:26.2939034Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:26.2939374Z x = F.conv2d( 2025-12-04T08:59:26.2939514Z 2025-12-04T08:59:26.2939613Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.2940064Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:26.2940487Z features = self.backbone(images.tensor) 2025-12-04T08:59:26.2940857Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:26.2941209Z x = stage(x) 2025-12-04T08:59:26.2941525Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:59:26.2941879Z out = F.relu_(out) 2025-12-04T08:59:26.2941986Z 2025-12-04T08:59:26.2942086Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.2942545Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:26.2942983Z features = self.backbone(images.tensor) 2025-12-04T08:59:26.2943363Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:26.2943723Z x = stage(x) 2025-12-04T08:59:26.2944053Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:59:26.2944414Z out = self.conv2(out) 2025-12-04T08:59:26.2944744Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:26.2945088Z x = F.conv2d( 2025-12-04T08:59:26.2945178Z 2025-12-04T08:59:26.2945278Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.2945738Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:26.2946179Z features = self.backbone(images.tensor) 2025-12-04T08:59:26.2946553Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:26.2946902Z x = stage(x) 2025-12-04T08:59:26.2947228Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:59:26.2947598Z out = F.relu_(out) 2025-12-04T08:59:26.2947696Z 2025-12-04T08:59:26.2947798Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.2948288Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:26.2948729Z features = self.backbone(images.tensor) 2025-12-04T08:59:26.2949086Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:26.2949419Z x = stage(x) 2025-12-04T08:59:26.2949736Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:59:26.2950086Z out = self.conv3(out) 2025-12-04T08:59:26.2950402Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:26.2950734Z x = F.conv2d( 2025-12-04T08:59:26.2950826Z 2025-12-04T08:59:26.2950922Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.2951356Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:26.2951773Z features = self.backbone(images.tensor) 2025-12-04T08:59:26.2952121Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:26.2952459Z x = stage(x) 2025-12-04T08:59:26.2952771Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward 2025-12-04T08:59:26.2953137Z shortcut = self.shortcut(x) 2025-12-04T08:59:26.2953461Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:26.2953783Z x = F.conv2d( 2025-12-04T08:59:26.2953869Z 2025-12-04T08:59:26.2953973Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.2954398Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:26.2954815Z features = self.backbone(images.tensor) 2025-12-04T08:59:26.2955169Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:26.2955497Z x = stage(x) 2025-12-04T08:59:26.2955807Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:59:26.2956152Z out = self.conv1(x) 2025-12-04T08:59:26.2956457Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:26.2956769Z x = F.conv2d( 2025-12-04T08:59:26.2956857Z 2025-12-04T08:59:26.2956952Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.2957386Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:26.2957798Z features = self.backbone(images.tensor) 2025-12-04T08:59:26.2958150Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:26.2958490Z x = stage(x) 2025-12-04T08:59:26.2958801Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:59:26.2959146Z out = F.relu_(out) 2025-12-04T08:59:26.2959281Z 2025-12-04T08:59:26.2959404Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.2959887Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:26.2960304Z features = self.backbone(images.tensor) 2025-12-04T08:59:26.2960654Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:26.2960993Z x = stage(x) 2025-12-04T08:59:26.2961336Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:59:26.2961740Z out = self.conv2(out) 2025-12-04T08:59:26.2962197Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:26.2962573Z x = F.conv2d( 2025-12-04T08:59:26.2962672Z 2025-12-04T08:59:26.2962793Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.2963267Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:26.2963740Z features = self.backbone(images.tensor) 2025-12-04T08:59:26.2964185Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:26.2964583Z x = stage(x) 2025-12-04T08:59:26.2964946Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:59:26.2965344Z out = F.relu_(out) 2025-12-04T08:59:26.2965451Z 2025-12-04T08:59:26.2965567Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.2966059Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:26.2966557Z features = self.backbone(images.tensor) 2025-12-04T08:59:26.2966961Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:26.2967360Z x = stage(x) 2025-12-04T08:59:26.2967709Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:59:26.2968101Z out = self.conv3(out) 2025-12-04T08:59:26.2968456Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:26.2968826Z x = F.conv2d( 2025-12-04T08:59:26.2968928Z 2025-12-04T08:59:26.2969039Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.2969534Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:26.2970001Z features = self.backbone(images.tensor) 2025-12-04T08:59:26.2970350Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:26.2970691Z x = stage(x) 2025-12-04T08:59:26.2971000Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:59:26.2971341Z out = F.relu_(out) 2025-12-04T08:59:26.2971435Z 2025-12-04T08:59:26.2971531Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.2971969Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:26.2972382Z features = self.backbone(images.tensor) 2025-12-04T08:59:26.2972731Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:26.2973072Z x = stage(x) 2025-12-04T08:59:26.2973382Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:59:26.2973726Z out = self.conv1(x) 2025-12-04T08:59:26.2974047Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:26.2974363Z x = F.conv2d( 2025-12-04T08:59:26.2974449Z 2025-12-04T08:59:26.2974552Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.2974980Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:26.2975455Z features = self.backbone(images.tensor) 2025-12-04T08:59:26.2975813Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:26.2976150Z x = stage(x) 2025-12-04T08:59:26.2976453Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:59:26.2976794Z out = F.relu_(out) 2025-12-04T08:59:26.2976888Z 2025-12-04T08:59:26.2976991Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.2977427Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:26.2977854Z features = self.backbone(images.tensor) 2025-12-04T08:59:26.2978211Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:26.2978556Z x = stage(x) 2025-12-04T08:59:26.2978857Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:59:26.2979204Z out = self.conv2(out) 2025-12-04T08:59:26.2979512Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:26.2979849Z x = F.conv2d( 2025-12-04T08:59:26.2979934Z 2025-12-04T08:59:26.2980028Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.2980460Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:26.2980877Z features = self.backbone(images.tensor) 2025-12-04T08:59:26.2981231Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:26.2981562Z x = stage(x) 2025-12-04T08:59:26.2981875Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:59:26.2982221Z out = F.relu_(out) 2025-12-04T08:59:26.2982313Z 2025-12-04T08:59:26.2982407Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.2982840Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:26.2983268Z features = self.backbone(images.tensor) 2025-12-04T08:59:26.2983641Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:26.2983972Z x = stage(x) 2025-12-04T08:59:26.2984285Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:59:26.2984630Z out = self.conv3(out) 2025-12-04T08:59:26.2984934Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:26.2985256Z x = F.conv2d( 2025-12-04T08:59:26.2985349Z 2025-12-04T08:59:26.2985445Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.2985880Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:26.2986294Z features = self.backbone(images.tensor) 2025-12-04T08:59:26.2986657Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:26.2986997Z x = stage(x) 2025-12-04T08:59:26.2987305Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:59:26.2987641Z out = F.relu_(out) 2025-12-04T08:59:26.2987741Z 2025-12-04T08:59:26.2987836Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.2988301Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:26.2988711Z features = self.backbone(images.tensor) 2025-12-04T08:59:26.2989068Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:26.2989409Z x = stage(x) 2025-12-04T08:59:26.2989716Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:59:26.2990053Z out = self.conv1(x) 2025-12-04T08:59:26.2990358Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:26.2990700Z x = F.conv2d( 2025-12-04T08:59:26.2990784Z 2025-12-04T08:59:26.2990879Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.2991315Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:26.2991726Z features = self.backbone(images.tensor) 2025-12-04T08:59:26.2992086Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:26.2992421Z x = stage(x) 2025-12-04T08:59:26.2992754Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:59:26.2993101Z out = F.relu_(out) 2025-12-04T08:59:26.2993195Z 2025-12-04T08:59:26.2993298Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.2993731Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:26.2994152Z features = self.backbone(images.tensor) 2025-12-04T08:59:26.2994512Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:26.2994846Z x = stage(x) 2025-12-04T08:59:26.2995158Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:59:26.2995502Z out = self.conv2(out) 2025-12-04T08:59:26.2995811Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:26.2996123Z x = F.conv2d( 2025-12-04T08:59:26.2996214Z 2025-12-04T08:59:26.2996309Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.2996832Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:26.2997262Z features = self.backbone(images.tensor) 2025-12-04T08:59:26.2997616Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:26.2997986Z x = stage(x) 2025-12-04T08:59:26.2998307Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:59:26.2998641Z out = F.relu_(out) 2025-12-04T08:59:26.2998746Z 2025-12-04T08:59:26.2998842Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.2999279Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:26.2999689Z features = self.backbone(images.tensor) 2025-12-04T08:59:26.3000035Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:26.3000374Z x = stage(x) 2025-12-04T08:59:26.3000682Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:59:26.3001057Z out = self.conv3(out) 2025-12-04T08:59:26.3001372Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:26.3001692Z x = F.conv2d( 2025-12-04T08:59:26.3001778Z 2025-12-04T08:59:26.3001955Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.3002392Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:26.3002814Z features = self.backbone(images.tensor) 2025-12-04T08:59:26.3003201Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:26.3003596Z x = stage(x) 2025-12-04T08:59:26.3003927Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward 2025-12-04T08:59:26.3004320Z shortcut = self.shortcut(x) 2025-12-04T08:59:26.3004652Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:26.3004981Z x = F.conv2d( 2025-12-04T08:59:26.3005083Z 2025-12-04T08:59:26.3005191Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.3005662Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:26.3006134Z features = self.backbone(images.tensor) 2025-12-04T08:59:26.3006511Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:26.3006878Z x = stage(x) 2025-12-04T08:59:26.3007215Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:59:26.3007583Z out = self.conv1(x) 2025-12-04T08:59:26.3007917Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:26.3008260Z x = F.conv2d( 2025-12-04T08:59:26.3008351Z 2025-12-04T08:59:26.3008461Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.3008924Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:26.3009378Z features = self.backbone(images.tensor) 2025-12-04T08:59:26.3009764Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:26.3010133Z x = stage(x) 2025-12-04T08:59:26.3010459Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:59:26.3010830Z out = F.relu_(out) 2025-12-04T08:59:26.3010932Z 2025-12-04T08:59:26.3011142Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.3011606Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:26.3012052Z features = self.backbone(images.tensor) 2025-12-04T08:59:26.3012435Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:26.3012804Z x = stage(x) 2025-12-04T08:59:26.3013134Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:59:26.3013506Z out = self.conv2(out) 2025-12-04T08:59:26.3013840Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:26.3014164Z x = F.conv2d( 2025-12-04T08:59:26.3014249Z 2025-12-04T08:59:26.3014343Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.3014811Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:26.3015227Z features = self.backbone(images.tensor) 2025-12-04T08:59:26.3015758Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:26.3016109Z x = stage(x) 2025-12-04T08:59:26.3016425Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:59:26.3016772Z out = F.relu_(out) 2025-12-04T08:59:26.3016868Z 2025-12-04T08:59:26.3016963Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.3017403Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:26.3017877Z features = self.backbone(images.tensor) 2025-12-04T08:59:26.3018233Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:26.3018565Z x = stage(x) 2025-12-04T08:59:26.3018877Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:59:26.3019220Z out = self.conv3(out) 2025-12-04T08:59:26.3019523Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:26.3019873Z x = F.conv2d( 2025-12-04T08:59:26.3019957Z 2025-12-04T08:59:26.3020063Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.3020496Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:26.3020905Z features = self.backbone(images.tensor) 2025-12-04T08:59:26.3021261Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:26.3021602Z x = stage(x) 2025-12-04T08:59:26.3021904Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:59:26.3022245Z out = F.relu_(out) 2025-12-04T08:59:26.3022346Z 2025-12-04T08:59:26.3022442Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.3022873Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:26.3023283Z features = self.backbone(images.tensor) 2025-12-04T08:59:26.3023640Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:26.3023979Z x = stage(x) 2025-12-04T08:59:26.3024289Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:59:26.3024623Z out = self.conv1(x) 2025-12-04T08:59:26.3024930Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:26.3025247Z x = F.conv2d( 2025-12-04T08:59:26.3025332Z 2025-12-04T08:59:26.3025427Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.3025856Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:26.3026272Z features = self.backbone(images.tensor) 2025-12-04T08:59:26.3026628Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:26.3026960Z x = stage(x) 2025-12-04T08:59:26.3027268Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:59:26.3027608Z out = F.relu_(out) 2025-12-04T08:59:26.3027702Z 2025-12-04T08:59:26.3027919Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.3028363Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:26.3028780Z features = self.backbone(images.tensor) 2025-12-04T08:59:26.3029139Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:26.3029473Z x = stage(x) 2025-12-04T08:59:26.3029787Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:59:26.3030136Z out = self.conv2(out) 2025-12-04T08:59:26.3030462Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:26.3030774Z x = F.conv2d( 2025-12-04T08:59:26.3030867Z 2025-12-04T08:59:26.3030963Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.3031400Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:26.3031807Z features = self.backbone(images.tensor) 2025-12-04T08:59:26.3032162Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:26.3032930Z x = stage(x) 2025-12-04T08:59:26.3033242Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:59:26.3033579Z out = F.relu_(out) 2025-12-04T08:59:26.3033682Z 2025-12-04T08:59:26.3033778Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.3034225Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:26.3034638Z features = self.backbone(images.tensor) 2025-12-04T08:59:26.3034990Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:26.3035330Z x = stage(x) 2025-12-04T08:59:26.3035641Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:59:26.3035981Z out = self.conv3(out) 2025-12-04T08:59:26.3036292Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:26.3036615Z x = F.conv2d( 2025-12-04T08:59:26.3036701Z 2025-12-04T08:59:26.3036804Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.3037235Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:26.3037651Z features = self.backbone(images.tensor) 2025-12-04T08:59:26.3038008Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:26.3038341Z x = stage(x) 2025-12-04T08:59:26.3038654Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:59:26.3038991Z out = F.relu_(out) 2025-12-04T08:59:26.3039099Z 2025-12-04T08:59:26.3039201Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.3039627Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:26.3040043Z features = self.backbone(images.tensor) 2025-12-04T08:59:26.3040397Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:26.3040732Z x = stage(x) 2025-12-04T08:59:26.3041064Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:59:26.3041410Z out = self.conv1(x) 2025-12-04T08:59:26.3041715Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:26.3042155Z x = F.conv2d( 2025-12-04T08:59:26.3042266Z 2025-12-04T08:59:26.3042376Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.3042884Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:26.3043372Z features = self.backbone(images.tensor) 2025-12-04T08:59:26.3043759Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:26.3044195Z x = stage(x) 2025-12-04T08:59:26.3044566Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:59:26.3044967Z out = F.relu_(out) 2025-12-04T08:59:26.3045082Z 2025-12-04T08:59:26.3045192Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.3045697Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:26.3046177Z features = self.backbone(images.tensor) 2025-12-04T08:59:26.3046611Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:26.3047004Z x = stage(x) 2025-12-04T08:59:26.3047366Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:59:26.3047764Z out = self.conv2(out) 2025-12-04T08:59:26.3048118Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:26.3048485Z x = F.conv2d( 2025-12-04T08:59:26.3048583Z 2025-12-04T08:59:26.3048701Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.3049201Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:26.3049685Z features = self.backbone(images.tensor) 2025-12-04T08:59:26.3050058Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:26.3050396Z x = stage(x) 2025-12-04T08:59:26.3050700Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:59:26.3051040Z out = F.relu_(out) 2025-12-04T08:59:26.3051136Z 2025-12-04T08:59:26.3051238Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.3051673Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:26.3052083Z features = self.backbone(images.tensor) 2025-12-04T08:59:26.3052437Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:26.3052775Z x = stage(x) 2025-12-04T08:59:26.3053078Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:59:26.3053425Z out = self.conv3(out) 2025-12-04T08:59:26.3053735Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:26.3054053Z x = F.conv2d( 2025-12-04T08:59:26.3054138Z 2025-12-04T08:59:26.3054235Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.3054667Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:26.3055108Z features = self.backbone(images.tensor) 2025-12-04T08:59:26.3055463Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:26.3055810Z x = stage(x) 2025-12-04T08:59:26.3056126Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:59:26.3056477Z out = F.relu_(out) 2025-12-04T08:59:26.3056573Z 2025-12-04T08:59:26.3056670Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.3057110Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:26.3057542Z features = self.backbone(images.tensor) 2025-12-04T08:59:26.3057900Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:26.3058233Z x = stage(x) 2025-12-04T08:59:26.3058546Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:59:26.3058892Z out = self.conv1(x) 2025-12-04T08:59:26.3059192Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:26.3059513Z x = F.conv2d( 2025-12-04T08:59:26.3059625Z 2025-12-04T08:59:26.3059721Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.3060160Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:26.3060571Z features = self.backbone(images.tensor) 2025-12-04T08:59:26.3060932Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:26.3061273Z x = stage(x) 2025-12-04T08:59:26.3061582Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:59:26.3061923Z out = F.relu_(out) 2025-12-04T08:59:26.3062024Z 2025-12-04T08:59:26.3062121Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.3062555Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:26.3062967Z features = self.backbone(images.tensor) 2025-12-04T08:59:26.3063324Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:26.3063663Z x = stage(x) 2025-12-04T08:59:26.3063972Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:59:26.3064310Z out = self.conv2(out) 2025-12-04T08:59:26.3064618Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:26.3064938Z x = F.conv2d( 2025-12-04T08:59:26.3065026Z 2025-12-04T08:59:26.3065122Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.3065556Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:26.3065973Z features = self.backbone(images.tensor) 2025-12-04T08:59:26.3066330Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:26.3066662Z x = stage(x) 2025-12-04T08:59:26.3066974Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:59:26.3067323Z out = F.relu_(out) 2025-12-04T08:59:26.3067418Z 2025-12-04T08:59:26.3067520Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.3067980Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:26.3068397Z features = self.backbone(images.tensor) 2025-12-04T08:59:26.3068753Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:26.3069084Z x = stage(x) 2025-12-04T08:59:26.3069397Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:59:26.3069744Z out = self.conv3(out) 2025-12-04T08:59:26.3070053Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:26.3070383Z x = F.conv2d( 2025-12-04T08:59:26.3070477Z 2025-12-04T08:59:26.3070575Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.3071014Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:26.3071429Z features = self.backbone(images.tensor) 2025-12-04T08:59:26.3071779Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:26.3072115Z x = stage(x) 2025-12-04T08:59:26.3072423Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward 2025-12-04T08:59:26.3072801Z shortcut = self.shortcut(x) 2025-12-04T08:59:26.3073125Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:26.3073447Z x = F.conv2d( 2025-12-04T08:59:26.3073533Z 2025-12-04T08:59:26.3073636Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.3074065Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:26.3074489Z features = self.backbone(images.tensor) 2025-12-04T08:59:26.3074845Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:26.3075177Z x = stage(x) 2025-12-04T08:59:26.3075490Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:59:26.3075836Z out = self.conv1(x) 2025-12-04T08:59:26.3076141Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:26.3076455Z x = F.conv2d( 2025-12-04T08:59:26.3076545Z 2025-12-04T08:59:26.3076640Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.3077076Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:26.3077492Z features = self.backbone(images.tensor) 2025-12-04T08:59:26.3077841Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:26.3078180Z x = stage(x) 2025-12-04T08:59:26.3078489Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:59:26.3078824Z out = F.relu_(out) 2025-12-04T08:59:26.3078924Z 2025-12-04T08:59:26.3079019Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.3079453Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:26.3079863Z features = self.backbone(images.tensor) 2025-12-04T08:59:26.3080214Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:26.3080555Z x = stage(x) 2025-12-04T08:59:26.3080894Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:59:26.3081234Z out = self.conv2(out) 2025-12-04T08:59:26.3081544Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:26.3081956Z x = F.conv2d( 2025-12-04T08:59:26.3082058Z 2025-12-04T08:59:26.3082170Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.3082642Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:26.3083146Z features = self.backbone(images.tensor) 2025-12-04T08:59:26.3083524Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:26.3083866Z x = stage(x) 2025-12-04T08:59:26.3084174Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:59:26.3084522Z out = F.relu_(out) 2025-12-04T08:59:26.3084616Z 2025-12-04T08:59:26.3084720Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.3085151Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:26.3085584Z features = self.backbone(images.tensor) 2025-12-04T08:59:26.3085941Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:26.3086279Z x = stage(x) 2025-12-04T08:59:26.3086582Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:59:26.3086931Z out = self.conv3(out) 2025-12-04T08:59:26.3087242Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:26.3087558Z x = F.conv2d( 2025-12-04T08:59:26.3087651Z 2025-12-04T08:59:26.3087746Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.3088175Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:26.3088585Z features = self.backbone(images.tensor) 2025-12-04T08:59:26.3088934Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:26.3089272Z x = stage(x) 2025-12-04T08:59:26.3089581Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:59:26.3089925Z out = F.relu_(out) 2025-12-04T08:59:26.3090019Z 2025-12-04T08:59:26.3090113Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.3090548Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:26.3090961Z features = self.backbone(images.tensor) 2025-12-04T08:59:26.3091306Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:26.3091645Z x = stage(x) 2025-12-04T08:59:26.3091959Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:59:26.3092302Z out = self.conv1(x) 2025-12-04T08:59:26.3092602Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:26.3092923Z x = F.conv2d( 2025-12-04T08:59:26.3093010Z 2025-12-04T08:59:26.3093111Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.3093537Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:26.3093983Z features = self.backbone(images.tensor) 2025-12-04T08:59:26.3094340Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:26.3094681Z x = stage(x) 2025-12-04T08:59:26.3094986Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:59:26.3095331Z out = F.relu_(out) 2025-12-04T08:59:26.3095423Z 2025-12-04T08:59:26.3095524Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.3095956Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:26.3096380Z features = self.backbone(images.tensor) 2025-12-04T08:59:26.3096736Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:26.3097078Z x = stage(x) 2025-12-04T08:59:26.3097383Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:59:26.3097731Z out = self.conv2(out) 2025-12-04T08:59:26.3098045Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:26.3098379Z x = F.conv2d( 2025-12-04T08:59:26.3098464Z 2025-12-04T08:59:26.3098560Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.3098992Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:26.3099410Z features = self.backbone(images.tensor) 2025-12-04T08:59:26.3099766Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:26.3100098Z x = stage(x) 2025-12-04T08:59:26.3100410Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:59:26.3100754Z out = F.relu_(out) 2025-12-04T08:59:26.3100848Z 2025-12-04T08:59:26.3100944Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.3101382Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:26.3101797Z features = self.backbone(images.tensor) 2025-12-04T08:59:26.3102153Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:26.3102485Z x = stage(x) 2025-12-04T08:59:26.3102796Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:59:26.3103137Z out = self.conv3(out) 2025-12-04T08:59:26.3103440Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:26.3103757Z x = F.conv2d( 2025-12-04T08:59:26.3103861Z 2025-12-04T08:59:26.3103955Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.3104385Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:26.3104793Z features = self.backbone(images.tensor) 2025-12-04T08:59:26.3105148Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:26.3105486Z x = stage(x) 2025-12-04T08:59:26.3105798Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:59:26.3106133Z out = F.relu_(out) 2025-12-04T08:59:26.3106233Z 2025-12-04T08:59:26.3106328Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.3106803Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:26.3107222Z features = self.backbone(images.tensor) 2025-12-04T08:59:26.3107589Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:26.3107936Z x = stage(x) 2025-12-04T08:59:26.3108258Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:59:26.3108604Z out = self.conv1(x) 2025-12-04T08:59:26.3108915Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:26.3109263Z x = F.conv2d( 2025-12-04T08:59:26.3109350Z 2025-12-04T08:59:26.3109449Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.3109901Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:26.3110332Z features = self.backbone(images.tensor) 2025-12-04T08:59:26.3110695Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:26.3111047Z x = stage(x) 2025-12-04T08:59:26.3111374Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:59:26.3111712Z out = F.relu_(out) 2025-12-04T08:59:26.3111804Z 2025-12-04T08:59:26.3111907Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.3112329Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:26.3112743Z features = self.backbone(images.tensor) 2025-12-04T08:59:26.3113098Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:26.3113424Z x = stage(x) 2025-12-04T08:59:26.3113731Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:59:26.3114070Z out = self.conv2(out) 2025-12-04T08:59:26.3114378Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:26.3114686Z x = F.conv2d( 2025-12-04T08:59:26.3114777Z 2025-12-04T08:59:26.3114873Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.3115307Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:26.3115873Z features = self.backbone(images.tensor) 2025-12-04T08:59:26.3116226Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:26.3116572Z x = stage(x) 2025-12-04T08:59:26.3116885Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:59:26.3117223Z out = F.relu_(out) 2025-12-04T08:59:26.3117327Z 2025-12-04T08:59:26.3117424Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.3117858Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:26.3118275Z features = self.backbone(images.tensor) 2025-12-04T08:59:26.3118625Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:26.3118967Z x = stage(x) 2025-12-04T08:59:26.3119279Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:59:26.3119678Z out = self.conv3(out) 2025-12-04T08:59:26.3119987Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:26.3120306Z x = F.conv2d( 2025-12-04T08:59:26.3120390Z 2025-12-04T08:59:26.3120492Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.3120914Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:26.3121327Z features = self.backbone(images.tensor) 2025-12-04T08:59:26.3121684Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:26.3122127Z x = stage(x) 2025-12-04T08:59:26.3122463Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:59:26.3122830Z out = F.relu_(out) 2025-12-04T08:59:26.3122931Z 2025-12-04T08:59:26.3123047Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.3123512Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:26.3123947Z features = self.backbone(images.tensor) 2025-12-04T08:59:26.3124323Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:26.3124715Z x = stage(x) 2025-12-04T08:59:26.3125017Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:59:26.3125361Z out = self.conv1(x) 2025-12-04T08:59:26.3125665Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:26.3125977Z x = F.conv2d( 2025-12-04T08:59:26.3126070Z 2025-12-04T08:59:26.3126166Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.3126604Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:26.3127020Z features = self.backbone(images.tensor) 2025-12-04T08:59:26.3127366Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:26.3127709Z x = stage(x) 2025-12-04T08:59:26.3128021Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:59:26.3128365Z out = F.relu_(out) 2025-12-04T08:59:26.3128457Z 2025-12-04T08:59:26.3128552Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.3128986Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:26.3129398Z features = self.backbone(images.tensor) 2025-12-04T08:59:26.3129750Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:26.3130089Z x = stage(x) 2025-12-04T08:59:26.3130401Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:59:26.3130856Z out = self.conv2(out) 2025-12-04T08:59:26.3131170Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:26.3131497Z x = F.conv2d( 2025-12-04T08:59:26.3131583Z 2025-12-04T08:59:26.3131689Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.3132135Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:26.3132546Z features = self.backbone(images.tensor) 2025-12-04T08:59:26.3132942Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:26.3133284Z x = stage(x) 2025-12-04T08:59:26.3133588Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:59:26.3133936Z out = F.relu_(out) 2025-12-04T08:59:26.3134041Z 2025-12-04T08:59:26.3134136Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.3134569Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:26.3134974Z features = self.backbone(images.tensor) 2025-12-04T08:59:26.3135350Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:26.3135691Z x = stage(x) 2025-12-04T08:59:26.3135994Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:59:26.3136397Z out = self.conv3(out) 2025-12-04T08:59:26.3136710Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:26.3137033Z x = F.conv2d( 2025-12-04T08:59:26.3137118Z 2025-12-04T08:59:26.3137219Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.3137695Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:26.3138108Z features = self.backbone(images.tensor) 2025-12-04T08:59:26.3138461Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:26.3138793Z x = stage(x) 2025-12-04T08:59:26.3139099Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:59:26.3139439Z out = F.relu_(out) 2025-12-04T08:59:26.3139532Z 2025-12-04T08:59:26.3139627Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.3140060Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:26.3140478Z features = self.backbone(images.tensor) 2025-12-04T08:59:26.3140833Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:26.3141165Z x = stage(x) 2025-12-04T08:59:26.3141476Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:59:26.3141830Z out = self.conv1(x) 2025-12-04T08:59:26.3142139Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:26.3142453Z x = F.conv2d( 2025-12-04T08:59:26.3142544Z 2025-12-04T08:59:26.3142640Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.3143073Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:26.3143510Z features = self.backbone(images.tensor) 2025-12-04T08:59:26.3144037Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:26.3144386Z x = stage(x) 2025-12-04T08:59:26.3144702Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:59:26.3145043Z out = F.relu_(out) 2025-12-04T08:59:26.3145145Z 2025-12-04T08:59:26.3145243Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.3145728Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:26.3146151Z features = self.backbone(images.tensor) 2025-12-04T08:59:26.3146511Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:26.3146860Z x = stage(x) 2025-12-04T08:59:26.3147177Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:59:26.3147525Z out = self.conv2(out) 2025-12-04T08:59:26.3147841Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:26.3148172Z x = F.conv2d( 2025-12-04T08:59:26.3148258Z 2025-12-04T08:59:26.3148382Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.3148822Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:26.3149255Z features = self.backbone(images.tensor) 2025-12-04T08:59:26.3149621Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:26.3149964Z x = stage(x) 2025-12-04T08:59:26.3150284Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:59:26.3150778Z out = F.relu_(out) 2025-12-04T08:59:26.3150917Z 2025-12-04T08:59:26.3151055Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.3151648Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:26.3152079Z features = self.backbone(images.tensor) 2025-12-04T08:59:26.3152445Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:26.3152794Z x = stage(x) 2025-12-04T08:59:26.3153108Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:59:26.3153460Z out = self.conv3(out) 2025-12-04T08:59:26.3153775Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:26.3154098Z x = F.conv2d( 2025-12-04T08:59:26.3154191Z 2025-12-04T08:59:26.3154288Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.3154737Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:26.3155165Z features = self.backbone(images.tensor) 2025-12-04T08:59:26.3155525Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:26.3155879Z x = stage(x) 2025-12-04T08:59:26.3156191Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:59:26.3156527Z out = F.relu_(out) 2025-12-04T08:59:26.3156629Z 2025-12-04T08:59:34.2711954Z cudagraph partition due to non gpu ops 2025-12-04T08:59:34.2712258Z cudagraph partition due to non gpu ops 2025-12-04T08:59:34.2712466Z cudagraph partition due to non gpu ops 2025-12-04T08:59:34.2712686Z cudagraph partition due to non gpu ops 2025-12-04T08:59:34.2712948Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:34.2713423Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 97, in convert_boxes_to_pooler_format 2025-12-04T08:59:34.2713869Z sizes = shapes_to_tensor([x.__len__() for x in box_lists]) 2025-12-04T08:59:34.2714284Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 39, in shapes_to_tensor 2025-12-04T08:59:34.2714664Z return torch.as_tensor(x, device=device) 2025-12-04T08:59:34.2714813Z 2025-12-04T08:59:34.2715311Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:34.2715958Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 95, in convert_boxes_to_pooler_format 2025-12-04T08:59:34.2716380Z boxes = torch.cat([x.tensor for x in box_lists], dim=0) 2025-12-04T08:59:34.2716547Z 2025-12-04T08:59:34.9119354Z cudagraph partition due to non gpu ops 2025-12-04T08:59:34.9119676Z cudagraph partition due to non gpu ops 2025-12-04T08:59:34.9119908Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:34.9120440Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 69, in torch_dynamo_resume_in__convert_boxes_to_pooler_format_at_66 2025-12-04T08:59:34.9121406Z return cat([indices[:, None], boxes], dim=1) 2025-12-04T08:59:34.9121770Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 72, in cat 2025-12-04T08:59:34.9122257Z return torch.cat(tensors, dim) 2025-12-04T08:59:34.9122402Z 2025-12-04T08:59:35.4475623Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:35.4476173Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 246, in torch_dynamo_resume_in_forward_at_243 2025-12-04T08:59:35.4479070Z return self.level_poolers[0](x[0], pooler_fmt_boxes) 2025-12-04T08:59:35.4479455Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward 2025-12-04T08:59:35.4479816Z return roi_align( 2025-12-04T08:59:35.4480137Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align 2025-12-04T08:59:35.4480513Z return torch.ops.torchvision.roi_align( 2025-12-04T08:59:35.4480657Z 2025-12-04T08:59:35.4480761Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:35.4481210Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 246, in torch_dynamo_resume_in_forward_at_243 2025-12-04T08:59:35.4481667Z return self.level_poolers[0](x[0], pooler_fmt_boxes) 2025-12-04T08:59:35.4482159Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward 2025-12-04T08:59:35.4482502Z return roi_align( 2025-12-04T08:59:35.4482828Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align 2025-12-04T08:59:35.4483196Z return torch.ops.torchvision.roi_align( 2025-12-04T08:59:35.4483332Z 2025-12-04T08:59:39.2226210Z cudagraph partition due to non gpu ops 2025-12-04T08:59:39.2226515Z cudagraph partition due to non gpu ops 2025-12-04T08:59:39.2226782Z cudagraph partition due to non gpu ops 2025-12-04T08:59:39.2227030Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:39.2227576Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T08:59:39.2228039Z return self.res5(x) 2025-12-04T08:59:39.2228399Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:59:39.2228768Z out = self.conv1(x) 2025-12-04T08:59:39.2229098Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:39.2229432Z x = F.conv2d( 2025-12-04T08:59:39.2229535Z 2025-12-04T08:59:39.2229641Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:39.2230133Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T08:59:39.2230577Z return self.res5(x) 2025-12-04T08:59:39.2231261Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:59:39.2231633Z out = F.relu_(out) 2025-12-04T08:59:39.2231735Z 2025-12-04T08:59:39.2231846Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:39.2232336Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T08:59:39.2232773Z return self.res5(x) 2025-12-04T08:59:39.2233110Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:59:39.2233474Z out = self.conv2(out) 2025-12-04T08:59:39.2233830Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:39.2234220Z x = F.conv2d( 2025-12-04T08:59:39.2234316Z 2025-12-04T08:59:39.2234419Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:39.2234932Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T08:59:39.2235364Z return self.res5(x) 2025-12-04T08:59:39.2235695Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:59:39.2236092Z out = F.relu_(out) 2025-12-04T08:59:39.2236189Z 2025-12-04T08:59:39.2236293Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:39.2236756Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T08:59:39.2237193Z return self.res5(x) 2025-12-04T08:59:39.2237526Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:59:39.2237874Z out = self.conv3(out) 2025-12-04T08:59:39.2238197Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:39.2238528Z x = F.conv2d( 2025-12-04T08:59:39.2238616Z 2025-12-04T08:59:39.2238721Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:39.2239192Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T08:59:39.2239627Z return self.res5(x) 2025-12-04T08:59:39.2239957Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward 2025-12-04T08:59:39.2240323Z shortcut = self.shortcut(x) 2025-12-04T08:59:39.2240656Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:39.2240987Z x = F.conv2d( 2025-12-04T08:59:39.2241075Z 2025-12-04T08:59:39.2241180Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:39.2241662Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T08:59:39.2242267Z return self.res5(x) 2025-12-04T08:59:39.2242638Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:59:39.2243049Z out = self.conv1(x) 2025-12-04T08:59:39.2243397Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:39.2243730Z x = F.conv2d( 2025-12-04T08:59:39.2243820Z 2025-12-04T08:59:39.2243927Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:39.2244399Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T08:59:39.2244841Z return self.res5(x) 2025-12-04T08:59:39.2245245Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:59:39.2245603Z out = F.relu_(out) 2025-12-04T08:59:39.2245700Z 2025-12-04T08:59:39.2245796Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:39.2246291Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T08:59:39.2246730Z return self.res5(x) 2025-12-04T08:59:39.2247064Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:59:39.2247443Z out = self.conv2(out) 2025-12-04T08:59:39.2247765Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:39.2248087Z x = F.conv2d( 2025-12-04T08:59:39.2248171Z 2025-12-04T08:59:39.2248278Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:39.2248732Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T08:59:39.2249159Z return self.res5(x) 2025-12-04T08:59:39.2249479Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:59:39.2249840Z out = F.relu_(out) 2025-12-04T08:59:39.2249935Z 2025-12-04T08:59:39.2250031Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:39.2250488Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T08:59:39.2250914Z return self.res5(x) 2025-12-04T08:59:39.2251234Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:59:39.2251577Z out = self.conv3(out) 2025-12-04T08:59:39.2251885Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:39.2252203Z x = F.conv2d( 2025-12-04T08:59:39.2252287Z 2025-12-04T08:59:39.2252383Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:39.2252842Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T08:59:39.2253263Z return self.res5(x) 2025-12-04T08:59:39.2253584Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:59:39.2253920Z out = F.relu_(out) 2025-12-04T08:59:39.2254021Z 2025-12-04T08:59:39.2254115Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:39.2254577Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T08:59:39.2254999Z return self.res5(x) 2025-12-04T08:59:39.2255313Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:59:39.2255658Z out = self.conv1(x) 2025-12-04T08:59:39.2255964Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:39.2256278Z x = F.conv2d( 2025-12-04T08:59:39.2256372Z 2025-12-04T08:59:39.2256469Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:39.2256929Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T08:59:39.2257357Z return self.res5(x) 2025-12-04T08:59:39.2257700Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:59:39.2258041Z out = F.relu_(out) 2025-12-04T08:59:39.2258133Z 2025-12-04T08:59:39.2258234Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:39.2258690Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T08:59:39.2259106Z return self.res5(x) 2025-12-04T08:59:39.2259426Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:59:39.2259769Z out = self.conv2(out) 2025-12-04T08:59:39.2260072Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:39.2260409Z x = F.conv2d( 2025-12-04T08:59:39.2260500Z 2025-12-04T08:59:39.2260596Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:39.2261062Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T08:59:39.2261478Z return self.res5(x) 2025-12-04T08:59:39.2261801Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:59:39.2262165Z out = F.relu_(out) 2025-12-04T08:59:39.2262262Z 2025-12-04T08:59:39.2262366Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:39.2262829Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T08:59:39.2263270Z return self.res5(x) 2025-12-04T08:59:39.2263603Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:59:39.2263953Z out = self.conv3(out) 2025-12-04T08:59:39.2264273Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:39.2264599Z x = F.conv2d( 2025-12-04T08:59:39.2264687Z 2025-12-04T08:59:39.2264792Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:39.2265251Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T08:59:39.2265689Z return self.res5(x) 2025-12-04T08:59:39.2266020Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:59:39.2266369Z out = F.relu_(out) 2025-12-04T08:59:39.2266467Z 2025-12-04T08:59:49.1197418Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:49.1200035Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 480, in torch_dynamo_resume_in_forward_at_477 2025-12-04T08:59:49.1200666Z predictions = self.box_predictor(box_features.mean(dim=[2, 3])) 2025-12-04T08:59:49.1201158Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 303, in forward 2025-12-04T08:59:49.1201531Z scores = self.cls_score(x) 2025-12-04T08:59:49.1201653Z 2025-12-04T08:59:49.1201877Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:49.1202362Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 480, in torch_dynamo_resume_in_forward_at_477 2025-12-04T08:59:49.1202858Z predictions = self.box_predictor(box_features.mean(dim=[2, 3])) 2025-12-04T08:59:49.1203305Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 304, in forward 2025-12-04T08:59:49.1203689Z proposal_deltas = self.bbox_pred(x) 2025-12-04T08:59:49.1203822Z 2025-12-04T08:59:50.4704700Z cudagraph partition due to non gpu ops 2025-12-04T08:59:50.4706594Z cudagraph partition due to non gpu ops 2025-12-04T08:59:50.4706863Z cudagraph partition due to non gpu ops 2025-12-04T08:59:50.4707063Z cudagraph partition due to non gpu ops 2025-12-04T08:59:50.4707300Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:50.4707746Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 476, in inference 2025-12-04T08:59:50.4708173Z boxes = self.predict_boxes(predictions, proposals) 2025-12-04T08:59:50.4708584Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 542, in predict_boxes 2025-12-04T08:59:50.4709037Z proposal_boxes = cat([p.proposal_boxes.tensor for p in proposals], dim=0) 2025-12-04T08:59:50.4709530Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 72, in cat 2025-12-04T08:59:50.4710316Z return torch.cat(tensors, dim) 2025-12-04T08:59:50.4710448Z 2025-12-04T08:59:50.4710559Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:50.4710982Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 476, in inference 2025-12-04T08:59:50.4711389Z boxes = self.predict_boxes(predictions, proposals) 2025-12-04T08:59:50.4711867Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 543, in predict_boxes 2025-12-04T08:59:50.4712288Z predict_boxes = self.box2box_transform.apply_deltas( 2025-12-04T08:59:50.4712704Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/box_regression.py", line 115, in apply_deltas 2025-12-04T08:59:50.4713142Z pred_boxes = torch.stack((x1, y1, x2, y2), dim=-1) 2025-12-04T08:59:50.4713309Z 2025-12-04T08:59:52.5840223Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:52.5840771Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/boxes.py", line 99, in _batched_nms_coordinate_trick 2025-12-04T08:59:52.5841332Z max_coordinate = boxes.max() 2025-12-04T08:59:52.5841473Z 2025-12-04T08:59:52.5841579Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:52.5842093Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/boxes.py", line 101, in _batched_nms_coordinate_trick 2025-12-04T08:59:52.5842495Z boxes_for_nms = boxes + offsets[:, None] 2025-12-04T08:59:52.5842642Z 2025-12-04T08:59:53.2397163Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:53.2399233Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 165, in torch_dynamo_resume_in_fast_rcnn_inference_single_image_at_162 2025-12-04T08:59:53.2399909Z boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep] 2025-12-04T08:59:53.2400132Z 2025-12-04T08:59:53.2400293Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:53.2400892Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 165, in torch_dynamo_resume_in_fast_rcnn_inference_single_image_at_162 2025-12-04T08:59:53.2401515Z boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep] 2025-12-04T08:59:53.2401741Z 2025-12-04T08:59:53.2402036Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:53.2402600Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 165, in torch_dynamo_resume_in_fast_rcnn_inference_single_image_at_162 2025-12-04T08:59:53.2403145Z boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep] 2025-12-04T08:59:53.2403344Z 2025-12-04T09:00:15.3650307Z Compilation time (from dynamo_timed): 37.487159581 2025-12-04T09:00:15.3650625Z pass 2025-12-04T09:00:15.3650920Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:00:15.3652014Z TIMING: gc:0.03761 entire_frame_compile:37.48716 _recursive_pre_grad_passes:0.0263 _recursive_joint_graph_passes:0.52824 async_compile.wait:4.34317 inductor_compile:16.28802 backend_compile:24.2502 _recursive_post_grad_passes:0.0909 code_gen:7.22663 total_wall_time:37.48716 2025-12-04T09:00:15.3653057Z STATS: call_* op count: 606 | FakeTensorMode.__torch_dispatch__:14646 | FakeTensor.__torch_dispatch__:6215 | ProxyTorchDispatchMode.__torch_dispatch__:4118 | attempt fast:67 | slow no contiguity match:32 | fast is_contiguous:35 2025-12-04T09:00:15.3653749Z Dynamo produced 53 graphs covering 606 ops with 42 graph breaks (6 unique) 2025-12-04T09:00:18.4362092Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-12-04T09:00:18.4363778Z import pynvml # type: ignore[import] 2025-12-04T09:00:20.4936910Z 2025-12-04T09:00:33.9967037Z loading model: 0it [00:00, ?it/s]W1204 09:00:33.995000 7106 site-packages/torch/fx/_symbolic_trace.py:53] is_fx_tracing will return true for both fx.symbolic_trace and torch.export. Please use is_fx_tracing_symbolic_tracing() for specifically fx.symbolic_trace or torch.compiler.is_compiling() for specifically torch.export/compile. 2025-12-04T09:00:38.2126605Z 2025-12-04T09:00:38.2127101Z loading model: 0it [00:17, ?it/s] 2025-12-04T09:00:38.2138349Z cpu eval detectron2_fasterrcnn_r_50_dc5 2025-12-04T09:00:52.6749184Z WARNING:common:fp64 golden ref were not generated for detectron2_fasterrcnn_r_50_dc5. Setting accuracy check to cosine 2025-12-04T09:00:52.7200515Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:01:15.0853774Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:01:37.0271189Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:01:54.0180225Z cudagraph partition due to non gpu ops 2025-12-04T09:01:54.0180516Z cudagraph partition due to non gpu ops 2025-12-04T09:01:54.0180726Z cudagraph partition due to non gpu ops 2025-12-04T09:01:54.0180917Z cudagraph partition due to non gpu ops 2025-12-04T09:01:54.0186738Z cudagraph partition due to non gpu ops 2025-12-04T09:01:54.0186982Z cudagraph partition due to non gpu ops 2025-12-04T09:01:54.0187184Z cudagraph partition due to non gpu ops 2025-12-04T09:01:54.0187374Z cudagraph partition due to non gpu ops 2025-12-04T09:01:54.0187571Z cudagraph partition due to non gpu ops 2025-12-04T09:01:54.0187778Z cudagraph partition due to non gpu ops 2025-12-04T09:01:54.0187963Z cudagraph partition due to non gpu ops 2025-12-04T09:01:54.0188162Z cudagraph partition due to non gpu ops 2025-12-04T09:01:54.0188353Z cudagraph partition due to non gpu ops 2025-12-04T09:01:54.0188557Z cudagraph partition due to non gpu ops 2025-12-04T09:01:54.0188742Z cudagraph partition due to non gpu ops 2025-12-04T09:01:54.0188932Z cudagraph partition due to non gpu ops 2025-12-04T09:01:54.0189134Z cudagraph partition due to non gpu ops 2025-12-04T09:01:54.0189322Z cudagraph partition due to non gpu ops 2025-12-04T09:01:54.0189550Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0190044Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0190482Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0190854Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 445, in forward 2025-12-04T09:01:54.0191208Z x = self.stem(x) 2025-12-04T09:01:54.0191549Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 356, in forward 2025-12-04T09:01:54.0192293Z x = self.conv1(x) 2025-12-04T09:01:54.0192613Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:01:54.0192940Z x = F.conv2d( 2025-12-04T09:01:54.0193041Z 2025-12-04T09:01:54.0193155Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0193601Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0194033Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0194404Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 445, in forward 2025-12-04T09:01:54.0194798Z x = self.stem(x) 2025-12-04T09:01:54.0195120Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 357, in forward 2025-12-04T09:01:54.0195456Z x = F.relu_(x) 2025-12-04T09:01:54.0195545Z 2025-12-04T09:01:54.0195653Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0196084Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0196495Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0196854Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 445, in forward 2025-12-04T09:01:54.0197246Z x = self.stem(x) 2025-12-04T09:01:54.0197560Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 358, in forward 2025-12-04T09:01:54.0197949Z x = F.max_pool2d(x, kernel_size=3, stride=2, padding=1) 2025-12-04T09:01:54.0198104Z 2025-12-04T09:01:54.0198208Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0198640Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0199057Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0199415Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0199757Z x = stage(x) 2025-12-04T09:01:54.0200074Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:01:54.0200423Z out = self.conv1(x) 2025-12-04T09:01:54.0200736Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:01:54.0201069Z x = F.conv2d( 2025-12-04T09:01:54.0201161Z 2025-12-04T09:01:54.0201260Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0201714Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0202376Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0202761Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0203134Z x = stage(x) 2025-12-04T09:01:54.0203486Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:01:54.0203867Z out = F.relu_(out) 2025-12-04T09:01:54.0203973Z 2025-12-04T09:01:54.0204077Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0204549Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0205006Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0205392Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0205754Z x = stage(x) 2025-12-04T09:01:54.0206178Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:01:54.0206553Z out = self.conv2(out) 2025-12-04T09:01:54.0206884Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:01:54.0207284Z x = F.conv2d( 2025-12-04T09:01:54.0207377Z 2025-12-04T09:01:54.0207486Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0207954Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0208422Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0208806Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0209170Z x = stage(x) 2025-12-04T09:01:54.0209501Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:01:54.0209869Z out = F.relu_(out) 2025-12-04T09:01:54.0209978Z 2025-12-04T09:01:54.0210081Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0210594Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0211060Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0211447Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0211827Z x = stage(x) 2025-12-04T09:01:54.0212191Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:01:54.0212562Z out = self.conv3(out) 2025-12-04T09:01:54.0212903Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:01:54.0213244Z x = F.conv2d( 2025-12-04T09:01:54.0213331Z 2025-12-04T09:01:54.0213427Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0213866Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0214287Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0214641Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0214975Z x = stage(x) 2025-12-04T09:01:54.0215289Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward 2025-12-04T09:01:54.0215930Z shortcut = self.shortcut(x) 2025-12-04T09:01:54.0216258Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:01:54.0216591Z x = F.conv2d( 2025-12-04T09:01:54.0216689Z 2025-12-04T09:01:54.0216786Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0217226Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0217639Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0217999Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0218344Z x = stage(x) 2025-12-04T09:01:54.0218658Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:01:54.0218997Z out = self.conv1(x) 2025-12-04T09:01:54.0219306Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:01:54.0219622Z x = F.conv2d( 2025-12-04T09:01:54.0219707Z 2025-12-04T09:01:54.0219867Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0220306Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0220727Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0221098Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0221444Z x = stage(x) 2025-12-04T09:01:54.0221770Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:01:54.0222152Z out = F.relu_(out) 2025-12-04T09:01:54.0222251Z 2025-12-04T09:01:54.0222350Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0222801Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0223231Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0223582Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0223908Z x = stage(x) 2025-12-04T09:01:54.0224216Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:01:54.0224622Z out = self.conv2(out) 2025-12-04T09:01:54.0224931Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:01:54.0225242Z x = F.conv2d( 2025-12-04T09:01:54.0225335Z 2025-12-04T09:01:54.0225433Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0225868Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0226284Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0226630Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0226969Z x = stage(x) 2025-12-04T09:01:54.0227281Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:01:54.0227623Z out = F.relu_(out) 2025-12-04T09:01:54.0227719Z 2025-12-04T09:01:54.0227814Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0228249Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0228665Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0229013Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0229348Z x = stage(x) 2025-12-04T09:01:54.0229661Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:01:54.0230004Z out = self.conv3(out) 2025-12-04T09:01:54.0230305Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:01:54.0230622Z x = F.conv2d( 2025-12-04T09:01:54.0230709Z 2025-12-04T09:01:54.0230811Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0231256Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0231671Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0232047Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0232387Z x = stage(x) 2025-12-04T09:01:54.0232729Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:01:54.0233071Z out = F.relu_(out) 2025-12-04T09:01:54.0233169Z 2025-12-04T09:01:54.0233266Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0233705Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0234115Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0234470Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0234811Z x = stage(x) 2025-12-04T09:01:54.0235115Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:01:54.0235496Z out = self.conv1(x) 2025-12-04T09:01:54.0235803Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:01:54.0236119Z x = F.conv2d( 2025-12-04T09:01:54.0236205Z 2025-12-04T09:01:54.0236300Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0236733Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0237168Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0237527Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0237861Z x = stage(x) 2025-12-04T09:01:54.0238172Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:01:54.0238524Z out = F.relu_(out) 2025-12-04T09:01:54.0238618Z 2025-12-04T09:01:54.0238715Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0239157Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0239578Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0239937Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0240270Z x = stage(x) 2025-12-04T09:01:54.0240583Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:01:54.0240930Z out = self.conv2(out) 2025-12-04T09:01:54.0241241Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:01:54.0241553Z x = F.conv2d( 2025-12-04T09:01:54.0241644Z 2025-12-04T09:01:54.0241740Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0242268Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0242706Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0243090Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0243450Z x = stage(x) 2025-12-04T09:01:54.0243802Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:01:54.0244151Z out = F.relu_(out) 2025-12-04T09:01:54.0244255Z 2025-12-04T09:01:54.0244354Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0244824Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0245272Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0245683Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0246042Z x = stage(x) 2025-12-04T09:01:54.0246370Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:01:54.0246727Z out = self.conv3(out) 2025-12-04T09:01:54.0247052Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:01:54.0247392Z x = F.conv2d( 2025-12-04T09:01:54.0247482Z 2025-12-04T09:01:54.0247589Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0248035Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0248493Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0248866Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0249212Z x = stage(x) 2025-12-04T09:01:54.0249538Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:01:54.0249897Z out = F.relu_(out) 2025-12-04T09:01:54.0249994Z 2025-12-04T09:01:54.0250100Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0250549Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0251001Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0251373Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0251730Z x = stage(x) 2025-12-04T09:01:54.0252051Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:01:54.0252411Z out = self.conv1(x) 2025-12-04T09:01:54.0252743Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:01:54.0253134Z x = F.conv2d( 2025-12-04T09:01:54.0253230Z 2025-12-04T09:01:54.0253327Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0253766Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0254227Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0254585Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0254930Z x = stage(x) 2025-12-04T09:01:54.0255248Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:01:54.0255585Z out = F.relu_(out) 2025-12-04T09:01:54.0255689Z 2025-12-04T09:01:54.0255787Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0256226Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0256643Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0256993Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0257336Z x = stage(x) 2025-12-04T09:01:54.0257648Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:01:54.0257992Z out = self.conv2(out) 2025-12-04T09:01:54.0258295Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:01:54.0258615Z x = F.conv2d( 2025-12-04T09:01:54.0258699Z 2025-12-04T09:01:54.0258804Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0259266Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0259684Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0260042Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0260387Z x = stage(x) 2025-12-04T09:01:54.0260696Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:01:54.0261039Z out = F.relu_(out) 2025-12-04T09:01:54.0261134Z 2025-12-04T09:01:54.0261238Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0261685Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0262100Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0262457Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0262795Z x = stage(x) 2025-12-04T09:01:54.0263100Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:01:54.0263442Z out = self.conv3(out) 2025-12-04T09:01:54.0263770Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:01:54.0264087Z x = F.conv2d( 2025-12-04T09:01:54.0264171Z 2025-12-04T09:01:54.0264267Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0264696Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0265112Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0265473Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0265820Z x = stage(x) 2025-12-04T09:01:54.0266139Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward 2025-12-04T09:01:54.0266497Z shortcut = self.shortcut(x) 2025-12-04T09:01:54.0266820Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:01:54.0267153Z x = F.conv2d( 2025-12-04T09:01:54.0267237Z 2025-12-04T09:01:54.0267341Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0267768Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0268183Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0268536Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0268878Z x = stage(x) 2025-12-04T09:01:54.0269181Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:01:54.0269524Z out = self.conv1(x) 2025-12-04T09:01:54.0269831Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:01:54.0270152Z x = F.conv2d( 2025-12-04T09:01:54.0270237Z 2025-12-04T09:01:54.0270331Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0270765Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0271193Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0271550Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0271896Z x = stage(x) 2025-12-04T09:01:54.0272252Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:01:54.0272594Z out = F.relu_(out) 2025-12-04T09:01:54.0272687Z 2025-12-04T09:01:54.0272782Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0273215Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0273630Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0273982Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0274334Z x = stage(x) 2025-12-04T09:01:54.0274644Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:01:54.0275003Z out = self.conv2(out) 2025-12-04T09:01:54.0275317Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:01:54.0275646Z x = F.conv2d( 2025-12-04T09:01:54.0275741Z 2025-12-04T09:01:54.0275844Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0276279Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0276702Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0277056Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0277397Z x = stage(x) 2025-12-04T09:01:54.0277704Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:01:54.0278048Z out = F.relu_(out) 2025-12-04T09:01:54.0278149Z 2025-12-04T09:01:54.0278243Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0278679Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0279091Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0279456Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0279804Z x = stage(x) 2025-12-04T09:01:54.0280124Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:01:54.0280471Z out = self.conv3(out) 2025-12-04T09:01:54.0280787Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:01:54.0281118Z x = F.conv2d( 2025-12-04T09:01:54.0281205Z 2025-12-04T09:01:54.0281301Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0281748Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0282271Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0282682Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0283076Z x = stage(x) 2025-12-04T09:01:54.0283463Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:01:54.0283832Z out = F.relu_(out) 2025-12-04T09:01:54.0283931Z 2025-12-04T09:01:54.0284043Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0284491Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0284920Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0285336Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0285676Z x = stage(x) 2025-12-04T09:01:54.0285996Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:01:54.0286347Z out = self.conv1(x) 2025-12-04T09:01:54.0286661Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:01:54.0286980Z x = F.conv2d( 2025-12-04T09:01:54.0287073Z 2025-12-04T09:01:54.0287173Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0287622Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0288063Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0288434Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0288783Z x = stage(x) 2025-12-04T09:01:54.0289103Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:01:54.0289450Z out = F.relu_(out) 2025-12-04T09:01:54.0289575Z 2025-12-04T09:01:54.0289674Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0290145Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0290573Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0290931Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0291278Z x = stage(x) 2025-12-04T09:01:54.0291598Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:01:54.0291950Z out = self.conv2(out) 2025-12-04T09:01:54.0292270Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:01:54.0292601Z x = F.conv2d( 2025-12-04T09:01:54.0292688Z 2025-12-04T09:01:54.0292792Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0293235Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0293668Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0294034Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0294377Z x = stage(x) 2025-12-04T09:01:54.0294705Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:01:54.0295050Z out = F.relu_(out) 2025-12-04T09:01:54.0295142Z 2025-12-04T09:01:54.0295246Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0295678Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0296093Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0296449Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0296784Z x = stage(x) 2025-12-04T09:01:54.0297090Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:01:54.0297436Z out = self.conv3(out) 2025-12-04T09:01:54.0297746Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:01:54.0298061Z x = F.conv2d( 2025-12-04T09:01:54.0298154Z 2025-12-04T09:01:54.0298685Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0299130Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0299552Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0299908Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0300253Z x = stage(x) 2025-12-04T09:01:54.0300575Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:01:54.0300921Z out = F.relu_(out) 2025-12-04T09:01:54.0301025Z 2025-12-04T09:01:54.0301143Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0301574Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0301988Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0302334Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0302674Z x = stage(x) 2025-12-04T09:01:54.0302988Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:01:54.0303353Z out = self.conv1(x) 2025-12-04T09:01:54.0303648Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:01:54.0303968Z x = F.conv2d( 2025-12-04T09:01:54.0304052Z 2025-12-04T09:01:54.0304158Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0304587Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0305004Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0305360Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0305699Z x = stage(x) 2025-12-04T09:01:54.0306001Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:01:54.0306340Z out = F.relu_(out) 2025-12-04T09:01:54.0306434Z 2025-12-04T09:01:54.0306535Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0306965Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0307368Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0307722Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0308058Z x = stage(x) 2025-12-04T09:01:54.0308363Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:01:54.0308707Z out = self.conv2(out) 2025-12-04T09:01:54.0309017Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:01:54.0309504Z x = F.conv2d( 2025-12-04T09:01:54.0309593Z 2025-12-04T09:01:54.0309694Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0310132Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0310620Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0311023Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0311574Z x = stage(x) 2025-12-04T09:01:54.0311970Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:01:54.0312429Z out = F.relu_(out) 2025-12-04T09:01:54.0312535Z 2025-12-04T09:01:54.0326206Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0326810Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0327272Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0327673Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0328044Z x = stage(x) 2025-12-04T09:01:54.0328374Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:01:54.0328899Z out = self.conv3(out) 2025-12-04T09:01:54.0329235Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:01:54.0329573Z x = F.conv2d( 2025-12-04T09:01:54.0329675Z 2025-12-04T09:01:54.0329787Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0330250Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0330693Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0331116Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0331468Z x = stage(x) 2025-12-04T09:01:54.0331801Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:01:54.0332160Z out = F.relu_(out) 2025-12-04T09:01:54.0332262Z 2025-12-04T09:01:54.0332365Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0332826Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0333263Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0333628Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0333990Z x = stage(x) 2025-12-04T09:01:54.0334317Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:01:54.0334678Z out = self.conv1(x) 2025-12-04T09:01:54.0334996Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:01:54.0335321Z x = F.conv2d( 2025-12-04T09:01:54.0335409Z 2025-12-04T09:01:54.0335516Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0335957Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0336378Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0336741Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0337084Z x = stage(x) 2025-12-04T09:01:54.0337392Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:01:54.0337738Z out = F.relu_(out) 2025-12-04T09:01:54.0337842Z 2025-12-04T09:01:54.0337939Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0338376Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0338786Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0339145Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0339486Z x = stage(x) 2025-12-04T09:01:54.0339863Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:01:54.0340210Z out = self.conv2(out) 2025-12-04T09:01:54.0340521Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:01:54.0340840Z x = F.conv2d( 2025-12-04T09:01:54.0340926Z 2025-12-04T09:01:54.0341024Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0341455Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0341908Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0342270Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0342603Z x = stage(x) 2025-12-04T09:01:54.0342923Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:01:54.0343267Z out = F.relu_(out) 2025-12-04T09:01:54.0343363Z 2025-12-04T09:01:54.0343463Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0343900Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0344333Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0344689Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0345020Z x = stage(x) 2025-12-04T09:01:54.0345329Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:01:54.0345672Z out = self.conv3(out) 2025-12-04T09:01:54.0345984Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:01:54.0346296Z x = F.conv2d( 2025-12-04T09:01:54.0346389Z 2025-12-04T09:01:54.0346485Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0346922Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0347332Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0347688Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0348026Z x = stage(x) 2025-12-04T09:01:54.0348336Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward 2025-12-04T09:01:54.0348679Z shortcut = self.shortcut(x) 2025-12-04T09:01:54.0349000Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:01:54.0349365Z x = F.conv2d( 2025-12-04T09:01:54.0349453Z 2025-12-04T09:01:54.0349551Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0350000Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0350417Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0350771Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0351099Z x = stage(x) 2025-12-04T09:01:54.0351413Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:01:54.0351754Z out = self.conv1(x) 2025-12-04T09:01:54.0352058Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:01:54.0352368Z x = F.conv2d( 2025-12-04T09:01:54.0352459Z 2025-12-04T09:01:54.0352591Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0353030Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0353435Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0353795Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0354135Z x = stage(x) 2025-12-04T09:01:54.0354450Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:01:54.0354785Z out = F.relu_(out) 2025-12-04T09:01:54.0354904Z 2025-12-04T09:01:54.0355000Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0355445Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0355867Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0356217Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0356558Z x = stage(x) 2025-12-04T09:01:54.0356872Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:01:54.0357227Z out = self.conv2(out) 2025-12-04T09:01:54.0357535Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:01:54.0357852Z x = F.conv2d( 2025-12-04T09:01:54.0357936Z 2025-12-04T09:01:54.0358039Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0358463Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0358875Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0359228Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0359556Z x = stage(x) 2025-12-04T09:01:54.0359869Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:01:54.0360211Z out = F.relu_(out) 2025-12-04T09:01:54.0360303Z 2025-12-04T09:01:54.0360405Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0360840Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0361262Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0361624Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0362058Z x = stage(x) 2025-12-04T09:01:54.0362401Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:01:54.0362777Z out = self.conv3(out) 2025-12-04T09:01:54.0363118Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:01:54.0363468Z x = F.conv2d( 2025-12-04T09:01:54.0363567Z 2025-12-04T09:01:54.0363666Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0364119Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0364554Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0364922Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0365278Z x = stage(x) 2025-12-04T09:01:54.0365644Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:01:54.0366005Z out = F.relu_(out) 2025-12-04T09:01:54.0366112Z 2025-12-04T09:01:54.0366214Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0366670Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0367117Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0367473Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0367819Z x = stage(x) 2025-12-04T09:01:54.0368139Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:01:54.0368510Z out = self.conv1(x) 2025-12-04T09:01:54.0368822Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:01:54.0369145Z x = F.conv2d( 2025-12-04T09:01:54.0369231Z 2025-12-04T09:01:54.0369338Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0369772Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0370218Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0370584Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0370933Z x = stage(x) 2025-12-04T09:01:54.0371244Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:01:54.0371599Z out = F.relu_(out) 2025-12-04T09:01:54.0371695Z 2025-12-04T09:01:54.0371803Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0372243Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0372674Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0373037Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0373386Z x = stage(x) 2025-12-04T09:01:54.0373697Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:01:54.0374053Z out = self.conv2(out) 2025-12-04T09:01:54.0374372Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:01:54.0374701Z x = F.conv2d( 2025-12-04T09:01:54.0374786Z 2025-12-04T09:01:54.0374883Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0375323Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0375747Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0376100Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0376443Z x = stage(x) 2025-12-04T09:01:54.0376760Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:01:54.0377111Z out = F.relu_(out) 2025-12-04T09:01:54.0377206Z 2025-12-04T09:01:54.0377312Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0377745Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0378162Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0378546Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0378880Z x = stage(x) 2025-12-04T09:01:54.0379195Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:01:54.0379543Z out = self.conv3(out) 2025-12-04T09:01:54.0379849Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:01:54.0380173Z x = F.conv2d( 2025-12-04T09:01:54.0380258Z 2025-12-04T09:01:54.0380363Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0380799Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0381223Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0381579Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0381919Z x = stage(x) 2025-12-04T09:01:54.0382223Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:01:54.0382568Z out = F.relu_(out) 2025-12-04T09:01:54.0382667Z 2025-12-04T09:01:54.0382763Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0383194Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0383619Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0383973Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0384313Z x = stage(x) 2025-12-04T09:01:54.0384624Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:01:54.0384956Z out = self.conv1(x) 2025-12-04T09:01:54.0385262Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:01:54.0385577Z x = F.conv2d( 2025-12-04T09:01:54.0385662Z 2025-12-04T09:01:54.0385760Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0386194Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0386611Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0386963Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0387292Z x = stage(x) 2025-12-04T09:01:54.0387601Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:01:54.0387938Z out = F.relu_(out) 2025-12-04T09:01:54.0388030Z 2025-12-04T09:01:54.0388134Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0388557Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0388971Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0389322Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0389651Z x = stage(x) 2025-12-04T09:01:54.0389959Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:01:54.0390299Z out = self.conv2(out) 2025-12-04T09:01:54.0390605Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:01:54.0390921Z x = F.conv2d( 2025-12-04T09:01:54.0391012Z 2025-12-04T09:01:54.0391108Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0391590Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0392009Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0392356Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0392700Z x = stage(x) 2025-12-04T09:01:54.0393013Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:01:54.0393348Z out = F.relu_(out) 2025-12-04T09:01:54.0393449Z 2025-12-04T09:01:54.0393544Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0393995Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0394412Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0394764Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0395106Z x = stage(x) 2025-12-04T09:01:54.0395423Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:01:54.0395759Z out = self.conv3(out) 2025-12-04T09:01:54.0396086Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:01:54.0396400Z x = F.conv2d( 2025-12-04T09:01:54.0396485Z 2025-12-04T09:01:54.0396586Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0397010Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0397421Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0397778Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0398113Z x = stage(x) 2025-12-04T09:01:54.0398416Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:01:54.0398754Z out = F.relu_(out) 2025-12-04T09:01:54.0398846Z 2025-12-04T09:01:54.0398949Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0399372Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0399784Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0400138Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0400474Z x = stage(x) 2025-12-04T09:01:54.0400773Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:01:54.0401116Z out = self.conv1(x) 2025-12-04T09:01:54.0401416Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:01:54.0401723Z x = F.conv2d( 2025-12-04T09:01:54.0401813Z 2025-12-04T09:01:54.0401982Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0402461Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0402909Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0403303Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0403644Z x = stage(x) 2025-12-04T09:01:54.0403961Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:01:54.0404314Z out = F.relu_(out) 2025-12-04T09:01:54.0404452Z 2025-12-04T09:01:54.0404555Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0404999Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0405425Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0405786Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0406136Z x = stage(x) 2025-12-04T09:01:54.0406458Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:01:54.0406835Z out = self.conv2(out) 2025-12-04T09:01:54.0407147Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:01:54.0407477Z x = F.conv2d( 2025-12-04T09:01:54.0407564Z 2025-12-04T09:01:54.0407675Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0408125Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0408546Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0408911Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0409276Z x = stage(x) 2025-12-04T09:01:54.0409589Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:01:54.0409939Z out = F.relu_(out) 2025-12-04T09:01:54.0410043Z 2025-12-04T09:01:54.0410140Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0410584Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0411007Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0411372Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0411718Z x = stage(x) 2025-12-04T09:01:54.0412028Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:01:54.0412387Z out = self.conv3(out) 2025-12-04T09:01:54.0412700Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:01:54.0413023Z x = F.conv2d( 2025-12-04T09:01:54.0413109Z 2025-12-04T09:01:54.0413276Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0413721Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0414138Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0414503Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0414847Z x = stage(x) 2025-12-04T09:01:54.0415165Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:01:54.0415507Z out = F.relu_(out) 2025-12-04T09:01:54.0415763Z 2025-12-04T09:01:54.0415869Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0416320Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0416740Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0417110Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0417463Z x = stage(x) 2025-12-04T09:01:54.0417841Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:01:54.0418181Z out = self.conv1(x) 2025-12-04T09:01:54.0418481Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:01:54.0418799Z x = F.conv2d( 2025-12-04T09:01:54.0418883Z 2025-12-04T09:01:54.0418983Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0419416Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0419830Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0420220Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0420562Z x = stage(x) 2025-12-04T09:01:54.0420887Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:01:54.0421241Z out = F.relu_(out) 2025-12-04T09:01:54.0421335Z 2025-12-04T09:01:54.0421440Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0421875Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0422308Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0422661Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0422991Z x = stage(x) 2025-12-04T09:01:54.0423301Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:01:54.0423645Z out = self.conv2(out) 2025-12-04T09:01:54.0423950Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:01:54.0424263Z x = F.conv2d( 2025-12-04T09:01:54.0424356Z 2025-12-04T09:01:54.0424452Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0424886Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0425300Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0425648Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0425983Z x = stage(x) 2025-12-04T09:01:54.0426294Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:01:54.0426629Z out = F.relu_(out) 2025-12-04T09:01:54.0426729Z 2025-12-04T09:01:54.0426825Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0427260Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0427672Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0428021Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0428357Z x = stage(x) 2025-12-04T09:01:54.0428667Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:01:54.0429003Z out = self.conv3(out) 2025-12-04T09:01:54.0429311Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:01:54.0429629Z x = F.conv2d( 2025-12-04T09:01:54.0429714Z 2025-12-04T09:01:54.0429817Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0430241Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0430686Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0431046Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0431388Z x = stage(x) 2025-12-04T09:01:54.0431694Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:01:54.0432037Z out = F.relu_(out) 2025-12-04T09:01:54.0432130Z 2025-12-04T09:01:54.0432237Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0432666Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0433097Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0433448Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0433786Z x = stage(x) 2025-12-04T09:01:54.0434089Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:01:54.0434426Z out = self.conv1(x) 2025-12-04T09:01:54.0434726Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:01:54.0435056Z x = F.conv2d( 2025-12-04T09:01:54.0435145Z 2025-12-04T09:01:54.0435240Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0435678Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0436096Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0436449Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0436789Z x = stage(x) 2025-12-04T09:01:54.0437103Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:01:54.0437443Z out = F.relu_(out) 2025-12-04T09:01:54.0437535Z 2025-12-04T09:01:54.0437630Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0438065Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0438484Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0438837Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0439177Z x = stage(x) 2025-12-04T09:01:54.0439489Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:01:54.0439833Z out = self.conv2(out) 2025-12-04T09:01:54.0440140Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:01:54.0440463Z x = F.conv2d( 2025-12-04T09:01:54.0440549Z 2025-12-04T09:01:54.0440654Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0441099Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0441524Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0441971Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0442330Z x = stage(x) 2025-12-04T09:01:54.0442643Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:01:54.0443001Z out = F.relu_(out) 2025-12-04T09:01:54.0443106Z 2025-12-04T09:01:54.0443207Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0443712Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0444131Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0444498Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0444848Z x = stage(x) 2025-12-04T09:01:54.0445157Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:01:54.0445510Z out = self.conv3(out) 2025-12-04T09:01:54.0445824Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:01:54.0446180Z x = F.conv2d( 2025-12-04T09:01:54.0446276Z 2025-12-04T09:01:54.0446373Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0446822Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0447244Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0447607Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0447953Z x = stage(x) 2025-12-04T09:01:54.0448294Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward 2025-12-04T09:01:54.0448642Z shortcut = self.shortcut(x) 2025-12-04T09:01:54.0448970Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:01:54.0449297Z x = F.conv2d( 2025-12-04T09:01:54.0449385Z 2025-12-04T09:01:54.0449483Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0449929Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0450353Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0450713Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0451049Z x = stage(x) 2025-12-04T09:01:54.0451366Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:01:54.0451718Z out = self.conv1(x) 2025-12-04T09:01:54.0452027Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:01:54.0452342Z x = F.conv2d( 2025-12-04T09:01:54.0452434Z 2025-12-04T09:01:54.0452530Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0452970Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0453392Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0453753Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0454123Z x = stage(x) 2025-12-04T09:01:54.0454428Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:01:54.0454760Z out = F.relu_(out) 2025-12-04T09:01:54.0454857Z 2025-12-04T09:01:54.0454951Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0455379Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0455788Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0456133Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0456463Z x = stage(x) 2025-12-04T09:01:54.0456804Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:01:54.0457142Z out = self.conv2(out) 2025-12-04T09:01:54.0457453Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:01:54.0457773Z x = F.conv2d( 2025-12-04T09:01:54.0457858Z 2025-12-04T09:01:54.0457960Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0458391Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0458808Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0459182Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0459512Z x = stage(x) 2025-12-04T09:01:54.0459830Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:01:54.0460172Z out = F.relu_(out) 2025-12-04T09:01:54.0460264Z 2025-12-04T09:01:54.0460367Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0460791Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0461257Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0461612Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0461948Z x = stage(x) 2025-12-04T09:01:54.0462253Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:01:54.0462593Z out = self.conv3(out) 2025-12-04T09:01:54.0462904Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:01:54.0463213Z x = F.conv2d( 2025-12-04T09:01:54.0463305Z 2025-12-04T09:01:54.0463399Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0463834Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0464265Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0464630Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0464969Z x = stage(x) 2025-12-04T09:01:54.0465287Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:01:54.0465633Z out = F.relu_(out) 2025-12-04T09:01:54.0465737Z 2025-12-04T09:01:54.0465835Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0466284Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0466711Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0467072Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0467409Z x = stage(x) 2025-12-04T09:01:54.0467718Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:01:54.0468058Z out = self.conv1(x) 2025-12-04T09:01:54.0468361Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:01:54.0468687Z x = F.conv2d( 2025-12-04T09:01:54.0468773Z 2025-12-04T09:01:54.0468877Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0469346Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0469776Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0470150Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0470488Z x = stage(x) 2025-12-04T09:01:54.0470796Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:01:54.0471140Z out = F.relu_(out) 2025-12-04T09:01:54.0471232Z 2025-12-04T09:01:54.0471335Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0471769Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0472196Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0472553Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0472893Z x = stage(x) 2025-12-04T09:01:54.0473193Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:01:54.0473537Z out = self.conv2(out) 2025-12-04T09:01:54.0473847Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:01:54.0474182Z x = F.conv2d( 2025-12-04T09:01:54.0474265Z 2025-12-04T09:01:54.0474362Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0474794Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0475213Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0475568Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0475918Z x = stage(x) 2025-12-04T09:01:54.0476233Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:01:54.0476584Z out = F.relu_(out) 2025-12-04T09:01:54.0476679Z 2025-12-04T09:01:54.0476775Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0477217Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0477640Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0478003Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0478351Z x = stage(x) 2025-12-04T09:01:54.0478677Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:01:54.0479034Z out = self.conv3(out) 2025-12-04T09:01:54.0479352Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:01:54.0479685Z x = F.conv2d( 2025-12-04T09:01:54.0479780Z 2025-12-04T09:01:54.0479879Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:01:54.0480333Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:01:54.0480761Z features = self.backbone(images.tensor) 2025-12-04T09:01:54.0481130Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:01:54.0481485Z x = stage(x) 2025-12-04T09:01:54.0481800Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:01:54.0482232Z out = F.relu_(out) 2025-12-04T09:01:54.0482341Z 2025-12-04T09:02:05.3601546Z cudagraph partition due to non gpu ops 2025-12-04T09:02:05.3601854Z cudagraph partition due to non gpu ops 2025-12-04T09:02:05.3602211Z cudagraph partition due to non gpu ops 2025-12-04T09:02:05.3602418Z cudagraph partition due to non gpu ops 2025-12-04T09:02:05.3602653Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:02:05.3603145Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 97, in convert_boxes_to_pooler_format 2025-12-04T09:02:05.3603618Z sizes = shapes_to_tensor([x.__len__() for x in box_lists]) 2025-12-04T09:02:05.3604027Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 39, in shapes_to_tensor 2025-12-04T09:02:05.3604469Z return torch.as_tensor(x, device=device) 2025-12-04T09:02:05.3604617Z 2025-12-04T09:02:05.3604723Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:02:05.3605154Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 95, in convert_boxes_to_pooler_format 2025-12-04T09:02:05.3605572Z boxes = torch.cat([x.tensor for x in box_lists], dim=0) 2025-12-04T09:02:05.3605736Z 2025-12-04T09:02:06.0049088Z cudagraph partition due to non gpu ops 2025-12-04T09:02:06.0052822Z cudagraph partition due to non gpu ops 2025-12-04T09:02:06.0056911Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:02:06.0058103Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 69, in torch_dynamo_resume_in__convert_boxes_to_pooler_format_at_66 2025-12-04T09:02:06.0058575Z return cat([indices[:, None], boxes], dim=1) 2025-12-04T09:02:06.0058927Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 72, in cat 2025-12-04T09:02:06.0059275Z return torch.cat(tensors, dim) 2025-12-04T09:02:06.0059400Z 2025-12-04T09:02:06.5382602Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:02:06.5383216Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 246, in torch_dynamo_resume_in_forward_at_243 2025-12-04T09:02:06.5383662Z return self.level_poolers[0](x[0], pooler_fmt_boxes) 2025-12-04T09:02:06.5384033Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward 2025-12-04T09:02:06.5384372Z return roi_align( 2025-12-04T09:02:06.5384692Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align 2025-12-04T09:02:06.5385049Z return torch.ops.torchvision.roi_align( 2025-12-04T09:02:06.5385190Z 2025-12-04T09:02:06.5385293Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:02:06.5385740Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 246, in torch_dynamo_resume_in_forward_at_243 2025-12-04T09:02:06.5386165Z return self.level_poolers[0](x[0], pooler_fmt_boxes) 2025-12-04T09:02:06.5386527Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward 2025-12-04T09:02:06.5386844Z return roi_align( 2025-12-04T09:02:06.5387150Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align 2025-12-04T09:02:06.5387496Z return torch.ops.torchvision.roi_align( 2025-12-04T09:02:06.5387631Z 2025-12-04T09:02:10.0693799Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:02:10.0697842Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 799, in torch_dynamo_resume_in__forward_box_at_798 2025-12-04T09:02:10.0702176Z box_features = self.box_head(box_features) 2025-12-04T09:02:10.0704228Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/box_head.py", line 96, in forward 2025-12-04T09:02:10.0704744Z x = layer(x) 2025-12-04T09:02:10.0704861Z 2025-12-04T09:02:10.0705391Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:02:10.0705994Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 799, in torch_dynamo_resume_in__forward_box_at_798 2025-12-04T09:02:10.0706487Z box_features = self.box_head(box_features) 2025-12-04T09:02:10.0706873Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/box_head.py", line 96, in forward 2025-12-04T09:02:10.0707241Z x = layer(x) 2025-12-04T09:02:10.0707332Z 2025-12-04T09:02:10.0707443Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:02:10.0707894Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 799, in torch_dynamo_resume_in__forward_box_at_798 2025-12-04T09:02:10.0708417Z box_features = self.box_head(box_features) 2025-12-04T09:02:10.0708788Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/box_head.py", line 96, in forward 2025-12-04T09:02:10.0709127Z x = layer(x) 2025-12-04T09:02:10.0709221Z 2025-12-04T09:02:10.0709317Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:02:10.0709759Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 799, in torch_dynamo_resume_in__forward_box_at_798 2025-12-04T09:02:10.0710234Z box_features = self.box_head(box_features) 2025-12-04T09:02:10.0710622Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/box_head.py", line 96, in forward 2025-12-04T09:02:10.0710992Z x = layer(x) 2025-12-04T09:02:10.0711078Z 2025-12-04T09:02:10.0711184Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:02:10.0711627Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 800, in torch_dynamo_resume_in__forward_box_at_798 2025-12-04T09:02:10.0712102Z predictions = self.box_predictor(box_features) 2025-12-04T09:02:10.0712487Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 303, in forward 2025-12-04T09:02:10.0712849Z scores = self.cls_score(x) 2025-12-04T09:02:10.0712960Z 2025-12-04T09:02:10.0713058Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:02:10.0713503Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 800, in torch_dynamo_resume_in__forward_box_at_798 2025-12-04T09:02:10.0713939Z predictions = self.box_predictor(box_features) 2025-12-04T09:02:10.0714321Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 304, in forward 2025-12-04T09:02:10.0714686Z proposal_deltas = self.bbox_pred(x) 2025-12-04T09:02:10.0714820Z 2025-12-04T09:02:12.8759812Z cudagraph partition due to non gpu ops 2025-12-04T09:02:12.8760147Z cudagraph partition due to non gpu ops 2025-12-04T09:02:12.8760392Z cudagraph partition due to non gpu ops 2025-12-04T09:02:12.8760593Z cudagraph partition due to non gpu ops 2025-12-04T09:02:12.8760825Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:02:12.8761298Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 476, in inference 2025-12-04T09:02:12.8761748Z boxes = self.predict_boxes(predictions, proposals) 2025-12-04T09:02:12.8762311Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 542, in predict_boxes 2025-12-04T09:02:12.8762778Z proposal_boxes = cat([p.proposal_boxes.tensor for p in proposals], dim=0) 2025-12-04T09:02:12.8763215Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 72, in cat 2025-12-04T09:02:12.8763561Z return torch.cat(tensors, dim) 2025-12-04T09:02:12.8763696Z 2025-12-04T09:02:12.8763805Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:02:12.8764577Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 476, in inference 2025-12-04T09:02:12.8764994Z boxes = self.predict_boxes(predictions, proposals) 2025-12-04T09:02:12.8765408Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 543, in predict_boxes 2025-12-04T09:02:12.8765833Z predict_boxes = self.box2box_transform.apply_deltas( 2025-12-04T09:02:12.8766242Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/box_regression.py", line 115, in apply_deltas 2025-12-04T09:02:12.8766641Z pred_boxes = torch.stack((x1, y1, x2, y2), dim=-1) 2025-12-04T09:02:12.8766856Z 2025-12-04T09:02:15.0730336Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:02:15.0731566Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/boxes.py", line 99, in _batched_nms_coordinate_trick 2025-12-04T09:02:15.0732104Z max_coordinate = boxes.max() 2025-12-04T09:02:15.0732249Z 2025-12-04T09:02:15.0732380Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:02:15.0732985Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/boxes.py", line 101, in _batched_nms_coordinate_trick 2025-12-04T09:02:15.0735652Z boxes_for_nms = boxes + offsets[:, None] 2025-12-04T09:02:15.0740725Z 2025-12-04T09:02:15.7392712Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:02:15.7395340Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 165, in torch_dynamo_resume_in_fast_rcnn_inference_single_image_at_162 2025-12-04T09:02:15.7396143Z boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep] 2025-12-04T09:02:15.7396464Z 2025-12-04T09:02:15.7396666Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:02:15.7397326Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 165, in torch_dynamo_resume_in_fast_rcnn_inference_single_image_at_162 2025-12-04T09:02:15.7397895Z boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep] 2025-12-04T09:02:15.7398092Z 2025-12-04T09:02:15.7398196Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:02:15.7398708Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 165, in torch_dynamo_resume_in_fast_rcnn_inference_single_image_at_162 2025-12-04T09:02:15.7399230Z boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep] 2025-12-04T09:02:15.7399421Z 2025-12-04T09:02:20.6230043Z cudagraph partition due to non gpu ops 2025-12-04T09:02:20.6234216Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:02:20.6236835Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess 2025-12-04T09:02:20.6237491Z output_boxes.clip(results.image_size) 2025-12-04T09:02:20.6238797Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip 2025-12-04T09:02:20.6239498Z assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!" 2025-12-04T09:02:20.6239729Z 2025-12-04T09:02:20.6240073Z cudagraph partition due to non gpu ops 2025-12-04T09:02:20.6240292Z cudagraph partition due to non gpu ops 2025-12-04T09:02:20.6240532Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:02:20.6240973Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess 2025-12-04T09:02:20.6242520Z output_boxes.clip(results.image_size) 2025-12-04T09:02:20.6243424Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip 2025-12-04T09:02:20.6243841Z self.tensor = torch.stack((x1, y1, x2, y2), dim=-1) 2025-12-04T09:02:20.6244428Z 2025-12-04T09:02:20.6244549Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:02:20.6245014Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 58, in detector_postprocess 2025-12-04T09:02:20.6245448Z results = results[output_boxes.nonempty()] 2025-12-04T09:02:20.6245833Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 212, in nonempty 2025-12-04T09:02:20.6246207Z keep = (widths > threshold) & (heights > threshold) 2025-12-04T09:02:20.6246368Z 2025-12-04T09:02:34.8110143Z Compilation time (from dynamo_timed): 38.87458409 2025-12-04T09:02:34.8110698Z pass 2025-12-04T09:02:34.8110975Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:02:34.8111722Z TIMING: gc:0.03853 entire_frame_compile:38.87458 _recursive_pre_grad_passes:0.02563 _recursive_joint_graph_passes:0.25283 async_compile.wait:4.10733 inductor_compile:16.34986 backend_compile:23.8391 _recursive_post_grad_passes:0.1165 code_gen:7.56638 total_wall_time:38.87458 2025-12-04T09:02:34.8112797Z STATS: call_* op count: 610 | FakeTensorMode.__torch_dispatch__:15032 | FakeTensor.__torch_dispatch__:6456 | ProxyTorchDispatchMode.__torch_dispatch__:4146 | attempt fast:67 | slow no contiguity match:32 | fast is_contiguous:35 2025-12-04T09:02:34.8113467Z Dynamo produced 52 graphs covering 610 ops with 42 graph breaks (6 unique) 2025-12-04T09:02:37.8769824Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-12-04T09:02:37.8770621Z import pynvml # type: ignore[import] 2025-12-04T09:02:39.8435766Z 2025-12-04T09:02:47.9501864Z loading model: 0it [00:00, ?it/s]W1204 09:02:47.948000 7375 site-packages/torch/fx/_symbolic_trace.py:53] is_fx_tracing will return true for both fx.symbolic_trace and torch.export. Please use is_fx_tracing_symbolic_tracing() for specifically fx.symbolic_trace or torch.compiler.is_compiling() for specifically torch.export/compile. 2025-12-04T09:02:49.1141403Z 2025-12-04T09:02:49.1142157Z loading model: 0it [00:09, ?it/s] 2025-12-04T09:02:49.1157315Z cpu eval detectron2_fasterrcnn_r_50_fpn 2025-12-04T09:03:03.4986557Z WARNING:common:fp64 golden ref were not generated for detectron2_fasterrcnn_r_50_fpn. Setting accuracy check to cosine 2025-12-04T09:03:03.5196111Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:03:16.2885373Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:03:29.1761647Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:03:47.5156573Z cudagraph partition due to non gpu ops 2025-12-04T09:03:47.5156912Z cudagraph partition due to non gpu ops 2025-12-04T09:03:47.5157140Z cudagraph partition due to non gpu ops 2025-12-04T09:03:47.5157466Z cudagraph partition due to non gpu ops 2025-12-04T09:03:47.5157660Z cudagraph partition due to non gpu ops 2025-12-04T09:03:47.5157862Z cudagraph partition due to non gpu ops 2025-12-04T09:03:47.5158074Z cudagraph partition due to non gpu ops 2025-12-04T09:03:47.5158265Z cudagraph partition due to non gpu ops 2025-12-04T09:03:47.5158465Z cudagraph partition due to non gpu ops 2025-12-04T09:03:47.5158660Z cudagraph partition due to non gpu ops 2025-12-04T09:03:47.5158848Z cudagraph partition due to non gpu ops 2025-12-04T09:03:47.5159042Z cudagraph partition due to non gpu ops 2025-12-04T09:03:47.5159251Z cudagraph partition due to non gpu ops 2025-12-04T09:03:47.5159440Z cudagraph partition due to non gpu ops 2025-12-04T09:03:47.5159663Z cudagraph partition due to non gpu ops 2025-12-04T09:03:47.5159859Z cudagraph partition due to non gpu ops 2025-12-04T09:03:47.5160462Z cudagraph partition due to non gpu ops 2025-12-04T09:03:47.5160657Z cudagraph partition due to non gpu ops 2025-12-04T09:03:47.5160860Z cudagraph partition due to non gpu ops 2025-12-04T09:03:47.5161056Z cudagraph partition due to non gpu ops 2025-12-04T09:03:47.5161245Z cudagraph partition due to non gpu ops 2025-12-04T09:03:47.5161488Z cudagraph partition due to non gpu ops 2025-12-04T09:03:47.5161715Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5162362Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5162825Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5163279Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5163662Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5164050Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 445, in forward 2025-12-04T09:03:47.5164412Z x = self.stem(x) 2025-12-04T09:03:47.5164738Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 356, in forward 2025-12-04T09:03:47.5165084Z x = self.conv1(x) 2025-12-04T09:03:47.5165460Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:47.5165788Z x = F.conv2d( 2025-12-04T09:03:47.5165891Z 2025-12-04T09:03:47.5165996Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5166452Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5166896Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5167269Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5167627Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5167991Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 445, in forward 2025-12-04T09:03:47.5168337Z x = self.stem(x) 2025-12-04T09:03:47.5168657Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 357, in forward 2025-12-04T09:03:47.5169007Z x = F.relu_(x) 2025-12-04T09:03:47.5169097Z 2025-12-04T09:03:47.5169206Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5169645Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5170073Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5170430Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5170788Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5171138Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 445, in forward 2025-12-04T09:03:47.5171480Z x = self.stem(x) 2025-12-04T09:03:47.5171800Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 358, in forward 2025-12-04T09:03:47.5172196Z x = F.max_pool2d(x, kernel_size=3, stride=2, padding=1) 2025-12-04T09:03:47.5172355Z 2025-12-04T09:03:47.5172453Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5172893Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5173379Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5173784Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5174143Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5174554Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5174906Z x = stage(x) 2025-12-04T09:03:47.5175229Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:03:47.5175572Z out = self.conv1(x) 2025-12-04T09:03:47.5176333Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:47.5177429Z x = F.conv2d( 2025-12-04T09:03:47.5177577Z 2025-12-04T09:03:47.5177879Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5178875Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5179741Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5181075Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5181999Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5183458Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5184092Z x = stage(x) 2025-12-04T09:03:47.5185948Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:03:47.5186387Z out = F.relu_(out) 2025-12-04T09:03:47.5186499Z 2025-12-04T09:03:47.5186607Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5188638Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5189300Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5189855Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5190406Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5193495Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5194114Z x = stage(x) 2025-12-04T09:03:47.5194491Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:03:47.5194852Z out = self.conv2(out) 2025-12-04T09:03:47.5196715Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:47.5197317Z x = F.conv2d( 2025-12-04T09:03:47.5197526Z 2025-12-04T09:03:47.5197643Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5198129Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5199973Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5201669Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5204368Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5204843Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5205229Z x = stage(x) 2025-12-04T09:03:47.5205575Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:03:47.5205957Z out = F.relu_(out) 2025-12-04T09:03:47.5206066Z 2025-12-04T09:03:47.5206178Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5206825Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5207283Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5207671Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5208047Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5208436Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5208802Z x = stage(x) 2025-12-04T09:03:47.5209142Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:03:47.5209535Z out = self.conv3(out) 2025-12-04T09:03:47.5209869Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:47.5210210Z x = F.conv2d( 2025-12-04T09:03:47.5210303Z 2025-12-04T09:03:47.5210413Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5210886Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5211331Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5211708Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5212093Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5212446Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5212785Z x = stage(x) 2025-12-04T09:03:47.5213093Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward 2025-12-04T09:03:47.5213781Z shortcut = self.shortcut(x) 2025-12-04T09:03:47.5214138Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:47.5214516Z x = F.conv2d( 2025-12-04T09:03:47.5214611Z 2025-12-04T09:03:47.5214719Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5215185Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5216971Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5217458Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5217857Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5218233Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5218585Z x = stage(x) 2025-12-04T09:03:47.5218895Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:03:47.5219244Z out = self.conv1(x) 2025-12-04T09:03:47.5219553Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:47.5219866Z x = F.conv2d( 2025-12-04T09:03:47.5219953Z 2025-12-04T09:03:47.5220056Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5220494Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5220914Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5221260Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5221614Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5221970Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5222455Z x = stage(x) 2025-12-04T09:03:47.5222771Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:03:47.5223120Z out = F.relu_(out) 2025-12-04T09:03:47.5223219Z 2025-12-04T09:03:47.5223330Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5223768Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5224186Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5224537Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5224948Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5225297Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5225640Z x = stage(x) 2025-12-04T09:03:47.5225955Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:03:47.5226298Z out = self.conv2(out) 2025-12-04T09:03:47.5226608Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:47.5226929Z x = F.conv2d( 2025-12-04T09:03:47.5227047Z 2025-12-04T09:03:47.5227154Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5227584Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5228000Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5228353Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5228704Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5229054Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5229395Z x = stage(x) 2025-12-04T09:03:47.5229706Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:03:47.5230048Z out = F.relu_(out) 2025-12-04T09:03:47.5230148Z 2025-12-04T09:03:47.5230245Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5230683Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5231101Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5231448Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5231797Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5232156Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5232494Z x = stage(x) 2025-12-04T09:03:47.5232800Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:03:47.5233148Z out = self.conv3(out) 2025-12-04T09:03:47.5233460Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:47.5233772Z x = F.conv2d( 2025-12-04T09:03:47.5233862Z 2025-12-04T09:03:47.5233960Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5234394Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5234806Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5235146Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5235536Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5235891Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5236230Z x = stage(x) 2025-12-04T09:03:47.5236537Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:03:47.5236882Z out = F.relu_(out) 2025-12-04T09:03:47.5236979Z 2025-12-04T09:03:47.5237083Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5237512Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5237946Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5238298Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5238652Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5238998Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5239783Z x = stage(x) 2025-12-04T09:03:47.5240126Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:03:47.5240561Z out = self.conv1(x) 2025-12-04T09:03:47.5240877Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:47.5241211Z x = F.conv2d( 2025-12-04T09:03:47.5241302Z 2025-12-04T09:03:47.5241574Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5242117Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5242572Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5243000Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5243364Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5243726Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5244082Z x = stage(x) 2025-12-04T09:03:47.5244405Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:03:47.5244757Z out = F.relu_(out) 2025-12-04T09:03:47.5244858Z 2025-12-04T09:03:47.5244960Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5245420Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5245857Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5246215Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5246581Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5246950Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5247298Z x = stage(x) 2025-12-04T09:03:47.5247615Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:03:47.5247974Z out = self.conv2(out) 2025-12-04T09:03:47.5248294Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:47.5248620Z x = F.conv2d( 2025-12-04T09:03:47.5248715Z 2025-12-04T09:03:47.5248816Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5249304Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5249730Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5250085Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5250444Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5250814Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5251159Z x = stage(x) 2025-12-04T09:03:47.5251473Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:03:47.5251820Z out = F.relu_(out) 2025-12-04T09:03:47.5251935Z 2025-12-04T09:03:47.5252040Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5252476Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5252903Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5253265Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5253622Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5253976Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5254345Z x = stage(x) 2025-12-04T09:03:47.5254666Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:03:47.5255026Z out = self.conv3(out) 2025-12-04T09:03:47.5255331Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:47.5255654Z x = F.conv2d( 2025-12-04T09:03:47.5255739Z 2025-12-04T09:03:47.5255842Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5256274Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5256693Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5257049Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5257406Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5257757Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5258100Z x = stage(x) 2025-12-04T09:03:47.5258417Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:03:47.5258757Z out = F.relu_(out) 2025-12-04T09:03:47.5258857Z 2025-12-04T09:03:47.5258953Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5259392Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5259807Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5260150Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5260522Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5260880Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5261220Z x = stage(x) 2025-12-04T09:03:47.5261528Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:03:47.5261871Z out = self.conv1(x) 2025-12-04T09:03:47.5262177Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:47.5262490Z x = F.conv2d( 2025-12-04T09:03:47.5262632Z 2025-12-04T09:03:47.5262731Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5263169Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5263582Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5263927Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5264280Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5264638Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5264989Z x = stage(x) 2025-12-04T09:03:47.5265300Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:03:47.5265638Z out = F.relu_(out) 2025-12-04T09:03:47.5265732Z 2025-12-04T09:03:47.5265838Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5266265Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5266677Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5267046Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5267393Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5267737Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5268073Z x = stage(x) 2025-12-04T09:03:47.5268378Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:03:47.5268713Z out = self.conv2(out) 2025-12-04T09:03:47.5269024Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:47.5269344Z x = F.conv2d( 2025-12-04T09:03:47.5269427Z 2025-12-04T09:03:47.5269529Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5269954Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5270372Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5270720Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5271067Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5271414Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5271749Z x = stage(x) 2025-12-04T09:03:47.5272058Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:03:47.5272392Z out = F.relu_(out) 2025-12-04T09:03:47.5272494Z 2025-12-04T09:03:47.5272590Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5273024Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5273462Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5273809Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5274161Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5274519Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5274850Z x = stage(x) 2025-12-04T09:03:47.5275214Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:03:47.5275563Z out = self.conv3(out) 2025-12-04T09:03:47.5275874Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:47.5276188Z x = F.conv2d( 2025-12-04T09:03:47.5276279Z 2025-12-04T09:03:47.5276376Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5276812Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5277227Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5277570Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5277944Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5278303Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5278635Z x = stage(x) 2025-12-04T09:03:47.5278945Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward 2025-12-04T09:03:47.5279296Z shortcut = self.shortcut(x) 2025-12-04T09:03:47.5279620Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:47.5279951Z x = F.conv2d( 2025-12-04T09:03:47.5280043Z 2025-12-04T09:03:47.5280141Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5280573Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5280980Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5281329Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5281695Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5282599Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5282967Z x = stage(x) 2025-12-04T09:03:47.5283337Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:03:47.5283690Z out = self.conv1(x) 2025-12-04T09:03:47.5284001Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:47.5284331Z x = F.conv2d( 2025-12-04T09:03:47.5284430Z 2025-12-04T09:03:47.5284534Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5284998Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5285433Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5285805Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5286182Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5286557Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5286905Z x = stage(x) 2025-12-04T09:03:47.5287234Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:03:47.5287594Z out = F.relu_(out) 2025-12-04T09:03:47.5287693Z 2025-12-04T09:03:47.5287793Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5288253Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5288693Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5289113Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5289479Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5289854Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5290214Z x = stage(x) 2025-12-04T09:03:47.5290544Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:03:47.5290908Z out = self.conv2(out) 2025-12-04T09:03:47.5291234Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:47.5291573Z x = F.conv2d( 2025-12-04T09:03:47.5291704Z 2025-12-04T09:03:47.5291817Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5292249Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5292666Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5293014Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5293355Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5293708Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5294070Z x = stage(x) 2025-12-04T09:03:47.5294374Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:03:47.5294722Z out = F.relu_(out) 2025-12-04T09:03:47.5294829Z 2025-12-04T09:03:47.5294927Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5295366Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5295779Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5296133Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5296480Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5296836Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5297173Z x = stage(x) 2025-12-04T09:03:47.5297486Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:03:47.5297832Z out = self.conv3(out) 2025-12-04T09:03:47.5298136Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:47.5298459Z x = F.conv2d( 2025-12-04T09:03:47.5298548Z 2025-12-04T09:03:47.5298643Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5299080Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5299491Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5299841Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5300193Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5300548Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5300879Z x = stage(x) 2025-12-04T09:03:47.5301187Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:03:47.5301528Z out = F.relu_(out) 2025-12-04T09:03:47.5301620Z 2025-12-04T09:03:47.5301715Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5302183Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5302603Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5302954Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5303298Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5303651Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5303988Z x = stage(x) 2025-12-04T09:03:47.5304293Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:03:47.5304657Z out = self.conv1(x) 2025-12-04T09:03:47.5304963Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:47.5305283Z x = F.conv2d( 2025-12-04T09:03:47.5305367Z 2025-12-04T09:03:47.5305466Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5305902Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5306320Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5306691Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5307037Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5307390Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5307730Z x = stage(x) 2025-12-04T09:03:47.5308034Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:03:47.5308378Z out = F.relu_(out) 2025-12-04T09:03:47.5308476Z 2025-12-04T09:03:47.5308575Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5309007Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5309416Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5309766Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5310117Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5310470Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5310802Z x = stage(x) 2025-12-04T09:03:47.5311114Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:03:47.5311461Z out = self.conv2(out) 2025-12-04T09:03:47.5311769Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:47.5312090Z x = F.conv2d( 2025-12-04T09:03:47.5312175Z 2025-12-04T09:03:47.5312279Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5312715Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5313127Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5313479Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5313830Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5314176Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5314515Z x = stage(x) 2025-12-04T09:03:47.5314824Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:03:47.5315198Z out = F.relu_(out) 2025-12-04T09:03:47.5315294Z 2025-12-04T09:03:47.5315390Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5317308Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5317795Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5318195Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5318548Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5318905Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5319312Z x = stage(x) 2025-12-04T09:03:47.5319619Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:03:47.5319970Z out = self.conv3(out) 2025-12-04T09:03:47.5320287Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:47.5320609Z x = F.conv2d( 2025-12-04T09:03:47.5320699Z 2025-12-04T09:03:47.5320799Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5321272Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5321692Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5322115Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5322484Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5322849Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5323225Z x = stage(x) 2025-12-04T09:03:47.5323534Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:03:47.5323888Z out = F.relu_(out) 2025-12-04T09:03:47.5323986Z 2025-12-04T09:03:47.5324094Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5324543Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5324962Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5325322Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5325690Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5326048Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5326395Z x = stage(x) 2025-12-04T09:03:47.5326718Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:03:47.5327069Z out = self.conv1(x) 2025-12-04T09:03:47.5327390Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:47.5327716Z x = F.conv2d( 2025-12-04T09:03:47.5327803Z 2025-12-04T09:03:47.5327910Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5328346Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5328773Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5329133Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5329494Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5329938Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5330288Z x = stage(x) 2025-12-04T09:03:47.5330607Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:03:47.5330959Z out = F.relu_(out) 2025-12-04T09:03:47.5331056Z 2025-12-04T09:03:47.5331155Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5331603Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5332033Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5332387Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5332769Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5333141Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5333496Z x = stage(x) 2025-12-04T09:03:47.5333809Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:03:47.5334167Z out = self.conv2(out) 2025-12-04T09:03:47.5334487Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:47.5334825Z x = F.conv2d( 2025-12-04T09:03:47.5334917Z 2025-12-04T09:03:47.5335016Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5335469Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5335883Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5336221Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5336576Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5336928Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5337262Z x = stage(x) 2025-12-04T09:03:47.5337566Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:03:47.5337904Z out = F.relu_(out) 2025-12-04T09:03:47.5337999Z 2025-12-04T09:03:47.5338100Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5338525Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5338939Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5339288Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5339638Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5339984Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5340326Z x = stage(x) 2025-12-04T09:03:47.5340636Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:03:47.5340984Z out = self.conv3(out) 2025-12-04T09:03:47.5341285Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:47.5341603Z x = F.conv2d( 2025-12-04T09:03:47.5341688Z 2025-12-04T09:03:47.5341791Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5342216Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5342629Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5343014Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5343366Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5343710Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5344049Z x = stage(x) 2025-12-04T09:03:47.5344358Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:03:47.5344691Z out = F.relu_(out) 2025-12-04T09:03:47.5344791Z 2025-12-04T09:03:47.5344886Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5345337Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5345751Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5346098Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5346447Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5346799Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5347136Z x = stage(x) 2025-12-04T09:03:47.5347461Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:03:47.5347806Z out = self.conv1(x) 2025-12-04T09:03:47.5348113Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:47.5348425Z x = F.conv2d( 2025-12-04T09:03:47.5348517Z 2025-12-04T09:03:47.5348612Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5349048Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5349459Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5349801Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5350151Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5350506Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5350845Z x = stage(x) 2025-12-04T09:03:47.5351242Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:03:47.5351591Z out = F.relu_(out) 2025-12-04T09:03:47.5351690Z 2025-12-04T09:03:47.5351794Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5352228Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5352650Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5353042Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5353400Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5353751Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5354093Z x = stage(x) 2025-12-04T09:03:47.5354403Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:03:47.5354739Z out = self.conv2(out) 2025-12-04T09:03:47.5355050Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:47.5355372Z x = F.conv2d( 2025-12-04T09:03:47.5355456Z 2025-12-04T09:03:47.5355560Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5356028Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5356448Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5356803Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5357158Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5357507Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5357850Z x = stage(x) 2025-12-04T09:03:47.5358164Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:03:47.5358518Z out = F.relu_(out) 2025-12-04T09:03:47.5358620Z 2025-12-04T09:03:47.5358717Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5359154Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5359569Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5359912Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5360296Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5360650Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5360988Z x = stage(x) 2025-12-04T09:03:47.5361292Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:03:47.5361636Z out = self.conv3(out) 2025-12-04T09:03:47.5363047Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:47.5363420Z x = F.conv2d( 2025-12-04T09:03:47.5363524Z 2025-12-04T09:03:47.5363624Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5364068Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5364493Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5364848Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5365207Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5365572Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5365910Z x = stage(x) 2025-12-04T09:03:47.5366226Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward 2025-12-04T09:03:47.5366579Z shortcut = self.shortcut(x) 2025-12-04T09:03:47.5366907Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:47.5367222Z x = F.conv2d( 2025-12-04T09:03:47.5367312Z 2025-12-04T09:03:47.5367410Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5367851Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5368270Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5368618Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5368968Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5369328Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5369663Z x = stage(x) 2025-12-04T09:03:47.5370037Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:03:47.5370385Z out = self.conv1(x) 2025-12-04T09:03:47.5370693Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:47.5371009Z x = F.conv2d( 2025-12-04T09:03:47.5371102Z 2025-12-04T09:03:47.5371201Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5371642Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5372052Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5372406Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5372779Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5373135Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5373490Z x = stage(x) 2025-12-04T09:03:47.5373802Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:03:47.5374145Z out = F.relu_(out) 2025-12-04T09:03:47.5374239Z 2025-12-04T09:03:47.5374338Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5374816Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5375229Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5375579Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5375926Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5376282Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5376622Z x = stage(x) 2025-12-04T09:03:47.5376938Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:03:47.5377280Z out = self.conv2(out) 2025-12-04T09:03:47.5377593Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:47.5377920Z x = F.conv2d( 2025-12-04T09:03:47.5378004Z 2025-12-04T09:03:47.5378100Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5378534Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5378953Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5379301Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5379643Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5380003Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5380346Z x = stage(x) 2025-12-04T09:03:47.5380659Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:03:47.5380995Z out = F.relu_(out) 2025-12-04T09:03:47.5381096Z 2025-12-04T09:03:47.5381191Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5381623Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5382030Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5382380Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5382727Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5383111Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5383442Z x = stage(x) 2025-12-04T09:03:47.5383748Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:03:47.5384092Z out = self.conv3(out) 2025-12-04T09:03:47.5384395Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:47.5384712Z x = F.conv2d( 2025-12-04T09:03:47.5384801Z 2025-12-04T09:03:47.5384895Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5385327Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5385757Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5386110Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5386460Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5386814Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5387147Z x = stage(x) 2025-12-04T09:03:47.5387477Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:03:47.5387820Z out = F.relu_(out) 2025-12-04T09:03:47.5387914Z 2025-12-04T09:03:47.5388011Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5388450Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5388869Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5389223Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5389568Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5389921Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5390263Z x = stage(x) 2025-12-04T09:03:47.5390566Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:03:47.5390918Z out = self.conv1(x) 2025-12-04T09:03:47.5391226Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:47.5391546Z x = F.conv2d( 2025-12-04T09:03:47.5391631Z 2025-12-04T09:03:47.5391728Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5392166Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5392584Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5392949Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5393374Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5393738Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5394089Z x = stage(x) 2025-12-04T09:03:47.5394395Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:03:47.5394742Z out = F.relu_(out) 2025-12-04T09:03:47.5394842Z 2025-12-04T09:03:47.5394941Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5395380Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5395832Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5396184Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5396537Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5396893Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5397226Z x = stage(x) 2025-12-04T09:03:47.5397533Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:03:47.5397878Z out = self.conv2(out) 2025-12-04T09:03:47.5398181Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:47.5398529Z x = F.conv2d( 2025-12-04T09:03:47.5398613Z 2025-12-04T09:03:47.5398719Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5399161Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5399569Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5399919Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5400271Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5400637Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5400974Z x = stage(x) 2025-12-04T09:03:47.5401284Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:03:47.5401622Z out = F.relu_(out) 2025-12-04T09:03:47.5401715Z 2025-12-04T09:03:47.5401876Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5402329Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5402755Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5403138Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5403487Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5403843Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5404188Z x = stage(x) 2025-12-04T09:03:47.5404491Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:03:47.5404901Z out = self.conv3(out) 2025-12-04T09:03:47.5405223Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:47.5405556Z x = F.conv2d( 2025-12-04T09:03:47.5405645Z 2025-12-04T09:03:47.5405748Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5406202Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5406634Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5406988Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5407353Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5407719Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5408069Z x = stage(x) 2025-12-04T09:03:47.5408384Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:03:47.5408742Z out = F.relu_(out) 2025-12-04T09:03:47.5408840Z 2025-12-04T09:03:47.5408984Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5409432Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5409849Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5410208Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5410571Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5410925Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5411271Z x = stage(x) 2025-12-04T09:03:47.5411608Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:03:47.5411961Z out = self.conv1(x) 2025-12-04T09:03:47.5412269Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:47.5412600Z x = F.conv2d( 2025-12-04T09:03:47.5412686Z 2025-12-04T09:03:47.5412796Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5413235Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5413683Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5414044Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5414407Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5414765Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5415121Z x = stage(x) 2025-12-04T09:03:47.5415442Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:03:47.5416025Z out = F.relu_(out) 2025-12-04T09:03:47.5416130Z 2025-12-04T09:03:47.5416233Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5416685Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5417131Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5417483Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5417841Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5418202Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5418546Z x = stage(x) 2025-12-04T09:03:47.5418853Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:03:47.5419203Z out = self.conv2(out) 2025-12-04T09:03:47.5419519Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:47.5419842Z x = F.conv2d( 2025-12-04T09:03:47.5419931Z 2025-12-04T09:03:47.5420032Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5420474Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5420900Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5421251Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5421610Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5421974Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5422318Z x = stage(x) 2025-12-04T09:03:47.5422707Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:03:47.5423053Z out = F.relu_(out) 2025-12-04T09:03:47.5423147Z 2025-12-04T09:03:47.5423253Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5423682Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5424110Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5424460Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5424817Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5425202Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5425537Z x = stage(x) 2025-12-04T09:03:47.5425850Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:03:47.5426194Z out = self.conv3(out) 2025-12-04T09:03:47.5426493Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:47.5426811Z x = F.conv2d( 2025-12-04T09:03:47.5426895Z 2025-12-04T09:03:47.5427022Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5427453Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5427872Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5428230Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5428584Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5428936Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5429277Z x = stage(x) 2025-12-04T09:03:47.5429587Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:03:47.5429920Z out = F.relu_(out) 2025-12-04T09:03:47.5430021Z 2025-12-04T09:03:47.5430118Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5430555Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5430968Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5431308Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5431663Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5432021Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5432361Z x = stage(x) 2025-12-04T09:03:47.5432663Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:03:47.5433004Z out = self.conv1(x) 2025-12-04T09:03:47.5433308Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:47.5433619Z x = F.conv2d( 2025-12-04T09:03:47.5433711Z 2025-12-04T09:03:47.5433806Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5434239Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5434653Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5434996Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5435374Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5435730Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5436066Z x = stage(x) 2025-12-04T09:03:47.5436368Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:03:47.5436712Z out = F.relu_(out) 2025-12-04T09:03:47.5436803Z 2025-12-04T09:03:47.5436906Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5437334Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5437771Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5438124Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5438475Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5438821Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5439165Z x = stage(x) 2025-12-04T09:03:47.5439483Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:03:47.5439842Z out = self.conv2(out) 2025-12-04T09:03:47.5440158Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:47.5440479Z x = F.conv2d( 2025-12-04T09:03:47.5440563Z 2025-12-04T09:03:47.5440669Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5441103Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5441522Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5441944Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5442314Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5442672Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5443024Z x = stage(x) 2025-12-04T09:03:47.5443358Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:03:47.5443697Z out = F.relu_(out) 2025-12-04T09:03:47.5443803Z 2025-12-04T09:03:47.5443903Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5444350Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5444784Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5445145Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5445508Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5445877Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5446228Z x = stage(x) 2025-12-04T09:03:47.5446538Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:03:47.5446895Z out = self.conv3(out) 2025-12-04T09:03:47.5447215Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:47.5447538Z x = F.conv2d( 2025-12-04T09:03:47.5447634Z 2025-12-04T09:03:47.5447734Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5448183Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5448648Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5449006Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5449367Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5449731Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5450073Z x = stage(x) 2025-12-04T09:03:47.5450389Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:03:47.5450740Z out = F.relu_(out) 2025-12-04T09:03:47.5450835Z 2025-12-04T09:03:47.5450961Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5451413Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5451851Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5452215Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5452577Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5452936Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5453302Z x = stage(x) 2025-12-04T09:03:47.5453622Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:03:47.5453967Z out = self.conv1(x) 2025-12-04T09:03:47.5454285Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:47.5454615Z x = F.conv2d( 2025-12-04T09:03:47.5454701Z 2025-12-04T09:03:47.5454807Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5455248Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5455674Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5456036Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5456390Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5456760Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5457103Z x = stage(x) 2025-12-04T09:03:47.5457415Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:03:47.5457751Z out = F.relu_(out) 2025-12-04T09:03:47.5457854Z 2025-12-04T09:03:47.5457949Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5458384Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5458812Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5459152Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5459503Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5459855Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5460184Z x = stage(x) 2025-12-04T09:03:47.5460494Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:03:47.5460842Z out = self.conv2(out) 2025-12-04T09:03:47.5461155Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:47.5461468Z x = F.conv2d( 2025-12-04T09:03:47.5461559Z 2025-12-04T09:03:47.5461688Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5462123Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5462539Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5462884Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5463234Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5463590Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5463938Z x = stage(x) 2025-12-04T09:03:47.5464249Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:03:47.5464585Z out = F.relu_(out) 2025-12-04T09:03:47.5464678Z 2025-12-04T09:03:47.5464786Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5465211Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5465627Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5465975Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5466335Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5466687Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5467029Z x = stage(x) 2025-12-04T09:03:47.5467335Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:03:47.5467670Z out = self.conv3(out) 2025-12-04T09:03:47.5467982Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:47.5468299Z x = F.conv2d( 2025-12-04T09:03:47.5468382Z 2025-12-04T09:03:47.5468488Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5468916Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5469337Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5469686Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5470032Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5470388Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5470725Z x = stage(x) 2025-12-04T09:03:47.5471035Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:03:47.5471373Z out = F.relu_(out) 2025-12-04T09:03:47.5471475Z 2025-12-04T09:03:47.5471572Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5472006Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5472418Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5472766Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5473115Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5473467Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5473798Z x = stage(x) 2025-12-04T09:03:47.5474105Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:03:47.5474498Z out = self.conv1(x) 2025-12-04T09:03:47.5474814Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:47.5475133Z x = F.conv2d( 2025-12-04T09:03:47.5475229Z 2025-12-04T09:03:47.5475328Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5475768Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5476185Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5476544Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5476915Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5477271Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5477603Z x = stage(x) 2025-12-04T09:03:47.5477922Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:03:47.5478263Z out = F.relu_(out) 2025-12-04T09:03:47.5478355Z 2025-12-04T09:03:47.5478452Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5478889Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5479321Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5479670Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5480013Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5480366Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5480700Z x = stage(x) 2025-12-04T09:03:47.5481008Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:03:47.5481343Z out = self.conv2(out) 2025-12-04T09:03:47.5481657Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:47.5482067Z x = F.conv2d( 2025-12-04T09:03:47.5482160Z 2025-12-04T09:03:47.5482261Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5482714Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5483148Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5483518Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5483865Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5484232Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5484593Z x = stage(x) 2025-12-04T09:03:47.5484909Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:03:47.5485263Z out = F.relu_(out) 2025-12-04T09:03:47.5485366Z 2025-12-04T09:03:47.5485465Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5485916Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5486339Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5486703Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5487071Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5487478Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5487818Z x = stage(x) 2025-12-04T09:03:47.5488140Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:03:47.5488495Z out = self.conv3(out) 2025-12-04T09:03:47.5488807Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:47.5489137Z x = F.conv2d( 2025-12-04T09:03:47.5489231Z 2025-12-04T09:03:47.5489330Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5489773Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5490214Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5490579Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5490946Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5491316Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5491659Z x = stage(x) 2025-12-04T09:03:47.5491979Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward 2025-12-04T09:03:47.5492361Z shortcut = self.shortcut(x) 2025-12-04T09:03:47.5492688Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:47.5493023Z x = F.conv2d( 2025-12-04T09:03:47.5493109Z 2025-12-04T09:03:47.5493215Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5493667Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5494090Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5494457Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5494822Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5495182Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5495531Z x = stage(x) 2025-12-04T09:03:47.5495849Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:03:47.5496203Z out = self.conv1(x) 2025-12-04T09:03:47.5496530Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:47.5496849Z x = F.conv2d( 2025-12-04T09:03:47.5496932Z 2025-12-04T09:03:47.5497038Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5497477Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5497883Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5498236Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5498587Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5498933Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5499273Z x = stage(x) 2025-12-04T09:03:47.5499583Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:03:47.5499926Z out = F.relu_(out) 2025-12-04T09:03:47.5500020Z 2025-12-04T09:03:47.5500117Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5500591Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5501012Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5501363Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5501712Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5502071Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5502415Z x = stage(x) 2025-12-04T09:03:47.5502721Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:03:47.5503068Z out = self.conv2(out) 2025-12-04T09:03:47.5503401Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:47.5503719Z x = F.conv2d( 2025-12-04T09:03:47.5503804Z 2025-12-04T09:03:47.5503903Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5504335Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5504750Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5505092Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5505465Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5505821Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5506161Z x = stage(x) 2025-12-04T09:03:47.5506468Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:03:47.5506810Z out = F.relu_(out) 2025-12-04T09:03:47.5506902Z 2025-12-04T09:03:47.5507009Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5507453Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5507863Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5508215Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5508571Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5508918Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5509258Z x = stage(x) 2025-12-04T09:03:47.5509569Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:03:47.5509917Z out = self.conv3(out) 2025-12-04T09:03:47.5510221Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:47.5510546Z x = F.conv2d( 2025-12-04T09:03:47.5510630Z 2025-12-04T09:03:47.5510735Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5511165Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5511586Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5511935Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5512287Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5512632Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5512974Z x = stage(x) 2025-12-04T09:03:47.5513284Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:03:47.5513659Z out = F.relu_(out) 2025-12-04T09:03:47.5513754Z 2025-12-04T09:03:47.5513850Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5514281Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5514692Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5515038Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5515390Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5516046Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5516469Z x = stage(x) 2025-12-04T09:03:47.5516808Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:03:47.5517156Z out = self.conv1(x) 2025-12-04T09:03:47.5517469Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:47.5517781Z x = F.conv2d( 2025-12-04T09:03:47.5517874Z 2025-12-04T09:03:47.5517972Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5518406Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5518857Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5519200Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5519553Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5519910Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5520247Z x = stage(x) 2025-12-04T09:03:47.5520552Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:03:47.5520891Z out = F.relu_(out) 2025-12-04T09:03:47.5520985Z 2025-12-04T09:03:47.5521090Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5521518Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5521992Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5522355Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5522733Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5523084Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5523440Z x = stage(x) 2025-12-04T09:03:47.5523777Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:03:47.5524140Z out = self.conv2(out) 2025-12-04T09:03:47.5524457Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:47.5524791Z x = F.conv2d( 2025-12-04T09:03:47.5524880Z 2025-12-04T09:03:47.5524989Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5525434Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5525852Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5526242Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5526612Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5527043Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5527396Z x = stage(x) 2025-12-04T09:03:47.5527718Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:03:47.5528064Z out = F.relu_(out) 2025-12-04T09:03:47.5528167Z 2025-12-04T09:03:47.5528266Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5528714Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5529143Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5529495Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5529885Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5530254Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5530607Z x = stage(x) 2025-12-04T09:03:47.5530921Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:03:47.5531276Z out = self.conv3(out) 2025-12-04T09:03:47.5531595Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:47.5531935Z x = F.conv2d( 2025-12-04T09:03:47.5532029Z 2025-12-04T09:03:47.5532126Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5532572Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5532997Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5533346Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:03:47.5533706Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:03:47.5534070Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:47.5534410Z x = stage(x) 2025-12-04T09:03:47.5534725Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:03:47.5535077Z out = F.relu_(out) 2025-12-04T09:03:47.5535173Z 2025-12-04T09:03:47.5535277Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5535712Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5536141Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5536499Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 141, in forward 2025-12-04T09:03:47.5536935Z prev_features = self.lateral_convs[0](bottom_up_features[self.in_features[-1]]) 2025-12-04T09:03:47.5537347Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:47.5537414Z x = F.conv2d( 2025-12-04T09:03:47.5537418Z 2025-12-04T09:03:47.5537498Z cudagraph partition due to non gpu ops 2025-12-04T09:03:47.5537600Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5537900Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5537978Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5538210Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 142, in forward 2025-12-04T09:03:47.5538315Z results.append(self.output_convs[0](prev_features)) 2025-12-04T09:03:47.5538524Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:47.5538623Z x = F.conv2d( 2025-12-04T09:03:47.5538628Z 2025-12-04T09:03:47.5538726Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5539025Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5539106Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5539331Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 154, in forward 2025-12-04T09:03:47.5539432Z lateral_features = lateral_conv(features) 2025-12-04T09:03:47.5539636Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:47.5539710Z x = F.conv2d( 2025-12-04T09:03:47.5539720Z 2025-12-04T09:03:47.5539815Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5540108Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5540191Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5540412Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 154, in forward 2025-12-04T09:03:47.5540494Z lateral_features = lateral_conv(features) 2025-12-04T09:03:47.5540722Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:47.5540779Z x = F.conv2d( 2025-12-04T09:03:47.5540783Z 2025-12-04T09:03:47.5540886Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5541166Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5541241Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5541469Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 154, in forward 2025-12-04T09:03:47.5541548Z lateral_features = lateral_conv(features) 2025-12-04T09:03:47.5541752Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:47.5541816Z x = F.conv2d( 2025-12-04T09:03:47.5541822Z 2025-12-04T09:03:47.5541918Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5542206Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5542282Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5542501Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 155, in forward 2025-12-04T09:03:47.5542610Z prev_features = lateral_features + top_down_features 2025-12-04T09:03:47.5542613Z 2025-12-04T09:03:47.5542710Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5542997Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5543072Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5543289Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 155, in forward 2025-12-04T09:03:47.5543397Z prev_features = lateral_features + top_down_features 2025-12-04T09:03:47.5543401Z 2025-12-04T09:03:47.5543495Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5543784Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5543861Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5544110Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 155, in forward 2025-12-04T09:03:47.5544214Z prev_features = lateral_features + top_down_features 2025-12-04T09:03:47.5544218Z 2025-12-04T09:03:47.5544298Z cudagraph partition due to non gpu ops 2025-12-04T09:03:47.5544383Z cudagraph partition due to non gpu ops 2025-12-04T09:03:47.5544457Z cudagraph partition due to non gpu ops 2025-12-04T09:03:47.5544553Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5544840Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5544915Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5545134Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 165, in forward 2025-12-04T09:03:47.5545263Z results.extend(self.top_block(top_block_in_feature)) 2025-12-04T09:03:47.5545480Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 200, in forward 2025-12-04T09:03:47.5545603Z return [F.max_pool2d(x, kernel_size=1, stride=2, padding=0)] 2025-12-04T09:03:47.5545607Z 2025-12-04T09:03:47.5545700Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5545984Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5546082Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5546296Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 158, in forward 2025-12-04T09:03:47.5546389Z results.insert(0, output_conv(prev_features)) 2025-12-04T09:03:47.5546594Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:47.5546651Z x = F.conv2d( 2025-12-04T09:03:47.5546654Z 2025-12-04T09:03:47.5546755Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5547034Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5547108Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5547332Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 158, in forward 2025-12-04T09:03:47.5547419Z results.insert(0, output_conv(prev_features)) 2025-12-04T09:03:47.5547631Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:47.5547687Z x = F.conv2d( 2025-12-04T09:03:47.5547689Z 2025-12-04T09:03:47.5547783Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:47.5548068Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:47.5548143Z features = self.backbone(images.tensor) 2025-12-04T09:03:47.5548364Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 158, in forward 2025-12-04T09:03:47.5548449Z results.insert(0, output_conv(prev_features)) 2025-12-04T09:03:47.5548653Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:47.5548720Z x = F.conv2d( 2025-12-04T09:03:47.5548723Z 2025-12-04T09:03:59.2838399Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:59.2839372Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/boxes.py", line 114, in _batched_nms_vanilla 2025-12-04T09:03:59.2839819Z keep_mask = torch.zeros_like(scores, dtype=torch.bool) 2025-12-04T09:03:59.2839986Z 2025-12-04T09:04:03.6078971Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:04:03.6079821Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward 2025-12-04T09:04:03.6080178Z return roi_align( 2025-12-04T09:04:03.6080507Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align 2025-12-04T09:04:03.6080861Z return torch.ops.torchvision.roi_align( 2025-12-04T09:04:03.6081010Z 2025-12-04T09:04:03.6081121Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:04:03.6081486Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward 2025-12-04T09:04:03.6081908Z return roi_align( 2025-12-04T09:04:03.6082228Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align 2025-12-04T09:04:03.6082653Z return torch.ops.torchvision.roi_align( 2025-12-04T09:04:03.6082792Z 2025-12-04T09:04:10.3310155Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:04:10.3310795Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 165, in torch_dynamo_resume_in_fast_rcnn_inference_single_image_at_162 2025-12-04T09:04:10.3311339Z boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep] 2025-12-04T09:04:10.3311535Z 2025-12-04T09:04:10.3311641Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:04:10.3312337Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 165, in torch_dynamo_resume_in_fast_rcnn_inference_single_image_at_162 2025-12-04T09:04:10.3312862Z boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep] 2025-12-04T09:04:10.3313056Z 2025-12-04T09:04:10.3313162Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:04:10.3313664Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 165, in torch_dynamo_resume_in_fast_rcnn_inference_single_image_at_162 2025-12-04T09:04:10.3314190Z boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep] 2025-12-04T09:04:10.3314369Z 2025-12-04T09:04:15.5600286Z cudagraph partition due to non gpu ops 2025-12-04T09:04:15.5600839Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:04:15.5601492Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess 2025-12-04T09:04:15.5602151Z output_boxes.clip(results.image_size) 2025-12-04T09:04:15.5602562Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip 2025-12-04T09:04:15.5603047Z assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!" 2025-12-04T09:04:15.5603307Z 2025-12-04T09:04:15.5603406Z cudagraph partition due to non gpu ops 2025-12-04T09:04:15.5603684Z cudagraph partition due to non gpu ops 2025-12-04T09:04:15.5603948Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:04:15.5604438Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess 2025-12-04T09:04:15.5604870Z output_boxes.clip(results.image_size) 2025-12-04T09:04:15.5605262Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip 2025-12-04T09:04:15.5605691Z self.tensor = torch.stack((x1, y1, x2, y2), dim=-1) 2025-12-04T09:04:15.5605854Z 2025-12-04T09:04:15.5605980Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:04:15.5606461Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 58, in detector_postprocess 2025-12-04T09:04:15.5606940Z results = results[output_boxes.nonempty()] 2025-12-04T09:04:15.5607369Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 212, in nonempty 2025-12-04T09:04:15.5607819Z keep = (widths > threshold) & (heights > threshold) 2025-12-04T09:04:15.5608371Z 2025-12-04T09:04:25.6370960Z Compilation time (from dynamo_timed): 45.972647808 2025-12-04T09:04:25.6371380Z pass 2025-12-04T09:04:25.6375700Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:04:25.6378164Z TIMING: gc:0.04394 entire_frame_compile:45.97265 _recursive_pre_grad_passes:0.03125 _recursive_joint_graph_passes:0.33251 async_compile.wait:2.29315 inductor_compile:14.58769 backend_compile:25.99502 _recursive_post_grad_passes:0.10677 code_gen:5.58396 total_wall_time:45.97265 2025-12-04T09:04:25.6383589Z STATS: call_* op count: 986 | FakeTensorMode.__torch_dispatch__:21202 | FakeTensor.__torch_dispatch__:6413 | ProxyTorchDispatchMode.__torch_dispatch__:5065 | attempt fast:137 | slow no contiguity match:54 | fast is_contiguous:83 2025-12-04T09:04:25.6384633Z Dynamo produced 61 graphs covering 986 ops with 46 graph breaks (6 unique) 2025-12-04T09:04:29.2255031Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-12-04T09:04:29.2255785Z import pynvml # type: ignore[import] 2025-12-04T09:04:31.1856736Z 2025-12-04T09:04:39.5708496Z loading model: 0it [00:00, ?it/s] 2025-12-04T09:04:39.5710070Z loading model: 0it [00:08, ?it/s] 2025-12-04T09:04:39.5722010Z cpu eval detectron2_fcos_r_50_fpn 2025-12-04T09:04:57.2180615Z WARNING:common:fp64 golden ref were not generated for detectron2_fcos_r_50_fpn. Setting accuracy check to cosine 2025-12-04T09:04:57.2239855Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:05:07.8124442Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:05:18.3585183Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:05:20.3054500Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:20.3061960Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 128, in preprocess_image 2025-12-04T09:05:20.3062873Z images = [(x - self.pixel_mean) / self.pixel_std for x in images] 2025-12-04T09:05:20.3063803Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 128, in 2025-12-04T09:05:20.3066183Z images = [(x - self.pixel_mean) / self.pixel_std for x in images] 2025-12-04T09:05:20.3066582Z 2025-12-04T09:05:20.3071296Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:20.3074903Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 128, in preprocess_image 2025-12-04T09:05:20.3078698Z images = [(x - self.pixel_mean) / self.pixel_std for x in images] 2025-12-04T09:05:20.3079222Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 128, in 2025-12-04T09:05:20.3079667Z images = [(x - self.pixel_mean) / self.pixel_std for x in images] 2025-12-04T09:05:20.3079836Z 2025-12-04T09:05:20.3079954Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:20.3080400Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 128, in preprocess_image 2025-12-04T09:05:20.3080841Z images = [(x - self.pixel_mean) / self.pixel_std for x in images] 2025-12-04T09:05:20.3081266Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 128, in 2025-12-04T09:05:20.3081701Z images = [(x - self.pixel_mean) / self.pixel_std for x in images] 2025-12-04T09:05:20.3082004Z 2025-12-04T09:05:20.3082655Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:20.3083126Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 128, in preprocess_image 2025-12-04T09:05:20.3083562Z images = [(x - self.pixel_mean) / self.pixel_std for x in images] 2025-12-04T09:05:20.3084005Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 128, in 2025-12-04T09:05:20.3084441Z images = [(x - self.pixel_mean) / self.pixel_std for x in images] 2025-12-04T09:05:20.3084622Z 2025-12-04T09:05:27.5521420Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:27.5522012Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in from_tensors 2025-12-04T09:05:27.5523000Z image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes] 2025-12-04T09:05:27.5523508Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in 2025-12-04T09:05:27.5523977Z image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes] 2025-12-04T09:05:27.5524423Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 39, in shapes_to_tensor 2025-12-04T09:05:27.5528408Z return torch.as_tensor(x, device=device) 2025-12-04T09:05:27.5528832Z 2025-12-04T09:05:27.5528959Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:27.5529414Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in from_tensors 2025-12-04T09:05:27.5529861Z image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes] 2025-12-04T09:05:27.5530289Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in 2025-12-04T09:05:27.5530709Z image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes] 2025-12-04T09:05:27.5531135Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 39, in shapes_to_tensor 2025-12-04T09:05:27.5531539Z return torch.as_tensor(x, device=device) 2025-12-04T09:05:27.5531689Z 2025-12-04T09:05:27.5531799Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:27.5532211Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in from_tensors 2025-12-04T09:05:27.5532631Z image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes] 2025-12-04T09:05:27.5533033Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in 2025-12-04T09:05:27.5533440Z image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes] 2025-12-04T09:05:27.5533851Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 39, in shapes_to_tensor 2025-12-04T09:05:27.5534232Z return torch.as_tensor(x, device=device) 2025-12-04T09:05:27.5534371Z 2025-12-04T09:05:27.5534477Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:27.5534886Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in from_tensors 2025-12-04T09:05:27.5535301Z image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes] 2025-12-04T09:05:27.5535702Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in 2025-12-04T09:05:27.5536109Z image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes] 2025-12-04T09:05:27.5536521Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 39, in shapes_to_tensor 2025-12-04T09:05:27.5536883Z return torch.as_tensor(x, device=device) 2025-12-04T09:05:27.5537011Z 2025-12-04T09:05:27.5537110Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:27.5537606Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 89, in from_tensors 2025-12-04T09:05:27.5538009Z max_size = torch.stack(image_sizes_tensor).max(0).values 2025-12-04T09:05:27.5538168Z 2025-12-04T09:05:27.5538279Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:27.5538668Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 101, in from_tensors 2025-12-04T09:05:27.5539116Z max_size = (max_size + (stride - 1)).div(stride, rounding_mode="floor") * stride 2025-12-04T09:05:27.5539315Z 2025-12-04T09:05:28.2037639Z cudagraph partition due to non gpu ops 2025-12-04T09:05:42.2609094Z cudagraph partition due to non gpu ops 2025-12-04T09:05:42.2609922Z cudagraph partition due to non gpu ops 2025-12-04T09:05:42.2610259Z cudagraph partition due to non gpu ops 2025-12-04T09:05:42.2610564Z cudagraph partition due to non gpu ops 2025-12-04T09:05:42.2610916Z cudagraph partition due to non gpu ops 2025-12-04T09:05:42.2611237Z cudagraph partition due to non gpu ops 2025-12-04T09:05:42.2611542Z cudagraph partition due to non gpu ops 2025-12-04T09:05:42.2611873Z cudagraph partition due to non gpu ops 2025-12-04T09:05:42.2612190Z cudagraph partition due to non gpu ops 2025-12-04T09:05:42.2612506Z cudagraph partition due to non gpu ops 2025-12-04T09:05:42.2612809Z cudagraph partition due to non gpu ops 2025-12-04T09:05:42.2613211Z cudagraph partition due to non gpu ops 2025-12-04T09:05:42.2613537Z cudagraph partition due to non gpu ops 2025-12-04T09:05:42.2613846Z cudagraph partition due to non gpu ops 2025-12-04T09:05:42.2614168Z cudagraph partition due to non gpu ops 2025-12-04T09:05:42.2614488Z cudagraph partition due to non gpu ops 2025-12-04T09:05:42.2614823Z cudagraph partition due to non gpu ops 2025-12-04T09:05:42.2615151Z cudagraph partition due to non gpu ops 2025-12-04T09:05:42.2615475Z cudagraph partition due to non gpu ops 2025-12-04T09:05:42.2616166Z cudagraph partition due to non gpu ops 2025-12-04T09:05:42.2616498Z cudagraph partition due to non gpu ops 2025-12-04T09:05:42.2616815Z cudagraph partition due to non gpu ops 2025-12-04T09:05:42.2617132Z cudagraph partition due to non gpu ops 2025-12-04T09:05:42.2617431Z cudagraph partition due to non gpu ops 2025-12-04T09:05:42.2617793Z cudagraph partition due to non gpu ops 2025-12-04T09:05:42.2618098Z cudagraph partition due to non gpu ops 2025-12-04T09:05:42.2618416Z cudagraph partition due to non gpu ops 2025-12-04T09:05:42.2618701Z cudagraph partition due to non gpu ops 2025-12-04T09:05:42.2619069Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.2619925Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.2620672Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.2621298Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.2621920Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.2622523Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 445, in forward 2025-12-04T09:05:42.2623088Z x = self.stem(x) 2025-12-04T09:05:42.2623614Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 356, in forward 2025-12-04T09:05:42.2624217Z x = self.conv1(x) 2025-12-04T09:05:42.2624737Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:05:42.2625263Z x = F.conv2d( 2025-12-04T09:05:42.2625414Z 2025-12-04T09:05:42.2625579Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.2626345Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.2627090Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.2627839Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.2628445Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.2629049Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 445, in forward 2025-12-04T09:05:42.2629616Z x = self.stem(x) 2025-12-04T09:05:42.2630140Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 357, in forward 2025-12-04T09:05:42.2630712Z x = F.relu_(x) 2025-12-04T09:05:42.2630840Z 2025-12-04T09:05:42.2631006Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.2631848Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.2632633Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.2633246Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.2633842Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.2634437Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 445, in forward 2025-12-04T09:05:42.2635009Z x = self.stem(x) 2025-12-04T09:05:42.2635589Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 358, in forward 2025-12-04T09:05:42.2636216Z x = F.max_pool2d(x, kernel_size=3, stride=2, padding=1) 2025-12-04T09:05:42.2636479Z 2025-12-04T09:05:42.2636634Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.2637395Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.2638120Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.2638702Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.2639281Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.2639857Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.2640428Z x = stage(x) 2025-12-04T09:05:42.2640889Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:05:42.2641470Z out = self.conv1(x) 2025-12-04T09:05:42.2642100Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:05:42.2642686Z x = F.conv2d( 2025-12-04T09:05:42.2642834Z 2025-12-04T09:05:42.2643000Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.2643789Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.2644544Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.2645129Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.2645737Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.2646353Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.2646945Z x = stage(x) 2025-12-04T09:05:42.2647459Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:05:42.2648058Z out = F.relu_(out) 2025-12-04T09:05:42.2648227Z 2025-12-04T09:05:42.2648400Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.2649259Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.2650013Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.2650623Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.2651227Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.2651835Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.2652422Z x = stage(x) 2025-12-04T09:05:42.2652952Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:05:42.2653553Z out = self.conv2(out) 2025-12-04T09:05:42.2654128Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:05:42.2654677Z x = F.conv2d( 2025-12-04T09:05:42.2654809Z 2025-12-04T09:05:42.2654987Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.2655732Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.2656511Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.2657141Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.2657771Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.2658379Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.2658951Z x = stage(x) 2025-12-04T09:05:42.2659497Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:05:42.2660075Z out = F.relu_(out) 2025-12-04T09:05:42.2660232Z 2025-12-04T09:05:42.2660385Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.2661196Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.2661929Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.2662504Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.2663099Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.2663687Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.2664292Z x = stage(x) 2025-12-04T09:05:42.2664809Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:05:42.2665410Z out = self.conv3(out) 2025-12-04T09:05:42.2665939Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:05:42.2666497Z x = F.conv2d( 2025-12-04T09:05:42.2666634Z 2025-12-04T09:05:42.2666778Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.2667552Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.2668299Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.2668897Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.2669491Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.2670112Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.2670707Z x = stage(x) 2025-12-04T09:05:42.2671216Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward 2025-12-04T09:05:42.2671863Z shortcut = self.shortcut(x) 2025-12-04T09:05:42.2672398Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:05:42.2672932Z x = F.conv2d( 2025-12-04T09:05:42.2673073Z 2025-12-04T09:05:42.2673235Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.2674015Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.2674753Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.2675360Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.2676006Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.2676641Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.2677221Z x = stage(x) 2025-12-04T09:05:42.2677745Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:05:42.2678322Z out = self.conv1(x) 2025-12-04T09:05:42.2678839Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:05:42.2679398Z x = F.conv2d( 2025-12-04T09:05:42.2679544Z 2025-12-04T09:05:42.2679710Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.2680510Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.2681287Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.2682025Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.2682709Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.2683369Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.2683901Z x = stage(x) 2025-12-04T09:05:42.2684369Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:05:42.2684880Z out = F.relu_(out) 2025-12-04T09:05:42.2685011Z 2025-12-04T09:05:42.2685149Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.2685834Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.2686580Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.2687220Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.2687863Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.2688505Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.2689124Z x = stage(x) 2025-12-04T09:05:42.2689659Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:05:42.2690210Z out = self.conv2(out) 2025-12-04T09:05:42.2690677Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:05:42.2691188Z x = F.conv2d( 2025-12-04T09:05:42.2691310Z 2025-12-04T09:05:42.2691464Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.2692214Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.2692944Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.2693689Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.2694309Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.2694946Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.2695527Z x = stage(x) 2025-12-04T09:05:42.2696045Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:05:42.2696629Z out = F.relu_(out) 2025-12-04T09:05:42.2696785Z 2025-12-04T09:05:42.2696935Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.2697691Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.2698381Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.2698947Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.2699566Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.2700183Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.2700763Z x = stage(x) 2025-12-04T09:05:42.2701291Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:05:42.2701937Z out = self.conv3(out) 2025-12-04T09:05:42.2702467Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:05:42.2703010Z x = F.conv2d( 2025-12-04T09:05:42.2703153Z 2025-12-04T09:05:42.2703307Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.2704101Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.2704887Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.2705489Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.2706108Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.2706730Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.2707317Z x = stage(x) 2025-12-04T09:05:42.2707853Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:05:42.2708433Z out = F.relu_(out) 2025-12-04T09:05:42.2708576Z 2025-12-04T09:05:42.2708732Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.2709498Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.2710243Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.2710827Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.2711410Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.2712013Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.2712612Z x = stage(x) 2025-12-04T09:05:42.2713144Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:05:42.2713720Z out = self.conv1(x) 2025-12-04T09:05:42.2714245Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:05:42.2714781Z x = F.conv2d( 2025-12-04T09:05:42.2714905Z 2025-12-04T09:05:42.2715060Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.2716139Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.2716847Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.2717444Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.2718059Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.2718678Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.2719225Z x = stage(x) 2025-12-04T09:05:42.2719781Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:05:42.2720456Z out = F.relu_(out) 2025-12-04T09:05:42.2720616Z 2025-12-04T09:05:42.2720776Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.2721644Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.2722609Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.2723266Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.2723885Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.2724529Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.2725079Z x = stage(x) 2025-12-04T09:05:42.2725593Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:05:42.2726183Z out = self.conv2(out) 2025-12-04T09:05:42.2726712Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:05:42.2727276Z x = F.conv2d( 2025-12-04T09:05:42.2727431Z 2025-12-04T09:05:42.2727604Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.2728435Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.2729232Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.2729871Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.2730496Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.2731109Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.2731678Z x = stage(x) 2025-12-04T09:05:42.2732214Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:05:42.2732789Z out = F.relu_(out) 2025-12-04T09:05:42.2732945Z 2025-12-04T09:05:42.2733123Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.2733952Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.2734759Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.2735409Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.2736050Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.2736700Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.2737324Z x = stage(x) 2025-12-04T09:05:42.2737900Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:05:42.2738525Z out = self.conv3(out) 2025-12-04T09:05:42.2739188Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:05:42.2739768Z x = F.conv2d( 2025-12-04T09:05:42.2739905Z 2025-12-04T09:05:42.2740071Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.2740886Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.2741683Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.2742322Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.2742949Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.2743600Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.2744289Z x = stage(x) 2025-12-04T09:05:42.2744854Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:05:42.2745474Z out = F.relu_(out) 2025-12-04T09:05:42.2745645Z 2025-12-04T09:05:42.2746101Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.2746943Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.2747801Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.2748433Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.2749072Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.2749736Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.2750355Z x = stage(x) 2025-12-04T09:05:42.2750930Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:05:42.2751567Z out = self.conv1(x) 2025-12-04T09:05:42.2752123Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:05:42.2752700Z x = F.conv2d( 2025-12-04T09:05:42.2752858Z 2025-12-04T09:05:42.2753029Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.2753895Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.2754690Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.2755325Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.2755967Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.2756610Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.2757212Z x = stage(x) 2025-12-04T09:05:42.2757784Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:05:42.2758402Z out = F.relu_(out) 2025-12-04T09:05:42.2758567Z 2025-12-04T09:05:42.2758743Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.2759595Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.2760419Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.2761068Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.2761708Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.2762490Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.2763143Z x = stage(x) 2025-12-04T09:05:42.2763845Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:05:42.2764489Z out = self.conv2(out) 2025-12-04T09:05:42.2765079Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:05:42.2765670Z x = F.conv2d( 2025-12-04T09:05:42.2765823Z 2025-12-04T09:05:42.2765997Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.2766860Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.2767693Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.2768423Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.2769055Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.2769714Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.2770328Z x = stage(x) 2025-12-04T09:05:42.2770893Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:05:42.2771511Z out = F.relu_(out) 2025-12-04T09:05:42.2772311Z 2025-12-04T09:05:42.2772480Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.2773322Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.2774118Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.2774780Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.2775419Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.2776088Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.2776689Z x = stage(x) 2025-12-04T09:05:42.2777251Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:05:42.2777872Z out = self.conv3(out) 2025-12-04T09:05:42.2778423Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:05:42.2778995Z x = F.conv2d( 2025-12-04T09:05:42.2779148Z 2025-12-04T09:05:42.2779317Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.2780152Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.2780941Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.2781562Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.2782181Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.2782817Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.2783410Z x = stage(x) 2025-12-04T09:05:42.2783963Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward 2025-12-04T09:05:42.2784590Z shortcut = self.shortcut(x) 2025-12-04T09:05:42.2785144Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:05:42.2785711Z x = F.conv2d( 2025-12-04T09:05:42.2785859Z 2025-12-04T09:05:42.2786026Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.2786853Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.2787757Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.2788398Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.2789035Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.2789682Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.2790288Z x = stage(x) 2025-12-04T09:05:42.2790841Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:05:42.2791461Z out = self.conv1(x) 2025-12-04T09:05:42.2791987Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:05:42.2792593Z x = F.conv2d( 2025-12-04T09:05:42.2792736Z 2025-12-04T09:05:42.2792909Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.2793737Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.2794522Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.2795146Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.2795824Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.2796452Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.2797073Z x = stage(x) 2025-12-04T09:05:42.2797627Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:05:42.2798242Z out = F.relu_(out) 2025-12-04T09:05:42.2798405Z 2025-12-04T09:05:42.2798573Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.2799414Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.2800233Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.2800884Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.2801522Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.2802316Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.2802993Z x = stage(x) 2025-12-04T09:05:42.2803594Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:05:42.2804264Z out = self.conv2(out) 2025-12-04T09:05:42.2804850Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:05:42.2805444Z x = F.conv2d( 2025-12-04T09:05:42.2805589Z 2025-12-04T09:05:42.2805765Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.2806621Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.2807421Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.2808080Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.2808730Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.2809392Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.2810017Z x = stage(x) 2025-12-04T09:05:42.2810577Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:05:42.2811201Z out = F.relu_(out) 2025-12-04T09:05:42.2811361Z 2025-12-04T09:05:42.2811661Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.2812531Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.2813340Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.2813995Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.2814655Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.2815296Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.2816046Z x = stage(x) 2025-12-04T09:05:42.2816709Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:05:42.2817333Z out = self.conv3(out) 2025-12-04T09:05:42.2817899Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:05:42.2818480Z x = F.conv2d( 2025-12-04T09:05:42.2818626Z 2025-12-04T09:05:42.2818806Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.2819645Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.2820488Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.2821132Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.2821768Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.2822405Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.2823016Z x = stage(x) 2025-12-04T09:05:42.2823583Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:05:42.2824197Z out = F.relu_(out) 2025-12-04T09:05:42.2824356Z 2025-12-04T09:05:42.2824520Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.2825338Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.2826125Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.2826766Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.2827456Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.2828220Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.2828748Z x = stage(x) 2025-12-04T09:05:42.2829211Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:05:42.2829803Z out = self.conv1(x) 2025-12-04T09:05:42.2830323Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:05:42.2830906Z x = F.conv2d( 2025-12-04T09:05:42.2831044Z 2025-12-04T09:05:42.2831199Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.2831989Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.2832757Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.2833372Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.2834002Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.2834634Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.2835408Z x = stage(x) 2025-12-04T09:05:42.2835959Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:05:42.2836578Z out = F.relu_(out) 2025-12-04T09:05:42.2836736Z 2025-12-04T09:05:42.2836906Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.2837739Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.2838518Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.2839148Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.2839819Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.2840448Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.2841057Z x = stage(x) 2025-12-04T09:05:42.2841620Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:05:42.2842374Z out = self.conv2(out) 2025-12-04T09:05:42.2842946Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:05:42.2843574Z x = F.conv2d( 2025-12-04T09:05:42.2843721Z 2025-12-04T09:05:42.2843904Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.2844750Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.2845584Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.2846250Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.2846915Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.2847594Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.2848237Z x = stage(x) 2025-12-04T09:05:42.2848827Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:05:42.2849487Z out = F.relu_(out) 2025-12-04T09:05:42.2849665Z 2025-12-04T09:05:42.2849842Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.2850719Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.2851559Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.2852239Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.2852908Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.2853554Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.2854155Z x = stage(x) 2025-12-04T09:05:42.2854704Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:05:42.2855324Z out = self.conv3(out) 2025-12-04T09:05:42.2855876Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:05:42.2856443Z x = F.conv2d( 2025-12-04T09:05:42.2856589Z 2025-12-04T09:05:42.2856756Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.2857573Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.2858351Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.2859070Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.2859714Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.2860348Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.2860949Z x = stage(x) 2025-12-04T09:05:42.2861493Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:05:42.2862111Z out = F.relu_(out) 2025-12-04T09:05:42.2862270Z 2025-12-04T09:05:42.2862444Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.2863252Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.2864112Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.2864748Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.2865382Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.2866014Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.2866618Z x = stage(x) 2025-12-04T09:05:42.2867188Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:05:42.2867851Z out = self.conv1(x) 2025-12-04T09:05:42.2868389Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:05:42.2868962Z x = F.conv2d( 2025-12-04T09:05:42.2869107Z 2025-12-04T09:05:42.2869281Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.2870110Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.2870907Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.2871549Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.2872186Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.2872835Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.2873445Z x = stage(x) 2025-12-04T09:05:42.2874008Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:05:42.2874612Z out = F.relu_(out) 2025-12-04T09:05:42.2874783Z 2025-12-04T09:05:42.2874949Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.2875777Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.2876560Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.2877187Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.2877814Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.2878460Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.2879067Z x = stage(x) 2025-12-04T09:05:42.2879618Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:05:42.2880236Z out = self.conv2(out) 2025-12-04T09:05:42.2880788Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:05:42.2881349Z x = F.conv2d( 2025-12-04T09:05:42.2881499Z 2025-12-04T09:05:42.2881664Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.2882711Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.2883559Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.2884211Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.2884883Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.2885529Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.2886154Z x = stage(x) 2025-12-04T09:05:42.2886732Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:05:42.2887451Z out = F.relu_(out) 2025-12-04T09:05:42.2887622Z 2025-12-04T09:05:42.2887802Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.2888671Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.2889499Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.2890169Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.2890830Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.2891535Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.2892177Z x = stage(x) 2025-12-04T09:05:42.2892775Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:05:42.2893424Z out = self.conv3(out) 2025-12-04T09:05:42.2894003Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:05:42.2894603Z x = F.conv2d( 2025-12-04T09:05:42.2894754Z 2025-12-04T09:05:42.2894943Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.2895770Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.2896562Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.2897201Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.2897846Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.2898474Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.2899089Z x = stage(x) 2025-12-04T09:05:42.2899669Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:05:42.2900293Z out = F.relu_(out) 2025-12-04T09:05:42.2900461Z 2025-12-04T09:05:42.2900622Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.2901444Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.2902229Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.2902876Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 154, in forward 2025-12-04T09:05:42.2903512Z lateral_features = lateral_conv(features) 2025-12-04T09:05:42.2904122Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:05:42.2904684Z x = F.conv2d( 2025-12-04T09:05:42.2904830Z 2025-12-04T09:05:42.2904990Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.2905810Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.2906685Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.2907311Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.2907939Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.2908584Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.2909185Z x = stage(x) 2025-12-04T09:05:42.2909741Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:05:42.2910352Z out = self.conv1(x) 2025-12-04T09:05:42.2910896Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:05:42.2911501Z x = F.conv2d( 2025-12-04T09:05:42.2911652Z 2025-12-04T09:05:42.2911814Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.2912634Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.2913423Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.2914065Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.2914755Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.2915424Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.2916215Z x = stage(x) 2025-12-04T09:05:42.2916786Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:05:42.2917425Z out = F.relu_(out) 2025-12-04T09:05:42.2917582Z 2025-12-04T09:05:42.2917755Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.2918556Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.2919352Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.2919995Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.2943138Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.2944036Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.2944666Z x = stage(x) 2025-12-04T09:05:42.2945235Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:05:42.2945884Z out = self.conv2(out) 2025-12-04T09:05:42.2946438Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:05:42.2947004Z x = F.conv2d( 2025-12-04T09:05:42.2947172Z 2025-12-04T09:05:42.2947346Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.2948187Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.2948991Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.2949624Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.2950265Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.2950913Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.2951508Z x = stage(x) 2025-12-04T09:05:42.2952067Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:05:42.2952678Z out = F.relu_(out) 2025-12-04T09:05:42.2952841Z 2025-12-04T09:05:42.2953285Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.2954112Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.2954906Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.2955547Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.2956165Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.2956805Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.2957482Z x = stage(x) 2025-12-04T09:05:42.2958047Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:05:42.2958663Z out = self.conv3(out) 2025-12-04T09:05:42.2959224Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:05:42.2959798Z x = F.conv2d( 2025-12-04T09:05:42.2959939Z 2025-12-04T09:05:42.2960103Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.2960943Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.2961814Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.2962624Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.2963305Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.2964021Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.2964641Z x = stage(x) 2025-12-04T09:05:42.2965253Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward 2025-12-04T09:05:42.2965939Z shortcut = self.shortcut(x) 2025-12-04T09:05:42.2966556Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:05:42.2967173Z x = F.conv2d( 2025-12-04T09:05:42.2967325Z 2025-12-04T09:05:42.2967509Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.2968409Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.2969308Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.2969990Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.2970674Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.2971375Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.2972036Z x = stage(x) 2025-12-04T09:05:42.2972632Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:05:42.2973303Z out = self.conv1(x) 2025-12-04T09:05:42.2973892Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:05:42.2974510Z x = F.conv2d( 2025-12-04T09:05:42.2974653Z 2025-12-04T09:05:42.2974826Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.2975664Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.2976457Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.2977092Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.2977810Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.2978461Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.2979076Z x = stage(x) 2025-12-04T09:05:42.2979623Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:05:42.2980238Z out = F.relu_(out) 2025-12-04T09:05:42.2980410Z 2025-12-04T09:05:42.2980579Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.2981404Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.2982232Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.2982876Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.2983513Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.2984160Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.2984758Z x = stage(x) 2025-12-04T09:05:42.2985310Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:05:42.2985983Z out = self.conv2(out) 2025-12-04T09:05:42.2986539Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:05:42.2987112Z x = F.conv2d( 2025-12-04T09:05:42.2987258Z 2025-12-04T09:05:42.2987435Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.2988273Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.2989068Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.2989715Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.2990351Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.2990979Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.2991592Z x = stage(x) 2025-12-04T09:05:42.2992160Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:05:42.2992787Z out = F.relu_(out) 2025-12-04T09:05:42.2992953Z 2025-12-04T09:05:42.2993120Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.2993957Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.2994770Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.2995433Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.2996079Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.2996734Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.2997362Z x = stage(x) 2025-12-04T09:05:42.2997931Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:05:42.2998566Z out = self.conv3(out) 2025-12-04T09:05:42.2999149Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:05:42.2999762Z x = F.conv2d( 2025-12-04T09:05:42.2999909Z 2025-12-04T09:05:42.3000078Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3001005Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3001832Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.3002579Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.3003232Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.3003897Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.3004525Z x = stage(x) 2025-12-04T09:05:42.3005101Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:05:42.3005738Z out = F.relu_(out) 2025-12-04T09:05:42.3005949Z 2025-12-04T09:05:42.3006130Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3006978Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3007797Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.3008458Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.3009103Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.3009757Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.3010430Z x = stage(x) 2025-12-04T09:05:42.3011016Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:05:42.3011636Z out = self.conv1(x) 2025-12-04T09:05:42.3012173Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:05:42.3012749Z x = F.conv2d( 2025-12-04T09:05:42.3012889Z 2025-12-04T09:05:42.3013066Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3013901Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3014695Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.3015325Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.3016173Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.3016691Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.3017057Z x = stage(x) 2025-12-04T09:05:42.3017377Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:05:42.3017732Z out = F.relu_(out) 2025-12-04T09:05:42.3017832Z 2025-12-04T09:05:42.3017934Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3018399Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3018837Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.3019188Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.3019542Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.3019898Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.3020238Z x = stage(x) 2025-12-04T09:05:42.3020545Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:05:42.3020897Z out = self.conv2(out) 2025-12-04T09:05:42.3021213Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:05:42.3021666Z x = F.conv2d( 2025-12-04T09:05:42.3021759Z 2025-12-04T09:05:42.3021863Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3022329Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3022773Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.3023125Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.3023481Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.3023841Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.3024217Z x = stage(x) 2025-12-04T09:05:42.3024529Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:05:42.3024884Z out = F.relu_(out) 2025-12-04T09:05:42.3024987Z 2025-12-04T09:05:42.3025098Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3025560Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3025997Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.3026407Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.3026763Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.3027116Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.3027461Z x = stage(x) 2025-12-04T09:05:42.3027776Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:05:42.3028122Z out = self.conv3(out) 2025-12-04T09:05:42.3028433Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:05:42.3028759Z x = F.conv2d( 2025-12-04T09:05:42.3028848Z 2025-12-04T09:05:42.3028957Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3029407Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3029853Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.3030207Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.3030567Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.3030918Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.3031260Z x = stage(x) 2025-12-04T09:05:42.3031574Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:05:42.3031919Z out = F.relu_(out) 2025-12-04T09:05:42.3032016Z 2025-12-04T09:05:42.3032112Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3032566Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3033001Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.3033347Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.3033696Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.3034053Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.3034393Z x = stage(x) 2025-12-04T09:05:42.3034733Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:05:42.3035089Z out = self.conv1(x) 2025-12-04T09:05:42.3035388Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:05:42.3035710Z x = F.conv2d( 2025-12-04T09:05:42.3035804Z 2025-12-04T09:05:42.3035900Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3036352Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3036773Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.3037121Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.3037493Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.3037851Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.3038186Z x = stage(x) 2025-12-04T09:05:42.3038499Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:05:42.3038844Z out = F.relu_(out) 2025-12-04T09:05:42.3038939Z 2025-12-04T09:05:42.3039035Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3039503Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3039935Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.3040286Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.3040634Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.3040988Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.3041329Z x = stage(x) 2025-12-04T09:05:42.3041651Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:05:42.3042104Z out = self.conv2(out) 2025-12-04T09:05:42.3042438Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:05:42.3042783Z x = F.conv2d( 2025-12-04T09:05:42.3042876Z 2025-12-04T09:05:42.3042980Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3043455Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3043894Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.3044247Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.3044598Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.3044956Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.3045302Z x = stage(x) 2025-12-04T09:05:42.3045610Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:05:42.3045956Z out = F.relu_(out) 2025-12-04T09:05:42.3046056Z 2025-12-04T09:05:42.3046152Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3046606Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3047032Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.3047386Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.3047740Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.3048130Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.3048462Z x = stage(x) 2025-12-04T09:05:42.3048770Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:05:42.3049113Z out = self.conv3(out) 2025-12-04T09:05:42.3049413Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:05:42.3049730Z x = F.conv2d( 2025-12-04T09:05:42.3049814Z 2025-12-04T09:05:42.3049916Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3050388Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3050808Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.3051161Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.3051512Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.3051860Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.3052199Z x = stage(x) 2025-12-04T09:05:42.3052528Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:05:42.3052870Z out = F.relu_(out) 2025-12-04T09:05:42.3052964Z 2025-12-04T09:05:42.3053060Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3053511Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3053944Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.3054296Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.3054641Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.3054996Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.3055337Z x = stage(x) 2025-12-04T09:05:42.3055644Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:05:42.3055987Z out = self.conv1(x) 2025-12-04T09:05:42.3056298Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:05:42.3056619Z x = F.conv2d( 2025-12-04T09:05:42.3056707Z 2025-12-04T09:05:42.3056804Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3057259Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3057699Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.3058054Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.3058399Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.3058754Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.3059095Z x = stage(x) 2025-12-04T09:05:42.3059398Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:05:42.3059741Z out = F.relu_(out) 2025-12-04T09:05:42.3059836Z 2025-12-04T09:05:42.3059939Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3060391Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3060846Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.3061200Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.3061553Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.3061899Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.3062239Z x = stage(x) 2025-12-04T09:05:42.3062548Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:05:42.3062891Z out = self.conv2(out) 2025-12-04T09:05:42.3063193Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:05:42.3063536Z x = F.conv2d( 2025-12-04T09:05:42.3063621Z 2025-12-04T09:05:42.3063727Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3064181Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3064603Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.3064952Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.3065328Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.3065678Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.3066020Z x = stage(x) 2025-12-04T09:05:42.3066333Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:05:42.3066680Z out = F.relu_(out) 2025-12-04T09:05:42.3066773Z 2025-12-04T09:05:42.3066868Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3067324Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3067759Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.3068105Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.3068464Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.3068818Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.3069159Z x = stage(x) 2025-12-04T09:05:42.3069464Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:05:42.3069813Z out = self.conv3(out) 2025-12-04T09:05:42.3070125Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:05:42.3070450Z x = F.conv2d( 2025-12-04T09:05:42.3070539Z 2025-12-04T09:05:42.3070635Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3071090Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3071526Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.3071874Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.3072229Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.3072584Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.3072928Z x = stage(x) 2025-12-04T09:05:42.3073235Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:05:42.3073580Z out = F.relu_(out) 2025-12-04T09:05:42.3073675Z 2025-12-04T09:05:42.3073813Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3074272Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3074695Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.3075050Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.3075403Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.3075751Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.3076129Z x = stage(x) 2025-12-04T09:05:42.3076441Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:05:42.3076785Z out = self.conv1(x) 2025-12-04T09:05:42.3077086Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:05:42.3077407Z x = F.conv2d( 2025-12-04T09:05:42.3077492Z 2025-12-04T09:05:42.3077595Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3078039Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3078493Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.3078848Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.3079202Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.3079553Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.3079897Z x = stage(x) 2025-12-04T09:05:42.3080212Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:05:42.3080555Z out = F.relu_(out) 2025-12-04T09:05:42.3080647Z 2025-12-04T09:05:42.3080743Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3081192Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3081625Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.3082040Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.3082449Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.3082834Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.3083207Z x = stage(x) 2025-12-04T09:05:42.3083527Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:05:42.3083896Z out = self.conv2(out) 2025-12-04T09:05:42.3084213Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:05:42.3084535Z x = F.conv2d( 2025-12-04T09:05:42.3084632Z 2025-12-04T09:05:42.3084731Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3085209Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3085663Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.3086024Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.3086393Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.3086762Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.3087161Z x = stage(x) 2025-12-04T09:05:42.3087484Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:05:42.3087840Z out = F.relu_(out) 2025-12-04T09:05:42.3087952Z 2025-12-04T09:05:42.3088100Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3088714Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3089163Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.3089529Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.3089927Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.3090288Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.3090642Z x = stage(x) 2025-12-04T09:05:42.3090962Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:05:42.3091319Z out = self.conv3(out) 2025-12-04T09:05:42.3091632Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:05:42.3091982Z x = F.conv2d( 2025-12-04T09:05:42.3092069Z 2025-12-04T09:05:42.3092173Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3092629Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3093074Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.3093430Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.3093791Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.3094151Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.3094499Z x = stage(x) 2025-12-04T09:05:42.3094814Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:05:42.3095157Z out = F.relu_(out) 2025-12-04T09:05:42.3095260Z 2025-12-04T09:05:42.3095358Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3095837Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3096269Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.3096625Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 154, in forward 2025-12-04T09:05:42.3096995Z lateral_features = lateral_conv(features) 2025-12-04T09:05:42.3097333Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:05:42.3097654Z x = F.conv2d( 2025-12-04T09:05:42.3097748Z 2025-12-04T09:05:42.3097843Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3098295Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3098716Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.3099067Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.3099418Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.3099774Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.3100105Z x = stage(x) 2025-12-04T09:05:42.3100444Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:05:42.3100793Z out = self.conv1(x) 2025-12-04T09:05:42.3101090Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:05:42.3101408Z x = F.conv2d( 2025-12-04T09:05:42.3101493Z 2025-12-04T09:05:42.3101599Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3102047Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3102469Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.3102836Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.3103184Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.3103532Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.3103872Z x = stage(x) 2025-12-04T09:05:42.3104181Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:05:42.3104526Z out = F.relu_(out) 2025-12-04T09:05:42.3104620Z 2025-12-04T09:05:42.3104716Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3105185Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3105621Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.3105973Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.3106323Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.3106679Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.3107021Z x = stage(x) 2025-12-04T09:05:42.3107327Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:05:42.3107676Z out = self.conv2(out) 2025-12-04T09:05:42.3107991Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:05:42.3108311Z x = F.conv2d( 2025-12-04T09:05:42.3108397Z 2025-12-04T09:05:42.3108494Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3108949Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3109385Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.3109736Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.3110097Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.3110457Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.3110800Z x = stage(x) 2025-12-04T09:05:42.3111110Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:05:42.3111454Z out = F.relu_(out) 2025-12-04T09:05:42.3111547Z 2025-12-04T09:05:42.3111652Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3112104Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3112529Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.3112878Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.3113274Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.3113627Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.3113970Z x = stage(x) 2025-12-04T09:05:42.3114283Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:05:42.3114628Z out = self.conv3(out) 2025-12-04T09:05:42.3114933Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:05:42.3115252Z x = F.conv2d( 2025-12-04T09:05:42.3115337Z 2025-12-04T09:05:42.3115441Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3116144Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3116582Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.3116953Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.3117322Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.3117679Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.3118077Z x = stage(x) 2025-12-04T09:05:42.3118428Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward 2025-12-04T09:05:42.3118801Z shortcut = self.shortcut(x) 2025-12-04T09:05:42.3119134Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:05:42.3119477Z x = F.conv2d( 2025-12-04T09:05:42.3119567Z 2025-12-04T09:05:42.3119678Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3120156Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3120619Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.3120985Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.3121350Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.3121710Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.3122113Z x = stage(x) 2025-12-04T09:05:42.3122438Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:05:42.3122829Z out = self.conv1(x) 2025-12-04T09:05:42.3123180Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:05:42.3123545Z x = F.conv2d( 2025-12-04T09:05:42.3123632Z 2025-12-04T09:05:42.3123741Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3124208Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3124654Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.3125023Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.3125395Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.3125759Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.3126115Z x = stage(x) 2025-12-04T09:05:42.3126442Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:05:42.3126790Z out = F.relu_(out) 2025-12-04T09:05:42.3126899Z 2025-12-04T09:05:42.3127076Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3127544Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3127991Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.3128345Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.3128711Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.3129078Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.3129434Z x = stage(x) 2025-12-04T09:05:42.3129777Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:05:42.3130137Z out = self.conv2(out) 2025-12-04T09:05:42.3130461Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:05:42.3130786Z x = F.conv2d( 2025-12-04T09:05:42.3130882Z 2025-12-04T09:05:42.3130982Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3131457Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3131918Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.3132272Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.3132634Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.3132996Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.3133343Z x = stage(x) 2025-12-04T09:05:42.3133654Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:05:42.3134051Z out = F.relu_(out) 2025-12-04T09:05:42.3134145Z 2025-12-04T09:05:42.3134249Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3134690Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3135117Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.3135466Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.3135817Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.3136160Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.3136496Z x = stage(x) 2025-12-04T09:05:42.3136805Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:05:42.3137142Z out = self.conv3(out) 2025-12-04T09:05:42.3137448Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:05:42.3137764Z x = F.conv2d( 2025-12-04T09:05:42.3137848Z 2025-12-04T09:05:42.3137952Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3138396Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3138829Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.3139180Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.3139534Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.3139877Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.3140218Z x = stage(x) 2025-12-04T09:05:42.3140566Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:05:42.3140903Z out = F.relu_(out) 2025-12-04T09:05:42.3141004Z 2025-12-04T09:05:42.3141105Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3141554Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3141989Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.3142332Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.3142706Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.3143066Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.3143406Z x = stage(x) 2025-12-04T09:05:42.3143721Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:05:42.3144068Z out = self.conv1(x) 2025-12-04T09:05:42.3144374Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:05:42.3144686Z x = F.conv2d( 2025-12-04T09:05:42.3144797Z 2025-12-04T09:05:42.3144896Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3145349Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3145778Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.3146121Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.3146471Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.3146827Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.3147155Z x = stage(x) 2025-12-04T09:05:42.3147471Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:05:42.3147816Z out = F.relu_(out) 2025-12-04T09:05:42.3147910Z 2025-12-04T09:05:42.3148016Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3148458Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3148900Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.3149252Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.3149606Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.3150038Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.3150539Z x = stage(x) 2025-12-04T09:05:42.3150857Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:05:42.3151195Z out = self.conv2(out) 2025-12-04T09:05:42.3151508Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:05:42.3151832Z x = F.conv2d( 2025-12-04T09:05:42.3151918Z 2025-12-04T09:05:42.3152025Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3152468Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3152903Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.3153254Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.3153640Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.3153999Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.3154340Z x = stage(x) 2025-12-04T09:05:42.3154650Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:05:42.3154990Z out = F.relu_(out) 2025-12-04T09:05:42.3155090Z 2025-12-04T09:05:42.3155187Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3155641Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3156089Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.3156433Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.3156790Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.3157148Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.3157206Z x = stage(x) 2025-12-04T09:05:42.3157430Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:05:42.3157521Z out = self.conv3(out) 2025-12-04T09:05:42.3157729Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:05:42.3157796Z x = F.conv2d( 2025-12-04T09:05:42.3157799Z 2025-12-04T09:05:42.3157897Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3158203Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3158288Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.3158510Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:05:42.3158595Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:05:42.3158821Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:05:42.3158880Z x = stage(x) 2025-12-04T09:05:42.3159115Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:05:42.3159176Z out = F.relu_(out) 2025-12-04T09:05:42.3159180Z 2025-12-04T09:05:42.3159277Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3159585Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3159664Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.3159892Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 141, in forward 2025-12-04T09:05:42.3160041Z prev_features = self.lateral_convs[0](bottom_up_features[self.in_features[-1]]) 2025-12-04T09:05:42.3160249Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:05:42.3160317Z x = F.conv2d( 2025-12-04T09:05:42.3160320Z 2025-12-04T09:05:42.3160414Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3160721Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3160798Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.3161017Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 155, in forward 2025-12-04T09:05:42.3161136Z prev_features = lateral_features + top_down_features 2025-12-04T09:05:42.3161173Z 2025-12-04T09:05:42.3161268Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3161571Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3161649Z features = self.backbone(images.tensor) 2025-12-04T09:05:42.3161958Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 155, in forward 2025-12-04T09:05:42.3162079Z prev_features = lateral_features + top_down_features 2025-12-04T09:05:42.3162083Z 2025-12-04T09:05:42.3162166Z cudagraph partition due to non gpu ops 2025-12-04T09:05:42.3162289Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3162606Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3162692Z predictions = self.head(features) 2025-12-04T09:05:42.3162932Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:05:42.3163058Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:05:42.3163061Z 2025-12-04T09:05:42.3163157Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3163478Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3163555Z predictions = self.head(features) 2025-12-04T09:05:42.3163784Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:05:42.3163893Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:05:42.3163896Z 2025-12-04T09:05:42.3163992Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3164301Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3164376Z predictions = self.head(features) 2025-12-04T09:05:42.3164605Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:05:42.3164712Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:05:42.3164715Z 2025-12-04T09:05:42.3164809Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3165110Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3165185Z predictions = self.head(features) 2025-12-04T09:05:42.3165412Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:05:42.3165518Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:05:42.3165521Z 2025-12-04T09:05:42.3165615Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3165915Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3165989Z predictions = self.head(features) 2025-12-04T09:05:42.3166209Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:05:42.3166319Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:05:42.3166322Z 2025-12-04T09:05:42.3166416Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3166721Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3166792Z predictions = self.head(features) 2025-12-04T09:05:42.3167115Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:05:42.3167230Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:05:42.3167234Z 2025-12-04T09:05:42.3167328Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3167636Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3167706Z predictions = self.head(features) 2025-12-04T09:05:42.3167925Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:05:42.3168056Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:05:42.3168059Z 2025-12-04T09:05:42.3168154Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3168459Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3168531Z predictions = self.head(features) 2025-12-04T09:05:42.3168750Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:05:42.3168882Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:05:42.3168885Z 2025-12-04T09:05:42.3168963Z cudagraph partition due to non gpu ops 2025-12-04T09:05:42.3169043Z cudagraph partition due to non gpu ops 2025-12-04T09:05:42.3169140Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3169437Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3169519Z predictions = self.head(features) 2025-12-04T09:05:42.3169742Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:05:42.3169845Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:05:42.3169857Z 2025-12-04T09:05:42.3169951Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3170245Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3170324Z predictions = self.head(features) 2025-12-04T09:05:42.3170540Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:05:42.3170643Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:05:42.3170648Z 2025-12-04T09:05:42.3170749Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3171049Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3171129Z predictions = self.head(features) 2025-12-04T09:05:42.3171347Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:05:42.3171450Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:05:42.3171454Z 2025-12-04T09:05:42.3171557Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3171852Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3171930Z predictions = self.head(features) 2025-12-04T09:05:42.3172149Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:05:42.3172251Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:05:42.3172254Z 2025-12-04T09:05:42.3172389Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3172685Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3172763Z predictions = self.head(features) 2025-12-04T09:05:42.3172981Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:05:42.3173085Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:05:42.3173088Z 2025-12-04T09:05:42.3173192Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3173489Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3173587Z predictions = self.head(features) 2025-12-04T09:05:42.3173812Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:05:42.3173915Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:05:42.3173918Z 2025-12-04T09:05:42.3174021Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3174320Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3174409Z predictions = self.head(features) 2025-12-04T09:05:42.3174640Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:05:42.3174741Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:05:42.3174746Z 2025-12-04T09:05:42.3174847Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3175147Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3175218Z predictions = self.head(features) 2025-12-04T09:05:42.3175449Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:05:42.3175552Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:05:42.3175557Z 2025-12-04T09:05:42.3175636Z cudagraph partition due to non gpu ops 2025-12-04T09:05:42.3175709Z cudagraph partition due to non gpu ops 2025-12-04T09:05:42.3175805Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3176115Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3176187Z predictions = self.head(features) 2025-12-04T09:05:42.3176416Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:05:42.3176521Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:05:42.3176524Z 2025-12-04T09:05:42.3176618Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3176922Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3176995Z predictions = self.head(features) 2025-12-04T09:05:42.3177216Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:05:42.3177324Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:05:42.3177327Z 2025-12-04T09:05:42.3177425Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3177732Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3177846Z predictions = self.head(features) 2025-12-04T09:05:42.3178066Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:05:42.3178174Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:05:42.3178177Z 2025-12-04T09:05:42.3178271Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3178577Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3178648Z predictions = self.head(features) 2025-12-04T09:05:42.3178867Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:05:42.3178998Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:05:42.3179001Z 2025-12-04T09:05:42.3179095Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3179399Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3179471Z predictions = self.head(features) 2025-12-04T09:05:42.3179691Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:05:42.3179820Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:05:42.3179823Z 2025-12-04T09:05:42.3179920Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3180226Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3180298Z predictions = self.head(features) 2025-12-04T09:05:42.3180521Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:05:42.3180632Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:05:42.3180635Z 2025-12-04T09:05:42.3180730Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3181036Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3181110Z predictions = self.head(features) 2025-12-04T09:05:42.3181330Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:05:42.3181439Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:05:42.3181442Z 2025-12-04T09:05:42.3181536Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3181837Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3181916Z predictions = self.head(features) 2025-12-04T09:05:42.3182145Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:05:42.3182253Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:05:42.3182256Z 2025-12-04T09:05:42.3182329Z cudagraph partition due to non gpu ops 2025-12-04T09:05:42.3182405Z cudagraph partition due to non gpu ops 2025-12-04T09:05:42.3182507Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3182803Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3182881Z predictions = self.head(features) 2025-12-04T09:05:42.3183106Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:05:42.3183206Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:05:42.3183209Z 2025-12-04T09:05:42.3183340Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3183639Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3183714Z predictions = self.head(features) 2025-12-04T09:05:42.3183937Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:05:42.3184040Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:05:42.3184043Z 2025-12-04T09:05:42.3184144Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3184442Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3184533Z predictions = self.head(features) 2025-12-04T09:05:42.3184765Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:05:42.3184866Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:05:42.3184869Z 2025-12-04T09:05:42.3184967Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3185260Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3185357Z predictions = self.head(features) 2025-12-04T09:05:42.3185590Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:05:42.3185695Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:05:42.3185699Z 2025-12-04T09:05:42.3185803Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3186109Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3186184Z predictions = self.head(features) 2025-12-04T09:05:42.3186416Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:05:42.3186519Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:05:42.3186524Z 2025-12-04T09:05:42.3186628Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3186930Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3187004Z predictions = self.head(features) 2025-12-04T09:05:42.3187240Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:05:42.3187343Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:05:42.3187346Z 2025-12-04T09:05:42.3187452Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3187754Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3187830Z predictions = self.head(features) 2025-12-04T09:05:42.3188063Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:05:42.3188170Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:05:42.3188173Z 2025-12-04T09:05:42.3188278Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3188582Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3188658Z predictions = self.head(features) 2025-12-04T09:05:42.3188922Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:05:42.3189026Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:05:42.3189029Z 2025-12-04T09:05:42.3189104Z cudagraph partition due to non gpu ops 2025-12-04T09:05:42.3189186Z cudagraph partition due to non gpu ops 2025-12-04T09:05:42.3189281Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3189587Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3189658Z predictions = self.head(features) 2025-12-04T09:05:42.3189880Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:05:42.3190009Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:05:42.3190012Z 2025-12-04T09:05:42.3190107Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3190419Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3190491Z predictions = self.head(features) 2025-12-04T09:05:42.3190712Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:05:42.3190840Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:05:42.3190843Z 2025-12-04T09:05:42.3190938Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3193658Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3193752Z predictions = self.head(features) 2025-12-04T09:05:42.3193986Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:05:42.3194091Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:05:42.3194104Z 2025-12-04T09:05:42.3194203Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3194513Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3194599Z predictions = self.head(features) 2025-12-04T09:05:42.3194826Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:05:42.3194930Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:05:42.3194943Z 2025-12-04T09:05:42.3195070Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3195380Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3195462Z predictions = self.head(features) 2025-12-04T09:05:42.3195690Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:05:42.3195791Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:05:42.3195794Z 2025-12-04T09:05:42.3195897Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3196203Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3196273Z predictions = self.head(features) 2025-12-04T09:05:42.3196503Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:05:42.3196607Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:05:42.3196610Z 2025-12-04T09:05:42.3196712Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3197039Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3197113Z predictions = self.head(features) 2025-12-04T09:05:42.3197338Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:05:42.3197441Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:05:42.3197444Z 2025-12-04T09:05:42.3197545Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3197839Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3197929Z predictions = self.head(features) 2025-12-04T09:05:42.3198160Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:05:42.3198263Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:05:42.3198265Z 2025-12-04T09:05:42.3198347Z cudagraph partition due to non gpu ops 2025-12-04T09:05:42.3198442Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3198740Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3198836Z predictions = self.head(features) 2025-12-04T09:05:42.3199056Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward 2025-12-04T09:05:42.3199142Z bbox_feature = self.bbox_subnet(feature) 2025-12-04T09:05:42.3199146Z 2025-12-04T09:05:42.3199302Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3199599Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3199677Z predictions = self.head(features) 2025-12-04T09:05:42.3199896Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward 2025-12-04T09:05:42.3199977Z bbox_feature = self.bbox_subnet(feature) 2025-12-04T09:05:42.3199987Z 2025-12-04T09:05:42.3200080Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3200375Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3200453Z predictions = self.head(features) 2025-12-04T09:05:42.3200674Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward 2025-12-04T09:05:42.3200753Z bbox_feature = self.bbox_subnet(feature) 2025-12-04T09:05:42.3200756Z 2025-12-04T09:05:42.3200856Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3201206Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3201286Z predictions = self.head(features) 2025-12-04T09:05:42.3201512Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward 2025-12-04T09:05:42.3201590Z bbox_feature = self.bbox_subnet(feature) 2025-12-04T09:05:42.3201593Z 2025-12-04T09:05:42.3201698Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3202074Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3202163Z predictions = self.head(features) 2025-12-04T09:05:42.3202415Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward 2025-12-04T09:05:42.3202497Z bbox_feature = self.bbox_subnet(feature) 2025-12-04T09:05:42.3202523Z 2025-12-04T09:05:42.3202635Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3202958Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3203055Z predictions = self.head(features) 2025-12-04T09:05:42.3203290Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward 2025-12-04T09:05:42.3203371Z bbox_feature = self.bbox_subnet(feature) 2025-12-04T09:05:42.3203374Z 2025-12-04T09:05:42.3203481Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3203821Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3203897Z predictions = self.head(features) 2025-12-04T09:05:42.3204146Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward 2025-12-04T09:05:42.3204228Z bbox_feature = self.bbox_subnet(feature) 2025-12-04T09:05:42.3204231Z 2025-12-04T09:05:42.3204340Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3204663Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3204759Z predictions = self.head(features) 2025-12-04T09:05:42.3205007Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward 2025-12-04T09:05:42.3205089Z bbox_feature = self.bbox_subnet(feature) 2025-12-04T09:05:42.3205125Z 2025-12-04T09:05:42.3205215Z cudagraph partition due to non gpu ops 2025-12-04T09:05:42.3205317Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3205645Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3205730Z predictions = self.head(features) 2025-12-04T09:05:42.3205972Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward 2025-12-04T09:05:42.3206061Z bbox_feature = self.bbox_subnet(feature) 2025-12-04T09:05:42.3206067Z 2025-12-04T09:05:42.3206169Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3206493Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3206580Z predictions = self.head(features) 2025-12-04T09:05:42.3206821Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward 2025-12-04T09:05:42.3206903Z bbox_feature = self.bbox_subnet(feature) 2025-12-04T09:05:42.3206913Z 2025-12-04T09:05:42.3207016Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3207344Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3207427Z predictions = self.head(features) 2025-12-04T09:05:42.3207668Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward 2025-12-04T09:05:42.3207750Z bbox_feature = self.bbox_subnet(feature) 2025-12-04T09:05:42.3207753Z 2025-12-04T09:05:42.3207860Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3208187Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3208272Z predictions = self.head(features) 2025-12-04T09:05:42.3208530Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward 2025-12-04T09:05:42.3208613Z bbox_feature = self.bbox_subnet(feature) 2025-12-04T09:05:42.3208617Z 2025-12-04T09:05:42.3208726Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3209052Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3209137Z predictions = self.head(features) 2025-12-04T09:05:42.3209377Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward 2025-12-04T09:05:42.3209457Z bbox_feature = self.bbox_subnet(feature) 2025-12-04T09:05:42.3209491Z 2025-12-04T09:05:42.3209602Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3209922Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3210006Z predictions = self.head(features) 2025-12-04T09:05:42.3210243Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward 2025-12-04T09:05:42.3210325Z bbox_feature = self.bbox_subnet(feature) 2025-12-04T09:05:42.3210328Z 2025-12-04T09:05:42.3210461Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3210785Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3210860Z predictions = self.head(features) 2025-12-04T09:05:42.3211129Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward 2025-12-04T09:05:42.3211216Z bbox_feature = self.bbox_subnet(feature) 2025-12-04T09:05:42.3211220Z 2025-12-04T09:05:42.3211329Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3211656Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3211733Z predictions = self.head(features) 2025-12-04T09:05:42.3212022Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward 2025-12-04T09:05:42.3212098Z bbox_feature = self.bbox_subnet(feature) 2025-12-04T09:05:42.3212102Z 2025-12-04T09:05:42.3212179Z cudagraph partition due to non gpu ops 2025-12-04T09:05:42.3212275Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3212577Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3212658Z predictions = self.head(features) 2025-12-04T09:05:42.3212882Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward 2025-12-04T09:05:42.3212968Z bbox_feature = self.bbox_subnet(feature) 2025-12-04T09:05:42.3212971Z 2025-12-04T09:05:42.3213064Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3213363Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3213443Z predictions = self.head(features) 2025-12-04T09:05:42.3213666Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward 2025-12-04T09:05:42.3213742Z bbox_feature = self.bbox_subnet(feature) 2025-12-04T09:05:42.3213753Z 2025-12-04T09:05:42.3213849Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3214147Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3214243Z predictions = self.head(features) 2025-12-04T09:05:42.3214465Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward 2025-12-04T09:05:42.3214539Z bbox_feature = self.bbox_subnet(feature) 2025-12-04T09:05:42.3214542Z 2025-12-04T09:05:42.3214643Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3214943Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3215018Z predictions = self.head(features) 2025-12-04T09:05:42.3215240Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward 2025-12-04T09:05:42.3215331Z bbox_feature = self.bbox_subnet(feature) 2025-12-04T09:05:42.3215334Z 2025-12-04T09:05:42.3215437Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3216069Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3216173Z predictions = self.head(features) 2025-12-04T09:05:42.3216403Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward 2025-12-04T09:05:42.3216527Z bbox_feature = self.bbox_subnet(feature) 2025-12-04T09:05:42.3216531Z 2025-12-04T09:05:42.3216636Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3216945Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3217058Z predictions = self.head(features) 2025-12-04T09:05:42.3217278Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward 2025-12-04T09:05:42.3217351Z bbox_feature = self.bbox_subnet(feature) 2025-12-04T09:05:42.3217355Z 2025-12-04T09:05:42.3217456Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3217753Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3217822Z predictions = self.head(features) 2025-12-04T09:05:42.3218052Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward 2025-12-04T09:05:42.3218128Z bbox_feature = self.bbox_subnet(feature) 2025-12-04T09:05:42.3218131Z 2025-12-04T09:05:42.3218232Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3218531Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3218602Z predictions = self.head(features) 2025-12-04T09:05:42.3218831Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward 2025-12-04T09:05:42.3218905Z bbox_feature = self.bbox_subnet(feature) 2025-12-04T09:05:42.3218909Z 2025-12-04T09:05:42.3218991Z cudagraph partition due to non gpu ops 2025-12-04T09:05:42.3219085Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3219385Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3219462Z predictions = self.head(features) 2025-12-04T09:05:42.3219682Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward 2025-12-04T09:05:42.3219766Z bbox_feature = self.bbox_subnet(feature) 2025-12-04T09:05:42.3219769Z 2025-12-04T09:05:42.3219863Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3220190Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3220272Z predictions = self.head(features) 2025-12-04T09:05:42.3220496Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward 2025-12-04T09:05:42.3220573Z bbox_feature = self.bbox_subnet(feature) 2025-12-04T09:05:42.3220584Z 2025-12-04T09:05:42.3220678Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3220977Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3221086Z predictions = self.head(features) 2025-12-04T09:05:42.3221308Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward 2025-12-04T09:05:42.3221383Z bbox_feature = self.bbox_subnet(feature) 2025-12-04T09:05:42.3221386Z 2025-12-04T09:05:42.3221491Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3221789Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3221869Z predictions = self.head(features) 2025-12-04T09:05:42.3222105Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward 2025-12-04T09:05:42.3222180Z bbox_feature = self.bbox_subnet(feature) 2025-12-04T09:05:42.3222183Z 2025-12-04T09:05:42.3222285Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3222599Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3222682Z predictions = self.head(features) 2025-12-04T09:05:42.3222903Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward 2025-12-04T09:05:42.3222979Z bbox_feature = self.bbox_subnet(feature) 2025-12-04T09:05:42.3222982Z 2025-12-04T09:05:42.3223084Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3223392Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3223469Z predictions = self.head(features) 2025-12-04T09:05:42.3223687Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward 2025-12-04T09:05:42.3223761Z bbox_feature = self.bbox_subnet(feature) 2025-12-04T09:05:42.3223767Z 2025-12-04T09:05:42.3223868Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3224166Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3224244Z predictions = self.head(features) 2025-12-04T09:05:42.3224465Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward 2025-12-04T09:05:42.3224539Z bbox_feature = self.bbox_subnet(feature) 2025-12-04T09:05:42.3224543Z 2025-12-04T09:05:42.3224646Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3224946Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3225016Z predictions = self.head(features) 2025-12-04T09:05:42.3225244Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward 2025-12-04T09:05:42.3225321Z bbox_feature = self.bbox_subnet(feature) 2025-12-04T09:05:42.3225324Z 2025-12-04T09:05:42.3225405Z cudagraph partition due to non gpu ops 2025-12-04T09:05:42.3225518Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3225816Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3225893Z predictions = self.head(features) 2025-12-04T09:05:42.3226111Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward 2025-12-04T09:05:42.3226194Z bbox_feature = self.bbox_subnet(feature) 2025-12-04T09:05:42.3226197Z 2025-12-04T09:05:42.3226291Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3226585Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3226682Z predictions = self.head(features) 2025-12-04T09:05:42.3226910Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward 2025-12-04T09:05:42.3226996Z bbox_feature = self.bbox_subnet(feature) 2025-12-04T09:05:42.3226999Z 2025-12-04T09:05:42.3227098Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3227397Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3227493Z predictions = self.head(features) 2025-12-04T09:05:42.3227713Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward 2025-12-04T09:05:42.3227788Z bbox_feature = self.bbox_subnet(feature) 2025-12-04T09:05:42.3227801Z 2025-12-04T09:05:42.3227910Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3228209Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3228287Z predictions = self.head(features) 2025-12-04T09:05:42.3228511Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward 2025-12-04T09:05:42.3228587Z bbox_feature = self.bbox_subnet(feature) 2025-12-04T09:05:42.3228590Z 2025-12-04T09:05:42.3228694Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3228998Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3229075Z predictions = self.head(features) 2025-12-04T09:05:42.3229301Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward 2025-12-04T09:05:42.3229379Z bbox_feature = self.bbox_subnet(feature) 2025-12-04T09:05:42.3229383Z 2025-12-04T09:05:42.3229490Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3229798Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3229877Z predictions = self.head(features) 2025-12-04T09:05:42.3230102Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward 2025-12-04T09:05:42.3230181Z bbox_feature = self.bbox_subnet(feature) 2025-12-04T09:05:42.3230183Z 2025-12-04T09:05:42.3230285Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3230591Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3230671Z predictions = self.head(features) 2025-12-04T09:05:42.3230898Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward 2025-12-04T09:05:42.3231005Z bbox_feature = self.bbox_subnet(feature) 2025-12-04T09:05:42.3231008Z 2025-12-04T09:05:42.3231111Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3231414Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3231485Z predictions = self.head(features) 2025-12-04T09:05:42.3231722Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward 2025-12-04T09:05:42.3231800Z bbox_feature = self.bbox_subnet(feature) 2025-12-04T09:05:42.3231802Z 2025-12-04T09:05:42.3231885Z cudagraph partition due to non gpu ops 2025-12-04T09:05:42.3232020Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3232323Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3232405Z predictions = self.head(features) 2025-12-04T09:05:42.3232627Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:05:42.3232742Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:05:42.3232745Z 2025-12-04T09:05:42.3232840Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3233166Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3233246Z predictions = self.head(features) 2025-12-04T09:05:42.3233489Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:05:42.3233607Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:05:42.3233611Z 2025-12-04T09:05:42.3233707Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3234013Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3234094Z predictions = self.head(features) 2025-12-04T09:05:42.3234349Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:05:42.3234455Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:05:42.3234466Z 2025-12-04T09:05:42.3234563Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3234868Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3234950Z predictions = self.head(features) 2025-12-04T09:05:42.3235179Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:05:42.3235285Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:05:42.3235296Z 2025-12-04T09:05:42.3235393Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3235696Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3235777Z predictions = self.head(features) 2025-12-04T09:05:42.3236005Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:05:42.3236110Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:05:42.3236113Z 2025-12-04T09:05:42.3236220Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3236527Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3236606Z predictions = self.head(features) 2025-12-04T09:05:42.3236849Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 326, in forward 2025-12-04T09:05:42.3236944Z bbox_reg.append(self.bbox_pred(bbox_feature)) 2025-12-04T09:05:42.3236948Z 2025-12-04T09:05:42.3237051Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3237354Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3237432Z predictions = self.head(features) 2025-12-04T09:05:42.3237657Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 326, in forward 2025-12-04T09:05:42.3237770Z bbox_reg.append(self.bbox_pred(bbox_feature)) 2025-12-04T09:05:42.3237773Z 2025-12-04T09:05:42.3237877Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3238189Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3238270Z predictions = self.head(features) 2025-12-04T09:05:42.3238502Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 326, in forward 2025-12-04T09:05:42.3238608Z bbox_reg.append(self.bbox_pred(bbox_feature)) 2025-12-04T09:05:42.3238611Z 2025-12-04T09:05:42.3238714Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3239013Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3239105Z predictions = self.head(features) 2025-12-04T09:05:42.3239341Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 326, in forward 2025-12-04T09:05:42.3239427Z bbox_reg.append(self.bbox_pred(bbox_feature)) 2025-12-04T09:05:42.3239432Z 2025-12-04T09:05:42.3239536Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:42.3239838Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95 2025-12-04T09:05:42.3239911Z predictions = self.head(features) 2025-12-04T09:05:42.3240147Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 326, in forward 2025-12-04T09:05:42.3240233Z bbox_reg.append(self.bbox_pred(bbox_feature)) 2025-12-04T09:05:42.3240236Z 2025-12-04T09:05:42.3240320Z cudagraph partition due to non gpu ops 2025-12-04T09:05:42.3240396Z cudagraph partition due to non gpu ops 2025-12-04T09:05:42.3240474Z cudagraph partition due to non gpu ops 2025-12-04T09:05:42.3240557Z cudagraph partition due to non gpu ops 2025-12-04T09:05:42.3240630Z cudagraph partition due to non gpu ops 2025-12-04T09:05:54.1279174Z cudagraph partition due to non gpu ops 2025-12-04T09:05:54.1279509Z cudagraph partition due to non gpu ops 2025-12-04T09:05:54.1280171Z cudagraph partition due to non gpu ops 2025-12-04T09:05:54.1280378Z cudagraph partition due to non gpu ops 2025-12-04T09:05:54.1280570Z cudagraph partition due to non gpu ops 2025-12-04T09:05:54.1280770Z cudagraph partition due to non gpu ops 2025-12-04T09:05:54.1281003Z cudagraph partition due to non gpu ops 2025-12-04T09:05:54.1281198Z cudagraph partition due to non gpu ops 2025-12-04T09:05:54.1281401Z cudagraph partition due to non gpu ops 2025-12-04T09:05:54.1281596Z cudagraph partition due to non gpu ops 2025-12-04T09:05:54.1281783Z cudagraph partition due to non gpu ops 2025-12-04T09:05:54.1282062Z cudagraph partition due to non gpu ops 2025-12-04T09:05:54.1282280Z cudagraph partition due to non gpu ops 2025-12-04T09:05:54.1282480Z cudagraph partition due to non gpu ops 2025-12-04T09:05:54.1282674Z cudagraph partition due to non gpu ops 2025-12-04T09:05:54.1282876Z cudagraph partition due to non gpu ops 2025-12-04T09:05:54.1283448Z cudagraph partition due to non gpu ops 2025-12-04T09:05:54.1283644Z cudagraph partition due to non gpu ops 2025-12-04T09:05:54.1283841Z cudagraph partition due to non gpu ops 2025-12-04T09:05:54.1284040Z cudagraph partition due to non gpu ops 2025-12-04T09:05:54.1284268Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:54.1284721Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward 2025-12-04T09:05:54.1285185Z anchors_over_all_feature_maps = self._grid_anchors(grid_sizes) # pyre-ignore 2025-12-04T09:05:54.1285645Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 175, in _grid_anchors 2025-12-04T09:05:54.1286128Z shifts = torch.stack((shift_x, shift_y, shift_x, shift_y), dim=1) 2025-12-04T09:05:54.1286313Z 2025-12-04T09:05:54.1286420Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:54.1286821Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward 2025-12-04T09:05:54.1287249Z anchors_over_all_feature_maps = self._grid_anchors(grid_sizes) # pyre-ignore 2025-12-04T09:05:54.1287727Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 175, in _grid_anchors 2025-12-04T09:05:54.1288191Z shifts = torch.stack((shift_x, shift_y, shift_x, shift_y), dim=1) 2025-12-04T09:05:54.1288358Z 2025-12-04T09:05:54.1288465Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:54.1288844Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward 2025-12-04T09:05:54.1289328Z anchors_over_all_feature_maps = self._grid_anchors(grid_sizes) # pyre-ignore 2025-12-04T09:05:54.1289768Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 175, in _grid_anchors 2025-12-04T09:05:54.1290176Z shifts = torch.stack((shift_x, shift_y, shift_x, shift_y), dim=1) 2025-12-04T09:05:54.1290339Z 2025-12-04T09:05:54.1290437Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:54.1290820Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward 2025-12-04T09:05:54.1291238Z anchors_over_all_feature_maps = self._grid_anchors(grid_sizes) # pyre-ignore 2025-12-04T09:05:54.1291670Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 175, in _grid_anchors 2025-12-04T09:05:54.1292071Z shifts = torch.stack((shift_x, shift_y, shift_x, shift_y), dim=1) 2025-12-04T09:05:54.1292244Z 2025-12-04T09:05:54.1292341Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:54.1292723Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward 2025-12-04T09:05:54.1293139Z anchors_over_all_feature_maps = self._grid_anchors(grid_sizes) # pyre-ignore 2025-12-04T09:05:54.1293568Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 175, in _grid_anchors 2025-12-04T09:05:54.1293977Z shifts = torch.stack((shift_x, shift_y, shift_x, shift_y), dim=1) 2025-12-04T09:05:54.1294142Z 2025-12-04T09:05:54.1294244Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:54.1294618Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward 2025-12-04T09:05:54.1295036Z anchors_over_all_feature_maps = self._grid_anchors(grid_sizes) # pyre-ignore 2025-12-04T09:05:54.1295471Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 177, in _grid_anchors 2025-12-04T09:05:54.1296010Z anchors.append((shifts.view(-1, 1, 4) + base_anchors.view(1, -1, 4)).reshape(-1, 4)) 2025-12-04T09:05:54.1296212Z 2025-12-04T09:05:54.1296335Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:54.1296724Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward 2025-12-04T09:05:54.1297190Z anchors_over_all_feature_maps = self._grid_anchors(grid_sizes) # pyre-ignore 2025-12-04T09:05:54.1297628Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 177, in _grid_anchors 2025-12-04T09:05:54.1298061Z anchors.append((shifts.view(-1, 1, 4) + base_anchors.view(1, -1, 4)).reshape(-1, 4)) 2025-12-04T09:05:54.1298265Z 2025-12-04T09:05:54.1298364Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:54.1298772Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward 2025-12-04T09:05:54.1299191Z anchors_over_all_feature_maps = self._grid_anchors(grid_sizes) # pyre-ignore 2025-12-04T09:05:54.1299618Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 177, in _grid_anchors 2025-12-04T09:05:54.1300051Z anchors.append((shifts.view(-1, 1, 4) + base_anchors.view(1, -1, 4)).reshape(-1, 4)) 2025-12-04T09:05:54.1300248Z 2025-12-04T09:05:54.1300345Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:54.1300747Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward 2025-12-04T09:05:54.1301160Z anchors_over_all_feature_maps = self._grid_anchors(grid_sizes) # pyre-ignore 2025-12-04T09:05:54.1301619Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 177, in _grid_anchors 2025-12-04T09:05:54.1302063Z anchors.append((shifts.view(-1, 1, 4) + base_anchors.view(1, -1, 4)).reshape(-1, 4)) 2025-12-04T09:05:54.1302255Z 2025-12-04T09:05:54.1302359Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:54.1302731Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward 2025-12-04T09:05:54.1303152Z anchors_over_all_feature_maps = self._grid_anchors(grid_sizes) # pyre-ignore 2025-12-04T09:05:54.1303587Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 177, in _grid_anchors 2025-12-04T09:05:54.1304025Z anchors.append((shifts.view(-1, 1, 4) + base_anchors.view(1, -1, 4)).reshape(-1, 4)) 2025-12-04T09:05:54.1304216Z 2025-12-04T09:05:55.2598569Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:55.2599359Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 212, in _decode_per_level_predictions 2025-12-04T09:05:55.2599824Z keep_idxs = pred_scores > score_thresh 2025-12-04T09:05:55.2599961Z 2025-12-04T09:05:56.1611225Z cudagraph partition due to non gpu ops 2025-12-04T09:05:56.1612900Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:56.1613749Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 223, in torch_dynamo_resume_in__decode_per_level_predictions_at_214 2025-12-04T09:05:56.1614276Z pred_scores, idxs = pred_scores.topk(num_topk) 2025-12-04T09:05:56.1614440Z 2025-12-04T09:05:56.1614557Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:56.1615073Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 224, in torch_dynamo_resume_in__decode_per_level_predictions_at_214 2025-12-04T09:05:56.1615728Z topk_idxs = topk_idxs[idxs] 2025-12-04T09:05:56.1615868Z 2025-12-04T09:05:56.1615980Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:56.1616814Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 228, in torch_dynamo_resume_in__decode_per_level_predictions_at_214 2025-12-04T09:05:56.1617327Z pred_boxes = self.box2box_transform.apply_deltas( 2025-12-04T09:05:56.1617740Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/box_regression.py", line 294, in apply_deltas 2025-12-04T09:05:56.1618189Z strides = torch.stack([stride_w, stride_h, stride_w, stride_h], axis=1) 2025-12-04T09:05:56.1618381Z 2025-12-04T09:05:56.1618481Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:56.1619000Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 223, in torch_dynamo_resume_in__decode_per_level_predictions_at_214 2025-12-04T09:05:56.1619562Z pred_scores, idxs = pred_scores.topk(num_topk) 2025-12-04T09:05:56.1619705Z 2025-12-04T09:05:57.5939586Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:57.5940319Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 212, in _decode_per_level_predictions 2025-12-04T09:05:57.5944793Z keep_idxs = pred_scores > score_thresh 2025-12-04T09:05:57.5947011Z 2025-12-04T09:05:59.6180607Z cudagraph partition due to non gpu ops 2025-12-04T09:05:59.6184980Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:59.6187228Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 223, in torch_dynamo_resume_in__decode_per_level_predictions_at_214 2025-12-04T09:05:59.6190857Z pred_scores, idxs = pred_scores.topk(num_topk) 2025-12-04T09:05:59.6192547Z 2025-12-04T09:05:59.6192959Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:59.6194535Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 224, in torch_dynamo_resume_in__decode_per_level_predictions_at_214 2025-12-04T09:05:59.6195099Z topk_idxs = topk_idxs[idxs] 2025-12-04T09:05:59.6195244Z 2025-12-04T09:05:59.6195356Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:59.6195886Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 228, in torch_dynamo_resume_in__decode_per_level_predictions_at_214 2025-12-04T09:05:59.6196404Z pred_boxes = self.box2box_transform.apply_deltas( 2025-12-04T09:05:59.6196796Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/box_regression.py", line 294, in apply_deltas 2025-12-04T09:05:59.6197233Z strides = torch.stack([stride_w, stride_h, stride_w, stride_h], axis=1) 2025-12-04T09:05:59.6197416Z 2025-12-04T09:05:59.6197546Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:05:59.6198049Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 223, in torch_dynamo_resume_in__decode_per_level_predictions_at_214 2025-12-04T09:05:59.6198538Z pred_scores, idxs = pred_scores.topk(num_topk) 2025-12-04T09:05:59.6198690Z 2025-12-04T09:06:01.7817921Z cudagraph partition due to non gpu ops 2025-12-04T09:06:01.7821582Z cudagraph partition due to non gpu ops 2025-12-04T09:06:01.7821843Z cudagraph partition due to non gpu ops 2025-12-04T09:06:01.7822115Z cudagraph partition due to non gpu ops 2025-12-04T09:06:01.7822447Z cudagraph partition due to non gpu ops 2025-12-04T09:06:01.7822710Z cudagraph partition due to non gpu ops 2025-12-04T09:06:01.7822909Z cudagraph partition due to non gpu ops 2025-12-04T09:06:01.7823104Z cudagraph partition due to non gpu ops 2025-12-04T09:06:01.7823291Z cudagraph partition due to non gpu ops 2025-12-04T09:06:01.7823496Z cudagraph partition due to non gpu ops 2025-12-04T09:06:01.7823697Z cudagraph partition due to non gpu ops 2025-12-04T09:06:01.7823886Z cudagraph partition due to non gpu ops 2025-12-04T09:06:01.7824082Z cudagraph partition due to non gpu ops 2025-12-04T09:06:01.7824278Z cudagraph partition due to non gpu ops 2025-12-04T09:06:01.7824767Z cudagraph partition due to non gpu ops 2025-12-04T09:06:01.7825014Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:01.7825577Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 259, in torch_dynamo_resume_in__decode_multi_level_predictions_at_247 2025-12-04T09:06:01.7826165Z return predictions[0].cat(predictions) # 'Instances.cat' is not scriptale but this is 2025-12-04T09:06:01.7826599Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/instances.py", line 176, in cat 2025-12-04T09:06:01.7826955Z values = torch.cat(values, dim=0) 2025-12-04T09:06:01.7827150Z 2025-12-04T09:06:01.7827257Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:01.7827769Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 259, in torch_dynamo_resume_in__decode_multi_level_predictions_at_247 2025-12-04T09:06:01.7828318Z return predictions[0].cat(predictions) # 'Instances.cat' is not scriptale but this is 2025-12-04T09:06:01.7828741Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/instances.py", line 176, in cat 2025-12-04T09:06:01.7829077Z values = torch.cat(values, dim=0) 2025-12-04T09:06:01.7829265Z 2025-12-04T09:06:01.7829371Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:01.7829871Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 259, in torch_dynamo_resume_in__decode_multi_level_predictions_at_247 2025-12-04T09:06:01.7830506Z return predictions[0].cat(predictions) # 'Instances.cat' is not scriptale but this is 2025-12-04T09:06:01.7830930Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/instances.py", line 180, in cat 2025-12-04T09:06:01.7831269Z values = type(v0).cat(values) 2025-12-04T09:06:01.7831587Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 295, in cat 2025-12-04T09:06:01.7831963Z cat_boxes = cls(torch.cat([b.tensor for b in boxes_list], dim=0)) 2025-12-04T09:06:01.7832132Z 2025-12-04T09:06:02.9802437Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:02.9802948Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/boxes.py", line 114, in _batched_nms_vanilla 2025-12-04T09:06:02.9803383Z keep_mask = torch.zeros_like(scores, dtype=torch.bool) 2025-12-04T09:06:02.9803555Z 2025-12-04T09:06:03.3806439Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:03.3807388Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 300, in torch_dynamo_resume_in_inference_single_image_at_297 2025-12-04T09:06:03.3807950Z return pred[keep[: self.max_detections_per_image]] 2025-12-04T09:06:03.3808429Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/instances.py", line 141, in __getitem__ 2025-12-04T09:06:03.3808843Z ret.set(k, v[item]) 2025-12-04T09:06:03.3809228Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 235, in __getitem__ 2025-12-04T09:06:03.3809632Z b = self.tensor[item] 2025-12-04T09:06:03.3809769Z 2025-12-04T09:06:05.6770851Z cudagraph partition due to non gpu ops 2025-12-04T09:06:05.6775412Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:05.6776187Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 223, in torch_dynamo_resume_in__decode_per_level_predictions_at_214 2025-12-04T09:06:05.6776741Z pred_scores, idxs = pred_scores.topk(num_topk) 2025-12-04T09:06:05.6776929Z 2025-12-04T09:06:05.6777035Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:05.6777874Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 224, in torch_dynamo_resume_in__decode_per_level_predictions_at_214 2025-12-04T09:06:05.6778368Z topk_idxs = topk_idxs[idxs] 2025-12-04T09:06:05.6778486Z 2025-12-04T09:06:05.6778595Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:05.6779104Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 228, in torch_dynamo_resume_in__decode_per_level_predictions_at_214 2025-12-04T09:06:05.6779625Z pred_boxes = self.box2box_transform.apply_deltas( 2025-12-04T09:06:05.6780029Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/box_regression.py", line 294, in apply_deltas 2025-12-04T09:06:05.6780525Z strides = torch.stack([stride_w, stride_h, stride_w, stride_h], axis=1) 2025-12-04T09:06:05.6780713Z 2025-12-04T09:06:05.6780813Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:05.6781312Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 223, in torch_dynamo_resume_in__decode_per_level_predictions_at_214 2025-12-04T09:06:05.6781796Z pred_scores, idxs = pred_scores.topk(num_topk) 2025-12-04T09:06:05.6781938Z 2025-12-04T09:06:07.0775241Z cudagraph partition due to non gpu ops 2025-12-04T09:06:07.0775872Z cudagraph partition due to non gpu ops 2025-12-04T09:06:07.0778052Z cudagraph partition due to non gpu ops 2025-12-04T09:06:07.0778337Z cudagraph partition due to non gpu ops 2025-12-04T09:06:07.0778611Z cudagraph partition due to non gpu ops 2025-12-04T09:06:07.0778840Z cudagraph partition due to non gpu ops 2025-12-04T09:06:07.0779111Z cudagraph partition due to non gpu ops 2025-12-04T09:06:07.0779450Z cudagraph partition due to non gpu ops 2025-12-04T09:06:07.0779710Z cudagraph partition due to non gpu ops 2025-12-04T09:06:07.0783042Z cudagraph partition due to non gpu ops 2025-12-04T09:06:07.0783313Z cudagraph partition due to non gpu ops 2025-12-04T09:06:07.0783971Z cudagraph partition due to non gpu ops 2025-12-04T09:06:07.0784332Z cudagraph partition due to non gpu ops 2025-12-04T09:06:07.0788685Z cudagraph partition due to non gpu ops 2025-12-04T09:06:07.0792507Z cudagraph partition due to non gpu ops 2025-12-04T09:06:07.0796547Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.0798578Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 259, in torch_dynamo_resume_in__decode_multi_level_predictions_at_247 2025-12-04T09:06:07.0799192Z return predictions[0].cat(predictions) # 'Instances.cat' is not scriptale but this is 2025-12-04T09:06:07.0799643Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/instances.py", line 176, in cat 2025-12-04T09:06:07.0800000Z values = torch.cat(values, dim=0) 2025-12-04T09:06:07.0800132Z 2025-12-04T09:06:07.0800239Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.0800759Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 259, in torch_dynamo_resume_in__decode_multi_level_predictions_at_247 2025-12-04T09:06:07.0801313Z return predictions[0].cat(predictions) # 'Instances.cat' is not scriptale but this is 2025-12-04T09:06:07.0801735Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/instances.py", line 176, in cat 2025-12-04T09:06:07.0802194Z values = torch.cat(values, dim=0) 2025-12-04T09:06:07.0802329Z 2025-12-04T09:06:07.0802433Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.0802966Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 259, in torch_dynamo_resume_in__decode_multi_level_predictions_at_247 2025-12-04T09:06:07.0803535Z return predictions[0].cat(predictions) # 'Instances.cat' is not scriptale but this is 2025-12-04T09:06:07.0804174Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/instances.py", line 180, in cat 2025-12-04T09:06:07.0804521Z values = type(v0).cat(values) 2025-12-04T09:06:07.0804846Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 295, in cat 2025-12-04T09:06:07.0805213Z cat_boxes = cls(torch.cat([b.tensor for b in boxes_list], dim=0)) 2025-12-04T09:06:07.0805395Z 2025-12-04T09:06:08.1577875Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:08.1580769Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 300, in torch_dynamo_resume_in_inference_single_image_at_297 2025-12-04T09:06:08.1581830Z return pred[keep[: self.max_detections_per_image]] 2025-12-04T09:06:08.1588515Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/instances.py", line 141, in __getitem__ 2025-12-04T09:06:08.1592922Z ret.set(k, v[item]) 2025-12-04T09:06:08.1594969Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 235, in __getitem__ 2025-12-04T09:06:08.1595486Z b = self.tensor[item] 2025-12-04T09:06:08.1599869Z 2025-12-04T09:06:10.0042390Z cudagraph partition due to non gpu ops 2025-12-04T09:06:10.0042819Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:10.0043751Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess 2025-12-04T09:06:10.0044233Z output_boxes.clip(results.image_size) 2025-12-04T09:06:10.0044637Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip 2025-12-04T09:06:10.0045215Z assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!" 2025-12-04T09:06:10.0045482Z 2025-12-04T09:06:10.0045578Z cudagraph partition due to non gpu ops 2025-12-04T09:06:10.0045816Z cudagraph partition due to non gpu ops 2025-12-04T09:06:10.0046083Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:10.0046572Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess 2025-12-04T09:06:10.0047060Z output_boxes.clip(results.image_size) 2025-12-04T09:06:10.0047441Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip 2025-12-04T09:06:10.0047872Z self.tensor = torch.stack((x1, y1, x2, y2), dim=-1) 2025-12-04T09:06:10.0048052Z 2025-12-04T09:06:10.0048175Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:10.0048682Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 58, in detector_postprocess 2025-12-04T09:06:10.0049149Z results = results[output_boxes.nonempty()] 2025-12-04T09:06:10.0049573Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 212, in nonempty 2025-12-04T09:06:10.0049959Z keep = (widths > threshold) & (heights > threshold) 2025-12-04T09:06:10.0050106Z 2025-12-04T09:06:11.3060203Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:11.3061671Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 58, in detector_postprocess 2025-12-04T09:06:11.3062223Z results = results[output_boxes.nonempty()] 2025-12-04T09:06:11.3064891Z 2025-12-04T09:06:11.3065210Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:11.3065909Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 58, in detector_postprocess 2025-12-04T09:06:11.3070625Z results = results[output_boxes.nonempty()] 2025-12-04T09:06:11.3072205Z 2025-12-04T09:06:11.3072455Z cudagraph partition due to non gpu ops 2025-12-04T09:06:11.3072733Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:11.3073649Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess 2025-12-04T09:06:11.3074082Z output_boxes.clip(results.image_size) 2025-12-04T09:06:11.3078197Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip 2025-12-04T09:06:11.3078839Z assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!" 2025-12-04T09:06:11.3079068Z 2025-12-04T09:06:11.3079312Z cudagraph partition due to non gpu ops 2025-12-04T09:06:11.3079531Z cudagraph partition due to non gpu ops 2025-12-04T09:06:11.3079780Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:11.3080425Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess 2025-12-04T09:06:11.3080839Z output_boxes.clip(results.image_size) 2025-12-04T09:06:11.3081193Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip 2025-12-04T09:06:11.3081554Z self.tensor = torch.stack((x1, y1, x2, y2), dim=-1) 2025-12-04T09:06:11.3081717Z 2025-12-04T09:06:11.3081831Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:11.3082712Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 58, in detector_postprocess 2025-12-04T09:06:11.3083484Z results = results[output_boxes.nonempty()] 2025-12-04T09:06:11.3084143Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 212, in nonempty 2025-12-04T09:06:11.3084537Z keep = (widths > threshold) & (heights > threshold) 2025-12-04T09:06:11.3084691Z 2025-12-04T09:06:12.2420900Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:12.2421511Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 58, in detector_postprocess 2025-12-04T09:06:12.2421945Z results = results[output_boxes.nonempty()] 2025-12-04T09:06:12.2422090Z 2025-12-04T09:06:12.2422197Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:12.2422628Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 58, in detector_postprocess 2025-12-04T09:06:12.2423035Z results = results[output_boxes.nonempty()] 2025-12-04T09:06:12.2423178Z 2025-12-04T09:06:12.2423260Z cudagraph partition due to non gpu ops 2025-12-04T09:06:12.2423490Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:12.2423906Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess 2025-12-04T09:06:12.2424314Z output_boxes.clip(results.image_size) 2025-12-04T09:06:12.2424653Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip 2025-12-04T09:06:12.2425071Z assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!" 2025-12-04T09:06:12.2425272Z 2025-12-04T09:06:12.2425356Z cudagraph partition due to non gpu ops 2025-12-04T09:06:12.2425560Z cudagraph partition due to non gpu ops 2025-12-04T09:06:12.2425777Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:12.2426192Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess 2025-12-04T09:06:12.2426584Z output_boxes.clip(results.image_size) 2025-12-04T09:06:12.2426916Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip 2025-12-04T09:06:12.2427281Z self.tensor = torch.stack((x1, y1, x2, y2), dim=-1) 2025-12-04T09:06:12.2427436Z 2025-12-04T09:06:12.2427532Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:12.2427940Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 58, in detector_postprocess 2025-12-04T09:06:12.2428396Z results = results[output_boxes.nonempty()] 2025-12-04T09:06:12.2428753Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 212, in nonempty 2025-12-04T09:06:12.2429121Z keep = (widths > threshold) & (heights > threshold) 2025-12-04T09:06:12.2429267Z 2025-12-04T09:06:16.6582256Z Compilation time (from dynamo_timed): 50.126563999 2025-12-04T09:06:16.6582542Z pass 2025-12-04T09:06:16.6582823Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:06:16.6583595Z TIMING: gc:0.02392 entire_frame_compile:50.12656 _recursive_pre_grad_passes:0.02236 _recursive_joint_graph_passes:0.3262 _recursive_post_grad_passes:0.49308 async_compile.wait:6.98756 code_gen:22.24167 inductor_compile:27.33041 backend_compile:35.59713 total_wall_time:50.12656 2025-12-04T09:06:16.6584761Z STATS: call_* op count: 971 | FakeTensorMode.__torch_dispatch__:20094 | FakeTensor.__torch_dispatch__:12386 | ProxyTorchDispatchMode.__torch_dispatch__:5851 | attempt fast:51 | slow no contiguity match:40 | fast is_contiguous:11 2025-12-04T09:06:16.6585360Z Dynamo produced 29 graphs covering 971 ops with 24 graph breaks (4 unique) 2025-12-04T09:06:19.7283284Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-12-04T09:06:19.7284427Z import pynvml # type: ignore[import] 2025-12-04T09:06:21.6905327Z 2025-12-04T09:06:30.3328094Z loading model: 0it [00:00, ?it/s]W1204 09:06:30.331000 8096 site-packages/torch/fx/_symbolic_trace.py:53] is_fx_tracing will return true for both fx.symbolic_trace and torch.export. Please use is_fx_tracing_symbolic_tracing() for specifically fx.symbolic_trace or torch.compiler.is_compiling() for specifically torch.export/compile. 2025-12-04T09:06:45.0296693Z 2025-12-04T09:06:45.0300378Z loading model: 0it [00:23, ?it/s] 2025-12-04T09:06:45.0318265Z cpu eval detectron2_maskrcnn_r_101_c4 2025-12-04T09:06:58.2129570Z WARNING:common:fp64 golden ref were not generated for detectron2_maskrcnn_r_101_c4. Setting accuracy check to cosine 2025-12-04T09:06:58.2299876Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:07:37.8459190Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:08:17.8353801Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:08:45.5332937Z cudagraph partition due to non gpu ops 2025-12-04T09:08:45.5333343Z cudagraph partition due to non gpu ops 2025-12-04T09:08:45.5333574Z cudagraph partition due to non gpu ops 2025-12-04T09:08:45.5333809Z cudagraph partition due to non gpu ops 2025-12-04T09:08:45.5334092Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:45.5334660Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 97, in convert_boxes_to_pooler_format 2025-12-04T09:08:45.5335169Z sizes = shapes_to_tensor([x.__len__() for x in box_lists]) 2025-12-04T09:08:45.5335671Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 39, in shapes_to_tensor 2025-12-04T09:08:45.5336107Z return torch.as_tensor(x, device=device) 2025-12-04T09:08:45.5336266Z 2025-12-04T09:08:45.5336372Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:45.5336797Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 95, in convert_boxes_to_pooler_format 2025-12-04T09:08:45.5337224Z boxes = torch.cat([x.tensor for x in box_lists], dim=0) 2025-12-04T09:08:45.5337379Z 2025-12-04T09:08:46.8785324Z cudagraph partition due to non gpu ops 2025-12-04T09:08:46.8787603Z cudagraph partition due to non gpu ops 2025-12-04T09:08:46.8788028Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:46.8792664Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 69, in torch_dynamo_resume_in__convert_boxes_to_pooler_format_at_66 2025-12-04T09:08:46.8796880Z return cat([indices[:, None], boxes], dim=1) 2025-12-04T09:08:46.8799442Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 72, in cat 2025-12-04T09:08:46.8801617Z return torch.cat(tensors, dim) 2025-12-04T09:08:46.8801926Z 2025-12-04T09:08:47.4790686Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:47.4795334Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 246, in torch_dynamo_resume_in_forward_at_243 2025-12-04T09:08:47.4796944Z return self.level_poolers[0](x[0], pooler_fmt_boxes) 2025-12-04T09:08:47.4797425Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward 2025-12-04T09:08:47.4801090Z return roi_align( 2025-12-04T09:08:47.4803799Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align 2025-12-04T09:08:47.4804184Z return torch.ops.torchvision.roi_align( 2025-12-04T09:08:47.4804553Z 2025-12-04T09:08:47.4804661Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:47.4805150Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 246, in torch_dynamo_resume_in_forward_at_243 2025-12-04T09:08:47.4805598Z return self.level_poolers[0](x[0], pooler_fmt_boxes) 2025-12-04T09:08:47.4806068Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward 2025-12-04T09:08:47.4806410Z return roi_align( 2025-12-04T09:08:47.4806733Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align 2025-12-04T09:08:47.4807091Z return torch.ops.torchvision.roi_align( 2025-12-04T09:08:47.4807240Z 2025-12-04T09:08:50.8518731Z cudagraph partition due to non gpu ops 2025-12-04T09:08:50.8519060Z cudagraph partition due to non gpu ops 2025-12-04T09:08:50.8519268Z cudagraph partition due to non gpu ops 2025-12-04T09:08:50.8519547Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:50.8520092Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T09:08:50.8520618Z return self.res5(x) 2025-12-04T09:08:50.8521011Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:08:50.8521390Z out = self.conv1(x) 2025-12-04T09:08:50.8521704Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:08:50.8522186Z x = F.conv2d( 2025-12-04T09:08:50.8522288Z 2025-12-04T09:08:50.8522402Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:50.8522911Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T09:08:50.8523356Z return self.res5(x) 2025-12-04T09:08:50.8523693Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:08:50.8524040Z out = F.relu_(out) 2025-12-04T09:08:50.8524137Z 2025-12-04T09:08:50.8524236Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:50.8524704Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T09:08:50.8525130Z return self.res5(x) 2025-12-04T09:08:50.8525731Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:08:50.8526105Z out = self.conv2(out) 2025-12-04T09:08:50.8526423Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:08:50.8526750Z x = F.conv2d( 2025-12-04T09:08:50.8526840Z 2025-12-04T09:08:50.8526937Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:50.8527407Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T09:08:50.8527831Z return self.res5(x) 2025-12-04T09:08:50.8528218Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:08:50.8528553Z out = F.relu_(out) 2025-12-04T09:08:50.8528655Z 2025-12-04T09:08:50.8528752Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:50.8529217Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T09:08:50.8529646Z return self.res5(x) 2025-12-04T09:08:50.8529962Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:08:50.8530356Z out = self.conv3(out) 2025-12-04T09:08:50.8530668Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:08:50.8530984Z x = F.conv2d( 2025-12-04T09:08:50.8531077Z 2025-12-04T09:08:50.8531227Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:50.8531691Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T09:08:50.8532116Z return self.res5(x) 2025-12-04T09:08:50.8532436Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward 2025-12-04T09:08:50.8532788Z shortcut = self.shortcut(x) 2025-12-04T09:08:50.8533113Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:08:50.8533430Z x = F.conv2d( 2025-12-04T09:08:50.8533523Z 2025-12-04T09:08:50.8533619Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:50.8534080Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T09:08:50.8534507Z return self.res5(x) 2025-12-04T09:08:50.8534825Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:08:50.8535173Z out = self.conv1(x) 2025-12-04T09:08:50.8535478Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:08:50.8535796Z x = F.conv2d( 2025-12-04T09:08:50.8535881Z 2025-12-04T09:08:50.8535977Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:50.8536436Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T09:08:50.8536860Z return self.res5(x) 2025-12-04T09:08:50.8537178Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:08:50.8537523Z out = F.relu_(out) 2025-12-04T09:08:50.8537625Z 2025-12-04T09:08:50.8537721Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:50.8538181Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T09:08:50.8538623Z return self.res5(x) 2025-12-04T09:08:50.8538950Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:08:50.8539297Z out = self.conv2(out) 2025-12-04T09:08:50.8539607Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:08:50.8539923Z x = F.conv2d( 2025-12-04T09:08:50.8540014Z 2025-12-04T09:08:50.8540110Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:50.8540574Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T09:08:50.8541009Z return self.res5(x) 2025-12-04T09:08:50.8541330Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:08:50.8541672Z out = F.relu_(out) 2025-12-04T09:08:50.8541767Z 2025-12-04T09:08:50.8541869Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:50.8542321Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T09:08:50.8542745Z return self.res5(x) 2025-12-04T09:08:50.8543089Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:08:50.8543437Z out = self.conv3(out) 2025-12-04T09:08:50.8543756Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:08:50.8544099Z x = F.conv2d( 2025-12-04T09:08:50.8544183Z 2025-12-04T09:08:50.8544285Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:50.8544746Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T09:08:50.8545157Z return self.res5(x) 2025-12-04T09:08:50.8545474Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:08:50.8545813Z out = F.relu_(out) 2025-12-04T09:08:50.8545905Z 2025-12-04T09:08:50.8546000Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:50.8546453Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T09:08:50.8546872Z return self.res5(x) 2025-12-04T09:08:50.8547194Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:08:50.8547528Z out = self.conv1(x) 2025-12-04T09:08:50.8547826Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:08:50.8548148Z x = F.conv2d( 2025-12-04T09:08:50.8548232Z 2025-12-04T09:08:50.8548334Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:50.8548784Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T09:08:50.8549207Z return self.res5(x) 2025-12-04T09:08:50.8549529Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:08:50.8549866Z out = F.relu_(out) 2025-12-04T09:08:50.8549966Z 2025-12-04T09:08:50.8550060Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:50.8550522Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T09:08:50.8550945Z return self.res5(x) 2025-12-04T09:08:50.8551281Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:08:50.8551635Z out = self.conv2(out) 2025-12-04T09:08:50.8551946Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:08:50.8552266Z x = F.conv2d( 2025-12-04T09:08:50.8552351Z 2025-12-04T09:08:50.8552447Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:50.8552906Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T09:08:50.8553335Z return self.res5(x) 2025-12-04T09:08:50.8553670Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:08:50.8554011Z out = F.relu_(out) 2025-12-04T09:08:50.8554110Z 2025-12-04T09:08:50.8554206Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:50.8554661Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T09:08:50.8555130Z return self.res5(x) 2025-12-04T09:08:50.8555456Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:08:50.8555820Z out = self.conv3(out) 2025-12-04T09:08:50.8556205Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:08:50.8556519Z x = F.conv2d( 2025-12-04T09:08:50.8556611Z 2025-12-04T09:08:50.8556725Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:50.8557191Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T09:08:50.8557617Z return self.res5(x) 2025-12-04T09:08:50.8557949Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:08:50.8558295Z out = F.relu_(out) 2025-12-04T09:08:50.8558391Z 2025-12-04T09:09:00.7022224Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:09:00.7023251Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 480, in torch_dynamo_resume_in_forward_at_477 2025-12-04T09:09:00.7023884Z predictions = self.box_predictor(box_features.mean(dim=[2, 3])) 2025-12-04T09:09:00.7024764Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 303, in forward 2025-12-04T09:09:00.7025305Z scores = self.cls_score(x) 2025-12-04T09:09:00.7025751Z 2025-12-04T09:09:00.7026299Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:09:00.7026864Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 480, in torch_dynamo_resume_in_forward_at_477 2025-12-04T09:09:00.7027368Z predictions = self.box_predictor(box_features.mean(dim=[2, 3])) 2025-12-04T09:09:00.7027793Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 304, in forward 2025-12-04T09:09:00.7028182Z proposal_deltas = self.bbox_pred(x) 2025-12-04T09:09:00.7028316Z 2025-12-04T09:09:02.3976663Z cudagraph partition due to non gpu ops 2025-12-04T09:09:02.3977070Z cudagraph partition due to non gpu ops 2025-12-04T09:09:02.3980018Z cudagraph partition due to non gpu ops 2025-12-04T09:09:02.3980298Z cudagraph partition due to non gpu ops 2025-12-04T09:09:02.3980649Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:09:02.3981110Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 476, in inference 2025-12-04T09:09:02.3981799Z boxes = self.predict_boxes(predictions, proposals) 2025-12-04T09:09:02.3985511Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 542, in predict_boxes 2025-12-04T09:09:02.3986514Z proposal_boxes = cat([p.proposal_boxes.tensor for p in proposals], dim=0) 2025-12-04T09:09:02.3986941Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 72, in cat 2025-12-04T09:09:02.3987320Z return torch.cat(tensors, dim) 2025-12-04T09:09:02.3987451Z 2025-12-04T09:09:02.3987564Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:09:02.3987990Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 476, in inference 2025-12-04T09:09:02.3989340Z boxes = self.predict_boxes(predictions, proposals) 2025-12-04T09:09:02.3989750Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 543, in predict_boxes 2025-12-04T09:09:02.3990185Z predict_boxes = self.box2box_transform.apply_deltas( 2025-12-04T09:09:02.3990592Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/box_regression.py", line 115, in apply_deltas 2025-12-04T09:09:02.3990984Z pred_boxes = torch.stack((x1, y1, x2, y2), dim=-1) 2025-12-04T09:09:02.3991128Z 2025-12-04T09:09:04.8097988Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:09:04.8098630Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 165, in torch_dynamo_resume_in_fast_rcnn_inference_single_image_at_162 2025-12-04T09:09:04.8099179Z boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep] 2025-12-04T09:09:04.8099720Z 2025-12-04T09:09:04.8099834Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:09:04.8100359Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 165, in torch_dynamo_resume_in_fast_rcnn_inference_single_image_at_162 2025-12-04T09:09:04.8100889Z boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep] 2025-12-04T09:09:04.8101076Z 2025-12-04T09:09:04.8101185Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:09:04.8101676Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 165, in torch_dynamo_resume_in_fast_rcnn_inference_single_image_at_162 2025-12-04T09:09:04.8102209Z boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep] 2025-12-04T09:09:04.8102388Z 2025-12-04T09:09:09.5691183Z cudagraph partition due to non gpu ops 2025-12-04T09:09:09.5691743Z cudagraph partition due to non gpu ops 2025-12-04T09:09:09.5696315Z cudagraph partition due to non gpu ops 2025-12-04T09:09:09.5698543Z cudagraph partition due to non gpu ops 2025-12-04T09:09:09.5698921Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:09:09.5704088Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 97, in convert_boxes_to_pooler_format 2025-12-04T09:09:09.5705227Z sizes = shapes_to_tensor([x.__len__() for x in box_lists]) 2025-12-04T09:09:09.5705711Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 39, in shapes_to_tensor 2025-12-04T09:09:09.5710053Z return torch.as_tensor(x, device=device) 2025-12-04T09:09:09.5711716Z 2025-12-04T09:09:09.5712111Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:09:09.5712673Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 95, in convert_boxes_to_pooler_format 2025-12-04T09:09:09.5716909Z boxes = torch.cat([x.tensor for x in box_lists], dim=0) 2025-12-04T09:09:09.5717111Z 2025-12-04T09:09:10.2966549Z cudagraph partition due to non gpu ops 2025-12-04T09:09:10.2970942Z cudagraph partition due to non gpu ops 2025-12-04T09:09:10.2973418Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:09:10.2974226Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 69, in torch_dynamo_resume_in__convert_boxes_to_pooler_format_at_66 2025-12-04T09:09:10.2979141Z return cat([indices[:, None], boxes], dim=1) 2025-12-04T09:09:10.2984226Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 72, in cat 2025-12-04T09:09:10.2985943Z return torch.cat(tensors, dim) 2025-12-04T09:09:10.2986257Z 2025-12-04T09:09:10.8815354Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:09:10.8818213Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 246, in torch_dynamo_resume_in_forward_at_243 2025-12-04T09:09:10.8819167Z return self.level_poolers[0](x[0], pooler_fmt_boxes) 2025-12-04T09:09:10.8819676Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward 2025-12-04T09:09:10.8820041Z return roi_align( 2025-12-04T09:09:10.8820953Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align 2025-12-04T09:09:10.8821508Z return torch.ops.torchvision.roi_align( 2025-12-04T09:09:10.8821778Z 2025-12-04T09:09:10.8822051Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:09:10.8822725Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 246, in torch_dynamo_resume_in_forward_at_243 2025-12-04T09:09:10.8823185Z return self.level_poolers[0](x[0], pooler_fmt_boxes) 2025-12-04T09:09:10.8823621Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward 2025-12-04T09:09:10.8823967Z return roi_align( 2025-12-04T09:09:10.8824275Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align 2025-12-04T09:09:10.8824630Z return torch.ops.torchvision.roi_align( 2025-12-04T09:09:10.8824768Z 2025-12-04T09:09:12.5856944Z cudagraph partition due to non gpu ops 2025-12-04T09:09:12.5857251Z cudagraph partition due to non gpu ops 2025-12-04T09:09:12.5857454Z cudagraph partition due to non gpu ops 2025-12-04T09:09:12.5857712Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:09:12.5858291Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T09:09:12.5858755Z return self.res5(x) 2025-12-04T09:09:12.5859113Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:09:12.5859501Z out = self.conv1(x) 2025-12-04T09:09:12.5859835Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:09:12.5860163Z x = F.conv2d( 2025-12-04T09:09:12.5860272Z 2025-12-04T09:09:12.5860379Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:09:12.5860869Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T09:09:12.5861314Z return self.res5(x) 2025-12-04T09:09:12.5861651Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:09:12.5862013Z out = F.relu_(out) 2025-12-04T09:09:12.5862113Z 2025-12-04T09:09:12.5862219Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:09:12.5862698Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T09:09:12.5863146Z return self.res5(x) 2025-12-04T09:09:12.5863787Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:09:12.5864166Z out = self.conv2(out) 2025-12-04T09:09:12.5864492Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:09:12.5864831Z x = F.conv2d( 2025-12-04T09:09:12.5864924Z 2025-12-04T09:09:12.5865122Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:09:12.5865661Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T09:09:12.5866101Z return self.res5(x) 2025-12-04T09:09:12.5866430Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:09:12.5866913Z out = F.relu_(out) 2025-12-04T09:09:12.5867014Z 2025-12-04T09:09:12.5867121Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:09:12.5867590Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T09:09:12.5868016Z return self.res5(x) 2025-12-04T09:09:12.5868346Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:09:12.5868751Z out = self.conv3(out) 2025-12-04T09:09:12.5869060Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:09:12.5869386Z x = F.conv2d( 2025-12-04T09:09:12.5869472Z 2025-12-04T09:09:12.5869576Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:09:12.5870090Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T09:09:12.5870509Z return self.res5(x) 2025-12-04T09:09:12.5870835Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward 2025-12-04T09:09:12.5871189Z shortcut = self.shortcut(x) 2025-12-04T09:09:12.5871506Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:09:12.5871827Z x = F.conv2d( 2025-12-04T09:09:12.5871921Z 2025-12-04T09:09:12.5872016Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:09:12.5872475Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T09:09:12.5872889Z return self.res5(x) 2025-12-04T09:09:12.5873216Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:09:12.5873560Z out = self.conv1(x) 2025-12-04T09:09:12.5873860Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:09:12.5874172Z x = F.conv2d( 2025-12-04T09:09:12.5874264Z 2025-12-04T09:09:12.5874360Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:09:12.5874817Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T09:09:12.5875236Z return self.res5(x) 2025-12-04T09:09:12.5875560Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:09:12.5875900Z out = F.relu_(out) 2025-12-04T09:09:12.5875995Z 2025-12-04T09:09:12.5876098Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:09:12.5876552Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T09:09:12.5876976Z return self.res5(x) 2025-12-04T09:09:12.5877321Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:09:12.5877672Z out = self.conv2(out) 2025-12-04T09:09:12.5877973Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:09:12.5878296Z x = F.conv2d( 2025-12-04T09:09:12.5878381Z 2025-12-04T09:09:12.5878484Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:09:12.5878936Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T09:09:12.5879389Z return self.res5(x) 2025-12-04T09:09:12.5879713Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:09:12.5880060Z out = F.relu_(out) 2025-12-04T09:09:12.5880153Z 2025-12-04T09:09:12.5880250Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:09:12.5880713Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T09:09:12.5881141Z return self.res5(x) 2025-12-04T09:09:12.5881463Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:09:12.5881956Z out = self.conv3(out) 2025-12-04T09:09:12.5882299Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:09:12.5882638Z x = F.conv2d( 2025-12-04T09:09:12.5882730Z 2025-12-04T09:09:12.5882855Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:09:12.5883342Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T09:09:12.5883789Z return self.res5(x) 2025-12-04T09:09:12.5884129Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:09:12.5884481Z out = F.relu_(out) 2025-12-04T09:09:12.5884590Z 2025-12-04T09:09:12.5884689Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:09:12.5885173Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T09:09:12.5885619Z return self.res5(x) 2025-12-04T09:09:12.5885956Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:09:12.5886316Z out = self.conv1(x) 2025-12-04T09:09:12.5886635Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:09:12.5886964Z x = F.conv2d( 2025-12-04T09:09:12.5887063Z 2025-12-04T09:09:12.5887164Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:09:12.5887644Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T09:09:12.5888085Z return self.res5(x) 2025-12-04T09:09:12.5888420Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:09:12.5888778Z out = F.relu_(out) 2025-12-04T09:09:12.5888878Z 2025-12-04T09:09:12.5888985Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:09:12.5889465Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T09:09:12.5889902Z return self.res5(x) 2025-12-04T09:09:12.5890259Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:09:12.5890626Z out = self.conv2(out) 2025-12-04T09:09:12.5890942Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:09:12.5891283Z x = F.conv2d( 2025-12-04T09:09:12.5891369Z 2025-12-04T09:09:12.5891475Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:09:12.5891929Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T09:09:12.5892344Z return self.res5(x) 2025-12-04T09:09:12.5892667Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:09:12.5893029Z out = F.relu_(out) 2025-12-04T09:09:12.5893122Z 2025-12-04T09:09:12.5893217Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:09:12.5893679Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T09:09:12.5894101Z return self.res5(x) 2025-12-04T09:09:12.5894424Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:09:12.5894779Z out = self.conv3(out) 2025-12-04T09:09:12.5895088Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:09:12.5895405Z x = F.conv2d( 2025-12-04T09:09:12.5895488Z 2025-12-04T09:09:12.5895591Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:09:12.5896060Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T09:09:12.5896486Z return self.res5(x) 2025-12-04T09:09:12.5896810Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:09:12.5897147Z out = F.relu_(out) 2025-12-04T09:09:12.5897245Z 2025-12-04T09:09:15.4502291Z cudagraph partition due to non gpu ops 2025-12-04T09:09:15.4502647Z cudagraph partition due to non gpu ops 2025-12-04T09:09:15.4502898Z cudagraph partition due to non gpu ops 2025-12-04T09:09:15.4503177Z cudagraph partition due to non gpu ops 2025-12-04T09:09:15.4503412Z cudagraph partition due to non gpu ops 2025-12-04T09:09:15.4503660Z cudagraph partition due to non gpu ops 2025-12-04T09:09:15.4503930Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:09:15.4504553Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 524, in torch_dynamo_resume_in_forward_with_given_boxes_at_523 2025-12-04T09:09:15.4505095Z return self.mask_head(x, instances) 2025-12-04T09:09:15.4505548Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 197, in forward 2025-12-04T09:09:15.4505984Z x = self.layers(x) 2025-12-04T09:09:15.4506364Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 289, in layers 2025-12-04T09:09:15.4506771Z x = layer(x) 2025-12-04T09:09:15.4506878Z 2025-12-04T09:09:15.4506993Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:09:15.4507496Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 524, in torch_dynamo_resume_in_forward_with_given_boxes_at_523 2025-12-04T09:09:15.4507943Z return self.mask_head(x, instances) 2025-12-04T09:09:15.4508312Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 197, in forward 2025-12-04T09:09:15.4508658Z x = self.layers(x) 2025-12-04T09:09:15.4509296Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 289, in layers 2025-12-04T09:09:15.4509659Z x = layer(x) 2025-12-04T09:09:15.4509751Z 2025-12-04T09:09:15.4509854Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:09:15.4510334Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 524, in torch_dynamo_resume_in_forward_with_given_boxes_at_523 2025-12-04T09:09:15.4510784Z return self.mask_head(x, instances) 2025-12-04T09:09:15.4511151Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 197, in forward 2025-12-04T09:09:15.4511498Z x = self.layers(x) 2025-12-04T09:09:15.4511909Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 289, in layers 2025-12-04T09:09:15.4512262Z x = layer(x) 2025-12-04T09:09:15.4512569Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:09:15.4512902Z x = F.conv2d( 2025-12-04T09:09:15.4512999Z 2025-12-04T09:09:15.4513103Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:09:15.4513588Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 524, in torch_dynamo_resume_in_forward_with_given_boxes_at_523 2025-12-04T09:09:15.4514071Z return self.mask_head(x, instances) 2025-12-04T09:09:15.4514437Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 201, in forward 2025-12-04T09:09:15.4514805Z mask_rcnn_inference(x, instances) 2025-12-04T09:09:15.4515243Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 144, in mask_rcnn_inference 2025-12-04T09:09:15.4515907Z class_pred = cat([i.pred_classes for i in pred_instances]) 2025-12-04T09:09:15.4516283Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 72, in cat 2025-12-04T09:09:15.4516615Z return torch.cat(tensors, dim) 2025-12-04T09:09:15.4516736Z 2025-12-04T09:09:15.4516845Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:09:15.4517310Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 524, in torch_dynamo_resume_in_forward_with_given_boxes_at_523 2025-12-04T09:09:15.4517757Z return self.mask_head(x, instances) 2025-12-04T09:09:15.4518117Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 201, in forward 2025-12-04T09:09:15.4518471Z mask_rcnn_inference(x, instances) 2025-12-04T09:09:15.4518859Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 151, in mask_rcnn_inference 2025-12-04T09:09:15.4519309Z mask_probs_pred = pred_mask_logits[indices, class_pred][:, None].sigmoid() 2025-12-04T09:09:15.4519499Z 2025-12-04T09:09:17.3158805Z cudagraph partition due to non gpu ops 2025-12-04T09:09:17.3159130Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:09:17.3159598Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess 2025-12-04T09:09:17.3160014Z output_boxes.clip(results.image_size) 2025-12-04T09:09:17.3160390Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip 2025-12-04T09:09:17.3160822Z assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!" 2025-12-04T09:09:17.3161032Z 2025-12-04T09:09:17.3161122Z cudagraph partition due to non gpu ops 2025-12-04T09:09:17.3161340Z cudagraph partition due to non gpu ops 2025-12-04T09:09:17.3161581Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:09:17.3162417Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess 2025-12-04T09:09:17.3162837Z output_boxes.clip(results.image_size) 2025-12-04T09:09:17.3163193Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip 2025-12-04T09:09:17.3163607Z self.tensor = torch.stack((x1, y1, x2, y2), dim=-1) 2025-12-04T09:09:17.3163772Z 2025-12-04T09:09:17.3163878Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:09:17.3164335Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 58, in detector_postprocess 2025-12-04T09:09:17.3164769Z results = results[output_boxes.nonempty()] 2025-12-04T09:09:17.3165128Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 212, in nonempty 2025-12-04T09:09:17.3165561Z keep = (widths > threshold) & (heights > threshold) 2025-12-04T09:09:17.3165710Z 2025-12-04T09:09:18.7500552Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:09:18.7504645Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/mask_ops.py", line 39, in _do_paste_mask 2025-12-04T09:09:18.7506587Z x0_int, y0_int = torch.clamp(boxes.min(dim=0).values.floor()[:2] - 1, min=0).to( 2025-12-04T09:09:18.7506833Z 2025-12-04T09:09:18.7506961Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:09:18.7507673Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/mask_ops.py", line 43, in _do_paste_mask 2025-12-04T09:09:18.7508118Z y1_int = torch.clamp(boxes[:, 3].max().ceil() + 1, max=img_h).to(dtype=torch.int32) 2025-12-04T09:09:18.7508311Z 2025-12-04T09:09:18.7508490Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:09:18.7508891Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/mask_ops.py", line 42, in _do_paste_mask 2025-12-04T09:09:18.7509303Z x1_int = torch.clamp(boxes[:, 2].max().ceil() + 1, max=img_w).to(dtype=torch.int32) 2025-12-04T09:09:18.7509497Z 2025-12-04T09:09:19.2424543Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:09:19.2429838Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/mask_ops.py", line 51, in torch_dynamo_resume_in__do_paste_mask_at_51 2025-12-04T09:09:19.2430743Z img_y = torch.arange(y0_int, y1_int, device=device, dtype=torch.float32) + 0.5 2025-12-04T09:09:19.2430968Z 2025-12-04T09:09:19.7884644Z W1204 09:09:19.787000 8096 site-packages/torch/_dynamo/variables/tensor.py:1073] [61/0] Graph break from `Tensor.item()`, consider setting: 2025-12-04T09:09:19.7885302Z W1204 09:09:19.787000 8096 site-packages/torch/_dynamo/variables/tensor.py:1073] [61/0] torch._dynamo.config.capture_scalar_outputs = True 2025-12-04T09:09:19.7886022Z W1204 09:09:19.787000 8096 site-packages/torch/_dynamo/variables/tensor.py:1073] [61/0] or: 2025-12-04T09:09:19.7886561Z W1204 09:09:19.787000 8096 site-packages/torch/_dynamo/variables/tensor.py:1073] [61/0] env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1 2025-12-04T09:09:19.7891441Z W1204 09:09:19.787000 8096 site-packages/torch/_dynamo/variables/tensor.py:1073] [61/0] to include these operations in the captured graph. 2025-12-04T09:09:19.7893003Z W1204 09:09:19.787000 8096 site-packages/torch/_dynamo/variables/tensor.py:1073] [61/0] 2025-12-04T09:09:19.7893486Z W1204 09:09:19.787000 8096 site-packages/torch/_dynamo/variables/tensor.py:1073] [61/0] Graph break: from user code at: 2025-12-04T09:09:19.7894326Z W1204 09:09:19.787000 8096 site-packages/torch/_dynamo/variables/tensor.py:1073] [61/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/mask_ops.py", line 67, in torch_dynamo_resume_in__do_paste_mask_at_52 2025-12-04T09:09:19.7898840Z W1204 09:09:19.787000 8096 site-packages/torch/_dynamo/variables/tensor.py:1073] [61/0] return img_masks[:, 0], (slice(y0_int, y1_int), slice(x0_int, x1_int)) 2025-12-04T09:09:19.7900664Z W1204 09:09:19.787000 8096 site-packages/torch/_dynamo/variables/tensor.py:1073] [61/0] 2025-12-04T09:09:19.7901232Z W1204 09:09:19.787000 8096 site-packages/torch/_dynamo/variables/tensor.py:1073] [61/0] 2025-12-04T09:09:20.1995166Z cudagraph partition due to non gpu ops 2025-12-04T09:09:20.1997003Z cudagraph partition due to non gpu ops 2025-12-04T09:09:20.1997386Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:09:20.1998019Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/mask_ops.py", line 59, in torch_dynamo_resume_in__do_paste_mask_at_52 2025-12-04T09:09:20.1998480Z grid = torch.stack([gx, gy], dim=3) 2025-12-04T09:09:20.1998642Z 2025-12-04T09:09:21.0673663Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:09:21.0678993Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/mask_ops.py", line 51, in torch_dynamo_resume_in__do_paste_mask_at_51 2025-12-04T09:09:21.0679534Z img_y = torch.arange(y0_int, y1_int, device=device, dtype=torch.float32) + 0.5 2025-12-04T09:09:21.0679747Z 2025-12-04T09:09:26.0027777Z cudagraph partition due to non gpu ops 2025-12-04T09:09:26.0031797Z cudagraph partition due to non gpu ops 2025-12-04T09:09:26.0036142Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:09:26.0040238Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/mask_ops.py", line 59, in torch_dynamo_resume_in__do_paste_mask_at_52 2025-12-04T09:09:26.0045064Z grid = torch.stack([gx, gy], dim=3) 2025-12-04T09:09:26.0048970Z 2025-12-04T09:09:29.3133954Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:09:29.3138968Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/mask_ops.py", line 39, in _do_paste_mask 2025-12-04T09:09:29.3139996Z x0_int, y0_int = torch.clamp(boxes.min(dim=0).values.floor()[:2] - 1, min=0).to( 2025-12-04T09:09:29.3140339Z 2025-12-04T09:09:29.3140545Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:09:29.3140957Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/mask_ops.py", line 43, in _do_paste_mask 2025-12-04T09:09:29.3141413Z y1_int = torch.clamp(boxes[:, 3].max().ceil() + 1, max=img_h).to(dtype=torch.int32) 2025-12-04T09:09:29.3141607Z 2025-12-04T09:09:29.3141709Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:09:29.3142103Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/mask_ops.py", line 42, in _do_paste_mask 2025-12-04T09:09:29.3142518Z x1_int = torch.clamp(boxes[:, 2].max().ceil() + 1, max=img_w).to(dtype=torch.int32) 2025-12-04T09:09:29.3142703Z 2025-12-04T09:09:46.5067940Z E1204 09:09:46.505000 8096 site-packages/torch/_dynamo/utils.py:3123] Accuracy failed: uint8 tensor did not match 2025-12-04T09:09:46.5068454Z E1204 09:09:46.505000 8096 site-packages/torch/_dynamo/utils.py:3086] Accuracy failed for key name pred_masks 2025-12-04T09:09:46.5068896Z E1204 09:09:46.505000 8096 site-packages/torch/_dynamo/utils.py:3086] Accuracy failed for key name instances 2025-12-04T09:09:46.5277966Z Compilation time (from dynamo_timed): 58.346377904 2025-12-04T09:09:46.5278222Z fail_accuracy 2025-12-04T09:09:46.5278501Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:09:46.5279229Z TIMING: gc:0.04731 entire_frame_compile:58.34638 _recursive_pre_grad_passes:0.03515 _recursive_joint_graph_passes:0.33926 async_compile.wait:9.26147 inductor_compile:21.998 backend_compile:34.90224 _recursive_post_grad_passes:0.11581 code_gen:12.02117 total_wall_time:58.34638 2025-12-04T09:09:46.5280304Z STATS: call_* op count: 934 | FakeTensorMode.__torch_dispatch__:22242 | FakeTensor.__torch_dispatch__:5022 | ProxyTorchDispatchMode.__torch_dispatch__:7889 | attempt fast:154 | slow no contiguity match:40 | fast is_contiguous:109 | slow both tensors nontrivially broadcast:5 2025-12-04T09:09:46.5280970Z Dynamo produced 67 graphs covering 934 ops with 56 graph breaks (8 unique) 2025-12-04T09:09:50.3815914Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-12-04T09:09:50.3817160Z import pynvml # type: ignore[import] 2025-12-04T09:09:52.3053840Z 2025-12-04T09:10:03.2915510Z loading model: 0it [00:00, ?it/s]W1204 09:10:03.290000 8673 site-packages/torch/fx/_symbolic_trace.py:53] is_fx_tracing will return true for both fx.symbolic_trace and torch.export. Please use is_fx_tracing_symbolic_tracing() for specifically fx.symbolic_trace or torch.compiler.is_compiling() for specifically torch.export/compile. 2025-12-04T09:10:04.8735803Z 2025-12-04T09:10:04.8738307Z loading model: 0it [00:12, ?it/s] 2025-12-04T09:10:04.8756049Z cpu eval detectron2_maskrcnn_r_101_fpn 2025-12-04T09:10:20.3573437Z WARNING:common:fp64 golden ref were not generated for detectron2_maskrcnn_r_101_fpn. Setting accuracy check to cosine 2025-12-04T09:10:20.3752717Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:10:33.3201908Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:10:46.2230224Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:11:17.5433635Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:11:17.5434155Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/boxes.py", line 114, in _batched_nms_vanilla 2025-12-04T09:11:17.5434565Z keep_mask = torch.zeros_like(scores, dtype=torch.bool) 2025-12-04T09:11:17.5435074Z 2025-12-04T09:11:21.7310339Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:11:21.7311055Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward 2025-12-04T09:11:21.7311448Z return roi_align( 2025-12-04T09:11:21.7311786Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align 2025-12-04T09:11:21.7312153Z return torch.ops.torchvision.roi_align( 2025-12-04T09:11:21.7312296Z 2025-12-04T09:11:21.7312402Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:11:21.7312786Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward 2025-12-04T09:11:21.7313116Z return roi_align( 2025-12-04T09:11:21.7313421Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align 2025-12-04T09:11:21.7313781Z return torch.ops.torchvision.roi_align( 2025-12-04T09:11:21.7313921Z 2025-12-04T09:11:28.0636261Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:11:28.0637152Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/boxes.py", line 99, in _batched_nms_coordinate_trick 2025-12-04T09:11:28.0637827Z max_coordinate = boxes.max() 2025-12-04T09:11:28.0638038Z 2025-12-04T09:11:28.0638207Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:11:28.0638941Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/boxes.py", line 101, in _batched_nms_coordinate_trick 2025-12-04T09:11:28.0639624Z boxes_for_nms = boxes + offsets[:, None] 2025-12-04T09:11:28.0639856Z 2025-12-04T09:11:28.8030993Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:11:28.8031818Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 165, in torch_dynamo_resume_in_fast_rcnn_inference_single_image_at_162 2025-12-04T09:11:28.8032402Z boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep] 2025-12-04T09:11:28.8032596Z 2025-12-04T09:11:28.8032708Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:11:28.8033501Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 165, in torch_dynamo_resume_in_fast_rcnn_inference_single_image_at_162 2025-12-04T09:11:28.8034039Z boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep] 2025-12-04T09:11:28.8034229Z 2025-12-04T09:11:28.8034333Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:11:28.8034840Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 165, in torch_dynamo_resume_in_fast_rcnn_inference_single_image_at_162 2025-12-04T09:11:28.8035353Z boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep] 2025-12-04T09:11:28.8035603Z 2025-12-04T09:11:33.9822325Z cudagraph partition due to non gpu ops 2025-12-04T09:11:33.9826412Z cudagraph partition due to non gpu ops 2025-12-04T09:11:33.9828219Z cudagraph partition due to non gpu ops 2025-12-04T09:11:33.9828569Z cudagraph partition due to non gpu ops 2025-12-04T09:11:33.9833303Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:11:33.9837389Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 97, in convert_boxes_to_pooler_format 2025-12-04T09:11:33.9837871Z sizes = shapes_to_tensor([x.__len__() for x in box_lists]) 2025-12-04T09:11:33.9838614Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 39, in shapes_to_tensor 2025-12-04T09:11:33.9838995Z return torch.as_tensor(x, device=device) 2025-12-04T09:11:33.9839135Z 2025-12-04T09:11:33.9839252Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:11:33.9839738Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 95, in convert_boxes_to_pooler_format 2025-12-04T09:11:33.9840179Z boxes = torch.cat([x.tensor for x in box_lists], dim=0) 2025-12-04T09:11:33.9840336Z 2025-12-04T09:11:34.8426852Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:11:34.8430666Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 111, in _create_zeros 2025-12-04T09:11:34.8435162Z return torch.zeros(sizes, dtype=like_tensor.dtype, device=like_tensor.device) 2025-12-04T09:11:34.8437153Z 2025-12-04T09:11:35.5866661Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:11:35.5868323Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward 2025-12-04T09:11:35.5868800Z return roi_align( 2025-12-04T09:11:35.5871220Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align 2025-12-04T09:11:35.5871738Z return torch.ops.torchvision.roi_align( 2025-12-04T09:11:35.5875365Z 2025-12-04T09:11:35.5877399Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:11:35.5877860Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward 2025-12-04T09:11:35.5878367Z return roi_align( 2025-12-04T09:11:35.5878771Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align 2025-12-04T09:11:35.5879137Z return torch.ops.torchvision.roi_align( 2025-12-04T09:11:35.5879289Z 2025-12-04T09:11:35.8072338Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:11:35.8072950Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward 2025-12-04T09:11:35.8075664Z return roi_align( 2025-12-04T09:11:35.8076126Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align 2025-12-04T09:11:35.8076549Z return torch.ops.torchvision.roi_align( 2025-12-04T09:11:35.8076696Z 2025-12-04T09:11:35.8076844Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:11:35.8077509Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward 2025-12-04T09:11:35.8077854Z return roi_align( 2025-12-04T09:11:35.8078170Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align 2025-12-04T09:11:35.8078517Z return torch.ops.torchvision.roi_align( 2025-12-04T09:11:35.8078673Z 2025-12-04T09:11:35.9925343Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:11:35.9929290Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward 2025-12-04T09:11:35.9933481Z return roi_align( 2025-12-04T09:11:35.9935947Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align 2025-12-04T09:11:35.9936676Z return torch.ops.torchvision.roi_align( 2025-12-04T09:11:35.9938718Z 2025-12-04T09:11:35.9938848Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:11:35.9939234Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward 2025-12-04T09:11:35.9939571Z return roi_align( 2025-12-04T09:11:35.9939954Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align 2025-12-04T09:11:35.9943616Z return torch.ops.torchvision.roi_align( 2025-12-04T09:11:35.9945318Z 2025-12-04T09:11:36.1741420Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:11:36.1742448Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward 2025-12-04T09:11:36.1743080Z return roi_align( 2025-12-04T09:11:36.1743906Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align 2025-12-04T09:11:36.1744377Z return torch.ops.torchvision.roi_align( 2025-12-04T09:11:36.1744544Z 2025-12-04T09:11:36.1744679Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:11:36.1745126Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward 2025-12-04T09:11:36.1745526Z return roi_align( 2025-12-04T09:11:36.1745880Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align 2025-12-04T09:11:36.1746229Z return torch.ops.torchvision.roi_align( 2025-12-04T09:11:36.1746368Z 2025-12-04T09:11:39.2782120Z cudagraph partition due to non gpu ops 2025-12-04T09:11:39.2786349Z cudagraph partition due to non gpu ops 2025-12-04T09:11:39.2786669Z cudagraph partition due to non gpu ops 2025-12-04T09:11:39.2786878Z cudagraph partition due to non gpu ops 2025-12-04T09:11:39.2787071Z cudagraph partition due to non gpu ops 2025-12-04T09:11:39.2787317Z cudagraph partition due to non gpu ops 2025-12-04T09:11:39.2787515Z cudagraph partition due to non gpu ops 2025-12-04T09:11:39.2787706Z cudagraph partition due to non gpu ops 2025-12-04T09:11:39.2787904Z cudagraph partition due to non gpu ops 2025-12-04T09:11:39.2788105Z cudagraph partition due to non gpu ops 2025-12-04T09:11:39.2788330Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:11:39.2788847Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 846, in torch_dynamo_resume_in__forward_mask_at_843 2025-12-04T09:11:39.2789324Z return self.mask_head(features, instances) 2025-12-04T09:11:39.2789722Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 197, in forward 2025-12-04T09:11:39.2790084Z x = self.layers(x) 2025-12-04T09:11:39.2790430Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 289, in layers 2025-12-04T09:11:39.2790793Z x = layer(x) 2025-12-04T09:11:39.2791098Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:11:39.2791430Z x = F.conv2d( 2025-12-04T09:11:39.2791816Z 2025-12-04T09:11:39.2791930Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:11:39.2792405Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 846, in torch_dynamo_resume_in__forward_mask_at_843 2025-12-04T09:11:39.2792850Z return self.mask_head(features, instances) 2025-12-04T09:11:39.2793246Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 197, in forward 2025-12-04T09:11:39.2793614Z x = self.layers(x) 2025-12-04T09:11:39.2793958Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 289, in layers 2025-12-04T09:11:39.2794362Z x = layer(x) 2025-12-04T09:11:39.2794664Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 148, in forward 2025-12-04T09:11:39.2795001Z x = self.activation(x) 2025-12-04T09:11:39.2795110Z 2025-12-04T09:11:39.2795215Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:11:39.2795675Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 846, in torch_dynamo_resume_in__forward_mask_at_843 2025-12-04T09:11:39.2796115Z return self.mask_head(features, instances) 2025-12-04T09:11:39.2796537Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 197, in forward 2025-12-04T09:11:39.2796877Z x = self.layers(x) 2025-12-04T09:11:39.2797203Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 289, in layers 2025-12-04T09:11:39.2797550Z x = layer(x) 2025-12-04T09:11:39.2797892Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:11:39.2798206Z x = F.conv2d( 2025-12-04T09:11:39.2798300Z 2025-12-04T09:11:39.2798398Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:11:39.2798848Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 846, in torch_dynamo_resume_in__forward_mask_at_843 2025-12-04T09:11:39.2799281Z return self.mask_head(features, instances) 2025-12-04T09:11:39.2799647Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 197, in forward 2025-12-04T09:11:39.2799992Z x = self.layers(x) 2025-12-04T09:11:39.2800312Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 289, in layers 2025-12-04T09:11:39.2800646Z x = layer(x) 2025-12-04T09:11:39.2800939Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 148, in forward 2025-12-04T09:11:39.2801266Z x = self.activation(x) 2025-12-04T09:11:39.2801369Z 2025-12-04T09:11:39.2801466Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:11:39.2802056Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 846, in torch_dynamo_resume_in__forward_mask_at_843 2025-12-04T09:11:39.2802527Z return self.mask_head(features, instances) 2025-12-04T09:11:39.2802924Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 197, in forward 2025-12-04T09:11:39.2803303Z x = self.layers(x) 2025-12-04T09:11:39.2803652Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 289, in layers 2025-12-04T09:11:39.2804008Z x = layer(x) 2025-12-04T09:11:39.2804305Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:11:39.2804641Z x = F.conv2d( 2025-12-04T09:11:39.2804741Z 2025-12-04T09:11:39.2804843Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:11:39.2805361Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 846, in torch_dynamo_resume_in__forward_mask_at_843 2025-12-04T09:11:39.2805817Z return self.mask_head(features, instances) 2025-12-04T09:11:39.2806209Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 197, in forward 2025-12-04T09:11:39.2806579Z x = self.layers(x) 2025-12-04T09:11:39.2806924Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 289, in layers 2025-12-04T09:11:39.2807280Z x = layer(x) 2025-12-04T09:11:39.2807593Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 148, in forward 2025-12-04T09:11:39.2807964Z x = self.activation(x) 2025-12-04T09:11:39.2808074Z 2025-12-04T09:11:39.2808185Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:11:39.2808660Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 846, in torch_dynamo_resume_in__forward_mask_at_843 2025-12-04T09:11:39.2809126Z return self.mask_head(features, instances) 2025-12-04T09:11:39.2809516Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 197, in forward 2025-12-04T09:11:39.2809900Z x = self.layers(x) 2025-12-04T09:11:39.2810243Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 289, in layers 2025-12-04T09:11:39.2810603Z x = layer(x) 2025-12-04T09:11:39.2810908Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:11:39.2811288Z x = F.conv2d( 2025-12-04T09:11:39.2811387Z 2025-12-04T09:11:39.2811490Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:11:39.2811994Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 846, in torch_dynamo_resume_in__forward_mask_at_843 2025-12-04T09:11:39.2812417Z return self.mask_head(features, instances) 2025-12-04T09:11:39.2812784Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 197, in forward 2025-12-04T09:11:39.2813134Z x = self.layers(x) 2025-12-04T09:11:39.2813460Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 289, in layers 2025-12-04T09:11:39.2813798Z x = layer(x) 2025-12-04T09:11:39.2814091Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 148, in forward 2025-12-04T09:11:39.2814421Z x = self.activation(x) 2025-12-04T09:11:39.2814523Z 2025-12-04T09:11:39.2814627Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:11:39.2815068Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 846, in torch_dynamo_resume_in__forward_mask_at_843 2025-12-04T09:11:39.2815498Z return self.mask_head(features, instances) 2025-12-04T09:11:39.2816046Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 197, in forward 2025-12-04T09:11:39.2816392Z x = self.layers(x) 2025-12-04T09:11:39.2816717Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 289, in layers 2025-12-04T09:11:39.2817063Z x = layer(x) 2025-12-04T09:11:39.2817147Z 2025-12-04T09:11:39.2817253Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:11:39.2817694Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 846, in torch_dynamo_resume_in__forward_mask_at_843 2025-12-04T09:11:39.2818127Z return self.mask_head(features, instances) 2025-12-04T09:11:39.2818535Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 197, in forward 2025-12-04T09:11:39.2818882Z x = self.layers(x) 2025-12-04T09:11:39.2819202Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 289, in layers 2025-12-04T09:11:39.2819546Z x = layer(x) 2025-12-04T09:11:39.2819628Z 2025-12-04T09:11:39.2819729Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:11:39.2820171Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 846, in torch_dynamo_resume_in__forward_mask_at_843 2025-12-04T09:11:39.2820599Z return self.mask_head(features, instances) 2025-12-04T09:11:39.2820967Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 197, in forward 2025-12-04T09:11:39.2821343Z x = self.layers(x) 2025-12-04T09:11:39.2821667Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 289, in layers 2025-12-04T09:11:39.2822030Z x = layer(x) 2025-12-04T09:11:39.2822328Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:11:39.2822650Z x = F.conv2d( 2025-12-04T09:11:39.2822735Z 2025-12-04T09:11:39.2822832Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:11:39.2823304Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 846, in torch_dynamo_resume_in__forward_mask_at_843 2025-12-04T09:11:39.2823733Z return self.mask_head(features, instances) 2025-12-04T09:11:39.2824127Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 201, in forward 2025-12-04T09:11:39.2824488Z mask_rcnn_inference(x, instances) 2025-12-04T09:11:39.2824880Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 144, in mask_rcnn_inference 2025-12-04T09:11:39.2825318Z class_pred = cat([i.pred_classes for i in pred_instances]) 2025-12-04T09:11:39.2825679Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 72, in cat 2025-12-04T09:11:39.2826005Z return torch.cat(tensors, dim) 2025-12-04T09:11:39.2826133Z 2025-12-04T09:11:39.2826230Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:11:39.2826679Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 846, in torch_dynamo_resume_in__forward_mask_at_843 2025-12-04T09:11:39.2827100Z return self.mask_head(features, instances) 2025-12-04T09:11:39.2827469Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 201, in forward 2025-12-04T09:11:39.2827831Z mask_rcnn_inference(x, instances) 2025-12-04T09:11:39.2828215Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 151, in mask_rcnn_inference 2025-12-04T09:11:39.2828658Z mask_probs_pred = pred_mask_logits[indices, class_pred][:, None].sigmoid() 2025-12-04T09:11:39.2828852Z 2025-12-04T09:11:41.8335316Z cudagraph partition due to non gpu ops 2025-12-04T09:11:41.8335645Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:11:41.8336117Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess 2025-12-04T09:11:41.8336559Z output_boxes.clip(results.image_size) 2025-12-04T09:11:41.8336900Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip 2025-12-04T09:11:41.8337328Z assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!" 2025-12-04T09:11:41.8337534Z 2025-12-04T09:11:41.8337622Z cudagraph partition due to non gpu ops 2025-12-04T09:11:41.8337821Z cudagraph partition due to non gpu ops 2025-12-04T09:11:41.8339780Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:11:41.8344764Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess 2025-12-04T09:11:41.8346154Z output_boxes.clip(results.image_size) 2025-12-04T09:11:41.8346599Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip 2025-12-04T09:11:41.8349540Z self.tensor = torch.stack((x1, y1, x2, y2), dim=-1) 2025-12-04T09:11:41.8349757Z 2025-12-04T09:11:41.8349891Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:11:41.8350401Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 58, in detector_postprocess 2025-12-04T09:11:41.8351049Z results = results[output_boxes.nonempty()] 2025-12-04T09:11:41.8351415Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 212, in nonempty 2025-12-04T09:11:41.8351794Z keep = (widths > threshold) & (heights > threshold) 2025-12-04T09:11:41.8351943Z 2025-12-04T09:11:43.2833482Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:11:43.2837839Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/mask_ops.py", line 51, in torch_dynamo_resume_in__do_paste_mask_at_51 2025-12-04T09:11:43.2838649Z img_y = torch.arange(y0_int, y1_int, device=device, dtype=torch.float32) + 0.5 2025-12-04T09:11:43.2838851Z 2025-12-04T09:11:43.8209432Z W1204 09:11:43.819000 8673 site-packages/torch/_dynamo/variables/tensor.py:1073] [67/0] Graph break from `Tensor.item()`, consider setting: 2025-12-04T09:11:43.8212127Z W1204 09:11:43.819000 8673 site-packages/torch/_dynamo/variables/tensor.py:1073] [67/0] torch._dynamo.config.capture_scalar_outputs = True 2025-12-04T09:11:43.8212648Z W1204 09:11:43.819000 8673 site-packages/torch/_dynamo/variables/tensor.py:1073] [67/0] or: 2025-12-04T09:11:43.8213102Z W1204 09:11:43.819000 8673 site-packages/torch/_dynamo/variables/tensor.py:1073] [67/0] env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1 2025-12-04T09:11:43.8213627Z W1204 09:11:43.819000 8673 site-packages/torch/_dynamo/variables/tensor.py:1073] [67/0] to include these operations in the captured graph. 2025-12-04T09:11:43.8214071Z W1204 09:11:43.819000 8673 site-packages/torch/_dynamo/variables/tensor.py:1073] [67/0] 2025-12-04T09:11:43.8214513Z W1204 09:11:43.819000 8673 site-packages/torch/_dynamo/variables/tensor.py:1073] [67/0] Graph break: from user code at: 2025-12-04T09:11:43.8215238Z W1204 09:11:43.819000 8673 site-packages/torch/_dynamo/variables/tensor.py:1073] [67/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/mask_ops.py", line 67, in torch_dynamo_resume_in__do_paste_mask_at_52 2025-12-04T09:11:43.8216282Z W1204 09:11:43.819000 8673 site-packages/torch/_dynamo/variables/tensor.py:1073] [67/0] return img_masks[:, 0], (slice(y0_int, y1_int), slice(x0_int, x1_int)) 2025-12-04T09:11:43.8216760Z W1204 09:11:43.819000 8673 site-packages/torch/_dynamo/variables/tensor.py:1073] [67/0] 2025-12-04T09:11:43.8217102Z W1204 09:11:43.819000 8673 site-packages/torch/_dynamo/variables/tensor.py:1073] [67/0] 2025-12-04T09:11:44.2279613Z cudagraph partition due to non gpu ops 2025-12-04T09:11:44.2279920Z cudagraph partition due to non gpu ops 2025-12-04T09:11:44.2280181Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:11:44.2280663Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/mask_ops.py", line 59, in torch_dynamo_resume_in__do_paste_mask_at_52 2025-12-04T09:11:44.2281085Z grid = torch.stack([gx, gy], dim=3) 2025-12-04T09:11:44.2281216Z 2025-12-04T09:11:49.8701996Z cudagraph partition due to non gpu ops 2025-12-04T09:11:49.8702308Z cudagraph partition due to non gpu ops 2025-12-04T09:11:49.8702547Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:11:49.8703391Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/mask_ops.py", line 59, in torch_dynamo_resume_in__do_paste_mask_at_52 2025-12-04T09:11:49.8703834Z grid = torch.stack([gx, gy], dim=3) 2025-12-04T09:11:49.8703972Z 2025-12-04T09:12:00.7929491Z Compilation time (from dynamo_timed): 62.480947455 2025-12-04T09:12:00.7929772Z pass 2025-12-04T09:12:00.7930048Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:12:00.7930824Z TIMING: gc:0.05205 entire_frame_compile:62.48095 _recursive_pre_grad_passes:0.04067 _recursive_joint_graph_passes:0.59083 async_compile.wait:4.95046 inductor_compile:15.80674 backend_compile:33.53059 _recursive_post_grad_passes:0.07578 code_gen:6.89705 total_wall_time:62.48095 2025-12-04T09:12:00.7932248Z STATS: call_* op count: 1300 | FakeTensorMode.__torch_dispatch__:27098 | FakeTensor.__torch_dispatch__:2597 | ProxyTorchDispatchMode.__torch_dispatch__:8362 | attempt fast:210 | slow no contiguity match:62 | fast is_contiguous:143 | slow both tensors nontrivially broadcast:5 2025-12-04T09:12:00.7933498Z Dynamo produced 78 graphs covering 1300 ops with 62 graph breaks (8 unique) 2025-12-04T09:12:05.5402006Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-12-04T09:12:05.5403152Z import pynvml # type: ignore[import] 2025-12-04T09:12:07.3924816Z 2025-12-04T09:12:13.3327897Z loading model: 0it [00:00, ?it/s]W1204 09:12:13.331000 9025 site-packages/torch/fx/_symbolic_trace.py:53] is_fx_tracing will return true for both fx.symbolic_trace and torch.export. Please use is_fx_tracing_symbolic_tracing() for specifically fx.symbolic_trace or torch.compiler.is_compiling() for specifically torch.export/compile. 2025-12-04T09:12:28.0730601Z 2025-12-04T09:12:28.0733020Z loading model: 0it [00:20, ?it/s] 2025-12-04T09:12:28.0747612Z cpu eval detectron2_maskrcnn_r_50_c4 2025-12-04T09:12:36.0989032Z WARNING:common:fp64 golden ref were not generated for detectron2_maskrcnn_r_50_c4. Setting accuracy check to cosine 2025-12-04T09:12:36.1071175Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:13:10.9769282Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:13:45.8204164Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:14:04.1790959Z cudagraph partition due to non gpu ops 2025-12-04T09:14:04.1795300Z cudagraph partition due to non gpu ops 2025-12-04T09:14:04.1796732Z cudagraph partition due to non gpu ops 2025-12-04T09:14:04.1796962Z cudagraph partition due to non gpu ops 2025-12-04T09:14:04.1797217Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:14:04.1797699Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 97, in convert_boxes_to_pooler_format 2025-12-04T09:14:04.1798140Z sizes = shapes_to_tensor([x.__len__() for x in box_lists]) 2025-12-04T09:14:04.1798542Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 39, in shapes_to_tensor 2025-12-04T09:14:04.1798909Z return torch.as_tensor(x, device=device) 2025-12-04T09:14:04.1799067Z 2025-12-04T09:14:04.1799172Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:14:04.1799594Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 95, in convert_boxes_to_pooler_format 2025-12-04T09:14:04.1800018Z boxes = torch.cat([x.tensor for x in box_lists], dim=0) 2025-12-04T09:14:04.1800174Z 2025-12-04T09:14:04.8026551Z cudagraph partition due to non gpu ops 2025-12-04T09:14:04.8027954Z cudagraph partition due to non gpu ops 2025-12-04T09:14:04.8028239Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:14:04.8029057Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 69, in torch_dynamo_resume_in__convert_boxes_to_pooler_format_at_66 2025-12-04T09:14:04.8029523Z return cat([indices[:, None], boxes], dim=1) 2025-12-04T09:14:04.8029880Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 72, in cat 2025-12-04T09:14:04.8030232Z return torch.cat(tensors, dim) 2025-12-04T09:14:04.8030365Z 2025-12-04T09:14:05.6991121Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:14:05.6991945Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 246, in torch_dynamo_resume_in_forward_at_243 2025-12-04T09:14:05.6992918Z return self.level_poolers[0](x[0], pooler_fmt_boxes) 2025-12-04T09:14:05.6993390Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward 2025-12-04T09:14:05.6993728Z return roi_align( 2025-12-04T09:14:05.6994075Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align 2025-12-04T09:14:05.6994435Z return torch.ops.torchvision.roi_align( 2025-12-04T09:14:05.6994579Z 2025-12-04T09:14:05.6994691Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:14:05.6995120Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 246, in torch_dynamo_resume_in_forward_at_243 2025-12-04T09:14:05.6995633Z return self.level_poolers[0](x[0], pooler_fmt_boxes) 2025-12-04T09:14:05.6995996Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward 2025-12-04T09:14:05.6996386Z return roi_align( 2025-12-04T09:14:05.6996692Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align 2025-12-04T09:14:05.6997042Z return torch.ops.torchvision.roi_align( 2025-12-04T09:14:05.6997178Z 2025-12-04T09:14:09.4487077Z cudagraph partition due to non gpu ops 2025-12-04T09:14:09.4487526Z cudagraph partition due to non gpu ops 2025-12-04T09:14:09.4487859Z cudagraph partition due to non gpu ops 2025-12-04T09:14:09.4488231Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:14:09.4489105Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T09:14:09.4489888Z return self.res5(x) 2025-12-04T09:14:09.4490462Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:14:09.4491076Z out = self.conv1(x) 2025-12-04T09:14:09.4491634Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:14:09.4492202Z x = F.conv2d( 2025-12-04T09:14:09.4492351Z 2025-12-04T09:14:09.4492528Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:14:09.4493377Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T09:14:09.4494158Z return self.res5(x) 2025-12-04T09:14:09.4494725Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:14:09.4495331Z out = F.relu_(out) 2025-12-04T09:14:09.4495496Z 2025-12-04T09:14:09.4495661Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:14:09.4496485Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T09:14:09.4497240Z return self.res5(x) 2025-12-04T09:14:09.4497812Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:14:09.4498777Z out = self.conv2(out) 2025-12-04T09:14:09.4499343Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:14:09.4499910Z x = F.conv2d( 2025-12-04T09:14:09.4500061Z 2025-12-04T09:14:09.4500229Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:14:09.4501062Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T09:14:09.4501814Z return self.res5(x) 2025-12-04T09:14:09.4502376Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:14:09.4503094Z out = F.relu_(out) 2025-12-04T09:14:09.4503247Z 2025-12-04T09:14:09.4503413Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:14:09.4504236Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T09:14:09.4505002Z return self.res5(x) 2025-12-04T09:14:09.4505572Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:14:09.4506185Z out = self.conv3(out) 2025-12-04T09:14:09.4506802Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:14:09.4507361Z x = F.conv2d( 2025-12-04T09:14:09.4507504Z 2025-12-04T09:14:09.4507676Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:14:09.4508559Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T09:14:09.4509331Z return self.res5(x) 2025-12-04T09:14:09.4509896Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward 2025-12-04T09:14:09.4510526Z shortcut = self.shortcut(x) 2025-12-04T09:14:09.4511094Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:14:09.4511655Z x = F.conv2d( 2025-12-04T09:14:09.4511793Z 2025-12-04T09:14:09.4511967Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:14:09.4512824Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T09:14:09.4513583Z return self.res5(x) 2025-12-04T09:14:09.4514166Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:14:09.4514780Z out = self.conv1(x) 2025-12-04T09:14:09.4515311Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:14:09.4516179Z x = F.conv2d( 2025-12-04T09:14:09.4516344Z 2025-12-04T09:14:09.4516513Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:14:09.4517361Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T09:14:09.4518127Z return self.res5(x) 2025-12-04T09:14:09.4518712Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:14:09.4519339Z out = F.relu_(out) 2025-12-04T09:14:09.4519498Z 2025-12-04T09:14:09.4519675Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:14:09.4520549Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T09:14:09.4521298Z return self.res5(x) 2025-12-04T09:14:09.4522116Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:14:09.4522750Z out = self.conv2(out) 2025-12-04T09:14:09.4523294Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:14:09.4523866Z x = F.conv2d( 2025-12-04T09:14:09.4524017Z 2025-12-04T09:14:09.4524179Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:14:09.4525006Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T09:14:09.4525765Z return self.res5(x) 2025-12-04T09:14:09.4526437Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:14:09.4527057Z out = F.relu_(out) 2025-12-04T09:14:09.4527214Z 2025-12-04T09:14:09.4527381Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:14:09.4528216Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T09:14:09.4528991Z return self.res5(x) 2025-12-04T09:14:09.4529569Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:14:09.4530234Z out = self.conv3(out) 2025-12-04T09:14:09.4530786Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:14:09.4531370Z x = F.conv2d( 2025-12-04T09:14:09.4531543Z 2025-12-04T09:14:09.4531716Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:14:09.4532661Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T09:14:09.4533445Z return self.res5(x) 2025-12-04T09:14:09.4534033Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:14:09.4534647Z out = F.relu_(out) 2025-12-04T09:14:09.4534807Z 2025-12-04T09:14:09.4534971Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:14:09.4535817Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T09:14:09.4536595Z return self.res5(x) 2025-12-04T09:14:09.4537181Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:14:09.4537791Z out = self.conv1(x) 2025-12-04T09:14:09.4538333Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:14:09.4538885Z x = F.conv2d( 2025-12-04T09:14:09.4539022Z 2025-12-04T09:14:09.4539185Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:14:09.4540029Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T09:14:09.4540803Z return self.res5(x) 2025-12-04T09:14:09.4541382Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:14:09.4541986Z out = F.relu_(out) 2025-12-04T09:14:09.4542151Z 2025-12-04T09:14:09.4542308Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:14:09.4543142Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T09:14:09.4543918Z return self.res5(x) 2025-12-04T09:14:09.4544495Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:14:09.4545192Z out = self.conv2(out) 2025-12-04T09:14:09.4545742Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:14:09.4546283Z x = F.conv2d( 2025-12-04T09:14:09.4546433Z 2025-12-04T09:14:09.4546594Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:14:09.4547442Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T09:14:09.4548205Z return self.res5(x) 2025-12-04T09:14:09.4548787Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:14:09.4549469Z out = F.relu_(out) 2025-12-04T09:14:09.4549626Z 2025-12-04T09:14:09.4549798Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:14:09.4550640Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T09:14:09.4551400Z return self.res5(x) 2025-12-04T09:14:09.4551970Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:14:09.4552586Z out = self.conv3(out) 2025-12-04T09:14:09.4553174Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:14:09.4553741Z x = F.conv2d( 2025-12-04T09:14:09.4553888Z 2025-12-04T09:14:09.4554046Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:14:09.4554918Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456 2025-12-04T09:14:09.4555685Z return self.res5(x) 2025-12-04T09:14:09.4556268Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:14:09.4556877Z out = F.relu_(out) 2025-12-04T09:14:09.4557032Z 2025-12-04T09:14:19.0323818Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:14:19.0327553Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 480, in torch_dynamo_resume_in_forward_at_477 2025-12-04T09:14:19.0328146Z predictions = self.box_predictor(box_features.mean(dim=[2, 3])) 2025-12-04T09:14:19.0328600Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 303, in forward 2025-12-04T09:14:19.0328992Z scores = self.cls_score(x) 2025-12-04T09:14:19.0329126Z 2025-12-04T09:14:19.0329251Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:14:19.0329720Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 480, in torch_dynamo_resume_in_forward_at_477 2025-12-04T09:14:19.0330219Z predictions = self.box_predictor(box_features.mean(dim=[2, 3])) 2025-12-04T09:14:19.0330638Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 304, in forward 2025-12-04T09:14:19.0331025Z proposal_deltas = self.bbox_pred(x) 2025-12-04T09:14:19.0331166Z 2025-12-04T09:14:20.3863438Z cudagraph partition due to non gpu ops 2025-12-04T09:14:20.3865124Z cudagraph partition due to non gpu ops 2025-12-04T09:14:20.3865510Z cudagraph partition due to non gpu ops 2025-12-04T09:14:20.3870019Z cudagraph partition due to non gpu ops 2025-12-04T09:14:20.3871731Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:14:20.3872338Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 476, in inference 2025-12-04T09:14:20.3876711Z boxes = self.predict_boxes(predictions, proposals) 2025-12-04T09:14:20.3879015Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 542, in predict_boxes 2025-12-04T09:14:20.3879531Z proposal_boxes = cat([p.proposal_boxes.tensor for p in proposals], dim=0) 2025-12-04T09:14:20.3879941Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 72, in cat 2025-12-04T09:14:20.3880281Z return torch.cat(tensors, dim) 2025-12-04T09:14:20.3880420Z 2025-12-04T09:14:20.3880537Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:14:20.3880944Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 476, in inference 2025-12-04T09:14:20.3881339Z boxes = self.predict_boxes(predictions, proposals) 2025-12-04T09:14:20.3881932Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 543, in predict_boxes 2025-12-04T09:14:20.3882367Z predict_boxes = self.box2box_transform.apply_deltas( 2025-12-04T09:14:20.3882766Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/box_regression.py", line 115, in apply_deltas 2025-12-04T09:14:20.3883169Z pred_boxes = torch.stack((x1, y1, x2, y2), dim=-1) 2025-12-04T09:14:20.3883330Z 2025-12-04T09:14:22.7824182Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:14:22.7828303Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/boxes.py", line 99, in _batched_nms_coordinate_trick 2025-12-04T09:14:22.7832668Z max_coordinate = boxes.max() 2025-12-04T09:14:22.7836760Z 2025-12-04T09:14:22.7839149Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:14:22.7839958Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/boxes.py", line 101, in _batched_nms_coordinate_trick 2025-12-04T09:14:22.7840369Z boxes_for_nms = boxes + offsets[:, None] 2025-12-04T09:14:22.7840519Z 2025-12-04T09:14:23.4340292Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:14:23.4342253Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 165, in torch_dynamo_resume_in_fast_rcnn_inference_single_image_at_162 2025-12-04T09:14:23.4342930Z boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep] 2025-12-04T09:14:23.4346638Z 2025-12-04T09:14:23.4351777Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:14:23.4355586Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 165, in torch_dynamo_resume_in_fast_rcnn_inference_single_image_at_162 2025-12-04T09:14:23.4356697Z boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep] 2025-12-04T09:14:23.4356914Z 2025-12-04T09:14:23.4357370Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:14:23.4357906Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 165, in torch_dynamo_resume_in_fast_rcnn_inference_single_image_at_162 2025-12-04T09:14:23.4358423Z boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep] 2025-12-04T09:14:23.4358615Z 2025-12-04T09:14:27.8219300Z cudagraph partition due to non gpu ops 2025-12-04T09:14:27.8220797Z cudagraph partition due to non gpu ops 2025-12-04T09:14:27.8223832Z cudagraph partition due to non gpu ops 2025-12-04T09:14:27.8224201Z cudagraph partition due to non gpu ops 2025-12-04T09:14:27.8229108Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:14:27.8229778Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 97, in convert_boxes_to_pooler_format 2025-12-04T09:14:27.8230253Z sizes = shapes_to_tensor([x.__len__() for x in box_lists]) 2025-12-04T09:14:27.8230686Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 39, in shapes_to_tensor 2025-12-04T09:14:27.8231069Z return torch.as_tensor(x, device=device) 2025-12-04T09:14:27.8231210Z 2025-12-04T09:14:27.8231615Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:14:27.8232044Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 95, in convert_boxes_to_pooler_format 2025-12-04T09:14:27.8232477Z boxes = torch.cat([x.tensor for x in box_lists], dim=0) 2025-12-04T09:14:27.8232648Z 2025-12-04T09:14:31.2760870Z cudagraph partition due to non gpu ops 2025-12-04T09:14:31.2763350Z cudagraph partition due to non gpu ops 2025-12-04T09:14:31.2763659Z cudagraph partition due to non gpu ops 2025-12-04T09:14:31.2763918Z cudagraph partition due to non gpu ops 2025-12-04T09:14:31.2764187Z cudagraph partition due to non gpu ops 2025-12-04T09:14:31.2764853Z cudagraph partition due to non gpu ops 2025-12-04T09:14:31.2769540Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:14:31.2772054Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 524, in torch_dynamo_resume_in_forward_with_given_boxes_at_523 2025-12-04T09:14:31.2772654Z return self.mask_head(x, instances) 2025-12-04T09:14:31.2774974Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 197, in forward 2025-12-04T09:14:31.2775433Z x = self.layers(x) 2025-12-04T09:14:31.2780040Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 289, in layers 2025-12-04T09:14:31.2781017Z x = layer(x) 2025-12-04T09:14:31.2781122Z 2025-12-04T09:14:31.2781359Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:14:31.2781993Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 524, in torch_dynamo_resume_in_forward_with_given_boxes_at_523 2025-12-04T09:14:31.2786504Z return self.mask_head(x, instances) 2025-12-04T09:14:31.2790948Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 197, in forward 2025-12-04T09:14:31.2794622Z x = self.layers(x) 2025-12-04T09:14:31.2795088Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 289, in layers 2025-12-04T09:14:31.2795463Z x = layer(x) 2025-12-04T09:14:31.2795563Z 2025-12-04T09:14:31.2795680Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:14:31.2796195Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 524, in torch_dynamo_resume_in_forward_with_given_boxes_at_523 2025-12-04T09:14:31.2796656Z return self.mask_head(x, instances) 2025-12-04T09:14:31.2797051Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 197, in forward 2025-12-04T09:14:31.2797428Z x = self.layers(x) 2025-12-04T09:14:31.2797765Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 289, in layers 2025-12-04T09:14:31.2798122Z x = layer(x) 2025-12-04T09:14:31.2798433Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:14:31.2798758Z x = F.conv2d( 2025-12-04T09:14:31.2798858Z 2025-12-04T09:14:31.2798962Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:14:31.2799569Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 524, in torch_dynamo_resume_in_forward_with_given_boxes_at_523 2025-12-04T09:14:31.2800048Z return self.mask_head(x, instances) 2025-12-04T09:14:31.2800409Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 201, in forward 2025-12-04T09:14:31.2800782Z mask_rcnn_inference(x, instances) 2025-12-04T09:14:31.2801459Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 144, in mask_rcnn_inference 2025-12-04T09:14:31.2802010Z class_pred = cat([i.pred_classes for i in pred_instances]) 2025-12-04T09:14:31.2802384Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 72, in cat 2025-12-04T09:14:31.2802719Z return torch.cat(tensors, dim) 2025-12-04T09:14:31.2802842Z 2025-12-04T09:14:31.2802955Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:14:31.2803432Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 524, in torch_dynamo_resume_in_forward_with_given_boxes_at_523 2025-12-04T09:14:31.2803886Z return self.mask_head(x, instances) 2025-12-04T09:14:31.2804257Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 201, in forward 2025-12-04T09:14:31.2804652Z mask_rcnn_inference(x, instances) 2025-12-04T09:14:31.2805033Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 151, in mask_rcnn_inference 2025-12-04T09:14:31.2805485Z mask_probs_pred = pred_mask_logits[indices, class_pred][:, None].sigmoid() 2025-12-04T09:14:31.2805671Z 2025-12-04T09:14:33.0838795Z cudagraph partition due to non gpu ops 2025-12-04T09:14:33.0839137Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:14:33.0839952Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess 2025-12-04T09:14:33.0840375Z output_boxes.clip(results.image_size) 2025-12-04T09:14:33.0840727Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip 2025-12-04T09:14:33.0841223Z assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!" 2025-12-04T09:14:33.0841444Z 2025-12-04T09:14:33.0841525Z cudagraph partition due to non gpu ops 2025-12-04T09:14:33.0841732Z cudagraph partition due to non gpu ops 2025-12-04T09:14:33.0842081Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:14:33.0842517Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess 2025-12-04T09:14:33.0842929Z output_boxes.clip(results.image_size) 2025-12-04T09:14:33.0843271Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip 2025-12-04T09:14:33.0843653Z self.tensor = torch.stack((x1, y1, x2, y2), dim=-1) 2025-12-04T09:14:33.0843808Z 2025-12-04T09:14:33.0843907Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:14:33.0844335Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 58, in detector_postprocess 2025-12-04T09:14:33.0844749Z results = results[output_boxes.nonempty()] 2025-12-04T09:14:33.0845117Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 212, in nonempty 2025-12-04T09:14:33.0845496Z keep = (widths > threshold) & (heights > threshold) 2025-12-04T09:14:33.0845644Z 2025-12-04T09:14:34.5176604Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:14:34.5177141Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/mask_ops.py", line 51, in torch_dynamo_resume_in__do_paste_mask_at_51 2025-12-04T09:14:34.5177642Z img_y = torch.arange(y0_int, y1_int, device=device, dtype=torch.float32) + 0.5 2025-12-04T09:14:34.5177848Z 2025-12-04T09:14:35.0519525Z W1204 09:14:35.049000 9025 site-packages/torch/_dynamo/variables/tensor.py:1073] [61/0] Graph break from `Tensor.item()`, consider setting: 2025-12-04T09:14:35.0526796Z W1204 09:14:35.049000 9025 site-packages/torch/_dynamo/variables/tensor.py:1073] [61/0] torch._dynamo.config.capture_scalar_outputs = True 2025-12-04T09:14:35.0531327Z W1204 09:14:35.049000 9025 site-packages/torch/_dynamo/variables/tensor.py:1073] [61/0] or: 2025-12-04T09:14:35.0536200Z W1204 09:14:35.049000 9025 site-packages/torch/_dynamo/variables/tensor.py:1073] [61/0] env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1 2025-12-04T09:14:35.0537554Z W1204 09:14:35.049000 9025 site-packages/torch/_dynamo/variables/tensor.py:1073] [61/0] to include these operations in the captured graph. 2025-12-04T09:14:35.0538073Z W1204 09:14:35.049000 9025 site-packages/torch/_dynamo/variables/tensor.py:1073] [61/0] 2025-12-04T09:14:35.0543131Z W1204 09:14:35.049000 9025 site-packages/torch/_dynamo/variables/tensor.py:1073] [61/0] Graph break: from user code at: 2025-12-04T09:14:35.0545522Z W1204 09:14:35.049000 9025 site-packages/torch/_dynamo/variables/tensor.py:1073] [61/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/mask_ops.py", line 67, in torch_dynamo_resume_in__do_paste_mask_at_52 2025-12-04T09:14:35.0550258Z W1204 09:14:35.049000 9025 site-packages/torch/_dynamo/variables/tensor.py:1073] [61/0] return img_masks[:, 0], (slice(y0_int, y1_int), slice(x0_int, x1_int)) 2025-12-04T09:14:35.0552222Z W1204 09:14:35.049000 9025 site-packages/torch/_dynamo/variables/tensor.py:1073] [61/0] 2025-12-04T09:14:35.0552715Z W1204 09:14:35.049000 9025 site-packages/torch/_dynamo/variables/tensor.py:1073] [61/0] 2025-12-04T09:14:35.9089199Z cudagraph partition due to non gpu ops 2025-12-04T09:14:35.9089628Z cudagraph partition due to non gpu ops 2025-12-04T09:14:35.9090213Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:14:35.9090697Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/mask_ops.py", line 59, in torch_dynamo_resume_in__do_paste_mask_at_52 2025-12-04T09:14:35.9091122Z grid = torch.stack([gx, gy], dim=3) 2025-12-04T09:14:35.9091259Z 2025-12-04T09:14:58.4624540Z Compilation time (from dynamo_timed): 44.953631285 2025-12-04T09:14:58.4625284Z pass 2025-12-04T09:14:58.4625564Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:14:58.4626326Z TIMING: gc:0.04069 entire_frame_compile:44.95363 _recursive_pre_grad_passes:0.03029 _recursive_joint_graph_passes:0.30031 async_compile.wait:6.04072 inductor_compile:16.15467 backend_compile:26.49651 _recursive_post_grad_passes:0.08092 code_gen:8.15853 total_wall_time:44.95363 2025-12-04T09:14:58.4627403Z STATS: call_* op count: 764 | FakeTensorMode.__torch_dispatch__:17839 | FakeTensor.__torch_dispatch__:3113 | ProxyTorchDispatchMode.__torch_dispatch__:5271 | attempt fast:152 | slow no contiguity match:40 | fast is_contiguous:107 | slow both tensors nontrivially broadcast:5 2025-12-04T09:14:58.4628086Z Dynamo produced 67 graphs covering 764 ops with 56 graph breaks (8 unique) 2025-12-04T09:15:01.7922996Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-12-04T09:15:01.7923801Z import pynvml # type: ignore[import] 2025-12-04T09:15:03.6296451Z 2025-12-04T09:15:11.8094537Z loading model: 0it [00:00, ?it/s]W1204 09:15:11.808000 9458 site-packages/torch/fx/_symbolic_trace.py:53] is_fx_tracing will return true for both fx.symbolic_trace and torch.export. Please use is_fx_tracing_symbolic_tracing() for specifically fx.symbolic_trace or torch.compiler.is_compiling() for specifically torch.export/compile. 2025-12-04T09:15:13.3762506Z 2025-12-04T09:15:13.3762959Z loading model: 0it [00:09, ?it/s] 2025-12-04T09:15:13.3775284Z cpu eval detectron2_maskrcnn_r_50_fpn 2025-12-04T09:15:27.2963071Z WARNING:common:fp64 golden ref were not generated for detectron2_maskrcnn_r_50_fpn. Setting accuracy check to cosine 2025-12-04T09:15:27.3171680Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:15:40.5909029Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:15:53.8213702Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:16:17.8631567Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:17.8633579Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/boxes.py", line 114, in _batched_nms_vanilla 2025-12-04T09:16:17.8634001Z keep_mask = torch.zeros_like(scores, dtype=torch.bool) 2025-12-04T09:16:17.8634198Z 2025-12-04T09:16:21.9244354Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:21.9244886Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward 2025-12-04T09:16:21.9245230Z return roi_align( 2025-12-04T09:16:21.9245895Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align 2025-12-04T09:16:21.9246259Z return torch.ops.torchvision.roi_align( 2025-12-04T09:16:21.9246398Z 2025-12-04T09:16:21.9246514Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:21.9246873Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward 2025-12-04T09:16:21.9247201Z return roi_align( 2025-12-04T09:16:21.9247504Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align 2025-12-04T09:16:21.9247906Z return torch.ops.torchvision.roi_align( 2025-12-04T09:16:21.9248047Z 2025-12-04T09:16:28.2572073Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:28.2572748Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/boxes.py", line 99, in _batched_nms_coordinate_trick 2025-12-04T09:16:28.2577777Z max_coordinate = boxes.max() 2025-12-04T09:16:28.2580159Z 2025-12-04T09:16:28.2582875Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:28.2585916Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/boxes.py", line 101, in _batched_nms_coordinate_trick 2025-12-04T09:16:28.2586368Z boxes_for_nms = boxes + offsets[:, None] 2025-12-04T09:16:28.2586518Z 2025-12-04T09:16:28.9954200Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:28.9954907Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 165, in torch_dynamo_resume_in_fast_rcnn_inference_single_image_at_162 2025-12-04T09:16:28.9955492Z boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep] 2025-12-04T09:16:28.9955686Z 2025-12-04T09:16:28.9955801Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:28.9956306Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 165, in torch_dynamo_resume_in_fast_rcnn_inference_single_image_at_162 2025-12-04T09:16:28.9956851Z boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep] 2025-12-04T09:16:28.9957039Z 2025-12-04T09:16:28.9957146Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:28.9957637Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 165, in torch_dynamo_resume_in_fast_rcnn_inference_single_image_at_162 2025-12-04T09:16:28.9958146Z boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep] 2025-12-04T09:16:28.9958336Z 2025-12-04T09:16:34.2390347Z cudagraph partition due to non gpu ops 2025-12-04T09:16:34.2390779Z cudagraph partition due to non gpu ops 2025-12-04T09:16:34.2394874Z cudagraph partition due to non gpu ops 2025-12-04T09:16:34.2396907Z cudagraph partition due to non gpu ops 2025-12-04T09:16:34.2397343Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:34.2397977Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 97, in convert_boxes_to_pooler_format 2025-12-04T09:16:34.2399046Z sizes = shapes_to_tensor([x.__len__() for x in box_lists]) 2025-12-04T09:16:34.2399960Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 39, in shapes_to_tensor 2025-12-04T09:16:34.2400367Z return torch.as_tensor(x, device=device) 2025-12-04T09:16:34.2400514Z 2025-12-04T09:16:34.2400632Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:34.2401060Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 95, in convert_boxes_to_pooler_format 2025-12-04T09:16:34.2401503Z boxes = torch.cat([x.tensor for x in box_lists], dim=0) 2025-12-04T09:16:34.2401668Z 2025-12-04T09:16:40.2488343Z W1204 09:16:40.246000 9458 site-packages/torch/_dynamo/variables/tensor.py:1073] [67/0] Graph break from `Tensor.item()`, consider setting: 2025-12-04T09:16:40.2489770Z W1204 09:16:40.246000 9458 site-packages/torch/_dynamo/variables/tensor.py:1073] [67/0] torch._dynamo.config.capture_scalar_outputs = True 2025-12-04T09:16:40.2490245Z W1204 09:16:40.246000 9458 site-packages/torch/_dynamo/variables/tensor.py:1073] [67/0] or: 2025-12-04T09:16:40.2490690Z W1204 09:16:40.246000 9458 site-packages/torch/_dynamo/variables/tensor.py:1073] [67/0] env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1 2025-12-04T09:16:40.2491194Z W1204 09:16:40.246000 9458 site-packages/torch/_dynamo/variables/tensor.py:1073] [67/0] to include these operations in the captured graph. 2025-12-04T09:16:40.2491706Z W1204 09:16:40.246000 9458 site-packages/torch/_dynamo/variables/tensor.py:1073] [67/0] 2025-12-04T09:16:40.2492125Z W1204 09:16:40.246000 9458 site-packages/torch/_dynamo/variables/tensor.py:1073] [67/0] Graph break: from user code at: 2025-12-04T09:16:40.2492892Z W1204 09:16:40.246000 9458 site-packages/torch/_dynamo/variables/tensor.py:1073] [67/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/mask_ops.py", line 67, in torch_dynamo_resume_in__do_paste_mask_at_52 2025-12-04T09:16:40.2493677Z W1204 09:16:40.246000 9458 site-packages/torch/_dynamo/variables/tensor.py:1073] [67/0] return img_masks[:, 0], (slice(y0_int, y1_int), slice(x0_int, x1_int)) 2025-12-04T09:16:40.2494147Z W1204 09:16:40.246000 9458 site-packages/torch/_dynamo/variables/tensor.py:1073] [67/0] 2025-12-04T09:16:40.2494491Z W1204 09:16:40.246000 9458 site-packages/torch/_dynamo/variables/tensor.py:1073] [67/0] 2025-12-04T09:16:41.3622892Z cudagraph partition due to non gpu ops 2025-12-04T09:16:41.3623215Z cudagraph partition due to non gpu ops 2025-12-04T09:16:41.3623452Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:41.3623948Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/mask_ops.py", line 59, in torch_dynamo_resume_in__do_paste_mask_at_52 2025-12-04T09:16:41.3624400Z grid = torch.stack([gx, gy], dim=3) 2025-12-04T09:16:41.3624538Z 2025-12-04T09:16:55.8445060Z Compilation time (from dynamo_timed): 51.301417122 2025-12-04T09:16:55.8445405Z pass 2025-12-04T09:16:55.8445785Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:16:55.8446672Z TIMING: gc:0.05306 entire_frame_compile:51.30142 _recursive_pre_grad_passes:0.03716 _recursive_joint_graph_passes:0.38169 async_compile.wait:2.2843 inductor_compile:11.09144 backend_compile:24.33765 _recursive_post_grad_passes:0.02784 code_gen:2.84818 total_wall_time:51.30142 2025-12-04T09:16:55.8447935Z STATS: call_* op count: 1130 | FakeTensorMode.__torch_dispatch__:22843 | FakeTensor.__torch_dispatch__:1501 | ProxyTorchDispatchMode.__torch_dispatch__:5744 | attempt fast:208 | slow no contiguity match:62 | fast is_contiguous:141 | slow both tensors nontrivially broadcast:5 2025-12-04T09:16:55.8448700Z Dynamo produced 78 graphs covering 1130 ops with 62 graph breaks (8 unique) 2025-12-04T09:17:00.5963490Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-12-04T09:17:00.5964729Z import pynvml # type: ignore[import] 2025-12-04T09:17:02.4881946Z 2025-12-04T09:17:08.6935344Z loading model: 0it [00:00, ?it/s] 2025-12-04T09:17:08.6939480Z loading model: 0it [00:06, ?it/s] 2025-12-04T09:17:08.6943497Z cpu eval dlrm 2025-12-04T09:17:09.5559591Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:17:09.8622268Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:17:10.1652939Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:17:12.3220086Z cudagraph partition due to non gpu ops 2025-12-04T09:17:12.3222315Z cudagraph partition due to non gpu ops 2025-12-04T09:17:12.3222692Z cudagraph partition due to non gpu ops 2025-12-04T09:17:12.3223029Z cudagraph partition due to non gpu ops 2025-12-04T09:17:12.3223382Z cudagraph partition due to non gpu ops 2025-12-04T09:17:12.3223705Z cudagraph partition due to non gpu ops 2025-12-04T09:17:12.3224040Z cudagraph partition due to non gpu ops 2025-12-04T09:17:12.3224391Z cudagraph partition due to non gpu ops 2025-12-04T09:17:12.3224773Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:17:12.3225964Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:17:12.3226496Z return mod(*inputs) 2025-12-04T09:17:12.3226939Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward 2025-12-04T09:17:12.3227469Z return self.sequential_forward(dense_x, lS_o, lS_i) 2025-12-04T09:17:12.3228144Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 360, in sequential_forward 2025-12-04T09:17:12.3228699Z x = self.apply_mlp(dense_x, self.bot_l) 2025-12-04T09:17:12.3229210Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp 2025-12-04T09:17:12.3229703Z return layers(x) 2025-12-04T09:17:12.3229865Z 2025-12-04T09:17:12.3230028Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:17:12.3230626Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:17:12.3231144Z return mod(*inputs) 2025-12-04T09:17:12.3231598Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward 2025-12-04T09:17:12.3232141Z return self.sequential_forward(dense_x, lS_o, lS_i) 2025-12-04T09:17:12.3232723Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 366, in sequential_forward 2025-12-04T09:17:12.3233284Z ly = self.apply_emb(lS_o, lS_i, self.emb_l) 2025-12-04T09:17:12.3233822Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 307, in apply_emb 2025-12-04T09:17:12.3234457Z V = E(sparse_index_group_batch, sparse_offset_group_batch) 2025-12-04T09:17:12.3234735Z 2025-12-04T09:17:12.3234902Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:17:12.3235497Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:17:12.3236013Z return mod(*inputs) 2025-12-04T09:17:12.3236462Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward 2025-12-04T09:17:12.3237008Z return self.sequential_forward(dense_x, lS_o, lS_i) 2025-12-04T09:17:12.3237568Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 366, in sequential_forward 2025-12-04T09:17:12.3238111Z ly = self.apply_emb(lS_o, lS_i, self.emb_l) 2025-12-04T09:17:12.3238639Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 307, in apply_emb 2025-12-04T09:17:12.3239217Z V = E(sparse_index_group_batch, sparse_offset_group_batch) 2025-12-04T09:17:12.3239494Z 2025-12-04T09:17:12.3239660Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:17:12.3240389Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:17:12.3240921Z return mod(*inputs) 2025-12-04T09:17:12.3241365Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward 2025-12-04T09:17:12.3241904Z return self.sequential_forward(dense_x, lS_o, lS_i) 2025-12-04T09:17:12.3242628Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 366, in sequential_forward 2025-12-04T09:17:12.3243225Z ly = self.apply_emb(lS_o, lS_i, self.emb_l) 2025-12-04T09:17:12.3243771Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 307, in apply_emb 2025-12-04T09:17:12.3244409Z V = E(sparse_index_group_batch, sparse_offset_group_batch) 2025-12-04T09:17:12.3244819Z 2025-12-04T09:17:12.3245001Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:17:12.3245592Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:17:12.3246138Z return mod(*inputs) 2025-12-04T09:17:12.3246612Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward 2025-12-04T09:17:12.3247181Z return self.sequential_forward(dense_x, lS_o, lS_i) 2025-12-04T09:17:12.3247778Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 366, in sequential_forward 2025-12-04T09:17:12.3248426Z ly = self.apply_emb(lS_o, lS_i, self.emb_l) 2025-12-04T09:17:12.3248977Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 307, in apply_emb 2025-12-04T09:17:12.3249572Z V = E(sparse_index_group_batch, sparse_offset_group_batch) 2025-12-04T09:17:12.3249857Z 2025-12-04T09:17:12.3250035Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:17:12.3250697Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:17:12.3251263Z return mod(*inputs) 2025-12-04T09:17:12.3251724Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward 2025-12-04T09:17:12.3252311Z return self.sequential_forward(dense_x, lS_o, lS_i) 2025-12-04T09:17:12.3252919Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 366, in sequential_forward 2025-12-04T09:17:12.3253504Z ly = self.apply_emb(lS_o, lS_i, self.emb_l) 2025-12-04T09:17:12.3254038Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 307, in apply_emb 2025-12-04T09:17:12.3254610Z V = E(sparse_index_group_batch, sparse_offset_group_batch) 2025-12-04T09:17:12.3254881Z 2025-12-04T09:17:12.3255059Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:17:12.3255652Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:17:12.3256180Z return mod(*inputs) 2025-12-04T09:17:12.3256631Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward 2025-12-04T09:17:12.3257170Z return self.sequential_forward(dense_x, lS_o, lS_i) 2025-12-04T09:17:12.3257751Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 366, in sequential_forward 2025-12-04T09:17:12.3258313Z ly = self.apply_emb(lS_o, lS_i, self.emb_l) 2025-12-04T09:17:12.3258838Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 307, in apply_emb 2025-12-04T09:17:12.3259408Z V = E(sparse_index_group_batch, sparse_offset_group_batch) 2025-12-04T09:17:12.3259677Z 2025-12-04T09:17:12.3259841Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:17:12.3260432Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:17:12.3260963Z return mod(*inputs) 2025-12-04T09:17:12.3261410Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward 2025-12-04T09:17:12.3261965Z return self.sequential_forward(dense_x, lS_o, lS_i) 2025-12-04T09:17:12.3262556Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 366, in sequential_forward 2025-12-04T09:17:12.3263180Z ly = self.apply_emb(lS_o, lS_i, self.emb_l) 2025-12-04T09:17:12.3263704Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 307, in apply_emb 2025-12-04T09:17:12.3264282Z V = E(sparse_index_group_batch, sparse_offset_group_batch) 2025-12-04T09:17:12.3264553Z 2025-12-04T09:17:12.3264733Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:17:12.3265331Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:17:12.3265866Z return mod(*inputs) 2025-12-04T09:17:12.3266316Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward 2025-12-04T09:17:12.3266870Z return self.sequential_forward(dense_x, lS_o, lS_i) 2025-12-04T09:17:12.3267503Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 366, in sequential_forward 2025-12-04T09:17:12.3268072Z ly = self.apply_emb(lS_o, lS_i, self.emb_l) 2025-12-04T09:17:12.3268605Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 307, in apply_emb 2025-12-04T09:17:12.3269173Z V = E(sparse_index_group_batch, sparse_offset_group_batch) 2025-12-04T09:17:12.3269453Z 2025-12-04T09:17:12.3269622Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:17:12.3270216Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:17:12.3270787Z return mod(*inputs) 2025-12-04T09:17:12.3271233Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward 2025-12-04T09:17:12.3271785Z return self.sequential_forward(dense_x, lS_o, lS_i) 2025-12-04T09:17:12.3272441Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 360, in sequential_forward 2025-12-04T09:17:12.3273008Z x = self.apply_mlp(dense_x, self.bot_l) 2025-12-04T09:17:12.3273523Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp 2025-12-04T09:17:12.3274014Z return layers(x) 2025-12-04T09:17:12.3274175Z 2025-12-04T09:17:12.3274344Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:17:12.3274921Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:17:12.3275445Z return mod(*inputs) 2025-12-04T09:17:12.3275889Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward 2025-12-04T09:17:12.3276435Z return self.sequential_forward(dense_x, lS_o, lS_i) 2025-12-04T09:17:12.3277011Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 360, in sequential_forward 2025-12-04T09:17:12.3277568Z x = self.apply_mlp(dense_x, self.bot_l) 2025-12-04T09:17:12.3278093Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp 2025-12-04T09:17:12.3278578Z return layers(x) 2025-12-04T09:17:12.3278741Z 2025-12-04T09:17:12.3278865Z cudagraph partition due to non gpu ops 2025-12-04T09:17:12.3279205Z cudagraph partition due to non gpu ops 2025-12-04T09:17:12.3279538Z cudagraph partition due to non gpu ops 2025-12-04T09:17:12.3279862Z cudagraph partition due to non gpu ops 2025-12-04T09:17:12.3280203Z cudagraph partition due to non gpu ops 2025-12-04T09:17:12.3280525Z cudagraph partition due to non gpu ops 2025-12-04T09:17:12.3280837Z cudagraph partition due to non gpu ops 2025-12-04T09:17:12.3281167Z cudagraph partition due to non gpu ops 2025-12-04T09:17:12.3281531Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:17:12.3282238Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:17:12.3282799Z return mod(*inputs) 2025-12-04T09:17:12.3283280Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward 2025-12-04T09:17:12.3283832Z return self.sequential_forward(dense_x, lS_o, lS_i) 2025-12-04T09:17:12.3284445Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 371, in sequential_forward 2025-12-04T09:17:12.3285089Z z = self.interact_features(x, ly) 2025-12-04T09:17:12.3285661Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 318, in interact_features 2025-12-04T09:17:12.3286292Z T = torch.cat([x] + ly, dim=1).view((batch_size, -1, d)) 2025-12-04T09:17:12.3286584Z 2025-12-04T09:17:12.3286760Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:17:12.3287391Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:17:12.3287955Z return mod(*inputs) 2025-12-04T09:17:12.3288426Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward 2025-12-04T09:17:12.3289005Z return self.sequential_forward(dense_x, lS_o, lS_i) 2025-12-04T09:17:12.3289716Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 371, in sequential_forward 2025-12-04T09:17:12.3290292Z z = self.interact_features(x, ly) 2025-12-04T09:17:12.3290866Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 320, in interact_features 2025-12-04T09:17:12.3291463Z Z = torch.bmm(T, torch.transpose(T, 1, 2)) 2025-12-04T09:17:12.3291705Z 2025-12-04T09:17:12.3291889Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:17:12.3292508Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:17:12.3293078Z return mod(*inputs) 2025-12-04T09:17:12.3293522Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward 2025-12-04T09:17:12.3294066Z return self.sequential_forward(dense_x, lS_o, lS_i) 2025-12-04T09:17:12.3294644Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 371, in sequential_forward 2025-12-04T09:17:12.3295223Z z = self.interact_features(x, ly) 2025-12-04T09:17:12.3295756Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 337, in interact_features 2025-12-04T09:17:12.3296272Z Zflat = Z[:, li, lj] 2025-12-04T09:17:12.3296435Z 2025-12-04T09:17:12.3296596Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:17:12.3297172Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:17:12.3297682Z return mod(*inputs) 2025-12-04T09:17:12.3298108Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward 2025-12-04T09:17:12.3298643Z return self.sequential_forward(dense_x, lS_o, lS_i) 2025-12-04T09:17:12.3299228Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 371, in sequential_forward 2025-12-04T09:17:12.3299772Z z = self.interact_features(x, ly) 2025-12-04T09:17:12.3300307Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 339, in interact_features 2025-12-04T09:17:12.3300854Z R = torch.cat([x] + [Zflat], dim=1) 2025-12-04T09:17:12.3301062Z 2025-12-04T09:17:12.3301231Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:17:12.3301821Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:17:12.3302356Z return mod(*inputs) 2025-12-04T09:17:12.3302800Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward 2025-12-04T09:17:12.3303333Z return self.sequential_forward(dense_x, lS_o, lS_i) 2025-12-04T09:17:12.3303922Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 375, in sequential_forward 2025-12-04T09:17:12.3304469Z p = self.apply_mlp(z, self.top_l) 2025-12-04T09:17:12.3304966Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp 2025-12-04T09:17:12.3305472Z return layers(x) 2025-12-04T09:17:12.3305630Z 2025-12-04T09:17:12.3305805Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:17:12.3306395Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:17:12.3306912Z return mod(*inputs) 2025-12-04T09:17:12.3307417Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward 2025-12-04T09:17:12.3307966Z return self.sequential_forward(dense_x, lS_o, lS_i) 2025-12-04T09:17:12.3308535Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 375, in sequential_forward 2025-12-04T09:17:12.3309082Z p = self.apply_mlp(z, self.top_l) 2025-12-04T09:17:12.3309599Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp 2025-12-04T09:17:12.3310096Z return layers(x) 2025-12-04T09:17:12.3310245Z 2025-12-04T09:17:12.3310410Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:17:12.3311000Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:17:12.3311581Z return mod(*inputs) 2025-12-04T09:17:12.3312020Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward 2025-12-04T09:17:12.3312569Z return self.sequential_forward(dense_x, lS_o, lS_i) 2025-12-04T09:17:12.3313152Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 375, in sequential_forward 2025-12-04T09:17:12.3313704Z p = self.apply_mlp(z, self.top_l) 2025-12-04T09:17:12.3314198Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp 2025-12-04T09:17:12.3314690Z return layers(x) 2025-12-04T09:17:12.3314886Z 2025-12-04T09:17:12.3315072Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:17:12.3315823Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:17:12.3316351Z return mod(*inputs) 2025-12-04T09:17:12.3316902Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward 2025-12-04T09:17:12.3317449Z return self.sequential_forward(dense_x, lS_o, lS_i) 2025-12-04T09:17:12.3318036Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 375, in sequential_forward 2025-12-04T09:17:12.3318599Z p = self.apply_mlp(z, self.top_l) 2025-12-04T09:17:12.3319119Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp 2025-12-04T09:17:12.3319606Z return layers(x) 2025-12-04T09:17:12.3319772Z 2025-12-04T09:17:12.3319932Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:17:12.3320532Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:17:12.3321059Z return mod(*inputs) 2025-12-04T09:17:12.3321509Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward 2025-12-04T09:17:12.3322130Z return self.sequential_forward(dense_x, lS_o, lS_i) 2025-12-04T09:17:12.3322738Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 375, in sequential_forward 2025-12-04T09:17:12.3323288Z p = self.apply_mlp(z, self.top_l) 2025-12-04T09:17:12.3323799Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp 2025-12-04T09:17:12.3324297Z return layers(x) 2025-12-04T09:17:12.3324454Z 2025-12-04T09:17:12.3324619Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:17:12.3325217Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:17:12.3325753Z return mod(*inputs) 2025-12-04T09:17:12.3326205Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward 2025-12-04T09:17:12.3326756Z return self.sequential_forward(dense_x, lS_o, lS_i) 2025-12-04T09:17:12.3327347Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 375, in sequential_forward 2025-12-04T09:17:12.3327911Z p = self.apply_mlp(z, self.top_l) 2025-12-04T09:17:12.3328422Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp 2025-12-04T09:17:12.3328928Z return layers(x) 2025-12-04T09:17:12.3329090Z 2025-12-04T09:17:12.3329254Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:17:12.3329950Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:17:12.3330467Z return mod(*inputs) 2025-12-04T09:17:12.3330913Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward 2025-12-04T09:17:12.3331460Z return self.sequential_forward(dense_x, lS_o, lS_i) 2025-12-04T09:17:12.3332045Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 375, in sequential_forward 2025-12-04T09:17:12.3332601Z p = self.apply_mlp(z, self.top_l) 2025-12-04T09:17:12.3333109Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp 2025-12-04T09:17:12.3333599Z return layers(x) 2025-12-04T09:17:12.3333826Z 2025-12-04T09:17:12.3333992Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:17:12.3334585Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:17:12.3335109Z return mod(*inputs) 2025-12-04T09:17:12.3335541Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward 2025-12-04T09:17:12.3336086Z return self.sequential_forward(dense_x, lS_o, lS_i) 2025-12-04T09:17:12.3336670Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 375, in sequential_forward 2025-12-04T09:17:12.3337225Z p = self.apply_mlp(z, self.top_l) 2025-12-04T09:17:12.3337786Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp 2025-12-04T09:17:12.3338282Z return layers(x) 2025-12-04T09:17:12.3338428Z 2025-12-04T09:17:19.6212848Z Compilation time (from dynamo_timed): 8.765663346 2025-12-04T09:17:19.6213146Z pass 2025-12-04T09:17:19.6213701Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:17:19.6214450Z TIMING: _recursive_pre_grad_passes:0.00372 _recursive_joint_graph_passes:0.26553 _recursive_post_grad_passes:0.01524 async_compile.wait:0.56768 code_gen:7.18766 inductor_compile:7.32498 backend_compile:8.36344 gc:0.00061 entire_frame_compile:8.76566 total_wall_time:8.76566 2025-12-04T09:17:19.6215318Z STATS: call_* op count: 36 | FakeTensorMode.__torch_dispatch__:1204 | FakeTensor.__torch_dispatch__:365 | ProxyTorchDispatchMode.__torch_dispatch__:192 2025-12-04T09:17:19.6215963Z Dynamo produced 1 graphs covering 36 ops with 0 graph breaks (0 unique) 2025-12-04T09:17:20.7586425Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-12-04T09:17:20.7587813Z import pynvml # type: ignore[import] 2025-12-04T09:17:22.6171049Z 2025-12-04T09:17:24.8989845Z loading model: 0it [00:00, ?it/s]Downloading https://doctr-static.mindee.com/models?id=v0.7.0/db_resnet50-79bd7d70.pt&src=0 to /var/lib/jenkins/.cache/doctr/models/db_resnet50-79bd7d70.pt 2025-12-04T09:17:25.2130094Z 2025-12-04T09:17:25.2130289Z 2025-12-04T09:17:25.3246004Z 0% 0/102021912 [00:00 2025-12-04T09:18:19.3781685Z _x: list[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)] 2025-12-04T09:18:19.3781873Z 2025-12-04T09:18:19.3782014Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:18:19.3782447Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward 2025-12-04T09:18:19.3782859Z feat_concat = self.fpn(feats) 2025-12-04T09:18:19.3783260Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 84, in forward 2025-12-04T09:18:19.3783725Z _x: list[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)] 2025-12-04T09:18:19.3784188Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 84, in 2025-12-04T09:18:19.3784659Z _x: list[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)] 2025-12-04T09:18:19.3784838Z 2025-12-04T09:18:19.3784939Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:18:19.3785376Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward 2025-12-04T09:18:19.3785777Z feat_concat = self.fpn(feats) 2025-12-04T09:18:19.3786171Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 84, in forward 2025-12-04T09:18:19.3786635Z _x: list[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)] 2025-12-04T09:18:19.3787106Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 84, in 2025-12-04T09:18:19.3787575Z _x: list[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)] 2025-12-04T09:18:19.3787759Z 2025-12-04T09:18:19.3787855Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:18:19.3788294Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward 2025-12-04T09:18:19.3788693Z feat_concat = self.fpn(feats) 2025-12-04T09:18:19.3789091Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 87, in forward 2025-12-04T09:18:19.3789523Z out.append(self.upsample(out[-1]) + t) 2025-12-04T09:18:19.3789657Z 2025-12-04T09:18:19.3789762Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:18:19.3790195Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward 2025-12-04T09:18:19.3790611Z feat_concat = self.fpn(feats) 2025-12-04T09:18:19.3791012Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 84, in forward 2025-12-04T09:18:19.3791479Z _x: list[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)] 2025-12-04T09:18:19.3791968Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 84, in 2025-12-04T09:18:19.3792442Z _x: list[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)] 2025-12-04T09:18:19.3792625Z 2025-12-04T09:18:19.3792723Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:18:19.3793158Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward 2025-12-04T09:18:19.3793562Z feat_concat = self.fpn(feats) 2025-12-04T09:18:19.3793964Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 87, in forward 2025-12-04T09:18:19.3794403Z out.append(self.upsample(out[-1]) + t) 2025-12-04T09:18:19.3794537Z 2025-12-04T09:18:19.3794640Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:18:19.3795087Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward 2025-12-04T09:18:19.3795499Z feat_concat = self.fpn(feats) 2025-12-04T09:18:19.3795900Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 84, in forward 2025-12-04T09:18:19.3796363Z _x: list[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)] 2025-12-04T09:18:19.3796837Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 84, in 2025-12-04T09:18:19.3797308Z _x: list[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)] 2025-12-04T09:18:19.3797487Z 2025-12-04T09:18:19.3797589Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:18:19.3798019Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward 2025-12-04T09:18:19.3798432Z feat_concat = self.fpn(feats) 2025-12-04T09:18:19.3798834Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 87, in forward 2025-12-04T09:18:19.3799255Z out.append(self.upsample(out[-1]) + t) 2025-12-04T09:18:19.3799384Z 2025-12-04T09:18:19.3799479Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:18:19.3799916Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward 2025-12-04T09:18:19.3800324Z feat_concat = self.fpn(feats) 2025-12-04T09:18:19.3800723Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in forward 2025-12-04T09:18:19.3801232Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-12-04T09:18:19.3801705Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in 2025-12-04T09:18:19.3802241Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-12-04T09:18:19.3802415Z 2025-12-04T09:18:19.3802541Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:18:19.3802991Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward 2025-12-04T09:18:19.3803423Z feat_concat = self.fpn(feats) 2025-12-04T09:18:19.3803834Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in forward 2025-12-04T09:18:19.3804311Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-12-04T09:18:19.3804788Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in 2025-12-04T09:18:19.3805284Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-12-04T09:18:19.3805453Z 2025-12-04T09:18:19.3805561Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:18:19.3806011Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward 2025-12-04T09:18:19.3806420Z feat_concat = self.fpn(feats) 2025-12-04T09:18:19.3806827Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in forward 2025-12-04T09:18:19.3807306Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-12-04T09:18:19.3807772Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in 2025-12-04T09:18:19.3808226Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-12-04T09:18:19.3808399Z 2025-12-04T09:18:19.3808513Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:18:19.3808965Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward 2025-12-04T09:18:19.3809391Z feat_concat = self.fpn(feats) 2025-12-04T09:18:19.3809795Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in forward 2025-12-04T09:18:19.3810260Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-12-04T09:18:19.3810728Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in 2025-12-04T09:18:19.3811193Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-12-04T09:18:19.3811366Z 2025-12-04T09:18:19.3811465Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:18:19.3811915Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward 2025-12-04T09:18:19.3812337Z feat_concat = self.fpn(feats) 2025-12-04T09:18:19.3812743Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in forward 2025-12-04T09:18:19.3813210Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-12-04T09:18:19.3813680Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in 2025-12-04T09:18:19.3814150Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-12-04T09:18:19.3814317Z 2025-12-04T09:18:19.3814417Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:18:19.3814868Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward 2025-12-04T09:18:19.3815289Z feat_concat = self.fpn(feats) 2025-12-04T09:18:19.3815857Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in forward 2025-12-04T09:18:19.3816384Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-12-04T09:18:19.3816848Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in 2025-12-04T09:18:19.3817306Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-12-04T09:18:19.3817469Z 2025-12-04T09:18:19.3817573Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:18:19.3818003Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward 2025-12-04T09:18:19.3818408Z feat_concat = self.fpn(feats) 2025-12-04T09:18:19.3818839Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in forward 2025-12-04T09:18:19.3819292Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-12-04T09:18:19.3819747Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in 2025-12-04T09:18:19.3820210Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-12-04T09:18:19.3820381Z 2025-12-04T09:18:19.3820478Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:18:19.3820934Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward 2025-12-04T09:18:19.3821332Z feat_concat = self.fpn(feats) 2025-12-04T09:18:19.3821752Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in forward 2025-12-04T09:18:19.3822207Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-12-04T09:18:19.3822670Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in 2025-12-04T09:18:19.3823119Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-12-04T09:18:19.3823290Z 2025-12-04T09:18:19.3823387Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:18:19.3823826Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward 2025-12-04T09:18:19.3824235Z feat_concat = self.fpn(feats) 2025-12-04T09:18:19.3824625Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 92, in forward 2025-12-04T09:18:19.3825033Z return torch.cat(out, dim=1) 2025-12-04T09:18:19.3825151Z 2025-12-04T09:18:19.3825237Z cudagraph partition due to non gpu ops 2025-12-04T09:18:19.3825457Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:18:19.3825896Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 203, in forward 2025-12-04T09:18:19.3826315Z logits = self.prob_head(feat_concat) 2025-12-04T09:18:19.3826440Z 2025-12-04T09:18:19.3826542Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:18:19.3826971Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 203, in forward 2025-12-04T09:18:19.3827388Z logits = self.prob_head(feat_concat) 2025-12-04T09:18:19.3827513Z 2025-12-04T09:18:19.3827613Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:18:19.3828050Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 203, in forward 2025-12-04T09:18:19.3828459Z logits = self.prob_head(feat_concat) 2025-12-04T09:18:19.3828590Z 2025-12-04T09:18:19.3828685Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:18:19.3829138Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 203, in forward 2025-12-04T09:18:19.3829550Z logits = self.prob_head(feat_concat) 2025-12-04T09:18:19.3829674Z 2025-12-04T09:18:19.3829750Z cudagraph partition due to non gpu ops 2025-12-04T09:18:19.3829975Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:18:19.3830411Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 211, in forward 2025-12-04T09:18:19.3830841Z prob_map = _bf16_to_float32(torch.sigmoid(logits)) 2025-12-04T09:18:19.3830995Z 2025-12-04T09:18:38.4152463Z Compilation time (from dynamo_timed): 27.509710064 2025-12-04T09:18:38.4153040Z pass 2025-12-04T09:18:38.4153313Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:18:38.4154049Z TIMING: gc:0.00101 entire_frame_compile:27.50971 _recursive_pre_grad_passes:0.00664 _recursive_joint_graph_passes:0.16548 _recursive_post_grad_passes:0.09902 async_compile.wait:2.35779 code_gen:14.5882 inductor_compile:16.67289 backend_compile:20.21306 total_wall_time:27.50971 2025-12-04T09:18:38.4154906Z STATS: call_* op count: 215 | FakeTensorMode.__torch_dispatch__:10726 | FakeTensor.__torch_dispatch__:7820 | ProxyTorchDispatchMode.__torch_dispatch__:3990 2025-12-04T09:18:38.4155518Z Dynamo produced 1 graphs covering 215 ops with 3 graph breaks (2 unique) 2025-12-04T09:18:40.0547705Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-12-04T09:18:40.0548936Z import pynvml # type: ignore[import] 2025-12-04T09:18:41.9172835Z 2025-12-04T09:18:44.0676766Z loading model: 0it [00:00, ?it/s] 2025-12-04T09:18:44.0677031Z loading model: 0it [00:02, ?it/s] 2025-12-04T09:18:44.0679871Z cpu eval doctr_reco_predictor 2025-12-04T09:18:44.2701421Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:18:44.3509027Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:18:44.4281445Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:18:48.0685314Z cudagraph partition due to non gpu ops 2025-12-04T09:18:48.0685647Z cudagraph partition due to non gpu ops 2025-12-04T09:18:48.0685858Z cudagraph partition due to non gpu ops 2025-12-04T09:18:48.0686050Z cudagraph partition due to non gpu ops 2025-12-04T09:18:48.0686288Z cudagraph partition due to non gpu ops 2025-12-04T09:18:48.0686485Z cudagraph partition due to non gpu ops 2025-12-04T09:18:48.0686709Z cudagraph partition due to non gpu ops 2025-12-04T09:18:48.0686905Z cudagraph partition due to non gpu ops 2025-12-04T09:18:48.0687098Z cudagraph partition due to non gpu ops 2025-12-04T09:18:48.0687295Z cudagraph partition due to non gpu ops 2025-12-04T09:18:48.0687492Z cudagraph partition due to non gpu ops 2025-12-04T09:18:48.0687682Z cudagraph partition due to non gpu ops 2025-12-04T09:18:48.0687886Z cudagraph partition due to non gpu ops 2025-12-04T09:18:48.0688079Z cudagraph partition due to non gpu ops 2025-12-04T09:18:48.0688318Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:18:48.0688758Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward 2025-12-04T09:18:48.0689157Z features = self.feat_extractor(x) 2025-12-04T09:18:48.0689289Z 2025-12-04T09:18:48.0689418Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:18:48.0689853Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward 2025-12-04T09:18:48.0690234Z features = self.feat_extractor(x) 2025-12-04T09:18:48.0691122Z 2025-12-04T09:18:48.0691240Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:18:48.0691652Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward 2025-12-04T09:18:48.0692021Z features = self.feat_extractor(x) 2025-12-04T09:18:48.0692155Z 2025-12-04T09:18:48.0692261Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:18:48.0692663Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward 2025-12-04T09:18:48.0693038Z features = self.feat_extractor(x) 2025-12-04T09:18:48.0693160Z 2025-12-04T09:18:48.0693319Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:18:48.0693714Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward 2025-12-04T09:18:48.0694082Z features = self.feat_extractor(x) 2025-12-04T09:18:48.0694202Z 2025-12-04T09:18:48.0694308Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:18:48.0694692Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward 2025-12-04T09:18:48.0695058Z features = self.feat_extractor(x) 2025-12-04T09:18:48.0695179Z 2025-12-04T09:18:48.0695353Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:18:48.0695747Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward 2025-12-04T09:18:48.0696123Z features = self.feat_extractor(x) 2025-12-04T09:18:48.0696253Z 2025-12-04T09:18:48.0696479Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:18:48.0696941Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward 2025-12-04T09:18:48.0697314Z features = self.feat_extractor(x) 2025-12-04T09:18:48.0697436Z 2025-12-04T09:18:48.0697535Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:18:48.0697969Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward 2025-12-04T09:18:48.0698345Z features = self.feat_extractor(x) 2025-12-04T09:18:48.0698467Z 2025-12-04T09:18:48.0698570Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:18:48.0698959Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward 2025-12-04T09:18:48.0699331Z features = self.feat_extractor(x) 2025-12-04T09:18:48.0699451Z 2025-12-04T09:18:48.0699555Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:18:48.0699944Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward 2025-12-04T09:18:48.0700318Z features = self.feat_extractor(x) 2025-12-04T09:18:48.0700446Z 2025-12-04T09:18:48.0700545Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:18:48.0700940Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward 2025-12-04T09:18:48.0701299Z features = self.feat_extractor(x) 2025-12-04T09:18:48.0701431Z 2025-12-04T09:18:48.0701526Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:18:48.0701924Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward 2025-12-04T09:18:48.0702291Z features = self.feat_extractor(x) 2025-12-04T09:18:48.0702411Z 2025-12-04T09:18:48.0702507Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:18:48.0702902Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward 2025-12-04T09:18:48.0703273Z features = self.feat_extractor(x) 2025-12-04T09:18:48.0703393Z 2025-12-04T09:18:48.0703525Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:18:48.0703961Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward 2025-12-04T09:18:48.0704333Z features = self.feat_extractor(x) 2025-12-04T09:18:48.0704452Z 2025-12-04T09:18:48.0704555Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:18:48.0704944Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward 2025-12-04T09:18:48.0705313Z features = self.feat_extractor(x) 2025-12-04T09:18:48.0705438Z 2025-12-04T09:18:48.0705535Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:18:48.0705959Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward 2025-12-04T09:18:48.0706311Z features = self.feat_extractor(x) 2025-12-04T09:18:48.0706435Z 2025-12-04T09:18:48.0706530Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:18:48.0706910Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward 2025-12-04T09:18:48.0707267Z features = self.feat_extractor(x) 2025-12-04T09:18:48.0707384Z 2025-12-04T09:18:48.0707478Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:18:48.0707912Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward 2025-12-04T09:18:48.0708267Z features = self.feat_extractor(x) 2025-12-04T09:18:48.0708383Z 2025-12-04T09:18:48.0708477Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:18:48.0708878Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward 2025-12-04T09:18:48.0709246Z features = self.feat_extractor(x) 2025-12-04T09:18:48.0709364Z 2025-12-04T09:18:48.0709463Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:18:48.0709842Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward 2025-12-04T09:18:48.0710202Z features = self.feat_extractor(x) 2025-12-04T09:18:48.0710326Z 2025-12-04T09:18:48.0710422Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:18:48.0710809Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward 2025-12-04T09:18:48.0711168Z features = self.feat_extractor(x) 2025-12-04T09:18:48.0711293Z 2025-12-04T09:18:48.0711388Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:18:48.0711774Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward 2025-12-04T09:18:48.0712139Z features = self.feat_extractor(x) 2025-12-04T09:18:48.0712258Z 2025-12-04T09:18:48.0712351Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:18:48.0712737Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward 2025-12-04T09:18:48.0713097Z features = self.feat_extractor(x) 2025-12-04T09:18:48.0713215Z 2025-12-04T09:18:48.0713309Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:18:48.0713700Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward 2025-12-04T09:18:48.0714063Z features = self.feat_extractor(x) 2025-12-04T09:18:48.0714180Z 2025-12-04T09:18:48.0714282Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:18:48.0714660Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward 2025-12-04T09:18:48.0715025Z features = self.feat_extractor(x) 2025-12-04T09:18:48.0715144Z 2025-12-04T09:18:48.0715247Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:18:48.0715871Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward 2025-12-04T09:18:48.0716234Z features = self.feat_extractor(x) 2025-12-04T09:18:48.0716362Z 2025-12-04T09:18:48.0716460Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:18:48.0716854Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward 2025-12-04T09:18:48.0717217Z features = self.feat_extractor(x) 2025-12-04T09:18:48.0717349Z 2025-12-04T09:18:48.0717447Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:18:48.0717845Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward 2025-12-04T09:18:48.0718261Z features = self.feat_extractor(x) 2025-12-04T09:18:48.0718381Z 2025-12-04T09:18:48.0718477Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:18:48.0718872Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward 2025-12-04T09:18:48.0719239Z features = self.feat_extractor(x) 2025-12-04T09:18:48.0719357Z 2025-12-04T09:18:48.0719460Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:18:48.0719844Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward 2025-12-04T09:18:48.0720238Z features = self.feat_extractor(x) 2025-12-04T09:18:48.0720359Z 2025-12-04T09:18:56.9783561Z Compilation time (from dynamo_timed): 12.060203044 2025-12-04T09:18:56.9783837Z pass 2025-12-04T09:18:56.9785270Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:18:56.9786278Z TIMING: gc:0.00066 entire_frame_compile:12.0602 _recursive_pre_grad_passes:0.00386 _recursive_joint_graph_passes:0.12201 _recursive_post_grad_passes:0.02513 async_compile.wait:0.85456 code_gen:8.76367 inductor_compile:9.12579 backend_compile:10.38787 total_wall_time:12.0602 2025-12-04T09:18:56.9787131Z STATS: call_* op count: 46 | FakeTensorMode.__torch_dispatch__:2421 | FakeTensor.__torch_dispatch__:1328 | ProxyTorchDispatchMode.__torch_dispatch__:722 2025-12-04T09:18:56.9787588Z Dynamo produced 1 graphs covering 46 ops with 1 graph breaks (1 unique) 2025-12-04T09:18:58.2547023Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-12-04T09:18:58.2548317Z import pynvml # type: ignore[import] 2025-12-04T09:19:00.1133631Z 2025-12-04T09:19:00.2327575Z loading model: 0it [00:00, ?it/s]Gym has been unmaintained since 2022 and does not support NumPy 2.0 amongst other critical functionality. 2025-12-04T09:19:00.2329283Z Please upgrade to Gymnasium, the maintained drop-in replacement of Gym, or contact the authors of your software and request that they upgrade. 2025-12-04T09:19:00.2329926Z 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. 2025-12-04T09:19:00.2334519Z See the migration guide at https://gymnasium.farama.org/introduction/migration_guide/ for additional information. 2025-12-04T09:19:01.2585769Z 2025-12-04T09:19:01.2586314Z loading model: 0it [00:01, ?it/s] 2025-12-04T09:19:01.2586691Z cpu eval drq 2025-12-04T09:19:01.2697437Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:19:01.2749138Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:19:01.2788876Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:19:03.1350650Z cudagraph partition due to non gpu ops 2025-12-04T09:19:03.1351309Z cudagraph partition due to non gpu ops 2025-12-04T09:19:03.1351528Z cudagraph partition due to non gpu ops 2025-12-04T09:19:03.1351722Z cudagraph partition due to non gpu ops 2025-12-04T09:19:03.1351961Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:03.1352334Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:19:03.1352664Z return mod(*inputs) 2025-12-04T09:19:03.1352914Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward 2025-12-04T09:19:03.1353206Z obs = self.encoder(obs, detach=detach_encoder) 2025-12-04T09:19:03.1353487Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward 2025-12-04T09:19:03.1353834Z h = self.forward_conv(obs) 2025-12-04T09:19:03.1354102Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 43, in forward_conv 2025-12-04T09:19:03.1354387Z conv = torch.relu(self.convs[0](obs)) 2025-12-04T09:19:03.1354520Z 2025-12-04T09:19:03.1354634Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:03.1354973Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:19:03.1355281Z return mod(*inputs) 2025-12-04T09:19:03.1355521Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward 2025-12-04T09:19:03.1355850Z obs = self.encoder(obs, detach=detach_encoder) 2025-12-04T09:19:03.1356133Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward 2025-12-04T09:19:03.1356400Z h = self.forward_conv(obs) 2025-12-04T09:19:03.1356660Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 47, in forward_conv 2025-12-04T09:19:03.1356947Z conv = torch.relu(self.convs[i](conv)) 2025-12-04T09:19:03.1357134Z 2025-12-04T09:19:03.1357237Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:03.1357576Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:19:03.1357876Z return mod(*inputs) 2025-12-04T09:19:03.1358111Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward 2025-12-04T09:19:03.1358388Z obs = self.encoder(obs, detach=detach_encoder) 2025-12-04T09:19:03.1358654Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward 2025-12-04T09:19:03.1358911Z h = self.forward_conv(obs) 2025-12-04T09:19:03.1359172Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 47, in forward_conv 2025-12-04T09:19:03.1359447Z conv = torch.relu(self.convs[i](conv)) 2025-12-04T09:19:03.1359572Z 2025-12-04T09:19:03.1359672Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:03.1360011Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:19:03.1360319Z return mod(*inputs) 2025-12-04T09:19:03.1360544Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward 2025-12-04T09:19:03.1360820Z obs = self.encoder(obs, detach=detach_encoder) 2025-12-04T09:19:03.1361093Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward 2025-12-04T09:19:03.1361345Z h = self.forward_conv(obs) 2025-12-04T09:19:03.1361593Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 47, in forward_conv 2025-12-04T09:19:03.1361871Z conv = torch.relu(self.convs[i](conv)) 2025-12-04T09:19:03.1361996Z 2025-12-04T09:19:03.1362212Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:03.1362559Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:19:03.1362870Z return mod(*inputs) 2025-12-04T09:19:03.1363105Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward 2025-12-04T09:19:03.1363389Z obs = self.encoder(obs, detach=detach_encoder) 2025-12-04T09:19:03.1363663Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward 2025-12-04T09:19:03.1363916Z h = self.forward_conv(obs) 2025-12-04T09:19:03.1364198Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 47, in forward_conv 2025-12-04T09:19:03.1364470Z conv = torch.relu(self.convs[i](conv)) 2025-12-04T09:19:03.1364602Z 2025-12-04T09:19:03.1364699Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:03.1365031Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:19:03.1365331Z return mod(*inputs) 2025-12-04T09:19:03.1365555Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward 2025-12-04T09:19:03.1365823Z obs = self.encoder(obs, detach=detach_encoder) 2025-12-04T09:19:03.1366092Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 61, in forward 2025-12-04T09:19:03.1366398Z out = self.head(h) 2025-12-04T09:19:03.1366507Z 2025-12-04T09:19:03.1366606Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:03.1366938Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:19:03.1367233Z return mod(*inputs) 2025-12-04T09:19:03.1367463Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward 2025-12-04T09:19:03.1367734Z obs = self.encoder(obs, detach=detach_encoder) 2025-12-04T09:19:03.1367998Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 63, in forward 2025-12-04T09:19:03.1368276Z out = torch.tanh(out) 2025-12-04T09:19:03.1368387Z 2025-12-04T09:19:03.1368484Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:03.1368814Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:19:03.1369106Z return mod(*inputs) 2025-12-04T09:19:03.1369361Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 99, in forward 2025-12-04T09:19:03.1369642Z mu, log_std = self.trunk(obs).chunk(2, dim=-1) 2025-12-04T09:19:03.1369778Z 2025-12-04T09:19:03.1369874Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:03.1370206Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:19:03.1370505Z return mod(*inputs) 2025-12-04T09:19:03.1370736Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 99, in forward 2025-12-04T09:19:03.1371000Z mu, log_std = self.trunk(obs).chunk(2, dim=-1) 2025-12-04T09:19:03.1371140Z 2025-12-04T09:19:03.1371238Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:03.1371565Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:19:03.1371855Z return mod(*inputs) 2025-12-04T09:19:03.1372085Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 99, in forward 2025-12-04T09:19:03.1372357Z mu, log_std = self.trunk(obs).chunk(2, dim=-1) 2025-12-04T09:19:03.1372489Z 2025-12-04T09:19:03.1372590Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:03.1372909Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:19:03.1373207Z return mod(*inputs) 2025-12-04T09:19:03.1373435Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 99, in forward 2025-12-04T09:19:03.1373695Z mu, log_std = self.trunk(obs).chunk(2, dim=-1) 2025-12-04T09:19:03.1373832Z 2025-12-04T09:19:03.1373926Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:03.1374251Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:19:03.1374546Z return mod(*inputs) 2025-12-04T09:19:03.1374769Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 99, in forward 2025-12-04T09:19:03.1375036Z mu, log_std = self.trunk(obs).chunk(2, dim=-1) 2025-12-04T09:19:03.1375169Z 2025-12-04T09:19:03.1375273Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:03.1375592Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:19:03.1375888Z return mod(*inputs) 2025-12-04T09:19:03.1376138Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 105, in forward 2025-12-04T09:19:03.1376393Z std = log_std.exp() 2025-12-04T09:19:03.1376487Z 2025-12-04T09:19:11.3153363Z Compilation time (from dynamo_timed): 9.634189017 2025-12-04T09:19:11.3153651Z pass 2025-12-04T09:19:11.3153938Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:19:11.3154687Z TIMING: _recursive_pre_grad_passes:0.00446 _recursive_joint_graph_passes:0.26354 _recursive_post_grad_passes:0.01528 async_compile.wait:0.93673 code_gen:7.88232 inductor_compile:7.98595 backend_compile:9.01836 gc:0.00115 entire_frame_compile:9.63419 total_wall_time:9.63419 2025-12-04T09:19:11.3155738Z STATS: call_* op count: 58 | FakeTensor.__torch_dispatch__:245 | FakeTensorMode.__torch_dispatch__:869 | ProxyTorchDispatchMode.__torch_dispatch__:127 2025-12-04T09:19:11.3156200Z Dynamo produced 2 graphs covering 58 ops with 0 graph breaks (0 unique) 2025-12-04T09:19:12.3983696Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-12-04T09:19:12.3984463Z import pynvml # type: ignore[import] 2025-12-04T09:19:14.2354222Z 2025-12-04T09:19:16.2429587Z loading model: 0it [00:00, ?it/s] 2025-12-04T09:19:16.2433503Z loading model: 0it [00:02, ?it/s] 2025-12-04T09:19:16.2440840Z cpu eval fastNLP_Bert 2025-12-04T09:19:19.1099736Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:19:20.5192123Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:19:21.9281558Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:19:22.4650775Z W1204 09:19:22.463000 11008 site-packages/torch/_dynamo/variables/tensor.py:1073] [0/0] Graph break from `Tensor.item()`, consider setting: 2025-12-04T09:19:22.4651406Z W1204 09:19:22.463000 11008 site-packages/torch/_dynamo/variables/tensor.py:1073] [0/0] torch._dynamo.config.capture_scalar_outputs = True 2025-12-04T09:19:22.4651856Z W1204 09:19:22.463000 11008 site-packages/torch/_dynamo/variables/tensor.py:1073] [0/0] or: 2025-12-04T09:19:22.4652308Z W1204 09:19:22.463000 11008 site-packages/torch/_dynamo/variables/tensor.py:1073] [0/0] env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1 2025-12-04T09:19:22.4652833Z W1204 09:19:22.463000 11008 site-packages/torch/_dynamo/variables/tensor.py:1073] [0/0] to include these operations in the captured graph. 2025-12-04T09:19:22.4653281Z W1204 09:19:22.463000 11008 site-packages/torch/_dynamo/variables/tensor.py:1073] [0/0] 2025-12-04T09:19:22.4653686Z W1204 09:19:22.463000 11008 site-packages/torch/_dynamo/variables/tensor.py:1073] [0/0] Graph break: from user code at: 2025-12-04T09:19:22.4654294Z W1204 09:19:22.463000 11008 site-packages/torch/_dynamo/variables/tensor.py:1073] [0/0] File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:19:22.4654876Z W1204 09:19:22.463000 11008 site-packages/torch/_dynamo/variables/tensor.py:1073] [0/0] return mod(*inputs) 2025-12-04T09:19:22.4655476Z W1204 09:19:22.463000 11008 site-packages/torch/_dynamo/variables/tensor.py:1073] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/models/bert.py", line 265, in forward 2025-12-04T09:19:22.4656079Z W1204 09:19:22.463000 11008 site-packages/torch/_dynamo/variables/tensor.py:1073] [0/0] sequence_output = self.bert(words) 2025-12-04T09:19:22.4656728Z W1204 09:19:22.463000 11008 site-packages/torch/_dynamo/variables/tensor.py:1073] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/embeddings/bert_embedding.py", line 137, in forward 2025-12-04T09:19:22.4657612Z W1204 09:19:22.463000 11008 site-packages/torch/_dynamo/variables/tensor.py:1073] [0/0] outputs = self.model(words) 2025-12-04T09:19:22.4658251Z W1204 09:19:22.463000 11008 site-packages/torch/_dynamo/variables/tensor.py:1073] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/embeddings/bert_embedding.py", line 445, in forward 2025-12-04T09:19:22.4701957Z W1204 09:19:22.463000 11008 site-packages/torch/_dynamo/variables/tensor.py:1073] [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) 2025-12-04T09:19:22.4702582Z W1204 09:19:22.463000 11008 site-packages/torch/_dynamo/variables/tensor.py:1073] [0/0] 2025-12-04T09:19:22.4702957Z W1204 09:19:22.463000 11008 site-packages/torch/_dynamo/variables/tensor.py:1073] [0/0] 2025-12-04T09:19:23.5738618Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:23.5742727Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/embeddings/bert_embedding.py", line 445, in forward 2025-12-04T09:19:23.5747155Z max_word_piece_length = batch_word_pieces_length.sum(dim=-1).max().item() # 表示word piece的长度(包括padding) 2025-12-04T09:19:23.5748564Z 2025-12-04T09:19:23.5752778Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:23.5756823Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/embeddings/bert_embedding.py", line 441, in forward 2025-12-04T09:19:23.5758525Z seq_len = word_mask.sum(dim=-1) 2025-12-04T09:19:23.5758673Z 2025-12-04T09:19:36.0484002Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0484486Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 512, in forward 2025-12-04T09:19:36.0485613Z embedding_output = self.embeddings(input_ids, token_type_ids) 2025-12-04T09:19:36.0486139Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 242, in forward 2025-12-04T09:19:36.0486633Z embeddings = words_embeddings + position_embeddings + token_type_embeddings 2025-12-04T09:19:36.0486874Z 2025-12-04T09:19:36.0486988Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0487416Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:19:36.0487806Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:19:36.0488224Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:19:36.0488641Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:19:36.0489069Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:19:36.0489493Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:19:36.0489935Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-12-04T09:19:36.0490334Z self_output = self.self(input_tensor, attention_mask) 2025-12-04T09:19:36.0490731Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward 2025-12-04T09:19:36.0491118Z mixed_query_layer = self.query(hidden_states) 2025-12-04T09:19:36.0491288Z 2025-12-04T09:19:36.0491399Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0491802Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:19:36.0492166Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:19:36.0492522Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:19:36.0492898Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:19:36.0493281Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:19:36.0493730Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:19:36.0494126Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-12-04T09:19:36.0494493Z self_output = self.self(input_tensor, attention_mask) 2025-12-04T09:19:36.0494859Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward 2025-12-04T09:19:36.0495206Z mixed_key_layer = self.key(hidden_states) 2025-12-04T09:19:36.0495350Z 2025-12-04T09:19:36.0495452Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0495822Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:19:36.0496228Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:19:36.0496585Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:19:36.0496964Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:19:36.0497338Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:19:36.0497722Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:19:36.0498156Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-12-04T09:19:36.0498521Z self_output = self.self(input_tensor, attention_mask) 2025-12-04T09:19:36.0498882Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward 2025-12-04T09:19:36.0499251Z mixed_value_layer = self.value(hidden_states) 2025-12-04T09:19:36.0499400Z 2025-12-04T09:19:36.0499482Z cudagraph partition due to non gpu ops 2025-12-04T09:19:36.0499688Z cudagraph partition due to non gpu ops 2025-12-04T09:19:36.0499909Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0500278Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:19:36.0500648Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:19:36.0500998Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:19:36.0501367Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:19:36.0501737Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:19:36.0502131Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:19:36.0502521Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward 2025-12-04T09:19:36.0502999Z attention_output = self.output(self_output, input_tensor) 2025-12-04T09:19:36.0503376Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward 2025-12-04T09:19:36.0503721Z hidden_states = self.dense(hidden_states) 2025-12-04T09:19:36.0503849Z 2025-12-04T09:19:36.0503952Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0504305Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:19:36.0504661Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:19:36.0505010Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:19:36.0505377Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:19:36.0505755Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-12-04T09:19:36.0506133Z intermediate_output = self.intermediate(attention_output) 2025-12-04T09:19:36.0506529Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward 2025-12-04T09:19:36.0506867Z hidden_states = self.dense(hidden_states) 2025-12-04T09:19:36.0507004Z 2025-12-04T09:19:36.0507102Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0507465Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:19:36.0507825Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:19:36.0508169Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:19:36.0508538Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:19:36.0508940Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-12-04T09:19:36.0509316Z intermediate_output = self.intermediate(attention_output) 2025-12-04T09:19:36.0509695Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward 2025-12-04T09:19:36.0510069Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-12-04T09:19:36.0510434Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu 2025-12-04T09:19:36.0510805Z return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0))) 2025-12-04T09:19:36.0510957Z 2025-12-04T09:19:36.0511055Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0511534Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:19:36.0512058Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:19:36.0512595Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:19:36.0512995Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:19:36.0513368Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward 2025-12-04T09:19:36.0513751Z layer_output = self.output(intermediate_output, attention_output) 2025-12-04T09:19:36.0514135Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward 2025-12-04T09:19:36.0514478Z hidden_states = self.dense(hidden_states) 2025-12-04T09:19:36.0514609Z 2025-12-04T09:19:36.0514713Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0515099Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:19:36.0515459Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:19:36.0515985Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:19:36.0516365Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:19:36.0516737Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:19:36.0517125Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:19:36.0517501Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-12-04T09:19:36.0517862Z self_output = self.self(input_tensor, attention_mask) 2025-12-04T09:19:36.0518221Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward 2025-12-04T09:19:36.0518563Z mixed_query_layer = self.query(hidden_states) 2025-12-04T09:19:36.0518710Z 2025-12-04T09:19:36.0518808Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0519170Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:19:36.0519570Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:19:36.0519913Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:19:36.0520279Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:19:36.0520643Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:19:36.0521028Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:19:36.0521398Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-12-04T09:19:36.0521756Z self_output = self.self(input_tensor, attention_mask) 2025-12-04T09:19:36.0522226Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward 2025-12-04T09:19:36.0522583Z mixed_key_layer = self.key(hidden_states) 2025-12-04T09:19:36.0522717Z 2025-12-04T09:19:36.0522816Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0523183Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:19:36.0523545Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:19:36.0523893Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:19:36.0524293Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:19:36.0524659Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:19:36.0525041Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:19:36.0525439Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-12-04T09:19:36.0525800Z self_output = self.self(input_tensor, attention_mask) 2025-12-04T09:19:36.0526157Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward 2025-12-04T09:19:36.0526504Z mixed_value_layer = self.value(hidden_states) 2025-12-04T09:19:36.0526643Z 2025-12-04T09:19:36.0526723Z cudagraph partition due to non gpu ops 2025-12-04T09:19:36.0526927Z cudagraph partition due to non gpu ops 2025-12-04T09:19:36.0527156Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0527513Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:19:36.0527870Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:19:36.0528222Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:19:36.0528595Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:19:36.0528958Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:19:36.0529343Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:19:36.0529727Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward 2025-12-04T09:19:36.0530092Z attention_output = self.output(self_output, input_tensor) 2025-12-04T09:19:36.0530462Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward 2025-12-04T09:19:36.0530805Z hidden_states = self.dense(hidden_states) 2025-12-04T09:19:36.0530934Z 2025-12-04T09:19:36.0531036Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0531390Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:19:36.0531749Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:19:36.0532114Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:19:36.0532480Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:19:36.0532837Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-12-04T09:19:36.0533213Z intermediate_output = self.intermediate(attention_output) 2025-12-04T09:19:36.0533596Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward 2025-12-04T09:19:36.0533937Z hidden_states = self.dense(hidden_states) 2025-12-04T09:19:36.0534077Z 2025-12-04T09:19:36.0534175Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0534541Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:19:36.0534944Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:19:36.0535301Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:19:36.0535686Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:19:36.0536065Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-12-04T09:19:36.0536449Z intermediate_output = self.intermediate(attention_output) 2025-12-04T09:19:36.0536840Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward 2025-12-04T09:19:36.0537215Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-12-04T09:19:36.0537583Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu 2025-12-04T09:19:36.0537956Z return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0))) 2025-12-04T09:19:36.0538123Z 2025-12-04T09:19:36.0538220Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0538579Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:19:36.0538930Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:19:36.0539270Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:19:36.0539638Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:19:36.0540004Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward 2025-12-04T09:19:36.0540387Z layer_output = self.output(intermediate_output, attention_output) 2025-12-04T09:19:36.0540764Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward 2025-12-04T09:19:36.0541140Z hidden_states = self.dense(hidden_states) 2025-12-04T09:19:36.0541274Z 2025-12-04T09:19:36.0541378Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0541732Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:19:36.0542084Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:19:36.0542430Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:19:36.0542799Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:19:36.0543157Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:19:36.0543543Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:19:36.0543924Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-12-04T09:19:36.0544285Z self_output = self.self(input_tensor, attention_mask) 2025-12-04T09:19:36.0544633Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward 2025-12-04T09:19:36.0545002Z mixed_query_layer = self.query(hidden_states) 2025-12-04T09:19:36.0545144Z 2025-12-04T09:19:36.0545248Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0545601Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:19:36.0545954Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:19:36.0546300Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:19:36.0546666Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:19:36.0547026Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:19:36.0547432Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:19:36.0547815Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-12-04T09:19:36.0548179Z self_output = self.self(input_tensor, attention_mask) 2025-12-04T09:19:36.0548529Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward 2025-12-04T09:19:36.0548872Z mixed_key_layer = self.key(hidden_states) 2025-12-04T09:19:36.0549001Z 2025-12-04T09:19:36.0549122Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0549479Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:19:36.0549834Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:19:36.0550204Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:19:36.0550580Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:19:36.0550943Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:19:36.0551328Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:19:36.0551709Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-12-04T09:19:36.0552063Z self_output = self.self(input_tensor, attention_mask) 2025-12-04T09:19:36.0552413Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward 2025-12-04T09:19:36.0552767Z mixed_value_layer = self.value(hidden_states) 2025-12-04T09:19:36.0552903Z 2025-12-04T09:19:36.0552991Z cudagraph partition due to non gpu ops 2025-12-04T09:19:36.0553190Z cudagraph partition due to non gpu ops 2025-12-04T09:19:36.0553415Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0553775Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:19:36.0554128Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:19:36.0554467Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:19:36.0554839Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:19:36.0555204Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:19:36.0555591Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:19:36.0555964Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward 2025-12-04T09:19:36.0556334Z attention_output = self.output(self_output, input_tensor) 2025-12-04T09:19:36.0556702Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward 2025-12-04T09:19:36.0557038Z hidden_states = self.dense(hidden_states) 2025-12-04T09:19:36.0557176Z 2025-12-04T09:19:36.0557284Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0557648Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:19:36.0558001Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:19:36.0558343Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:19:36.0558717Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:19:36.0559084Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-12-04T09:19:36.0559459Z intermediate_output = self.intermediate(attention_output) 2025-12-04T09:19:36.0559845Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward 2025-12-04T09:19:36.0560193Z hidden_states = self.dense(hidden_states) 2025-12-04T09:19:36.0560321Z 2025-12-04T09:19:36.0560427Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0560781Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:19:36.0561139Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:19:36.0561492Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:19:36.0561881Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:19:36.0562316Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-12-04T09:19:36.0562737Z intermediate_output = self.intermediate(attention_output) 2025-12-04T09:19:36.0563137Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward 2025-12-04T09:19:36.0563528Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-12-04T09:19:36.0563904Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu 2025-12-04T09:19:36.0564272Z return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0))) 2025-12-04T09:19:36.0564423Z 2025-12-04T09:19:36.0564533Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0564908Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:19:36.0565280Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:19:36.0565646Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:19:36.0566032Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:19:36.0566410Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward 2025-12-04T09:19:36.0566808Z layer_output = self.output(intermediate_output, attention_output) 2025-12-04T09:19:36.0567207Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward 2025-12-04T09:19:36.0567561Z hidden_states = self.dense(hidden_states) 2025-12-04T09:19:36.0567694Z 2025-12-04T09:19:36.0567792Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0568168Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:19:36.0568535Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:19:36.0568891Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:19:36.0569278Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:19:36.0569661Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:19:36.0570076Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:19:36.0570463Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-12-04T09:19:36.0570834Z self_output = self.self(input_tensor, attention_mask) 2025-12-04T09:19:36.0571199Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward 2025-12-04T09:19:36.0571562Z mixed_query_layer = self.query(hidden_states) 2025-12-04T09:19:36.0571701Z 2025-12-04T09:19:36.0571799Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0572168Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:19:36.0572547Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:19:36.0572896Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:19:36.0573275Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:19:36.0573650Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:19:36.0574044Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:19:36.0574426Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-12-04T09:19:36.0574820Z self_output = self.self(input_tensor, attention_mask) 2025-12-04T09:19:36.0575186Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward 2025-12-04T09:19:36.0575540Z mixed_key_layer = self.key(hidden_states) 2025-12-04T09:19:36.0575669Z 2025-12-04T09:19:36.0575783Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0576143Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:19:36.0576497Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:19:36.0576838Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:19:36.0577208Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:19:36.0577576Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:19:36.0577961Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:19:36.0578331Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-12-04T09:19:36.0578690Z self_output = self.self(input_tensor, attention_mask) 2025-12-04T09:19:36.0579047Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward 2025-12-04T09:19:36.0579397Z mixed_value_layer = self.value(hidden_states) 2025-12-04T09:19:36.0579531Z 2025-12-04T09:19:36.0579612Z cudagraph partition due to non gpu ops 2025-12-04T09:19:36.0579820Z cudagraph partition due to non gpu ops 2025-12-04T09:19:36.0580045Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0580396Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:19:36.0580754Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:19:36.0581115Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:19:36.0581482Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:19:36.0581843Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:19:36.0582226Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:19:36.0582634Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward 2025-12-04T09:19:36.0583004Z attention_output = self.output(self_output, input_tensor) 2025-12-04T09:19:36.0583366Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward 2025-12-04T09:19:36.0583711Z hidden_states = self.dense(hidden_states) 2025-12-04T09:19:36.0583842Z 2025-12-04T09:19:36.0583944Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0584298Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:19:36.0584651Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:19:36.0584999Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:19:36.0585391Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:19:36.0585755Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-12-04T09:19:36.0586132Z intermediate_output = self.intermediate(attention_output) 2025-12-04T09:19:36.0586507Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward 2025-12-04T09:19:36.0586845Z hidden_states = self.dense(hidden_states) 2025-12-04T09:19:36.0586990Z 2025-12-04T09:19:36.0587084Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0587442Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:19:36.0587793Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:19:36.0588186Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:19:36.0588559Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:19:36.0588923Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-12-04T09:19:36.0589295Z intermediate_output = self.intermediate(attention_output) 2025-12-04T09:19:36.0589657Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward 2025-12-04T09:19:36.0590023Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-12-04T09:19:36.0590383Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu 2025-12-04T09:19:36.0590734Z return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0))) 2025-12-04T09:19:36.0590875Z 2025-12-04T09:19:36.0590971Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0591339Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:19:36.0591699Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:19:36.0592044Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:19:36.0592416Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:19:36.0592785Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward 2025-12-04T09:19:36.0593173Z layer_output = self.output(intermediate_output, attention_output) 2025-12-04T09:19:36.0593552Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward 2025-12-04T09:19:36.0593895Z hidden_states = self.dense(hidden_states) 2025-12-04T09:19:36.0594024Z 2025-12-04T09:19:36.0594128Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0594494Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:19:36.0594843Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:19:36.0595210Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:19:36.0595582Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:19:36.0595943Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:19:36.0596326Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:19:36.0596710Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-12-04T09:19:36.0597071Z self_output = self.self(input_tensor, attention_mask) 2025-12-04T09:19:36.0597420Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward 2025-12-04T09:19:36.0597786Z mixed_query_layer = self.query(hidden_states) 2025-12-04T09:19:36.0597921Z 2025-12-04T09:19:36.0598022Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0598381Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:19:36.0598727Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:19:36.0599073Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:19:36.0599457Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:19:36.0599813Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:19:36.0600196Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:19:36.0600590Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-12-04T09:19:36.0600957Z self_output = self.self(input_tensor, attention_mask) 2025-12-04T09:19:36.0601309Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward 2025-12-04T09:19:36.0601653Z mixed_key_layer = self.key(hidden_states) 2025-12-04T09:19:36.0601780Z 2025-12-04T09:19:36.0601885Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0602328Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:19:36.0602694Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:19:36.0603058Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:19:36.0603464Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:19:36.0603829Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:19:36.0604219Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:19:36.0604602Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-12-04T09:19:36.0604967Z self_output = self.self(input_tensor, attention_mask) 2025-12-04T09:19:36.0605316Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward 2025-12-04T09:19:36.0605668Z mixed_value_layer = self.value(hidden_states) 2025-12-04T09:19:36.0605808Z 2025-12-04T09:19:36.0605897Z cudagraph partition due to non gpu ops 2025-12-04T09:19:36.0606105Z cudagraph partition due to non gpu ops 2025-12-04T09:19:36.0606320Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0606681Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:19:36.0607038Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:19:36.0607380Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:19:36.0607768Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:19:36.0608137Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:19:36.0608521Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:19:36.0608896Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward 2025-12-04T09:19:36.0609270Z attention_output = self.output(self_output, input_tensor) 2025-12-04T09:19:36.0609641Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward 2025-12-04T09:19:36.0609977Z hidden_states = self.dense(hidden_states) 2025-12-04T09:19:36.0610131Z 2025-12-04T09:19:36.0610228Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0610589Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:19:36.0610946Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:19:36.0611290Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:19:36.0611664Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:19:36.0612032Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-12-04T09:19:36.0612427Z intermediate_output = self.intermediate(attention_output) 2025-12-04T09:19:36.0612796Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward 2025-12-04T09:19:36.0613141Z hidden_states = self.dense(hidden_states) 2025-12-04T09:19:36.0613287Z 2025-12-04T09:19:36.0613394Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0613750Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:19:36.0614105Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:19:36.0614458Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:19:36.0614826Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:19:36.0615187Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-12-04T09:19:36.0615737Z intermediate_output = self.intermediate(attention_output) 2025-12-04T09:19:36.0616170Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward 2025-12-04T09:19:36.0616566Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-12-04T09:19:36.0616920Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu 2025-12-04T09:19:36.0617273Z return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0))) 2025-12-04T09:19:36.0617419Z 2025-12-04T09:19:36.0617526Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0617879Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:19:36.0618234Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:19:36.0618585Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:19:36.0618951Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:19:36.0619306Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward 2025-12-04T09:19:36.0619691Z layer_output = self.output(intermediate_output, attention_output) 2025-12-04T09:19:36.0620073Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward 2025-12-04T09:19:36.0620414Z hidden_states = self.dense(hidden_states) 2025-12-04T09:19:36.0620593Z 2025-12-04T09:19:36.0620692Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0621057Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:19:36.0621419Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:19:36.0621766Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:19:36.0622141Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:19:36.0622510Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:19:36.0622927Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:19:36.0623301Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-12-04T09:19:36.0623666Z self_output = self.self(input_tensor, attention_mask) 2025-12-04T09:19:36.0624020Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward 2025-12-04T09:19:36.0624372Z mixed_query_layer = self.query(hidden_states) 2025-12-04T09:19:36.0624509Z 2025-12-04T09:19:36.0624604Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0624987Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:19:36.0625342Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:19:36.0625680Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:19:36.0626089Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:19:36.0626458Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:19:36.0626842Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:19:36.0627214Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-12-04T09:19:36.0627574Z self_output = self.self(input_tensor, attention_mask) 2025-12-04T09:19:36.0627928Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward 2025-12-04T09:19:36.0628272Z mixed_key_layer = self.key(hidden_states) 2025-12-04T09:19:36.0628400Z 2025-12-04T09:19:36.0628496Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0628857Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:19:36.0629210Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:19:36.0629557Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:19:36.0629919Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:19:36.0630289Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:19:36.0630674Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:19:36.0631049Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-12-04T09:19:36.0631408Z self_output = self.self(input_tensor, attention_mask) 2025-12-04T09:19:36.0631764Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward 2025-12-04T09:19:36.0632111Z mixed_value_layer = self.value(hidden_states) 2025-12-04T09:19:36.0632248Z 2025-12-04T09:19:36.0632327Z cudagraph partition due to non gpu ops 2025-12-04T09:19:36.0632531Z cudagraph partition due to non gpu ops 2025-12-04T09:19:36.0632754Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0633121Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:19:36.0633476Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:19:36.0633828Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:19:36.0634202Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:19:36.0634564Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:19:36.0634948Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:19:36.0635354Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward 2025-12-04T09:19:36.0635729Z attention_output = self.output(self_output, input_tensor) 2025-12-04T09:19:36.0636095Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward 2025-12-04T09:19:36.0636440Z hidden_states = self.dense(hidden_states) 2025-12-04T09:19:36.0636572Z 2025-12-04T09:19:36.0636675Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0637028Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:19:36.0637398Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:19:36.0637745Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:19:36.0638115Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:19:36.0638491Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-12-04T09:19:36.0638870Z intermediate_output = self.intermediate(attention_output) 2025-12-04T09:19:36.0639248Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward 2025-12-04T09:19:36.0639590Z hidden_states = self.dense(hidden_states) 2025-12-04T09:19:36.0639717Z 2025-12-04T09:19:36.0639813Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0640175Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:19:36.0640533Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:19:36.0640873Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:19:36.0641245Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:19:36.0641615Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-12-04T09:19:36.0641992Z intermediate_output = self.intermediate(attention_output) 2025-12-04T09:19:36.0642422Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward 2025-12-04T09:19:36.0642794Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-12-04T09:19:36.0643167Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu 2025-12-04T09:19:36.0643540Z return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0))) 2025-12-04T09:19:36.0643686Z 2025-12-04T09:19:36.0643785Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0644147Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:19:36.0644506Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:19:36.0644866Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:19:36.0645249Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:19:36.0645648Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward 2025-12-04T09:19:36.0646049Z layer_output = self.output(intermediate_output, attention_output) 2025-12-04T09:19:36.0646437Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward 2025-12-04T09:19:36.0646794Z hidden_states = self.dense(hidden_states) 2025-12-04T09:19:36.0646928Z 2025-12-04T09:19:36.0647047Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0647413Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:19:36.0647767Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:19:36.0648148Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:19:36.0648525Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:19:36.0648893Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:19:36.0649289Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:19:36.0649682Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-12-04T09:19:36.0650071Z self_output = self.self(input_tensor, attention_mask) 2025-12-04T09:19:36.0650429Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward 2025-12-04T09:19:36.0650791Z mixed_query_layer = self.query(hidden_states) 2025-12-04T09:19:36.0650940Z 2025-12-04T09:19:36.0651054Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0651430Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:19:36.0651788Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:19:36.0652151Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:19:36.0652534Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:19:36.0652904Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:19:36.0653306Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:19:36.0653704Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-12-04T09:19:36.0654075Z self_output = self.self(input_tensor, attention_mask) 2025-12-04T09:19:36.0654438Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward 2025-12-04T09:19:36.0654793Z mixed_key_layer = self.key(hidden_states) 2025-12-04T09:19:36.0654931Z 2025-12-04T09:19:36.0655029Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0655402Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:19:36.0655758Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:19:36.0656120Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:19:36.0656506Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:19:36.0656881Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:19:36.0657271Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:19:36.0657658Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-12-04T09:19:36.0658020Z self_output = self.self(input_tensor, attention_mask) 2025-12-04T09:19:36.0658390Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward 2025-12-04T09:19:36.0658739Z mixed_value_layer = self.value(hidden_states) 2025-12-04T09:19:36.0658884Z 2025-12-04T09:19:36.0658962Z cudagraph partition due to non gpu ops 2025-12-04T09:19:36.0659168Z cudagraph partition due to non gpu ops 2025-12-04T09:19:36.0659385Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0659750Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:19:36.0660107Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:19:36.0660451Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:19:36.0660839Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:19:36.0661208Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:19:36.0661594Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:19:36.0661965Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward 2025-12-04T09:19:36.0662340Z attention_output = self.output(self_output, input_tensor) 2025-12-04T09:19:36.0662707Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward 2025-12-04T09:19:36.0663064Z hidden_states = self.dense(hidden_states) 2025-12-04T09:19:36.0663193Z 2025-12-04T09:19:36.0663288Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0663661Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:19:36.0664019Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:19:36.0664358Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:19:36.0664730Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:19:36.0665100Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-12-04T09:19:36.0665475Z intermediate_output = self.intermediate(attention_output) 2025-12-04T09:19:36.0665838Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward 2025-12-04T09:19:36.0666185Z hidden_states = self.dense(hidden_states) 2025-12-04T09:19:36.0666312Z 2025-12-04T09:19:36.0666416Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0666779Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:19:36.0667131Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:19:36.0667480Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:19:36.0667853Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:19:36.0668215Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-12-04T09:19:36.0668592Z intermediate_output = self.intermediate(attention_output) 2025-12-04T09:19:36.0668967Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward 2025-12-04T09:19:36.0669331Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-12-04T09:19:36.0669684Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu 2025-12-04T09:19:36.0670037Z return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0))) 2025-12-04T09:19:36.0670180Z 2025-12-04T09:19:36.0670283Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0670655Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:19:36.0671005Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:19:36.0671349Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:19:36.0671717Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:19:36.0672075Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward 2025-12-04T09:19:36.0672610Z layer_output = self.output(intermediate_output, attention_output) 2025-12-04T09:19:36.0672992Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward 2025-12-04T09:19:36.0673355Z hidden_states = self.dense(hidden_states) 2025-12-04T09:19:36.0673485Z 2025-12-04T09:19:36.0673581Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0673944Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:19:36.0674300Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:19:36.0674649Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:19:36.0675012Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:19:36.0675409Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:19:36.0675798Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:19:36.0676172Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-12-04T09:19:36.0676582Z self_output = self.self(input_tensor, attention_mask) 2025-12-04T09:19:36.0676942Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward 2025-12-04T09:19:36.0677292Z mixed_query_layer = self.query(hidden_states) 2025-12-04T09:19:36.0677430Z 2025-12-04T09:19:36.0677527Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0677889Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:19:36.0678246Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:19:36.0678593Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:19:36.0678954Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:19:36.0679322Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:19:36.0679711Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:19:36.0680084Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-12-04T09:19:36.0680444Z self_output = self.self(input_tensor, attention_mask) 2025-12-04T09:19:36.0680796Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward 2025-12-04T09:19:36.0681138Z mixed_key_layer = self.key(hidden_states) 2025-12-04T09:19:36.0681265Z 2025-12-04T09:19:36.0681362Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0681726Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:19:36.0682135Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:19:36.0682511Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:19:36.0682898Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:19:36.0683503Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:19:36.0683922Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:19:36.0684298Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-12-04T09:19:36.0684660Z self_output = self.self(input_tensor, attention_mask) 2025-12-04T09:19:36.0685108Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward 2025-12-04T09:19:36.0685467Z mixed_value_layer = self.value(hidden_states) 2025-12-04T09:19:36.0685609Z 2025-12-04T09:19:36.0685691Z cudagraph partition due to non gpu ops 2025-12-04T09:19:36.0685899Z cudagraph partition due to non gpu ops 2025-12-04T09:19:36.0686149Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0686513Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:19:36.0686880Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:19:36.0687239Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:19:36.0687621Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:19:36.0687991Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:19:36.0688398Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:19:36.0688785Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward 2025-12-04T09:19:36.0689162Z attention_output = self.output(self_output, input_tensor) 2025-12-04T09:19:36.0689551Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward 2025-12-04T09:19:36.0689905Z hidden_states = self.dense(hidden_states) 2025-12-04T09:19:36.0690036Z 2025-12-04T09:19:36.0690142Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0690511Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:19:36.0690865Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:19:36.0691219Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:19:36.0691599Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:19:36.0691970Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-12-04T09:19:36.0692352Z intermediate_output = self.intermediate(attention_output) 2025-12-04T09:19:36.0692737Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward 2025-12-04T09:19:36.0693088Z hidden_states = self.dense(hidden_states) 2025-12-04T09:19:36.0693220Z 2025-12-04T09:19:36.0693319Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0693690Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:19:36.0694056Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:19:36.0694414Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:19:36.0694904Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:19:36.0695284Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-12-04T09:19:36.0695669Z intermediate_output = self.intermediate(attention_output) 2025-12-04T09:19:36.0696046Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward 2025-12-04T09:19:36.0696427Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-12-04T09:19:36.0696822Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu 2025-12-04T09:19:36.0697188Z return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0))) 2025-12-04T09:19:36.0697336Z 2025-12-04T09:19:36.0697436Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0697817Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:19:36.0698179Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:19:36.0698527Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:19:36.0698886Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:19:36.0699271Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward 2025-12-04T09:19:36.0699658Z layer_output = self.output(intermediate_output, attention_output) 2025-12-04T09:19:36.0700036Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward 2025-12-04T09:19:36.0700378Z hidden_states = self.dense(hidden_states) 2025-12-04T09:19:36.0700512Z 2025-12-04T09:19:36.0700610Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0700966Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:19:36.0701331Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:19:36.0701680Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:19:36.0702070Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:19:36.0702441Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:19:36.0702820Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:19:36.0703204Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-12-04T09:19:36.0703562Z self_output = self.self(input_tensor, attention_mask) 2025-12-04T09:19:36.0703911Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward 2025-12-04T09:19:36.0704259Z mixed_query_layer = self.query(hidden_states) 2025-12-04T09:19:36.0704403Z 2025-12-04T09:19:36.0704499Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0704855Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:19:36.0705203Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:19:36.0705550Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:19:36.0705918Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:19:36.0706283Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:19:36.0706661Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:19:36.0707040Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-12-04T09:19:36.0707402Z self_output = self.self(input_tensor, attention_mask) 2025-12-04T09:19:36.0707749Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward 2025-12-04T09:19:36.0708089Z mixed_key_layer = self.key(hidden_states) 2025-12-04T09:19:36.0708223Z 2025-12-04T09:19:36.0708323Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0708681Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:19:36.0709025Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:19:36.0709391Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:19:36.0709762Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:19:36.0710128Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:19:36.0710506Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:19:36.0710885Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-12-04T09:19:36.0711244Z self_output = self.self(input_tensor, attention_mask) 2025-12-04T09:19:36.0711613Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward 2025-12-04T09:19:36.0711964Z mixed_value_layer = self.value(hidden_states) 2025-12-04T09:19:36.0712106Z 2025-12-04T09:19:36.0712186Z cudagraph partition due to non gpu ops 2025-12-04T09:19:36.0712390Z cudagraph partition due to non gpu ops 2025-12-04T09:19:36.0712609Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0712971Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:19:36.0713341Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:19:36.0713701Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:19:36.0714072Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:19:36.0714455Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:19:36.0714839Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:19:36.0715213Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward 2025-12-04T09:19:36.0715697Z attention_output = self.output(self_output, input_tensor) 2025-12-04T09:19:36.0716126Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward 2025-12-04T09:19:36.0716473Z hidden_states = self.dense(hidden_states) 2025-12-04T09:19:36.0716605Z 2025-12-04T09:19:36.0716706Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0717075Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:19:36.0717434Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:19:36.0717780Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:19:36.0718160Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:19:36.0718535Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-12-04T09:19:36.0718918Z intermediate_output = self.intermediate(attention_output) 2025-12-04T09:19:36.0719286Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward 2025-12-04T09:19:36.0719630Z hidden_states = self.dense(hidden_states) 2025-12-04T09:19:36.0719765Z 2025-12-04T09:19:36.0719863Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0720226Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:19:36.0720570Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:19:36.0720925Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:19:36.0721298Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:19:36.0721710Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-12-04T09:19:36.0722138Z intermediate_output = self.intermediate(attention_output) 2025-12-04T09:19:36.0722542Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward 2025-12-04T09:19:36.0722933Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-12-04T09:19:36.0723317Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu 2025-12-04T09:19:36.0723670Z return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0))) 2025-12-04T09:19:36.0723817Z 2025-12-04T09:19:36.0723916Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0724280Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:19:36.0724690Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:19:36.0725063Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:19:36.0725454Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:19:36.0725832Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward 2025-12-04T09:19:36.0726237Z layer_output = self.output(intermediate_output, attention_output) 2025-12-04T09:19:36.0726671Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward 2025-12-04T09:19:36.0727033Z hidden_states = self.dense(hidden_states) 2025-12-04T09:19:36.0727168Z 2025-12-04T09:19:36.0727271Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0727680Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:19:36.0728059Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:19:36.0728431Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:19:36.0728816Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:19:36.0729205Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:19:36.0729614Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:19:36.0730018Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-12-04T09:19:36.0730391Z self_output = self.self(input_tensor, attention_mask) 2025-12-04T09:19:36.0730771Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward 2025-12-04T09:19:36.0731140Z mixed_query_layer = self.query(hidden_states) 2025-12-04T09:19:36.0731283Z 2025-12-04T09:19:36.0731385Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0731773Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:19:36.0732148Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:19:36.0732535Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:19:36.0732897Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:19:36.0733265Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:19:36.0733650Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:19:36.0734033Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-12-04T09:19:36.0734386Z self_output = self.self(input_tensor, attention_mask) 2025-12-04T09:19:36.0734739Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward 2025-12-04T09:19:36.0735099Z mixed_key_layer = self.key(hidden_states) 2025-12-04T09:19:36.0735230Z 2025-12-04T09:19:36.0735389Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0735748Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:19:36.0736094Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:19:36.0736440Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:19:36.0736805Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:19:36.0737171Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:19:36.0737569Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:19:36.0737962Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-12-04T09:19:36.0738335Z self_output = self.self(input_tensor, attention_mask) 2025-12-04T09:19:36.0738701Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward 2025-12-04T09:19:36.0739052Z mixed_value_layer = self.value(hidden_states) 2025-12-04T09:19:36.0739194Z 2025-12-04T09:19:36.0739290Z cudagraph partition due to non gpu ops 2025-12-04T09:19:36.0739495Z cudagraph partition due to non gpu ops 2025-12-04T09:19:36.0739710Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0740074Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:19:36.0740448Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:19:36.0740800Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:19:36.0741164Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:19:36.0741529Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:19:36.0741913Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:19:36.0742284Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward 2025-12-04T09:19:36.0742657Z attention_output = self.output(self_output, input_tensor) 2025-12-04T09:19:36.0743028Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward 2025-12-04T09:19:36.0743370Z hidden_states = self.dense(hidden_states) 2025-12-04T09:19:36.0743500Z 2025-12-04T09:19:36.0743597Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0743960Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:19:36.0744316Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:19:36.0744664Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:19:36.0745025Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:19:36.0745393Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-12-04T09:19:36.0745769Z intermediate_output = self.intermediate(attention_output) 2025-12-04T09:19:36.0746130Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward 2025-12-04T09:19:36.0746475Z hidden_states = self.dense(hidden_states) 2025-12-04T09:19:36.0746611Z 2025-12-04T09:19:36.0746708Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0747067Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:19:36.0747428Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:19:36.0747784Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:19:36.0748161Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:19:36.0748534Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-12-04T09:19:36.0748912Z intermediate_output = self.intermediate(attention_output) 2025-12-04T09:19:36.0749292Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward 2025-12-04T09:19:36.0749670Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-12-04T09:19:36.0750041Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu 2025-12-04T09:19:36.0750397Z return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0))) 2025-12-04T09:19:36.0750547Z 2025-12-04T09:19:36.0750646Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0751008Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:19:36.0751355Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:19:36.0751703Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:19:36.0752087Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:19:36.0752448Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward 2025-12-04T09:19:36.0752839Z layer_output = self.output(intermediate_output, attention_output) 2025-12-04T09:19:36.0753223Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward 2025-12-04T09:19:36.0753565Z hidden_states = self.dense(hidden_states) 2025-12-04T09:19:36.0753692Z 2025-12-04T09:19:36.0753791Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0754150Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:19:36.0754501Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:19:36.0754846Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:19:36.0755210Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:19:36.0755577Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:19:36.0755966Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:19:36.0756346Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-12-04T09:19:36.0756701Z self_output = self.self(input_tensor, attention_mask) 2025-12-04T09:19:36.0757058Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward 2025-12-04T09:19:36.0757410Z mixed_query_layer = self.query(hidden_states) 2025-12-04T09:19:36.0757547Z 2025-12-04T09:19:36.0757650Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0758003Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:19:36.0758359Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:19:36.0758708Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:19:36.0759074Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:19:36.0759444Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:19:36.0759851Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:19:36.0760238Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-12-04T09:19:36.0760589Z self_output = self.self(input_tensor, attention_mask) 2025-12-04T09:19:36.0760946Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward 2025-12-04T09:19:36.0761288Z mixed_key_layer = self.key(hidden_states) 2025-12-04T09:19:36.0761416Z 2025-12-04T09:19:36.0761520Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0761872Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:19:36.0762331Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:19:36.0762699Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:19:36.0763079Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:19:36.0763523Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:19:36.0763913Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:19:36.0764296Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-12-04T09:19:36.0764721Z self_output = self.self(input_tensor, attention_mask) 2025-12-04T09:19:36.0765092Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward 2025-12-04T09:19:36.0765457Z mixed_value_layer = self.value(hidden_states) 2025-12-04T09:19:36.0765601Z 2025-12-04T09:19:36.0765709Z cudagraph partition due to non gpu ops 2025-12-04T09:19:36.0765914Z cudagraph partition due to non gpu ops 2025-12-04T09:19:36.0766142Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0766516Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:19:36.0766876Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:19:36.0767242Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:19:36.0767627Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:19:36.0768008Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:19:36.0768400Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:19:36.0768794Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward 2025-12-04T09:19:36.0769178Z attention_output = self.output(self_output, input_tensor) 2025-12-04T09:19:36.0769553Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward 2025-12-04T09:19:36.0769908Z hidden_states = self.dense(hidden_states) 2025-12-04T09:19:36.0770049Z 2025-12-04T09:19:36.0770147Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0770516Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:19:36.0770876Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:19:36.0771235Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:19:36.0771613Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:19:36.0771994Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-12-04T09:19:36.0772376Z intermediate_output = self.intermediate(attention_output) 2025-12-04T09:19:36.0773093Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward 2025-12-04T09:19:36.0773453Z hidden_states = self.dense(hidden_states) 2025-12-04T09:19:36.0773584Z 2025-12-04T09:19:36.0773683Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0774055Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:19:36.0774423Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:19:36.0774782Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:19:36.0775157Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:19:36.0775539Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-12-04T09:19:36.0775947Z intermediate_output = self.intermediate(attention_output) 2025-12-04T09:19:36.0776328Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward 2025-12-04T09:19:36.0776702Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-12-04T09:19:36.0777079Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu 2025-12-04T09:19:36.0777433Z return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0))) 2025-12-04T09:19:36.0777592Z 2025-12-04T09:19:36.0777688Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0778049Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:19:36.0778400Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:19:36.0778765Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:19:36.0779135Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:19:36.0779504Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward 2025-12-04T09:19:36.0779896Z layer_output = self.output(intermediate_output, attention_output) 2025-12-04T09:19:36.0780277Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward 2025-12-04T09:19:36.0780623Z hidden_states = self.dense(hidden_states) 2025-12-04T09:19:36.0780760Z 2025-12-04T09:19:36.0780856Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0781218Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:19:36.0781566Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:19:36.0781916Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:19:36.0782288Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:19:36.0782658Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:19:36.0783037Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:19:36.0783421Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-12-04T09:19:36.0783786Z self_output = self.self(input_tensor, attention_mask) 2025-12-04T09:19:36.0784145Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward 2025-12-04T09:19:36.0784489Z mixed_query_layer = self.query(hidden_states) 2025-12-04T09:19:36.0784633Z 2025-12-04T09:19:36.0784730Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0785096Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:19:36.0785442Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:19:36.0785806Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:19:36.0786176Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:19:36.0786542Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:19:36.0786917Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:19:36.0787293Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-12-04T09:19:36.0787644Z self_output = self.self(input_tensor, attention_mask) 2025-12-04T09:19:36.0787998Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward 2025-12-04T09:19:36.0788362Z mixed_key_layer = self.key(hidden_states) 2025-12-04T09:19:36.0788499Z 2025-12-04T09:19:36.0788597Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0788964Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:19:36.0789314Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:19:36.0789673Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:19:36.0790095Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:19:36.0790472Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:19:36.0790860Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:19:36.0791263Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-12-04T09:19:36.0791636Z self_output = self.self(input_tensor, attention_mask) 2025-12-04T09:19:36.0792004Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward 2025-12-04T09:19:36.0792357Z mixed_value_layer = self.value(hidden_states) 2025-12-04T09:19:36.0792506Z 2025-12-04T09:19:36.0792588Z cudagraph partition due to non gpu ops 2025-12-04T09:19:36.0792799Z cudagraph partition due to non gpu ops 2025-12-04T09:19:36.0793021Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0793392Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:19:36.0793755Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:19:36.0794129Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:19:36.0794496Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:19:36.0794869Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:19:36.0795258Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:19:36.0795635Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward 2025-12-04T09:19:36.0795992Z attention_output = self.output(self_output, input_tensor) 2025-12-04T09:19:36.0810976Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward 2025-12-04T09:19:36.0811473Z hidden_states = self.dense(hidden_states) 2025-12-04T09:19:36.0811619Z 2025-12-04T09:19:36.0811737Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0812122Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:19:36.0812505Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:19:36.0812874Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:19:36.0813340Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:19:36.0813723Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-12-04T09:19:36.0814108Z intermediate_output = self.intermediate(attention_output) 2025-12-04T09:19:36.0814488Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward 2025-12-04T09:19:36.0814835Z hidden_states = self.dense(hidden_states) 2025-12-04T09:19:36.0814979Z 2025-12-04T09:19:36.0815082Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0815454Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:19:36.0816081Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:19:36.0816436Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:19:36.0816823Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:19:36.0817199Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-12-04T09:19:36.0817576Z intermediate_output = self.intermediate(attention_output) 2025-12-04T09:19:36.0817953Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward 2025-12-04T09:19:36.0818412Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-12-04T09:19:36.0818780Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu 2025-12-04T09:19:36.0819133Z return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0))) 2025-12-04T09:19:36.0819329Z 2025-12-04T09:19:36.0819434Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0819803Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:19:36.0820163Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:19:36.0820509Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:19:36.0820881Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:19:36.0821252Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward 2025-12-04T09:19:36.0821635Z layer_output = self.output(intermediate_output, attention_output) 2025-12-04T09:19:36.0822023Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward 2025-12-04T09:19:36.0822375Z hidden_states = self.dense(hidden_states) 2025-12-04T09:19:36.0822507Z 2025-12-04T09:19:36.0822612Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0822968Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 518, in forward 2025-12-04T09:19:36.0823332Z pooled_output = self.pooler(sequence_output) 2025-12-04T09:19:36.0823683Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 404, in forward 2025-12-04T09:19:36.0824035Z pooled_output = self.dense(first_token_tensor) 2025-12-04T09:19:36.0824174Z 2025-12-04T09:19:36.0824273Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:36.0824634Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 518, in forward 2025-12-04T09:19:36.0824986Z pooled_output = self.pooler(sequence_output) 2025-12-04T09:19:36.0825328Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 405, in forward 2025-12-04T09:19:36.0825689Z pooled_output = self.activation(pooled_output) 2025-12-04T09:19:36.0825834Z 2025-12-04T09:19:38.6584539Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:38.6586968Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/embeddings/bert_embedding.py", line 140, in torch_dynamo_resume_in_forward_at_137 2025-12-04T09:19:38.6591243Z return self.dropout(outputs) 2025-12-04T09:19:38.6593517Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/embeddings/embedding.py", line 160, in dropout 2025-12-04T09:19:38.6597991Z return self.dropout_layer(words) 2025-12-04T09:19:38.6598322Z 2025-12-04T09:19:39.4317625Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:39.4318143Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/models/bert.py", line 266, in torch_dynamo_resume_in_forward_at_265 2025-12-04T09:19:39.4318862Z logits = self.qa_outputs(sequence_output) # [batch_size, seq_len, num_labels] 2025-12-04T09:19:39.4319064Z 2025-12-04T09:19:40.0422860Z Compilation time (from dynamo_timed): 16.524513679 2025-12-04T09:19:40.0426909Z pass 2025-12-04T09:19:40.0428940Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:19:40.0429934Z TIMING: gc:0.00347 entire_frame_compile:16.52451 _recursive_pre_grad_passes:0.00755 _recursive_joint_graph_passes:0.45174 _recursive_post_grad_passes:0.05604 async_compile.wait:1.65203 code_gen:9.60897 inductor_compile:10.63528 backend_compile:13.68234 total_wall_time:16.52451 2025-12-04T09:19:40.0435235Z STATS: call_* op count: 440 | FakeTensorMode.__torch_dispatch__:8971 | ProxyTorchDispatchMode.__torch_dispatch__:2735 | FakeTensor.__torch_dispatch__:4216 2025-12-04T09:19:40.0439811Z Dynamo produced 4 graphs covering 440 ops with 4 graph breaks (1 unique) 2025-12-04T09:19:41.3980680Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-12-04T09:19:41.3981470Z import pynvml # type: ignore[import] 2025-12-04T09:19:43.2282772Z 2025-12-04T09:19:43.5440519Z loading model: 0it [00:00, ?it/s] 2025-12-04T09:19:43.5440805Z loading model: 0it [00:00, ?it/s] 2025-12-04T09:19:43.5441026Z cpu eval functorch_dp_cifar10 2025-12-04T09:19:43.5803024Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:19:43.6054015Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:19:43.6252359Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:19:47.2319620Z cudagraph partition due to non gpu ops 2025-12-04T09:19:47.2320064Z cudagraph partition due to non gpu ops 2025-12-04T09:19:47.2320303Z cudagraph partition due to non gpu ops 2025-12-04T09:19:47.2320507Z cudagraph partition due to non gpu ops 2025-12-04T09:19:47.2320714Z cudagraph partition due to non gpu ops 2025-12-04T09:19:47.2320919Z cudagraph partition due to non gpu ops 2025-12-04T09:19:47.2321109Z cudagraph partition due to non gpu ops 2025-12-04T09:19:47.2321309Z cudagraph partition due to non gpu ops 2025-12-04T09:19:47.2321501Z cudagraph partition due to non gpu ops 2025-12-04T09:19:47.2321689Z cudagraph partition due to non gpu ops 2025-12-04T09:19:47.2321884Z cudagraph partition due to non gpu ops 2025-12-04T09:19:47.2322150Z cudagraph partition due to non gpu ops 2025-12-04T09:19:47.2322361Z cudagraph partition due to non gpu ops 2025-12-04T09:19:47.2322567Z cudagraph partition due to non gpu ops 2025-12-04T09:19:47.2322768Z cudagraph partition due to non gpu ops 2025-12-04T09:19:47.2322960Z cudagraph partition due to non gpu ops 2025-12-04T09:19:47.2323168Z cudagraph partition due to non gpu ops 2025-12-04T09:19:47.2323369Z cudagraph partition due to non gpu ops 2025-12-04T09:19:47.2323619Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:47.2324260Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:19:47.2324588Z return mod(*inputs) 2025-12-04T09:19:47.2324935Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-12-04T09:19:47.2325277Z return self._forward_impl(x) 2025-12-04T09:19:47.2325624Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 268, in _forward_impl 2025-12-04T09:19:47.2325975Z x = self.conv1(x) 2025-12-04T09:19:47.2326076Z 2025-12-04T09:19:47.2326185Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:47.2326525Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:19:47.2326888Z return mod(*inputs) 2025-12-04T09:19:47.2327199Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-12-04T09:19:47.2327524Z return self._forward_impl(x) 2025-12-04T09:19:47.2327868Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 270, in _forward_impl 2025-12-04T09:19:47.2328206Z x = self.relu(x) 2025-12-04T09:19:47.2328301Z 2025-12-04T09:19:47.2328407Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:47.2328747Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:19:47.2329103Z return mod(*inputs) 2025-12-04T09:19:47.2329412Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-12-04T09:19:47.2329736Z return self._forward_impl(x) 2025-12-04T09:19:47.2330120Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 271, in _forward_impl 2025-12-04T09:19:47.2330462Z x = self.maxpool(x) 2025-12-04T09:19:47.2330559Z 2025-12-04T09:19:47.2330665Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:47.2331000Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:19:47.2331302Z return mod(*inputs) 2025-12-04T09:19:47.2331605Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-12-04T09:19:47.2331928Z return self._forward_impl(x) 2025-12-04T09:19:47.2332262Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-12-04T09:19:47.2332603Z x = self.layer1(x) 2025-12-04T09:19:47.2332906Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 92, in forward 2025-12-04T09:19:47.2333221Z out = self.conv1(x) 2025-12-04T09:19:47.2333329Z 2025-12-04T09:19:47.2333429Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:47.2333773Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:19:47.2334068Z return mod(*inputs) 2025-12-04T09:19:47.2334373Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-12-04T09:19:47.2334701Z return self._forward_impl(x) 2025-12-04T09:19:47.2335034Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-12-04T09:19:47.2335365Z x = self.layer1(x) 2025-12-04T09:19:47.2335668Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 94, in forward 2025-12-04T09:19:47.2335989Z out = self.relu(out) 2025-12-04T09:19:47.2336090Z 2025-12-04T09:19:47.2336185Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:47.2336522Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:19:47.2336825Z return mod(*inputs) 2025-12-04T09:19:47.2337121Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-12-04T09:19:47.2337463Z return self._forward_impl(x) 2025-12-04T09:19:47.2337797Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-12-04T09:19:47.2338139Z x = self.layer1(x) 2025-12-04T09:19:47.2338433Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 96, in forward 2025-12-04T09:19:47.2338753Z out = self.conv2(out) 2025-12-04T09:19:47.2338855Z 2025-12-04T09:19:47.2338957Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:47.2339284Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:19:47.2339582Z return mod(*inputs) 2025-12-04T09:19:47.2339929Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-12-04T09:19:47.2340250Z return self._forward_impl(x) 2025-12-04T09:19:47.2340570Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-12-04T09:19:47.2340898Z x = self.layer1(x) 2025-12-04T09:19:47.2341192Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 103, in forward 2025-12-04T09:19:47.2341503Z out = self.relu(out) 2025-12-04T09:19:47.2341611Z 2025-12-04T09:19:47.2341728Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:47.2342063Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:19:47.2342365Z return mod(*inputs) 2025-12-04T09:19:47.2342659Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-12-04T09:19:47.2343005Z return self._forward_impl(x) 2025-12-04T09:19:47.2343342Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-12-04T09:19:47.2343671Z x = self.layer1(x) 2025-12-04T09:19:47.2343974Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 92, in forward 2025-12-04T09:19:47.2344293Z out = self.conv1(x) 2025-12-04T09:19:47.2344388Z 2025-12-04T09:19:47.2344492Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:47.2344823Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:19:47.2345125Z return mod(*inputs) 2025-12-04T09:19:47.2345460Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-12-04T09:19:47.2345838Z return self._forward_impl(x) 2025-12-04T09:19:47.2346176Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-12-04T09:19:47.2346513Z x = self.layer1(x) 2025-12-04T09:19:47.2346811Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 94, in forward 2025-12-04T09:19:47.2347124Z out = self.relu(out) 2025-12-04T09:19:47.2347230Z 2025-12-04T09:19:47.2347325Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:47.2347662Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:19:47.2347954Z return mod(*inputs) 2025-12-04T09:19:47.2348251Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-12-04T09:19:47.2348579Z return self._forward_impl(x) 2025-12-04T09:19:47.2348908Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-12-04T09:19:47.2349236Z x = self.layer1(x) 2025-12-04T09:19:47.2349535Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 96, in forward 2025-12-04T09:19:47.2349852Z out = self.conv2(out) 2025-12-04T09:19:47.2349958Z 2025-12-04T09:19:47.2350074Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:47.2350413Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:19:47.2350711Z return mod(*inputs) 2025-12-04T09:19:47.2351010Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-12-04T09:19:47.2351331Z return self._forward_impl(x) 2025-12-04T09:19:47.2351657Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-12-04T09:19:47.2351989Z x = self.layer1(x) 2025-12-04T09:19:47.2352280Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 103, in forward 2025-12-04T09:19:47.2352623Z out = self.relu(out) 2025-12-04T09:19:47.2352729Z 2025-12-04T09:19:47.2352825Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:47.2353154Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:19:47.2353445Z return mod(*inputs) 2025-12-04T09:19:47.2353741Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-12-04T09:19:47.2354063Z return self._forward_impl(x) 2025-12-04T09:19:47.2354383Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-12-04T09:19:47.2354735Z x = self.layer2(x) 2025-12-04T09:19:47.2355031Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 92, in forward 2025-12-04T09:19:47.2355345Z out = self.conv1(x) 2025-12-04T09:19:47.2355439Z 2025-12-04T09:19:47.2355554Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:47.2355896Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:19:47.2356198Z return mod(*inputs) 2025-12-04T09:19:47.2356491Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-12-04T09:19:47.2356818Z return self._forward_impl(x) 2025-12-04T09:19:47.2357147Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-12-04T09:19:47.2357481Z x = self.layer2(x) 2025-12-04T09:19:47.2357774Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 94, in forward 2025-12-04T09:19:47.2358099Z out = self.relu(out) 2025-12-04T09:19:47.2358197Z 2025-12-04T09:19:47.2358301Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:47.2358627Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:19:47.2358933Z return mod(*inputs) 2025-12-04T09:19:47.2359236Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-12-04T09:19:47.2359620Z return self._forward_impl(x) 2025-12-04T09:19:47.2359950Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-12-04T09:19:47.2360283Z x = self.layer2(x) 2025-12-04T09:19:47.2360573Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 96, in forward 2025-12-04T09:19:47.2360895Z out = self.conv2(out) 2025-12-04T09:19:47.2360997Z 2025-12-04T09:19:47.2361100Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:47.2361427Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:19:47.2361730Z return mod(*inputs) 2025-12-04T09:19:47.2362035Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-12-04T09:19:47.2362489Z return self._forward_impl(x) 2025-12-04T09:19:47.2362850Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-12-04T09:19:47.2363203Z x = self.layer2(x) 2025-12-04T09:19:47.2363511Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 100, in forward 2025-12-04T09:19:47.2363842Z identity = self.downsample(x) 2025-12-04T09:19:47.2363973Z 2025-12-04T09:19:47.2364071Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:47.2364417Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:19:47.2364722Z return mod(*inputs) 2025-12-04T09:19:47.2365018Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-12-04T09:19:47.2365367Z return self._forward_impl(x) 2025-12-04T09:19:47.2365698Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-12-04T09:19:47.2366022Z x = self.layer2(x) 2025-12-04T09:19:47.2366319Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 103, in forward 2025-12-04T09:19:47.2366638Z out = self.relu(out) 2025-12-04T09:19:47.2366736Z 2025-12-04T09:19:47.2366836Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:47.2367163Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:19:47.2367483Z return mod(*inputs) 2025-12-04T09:19:47.2367784Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-12-04T09:19:47.2368103Z return self._forward_impl(x) 2025-12-04T09:19:47.2368454Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-12-04T09:19:47.2368787Z x = self.layer2(x) 2025-12-04T09:19:47.2369082Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 92, in forward 2025-12-04T09:19:47.2369391Z out = self.conv1(x) 2025-12-04T09:19:47.2369495Z 2025-12-04T09:19:47.2369591Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:47.2369922Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:19:47.2370220Z return mod(*inputs) 2025-12-04T09:19:47.2370510Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-12-04T09:19:47.2370837Z return self._forward_impl(x) 2025-12-04T09:19:47.2371170Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-12-04T09:19:47.2371497Z x = self.layer2(x) 2025-12-04T09:19:47.2371797Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 94, in forward 2025-12-04T09:19:47.2372117Z out = self.relu(out) 2025-12-04T09:19:47.2372213Z 2025-12-04T09:19:47.2372316Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:47.2372643Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:19:47.2372939Z return mod(*inputs) 2025-12-04T09:19:47.2373237Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-12-04T09:19:47.2373556Z return self._forward_impl(x) 2025-12-04T09:19:47.2373886Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-12-04T09:19:47.2374219Z x = self.layer2(x) 2025-12-04T09:19:47.2374517Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 96, in forward 2025-12-04T09:19:47.2374831Z out = self.conv2(out) 2025-12-04T09:19:47.2374941Z 2025-12-04T09:19:47.2375036Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:47.2375370Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:19:47.2375679Z return mod(*inputs) 2025-12-04T09:19:47.2375983Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-12-04T09:19:47.2376316Z return self._forward_impl(x) 2025-12-04T09:19:47.2376652Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-12-04T09:19:47.2376988Z x = self.layer2(x) 2025-12-04T09:19:47.2377291Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 103, in forward 2025-12-04T09:19:47.2377615Z out = self.relu(out) 2025-12-04T09:19:47.2377718Z 2025-12-04T09:19:47.2377819Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:47.2378178Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:19:47.2378480Z return mod(*inputs) 2025-12-04T09:19:47.2378788Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-12-04T09:19:47.2379112Z return self._forward_impl(x) 2025-12-04T09:19:47.2379445Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-12-04T09:19:47.2379783Z x = self.layer3(x) 2025-12-04T09:19:47.2380080Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 92, in forward 2025-12-04T09:19:47.2380421Z out = self.conv1(x) 2025-12-04T09:19:47.2380515Z 2025-12-04T09:19:47.2380615Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:47.2380949Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:19:47.2381283Z return mod(*inputs) 2025-12-04T09:19:47.2381583Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-12-04T09:19:47.2381912Z return self._forward_impl(x) 2025-12-04T09:19:47.2382240Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-12-04T09:19:47.2382576Z x = self.layer3(x) 2025-12-04T09:19:47.2382873Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 94, in forward 2025-12-04T09:19:47.2383192Z out = self.relu(out) 2025-12-04T09:19:47.2383292Z 2025-12-04T09:19:47.2383388Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:47.2383727Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:19:47.2384028Z return mod(*inputs) 2025-12-04T09:19:47.2384323Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-12-04T09:19:47.2384659Z return self._forward_impl(x) 2025-12-04T09:19:47.2384995Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-12-04T09:19:47.2385334Z x = self.layer3(x) 2025-12-04T09:19:47.2385629Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 96, in forward 2025-12-04T09:19:47.2385952Z out = self.conv2(out) 2025-12-04T09:19:47.2386055Z 2025-12-04T09:19:47.2386161Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:47.2386492Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:19:47.2386791Z return mod(*inputs) 2025-12-04T09:19:47.2387092Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-12-04T09:19:47.2387422Z return self._forward_impl(x) 2025-12-04T09:19:47.2387749Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-12-04T09:19:47.2388086Z x = self.layer3(x) 2025-12-04T09:19:47.2388418Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 100, in forward 2025-12-04T09:19:47.2388744Z identity = self.downsample(x) 2025-12-04T09:19:47.2388872Z 2025-12-04T09:19:47.2388967Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:47.2389300Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:19:47.2389599Z return mod(*inputs) 2025-12-04T09:19:47.2389888Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-12-04T09:19:47.2390214Z return self._forward_impl(x) 2025-12-04T09:19:47.2390546Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-12-04T09:19:47.2390895Z x = self.layer3(x) 2025-12-04T09:19:47.2391194Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 103, in forward 2025-12-04T09:19:47.2391533Z out = self.relu(out) 2025-12-04T09:19:47.2391640Z 2025-12-04T09:19:47.2391738Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:47.2392074Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:19:47.2392379Z return mod(*inputs) 2025-12-04T09:19:47.2392670Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-12-04T09:19:47.2393016Z return self._forward_impl(x) 2025-12-04T09:19:47.2393348Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-12-04T09:19:47.2393683Z x = self.layer3(x) 2025-12-04T09:19:47.2393986Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 92, in forward 2025-12-04T09:19:47.2394309Z out = self.conv1(x) 2025-12-04T09:19:47.2394403Z 2025-12-04T09:19:47.2394506Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:47.2394838Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:19:47.2395142Z return mod(*inputs) 2025-12-04T09:19:47.2395443Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-12-04T09:19:47.2395772Z return self._forward_impl(x) 2025-12-04T09:19:47.2396098Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-12-04T09:19:47.2396431Z x = self.layer3(x) 2025-12-04T09:19:47.2396729Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 94, in forward 2025-12-04T09:19:47.2397039Z out = self.relu(out) 2025-12-04T09:19:47.2397146Z 2025-12-04T09:19:47.2397243Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:47.2397580Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:19:47.2397877Z return mod(*inputs) 2025-12-04T09:19:47.2398173Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-12-04T09:19:47.2398498Z return self._forward_impl(x) 2025-12-04T09:19:47.2398828Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-12-04T09:19:47.2399159Z x = self.layer3(x) 2025-12-04T09:19:47.2399455Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 96, in forward 2025-12-04T09:19:47.2399777Z out = self.conv2(out) 2025-12-04T09:19:47.2399879Z 2025-12-04T09:19:47.2399979Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:47.2400311Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:19:47.2400612Z return mod(*inputs) 2025-12-04T09:19:47.2400913Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-12-04T09:19:47.2401263Z return self._forward_impl(x) 2025-12-04T09:19:47.2401607Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-12-04T09:19:47.2401960Z x = self.layer3(x) 2025-12-04T09:19:47.2402388Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 103, in forward 2025-12-04T09:19:47.2402732Z out = self.relu(out) 2025-12-04T09:19:47.2402846Z 2025-12-04T09:19:47.2402950Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:47.2403304Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:19:47.2403650Z return mod(*inputs) 2025-12-04T09:19:47.2403995Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-12-04T09:19:47.2404352Z return self._forward_impl(x) 2025-12-04T09:19:47.2404713Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-12-04T09:19:47.2405070Z x = self.layer4(x) 2025-12-04T09:19:47.2405390Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 92, in forward 2025-12-04T09:19:47.2405737Z out = self.conv1(x) 2025-12-04T09:19:47.2405836Z 2025-12-04T09:19:47.2405956Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:47.2406312Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:19:47.2406628Z return mod(*inputs) 2025-12-04T09:19:47.2406942Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-12-04T09:19:47.2407301Z return self._forward_impl(x) 2025-12-04T09:19:47.2407655Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-12-04T09:19:47.2408011Z x = self.layer4(x) 2025-12-04T09:19:47.2408319Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 94, in forward 2025-12-04T09:19:47.2408658Z out = self.relu(out) 2025-12-04T09:19:47.2408769Z 2025-12-04T09:19:47.2408871Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:47.2409223Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:19:47.2409534Z return mod(*inputs) 2025-12-04T09:19:47.2409849Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-12-04T09:19:47.2410194Z return self._forward_impl(x) 2025-12-04T09:19:47.2410540Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-12-04T09:19:47.2410894Z x = self.layer4(x) 2025-12-04T09:19:47.2411204Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 96, in forward 2025-12-04T09:19:47.2411541Z out = self.conv2(out) 2025-12-04T09:19:47.2411649Z 2025-12-04T09:19:47.2411750Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:47.2412101Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:19:47.2412414Z return mod(*inputs) 2025-12-04T09:19:47.2412721Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-12-04T09:19:47.2413064Z return self._forward_impl(x) 2025-12-04T09:19:47.2413420Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-12-04T09:19:47.2413751Z x = self.layer4(x) 2025-12-04T09:19:47.2414039Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 100, in forward 2025-12-04T09:19:47.2414369Z identity = self.downsample(x) 2025-12-04T09:19:47.2414487Z 2025-12-04T09:19:47.2414703Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:47.2415031Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:19:47.2415331Z return mod(*inputs) 2025-12-04T09:19:47.2415818Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-12-04T09:19:47.2416159Z return self._forward_impl(x) 2025-12-04T09:19:47.2416484Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-12-04T09:19:47.2416822Z x = self.layer4(x) 2025-12-04T09:19:47.2417120Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 103, in forward 2025-12-04T09:19:47.2417486Z out = self.relu(out) 2025-12-04T09:19:47.2417593Z 2025-12-04T09:19:47.2417689Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:47.2418024Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:19:47.2418325Z return mod(*inputs) 2025-12-04T09:19:47.2418614Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-12-04T09:19:47.2418937Z return self._forward_impl(x) 2025-12-04T09:19:47.2419267Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-12-04T09:19:47.2419621Z x = self.layer4(x) 2025-12-04T09:19:47.2419918Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 92, in forward 2025-12-04T09:19:47.2420240Z out = self.conv1(x) 2025-12-04T09:19:47.2420334Z 2025-12-04T09:19:47.2420462Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:47.2420791Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:19:47.2421093Z return mod(*inputs) 2025-12-04T09:19:47.2421392Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-12-04T09:19:47.2421717Z return self._forward_impl(x) 2025-12-04T09:19:47.2422041Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-12-04T09:19:47.2422377Z x = self.layer4(x) 2025-12-04T09:19:47.2422673Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 94, in forward 2025-12-04T09:19:47.2422985Z out = self.relu(out) 2025-12-04T09:19:47.2423092Z 2025-12-04T09:19:47.2423188Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:47.2423526Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:19:47.2423825Z return mod(*inputs) 2025-12-04T09:19:47.2424117Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-12-04T09:19:47.2424446Z return self._forward_impl(x) 2025-12-04T09:19:47.2424778Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-12-04T09:19:47.2425105Z x = self.layer4(x) 2025-12-04T09:19:47.2425401Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 96, in forward 2025-12-04T09:19:47.2425725Z out = self.conv2(out) 2025-12-04T09:19:47.2425826Z 2025-12-04T09:19:47.2425928Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:47.2426255Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:19:47.2426553Z return mod(*inputs) 2025-12-04T09:19:47.2426856Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-12-04T09:19:47.2427174Z return self._forward_impl(x) 2025-12-04T09:19:47.2427961Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 278, in _forward_impl 2025-12-04T09:19:47.2428299Z x = self.avgpool(x) 2025-12-04T09:19:47.2428392Z 2025-12-04T09:19:47.2428494Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:19:47.2428819Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:19:47.2429113Z return mod(*inputs) 2025-12-04T09:19:47.2429413Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-12-04T09:19:47.2429731Z return self._forward_impl(x) 2025-12-04T09:19:47.2430062Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 280, in _forward_impl 2025-12-04T09:19:47.2430418Z x = self.fc(x) 2025-12-04T09:19:47.2430508Z 2025-12-04T09:19:57.9309967Z Compilation time (from dynamo_timed): 13.87166456 2025-12-04T09:19:57.9310262Z pass 2025-12-04T09:19:57.9310565Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:19:57.9311288Z TIMING: _recursive_pre_grad_passes:0.00374 _recursive_joint_graph_passes:0.16605 _recursive_post_grad_passes:0.03553 async_compile.wait:1.94171 code_gen:10.99729 inductor_compile:11.66285 backend_compile:13.11877 gc:7e-05 entire_frame_compile:13.87166 total_wall_time:13.87166 2025-12-04T09:19:57.9312315Z STATS: call_* op count: 69 | FakeTensorMode.__torch_dispatch__:2447 | FakeTensor.__torch_dispatch__:2307 | ProxyTorchDispatchMode.__torch_dispatch__:724 2025-12-04T09:19:57.9312775Z Dynamo produced 1 graphs covering 69 ops with 0 graph breaks (0 unique) 2025-12-04T09:19:59.1190276Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-12-04T09:19:59.1191772Z import pynvml # type: ignore[import] 2025-12-04T09:20:01.0105303Z 2025-12-04T09:20:01.2105698Z loading model: 0it [00:00, ?it/s] 2025-12-04T09:20:01.2106115Z loading model: 0it [00:00, ?it/s] 2025-12-04T09:20:01.2106451Z cpu eval functorch_maml_omniglot 2025-12-04T09:20:01.2153919Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:20:01.2196038Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:20:01.2222157Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:20:03.1008431Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:20:03.1009001Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:20:03.1009402Z return mod(*inputs) 2025-12-04T09:20:03.1009527Z 2025-12-04T09:20:03.1009626Z cudagraph partition due to non gpu ops 2025-12-04T09:20:03.1009881Z cudagraph partition due to non gpu ops 2025-12-04T09:20:03.1010148Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:20:03.1010550Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:20:03.1010918Z return mod(*inputs) 2025-12-04T09:20:03.1011038Z 2025-12-04T09:20:03.1011151Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:20:03.1011549Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:20:03.1011920Z return mod(*inputs) 2025-12-04T09:20:03.1012042Z 2025-12-04T09:20:03.1012155Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:20:03.1012547Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:20:03.1012916Z return mod(*inputs) 2025-12-04T09:20:03.1013027Z 2025-12-04T09:20:03.1013137Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:20:03.1013819Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:20:03.1014166Z return mod(*inputs) 2025-12-04T09:20:03.1014276Z 2025-12-04T09:20:03.1014388Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:20:03.1014776Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:20:03.1015116Z return mod(*inputs) 2025-12-04T09:20:03.1015239Z 2025-12-04T09:20:03.1015358Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:20:03.1015914Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:20:03.1016302Z return mod(*inputs) 2025-12-04T09:20:03.1016497Z 2025-12-04T09:20:03.1016611Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:20:03.1016961Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:20:03.1017261Z return mod(*inputs) 2025-12-04T09:20:03.1017361Z 2025-12-04T09:20:03.1017457Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:20:03.1017790Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:20:03.1018085Z return mod(*inputs) 2025-12-04T09:20:03.1018186Z 2025-12-04T09:20:03.1018281Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:20:03.1018754Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:20:03.1019055Z return mod(*inputs) 2025-12-04T09:20:03.1019148Z 2025-12-04T09:20:11.1258437Z Compilation time (from dynamo_timed): 9.506254236 2025-12-04T09:20:11.1258803Z pass 2025-12-04T09:20:11.1270636Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:20:11.1271830Z TIMING: _recursive_pre_grad_passes:0.00298 _recursive_joint_graph_passes:0.24501 _recursive_post_grad_passes:0.01521 async_compile.wait:0.72762 code_gen:8.02862 inductor_compile:8.15654 backend_compile:9.19847 gc:0.00067 entire_frame_compile:9.50625 total_wall_time:9.50625 2025-12-04T09:20:11.1272809Z STATS: call_* op count: 14 | FakeTensor.__torch_dispatch__:296 | FakeTensorMode.__torch_dispatch__:928 | ProxyTorchDispatchMode.__torch_dispatch__:155 2025-12-04T09:20:11.1273272Z Dynamo produced 1 graphs covering 14 ops with 0 graph breaks (0 unique) 2025-12-04T09:20:12.2687528Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-12-04T09:20:12.2688762Z import pynvml # type: ignore[import] 2025-12-04T09:20:14.1018520Z 2025-12-04T09:20:14.2353831Z loading model: 0it [00:00, ?it/s] 2025-12-04T09:20:14.2357821Z loading model: 0it [00:00, ?it/s] 2025-12-04T09:20:14.2358123Z cpu eval lennard_jones 2025-12-04T09:20:14.2358945Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:20:14.2381547Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:20:14.2390157Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:20:15.7280145Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:20:15.7280607Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:20:15.7280930Z return mod(*inputs) 2025-12-04T09:20:15.7281036Z 2025-12-04T09:20:15.7281148Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:20:15.7281524Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:20:15.7281833Z return mod(*inputs) 2025-12-04T09:20:15.7281932Z 2025-12-04T09:20:15.7282040Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:20:15.7282801Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:20:15.7283181Z return mod(*inputs) 2025-12-04T09:20:15.7283286Z 2025-12-04T09:20:15.7283384Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:20:15.7283723Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:20:15.7284024Z return mod(*inputs) 2025-12-04T09:20:15.7284129Z 2025-12-04T09:20:15.7284227Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:20:15.7284560Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:20:15.7284908Z return mod(*inputs) 2025-12-04T09:20:15.7285012Z 2025-12-04T09:20:15.7285105Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:20:15.7285431Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:20:15.7285728Z return mod(*inputs) 2025-12-04T09:20:15.7285819Z 2025-12-04T09:20:15.7285916Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:20:15.7286241Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:20:15.7286539Z return mod(*inputs) 2025-12-04T09:20:15.7286631Z 2025-12-04T09:20:15.7286782Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:20:15.7287106Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:20:15.7287401Z return mod(*inputs) 2025-12-04T09:20:15.7287492Z 2025-12-04T09:20:15.7287594Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:20:15.7287959Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:20:15.7288257Z return mod(*inputs) 2025-12-04T09:20:15.7288350Z 2025-12-04T09:20:22.9032238Z Compilation time (from dynamo_timed): 8.276844399 2025-12-04T09:20:22.9032754Z pass 2025-12-04T09:20:22.9033712Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:20:22.9034648Z TIMING: _recursive_pre_grad_passes:0.0028 _recursive_joint_graph_passes:0.23931 _recursive_post_grad_passes:0.01391 async_compile.wait:0.54937 code_gen:7.12271 inductor_compile:7.17532 backend_compile:8.08265 gc:0.0001 entire_frame_compile:8.27684 total_wall_time:8.27684 2025-12-04T09:20:22.9035638Z STATS: call_* op count: 9 | FakeTensor.__torch_dispatch__:102 | FakeTensorMode.__torch_dispatch__:602 | ProxyTorchDispatchMode.__torch_dispatch__:91 2025-12-04T09:20:22.9036214Z Dynamo produced 1 graphs covering 9 ops with 0 graph breaks (0 unique) 2025-12-04T09:20:23.7937621Z accuracy pass_rate=93.55% 2025-12-04T09:20:23.7941818Z calls_captured gmean=0.00x mean=407.677x 2025-12-04T09:20:23.7942243Z unique_graphs gmean=0.00x mean=21.968x 2025-12-04T09:20:23.7942559Z graph_breaks gmean=0.00x mean=17.323x 2025-12-04T09:20:23.7946728Z unique_graph_breaks gmean=0.00x mean=2.516x 2025-12-04T09:20:23.7947085Z autograd_captures gmean=0.00x mean=0.000x 2025-12-04T09:20:23.7947359Z autograd_compiles gmean=0.00x mean=0.000x 2025-12-04T09:20:23.7947674Z cudagraph_skips gmean=0.00x mean=15.097x 2025-12-04T09:20:23.7948404Z compilation_latency mean=27.607 seconds 2025-12-04T09:20:24.2940423Z + python benchmarks/dynamo/check_accuracy.py --actual /var/lib/jenkins/workspace/test/test-reports/inference_torchbench.csv --expected benchmarks/dynamo/ci_expected_accuracy/cpu_inductor_torchbench_inference.csv 2025-12-04T09:20:24.5619643Z BERT_pytorch PASS 2025-12-04T09:20:24.5623888Z Background_Matting XFAIL 2025-12-04T09:20:24.5624421Z LearningToPaint PASS 2025-12-04T09:20:24.5626387Z Super_SloMo PASS 2025-12-04T09:20:24.5633043Z alexnet PASS 2025-12-04T09:20:24.5635468Z basic_gnn_edgecnn PASS 2025-12-04T09:20:24.5638895Z basic_gnn_gcn PASS 2025-12-04T09:20:24.5639166Z basic_gnn_gin PASS 2025-12-04T09:20:24.5646518Z basic_gnn_sage PASS 2025-12-04T09:20:24.5647049Z dcgan PASS 2025-12-04T09:20:24.5652557Z demucs PASS 2025-12-04T09:20:24.5655954Z densenet121 PASS 2025-12-04T09:20:24.5656406Z detectron2_fasterrcnn_r_101_c4 PASS 2025-12-04T09:20:24.5659578Z detectron2_fasterrcnn_r_101_dc5 PASS 2025-12-04T09:20:24.5666682Z detectron2_fasterrcnn_r_101_fpn PASS 2025-12-04T09:20:24.5671875Z detectron2_fasterrcnn_r_50_c4 PASS 2025-12-04T09:20:24.5672382Z detectron2_fasterrcnn_r_50_dc5 PASS 2025-12-04T09:20:24.5673959Z detectron2_fasterrcnn_r_50_fpn PASS 2025-12-04T09:20:24.5679008Z detectron2_fcos_r_50_fpn PASS 2025-12-04T09:20:24.5679732Z detectron2_maskrcnn_r_101_c4 XFAIL 2025-12-04T09:20:24.5683201Z detectron2_maskrcnn_r_101_fpn PASS 2025-12-04T09:20:24.5688122Z detectron2_maskrcnn_r_50_c4 PASS 2025-12-04T09:20:24.5690143Z detectron2_maskrcnn_r_50_fpn PASS 2025-12-04T09:20:24.5693130Z dlrm PASS 2025-12-04T09:20:24.5696172Z doctr_det_predictor PASS 2025-12-04T09:20:24.5699019Z doctr_reco_predictor PASS 2025-12-04T09:20:24.5702424Z drq PASS 2025-12-04T09:20:24.5705612Z fastNLP_Bert PASS 2025-12-04T09:20:24.5708869Z functorch_dp_cifar10 PASS 2025-12-04T09:20:24.5711735Z functorch_maml_omniglot PASS 2025-12-04T09:20:24.5715844Z lennard_jones PASS 2025-12-04T09:20:24.6157582Z + python benchmarks/dynamo/check_graph_breaks.py --actual /var/lib/jenkins/workspace/test/test-reports/inference_torchbench.csv --expected benchmarks/dynamo/ci_expected_accuracy/cpu_inductor_torchbench_inference.csv 2025-12-04T09:20:24.8796866Z BERT_pytorch PASS 2025-12-04T09:20:24.8797187Z Background_Matting PASS 2025-12-04T09:20:24.8799910Z LearningToPaint PASS 2025-12-04T09:20:24.8800565Z Super_SloMo PASS 2025-12-04T09:20:24.8806893Z alexnet PASS 2025-12-04T09:20:24.8807239Z basic_gnn_edgecnn PASS 2025-12-04T09:20:24.8811893Z basic_gnn_gcn PASS 2025-12-04T09:20:24.8814199Z basic_gnn_gin PASS 2025-12-04T09:20:24.8819065Z basic_gnn_sage PASS 2025-12-04T09:20:24.8828297Z dcgan PASS 2025-12-04T09:20:24.8830719Z demucs PASS 2025-12-04T09:20:24.8831083Z densenet121 PASS 2025-12-04T09:20:24.8831409Z detectron2_fasterrcnn_r_101_c4 PASS 2025-12-04T09:20:24.8837805Z detectron2_fasterrcnn_r_101_dc5 PASS 2025-12-04T09:20:24.8842405Z detectron2_fasterrcnn_r_101_fpn PASS 2025-12-04T09:20:24.8842939Z detectron2_fasterrcnn_r_50_c4 PASS 2025-12-04T09:20:24.8848871Z detectron2_fasterrcnn_r_50_dc5 PASS 2025-12-04T09:20:24.8854025Z detectron2_fasterrcnn_r_50_fpn PASS 2025-12-04T09:20:24.8854506Z detectron2_fcos_r_50_fpn PASS_BUT_FLAKY 2025-12-04T09:20:24.8858735Z detectron2_maskrcnn_r_101_c4 PASS_BUT_FLAKY 2025-12-04T09:20:24.8863267Z detectron2_maskrcnn_r_101_fpn PASS 2025-12-04T09:20:24.8869383Z detectron2_maskrcnn_r_50_c4 PASS 2025-12-04T09:20:24.8869655Z detectron2_maskrcnn_r_50_fpn PASS 2025-12-04T09:20:24.8879160Z dlrm PASS 2025-12-04T09:20:24.8879408Z doctr_det_predictor PASS 2025-12-04T09:20:24.8879623Z doctr_reco_predictor PASS 2025-12-04T09:20:24.8881204Z drq PASS 2025-12-04T09:20:24.8891665Z fastNLP_Bert PASS 2025-12-04T09:20:24.8891933Z functorch_dp_cifar10 PASS 2025-12-04T09:20:24.8892458Z functorch_maml_omniglot PASS 2025-12-04T09:20:24.8898104Z lennard_jones PASS 2025-12-04T09:20:24.9347083Z + sccache_epilogue 2025-12-04T09:20:24.9347591Z + echo '::group::Sccache Compilation Log' 2025-12-04T09:20:24.9348284Z ##[group]Sccache Compilation Log 2025-12-04T09:20:24.9348646Z + echo '=================== sccache compilation log ===================' 2025-12-04T09:20:24.9348917Z =================== sccache compilation log =================== 2025-12-04T09:20:24.9349281Z + python /var/lib/jenkins/workspace/.ci/pytorch/print_sccache_log.py /var/lib/jenkins/sccache_error.log 2025-12-04T09:20:24.9580068Z + echo '=========== If your build fails, please take a look at the log above for possible reasons ===========' 2025-12-04T09:20:24.9584415Z =========== If your build fails, please take a look at the log above for possible reasons =========== 2025-12-04T09:20:24.9588411Z + sccache --show-stats 2025-12-04T09:20:24.9611719Z Compile requests 603 2025-12-04T09:20:24.9611999Z Compile requests executed 0 2025-12-04T09:20:24.9612204Z Cache hits 0 2025-12-04T09:20:24.9612383Z Cache misses 0 2025-12-04T09:20:24.9612579Z Cache hits rate - 2025-12-04T09:20:24.9612768Z Cache timeouts 0 2025-12-04T09:20:24.9612949Z Cache read errors 0 2025-12-04T09:20:24.9613301Z Forced recaches 0 2025-12-04T09:20:24.9613492Z Cache write errors 0 2025-12-04T09:20:24.9613689Z Cache errors 0 2025-12-04T09:20:24.9613868Z Compilations 0 2025-12-04T09:20:24.9614061Z Compilation failures 0 2025-12-04T09:20:24.9614312Z Non-cacheable compilations 0 2025-12-04T09:20:24.9614504Z Non-cacheable calls 30 2025-12-04T09:20:24.9614700Z Non-compilation calls 573 2025-12-04T09:20:24.9614898Z Unsupported compiler calls 0 2025-12-04T09:20:24.9615094Z Average cache write 0.000 s 2025-12-04T09:20:24.9615308Z Average compiler 0.000 s 2025-12-04T09:20:24.9615518Z Average cache read hit 0.000 s 2025-12-04T09:20:24.9615888Z Failed distributed compilations 0 2025-12-04T09:20:24.9616020Z 2025-12-04T09:20:24.9616091Z Non-cacheable reasons: 2025-12-04T09:20:24.9616275Z -E 30 2025-12-04T09:20:24.9616405Z 2025-12-04T09:20:24.9616567Z Cache location s3, name: ossci-compiler-cache-circleci-v2, prefix: / 2025-12-04T09:20:24.9616837Z Version (client) 0.10.0 2025-12-04T09:20:24.9617037Z + sccache --stop-server 2025-12-04T09:20:24.9635184Z Stopping sccache server... 2025-12-04T09:20:24.9639745Z Compile requests 603 2025-12-04T09:20:24.9640014Z Compile requests executed 0 2025-12-04T09:20:24.9640216Z Cache hits 0 2025-12-04T09:20:24.9640404Z Cache misses 0 2025-12-04T09:20:24.9640592Z Cache hits rate - 2025-12-04T09:20:24.9640779Z Cache timeouts 0 2025-12-04T09:20:24.9640964Z Cache read errors 0 2025-12-04T09:20:24.9641150Z Forced recaches 0 2025-12-04T09:20:24.9641328Z Cache write errors 0 2025-12-04T09:20:24.9641516Z Cache errors 0 2025-12-04T09:20:24.9641705Z Compilations 0 2025-12-04T09:20:24.9641889Z Compilation failures 0 2025-12-04T09:20:24.9642087Z Non-cacheable compilations 0 2025-12-04T09:20:24.9642390Z Non-cacheable calls 30 2025-12-04T09:20:24.9642613Z Non-compilation calls 573 2025-12-04T09:20:24.9642825Z Unsupported compiler calls 0 2025-12-04T09:20:24.9643036Z Average cache write 0.000 s 2025-12-04T09:20:24.9643241Z Average compiler 0.000 s 2025-12-04T09:20:24.9643457Z Average cache read hit 0.000 s 2025-12-04T09:20:24.9643814Z Failed distributed compilations 0 2025-12-04T09:20:24.9643948Z 2025-12-04T09:20:24.9644017Z Non-cacheable reasons: 2025-12-04T09:20:24.9644195Z -E 30 2025-12-04T09:20:24.9644314Z 2025-12-04T09:20:24.9644475Z Cache location s3, name: ossci-compiler-cache-circleci-v2, prefix: / 2025-12-04T09:20:24.9644762Z Version (client) 0.10.0 2025-12-04T09:20:24.9644976Z + echo ::endgroup:: 2025-12-04T09:20:24.9645342Z ##[endgroup] 2025-12-04T09:20:24.9645502Z + cleanup_workspace 2025-12-04T09:20:24.9645807Z + echo 'sudo may print the following warning message that can be ignored. The chown command will still run.' 2025-12-04T09:20:24.9646285Z sudo may print the following warning message that can be ignored. The chown command will still run. 2025-12-04T09:20:24.9646652Z + echo ' sudo: setrlimit(RLIMIT_STACK): Operation not permitted' 2025-12-04T09:20:24.9646930Z sudo: setrlimit(RLIMIT_STACK): Operation not permitted 2025-12-04T09:20:24.9647250Z + echo 'For more details refer to https://github.com/sudo-project/sudo/issues/42' 2025-12-04T09:20:24.9647595Z For more details refer to https://github.com/sudo-project/sudo/issues/42 2025-12-04T09:20:24.9647881Z + sudo chown -R 1000 /var/lib/jenkins/workspace 2025-12-04T09:20:32.0406390Z ##[group]Run pytorch/test-infra/.github/actions/upload-benchmark-results@main 2025-12-04T09:20:32.0406757Z with: 2025-12-04T09:20:32.0406936Z benchmark-results-dir: test/test-reports 2025-12-04T09:20:32.0407132Z dry-run: false 2025-12-04T09:20:32.0407293Z schema-version: v3 2025-12-04T09:20:32.0407650Z github-token: *** 2025-12-04T09:20:32.0407805Z env: 2025-12-04T09:20:32.0407946Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:20:32.0408134Z HAS_NVIDIA_GPU: false 2025-12-04T09:20:32.0408411Z DOCKER_CONTAINER_ID: 62380445a548ddca4705ac474c383cd5999deab9929d69794a3d01eff7dd3352 2025-12-04T09:20:32.0408697Z ##[endgroup] 2025-12-04T09:20:32.0431786Z ##[group]Run set -eux 2025-12-04T09:20:32.0431991Z set -eux 2025-12-04T09:20:32.0432135Z  2025-12-04T09:20:32.0432284Z if [[ -n "" ]]; then 2025-12-04T09:20:32.0432457Z  source "" 2025-12-04T09:20:32.0432604Z fi 2025-12-04T09:20:32.0432858Z python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-12-04T09:20:32.0433106Z  2025-12-04T09:20:32.0433258Z DEVICE_NAME="" 2025-12-04T09:20:32.0433427Z DEVICE_TYPE="" 2025-12-04T09:20:32.0433583Z  2025-12-04T09:20:32.0433732Z if command -v nvidia-smi; then 2025-12-04T09:20:32.0434002Z  # NB: I'm using PyTorch here to get the device name, however, it needs to 2025-12-04T09:20:32.0434336Z  # install the correct version of PyTorch manually for now. Any PyTorch 2025-12-04T09:20:32.0434635Z  # version is fine, I just use 2.7.1 to satify PYPIDEP linter 2025-12-04T09:20:32.0434891Z  python3 -mpip install torch==2.7.1 2025-12-04T09:20:32.0435102Z elif command -v rocminfo; then 2025-12-04T09:20:32.0435360Z  # NB: Installing torch on ROCm runner with pip here causes CI to fail 2025-12-04T09:20:32.0435671Z  # with a memoryview is too large error only on MI300 runners. Is pip 2025-12-04T09:20:32.0435990Z  # version on ROCm runner there too old? As a workaround, let's use the 2025-12-04T09:20:32.0436274Z  # GPU device name coming from rocminfo instead 2025-12-04T09:20:32.0436487Z  DEVICE_NAME=rocm 2025-12-04T09:20:32.0436772Z  DEVICE_TYPE=$(rocminfo | grep "Marketing Name" | tail -n1 | awk -F':' '{print $2}' | xargs) 2025-12-04T09:20:32.0437058Z fi 2025-12-04T09:20:32.0437201Z  2025-12-04T09:20:32.0437371Z echo "DEVICE_NAME=$DEVICE_NAME" >> $GITHUB_ENV 2025-12-04T09:20:32.0437614Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV 2025-12-04T09:20:32.0446380Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:20:32.0446606Z env: 2025-12-04T09:20:32.0446764Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:20:32.0446942Z HAS_NVIDIA_GPU: false 2025-12-04T09:20:32.0447212Z DOCKER_CONTAINER_ID: 62380445a548ddca4705ac474c383cd5999deab9929d69794a3d01eff7dd3352 2025-12-04T09:20:32.0447507Z ##[endgroup] 2025-12-04T09:20:32.0476939Z + [[ -n '' ]] 2025-12-04T09:20:32.0478964Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-12-04T09:20:32.2542757Z Defaulting to user installation because normal site-packages is not writeable 2025-12-04T09:20:32.9739552Z Collecting boto3==1.35.33 2025-12-04T09:20:32.9879186Z Downloading boto3-1.35.33-py3-none-any.whl (139 kB) 2025-12-04T09:20:33.2081408Z Collecting psutil==7.0.0 2025-12-04T09:20:33.2117084Z 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) 2025-12-04T09:20:33.2384261Z Collecting pynvml==12.0.0 2025-12-04T09:20:33.2409444Z Downloading pynvml-12.0.0-py3-none-any.whl (26 kB) 2025-12-04T09:20:33.2492470Z 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) 2025-12-04T09:20:33.2786014Z Collecting s3transfer<0.11.0,>=0.10.0 2025-12-04T09:20:33.2816560Z Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB) 2025-12-04T09:20:34.0677402Z Collecting botocore<1.36.0,>=1.35.33 2025-12-04T09:20:34.0714473Z Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB) 2025-12-04T09:20:34.1894539Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0 2025-12-04T09:20:34.1922864Z Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB) 2025-12-04T09:20:34.1999231Z 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) 2025-12-04T09:20:34.2000929Z 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) 2025-12-04T09:20:34.3242099Z 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) 2025-12-04T09:20:34.4297390Z Installing collected packages: botocore, s3transfer, nvidia-ml-py, pynvml, psutil, boto3 2025-12-04T09:20:34.7587757Z Attempting uninstall: nvidia-ml-py 2025-12-04T09:20:34.7589559Z Found existing installation: nvidia-ml-py 11.525.84 2025-12-04T09:20:34.7606252Z Uninstalling nvidia-ml-py-11.525.84: 2025-12-04T09:20:34.7781736Z Successfully uninstalled nvidia-ml-py-11.525.84 2025-12-04T09:20:34.8250006Z Attempting uninstall: psutil 2025-12-04T09:20:34.8251564Z Found existing installation: psutil 5.9.8 2025-12-04T09:20:34.8302869Z Uninstalling psutil-5.9.8: 2025-12-04T09:20:34.8313084Z Successfully uninstalled psutil-5.9.8 2025-12-04T09:20:34.9580962Z 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 2025-12-04T09:20:35.0580624Z + DEVICE_NAME= 2025-12-04T09:20:35.0582591Z + DEVICE_TYPE= 2025-12-04T09:20:35.0586927Z + command -v nvidia-smi 2025-12-04T09:20:35.0587576Z + command -v rocminfo 2025-12-04T09:20:35.0592059Z + echo DEVICE_NAME= 2025-12-04T09:20:35.0594092Z + echo DEVICE_TYPE= 2025-12-04T09:20:35.0618692Z ##[group]Run set -eux 2025-12-04T09:20:35.0618876Z set -eux 2025-12-04T09:20:35.0619032Z  2025-12-04T09:20:35.0619197Z if [[ -z "${GITHUB_TOKEN}" ]]; then 2025-12-04T09:20:35.0619413Z  echo "Missing github-token input" 2025-12-04T09:20:35.0619613Z  exit 1 2025-12-04T09:20:35.0619763Z fi 2025-12-04T09:20:35.0624564Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:20:35.0624808Z env: 2025-12-04T09:20:35.0624968Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:20:35.0625134Z HAS_NVIDIA_GPU: false 2025-12-04T09:20:35.0625413Z DOCKER_CONTAINER_ID: 62380445a548ddca4705ac474c383cd5999deab9929d69794a3d01eff7dd3352 2025-12-04T09:20:35.0625707Z DEVICE_NAME: 2025-12-04T09:20:35.0625857Z DEVICE_TYPE: 2025-12-04T09:20:35.0626224Z GITHUB_TOKEN: *** 2025-12-04T09:20:35.0626384Z ##[endgroup] 2025-12-04T09:20:35.0651209Z + [[ -z *** ]] 2025-12-04T09:20:35.0700092Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main 2025-12-04T09:20:35.0700385Z with: 2025-12-04T09:20:35.0700823Z github-token: *** 2025-12-04T09:20:35.0700986Z env: 2025-12-04T09:20:35.0701136Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:20:35.0701312Z HAS_NVIDIA_GPU: false 2025-12-04T09:20:35.0701579Z DOCKER_CONTAINER_ID: 62380445a548ddca4705ac474c383cd5999deab9929d69794a3d01eff7dd3352 2025-12-04T09:20:35.0701872Z DEVICE_NAME: 2025-12-04T09:20:35.0702027Z DEVICE_TYPE: 2025-12-04T09:20:35.0702240Z ##[endgroup] 2025-12-04T09:20:35.0723395Z ##[group]Run set -eux 2025-12-04T09:20:35.0723593Z set -eux 2025-12-04T09:20:35.0723762Z  2025-12-04T09:20:35.0724083Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-12-04T09:20:35.0728522Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:20:35.0728781Z env: 2025-12-04T09:20:35.0728952Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:20:35.0729141Z HAS_NVIDIA_GPU: false 2025-12-04T09:20:35.0729568Z DOCKER_CONTAINER_ID: 62380445a548ddca4705ac474c383cd5999deab9929d69794a3d01eff7dd3352 2025-12-04T09:20:35.0729944Z DEVICE_NAME: 2025-12-04T09:20:35.0730112Z DEVICE_TYPE: 2025-12-04T09:20:35.0730396Z GITHUB_TOKEN: *** 2025-12-04T09:20:35.0730571Z ##[endgroup] 2025-12-04T09:20:35.0752403Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 19921726389 i-0ee5da048c1e0ea70 2025-12-04T09:20:36.7549138Z setting job-id=57113856410 2025-12-04T09:20:36.7549729Z setting job-name=inductor-cpu-test / test (cpu_inductor_torchbench, 1, 2, linux.2xlarge.amx) 2025-12-04T09:20:36.7650451Z ##[group]Run set -eux 2025-12-04T09:20:36.7650650Z set -eux 2025-12-04T09:20:36.7650799Z  2025-12-04T09:20:36.7650956Z if [[ -n "" ]]; then 2025-12-04T09:20:36.7651141Z  source "" 2025-12-04T09:20:36.7651294Z fi 2025-12-04T09:20:36.7651443Z  2025-12-04T09:20:36.7651709Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \ 2025-12-04T09:20:36.7652040Z  --schema-version "${SCHEMA_VERSION}" \ 2025-12-04T09:20:36.7652256Z  --repo "${REPO}" \ 2025-12-04T09:20:36.7652454Z  --head-branch "${HEAD_BRANCH}" \ 2025-12-04T09:20:36.7652667Z  --head-sha "${HEAD_SHA}" \ 2025-12-04T09:20:36.7652875Z  --workflow-id "${WORKFLOW_RUN_ID}" \ 2025-12-04T09:20:36.7653105Z  --run-attempt "${RUN_ATTEMPT}" \ 2025-12-04T09:20:36.7653310Z  --job-id "${JOB_ID}" \ 2025-12-04T09:20:36.7653499Z  --job-name "${JOB_NAME}" 2025-12-04T09:20:36.7658047Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:20:36.7658277Z env: 2025-12-04T09:20:36.7658431Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:20:36.7658599Z HAS_NVIDIA_GPU: false 2025-12-04T09:20:36.7658876Z DOCKER_CONTAINER_ID: 62380445a548ddca4705ac474c383cd5999deab9929d69794a3d01eff7dd3352 2025-12-04T09:20:36.7659167Z DEVICE_NAME: 2025-12-04T09:20:36.7659311Z DEVICE_TYPE: 2025-12-04T09:20:36.7659462Z SCHEMA_VERSION: v3 2025-12-04T09:20:36.7659629Z REPO: pytorch/pytorch 2025-12-04T09:20:36.7659793Z HEAD_BRANCH: refs/heads/main 2025-12-04T09:20:36.7660004Z HEAD_SHA: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:20:36.7660223Z WORKFLOW_RUN_ID: 19921726389 2025-12-04T09:20:36.7660384Z RUN_ATTEMPT: 1 2025-12-04T09:20:36.7660539Z JOB_ID: 57113856410 2025-12-04T09:20:36.7660795Z JOB_NAME: inductor-cpu-test / test (cpu_inductor_torchbench, 1, 2, linux.2xlarge.amx) 2025-12-04T09:20:36.7661068Z ##[endgroup] 2025-12-04T09:20:36.7684848Z + [[ -n '' ]] 2025-12-04T09:20:36.7690175Z + 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 ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 --workflow-id 19921726389 --run-attempt 1 --job-id 57113856410 --job-name 'inductor-cpu-test / test (cpu_inductor_torchbench, 1, 2, linux.2xlarge.amx)' 2025-12-04T09:20:36.7942463Z ##[group]Run set -eux 2025-12-04T09:20:36.7942649Z set -eux 2025-12-04T09:20:36.7942803Z  2025-12-04T09:20:36.7942948Z if [[ -n "" ]]; then 2025-12-04T09:20:36.7943131Z  source "" 2025-12-04T09:20:36.7943295Z fi 2025-12-04T09:20:36.7943495Z  2025-12-04T09:20:36.7943741Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py" 2025-12-04T09:20:36.7948012Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:20:36.7948239Z env: 2025-12-04T09:20:36.7948389Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:20:36.7948563Z HAS_NVIDIA_GPU: false 2025-12-04T09:20:36.7948835Z DOCKER_CONTAINER_ID: 62380445a548ddca4705ac474c383cd5999deab9929d69794a3d01eff7dd3352 2025-12-04T09:20:36.7949120Z DEVICE_NAME: 2025-12-04T09:20:36.7949376Z DEVICE_TYPE: 2025-12-04T09:20:36.7949530Z ##[endgroup] 2025-12-04T09:20:36.7970660Z + [[ -n '' ]] 2025-12-04T09:20:36.7971550Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py 2025-12-04T09:20:36.8280167Z INFO:root:Fail to import torch to get the device name 2025-12-04T09:20:36.8377564Z ##[group]Run set -eux 2025-12-04T09:20:36.8377756Z set -eux 2025-12-04T09:20:36.8377910Z  2025-12-04T09:20:36.8378082Z # TODO (huydhn): Implement this part 2025-12-04T09:20:36.8378322Z echo "dependencies={}" >> "${GITHUB_OUTPUT}" 2025-12-04T09:20:36.8382307Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:20:36.8382534Z env: 2025-12-04T09:20:36.8382687Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:20:36.8382853Z HAS_NVIDIA_GPU: false 2025-12-04T09:20:36.8383127Z DOCKER_CONTAINER_ID: 62380445a548ddca4705ac474c383cd5999deab9929d69794a3d01eff7dd3352 2025-12-04T09:20:36.8383427Z DEVICE_NAME: 2025-12-04T09:20:36.8383575Z DEVICE_TYPE: 2025-12-04T09:20:36.8383736Z ##[endgroup] 2025-12-04T09:20:36.8403230Z + echo 'dependencies={}' 2025-12-04T09:20:36.8434218Z ##[group]Run set -eux 2025-12-04T09:20:36.8434408Z set -eux 2025-12-04T09:20:36.8434561Z  2025-12-04T09:20:36.8434713Z if [[ -n "" ]]; then 2025-12-04T09:20:36.8434882Z  source "" 2025-12-04T09:20:36.8435045Z fi 2025-12-04T09:20:36.8435188Z  2025-12-04T09:20:36.8435355Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then 2025-12-04T09:20:36.8435625Z  echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping" 2025-12-04T09:20:36.8435917Z  # We don't want the job to fail if the directory doesn't exist 2025-12-04T09:20:36.8436147Z  exit 0 2025-12-04T09:20:36.8436287Z fi 2025-12-04T09:20:36.8436428Z  2025-12-04T09:20:36.8436586Z if [[ "${DRY_RUN}" == "true" ]]; then 2025-12-04T09:20:36.8436873Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-12-04T09:20:36.8437204Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-12-04T09:20:36.8437463Z  --metadata "${BENCHMARK_METADATA}" \ 2025-12-04T09:20:36.8437681Z  --runners "${RUNNER_INFO}" \ 2025-12-04T09:20:36.8437891Z  --dependencies "${DEPENDENCIES}" \ 2025-12-04T09:20:36.8438098Z  --dry-run 2025-12-04T09:20:36.8438259Z else 2025-12-04T09:20:36.8438487Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-12-04T09:20:36.8438805Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-12-04T09:20:36.8439054Z  --metadata "${BENCHMARK_METADATA}" \ 2025-12-04T09:20:36.8439268Z  --runners "${RUNNER_INFO}" \ 2025-12-04T09:20:36.8439472Z  --dependencies "${DEPENDENCIES}" 2025-12-04T09:20:36.8439668Z fi 2025-12-04T09:20:36.8443327Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:20:36.8443564Z env: 2025-12-04T09:20:36.8443715Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:20:36.8443881Z HAS_NVIDIA_GPU: false 2025-12-04T09:20:36.8444151Z DOCKER_CONTAINER_ID: 62380445a548ddca4705ac474c383cd5999deab9929d69794a3d01eff7dd3352 2025-12-04T09:20:36.8444435Z DEVICE_NAME: 2025-12-04T09:20:36.8444586Z DEVICE_TYPE: 2025-12-04T09:20:36.8444820Z BENCHMARK_RESULTS_DIR: test/test-reports 2025-12-04T09:20:36.8445018Z DRY_RUN: false 2025-12-04T09:20:36.8445730Z BENCHMARK_METADATA: {"timestamp": 1764840036, "schema_version": "v3", "name": "inductor-cpu-test / test (cpu_inductor_torchbench, 1, 2, linux.2xlarge.amx)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32", "workflow_id": 19921726389, "run_attempt": 1, "job_id": 57113856410} 2025-12-04T09:20:36.8446714Z RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 8, "avail_mem_in_gb": 30, "extra_info": {"hostname": "ip-10-0-69-97.ec2.internal"}, "name": "", "type": ""}] 2025-12-04T09:20:36.8447096Z DEPENDENCIES: {} 2025-12-04T09:20:36.8447259Z ##[endgroup] 2025-12-04T09:20:36.8468022Z + [[ -n '' ]] 2025-12-04T09:20:36.8472177Z + [[ ! -d test/test-reports ]] 2025-12-04T09:20:36.8475778Z + [[ false == \t\r\u\e ]] 2025-12-04T09:20:36.8478756Z + 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": 1764840036, "schema_version": "v3", "name": "inductor-cpu-test / test (cpu_inductor_torchbench, 1, 2, linux.2xlarge.amx)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32", "workflow_id": 19921726389, "run_attempt": 1, "job_id": 57113856410}' --runners '[{"cpu_info": "x86_64", "cpu_count": 8, "avail_mem_in_gb": 30, "extra_info": {"hostname": "ip-10-0-69-97.ec2.internal"}, "name": "", "type": ""}]' --dependencies '{}' 2025-12-04T09:20:37.0261425Z INFO:root:Upload test/test-reports/inference_torchbench.json to s3://ossci-benchmarks/v3/pytorch/pytorch/19921726389/57113856410/inference_torchbench.json 2025-12-04T09:20:37.0505813Z INFO:botocore.credentials:Found credentials from IAM Role: gh-ci-github-action-runners-runner-role 2025-12-04T09:20:37.2768702Z ##[group]Run cat test/**/*_toprint.log || true 2025-12-04T09:20:37.2768975Z cat test/**/*_toprint.log || true 2025-12-04T09:20:37.2773139Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:20:37.2773373Z env: 2025-12-04T09:20:37.2773523Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:20:37.2773698Z HAS_NVIDIA_GPU: false 2025-12-04T09:20:37.2773972Z DOCKER_CONTAINER_ID: 62380445a548ddca4705ac474c383cd5999deab9929d69794a3d01eff7dd3352 2025-12-04T09:20:37.2774264Z DEVICE_NAME: 2025-12-04T09:20:37.2774416Z DEVICE_TYPE: 2025-12-04T09:20:37.2774568Z ##[endgroup] 2025-12-04T09:20:37.2844337Z cat: 'test/**/*_toprint.log': No such file or directory 2025-12-04T09:20:37.2910889Z ##[group]Run kill "$MONITOR_SCRIPT_PID" 2025-12-04T09:20:37.2911124Z kill "$MONITOR_SCRIPT_PID" 2025-12-04T09:20:37.2914666Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:20:37.2914891Z env: 2025-12-04T09:20:37.2915045Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:20:37.2915218Z HAS_NVIDIA_GPU: false 2025-12-04T09:20:37.2915487Z DOCKER_CONTAINER_ID: 62380445a548ddca4705ac474c383cd5999deab9929d69794a3d01eff7dd3352 2025-12-04T09:20:37.2916116Z DEVICE_NAME: 2025-12-04T09:20:37.2916272Z DEVICE_TYPE: 2025-12-04T09:20:37.2916430Z MONITOR_SCRIPT_PID: 45041 2025-12-04T09:20:37.2916600Z ##[endgroup] 2025-12-04T09:20:37.2937595Z /home/ec2-user/actions-runner/_work/_temp/09564436-7311-4d90-a0af-8afc0d9a7dfb.sh: line 1: kill: (45041) - No such process 2025-12-04T09:20:37.2946816Z ##[error]Process completed with exit code 1. 2025-12-04T09:20:37.3034226Z Prepare all required actions 2025-12-04T09:20:37.3034531Z Getting action download info 2025-12-04T09:20:37.4824934Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-12-04T09:20:37.7299656Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02) 2025-12-04T09:20:38.3448498Z ##[group]Run ./.github/actions/upload-test-artifacts 2025-12-04T09:20:38.3448802Z with: 2025-12-04T09:20:38.3449043Z file-suffix: test-cpu_inductor_torchbench-1-2-linux.2xlarge.amx_57113856410 2025-12-04T09:20:38.3449320Z s3-bucket: gha-artifacts 2025-12-04T09:20:38.3449486Z env: 2025-12-04T09:20:38.3449632Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:20:38.3449801Z HAS_NVIDIA_GPU: false 2025-12-04T09:20:38.3450067Z DOCKER_CONTAINER_ID: 62380445a548ddca4705ac474c383cd5999deab9929d69794a3d01eff7dd3352 2025-12-04T09:20:38.3450356Z DEVICE_NAME: 2025-12-04T09:20:38.3450506Z DEVICE_TYPE: 2025-12-04T09:20:38.3450677Z ##[endgroup] 2025-12-04T09:20:38.3471093Z ##[group]Run # Remove any previous test jsons if they exist 2025-12-04T09:20:38.3471449Z # Remove any previous test jsons if they exist 2025-12-04T09:20:38.3471683Z rm -f test-jsons-*.zip 2025-12-04T09:20:38.3471949Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json' 2025-12-04T09:20:38.3476129Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:20:38.3476360Z env: 2025-12-04T09:20:38.3476515Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:20:38.3476688Z HAS_NVIDIA_GPU: false 2025-12-04T09:20:38.3476951Z DOCKER_CONTAINER_ID: 62380445a548ddca4705ac474c383cd5999deab9929d69794a3d01eff7dd3352 2025-12-04T09:20:38.3477241Z DEVICE_NAME: 2025-12-04T09:20:38.3477389Z DEVICE_TYPE: 2025-12-04T09:20:38.3477618Z FILE_SUFFIX: test-cpu_inductor_torchbench-1-2-linux.2xlarge.amx_57113856410 2025-12-04T09:20:38.3477881Z ##[endgroup] 2025-12-04T09:20:38.3651821Z adding: test/test-reports/inference_torchbench.json (deflated 99%) 2025-12-04T09:20:38.3677978Z ##[group]Run # Remove any previous test reports if they exist 2025-12-04T09:20:38.3678274Z # Remove any previous test reports if they exist 2025-12-04T09:20:38.3678513Z rm -f test-reports-*.zip 2025-12-04T09:20:38.3678803Z zip -r "test-reports-${FILE_SUFFIX}.zip" test/test-reports -i '*.xml' -i '*.csv' 2025-12-04T09:20:38.3682805Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:20:38.3683040Z env: 2025-12-04T09:20:38.3683202Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:20:38.3719397Z HAS_NVIDIA_GPU: false 2025-12-04T09:20:38.3719712Z DOCKER_CONTAINER_ID: 62380445a548ddca4705ac474c383cd5999deab9929d69794a3d01eff7dd3352 2025-12-04T09:20:38.3720007Z DEVICE_NAME: 2025-12-04T09:20:38.3720159Z DEVICE_TYPE: 2025-12-04T09:20:38.3720390Z FILE_SUFFIX: test-cpu_inductor_torchbench-1-2-linux.2xlarge.amx_57113856410 2025-12-04T09:20:38.3720648Z ##[endgroup] 2025-12-04T09:20:38.3760162Z adding: test/test-reports/inference_torchbench.csv (deflated 62%) 2025-12-04T09:20:38.3788289Z adding: test/test-reports/inference_torchbench_graph_breaks.csv (deflated 97%) 2025-12-04T09:20:38.3788886Z adding: test/test-reports/inference_torchbench_graph_break_deduped.csv (deflated 79%) 2025-12-04T09:20:38.3815118Z ##[group]Run # Remove any previous usage logs if they exist 2025-12-04T09:20:38.3815405Z # Remove any previous usage logs if they exist 2025-12-04T09:20:38.3815823Z rm -f logs-*.zip 2025-12-04T09:20:38.3816052Z zip "logs-${FILE_SUFFIX}.zip" 'usage_log.txt' || true 2025-12-04T09:20:38.3816355Z zip -r "logs-${FILE_SUFFIX}.zip" test/test-reports -i '*.log' || true 2025-12-04T09:20:38.3819816Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:20:38.3820049Z env: 2025-12-04T09:20:38.3820203Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:20:38.3820373Z HAS_NVIDIA_GPU: false 2025-12-04T09:20:38.3820778Z DOCKER_CONTAINER_ID: 62380445a548ddca4705ac474c383cd5999deab9929d69794a3d01eff7dd3352 2025-12-04T09:20:38.3821074Z DEVICE_NAME: 2025-12-04T09:20:38.3821238Z DEVICE_TYPE: 2025-12-04T09:20:38.3821472Z FILE_SUFFIX: test-cpu_inductor_torchbench-1-2-linux.2xlarge.amx_57113856410 2025-12-04T09:20:38.3821739Z ##[endgroup] 2025-12-04T09:20:38.3880855Z adding: usage_log.txt (deflated 58%) 2025-12-04T09:20:38.3890287Z 2025-12-04T09:20:38.3890860Z zip error: Nothing to do! (logs-test-cpu_inductor_torchbench-1-2-linux.2xlarge.amx_57113856410.zip) 2025-12-04T09:20:38.3911826Z ##[group]Run # Remove any previous debugging artifacts if they exist 2025-12-04T09:20:38.3912149Z # Remove any previous debugging artifacts if they exist 2025-12-04T09:20:38.3912401Z rm -f debug-*.zip 2025-12-04T09:20:38.3912590Z if [ -d 'test/debug' ]; then 2025-12-04T09:20:38.3912817Z  zip -r "debug-${FILE_SUFFIX}.zip" test/debug 2025-12-04T09:20:38.3913021Z fi 2025-12-04T09:20:38.3916676Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:20:38.3916912Z env: 2025-12-04T09:20:38.3917057Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:20:38.3917278Z HAS_NVIDIA_GPU: false 2025-12-04T09:20:38.3917552Z DOCKER_CONTAINER_ID: 62380445a548ddca4705ac474c383cd5999deab9929d69794a3d01eff7dd3352 2025-12-04T09:20:38.3917829Z DEVICE_NAME: 2025-12-04T09:20:38.3917983Z DEVICE_TYPE: 2025-12-04T09:20:38.3918224Z FILE_SUFFIX: test-cpu_inductor_torchbench-1-2-linux.2xlarge.amx_57113856410 2025-12-04T09:20:38.3918479Z ##[endgroup] 2025-12-04T09:20:38.3985746Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-12-04T09:20:38.3985946Z with: 2025-12-04T09:20:38.3986101Z s3-bucket: gha-artifacts 2025-12-04T09:20:38.3986308Z s3-prefix: pytorch/pytorch/19921726389/1/artifact 2025-12-04T09:20:38.3986514Z retention-days: 14 2025-12-04T09:20:38.3986683Z if-no-files-found: warn 2025-12-04T09:20:38.3986855Z path: test-jsons-*.zip 2025-12-04T09:20:38.3987015Z name: artifact 2025-12-04T09:20:38.3987176Z region: us-east-1 2025-12-04T09:20:38.3987322Z env: 2025-12-04T09:20:38.3987460Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:20:38.3987636Z HAS_NVIDIA_GPU: false 2025-12-04T09:20:38.3987905Z DOCKER_CONTAINER_ID: 62380445a548ddca4705ac474c383cd5999deab9929d69794a3d01eff7dd3352 2025-12-04T09:20:38.3988187Z DEVICE_NAME: 2025-12-04T09:20:38.3988328Z DEVICE_TYPE: 2025-12-04T09:20:38.3988474Z ##[endgroup] 2025-12-04T09:20:38.6478154Z NOTE: s3-prefix specified, ignoring name parameter 2025-12-04T09:20:38.6478656Z With the provided path, there will be 1 file uploaded 2025-12-04T09:20:38.6479058Z Uploading to s3 prefix: pytorch/pytorch/19921726389/1/artifact 2025-12-04T09:20:38.6509152Z Starting upload of test-jsons-test-cpu_inductor_torchbench-1-2-linux.2xlarge.amx_57113856410.zip 2025-12-04T09:20:38.7805522Z Finished upload of test-jsons-test-cpu_inductor_torchbench-1-2-linux.2xlarge.amx_57113856410.zip 2025-12-04T09:20:38.7962298Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-12-04T09:20:38.7962526Z with: 2025-12-04T09:20:38.7962706Z s3-bucket: gha-artifacts 2025-12-04T09:20:38.7962926Z s3-prefix: pytorch/pytorch/19921726389/1/artifact 2025-12-04T09:20:38.7963153Z retention-days: 14 2025-12-04T09:20:38.7963316Z if-no-files-found: error 2025-12-04T09:20:38.7963495Z path: test-reports-*.zip 2025-12-04T09:20:38.7963665Z name: artifact 2025-12-04T09:20:38.7963813Z region: us-east-1 2025-12-04T09:20:38.7963966Z env: 2025-12-04T09:20:38.7964112Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:20:38.7964282Z HAS_NVIDIA_GPU: false 2025-12-04T09:20:38.7964557Z DOCKER_CONTAINER_ID: 62380445a548ddca4705ac474c383cd5999deab9929d69794a3d01eff7dd3352 2025-12-04T09:20:38.7964839Z DEVICE_NAME: 2025-12-04T09:20:38.7964986Z DEVICE_TYPE: 2025-12-04T09:20:38.7965127Z ##[endgroup] 2025-12-04T09:20:39.0636485Z NOTE: s3-prefix specified, ignoring name parameter 2025-12-04T09:20:39.0640053Z With the provided path, there will be 1 file uploaded 2025-12-04T09:20:39.0640816Z Uploading to s3 prefix: pytorch/pytorch/19921726389/1/artifact 2025-12-04T09:20:39.0667395Z Starting upload of test-reports-test-cpu_inductor_torchbench-1-2-linux.2xlarge.amx_57113856410.zip 2025-12-04T09:20:39.1671048Z Finished upload of test-reports-test-cpu_inductor_torchbench-1-2-linux.2xlarge.amx_57113856410.zip 2025-12-04T09:20:39.1832734Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-12-04T09:20:39.1832944Z with: 2025-12-04T09:20:39.1833105Z s3-bucket: gha-artifacts 2025-12-04T09:20:39.1833319Z s3-prefix: pytorch/pytorch/19921726389/1/artifact 2025-12-04T09:20:39.1833598Z retention-days: 14 2025-12-04T09:20:39.1833767Z if-no-files-found: ignore 2025-12-04T09:20:39.1833943Z path: logs-*.zip 2025-12-04T09:20:39.1834091Z name: artifact 2025-12-04T09:20:39.1834243Z region: us-east-1 2025-12-04T09:20:39.1834397Z env: 2025-12-04T09:20:39.1834537Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:20:39.1834712Z HAS_NVIDIA_GPU: false 2025-12-04T09:20:39.1835000Z DOCKER_CONTAINER_ID: 62380445a548ddca4705ac474c383cd5999deab9929d69794a3d01eff7dd3352 2025-12-04T09:20:39.1835287Z DEVICE_NAME: 2025-12-04T09:20:39.1835431Z DEVICE_TYPE: 2025-12-04T09:20:39.1835627Z ##[endgroup] 2025-12-04T09:20:39.4279868Z NOTE: s3-prefix specified, ignoring name parameter 2025-12-04T09:20:39.4280364Z With the provided path, there will be 1 file uploaded 2025-12-04T09:20:39.4280766Z Uploading to s3 prefix: pytorch/pytorch/19921726389/1/artifact 2025-12-04T09:20:39.4309843Z Starting upload of logs-test-cpu_inductor_torchbench-1-2-linux.2xlarge.amx_57113856410.zip 2025-12-04T09:20:39.5430186Z Finished upload of logs-test-cpu_inductor_torchbench-1-2-linux.2xlarge.amx_57113856410.zip 2025-12-04T09:20:39.5591491Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-12-04T09:20:39.5591706Z with: 2025-12-04T09:20:39.5591866Z s3-bucket: gha-artifacts 2025-12-04T09:20:39.5592068Z s3-prefix: pytorch/pytorch/19921726389/1/artifact 2025-12-04T09:20:39.5592284Z retention-days: 14 2025-12-04T09:20:39.5592451Z if-no-files-found: ignore 2025-12-04T09:20:39.5592641Z path: debug-*.zip 2025-12-04T09:20:39.5592796Z name: artifact 2025-12-04T09:20:39.5592949Z region: us-east-1 2025-12-04T09:20:39.5593098Z env: 2025-12-04T09:20:39.5593244Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:20:39.5593415Z HAS_NVIDIA_GPU: false 2025-12-04T09:20:39.5593681Z DOCKER_CONTAINER_ID: 62380445a548ddca4705ac474c383cd5999deab9929d69794a3d01eff7dd3352 2025-12-04T09:20:39.5593966Z DEVICE_NAME: 2025-12-04T09:20:39.5594115Z DEVICE_TYPE: 2025-12-04T09:20:39.5594264Z ##[endgroup] 2025-12-04T09:20:39.7929976Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded. 2025-12-04T09:20:39.8094670Z ##[group]Run # shellcheck disable=SC2156 2025-12-04T09:20:39.8094920Z # shellcheck disable=SC2156 2025-12-04T09:20:39.8095271Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \; 2025-12-04T09:20:39.8099894Z shell: /usr/bin/bash -e {0} 2025-12-04T09:20:39.8100074Z env: 2025-12-04T09:20:39.8100225Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:20:39.8100392Z HAS_NVIDIA_GPU: false 2025-12-04T09:20:39.8100663Z DOCKER_CONTAINER_ID: 62380445a548ddca4705ac474c383cd5999deab9929d69794a3d01eff7dd3352 2025-12-04T09:20:39.8100964Z DEVICE_NAME: 2025-12-04T09:20:39.8101114Z DEVICE_TYPE: 2025-12-04T09:20:39.8101256Z ##[endgroup] 2025-12-04T09:20:39.9934618Z Prepare all required actions 2025-12-04T09:20:39.9934927Z Getting action download info 2025-12-04T09:20:40.1358632Z Download action repository 'actions/setup-python@v6' (SHA:83679a892e2d95755f2dac6acb0bfd1e9ac5d548) 2025-12-04T09:20:40.5380378Z ##[group]Run ./.github/actions/upload-utilization-stats 2025-12-04T09:20:40.5380609Z with: 2025-12-04T09:20:40.5380768Z job_id: 57113856410 2025-12-04T09:20:40.5381037Z job_name: inductor-cpu-test / test (cpu_inductor_torchbench, 1, 2, linux.2xlarge.amx) 2025-12-04T09:20:40.5381321Z workflow_name: inductor 2025-12-04T09:20:40.5381505Z workflow_run_id: 19921726389 2025-12-04T09:20:40.5381684Z workflow_attempt: 1 2025-12-04T09:20:40.5381838Z env: 2025-12-04T09:20:40.5381977Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:20:40.5382165Z HAS_NVIDIA_GPU: false 2025-12-04T09:20:40.5382438Z DOCKER_CONTAINER_ID: 62380445a548ddca4705ac474c383cd5999deab9929d69794a3d01eff7dd3352 2025-12-04T09:20:40.5382715Z DEVICE_NAME: 2025-12-04T09:20:40.5382904Z DEVICE_TYPE: 2025-12-04T09:20:40.5383053Z ##[endgroup] 2025-12-04T09:20:40.5419799Z ##[group]Run actions/setup-python@v6 2025-12-04T09:20:40.5420062Z with: 2025-12-04T09:20:40.5420218Z python-version: 3.10 2025-12-04T09:20:40.5420384Z check-latest: false 2025-12-04T09:20:40.5420623Z token: *** 2025-12-04T09:20:40.5420786Z update-environment: true 2025-12-04T09:20:40.5420964Z allow-prereleases: false 2025-12-04T09:20:40.5421133Z freethreaded: false 2025-12-04T09:20:40.5421279Z env: 2025-12-04T09:20:40.5421421Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:20:40.5421588Z HAS_NVIDIA_GPU: false 2025-12-04T09:20:40.5421852Z DOCKER_CONTAINER_ID: 62380445a548ddca4705ac474c383cd5999deab9929d69794a3d01eff7dd3352 2025-12-04T09:20:40.5422139Z DEVICE_NAME: 2025-12-04T09:20:40.5422338Z DEVICE_TYPE: 2025-12-04T09:20:40.5422478Z ##[endgroup] 2025-12-04T09:20:41.0663211Z ##[group]Installed versions 2025-12-04T09:20:41.0677466Z Version 3.10 was not found in the local cache 2025-12-04T09:20:41.0922563Z (node:58992) [DEP0040] DeprecationWarning: The `punycode` module is deprecated. Please use a userland alternative instead. 2025-12-04T09:20:41.0927626Z (Use `node --trace-deprecation ...` to show where the warning was created) 2025-12-04T09:20:41.4436459Z ##[error]The version '3.10' with architecture 'x64' was not found for this operating system. The list of all available versions can be found here: https://raw.githubusercontent.com/actions/python-versions/main/versions-manifest.json 2025-12-04T09:20:41.4636237Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main 2025-12-04T09:20:41.4636498Z with: 2025-12-04T09:20:41.4636634Z env: 2025-12-04T09:20:41.4636784Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:20:41.4636964Z HAS_NVIDIA_GPU: false 2025-12-04T09:20:41.4637237Z DOCKER_CONTAINER_ID: 62380445a548ddca4705ac474c383cd5999deab9929d69794a3d01eff7dd3352 2025-12-04T09:20:41.4637540Z DEVICE_NAME: 2025-12-04T09:20:41.4637694Z DEVICE_TYPE: 2025-12-04T09:20:41.4637832Z ##[endgroup] 2025-12-04T09:20:41.4661174Z ##[group]Run set -eou pipefail 2025-12-04T09:20:41.4661404Z set -eou pipefail 2025-12-04T09:20:41.4661574Z  2025-12-04T09:20:41.4661821Z echo "Holding runner for 2 hours until all ssh sessions have logged out" 2025-12-04T09:20:41.4662092Z for _ in $(seq 1440); do 2025-12-04T09:20:41.4662297Z  # Break if no ssh session exists anymore 2025-12-04T09:20:41.4662510Z  if [ "$(who)" = "" ]; then 2025-12-04T09:20:41.4662723Z  break 2025-12-04T09:20:41.4662872Z  fi 2025-12-04T09:20:41.4663022Z  echo "." 2025-12-04T09:20:41.4663180Z  sleep 5 2025-12-04T09:20:41.4663324Z done 2025-12-04T09:20:41.4667677Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:20:41.4667908Z env: 2025-12-04T09:20:41.4668051Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:20:41.4668223Z HAS_NVIDIA_GPU: false 2025-12-04T09:20:41.4668494Z DOCKER_CONTAINER_ID: 62380445a548ddca4705ac474c383cd5999deab9929d69794a3d01eff7dd3352 2025-12-04T09:20:41.4668772Z DEVICE_NAME: 2025-12-04T09:20:41.4668921Z DEVICE_TYPE: 2025-12-04T09:20:41.4669071Z ##[endgroup] 2025-12-04T09:20:41.4691299Z Holding runner for 2 hours until all ssh sessions have logged out 2025-12-04T09:20:41.4788934Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-12-04T09:20:41.4789267Z # ignore expansion of "docker ps -q" since it could be empty 2025-12-04T09:20:41.4789540Z # shellcheck disable=SC2046 2025-12-04T09:20:41.4789758Z docker stop $(docker ps -q) || true 2025-12-04T09:20:41.4789970Z # Prune all of the docker images 2025-12-04T09:20:41.4790168Z docker system prune -af 2025-12-04T09:20:41.4793691Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:20:41.4793925Z env: 2025-12-04T09:20:41.4794069Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:20:41.4794238Z HAS_NVIDIA_GPU: false 2025-12-04T09:20:41.4794514Z DOCKER_CONTAINER_ID: 62380445a548ddca4705ac474c383cd5999deab9929d69794a3d01eff7dd3352 2025-12-04T09:20:41.4794799Z DEVICE_NAME: 2025-12-04T09:20:41.4795024Z DEVICE_TYPE: 2025-12-04T09:20:41.4795173Z ##[endgroup] 2025-12-04T09:20:51.9940762Z 62380445a548 2025-12-04T09:20:52.8138170Z Deleted Containers: 2025-12-04T09:20:52.8142675Z 62380445a548ddca4705ac474c383cd5999deab9929d69794a3d01eff7dd3352 2025-12-04T09:20:52.8144282Z 2025-12-04T09:21:16.6994471Z Deleted Images: 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[command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader 2025-12-04T09:21:17.4146396Z [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' || :" 2025-12-04T09:21:17.4429132Z Entering 'android/libs/fbjni' 2025-12-04T09:21:17.4464520Z http.https://github.com/.extraheader 2025-12-04T09:21:17.4502162Z Entering 'third_party/FP16' 2025-12-04T09:21:17.4536061Z http.https://github.com/.extraheader 2025-12-04T09:21:17.4573428Z Entering 'third_party/FXdiv' 2025-12-04T09:21:17.4603762Z http.https://github.com/.extraheader 2025-12-04T09:21:17.4644337Z Entering 'third_party/NNPACK' 2025-12-04T09:21:17.4674916Z http.https://github.com/.extraheader 2025-12-04T09:21:17.4712464Z Entering 'third_party/NVTX' 2025-12-04T09:21:17.4743847Z http.https://github.com/.extraheader 2025-12-04T09:21:17.4781396Z Entering 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